tokenpocket钱包最新版app|ethnic origins or ancestry

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群体遗传学中种族使用上的区分 Race/Ethnicity/Ancestry - 知乎

群体遗传学中种族使用上的区分 Race/Ethnicity/Ancestry - 知乎首发于GWASLab切换模式写文章登录/注册群体遗传学中种族使用上的区分 Race/Ethnicity/AncestryGWASLabgwaslab.com 分享生物信息,统计遗传学学习心得。英文中的常用的表示种族的词语包括Race,Ethnicity以及Ancestry。但在中文中通常都翻译成种族。本文就这些词的使用区分做简单介绍与讨论。种族概念的区分首先介绍Population,这是一个最为广义的词语,可以用于表示任何一群体,可大可小。通常含义基于上下文,没有明确区分。例如,在中国人群中的全基因组关联分析就可以说成 GWAS in a Chinese population.Race, 种族(人种),是一个由社会构建的区分系统,但该系统基于对内在的生物学特征或差异错误的认知,典型的例子便是物理特征(诸如肤色)以及社会文化的特征。举例,种族歧视应当被消除。Ethnicity, 种族 (民族),是一个表示某一群体的社会政治概念, 通常有相连的地理位置,基于共同的遗产或相似文化,例如语言,宗教信仰等。举例,中国有五十六个民族,这个民族就是Ethnic group,汉族Han Chinese 就是一个Ethnic group。Ethnicity与Ancestry容易混淆的点在于,多数情况下Ethnicity所表示的群体通常情况下也会有共同的家系或是遗传继承,但有一些地区Ethnicity表示的仅为社会文化实体而没有遗传学基础。Ancestry, 种族 (族裔/祖先),是一个更为复杂的概念,包括了生物学以及社会学的成分。在西方,这个词通常反应群体的社会文化以及所来自大陆的起源,而在东方,以及南半球,这个词通常反映家系或是遗传继承。多数情况下,ancestry是群体遗传学文章中更应当使用的词语。举例,使用频率较高的有 European ancestry, East Asian ancestry, South Asian ancestry等等。举一个例子来综合上述概念,某研究组收集了中国人群的基因数据用于GWAS研究,那这个群体泛称就可以是一个中国人群体 a Chinese population,其中有汉族和傣族,这里的族就是ethinc group(Han Chinese 和 Chinese Dai), 而整个群体在群体遗传学上则都属于East Asian Ancestry。群体遗传学领域使用上的区分一个核心上的区别点就在于是否主观与客观, race以及ethinitity存在主观成分,而ancestry则为客观描述性的词语,反映基因组中的某些固定特征。在生物学或遗传学文章中,单纯描述遗传学意义的种族时应使用客观性的词语,即ancestry。群体遗传学中跨种族跨群体的英文使用简单来说应当使用 cross-population, cross-ancestry, multi-population 或 multi-ancestry 而不是 trans-ethnic原因trans有多种含义,应当使用更准确且而不引起歧义的cross或者multiethnic包含社会学成分,存在易变的主观成分,应当使用ancestry,或更广义的population基于一些历史原因,早期的文章常常混用,早期的文章中例如Brown, B. C., Ye, C. J., Price, A. L., & Zaitlen, N. (2016). Transethnic genetic-correlation estimates from summary statistics. The American Journal of Human Genetics, 99(1), 76-88.中使用了,Transethnic, 但其含义应为cross-ancestry,比较合适的用例如Momin, M. M., Shin, J., Lee, S., Truong, B., Benyamin, B., & Lee, S. H. (2023). A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. Nature Communications, 14(1), 722.参考群体遗传学中种族使用上的区分 Race/Ethnicity/AncestryKachuri, L., Chatterjee, N., Hirbo, J. et al. Principles and methods for transferring polygenic risk scores across global populations. Nat Rev Genet (2023). https://doi.org/10.1038/s41576-023-00637-2Kamariza, M., Crawford, L., Jones, D., & Finucane, H. (2021). Misuse of the term ‘trans-ethnic’in genomics research. Nature Genetics, 53(11), 1520-1521.发布于 2023-08-26 13:40・IP 属地日本生物学生物信息学医学​赞同 12​​1 条评论​分享​喜欢​收藏​申请转载​文章被以下专栏收录GWASLab群体遗传学,遗传统计学,全基因组关

race 和 ethnicity该怎么区别? - 知乎

race 和 ethnicity该怎么区别? - 知乎首页知乎知学堂发现等你来答​切换模式登录/注册英语race 和 ethnicity该怎么区别?经常看到如果一段话里提到race,后面通常都会跟一个and ethnicity,它们的区别在哪儿?民族、种族?自我认知和外界标签?关注者36被浏览159,201关注问题​写回答​邀请回答​好问题 2​添加评论​分享​5 个回答默认排序May Wang若要了时当下了,若觅了时无了时。​ 关注这学期正好修了一门社会学课程,讲述美国移民历史下的种族理解,首先看牛津字典和社会学字典上的两个单词的定义EthnicityIndividuals who consider themselves, or are considered by others, to share common characteristics that differentiate them from the other collectivities in a society, and from which they develop their distinctive cultural behaviour, form an ethnic group. Race:each of the major divisions of humankind, having distinct physical characteristics 简言之,Race应该翻译成种族,它是以“外表”来区别,正如我们常说的黄种人,白种人,黑种人。种族歧视主义的英文就为Racist 而Ethnicity应该定义成族群,它是以后天的”文化认同“来区别,由于共同的信仰,语言,文化习俗和历史背景而产生的归属感,是一种主观的自我认定而形成的。这两个词还会经常同Nation(民族)相联系。对于社会学了解还是比较浅显,如果有错误还希望有所指正。发布于 2013-11-14 10:19​赞同 95​​5 条评论​分享​收藏​喜欢收起​吴蜀春菩萨畏因,众生畏果。​ 关注工作的时候想到这个问题,给你看一个调查表里的划分吧。ethnicity下的选项分为:Hispanic or LatinoCentral AmericanCubanLatin AmericanDominicanMexicanPuerto RicanSouth AmericanSpaniardNot Hispanic or LatinoNot Applicablerace选项的划分为:American Indian or Alaska NativeAsianBlack or African AmericanNative Hawaiian or Other Pacific IslanderWhite发布于 2018-07-09 14:32​赞同 14​​2 条评论​分享​收藏​喜欢

Ethnicity - Wikipedia

Ethnicity - Wikipedia

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1Terminology

2Definitions and conceptual history

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2.1Approaches to understanding ethnicity

2.2Ethnicity theory in the United States

3Ethnicity and nationality

4Ethnicity and race

5Ethno-national conflict

6Ethnic groups by continent

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6.1Africa

6.2Asia

6.3Europe

6.4North America

6.5South America

6.6Oceania

6.6.1Australia

7See also

8References

9Further reading

10External links

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Ethnicity

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From Wikipedia, the free encyclopedia

Socially defined category of people who identify with each other

For other uses, see Ethnicity (disambiguation).

"Ethnicities" redirects here. For the academic journal, see Ethnicities (journal).

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An ethnicity or ethnic group is a grouping of people who identify with each other on the basis of perceived shared attributes that distinguish them from other groups. Those attributes can include a common nation of origin, or common sets of ancestry, traditions, language, history, society, religion, or social treatment.[1][2] The term ethnicity is often used interchangeably with the term nation, particularly in cases of ethnic nationalism.

Ethnicity may be construed as an inherited or societally imposed construct. Ethnic membership tends to be defined by a shared cultural heritage, ancestry, origin myth, history, homeland, language, dialect, religion, mythology, folklore, ritual, cuisine, dressing style, art, or physical appearance. Ethnic groups may share a narrow or broad spectrum of genetic ancestry, depending on group identification, with many groups having mixed genetic ancestry.[3][4][5]

By way of language shift, acculturation, adoption, and religious conversion, individuals or groups may over time shift from one ethnic group to another. Ethnic groups may be divided into subgroups or tribes, which over time may become separate ethnic groups themselves due to endogamy or physical isolation from the parent group. Conversely, formerly separate ethnicities can merge to form a pan-ethnicity and may eventually merge into one single ethnicity. Whether through division or amalgamation, the formation of a separate ethnic identity is referred to as ethnogenesis.

Although both organic and performative criteria characterise ethnic groups, debate in the past has dichotomised between primordialism and constructivism. Earlier 20th-century "Primordialists" viewed ethnic groups as real phenomena whose distinct characteristics have endured since the distant past.[6] Perspectives that developed after the 1960s increasingly viewed ethnic groups as social constructs, with identity assigned by societal rules.[7]

Terminology[edit]

The term ethnic is derived from the Greek word ἔθνος ethnos (more precisely, from the adjective ἐθνικός ethnikos,[8] which was loaned into Latin as ethnicus). The inherited English language term for this concept is folk, used alongside the latinate people since the late Middle English period.

In Early Modern English and until the mid-19th century, ethnic was used to mean heathen or pagan (in the sense of disparate "nations" which did not yet participate in the Christian oikumene), as the Septuagint used ta ethne ("the nations") to translate the Hebrew goyim "the foreign nations, non-Hebrews, non-Jews".[9] The Greek term in early antiquity (Homeric Greek) could refer to any large group, a host of men, a band of comrades as well as a swarm or flock of animals. In Classical Greek, the term took on a meaning comparable to the concept now expressed by "ethnic group", mostly translated as "nation, tribe, a unique people group"; only in Hellenistic Greek did the term tend to become further narrowed to refer to "foreign" or "barbarous" nations in particular (whence the later meaning "heathen, pagan").[10]

In the 19th century, the term came to be used in the sense of "peculiar to a tribe, race, people or nation", in a return to the original Greek meaning. The sense of "different cultural groups", and in American English "tribal, racial, cultural or national minority group" arises in the 1930s to 1940s,[11] serving as a replacement of the term race which had earlier taken this sense but was now becoming deprecated due to its association with ideological racism.

The abstract ethnicity had been used as a stand-in for "paganism" in the 18th century, but now came to express the meaning of an "ethnic character" (first recorded 1953).

The term ethnic group was first recorded in 1935 and entered the Oxford English Dictionary in 1972.[12] Depending on context, the term nationality may be used either synonymously with ethnicity or synonymously with citizenship (in a sovereign state). The process that results in emergence of an ethnicity is called ethnogenesis, a term in use in ethnological literature since about 1950. The term may also be used with the connotation of something unique and unusually exotic (cf. "an ethnic restaurant", etc.), generally related to cultures of more recent immigrants, who arrived after the dominant population of an area was established.

Depending on which source of group identity is emphasized to define membership, the following types of (often mutually overlapping) groups can be identified:

Ethno-linguistic, emphasizing shared language, dialect (and possibly script) – example: French Canadians

Ethno-national, emphasizing a shared polity or sense of national identity – example: Austrians

Ethno-racial, emphasizing shared physical appearance based on phenotype  – example: African Americans

Ethno-regional, emphasizing a distinct local sense of belonging stemming from relative geographic isolation – example: South Islanders of New Zealand

Ethno-religious, emphasizing shared affiliation with a particular religion, denomination or sect – example: Sikhs

Ethno-cultural, emphasizing shared culture or tradition, often overlapping with other forms of ethnicity – example: Travellers

In many cases, more than one aspect determines membership: for instance, Armenian ethnicity can be defined by Armenian citizenship, having Armenian heritage, native use of the Armenian language, or membership of the Armenian Apostolic Church.

Definitions and conceptual history[edit]

A group of ethnic Bengalis in Dhaka, Bangladesh. The Bengalis form the third-largest ethnic group in the world after the Han Chinese and Arabs.[13]

The Javanese people of Indonesia are the largest Austronesian ethnic group.

Ethnography begins in classical antiquity; after early authors like Anaximander and Hecataeus of Miletus, Herodotus laid the foundation of both historiography and ethnography of the ancient world c. 480 BC. The Greeks had developed a concept of their own ethnicity, which they grouped under the name of Hellenes. Herodotus (8.144.2) gave a famous account of what defined Greek (Hellenic) ethnic identity in his day, enumerating

shared descent (ὅμαιμον – homaimon, "of the same blood"),[14]

shared language (ὁμόγλωσσον – homoglōsson, "speaking the same language"),[15]

shared sanctuaries and sacrifices (Greek: θεῶν ἱδρύματά τε κοινὰ καὶ θυσίαι – theōn hidrumata te koina kai thusiai),[16]

shared customs (Greek: ἤθεα ὁμότροπα – ēthea homotropa, "customs of like fashion").[17][18][19]

Whether ethnicity qualifies as a cultural universal is to some extent dependent on the exact definition used. Many social scientists,[20] such as anthropologists Fredrik Barth and Eric Wolf, do not consider ethnic identity to be universal. They regard ethnicity as a product of specific kinds of inter-group interactions, rather than an essential quality inherent to human groups.[21][irrelevant citation]

According to Thomas Hylland Eriksen, the study of ethnicity was dominated by two distinct debates until recently.

One is between "primordialism" and "instrumentalism". In the primordialist view, the participant perceives ethnic ties collectively, as an externally given, even coercive, social bond.[22] The instrumentalist approach, on the other hand, treats ethnicity primarily as an ad hoc element of a political strategy, used as a resource for interest groups for achieving secondary goals such as, for instance, an increase in wealth, power, or status.[23][24] This debate is still an important point of reference in Political science, although most scholars' approaches fall between the two poles.[25]

The second debate is between "constructivism" and "essentialism". Constructivists view national and ethnic identities as the product of historical forces, often recent, even when the identities are presented as old.[26][27] Essentialists view such identities as ontological categories defining social actors.[28][29]

According to Eriksen, these debates have been superseded, especially in anthropology, by scholars' attempts to respond to increasingly politicized forms of self-representation by members of different ethnic groups and nations. This is in the context of debates over multiculturalism in countries, such as the United States and Canada, which have large immigrant populations from many different cultures, and post-colonialism in the Caribbean and South Asia.[30]

Max Weber maintained that ethnic groups were künstlich (artificial, i.e. a social construct) because they were based on a subjective belief in shared Gemeinschaft (community). Secondly, this belief in shared Gemeinschaft did not create the group; the group created the belief. Third, group formation resulted from the drive to monopolize power and status. This was contrary to the prevailing naturalist belief of the time, which held that socio-cultural and behavioral differences between peoples stemmed from inherited traits and tendencies derived from common descent, then called "race".[31]

Another influential theoretician of ethnicity was Fredrik Barth, whose "Ethnic Groups and Boundaries" from 1969 has been described as instrumental in spreading the usage of the term in social studies in the 1980s and 1990s.[32] Barth went further than Weber in stressing the constructed nature of ethnicity. To Barth, ethnicity was perpetually negotiated and renegotiated by both external ascription and internal self-identification. Barth's view is that ethnic groups are not discontinuous cultural isolates or logical a priori to which people naturally belong. He wanted to part with anthropological notions of cultures as bounded entities, and ethnicity as primordialist bonds, replacing it with a focus on the interface between groups. "Ethnic Groups and Boundaries", therefore, is a focus on the interconnectedness of ethnic identities. Barth writes: "... categorical ethnic distinctions do not depend on an absence of mobility, contact, and information, but do entail social processes of exclusion and incorporation whereby discrete categories are maintained despite changing participation and membership in the course of individual life histories."[citation needed]

In 1978, anthropologist Ronald Cohen claimed that the identification of "ethnic groups" in the usage of social scientists often reflected inaccurate labels more than indigenous realities:

... the named ethnic identities we accept, often unthinkingly, as basic givens in the literature are often arbitrarily, or even worse inaccurately, imposed.[32]

In this way, he pointed to the fact that identification of an ethnic group by outsiders, e.g. anthropologists, may not coincide with the self-identification of the members of that group. He also described that in the first decades of usage, the term ethnicity had often been used in lieu of older terms such as "cultural" or "tribal" when referring to smaller groups with shared cultural systems and shared heritage, but that "ethnicity" had the added value of being able to describe the commonalities between systems of group identity in both tribal and modern societies. Cohen also suggested that claims concerning "ethnic" identity (like earlier claims concerning "tribal" identity) are often colonialist practices and effects of the relations between colonized peoples and nation-states.[32]

According to Paul James, formations of identity were often changed and distorted by colonization, but identities are not made out of nothing:

Categorizations about identity, even when codified and hardened into clear typologies by processes of colonization, state formation or general modernizing processes, are always full of tensions and contradictions. Sometimes these contradictions are destructive, but they can also be creative and positive.[33]

Social scientists have thus focused on how, when, and why different markers of ethnic identity become salient. Thus, anthropologist Joan Vincent observed that ethnic boundaries often have a mercurial character.[34] Ronald Cohen concluded that ethnicity is "a series of nesting dichotomizations of inclusiveness and exclusiveness".[32] He agrees with Joan Vincent's observation that (in Cohen's paraphrase) "Ethnicity ... can be narrowed or broadened in boundary terms in relation to the specific needs of political mobilization.[32] This may be why descent is sometimes a marker of ethnicity, and sometimes not: which diacritic of ethnicity is salient depends on whether people are scaling ethnic boundaries up or down, and whether they are scaling them up or down depends generally on the political situation.

Kanchan Chandra rejects the expansive definitions of ethnic identity (such as those that include common culture, common language, common history and common territory), choosing instead to define ethnic identity narrowly as a subset of identity categories determined by the belief of common descent.[35] Jóhanna Birnir similarly defines ethnicity as "group self-identification around a characteristic that is very difficult or even impossible to change, such as language, race, or location."[36]

Approaches to understanding ethnicity[edit]

Different approaches to understanding ethnicity have been used by different social scientists when trying to understand the nature of ethnicity as a factor in human life and society. As Jonathan M. Hall observes, World War II was a turning point in ethnic studies. The consequences of Nazi racism discouraged essentialist interpretations of ethnic groups and race. Ethnic groups came to be defined as social rather than biological entities. Their coherence was attributed to shared myths, descent, kinship, a commonplace of origin, language, religion, customs, and national character. So, ethnic groups are conceived as mutable rather than stable, constructed in discursive practices rather than written in the genes.[37]

Examples of various approaches are primordialism, essentialism, perennialism, constructivism, modernism, and instrumentalism.

"Primordialism", holds that ethnicity has existed at all times of human history and that modern ethnic groups have historical continuity into the far past. For them, the idea of ethnicity is closely linked to the idea of nations and is rooted in the pre-Weber understanding of humanity as being divided into primordially existing groups rooted by kinship and biological heritage.

"Essentialist primordialism" further holds that ethnicity is an a priori fact of human existence, that ethnicity precedes any human social interaction and that it is unchanged by it. This theory sees ethnic groups as natural, not just as historical. It also has problems dealing with the consequences of intermarriage, migration and colonization for the composition of modern-day multi-ethnic societies.[38]

"Kinship primordialism" holds that ethnic communities are extensions of kinship units, basically being derived by kinship or clan ties where the choices of cultural signs (language, religion, traditions) are made exactly to show this biological affinity. In this way, the myths of common biological ancestry that are a defining feature of ethnic communities are to be understood as representing actual biological history. A problem with this view on ethnicity is that it is more often than not the case that mythic origins of specific ethnic groups directly contradict the known biological history of an ethnic community.[38]

"Geertz's primordialism", notably espoused by anthropologist Clifford Geertz, argues that humans in general attribute an overwhelming power to primordial human "givens" such as blood ties, language, territory, and cultural differences. In Geertz' opinion, ethnicity is not in itself primordial but humans perceive it as such because it is embedded in their experience of the world.[38]

"Perennialism", an approach that is primarily concerned with nationhood but tends to see nations and ethnic communities as basically the same phenomenon holds that the nation, as a type of social and political organization, is of an immemorial or "perennial" character.[39] Smith (1999) distinguishes two variants: "continuous perennialism", which claims that particular nations have existed for very long periods, and "recurrent perennialism", which focuses on the emergence, dissolution and reappearance of nations as a recurring aspect of human history.[40]

"Perpetual perennialism" holds that specific ethnic groups have existed continuously throughout history.

"Situational perennialism" holds that nations and ethnic groups emerge, change and vanish through the course of history. This view holds that the concept of ethnicity is a tool used by political groups to manipulate resources such as wealth, power, territory or status in their particular groups' interests. Accordingly, ethnicity emerges when it is relevant as a means of furthering emergent collective interests and changes according to political changes in society. Examples of a perennialist interpretation of ethnicity are also found in Barth and Seidner who see ethnicity as ever-changing boundaries between groups of people established through ongoing social negotiation and interaction.

"Instrumentalist perennialism", while seeing ethnicity primarily as a versatile tool that identified different ethnics groups and limits through time, explains ethnicity as a mechanism of social stratification, meaning that ethnicity is the basis for a hierarchical arrangement of individuals. According to Donald Noel, a sociologist who developed a theory on the origin of ethnic stratification, ethnic stratification is a "system of stratification wherein some relatively fixed group membership (e.g., race, religion, or nationality) is used as a major criterion for assigning social positions".[41] Ethnic stratification is one of many different types of social stratification, including stratification based on socio-economic status, race, or gender. According to Donald Noel, ethnic stratification will emerge only when specific ethnic groups are brought into contact with one another, and only when those groups are characterized by a high degree of ethnocentrism, competition, and differential power. Ethnocentrism is the tendency to look at the world primarily from the perspective of one's own culture, and to downgrade all other groups outside one's own culture. Some sociologists, such as Lawrence Bobo and Vincent Hutchings, say the origin of ethnic stratification lies in individual dispositions of ethnic prejudice, which relates to the theory of ethnocentrism.[42] Continuing with Noel's theory, some degree of differential power must be present for the emergence of ethnic stratification. In other words, an inequality of power among ethnic groups means "they are of such unequal power that one is able to impose its will upon another".[41] In addition to differential power, a degree of competition structured along ethnic lines is a prerequisite to ethnic stratification as well. The different ethnic groups must be competing for some common goal, such as power or influence, or a material interest, such as wealth or territory. Lawrence Bobo and Vincent Hutchings propose that competition is driven by self-interest and hostility, and results in inevitable stratification and conflict.[42]

"Constructivism" sees both primordialist and perennialist views as basically flawed,[42] and rejects the notion of ethnicity as a basic human condition. It holds that ethnic groups are only products of human social interaction, maintained only in so far as they are maintained as valid social constructs in societies.

"Modernist constructivism" correlates the emergence of ethnicity with the movement towards nation states beginning in the early modern period.[43] Proponents of this theory, such as Eric Hobsbawm, argue that ethnicity and notions of ethnic pride, such as nationalism, are purely modern inventions, appearing only in the modern period of world history. They hold that prior to this ethnic homogeneity was not considered an ideal or necessary factor in the forging of large-scale societies.

Ethnicity is an important means by which people may identify with a larger group. Many social scientists, such as anthropologists Fredrik Barth and Eric Wolf, do not consider ethnic identity to be universal. They regard ethnicity as a product of specific kinds of inter-group interactions, rather than an essential quality inherent to human groups.[21] The process that results in emergence of such identification is called ethnogenesis. Members of an ethnic group, on the whole, claim cultural continuities over time, although historians and cultural anthropologists have documented that many of the values, practices, and norms that imply continuity with the past are of relatively recent invention.[44][45]

Ethnic groups can form a cultural mosaic in a society. That could be in a city like New York City or Trieste, but also the fallen monarchy of the Austro-Hungarian Empire or the United States. Current topics are in particular social and cultural differentiation, multilingualism, competing identity offers, multiple cultural identities and the formation of Salad bowl and melting pot.[46][47][48][49] Ethnic groups differ from other social groups, such as subcultures, interest groups or social classes, because they emerge and change over historical periods (centuries) in a process known as ethnogenesis, a period of several generations of endogamy resulting in common ancestry (which is then sometimes cast in terms of a mythological narrative of a founding figure); ethnic identity is reinforced by reference to "boundary markers" – characteristics said to be unique to the group which set it apart from other groups.[50][51][52][53][54][55]

Ethnicity theory in the United States[edit]

Ethnicity theory argues that race is a social category and is only one of several factors in determining ethnicity. Other criteria include "religion, language, 'customs', nationality, and political identification".[56] This theory was put forward by sociologist Robert E. Park in the 1920s. It is based on the notion of "culture".

This theory was preceded by more than 100 years during which biological essentialism was the dominant paradigm on race. Biological essentialism is the belief that some races, specifically white Europeans in western versions of the paradigm, are biologically superior and other races, specifically non-white races in western debates, are inherently inferior. This view arose as a way to justify enslavement of African Americans and genocide of Native Americans in a society that was officially founded on freedom for all. This was a notion that developed slowly and came to be a preoccupation with scientists, theologians, and the public. Religious institutions asked questions about whether there had been multiple creations of races (polygenesis) and whether God had created lesser races. Many of the foremost scientists of the time took up the idea of racial difference and found that white Europeans were superior.[57]

The ethnicity theory was based on the assimilation model. Park outlined four steps to assimilation: contact, conflict, accommodation, and assimilation. Instead of attributing the marginalized status of people of color in the United States to their inherent biological inferiority, he attributed it to their failure to assimilate into American culture. They could become equal if they abandoned their inferior cultures.

Michael Omi and Howard Winant's theory of racial formation directly confronts both the premises and the practices of ethnicity theory. They argue in Racial Formation in the United States that the ethnicity theory was exclusively based on the immigration patterns of the white population and did take into account the unique experiences of non-whites in the United States.[58] While Park's theory identified different stages in the immigration process – contact, conflict, struggle, and as the last and best response, assimilation – it did so only for white communities.[58] The ethnicity paradigm neglected the ways in which race can complicate a community's interactions with social and political structures, especially upon contact.

Assimilation – shedding the particular qualities of a native culture for the purpose of blending in with a host culture – did not work for some groups as a response to racism and discrimination, though it did for others.[58] Once the legal barriers to achieving equality had been dismantled, the problem of racism became the sole responsibility of already disadvantaged communities.[59] It was assumed that if a Black or Latino community was not "making it" by the standards that had been set by whites, it was because that community did not hold the right values or beliefs, or were stubbornly resisting dominant norms because they did not want to fit in. Omi and Winant's critique of ethnicity theory explains how looking to cultural defect as the source of inequality ignores the "concrete sociopolitical dynamics within which racial phenomena operate in the U.S."[60] It prevents critical examination of the structural components of racism and encourages a "benign neglect" of social inequality.[60]

Ethnicity and nationality[edit]

Further information: Nation state and minority group

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In some cases, especially involving transnational migration or colonial expansion, ethnicity is linked to nationality. Anthropologists and historians, following the modernist understanding of ethnicity as proposed by Ernest Gellner[61] and Benedict Anderson[62] see nations and nationalism as developing with the rise of the modern state system in the 17th century. They culminated in the rise of "nation-states" in which the presumptive boundaries of the nation coincided (or ideally coincided) with state boundaries.

Thus, in the West, the notion of ethnicity, like race and nation, developed in the context of European colonial expansion, when mercantilism and capitalism were promoting global movements of populations at the same time state boundaries were being more clearly and rigidly defined.

In the 19th century, modern states generally sought legitimacy through their claim to represent "nations". Nation-states, however, invariably include populations who have been excluded from national life for one reason or another. Members of excluded groups, consequently, will either demand inclusion based on equality or seek autonomy, sometimes even to the extent of complete political separation in their nation-state.[63] Under these conditions when people moved from one state to another,[64] or one state conquered or colonized peoples beyond its national boundaries – ethnic groups were formed by people who identified with one nation, but lived in another state.

Multi-ethnic states can be the result of two opposite events, either the recent creation of state borders at variance with traditional tribal territories, or the recent immigration of ethnic minorities into a former nation-state.

Examples for the first case are found throughout Africa, where countries created during decolonization inherited arbitrary colonial borders, but also in European countries such as Belgium or United Kingdom. Examples for the second case are countries such as Netherlands, which were relatively ethnically homogeneous when they attained statehood but have received significant immigration in the 17th century and even more so in the second half of the 20th century. States such as the United Kingdom, France and Switzerland comprised distinct ethnic groups from their formation and have likewise experienced substantial immigration, resulting in what has been termed "multicultural" societies, especially in large cities.

The states of the New World were multi-ethnic from the onset, as they were formed as colonies imposed on existing indigenous populations.

In recent decades, feminist scholars (most notably Nira Yuval-Davis)[65] have drawn attention to the fundamental ways in which women participate in the creation and reproduction of ethnic and national categories. Though these categories are usually discussed as belonging to the public, political sphere, they are upheld within the private, family sphere to a great extent.[66] It is here that women act not just as biological reproducers but also as "cultural carriers", transmitting knowledge and enforcing behaviors that belong to a specific collectivity.[67] Women also often play a significant symbolic role in conceptions of nation or ethnicity, for example in the notion that "women and children" constitute the kernel of a nation which must be defended in times of conflict, or in iconic figures such as Britannia or Marianne.

Ethnicity and race[edit]

The racial diversity of Asia's ethnic groups (original caption: Asiatiska folk), Nordisk familjebok (1904)

Ethnicity is used as a matter of cultural identity of a group, often based on shared ancestry, language, and cultural traditions, while race is applied as a taxonomic grouping, based on physical similarities among groups. Race is a more controversial subject than ethnicity, due to common political use of the term.[citation needed] Ramón Grosfoguel (University of California, Berkeley) argues that "racial/ethnic identity" is one concept and concepts of race and ethnicity cannot be used as separate and autonomous categories.[68]

Before Weber (1864–1920), race and ethnicity were primarily seen as two aspects of the same thing. Around 1900 and before, the primordialist understanding of ethnicity predominated: cultural differences between peoples were seen as being the result of inherited traits and tendencies.[69] With Weber's introduction of the idea of ethnicity as a social construct, race and ethnicity became more divided from each other.

In 1950, the UNESCO statement "The Race Question", signed by some of the internationally renowned scholars of the time (including Ashley Montagu, Claude Lévi-Strauss, Gunnar Myrdal, Julian Huxley, etc.), said:

National, religious, geographic, linguistic and cultural groups do not necessarily coincide with racial groups: and the cultural traits of such groups have no demonstrated genetic connection with racial traits. Because serious errors of this kind are habitually committed when the term "race" is used in popular parlance, it would be better when speaking of human races to drop the term "race" altogether and speak of "ethnic groups".[70]

In 1982, anthropologist David Craig Griffith summed up forty years of ethnographic research, arguing that racial and ethnic categories are symbolic markers for different ways people from different parts of the world have been incorporated into a global economy:

The opposing interests that divide the working classes are further reinforced through appeals to "racial" and "ethnic" distinctions. Such appeals serve to allocate different categories of workers to rungs on the scale of labor markets, relegating stigmatized populations to the lower levels and insulating the higher echelons from competition from below. Capitalism did not create all the distinctions of ethnicity and race that function to set off categories of workers from one another. It is, nevertheless, the process of labor mobilization under capitalism that imparts to these distinctions their effective values.[71]

According to Wolf, racial categories were constructed and incorporated during the period of European mercantile expansion, and ethnic groupings during the period of capitalist expansion.[72]

Writing in 1977 about the usage of the term "ethnic" in the ordinary language of Great Britain and the United States, Wallman noted

The term "ethnic" popularly connotes "[race]" in Britain, only less precisely, and with a lighter value load. In North America, by contrast, "[race]" most commonly means color, and "ethnics" are the descendants of relatively recent immigrants from non-English-speaking countries. "[Ethnic]" is not a noun in Britain. In effect there are no "ethnics"; there are only "ethnic relations".[73]

In the U.S., the OMB says the definition of race as used for the purposes of the US Census is not "scientific or anthropological" and takes into account "social and cultural characteristics as well as ancestry", using "appropriate scientific methodologies" that are not "primarily biological or genetic in reference".[74]

Ethno-national conflict[edit]

Further information: Ethnic conflict

Sometimes ethnic groups are subject to prejudicial attitudes and actions by the state or its constituents. In the 20th century, people began to argue that conflicts among ethnic groups or between members of an ethnic group and the state can and should be resolved in one of two ways. Some, like Jürgen Habermas and Bruce Barry, have argued that the legitimacy of modern states must be based on a notion of political rights of autonomous individual subjects. According to this view, the state should not acknowledge ethnic, national or racial identity but rather instead enforce political and legal equality of all individuals. Others, like Charles Taylor and Will Kymlicka, argue that the notion of the autonomous individual is itself a cultural construct. According to this view, states must recognize ethnic identity and develop processes through which the particular needs of ethnic groups can be accommodated within the boundaries of the nation-state.

The 19th century saw the development of the political ideology of ethnic nationalism, when the concept of race was tied to nationalism, first by German theorists including Johann Gottfried von Herder. Instances of societies focusing on ethnic ties, arguably to the exclusion of history or historical context, have resulted in the justification of nationalist goals. Two periods frequently cited as examples of this are the 19th-century consolidation and expansion of the German Empire and the 20th century Nazi Germany. Each promoted the pan-ethnic idea that these governments were acquiring only lands that had always been inhabited by ethnic Germans. The history of late-comers to the nation-state model, such as those arising in the Near East and south-eastern Europe out of the dissolution of the Ottoman and Austro-Hungarian Empires, as well as those arising out of the USSR, is marked by inter-ethnic conflicts. Such conflicts usually occur within multi-ethnic states, as opposed to between them, as in other regions of the world. Thus, the conflicts are often misleadingly labeled and characterized as civil wars when they are inter-ethnic conflicts in a multi-ethnic state.

Ethnic groups by continent[edit]

Africa[edit]

Main article: List of ethnic groups of Africa

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Ethnic groups in Africa number in the hundreds, each generally having its own language (or dialect of a language) and culture.

Asia[edit]

Main articles: Ethnic groups in Asia, East Asian people, South Asian ethnic groups, Ethnic groups of Southeast Asia, and Ethnic groups in the Middle East

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Assyrians are one of the indigenous peoples of Northern Iraq.

Ethnic groups are abundant throughout Asia, with adaptations to the climate zones of Asia, which can be the Arctic, subarctic, temperate, subtropical or tropical. The ethnic groups have adapted to mountains, deserts, grasslands, and forests.

On the coasts of Asia, the ethnic groups have adopted various methods of harvest and transport. Some groups are primarily hunter-gatherers, some practice transhumance (nomadic lifestyle), others have been agrarian/rural for millennia and others becoming industrial/urban. Some groups/countries of Asia are completely urban, such as those in Hong Kong, Shanghai, and Singapore. The colonization of Asia was largely ended in the 20th century, with national drives for independence and self-determination across the continent.

In Indonesia alone, there are more than 1,300 ethnic groups recognized by the government, which are located on 17,000 islands in the Indonesian archipelago

Russia has more than 185 recognized ethnic groups besides the eighty percent ethnic Russian majority. The largest group is the Tatars, 3.8 percent. Many of the smaller groups are found in the Asian part of Russia (see Indigenous peoples of Siberia).

Europe[edit]

Main article: Ethnic groups in Europe

The Basques constitute an indigenous ethnic minority in both France and Spain.

Sámi family in Lapland of Finland, 1936

The Irish are an ethnic group from Ireland of which 70–80 million people worldwide claim ancestry.[75]

Europe has a large number of ethnic groups; Pan and Pfeil (2004) count 87 distinct "peoples of Europe", of which 33 form the majority population in at least one sovereign state, while the remaining 54 constitute ethnic minorities within every state they inhabit (although they may form local regional majorities within a sub-national entity). The total number of national minority populations in Europe is estimated at 105 million people or 14% of 770 million Europeans.[76]

A number of European countries, including France[77] and Switzerland, do not collect information on the ethnicity of their resident population.

An example of a largely nomadic ethnic group in Europe is the Roma, pejoratively known as Gypsies. They originated from India and speak the Romani language.

The Serbian province of Vojvodina is recognizable for its multi-ethnic and multi-cultural identity.[78][79] There are some 26 ethnic groups in the province,[80] and six languages are in official use by the provincial administration.[81]

North America[edit]

Main articles: Ethnic origins of people in Canada, Ethnic groups in Central America, Demographics of Greenland, Demographics of Mexico, Ethnic groups in the United States, Indigenous peoples of the Americas § North America, Native Americans in the United States, Indigenous peoples in Canada, Indigenous peoples of Mexico, and Caribbean people

The indigenous people in North America are Native Americans. During European colonization, Europeans arrived in North America. Most Native Americans died due to Spanish diseases and other European diseases such as smallpox during the European colonization of the Americas. The largest pan-ethnic group in the United States is White Americans. Hispanic and Latino Americans (Mexican Americans in particular) and Asian Americans have immigrated to the United States recently. In Mexico, most Mexicans are mestizo, a mixture of Spanish and Native American ancestry. Some Hispanic and Latino Americans living in the United States are not mestizos.[citation needed]

African slaves were brought to North America from the 16th to 19th centuries during the Atlantic slave trade. Many of them were sent to the Caribbean. Ethnic groups that live in the Caribbean are: indigenous peoples, Africans, Indians, white Europeans, Chinese and Portuguese. The first white Europeans to arrive in the Dominican Republic were the Spanish in 1492. The Caribbean was also colonized and discovered by the Portuguese, English, Dutch and French.[82]

A sizeable number of people in the United States have mixed-race identities. In 2021, the number of Americans who identified as non-Hispanic and more than one race was 13.5 million. The number of Hispanic Americans who identified as multiracial was 20.3 million.[83] Over the course of the 2010s decade, there was a 127% increase in non-Hispanic Americans who identified as multiracial.[83]

The largest ethnic groups in the United States are Germans, African Americans, Mexicans, Irish, English,

Americans, Italians, Poles, French, Scottish, Native Americans, Puerto Ricans, Norwegians, Dutch people, Swedish people, Chinese people, West Indians, Russians and Filipinos.[84]

In Canada, European Canadians are the largest ethnic group. In Canada, the indigenous population is growing faster than the non-indigenous population. Most immigrants in Canada come from Asia.[85]

South America[edit]

Main article: Ethnic groups in South America

The Founding of the Brazilian Fatherland, an 1899 allegorical painting depicting Brazilian statesman José Bonifácio de Andrada e Silva, one of the founding fathers of the country, with the flag of the Empire of Brazil and the three major ethnic groups in Brazil

In South America, although highly varying between regions, people are commonly mixed-race, indigenous, European, black African, and to a lesser extent also Asian.

Oceania[edit]

Main articles: Indigenous peoples of Oceania and Europeans in Oceania

Nearly all states in Oceania have majority indigenous populations, with notable exceptions being Australia, New Zealand and Norfolk Island, who have majority European populations.[86] States with smaller European populations include Guam, Hawaii and New Caledonia (whose Europeans are known as Caldoche).[87][88] Indigenous peoples of Oceania are Australian Aboriginals, Austronesians and Papuans, and they originated from Asia.[89] The Austronesians of Oceania are further broken up into three distinct groups; Melanesians, Micronesians and Polynesians.

Oceanic South Pacific islands nearing Latin America were uninhabited when discovered by Europeans in the 16th century, with nothing to indicate prehistoric human activity by Indigenous peoples of the Americas or Oceania.[90][91][92] Contemporary residents are mainly mestizos and Europeans from the Latin American countries whom administer them,[93] although none of these islands have extensive populations.[94] Easter Island are the only oceanic island politically associated with Latin America to have an indigenous population, the Polynesian Rapa Nui people.[95] Their current inhabitants include indigenous Polynesians and mestizo settlers from political administrators Chile, in addition to mixed-race individuals with Polynesian and mestizo/European ancestry.[95] The British overseas territory of Pitcairn Islands, to the west of Easter Island, have a population of approximately 50 people. They are mixed-race Euronesians who descended from an initial group of British and Tahitian settlers in the 18th century. The islands were previously inhabited by Polynesians; they had long abandoned Pitcairn by the time the settlers had arrived.[96] Norfolk Island, now an external territory of Australia, is also believed to have been inhabited by Polynesians prior to its initial European discovery in the 18th century. Some of their residents are descended from mixed-race Pitcairn Islanders that were relocated onto Norfolk due to overpopulation in 1856.[97]

The once uninhabited Bonin Islands, later politically integrated into Japan, have a small population consisting of Japanese mainlanders and descendants of early European settlers.[95] Archeological findings from the 1990s suggested there was possible prehistoric human activity by Micronesians prior to European discovery in the 16th century.[98]

Several political entities associated with Oceania are still uninhabited, including Baker Island, Clipperton Island, Howland Island and Jarvis Island.[99] There were brief attempts to settle Clipperton with Mexicans and Jarvis with Native Hawaiians in the early 20th century. The Jarvis settlers were relocated from the island due to Japanese advancements during World War II, while most of the settlers on Clipperton ended up dying from starvation and murdering one and other.[100]

Australia[edit]

Main articles: Indigenous Australians and Native white Australians

The first evident ethnic group to live in Australia were the Australian Aboriginals, a group considered related to the Melanesian Torres Strait Islander people. Europeans, primarily from England arrived first in 1770.

The 2016 Census shows England and New Zealand are the next most common countries of birth after Australia, the proportion of people born in China and India has increased since 2011 (from 6.0 per cent to 8.3 per cent, and 5.6 per cent to 7.4 per cent, respectively).

The proportion of people identifying as being of Aboriginal or Torres Strait Islander origin increased from 2.5 per cent of the Australian population in 2011 to 2.8 per cent in 2016.

See also[edit]

Society portal

Ancestor

Clan

Diaspora

Ethnic cleansing

Ethnic interest group

Ethnic flag

Ethnic nationalism

Ethnic penalty

Ethnocentrism

Ethnocultural empathy

Ethnogenesis

Ethnocide

Ethnographic group

Ethnography

Genealogy

Genetic genealogy

Homeland

Human Genome Diversity Project

Identity politics

Ingroups and outgroups

Intersectionality

Kinship

List of contemporary ethnic groups

List of countries by ethnic groups

List of indigenous peoples

Meta-ethnicity

Minority group

Minzu (anthropology)

Multiculturalism

Nation

National symbol

Passing (sociology)

Polyethnicity

Population genetics

Race (human categorization)

Race and ethnicity in censuses

Race and ethnicity in the United States Census

Race and health

Segmentary lineage

Stateless nation

Tribe

Y-chromosome haplogroups in populations of the world

References[edit]

^ Chandra, Kanchan (2012). Constructivist theories of ethnic politics. Oxford University Press. pp. 69–70. ISBN 978-0199893157. OCLC 829678440. Archived from the original on 2022-07-30. Retrieved 2020-09-11.

^ People, James; Bailey, Garrick (2010). Humanity: An Introduction to Cultural Anthropology (9th ed.). Wadsworth Cengage learning. p. 389. In essence, an ethnic group is a named social category of people based on perceptions of shared social experience or one's ancestors' experiences. Members of the ethnic group see themselves as sharing cultural traditions and history that distinguish them from other groups. Ethnic group identity has a strong psychological or emotional component that divides the people of the world into opposing categories of 'us' and 'them'. In contrast to social stratification, which divides and unifies people along a series of horizontal axes based on socioeconomic factors, ethnic identities divide and unify people along a series of vertical axes. Thus, ethnic groups, at least theoretically, cut across socioeconomic class differences, drawing members from all strata of the population.

^ "Insight into Ethnic Differences". National Institutes of Health (NIH). 2015-05-25. Archived from the original on 2021-08-02. Retrieved 2021-08-02.

^ Banda, Yambazi; Kvale, Mark N.; Hoffmann, Thomas J.; Hesselson, Stephanie E.; Ranatunga, Dilrini; Tang, Hua; Sabatti, Chiara; Croen, Lisa A.; Dispensa, Brad P.; Henderson, Mary; Iribarren, Carlos (2015-08-01). "Characterizing Race/Ethnicity and Genetic Ancestry for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort". Genetics. 200 (4): 1285–1295. doi:10.1534/genetics.115.178616. ISSN 0016-6731. PMC 4574246. PMID 26092716. Archived from the original on 2021-08-02. Retrieved 2021-08-02.

^ Salter, Frank; Harpending, Henry (2013-07-01). "J.P. Rushton's theory of ethnic nepotism". Personality and Individual Differences. 55 (3): 256–260. doi:10.1016/j.paid.2012.11.014. ISSN 0191-8869. Archived from the original on 2021-08-02. Retrieved 2021-08-02.

^ Bayar, Murat (2009-10-14). "Reconsidering primordialism: an alternative approach to the study of ethnicity". Ethnic and Racial Studies. 32 (9): 1639–1657. doi:10.1080/01419870902763878. S2CID 143391013. Archived from the original on 2022-03-03. Retrieved 2021-01-05.

^ Chandra Ford; Nina T Harawa (29 April 2010). "A new conceptualization of ethnicity for social epidemiologic and health equity research". Soc Sci Med. 71 (2): 251–258. doi:10.1016/j.socscimed.2010.04.008. PMC 2908006. PMID 20488602.

^ ἐθνικός Archived 2021-02-25 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus

^ ThiE. Tonkin, M. McDonald and M. Chapman, History and Ethnicity (London 1989), pp. 11–17 (quoted in J. Hutchinson & A.D. Smith (eds.), Oxford readers: Ethnicity (Oxford 1996), pp. 18–24)

^ ἔθνος Archived 2021-02-24 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus

^ Oxford English Dictionary Second edition, online version as of 2008-01-12, "ethnic, a. and n.". Cites Sir Daniel Wilson, The archæology and prehistoric annals of Scotland 1851 (1863) and Huxley & Haddon (1935), We Europeans, pp. 136,181

^ Cohen, Ronald. (1978) "Ethnicity: Problem and Focus in Anthropology", Annu. Rev. Anthropol. 1978. 7:379–403; Glazer, Nathan and Daniel P. Moynihan (1975) Ethnicity – Theory and Experience, Cambridge, Massachusetts Harvard University Press.

The modern usage definition of the Oxford English Dictionary is:

a[djective]

...

2.a. About race; peculiar to a specific tribe, race or nation; ethnological. Also, about or having common tribal, racial, cultural, religious, or linguistic characteristics, esp. designating a racial or other group within a larger system; hence (U.S. colloq.), foreign, exotic.

b ethnic minority (group), a group of people differentiated from the majority of the community by racial origin or cultural background, and usu. claiming or enjoying official recognition of their group identity. Also attrib.

n[oun]

...

3 A member of an ethnic group or minority. Equatorians

(Oxford English Dictionary Second edition, online version as of 2008-01-12, s.v. "ethnic, a. and n.")

^ roughly 300 million worldwide (CIA Factbook 2014 estimates, numbers subject to rapid population growth).

^ ὅμαιμος Archived 2021-02-25 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus

^ ὁμόγλωσσος Archived 2021-02-25 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus

^ I. Polinskaya, "Shared sanctuaries and the gods of others: On the meaning Of 'common' in Herodotus 8.144", in R. Rosen & I. Sluiter (eds.), Valuing others in Classical Antiquity (Leiden: Brill, 2010), 43–70.

^ ὁμότροπος Archived 2021-02-25 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus)

^ Herodotus, 8.144.2: "The kinship of all Greeks in blood and speech, and the shrines of gods and the sacrifices that we have in common, and the likeness of our way of life."

^ Athena S. Leoussi, Steven Grosby, Nationalism and Ethnosymbolism: History, Culture, and Ethnicity in the Formation of Nations, Edinburgh University Press, 2006, p. 115

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^ Geertz, Clifford, ed. (1967) Old Societies and New States: The Quest for Modernity in Africa and Asia. New York: The Free Press.

^ Cohen, Abner (1969) Custom and Politics in Urban Africa: A Study of Hausa Migrants in a Yoruba Town. London: Routledge & Kegan Paul.

^ Abner Cohen (1974) Two-Dimensional Man: An essay on power and symbolism in complex society. London: Routledge & Kegan Paul.

^ J. Hutchinson & A.D. Smith (eds.), Oxford readers: Ethnicity (Oxford 1996), "Introduction", 8–9

^ Gellner, Ernest (1983) Nations and Nationalism. Oxford: Blackwell.

^ Ernest Gellner (1997) Nationalism. London: Weidenfeld & Nicolson.

^ Smith, Anthony D. (1986) The Ethnic Origins of Nations. Oxford: Blackwell.

^ Anthony Smith (1991) National Identity. Harmondsworth: Penguin.

^ T.H. Eriksen "Ethnic identity, national identity and intergroup conflict: The significance of personal experiences" in Ashmore, Jussim, Wilder (eds.): Social identity, intergroup conflict, and conflict reduction, pp. 42–70. Oxford: Oxford University Press. 2001

^ Banton, Michael. (2007) "Weber on Ethnic Communities: A critique", Nations and Nationalism 13 (1), 2007, 19–35.

^ a b c d e Ronald Cohen 1978 "Ethnicity: Problem and Focus in Anthropology", Annual Review of Anthropology 7: 383–384 Palo Alto: Stanford University Press

^ James, Paul (2015). "Despite the Terrors of Typologies: The Importance of Understanding Categories of Difference and Identity". Interventions: International Journal of Postcolonial Studies. 17 (2): 174–195. doi:10.1080/1369801X.2014.993332. S2CID 142378403. Archived from the original on 2021-08-17. Retrieved 2016-03-12.

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^ Birnir, Jóhanna Kristín (2006). Ethnicity and Electoral Politics. Cambridge University Press. p. 66. ISBN 978-1139462600. Archived from the original on 2022-04-22. Retrieved 2022-03-21.

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^ a b c (Smith 1999, p. 13)

^ Smith (1998), 159.

^ Smith (1999), 5.

^ a b Noel, Donald L. (1968). "A Theory of the Origin of Ethnic Stratification". Social Problems. 16 (2): 157–172. doi:10.2307/800001. JSTOR 800001.

^ a b c Bobo, Lawrence; Hutchings, Vincent L. (1996). "Perceptions of Racial Group Competition: Extending Blumer's Theory of Group Position to a Multiracial Social Context". American Sociological Review. American Sociological Association. 61 (6): 951–972. doi:10.2307/2096302. JSTOR 2096302.

^ (Smith 1999, pp. 4–7)

^ Hobsbawm and Ranger (1983), The Invention of Tradition

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^ Kolb, Eva (2009). The Evolution of New York City's Multiculturalism: Melting Pot or Salad Bowl. BoD – Books on Demand. ISBN 978-3837093032.

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^ Pieter M. Judson The Habsburg Empire. A New History (Harvard 2016)

^ Patricia Engelhorn "Wie Wien mit Meersicht: Ein Tag in der Hafenstadt Triest" In: NZZ 15.2.2020; Roberto Scarciglia Trieste multiculturale: comunità e linguaggi di integrazione (2011); Ibanez B. Penas, Ma. Carmen López Sáenz. "Interculturalism: Between Identity and Diversity". (Bern) 2006. p 15.

^ Camoroff, John L. and Jean Camoroff 2009: Ethnicity Inc. Chicago: Chicago Press.

^ The Invention of Tradition

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^ Seidner, (1982), Ethnicity, Language, and Power from a Psycholinguistic Perspective, pp. 2–3

^ Smith 1987 pp. 21–22

^ Omi & Winant 1986, p. 15

^ Omi & Winant 1986, p. 58

^ a b c Omi & Winant 1986, p. 17

^ Omi & Winant 1986, p. 19

^ a b Omi & Winant 1986, p. 21

^ Gellner 2006 Nations and Nationalism Blackwell Publishing

^ Anderson 2006 Imagined Communities Version

^ Walter Pohl, "Conceptions of Ethnicity in Early Medieval Studies", Debating the Middle Ages: Issues and Readings, ed. Lester K. Little and Barbara H. Rosenwein, (Blackwell), 1998, pp 13–24, notes that historians have projected the 19th-century conceptions of the nation-state backward in time, employing biological metaphors of birth and growth: "that the peoples in the Migration Period had little to do with those heroic (or sometimes brutish) clichés is now generally accepted among historians", he remarked. Early medieval peoples were far less homogeneous than often thought, and Pohl follows Reinhard Wenskus, Stammesbildung und Verfassung. (Cologne and Graz) 1961, whose researches into the "ethnogenesis" of the German peoples convinced him that the idea of common origin, as expressed by Isidore of Seville Gens est multitudo ab uno principio orta ("a people is a multitude stemming from one origin") which continues in the original Etymologiae IX.2.i) "sive ab Alia national Secundum program collection distinct ("or distinguished from another people by its properties") was a myth. Archived 2015-04-23 at the Wayback Machine.

^ Aihway Ong 1996 "Cultural Citizenship in the Making" in Current Anthropology 37(5)

^ Nira Yuval-Davis, Gender & Nation (London: SAGE Publications Ltd, 1997)

^ Nira Yuval-Davis, Gender & Nation (London: SAGE Publications Ltd, 1997) pp. 12–13

^ Floya Anthias and Nira Yuval-Davis "Woman–Nation-State" (London: Macmillan, 1989), p. 9

^ Grosfoguel, Ramán (September 2004). "Race and Ethnicity or Racialized Ethnicities? Identities within Global Coloniality". Ethnicities. 315–336. 4 (3): 315. doi:10.1177/1468796804045237. S2CID 145445798. Archived from the original on 2013-02-06. Retrieved 2012-08-06.

^ Banton, Michael. (2007) "Weber on Ethnic Communities: A critique", Nations and Nationalism 13 (1), 2007, 19–35.

^ A. Metraux (1950) "United Nations Economic and Security Council Statement by Experts on Problems of Race", American Anthropologist 53(1): 142–145)

^ Griffith, David Craig, Jones's minimal: low-wage labor in the United States, State University of New York Press, Albany, 1993, p.222

^ Eric Wolf, 1982, Europe and the People Without History, Berkeley: University of California Press. 380–381

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^ "A Brief History of the OMB Directive 15". American Anthropological Association. 1997. Archived from the original on 2012-04-19. Retrieved 2007-05-18.

^ "The Scottish Diaspora and Diaspora Strategy: Insights and Lessons from Ireland". www2.gov.scot. 29 May 2009. Archived from the original on 30 July 2022. Retrieved 23 November 2018.

^ Christoph Pan, Beate Sibylle Pfeil, Minderheitenrechte in Europa. Handbuch der europäischen Volksgruppen (2002)., English translation 2004.

^ (in French) article 8 de la loi Informatique et libertés Archived 2019-03-20 at the Wayback Machine, 1978: "Il est interdit de collecter ou de traiter des données à caractère personnel qui font apparaître, directement ou indirectement, les origines raciales ou ethniques, les opinions politiques, philosophiques ou religieuses ou l'appartenance syndicale des personnes, ou qui sont relatives à la santé ou à la vie sexuelle de celles-ci."

^ Lux, Gábor; Horváth, Gyula (2017). The Routledge Handbook to Regional Development in Central and Eastern Europe. Taylor & Francis. p. 190.

^ Filep, Béla (2016). The Politics of Good Neighbourhood: State, civil society and the enhancement of cultural capital in East Central Europe. Taylor & Francis. p. 71.

^ "Serbian Government – Official Presentation". serbia.gov.rs. Archived from the original on 8 August 2018. Retrieved 26 March 2018.

^ "Beogradski centar za ljudska prava – Belgrade Centre for Human Rights". bgcentar.org.rs. 29 March 2015. Archived from the original on 7 August 2018. Retrieved 26 March 2018.

^ "Our People". Archived from the original on 2021-03-29. Retrieved 2022-05-22.

^ a b Tavernise, Sabrina (13 August 2021). "Behind the Surprising Jump in Multiracial Americans, Several Theories". The New York Times. Archived from the original on 26 March 2022. Retrieved 26 March 2022.

^ "Largest Ethnic Groups And Nationalities In The United States". 18 July 2019. Archived from the original on 2022-05-09. Retrieved 2022-05-22.

^ "21.9% of Canadians are immigrants, the highest share in 85 years: StatsCan". Archived from the original on 2022-05-30. Retrieved 2022-05-22.

^ Aldrich, Robert (1993). France and the South Pacific Since 1940. University of Hawaii Press. p. 347. ISBN 978-0824815585. Archived from the original on 30 July 2022. Retrieved 18 February 2022. Britain's high commissioner in New Zealand continues to administer Pitcairn, and the other former British colonies remain members of the Commonwealth of Nations, recognizing the British Queen as their titular head of state and vesting certain residual powers in the British government or the Queen's representative in the islands. Australia did not cede control of the Torres Strait Islands, inhabited by a Melanesian population, or Lord Howe and Norfolk Island, whose residents are of European ancestry. New Zealand retains indirect rule over Niue and Tokelau and has kept close relations with another former possession, the Cook Islands, through a compact of free association. Chile rules Easter Island (Rapa Nui) and Ecuador rules the Galapagos Islands. The Aboriginals of Australia, the Maoris of New Zealand and the native Polynesians of Hawaii, despite movements demanding more cultural recognition, greater economic and political considerations or even outright sovereignty, have remained minorities in countries where massive waves of migration have completely changed society. In short, Oceania has remained one of the least completely decolonized regions on the globe.

^ "ISEE – Salaires". Isee.nc. Archived from the original (PDF) on 25 December 2018. Retrieved 20 August 2017.

^ Census shows Hawaii is becoming whiter Archived 2008-08-29 at the Wayback Machine, starbulletin.com

^ "Australian Aboriginal peoples | History, Facts, & Culture | Britannica". Archived from the original on 2022-03-26. Retrieved 2022-03-26.

^ Terrell, John E. (1988). Prehistory in the Pacific Islands. Cambridge University Press. p. 91. ISBN 978-0521369565. Archived from the original on 30 July 2022. Retrieved 5 March 2022.

^ Crocombe, R. G. (2007). Asia in the Pacific Islands: Replacing the West. University of the South Pacific. Institute of Pacific Studies. p. 13. ISBN 978-9820203884. Archived from the original on 9 February 2022. Retrieved 24 January 2022.

^ Flett, Iona; Haberle, Simon (2008). "East of Easter: Traces of human impact in the far-eastern Pacific" (PDF). In Clark, Geoffrey; Leach, Foss; O'Connor, Sue (eds.). Islands of Inquiry. ANU Press. pp. 281–300. CiteSeerX 10.1.1.593.8988. hdl:1885/38139. ISBN 978-1921313899. JSTOR j.ctt24h8gp.20. Archived (PDF) from the original on 2021-12-31. Retrieved 2022-03-26.

^ Mountford, H. S.; Villanueva, P.; Fernández, M. A.; Jara, L.; De Barbieri, Z.; Carvajal-Carmona, L. G.; Cazier, J. B.; Newbury, D. F. (2020). "Frontiers | The Genetic Population Structure of Robinson Crusoe Island, Chile | Genetics". Frontiers in Genetics. Frontiersin.org. 11: 669. doi:10.3389/fgene.2020.00669. PMC 7333314. PMID 32676101.

^ Sebeok, Thomas Albert (1971). Current Trends in Linguistics: Linguistics in Oceania. the University of Michigan. p. 950. Archived from the original on 30 July 2022. Retrieved 2 February 2022. Most of this account of the influence of the Hispanic languages in Oceania has dealt with the Western Pacific, but the Eastern Pacific has not been without some share of the presence of the Portuguese and Spanish. The Eastern Pacific does not have the multitude of islands so characteristic of the Western regions of this great ocean, but there are some: Easter Island, 2000 miles off the Chilean coast, where a Polynesian tongue, Rapanui, is still spoken; the Juan Fernandez group, 400 miles west of Valparaiso; the Galapagos archipelago, 650 miles west of Ecuador; Malpelo and Cocos, 300 miles off the Colombian and Costa Rican coasts respectively; and others. Not many of these islands have extensive populations – some have been used effectively as prisons – but the official language on each is Spanish.

^ a b c Todd, Ian (1974). Island Realm: A Pacific Panorama. Angus & Robertson. p. 190. ISBN 978-0207127618. Archived from the original on 18 June 2022. Retrieved 2 February 2022. [we] can further define the word culture to mean language. Thus we have the French language part of Oceania, the Spanish part and the Japanese part. The Japanese culture groups of Oceania are the Bonin Islands, the Marcus Islands and the Volcano Islands. These three clusters, lying south and south-east of Japan, are inhabited either by Japanese or by people who have now completely fused with the Japanese race. Therefore they will not be taken into account in the proposed comparison of the policies of non-Oceanic cultures towards Oceanic peoples. On the eastern side of the Pacific are a number of Spanish language culture groups of islands. Two of them, the Galapagos and Easter Island, have been dealt with as separate chapters in this volume. Only one of the dozen or so Spanish culture island groups of Oceania has an Oceanic population – the Polynesians of Easter Island. The rest are either uninhabited or have a Spanish – Latin – American population consisting of people who migrated from the mainland. Therefore, the comparisons which follow refer almost exclusively to the English and French language cultures.

^ "History of Pitcairn Island | Pitcairn Island Immigration". Archived from the original on 2022-04-22. Retrieved 2022-03-26.

^ "Norfolk Island | History, Population, Map, & Facts | Britannica". Archived from the original on 2020-11-17. Retrieved 2022-03-26.

^ "小笠原諸島の歴史" (in Japanese). Archived from the original on 2019-09-09. Retrieved 2022-03-26.

^ "Education Resources: Regional Information, Jarvis Island | PacIOOS". Pacific Islands Ocean Observing System (PacIOOS). Archived from the original on 2022-05-10. Retrieved 2022-03-26.

^ US Department of Commerce, National Oceanic and Atmospheric Administration. "Discovering the Deep: Exploring Remote Pacific MPAs: Background: The Hui Panalāʻau Story of the Equatorial Pacific Islands of Howland, Baker, and Jarvis: 1935–1942: NOAA Office of Ocean Exploration and Research". oceanexplorer.noaa.gov. Archived from the original on 2022-06-01. Retrieved 2022-03-26.

Further reading[edit]

Barth, Fredrik (ed). Ethnic groups and boundaries. The social organization of culture difference, Oslo: Universitetsforlaget, 1969

Billinger, Michael S. (2007), "Another Look at Ethnicity as a Biological Concept: Moving Anthropology Beyond the Race Concept" Archived 2009-07-09 at the Wayback Machine, Critique of Anthropology 27, 1:5–35.

Craig, Gary, et al., eds. Understanding 'race' and ethnicity: theory, history, policy, practice (Policy Press, 2012)

Danver, Steven L. Native Peoples of the World: An Encyclopedia of Groups, Cultures and Contemporary Issues (2012)

Eriksen, Thomas Hylland (1993) Ethnicity and Nationalism: Anthropological Perspectives, London: Pluto Press

Eysenck, H.J., Race, Education and Intelligence (London: Temple Smith, 1971) (ISBN 0851170099)

Healey, Joseph F., and Eileen O'Brien. Race, ethnicity, gender, and class: The sociology of group conflict and change (Sage Publications, 2014)

Hobsbawm, Eric, and Terence Ranger, editors, The Invention of Tradition. (Cambridge: Cambridge University Press, 1983).

Kappeler, Andreas. The Russian empire: A multi-ethnic history (Routledge, 2014)

Levinson, David, Ethnic Groups Worldwide: A Ready Reference Handbook, Greenwood Publishing Group (1998), ISBN 978-1573560191.

Magocsi, Paul Robert, ed. Encyclopedia of Canada's Peoples (1999)

Morales-Díaz, Enrique; Gabriel Aquino; & Michael Sletcher, "Ethnicity", in Michael Sletcher, ed., New England, (Westport, CT, 2004).

Omi, Michael; Winant, Howard (1986). Racial Formation in the United States from the 1960s to the 1980s. New York: Routledge and Kegan Paul, Inc.

Seeger, A. 1987. Why Suyá Sing: A Musical Anthropology of an Amazonian People, Cambridge, Cambridge University Press.

Sider, Gerald, Lumbee Indian Histories (Cambridge University Press, 1993).

Smith, Anthony D. (1987), The Ethnic Origins of Nations, Blackwell

Smith, Anthony D. (1998). Nationalism and modernism. A Critical Survey of Recent Theories of Nations and Nationalism. Routledge.

Smith, Anthony D. (1999), Myths and memories of the Nation, Oxford University Press

Steele, Liza G.; Bostic, Amie; Lynch, Scott M.; Abdelaaty, Lamis (2022). "Measuring Ethnic Diversity". Annual Review of Sociology. 48 (1).

Thernstrom, Stephan A. ed. Harvard Encyclopedia of American Ethnic Groups (1981)

^ U.S. Census Bureau State & County QuickFacts: Race.

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Human ancestry correlates with language and reveals that race is not an objective genomic classifier | Scientific Reports

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Human ancestry correlates with language and reveals that race is not an objective genomic classifier

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Published: 08 May 2017

Human ancestry correlates with language and reveals that race is not an objective genomic classifier

Jennifer L. Baker1, Charles N. Rotimi 

ORCID: orcid.org/0000-0001-5759-053X1 & Daniel Shriner1 

Scientific Reports

volume 7, Article number: 1572 (2017)

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Biological anthropologyGenetic variation

AbstractGenetic and archaeological studies have established a sub-Saharan African origin for anatomically modern humans with subsequent migrations out of Africa. Using the largest multi-locus data set known to date, we investigated genetic differentiation of early modern humans, human admixture and migration events, and relationships among ancestries and language groups. We compiled publicly available genome-wide genotype data on 5,966 individuals from 282 global samples, representing 30 primary language families. The best evidence supports 21 ancestries that delineate genetic structure of present-day human populations. Independent of self-identified ethno-linguistic labels, the vast majority (97.3%) of individuals have mixed ancestry, with evidence of multiple ancestries in 96.8% of samples and on all continents. The data indicate that continents, ethno-linguistic groups, races, ethnicities, and individuals all show substantial ancestral heterogeneity. We estimated correlation coefficients ranging from 0.522 to 0.962 between ancestries and language families or branches. Ancestry data support the grouping of Kwadi-Khoe, Kx’a, and Tuu languages, support the exclusion of Omotic languages from the Afroasiatic language family, and do not support the proposed Dené-Yeniseian language family as a genetically valid grouping. Ancestry data yield insight into a deeper past than linguistic data can, while linguistic data provide clarity to ancestry data.

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IntroductionIt is now possible to trace the migratory paths of anatomically modern humans using genetic data. Early research pointed to a sub-Saharan African origin for modern humans by around 200,000–150,000 years ago1, and analyses of autosomal markers2 and Y DNA haplogroups3, 4 suggest the earliest structuring of the human population occurred approximately 140,000 years ago5,6,7,8. Initial efforts to characterize the movement of early humans in relation to ancestry grouped populations according to five geographical regions: Sub-Saharan Africa, Europe/the Middle East/Central Asia/South Asia, East Asia, Oceania, and the Americas9. Subsequent analyses allowed for refinement of the genetic history of global ancestries, revealing regional structure through the identification of 710, 1411, and 19 ancestries2.Due to shared history, genetic and linguistic processes are expected to show congruent patterns of differentiation12. Two major ways to disrupt this congruence are gene flow and language replacement12. Prior research was limited by the numbers of loci and samples and did not account for admixture13, 14. By focusing on underlying ancestries rather than samples, confounding due to recent admixture is removed. We hypothesize that focusing on language families or branches, rather than languages, will mitigate problems arising from areal features and will provide a similar deeper level of resolution.Here, we present the results of the largest-to-date global analysis of ancestry from 282 samples10, 15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36, providing greater resolution of worldwide ancestry and increasing the estimate of ancestries from 19 to 212. Using a graph-based model of gene flow to estimate migration events from ancestry-specific allele frequencies37, we find evidence for migration events in the distant past. These abundant genomic data provide an exciting opportunity to test linguistic hypotheses involving multiple language families. Conversely, the linguistic data help resolve inconsistencies observed in the genomic data. Consistent with prior findings2, 11, ancestral heterogeneity is observed in the vast majority of individuals and samples and on all continents, as well as in racial and ethnic groups.ResultsAdmixture analysisWe merged genotype data from 282 samples from 23 regional and global diversity projects, yielding a total of 5,966 individuals and 19,075 SNPs (Table S1). To address the possible effect of SNP ascertainment bias on F

ST

estimation, we compared pairwise estimates for the 26 samples from the 1000 Genomes Project31 based on our panel of genotyped SNPs vs. the whole genome sequences. The median difference was 0.0030 (95% confidence interval [−0.0002, 0.0177]), indicating that F

ST

estimation was not significantly biased by SNP ascertainment or the size of our panel of SNPs.Unsupervised clustering yielded support for 21 subcontinental ancestries (Fig. 1 and Fig. S1). The posterior mode of K was also 21, with a 100% highest posterior density interval [18, 23]. Of the 21 ancestries, 18 were previously observed2. The only previously observed ancestry not present in this set of 21 was ancestry predominantly found in Cushitic-speaking peoples from East Africa, which we subsequently refer to in shorthand as Cushitic ancestry. Given that Cushitic ancestry has been detected before2, 11, its absence in the current data set indicates a need of additional sampling for proper classification. Our analysis identified three new ancestries: (1) Western African, (2) Circumpolar, and (3) Southern Asian. Our data support the hypothesis that subcontinental geography is a strong proxy for ancestry (Fig. S2). Consequently, we labeled the 21 ancestries on the basis of present-day geographic distributions. The samples that are the best proxies for these ancestries are provided in Table S2 and the mixing proportions of all ancestries for all samples are provided in Table S3. Pairwise F

ST

estimates between ancestries are provided in Table S4.Figure 1Ancestry analysis of the global data set. The 282 samples are labeled alternating in the left and right margins. The 21 ancestral components are Kalash (black), Southern Asian (dark goldenrod), South Indian (slate blue), Central African (magenta), Southern African (dark orchid), West-Central African (brown), Western African (tomato), Eastern African (orange), Omotic (yellow), Northern African (purple), Northern European (blue), Southern European (dark olive green), Western Asian (white), Arabian (light gray), Oceanian (salmon), Japanese (red), Southeastern Asian (coral), Northern Asian (aquamarine), Sino-Tibetan (green), Circumpolar (pink), and Amerindian (gray).Full size image

To investigate the stability of the ancestries, we tested the null hypothesis that no genetic differentiation exists between the previous and current definitions for each ancestry. First, we used Mantel’s test to assess the correlation between the F

ST

matrix generated with ancestries as defined in this study compared to the one generated with ancestries as previously defined2. The matrices were matched by eliminating the three new ancestries from the current matrix and the Cushitic entry from the previous matrix, resulting in a comparison of two 18 × 18 matrices. The estimated correlation coefficient r = 0.992 was significantly different from ρ = 0 (1.28 × 10−34 ≤ p ≤ 2.56 × 10−5) but not significantly different from ρ = 1 (0.122 ≤ p ≤ 0.596), providing evidence for the overall stability of the clusters. Second, we tested whether F

ST

was 0 for each of the 18 pairwise comparisons. For 14 ancestries, the previous and current definitions were not significantly different (Table S5). For Southeastern Asian, Sino-Tibetan, Western Asian, and South Indian ancestries, the differences were statistically significant, with changes in F

ST

ranging from 0.010 to 0.021 (Table S5). Thus, seemingly small changes in the overall cross-validation score do not preclude significant changes in the allele frequency profiles of a subset of ancestries.We next investigated the extent of ancestral heterogeneity throughout the hierarchy of population structure. First, we found that individuals with mixed ancestry were present on all continents (Fig. S2). Second, mixed ancestry was present in 96.8% of samples (Table S3), with a median of 6 ancestries per sample (95% confidence interval [1, 12]). To illustrate, the GBR (British in England and Scotland) sample had a mixture of 38.1% Northern European and 42.8% Southern European ancestries, with small but significant contributions from seven additional ancestries (Table S3). In the ACB sample (African Caribbeans in Barbados), “African” encompassed six ancestries and “European” encompassed four ancestries (Table S3). Similarly, the ASW sample (People with African ancestry in Southwest USA) included all 10 of these ancestries plus one additional ancestry to account for a Native American component (Table S3). The PUR sample (Puerto Ricans in Puerto Rico) had 13 ancestries. Third, consistent with earlier reports2, 11, mixed ancestry was present in 97.3% of individuals, with a median of 4 ancestries per individual (95% confidence interval [1, 7]).Migration eventsWe used TreeMix37 to infer the patterns of population splits and mixtures in the evolutionary history of the 21 ancestries. By analyzing ancestries instead of samples, the underlying model infers the structure of an ancestral population by linking modern ancestries to a common ancestor using ancestry-specific allele frequencies with the effects of recent admixture removed. This analysis revealed three migration events (Fig. 2). One migration event was between Eastern African and Northern African ancestries. This event is supported by the fact that E1b1b1b1a (formerly known as E-M81), the most common Y DNA haplogroup in North Africa, is a descendent of E1b1b, commonly found in Eastern Africa38. Another migration event was between Omotic ancestry and the node leading to Arabian, Northern African, Southern European, and Western Asian ancestries. We did not detect either of these two events previously39. When we added the previously defined Cushitic ancestry to the current set, we did not observe either event, suggesting that both events reflected the absence of Cushitic ancestry. The third migration event, which we did observe previously, was between Northern European and Amerindian ancestries. The identification of Circumpolar ancestry resulted in the migration edge moving from the terminal tip of Amerindian ancestry to the common ancestor of Amerindian and Circumpolar ancestries.Figure 2(A) The migration graph. TreeMix analysis suggests that migration events occurred between (1) Eastern African and Northern African ancestries; (2) Omotic ancestry and the node leading to Arabian, Northern African, Southern European, and Western Asian ancestries; and (3) Northern European ancestry and the node leading to Amerindian and Circumpolar ancestries. (B) Majority-rule consensus tree. The migration events were suppressed to emphasize the underlying topology.Full size image

Three previously observed migration events39 were not evident in the current analysis. One, we did not observe an event between Arabian and Cushitic ancestries, because Cushitic ancestry was not present in the current data set. When we integrated the previously defined Cushitic ancestry into the current set, TreeMix grouped Cushitic ancestry with Eastern African and Omotic ancestries and inferred a migration event between Arabian and Cushitic ancestries, consistent with our previous results. Furthermore, Arabian, Eastern African, and Omotic ancestries were not significantly different in the presence or absence of Cushitic ancestry (Table S5). Taken together, these results support the hypothesis that Cushitic ancestry was formed by a mixture event. Two, we previously observed an inferred migration event between Indian and Arabian ancestries. Indian ancestry experienced the largest amount of redefinition with the additional data, whereas Arabian ancestry did not differ (Table S5). When we replaced the previous definition of Indian ancestry with the current one, no migration event was inferred. This result suggests that the original inference of a migration event reflected an underdefined Indian ancestry. Three, we previously observed an event involving Kalash and Northern European ancestries. Kalash ancestry was not significantly different between the two data sets (Table S3). When we added the newly defined Southern Asian ancestry, we observed the Kalash-Northern European event when Kalash ancestry was not grouped in the subtree with Southern Asian ancestry (36% of runs) but not when Kalash ancestry was grouped in the subtree with Southern Asian ancestry (64% of runs).LanguageWe were able to annotate 249 samples with language (Table S1). Our data set covers an estimated 21.3% of the 141 primary language families but 97.8% of people40. By focusing on ancestries rather than samples, confounding due to recent admixture is removed. We therefore evaluated correlations among ancestries and languages (Table S6).Southern African ancestry correlates with Kwadi-Khoe, Kx’a, and Tuu languages (r = 0.960, p = 4.78 × 10−138, Fig. 3A). Central African ancestry corresponds to Pygmies, both Eastern and Western (Table S3). Pygmies are thought to have lost their original language and now speak Niger-Congo or Nilo-Saharan languages, presumably adopted from neighboring tribes41. Consequently, Central African ancestry does not meaningfully correlate with extant language families.Figure 3Correlation of ancestry and language. (A) “Combined” refers to Kwadi-Khoe, Tuu, and Kx’a, previously referred to collectively as Khoisan. (B) “+” indicates the combination of the listed language plus all languages listed to the left. Tupian, Arawakan, Quechumaran, Mayan, and Uto-Aztecan are referred to collectively as Amerind. (C) “Combined” refers to Chukotko-Kamchatkan and Eskimo-Aleut, referred to collectively as Paleo-Siberian. Note that inclusion of Yeniseian worsens the correlation. (D) “Combined” refers to Mongolic, Turkic, and Tungusic, referred to collectively as Altaic.Full size image

Eastern African ancestry correlates with the Nilo-Saharan language family (r = 0.715, p = 2.39 × 10−40). Arabian ancestry correlates with the Semitic branch of the Afroasiatic language family (r = 0.774, p = 7.28 × 10−51). The Cushitic branch of the Afroasiatic language family correlates with both Eastern African (r = 0.417, p = 7.17 × 10−12) and Arabian (r = 0.336, p = 5.46 × 10−8) ancestries. This result is consistent with our previous finding that Cushitic ancestry formed by admixture between Nilo-Saharan and Arabian ancestries39. West-Central African ancestry correlates with both Bantu and non-Bantu languages in the Niger-Congo language family (r = 0.895, p = 2.00 × 10−88), whereas Western African ancestry correlates with Mande languages (r = 0.797, p = 5.64 × 10−56). West-Central and Western African ancestries are sibling ancestries (Fig. 2), but this result does not indicate whether Mande languages should be considered as part of the Niger-Congo language family.Northern African ancestry correlates with the Berber branch of the Afroasiatic language family (r = 0.946, p = 1.48 × 10−122). Arabian and Northern African ancestries are both descended from the lineage that includes all Out of Africa migrants, whereas Omotic ancestry is descended from the lineage that includes all sub-Saharan ancestries (Fig. 2). Omotic ancestry correlates with the Omotic languages (r = 0.777, p = 1.40 × 10−51). Thus, the genomic data support the linguistic hypothesis that the Omotic languages are not part of the Afroasiatic family42.Amerindian ancestry correlates with Tupian, Arawakan, Quechumaran, Mayan, and Uto-Aztecan languages (r = 0.962, p = 6.17 × 10−142, Fig. 3B), consistent with the hypothesized grouping of all these languages in the Amerind family43. Circumpolar ancestry correlates with both the Eskimo-Aleut and Chukotko-Kamchatkan language families (r = 0.799, p = 1.41 × 10−56, Fig. 3C), which collectively are known as Paleo-Siberian languages. The Athabask sample showed 64% Amerindian, 34% Circumpolar and 2% Northern Asian ancestry; accordingly, the Na-Dené language correlates with both Amerindian and Circumpolar ancestries but not with Northern Asian ancestry. Northern Asian ancestry correlates with Mongolic, Turkic, and Tungusic languages (r = 0.617, p = 1.53 × 10−27), which have been grouped into the Altaic language family. Additionally, Northern Asian ancestry correlates with the Samoyedic branch of the Uralic family, Yukaghir languages, the Mari language isolate, and Yeniseian languages (r = 0.781, p = 2.53 × 10−52, Fig. 3D).Southern European ancestry correlates with both Italic and Basque speakers (r = 0.764, p = 6.34 × 10−49). Northern European ancestry correlates with Germanic and Balto-Slavic branches of the Indo-European language family as well as Finno-Ugric and Mordvinic languages of the Uralic family (r = 0.672, p = 4.67 × 10−34). Italic, Germanic, and Balto-Slavic are all branches of the Indo-European language family, while the correlation with languages of the Uralic family is consistent with an ancient migration event from Northern Asia into Northern Europe39. Kalash ancestry is widely spread but is the majority ancestry only in the Kalash people (Table S3). The Kalasha language is classified within the Indo-Iranian branch of the Indo-European language family.South Indian ancestry correlates with the Dravidian language family, the Munda branch of the Austroasiatic language family, and Nihali, which has been alternatively classified as part of the Munda branch or as an isolate (r = 0.740, p = 2.03 × 10−44). Southern Asian ancestry correlates with the Indo-Iranian branch of the Indo-European language family as well as the Dravidian language family (r = 0.678, p = 7.96 × 10−35). Sino-Tibetan ancestry correlates with the Sino-Tibetan language family as well as with Monguor and Mongolic (r = 0.793, p = 3.83 × 10−55). Southeastern Asian ancestry correlates with the Mon-Khmer branch (specifically, Khmer and Vietic but not Khasi languages) of the Austroasiatic language family, the Tai-Kadai language family, and the Hmong-Mien language family (r = 0.686, p = 5.36 × 10−36). Japanese ancestry correlates with the Japonic language family (r = 0.644, p = 1.55 × 10−30). Oceanian ancestry correlates with the Austronesian and Papuan language families (r = 0.954, p = 3.36 × 10−131). Western Asian ancestry correlates with Northeast Caucasian, Northwest Caucasian, and Kartvelian language families as well as the Armenian branch of the Indo-European language family (r = 0.522, p = 831 × 10−19).DiscussionWe have compiled and analyzed the largest available global data set of genotyped samples annotated with language. We found that additional sampling revealed three previously unknown ancestries. Due to sparse or nonexistent sampling in some parts of the world, there may be ancestries that remain unidentified. The finding that the vast majority of people have mixed ancestry2, 11 has been confirmed and extended. Importantly, mixed ancestry at the sample level does not reflect population stratification, i.e., two or more subsets of individuals ancestrally homogeneous within subsets and ancestrally heterogeneous between subsets, but rather reflects mixed ancestry at the individual level.The labels ancestry, continent, ethno-linguistic group, ethnicity, and race have different ontological bases. Ancestry is determined solely by genomic data and is not subjectively self-identified. Being defined by DNA, ancestries are subject to evolutionary change, i.e., ancestries are subject to birth-death cycles and ancestry-specific allele frequencies can change over time. Ancestries are related through a phylogeny which describes ancestral and descendent relationships. As such, it is appropriate to ask how many ancestries existed at a specified period of time and what the ancestry-specific allele frequencies were at that time. Over the timespan of anatomically modern humans, most ancestries emerged after the Out-of-Africa migrations and no ancestries are near fixation. Almost no samples are ancestrally homogeneous; taken together, these findings indicate that ancestries should not be thought of as types. However, during peopling of the world, ancestries remained distinct long enough to acquire correlation with language.Whereas the label ancestry is genomically defined, the label continent is geographically defined and the label ethno-linguistic group is socio-culturally defined. According to the United States Census, race and ethnicity are different constructs. Biological race is phenotypically defined, being based on a small set of physical characteristics44. However, in the 2010 US Census, there were 15 race categories, including several national-origin groups that are generally not considered to be races45. The category ethnicity was limited to either “Hispanic, Latino, or Spanish” or not, with the option of distinguishing nationality, i.e., Mexico, Puerto Rico, Cuba, or other45. Our data show that continent, ethno-linguistic group, race, and ethnicity all harbor substantial ancestral heterogeneity.The group label race has a controversial history filled with alternative definitions and debates whether race is biologically real or a social construct46,47,48. Two lines of genetic evidence have been used to support the social construct position. One, apportionment of genetic variance into hierarchical groups relies on arbitrary thresholds and leads to incoherent classification49, 50. Two, the description of human genomic variation as clustered has led some to equate ancestry with continent and hence with race and has been countered with the argument that variation is clinal50. Our findings indicate that ancestry cross-classifies ethno-linguistic group as well as continent and race. To expound this point, Western Asian ancestry currently exists at its highest frequency in peoples from the Caucasus Mountains and the Levant and is the major ancestry in Abkhazian, Georgian, and Druze samples. Yet, significant amounts of Western Asian ancestry are present in samples with origins ranging from Morocco to Mongolia and from England to Ethiopia. That is, Western Asian ancestry simultaneously exists in Africa, Asia, and Europe, as well as in the US racial categories Black or African American, Asian, and White. Thus, in contrast to race, ancestry is a valid genomic classifier.To illustrate the distinctions among these group labels, we provide two examples from genetic epidemiology. First, controlling for population structure in genome-wide association studies is necessary to prevent spurious association. One motivation for the use of principal components analysis to control for population structure was the spurious association of a SNP in the lactase gene LCT with height in European Americans due to an axis of variation that reflected differential ancestry from north to south Europe51. The racial label White fails to capture this difference in proportions of Northern vs. Southern European ancestry. Second, admixture mapping is a technique for mapping loci conferring differential risk by ancestry52. As applied to admixed African Americans, admixture mapping relies on genetic differentiation between ancestries from Africa and Europe. Uniformly classifying admixed African Americans with the racial label Black fails to capture inter-continental admixture and precludes use of the technique. Similarly, the SEBantu sample comprises individuals from the Sotho-Tswana and Zulu ethno-linguistic groups and reflects intra-continental admixture between Bantu-speaking peoples and indigenous Khoisan-speaking peoples. Uniformly classifying this sample with the continental label African or the racial label Black fails to capture the essential ancestral differences.Migrations inferred by TreeMix reflect excess covariance and appear to reflect two types of situations. Most ancestries were formed by a splitting process; however, ancestry characteristic of Cushitic-speaking peoples was formed by a mixture process involving Eastern African and Arabian ancestries39. Consistent with admixture, Cushitic ancestry can be either grouped with Eastern African ancestry and connected by migration to Arabian ancestry or grouped with Arabian ancestry and connected by migration to Eastern African ancestry39. Some inferred migration events reflect missing ancestries and/or underdefined ancestries, indicating the importance of dense sampling. Taken together, the results of the migration analyses are largely consistent with the serial founder model10, coupled with a low level of admixture.Historical linguistics is considered to have an upper limit of ~10,000 years53. The ability of genomics to probe into the more distant past, combined with the correlation of ancestry and language, provides an opportunity to investigate historical linguistics on a deeper time scale. It remains unclear whether population structure provided a substrate for subsequent linguistic differentiation or whether language was a barrier to gene flow. In either case, we find moderate to strong correlations between ancestries and languages at the family or branch levels, providing evidence for and against several phylolinguistic hypotheses. One, Kwadi-Khoe, Kx’a, and Tuu languages previously were classified as the Central, Northern, and Southern branches, respectively, of the Khoisan family. Although this family classification is presently considered obsolete by many linguists54, our results provide genomic support for the validity of grouping these languages into one primary language family. Two, the common ancestor of West-Central African and Western African ancestries is a sibling to Eastern African ancestry (Fig. 2), consistent with the phylolinguistic hypothesis that the Niger-Congo and Nilo-Saharan language families are descended from a common ancestor called Kongo-Saharan55. Three, the correlation of Northern European ancestry with branches of Indo-European and Uralic language families suggests that additional Northern European samples may split Northern European ancestry into two ancestries, one corresponding to Indo-European speakers and the other corresponding to Finno-Ugric speakers of the Uralic family, distinct from Samoyedic speakers from the Uralic family. Four, Arabian and Northern African ancestries belong to the Out-of-Africa lineage, whereas Omotic ancestry clusters with sub-Saharan ancestries (Fig. 2). In turn, our results imply that Semitic and Berber languages, but not Omotic languages, correlate with the Out-of-Africa lineage. Furthermore, the Arabian parentage of Cushitic ancestry supports a Middle Eastern origin with a backflow to Eastern African, raising the possibility that Cushitic languages similarly have a Middle Eastern rather than an Eastern African origin, at least in part. Despite the notable absence of genomic data corresponding to Egyptian and Chadic languages, these results do not support the inclusion of Omotic languages in the Afroasiatic language family and are consistent with the hypothesis that that the Afroasiatic language family has a Middle Eastern origin. Additionally, we hypothesize that the migration events between Eastern African and Northern African ancestries as well as between Omotic ancestry and the node leading to Arabian, Northern African, Southern European, and Western Asian ancestries reflect excess covariance due to the absence of a distinct Cushitic ancestry. Five, our results provide resolution to “Ancestral South Indians” and “Ancestral North Indians”56. In particular, the prevalence of Y DNA haplogroup H in South India compared to the prevalence of Y DNA haplogroup D among Andaman Islanders, along with the fact that haplogroup H is descended from haplogroup CF rather than DE, suggests that the Nihali or Pulliyar are better proxies for “Ancestral South Indians” (Table S3) than the Onge56. “Ancestral North Indian” ancestry primarily corresponds to Southern Asian ancestry. Also, South Indian ancestry correlates best with the Dravidian language family whereas Southern Asian ancestry correlates more with the Indo-Iranian language family, consistent with a distribution throughout Persia and Pakistan57. Six, the Dené-Yeniseian language family, which has been proposed to show a genealogical link between Old World and New World language families58, is not supported by the genomic data, because the Yeniseian language correlates with Northern Asian ancestry whereas the Na-Dené language correlates with Amerindian and Circumpolar ancestries. Seven, our results are consistent with phylolinguistic hypotheses that group Altaic, Yukaghir, and Uralic (Samoyedic) languages59, 60, as all three correlate with Northern Asian ancestry. Since Northern Asian and Circumpolar ancestries share a common ancestor, our results also support, albeit more distantly, phylolinguistic hypotheses that group Uralic and Yukaghir languages with Eskimo-Aleut and Chukotko-Kamchatkan languages61, 62. Eight, the correlation of Western Asian ancestry with Northeast Caucasian, Northwest Caucasian, and Kartvelian languages is consistent with the phylolinguistic hypothesis that these three groups of languages are related in a larger grouping called Ibero-Caucasian63.Our study has some limitations. Merging genetic data from different sources and platforms can be problematic; this concern is partially mitigated by the fact the markers common to all platforms tend to perform well. Also, the 1000 Genomes Project offers limited coverage of all populations and ancestries from a global perspective; hence, our comparison based on F

ST

to address marker ascertainment bias should be viewed as encouraging but not as a final answer. Despite the large numbers of samples and individuals, our dataset is underpowered for recent events. For example, we did not detect separate ancestries corresponding to West-Central Africans, Eastern Bantu speakers, and Southern Bantu speakers resulting from the Bantu expansion64. Also, the absence of ancestral genotypes limits our ability to draw inferences, particularly regarding dating. A linguistic complication involves the presence of bi- or multi-lingual populations.In summary, we found that genetic differentiation of human ancestries largely occurred subsequent to the Out-of-Africa migrations. The vast majority of present-day humans have mixed ancestry. Having estimated phylogenetic relationships among ancestries allowing for ancient gene flow, instances of mixed ancestries in which the ancestries do not share an immediate common ancestor support admixture rather than sharing of incompletely differentiated ancestries. Furthermore, the group labels continent, sample, race, and ethnicity are all imperfect descriptors of ancestry, such that ancestry is the preferred genomic classifier. We also find moderate to strong correlations between ancestries and languages at the family or branch levels, such that ancestry data support or refute several proposed linguistic relationships and linguistic data point to possible resolutions of heterogeneity in the ancestry data. Thus, ancestry data yield insight into a deeper past than linguistic data can, while linguistic data provide clarity to ancestry data.Materials and MethodsData collection and quality controlIn our study, statistical populations are defined as ethno-linguistic groups. Statistical samples represent subsets of individuals from the ethno-linguistic groups. The global data set comprised 5,966 unrelated individuals, including 849 individuals from the Human Genome Diversity Project10, 268 individuals from the Singapore Genome Variation Project25, 105 individuals from west and central Africa17, 242 Native Americans and individuals from the Arctic and north Asia22,23,24, 453 individuals from a study of the Jewish Diaspora16, 16 Arabs from Qatar20, 95 Maasai from the International HapMap Project15, 176 individuals from India18, 21, 316 individuals from south Africa19, 28, 29, 200 individuals from The Caucasus30, 145 individuals from north Africa and the Basque Country26, 201 individuals from east Africa27, 75 individuals from Lebanon35, 51 individuals from Spain32, 258 individuals from northeast Eurasia34, 36, 24 individuals from the Afghan Hindu Kush33, and 2,492 individuals from the 1000 Genomes Project31. We accomplished all data management and quality control using PLINK version 1.965. We generated graphics with R66. Maps were drawn using the R libraries maps and plotrix.We excluded 1) all individuals or markers with genotyping call rates <95%, and 2) individuals identified as identical samples, 1st degree relatives, or 2nd degree relatives. Our resulting data set consisted of 19,075 diallelic, autosomal SNPs with experimentally determined genotypes; we did not impute missing genotypes. The genotyping call rate was 99.8%. The average distance between markers was 137.5 kb. Data are available at http://crggh.nih.gov/resources.cfm.SNP Ascertainment BiasTo investigate possible SNP ascertainment bias, we used the –weir-fst-pop function in VCFtools, version 0.1.1467. We compared pairwise F

ST

estimates based on our panel of SNPs to pairwise estimates based on whole genome sequences31.Admixture analysisWe performed unsupervised clustering in triplicate using ADMIXTURE68, setting the number of ancestral components (K) from 1 to 40 with five-fold cross-validation. We estimated the posterior mean of K as the value with the minimum cross-validation error averaged over the triplicates. To confirm the posterior mean, we then estimated the posterior mode. To estimate the posterior mode, we additionally performed unsupervised clustering 30 times with K ranging from 1 to 30 with five-fold cross-validation. For each ancestral component, the sample with the highest percentage of that ancestral component was designated the exemplar (Table S2). To determine standard errors for the proportions of ancestral components for each individual, we repeated the ADMIXTURE analysis with the addition of 200 bootstrap replicates conditioned on K = 21. Accounting for both within and between individual variances, we calculated the proportions for average ancestry using inverse variance weights. We then calculated 95% confidence intervals for each ancestry and individual, zeroed out any average proportions for which the 95% confidence intervals included 0, and renormalized the remaining averages to sum to 1 (Table S3). We use these renormalized data to determine the number of ancestries present in an individual. If more than one ancestry was present in an individual, then we counted that individual as having mixed ancestry. Pairwise F

ST

estimates between ancestral components as reported by ADMIXTURE are given in Table S4. Bounds for the significance of the correlation coefficient between F

ST

matrices were established via a χ

2 test with one degree of freedom, given a sample size of either N = 18 or \(\frac{N(N-1)}{2}=153\). We did not decompose F

ST

estimates into divergence time estimates because we had insufficient data to estimate ancestry-specific effective population sizes. The ancestry-specific allele frequencies for all markers are available at http://crggh.nih.gov/resources.cfm.When interpreting ADMIXTURE results, it is important to recognize that mixed ancestry in an individual can result from at least three different sources. (1) Admixture is defined as interbreeding between previously isolated populations52, in which previously isolated implies ancestrally different. (2) Shared ancestry refers to the coinheritance of more than one ancestry from the same parental source. Shared ancestry results from incomplete differentiation and is analogous to incomplete lineage sorting. (3) A non-genetic mechanism for generating mixed ancestry is assimilation.Power analysisIf the number of markers exceeds the number of individuals, then there exists a threshold of F

ST

above which population structure is always detectable and that is strongly constrained by the number of individuals and weakly affected by the number of markers69, 70. We obtained estimates of the effective sample size per ancestry from ADMIXTURE’s Q matrix. Using the two smallest effective sample sizes and the number of markers, our studied is well powered to detect F

ST

 ≥ 0.0017. Assuming an effective population size of N

e

 = 20,000, this F

ST

value corresponds to a divergence time t = 68 generations using the relationship \(t=\frac{\mathrm{ln}(1-{F}_{ST})}{\mathrm{ln}(1-\frac{1}{2{N}_{e}})}\)

71. Assuming a generation time of 25 to 30 years72, 73, this divergence time corresponds to 1,700 to 2,000 years. Smaller values of N

e

lead to smaller divergence times, meaning more recently in the past. Thus, our study is well powered for events from the origin of anatomically modern humans through the Neolithic Revolution.Migration analysisWe converted the output from ADMIXTURE for use with the TreeMix software37. First, for each ancestry, we summed the ancestry proportions across all individuals and multiplied by 2 to estimate the total allele counts. Then, for each marker, we multiplied the ancestry-specific total allele count by the ancestry-specific allele frequency. Finally, we rounded allele counts to the nearest integer. We ran TreeMix with the number of migration events set from 0 to 6, rooted with Southern African ancestry. For each number of migration events, we ran 100 random input orders. TreeMix evaluates a composite likelihood, rather than a maximum likelihood; consequently, we cannot test results using likelihood ratios. Our stopping rule was the largest number of migration events before we started to obtain positive log-likelihoods. The majority-rule consensus tree was based on 100 bootstrap replicates.Language analysisWe annotated each sample with language as reported in the source publications and supplemented with the Ethnologue40. Based on the language annotation (Table S1), we defined a binary indicator variable equaling 1 if the sample was annotated by the family or branch being tested, or 0 otherwise. For each specific ancestry-language hypothesis, we estimated the point-biserial correlation coefficient, which is mathematically equivalent to the Pearson product-moment correlation coefficient, between the proportion of that ancestry (i.e., the appropriate column of Table S3) and the binary indicator variable for language, across all samples. We then tested the correlation coefficients for significance using a t-test. All p-values reported in Table S6 are uncorrected for multiple comparisons.EthicsThis project was determined to be excluded from IRB Review by the National Institutes of Health Office of Human Subjects Research Protections, Protocol #12183.

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Download referencesAcknowledgementsThe contents of this publication are solely the responsibility of the authors and do not necessarily represent the official view of the National Institutes of Health. This research was supported by the Intramural Research Program of the Center for Research on Genomics and Global Health (CRGGH). The CRGGH is supported by the National Human Genome Research Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Center for Information Technology, and the Office of the Director at the National Institutes of Health (1ZIAHG200362).Author informationAuthors and AffiliationsCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland, 20892, USAJennifer L. Baker, Charles N. Rotimi & Daniel ShrinerAuthorsJennifer L. BakerView author publicationsYou can also search for this author in

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PubMed Google ScholarContributionsD.S. designed the study. J.L.B. and D.S. performed the analyses. J.L.B. and D.S. wrote the manuscript. J.L.B., D.S., and C.N.R. interpreted the results and edited the manuscript.Corresponding authorsCorrespondence to

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Reprints and permissionsAbout this articleCite this articleBaker, J.L., Rotimi, C.N. & Shriner, D. Human ancestry correlates with language and reveals that race is not an objective genomic classifier.

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AbstractMany if not most countries around the world categorize their inhabitants by race, ethnicity and/or national origins when it comes time to conduct a census. In an unpublished survey of census questionnaires, the United Nations found that 65 % enumerated their populations by national or ethnic group (United Nations Statistics Division 2003). However, this statistic encompasses a wide diversity of approaches to ethnic classification, as evinced by the spectrum of terms employed; ‘race,’ ‘ethnic origin,’ ‘nationality,’ ‘ancestry’ and ‘indigenous,’ ‘tribal’ or ‘aboriginal’ group all serve to draw distinctions within the national population. The picture is further complicated by the ambiguity of the meanings of these terms: what is called ‘race’ in one country might be labelled ‘ethnicity’ in another, while ‘nationality’ means ancestry in some contexts and citizenship in others. Even within the same country, one term can take on several connotations, or several terms may be used interchangeably.KeywordsNational CensusIndigenous GroupIndigenous StatusEthnic NationalityUnited Nation Statistical DivisionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.Abridged from the article published in Population Research and Policy Review, 27(2), p. 239–272, 2008.

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1 IntroductionMany if not most countries around the world categorize their inhabitants by race, ethnicity and/or national origins when it comes time to conduct a census. In an unpublished survey of census questionnaires, the United Nations found that 65 % enumerated their populations by national or ethnic group (United Nations Statistics Division 2003). However, this statistic encompasses a wide diversity of approaches to ethnic classification, as evinced by the spectrum of terms employed; ‘race,’ ‘ethnic origin,’ ‘nationality,’ ‘ancestry’ and ‘indigenous,’ ‘tribal’ or ‘aboriginal’ group all serve to draw distinctions within the national population. The picture is further complicated by the ambiguity of the meanings of these terms: what is called ‘race’ in one country might be labelled ‘ethnicity’ in another, while ‘nationality’ means ancestry in some contexts and citizenship in others. Even within the same country, one term can take on several connotations, or several terms may be used interchangeably.This article surveys the approaches to ethnic enumeration that 141 nations took on their 1995–2004 (or ‘2000 round’) censuses. Using a unique data set compiled by the United Nations Statistical Division, this research identifies several dimensions along which classification practices vary. Specifically, I address three research questions:

1.

How widespread is census enumeration by ethnicity, in global terms?

2.

Among national censuses that do enumerate by ethnicity, what approaches do they take, in terms of both their question and answer formats?

3.

What geographic patterns, if any, do ethnic enumeration practices follow?

2 Classification by EthnicityThis chapter uses a broad definition of ‘ethnic enumeration’ that includes census references to a heterogeneous collection of terms (e.g., ‘ethnic group,’ ‘race,’ ‘people,’ ‘tribe’), which indicate a contemporary yet somewhat inchoate sense of origin-based ‘groupness.’ Despite the fluidity between the conceptual borders of ethnicity, race and nationality, at their cores they share a common connotation of ancestry or ‘community of descent’ (Hollinger 1998). Each concept relies on a different type of proof or manifestation of those shared roots – ethnicity discerns it in cultural practices or beliefs (e.g., dress, language, religion), race in perceived physical traits, and nationality through geographic location – yet they all aim to convey an accounting of origins or ancestry. As a result, in the research to be described I have included all three of these terms – and others – as indicators of one underlying concept of origins. For this umbrella concept I use the label ‘ethnicity’ rather than ‘ancestry,’ however, to emphasize the immediacy that such categories can have when individuals identify themselves. As Alba (1990: 38) points out, ancestry involves beliefs about one’s forebears, while ethnicity is a matter of ‘beliefs directly about oneself.’ He illustrates the difference as being one between the statements, ‘My great-grandparents came from Poland’ (ancestry) versus ‘I am Polish’ (ethnicity).Identifying a core meaning shared by varied ethnicity-related terms makes possible a global comparative study of ethnic categorization. Previous academic comparisons of census ethnic enumeration have usually included only a few national cases, as part of an intensive examination of the social, historical and political factors behind diverse classificatory regimes (e.g., Kertzer and Arel 2002a; Nobles 2000). And the broader surveys available are generally either regional (e.g., Almey et al. 1992), not based on systematic samples (e.g., Rallu et al. 2004; Statistics Canada and U.S. Census Bureau 1993), or focused on informal conventions rather than official categorization schemes (e.g., Wagley 1965). As a result, no comprehensive international analysis of formal ethnic enumeration approaches precedes this study. One of the fundamental contributions made here is thus an empirical one, in the form of a profile of ethnic enumeration worldwide and typology of such practices.Providing information about a large sample of contemporary national censuses is also a major step forward for theory-building about the origins of different classificatory systems. Collecting data on the dependent variable of classification type suggests important features to measure and eventually to explain. Rallu et al. (2004) exemplify the possibilities of such an analysis by proposing four types of governmental approach to ethnic enumeration:

1.

Enumeration for political control (compter pour dominer)

2.

Non-enumeration in the name of national integration (ne pas compter au nom de l’intégration nationale)

3.

Discourse of national hybridity (compter ou ne pas compter au nom de la mixité)

4.

Enumeration for antidiscrimination (compter pour justifier l’action positive)

Rallu et al. (2004) identify colonial census administration with the first category, as well as related examples such as apartheid-era South Africa, the Soviet Union and Rwanda. In these cases, ethnic categories form the basis for exclusionary policies. In the second category, where ethnic categories are rejected in order to promote national unity, western European nations such as France, Germany and Spain are prominent. The third category is largely associated with Latin American countries, where governments take different decisions about whether to enumerate by ethnicity, but a broader discourse praising interethnic mixture or hybridity is not uncommon. The final category is illustrated with examples from Latin America (e.g., Brazil, Colombia) and Asia (China), but the principal cases discussed here are those of England, Canada and the United States, where ethnic census data serve as tools in combating discrimination. Despite the number of regions that Rallu et al. (2004) take into account, however, their conclusions are drawn from a limited set of countries rather than the complete international pool. As a result, the four-part schema they identify might be altered if a wider sample of national censuses were considered.Another element that is missing from the existing literature on ethnic enumeration is comparative content analysis of the language of census ethnicity items. The studies previously described generally focus on the question of which political motives result in the presence or absence of an ethnic question on a national census. They do not delve into the details of the precise format of the question. But such nuances offer particular applied interest for demographers and other census officials. Maintaining that such technical information is of use for the architects of population censuses, this chapter investigates what terminology is used in different countries (e.g., ‘race’ or ‘nationality’?), how the request for information is framed, and what options are given to respondents in formulating their answer. In this way, the project may suggest alternative approaches to implement when census forms are being redesigned and offer a basis for weighing the relative strengths and weaknesses of diverse formats.3 Data and MethodologyAs publisher of the annual Demographic Yearbook, the United Nations Statistical Division (UNSD) regularly collects international census information, including both questionnaire forms and data results. For the 2000 round (i.e., censuses conducted from 1995 through 2004), UNSD drew up a list of 231 nations and territories from which to solicit census materials. As of June 2005, this researcher located 141 national questionnaires in the UNSD collection and elsewhere (i.e., from 61 % of the countries listed) and calculated that 30 nations (13 %) had not scheduled a census in that round. Therefore questionnaires were missing from 60 countries (26 % of the original list, or 30 % of the 201 countries expected to have conducted a census within the 2000 round).The gaps in the resultant database’s coverage of international census-taking were not spread randomly across the globe, as Table 2.1 shows. The nations of Europe were best-represented in the collection, as all of the 2000 census round questionnaires available have been located. Next came Asia (including the Middle East), for which 80 % of the available questionnaires have been obtained, followed by South America and Oceania (79 % each), North America (at 51 %, including Central America and the Caribbean), and Africa (42 %). One effect of this uneven coverage is that African countries, which would make up 22 % of the sample and the second-largest regional bloc after Asia if all its 1995–2004 censuses were included, contribute only 13 % to the final sample of national census questionnaires studied. More generally, the variation in coverage suggests that while the results to be described can be considered a good representation of enumeration in Europe, Asia, South America and Oceania, this is not the case for discussion of North (and Central) America or of Africa. Moreover, the country-level data below do not indicate what percentage of the world’s population is covered by the census regimes studied here; findings are not weighted by national population in this inquiry.Table 2.1 Countries included in studyFull size table

Each census form available was checked for questions about respondents’ ‘race,’ ‘ethnicity,’ ‘ancestry,’ ‘nationality’ or ‘national origins,’ ‘indigenous’ or ‘aboriginal’ status – in short, any terminology that indicated group membership based on descent. Although language, religion and legal citizenship questions also appear frequently on national censuses and may be interpreted as reflections of ethnic affiliation, I do not include such indirect references to ancestry. (Consider for example how poor an indicator of ethnicity ‘Native English Speaker’ status would be in a multicultural society like the United States.) When an ethnicity item as defined above appeared on a census, both the question text and response categories or format were entered verbatim into a database. Translations into English were provided by national census authorities, United Nations staff, the author and others for all but three questionnaires, resulting in a final sample of 138 censuses.4 Findings4.1 Frequency of Ethnic EnumerationAmong the 138 national census questionnaires analyzed, 87 countries or 63 % employed some form of ethnic census classification (see Appendix for complete listing). As Table 2.2 shows, North America, South America and Oceania were the regions with the greatest propensity to include ethnicity on their censuses. While Asia’s tendency to enumerate by ethnicity was close to the sample average, both Europe and Africa were much less likely to do so. This regional variation may be explained by Rallu et al’s. (2004) hypothesis that concern about the preservation of national unity leads some countries to forgo ethnic enumeration. The tendency toward ethnic counting in the Americas also suggests, however, that societies whose populations are largely descended from relatively recent settlers (voluntary or involuntary) are most likely to characterize their inhabitants in ethnic terms. As Bean and Tienda (1987: 34–35) wrote of the United States, ‘an ethnic group is created by the entry of an immigrant group into…society.’Table 2.2 Share of countries studied using ethnic enumeration, by regionFull size table

4.2 Census Ethnicity Questions4.2.1 Terminology and Geographic DistributionNot only do nations and regions vary in their censuses’ inclusion of ethnicity items, but they also employ widely differing terminology for such questions. In 49 of the 87 cases of ethnic enumeration (56 %), the terms ethnicity or ethnic (or their foreign-language cognates like ‘ethnicité’ and ‘étnico’) were used. This terminology was found on censuses from every world region. Often the term was combined with others for clarification, as in: ‘Caste/Ethnicity’ (Nepal); ‘cultural and ethnic background’ (Channel Islands/Jersey); ‘grupo étnico (pueblo)’ (Guatemala); ‘Ethnic/Dialect Group’ (Singapore); ‘Ethnic nationality’ (Latvia); and ‘race or ethnic group’ (Jamaica). Overall, nine different terms or concepts appeared in census ethnicity questions; Table 2.3 lists them in descending order of frequency. The table also distinguishes between ‘primary’ terms (i.e., first to appear if more than one term is used in one or more questions) and ‘secondary,’ or following, terms. For example, in the Nepal example above, caste was recorded as the primary term and ethnicity as a secondary term.Table 2.3 Terminology of census ethnicity questionsFull size table

As Table 2.3 shows, the second most frequent term after ethnicity was nationality, used by 20 nations (or 23 %). Here nationality denoted origins rather than current legal citizenship status. This distinction was made clear in most cases either by the presence on the census questionnaire of a separate question for citizenship (e.g., Romania, Tajikistan) or by the use of the adjective ‘ethnic’ to create the term ‘ethnic nationality’ (Estonia). However, I also include in this category census items that combined ethnicity and nationality by using a single question to identify either citizens’ ethnicity or non-citizens’ nationality. For example, the Senegalese question ran, ‘Ethnie ou nationalité: Inscrivez l’ethnie pour les Sénégalais et la nationalité pour les étrangers’ [Ethnicity or nationality: Write down ethnicity for Senegalese and nationality for foreigners].References to nationality as ethnic origin came largely from Eastern European nations (e.g., Poland, Romania) and Asian countries of the former Soviet Union such as Tajikistan, Turkmenistan and Uzbekistan (see Table 2.4). This regional concentration reflects a number of historical factors. First, twentieth century (and earlier) movements of both political borders and people in Eastern Europe left groups with allegiances to past or neighbouring governments situated in new or different states (Eberhardt 2003). Second, this reinforced existing Romantic notions of nations as corresponding to ethnic communities of descent (Kertzer and Arel 2002b). Finally, the Soviet Union’s practice of identifying distinct nationalities within its borders extended the equation of nationality with ethnic membership (Blum and Gousseff 1996).Table 2.4 Census ethnicity terminology by regionFull size table

Roughly 15 % of the national censuses asked about respondents’ indigenous status. These cases came from North America (e.g., Mexico: ‘¿[Name] pertenece a algún grupo indígena?’; [Does [name] belong to an indigenous group?], South America (e.g., Venezuela: ‘¿Pertenece usted a algún grupo indígena?’; [Do you belong to an indigenous group?], Oceania (e.g., Nauru: ‘family’s local tribe’), and Africa (Kenya: ‘Write tribe code for Kenyan Africans’). Indigeneity seems to serve as a marker largely in nations that experienced European colonialism, where it distinguishes populations that ostensibly do not have European ancestry (separating them from mestizos, for example, in Mexico) or who inhabited the territory prior to European settlement. The indigenous status formulation was not found on any European or Asian censuses.The same number of countries (13, or 15 % of all censuses using some form of ethnic enumeration) asked for respondents’ race, but this term was three times more likely to appear as a secondary term than as a primary one. For example, the Brazilian question placed race after colour (‘A sua cor o raça e:’), and Anguilla used race to modify ethnicity: ‘To what ethnic/racial group does [the person] belong?’. Race usage was largely confined to North America (including Central America and the Caribbean), as well as to United States territories in Oceania (American Samoa, Federated States of Micronesia, Guam, Northern Mariana Islands). More specifically, census usage of race is found almost entirely in the former slaveholding societies of the Western Hemisphere and their territories. Of the 13 countries studied that enumerate by race, 11 are either New World former slave societies (United States, Anguilla, Bermuda, Brazil, Jamaica and Saint Lucia) and/or their territories (United States Virgin Islands, Puerto Rico, American Samoa, Guam, and Northern Mariana Islands).Table 2.4 summarizes the geographic patterns in usage of the four most frequent ethnic terms found on national census questionnaires. Reference to ethnicity is most prevalent in Oceania and least prevalent in South America, whereas nationality is found on more than half of the European censuses but on none in the Americas. Conversely, references to indigenous status or ‘tribe’ reach their peak in South America, but are absent on European and Asian censuses. Similarly, race is not found on European or Asian censuses, but appears on almost half of those used in North America (which includes Central America and the Caribbean). Still, in all regions ethnicity remains the most frequent term used, with the exception of South America, where references to indigenous status appear twice as often as those to ethnicity. Together, the four most frequent terms – ethnicity, nationality, indigenous group and race – appear on 90 % of the censuses that enumerate by ethnicity.4.2.2 The Language of Census Ethnicity Questions: The Subjectivity of IdentityCensus ethnicity questions vary considerably not just in their terminology but also in the language they use to elicit respondents’ identities. In particular, census questionnaires differ noticeably in their recognition of ethnicity as a matter of subjective belief, as opposed to objective fact. Twelve (or 14 %) of the 87 countries that practice ethnic enumeration treat it as a subjective facet of identity by asking respondents what they ‘think,’ ‘consider,’ or otherwise believe themselves to be. Examples come from every world region. Saint Lucia’s census asks, ‘To what ethnic group do you think [the person] belongs?’ (emphasis added) rather than simply, ‘To what ethnic, racial or national group does [the person] belong?’ The same explicitly subjective formulation is found on the census questionnaires of New Caledonia (‘A laquelle des communautés suivantes estimez-vous appartenir?’ [To which of the following communities do you think you belong?]), and Paraguay (‘¿Se considera perteneciente a una étnia indígena?’; [Do you consider yourself as belonging to an indigenous ethnic group?]), for example (emphases mine).In addition to the recognition of the subjectivity of identity through references to respondents’ beliefs, these censuses achieve the same end by emphasizing the personal, self-selected aspect of ethnicity; it is what the individual says it is, not the product of an objective external measurement. Accordingly, the individual respondent’s choice is paramount here, as in the Philippines’ question, ‘How does [the person] classify himself/herself?’ or Bermuda’s ‘In your opinion, which of the following best describes your ancestry?’ South Africa’s census asks, ‘How would (the person) describe him/herself in terms of population group?’ while Jamaica asks, ‘To which race or ethnic group would you say you/… belong(s)?’, both questions employing the conditional tense. Deference to the individual’s choice of self-recognition is found in non-English formulations as well, such as Argentina’s ‘¿Existe en este hogar alguna persona que se reconozca descendiente o perteneciente a un pueblo indígena?’ [Is there someone in this household who considers him/herself a descendant of or belonging to an indigenous people?], or Suriname’s ‘Tot welke etnische groep rekent deze persoon zichzelf?’ (With which ethnic group does this person identify him/herself?). Peru’s census question even lays out the basis on which individuals might construct their ethnic identity, asking ‘¿Por sus antepasados y de acuerdo a sus costumbres Ud. se considera:…’ [Given your ancestors and traditions, you consider yourself…].Many of these examples also illustrate another strategy of recognizing the subjectivity of identity, and that is the reference to ethnic groups as something with which one is affiliated, as opposed to the more total ethnicity as something that one is. The difference between an essential being ethnic and a constructed belonging to an ethnicity can be illustrated by juxtaposing the question ‘What is your ethnic group?’ (United Kingdom) against ‘To what ethnic group do you belong?’ (Guyana). The difference is subtle, yet it marks a distinction between a more essentialist concept of ethnicity as objectively given, and a more constructionist understanding of ethnicity as socially and thus subjectively developed. In addition to the 14 % of the national censuses studied that presented ethnicity as subjective in the ways previously described, another 21 % (18 countries) used the concept of belonging (appartenir in French, pertenecer in Spanish) in the formulation of their ethnicity question. Again, this approach was found on censuses from every world region.It is clear however that in the majority of cases, census ethnicity questions were brief and direct, simply treating ethnicity as an objective individual characteristic to be reported. Some did not in fact include a question, merely a title (e.g., ‘Ethnic Group,’ Bulgaria). However, it should be noted that three national censuses from Eastern Europe indicated that it was not obligatory to respond to the ethnicity question, ostensibly due to its sensitive nature. Croatia’s census notes ‘person is not obliged to commit himself/herself,’ Slovenia’s reads, ‘You don’t have to answer this question if you don’t wish to,’ and Hungary adds, ‘Answering the following questions is not compulsory!’4.3 Answering the Ethnicity Question4.3.1 Response FormatsTurning now to the structuring of response options for ethnicity questions, the national censuses studied employed three types of answer format:

1.

Closed-ended responses (e.g., category checkboxes; code lists)

2.

Closed-ended with open-ended ‘Other’ option (i.e., permitting the respondent to write in a group name not included on the list presented)

3.

Open-ended (i.e., write-in blanks)

The three approaches were used in nearly equal proportions among the 87 countries employing ethnic enumeration: 32 (37 %) used the entirely closed-ended approach, 28 (32 %) the mixed approach, and 27 (31 %) permitted respondents to write in whatever ethnic identity they chose.The closed-ended approach generally took two forms: either a limited number of checkbox category options, or the request to select a code from a list of ethnic groups assigned to codes. The former strategy can be found, for example, on the Brazilian census, which gave respondents five options to choose from to identify their ‘colour or race’: (1) Branca (white); (2) Preta (black or dark brown); (3) Parda (brown or light brown); (4) Amarela (yellow); (5) Indigena (indigenous). This listing of five categories is a relatively brief one; another such example is Romania’s series of ‘nationality’ answers: (1) Romanian; (2) Hungarian; (3) Gypsy/Roma; (4) German and (5) Other. At the other end of the spectrum, Guatemala offered a list of 22 indigenous groups plus Garifuna and Ladino, and Argentina and Paraguay each presented a list of 17 indigenous groups for selection by the respondent. However, the second type of closed-ended format – the linking of ethnic groups to code numbers – permitted respondents to select from an even longer list of choices; Laos offered 48 such code options. Other countries to use the code-list strategy were Ghana, Kenya, Malaysia, the Philippines and India.An even wider range of responses was possible on the censuses that featured the combination of closed-ended categories with a fill-in blank for the ‘Other’ option alone. After giving respondents six options to choose from – Estonian, Ukrainian, Finnish, Russian, Belorussian and Latvian – the Estonian census requested that individuals choosing the seventh ‘Other’ box write in their specific ‘ethnic nationality.’ In Mongolia, respondents either identified with the Khalkh option or wrote in their ethnicity. Singapore listed 13 possibilities for ‘ethnic/dialect group’ – Hokkien, Teochew, Cantonese, Hakka (Khek), Hainanese, Malay, Boyanese, Javanese, Tamil, Filipino, Thai, Japanese and Eurasian – before requesting specification from anyone selecting the last, ‘Others’ option.In the last, entirely open-ended strategy, respondents were simply asked to ‘write in’ (Senegal) or ‘provide the name of’ (China) their ethnic group. This approach may not always offer the respondent as much latitude as it appears, however. In nations where one’s ethnic affiliation is firmly fixed in other official records (e.g., mandatory identity documents), individuals may not choose freely from an unlimited range of identities so much as they reproduce the label that has already been assigned to them by state bureaucracies.Although the sample of censuses studied was fairly evenly divided across the three types of ethnic response format, each world region generally favoured one approach more than the others. Table 2.5 shows that in South America and Africa, the closed-ended approach was taken by about two thirds of the national censuses, whereas roughly the same share in Europe used the mixed approach, and about two thirds of Asian censuses relied on the open-ended strategy.Table 2.5 Census ethnicity response formats by regionFull size table

In addition to geographic distribution, census ethnicity response formats also vary depending on whether the terminology in use is ethnicity, nationality, indigenous status/tribe, or race (see Table 2.6). In particular, questions on nationality are most likely to permit some kind of write-in response, while those inquiring about indigenous status and race are the least likely to do so. The first finding may reflect the expectation that fairly few national origins are likely to be elicited and thus an open-ended approach is not likely to become unwieldy. The second finding may reflect governmental tendencies to develop official lists of indigenous and racial groups that are formally recognized by the state, coupled with a sense of necessity to assign all respondents to such predetermined indigenous or racial groups. In addition, popular conceptions of these identities may depict them as involving a limited number of categories (such as ‘black,’ ‘white,’ and ‘yellow’ colour groupings) or even simple dichotomies (e.g., indigenous versus non-indigenous).Table 2.6 Census ethnicity response formats by question typeFull size table

4.3.2 Response OptionsCensus response formats for ethnicity vary in other ways worth noting:(a.) Mixed or Combined Categories. Several census questionnaires permit the respondent to identify with more than one ethnicity. This flexibility takes three forms. First, some censuses allow the respondent to check off more than one category (e.g., Channel Islands – Jersey; Canada; New Zealand; United States; U.S. Virgin Islands). Other census questionnaires offer a generic mixed-ethnicity response option (e.g., ‘Mixed’: Channel Islands – Jersey, Saint Lucia, Anguilla, Guyana, Zimbabwe, Trinidad and Tobago, Jamaica, Mozambique, Solomon Islands, Suriname; ‘Mestizo’: Belize, Peru; ‘Coloured’ in South Africa). Finally, some censuses specify exact combinations of interest, for example: ‘White and Black Caribbean,’ ‘White and Black African,’ etc. in the United Kingdom; ‘Black and White,’ ‘Black and Other,’ etc. in Bermuda; ‘Part Cook Island Maori,’ Cook Islands; ‘Eurasian,’ Singapore; ‘Part Ni-Vanuatu,’ Vanuatu; ‘Part Tokelauan/Samoan,’ ‘Part Tokelauan/Tuvaluan,’ etc., Tokelau; ‘Part Tongan,’ Tonga; and ‘Part Tuvaluan’ in Tuvalu.(b.) Overlap between ethnic, national, language and other response categories. The conceptual proximity between such concepts as ethnicity and nationality is illustrated once again by some censuses’ use of the same set of response categories to serve as answers to distinct questions on ethnicity, nationality, or language. For example, the Bermudan census response category ‘Asian’ can be selected when responding either to the race or the ‘ancestry’ question. An even more striking example comes from Hungary, where the same detailed list of categories serves as the response options to three separate questions (one each for nationality, culture and language). The options are: Bulgarian; Gipsy (Roma); Beas; Romani; Greek; Croatian; Polish; German; Armenian; Roumanian; Ruthenian; Serbian; Slovakian; Slovenian; Ukrainian; Hungarian, and ‘Do not wish to answer.’ Moldova also uses the same responses for three questions (one each on citizenship, nationality and language), while Estonia and Poland use the same categories for their citizenship and ethnic nationality questions, and Latvia, Romania, and Turkmenistan use the same response options for nationality and language questions.It is also worth recalling that even when only one ethnicity question appears on a census with one set of response options, the answer categories themselves may reference multiple concepts such as race and nationality. The United States’ race question, which includes answers like ‘white’ and ‘black’ alongside national or ethnic designations like ‘Korean’ and ‘Japanese,’ provides a good example. Similarly, Saint Lucia and Guyana’s ethnicity options include races like ‘black’ and ‘white’ alongside national designations like ‘Chinese’ and ‘Portuguese.’Nationality and ethnicity are also intertwined on censuses that use a single question to ask respondents for ethnicity if they are citizens, but for something else if they are foreigners. For example, Indonesia requests, ‘If the respondent is a foreigner, please specify his/her citizenship and if the respondent is an Indonesian, please specify his/her ethnicity.’ Kenya’s ethnicity question reads, ‘Write tribe code for Kenyan Africans and country of origin for other Kenyans and non-Kenyans.’ Zambia’s ethnicity question instructs, ‘If Zambian enter ethnic grouping, if not mark major racial group.’ And Iraq’s census asks only Iraqis to answer the ethnicity question.Perhaps the simplest cases of conceptual overlap occur, however, on censuses that combine multiple terms in the same item, such as the conflation of ethnicity and race in the Solomon Islands’ question: ‘Ethnicity. What race do you belong to? Melanesian, Polynesian, Micronesian, Chinese, European, other or mixed?’(c.) Use of examples. National censuses vary considerably in the extent to which they employ examples to facilitate response to their ethnicity questions. Given typical space constraints, this strategy is not widespread; instead, the list of checkbox response options may serve as the principal illustration of the objective of the question. For example, the Philippine presentation of examples before its closed-ended code-list question is unusual: ‘How does [the person] classify himself/herself? Is he/she an Ibaloi, Kankanaey, Mangyan, Manobo, Chinese, Ilocano or what?’ Instead, examples are more likely to be employed when the answer format calls for an open-ended write-in response; it is in this context, for example, that Fiji offers respondents the examples ‘Chinese, European, Fijian, Indian, part European, Rotuman, Tongan, etc.’ The U.S. Pacific territories do the same for their ‘ethnic origin or race’ write-in item.In summary, both the amount of latitude that census respondents enjoy when answering an ethnicity question and the amount of guidance or clarification they are given vary widely across the international spectrum.5 Conclusions5.1 Summary of FindingsAlthough widespread, ethnic enumeration is not a universal feature of national censuses; 63 % of the censuses studied here included some type of ethnicity question. In nearly half of these cases, ‘ethnicity’ was the term used, but significant numbers of censuses inquired about ‘nationality,’ ‘indigenous status,’ and ‘race.’ Each of these terms tended to be associated with a particular type of response format: questions about indigenous status were most likely to entail a closed-ended response format (checkboxes or code lists), whereas nationality questions were the most likely to permit open-ended responses (i.e., fill-in blanks). National census practices also varied in terms of their allowance of multiple-group reporting and use of examples.The large number of questionnaires studied here (138 in total, with 87 employing ethnic enumeration) permits the exploration of geographic patterns in census practices. Based on this sample, it appears that nations in the Americas and in Oceania are most likely to enumerate by ethnicity, while those in Europe and Africa are the least likely. Among the countries that do practice census ethnic classification, the term ‘nationality’ is most likely to be used in Eastern Europe and the former Soviet Union, while ‘indigenous status’ is most likely to be a concern in the Americas, as is ‘race.’5.2 Evaluating Ethnic EnumerationIn addition to the empirical, theoretical and applied contributions to be made to existing research on ethnic classification (see Morning 2008), the findings reported here are relevant to debates about the formulation, feasibility and desirability of both census ethnic enumeration and international guidelines concerning it. Any proposal for new enumeration strategies, however, must reckon with the fact that census construction is not merely an exercise in survey design; it is fundamentally a political process, where state and group interests and ideology thoroughly inform the final census product (Anderson 1988; Kertzer and Arel 2002a; Nobles 2000; Skerry 2000). The United States in particular offers a long record of instances in which official racial classification has been shaped by forces other than methodological concerns (Lee 1993; Morning 2003; Wolfe 2001). The current format that distinguishes Hispanics as an ethnic group but not a race; the inclusion of multiple sub-categories of the ‘Asian’ race option; and the retention of a ‘Some other race’ response are just a few examples of census features championed by political actors.Consequently, it is not enough to appeal to methodological principles of logic, consistency, parsimony or clarity – nor to international precedent – when calling for change in census questionnaires. Political interpretation and agendas around the census must also be taken into account. More specifically, potential revisions that are suggested by cross-national comparison must address the policy concerns and motivations that shaped the current questionnaire. Are these political exigencies still salient or have they diminished in importance? Does the proposed revision solve or exacerbate the social problem in question, or do neither? Will the suggested change have other benefits or costs? How do they compare to the benefits and costs of the existing arrangement? Although survey design problems such as inconsistency or lack of clarity may not seem pressing enough to overhaul longstanding census items, we should not overlook the fact that they entail real costs: confusion, non-response, offense and lack of representation are just a few. In other words, the kinds of census design flaws that cross-national comparison reveals are most likely to be addressed if their implications for data quality are translated into the political language of social costs and benefits that has always shaped national census-taking.International guidelines for the conduct of population censuses must also take both design imperatives and policy motivations into account. The most widely-applicable guidance is the United Nations Statistics Division’s (1998) Principles and Recommendations for Population and Housing Censuses (Revision 1). In its discussion of ethnic enumeration, this document stresses the practical difficulty of proposing a common, cross-national approach to ethnic enumeration:

The national and/or ethnic groups of the population about which information is needed in different countries are dependent upon national circumstances. Some of the bases upon which ethnic groups are identified are ethnic nationality (in other words country or area of origin as distinct from citizenship or country of legal nationality), race, colour, language, religion, customs of dress or eating, tribe or various combinations of these characteristics. In addition, some of the terms used, such as ‘race’, ‘origin’ and ‘tribe’, have a number of different connotations. The definitions and criteria applied by each country investigating ethnic characteristics of the population must therefore be determined by the groups that it desires to identify. By the very nature of the subject, these groups will vary widely from country to country; thus, no internationally relevant criteria can be recommended. (p. 72)

Despite the United Nations’ conclusion that ‘no internationally relevant criteria can be recommended,’ given the many ways that ethnicity is operationalized around the world (i.e., with measures such as language or dress), this analysis has revealed a great deal of commonality in official approaches to ethnic enumeration. And despite national variety in the groups recognized or the ethnicity terminology used, a broad class of ethnicity questions targeting communities of descent can be identified. Diversity in indicators of ethnicity – which as the U.N. rightly notes, are context-driven – does not preclude recognizing and analyzing them as reflections of a shared fundamental concept. Despite the different formulations used, such as ‘race’ or ‘nationality,’ their shared reference to communities of descent justifies both academic and policy interpretation of them as comparable categorization schemes. Just as different countries might define ‘family’ membership differently, we can recognize that their varied enumeration approaches target an underlying, shared concept of kinship – and suggest census guidelines accordingly. In short, these findings challenge the United Nations conclusion that international guidance on ethnic enumeration is not possible.The feasibility of proposing international guidelines on ethnic enumeration is an entirely separate matter, however, from the question of what recommendations should be made, including first and foremost any guidance about whether ethnicity should be a census item at all. The debate about the desirability of formal ethnic classification is a political one – and it is important and timely. In the United States, some public figures have called for the removal of racial categories from official state-level records, believing that government policies should not be informed by data on race (Morning and Sabbagh 2005). In some European countries, France in particular, the potential introduction of official ethnic classification has been hotly debated (Blum 2002; Simon and Stavo-Debauge 2004). While supporters believe such categories are necessary to identify and combat discrimination, opponents fear that government adoption of such a classification scheme would divide the nation, stigmatize some groups, and generally bolster concepts of difference that have been closely associated with prejudice. Given such concerns, Zuberi’s (2005) admonition that ethnic categories not be used on censuses without a clear objective, and one that will not harm those groups traditionally stigmatized by such classifications, is essential. But as the French case illustrates, it can be difficult to ascertain the pros and cons of ethnic enumeration, as its likely impact may be highly contested. While the presentation of results on global classification practices cannot answer the normative questions posed here, empirical findings on the reach and uses of such categorization schemes should nonetheless be a meaningful resource that informs the important debate over whether populations should be enumerated by ethnicity at all.

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Download references AcknowledgementsThe author warmly thanks the following people and institutions for their contributions: Kevin Deardorff (U.S. Census Bureau); United Nations Statistical Division (Department of Economic and Social Affairs), Demographic and Social Statistics Branch (particularly Mary Chamie, Jeremiah Banda, Yacob Zewoldi, Margaret Mbogoni, Lisa Morrison-Puckett and intern Julia Alemany); International Programs Center, U.S. Census Bureau; Adrian Hayes (Australian National University); Caroline Persell and Sylvia Simson (New York University); Leslie Stone (Inter-American Development Bank); Gerald Haberkorn (Secretariat of the Pacific Community); Patrick Corr (Australian Bureau of Statistics); and anonymous reviewers. I also wish to thank the attendees at the following presentations of this research: U.S. Census Bureau Migration Speaker Series; Population Association of America; International Union for the Scientific Study of Population; American Sociological Association; and the Demographic and Social Statistics Branch (United Nations) Speaker Series. The initial version of this research was funded by the U.S. Census Bureau Immigration Statistics Branch. However, the conclusions – and the shortcomings – are solely those of the author. Author informationAuthors and AffiliationsDepartment of Sociology, New York University, New York, NY, USAAnn MorningAuthorsAnn MorningView author publicationsYou can also search for this author in

PubMed Google ScholarCorresponding authorCorrespondence to

Ann Morning . Editor informationEditors and AffiliationsInternational Migration and Minorities Unit, Institut National d'Etudes Démograhiques, Melrose, Montreal, CanadaPatrick Simon Oppenheimer Chair in Public International Law, McGill University and Honorary University of Montreal, Melrose, Montreal, CanadaVictor Piché Institute for Statistics, UNESCO, Montreal, CanadaAmélie A. Gagnon Appendix: Countries Included in Regional GroupingsAppendix: Countries Included in Regional Groupings

Organizing scheme borrowed from United Nations Statistical DivisionNorth AmericaSouth AmericaAfricaEuropeAsiaOceania

Anguilla*

Argentina*

AlgeriaAlbania*Afghanistan

American Samoa*

Antigua and Barbuda

Bolivia*

AngolaAndorra

Armenia*

Australia*

Aruba

Brazil*

BeninAustria*

Azerbaijan*

Cook Islands*

Bahamas*

Chile*

Botswana*Belarus*Bahrain*

Fiji*

BarbadosColombiaBurkina FasoBelgium*BangladeshFrench Polynesia*

Belize*

EcuadorBurundiBosnia and HerzegovinaBhutan

Guam*

Bermuda*

Falkland Islands (Malvinas)Cameroon

Bulgaria*

Brunei Darussalam

Kiribati*

British Virgin IslandsFrench Guiana*Cape Verde*Channel Islands (Guernsey)*Cambodia*Marshall Islands

Canada*

Guyana*

Central African Republic

Channel Islands (Jersey)*

China*

Micronesia (Federated States of)*

Cayman Islands

Paraguay*

Chad

Croatia*

Cyprus*

Nauru*

Costa Rica*

Peru*

ComorosCzech Republic*Democratic People’s Republic of Korea

New Caledonia*

Cuba

Suriname*

CongoDenmarkEast Timor*

New Zealand*

DominicaUruguay*Cote d’Ivoire

Estonia*

Georgia*

NiueDominican Republic

Venezuela*

Democratic Republic of the CongoFaeroe Islands

Hong Kong*

Norfolk IslandEl Salvador DjiboutiFinland*

India*

Northern Mariana Islands*

GreenlandEgypt*France*

Indonesia*

PalauGrenadaEquatorial GuineaGermanyIranPapua New Guinea*GuadeloupeEritreaGibraltar

Iraq*

Pitcairn

Guatemala*

EthiopiaGreece*Israel*SamoaHaiti* GabonHoly SeeJapan*

Solomon Islands*

Honduras*

Gambia

Hungary*

Jordan

Tokelau*

Jamaica*

Ghana*

Iceland

Kazakhstan*

Tonga*

MartiniqueGuinea*Ireland*Kuwait*

Tuvalu*

Mexico*

Guinea-BissauIsle of Man*

Kyrgyzstan*

Vanuatu*

Montserrat

Kenya*

Italy*

Lao People’s Dem. Republic*

Wallis and Futuna Islands*Netherlands AntillesLesotho*

Latvia*

Lebanon Nicaragua*LiberiaLiechtenstein*

Macao*

Panama*

Libyan Arab Jamahiriya

Lithuania*

Malaysia*

Puerto Rico*

MadagascarLuxembourg*Maldives*Saint Kitts and NevisMalawi*Malta*

Mongolia*

Saint Lucia*

MaliMonaco*MyanmarSaint Pierre and MiquelonMauritaniaNetherlands

Nepal*

Saint Vincent and the Grenadines

Mauritius*

Norway*Occupied Palestinian Territory*

Trinidad and Tobago*

Morocco*

Poland*

OmanTurks and Caicos Islands

Mozambique*

Portugal*Pakistan*

United States*

Namibia*

Republic of Moldova*

Philippines*

U.S. Virgin Islands*

Niger

Romania*

Qatar Nigeria

Russian Federation*

Republic of Korea*RéunionSan MarinoSaudi ArabiaRwandaSlovakia

Singapore*

Saint Helena

Slovenia*

Sri Lanka*

Sao Tome and PrincipeSpain*Syrian Arab Republic

Senegal*

Svalbard and Jan Mayen Islands

Tajikistan*

Seychelles*SwedenThailand*Sierra LeoneSwitzerland*Turkey*  Somalia

Former Yugoslav Republic of Macedonia*

Turkmenistan*

 

South Africa*

Ukraine*

United Arab EmiratesSudan

United Kingdom*

Uzbekistan*

Swaziland*

Yugoslavia*

Vietnam*

Togo Yemen*Tunisia UgandaUnited Rep. of Tanzania*Western Sahara

Zambia*

Zimbabwe*

Countries marked with an asterisk * are those whose censuses from the 1995–2004 period were used for this study; countries in bold include an ethnicity question on the census

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AbstractMany if not most countries around the world categorize their inhabitants by race, ethnicity and/or national origins when it comes time to conduct a census. In an unpublished survey of census questionnaires, the United Nations found that 65 % enumerated their populations by national or ethnic group (United Nations Statistics Division 2003). However, this statistic encompasses a wide diversity of approaches to ethnic classification, as evinced by the spectrum of terms employed; ‘race,’ ‘ethnic origin,’ ‘nationality,’ ‘ancestry’ and ‘indigenous,’ ‘tribal’ or ‘aboriginal’ group all serve to draw distinctions within the national population. The picture is further complicated by the ambiguity of the meanings of these terms: what is called ‘race’ in one country might be labelled ‘ethnicity’ in another, while ‘nationality’ means ancestry in some contexts and citizenship in others. Even within the same country, one term can take on several connotations, or several terms may be used interchangeably.KeywordsNational CensusIndigenous GroupIndigenous StatusEthnic NationalityUnited Nation Statistical DivisionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.Abridged from the article published in Population Research and Policy Review, 27(2), p. 239–272, 2008.

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1 IntroductionMany if not most countries around the world categorize their inhabitants by race, ethnicity and/or national origins when it comes time to conduct a census. In an unpublished survey of census questionnaires, the United Nations found that 65 % enumerated their populations by national or ethnic group (United Nations Statistics Division 2003). However, this statistic encompasses a wide diversity of approaches to ethnic classification, as evinced by the spectrum of terms employed; ‘race,’ ‘ethnic origin,’ ‘nationality,’ ‘ancestry’ and ‘indigenous,’ ‘tribal’ or ‘aboriginal’ group all serve to draw distinctions within the national population. The picture is further complicated by the ambiguity of the meanings of these terms: what is called ‘race’ in one country might be labelled ‘ethnicity’ in another, while ‘nationality’ means ancestry in some contexts and citizenship in others. Even within the same country, one term can take on several connotations, or several terms may be used interchangeably.This article surveys the approaches to ethnic enumeration that 141 nations took on their 1995–2004 (or ‘2000 round’) censuses. Using a unique data set compiled by the United Nations Statistical Division, this research identifies several dimensions along which classification practices vary. Specifically, I address three research questions:

1.

How widespread is census enumeration by ethnicity, in global terms?

2.

Among national censuses that do enumerate by ethnicity, what approaches do they take, in terms of both their question and answer formats?

3.

What geographic patterns, if any, do ethnic enumeration practices follow?

2 Classification by EthnicityThis chapter uses a broad definition of ‘ethnic enumeration’ that includes census references to a heterogeneous collection of terms (e.g., ‘ethnic group,’ ‘race,’ ‘people,’ ‘tribe’), which indicate a contemporary yet somewhat inchoate sense of origin-based ‘groupness.’ Despite the fluidity between the conceptual borders of ethnicity, race and nationality, at their cores they share a common connotation of ancestry or ‘community of descent’ (Hollinger 1998). Each concept relies on a different type of proof or manifestation of those shared roots – ethnicity discerns it in cultural practices or beliefs (e.g., dress, language, religion), race in perceived physical traits, and nationality through geographic location – yet they all aim to convey an accounting of origins or ancestry. As a result, in the research to be described I have included all three of these terms – and others – as indicators of one underlying concept of origins. For this umbrella concept I use the label ‘ethnicity’ rather than ‘ancestry,’ however, to emphasize the immediacy that such categories can have when individuals identify themselves. As Alba (1990: 38) points out, ancestry involves beliefs about one’s forebears, while ethnicity is a matter of ‘beliefs directly about oneself.’ He illustrates the difference as being one between the statements, ‘My great-grandparents came from Poland’ (ancestry) versus ‘I am Polish’ (ethnicity).Identifying a core meaning shared by varied ethnicity-related terms makes possible a global comparative study of ethnic categorization. Previous academic comparisons of census ethnic enumeration have usually included only a few national cases, as part of an intensive examination of the social, historical and political factors behind diverse classificatory regimes (e.g., Kertzer and Arel 2002a; Nobles 2000). And the broader surveys available are generally either regional (e.g., Almey et al. 1992), not based on systematic samples (e.g., Rallu et al. 2004; Statistics Canada and U.S. Census Bureau 1993), or focused on informal conventions rather than official categorization schemes (e.g., Wagley 1965). As a result, no comprehensive international analysis of formal ethnic enumeration approaches precedes this study. One of the fundamental contributions made here is thus an empirical one, in the form of a profile of ethnic enumeration worldwide and typology of such practices.Providing information about a large sample of contemporary national censuses is also a major step forward for theory-building about the origins of different classificatory systems. Collecting data on the dependent variable of classification type suggests important features to measure and eventually to explain. Rallu et al. (2004) exemplify the possibilities of such an analysis by proposing four types of governmental approach to ethnic enumeration:

1.

Enumeration for political control (compter pour dominer)

2.

Non-enumeration in the name of national integration (ne pas compter au nom de l’intégration nationale)

3.

Discourse of national hybridity (compter ou ne pas compter au nom de la mixité)

4.

Enumeration for antidiscrimination (compter pour justifier l’action positive)

Rallu et al. (2004) identify colonial census administration with the first category, as well as related examples such as apartheid-era South Africa, the Soviet Union and Rwanda. In these cases, ethnic categories form the basis for exclusionary policies. In the second category, where ethnic categories are rejected in order to promote national unity, western European nations such as France, Germany and Spain are prominent. The third category is largely associated with Latin American countries, where governments take different decisions about whether to enumerate by ethnicity, but a broader discourse praising interethnic mixture or hybridity is not uncommon. The final category is illustrated with examples from Latin America (e.g., Brazil, Colombia) and Asia (China), but the principal cases discussed here are those of England, Canada and the United States, where ethnic census data serve as tools in combating discrimination. Despite the number of regions that Rallu et al. (2004) take into account, however, their conclusions are drawn from a limited set of countries rather than the complete international pool. As a result, the four-part schema they identify might be altered if a wider sample of national censuses were considered.Another element that is missing from the existing literature on ethnic enumeration is comparative content analysis of the language of census ethnicity items. The studies previously described generally focus on the question of which political motives result in the presence or absence of an ethnic question on a national census. They do not delve into the details of the precise format of the question. But such nuances offer particular applied interest for demographers and other census officials. Maintaining that such technical information is of use for the architects of population censuses, this chapter investigates what terminology is used in different countries (e.g., ‘race’ or ‘nationality’?), how the request for information is framed, and what options are given to respondents in formulating their answer. In this way, the project may suggest alternative approaches to implement when census forms are being redesigned and offer a basis for weighing the relative strengths and weaknesses of diverse formats.3 Data and MethodologyAs publisher of the annual Demographic Yearbook, the United Nations Statistical Division (UNSD) regularly collects international census information, including both questionnaire forms and data results. For the 2000 round (i.e., censuses conducted from 1995 through 2004), UNSD drew up a list of 231 nations and territories from which to solicit census materials. As of June 2005, this researcher located 141 national questionnaires in the UNSD collection and elsewhere (i.e., from 61 % of the countries listed) and calculated that 30 nations (13 %) had not scheduled a census in that round. Therefore questionnaires were missing from 60 countries (26 % of the original list, or 30 % of the 201 countries expected to have conducted a census within the 2000 round).The gaps in the resultant database’s coverage of international census-taking were not spread randomly across the globe, as Table 2.1 shows. The nations of Europe were best-represented in the collection, as all of the 2000 census round questionnaires available have been located. Next came Asia (including the Middle East), for which 80 % of the available questionnaires have been obtained, followed by South America and Oceania (79 % each), North America (at 51 %, including Central America and the Caribbean), and Africa (42 %). One effect of this uneven coverage is that African countries, which would make up 22 % of the sample and the second-largest regional bloc after Asia if all its 1995–2004 censuses were included, contribute only 13 % to the final sample of national census questionnaires studied. More generally, the variation in coverage suggests that while the results to be described can be considered a good representation of enumeration in Europe, Asia, South America and Oceania, this is not the case for discussion of North (and Central) America or of Africa. Moreover, the country-level data below do not indicate what percentage of the world’s population is covered by the census regimes studied here; findings are not weighted by national population in this inquiry.Table 2.1 Countries included in studyFull size table

Each census form available was checked for questions about respondents’ ‘race,’ ‘ethnicity,’ ‘ancestry,’ ‘nationality’ or ‘national origins,’ ‘indigenous’ or ‘aboriginal’ status – in short, any terminology that indicated group membership based on descent. Although language, religion and legal citizenship questions also appear frequently on national censuses and may be interpreted as reflections of ethnic affiliation, I do not include such indirect references to ancestry. (Consider for example how poor an indicator of ethnicity ‘Native English Speaker’ status would be in a multicultural society like the United States.) When an ethnicity item as defined above appeared on a census, both the question text and response categories or format were entered verbatim into a database. Translations into English were provided by national census authorities, United Nations staff, the author and others for all but three questionnaires, resulting in a final sample of 138 censuses.4 Findings4.1 Frequency of Ethnic EnumerationAmong the 138 national census questionnaires analyzed, 87 countries or 63 % employed some form of ethnic census classification (see Appendix for complete listing). As Table 2.2 shows, North America, South America and Oceania were the regions with the greatest propensity to include ethnicity on their censuses. While Asia’s tendency to enumerate by ethnicity was close to the sample average, both Europe and Africa were much less likely to do so. This regional variation may be explained by Rallu et al’s. (2004) hypothesis that concern about the preservation of national unity leads some countries to forgo ethnic enumeration. The tendency toward ethnic counting in the Americas also suggests, however, that societies whose populations are largely descended from relatively recent settlers (voluntary or involuntary) are most likely to characterize their inhabitants in ethnic terms. As Bean and Tienda (1987: 34–35) wrote of the United States, ‘an ethnic group is created by the entry of an immigrant group into…society.’Table 2.2 Share of countries studied using ethnic enumeration, by regionFull size table

4.2 Census Ethnicity Questions4.2.1 Terminology and Geographic DistributionNot only do nations and regions vary in their censuses’ inclusion of ethnicity items, but they also employ widely differing terminology for such questions. In 49 of the 87 cases of ethnic enumeration (56 %), the terms ethnicity or ethnic (or their foreign-language cognates like ‘ethnicité’ and ‘étnico’) were used. This terminology was found on censuses from every world region. Often the term was combined with others for clarification, as in: ‘Caste/Ethnicity’ (Nepal); ‘cultural and ethnic background’ (Channel Islands/Jersey); ‘grupo étnico (pueblo)’ (Guatemala); ‘Ethnic/Dialect Group’ (Singapore); ‘Ethnic nationality’ (Latvia); and ‘race or ethnic group’ (Jamaica). Overall, nine different terms or concepts appeared in census ethnicity questions; Table 2.3 lists them in descending order of frequency. The table also distinguishes between ‘primary’ terms (i.e., first to appear if more than one term is used in one or more questions) and ‘secondary,’ or following, terms. For example, in the Nepal example above, caste was recorded as the primary term and ethnicity as a secondary term.Table 2.3 Terminology of census ethnicity questionsFull size table

As Table 2.3 shows, the second most frequent term after ethnicity was nationality, used by 20 nations (or 23 %). Here nationality denoted origins rather than current legal citizenship status. This distinction was made clear in most cases either by the presence on the census questionnaire of a separate question for citizenship (e.g., Romania, Tajikistan) or by the use of the adjective ‘ethnic’ to create the term ‘ethnic nationality’ (Estonia). However, I also include in this category census items that combined ethnicity and nationality by using a single question to identify either citizens’ ethnicity or non-citizens’ nationality. For example, the Senegalese question ran, ‘Ethnie ou nationalité: Inscrivez l’ethnie pour les Sénégalais et la nationalité pour les étrangers’ [Ethnicity or nationality: Write down ethnicity for Senegalese and nationality for foreigners].References to nationality as ethnic origin came largely from Eastern European nations (e.g., Poland, Romania) and Asian countries of the former Soviet Union such as Tajikistan, Turkmenistan and Uzbekistan (see Table 2.4). This regional concentration reflects a number of historical factors. First, twentieth century (and earlier) movements of both political borders and people in Eastern Europe left groups with allegiances to past or neighbouring governments situated in new or different states (Eberhardt 2003). Second, this reinforced existing Romantic notions of nations as corresponding to ethnic communities of descent (Kertzer and Arel 2002b). Finally, the Soviet Union’s practice of identifying distinct nationalities within its borders extended the equation of nationality with ethnic membership (Blum and Gousseff 1996).Table 2.4 Census ethnicity terminology by regionFull size table

Roughly 15 % of the national censuses asked about respondents’ indigenous status. These cases came from North America (e.g., Mexico: ‘¿[Name] pertenece a algún grupo indígena?’; [Does [name] belong to an indigenous group?], South America (e.g., Venezuela: ‘¿Pertenece usted a algún grupo indígena?’; [Do you belong to an indigenous group?], Oceania (e.g., Nauru: ‘family’s local tribe’), and Africa (Kenya: ‘Write tribe code for Kenyan Africans’). Indigeneity seems to serve as a marker largely in nations that experienced European colonialism, where it distinguishes populations that ostensibly do not have European ancestry (separating them from mestizos, for example, in Mexico) or who inhabited the territory prior to European settlement. The indigenous status formulation was not found on any European or Asian censuses.The same number of countries (13, or 15 % of all censuses using some form of ethnic enumeration) asked for respondents’ race, but this term was three times more likely to appear as a secondary term than as a primary one. For example, the Brazilian question placed race after colour (‘A sua cor o raça e:’), and Anguilla used race to modify ethnicity: ‘To what ethnic/racial group does [the person] belong?’. Race usage was largely confined to North America (including Central America and the Caribbean), as well as to United States territories in Oceania (American Samoa, Federated States of Micronesia, Guam, Northern Mariana Islands). More specifically, census usage of race is found almost entirely in the former slaveholding societies of the Western Hemisphere and their territories. Of the 13 countries studied that enumerate by race, 11 are either New World former slave societies (United States, Anguilla, Bermuda, Brazil, Jamaica and Saint Lucia) and/or their territories (United States Virgin Islands, Puerto Rico, American Samoa, Guam, and Northern Mariana Islands).Table 2.4 summarizes the geographic patterns in usage of the four most frequent ethnic terms found on national census questionnaires. Reference to ethnicity is most prevalent in Oceania and least prevalent in South America, whereas nationality is found on more than half of the European censuses but on none in the Americas. Conversely, references to indigenous status or ‘tribe’ reach their peak in South America, but are absent on European and Asian censuses. Similarly, race is not found on European or Asian censuses, but appears on almost half of those used in North America (which includes Central America and the Caribbean). Still, in all regions ethnicity remains the most frequent term used, with the exception of South America, where references to indigenous status appear twice as often as those to ethnicity. Together, the four most frequent terms – ethnicity, nationality, indigenous group and race – appear on 90 % of the censuses that enumerate by ethnicity.4.2.2 The Language of Census Ethnicity Questions: The Subjectivity of IdentityCensus ethnicity questions vary considerably not just in their terminology but also in the language they use to elicit respondents’ identities. In particular, census questionnaires differ noticeably in their recognition of ethnicity as a matter of subjective belief, as opposed to objective fact. Twelve (or 14 %) of the 87 countries that practice ethnic enumeration treat it as a subjective facet of identity by asking respondents what they ‘think,’ ‘consider,’ or otherwise believe themselves to be. Examples come from every world region. Saint Lucia’s census asks, ‘To what ethnic group do you think [the person] belongs?’ (emphasis added) rather than simply, ‘To what ethnic, racial or national group does [the person] belong?’ The same explicitly subjective formulation is found on the census questionnaires of New Caledonia (‘A laquelle des communautés suivantes estimez-vous appartenir?’ [To which of the following communities do you think you belong?]), and Paraguay (‘¿Se considera perteneciente a una étnia indígena?’; [Do you consider yourself as belonging to an indigenous ethnic group?]), for example (emphases mine).In addition to the recognition of the subjectivity of identity through references to respondents’ beliefs, these censuses achieve the same end by emphasizing the personal, self-selected aspect of ethnicity; it is what the individual says it is, not the product of an objective external measurement. Accordingly, the individual respondent’s choice is paramount here, as in the Philippines’ question, ‘How does [the person] classify himself/herself?’ or Bermuda’s ‘In your opinion, which of the following best describes your ancestry?’ South Africa’s census asks, ‘How would (the person) describe him/herself in terms of population group?’ while Jamaica asks, ‘To which race or ethnic group would you say you/… belong(s)?’, both questions employing the conditional tense. Deference to the individual’s choice of self-recognition is found in non-English formulations as well, such as Argentina’s ‘¿Existe en este hogar alguna persona que se reconozca descendiente o perteneciente a un pueblo indígena?’ [Is there someone in this household who considers him/herself a descendant of or belonging to an indigenous people?], or Suriname’s ‘Tot welke etnische groep rekent deze persoon zichzelf?’ (With which ethnic group does this person identify him/herself?). Peru’s census question even lays out the basis on which individuals might construct their ethnic identity, asking ‘¿Por sus antepasados y de acuerdo a sus costumbres Ud. se considera:…’ [Given your ancestors and traditions, you consider yourself…].Many of these examples also illustrate another strategy of recognizing the subjectivity of identity, and that is the reference to ethnic groups as something with which one is affiliated, as opposed to the more total ethnicity as something that one is. The difference between an essential being ethnic and a constructed belonging to an ethnicity can be illustrated by juxtaposing the question ‘What is your ethnic group?’ (United Kingdom) against ‘To what ethnic group do you belong?’ (Guyana). The difference is subtle, yet it marks a distinction between a more essentialist concept of ethnicity as objectively given, and a more constructionist understanding of ethnicity as socially and thus subjectively developed. In addition to the 14 % of the national censuses studied that presented ethnicity as subjective in the ways previously described, another 21 % (18 countries) used the concept of belonging (appartenir in French, pertenecer in Spanish) in the formulation of their ethnicity question. Again, this approach was found on censuses from every world region.It is clear however that in the majority of cases, census ethnicity questions were brief and direct, simply treating ethnicity as an objective individual characteristic to be reported. Some did not in fact include a question, merely a title (e.g., ‘Ethnic Group,’ Bulgaria). However, it should be noted that three national censuses from Eastern Europe indicated that it was not obligatory to respond to the ethnicity question, ostensibly due to its sensitive nature. Croatia’s census notes ‘person is not obliged to commit himself/herself,’ Slovenia’s reads, ‘You don’t have to answer this question if you don’t wish to,’ and Hungary adds, ‘Answering the following questions is not compulsory!’4.3 Answering the Ethnicity Question4.3.1 Response FormatsTurning now to the structuring of response options for ethnicity questions, the national censuses studied employed three types of answer format:

1.

Closed-ended responses (e.g., category checkboxes; code lists)

2.

Closed-ended with open-ended ‘Other’ option (i.e., permitting the respondent to write in a group name not included on the list presented)

3.

Open-ended (i.e., write-in blanks)

The three approaches were used in nearly equal proportions among the 87 countries employing ethnic enumeration: 32 (37 %) used the entirely closed-ended approach, 28 (32 %) the mixed approach, and 27 (31 %) permitted respondents to write in whatever ethnic identity they chose.The closed-ended approach generally took two forms: either a limited number of checkbox category options, or the request to select a code from a list of ethnic groups assigned to codes. The former strategy can be found, for example, on the Brazilian census, which gave respondents five options to choose from to identify their ‘colour or race’: (1) Branca (white); (2) Preta (black or dark brown); (3) Parda (brown or light brown); (4) Amarela (yellow); (5) Indigena (indigenous). This listing of five categories is a relatively brief one; another such example is Romania’s series of ‘nationality’ answers: (1) Romanian; (2) Hungarian; (3) Gypsy/Roma; (4) German and (5) Other. At the other end of the spectrum, Guatemala offered a list of 22 indigenous groups plus Garifuna and Ladino, and Argentina and Paraguay each presented a list of 17 indigenous groups for selection by the respondent. However, the second type of closed-ended format – the linking of ethnic groups to code numbers – permitted respondents to select from an even longer list of choices; Laos offered 48 such code options. Other countries to use the code-list strategy were Ghana, Kenya, Malaysia, the Philippines and India.An even wider range of responses was possible on the censuses that featured the combination of closed-ended categories with a fill-in blank for the ‘Other’ option alone. After giving respondents six options to choose from – Estonian, Ukrainian, Finnish, Russian, Belorussian and Latvian – the Estonian census requested that individuals choosing the seventh ‘Other’ box write in their specific ‘ethnic nationality.’ In Mongolia, respondents either identified with the Khalkh option or wrote in their ethnicity. Singapore listed 13 possibilities for ‘ethnic/dialect group’ – Hokkien, Teochew, Cantonese, Hakka (Khek), Hainanese, Malay, Boyanese, Javanese, Tamil, Filipino, Thai, Japanese and Eurasian – before requesting specification from anyone selecting the last, ‘Others’ option.In the last, entirely open-ended strategy, respondents were simply asked to ‘write in’ (Senegal) or ‘provide the name of’ (China) their ethnic group. This approach may not always offer the respondent as much latitude as it appears, however. In nations where one’s ethnic affiliation is firmly fixed in other official records (e.g., mandatory identity documents), individuals may not choose freely from an unlimited range of identities so much as they reproduce the label that has already been assigned to them by state bureaucracies.Although the sample of censuses studied was fairly evenly divided across the three types of ethnic response format, each world region generally favoured one approach more than the others. Table 2.5 shows that in South America and Africa, the closed-ended approach was taken by about two thirds of the national censuses, whereas roughly the same share in Europe used the mixed approach, and about two thirds of Asian censuses relied on the open-ended strategy.Table 2.5 Census ethnicity response formats by regionFull size table

In addition to geographic distribution, census ethnicity response formats also vary depending on whether the terminology in use is ethnicity, nationality, indigenous status/tribe, or race (see Table 2.6). In particular, questions on nationality are most likely to permit some kind of write-in response, while those inquiring about indigenous status and race are the least likely to do so. The first finding may reflect the expectation that fairly few national origins are likely to be elicited and thus an open-ended approach is not likely to become unwieldy. The second finding may reflect governmental tendencies to develop official lists of indigenous and racial groups that are formally recognized by the state, coupled with a sense of necessity to assign all respondents to such predetermined indigenous or racial groups. In addition, popular conceptions of these identities may depict them as involving a limited number of categories (such as ‘black,’ ‘white,’ and ‘yellow’ colour groupings) or even simple dichotomies (e.g., indigenous versus non-indigenous).Table 2.6 Census ethnicity response formats by question typeFull size table

4.3.2 Response OptionsCensus response formats for ethnicity vary in other ways worth noting:(a.) Mixed or Combined Categories. Several census questionnaires permit the respondent to identify with more than one ethnicity. This flexibility takes three forms. First, some censuses allow the respondent to check off more than one category (e.g., Channel Islands – Jersey; Canada; New Zealand; United States; U.S. Virgin Islands). Other census questionnaires offer a generic mixed-ethnicity response option (e.g., ‘Mixed’: Channel Islands – Jersey, Saint Lucia, Anguilla, Guyana, Zimbabwe, Trinidad and Tobago, Jamaica, Mozambique, Solomon Islands, Suriname; ‘Mestizo’: Belize, Peru; ‘Coloured’ in South Africa). Finally, some censuses specify exact combinations of interest, for example: ‘White and Black Caribbean,’ ‘White and Black African,’ etc. in the United Kingdom; ‘Black and White,’ ‘Black and Other,’ etc. in Bermuda; ‘Part Cook Island Maori,’ Cook Islands; ‘Eurasian,’ Singapore; ‘Part Ni-Vanuatu,’ Vanuatu; ‘Part Tokelauan/Samoan,’ ‘Part Tokelauan/Tuvaluan,’ etc., Tokelau; ‘Part Tongan,’ Tonga; and ‘Part Tuvaluan’ in Tuvalu.(b.) Overlap between ethnic, national, language and other response categories. The conceptual proximity between such concepts as ethnicity and nationality is illustrated once again by some censuses’ use of the same set of response categories to serve as answers to distinct questions on ethnicity, nationality, or language. For example, the Bermudan census response category ‘Asian’ can be selected when responding either to the race or the ‘ancestry’ question. An even more striking example comes from Hungary, where the same detailed list of categories serves as the response options to three separate questions (one each for nationality, culture and language). The options are: Bulgarian; Gipsy (Roma); Beas; Romani; Greek; Croatian; Polish; German; Armenian; Roumanian; Ruthenian; Serbian; Slovakian; Slovenian; Ukrainian; Hungarian, and ‘Do not wish to answer.’ Moldova also uses the same responses for three questions (one each on citizenship, nationality and language), while Estonia and Poland use the same categories for their citizenship and ethnic nationality questions, and Latvia, Romania, and Turkmenistan use the same response options for nationality and language questions.It is also worth recalling that even when only one ethnicity question appears on a census with one set of response options, the answer categories themselves may reference multiple concepts such as race and nationality. The United States’ race question, which includes answers like ‘white’ and ‘black’ alongside national or ethnic designations like ‘Korean’ and ‘Japanese,’ provides a good example. Similarly, Saint Lucia and Guyana’s ethnicity options include races like ‘black’ and ‘white’ alongside national designations like ‘Chinese’ and ‘Portuguese.’Nationality and ethnicity are also intertwined on censuses that use a single question to ask respondents for ethnicity if they are citizens, but for something else if they are foreigners. For example, Indonesia requests, ‘If the respondent is a foreigner, please specify his/her citizenship and if the respondent is an Indonesian, please specify his/her ethnicity.’ Kenya’s ethnicity question reads, ‘Write tribe code for Kenyan Africans and country of origin for other Kenyans and non-Kenyans.’ Zambia’s ethnicity question instructs, ‘If Zambian enter ethnic grouping, if not mark major racial group.’ And Iraq’s census asks only Iraqis to answer the ethnicity question.Perhaps the simplest cases of conceptual overlap occur, however, on censuses that combine multiple terms in the same item, such as the conflation of ethnicity and race in the Solomon Islands’ question: ‘Ethnicity. What race do you belong to? Melanesian, Polynesian, Micronesian, Chinese, European, other or mixed?’(c.) Use of examples. National censuses vary considerably in the extent to which they employ examples to facilitate response to their ethnicity questions. Given typical space constraints, this strategy is not widespread; instead, the list of checkbox response options may serve as the principal illustration of the objective of the question. For example, the Philippine presentation of examples before its closed-ended code-list question is unusual: ‘How does [the person] classify himself/herself? Is he/she an Ibaloi, Kankanaey, Mangyan, Manobo, Chinese, Ilocano or what?’ Instead, examples are more likely to be employed when the answer format calls for an open-ended write-in response; it is in this context, for example, that Fiji offers respondents the examples ‘Chinese, European, Fijian, Indian, part European, Rotuman, Tongan, etc.’ The U.S. Pacific territories do the same for their ‘ethnic origin or race’ write-in item.In summary, both the amount of latitude that census respondents enjoy when answering an ethnicity question and the amount of guidance or clarification they are given vary widely across the international spectrum.5 Conclusions5.1 Summary of FindingsAlthough widespread, ethnic enumeration is not a universal feature of national censuses; 63 % of the censuses studied here included some type of ethnicity question. In nearly half of these cases, ‘ethnicity’ was the term used, but significant numbers of censuses inquired about ‘nationality,’ ‘indigenous status,’ and ‘race.’ Each of these terms tended to be associated with a particular type of response format: questions about indigenous status were most likely to entail a closed-ended response format (checkboxes or code lists), whereas nationality questions were the most likely to permit open-ended responses (i.e., fill-in blanks). National census practices also varied in terms of their allowance of multiple-group reporting and use of examples.The large number of questionnaires studied here (138 in total, with 87 employing ethnic enumeration) permits the exploration of geographic patterns in census practices. Based on this sample, it appears that nations in the Americas and in Oceania are most likely to enumerate by ethnicity, while those in Europe and Africa are the least likely. Among the countries that do practice census ethnic classification, the term ‘nationality’ is most likely to be used in Eastern Europe and the former Soviet Union, while ‘indigenous status’ is most likely to be a concern in the Americas, as is ‘race.’5.2 Evaluating Ethnic EnumerationIn addition to the empirical, theoretical and applied contributions to be made to existing research on ethnic classification (see Morning 2008), the findings reported here are relevant to debates about the formulation, feasibility and desirability of both census ethnic enumeration and international guidelines concerning it. Any proposal for new enumeration strategies, however, must reckon with the fact that census construction is not merely an exercise in survey design; it is fundamentally a political process, where state and group interests and ideology thoroughly inform the final census product (Anderson 1988; Kertzer and Arel 2002a; Nobles 2000; Skerry 2000). The United States in particular offers a long record of instances in which official racial classification has been shaped by forces other than methodological concerns (Lee 1993; Morning 2003; Wolfe 2001). The current format that distinguishes Hispanics as an ethnic group but not a race; the inclusion of multiple sub-categories of the ‘Asian’ race option; and the retention of a ‘Some other race’ response are just a few examples of census features championed by political actors.Consequently, it is not enough to appeal to methodological principles of logic, consistency, parsimony or clarity – nor to international precedent – when calling for change in census questionnaires. Political interpretation and agendas around the census must also be taken into account. More specifically, potential revisions that are suggested by cross-national comparison must address the policy concerns and motivations that shaped the current questionnaire. Are these political exigencies still salient or have they diminished in importance? Does the proposed revision solve or exacerbate the social problem in question, or do neither? Will the suggested change have other benefits or costs? How do they compare to the benefits and costs of the existing arrangement? Although survey design problems such as inconsistency or lack of clarity may not seem pressing enough to overhaul longstanding census items, we should not overlook the fact that they entail real costs: confusion, non-response, offense and lack of representation are just a few. In other words, the kinds of census design flaws that cross-national comparison reveals are most likely to be addressed if their implications for data quality are translated into the political language of social costs and benefits that has always shaped national census-taking.International guidelines for the conduct of population censuses must also take both design imperatives and policy motivations into account. The most widely-applicable guidance is the United Nations Statistics Division’s (1998) Principles and Recommendations for Population and Housing Censuses (Revision 1). In its discussion of ethnic enumeration, this document stresses the practical difficulty of proposing a common, cross-national approach to ethnic enumeration:

The national and/or ethnic groups of the population about which information is needed in different countries are dependent upon national circumstances. Some of the bases upon which ethnic groups are identified are ethnic nationality (in other words country or area of origin as distinct from citizenship or country of legal nationality), race, colour, language, religion, customs of dress or eating, tribe or various combinations of these characteristics. In addition, some of the terms used, such as ‘race’, ‘origin’ and ‘tribe’, have a number of different connotations. The definitions and criteria applied by each country investigating ethnic characteristics of the population must therefore be determined by the groups that it desires to identify. By the very nature of the subject, these groups will vary widely from country to country; thus, no internationally relevant criteria can be recommended. (p. 72)

Despite the United Nations’ conclusion that ‘no internationally relevant criteria can be recommended,’ given the many ways that ethnicity is operationalized around the world (i.e., with measures such as language or dress), this analysis has revealed a great deal of commonality in official approaches to ethnic enumeration. And despite national variety in the groups recognized or the ethnicity terminology used, a broad class of ethnicity questions targeting communities of descent can be identified. Diversity in indicators of ethnicity – which as the U.N. rightly notes, are context-driven – does not preclude recognizing and analyzing them as reflections of a shared fundamental concept. Despite the different formulations used, such as ‘race’ or ‘nationality,’ their shared reference to communities of descent justifies both academic and policy interpretation of them as comparable categorization schemes. Just as different countries might define ‘family’ membership differently, we can recognize that their varied enumeration approaches target an underlying, shared concept of kinship – and suggest census guidelines accordingly. In short, these findings challenge the United Nations conclusion that international guidance on ethnic enumeration is not possible.The feasibility of proposing international guidelines on ethnic enumeration is an entirely separate matter, however, from the question of what recommendations should be made, including first and foremost any guidance about whether ethnicity should be a census item at all. The debate about the desirability of formal ethnic classification is a political one – and it is important and timely. In the United States, some public figures have called for the removal of racial categories from official state-level records, believing that government policies should not be informed by data on race (Morning and Sabbagh 2005). In some European countries, France in particular, the potential introduction of official ethnic classification has been hotly debated (Blum 2002; Simon and Stavo-Debauge 2004). While supporters believe such categories are necessary to identify and combat discrimination, opponents fear that government adoption of such a classification scheme would divide the nation, stigmatize some groups, and generally bolster concepts of difference that have been closely associated with prejudice. Given such concerns, Zuberi’s (2005) admonition that ethnic categories not be used on censuses without a clear objective, and one that will not harm those groups traditionally stigmatized by such classifications, is essential. But as the French case illustrates, it can be difficult to ascertain the pros and cons of ethnic enumeration, as its likely impact may be highly contested. While the presentation of results on global classification practices cannot answer the normative questions posed here, empirical findings on the reach and uses of such categorization schemes should nonetheless be a meaningful resource that informs the important debate over whether populations should be enumerated by ethnicity at all.

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Download references AcknowledgementsThe author warmly thanks the following people and institutions for their contributions: Kevin Deardorff (U.S. Census Bureau); United Nations Statistical Division (Department of Economic and Social Affairs), Demographic and Social Statistics Branch (particularly Mary Chamie, Jeremiah Banda, Yacob Zewoldi, Margaret Mbogoni, Lisa Morrison-Puckett and intern Julia Alemany); International Programs Center, U.S. Census Bureau; Adrian Hayes (Australian National University); Caroline Persell and Sylvia Simson (New York University); Leslie Stone (Inter-American Development Bank); Gerald Haberkorn (Secretariat of the Pacific Community); Patrick Corr (Australian Bureau of Statistics); and anonymous reviewers. I also wish to thank the attendees at the following presentations of this research: U.S. Census Bureau Migration Speaker Series; Population Association of America; International Union for the Scientific Study of Population; American Sociological Association; and the Demographic and Social Statistics Branch (United Nations) Speaker Series. The initial version of this research was funded by the U.S. Census Bureau Immigration Statistics Branch. However, the conclusions – and the shortcomings – are solely those of the author. Author informationAuthors and AffiliationsDepartment of Sociology, New York University, New York, NY, USAAnn MorningAuthorsAnn MorningView author publicationsYou can also search for this author in

PubMed Google ScholarCorresponding authorCorrespondence to

Ann Morning . Editor informationEditors and AffiliationsInternational Migration and Minorities Unit, Institut National d'Etudes Démograhiques, Melrose, Montreal, CanadaPatrick Simon Oppenheimer Chair in Public International Law, McGill University and Honorary University of Montreal, Melrose, Montreal, CanadaVictor Piché Institute for Statistics, UNESCO, Montreal, CanadaAmélie A. Gagnon Appendix: Countries Included in Regional GroupingsAppendix: Countries Included in Regional Groupings

Organizing scheme borrowed from United Nations Statistical DivisionNorth AmericaSouth AmericaAfricaEuropeAsiaOceania

Anguilla*

Argentina*

AlgeriaAlbania*Afghanistan

American Samoa*

Antigua and Barbuda

Bolivia*

AngolaAndorra

Armenia*

Australia*

Aruba

Brazil*

BeninAustria*

Azerbaijan*

Cook Islands*

Bahamas*

Chile*

Botswana*Belarus*Bahrain*

Fiji*

BarbadosColombiaBurkina FasoBelgium*BangladeshFrench Polynesia*

Belize*

EcuadorBurundiBosnia and HerzegovinaBhutan

Guam*

Bermuda*

Falkland Islands (Malvinas)Cameroon

Bulgaria*

Brunei Darussalam

Kiribati*

British Virgin IslandsFrench Guiana*Cape Verde*Channel Islands (Guernsey)*Cambodia*Marshall Islands

Canada*

Guyana*

Central African Republic

Channel Islands (Jersey)*

China*

Micronesia (Federated States of)*

Cayman Islands

Paraguay*

Chad

Croatia*

Cyprus*

Nauru*

Costa Rica*

Peru*

ComorosCzech Republic*Democratic People’s Republic of Korea

New Caledonia*

Cuba

Suriname*

CongoDenmarkEast Timor*

New Zealand*

DominicaUruguay*Cote d’Ivoire

Estonia*

Georgia*

NiueDominican Republic

Venezuela*

Democratic Republic of the CongoFaeroe Islands

Hong Kong*

Norfolk IslandEl Salvador DjiboutiFinland*

India*

Northern Mariana Islands*

GreenlandEgypt*France*

Indonesia*

PalauGrenadaEquatorial GuineaGermanyIranPapua New Guinea*GuadeloupeEritreaGibraltar

Iraq*

Pitcairn

Guatemala*

EthiopiaGreece*Israel*SamoaHaiti* GabonHoly SeeJapan*

Solomon Islands*

Honduras*

Gambia

Hungary*

Jordan

Tokelau*

Jamaica*

Ghana*

Iceland

Kazakhstan*

Tonga*

MartiniqueGuinea*Ireland*Kuwait*

Tuvalu*

Mexico*

Guinea-BissauIsle of Man*

Kyrgyzstan*

Vanuatu*

Montserrat

Kenya*

Italy*

Lao People’s Dem. Republic*

Wallis and Futuna Islands*Netherlands AntillesLesotho*

Latvia*

Lebanon Nicaragua*LiberiaLiechtenstein*

Macao*

Panama*

Libyan Arab Jamahiriya

Lithuania*

Malaysia*

Puerto Rico*

MadagascarLuxembourg*Maldives*Saint Kitts and NevisMalawi*Malta*

Mongolia*

Saint Lucia*

MaliMonaco*MyanmarSaint Pierre and MiquelonMauritaniaNetherlands

Nepal*

Saint Vincent and the Grenadines

Mauritius*

Norway*Occupied Palestinian Territory*

Trinidad and Tobago*

Morocco*

Poland*

OmanTurks and Caicos Islands

Mozambique*

Portugal*Pakistan*

United States*

Namibia*

Republic of Moldova*

Philippines*

U.S. Virgin Islands*

Niger

Romania*

Qatar Nigeria

Russian Federation*

Republic of Korea*RéunionSan MarinoSaudi ArabiaRwandaSlovakia

Singapore*

Saint Helena

Slovenia*

Sri Lanka*

Sao Tome and PrincipeSpain*Syrian Arab Republic

Senegal*

Svalbard and Jan Mayen Islands

Tajikistan*

Seychelles*SwedenThailand*Sierra LeoneSwitzerland*Turkey*  Somalia

Former Yugoslav Republic of Macedonia*

Turkmenistan*

 

South Africa*

Ukraine*

United Arab EmiratesSudan

United Kingdom*

Uzbekistan*

Swaziland*

Yugoslavia*

Vietnam*

Togo Yemen*Tunisia UgandaUnited Rep. of Tanzania*Western Sahara

Zambia*

Zimbabwe*

Countries marked with an asterisk * are those whose censuses from the 1995–2004 period were used for this study; countries in bold include an ethnicity question on the census

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Reprints and permissions Copyright information© 2015 The Editor(s) (if applicable) and The Author(s) About this chapterCite this chapterMorning, A. (2015). Ethnic Classification in Global Perspective: A Cross-National Survey of the 2000 Census Round.

In: Simon, P., Piché, V., Gagnon, A. (eds) Social Statistics and Ethnic Diversity. IMISCOE Research Series. Springer, Cham. https://doi.org/10.1007/978-3-319-20095-8_2Download citation.RIS.ENW.BIBDOI: https://doi.org/10.1007/978-3-319-20095-8_2

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race 和 ethnicity该怎么区别? - 知乎

race 和 ethnicity该怎么区别? - 知乎首页知乎知学堂发现等你来答​切换模式登录/注册英语race 和 ethnicity该怎么区别?经常看到如果一段话里提到race,后面通常都会跟一个and ethnicity,它们的区别在哪儿?民族、种族?自我认知和外界标签?关注者36被浏览159,201关注问题​写回答​邀请回答​好问题 2​添加评论​分享​5 个回答默认排序May Wang若要了时当下了,若觅了时无了时。​ 关注这学期正好修了一门社会学课程,讲述美国移民历史下的种族理解,首先看牛津字典和社会学字典上的两个单词的定义EthnicityIndividuals who consider themselves, or are considered by others, to share common characteristics that differentiate them from the other collectivities in a society, and from which they develop their distinctive cultural behaviour, form an ethnic group. Race:each of the major divisions of humankind, having distinct physical characteristics 简言之,Race应该翻译成种族,它是以“外表”来区别,正如我们常说的黄种人,白种人,黑种人。种族歧视主义的英文就为Racist 而Ethnicity应该定义成族群,它是以后天的”文化认同“来区别,由于共同的信仰,语言,文化习俗和历史背景而产生的归属感,是一种主观的自我认定而形成的。这两个词还会经常同Nation(民族)相联系。对于社会学了解还是比较浅显,如果有错误还希望有所指正。发布于 2013-11-14 10:19​赞同 95​​5 条评论​分享​收藏​喜欢收起​吴蜀春菩萨畏因,众生畏果。​ 关注工作的时候想到这个问题,给你看一个调查表里的划分吧。ethnicity下的选项分为:Hispanic or LatinoCentral AmericanCubanLatin AmericanDominicanMexicanPuerto RicanSouth AmericanSpaniardNot Hispanic or LatinoNot Applicablerace选项的划分为:American Indian or Alaska NativeAsianBlack or African AmericanNative Hawaiian or Other Pacific IslanderWhite发布于 2018-07-09 14:32​赞同 14​​2 条评论​分享​收藏​喜欢

Ethnicity - Wikipedia

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1Terminology

2Definitions and conceptual history

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2.1Approaches to understanding ethnicity

2.2Ethnicity theory in the United States

3Ethnicity and nationality

4Ethnicity and race

5Ethno-national conflict

6Ethnic groups by continent

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6.1Africa

6.2Asia

6.3Europe

6.4North America

6.5South America

6.6Oceania

6.6.1Australia

7See also

8References

9Further reading

10External links

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Ethnicity

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From Wikipedia, the free encyclopedia

Socially defined category of people who identify with each other

For other uses, see Ethnicity (disambiguation).

"Ethnicities" redirects here. For the academic journal, see Ethnicities (journal).

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An ethnicity or ethnic group is a grouping of people who identify with each other on the basis of perceived shared attributes that distinguish them from other groups. Those attributes can include a common nation of origin, or common sets of ancestry, traditions, language, history, society, religion, or social treatment.[1][2] The term ethnicity is often used interchangeably with the term nation, particularly in cases of ethnic nationalism.

Ethnicity may be construed as an inherited or societally imposed construct. Ethnic membership tends to be defined by a shared cultural heritage, ancestry, origin myth, history, homeland, language, dialect, religion, mythology, folklore, ritual, cuisine, dressing style, art, or physical appearance. Ethnic groups may share a narrow or broad spectrum of genetic ancestry, depending on group identification, with many groups having mixed genetic ancestry.[3][4][5]

By way of language shift, acculturation, adoption, and religious conversion, individuals or groups may over time shift from one ethnic group to another. Ethnic groups may be divided into subgroups or tribes, which over time may become separate ethnic groups themselves due to endogamy or physical isolation from the parent group. Conversely, formerly separate ethnicities can merge to form a pan-ethnicity and may eventually merge into one single ethnicity. Whether through division or amalgamation, the formation of a separate ethnic identity is referred to as ethnogenesis.

Although both organic and performative criteria characterise ethnic groups, debate in the past has dichotomised between primordialism and constructivism. Earlier 20th-century "Primordialists" viewed ethnic groups as real phenomena whose distinct characteristics have endured since the distant past.[6] Perspectives that developed after the 1960s increasingly viewed ethnic groups as social constructs, with identity assigned by societal rules.[7]

Terminology[edit]

The term ethnic is derived from the Greek word ἔθνος ethnos (more precisely, from the adjective ἐθνικός ethnikos,[8] which was loaned into Latin as ethnicus). The inherited English language term for this concept is folk, used alongside the latinate people since the late Middle English period.

In Early Modern English and until the mid-19th century, ethnic was used to mean heathen or pagan (in the sense of disparate "nations" which did not yet participate in the Christian oikumene), as the Septuagint used ta ethne ("the nations") to translate the Hebrew goyim "the foreign nations, non-Hebrews, non-Jews".[9] The Greek term in early antiquity (Homeric Greek) could refer to any large group, a host of men, a band of comrades as well as a swarm or flock of animals. In Classical Greek, the term took on a meaning comparable to the concept now expressed by "ethnic group", mostly translated as "nation, tribe, a unique people group"; only in Hellenistic Greek did the term tend to become further narrowed to refer to "foreign" or "barbarous" nations in particular (whence the later meaning "heathen, pagan").[10]

In the 19th century, the term came to be used in the sense of "peculiar to a tribe, race, people or nation", in a return to the original Greek meaning. The sense of "different cultural groups", and in American English "tribal, racial, cultural or national minority group" arises in the 1930s to 1940s,[11] serving as a replacement of the term race which had earlier taken this sense but was now becoming deprecated due to its association with ideological racism.

The abstract ethnicity had been used as a stand-in for "paganism" in the 18th century, but now came to express the meaning of an "ethnic character" (first recorded 1953).

The term ethnic group was first recorded in 1935 and entered the Oxford English Dictionary in 1972.[12] Depending on context, the term nationality may be used either synonymously with ethnicity or synonymously with citizenship (in a sovereign state). The process that results in emergence of an ethnicity is called ethnogenesis, a term in use in ethnological literature since about 1950. The term may also be used with the connotation of something unique and unusually exotic (cf. "an ethnic restaurant", etc.), generally related to cultures of more recent immigrants, who arrived after the dominant population of an area was established.

Depending on which source of group identity is emphasized to define membership, the following types of (often mutually overlapping) groups can be identified:

Ethno-linguistic, emphasizing shared language, dialect (and possibly script) – example: French Canadians

Ethno-national, emphasizing a shared polity or sense of national identity – example: Austrians

Ethno-racial, emphasizing shared physical appearance based on phenotype  – example: African Americans

Ethno-regional, emphasizing a distinct local sense of belonging stemming from relative geographic isolation – example: South Islanders of New Zealand

Ethno-religious, emphasizing shared affiliation with a particular religion, denomination or sect – example: Sikhs

Ethno-cultural, emphasizing shared culture or tradition, often overlapping with other forms of ethnicity – example: Travellers

In many cases, more than one aspect determines membership: for instance, Armenian ethnicity can be defined by Armenian citizenship, having Armenian heritage, native use of the Armenian language, or membership of the Armenian Apostolic Church.

Definitions and conceptual history[edit]

A group of ethnic Bengalis in Dhaka, Bangladesh. The Bengalis form the third-largest ethnic group in the world after the Han Chinese and Arabs.[13]

The Javanese people of Indonesia are the largest Austronesian ethnic group.

Ethnography begins in classical antiquity; after early authors like Anaximander and Hecataeus of Miletus, Herodotus laid the foundation of both historiography and ethnography of the ancient world c. 480 BC. The Greeks had developed a concept of their own ethnicity, which they grouped under the name of Hellenes. Herodotus (8.144.2) gave a famous account of what defined Greek (Hellenic) ethnic identity in his day, enumerating

shared descent (ὅμαιμον – homaimon, "of the same blood"),[14]

shared language (ὁμόγλωσσον – homoglōsson, "speaking the same language"),[15]

shared sanctuaries and sacrifices (Greek: θεῶν ἱδρύματά τε κοινὰ καὶ θυσίαι – theōn hidrumata te koina kai thusiai),[16]

shared customs (Greek: ἤθεα ὁμότροπα – ēthea homotropa, "customs of like fashion").[17][18][19]

Whether ethnicity qualifies as a cultural universal is to some extent dependent on the exact definition used. Many social scientists,[20] such as anthropologists Fredrik Barth and Eric Wolf, do not consider ethnic identity to be universal. They regard ethnicity as a product of specific kinds of inter-group interactions, rather than an essential quality inherent to human groups.[21][irrelevant citation]

According to Thomas Hylland Eriksen, the study of ethnicity was dominated by two distinct debates until recently.

One is between "primordialism" and "instrumentalism". In the primordialist view, the participant perceives ethnic ties collectively, as an externally given, even coercive, social bond.[22] The instrumentalist approach, on the other hand, treats ethnicity primarily as an ad hoc element of a political strategy, used as a resource for interest groups for achieving secondary goals such as, for instance, an increase in wealth, power, or status.[23][24] This debate is still an important point of reference in Political science, although most scholars' approaches fall between the two poles.[25]

The second debate is between "constructivism" and "essentialism". Constructivists view national and ethnic identities as the product of historical forces, often recent, even when the identities are presented as old.[26][27] Essentialists view such identities as ontological categories defining social actors.[28][29]

According to Eriksen, these debates have been superseded, especially in anthropology, by scholars' attempts to respond to increasingly politicized forms of self-representation by members of different ethnic groups and nations. This is in the context of debates over multiculturalism in countries, such as the United States and Canada, which have large immigrant populations from many different cultures, and post-colonialism in the Caribbean and South Asia.[30]

Max Weber maintained that ethnic groups were künstlich (artificial, i.e. a social construct) because they were based on a subjective belief in shared Gemeinschaft (community). Secondly, this belief in shared Gemeinschaft did not create the group; the group created the belief. Third, group formation resulted from the drive to monopolize power and status. This was contrary to the prevailing naturalist belief of the time, which held that socio-cultural and behavioral differences between peoples stemmed from inherited traits and tendencies derived from common descent, then called "race".[31]

Another influential theoretician of ethnicity was Fredrik Barth, whose "Ethnic Groups and Boundaries" from 1969 has been described as instrumental in spreading the usage of the term in social studies in the 1980s and 1990s.[32] Barth went further than Weber in stressing the constructed nature of ethnicity. To Barth, ethnicity was perpetually negotiated and renegotiated by both external ascription and internal self-identification. Barth's view is that ethnic groups are not discontinuous cultural isolates or logical a priori to which people naturally belong. He wanted to part with anthropological notions of cultures as bounded entities, and ethnicity as primordialist bonds, replacing it with a focus on the interface between groups. "Ethnic Groups and Boundaries", therefore, is a focus on the interconnectedness of ethnic identities. Barth writes: "... categorical ethnic distinctions do not depend on an absence of mobility, contact, and information, but do entail social processes of exclusion and incorporation whereby discrete categories are maintained despite changing participation and membership in the course of individual life histories."[citation needed]

In 1978, anthropologist Ronald Cohen claimed that the identification of "ethnic groups" in the usage of social scientists often reflected inaccurate labels more than indigenous realities:

... the named ethnic identities we accept, often unthinkingly, as basic givens in the literature are often arbitrarily, or even worse inaccurately, imposed.[32]

In this way, he pointed to the fact that identification of an ethnic group by outsiders, e.g. anthropologists, may not coincide with the self-identification of the members of that group. He also described that in the first decades of usage, the term ethnicity had often been used in lieu of older terms such as "cultural" or "tribal" when referring to smaller groups with shared cultural systems and shared heritage, but that "ethnicity" had the added value of being able to describe the commonalities between systems of group identity in both tribal and modern societies. Cohen also suggested that claims concerning "ethnic" identity (like earlier claims concerning "tribal" identity) are often colonialist practices and effects of the relations between colonized peoples and nation-states.[32]

According to Paul James, formations of identity were often changed and distorted by colonization, but identities are not made out of nothing:

Categorizations about identity, even when codified and hardened into clear typologies by processes of colonization, state formation or general modernizing processes, are always full of tensions and contradictions. Sometimes these contradictions are destructive, but they can also be creative and positive.[33]

Social scientists have thus focused on how, when, and why different markers of ethnic identity become salient. Thus, anthropologist Joan Vincent observed that ethnic boundaries often have a mercurial character.[34] Ronald Cohen concluded that ethnicity is "a series of nesting dichotomizations of inclusiveness and exclusiveness".[32] He agrees with Joan Vincent's observation that (in Cohen's paraphrase) "Ethnicity ... can be narrowed or broadened in boundary terms in relation to the specific needs of political mobilization.[32] This may be why descent is sometimes a marker of ethnicity, and sometimes not: which diacritic of ethnicity is salient depends on whether people are scaling ethnic boundaries up or down, and whether they are scaling them up or down depends generally on the political situation.

Kanchan Chandra rejects the expansive definitions of ethnic identity (such as those that include common culture, common language, common history and common territory), choosing instead to define ethnic identity narrowly as a subset of identity categories determined by the belief of common descent.[35] Jóhanna Birnir similarly defines ethnicity as "group self-identification around a characteristic that is very difficult or even impossible to change, such as language, race, or location."[36]

Approaches to understanding ethnicity[edit]

Different approaches to understanding ethnicity have been used by different social scientists when trying to understand the nature of ethnicity as a factor in human life and society. As Jonathan M. Hall observes, World War II was a turning point in ethnic studies. The consequences of Nazi racism discouraged essentialist interpretations of ethnic groups and race. Ethnic groups came to be defined as social rather than biological entities. Their coherence was attributed to shared myths, descent, kinship, a commonplace of origin, language, religion, customs, and national character. So, ethnic groups are conceived as mutable rather than stable, constructed in discursive practices rather than written in the genes.[37]

Examples of various approaches are primordialism, essentialism, perennialism, constructivism, modernism, and instrumentalism.

"Primordialism", holds that ethnicity has existed at all times of human history and that modern ethnic groups have historical continuity into the far past. For them, the idea of ethnicity is closely linked to the idea of nations and is rooted in the pre-Weber understanding of humanity as being divided into primordially existing groups rooted by kinship and biological heritage.

"Essentialist primordialism" further holds that ethnicity is an a priori fact of human existence, that ethnicity precedes any human social interaction and that it is unchanged by it. This theory sees ethnic groups as natural, not just as historical. It also has problems dealing with the consequences of intermarriage, migration and colonization for the composition of modern-day multi-ethnic societies.[38]

"Kinship primordialism" holds that ethnic communities are extensions of kinship units, basically being derived by kinship or clan ties where the choices of cultural signs (language, religion, traditions) are made exactly to show this biological affinity. In this way, the myths of common biological ancestry that are a defining feature of ethnic communities are to be understood as representing actual biological history. A problem with this view on ethnicity is that it is more often than not the case that mythic origins of specific ethnic groups directly contradict the known biological history of an ethnic community.[38]

"Geertz's primordialism", notably espoused by anthropologist Clifford Geertz, argues that humans in general attribute an overwhelming power to primordial human "givens" such as blood ties, language, territory, and cultural differences. In Geertz' opinion, ethnicity is not in itself primordial but humans perceive it as such because it is embedded in their experience of the world.[38]

"Perennialism", an approach that is primarily concerned with nationhood but tends to see nations and ethnic communities as basically the same phenomenon holds that the nation, as a type of social and political organization, is of an immemorial or "perennial" character.[39] Smith (1999) distinguishes two variants: "continuous perennialism", which claims that particular nations have existed for very long periods, and "recurrent perennialism", which focuses on the emergence, dissolution and reappearance of nations as a recurring aspect of human history.[40]

"Perpetual perennialism" holds that specific ethnic groups have existed continuously throughout history.

"Situational perennialism" holds that nations and ethnic groups emerge, change and vanish through the course of history. This view holds that the concept of ethnicity is a tool used by political groups to manipulate resources such as wealth, power, territory or status in their particular groups' interests. Accordingly, ethnicity emerges when it is relevant as a means of furthering emergent collective interests and changes according to political changes in society. Examples of a perennialist interpretation of ethnicity are also found in Barth and Seidner who see ethnicity as ever-changing boundaries between groups of people established through ongoing social negotiation and interaction.

"Instrumentalist perennialism", while seeing ethnicity primarily as a versatile tool that identified different ethnics groups and limits through time, explains ethnicity as a mechanism of social stratification, meaning that ethnicity is the basis for a hierarchical arrangement of individuals. According to Donald Noel, a sociologist who developed a theory on the origin of ethnic stratification, ethnic stratification is a "system of stratification wherein some relatively fixed group membership (e.g., race, religion, or nationality) is used as a major criterion for assigning social positions".[41] Ethnic stratification is one of many different types of social stratification, including stratification based on socio-economic status, race, or gender. According to Donald Noel, ethnic stratification will emerge only when specific ethnic groups are brought into contact with one another, and only when those groups are characterized by a high degree of ethnocentrism, competition, and differential power. Ethnocentrism is the tendency to look at the world primarily from the perspective of one's own culture, and to downgrade all other groups outside one's own culture. Some sociologists, such as Lawrence Bobo and Vincent Hutchings, say the origin of ethnic stratification lies in individual dispositions of ethnic prejudice, which relates to the theory of ethnocentrism.[42] Continuing with Noel's theory, some degree of differential power must be present for the emergence of ethnic stratification. In other words, an inequality of power among ethnic groups means "they are of such unequal power that one is able to impose its will upon another".[41] In addition to differential power, a degree of competition structured along ethnic lines is a prerequisite to ethnic stratification as well. The different ethnic groups must be competing for some common goal, such as power or influence, or a material interest, such as wealth or territory. Lawrence Bobo and Vincent Hutchings propose that competition is driven by self-interest and hostility, and results in inevitable stratification and conflict.[42]

"Constructivism" sees both primordialist and perennialist views as basically flawed,[42] and rejects the notion of ethnicity as a basic human condition. It holds that ethnic groups are only products of human social interaction, maintained only in so far as they are maintained as valid social constructs in societies.

"Modernist constructivism" correlates the emergence of ethnicity with the movement towards nation states beginning in the early modern period.[43] Proponents of this theory, such as Eric Hobsbawm, argue that ethnicity and notions of ethnic pride, such as nationalism, are purely modern inventions, appearing only in the modern period of world history. They hold that prior to this ethnic homogeneity was not considered an ideal or necessary factor in the forging of large-scale societies.

Ethnicity is an important means by which people may identify with a larger group. Many social scientists, such as anthropologists Fredrik Barth and Eric Wolf, do not consider ethnic identity to be universal. They regard ethnicity as a product of specific kinds of inter-group interactions, rather than an essential quality inherent to human groups.[21] The process that results in emergence of such identification is called ethnogenesis. Members of an ethnic group, on the whole, claim cultural continuities over time, although historians and cultural anthropologists have documented that many of the values, practices, and norms that imply continuity with the past are of relatively recent invention.[44][45]

Ethnic groups can form a cultural mosaic in a society. That could be in a city like New York City or Trieste, but also the fallen monarchy of the Austro-Hungarian Empire or the United States. Current topics are in particular social and cultural differentiation, multilingualism, competing identity offers, multiple cultural identities and the formation of Salad bowl and melting pot.[46][47][48][49] Ethnic groups differ from other social groups, such as subcultures, interest groups or social classes, because they emerge and change over historical periods (centuries) in a process known as ethnogenesis, a period of several generations of endogamy resulting in common ancestry (which is then sometimes cast in terms of a mythological narrative of a founding figure); ethnic identity is reinforced by reference to "boundary markers" – characteristics said to be unique to the group which set it apart from other groups.[50][51][52][53][54][55]

Ethnicity theory in the United States[edit]

Ethnicity theory argues that race is a social category and is only one of several factors in determining ethnicity. Other criteria include "religion, language, 'customs', nationality, and political identification".[56] This theory was put forward by sociologist Robert E. Park in the 1920s. It is based on the notion of "culture".

This theory was preceded by more than 100 years during which biological essentialism was the dominant paradigm on race. Biological essentialism is the belief that some races, specifically white Europeans in western versions of the paradigm, are biologically superior and other races, specifically non-white races in western debates, are inherently inferior. This view arose as a way to justify enslavement of African Americans and genocide of Native Americans in a society that was officially founded on freedom for all. This was a notion that developed slowly and came to be a preoccupation with scientists, theologians, and the public. Religious institutions asked questions about whether there had been multiple creations of races (polygenesis) and whether God had created lesser races. Many of the foremost scientists of the time took up the idea of racial difference and found that white Europeans were superior.[57]

The ethnicity theory was based on the assimilation model. Park outlined four steps to assimilation: contact, conflict, accommodation, and assimilation. Instead of attributing the marginalized status of people of color in the United States to their inherent biological inferiority, he attributed it to their failure to assimilate into American culture. They could become equal if they abandoned their inferior cultures.

Michael Omi and Howard Winant's theory of racial formation directly confronts both the premises and the practices of ethnicity theory. They argue in Racial Formation in the United States that the ethnicity theory was exclusively based on the immigration patterns of the white population and did take into account the unique experiences of non-whites in the United States.[58] While Park's theory identified different stages in the immigration process – contact, conflict, struggle, and as the last and best response, assimilation – it did so only for white communities.[58] The ethnicity paradigm neglected the ways in which race can complicate a community's interactions with social and political structures, especially upon contact.

Assimilation – shedding the particular qualities of a native culture for the purpose of blending in with a host culture – did not work for some groups as a response to racism and discrimination, though it did for others.[58] Once the legal barriers to achieving equality had been dismantled, the problem of racism became the sole responsibility of already disadvantaged communities.[59] It was assumed that if a Black or Latino community was not "making it" by the standards that had been set by whites, it was because that community did not hold the right values or beliefs, or were stubbornly resisting dominant norms because they did not want to fit in. Omi and Winant's critique of ethnicity theory explains how looking to cultural defect as the source of inequality ignores the "concrete sociopolitical dynamics within which racial phenomena operate in the U.S."[60] It prevents critical examination of the structural components of racism and encourages a "benign neglect" of social inequality.[60]

Ethnicity and nationality[edit]

Further information: Nation state and minority group

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In some cases, especially involving transnational migration or colonial expansion, ethnicity is linked to nationality. Anthropologists and historians, following the modernist understanding of ethnicity as proposed by Ernest Gellner[61] and Benedict Anderson[62] see nations and nationalism as developing with the rise of the modern state system in the 17th century. They culminated in the rise of "nation-states" in which the presumptive boundaries of the nation coincided (or ideally coincided) with state boundaries.

Thus, in the West, the notion of ethnicity, like race and nation, developed in the context of European colonial expansion, when mercantilism and capitalism were promoting global movements of populations at the same time state boundaries were being more clearly and rigidly defined.

In the 19th century, modern states generally sought legitimacy through their claim to represent "nations". Nation-states, however, invariably include populations who have been excluded from national life for one reason or another. Members of excluded groups, consequently, will either demand inclusion based on equality or seek autonomy, sometimes even to the extent of complete political separation in their nation-state.[63] Under these conditions when people moved from one state to another,[64] or one state conquered or colonized peoples beyond its national boundaries – ethnic groups were formed by people who identified with one nation, but lived in another state.

Multi-ethnic states can be the result of two opposite events, either the recent creation of state borders at variance with traditional tribal territories, or the recent immigration of ethnic minorities into a former nation-state.

Examples for the first case are found throughout Africa, where countries created during decolonization inherited arbitrary colonial borders, but also in European countries such as Belgium or United Kingdom. Examples for the second case are countries such as Netherlands, which were relatively ethnically homogeneous when they attained statehood but have received significant immigration in the 17th century and even more so in the second half of the 20th century. States such as the United Kingdom, France and Switzerland comprised distinct ethnic groups from their formation and have likewise experienced substantial immigration, resulting in what has been termed "multicultural" societies, especially in large cities.

The states of the New World were multi-ethnic from the onset, as they were formed as colonies imposed on existing indigenous populations.

In recent decades, feminist scholars (most notably Nira Yuval-Davis)[65] have drawn attention to the fundamental ways in which women participate in the creation and reproduction of ethnic and national categories. Though these categories are usually discussed as belonging to the public, political sphere, they are upheld within the private, family sphere to a great extent.[66] It is here that women act not just as biological reproducers but also as "cultural carriers", transmitting knowledge and enforcing behaviors that belong to a specific collectivity.[67] Women also often play a significant symbolic role in conceptions of nation or ethnicity, for example in the notion that "women and children" constitute the kernel of a nation which must be defended in times of conflict, or in iconic figures such as Britannia or Marianne.

Ethnicity and race[edit]

The racial diversity of Asia's ethnic groups (original caption: Asiatiska folk), Nordisk familjebok (1904)

Ethnicity is used as a matter of cultural identity of a group, often based on shared ancestry, language, and cultural traditions, while race is applied as a taxonomic grouping, based on physical similarities among groups. Race is a more controversial subject than ethnicity, due to common political use of the term.[citation needed] Ramón Grosfoguel (University of California, Berkeley) argues that "racial/ethnic identity" is one concept and concepts of race and ethnicity cannot be used as separate and autonomous categories.[68]

Before Weber (1864–1920), race and ethnicity were primarily seen as two aspects of the same thing. Around 1900 and before, the primordialist understanding of ethnicity predominated: cultural differences between peoples were seen as being the result of inherited traits and tendencies.[69] With Weber's introduction of the idea of ethnicity as a social construct, race and ethnicity became more divided from each other.

In 1950, the UNESCO statement "The Race Question", signed by some of the internationally renowned scholars of the time (including Ashley Montagu, Claude Lévi-Strauss, Gunnar Myrdal, Julian Huxley, etc.), said:

National, religious, geographic, linguistic and cultural groups do not necessarily coincide with racial groups: and the cultural traits of such groups have no demonstrated genetic connection with racial traits. Because serious errors of this kind are habitually committed when the term "race" is used in popular parlance, it would be better when speaking of human races to drop the term "race" altogether and speak of "ethnic groups".[70]

In 1982, anthropologist David Craig Griffith summed up forty years of ethnographic research, arguing that racial and ethnic categories are symbolic markers for different ways people from different parts of the world have been incorporated into a global economy:

The opposing interests that divide the working classes are further reinforced through appeals to "racial" and "ethnic" distinctions. Such appeals serve to allocate different categories of workers to rungs on the scale of labor markets, relegating stigmatized populations to the lower levels and insulating the higher echelons from competition from below. Capitalism did not create all the distinctions of ethnicity and race that function to set off categories of workers from one another. It is, nevertheless, the process of labor mobilization under capitalism that imparts to these distinctions their effective values.[71]

According to Wolf, racial categories were constructed and incorporated during the period of European mercantile expansion, and ethnic groupings during the period of capitalist expansion.[72]

Writing in 1977 about the usage of the term "ethnic" in the ordinary language of Great Britain and the United States, Wallman noted

The term "ethnic" popularly connotes "[race]" in Britain, only less precisely, and with a lighter value load. In North America, by contrast, "[race]" most commonly means color, and "ethnics" are the descendants of relatively recent immigrants from non-English-speaking countries. "[Ethnic]" is not a noun in Britain. In effect there are no "ethnics"; there are only "ethnic relations".[73]

In the U.S., the OMB says the definition of race as used for the purposes of the US Census is not "scientific or anthropological" and takes into account "social and cultural characteristics as well as ancestry", using "appropriate scientific methodologies" that are not "primarily biological or genetic in reference".[74]

Ethno-national conflict[edit]

Further information: Ethnic conflict

Sometimes ethnic groups are subject to prejudicial attitudes and actions by the state or its constituents. In the 20th century, people began to argue that conflicts among ethnic groups or between members of an ethnic group and the state can and should be resolved in one of two ways. Some, like Jürgen Habermas and Bruce Barry, have argued that the legitimacy of modern states must be based on a notion of political rights of autonomous individual subjects. According to this view, the state should not acknowledge ethnic, national or racial identity but rather instead enforce political and legal equality of all individuals. Others, like Charles Taylor and Will Kymlicka, argue that the notion of the autonomous individual is itself a cultural construct. According to this view, states must recognize ethnic identity and develop processes through which the particular needs of ethnic groups can be accommodated within the boundaries of the nation-state.

The 19th century saw the development of the political ideology of ethnic nationalism, when the concept of race was tied to nationalism, first by German theorists including Johann Gottfried von Herder. Instances of societies focusing on ethnic ties, arguably to the exclusion of history or historical context, have resulted in the justification of nationalist goals. Two periods frequently cited as examples of this are the 19th-century consolidation and expansion of the German Empire and the 20th century Nazi Germany. Each promoted the pan-ethnic idea that these governments were acquiring only lands that had always been inhabited by ethnic Germans. The history of late-comers to the nation-state model, such as those arising in the Near East and south-eastern Europe out of the dissolution of the Ottoman and Austro-Hungarian Empires, as well as those arising out of the USSR, is marked by inter-ethnic conflicts. Such conflicts usually occur within multi-ethnic states, as opposed to between them, as in other regions of the world. Thus, the conflicts are often misleadingly labeled and characterized as civil wars when they are inter-ethnic conflicts in a multi-ethnic state.

Ethnic groups by continent[edit]

Africa[edit]

Main article: List of ethnic groups of Africa

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Ethnic groups in Africa number in the hundreds, each generally having its own language (or dialect of a language) and culture.

Asia[edit]

Main articles: Ethnic groups in Asia, East Asian people, South Asian ethnic groups, Ethnic groups of Southeast Asia, and Ethnic groups in the Middle East

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Assyrians are one of the indigenous peoples of Northern Iraq.

Ethnic groups are abundant throughout Asia, with adaptations to the climate zones of Asia, which can be the Arctic, subarctic, temperate, subtropical or tropical. The ethnic groups have adapted to mountains, deserts, grasslands, and forests.

On the coasts of Asia, the ethnic groups have adopted various methods of harvest and transport. Some groups are primarily hunter-gatherers, some practice transhumance (nomadic lifestyle), others have been agrarian/rural for millennia and others becoming industrial/urban. Some groups/countries of Asia are completely urban, such as those in Hong Kong, Shanghai, and Singapore. The colonization of Asia was largely ended in the 20th century, with national drives for independence and self-determination across the continent.

In Indonesia alone, there are more than 1,300 ethnic groups recognized by the government, which are located on 17,000 islands in the Indonesian archipelago

Russia has more than 185 recognized ethnic groups besides the eighty percent ethnic Russian majority. The largest group is the Tatars, 3.8 percent. Many of the smaller groups are found in the Asian part of Russia (see Indigenous peoples of Siberia).

Europe[edit]

Main article: Ethnic groups in Europe

The Basques constitute an indigenous ethnic minority in both France and Spain.

Sámi family in Lapland of Finland, 1936

The Irish are an ethnic group from Ireland of which 70–80 million people worldwide claim ancestry.[75]

Europe has a large number of ethnic groups; Pan and Pfeil (2004) count 87 distinct "peoples of Europe", of which 33 form the majority population in at least one sovereign state, while the remaining 54 constitute ethnic minorities within every state they inhabit (although they may form local regional majorities within a sub-national entity). The total number of national minority populations in Europe is estimated at 105 million people or 14% of 770 million Europeans.[76]

A number of European countries, including France[77] and Switzerland, do not collect information on the ethnicity of their resident population.

An example of a largely nomadic ethnic group in Europe is the Roma, pejoratively known as Gypsies. They originated from India and speak the Romani language.

The Serbian province of Vojvodina is recognizable for its multi-ethnic and multi-cultural identity.[78][79] There are some 26 ethnic groups in the province,[80] and six languages are in official use by the provincial administration.[81]

North America[edit]

Main articles: Ethnic origins of people in Canada, Ethnic groups in Central America, Demographics of Greenland, Demographics of Mexico, Ethnic groups in the United States, Indigenous peoples of the Americas § North America, Native Americans in the United States, Indigenous peoples in Canada, Indigenous peoples of Mexico, and Caribbean people

The indigenous people in North America are Native Americans. During European colonization, Europeans arrived in North America. Most Native Americans died due to Spanish diseases and other European diseases such as smallpox during the European colonization of the Americas. The largest pan-ethnic group in the United States is White Americans. Hispanic and Latino Americans (Mexican Americans in particular) and Asian Americans have immigrated to the United States recently. In Mexico, most Mexicans are mestizo, a mixture of Spanish and Native American ancestry. Some Hispanic and Latino Americans living in the United States are not mestizos.[citation needed]

African slaves were brought to North America from the 16th to 19th centuries during the Atlantic slave trade. Many of them were sent to the Caribbean. Ethnic groups that live in the Caribbean are: indigenous peoples, Africans, Indians, white Europeans, Chinese and Portuguese. The first white Europeans to arrive in the Dominican Republic were the Spanish in 1492. The Caribbean was also colonized and discovered by the Portuguese, English, Dutch and French.[82]

A sizeable number of people in the United States have mixed-race identities. In 2021, the number of Americans who identified as non-Hispanic and more than one race was 13.5 million. The number of Hispanic Americans who identified as multiracial was 20.3 million.[83] Over the course of the 2010s decade, there was a 127% increase in non-Hispanic Americans who identified as multiracial.[83]

The largest ethnic groups in the United States are Germans, African Americans, Mexicans, Irish, English,

Americans, Italians, Poles, French, Scottish, Native Americans, Puerto Ricans, Norwegians, Dutch people, Swedish people, Chinese people, West Indians, Russians and Filipinos.[84]

In Canada, European Canadians are the largest ethnic group. In Canada, the indigenous population is growing faster than the non-indigenous population. Most immigrants in Canada come from Asia.[85]

South America[edit]

Main article: Ethnic groups in South America

The Founding of the Brazilian Fatherland, an 1899 allegorical painting depicting Brazilian statesman José Bonifácio de Andrada e Silva, one of the founding fathers of the country, with the flag of the Empire of Brazil and the three major ethnic groups in Brazil

In South America, although highly varying between regions, people are commonly mixed-race, indigenous, European, black African, and to a lesser extent also Asian.

Oceania[edit]

Main articles: Indigenous peoples of Oceania and Europeans in Oceania

Nearly all states in Oceania have majority indigenous populations, with notable exceptions being Australia, New Zealand and Norfolk Island, who have majority European populations.[86] States with smaller European populations include Guam, Hawaii and New Caledonia (whose Europeans are known as Caldoche).[87][88] Indigenous peoples of Oceania are Australian Aboriginals, Austronesians and Papuans, and they originated from Asia.[89] The Austronesians of Oceania are further broken up into three distinct groups; Melanesians, Micronesians and Polynesians.

Oceanic South Pacific islands nearing Latin America were uninhabited when discovered by Europeans in the 16th century, with nothing to indicate prehistoric human activity by Indigenous peoples of the Americas or Oceania.[90][91][92] Contemporary residents are mainly mestizos and Europeans from the Latin American countries whom administer them,[93] although none of these islands have extensive populations.[94] Easter Island are the only oceanic island politically associated with Latin America to have an indigenous population, the Polynesian Rapa Nui people.[95] Their current inhabitants include indigenous Polynesians and mestizo settlers from political administrators Chile, in addition to mixed-race individuals with Polynesian and mestizo/European ancestry.[95] The British overseas territory of Pitcairn Islands, to the west of Easter Island, have a population of approximately 50 people. They are mixed-race Euronesians who descended from an initial group of British and Tahitian settlers in the 18th century. The islands were previously inhabited by Polynesians; they had long abandoned Pitcairn by the time the settlers had arrived.[96] Norfolk Island, now an external territory of Australia, is also believed to have been inhabited by Polynesians prior to its initial European discovery in the 18th century. Some of their residents are descended from mixed-race Pitcairn Islanders that were relocated onto Norfolk due to overpopulation in 1856.[97]

The once uninhabited Bonin Islands, later politically integrated into Japan, have a small population consisting of Japanese mainlanders and descendants of early European settlers.[95] Archeological findings from the 1990s suggested there was possible prehistoric human activity by Micronesians prior to European discovery in the 16th century.[98]

Several political entities associated with Oceania are still uninhabited, including Baker Island, Clipperton Island, Howland Island and Jarvis Island.[99] There were brief attempts to settle Clipperton with Mexicans and Jarvis with Native Hawaiians in the early 20th century. The Jarvis settlers were relocated from the island due to Japanese advancements during World War II, while most of the settlers on Clipperton ended up dying from starvation and murdering one and other.[100]

Australia[edit]

Main articles: Indigenous Australians and Native white Australians

The first evident ethnic group to live in Australia were the Australian Aboriginals, a group considered related to the Melanesian Torres Strait Islander people. Europeans, primarily from England arrived first in 1770.

The 2016 Census shows England and New Zealand are the next most common countries of birth after Australia, the proportion of people born in China and India has increased since 2011 (from 6.0 per cent to 8.3 per cent, and 5.6 per cent to 7.4 per cent, respectively).

The proportion of people identifying as being of Aboriginal or Torres Strait Islander origin increased from 2.5 per cent of the Australian population in 2011 to 2.8 per cent in 2016.

See also[edit]

Society portal

Ancestor

Clan

Diaspora

Ethnic cleansing

Ethnic interest group

Ethnic flag

Ethnic nationalism

Ethnic penalty

Ethnocentrism

Ethnocultural empathy

Ethnogenesis

Ethnocide

Ethnographic group

Ethnography

Genealogy

Genetic genealogy

Homeland

Human Genome Diversity Project

Identity politics

Ingroups and outgroups

Intersectionality

Kinship

List of contemporary ethnic groups

List of countries by ethnic groups

List of indigenous peoples

Meta-ethnicity

Minority group

Minzu (anthropology)

Multiculturalism

Nation

National symbol

Passing (sociology)

Polyethnicity

Population genetics

Race (human categorization)

Race and ethnicity in censuses

Race and ethnicity in the United States Census

Race and health

Segmentary lineage

Stateless nation

Tribe

Y-chromosome haplogroups in populations of the world

References[edit]

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^ People, James; Bailey, Garrick (2010). Humanity: An Introduction to Cultural Anthropology (9th ed.). Wadsworth Cengage learning. p. 389. In essence, an ethnic group is a named social category of people based on perceptions of shared social experience or one's ancestors' experiences. Members of the ethnic group see themselves as sharing cultural traditions and history that distinguish them from other groups. Ethnic group identity has a strong psychological or emotional component that divides the people of the world into opposing categories of 'us' and 'them'. In contrast to social stratification, which divides and unifies people along a series of horizontal axes based on socioeconomic factors, ethnic identities divide and unify people along a series of vertical axes. Thus, ethnic groups, at least theoretically, cut across socioeconomic class differences, drawing members from all strata of the population.

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^ ἐθνικός Archived 2021-02-25 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus

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^ ἔθνος Archived 2021-02-24 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus

^ Oxford English Dictionary Second edition, online version as of 2008-01-12, "ethnic, a. and n.". Cites Sir Daniel Wilson, The archæology and prehistoric annals of Scotland 1851 (1863) and Huxley & Haddon (1935), We Europeans, pp. 136,181

^ Cohen, Ronald. (1978) "Ethnicity: Problem and Focus in Anthropology", Annu. Rev. Anthropol. 1978. 7:379–403; Glazer, Nathan and Daniel P. Moynihan (1975) Ethnicity – Theory and Experience, Cambridge, Massachusetts Harvard University Press.

The modern usage definition of the Oxford English Dictionary is:

a[djective]

...

2.a. About race; peculiar to a specific tribe, race or nation; ethnological. Also, about or having common tribal, racial, cultural, religious, or linguistic characteristics, esp. designating a racial or other group within a larger system; hence (U.S. colloq.), foreign, exotic.

b ethnic minority (group), a group of people differentiated from the majority of the community by racial origin or cultural background, and usu. claiming or enjoying official recognition of their group identity. Also attrib.

n[oun]

...

3 A member of an ethnic group or minority. Equatorians

(Oxford English Dictionary Second edition, online version as of 2008-01-12, s.v. "ethnic, a. and n.")

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^ ὁμότροπος Archived 2021-02-25 at the Wayback Machine, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus)

^ Herodotus, 8.144.2: "The kinship of all Greeks in blood and speech, and the shrines of gods and the sacrifices that we have in common, and the likeness of our way of life."

^ Athena S. Leoussi, Steven Grosby, Nationalism and Ethnosymbolism: History, Culture, and Ethnicity in the Formation of Nations, Edinburgh University Press, 2006, p. 115

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^ J. Hutchinson & A.D. Smith (eds.), Oxford readers: Ethnicity (Oxford 1996), "Introduction", 8–9

^ Gellner, Ernest (1983) Nations and Nationalism. Oxford: Blackwell.

^ Ernest Gellner (1997) Nationalism. London: Weidenfeld & Nicolson.

^ Smith, Anthony D. (1986) The Ethnic Origins of Nations. Oxford: Blackwell.

^ Anthony Smith (1991) National Identity. Harmondsworth: Penguin.

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^ Banton, Michael. (2007) "Weber on Ethnic Communities: A critique", Nations and Nationalism 13 (1), 2007, 19–35.

^ a b c d e Ronald Cohen 1978 "Ethnicity: Problem and Focus in Anthropology", Annual Review of Anthropology 7: 383–384 Palo Alto: Stanford University Press

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^ Vincent, Joan (1974), "The Structure of Ethnicity" in Human Organization 33(4): 375–379

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^ (Smith 1999, pp. 4–7)

^ Hobsbawm and Ranger (1983), The Invention of Tradition

^ Sider 1993 Lumbee Indian Histories.

^ Kolb, Eva (2009). The Evolution of New York City's Multiculturalism: Melting Pot or Salad Bowl. BoD – Books on Demand. ISBN 978-3837093032.

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^ Camoroff, John L. and Jean Camoroff 2009: Ethnicity Inc. Chicago: Chicago Press.

^ The Invention of Tradition

^ Sider 1993 Lumbee Indian Histories

^ O'Neil, Dennis. "Nature of Ethnicity". Palomar College. Archived from the original on 5 December 2012. Retrieved 7 January 2013.

^ Seidner, (1982), Ethnicity, Language, and Power from a Psycholinguistic Perspective, pp. 2–3

^ Smith 1987 pp. 21–22

^ Omi & Winant 1986, p. 15

^ Omi & Winant 1986, p. 58

^ a b c Omi & Winant 1986, p. 17

^ Omi & Winant 1986, p. 19

^ a b Omi & Winant 1986, p. 21

^ Gellner 2006 Nations and Nationalism Blackwell Publishing

^ Anderson 2006 Imagined Communities Version

^ Walter Pohl, "Conceptions of Ethnicity in Early Medieval Studies", Debating the Middle Ages: Issues and Readings, ed. Lester K. Little and Barbara H. Rosenwein, (Blackwell), 1998, pp 13–24, notes that historians have projected the 19th-century conceptions of the nation-state backward in time, employing biological metaphors of birth and growth: "that the peoples in the Migration Period had little to do with those heroic (or sometimes brutish) clichés is now generally accepted among historians", he remarked. Early medieval peoples were far less homogeneous than often thought, and Pohl follows Reinhard Wenskus, Stammesbildung und Verfassung. (Cologne and Graz) 1961, whose researches into the "ethnogenesis" of the German peoples convinced him that the idea of common origin, as expressed by Isidore of Seville Gens est multitudo ab uno principio orta ("a people is a multitude stemming from one origin") which continues in the original Etymologiae IX.2.i) "sive ab Alia national Secundum program collection distinct ("or distinguished from another people by its properties") was a myth. Archived 2015-04-23 at the Wayback Machine.

^ Aihway Ong 1996 "Cultural Citizenship in the Making" in Current Anthropology 37(5)

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^ Nira Yuval-Davis, Gender & Nation (London: SAGE Publications Ltd, 1997) pp. 12–13

^ Floya Anthias and Nira Yuval-Davis "Woman–Nation-State" (London: Macmillan, 1989), p. 9

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^ A. Metraux (1950) "United Nations Economic and Security Council Statement by Experts on Problems of Race", American Anthropologist 53(1): 142–145)

^ Griffith, David Craig, Jones's minimal: low-wage labor in the United States, State University of New York Press, Albany, 1993, p.222

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^ Aldrich, Robert (1993). France and the South Pacific Since 1940. University of Hawaii Press. p. 347. ISBN 978-0824815585. Archived from the original on 30 July 2022. Retrieved 18 February 2022. Britain's high commissioner in New Zealand continues to administer Pitcairn, and the other former British colonies remain members of the Commonwealth of Nations, recognizing the British Queen as their titular head of state and vesting certain residual powers in the British government or the Queen's representative in the islands. Australia did not cede control of the Torres Strait Islands, inhabited by a Melanesian population, or Lord Howe and Norfolk Island, whose residents are of European ancestry. New Zealand retains indirect rule over Niue and Tokelau and has kept close relations with another former possession, the Cook Islands, through a compact of free association. Chile rules Easter Island (Rapa Nui) and Ecuador rules the Galapagos Islands. The Aboriginals of Australia, the Maoris of New Zealand and the native Polynesians of Hawaii, despite movements demanding more cultural recognition, greater economic and political considerations or even outright sovereignty, have remained minorities in countries where massive waves of migration have completely changed society. In short, Oceania has remained one of the least completely decolonized regions on the globe.

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^ Flett, Iona; Haberle, Simon (2008). "East of Easter: Traces of human impact in the far-eastern Pacific" (PDF). In Clark, Geoffrey; Leach, Foss; O'Connor, Sue (eds.). Islands of Inquiry. ANU Press. pp. 281–300. CiteSeerX 10.1.1.593.8988. hdl:1885/38139. ISBN 978-1921313899. JSTOR j.ctt24h8gp.20. Archived (PDF) from the original on 2021-12-31. Retrieved 2022-03-26.

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Further reading[edit]

Barth, Fredrik (ed). Ethnic groups and boundaries. The social organization of culture difference, Oslo: Universitetsforlaget, 1969

Billinger, Michael S. (2007), "Another Look at Ethnicity as a Biological Concept: Moving Anthropology Beyond the Race Concept" Archived 2009-07-09 at the Wayback Machine, Critique of Anthropology 27, 1:5–35.

Craig, Gary, et al., eds. Understanding 'race' and ethnicity: theory, history, policy, practice (Policy Press, 2012)

Danver, Steven L. Native Peoples of the World: An Encyclopedia of Groups, Cultures and Contemporary Issues (2012)

Eriksen, Thomas Hylland (1993) Ethnicity and Nationalism: Anthropological Perspectives, London: Pluto Press

Eysenck, H.J., Race, Education and Intelligence (London: Temple Smith, 1971) (ISBN 0851170099)

Healey, Joseph F., and Eileen O'Brien. Race, ethnicity, gender, and class: The sociology of group conflict and change (Sage Publications, 2014)

Hobsbawm, Eric, and Terence Ranger, editors, The Invention of Tradition. (Cambridge: Cambridge University Press, 1983).

Kappeler, Andreas. The Russian empire: A multi-ethnic history (Routledge, 2014)

Levinson, David, Ethnic Groups Worldwide: A Ready Reference Handbook, Greenwood Publishing Group (1998), ISBN 978-1573560191.

Magocsi, Paul Robert, ed. Encyclopedia of Canada's Peoples (1999)

Morales-Díaz, Enrique; Gabriel Aquino; & Michael Sletcher, "Ethnicity", in Michael Sletcher, ed., New England, (Westport, CT, 2004).

Omi, Michael; Winant, Howard (1986). Racial Formation in the United States from the 1960s to the 1980s. New York: Routledge and Kegan Paul, Inc.

Seeger, A. 1987. Why Suyá Sing: A Musical Anthropology of an Amazonian People, Cambridge, Cambridge University Press.

Sider, Gerald, Lumbee Indian Histories (Cambridge University Press, 1993).

Smith, Anthony D. (1987), The Ethnic Origins of Nations, Blackwell

Smith, Anthony D. (1998). Nationalism and modernism. A Critical Survey of Recent Theories of Nations and Nationalism. Routledge.

Smith, Anthony D. (1999), Myths and memories of the Nation, Oxford University Press

Steele, Liza G.; Bostic, Amie; Lynch, Scott M.; Abdelaaty, Lamis (2022). "Measuring Ethnic Diversity". Annual Review of Sociology. 48 (1).

Thernstrom, Stephan A. ed. Harvard Encyclopedia of American Ethnic Groups (1981)

^ U.S. Census Bureau State & County QuickFacts: Race.

External links[edit]

Look up ethnicity, ethnic, nationality, or nation in Wiktionary, the free dictionary.

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Origin of ethnic groups, linguistic families, and civilizations in China viewed from the Y chromosome | Molecular Genetics and Genomics

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Molecular Genetics and Genomics

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Origin of ethnic groups, linguistic families, and civilizations in China viewed from the Y chromosome

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Published: 26 May 2021

Volume 296, pages 783–797, (2021)

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Molecular Genetics and Genomics

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Xueer Yu1,2 & Hui Li 

ORCID: orcid.org/0000-0002-7642-215X1,2 

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AbstractEast Asia, geographically extending to the Pamir Plateau in the west, to the Himalayan Mountains in the southwest, to Lake Baikal in the north and to the South China Sea in the south, harbors a variety of people, cultures, and languages. To reconstruct the natural history of East Asians is a mission of multiple disciplines, including genetics, archaeology, linguistics, and ethnology. Geneticists confirm the recent African origin of modern East Asians. Anatomically modern humans arose in Africa and immigrated into East Asia via a southern route approximately 50,000 years ago. Following the end of the Last Glacial Maximum approximately 12,000 years ago, rice and millet were domesticated in the south and north of East Asia, respectively, which allowed human populations to expand and linguistic families and ethnic groups to develop. These Neolithic populations produced a strong relation between the present genetic structures and linguistic families. The expansion of the Hongshan people from northeastern China relocated most of the ethnic populations on a large scale approximately 5300 years ago. Most of the ethnic groups migrated to remote regions, producing genetic structure differences between the edge and center of East Asia. In central China, pronounced population admixture occurred and accelerated over time, which subsequently formed the Han Chinese population and eventually the Chinese civilization. Population migration between the north and the south throughout history has left a smooth gradient in north–south changes in genetic structure. Observation of the process of shaping the genetic structure of East Asians may help in understanding the global natural history of modern humans.

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Download referencesFundingThis work was supported by B&R Joint Laboratory of Eurasian Anthropology (18490750300), the National Key R&D Program of China (2020YFE0201600), and the National Natural Science Foundation of China (91731303, 31671297). The European Research Council project (ERC-2019-AdG-TRAM-883700).Author informationAuthors and AffiliationsMOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, ChinaXueer Yu & Hui LiShanxi Academy of Advanced Research and Innovation, Fudan-Datong Institute of Chinese Origin, Datong, 037006, ChinaXueer Yu & Hui LiAuthorsXueer YuView author publicationsYou can also search for this author in

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Ethnic Classification in Global Perspective: A Cross-National Survey of the 2000 Census Round

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Ethnic Classification in Global Perspective: A Cross-National Survey of the 2000 Census Round

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AbstractMany if not most countries around the world categorize their inhabitants by race, ethnicity and/or national origins when it comes time to conduct a census. In an unpublished survey of census questionnaires, the United Nations found that 65 % enumerated their populations by national or ethnic group (United Nations Statistics Division 2003). However, this statistic encompasses a wide diversity of approaches to ethnic classification, as evinced by the spectrum of terms employed; ‘race,’ ‘ethnic origin,’ ‘nationality,’ ‘ancestry’ and ‘indigenous,’ ‘tribal’ or ‘aboriginal’ group all serve to draw distinctions within the national population. The picture is further complicated by the ambiguity of the meanings of these terms: what is called ‘race’ in one country might be labelled ‘ethnicity’ in another, while ‘nationality’ means ancestry in some contexts and citizenship in others. Even within the same country, one term can take on several connotations, or several terms may be used interchangeably.KeywordsNational CensusIndigenous GroupIndigenous StatusEthnic NationalityUnited Nation Statistical DivisionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.Abridged from the article published in Population Research and Policy Review, 27(2), p. 239–272, 2008.

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1 IntroductionMany if not most countries around the world categorize their inhabitants by race, ethnicity and/or national origins when it comes time to conduct a census. In an unpublished survey of census questionnaires, the United Nations found that 65 % enumerated their populations by national or ethnic group (United Nations Statistics Division 2003). However, this statistic encompasses a wide diversity of approaches to ethnic classification, as evinced by the spectrum of terms employed; ‘race,’ ‘ethnic origin,’ ‘nationality,’ ‘ancestry’ and ‘indigenous,’ ‘tribal’ or ‘aboriginal’ group all serve to draw distinctions within the national population. The picture is further complicated by the ambiguity of the meanings of these terms: what is called ‘race’ in one country might be labelled ‘ethnicity’ in another, while ‘nationality’ means ancestry in some contexts and citizenship in others. Even within the same country, one term can take on several connotations, or several terms may be used interchangeably.This article surveys the approaches to ethnic enumeration that 141 nations took on their 1995–2004 (or ‘2000 round’) censuses. Using a unique data set compiled by the United Nations Statistical Division, this research identifies several dimensions along which classification practices vary. Specifically, I address three research questions:

1.

How widespread is census enumeration by ethnicity, in global terms?

2.

Among national censuses that do enumerate by ethnicity, what approaches do they take, in terms of both their question and answer formats?

3.

What geographic patterns, if any, do ethnic enumeration practices follow?

2 Classification by EthnicityThis chapter uses a broad definition of ‘ethnic enumeration’ that includes census references to a heterogeneous collection of terms (e.g., ‘ethnic group,’ ‘race,’ ‘people,’ ‘tribe’), which indicate a contemporary yet somewhat inchoate sense of origin-based ‘groupness.’ Despite the fluidity between the conceptual borders of ethnicity, race and nationality, at their cores they share a common connotation of ancestry or ‘community of descent’ (Hollinger 1998). Each concept relies on a different type of proof or manifestation of those shared roots – ethnicity discerns it in cultural practices or beliefs (e.g., dress, language, religion), race in perceived physical traits, and nationality through geographic location – yet they all aim to convey an accounting of origins or ancestry. As a result, in the research to be described I have included all three of these terms – and others – as indicators of one underlying concept of origins. For this umbrella concept I use the label ‘ethnicity’ rather than ‘ancestry,’ however, to emphasize the immediacy that such categories can have when individuals identify themselves. As Alba (1990: 38) points out, ancestry involves beliefs about one’s forebears, while ethnicity is a matter of ‘beliefs directly about oneself.’ He illustrates the difference as being one between the statements, ‘My great-grandparents came from Poland’ (ancestry) versus ‘I am Polish’ (ethnicity).Identifying a core meaning shared by varied ethnicity-related terms makes possible a global comparative study of ethnic categorization. Previous academic comparisons of census ethnic enumeration have usually included only a few national cases, as part of an intensive examination of the social, historical and political factors behind diverse classificatory regimes (e.g., Kertzer and Arel 2002a; Nobles 2000). And the broader surveys available are generally either regional (e.g., Almey et al. 1992), not based on systematic samples (e.g., Rallu et al. 2004; Statistics Canada and U.S. Census Bureau 1993), or focused on informal conventions rather than official categorization schemes (e.g., Wagley 1965). As a result, no comprehensive international analysis of formal ethnic enumeration approaches precedes this study. One of the fundamental contributions made here is thus an empirical one, in the form of a profile of ethnic enumeration worldwide and typology of such practices.Providing information about a large sample of contemporary national censuses is also a major step forward for theory-building about the origins of different classificatory systems. Collecting data on the dependent variable of classification type suggests important features to measure and eventually to explain. Rallu et al. (2004) exemplify the possibilities of such an analysis by proposing four types of governmental approach to ethnic enumeration:

1.

Enumeration for political control (compter pour dominer)

2.

Non-enumeration in the name of national integration (ne pas compter au nom de l’intégration nationale)

3.

Discourse of national hybridity (compter ou ne pas compter au nom de la mixité)

4.

Enumeration for antidiscrimination (compter pour justifier l’action positive)

Rallu et al. (2004) identify colonial census administration with the first category, as well as related examples such as apartheid-era South Africa, the Soviet Union and Rwanda. In these cases, ethnic categories form the basis for exclusionary policies. In the second category, where ethnic categories are rejected in order to promote national unity, western European nations such as France, Germany and Spain are prominent. The third category is largely associated with Latin American countries, where governments take different decisions about whether to enumerate by ethnicity, but a broader discourse praising interethnic mixture or hybridity is not uncommon. The final category is illustrated with examples from Latin America (e.g., Brazil, Colombia) and Asia (China), but the principal cases discussed here are those of England, Canada and the United States, where ethnic census data serve as tools in combating discrimination. Despite the number of regions that Rallu et al. (2004) take into account, however, their conclusions are drawn from a limited set of countries rather than the complete international pool. As a result, the four-part schema they identify might be altered if a wider sample of national censuses were considered.Another element that is missing from the existing literature on ethnic enumeration is comparative content analysis of the language of census ethnicity items. The studies previously described generally focus on the question of which political motives result in the presence or absence of an ethnic question on a national census. They do not delve into the details of the precise format of the question. But such nuances offer particular applied interest for demographers and other census officials. Maintaining that such technical information is of use for the architects of population censuses, this chapter investigates what terminology is used in different countries (e.g., ‘race’ or ‘nationality’?), how the request for information is framed, and what options are given to respondents in formulating their answer. In this way, the project may suggest alternative approaches to implement when census forms are being redesigned and offer a basis for weighing the relative strengths and weaknesses of diverse formats.3 Data and MethodologyAs publisher of the annual Demographic Yearbook, the United Nations Statistical Division (UNSD) regularly collects international census information, including both questionnaire forms and data results. For the 2000 round (i.e., censuses conducted from 1995 through 2004), UNSD drew up a list of 231 nations and territories from which to solicit census materials. As of June 2005, this researcher located 141 national questionnaires in the UNSD collection and elsewhere (i.e., from 61 % of the countries listed) and calculated that 30 nations (13 %) had not scheduled a census in that round. Therefore questionnaires were missing from 60 countries (26 % of the original list, or 30 % of the 201 countries expected to have conducted a census within the 2000 round).The gaps in the resultant database’s coverage of international census-taking were not spread randomly across the globe, as Table 2.1 shows. The nations of Europe were best-represented in the collection, as all of the 2000 census round questionnaires available have been located. Next came Asia (including the Middle East), for which 80 % of the available questionnaires have been obtained, followed by South America and Oceania (79 % each), North America (at 51 %, including Central America and the Caribbean), and Africa (42 %). One effect of this uneven coverage is that African countries, which would make up 22 % of the sample and the second-largest regional bloc after Asia if all its 1995–2004 censuses were included, contribute only 13 % to the final sample of national census questionnaires studied. More generally, the variation in coverage suggests that while the results to be described can be considered a good representation of enumeration in Europe, Asia, South America and Oceania, this is not the case for discussion of North (and Central) America or of Africa. Moreover, the country-level data below do not indicate what percentage of the world’s population is covered by the census regimes studied here; findings are not weighted by national population in this inquiry.Table 2.1 Countries included in studyFull size table

Each census form available was checked for questions about respondents’ ‘race,’ ‘ethnicity,’ ‘ancestry,’ ‘nationality’ or ‘national origins,’ ‘indigenous’ or ‘aboriginal’ status – in short, any terminology that indicated group membership based on descent. Although language, religion and legal citizenship questions also appear frequently on national censuses and may be interpreted as reflections of ethnic affiliation, I do not include such indirect references to ancestry. (Consider for example how poor an indicator of ethnicity ‘Native English Speaker’ status would be in a multicultural society like the United States.) When an ethnicity item as defined above appeared on a census, both the question text and response categories or format were entered verbatim into a database. Translations into English were provided by national census authorities, United Nations staff, the author and others for all but three questionnaires, resulting in a final sample of 138 censuses.4 Findings4.1 Frequency of Ethnic EnumerationAmong the 138 national census questionnaires analyzed, 87 countries or 63 % employed some form of ethnic census classification (see Appendix for complete listing). As Table 2.2 shows, North America, South America and Oceania were the regions with the greatest propensity to include ethnicity on their censuses. While Asia’s tendency to enumerate by ethnicity was close to the sample average, both Europe and Africa were much less likely to do so. This regional variation may be explained by Rallu et al’s. (2004) hypothesis that concern about the preservation of national unity leads some countries to forgo ethnic enumeration. The tendency toward ethnic counting in the Americas also suggests, however, that societies whose populations are largely descended from relatively recent settlers (voluntary or involuntary) are most likely to characterize their inhabitants in ethnic terms. As Bean and Tienda (1987: 34–35) wrote of the United States, ‘an ethnic group is created by the entry of an immigrant group into…society.’Table 2.2 Share of countries studied using ethnic enumeration, by regionFull size table

4.2 Census Ethnicity Questions4.2.1 Terminology and Geographic DistributionNot only do nations and regions vary in their censuses’ inclusion of ethnicity items, but they also employ widely differing terminology for such questions. In 49 of the 87 cases of ethnic enumeration (56 %), the terms ethnicity or ethnic (or their foreign-language cognates like ‘ethnicité’ and ‘étnico’) were used. This terminology was found on censuses from every world region. Often the term was combined with others for clarification, as in: ‘Caste/Ethnicity’ (Nepal); ‘cultural and ethnic background’ (Channel Islands/Jersey); ‘grupo étnico (pueblo)’ (Guatemala); ‘Ethnic/Dialect Group’ (Singapore); ‘Ethnic nationality’ (Latvia); and ‘race or ethnic group’ (Jamaica). Overall, nine different terms or concepts appeared in census ethnicity questions; Table 2.3 lists them in descending order of frequency. The table also distinguishes between ‘primary’ terms (i.e., first to appear if more than one term is used in one or more questions) and ‘secondary,’ or following, terms. For example, in the Nepal example above, caste was recorded as the primary term and ethnicity as a secondary term.Table 2.3 Terminology of census ethnicity questionsFull size table

As Table 2.3 shows, the second most frequent term after ethnicity was nationality, used by 20 nations (or 23 %). Here nationality denoted origins rather than current legal citizenship status. This distinction was made clear in most cases either by the presence on the census questionnaire of a separate question for citizenship (e.g., Romania, Tajikistan) or by the use of the adjective ‘ethnic’ to create the term ‘ethnic nationality’ (Estonia). However, I also include in this category census items that combined ethnicity and nationality by using a single question to identify either citizens’ ethnicity or non-citizens’ nationality. For example, the Senegalese question ran, ‘Ethnie ou nationalité: Inscrivez l’ethnie pour les Sénégalais et la nationalité pour les étrangers’ [Ethnicity or nationality: Write down ethnicity for Senegalese and nationality for foreigners].References to nationality as ethnic origin came largely from Eastern European nations (e.g., Poland, Romania) and Asian countries of the former Soviet Union such as Tajikistan, Turkmenistan and Uzbekistan (see Table 2.4). This regional concentration reflects a number of historical factors. First, twentieth century (and earlier) movements of both political borders and people in Eastern Europe left groups with allegiances to past or neighbouring governments situated in new or different states (Eberhardt 2003). Second, this reinforced existing Romantic notions of nations as corresponding to ethnic communities of descent (Kertzer and Arel 2002b). Finally, the Soviet Union’s practice of identifying distinct nationalities within its borders extended the equation of nationality with ethnic membership (Blum and Gousseff 1996).Table 2.4 Census ethnicity terminology by regionFull size table

Roughly 15 % of the national censuses asked about respondents’ indigenous status. These cases came from North America (e.g., Mexico: ‘¿[Name] pertenece a algún grupo indígena?’; [Does [name] belong to an indigenous group?], South America (e.g., Venezuela: ‘¿Pertenece usted a algún grupo indígena?’; [Do you belong to an indigenous group?], Oceania (e.g., Nauru: ‘family’s local tribe’), and Africa (Kenya: ‘Write tribe code for Kenyan Africans’). Indigeneity seems to serve as a marker largely in nations that experienced European colonialism, where it distinguishes populations that ostensibly do not have European ancestry (separating them from mestizos, for example, in Mexico) or who inhabited the territory prior to European settlement. The indigenous status formulation was not found on any European or Asian censuses.The same number of countries (13, or 15 % of all censuses using some form of ethnic enumeration) asked for respondents’ race, but this term was three times more likely to appear as a secondary term than as a primary one. For example, the Brazilian question placed race after colour (‘A sua cor o raça e:’), and Anguilla used race to modify ethnicity: ‘To what ethnic/racial group does [the person] belong?’. Race usage was largely confined to North America (including Central America and the Caribbean), as well as to United States territories in Oceania (American Samoa, Federated States of Micronesia, Guam, Northern Mariana Islands). More specifically, census usage of race is found almost entirely in the former slaveholding societies of the Western Hemisphere and their territories. Of the 13 countries studied that enumerate by race, 11 are either New World former slave societies (United States, Anguilla, Bermuda, Brazil, Jamaica and Saint Lucia) and/or their territories (United States Virgin Islands, Puerto Rico, American Samoa, Guam, and Northern Mariana Islands).Table 2.4 summarizes the geographic patterns in usage of the four most frequent ethnic terms found on national census questionnaires. Reference to ethnicity is most prevalent in Oceania and least prevalent in South America, whereas nationality is found on more than half of the European censuses but on none in the Americas. Conversely, references to indigenous status or ‘tribe’ reach their peak in South America, but are absent on European and Asian censuses. Similarly, race is not found on European or Asian censuses, but appears on almost half of those used in North America (which includes Central America and the Caribbean). Still, in all regions ethnicity remains the most frequent term used, with the exception of South America, where references to indigenous status appear twice as often as those to ethnicity. Together, the four most frequent terms – ethnicity, nationality, indigenous group and race – appear on 90 % of the censuses that enumerate by ethnicity.4.2.2 The Language of Census Ethnicity Questions: The Subjectivity of IdentityCensus ethnicity questions vary considerably not just in their terminology but also in the language they use to elicit respondents’ identities. In particular, census questionnaires differ noticeably in their recognition of ethnicity as a matter of subjective belief, as opposed to objective fact. Twelve (or 14 %) of the 87 countries that practice ethnic enumeration treat it as a subjective facet of identity by asking respondents what they ‘think,’ ‘consider,’ or otherwise believe themselves to be. Examples come from every world region. Saint Lucia’s census asks, ‘To what ethnic group do you think [the person] belongs?’ (emphasis added) rather than simply, ‘To what ethnic, racial or national group does [the person] belong?’ The same explicitly subjective formulation is found on the census questionnaires of New Caledonia (‘A laquelle des communautés suivantes estimez-vous appartenir?’ [To which of the following communities do you think you belong?]), and Paraguay (‘¿Se considera perteneciente a una étnia indígena?’; [Do you consider yourself as belonging to an indigenous ethnic group?]), for example (emphases mine).In addition to the recognition of the subjectivity of identity through references to respondents’ beliefs, these censuses achieve the same end by emphasizing the personal, self-selected aspect of ethnicity; it is what the individual says it is, not the product of an objective external measurement. Accordingly, the individual respondent’s choice is paramount here, as in the Philippines’ question, ‘How does [the person] classify himself/herself?’ or Bermuda’s ‘In your opinion, which of the following best describes your ancestry?’ South Africa’s census asks, ‘How would (the person) describe him/herself in terms of population group?’ while Jamaica asks, ‘To which race or ethnic group would you say you/… belong(s)?’, both questions employing the conditional tense. Deference to the individual’s choice of self-recognition is found in non-English formulations as well, such as Argentina’s ‘¿Existe en este hogar alguna persona que se reconozca descendiente o perteneciente a un pueblo indígena?’ [Is there someone in this household who considers him/herself a descendant of or belonging to an indigenous people?], or Suriname’s ‘Tot welke etnische groep rekent deze persoon zichzelf?’ (With which ethnic group does this person identify him/herself?). Peru’s census question even lays out the basis on which individuals might construct their ethnic identity, asking ‘¿Por sus antepasados y de acuerdo a sus costumbres Ud. se considera:…’ [Given your ancestors and traditions, you consider yourself…].Many of these examples also illustrate another strategy of recognizing the subjectivity of identity, and that is the reference to ethnic groups as something with which one is affiliated, as opposed to the more total ethnicity as something that one is. The difference between an essential being ethnic and a constructed belonging to an ethnicity can be illustrated by juxtaposing the question ‘What is your ethnic group?’ (United Kingdom) against ‘To what ethnic group do you belong?’ (Guyana). The difference is subtle, yet it marks a distinction between a more essentialist concept of ethnicity as objectively given, and a more constructionist understanding of ethnicity as socially and thus subjectively developed. In addition to the 14 % of the national censuses studied that presented ethnicity as subjective in the ways previously described, another 21 % (18 countries) used the concept of belonging (appartenir in French, pertenecer in Spanish) in the formulation of their ethnicity question. Again, this approach was found on censuses from every world region.It is clear however that in the majority of cases, census ethnicity questions were brief and direct, simply treating ethnicity as an objective individual characteristic to be reported. Some did not in fact include a question, merely a title (e.g., ‘Ethnic Group,’ Bulgaria). However, it should be noted that three national censuses from Eastern Europe indicated that it was not obligatory to respond to the ethnicity question, ostensibly due to its sensitive nature. Croatia’s census notes ‘person is not obliged to commit himself/herself,’ Slovenia’s reads, ‘You don’t have to answer this question if you don’t wish to,’ and Hungary adds, ‘Answering the following questions is not compulsory!’4.3 Answering the Ethnicity Question4.3.1 Response FormatsTurning now to the structuring of response options for ethnicity questions, the national censuses studied employed three types of answer format:

1.

Closed-ended responses (e.g., category checkboxes; code lists)

2.

Closed-ended with open-ended ‘Other’ option (i.e., permitting the respondent to write in a group name not included on the list presented)

3.

Open-ended (i.e., write-in blanks)

The three approaches were used in nearly equal proportions among the 87 countries employing ethnic enumeration: 32 (37 %) used the entirely closed-ended approach, 28 (32 %) the mixed approach, and 27 (31 %) permitted respondents to write in whatever ethnic identity they chose.The closed-ended approach generally took two forms: either a limited number of checkbox category options, or the request to select a code from a list of ethnic groups assigned to codes. The former strategy can be found, for example, on the Brazilian census, which gave respondents five options to choose from to identify their ‘colour or race’: (1) Branca (white); (2) Preta (black or dark brown); (3) Parda (brown or light brown); (4) Amarela (yellow); (5) Indigena (indigenous). This listing of five categories is a relatively brief one; another such example is Romania’s series of ‘nationality’ answers: (1) Romanian; (2) Hungarian; (3) Gypsy/Roma; (4) German and (5) Other. At the other end of the spectrum, Guatemala offered a list of 22 indigenous groups plus Garifuna and Ladino, and Argentina and Paraguay each presented a list of 17 indigenous groups for selection by the respondent. However, the second type of closed-ended format – the linking of ethnic groups to code numbers – permitted respondents to select from an even longer list of choices; Laos offered 48 such code options. Other countries to use the code-list strategy were Ghana, Kenya, Malaysia, the Philippines and India.An even wider range of responses was possible on the censuses that featured the combination of closed-ended categories with a fill-in blank for the ‘Other’ option alone. After giving respondents six options to choose from – Estonian, Ukrainian, Finnish, Russian, Belorussian and Latvian – the Estonian census requested that individuals choosing the seventh ‘Other’ box write in their specific ‘ethnic nationality.’ In Mongolia, respondents either identified with the Khalkh option or wrote in their ethnicity. Singapore listed 13 possibilities for ‘ethnic/dialect group’ – Hokkien, Teochew, Cantonese, Hakka (Khek), Hainanese, Malay, Boyanese, Javanese, Tamil, Filipino, Thai, Japanese and Eurasian – before requesting specification from anyone selecting the last, ‘Others’ option.In the last, entirely open-ended strategy, respondents were simply asked to ‘write in’ (Senegal) or ‘provide the name of’ (China) their ethnic group. This approach may not always offer the respondent as much latitude as it appears, however. In nations where one’s ethnic affiliation is firmly fixed in other official records (e.g., mandatory identity documents), individuals may not choose freely from an unlimited range of identities so much as they reproduce the label that has already been assigned to them by state bureaucracies.Although the sample of censuses studied was fairly evenly divided across the three types of ethnic response format, each world region generally favoured one approach more than the others. Table 2.5 shows that in South America and Africa, the closed-ended approach was taken by about two thirds of the national censuses, whereas roughly the same share in Europe used the mixed approach, and about two thirds of Asian censuses relied on the open-ended strategy.Table 2.5 Census ethnicity response formats by regionFull size table

In addition to geographic distribution, census ethnicity response formats also vary depending on whether the terminology in use is ethnicity, nationality, indigenous status/tribe, or race (see Table 2.6). In particular, questions on nationality are most likely to permit some kind of write-in response, while those inquiring about indigenous status and race are the least likely to do so. The first finding may reflect the expectation that fairly few national origins are likely to be elicited and thus an open-ended approach is not likely to become unwieldy. The second finding may reflect governmental tendencies to develop official lists of indigenous and racial groups that are formally recognized by the state, coupled with a sense of necessity to assign all respondents to such predetermined indigenous or racial groups. In addition, popular conceptions of these identities may depict them as involving a limited number of categories (such as ‘black,’ ‘white,’ and ‘yellow’ colour groupings) or even simple dichotomies (e.g., indigenous versus non-indigenous).Table 2.6 Census ethnicity response formats by question typeFull size table

4.3.2 Response OptionsCensus response formats for ethnicity vary in other ways worth noting:(a.) Mixed or Combined Categories. Several census questionnaires permit the respondent to identify with more than one ethnicity. This flexibility takes three forms. First, some censuses allow the respondent to check off more than one category (e.g., Channel Islands – Jersey; Canada; New Zealand; United States; U.S. Virgin Islands). Other census questionnaires offer a generic mixed-ethnicity response option (e.g., ‘Mixed’: Channel Islands – Jersey, Saint Lucia, Anguilla, Guyana, Zimbabwe, Trinidad and Tobago, Jamaica, Mozambique, Solomon Islands, Suriname; ‘Mestizo’: Belize, Peru; ‘Coloured’ in South Africa). Finally, some censuses specify exact combinations of interest, for example: ‘White and Black Caribbean,’ ‘White and Black African,’ etc. in the United Kingdom; ‘Black and White,’ ‘Black and Other,’ etc. in Bermuda; ‘Part Cook Island Maori,’ Cook Islands; ‘Eurasian,’ Singapore; ‘Part Ni-Vanuatu,’ Vanuatu; ‘Part Tokelauan/Samoan,’ ‘Part Tokelauan/Tuvaluan,’ etc., Tokelau; ‘Part Tongan,’ Tonga; and ‘Part Tuvaluan’ in Tuvalu.(b.) Overlap between ethnic, national, language and other response categories. The conceptual proximity between such concepts as ethnicity and nationality is illustrated once again by some censuses’ use of the same set of response categories to serve as answers to distinct questions on ethnicity, nationality, or language. For example, the Bermudan census response category ‘Asian’ can be selected when responding either to the race or the ‘ancestry’ question. An even more striking example comes from Hungary, where the same detailed list of categories serves as the response options to three separate questions (one each for nationality, culture and language). The options are: Bulgarian; Gipsy (Roma); Beas; Romani; Greek; Croatian; Polish; German; Armenian; Roumanian; Ruthenian; Serbian; Slovakian; Slovenian; Ukrainian; Hungarian, and ‘Do not wish to answer.’ Moldova also uses the same responses for three questions (one each on citizenship, nationality and language), while Estonia and Poland use the same categories for their citizenship and ethnic nationality questions, and Latvia, Romania, and Turkmenistan use the same response options for nationality and language questions.It is also worth recalling that even when only one ethnicity question appears on a census with one set of response options, the answer categories themselves may reference multiple concepts such as race and nationality. The United States’ race question, which includes answers like ‘white’ and ‘black’ alongside national or ethnic designations like ‘Korean’ and ‘Japanese,’ provides a good example. Similarly, Saint Lucia and Guyana’s ethnicity options include races like ‘black’ and ‘white’ alongside national designations like ‘Chinese’ and ‘Portuguese.’Nationality and ethnicity are also intertwined on censuses that use a single question to ask respondents for ethnicity if they are citizens, but for something else if they are foreigners. For example, Indonesia requests, ‘If the respondent is a foreigner, please specify his/her citizenship and if the respondent is an Indonesian, please specify his/her ethnicity.’ Kenya’s ethnicity question reads, ‘Write tribe code for Kenyan Africans and country of origin for other Kenyans and non-Kenyans.’ Zambia’s ethnicity question instructs, ‘If Zambian enter ethnic grouping, if not mark major racial group.’ And Iraq’s census asks only Iraqis to answer the ethnicity question.Perhaps the simplest cases of conceptual overlap occur, however, on censuses that combine multiple terms in the same item, such as the conflation of ethnicity and race in the Solomon Islands’ question: ‘Ethnicity. What race do you belong to? Melanesian, Polynesian, Micronesian, Chinese, European, other or mixed?’(c.) Use of examples. National censuses vary considerably in the extent to which they employ examples to facilitate response to their ethnicity questions. Given typical space constraints, this strategy is not widespread; instead, the list of checkbox response options may serve as the principal illustration of the objective of the question. For example, the Philippine presentation of examples before its closed-ended code-list question is unusual: ‘How does [the person] classify himself/herself? Is he/she an Ibaloi, Kankanaey, Mangyan, Manobo, Chinese, Ilocano or what?’ Instead, examples are more likely to be employed when the answer format calls for an open-ended write-in response; it is in this context, for example, that Fiji offers respondents the examples ‘Chinese, European, Fijian, Indian, part European, Rotuman, Tongan, etc.’ The U.S. Pacific territories do the same for their ‘ethnic origin or race’ write-in item.In summary, both the amount of latitude that census respondents enjoy when answering an ethnicity question and the amount of guidance or clarification they are given vary widely across the international spectrum.5 Conclusions5.1 Summary of FindingsAlthough widespread, ethnic enumeration is not a universal feature of national censuses; 63 % of the censuses studied here included some type of ethnicity question. In nearly half of these cases, ‘ethnicity’ was the term used, but significant numbers of censuses inquired about ‘nationality,’ ‘indigenous status,’ and ‘race.’ Each of these terms tended to be associated with a particular type of response format: questions about indigenous status were most likely to entail a closed-ended response format (checkboxes or code lists), whereas nationality questions were the most likely to permit open-ended responses (i.e., fill-in blanks). National census practices also varied in terms of their allowance of multiple-group reporting and use of examples.The large number of questionnaires studied here (138 in total, with 87 employing ethnic enumeration) permits the exploration of geographic patterns in census practices. Based on this sample, it appears that nations in the Americas and in Oceania are most likely to enumerate by ethnicity, while those in Europe and Africa are the least likely. Among the countries that do practice census ethnic classification, the term ‘nationality’ is most likely to be used in Eastern Europe and the former Soviet Union, while ‘indigenous status’ is most likely to be a concern in the Americas, as is ‘race.’5.2 Evaluating Ethnic EnumerationIn addition to the empirical, theoretical and applied contributions to be made to existing research on ethnic classification (see Morning 2008), the findings reported here are relevant to debates about the formulation, feasibility and desirability of both census ethnic enumeration and international guidelines concerning it. Any proposal for new enumeration strategies, however, must reckon with the fact that census construction is not merely an exercise in survey design; it is fundamentally a political process, where state and group interests and ideology thoroughly inform the final census product (Anderson 1988; Kertzer and Arel 2002a; Nobles 2000; Skerry 2000). The United States in particular offers a long record of instances in which official racial classification has been shaped by forces other than methodological concerns (Lee 1993; Morning 2003; Wolfe 2001). The current format that distinguishes Hispanics as an ethnic group but not a race; the inclusion of multiple sub-categories of the ‘Asian’ race option; and the retention of a ‘Some other race’ response are just a few examples of census features championed by political actors.Consequently, it is not enough to appeal to methodological principles of logic, consistency, parsimony or clarity – nor to international precedent – when calling for change in census questionnaires. Political interpretation and agendas around the census must also be taken into account. More specifically, potential revisions that are suggested by cross-national comparison must address the policy concerns and motivations that shaped the current questionnaire. Are these political exigencies still salient or have they diminished in importance? Does the proposed revision solve or exacerbate the social problem in question, or do neither? Will the suggested change have other benefits or costs? How do they compare to the benefits and costs of the existing arrangement? Although survey design problems such as inconsistency or lack of clarity may not seem pressing enough to overhaul longstanding census items, we should not overlook the fact that they entail real costs: confusion, non-response, offense and lack of representation are just a few. In other words, the kinds of census design flaws that cross-national comparison reveals are most likely to be addressed if their implications for data quality are translated into the political language of social costs and benefits that has always shaped national census-taking.International guidelines for the conduct of population censuses must also take both design imperatives and policy motivations into account. The most widely-applicable guidance is the United Nations Statistics Division’s (1998) Principles and Recommendations for Population and Housing Censuses (Revision 1). In its discussion of ethnic enumeration, this document stresses the practical difficulty of proposing a common, cross-national approach to ethnic enumeration:

The national and/or ethnic groups of the population about which information is needed in different countries are dependent upon national circumstances. Some of the bases upon which ethnic groups are identified are ethnic nationality (in other words country or area of origin as distinct from citizenship or country of legal nationality), race, colour, language, religion, customs of dress or eating, tribe or various combinations of these characteristics. In addition, some of the terms used, such as ‘race’, ‘origin’ and ‘tribe’, have a number of different connotations. The definitions and criteria applied by each country investigating ethnic characteristics of the population must therefore be determined by the groups that it desires to identify. By the very nature of the subject, these groups will vary widely from country to country; thus, no internationally relevant criteria can be recommended. (p. 72)

Despite the United Nations’ conclusion that ‘no internationally relevant criteria can be recommended,’ given the many ways that ethnicity is operationalized around the world (i.e., with measures such as language or dress), this analysis has revealed a great deal of commonality in official approaches to ethnic enumeration. And despite national variety in the groups recognized or the ethnicity terminology used, a broad class of ethnicity questions targeting communities of descent can be identified. Diversity in indicators of ethnicity – which as the U.N. rightly notes, are context-driven – does not preclude recognizing and analyzing them as reflections of a shared fundamental concept. Despite the different formulations used, such as ‘race’ or ‘nationality,’ their shared reference to communities of descent justifies both academic and policy interpretation of them as comparable categorization schemes. Just as different countries might define ‘family’ membership differently, we can recognize that their varied enumeration approaches target an underlying, shared concept of kinship – and suggest census guidelines accordingly. In short, these findings challenge the United Nations conclusion that international guidance on ethnic enumeration is not possible.The feasibility of proposing international guidelines on ethnic enumeration is an entirely separate matter, however, from the question of what recommendations should be made, including first and foremost any guidance about whether ethnicity should be a census item at all. The debate about the desirability of formal ethnic classification is a political one – and it is important and timely. In the United States, some public figures have called for the removal of racial categories from official state-level records, believing that government policies should not be informed by data on race (Morning and Sabbagh 2005). In some European countries, France in particular, the potential introduction of official ethnic classification has been hotly debated (Blum 2002; Simon and Stavo-Debauge 2004). While supporters believe such categories are necessary to identify and combat discrimination, opponents fear that government adoption of such a classification scheme would divide the nation, stigmatize some groups, and generally bolster concepts of difference that have been closely associated with prejudice. Given such concerns, Zuberi’s (2005) admonition that ethnic categories not be used on censuses without a clear objective, and one that will not harm those groups traditionally stigmatized by such classifications, is essential. But as the French case illustrates, it can be difficult to ascertain the pros and cons of ethnic enumeration, as its likely impact may be highly contested. While the presentation of results on global classification practices cannot answer the normative questions posed here, empirical findings on the reach and uses of such categorization schemes should nonetheless be a meaningful resource that informs the important debate over whether populations should be enumerated by ethnicity at all.

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Download references AcknowledgementsThe author warmly thanks the following people and institutions for their contributions: Kevin Deardorff (U.S. Census Bureau); United Nations Statistical Division (Department of Economic and Social Affairs), Demographic and Social Statistics Branch (particularly Mary Chamie, Jeremiah Banda, Yacob Zewoldi, Margaret Mbogoni, Lisa Morrison-Puckett and intern Julia Alemany); International Programs Center, U.S. Census Bureau; Adrian Hayes (Australian National University); Caroline Persell and Sylvia Simson (New York University); Leslie Stone (Inter-American Development Bank); Gerald Haberkorn (Secretariat of the Pacific Community); Patrick Corr (Australian Bureau of Statistics); and anonymous reviewers. I also wish to thank the attendees at the following presentations of this research: U.S. Census Bureau Migration Speaker Series; Population Association of America; International Union for the Scientific Study of Population; American Sociological Association; and the Demographic and Social Statistics Branch (United Nations) Speaker Series. The initial version of this research was funded by the U.S. Census Bureau Immigration Statistics Branch. However, the conclusions – and the shortcomings – are solely those of the author. Author informationAuthors and AffiliationsDepartment of Sociology, New York University, New York, NY, USAAnn MorningAuthorsAnn MorningView author publicationsYou can also search for this author in

PubMed Google ScholarCorresponding authorCorrespondence to

Ann Morning . Editor informationEditors and AffiliationsInternational Migration and Minorities Unit, Institut National d'Etudes Démograhiques, Melrose, Montreal, CanadaPatrick Simon Oppenheimer Chair in Public International Law, McGill University and Honorary University of Montreal, Melrose, Montreal, CanadaVictor Piché Institute for Statistics, UNESCO, Montreal, CanadaAmélie A. Gagnon Appendix: Countries Included in Regional GroupingsAppendix: Countries Included in Regional Groupings

Organizing scheme borrowed from United Nations Statistical DivisionNorth AmericaSouth AmericaAfricaEuropeAsiaOceania

Anguilla*

Argentina*

AlgeriaAlbania*Afghanistan

American Samoa*

Antigua and Barbuda

Bolivia*

AngolaAndorra

Armenia*

Australia*

Aruba

Brazil*

BeninAustria*

Azerbaijan*

Cook Islands*

Bahamas*

Chile*

Botswana*Belarus*Bahrain*

Fiji*

BarbadosColombiaBurkina FasoBelgium*BangladeshFrench Polynesia*

Belize*

EcuadorBurundiBosnia and HerzegovinaBhutan

Guam*

Bermuda*

Falkland Islands (Malvinas)Cameroon

Bulgaria*

Brunei Darussalam

Kiribati*

British Virgin IslandsFrench Guiana*Cape Verde*Channel Islands (Guernsey)*Cambodia*Marshall Islands

Canada*

Guyana*

Central African Republic

Channel Islands (Jersey)*

China*

Micronesia (Federated States of)*

Cayman Islands

Paraguay*

Chad

Croatia*

Cyprus*

Nauru*

Costa Rica*

Peru*

ComorosCzech Republic*Democratic People’s Republic of Korea

New Caledonia*

Cuba

Suriname*

CongoDenmarkEast Timor*

New Zealand*

DominicaUruguay*Cote d’Ivoire

Estonia*

Georgia*

NiueDominican Republic

Venezuela*

Democratic Republic of the CongoFaeroe Islands

Hong Kong*

Norfolk IslandEl Salvador DjiboutiFinland*

India*

Northern Mariana Islands*

GreenlandEgypt*France*

Indonesia*

PalauGrenadaEquatorial GuineaGermanyIranPapua New Guinea*GuadeloupeEritreaGibraltar

Iraq*

Pitcairn

Guatemala*

EthiopiaGreece*Israel*SamoaHaiti* GabonHoly SeeJapan*

Solomon Islands*

Honduras*

Gambia

Hungary*

Jordan

Tokelau*

Jamaica*

Ghana*

Iceland

Kazakhstan*

Tonga*

MartiniqueGuinea*Ireland*Kuwait*

Tuvalu*

Mexico*

Guinea-BissauIsle of Man*

Kyrgyzstan*

Vanuatu*

Montserrat

Kenya*

Italy*

Lao People’s Dem. Republic*

Wallis and Futuna Islands*Netherlands AntillesLesotho*

Latvia*

Lebanon Nicaragua*LiberiaLiechtenstein*

Macao*

Panama*

Libyan Arab Jamahiriya

Lithuania*

Malaysia*

Puerto Rico*

MadagascarLuxembourg*Maldives*Saint Kitts and NevisMalawi*Malta*

Mongolia*

Saint Lucia*

MaliMonaco*MyanmarSaint Pierre and MiquelonMauritaniaNetherlands

Nepal*

Saint Vincent and the Grenadines

Mauritius*

Norway*Occupied Palestinian Territory*

Trinidad and Tobago*

Morocco*

Poland*

OmanTurks and Caicos Islands

Mozambique*

Portugal*Pakistan*

United States*

Namibia*

Republic of Moldova*

Philippines*

U.S. Virgin Islands*

Niger

Romania*

Qatar Nigeria

Russian Federation*

Republic of Korea*RéunionSan MarinoSaudi ArabiaRwandaSlovakia

Singapore*

Saint Helena

Slovenia*

Sri Lanka*

Sao Tome and PrincipeSpain*Syrian Arab Republic

Senegal*

Svalbard and Jan Mayen Islands

Tajikistan*

Seychelles*SwedenThailand*Sierra LeoneSwitzerland*Turkey*  Somalia

Former Yugoslav Republic of Macedonia*

Turkmenistan*

 

South Africa*

Ukraine*

United Arab EmiratesSudan

United Kingdom*

Uzbekistan*

Swaziland*

Yugoslavia*

Vietnam*

Togo Yemen*Tunisia UgandaUnited Rep. of Tanzania*Western Sahara

Zambia*

Zimbabwe*

Countries marked with an asterisk * are those whose censuses from the 1995–2004 period were used for this study; countries in bold include an ethnicity question on the census

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Reprints and permissions Copyright information© 2015 The Editor(s) (if applicable) and The Author(s) About this chapterCite this chapterMorning, A. (2015). Ethnic Classification in Global Perspective: A Cross-National Survey of the 2000 Census Round.

In: Simon, P., Piché, V., Gagnon, A. (eds) Social Statistics and Ethnic Diversity. IMISCOE Research Series. Springer, Cham. https://doi.org/10.1007/978-3-319-20095-8_2Download citation.RIS.ENW.BIBDOI: https://doi.org/10.1007/978-3-319-20095-8_2

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The use of race, ethnicity and ancestry in human genetic research | The HUGO Journal | Full Text

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The use of race, ethnicity and ancestry in human genetic research

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Published: 07 July 2011

The use of race, ethnicity and ancestry in human genetic research

Sarah E. Ali-Khan1, Tomasz Krakowski1, Rabia Tahir1 & …Abdallah S. Daar1,2,3,4 Show authors

The HUGO Journal

volume 5, pages 47–63 (2011)Cite this article

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AbstractPost-Human Genome Project progress has enabled a new wave of population genetic research, and intensified controversy over the use of race/ethnicity in this work. At the same time, the development of methods for inferring genetic ancestry offers more empirical means of assigning group labels. Here, we provide a systematic analysis of the use of race/ethnicity and ancestry in current genetic research. We base our analysis on key published recommendations for the use and reporting of race/ethnicity which advise that researchers: explain why the terms/categories were used and how they were measured, carefully define them, and apply them consistently. We studied 170 population genetic research articles from high impact journals, published 2008–2009. A comparative perspective was obtained by aligning study metrics with similar research from articles published 2001–2004. Our analysis indicates a marked improvement in compliance with some of the recommendations/guidelines for the use of race/ethnicity over time, while showing that important shortfalls still remain: no article using ‘race’, ‘ethnicity’ or ‘ancestry’ defined or discussed the meaning of these concepts in context; a third of articles still do not provide a rationale for their use, with those using ‘ancestry’ being the least likely to do so. Further, no article discussed potential socio-ethical implications of the reported research. As such, there remains a clear imperative for highlighting the importance of consistent and comprehensive reporting on human populations to the genetics/genomics community globally, to generate explicit guidelines for the uses of ancestry and genetic ancestry, and importantly, to ensure that guidelines are followed.

IntroductionThe completion of the Human Genome Project over a decade ago has led to intensified studies of genetic variation in human populations. Much of this work uses specific population identities to categorize groups, for example Caucasian, Korean, South Asian and Yoruban, and in addition often uses the generic terminology ‘race’ and ‘ethnicity’ to refer to them. The validity of using socially-visible groups in biomedical research has been an ongoing controversy. However, there is now resurgent interest in the subject (Burchard et al. 2003; Cooper et al. 2003; Duster 2005; Risch et al. 2002; Schwartz 2001; Stevens 2003), because technology advances are increasing opportunities to clarify the relationship between social identity, genetic diversity and health, and to move beyond old prejudices about human difference (Ali-Khan and Daar 2010; Editorial 2004a; Rotimi 2004). Accordingly, in the last 2 years several multidisciplinary groups including our own, have convened to examine these issues afresh (Caulfield et al. 2009, Lee et al. 2008).A fundamental difficulty raised by the use of socially-visible population labels—whether they are referred to as ‘races’, ethnicities, nationalities, or by other language—is that their meanings and parameters are context-dependent (Kressin et al. 2003; Rotimi 2004), and have powerful ramifications beyond the domain of science (Bamshad and Olson 2003; Clayton 2002; Gould 1981; Lewontin 1995; Provine 1973). Lack of clarity and consistency in the description of research populations and inadequate justification for their use has been a persistent source of concern in biomedical research (Bhopal 1997; Clayton 2002; Collins 2004; Comstock et al. 2004; Editorial 2004b; Lee 2004; Sankar and Cho 2002), and can have adverse scientific and social consequences, particularly in the context of genetics research. As such, failure to define a group label or describe how membership was ascertained makes it difficult to know who exactly is being studied, challenging the reproducibility of research findings and limiting portability to other geneticists, disciplines, and the clinic (Brown 2007; Editorial 2004b; Sankar et al. 2007). Further, such ambiguity can encourage racial/ethnic stereotypes and over-simplifications that stymie, rather than promote, understanding of genetic diversity (Bamshad et al. 2004; Race Ethnicity and Genetics Working Group 2005). Likewise, failing to explain why a particular population was studied with respect to the research question can imply that social identity is the basis for any observed phenotypic differences. Such interpretations may divert from further study to identify true underlying mechanisms (Sankar et al. 2004), and have dangerous clinical consequences by encouraging reliance on social identity for prescription or prognosis (Braun et al. 2007; Geiger 2003; Lee 2005).Ongoing concern has prompted journal editors, professional societies and expert commentators to repeatedly offer guidelines for the use and reporting of race and ethnicity in genetic research. These have largely converged on four key points; (1) define the race and ethnicity, or more broadly the population terms, used in the context of the study (Anonymous 2005; Burchard et al. 2003; Cooper et al. 2003; Editorial 2004b; Iverson et al. 1998; Kaplan and Bennett 2003; Race Ethnicity and Genetics Working Group 2005; Sankar and Cho 2002; Winker 2004); (2) explain how the terms or categories relate to the research hypothesis, or why the particular population was chosen for study by the researchers (Anonymous 2005; Editorial 1996, Editorial 2004a; International Council of Medical Journal Editors 2010; Iverson et al. 1998; Kaplan and Bennett 2003; Lee et al. 2008; Race Ethnicity and Genetics Working Group 2005; Rivara and Finberg 2001; Sankar and Cho 2002; Winker 2004); (3) describe how participants were assigned to the research populations (Anonymous 2005; Editorial 2004b; Lee et al. 2008; Race Ethnicity and Genetics Working Group 2005; Sankar and Cho 2002; Winker 2004); and (4) describe the limitations of the study with respect to the populations to which the research findings can be generalized (Anonymous 2003; Anonymous 2005; Davis et al. 2001; Ioannidis et al. 2004; Osborne and Feit 1992). Various of these have been endorsed by biomedical journals, and by the International Council of Medical Journal Editors http://www.icmje.org/journals.html#S (for review, see Caulfield et al. 2009). However, studies assessing compliance in genetic research published over 2001–2004 (Editorial 2004b; Sankar et al. 2007; Shanawani et al. 2006); indicated that guidelines were not widely followed.Since those data were collected, the advent of high-resolution genome-wide genotyping is allowing more empirical description of individuals and populations, by the inference of genetic or ‘biogeographical’ ancestry (Bamshad et al. 2004; Li et al. 2008; Novembre et al. 2008; Rosenberg et al. 2002; Royal et al. 2010; Shriver et al. 2004; Via et al. 2009). Used to determine and quantify genetic background, this technology can augment or supersede the use of proxy methods, such as self-identified race/ethnicity, physical appearance, language-spoken, or ancestry based on geographical origin, to stratify research participants and maximize their relative genetic homogeneity. Thus, some have suggested the use of ‘ancestry’ rather than race/ethnicity to describe group differences and genetic variation, because of its more objective basis, and perceived distance from negative connotations associated with ‘race’ (Ali-Khan and Daar 2010; Bamshad et al. 2004; Race Ethnicity and Genetics Working Group 2005; Smart et al. 2006). Our study had two goals; (1) to assess current compliance with recommendations for the use of race and ethnicity—or more broadly social identity—in genetic research; and (2) to examine the use of ‘ancestry’ as a generic terminology to describe study populations, and also in the sense of ‘genetic ancestry’ by the use of empirical genomic methods to categorize research groupings.Authors who previously examined the use of race and ethnicity in genetic research considered all specific population identifiers used in the context of humans as ‘race and ethnicity’ terms (Sankar et al. 2007; Shanawani et al. 2006). We do not disagree with this, but for the purposes of the second part of our analysis we went beyond previous analyses, sub-dividing our data by the generic terminology used to refer to the specific named study populations in articles, in order to compare articles which used the generic terms ‘race and/or ethnicity’, with those using ‘ancestry’, or ‘other’ terms. In addition, we note that we did not define race or ethnicity or ancestry for the purposes of this work, but rather kept the study open-ended with the goal of observing how these terms are currently put to use by authors. In this vein, we add that the goal of this study was not to assess which of these terms should be used by authors. However, we agree with previous commentators that the study of DNA within the context of socially-identified groups in no way justifies the definition of subgroups of individuals as biologically distinct races (Collins 2010).Materials and methodsStudy designIn this work we undertook a systematic analysis of scientific articles reporting genetic research in the context of human populations. Our analysis was divided into two parts. In the first part, to evaluate how use and reporting of this research has changed over time we assessed selected metrics adapted from previous studies (Sankar et al. 2007; Shanawani et al. 2006). We also asked new questions to examine the use of ‘ancestry’ to describe populations, the use of genotyping data to assign ancestry and thus verify research group membership, and whether discussion of social and ethical implications of the reported research was included in articles. In the second part of the study, to assess differences between articles using different generic terminology to refer to study populations we sub-divided the data by articles using; (1) race and/or ethnicity; (2) ancestry; and (3) otherterminology. We then compared the metrics obtained in part one of the study across these sub-divisions of the data. We also collected qualitative data with respect to how ‘ancestry’ was used in articles.Sample selectionWe conducted a Pubmed search strategy to obtain a sample of journal articles for analysis. We used the keywords (race OR ethnicity OR ancestry) and the genetic terms (polymorphism OR CNV OR SNP), with the limits; humans, English, and publication dates between January 1st 2008 and December 31st 2009 (N = 3536). The use of ‘race’, ‘ethnicity’ and ‘ancestry’ in Pubmed captures articles in which these words occur in the text, articles that use these as words as MeSH headings, and the hierarchy of terms occurring under these headings. For example, ‘race’, is a synonym for the MeSH heading ‘Continental Population Groups’, which includes; ‘American Continental Ancestry Group’; ‘American Native Continental Ancestry Group’; ‘Asian Continental Ancestry Group’; ‘European ‘Continental Ancestry Group’; and ‘Oceanic Continental Ancestry Group’. Likewise, each of these terms captures all the specific groups classified to these geographic regions. For example ‘American Continental Ancestry Group’ includes; ‘Indians Central America’; ‘Indians North America’, ‘Indians South America’; and ‘Inuits’; and likewise, when expanded each of these terms captures a range of specific population identifiers. For example ‘Inuits’ corresponds to; ‘Inuit’; ‘Inupiat(s)’; ‘Eskimo(s)’; ‘Kalaallit(s)’; and ‘Aleut(s)’ (see: http://www.ncbi.nlm.nih.gov/mesh).We decided to direct our sample toward articles that are most likely to reflect the state of the art in the field of genetic research, and to be of high quality. Our rationale was that such articles may be most likely to have wider scientific and social influence, by serving as models and hypothesis generators for other researchers, and by infiltrating the non-geneticist community by being reported in the popular press. To capture articles most likely to be of this type, we identified a convenience sample of 10 leading population-based geneticists, genetic epidemiologists and genome scientists based in the United States and Canada, and asked them to rate the top 5 most influential journals in which to publish their work. We then limited our article collection to the top 6 highest ranked journals from this survey. These were; the American Journal of Human Genetics; Human Genetics; Nature; Nature Genetics; PLoS Genetics; and Science (N = 197) (search completed February 2010) (see Table 1). We note that three of these have published policy on the use and reporting of race and ethnicity (Brown 2007; Editorial 2004a, b). However, none are listed as explicitly endorsing the ICMJE’s Uniform Requirements for manuscripts submitted to biomedical journals (see http://www.icmje.org/journals.html#S).Table 1 Sample set characteristics, N (%)Full size tableThe abstracts and MeSH information for each article were then reviewed to exclude all but original research articles from the sample—news, comments, letters, reviews and meta-analyses were removed. Finally, the entire articles were downloaded and reviewed in detail to verify each described original research studying human genetic variation using human tissue samples or human subjects. This process yielded a final study sample of 170 articles for analysis.Data analysisPart oneThe study articles were saved as PDFs, and printed out, read and examined by hand to extract data. In addition, the full Medline format information on each article was uploaded to a Refworks database, and the data from our analysis were recorded in customized fields. To enable comparison to previous study on articles published from 2001 to 2004 (Sankar et al. 2007, Shanawani et al. 2006), the coding and analytical framework we used was adapted principally from Sankar et al. (2007), and with reference to the analysis by Shanawani et al. (2006). Sankar’s group developed content codes to analyze how the research populations were described, and the main components and structure of scientific articles. In addition to using these, we developed additional codes to assess the use of ancestry, of empirical genomic methods to measure ancestry, or assign or verify membership in research populations, and the discussion of ethical and social aspects in articles. An initial set of codes was tested by SEA, RT and TK. These codes were subjected to several rounds of consensus coding (Jenkins et al. 2005; Sankar et al. 2007) and discussion amongst all the authors. When interpretation and conceptual issues were resolved, and the codes were deemed to adequately capture relevant article features, a coding guide was generated listing coding rules, definitions and examples. The final study analysis was carried out by SEA.CodingThe analysis codes evaluated four main areas: (1) basic article features; (2) reasons researchers gave for how and why they used named populations in the study design; (3) the role of the named populations in the research design or the description of the research; (4) use of empirical genomic means to assign or verify membership in the research populations; and (5) discussion of social or ethical implications of human genetic research. We analyzed each article by looking for text corresponding to these codes, or pieces of information, as described below and scored them as a yes/no variable. Additionally, for many of the codes, we collected qualitative data for further analysis, by recording the text content as well. We also noted the country of the institution of the first author, how the research was funded, whether or not informed consent was reported for the research populations involved, and whether or not a conflict of interest statement was provided.Basic featuresEach article was analysed with respect to three basic features providing fundamental information about the study it reported. Each code was scored as a yes/no variable. (1) hypothesis was defined as the presence of a founding idea or assumption stated as the starting point for investigation. Text identified for this code included formally stated hypotheses, and more general research questions, goals or aims. In each case the text had to state or imply that the idea provided the basis for the study; (2) limitations were statements that described the factors that restricted the generalizability of study findings. Statements had to be explicit and related to study design to be coded as limitations. Hypothesis and limitations are standard aspects of scientific research articles. Inclusion of a specific hypothesis is important as this is where readers might expect to find an explanation for how identifying a study population as a specific race, ethnicity or ancestry group relates to the study premise or research question. A limitations statement offers the opportunity to explain how widely the findings can be applied to populations beyond the study sample that might be associated with the race, ethnicity or ancestry terms used in the study. Note that some articles were not included in the limitations analysis because we judged their analysis to not require such a qualification; and (3) sample origin was defined not as the geographical region from which the samples were obtained, but where and how the researchers acquired the tissue samples or genetic data, for example—whether they were obtained from a tissue or databank, collected at a hospital, or were already in researchers’ possession.Reason for using populationsTo examine authors’ explanations for why research was conducted using race and ethnicity or ancestry terms, articles were classified based on three features that have been recommended by expert commentary, journals, and professional societies (Ali-Khan and Daar 2010; American Academy of Pediatrics: Committee on Pediatric Research 2000; American Anthropological Association 2000; Bamshad et al. 2004; Editorial 1996; International Council of Medical Journal Editors 2010; Lee et al. 2008; Race Ethnicity and Genetics Working Group 2005; Rivara and Finberg 2001; Winker 2004), and see, http://www.icmje.org/urm_full.pdf. (1) Why populations was used to label text that gave reasons for pursuing the research question by using a population so identified; (2) Why this population was used to code reasons provided for studying the particular population(s) in question. Reasons could be practical (e.g. because the sample was available) or theoretical (e.g. because the condition of interest was known to occur frequently in a particular group); (3) Basis for assigning population term was defined as the method by which membership in the study population was determined, or the population label was assigned to research participants. For example, self-reported by subjects, taken from existing records, assumed because of the geographical region where subjects were recruited, or assigned based on genomic inference. If an article provided any of these means it was coded yes. Thus, a yes/no variable and how, as qualitative data, was collected.Use of genotyping data to infer genetic ancestryTo begin to evaluate the nature and the degree to which high resolution genome-wide genotyping—or genetic ancestry testing—is being used to assess the genetic background or ancestry of research participants or samples, we labelled text that described such methodologies. Only studies using these approaches as part of their process of assigning or verifying the membership of participants or samples to research groupings, or to assess for population stratification were coded as ‘yes’. The use of such methods to analyse the genetic structure of populations as the main goal of the reported research were coded ‘no’. Both a yes/no variable and how, as qualitative data, was collected.Defines race and/or ethnicity, or ancestry termsTo assess the degree to which authors defined and described the terms and identities used to refer to research populations we labelled text according to the following codes (1) Defines generic ‘race’, ‘ethnicity’ or ‘ancestry’ was applied when text explicitly defined race, ethnicity or ancestry as a genetic, social or biological concept, or provided a reference to information that did so. Further, we began to assess the comprehensiveness of research population definitions. We based our criteria on those recommended by commentators who underlined the importance of thorough, and multi-dimensional description of populations (Bamshad et al. 2004, Editorial 2004b). Thus, we applied (2) Defines specific race or ethnicity, ancestry term (or population identifier) to articles only when they provided all of the following information; (1) the identifier or name of the research population; (2) the geographical location where the participants were recruited or the community where they were resident; (3) their ‘racial’, ethnic, or geographical ancestral origin; and (4) specified how this label was assigned (for example, by self-report, by genomic ancestry inference, based on multiple generations of the participants’ family etc.). In addition, if text, or a figure (e.g. a principal components plot) described the group genomically, defining parameters for group exclusion or inclusion, this was also coded as yes.The role of named populations in genetic researchTo examine the various ways that articles used race and ethnicity, or ancestry, text was labelled that referred to the following 5 codes: (1) Label for study population only was applied to text where race, ethnicity, ancestry or other populations terms were used to label the study population only, and not as a research variable; (2) Independent and; (3) Dependent were applied respectively when race, ethnicity, ancestry or other population terms were employed as independent or dependent variables in the research being reported; (4) DNA with label indicated where authors had labelled DNA—for example, alleles, chromosomes, haplotypes, or mutations—with a race, ethnicity or ancestry term, as in ‘Mexican and Caucasian T allele (Plaisier et al. 2009) Codes (1–4) could co-occur, but codes (2) (Independent) and (3) Dependent) were mutually exclusive.Social and ethical implications related to human population genetic researchWe looked for statements discussing social or ethical implications of population-based genetic research. Such content had to discuss implications arising from the genetic research being reported—e.g. text relating to the potential for study results to stigmatize the research population. We coded these as a yes/no variable, and if found, the issues discussed were recorded as qualitative data.Categorization of articles by general field of interestWe also categorized the articles by their general field of interest; ‘population genetics’ was defined as including population genetic and studies examining inter or intra-population genetic structure, genetic anthropology, and whole genome sequencing articles; ‘medical’ included disease and pharmacogenomics-related articles; ‘methods’, reported new methodologies or analytical approaches in genetic research; and ‘non-medical’ was defined as articles reporting studies of non-medical-related phenotypes, for example height or hair colour. For the purposes of this analysis these categories were exclusive.Part twoGeneric terminology used to refer to research populationsWe recorded all the generic terminology used to describe the research populations in each study, and the specific research population names or identifiers. If an article referred to the research populations by ‘race’ or ‘ethnicity/ethnic’ anywhere in the main article body or supplementary materials we coded the article as ‘race and/or ethnicity’. Likewise, if an article referred to populations as ancestries or ancestry groups (but not race or ethnicity), it was coded ‘ancestry’. Articles using only a specific population identifier such as whites, African Americans, Han Chinese etc., or that described populations using any other terminology such as origin, descent, etc. were coded ‘other’. We also recorded examples where the generic terms ‘race and ethnicity’ were used synonymously with ‘ancestry’, or that used them in a conceptually distinct fashion, and collected qualitative data regarding the use and application of ‘ancestry’ in articles.We note that for the purposes of this analysis and consistent with others (Sankar et al. 2007; Shanawani et al. 2006), we did not distinguish conceptually between race and ethnicity. Despite some commentators offering distinct definitions of these (Editorial 2004b; Harrison 1995; Kalow 2001; Wood 2001), it appears that in practice they are most often used interchangeably (Condit 2007; Oppenheimer 2001; Sankar and Cho 2002). Thus, in this work, we considered them together as one category.Supplementary and additional dataMany articles provided additional supplementary information or methods online. These were downloaded, examined for relevant information, and coded as part of the analysis for each article. Some referred readers to previously published literature for details about research procedures or the study population. These articles were also downloaded, examined and relevant statements were used as the basis for assigning the codes to the original article. If these articles did not provide the relevant details but in turn referenced another paper, we scored the article as ‘no’ for the code in question.Statistical analysesAfter sub-dividing the data by the generic terminology used to refer to the study populations in articles, as in (1) race and/or ethnicity; (2) ancestry; and (3) other. We then compared frequencies of individual codes across the resulting subsets of the data, assessing the significance of any differences via the chi-square statistic. Statistical tests were performed using SigmaStat statistical software (Version 3.5).ResultsSample set characteristicsWe reviewed and analyzed 170 research articles published in 2008 and 2009 reporting genetic research in the context of human groups. Basic characteristics and categorization by the articles’ general field of interest are shown in Table 1.Part one—compliance with recommendations for the use and reporting of populations in genetic researchBasic article featuresWe were able to identify a clearly stated hypothesis or research questions in almost every article in our sample (99.4%, N = 169) (Table 2). Likewise, most papers described the origin of their research samples. Fewer articles described the limitations of their studies with respect to the populations investigated (52.4%, N = 87). Most of these limitations statements were not extensive, but rather comprised of a sentence in the article discussion stating that the study findings should be validated or further investigated in diverse populations, or in other ‘racial’, ethnic or ancestry groups (see for example, Ganesh et al. 2009).Table 2 Sample set coding frequencies, N (%)Full size tableReason for using populationsAbout two thirds of articles explained why they chose to study labelled populations (65.9%, N = 112), or why they chose to study the particular populations featured in the research (68.8%, N = 117) (Table 2). Most of these explanations were based on the phenotype or condition under study being of high prevalence in the study population, or the fact that this group was understudied in comparison to others, for example ‘Because neuroblastoma in the United States is demographically a disease of Caucasians of European descent, we limited our initial analyses to this racial group to minimize phenotypic variability’(Diskin et al. 2009). A key scientific consideration in selecting samples for association studies is that they be drawn from the most genetically homogeneous population possible—thus striving to avoid spurious associations resulting from population stratification (Cardon and Palmer 2003; Marchini et al. 2004). However, few articles (4.7%, N = 9), specifically linked this notion to the use of labelled populations in their study, or to the particular population investigated. Of the articles that did not explain why they chose to study labelled populations, all but one were association studies or other analyses to identify a trait’s genetic basis. In many of these articles populations/samples were ostensibly used because of their availability to researchers, although this was not explicitly stated.Most articles also provided some basis for how the population label was assigned to research participants (88.2%, N = 150). Most indicated that this was by self-reported race, ethnicity, geographical origin or ancestry, and/or was determined based on the geographical region where participants were recruited or resided, and/or was assigned or verified using genomic data (see following section). Assigning population labels on the basis of more than one generation of the research participants’ family has been recommended (Tang et al. 2005). However, only 18 articles (10.6%) in our sample described using such approaches.Use of genotyping data to infer genetic ancestryJust over half the articles (51.8%, N = 88) described using genomic data to assess the genetic ancestry of research participants to assign or verify the research groupings, and/or to guard against population stratification (Cardon and Palmer 2003; Marchini et al. 2004) (Table 2). This is important because such approaches can substantiate the genetic similarity of individuals stratified using proxy methods, and provides another element to the description of research populations.Most of these determinations were described in the methods section of articles where statistical analyses or quality control issues were described, and fell into three broad categories; (1) genome-wide SNP genotypes or ancestry informative markers (AIMs) were used to infer the ancestry proportions of individual participants’ DNA samples. Those whose ancestry percentages fell below a specified cut-off were excluded from further analysis (23.3%, N = 20), see for example, (Trevino et al. 2009); (2) genome-wide SNP data was used to assess the genetic homogeneity of study populations, by principal components cluster analysis, sometimes in comparison to HapMap reference populations. Samples outlying from population clusters of interest were excluded from further analysis (41.9%, N = 36), see for example, (Yamaguchi-Kabata et al. 2008); (3) text briefly states that potential population stratification was examined in the research populations, but no further details are provided. These articles simply state that population genetic structure was not evident, or that it was found and corrected (36.4%, N = 32). Articles featuring this latter wording (3), were not coded ‘yes’ as providing the basis for assigning the population label, because no details were provided as to how samples were included or excluded from the research groups. Likewise, such text was not coded ‘yes’, as constituting a genomic description of the population for the same reason (see section below). Thus, genetic ancestry testing was described in a variety of ways, and at varying levels of detail by authors.Defining race or ethnicity, and ancestryNo article in our sample set specifically defined the meaning of the generic terms ‘race’, ‘ethnicity’ or ‘ancestry’ in the research reported (Table 2). This was surprising to us given the high percentage of articles which explained the basis for how they assigned the population label used (88.2%). Further, we expected that articles using terms of race, ethnicity or ancestry to categorize their research samples, or that used groups so labelled as independent research variables (51.2%, see section below), would also discuss or define the meaning of these concepts in the context of their study. Although no article provided explicit definitions, several studies whose goal was to analyze genetic substructure in populations, did begin to outline a distinction between population identifiers/names or self-identified ethnicity, and ancestry, which was framed in terms of genetic background (see for example, Li et al. 2008; Reich et al. 2009; Tishkoff et al. 2009).A critical component of many recommendations has been to use as specific population labels as possible, to carefully define their meanings (Bamshad et al. 2004; Kaplan and Bennett 2003; Sankar and Cho 2002), providing as much information on the population ‘as is compatible with ethical review board requirements’ (Editorial 2004b). For the purpose of this study, we considered a definition to include (1) the name or population identity of the group; (2) the geographical region of recruitment or the community in which the research participant resides; (3) their ethnic identity and or/the geographical origin of their ancestors; and (3) a specific indication of how the latter was determined. To be scored yes, an article needed to provide all of this information. More than half the articles in our dataset defined the specific population identifier used according to these parameters (60%, N = 102). Of these, 54.9% (N = 56) included a genomic description (i.e. groups (1) and (2) described in the previous section). Of articles that did not ‘define’ the population, many noted the geographical location of recruitment or residence, and/or the race/ethnicity, or ancestry of participants or samples, but not how these latter categorizations were determined. For example, they might state that ‘all subjects were of full Japanese ancestry’ (Yasuda et al. 2008), but not explain precisely what this meant in context, or how it was determined.Ways of using labelled populations in genetic researchAbout half of the articles (51.7%, N = 88) used the named populations as either dependent or independent variables (Table 2). The remainder used population identifiers only to label their study populations, but not to test a hypothesis related to the named group. A number of papers (13.5%, N = 23) labelled DNA by population. In most of these cases the population identifier was used to label the inferred ancestral identity of DNA sections in admixture mapping or similar studies, see for example (Hancock et al. 2009). A few articles used wording such as ‘ethnic-specific locus’ (Lei et al. 2009) or an ‘Asian mitochondrial DNA haplotype’ (Keyser et al. 2009).Social and ethical implicationsNo articles mentioned or discussed social or ethical implications arising from genetic research in general, or from the research being reported (Table 2). On the one hand this was not really surprising given that geneticists and social scientists have not traditionally collaborated, despite calls for interdisciplinary perspectives (Ali-Khan and Daar 2010; Bonham et al. 2005; Condit 2007; Lee et al. 2008; Via et al. 2009). Conversely, given that authors from both disciplines have engaged these issues (Bamshad et al. 2004; Burchard et al. 2003; Caulfield et al. 2009; Cooper et al. 2003; Duster 2005; Lee et al. 2008; Rotimi 2004), we anticipated finding some discussion, however cursory, in articles.Comparison of current data with previous studiesTo begin to get perspective on how researchers’ reporting has changed over the course of the past decade, we compared our findings with a previous study which analyzed genetic research articles published over 2001–2004, and with which we specifically aligned part of our study methodology and analysis (Table 3). We found marked increases in the numbers of articles providing hypothesis statements for the research reported (30% in the earlier study, compared to 99.4% of articles in our dataset, P = <0.001), and likewise describing the origin of their research samples (62.4% compared to 95.9%, P = <0.001). Compared to earlier in the decade, more authors described the limitations of their research findings with respect to the population-based data reported (22.7% compared to 52.4%, P = <0.001). However, still only about half the articles provided limitations.Table 3 Comparison of current data with earlier studyFull size tableThere were substantial increases in the proportion of articles (1) explaining why samples/participants in the study were grouped by race and ethnicity, or ancestry labels (10.9% compared to 66.5%, P = <0.001); and (2) justifying why these particular population groups were studied (11.2% compared to 68.2%, P = <0.001). In contrast, there was no change over time in articles defining the generic terms ‘race’, ‘ethnicity’, or ‘ancestry’ in the context of their study—no articles in either dataset defined these terms. This was surprising given the intensification of population studies using these terms in the last 10 years, and the continued scrutiny of measurement, communication and identity issues over this time (Caulfield et al. 2009; Clayton 2002; Foster and Sharp 2004; Lee et al. 2008; Rotimi 2004). It also suggests that researchers consider the meanings of these terms self-evident.Part two: cross-comparison of articles using different terminologies—race and ethnicity, ancestry or otherWe recorded the generic terminology used to refer to research populations in each article. Most described the studied populations as races or ethnicities (N = 80, 47.1%) (Table 4). For example, ‘The 67 populations analyzed in this study represent 41 ethnic nationalities living in China and other eastern Asian regions’ (Shi et al. 2009), and ‘All genetic association analyses were stratified by self-identified race (white vs. African American)…’(Rasmussen-Torvik et al. 2009). Only 4 articles (2.4%) used race only as a terminology, the rest used ‘race/ethnicity’, or ethnicity only, to describe populations. ‘Ancestry’ or ‘ancestry groups’ were used in 22.4% of articles (N = 38), for example, ‘Risk allele frequencies of rs12970134 are higher among individuals of Indian Asian ancestry than those of European ancestry’ (Chambers et al. 2008). The remainder of articles referred to populations only by a specific population identifier or name such as ‘European American’, ‘Hadza’ or ‘Japanese’, or by using various descriptors—most often origin, descent and derived, for example ‘this difference is maintained in American children of Japanese descent resident in the US’ (Burgner et al. 2009) (see Table 5 for a list of terms and ways of describing populations compiled from our sample set). We cannot comment on how the relative use of these terminologies has changed over time, as previous studies did not examine this parameter.Table 4 Presence of coded article features by generic terminology usedFull size tableTable 5 Terms used, and ways of describing populations compiled from our sample setFull size tableTo assess potential differences in the way researchers use ‘race and/or ethnicity’, compared to ‘ancestry’ or ‘other’ kinds of terminology to describe research populations or samples, we sub-divided our data by the generic terminology used, and analyzed the frequency of our research codes and categorizations across these sub-groups (Table 4). For the basic article features, there was no significant difference between terminology sub-groups. However, articles using race and/or ethnicity were significantly more likely to provide a justification for why the research studied populations so labeled (75.0%, N = 60) compared to those using ancestry (44.7%, N = 17) or other terminology (69.2%, N = 36) (P = 0.004). Articles using race and/or ethnicity were also significantly more likely to report medical-related research (P = <0.001). Consistent with these findings, during our analysis we noted that medical–related articles often investigated health disparities between groups framed in terms of race or ethnicity, and rationalized the study of their research populations on this basis. On the other hand, articles using ancestry were less likely to provide a justification for the use of this terminology to label populations, or why particular populations were studied (Table 4).Finally, we hypothesized that articles using ‘ancestry’ to label populations would be more likely to use genotyping data to assess the genetic background of their research groups, in order to assign the population label. Indeed, there was a significant relationship between the use of ‘ancestry’ and of empirical genomic methods (65.8%), compared to ‘race and ethnicity’ (55.0%), or articles using ‘other’ ways of referring to their research populations or samples (36.5%) (P = 0.017) (Table 4). The importance of controlling for population stratification through the assessment of genetic ancestry has been a key consideration in the context of genetic association studies (Cardon and Palmer 2003; Marchini et al. 2004). Consistent with this, medical (53.3%) and non-medical-related articles (62.5%) in our sample set—of which 41.5% and 50.0%, respectively reported genome-wide association studies—were more likely to use genomic methods, while population-related articles were less likely to (23.1%) (P = 0.006) (Table 6). Again this was consistent with our observations that population genetics type articles—which often mapped genetic substructure across populations—mostly relied on language-spoken, geographical location of residence or self-identified ethnicity to assign group membership. Conversely, case–control studies aiming to identify new genetic variants and striving to minimize population stratification, most often analyzed genotyping data or inferred genetic ancestry to stratify samples.Table 6 Use of empirical genomic methods by article field of interestFull size tableUses of ancestry in our sample setTo further understand how ‘ancestry’ is being by employed in research practice, we catalogued how the term was used by authors in articles. We found the terms ‘ancestry’ or ‘ancestry group’ were used in three main ways. Most commonly, they were used, as described above, to refer to the geographical origin of populations, for example ‘individuals of European ancestry’, or the line of heritage or descent of a group, for example, ‘Ashkenazi Jewish ancestry’ (Bronstein et al. 2008). In particular, ancestry was often used to describe populations/individuals for whom the geographic origin of their predecessors is different from their current place of residence (for example African Americans, or European Americans). ‘Ancestry’, ‘geographic ancestry’ or ‘biogeographic ancestry’ was also used to refer to the genetic background of individuals, or to sections of DNA along a chromosome, as inferred by the analysis of multi-locus genotypes. Sometimes these latter applications were distinguished by being specified as ‘genetic ancestry’ (for example, see (Li et al. 2008)). Most often ancestry or genetic ancestry used in this sense was framed in terms of continental origin—African, European, Native American or Asian, as determined by the use of HapMap I populations or other continental reference SNP collections. However, a few studies analyzed the genetic ancestry of populations on a regional scale (see for example, (Novembre et al. 2008; Reich et al. 2009)).Confusing or interchangeable uses of race and ethnicity and ancestryCareful definition and precise use of terms used to refer to populations would facilitate clarity about who is being studied, aid in dissecting genetic from environmental influences on phenotype, and assist in deconstructing conflation between social identity, and genetic background. However, as noted, none of the articles in our sample set defined ‘race and/or ethnicity’ or ‘ancestry’ in the context of their reported research (Table 2). A minority of articles used both race/ethnicity, and ancestry, to refer to the same populations in their reported research (21.2%, N = 36). Of these, about half used the terms distinctly, for example, Choudhry et al. (2008) specified that the ethnicity of participants was Puerto Rican (based on the reported ethnicity of the participants’ biological parents and all four biological grandparents), and then analysed their genetic ancestry in terms of West African, European and Native American background. However, some articles used race and ethnicity, and ancestry, interchangeably or indistinctly (Table 7). Most notably, while most articles which analysed genotypes to infer population genetic identities framed these in terms of ancestry, for example, ‘genetically-inferred individuals of European ancestry (Trevino et al. 2009), a few articles described these in terms of race (Yeager et al. 2009), or ethnicity, (Glessner et al. 2009) (Table 7). Finally, in a number of articles, ancestry or ‘other’ terms were used to refer to research populations in the main article body, while in supplementary materials race or ethnicity was used to describe the same populations. In some cases, this was because the research population’s inferred genetic ancestry only was discussed in the article body, and the method—including the ‘racial’ or ethnic groups from which the ‘ancestry’ group was imputed—was provided in supplementary materials. In other cases, race, ethnicity and ancestry were used in indistinct and interchangeably ways in supplementary text suggesting that less care was taken in the preparation of these materials (Table 7).Table 7 Examples of indistinct, interchangeable or confusing usage of race and ethnicity and ancestry compiled from our sample setFull size tableDiscussionRecent advances in high resolution genetic analyses and access to larger and more diverse population samples are now offering unprecedented opportunities for biomedical progress, and for understanding human identities, histories and relationships. To maximize the benefits of this research, it is crucial that authors precisely define and describe who is under study, the constructs by which they are grouped, and how this is relevant to the research hypothesis. To evaluate the current state of research practice, we examined published articles with two goals: (1) to investigate how recommendations for the use of race and ethnicity—or more broadly social identity—in human genetic research are currently being followed; and (2) to examine the use of ‘ancestry’ as a generic terminology to describe study populations, and also in the sense of ‘genetic ancestry’ by the analysis of genomic data to stratify participants/samples.We show that there has been marked improvement in compliance with many of the key published recommendations for the use and reporting of population-based genetic research over the last decade—at least in this sample of mainly high impact journals. However, our analysis highlighted considerable shortcomings. Below we discuss some of the main findings, and offer recommendations to improve on the current situation derived from our analysis (see Box 1).Box 1 Recommendations for the genetics community and biomedical journal editors from our analysis, for the reporting of genetic research in human populationsFull size table‘Ancestry’ was used to refer to research populations in more than a fifth of articles in our sample set. More than 50% of articles used genetic ancestry inferences to assign participants/samples to research population groupings—most often the label ‘ancestry’ or ‘genetic ancestry’ was conferred in the context of such a genomic analysis. Genetic ancestry inferences were carried out in a variety of ways, and described with a variety of levels of detail. However, about a third of the articles in which genetic ancestry or population stratification was assessed and corrected, did not describe the method by which this was done at all (Box 1. (1) and (3)).No article explicitly defined the meaning of the generic terms race, ethnicity or ancestry in context, or in relation to one another, even when both concepts were used within the same article. This was despite the terminology being used to label independent research variables in more than 50% of articles, and the acknowledged ambiguity of the construct of ‘race’ (Anonymous 2002; Long and Kittles 2009). Likewise, the concept of ancestry, despite its ostensibly objective basis, can be understood in multiple ways—for example genetic ancestry, geographical ancestry, biogeographical ancestry etc. (Royal et al. 2010; Via et al. 2009). Similarly, only one article explicitly discussed the relative and heuristic nature of inferred genetic ancestries and population models (Reich et al. 2009). Requiring authors to specifically define and differentiate of concepts of race, ethnicity, and ancestry would promote clarity for the reader about juxtapositions between genetic variation, population history and social identity. Equally productively, it might also engage researchers themselves in deeper thinking about these constructs (Box 1. (2)).Alternatives to race—for example ethnicity—often seem to come to be used and understood in the same way as race (Condit 2007; Oppenheimer 2001, Sankar and Cho 2002). There is some evidence of a similar definition slippage with respect to ‘ancestry’ in our dataset, most insidiously where inferred populations labels assigned through genetic ancestry assessment were referred to as races or ethnicities (Table 7). Again, requiring the definition of race, ethnicity and ancestry by authors would highlight their differing utility in addressing different biomedical questions, and assist in prising apart conflation between social and genetic identity.No article in our sample set discussed ethical or social implications of the reported research (Box 1. (4)), despite recent evidence suggesting geneticists are sensitive to these issues (Ali-Khan and Daar 2010; Caulfield et al. 2009; Lee et al. 2008; Smart et al. 2006). We note that the focus of the six journals from which our study sample was drawn is reporting scientific advances within the field of genetics. Thus, the absence of socio-ethical statements is perhaps not surprising, particularly given that geneticists themselves have emphasized a need for greater awareness and expertise on these issues amongst the authors of genetic studies (Ali-Khan and Daar 2010). Geneticists should consider building their capacity in this area, and/or include such experts on research teams. An important alternative, or in addition to requiring such statements by authors within research articles, would be the regular commissioning by genetics research journals of opinion and review articles by social scientists on the socio-ethical implications of recent genetics advances. In addition, we note a more recent article which provides an example of how socio-ethical concerns can be considered in implementing and reporting genetic studies (Patterson et al. 2010).About a third of articles did not provide a justification for why they studied the particular research population, or how stratifying by race, ethnicity, ancestry etc., was relevant to the hypothesis under investigation. Notably, articles using race/ethnicity were more likely to specify this information. While this is heartening with respect to the uptake of guidelines for race/ethnicity, it suggests there should be explicit discussion and extension of these to address the uses of ‘ancestry’. We note that many of the articles that did not state the reason for the use of a particular population, ostensibly used the samples for practical reasons not directly related to the research hypothesis—because they were available. In such cases, noting that ‘available samples were of ‘X’ origin’ where applicable would contribute to the transparency of the reported research, and may minimize the possibility for misinterpretation vis-à-vis the relationship between genetic and social identity.Various biomedical journals endorse different combinations of guidelines regarding race/ethnicity, culture, and nationality. However, many do not emphasize them in their online instructions to authors. Journal editors, as gatekeepers of publication standard, seem the intuitive choice to impose such requirements on authors. However, evidence suggests that editors do not feel qualified to develop and apply concrete rules with respect to race and ethnicity (Bhopal et al. 1997; Smart et al. 2006). More importantly, careful consideration of population naming, measurement and definition should occur during study design and research participant recruitment, not ad hoc. A lack of standards on application, definition, classification and measurement of race, ethnicity and ancestry within the genetics community has been noted (Royal et al. 2010; Smart et al. 2006), and personal communication from Dr. Steve Scherer. Such guidelines and standards should be most effective if they are generated through widespread consensus by the genetics community itself. Despite the attention directed to the use and reporting of populations in biomedical study over the last 15 years, our analysis suggests there is still an urgent need for the explicit engagement of these issues by geneticists ((Box 1. (5)), and in particular, to extend the discussion to the uses of ancestry and genetic ancestry ((Box 1. (1), (2), (3), (5)). This might be best achieved through the formation of a dedicated working group including representatives from the spectrum of countries and cultures. Such a group should spearhead discussion of extant guidelines, highlighting their importance for both scientific and socio-ethical reasons, and perhaps their revision and extension in light of the findings of the current study. Broad agreement on, and endorsement of guidelines by the genetics community globally would be a fundamental step forward. Such standards/requirements must then be supported, and consistently enforced by biomedical journal editors (Box 1. (6)).

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Download referencesAcknowledgmentsThis project was funded by Genome Canada through the Ontario Genomics Institute and the Ontario Research Fund—(Genome Canada Competition III), and supported by the McLaughlin-Rotman Centre for Global Health, an academic centre at the University Health Network and University of Toronto. We also sincerely thank Drs. Steve Scherer, Christian Marshall, Jim Lavery, and Ms. Billie-Jo Hardy for helpful conversations through the development of this study. We also thank our anonymous reviewers for their constructive comments.

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Author informationAuthors and AffiliationsMcLaughlin-Rotman Centre for Global Health, University Health Network and University of Toronto, 101 College St, Suite 406, Toronto, ON, M5G 1L7, CanadaSarah E. Ali-Khan, Tomasz Krakowski, Rabia Tahir & Abdallah S. DaarDepartment of Public Health Sciences and of Surgery, University of Toronto, Toronto, ON, M5S 1A8, CanadaAbdallah S. DaarMcLaughlin Centre for Molecular Medicine, University Health Network and University of Toronto, Toronto, ON, M5S 1A1, CanadaAbdallah S. DaarGrand Challenges Canada http://www.grandchallenges.caAbdallah S. DaarAuthorsSarah E. Ali-KhanView author publicationsYou can also search for this author in

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Reprints and permissionsAbout this articleCite this articleAli-Khan, S.E., Krakowski, T., Tahir, R. et al. The use of race, ethnicity and ancestry in human genetic research.

HUGO J 5, 47–63 (2011). https://doi.org/10.1007/s11568-011-9154-5Download citationReceived: 04 February 2011Revised: 27 April 2011Accepted: 17 June 2011Published: 07 July 2011Issue Date: December 2011DOI: https://doi.org/10.1007/s11568-011-9154-5Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard

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KeywordsRaceEthnicityAncestryGenetic ancestry inferenceTerminologyGenetic research

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Guidance on use of race, ethnicity, and geographic origin as proxies for genetic ancestry groups in biomedical publications | Nature Genetics

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Published: 13 March 2024

Guidance on use of race, ethnicity, and geographic origin as proxies for genetic ancestry groups in biomedical publications

W. Gregory Feero 

ORCID: orcid.org/0000-0002-1835-85241,2, Robert D. Steiner 

ORCID: orcid.org/0000-0003-4177-45903,4, Anne Slavotinek5,6, Tiago Faial 

ORCID: orcid.org/0000-0003-0864-12007, Michael J. Bamshad8,9, Jehannine Austin 

ORCID: orcid.org/0000-0003-0338-705510,11, Bruce R. Korf12,13, Annette Flanagin2 & …Kirsten Bibbins-Domingo2 Show authors

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In March 2023, the National Academies of Sciences, Engineering, and Medicine (NASEM) released a consensus study report titled Using Population Descriptors in Genetics and Genomics Research1. Sponsored by the US National Institutes of Health, the report is more than a discussion of the use of terminology; the authors of the NASEM report suggest a tectonic shift away from current models that use race, ethnicity, and geographic origin as proxies for genetic ancestry groups (that is, a set of individuals who share more similar genetic ancestries) in genetic and genomic science. The recommendations are rooted in evidence that genetic variation in individuals falls, in general, on a continuum of variation not captured well by existing population descriptors and that the ongoing use of such descriptors as analytical variables jeopardizes the scientific validity of research2. Furthermore, the authors of the NASEM report point out that current scientific practices can sometimes perpetuate harmful typological thinking about individuals, including racism.Shifting genetic and genomic science away from the pervasive and long-standing use of race, ethnicity, and geographic origins as tools for subdividing people presumed to have greater shared genetic ancestry will not be easy. The proposed changes have implications for genetic and genomic study design, data analysis, and results interpretation, and would require sustained support on the part of various stakeholders. The report offers a nuanced strategy to facilitate the shift, outlining a framework for behavior change for the field of human genetics founded on principles of respect, beneficence, equity and justice, validity and reproducibility, and transparency and replicability. These principles underlie the remaining three domains of the framework that include requisites for sustained change, specific guidance for the selection and use of population descriptors in genetics and genomics research, and strategies for implementation and accountability. A total of 13 recommendations are detailed in the report, each related to one of these domains. The recommendations encompass a wide variety of stakeholders in science from study participants to researchers to funders to biomedical journal editors.

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ReferencesNational Academies of Sciences, Engineering, and Medicine. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field (National Academies Press, 2023).Khan, A. T. et al. Cell Genom. 2, 100155 (2022).Whitman, A. et al. Addressing Social Determinants of Health: Examples of Successful Evidence-Based Strategies and Current Federal Efforts, report no. HP-2022-12; https://go.nature.com/4c2uUkx (ASPE, 2022).Flanagin, A., Frey, T. & Christiansen, S. L. JAMA 326, 621–627 (2021).Article 

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Download referencesAcknowledgementsWe thank S. Beachy for insightful comments on early drafts of the manuscript. We also thank V. L. Bonham Jr, K. Manickam and C. D. M. Royal for their review and comments. V. L. Bonham Jr’s review was conducted in his personal capacity and does not necessarily reflect the official position of the National Human Genome Research Institute, the National Institutes of Health, or the US Department of Health and Human Services.Author informationAuthors and AffiliationsMaine-Dartmouth Family Medicine Residency, Augusta, ME, USAW. Gregory FeeroJAMA https://jamanetwork.com/journals/jamaW. Gregory Feero, Annette Flanagin & Kirsten Bibbins-DomingoUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USARobert D. SteinerGenetics in Medicine https://www.nature.com/gim/Robert D. SteinerDepartment of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USAAnne SlavotinekAmerican Journal of Medical Genetics https://onlinelibrary.wiley.com/journal/15524833Anne SlavotinekNature Genetics https://www.nature.com/ng/Tiago FaialDepartments of Pediatrics and Genome Sciences, University of Washington, Seattle, WA, USAMichael J. BamshadHuman Genetics and Genomics Advances https://www.cell.com/hgg-advances/homeMichael J. BamshadDepartments of Psychiatry and Medical Genetics, University of British Columbia, Vancouver, British Columbia, CanadaJehannine AustinJournal of Genetic Counseling https://onlinelibrary.wiley.com/journal/15733599Jehannine AustinDepartment of Genetics, University of Alabama at Birmingham, Birmingham, AL, USABruce R. KorfThe American Journal of Human Genetics https://www.cell.com/ajhg/homeBruce R. KorfAuthorsW. Gregory FeeroView author publicationsYou can also search for this author in

PubMed Google ScholarRobert D. SteinerView author publicationsYou can also search for this author in

PubMed Google ScholarAnne SlavotinekView author publicationsYou can also search for this author in

PubMed Google ScholarTiago FaialView author publicationsYou can also search for this author in

PubMed Google ScholarMichael J. BamshadView author publicationsYou can also search for this author in

PubMed Google ScholarJehannine AustinView author publicationsYou can also search for this author in

PubMed Google ScholarBruce R. KorfView author publicationsYou can also search for this author in

PubMed Google ScholarAnnette FlanaginView author publicationsYou can also search for this author in

PubMed Google ScholarKirsten Bibbins-DomingoView author publicationsYou can also search for this author in

PubMed Google ScholarCorresponding authorCorrespondence to

W. Gregory Feero.Ethics declarations

Competing interests

R.D.S. reports receiving personal fees from Leadiant, Mirum, and PTC, and being an employee with equity from PreventionGenetics, part of Exact Sciences. A.S. reports receiving consulting fees from UptoDate. T.F. is chief editor of Nature Genetics. T.F. was not involved in the editorial handling or decision to accept this paper. His involvement has been disclosed internally to editorial directors at Springer Nature and approved. M.J.B. reports serving on the scientific advisory board of GeneDx and receiving research funding from GeneDx, Illumina, and PacBio. J.A. reports receiving personal fees for consulting from 23andme and from BC Mental Health and Substance Use Services, grants from Genome BC, and the Canadian Institutes of Health Research, outside the submitted work. B.R.K. reports serving on medical advisory boards to Alexion, SpringWorks, Infixion, Recursion, and Healx. No other disclosures were reported.

Additional informationEditorial Note: This article is being published in multiple journals: Genetics in Medicine, Human Genetics and Genomics Advances, The American Journal of Human Genetics, Nature Genetics, and JAMA, published by Elsevier Inc, Springer Nature America Inc. and JAMA Network. The articles are identical except for minor stylistic and spelling differences in keeping with each journal’s style. Either citation can be used when citing this article.Rights and permissionsReprints and permissionsAbout this articleCite this articleFeero, W.G., Steiner, R.D., Slavotinek, A. et al. Guidance on use of race, ethnicity, and geographic origin as proxies for genetic ancestry groups in biomedical publications.

Nat Genet (2024). https://doi.org/10.1038/s41588-024-01708-8Download citationPublished: 13 March 2024DOI: https://doi.org/10.1038/s41588-024-01708-8Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard

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Race and ethnicity facts and information

Race and ethnicity facts and information

Skip to contentNewslettersSubscribeMenuCULTUREEXPLAINERRace and ethnicity: How are they different?Race and ethnicity don't show up at the genetic level, but the concept of race still forms the human experience.The four letters of the genetic code —A, C, G, and T—are projected onto Ryan Lingarmillar, a Ugandan. DNA reveals what skin color obscures: Race is a construct.Photograph by Robin Hammond, Nat Geo Image CollectionByErin BlakemoreFebruary 22, 2019•4 min readRace and ethnicity are two concepts related to human ancestry. Race is defined as “a category of humankind that shares certain distinctive physical traits.” The term ethnicities is more broadly defined as “large groups of people classed according to common racial, national, tribal, religious, linguistic, or cultural origin or background.”“Race” is usually associated with biology and linked with physical characteristics such as skin color or hair texture. “Ethnicity” is linked with cultural expression and identification. However, both are social constructs used to categorize and characterize seemingly distinct populations.Ethnicities share a cultural background. Mea Shearim neighborhood, just outside of Damascus Gate in Jerusalem, is populated mainly by Haredi Jews.

Photograph by John Stanmeyer, Nat Geo Image CollectionGenetics and raceNeither race nor ethnicity is detectable in the human genome. Humans do have genetic variations, some of which were once associated with ancestry from different parts of the world. But those variations cannot be tracked to distinct biological categories. Genetic tests cannot be used to verify or determine race or ethnicity, though the tests themselves are associated with an increased belief in racial differences.Though race has no genetic basis, the social concept of race still shapes human experiences. Racial bias fuels social exclusion, discrimination and violence against people from certain social groups. In turn, racial prejudice confers social privilege to some and social and physical disparities to others, and is widely expressed in hierarchies that privilege people with white skin over people with darker skin colors.Categorizing raceRace and ethnicity are often regarded as the same, but the social and biological sciences consider the concepts distinct. In general, people can adopt or deny ethnic affiliations more readily than racial ones, though different ethnicities have been folded into racial categories during different periods of history.Religious customs also play a part in ethnicity. Here, worshipers celebrate the blessing of the water and washing of the Ethiopian Patriarchs' feet on Holy Thursday in the Old City in Jerusalem.

Photograph by John Stanmeyer, Nat Geo Image CollectionAs legal scholar Tanya K. Hernandez writes, “The social experience of being consistently viewed as distinct is what informs a racial identity, not a shared culture.” People who share an ethnicity may speak the same language, come from the same country, or share a religion or other cultural belief or expression.1:27The politics of raceThe United States government recognizes distinctions between the concept of race and ethnicity, and sorts individuals as White, Black or African American, Asian, American Indian and Alaska Native, Native Hawaiian and Other Pacific Islander, or “other.” It also recognizes two ethnicities: Hispanic or Latino and Not Hispanic or Latino. This demographic data in turn affects public policy and civil rights law.Humans share over 99 percent of their genetic material with one another, and variation occurs more between individuals than ethnic groups. Nevertheless, the legacies of racial and ethnic constructs can be spotted in everything from housing to health. Racial and ethnic prejudices affect the distribution of wealth, power, and opportunity, and create enduring social stratifications.Racial pride can foment racial prejudice, as in the case of white supremacists. But for members of groups marginalized because of race or ethnicity, involvement in activities that promote group pride can help lessen or offset the effects of racial discrimination and social prejudice. 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