This ethnicity dataset (GREG) is a digital version of the paper Soviet Narodov Mira atlas created in 1964. In 2010 the GREG (Geo-referencing of ethnic groups) project, used maps and data drawn from the Narodov Mira atlas to create a GIS (Geographic Information Systems) version of the atlas (2010). ETH ZurichFirst developed by G.P. Murdock in the 1940s, is an ethnographic classification system on human behavior, social life and customs, material culture, and human-ecological environments (2003). University of California

The stereotype content model (SCM), originating in the United States and generalized across nearly 50 countries, has yet to address ethnic relations in one of the world’s most influential nations. Russia and the United States are somewhat alike (large, powerful, immigrant-receiving), but differ in other ways relevant to intergroup images (culture, religions, ideology, and history). Russian ethnic stereotypes are understudied, but significant for theoretical breadth and practical politics. This research tested the SCM on ethnic stereotypes in a Russian sample (N = 1115). Study 1 (N = 438) produced an SCM map of the sixty most numerous domestic ethnic groups (both ethnic minorities and immigrants). Four clusters occupied the SCM warmth-by-competence space. Study 2 (N = 677) compared approaches to ethnic stereotypes in terms of status and competition, cultural distance, perceived region, and four intergroup threats. Using the same Study 1 groups, the Russian SCM map showed correlated warmth and competence, with few ambivalent stereotypes. As the SCM predicts, status predicted competence, and competition negatively predicted warmth. Beyond the SCM, status and property threat both were robust antecedents for both competence and warmth for all groups. Besides competition, cultural distance also negatively predicted warmth for all groups. The role of the other antecedents, as expected, varied from group to group. To examine relative impact, a network analysis demonstrated that status, competition, and property threat centrally influence many other variables in the networks. The SCM, along with antecedents from other models, describes Russian ethnic-group images. This research contributes: (1) a comparison of established approaches to ethnic stereotypes (from acculturation and intergroup relations) showing the stability of the main SCM predictions; (2) network structures of the multivariate dependencies of the considered variables; (3) systematically cataloged images of ethnic groups in Russia for further comparisons, illuminating the Russian historical, societal, and interethnic context.

This statistic shows the share of ethnic groups in Australia in the total population. 33 percent of the total population of Australia are english.

Australia’s population

Australia’s ethnic diversity can be attributed to their history and location. The country’s colonization from Europeans is a significant reason for the majority of its population being Caucasian. Additionally, being that Australia is one of the most developed countries closest to Eastern Asia; its Asian population comes as no surprise.

Australia is one of the world’s most developed countries, often earning recognition as one of the world’s economical leaders. With a more recent economic boom, Australia has become an attractive country for students and workers alike, who seek an opportunity to improve their lifestyle. Over the past decade, Australia’s population has slowly increased and is expected to continue to do so over the next several years. A beautiful landscape, many work opportunities and a high quality of life helped play a role in the country’s development. In 2011, Australia was considered to have one of the highest life expectancies in the world, with the average Australian living to approximately 82 years of age.

From an employment standpoint, Australia has maintained a rather low employment rate compared to many other developed countries. After experiencing a significant jump in unemployment in 2009, primarily due to the world economic crisis, Australia has been able to remain stable and slightly increase employment year-over-year.

This map shows the percentage of people who identify as something other than non-Hispanic white throughout the US according to the most current American Community Survey. The pattern is shown by states, counties, and Census tracts. Zoom or search for anywhere in the US to see a local pattern. Click on an area to learn more. Filter to your area and save a new version of the map to use for your own mapping purposes.The Arcade expression used was: 100 - B03002_calc_pctNHWhiteE, which is simply 100 minus the percent of population who identifies as non-Hispanic white. The data is from the U.S. Census Bureau's American Community Survey (ACS). The figures in this map update automatically annually when the newest estimates are released by ACS. For more detailed metadata, visit the ArcGIS Living Atlas Layer: ACS Race and Hispanic Origin Variables - Boundaries.The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.Other maps of interest:American Indian or Alaska Native Population in the US (Current ACS)Asian Population in the US (Current ACS)Black or African American Population in the US (Current ACS)Hawaiian or Other Pacific Islander Population in the US (Current ACS)Hispanic or Latino Population in the US (Current ACS) (some people prefer Latinx)Population who are Some Other Race in the US (Current ACS)Population who are Two or More Races in the US (Current ACS) (some people prefer mixed race or multiracial)White Population in the US (Current ACS)Race in the US by Dot DensityWhat is the most common race/ethnicity?

(UNCLASSIFIED) There are three main ethnolinguistic groups that made up ethnicity in Liberia; Mel, Mande, and Kru. The ethnic mix of Liberia has contributed to a rich culture as well as ethnic tension. It is common for politics in West Africa to divide along ethnic lines. Ethnic tension along with poor economic and social conditions and political instability were the leading causes for the two recent civil wars in the country. This first began in 1989 when the National Patriotic Front of Liberia, led by Charles Taylor, rose up against the Kran dominant government lead by Samuel Doe. The first civil war ended in 1997 with Charles Taylor formally voted into power. During the civil war Taylor commonly targeted Muslim Mande populations and the Kran for being the two groups most associated with the Doe regime. The opposition to Taylor retaliated by attacking Christian sites. Taylor’s regime was chaotic which led to a second civil war that began in 1999 with full scale war in 2003; a cease fire was signed the same year which ended the civil war. The actions during both civil wars show how politics and ethnicity go hand in hand and can produce ethnoreligious violence. Many in Liberia participate in secret societies known as hale, this is the most controlling and unifying force in Liberian culture with most participants belonging to one or more societies. They are both religious and political in nature and lay out acceptable and unacceptable behavior. There are numerous different hale societies offering regulations on how someone should act in society. The two most important hale societies are the men’s Poro and the female’s Sande, with participants joining at puberty to be taught the ideals of manhood and womanhood. Initiations are secret and performed in the forest. Reports state that initiation into the Sande society often includes female genital mutilation while boys undergo circumcisions in the Poro society. Belonging to either the Poro or Sande society is so important among traditional communities that those who do not join are not considered a member of the village, clan, or tribe. Mande - The Mande people group is the largest ethnicity in Liberia and has multiple subgroups. Agriculture, trade, and animal husbandry are common economic activities among the Mande people. They are patrilineal and the oldest male serves as the lineage head. Class structure is also common among Mande people typically consisting of royal, noble, commoner, artisan, and former slave classes. The largest Mande subgroup are the Kpelle and alone they account for 20.3 percent of the total Liberian population. The Kpelle organize themselves into many chiefdoms each of which are led by a paramount chief. While mass conversion to Christianity happened in the nineteenth century many still practice indigenous belief systems either alone or in combination with Christianity. Mel - The Mel group in Liberia is comprised of the Kissi and the Gola, 4.8 percent and 4.4 percent of the population respectively. Most Kissi are either Christian, animists, or a combination of the two. A small population, roughly 9 percent, is Muslim. Most are subsistence farmers or urban laborers. During the first civil war they were in conflict with the Kran. Kru – The Kru are organized based on patrilineal relationships and divided in many subgroups. As with many other ethnic groups in the region, while many have converted to Christianity there is still a significant portion that still adheres to indigenous beliefs or incorporates them into Christianity. Indigenous beliefs are passed through folklores and proverbs. Attribute Table Field DescriptionsISO3 - International Organization for Standardization 3-digit country code ADM0_NAME - Administration level zero identification / name PEOPLEGP_1 - People Group level 1 PEOPLEGP_2 - People Group level 2 PEOPLEGP_3 - People Group level 3 PEOPLEGP_4 - People Group level 4 PEOPLEGP_5 - People Group level 5 ALT_NAMES - Alternative names or spellings for a people group COMMENTS - Comments or notes regarding the people group SOURCE_DT - Source one creation date SOURCE - Source one SOURCE2_DT - Source two creation date SOURCE2 - Source two CollectionThe feature class was constructed by combining information from Murdock’s Map of Africa (1959) with other anthropological literature pertaining to Liberian ethnicity. The information was then processed through DigitalGlobe’s AnthropMapper program to generate more accurate ethnic coverage boundaries. Anthromapper uses geographical terrain features, combined with a watershed model, to predict the likely extent of ethnic and linguistic influence. The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe is not responsible for the accuracy and completeness of data compiled from outside sources.Sources (HGIS)Anthromapper. DigitalGlobe, September 2014.Gonen, Amiram. The Encyclopedia of the Peoples of the World. New York: Henry Holt and Company, 1993.Levinson, David. Encyclopedia of World Cultures: Africa and the Middle East. Boston: G.K. Hall and Co., 1995.Minority Rights Group International. World Directory of Minorities and Indigenous Peoples, “Liberia Overview.” January 2005. Accessed September 23, 2014. http://www.minorityrights.org/directory.Murdock, George Peter. Tribal Map of Africa from Africa: Its Peoples and Their Culture History. New York: McGraw-Hill Book Co., January 1959.Olson, James S. The Peoples of Africa: An Ethnohistorical Dictionary. Westport: Greenworod Press, 1996.The Diagram Group. Encyclopedia African Peoples. London: Diagram Visual Information, 2000.Yakan, Mohamad Z. Almanac of African Peoples and Nations. New Brunswick: Transaction Publishers, 1999.Sources (Metadata)Central Intelligence Agency. The World FactBook, “Liberia.” June 20, 2014. Accessed September 22, 2014. https://www.cia.gov/index.html.Gonen, Amiram. The Encyclopedia of the Peoples of the World. New York: Henry Holt and Company, 1993.Humanitarian News and Analysis, “Liberia: FGM continues in rural secrecy.” September 24, 2008. Accessed September 23, 2014. http://www.irinnews.org/.Levinson, David. Encyclopedia of World Cultures: Africa and the Middle East. Boston: G.K. Hall and Co., 1995.Olson, James S. The Peoples of Africa: An Ethnohistorical Dictionary. Westport: Greenworod Press, 1996.The Diagram Group. Encyclopedia African Peoples. London: Diagram Visual Information, 2000.Vogel, Health. Blogging without Maps: a Journey through Liberia, “Societies within Society – The Secret Societies of Liberia.” June 16, 2012. Accessed September 23, 2014. http://bloggingwithoutmaps.blogspot.com/.Yakan, Mohamad Z. Almanac of African Peoples and Nations. New Brunswick: Transaction Publishers, 1999.

Global and regional incidence, prevalence and YLDs of PCOS.

The Registry of Peoples (ROP) provides standardized codes used for identifying the primary peoples of the world. ROP provides a reference list of identifiers representing discrete human aggregations, most of which are defined ethno-linguistically, though there are codes that are defined based on unique ethno-religious, socio-cultural, socio-linguistic, and/or socio-religious combinations.The Editor and Steward of the Registry of Peoples is Jim Courson, IMB (International Mission Board).Registry Contents1. Identifiers – The Registry provides a unique code and preferred name for each people.• ROP3 – ROP3 codes are the primary codes within the Registry of Peoples. ROP3 Codes are 6-digit, numeric fields that provide a unique identifier for each people. Each code is perpetual; it will not be used more than once, even if the people it identifies is removed from the database.• ROP3 PeopleName – ROP3 PeopleNames are identifiers recommended as standard reference names. Each reference name is based on the self-name or a representative construct name of a people as determined by the Registry Editor. These identifiers are stored in tblROP3people as PeopleName.2. Descriptors – The Registry provides two descriptors for each people group. A minimum of two descriptors is necessary to accurately define a people.• Location Descriptor – People live in an identifiable location. Each code will reference at least one location descriptor, although it will sometimes reference more, as many people groups of the world are spread across geo-political boundaries. Location descriptors (People in Country) are stored in tblROP3geoIndex and a Primary Location (PLOC) descriptor is identified in tblROP3people.• Language Descriptor – People communicate using language. Each code should include at least one language descriptor. As language for a given people group often varies by country, language descriptors are stored in tblROP3geoIndex and a Primary Language (PROL) descriptor is identified in tblROP3people.3. Hierarchy – The Registry includes a hierarchy that moves from Affinity Bloc to People Cluster to Kinship Group to People.• Registry Hierarchy – With the latest update, each code references a ROP2.5 Kinship Group code (tblROP25kinshipgroup). Each ROP2.5 Kinship Group code references a ROP2 People Cluster code (tblROP2peoplecluster). Each ROP2 People Cluster code references a ROP1 Affinity Bloc code (tblROP1affinitybloc).Code TablesCode Tables within the Registry of Peoples follow a naming convention that begins with tblROP.tblROP3 People is the primary code table of the registry, containing the ROP3 code and the recommended reference name for each people. Primary consideration is given to the name by which the people call themselves. Each ROP3 code references a ROP2.5 Kinship Group code (tblROP25kinshipgroup). For legacy code support, each ROP3 code also references a ROP2 People Cluster code (tblROP2peoplecluster).tblROP2.5 Kinship Group codes relate ROP3 peoples that share an ethnic kinship. Each ROP2.5 Kinship Group code references a ROP2 People Cluster code (tblROP2peoplecluster).tblROP2 People Cluster codes relate kinship groups of people that share a common identity. Each ROP2 People Cluster code references a ROP1 Affinity Bloc code (tblROP1affinitybloc).tblROP1 Affinity Bloc codes relate people clusters that share an affinity based on common language, history, or culture.tblROP3 GeoIndex is a linking table that cross-references each ROP3 People code to codes for one or more geographical locations in which the people are reported to live.Data RefreshData refreshes daily using a Microsoft Fabric Pipeline ETL