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The dataset tabulates the Non-Hispanic population of Russia by race. It includes the distribution of the Non-Hispanic population of Russia across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Russia across relevant racial categories.
Key observations
Of the Non-Hispanic population in Russia, the largest racial group is White alone with a population of 82 (97.85% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/russia-oh-population-by-race-and-ethnicity.jpeg" alt="Russia Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here
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TwitterIn Soviet Russia (RSFSR) in 1939 and 1959, ethnic Russians made up the largest share of the total population, with a share of approximately 83 percent. Tatars were the second largest ethnic group, followed by Ukrainians. Russians were consistently the largest ethnic group in the Soviet Union as a whole, with an overall share of 53 percent in 1979.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Russia by race. It includes the population of Russia across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russia across relevant racial categories.
Key observations
The percent distribution of Russia population by race (across all racial categories recognized by the U.S. Census Bureau): 99.29% are white and 0.71% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Russia by race. It includes the population of Russia across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russia across relevant racial categories.
Key observations
The percent distribution of Russia population by race (across all racial categories recognized by the U.S. Census Bureau): 99.05% are white and 0.95% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Russia town by race. It includes the population of Russia town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russia town across relevant racial categories.
Key observations
The percent distribution of Russia town population by race (across all racial categories recognized by the U.S. Census Bureau): 92.97% are white, 0.91% are Black or African American, 0.71% are American Indian and Alaska Native, 0.36% are Asian and 5.04% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia town Population by Race & Ethnicity. You can refer the same here
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TwitterAs of December 2021, 37 percent of Russians would not let Roma people in the country. As the survey revealed, that group ranked as the one to which Russians were most ethnophobic. However, 29 percent of respondents did not mind seeing Roma as Russian residents.
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TwitterThis graph shows the total population of the Russian Partition, sometimes known as Russian Poland, between the years 1815 and 1897. In the late eighteenth century the Polish-Lithuanian Commonwealth entered a period of political, military and economic decline and was its territories were then split between Austria, Prussia and Russia, and there was no official Polish state until 1918. The Russian Partition covered some of modern-day Poland, as well as much of Ukraine, Belarus, Lithuania and Latvia, and the number of ethnic Poles in these regions was much higher than it is today.
From the graph we can see that the population of this area was 2.6 million people in 1815, and it grew to be just under 9.5 million before the turn of the next century. This proved to be a tumultuous period in the region's history, including some rebellions and uprisings, and harsh Russification policies that made life difficult for the natives. Despite this turmoil, it is difficult to assess its impact on the local populations. We can see that growth in the 1850s and 1860s was stagnant and the population even dropped during this time, although there is no clear explanation for this today. Poland eventually became an independent state again in 1918 after the First World War, although the period after this would prove to be the most devastating in Poland's history.
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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.
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Context
The dataset tabulates the Non-Hispanic population of Russia town by race. It includes the distribution of the Non-Hispanic population of Russia town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Russia town across relevant racial categories.
Key observations
Of the Non-Hispanic population in Russia town, the largest racial group is White alone with a population of 2,340 (95.43% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia town Population by Race & Ethnicity. You can refer the same here
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Cystic fibrosis (CF) is a common monogenic disease caused by pathogenic variants in the CFTR gene. The distribution and frequency of CFTR variants vary in different countries and ethnic groups. The spectrum of pathogenic variants of the CFTR gene was previously studied in more than 1,500 CF patients from different regions of the European and North Caucasian region of Russia and the spectrum of the most frequent pathogenic variants of the CFTR gene and ethnic features of their distribution were determined. To assess the population frequency of CFTR gene mutations some of the common variants were analyzed in the samples of healthy unrelated individuals from the populations of the European part of the Russian Federation: 1,324 Russians from four European regions (Pskov, Tver, Rostov, and Kirov regions), representatives of five indigenous ethnic groups of the Volga-Ural region [Mari (n = 505), Udmurts (n = 613), Chuvash (n = 780), Tatars (n = 704), Bashkirs (n = 517)], and six ethnic groups of the North Caucasus [Karachay (n = 324), Nogais (n = 118), Circassians (n = 102), Abazins (n = 128), Ossetians (n = 310), and Chechens (n = 100)]. The frequency of common CFTR mutations was established in studied ethnic groups. The frequency of F508del mutation in Russians was found to be 0.0056 on average, varying between four regions, from 0.0027 in the Pskov region to 0.0069 in the Rostov region. Three variants W1282X, 1677delTA, and F508del were identified in the samples from the North Caucasian populations: in Karachay, the frequency of W1282X mutation was 0.0092, 1677delTA mutation – 0.0032; W1282X mutation in the Nogais sample – 0.0127, the frequency of F508del mutations was 0.0098 and 1677delTA – 0.0098 in Circassians; in Abazins F508del (0.0039), W1282X (0.0039) and 1677delTA (0.0117) mutations were found. In the indigenous peoples of the Volga-Ural region, the maximum frequency of the F508del mutation was detected in the Tatar population (0.099), while this mutation was never detected in the Mari and Bashkir populations. The E92K variant was found in Chuvash and Tatar populations. Thus, interethnic differences in the spectra of CFTR gene variants were shown both in CF patients and in healthy population of the European and North Caucasian part of Russia.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Russia population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Russia.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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TwitterAll the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Russia. Power Plant emissions from all power plants in Russia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/160
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TwitterWhen their country is at war, individuals express support for their government and hostility toward the foreign adversary, leading to the “rally ′round the flag” effect. What is less understood is how, during a rally, ethnic identity and proximity to conflict relate to attitudes toward the home state and the adversary. Moreover, individuals may feel pressure to answer patriotically when asked about the conflict, particularly individuals who share an ethnic identity with the majority population of the foreign adversary, leading to biased measures of opinion. We study these dynamics in the context of Ukraine's ongoing war with Russia, comparing responses from self-identified ethnic Ukrainians and Russians in four cities in Ukraine. Using a lab-based implicit association test (IAT) and survey with 600 respondents, we examine whether respondents’ implicit biases, reflexive preferences that are hard to manipulate, match their explicitly stated preferences for either Ukraine or Russia. We find that, on average, ethnic Ukrainians and Russians in Ukraine are explicitly and implicitly pro-Ukraine, although we observe slightly lower levels of pro-Ukraine bias among ethnic Russians. We also find that 70 percent of those who are implicitly pro-Russia are explicitly neutral or pro-Ukraine, highlighting the need to study implicit associations in sensitive settings.
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This dataset tracks annual two or more races student percentage from 2017 to 2023 for Russia Local School District vs. Ohio
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We examine ethnic divisions in conflict-affected and post-conflict societies. Conventional wisdom tells us that societies that have experienced violent struggles in which individuals of different ethnic groups have (been) mobilized against each other are likely to become ossified along ethnic lines. Indeed, both policy-makers and scholars often assume that such divisions are one of the main challenges that must be overcome to restore peace after war. We comparatively assess this hypothesis by mapping dimensions of social distance among 4,000 survey respondents in Bosnia and the North Caucasus region of Russia. The surveys were carried out in December 2005. Using multidimensional scaling, we do not find evidence for clear attitudinal cleavages among members of different ethnic groups in Bosnia. Nor do we find strong evidence for ethnic divisions in the North Caucasus, although our measurements of social distance reveal a difference between Russians and ethnic minority groups.
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Datasets and replication codes for: Grosfeld, Irena, Seyhun Orcan Sakalli, and Ekaterina Zhuravskaya. 2020. "Middleman Minorities and Ethnic Violence: Anti-Jewish Pogroms in the Russian Empire. " Review of Economic Studies, Vol. 87(1), 289-342. DOI: 10.1093/restud/rdz001(RESTUD Open Access) The included geocoded datasets that cover the Russian Empire, they include data on: - Pogroms - Ethnicity, occupational composition across ethnicities, and other population statistics - Grain yields, grain prices, and crop failures - Seasonal temperature - Political turmoil - Violence against Jews before 1800 - Antisemitic books in the 18th century
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Context
The dataset tabulates the Russia town population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Russia town.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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We examine inter-ethnic trust in Bosnia and the North Caucasus region of Russia, two ethnically diverse, post-communist societies, which at times have been racked by inter-ethnic and/or separatist conflicts. We survey attitudes and preferences towards the contemporary situation, revealing that there is substantial inter-ethnic trust in the North Caucasus, while the Bosnian respondents are in general less trusting. Consistent with research in social psychology, we find that respondents who do not express strong ethnic pride and with friends from a variety of ethnic backgrounds are more likely to trust members of other national groups. Furthermore, respondents who doubt that the current situation is improving are less likely to say they trust members of other ethnic groups. While we expected personal experiences with ethnic violence to have a negative impact on inter-ethnic trust, we find the opposite: Survey respondents with personal experiences of ethnic violence are more likely to express trust in members of other ethnic groups. To further examine these results, we investigate differences across ethnic groups in the two survey regions. In order to improve the validity and comparability of survey responses from people of different (cultural, economic, and social) backgrounds, we use an anchoring vignette, a technique that measures and corrects for response category incomparability, allowing for a better comparison of resp onses among and across these two societies.
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"Opinions and Views of the Population of Ukraine" is a regular omnibus survey, conducted by Kyiv International Institute of Sociology (KIIS) among Ukraine's adult population and covering a wide range of topics. The data presented here is a subset of the survey conducted in September-October 2024 and include KIIS's own research questions. Topics covered by the survey include: readiness for concessions for peace, and acceptability of hypothetical territorial concessions to Russia; views on Western support for Ukraine in the context of the ongoing Russo-Ukrainian war; perception of Russia's resilience and how long Ukrainians are ready to bear the burden of war; attitudes toward Russia and Russian citizens; trust in President Volodymyr Zelenskyy; perceptions of recent anti-corruption efforts in Ukraine; evaluation of national identity based on ethnic origin, language, and geographic location; social acceptance of various groups in different societal roles (refugees, internally displaced persons, residents of occupied territories, Russian-speaking Ukrainians, and citizens of Ukraine who identify as ethnically Russian). Data collection took place from September 20 to October 03, 2024. Some of the survey questions were asked to all respondents (n=2,004), while others were directed to a sub-sample of 989 respondents. The data is available in an SAV format (Ukrainian, English) and a converted CSV format (with a codebook). The Data Documentation (pdf file) also includes a short overview and discussion of survey results as well as the relevant parts of the original questionnaire.
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Context
The dataset tabulates the Non-Hispanic population of Russia township by race. It includes the distribution of the Non-Hispanic population of Russia township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Russia township across relevant racial categories.
Key observations
With a zero Hispanic population, Russia township is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 47 (100% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia township Population by Race & Ethnicity. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Russia by race. It includes the distribution of the Non-Hispanic population of Russia across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Russia across relevant racial categories.
Key observations
Of the Non-Hispanic population in Russia, the largest racial group is White alone with a population of 82 (97.85% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/russia-oh-population-by-race-and-ethnicity.jpeg" alt="Russia Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here