13 datasets found
  1. N

    Russia, OH Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Russia, OH Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/9a059893-ef82-11ef-9e71-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Russia
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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

    With a zero Hispanic population, Russia is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 726 (99.05% of the total Non-Hispanic population).

    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the Russia
    • Population: The population of the racial category (for Non-Hispanic) in the Russia is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here

  2. N

    Russia, New York Non-Hispanic Population Breakdown By Race Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Russia, New York Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/9a059765-ef82-11ef-9e71-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Russia, New York
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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).

    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the Russia town
    • Population: The population of the racial category (for Non-Hispanic) in the Russia town is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia town total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Russia town Population by Race & Ethnicity. You can refer the same here

  3. f

    Table_2_Mapping Ethnic Stereotypes and Their Antecedents in Russia: The...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jul 16, 2019
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    Grigoryev, Dmitry; Fiske, Susan T.; Batkhina, Anastasia (2019). Table_2_Mapping Ethnic Stereotypes and Their Antecedents in Russia: The Stereotype Content Model.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000089516
    Explore at:
    Dataset updated
    Jul 16, 2019
    Authors
    Grigoryev, Dmitry; Fiske, Susan T.; Batkhina, Anastasia
    Area covered
    Russia
    Description

    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.

  4. f

    Table_1_Mapping Ethnic Stereotypes and Their Antecedents in Russia: The...

    • datasetcatalog.nlm.nih.gov
    Updated Jul 16, 2019
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    Fiske, Susan T.; Grigoryev, Dmitry; Batkhina, Anastasia (2019). Table_1_Mapping Ethnic Stereotypes and Their Antecedents in Russia: The Stereotype Content Model.DOC [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000089510
    Explore at:
    Dataset updated
    Jul 16, 2019
    Authors
    Fiske, Susan T.; Grigoryev, Dmitry; Batkhina, Anastasia
    Area covered
    Russia
    Description

    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.

  5. N

    Russia Township, Minnesota Non-Hispanic Population Breakdown By Race...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Russia Township, Minnesota Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/russia-township-mn-population-by-race/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Minnesota, Russia Township
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    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).

    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the Russia township
    • Population: The population of the racial category (for Non-Hispanic) in the Russia township is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia township total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Russia township Population by Race & Ethnicity. You can refer the same here

  6. Datasets and replication codes for "Middleman Minorities and Ethnic...

    • data.europa.eu
    • data.niaid.nih.gov
    • +1more
    unknown
    Updated Jul 19, 2024
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    Zenodo (2024). Datasets and replication codes for "Middleman Minorities and Ethnic Violence: Anti-Jewish Pogroms in the Russian Empire." Review of Economic Studies, 2020, Vol. 87(1), 289-342. DOI: 10.1093/restud/rdz001" [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-4907701?locale=cs
    Explore at:
    unknown(185960)Available download formats
    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  7. N

    Russian Mission, AK Non-Hispanic Population Breakdown By Race Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Russian Mission, AK Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/9a059ae7-ef82-11ef-9e71-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Russian Mission, Alaska
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Non-Hispanic population of Russian Mission by race. It includes the distribution of the Non-Hispanic population of Russian Mission across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Russian Mission across relevant racial categories.

    Key observations

    With a zero Hispanic population, Russian Mission is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is Two or more races (multiracial) with a population of 154 (76.24% of the total Non-Hispanic population).

    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the Russian Mission
    • Population: The population of the racial category (for Non-Hispanic) in the Russian Mission is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Russian Mission total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Russian Mission Population by Race & Ethnicity. You can refer the same here

  8. e

    Elite and expert interviews on non-territorial autonomy practices in Central...

    • b2find.eudat.eu
    Updated Apr 27, 2023
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    (2023). Elite and expert interviews on non-territorial autonomy practices in Central and Eastern Europe 2014-2017 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/8f6c26d6-d887-515e-b365-f271c7a43690
    Explore at:
    Dataset updated
    Apr 27, 2023
    Area covered
    Central and Eastern Europe, Europe
    Description

    This collection contains transcripts of interviews conducted during 2014-17 with representatives of minority autonomy bodies and minority NGOs, state officials, political party representatives and academic experts in Hungary, Russia, Estonia, Romania and Serbia. In Russia the interviews covered a wide range of different non-Russian ethnicity, but with particular emphasis on Tatar and Finno-Ugric minority communities. In all five country settings, interviews were also conducted with current and former politicians from across the ethno-political spectrum who had been actively involved in debates leading to the adoption (where relevant) of cultural autonomy legislation during the 1990s and beyond. This research was inspired by ongoing discussion of what is often called the the 'nationality' or 'minority' question in the former communist countries of Central and Eastern Europe (CEE): namely, how to integrate ethnically diverse societies according to democratic principles within the framework of existing state borders. The period since the fall of communism and the demise of the multinational USSR, Yugoslavia and Czechoslovakia has seen sustained efforts by international organisations (most especially the Council of Europe, OSCE and EU) to enact a credible national minority rights regime capable of preventing the emergence or resurgence of ethnic conflicts within this region. Minority rights are of course not simply an issue in relation to CEE: discussion of this region can be situated within the context of broader debates on integration of minority communities and the possibility of reconfiguring existing nation states along lines of democratic multiculturalism. One particular feature of recent minority rights development in CEE has been the adoption by several states of laws based on the principle of non-territorial cultural autonomy (NTCA). First elaborated in Austro-Hungary at the turn of the 20th century, NTCA is based on the premise that in an areas of ethnically mixed settlement, rights to minority autonomy cannot be allocated to particular territorial regions; rather, these rights must be allocated to public collectivities of persons, constituted on the basis of individual citizens freely associating to create their own institutions with responsibility for minority schooling and other cultural affairs. This model has attracted growing interest from contemporary scholars and practitioners of minority rights, who see it as possible way of conceptually separating ethnicity from territory and thereby alleviating fears that greater minority rights might undermine the stability and integrity of existing states. For all of this interest, however, there is still a lack of detailed comparative research on NTCA that seeks to determine the factors and agendas behind the revival of NTCA laws, the actual roles performed by NTCA institutions that have been established and the implications that NTCA carries for identity and the construction of statehood and political community within the post-communist CEE region. The broad aim of the research was to address this gap in the literature by conducting a thorough comparative analysis of debates and practices around NTCA in five states where the model has had particular salience in recent times: Estonia, Hungary, Romania, Russia and Serbia. The project also sought to set the findings from these CEE cases within a broader context through expert seminars involving academic theoreticians of NTCA as well as scholars and policymakers working in and on other states where NTCA is either used or mooted as a model for managing ethnic diversity. The findings are interesting and relevant not only academically, but also for organisations engaged in the development of a European minority rights regime. From a range of settings spanning the entire CEE region, including EU member, prospective member and partner states, the research gives a fuller and more nuanced understanding of whether NTCA is helping to integrate communities or whether it in fact reifies ethnic divisions. This data collection consists of transcripts of in-depth, semi-structured interviews with: representatives of minority cultural autonomy bodies, representatives of minority NGOs and political parties, state officials involved in the design and implementation of minority policy and academic experts working on issues of cultural autonomy and minority rights in Hungary (Budapest, Baranya County & Borsod County) Russia (Moscow, St Petersburg, Petrozavodsk, Kazan & Ufa), Estonia (Tallinn, Tartu & Noarootsi), Romania (Cluj, Bucharest & Mures, Harghita & Covasna Counties) and Serbia (Vojvodina Province). The research focused primarily on the following minority communities: Hungarian (in Romania & Serbia); Ingrian Finnish, Swedish and Russian (in Estonia); German and Roma (in Hungary). In each case, interviews were initially requested with key individuals and institutions identified through secondary background research. Once in-country fieldwork began and interviews were underway, a snowballing method was used to identify further relevant contacts and approach them for interview.

  9. e

    Yugoslav Public Opinion 1995 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Aug 23, 2011
    + more versions
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    (2011). Yugoslav Public Opinion 1995 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/cd15bb4c-72b9-596e-bab7-4c45d71810f9
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    Dataset updated
    Aug 23, 2011
    Area covered
    Yugoslavia
    Description

    Behavior at the polls, questions on the political system, the nationality conflict as well as on media. Topics: Nationality; religiousness; language spoken at home; understanding other languages; possession of radio, television, video recorder, telephone, computer, car; technical prerequisites for radio reception; cabel or satellite access; email access; frequency of media usage in the last 3 months; trust in local media; most reliable source of information; frequency of listening to domestic and foreign radio stations; preferred broadcasts; listening to "Radio Free Europe", "Voice of America" and "BBC" as well as preferred broadcast times; interest in politics; business, ethnic questions, media, science, environment, health, family, art, culture, history, law and religion; importance of extent to which informed politically; frequency of political discussions; development direction of the country; trust in institutions; stand on leading politicians of the country; stand on the countries Albania, Bulgaria, France, Greece, Croatia, Hungary, Macedonia, Germany, Romania, Russia, USA, Slovenia and Great Britain and to ethnic groups in Yugoslavia; satisfaction with the economic situation of the country; economic situation in comparison with that of a year ago; satisfaction with personal standard of living; development of standard of living in a year; development pace of economic changes; privatization of medium-sized companies; preferred economic form for the country; expectations and results of the economic programs of D. Avramovic; newest peace plan for Bosnia/Herzegovina; prospects for peace; persons primarily responsible for the problems; preferred solution of the refugee problem; expected end of the UN sanctions against Yugoslavia; danger of a civil war; Yugoslavia as federation of Serbia and Montenegro; solving the Kosovo problem; possible forms of cooperation of Yugoslavia, Croatia, Slovenia and the Muslim-Croatian part of Bosnia/Herzegovina; time of EU and NATO membership of Yugoslavia; election participation and decision at the last election and in the next election; reasons for voting decision; fulfillment of the election promises of the socialist party; greatest problems of the country; assessment of socialism; secure job versus high income; parties as representation of interests of farmers, workers, intelligentsia, entrepreneurs, schoolchildren and students, pensioners, of the entire population; support of the policies of Milosevic; geographic identity; stand on foreign investments, Jews, American influence in Yugoslavia, military presence of America in Europe, responsibility of the individual, maintenance of Yugoslav sovereignty under all circumstances and to the break-of the USSR; freedom of the press. Wahlverhalten, Fragen zum politischen System und zum Nationalitätenkonflikt sowie zu Medien. Themen: Nationalität; Religiosität; zu Hause gesprochene Sprache; Verstehen anderer Sprachen; Besitz von Radio, Fernseher, Videorecorder, Telefon, Computer, Auto; technische Voraussetzungen für den Radioempfang; Kabel- bzw. Satellitenanschluß; Email-anschluß; Häufigkeit des Medienkonsums in den letzten 3 Monaten; Vertrauen in einheimische Medien; zuverlässigste Informationsquelle; Häufigkeit des Hörens in- und ausländischer Radiostationen; präferierte Sendungen; Hören von "Radio Free Europe", "Voice of America" und "BBC" sowie präferierte Sendezeiten; Interesse an Politik; Wirtschaft, ethnischen Fragen, Medien, Wissenschaft, Umwelt, Gesundheit, Familie, Kunst, Kultur, Geschichte, Recht und Religion; Wichtigkeit politischer Informiertheit; Häufigkeit politischer Diskussionen; Entwicklungsrichtung des Landes; Vertrauen in Institutionen; Haltung zu den führenden Politikern des Landes; Haltung zu den Ländern Albanien, Bulgarien, Frankreich, Griechenland, Kroatien, Ungarn, Mazedonien, Deutschland, Rumänien, Rußland, USA, Slovenien und Großbritannien und zu ethnischen Gruppen in Jugoslawien; Zufriedenheit mit der ökonomischen Situation des Landes; ökonomische Situation im Vergleich zu der vor einem Jahr; Zufriedenheit mit eigenem Lebensstandard; Entwicklung des Lebensstandard in einem Jahr; Entwicklungstempo der ökonomischen Veränderungen; Privatisierung von mittleren Unternehmen; präferierte Wirtschaftsform für das Land; Erwartungen und Ergebnisse des Ökonomischen Programms von D. Avramovic; neuester Friedensplan für Bosnia/Herzegowina; Friedensaussichten; Hauptverantwortliche für die Probleme; präferierte Lösung des Flüchtlingsproblems; voraussichtliches Ende der UN-Sanktionen gegen Jugoslawien; Gefahr eines Bürgerkrieges; Jugoslawien als Föderation von Serbien und Montenegro; Lösung des Kosovo-Problems; mögliche Formen der Zusammenarbeit von Jugoslawien, Kroatien, Slovenien und dem muslemisch-kroatischen Teil von Bosnien/Herzegowina; Zeitpunkt der EU- und NATO-Mitgliedschaft Jugoslawiens; Wahlbeteiligung und -entscheidung bei der letzten Wahl und bei der nächsten Wahl; Gründe für Wahlentscheidung; Erfüllung der Wahlversprechen der sozialistischen Partei; größte Probleme des Landes; Einschätzung des Sozialismus; sicherer Arbeitsplatz versus hohes Einkommen; Parteien als Interessenvertreter der Bauern, Arbeiter, Intelligenz, Unternehmer, Schüler und Studenten, Rentner, der ganzen Bevölkerung; Unterstützung der Politik von Milosevic; geographische Identität; Haltung zu ausländischen Investitionen, Juden, amerikanischen Einfluß in Jugoslawien, militärischen Präsenz Amerikas in Europa, Verantwortung des Einzelnen, Aufrechterhaltung der jugoslawischen Souveränität unter allen Umständen und zum Zusammenbruch der UdSSR; Pressefreiheit.

  10. N

    Median Household Income by Racial Categories in Russia, New York (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Russia, New York (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e0bf0f16-f665-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Russia, New York
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Russia town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Russia town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 92.97% of the total residents in Russia town. Notably, the median household income for White households is $89,079. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $89,079.

    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Russia town.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Russia town median household income by race. You can refer the same here

  11. e

    Yugoslav Public Opinion 1995 Javno mnenje u Jygoslavii, 1995 - Dataset -...

    • b2find.eudat.eu
    Updated Mar 4, 2023
    + more versions
    Share
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    (2023). Yugoslav Public Opinion 1995 Javno mnenje u Jygoslavii, 1995 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/70b558ec-fabd-5786-9550-1d30adc342b7
    Explore at:
    Dataset updated
    Mar 4, 2023
    Area covered
    Jugoslawien
    Description

    Wahlverhalten, Fragen zum politischen System und zumNationalitätenkonflikt sowie zu Medien. Themen: Nationalität; Religiosität; zu Hause gesprochene Sprache;Verstehen anderer Sprachen; Besitz von Radio, Fernseher, Videorecorder,Telefon, Computer, Auto; technische Voraussetzungen für denRadioempfang; Kabel- bzw. Satellitenanschluß; Email-anschluß; Häufigkeitdes Medienkonsums in den letzten 3 Monaten; Vertrauen in einheimischeMedien; zuverlässigste Informationsquelle; Häufigkeit des Hörens in- undausländischer Radiostationen; präferierte Sendungen; Hören von "RadioFree Europe", "Voice of America" und "BBC" sowie präferierteSendezeiten; Interesse an Politik; Wirtschaft, ethnischen Fragen,Medien, Wissenschaft, Umwelt, Gesundheit, Familie, Kunst, Kultur,Geschichte, Recht und Religion; Wichtigkeit politischer Informiertheit;Häufigkeit politischer Diskussionen; Entwicklungsrichtung des Landes;Vertrauen in Institutionen; Haltung zu den führenden Politikern desLandes; Haltung zu den Ländern Albanien, Bulgarien, Frankreich,Griechenland, Kroatien, Ungarn, Mazedonien, Deutschland, Rumänien,Rußland, USA, Slovenien und Großbritannien und zu ethnischen Gruppen inJugoslawien; Zufriedenheit mit der ökonomischen Situation des Landes;ökonomische Situation im Vergleich zu der vor einem Jahr; Zufriedenheitmit eigenem Lebensstandard; Entwicklung des Lebensstandard in einemJahr; Entwicklungstempo der ökonomischen Veränderungen; Privatisierungvon mittleren Unternehmen; präferierte Wirtschaftsform für das Land;Erwartungen und Ergebnisse des Ökonomischen Programms von D. Avramovic;neuester Friedensplan für Bosnia/Herzegowina; Friedensaussichten;Hauptverantwortliche für die Probleme; präferierte Lösung desFlüchtlingsproblems; voraussichtliches Ende der UN-Sanktionen gegenJugoslawien; Gefahr eines Bürgerkrieges; Jugoslawien als Föderation vonSerbien und Montenegro; Lösung des Kosovo-Problems; mögliche Formen derZusammenarbeit von Jugoslawien, Kroatien, Slovenien und demmuslemisch-kroatischen Teil von Bosnien/Herzegowina; Zeitpunkt der EU-und NATO-Mitgliedschaft Jugoslawiens; Wahlbeteiligung und -entscheidungbei der letzten Wahl und bei der nächsten Wahl; Gründe fürWahlentscheidung; Erfüllung der Wahlversprechen der sozialistischenPartei; größte Probleme des Landes; Einschätzung des Sozialismus;sicherer Arbeitsplatz versus hohes Einkommen; Parteien alsInteressenvertreter der Bauern, Arbeiter, Intelligenz, Unternehmer,Schüler und Studenten, Rentner, der ganzen Bevölkerung; Unterstützungder Politik von Milosevic; geographische Identität; Haltung zuausländischen Investitionen, Juden, amerikanischen Einfluß inJugoslawien, militärischen Präsenz Amerikas in Europa, Verantwortung desEinzelnen, Aufrechterhaltung der jugoslawischen Souveränität unter allenUmständen und zum Zusammenbruch der UdSSR; Pressefreiheit. Behavior at the polls, questions on the political system, thenationality conflict as well as on media.Topics: Nationality; religiousness; language spoken at home;understanding other languages; possession of radio, television, videorecorder, telephone, computer, car; technical prerequisites for radioreception; cabel or satellite access; email access; frequency of mediausage in the last 3 months; trust in local media; most reliable sourceof information; frequency of listening to domestic and foreign radiostations; preferred broadcasts; listening to "Radio Free Europe", "Voiceof America" and "BBC" as well as preferred broadcast times; interest inpolitics; business, ethnic questions, media, science, environment,health, family, art, culture, history, law and religion; importance ofextent to which informed politically; frequency of politicaldiscussions; development direction of the country; trust ininstitutions; stand on leading politicians of the country; stand on thecountries Albania, Bulgaria, France, Greece, Croatia, Hungary,Macedonia, Germany, Romania, Russia, USA, Slovenia and Great Britain andto ethnic groups in Yugoslavia; satisfaction with the economic situationof the country; economic situation in comparison with that of a yearago; satisfaction with personal standard of living; development ofstandard of living in a year; development pace of economic changes;privatization of medium-sized companies; preferred economic form for thecountry; expectations and results of the economic programs of D.Avramovic; newest peace plan for Bosnia/Herzegovina; prospects forpeace; persons primarily responsible for the problems; preferredsolution of the refugee problem; expected end of the UN sanctionsagainst Yugoslavia; danger of a civil war; Yugoslavia as federation ofSerbia and Montenegro; solving the Kosovo problem; possible forms ofcooperation of Yugoslavia, Croatia, Slovenia and the Muslim-Croatianpart of Bosnia/Herzegovina; time of EU and NATO membership ofYugoslavia; election participation and decision at the last election andin the next election; reasons for voting decision; fulfillment of theelection promises of the socialist party; greatest problems of thecountry; assessment of socialism; secure job versus high income; partiesas representation of interests of farmers, workers, intelligentsia,entrepreneurs, schoolchildren and students, pensioners, of the entirepopulation; support of the policies of Milosevic; geographic identity;stand on foreign investments, Jews, American influence in Yugoslavia,military presence of America in Europe, responsibility of theindividual, maintenance of Yugoslav sovereignty under all circumstancesand to the break-of the USSR; freedom of the press. Mündliche Befragung mit standardisiertem Fragebogen Face-to-face interview with standardized questionnaire Personen ab 18 Jahren aus der Wohnbevölkerung Persons 18 years old and older from the residential population Auswahlverfahren Kommentar: Quotenauswahl

  12. e

    Public Opinion in Serbia 1993 Javno mnenje u Srbiji 1993. godine - Dataset -...

    • b2find.eudat.eu
    Updated Jul 29, 2025
    + more versions
    Share
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    (2025). Public Opinion in Serbia 1993 Javno mnenje u Srbiji 1993. godine - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/a3653015-5870-5bd7-879d-8d9c38eeba96
    Explore at:
    Dataset updated
    Jul 29, 2025
    Area covered
    Serbien
    Description

    Wahlverhalten, Fragen zum politischen System, der Konflikt in Bosnienund Herzegowina und Medien. Themen: Region; Nationalität; Religiosität; Entwicklungsrichtung derGesellschaft; Politikinteresse; Vertrauen in Institutionen; Haltung zuden führenden Politikern des Landes; Politiker mit dem größtenVertrauen; Haltung zu den Ländern Bulgarien, Griechenland, Deutschland,Rumänien, Rußland, USA, Türkei und zu ethnischen Gruppen imgegenwärtigen und früheren Jugoslawien; präferierte ethnischeZusammensetzung eines Landes; Kriegsgefahr und potentielle Angreifer;Notwendigkeit des internationalen Eingreifens im Konflikt um Bosnien undHerzegowina; Erfüllung der UN-Auflagen; Vance-Owen-Plan; Regelung derGebietsansprüche; Unterstützung des Kampfes der Serben; vermutete Dauerdes Konflikts in Bosnien und Herzegowina; Objektivität der ausländischenMedienberichterstattung; präferierte Lösung des Konflikts und Umfang derBemühungen der EU, UN, USA und Rußlands; erwartete Unterstützung derSerben auf dem gesamten Gebiet des früheren Jugoslawiens durch dieserbische Regierung; Haltung zu den verhängten UN-Sanktionen;Einschätzung der gegenwärtigen ökonomischen Situation, der vor und derin einem Jahr; Einfluß der UN-Sanktionen auf die finanzielle Situationdes eigenen Haushalts; Wahlbeteiligung und -entscheidung bei der letztenWahl und bei der nächsten Wahl; Gründe für Wahlentscheidung;grundsätzlich abgelehnte Parteien; Einschätzung der nächsten Wahlen alsehrlich; zuverlässigste Informationsquellen bezüglich der Wahlen;Einfluß der Medien auf Wahlentscheidung; Parteienpräferenz; Rezeptionausländischer Radiosender; Interesse am Radiosender "Radio Free Europe",präferierte Empfangszeiten und Sendungsinhalte; technische Ausstattungfür den Radioempfang; Wichtigkeit von in- und ausländischenRadiostationen; Unterstützung der Politik von Präsident Milosovic;Haltung zur Absetzung des Parlaments durch den Präsidenten; politischerProtest gegen Milosovic; präferierte Lösung des Kosovo-Problems;Vorstellungen über Gebietsansprüche, Selbstkontrolle, Anarchie, starkeFührer und über den Einfluß der USA; Verbundenheit mit dem Wohnort,Beruf, Nationalität, Religion und Land; Parteineigung; vermuteterWahlsieger und Gründe dafür; Erwartungen bei der Wiederwahl derRegierung; Gründe für die wiederholten Wahlsiege der Sozialisten;Erfüllung der Wahlversprechen der Sozialisten seit der letzten Wahl;Haltung zum Konflikt zwischen Sozialisten und Radikalen; wählbareParteien. Behavior at the polls, questions on the political system, theconflict in Bosnia and Herzegovina and media.Topics: Region; nationality; religiousness; direction of developmentof society; interest in politics; trust in institutions; stand onleading politicians of the country; politicians with the greatesttrust; stand on the countries Bulgaria, Greece, Germany, Romania,Russia, USA, Turkey and on ethnic groups in current and formerYugoslavia; preferred ethnic composition of a country; danger of warand potential aggressors; necessity of international intervention inthe conflict over Bosnia and Herzegovina; fulfillment of the UNconditions; Vance-Owen-Plan; ruling territorial claims; support ofthe struggle of the Serbs; assumed length of the conflict in Bosnaand Herzegovina; objectivity of foreign media reporting; preferredsolution of the conflict and extent of efforts of the EU, UN, USA andRussia; expected support for Serbs on the entire territory of formerYugoslavia by the Serbian government; stand to the UN sanctionsimposed; assessment of the current economic situation, that of a yearago and a year in the future; influence of UN sanctions on thefinancial situation of one's own household; election participationand decision at the last election and in the next election; reasonsfor voting decision; parties rejected in principle; assessment of thenext elections as honest; most reliable sources of informationregarding the elections; influence of media on voting decision; partypreference; receiving foreign radio stations; interest in the radiostation "Radio Free Europe", preferred reception times and broadcastcontents; technical equipment for radio reception; importance ofdomestic and foreign radio stations; support of the policies ofpresident Milosovic; stand on dissolution of parliament by thepresident; political protest against Milosovic; preferred solution ofthe Kosovo problem; ideas about territory claims, self-supervision,anarchy, strong leaders and about influence of the USA; solidaritywith place of residence, occupation, nationality, religion and state;party inclination; assumed election winner and reasons for this;expectations in re-election of the government; reasons for therepeated election victories of the Socialists; fulfillment of theelection promises of the Socialists since the last election; stand onthe conflict between Socialists and radicals; parties one can vote for. Mündliche Befragung mit standardisiertem Fragebogen Face-to-face interview with standardized questionnaire Personen ab 18 Jahren aus der Wohnbevölkerung Persons 18 years old and older from the residential population Auswahlverfahren Kommentar: Quotenauswahl

  13. N

    Russia, OH median household income breakdown by race betwen 2013 and 2023

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Russia, OH median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed3386f0-f665-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Russia
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Russia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Russia, the median household income for the households where the householder is White decreased by $13,314(14.83%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $89,772 in 2013 and $76,458 in 2023.
    • Black or African American: As per the U.S. Census Bureau population data, in Russia, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

    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:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Russia.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Russia median household income by race. You can refer the same here

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Close
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Neilsberg Research (2025). Russia, OH Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/9a059893-ef82-11ef-9e71-3860777c1fe6/

Russia, OH Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition

Explore at:
json, csvAvailable download formats
Dataset updated
Feb 21, 2025
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Ohio, Russia
Variables measured
Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
Dataset funded by
Neilsberg Research
Description
About this dataset

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

With a zero Hispanic population, Russia is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 726 (99.05% of the total Non-Hispanic population).

Content

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:

  • White
  • Black or African American
  • American Indian and Alaska Native
  • Asian
  • Native Hawaiian and Other Pacific Islander
  • Some other race
  • Two or more races (multiracial)

Variables / Data Columns

  • Race: This column displays the racial categories (for Non-Hispanic) for the Russia
  • Population: The population of the racial category (for Non-Hispanic) in the Russia is shown in this column.
  • % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further 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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