About this dataset

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.

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 (excluding ethnicity) for the Russia town
• Population: The population of the racial category (excluding ethnicity) 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 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

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

Selected demographics by census tracts in King County based on current American Community Survey 5 Year Average (ACS). Included demographics are: AGE AND SEX [Percent 65 and Over, Percent between 18 and 65, Percent 17 and Under, Percent Female, Percent Male], RACE AND ETHNICITY [Percent People of Color, Percent Hispanic/Latino, Percent Hawaiian/Pacific Islander Alone, Percent Asian Alone, Percent American Indian/Native Alaskan Alone, Percent Black/African American Alone, Percent White Alone], INCOME [Median Household Income, 200% of Federal Poverty Level], LANGUAGES [Percent Spanish Speakers, Percent Vietnamese Speakers, Percent Russian Speakers, Percent African Languages Speakers, Percent Chinese Speakers, Percent Korean Speakers]. Numbers and derived percentages are estimates based on the current year's ACS. GEO_ID_TRT is the key field and may be used to join to other demographic Census data tables

About this dataset

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.

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 (excluding ethnicity) for the Russia
• Population: The population of the racial category (excluding ethnicity) 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 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

Russia's capital, Moscow, was the largest city in the country with over **** million residents as of January 1, 2024. Less than a half of Moscow's population resided in Saint Petersburg, the second-most populous city in the country. The third-largest city, Novosibirsk, was located in the Siberian Federal District, being the highest-populated city in the Asian part of Russia. Why is Moscow so populated? The Russian capital is the center of political, industrial, business, and cultural life in Russia. Despite being one of the most expensive cities worldwide, it continues to attract people from Russia and abroad, with its resident population following a generally upward trend over the past decade. Wages in Moscow are higher than in Russia on average, and more opportunities for employment and investment are available in the capital. Furthermore, the number of people living in Moscow was forecast to continue rising, exceeding **** million by 2035. Urbanization in Russia In 2024, around *** million Russian residents lived in cities. That was approximately three-quarters of the country’s population. The urbanization rate increased steadily over the 20th century, leading to a decline in the rural population. Among the country’s regions, the Northwestern Federal District had the highest share of residents in urban areas, measured at ** percent. In the Central Federal District, the tendency was that more people moved to Moscow and cities in the Moscow Oblast.

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

About this dataset

Context

The dataset tabulates the population of Russian Mission by race. It includes the population of Russian Mission across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russian Mission across relevant racial categories.

Key observations

The percent distribution of Russian Mission population by race (across all racial categories recognized by the U.S. Census Bureau): 23.76% are American Indian and Alaska Native and 76.24% are multiracial.

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 (excluding ethnicity) for the Russian Mission
• Population: The population of the racial category (excluding ethnicity) 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 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

Abstract

The project uses public opinion polling to gather and then analyze a sample that represents the entire population of each of four different countries of Central Asia: Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan.

Geographic coverage

The project uses public opinion polling to gather and then analyze a sample that represents the entire population of the country.

Kind of data

Sample survey data [ssd]

Sampling procedure

For all four Central Asian countries in this survey, the sampling procedure is a three-stage stratified clustered one. Census data on the territorial dispersion of the population is used as the base to start the sampling methodology. The sampling procedure takes the total population of the country, considers geographic units within the country as either urban or rural, and then develops random procedures to select who to survey in three stages: first by randomly selected smaller geographic urban and units in each province (the primary sampling units or PSUs), second randomly chosing households within these units, and third, to randomly select which household member to interview in each household.

The sampling frame used to divide these four countries into smaller geographic units to randomly sample from differs slightly for each Central Asian country, based on differences in data availability on the population of the country and its dispersion. Subsequent sections explain the sampling methodology used and how this sampling frame differs in each country. Then all four countries have PSUs, random selection of households, and random sampling of individuals within households using the same methods.

Tajikistan has 4 provinces, with the city of Dushanbe then considered a separate fifth province. These provinces have 58 districts, with 17 cities and 7 settlements ("posyolok") of provincal submission. Districts incorporate rural settlements or villages, which are incorporated into rural districts ("djamoat dekhot" and "poselkovyi djamoat"). In total there are 23 cities (17 cities of provincal submission and 6 cities of district submission), 47 settlements (7 settlements of provincal submission and 40 settlements of district submission), 356 djamoat and 3,803 villages. The population of Tajikistan was 6,187,561 people, of whom 1,686,095 (27%) were urban, and 4,501,466 (73%) were rural as of January 20, 2000.

Several remote or inaccessible districts were excluded from the sample from since they are practically impossible to get to due to their remote location or absence of transportation. These are three districts in Sogd province, that have a population of 248,290 people, which is 0.1% o f the urban population of the country and 5.5% of the rural population - a total of 4.01% percent of the country.

The sampling frame for Tajikistan is based on the list of small territorial units (primary sampling units - PSUs) of three types:

• Villages - rural settlements subordinate to djamoats, each is a separate PSU.
• Parts of large rural settlements, divided into populations of between 2,504 and 4,835 inhabitants as separate PSUs.
• Parts of large urban settlements, divided into populations of between 2,450 and 4,903 inhabitants as separate PSUs.
• Like Kazakhstan and Kyrgyzstan, the sampling is three-stage stratified clustered sampling for Tajikistan. First, proportionate stratification is done by the population of provinces, with proportionate stratification by urban/rural population within provinces (except the city of Dushanbe which is all urban) and then a PPS-sampling of PSUs within these urban and rural strata. Second, sequential random sampling of households (Secondary Sampling Units - SSUs) is done in selected PSUs. Third, Kish grids are used to sample respondents within households.

For Tajikistan, 56 PSUs are randomly selected from the sampling frame, and between 7 people (for urban areas in Gorno-Badakhshan, which is a tiny proportion of the urban population of the country) and 29 respondent interviewed in each.

The sample distribution of the main demographic characteristics can be compared with census data from 1989 (with data from 2000 used instead in the nationality section). These data have changed substantially over fifteen years and the dramatic change in the economy, society, and polity with the civil war and other changes that have accompanied independence. The data are weighted, which somewhat reduces the typical disproportionate probability of selection of men and youth.

In comparison with the 2000 census nationality data, the number of Uzbeks has grown and the number of people of other nationalities (especially Russians) has appreciably diminished. This is due to high levels of unemployment and increased migration of Tajik men to Russia for work and, on the contrary, the settled way of life of many Uzbeks who have remained in agriculture. Second, census data overestimates the proportion of the titular nationality since belonging to this nation provides advantages in employment, careers, and education. In opinion polls, when no supporting documentation is required, respondents preferred to name their ethnicity as that which they actually identify themselves.

Mode of data collection

Face-to-face [f2f]

Research instrument

To perform questioning, the following documents have been prepared (attached): - Questionnaire (in Tajik and Russian languages). - Sets of cards (in Tajik and Russian languages). - Forms of the respondent' sampling and of households' visits records with Kish's cards (in Tajik and Russian languages). - Forms of the households' sampling in selected points of questioning (in Russian language). - Sampling instructions (in Tajik and Russian languages). - Instructions on households and respondents' sampling (in Russian and Tajik languages). - Examples how fill out sampling forms - Covering letter to local authorities and ID cards for interviewers (in Russian and Tajik languages).

Response rate

During the fieldwork, 88 cases of nonresponse were observed. The average response rate is about 94% (1,500 of 1,588 cases - due to using the sequential sampling of households the nonresponse had no effect on the final sample size). Generally, nonresponse was registered if a completed interview had not taken place, and an interviewer had made up to 3 callbacks. The response rate was 84.4% in urban areas and 98.9% in rural ones. In Dushanbe the response rate was 73.3%. Two-thirds (67.1%) of urban non-responses came from respondents not being at home; few emphatic refusals to participate were noted in Tajikistan.

According to the interviewers, the main (in the majority of cases) refusal was occupation (work). If in town its inhabitants spend the whole day at work, in village this is caused by cotton gathering season. Most refusals were due to the households or respondent's straightforward refusals to give an interview. Like in Uzbekistan or in other countries, these refusals are partially generated by insufficient capability of interviewers to persuade household or respondent to agree for conversation. The same goes for other household members' refusal to contact a required respondent. Plain and direct refusals are characteristic of urban population. In the next surveys we are envisaging particularly scrupulous training for interviewers, who will work in towns.

In 2023, around 43.37 million people in the United States spoke Spanish at home. In comparison, approximately 998,179 people were speaking Russian at home during the same year. The distribution of the U.S. population by ethnicity can be accessed here. A ranking of the most spoken languages across the world can be accessed here.

In 2025, India overtook China as the world's most populous country and now has almost 1.46 billion people. China now has the second-largest population in the world, still with just over 1.4 billion inhabitants, however, its population went into decline in 2023. Global population As of 2025, the world's population stands at almost 8.2 billion people and is expected to reach around 10.3 billion people in the 2080s, when it will then go into decline. Due to improved healthcare, sanitation, and general living conditions, the global population continues to increase; mortality rates (particularly among infants and children) are decreasing and the median age of the world population has steadily increased for decades. As for the average life expectancy in industrial and developing countries, the gap has narrowed significantly since the mid-20th century. Asia is the most populous continent on Earth; 11 of the 20 largest countries are located there. It leads the ranking of the global population by continent by far, reporting four times as many inhabitants as Africa. The Demographic Transition The population explosion over the past two centuries is part of a phenomenon known as the demographic transition. Simply put, this transition results from a drastic reduction in mortality, which then leads to a reduction in fertility, and increase in life expectancy; this interim period where death rates are low and birth rates are high is where this population explosion occurs, and population growth can remain high as the population ages. In today's most-developed countries, the transition generally began with industrialization in the 1800s, and growth has now stabilized as birth and mortality rates have re-balanced. Across less-developed countries, the stage of this transition varies; for example, China is at a later stage than India, which accounts for the change in which country is more populous - understanding the demographic transition can help understand the reason why China's population is now going into decline. The least-developed region is Sub-Saharan Africa, where fertility rates remain close to pre-industrial levels in some countries. As these countries transition, they will undergo significant rates of population growth.

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

About this dataset

Context

The dataset tabulates the population of Russia township by race. It includes the population of Russia township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russia township across relevant racial categories.

Key observations

The percent distribution of Russia township population by race (across all racial categories recognized by the U.S. Census Bureau): 100% are white.

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 (excluding ethnicity) for the Russia township
• Population: The population of the racial category (excluding ethnicity) 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 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

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 2,260 (93.39% of the total Non-Hispanic population).

Content

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:

• 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