In 2023, pollution of drinking water was the most concerning environmental issue in the United States according to both Democrats and Republicans. 64 percent of Democrats said they worried a great deal about drinking water quality, compared to 41 percent of Republicans. Meanwhile, 62 percent of Democrats said they worried a great deal about global warming or climate change, compared to just 14 percent of Republicans.

According to a survey conducted in 2022, ** percent of Americans believed that homelessness in the United States is a very serious problem. In comparison, ** percent of Democrats, ** percent of Republicans, and ** percent of Independents shared this belief.

This data collection is the 1990 version of a quadrennial study designed to investigate the opinions and attitudes of the general public and of a select group of opinion leaders (or elites) on matters relating to foreign policy. The primary objectives of this study were to define the parameters of public opinion within which decision makers must operate and to compare the attitudes of the general public with those of opinion leaders. For the purposes of this study, "opinion leaders" are defined as those who are in positions of leadership in government, academia, business and labor, the media, religious institutions, special interest groups, and private foreign policy organizations. Both general public and elite respondents were questioned regarding the biggest problems/foreign policy problems facing the United States today, spending levels for various federal government programs, the role of Congress in determining foreign policy, the impact of foreign policy on things such as prices and unemployment, economic aid to other nations, military aid/selling military equipment to other nations, the role of the United States in world affairs, the Bush administration's handling of various problems, government reactions to situations in Kuwait, Panama, and China, the importance of various countries to America's vital interests, possible threats/adversaries to the United States in coming years, and the use of United States military troops in other parts of the world. Other topics covered include the relative importance of several foreign policy goals, United States relations with the Soviet Union, Cuba, and Vietnam, NATO and keeping troops in western Europe, the military role of Japan and Germany, the economic unification of western Europe, the Israeli-Palestinian dispute, policy options to reduce dependence on foreign oil, the illegal drug problem, free trade, and the respondent's political party affiliation and the strength of that affiliation. In addition, general populace respondents were asked to indicate their level of political activity, how closely they followed news about several current issues and events, and to rate various foreign countries and American and foreign leaders on a feeling thermometer scale. Demographic characteristics such as religious preference, marital status, employment status, household composition, education, age, Hispanic origin, race, sex, and income also were gathered for these respondents.

A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

Judgement on the presence of American troops in West Germany. Topics: Most important problems of the FRG; attitude to participation of the FRG in the costs of stationing NATO military forces and to American troops remaining in the FRG; attitude to a reduction in American military forces; general judgement on the American soldiers; perceived changes in the relationship of American soldiers to the German civilian population; criticism of the way of life of American soldiers; frequency of contact with American soldiers after the war; attitude to construction of housing settlements for the families living in Germany; perception of the Americans as occupying forces or protective forces; attitude to children of members of the occupying forces and their mothers; judgement on the confiscation of buildings by Americans; residency; participation in the world war and deployment in battle against the Americans. Demography: membership in clubs, trade unions or a party und offices taken on there; party preference; age (classified); sex; marital status; religious denomination; school education; occupation; employment; household income; head of household; state; Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts; city size. Also encoded was: identification of interviewer; sex of interviewer and age of interviewer. Beurteilung der Anwesenheit der amerikanischen Truppen in Westdeutschland. Themen: Wichtigste Probleme der BRD; Einstellung zu einer Beteiligung der BRD an den Stationierungskosten der NATO-Streitkräfte und zu einem Verbleib der amerikanischen Truppen in der BRD; Einstellung zu einer Verringerung der amerikanischen Streitkräfte; allgemeine Beurteilung der amerikanischen Soldaten; wahrgenommene Veränderungen im Verhältnis der amerikanischen Soldaten zur deutschen Zivilbevölkerung; Kritik an der Lebensweise amerikanischer Soldaten; Kontakthäufigkeit zu amerikanischen Soldaten nach dem Kriege; Einstellung zum Bau von Wohnsiedlungen für die in Deutschland lebenden Familien; Wahrnehmung der Amerikaner als Besatzungstruppen oder Schutztruppe; Einstellung zu Besatzungskindern und ihren Müttern; Beurteilung der Beschlagnahme von Häusern durch Amerikaner; Teilnahme am Weltkrieg und Einsatz im Kampf gegen die Amerikaner. Demographie: Mitgliedschaft in Vereinen, Gewerkschaften oder einer Partei und dabei übernommene Ämter; Parteipräferenz; Alter (klassiert); Geschlecht; Familienstand; Konfession; Schulbildung; Beruf; Berufstätigkeit; Haushaltseinkommen; Haushaltungsvorstand; Bundesland; Flüchtlingsstatus. Interviewerrating: Schichtzugehörigkeit und Kooperationsbereitschaft des Befragten; Anzahl der Kontaktversuche; Ortsgröße. Zusätzlich verkodet wurde: Intervieweridentifikation; Interviewergeschlecht und Intervieweralter.

This survey was designed to obtain a clear picture of the resources, problems, needs, and preferences of the eight million elderly Americans who live alone. The questions cover not only living arrangements and demographic information, but also economic well-being, health, health care, health insurance, difficulties and fears, need for help, obtaining help, and opinions on policies that have been proposed on the behalf of the elderly. The living arrangements of those in the sample fell into three categories: approximately 30 percent lived alone, 54 percent lived with spouses, and 16 percent lived with children or others. The sample included 903 widowed women over age 65. Comparable data on a Hispanic American sample, who were interviewed with the same questionnaire, are available in NATIONAL SURVEY OF HISPANIC ELDERLY LIVING ALONE, 1988 (ICPSR 9289).

A survey conducted in July 2025 found that the most important issue for ***percent of Americans was inflation and prices. A further ***percent of respondents were most concerned about jobs and the economy.

Sampling Procedure Comment: Multi-stage random sample

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

About this dataset

Context

This list ranks the 2 cities in the San Juan County, UT by Multi-Racial American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Native American Population: This column displays the rank of cities in the San Juan County, UT by their Multi-Racial American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial Native American Population: The Multi-Racial Native American population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total San Juan County Multi-Racial Native American Population: This tells us how much of the entire San Juan County, UT Multi-Racial Native American population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

Graph and download economic data for U.S.-Chartered Depository Institutions; Demand Notes Issued to Treasury; Liability, Level (BOGZ1FL763123030Q) from Q4 1945 to Q2 2025 about U.S.-chartered, demand, notes, issues, liabilities, Treasury, and USA.

The data consist of transcripts of interviews with 19 individuals from Brazil and 5 individuals from Colombia, who are all involved in Black and Indigenous activist organisations or in state agencies that are charged with promoting anti-racism and/or human rights. Each transcript begins with a paragraph giving contextual informationLatin America has often been held up as a region where racism is less of a problem than in regions such as the United States or Europe. Because most people are 'mestizos' (mixed race) and mixture is often seen as the essence of national identity, clear racial boundaries are blurred, resulting in comparatively low levels of racial segregation and a traditionally low public profile for issues of race. In Europe and the United States, the racial mixture and interaction across racial boundaries, which are typical of Latin America and are becoming more visible elsewhere, are heralded by some observers as leading towards a 'post-racial' reality, where anti-racism and multiculturalism - seen in this view as divisive policies that accentuate social differences - become unnecessary. Critics point out that mixture is not an antidote to racial inequality and racism in Latin America: they all coexist. This severely qualifies claims that mixture can lead to a 'post-racial' era. This project will investigate anti-racist practices and ideologies in Bolivia, Brazil, Colombia and Mexico. The project will contribute to conceptualising and addressing problems of racism, racial inequality and anti-racism in the region. We also propose that Latin America presents new opportunities for thinking about racism and anti-racism in a 'post-racial' world. Understanding how racism and anti-racism are conceived and practised in Latin America - in contexts in which mixture is pervasive - can help us to understand how to think about racism and anti-racism in other regions of the world, where notions of race have been changing in some respects towards Latin American patterns. It is also crucial to show the variety of ways in which mixture operates and co-exists with racism in Latin America - a region that is far from homogeneous. Research teams in each country, working with a range of organisations concerned with racism and discrimination, will explore how the organisations conceptualise and address key problems, which are becoming more salient in other regions, which confront similar scenarios. First, how to practice anti-racism when most people are mixed and when they may deny the importance of race and racism and themselves be both victims and the perpetrators of racism. Second, how to conceptualise and practice anti-racism when 'culture' seems to be the dominant discourse for talking about difference, but when physical difference (skin colour, hair type, etc.) remain powerful but often unacknowledged signs that move people to discriminate. Third, how to understand racism and combat it when race and class coincide to a great extent and make it easy to deny that race and racism are important factors. Fourth, how to make sure anti-racism addresses gender difference effectively, in a context in which mixture between white men and non-white women has been seen as the founding act of the nation. Fifth, how to pursue anti-racism when it is often claimed that there is little overt racist violence and that this is evidence of racial tolerance. We will explore how these elements structure - and may constrain - ideas about (anti-)racism within institutions, organisations and everyday practice. Our project will work with organisations in Bolivia, Brazil, Colombia and Mexico - countries that capture a good range of the region's diversity - to explore how racism and anti-racism are conceptualised and addressed in state and non-state circles, in legislation and the media, and in a variety of campaigns and projects. We aim to strengthen anti-racist practice in Latin America by feeding back our findings and by helping build networks; and to provide useful insights for understanding racism and anti-racism within and outside the region. The project carried out research in four countries, Brazil, Colombia, Ecuador and Mexico. We started by scoping out a broad range of organizations and individuals who were working in a direct or indirect fashion to challenge racism and racial inequality. We then selected seventeen case studies (over a third of which were Indigenous), with which we worked in depth, while also touching on about twenty other cases in a less intensive way. The cases were selected in order to include both Black and Indigenous organisations and cases, and to include a range of cases from government bodies to grassroots activist movements, plus some legal processes in which a variety of actors and organizations were involved. Our methods were mainly ethnography and interviews, undertaken principally by the four postdoctoral researchers, each of whom worked in one country. Some interviews were done with the assistance of a research assistant hired in the country. The interviews were conducted mostly in 2017, with some in 2018, in localities appropriate to the case study, such as an organization’s offices, an individual’s residence, or an agreed neutral location (e.g. a café, a village square, a classroom). Some interviews were informal conservations, but most were at least semi-structured. Common interview guides were not used, as each interview was specific to the case in question. Many interviews were audio-recorded (some were video-recorded) and selected interviews were transcribed in full or in part. Files with the original audio recordings and the transcripts are stored on a secure server in the University of Manchester. The files uploaded here are a selection of the transcribed interviews.

This map highlights where the Black/African American populations in households have a computer, but no internet subscription in their household. The brightest oranges show where there are a higher percentage of Black/African Americans without an internet subscription. The larger symbols show where there are more Black/African Americans without internet at home. Both of these factors highlight the at-risk population with unequal opportunities. This can be seen throughout the United States at the state, county, and tract levels. Search for your area, or explore one of the bookmarks within the map to see areas with stark patterns.The data in this map contains the most recent American Community Survey (ACS) data from the U.S. Census Bureau. The Living Atlas layer in this map updates annually when the Census releases their new figures. To learn more, visit this FAQ, or visit the ACS website. Data note: For the tract geography level, the margin of error (MOE) is included in the pop-up as reference. A note from the Census about MOEs: "Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables."

About this dataset

Context

This list ranks the 4 cities in the Worcester County, MD by Multi-Racial American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Native American Population: This column displays the rank of cities in the Worcester County, MD by their Multi-Racial American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial Native American Population: The Multi-Racial Native American population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Worcester County Multi-Racial Native American Population: This tells us how much of the entire Worcester County, MD Multi-Racial Native American population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

As of January 2025, approximately ** percent of exhibition companies surveyed in ***** Central and South American countries reported viewing the state of the economy in their home market as the industry's most important issue over the following 12 to 18 months. Internal management challenges ranked second, selected by ** percent of respondents.

Data from: American Community Survey, 5-year Series

The Department of Housing Preservation and Development (HPD) records complaints that are made by the public for conditions which violate the New York City Housing Maintenance Code (HMC) or the New York State Multiple Dwelling Law (MDL).

Graph and download economic data for Net Issues of International Debt Securities for Issuers in Non-Financial Corporations (Corporate Issuers), All Maturities, Residence of Issuer in Latin America and Caribbean (IDSNFAMRINI4U) from Q1 1972 to Q1 2025 about Caribbean Economies, Latin America, issues, nonfinancial, maturity, debt, Net, residents, corporate, and securities.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for German represents the number of people who listed German as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle.."With a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- ...

About this dataset

Context

This list ranks the 5 cities in the Sarpy County, NE by Multi-Racial American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Native American Population: This column displays the rank of cities in the Sarpy County, NE by their Multi-Racial American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial Native American Population: The Multi-Racial Native American population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Sarpy County Multi-Racial Native American Population: This tells us how much of the entire Sarpy County, NE Multi-Racial Native American population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.