82 datasets found
  1. National Survey on Drug Use and Health, 2014

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Mar 22, 2016
    + more versions
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    United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality (2016). National Survey on Drug Use and Health, 2014 [Dataset]. http://doi.org/10.3886/ICPSR36361.v1
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    sas, ascii, stata, spss, r, delimitedAvailable download formats
    Dataset updated
    Mar 22, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36361/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36361/terms

    Time period covered
    2014
    Area covered
    United States
    Description

    The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2014 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For the 2008 survey, adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.

  2. What is the most common race/ethnicity?

    • hub.arcgis.com
    • gis-for-racialequity.hub.arcgis.com
    Updated Apr 14, 2020
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    Urban Observatory by Esri (2020). What is the most common race/ethnicity? [Dataset]. https://hub.arcgis.com/maps/2603a03fc55244c19f7f73d04cd53cea
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    Dataset updated
    Apr 14, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    Knowing the racial and ethnic composition of a community is often one of the first steps in understanding, serving, and advocating for various groups. This information can help enforce laws, policies, and regulations against discrimination based on race and ethnicity. These statistics can also help tailor services to accommodate cultural differences.This multi-scale map shows the most common race/ethnicity living within an area. Map opens at tract-level in Los Angeles, CA but has national coverage. Zoom out to see counties and states.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available. The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.

  3. Gallup Poll Social Series (GPSS)

    • redivis.com
    • stanford.redivis.com
    application/jsonl +7
    Updated Jul 10, 2025
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    Stanford University Libraries (2025). Gallup Poll Social Series (GPSS) [Dataset]. http://doi.org/10.57761/vxfa-he67
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    csv, spss, sas, avro, stata, arrow, parquet, application/jsonlAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    Abstract

    The Gallup Poll Social Series (GPSS) is a set of public opinion surveys designed to monitor U.S. adults' views on numerous social, economic, and political topics. The topics are arranged thematically across 12 surveys. Gallup administers these surveys during the same month every year and includes the survey's core trend questions in the same order each administration. Using this consistent standard allows for unprecedented analysis of changes in trend data that are not susceptible to question order bias and seasonal effects.

    Introduced in 2001, the GPSS is the primary method Gallup uses to update several hundred long-term Gallup trend questions, some dating back to the 1930s. The series also includes many newer questions added to address contemporary issues as they emerge.

    The dataset currently includes responses from up to and including 2025.

    Methodology

    Gallup conducts one GPSS survey per month, with each devoted to a different topic, as follows:

    January: Mood of the Nation

    February: World Affairs

    March: Environment

    April: Economy and Finance

    May: Values and Beliefs

    June: Minority Rights and Relations (discontinued after 2016)

    July: Consumption Habits

    August: Work and Education

    September: Governance

    October: Crime

    November: Health

    December: Lifestyle (conducted 2001-2008)

    The core questions of the surveys differ each month, but several questions assessing the state of the nation are standard on all 12: presidential job approval, congressional job approval, satisfaction with the direction of the U.S., assessment of the U.S. job market, and an open-ended measurement of the nation's "most important problem." Additionally, Gallup includes extensive demographic questions on each survey, allowing for in-depth analysis of trends.

    Interviews are conducted with U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

    Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older for each GPSS survey. Samples for the June Minority Rights and Relations survey are significantly larger because Gallup includes oversamples of Blacks and Hispanics to allow for reliable estimates among these key subgroups.

    Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).

    Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

    Usage

    The year appended to each table name represents when the data was last updated. For example, January: Mood of the Nation - 2025** **has survey data collected up to and including 2025.

    For more information about what survey questions were asked over time, see the Supporting Files.

    Bulk Data Access

    Data access is required to view this section.

  4. C

    Pittsburgh American Community Survey Data 2015 - Household Types

    • data.wprdc.org
    • catalog.data.gov
    • +1more
    csv
    Updated May 21, 2023
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    City of Pittsburgh (2023). Pittsburgh American Community Survey Data 2015 - Household Types [Dataset]. https://data.wprdc.org/dataset/pittsburgh-american-community-survey-data-household-types
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    csvAvailable download formats
    Dataset updated
    May 21, 2023
    Dataset provided by
    City of Pittsburgh
    License

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

    Area covered
    Pittsburgh
    Description

    The data on relationship to householder were derived from answers to Question 2 in the 2015 American Community Survey (ACS), which was asked of all people in housing units. The question on relationship is essential for classifying the population information on families and other groups. Information about changes in the composition of the American family, from the number of people living alone to the number of children living with only one parent, is essential for planning and carrying out a number of federal programs.

    The responses to this question were used to determine the relationships of all persons to the householder, as well as household type (married couple family, nonfamily, etc.). From responses to this question, we were able to determine numbers of related children, own children, unmarried partner households, and multi-generational households. We calculated average household and family size. When relationship was not reported, it was imputed using the age difference between the householder and the person, sex, and marital status.

    Household – A household includes all the people who occupy a housing unit. (People not living in households are classified as living in group quarters.) A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other people in the building and which have direct access from the outside of the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living arrangements.

    Average Household Size – A measure obtained by dividing the number of people in households by the number of households. In cases where people in households are cross-classified by race or Hispanic origin, people in the household are classified by the race or Hispanic origin of the householder rather than the race or Hispanic origin of each individual.

    Average household size is rounded to the nearest hundredth.

    Comparability – The relationship categories for the most part can be compared to previous ACS years and to similar data collected in the decennial census, CPS, and SIPP. With the change in 2008 from “In-law” to the two categories of “Parent-in-law” and “Son-in-law or daughter-in-law,” caution should be exercised when comparing data on in-laws from previous years. “In-law” encompassed any type of in-law such as sister-in-law. Combining “Parent-in-law” and “son-in-law or daughter-in-law” does not represent all “in-laws” in 2008.

    The same can be said of comparing the three categories of “biological” “step,” and “adopted” child in 2008 to “Child” in previous years. Before 2008, respondents may have considered anyone under 18 as “child” and chosen that category. The ACS includes “foster child” as a category. However, the 2010 Census did not contain this category, and “foster children” were included in the “Other nonrelative” category. Therefore, comparison of “foster child” cannot be made to the 2010 Census. Beginning in 2013, the “spouse” category includes same-sex spouses.

  5. d

    SEAMS - Standardized ethnically attributed mass surveys

    • search.dataone.org
    Updated Nov 8, 2023
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    Juon, Andreas (2023). SEAMS - Standardized ethnically attributed mass surveys [Dataset]. http://doi.org/10.7910/DVN/ENMYI8
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Juon, Andreas
    Description

    SEAMS integrates a large number of global and regional mass surveys, such as the World Values Surveys and the Afrobarometer. It serves two purposes: - First, it provides standardized information for major public opinion concepts, for instance on (dis-)satisfaction with government institutions and perceptions of belonging to a discriminated group. - Second, it provides systematic information on survey respondents’ ethnicity, region of residence, language, religion, and phenotype, which is linked to existing datasets, including EPR and CPSD. Thereby, it enables researchers to study how time-varying country- or group-level variables (such as democratization, GDP growth, and ethnic power-sharing) affect public opinion and vice versa. The current version integrates information from 98 unique survey waves, which together cover 2’071’315 respondents nested in 1372 country years and 148 countries. Future releases will add more variables (e.g., on ethnic identification and party choice), surveys, and information on the heterogeneous question items underlying SEAMS’ standardized variables.

  6. w

    Surveying Japanese-Brazilian Households: Comparison of Census-Based,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jan 9, 2020
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    David McKenzie (2020). Surveying Japanese-Brazilian Households: Comparison of Census-Based, Snowball and Intercept Point Surveys 2006 - Brazil [Dataset]. https://microdata.worldbank.org/index.php/catalog/2231
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    Dataset updated
    Jan 9, 2020
    Dataset provided by
    David McKenzie
    Johan Mistiaen
    Time period covered
    2006 - 2007
    Area covered
    Brazil
    Description

    Abstract

    This study is an experiment designed to compare the performance of three methodologies for sampling households with migrants:

    • a stratified sample using the census to sample census tracts randomly, in which each household is then listed and screened to determine whether or not it has a migrant, with the full length questionnaire then being applied in a second phase only to the households of interest;
    • a snowball survey in which households are asked to provide referrals to other households with migrant members;
    • an intercept point survey (or time-and-space sampling survey), in which individuals are sampled during set time periods at a prespecified set of locations where households in the target group are likely to congregate.

    Researchers from the World Bank applied these methods in the context of a survey of Brazilians of Japanese descent (Nikkei), requested by the World Bank. There are approximately 1.2-1.9 million Nikkei among Brazil’s 170 million population.

    The survey was designed to provide detail on the characteristics of households with and without migrants, to estimate the proportion of households receiving remittances and with migrants in Japan, and to examine the consequences of migration and remittances on the sending households.

    The same questionnaire was used for the stratified random sample and snowball surveys, and a shorter version of the questionnaire was used for the intercept surveys. Researchers can directly compare answers to the same questions across survey methodologies and determine the extent to which the intercept and snowball surveys can give similar results to the more expensive census-based survey, and test for the presence of biases.

    Geographic coverage

    Sao Paulo and Parana states

    Analysis unit

    Japanese-Brazilian (Nikkei) households and individuals

    The 2000 Brazilian Census was used to classify households as Nikkei or non-Nikkei. The Brazilian Census does not ask ethnicity but instead asks questions on race, country of birth and whether an individual has lived elsewhere in the last 10 years. On the basis of these questions, a household is classified as (potentially) Nikkei if it has any of the following: 1) a member born in Japan; 2) a member who is of yellow race and who has lived in Japan in the last 10 years; 3) a member who is of yellow race, who was not born in a country other than Japan (predominantly Korea, Taiwan or China) and who did not live in a foreign country other than Japan in the last 10 years.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    1) Stratified random sample survey

    Two states with the largest Nikkei population - Sao Paulo and Parana - were chosen for the study.

    The sampling process consisted of three stages. First, a stratified random sample of 75 census tracts was selected based on 2000 Brazilian census. Second, interviewers carried out a door-to-door listing within each census tract to determine which households had a Nikkei member. Third, the survey questionnaire was then administered to households that were identified as Nikkei. A door-to-door listing exercise of the 75 census tracts was then carried out between October 13th, 2006, and October 29th, 2006. The fieldwork began on November 19, 2006, and all dwellings were visited at least once by December 22, 2006. The second wave of surveying took place from January 18th, 2007, to February 2nd, 2007, which was intended to increase the number of households responding.

    2) Intercept survey

    The intercept survey was designed to carry out interviews at a range of locations that were frequented by the Nikkei population. It was originally designed to be done in Sao Paulo city only, but a second intercept point survey was later carried out in Curitiba, Parana. Intercept survey took place between December 9th, 2006, and December 20th, 2006, whereas the Curitiba intercept survey took place between March 3rd and March 12th, 2007.

    Consultations with Nikkei community organizations, local researchers and officers of the bank Sudameris, which provides remittance services to this community, were used to select a broad range of locations. Interviewers were assigned to visit each location during prespecified blocks of time. Two fieldworkers were assigned to each location. One fieldworker carried out the interviews, while the other carried out a count of the number of people with Nikkei appearance who appeared to be 18 years old or older who passed by each location. For the fixed places, this count was made throughout the prespecified time block. For example, between 2.30 p.m. and 3.30 p.m. at the sports club, the interviewer counted 57 adult Nikkeis. Refusal rates were carefully recorded, along with the sex and approximate age of the person refusing.

    In all, 516 intercept interviews were collected.

    3) Snowball sampling survey

    The questionnaire that was used was the same as used for the stratified random sample. The plan was to begin with a seed list of 75 households, and to aim to reach a total sample of 300 households through referrals from the initial seed households. Each household surveyed was asked to supply the names of three contacts: (a) a Nikkei household with a member currently in Japan; (b) a Nikkei household with a member who has returned from Japan; (c) a Nikkei household without members in Japan and where individuals had not returned from Japan.

    The snowball survey took place from December 5th to 20th, 2006. The second phase of the snowballing survey ran from January 22nd, 2007, to March 23rd, 2007. More associations were contacted to provide additional seed names (69 more names were obtained) and, as with the stratified sample, an adaptation of the intercept survey was used when individuals refused to answer the longer questionnaire. A decision was made to continue the snowball process until a target sample size of 100 had been achieved.

    The final sample consists of 60 households who came as seed households from Japanese associations, and 40 households who were chain referrals. The longest chain achieved was three links.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    1) Stratified sampling and snowball survey questionnaire

    This questionnaire has 36 pages with over 1,000 variables, taking over an hour to complete.

    If subjects refused to answer the questionnaire, interviewers would leave a much shorter version of the questionnaire to be completed by the household by themselves, and later picked up. This shorter questionnaire was the same as used in the intercept point survey, taking seven minutes on average. The intention with the shorter survey was to provide some data on households that would not answer the full survey because of time constraints, or because respondents were reluctant to have an interviewer in their house.

    2) Intercept questionnaire

    The questionnaire is four pages in length, consisting of 62 questions and taking a mean time of seven minutes to answer. Respondents had to be 18 years old or older to be interviewed.

    Response rate

    1) Stratified random sampling 403 out of the 710 Nikkei households were surveyed, an interview rate of 57%. The refusal rate was 25%, whereas the remaining households were either absent on three attempts or were not surveyed because building managers refused permission to enter the apartment buildings. Refusal rates were higher in Sao Paulo than in Parana, reflecting greater concerns about crime and a busier urban environment.

    2) Intercept Interviews 516 intercept interviews were collected, along with 325 refusals. The average refusal rate is 39%, with location-specific refusal rates ranging from only 3% at the food festival to almost 66% at one of the two grocery stores.

  7. 2017 Economic Surveys: AB1700CSA01 | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated May 19, 2020
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    ECN (2020). 2017 Economic Surveys: AB1700CSA01 | Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2017 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2017.AB1700CSA01?q=avoca
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    Dataset updated
    May 19, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2017
    Area covered
    United States
    Description

    Release Date: 2020-05-19.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY20-008)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2018 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2018 ABS collection year produces statistics for the 2017 reference year. The "Year" column in the table is the reference year. The ABS has a larger sample size during the benchmark year of 2017. Due to the larger size, more detailed data are shown for reference year 2017...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.Includes U.S. firms with paid employees, operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Moreover, the 2017 reference year statistics include detailed race and ethnicity data tabulated for:.Hispanic subgroups. Mexican, Mexican American, Chicano. Puerto Rican. Cuban. Other Hispanic, Latino, or Spanish. . Asian subgroups. Asian Indian. Chinese. Filipino. Japanese. Korean. Vietnamese. Other Asian. . Native Hawaiian and Other Pacific Islander subgroups. Native Hawaiian. Guamanian or Chamorro. Samoan. Other Pacific Islander. ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Mexican-owned," "Puerto Rican-owned," "Cuban-owned" or "other Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2017 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Industry and Geogr...

  8. Presbyterian Panel Survey, February 2017 - Race and Ethnicity, Clergy

    • thearda.com
    • osf.io
    Updated Feb 2017
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    The Association of Religion Data Archives (2017). Presbyterian Panel Survey, February 2017 - Race and Ethnicity, Clergy [Dataset]. http://doi.org/10.17605/OSF.IO/P2U3D
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    Dataset updated
    Feb 2017
    Dataset provided by
    Association of Religion Data Archives
    Dataset funded by
    Congregational Ministries Division, Presbyterian Church (U.S.A.)
    Description

    The Presbyterian Panel began in 1973 and is an ongoing panel study in which mailed and web-based questionnaires are used to survey representative samples of constituency groups of the Presbyterian Church (U.S.A.). These constituency groups include members, elders, pastors serving in a congregation and specialized clergy serving elsewhere. The August 2013 and February 2017 Panel surveys both dealt with race and ethnicity, and the inclusion of a number of identical questions in the two surveys allows for analysis of change over time. This dataset contains data from clergy in the Presbyterian Church (U.S.A.).

  9. d

    Replication Data for: Third Party Presence & the Political Salience of...

    • search.dataone.org
    Updated Nov 8, 2023
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    Malik, Mashail; Siddiqui, Niloufer (2023). Replication Data for: Third Party Presence & the Political Salience of Ethnicity in Survey Data [Dataset]. http://doi.org/10.7910/DVN/ATSYM6
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Malik, Mashail; Siddiqui, Niloufer
    Description

    In developing countries, in-person surveys are frequently conducted in the presence of respondents' family, friends, or neighbors. What effect, if any, does their presence have on survey responses? We use data from an original representative survey in Karachi, Pakistan to examine how such presence affects responses to questions related to ethnic identity and ethnic politics. We find that respondents are systematically more likely to express greater support for ethnic politics and greater feelings of perceived ethnic discrimination in the presence of known others. We present suggestive evidence that this finding is explained by social desirability bias due to a norm of in-group solidarity. Our findings have important implications for the study of ethnic politics and for survey researchers working in contexts where respondent privacy is rarely guaranteed.

  10. 2020 Economic Surveys: AB2000CSA04 | Annual Business Survey: Employment Size...

    • data.census.gov
    Updated Nov 10, 2022
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    ECN (2022). 2020 Economic Surveys: AB2000CSA04 | Annual Business Survey: Employment Size of Firm Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2020 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2020.AB2000CSA04?n=4533
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    Dataset updated
    Nov 10, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2020
    Area covered
    United States
    Description

    Release Date: 2022-11-10.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY22-308)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2021 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2021 ABS collection year produces statistics for the 2020 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the number of employees working at the firm during the March 12 pay period:.Employment size of firms:. Firms with no employees. Firms with 1 to 4 employees. Firms with 5 to 9 employees. Firms with 10 to 19 employees. Firms with 20 to 49 employees. Firms with 50 to 99 employees. Firms with 100 to 249 employees. Firms with 250 to 499 employees. Firms with less than 500 employees. Firms with 500 employees or more. ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2020 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown...

  11. i

    World Values Survey 2011, Wave 6 - New Zealand

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    Updated Jan 16, 2021
    + more versions
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    Prof. Paul Perry, Department of Sociology (2021). World Values Survey 2011, Wave 6 - New Zealand [Dataset]. https://datacatalog.ihsn.org/catalog/9030
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    Dataset updated
    Jan 16, 2021
    Dataset authored and provided by
    Prof. Paul Perry, Department of Sociology
    Time period covered
    2011 - 2012
    Area covered
    New Zealand
    Description

    Abstract

    The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

    The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

    The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

    Geographic coverage

    National

    Analysis unit

    Household Individual

    Universe

    National Population, Both sexes,18 and more years.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sample size: 841

    a. A random sample of 2000 people was drawn from the New Zealand Electoral Roll; Permanent Residents and Citizens of NZ are required by law to place themselves on the Electoral Roll. The roll contains name, address, electorate, age, gender, occupation, and a Maori identifier.

    b. Excluded from the sample were overseas addresses and people over 90 years of age (following past NZSV surveys).

    c. People identifying as Maori on the roll were oversampled (as in past NZ Values Surveys) because Maori, as a group, tend to have a lower response rate to such surveys. About 13.6% of the people on the Roll identified as Maori, while the sample that was drawn is about 22.5% identifying as Maori on the Roll. In the results of the survey for the ethnicity question, 16.3% indicated they identified as Maori. They may also have selected other ethnicities, and saying “Maori” in the survey does not necessarily mean they are listed as Maori on the Electoral Roll.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

    The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

    WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

    Response rate

    44.22%

    Sampling error estimates

    Estimated error: 3.4

  12. e

    ONS Omnibus Survey, October 2000 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 15, 2000
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    (2000). ONS Omnibus Survey, October 2000 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/2e812b96-d5be-565c-bd96-b6ac42502f02
    Explore at:
    Dataset updated
    Oct 15, 2000
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Hearing and subtitles (Module 204): this module was asked on behalf of the BBC. It was asked of all household members aged nine or over who had hearing difficulties or difficulty hearing the TV at normal volume. Internet access (Module 264): this module is being asked on behalf of a number of government departments, but primarily the Office for National Statistics and the E-Envoy's Office (part of the Cabinet Office). Designed to monitor internet use, which is currently a high profile government policy. E-Health (Module 270): this module was asked on behalf of Citizens Online, a charity set up to monitor and improve access to the internet. These questions are about health information on the internet and asked only of those who have used the internet for private/personal use. Smoking (Module 130): this module is being asked on behalf of the Department of Health. The questions relate to smoking. New ethnic question (Module 272): this question was asked on behalf of Social Survey Division and Socio-Economic Division of ONS and may be adopted as the new harmonised ethnicity question. Multi-stage stratified random sample Face-to-face interview

  13. 2018 Economic Surveys: AB1800CSA02 | Annual Business Survey: Years in...

    • data.census.gov
    Updated Jan 28, 2021
    + more versions
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    ECN (2021). 2018 Economic Surveys: AB1800CSA02 | Annual Business Survey: Years in Business Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States and Metro Areas: 2018 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2018.AB1800CSA02?q=M%20S%20CONSTRUCTION%20COMPANY
    Explore at:
    Dataset updated
    Jan 28, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2018
    Area covered
    United States
    Description

    Release Date: 2021-01-28.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY20-424)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2019 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2019 ABS collection year produces statistics for the 2018 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the number of years the firm has been in operation:.Years in Business:. Firms with less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business. ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2018 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:.United States. States and the District of Columbia. Metropolitan Statistical Areas...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic pro...

  14. 2019 Economic Surveys: AB1900CSA02 | Annual Business Survey: Years in...

    • data.census.gov
    Updated Oct 28, 2021
    + more versions
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    ECN (2021). 2019 Economic Surveys: AB1900CSA02 | Annual Business Survey: Years in Business Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB1900CSA02?y=2019&codeset=naics~484
    Explore at:
    Dataset updated
    Oct 28, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2019
    Area covered
    United States
    Description

    Release Date: 2021-10-28.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY21-289)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2020 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2020 ABS collection year produces statistics for the 2019 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the number of years the firm has been in operation:.Years in Business:. Firms with less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business. ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2019 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown for the 3-digit NAICS code for:..United States...For more information about NAICS, see NAICS Codes & Understanding Industry Classificati...

  15. W

    Asian Population Concentration - Northern CA

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
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    California Wildfire & Forest Resilience Task Force (2025). Asian Population Concentration - Northern CA [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-asian-population-concentration-northern-ca
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    geotiff, wms, wcsAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

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

    Area covered
    Northern California, California
    Description

    Relative concentration of the Northern California region's Asian American population. The variable ASIANALN records all individuals who select Asian as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with the Asian race alone.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as ASIANALN alone to the proportion of all people that live within the 1,207 block groups in the Northern California RRK region that identify as ASIANALN alone. Example: if 5.2% of people in a block group identify as HSPBIPOC, the block group has twice the proportion of ASIANALN individuals compared to the Northern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then ASIANALN individuals are highly concentrated locally.

  16. Los Angeles County Social Survey, 1995 (LACSS)

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jul 27, 2017
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    University of California, Los Angeles. Institute for Social Research (2017). Los Angeles County Social Survey, 1995 (LACSS) [Dataset]. http://doi.org/10.3886/ICPSR36563.v1
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    delimited, ascii, sas, spss, r, stataAvailable download formats
    Dataset updated
    Jul 27, 2017
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    University of California, Los Angeles. Institute for Social Research
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36563/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36563/terms

    Time period covered
    1995
    Area covered
    Los Angeles, California
    Description

    The Los Angeles County Social Survey (LACSS) continues the Los Angeles Metropolitan Area Studies (LAMAS) and the Southern California Social Surveys (SCSS). The Los Angeles County Social Survey (LACSS) is part of a continuing annual research project supported by the Institute for Social Science Research at the University of California, Los Angeles (UCLA). The LACSS 1995 was conducted between April and July 1995. Los Angeles County residents were asked questions concerning ethnic relations, social dominance, social distance, immigration, affirmative action, employment, and government. A split ballot methodology was utilized concerning the topics of immigration and affirmative action. Respondents were randomly selected to answer a series of questions from one of three ballots. In addition, a different series of social distance questions were asked depending on the respondent's ethnicity. Questionnaires were provided in both English and Spanish languages. Demographic information collected includes race, gender, religion, age, education level, occupation, birth place, political party affiliation and ideology, and origin of ancestry.

  17. American Community Survey (ACS) – Vision and Eye Health Surveillance

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated May 16, 2025
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    Centers for Disease Control and Prevention (2025). American Community Survey (ACS) – Vision and Eye Health Surveillance [Dataset]. https://catalog.data.gov/dataset/american-community-survey-acs-vision-and-eye-health-surveillance-0f989
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    Dataset updated
    May 16, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, gender, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024

  18. W

    Black and African American Population Concentration - Southern CA

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
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    California Wildfire & Forest Resilience Task Force (2025). Black and African American Population Concentration - Southern CA [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-black-and-african-american-population-concentration-southern-ca
    Explore at:
    wms, wcs, geotiffAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

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

    Area covered
    Africa, California, Southern California
    Description

    Relative concentration of the Southern California region's Black/African American population. The variable BLACKALN records all individuals who select black or African American as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with black race alone.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as Black/African American alone to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region that identify as Black/African American alone. Example: if 5.2% of people in a block group identify as BLACKALN, the block group has twice the proportion of BLACKALN individuals compared to the Southern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then BLACKALN individuals are highly concentrated locally.

  19. W

    Black and African American Population Concentration - Central CA

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
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    California Wildfire & Forest Resilience Task Force (2025). Black and African American Population Concentration - Central CA [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-black-and-african-american-population-concentration-central-ca
    Explore at:
    wcs, wms, geotiffAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

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

    Area covered
    Africa, California
    Description

    Relative concentration of the Central California region's Black/African American population. The variable BLACKALN records all individuals who select black or African American as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with black race alone.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as Black/African American alone to the proportion of all people that live within the 4,961 block groups in the Central California RRK region that identify as Black/African American alone. Example: if 5.2% of people in a block group identify as BLACKALN, the block group has twice the proportion of BLACKALN individuals compared to the Central California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then BLACKALN individuals are highly concentrated locally.

  20. f

    Association between Vit-D intake (Q.9—see S1 File) and age, gender,...

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    Updated Aug 7, 2023
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    Nuttan Kantilal Tanna; Manisha Karki; Iman Webber; Aos Alaa; Austen El-Costa; Mitch Blair (2023). Association between Vit-D intake (Q.9—see S1 File) and age, gender, ethnicity, BMI, skin type, sun exposure and skin coverage. [Dataset]. http://doi.org/10.1371/journal.pone.0281172.t001
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    binAvailable download formats
    Dataset updated
    Aug 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nuttan Kantilal Tanna; Manisha Karki; Iman Webber; Aos Alaa; Austen El-Costa; Mitch Blair
    License

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

    Description

    Association between Vit-D intake (Q.9—see S1 File) and age, gender, ethnicity, BMI, skin type, sun exposure and skin coverage.

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Link copied
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United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality (2016). National Survey on Drug Use and Health, 2014 [Dataset]. http://doi.org/10.3886/ICPSR36361.v1
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National Survey on Drug Use and Health, 2014

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294 scholarly articles cite this dataset (View in Google Scholar)
sas, ascii, stata, spss, r, delimitedAvailable download formats
Dataset updated
Mar 22, 2016
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality
License

https://www.icpsr.umich.edu/web/ICPSR/studies/36361/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36361/terms

Time period covered
2014
Area covered
United States
Description

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2014 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For the 2008 survey, adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.

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