This graph shows the marital status of the U.S. population aged 15 years and older in 2014, by race and ethnic origin. That year, about 8.08 million people of Asian origin who were living in the United States, were married.

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..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..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.

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 74 Years for United States (LFWA74TTUSM647S) from Jan 1981 to Mar 2025 about 15 to 74 years, personal, and USA.

The Annual Social and Economic (ASEC) 2017 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of the official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage, and salaried employees, and estimates of total unemployment. In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey. The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix C of the User Guide for further category details). For example, using the occupation and industry information variables from the ASEC help data users to obtain statistics about people in artists occupations that receive supplemental income, live public housing, or are full-time students. The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.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 American Community Survey 1-Year Estimates.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..The 2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 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:An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself.An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An "(X)" means that the estimate is not applicable or not available.

United States US: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 9.000 % in 2014. This records an increase from the previous number of 8.000 % for 2010. United States US: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 6.000 % from Dec 1988 (Median) to 2014, with 7 observations. The data reached an all-time high of 9.000 % in 2014 and a record low of 4.000 % in 1988. United States US: Unmet Need for Contraception: % of Married Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted Average; Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.

Please note that this version of the data collection does not contain the complete technical documentation. An update to this collection including the complete technical documentation will be made available in Fall 2018. The Survey of Public Participation in the Arts (SPPA) 2017 collection is comprised of responses from two sets of surveys, the Current Population Survey (CPS) and the SPPA supplement to the CPS administered in July 2017. This supplement asked questions about public participation in the arts within the United States, and was sponsored by the National Endowment for the Arts. The CPS, administered monthly by the U.S. Census Bureau, collects labor force data about the civilian, noninstitutionalized population aged 15 years or older living in the United States. The CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS items in this data provide labor force activity for the week prior to the survey. In addition, the CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationships, occupation, and industry. In addition to the basic CPS questions, interviewers asked supplementary questions on public participation in the arts of two randomly selected household members aged 18 or older from about one-half of the sampled CPS households. The supplement contained questions about the respondent's participation in various artistic activities over the last year. If the selected respondent had a spouse or partner, then the respondent answered questions on behalf of their spouse/partner and the spouse/partner responses are proxies. The 2017 SPPA included two core components: a questionnaire used in previous years to ask about arts attendance and literary reading, and a newer survey about arts attendance, venues visited, and motivations for attending art events. In addition, the SPPA supplement included five modules designed to capture other types of arts participation as well as participation in other leisure activities. Questions included items on the frequency of participation, types of artistic activities, training and exposure, musical and artistic preferences, school-age socialization, and computer and device usage related to the arts. The five modules were separated by topic: Module A: Consuming Art via Electronic Media Module B: Performing Art Module C: Creating Visual Art and Writing Module D: Other Leisure Activities Module E: Arts Education, and Arts Access and Opportunity Respondents were randomly assigned to either of the core questionnaires, and were then randomly assigned to two of the five additional modules so that each module was administered to a portion of the sampled cases.

This data collection consists of modified records from CENSUS OF POPULATION AND HOUSING, 1970 [UNITED STATES]: PUBLIC USE SAMPLES (ICPSR 0018). The original records consisted of 120-character household records and 120-character person records, whereas the new modified records are rectangular (each person record is combined with the corresponding household record) with a length of 188, after the deletion of some items. Additional information was added to the data records, including typical educational requirement for current occupation, occupational prestige score, and group identification code. This version also differs from the original public use census samples in other ways: persons aged 15-75 were included, no majority males were included, but the majority males from CENSUS OF POPULATION AND HOUSING [UNITED STATES], 1970 PUBLIC USE SAMPLE: MODIFIED 1/1000 5% STATE SAMPLES (ICPSR 7922) were included for convenience, 10 percent of the Black population from each file was included, and Mexican Americans (identified by a Spanish surname) from outside the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas were not included in this file. Variables provide information on the housing unit, such as occupancy and vacancy status of house, value of property, commercial use, ratio of rent and property value to family income, availability of plumbing facilities, sewage disposal, complete kitchen facilities, heating facilities, flush toilet, water, television, and telephone. Data are also provided on household characteristics such as household size, family size, and household relationships. Other demographic variables specify age, sex, place of birth, state of residence, Spanish descent, marital status, race, veteran status, income, and ratio of family income to poverty cutoff level. This collection was made available by the National Chicano Research Network of the Institute for Social Research, University of Michigan. See the related collection, CENSUS OF POPULATION AND HOUSING [UNITED STATES], 1970 PUBLIC USE SAMPLE: MODIFIED 1/1000 5% STATE SAMPLES (ICPSR 7922).

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns. For 2006 to 2009, the Population Estimates Program provides intercensal estimates of the population for the nation, states, and counties..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2006-2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2006-2010 American Community Survey

2004 to 2021 Virginia Employment Status of the Civilian Non-Institutional Population by Sex, by Race, Hispanic or Latino ethnicity, and detailed by Age, by Year. Annual averages, numbers in thousands.

U.S. Bureau of Labor Statistics; Local Area Unemployment Statistics, Expanded State Employment Status Demographic Data Data accessed from the Bureau of Labor Statistics website (https://www.bls.gov/lau/ex14tables.htm)

Statewide data on the demographic and economic characteristics of the labor force are published on an annual-average basis from the Current Population Survey (CPS), the sample survey of households used to calculate the U.S. unemployment rate (https://www.bls.gov/cps/home.htm). For each state and the District of Columbia, employment status data are tabulated for 67 sex, race, Hispanic or Latino ethnicity, marital status, and detailed age categories and evaluated against a minimum base, calculated to reflect an expected maximum coefficient of variation (CV) of 50 percent, to determine reliability for publication.

The CPS sample was redesigned in 2014–15 to reflect the distribution of the population as of the 2010 Census. At the same time, BLS developed improved techniques for calculating minimum bases. These changes resulted in generally higher minimum bases of unemployment, leading to the publication of fewer state-demographic groups beginning in 2015. The most notable impact was on the detailed age categories, particularly the teenage and age 65 and older groups. In an effort to extend coverage, BLS introduced a version of the expanded state employment status demographic table with intermediate age categories, collapsing the seven categories historically included down to three. Ages 16–19 and 20–24 were combined into a 16–24 year-old category, ages 25–34, 35–44, and 45–54 were combined into a 25–54 year-old category, and ages 55–64 and 65 and older were combined into a 55-years-and-older category. These intermediate age data are tabulated for the total population, as well as the four race and ethnicity groups, and then are evaluated against the unemployment minimum bases. The more detailed age categories continue to be available in the main version of the expanded table, where the minimum base was met.

Additional information on the uses and limitations of statewide data from the CPS can be found in the document Notes on Using Current Population Survey (https://www.bls.gov/lau/notescps.htm) Subnational Data and in Appendix B of the bulletin Geographic Profile of Employment and Unemployment (https://www.bls.gov/opub/geographic-profile/home.htm).

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the February 2015 basic CPS questionnaire. The supplement, on the topic of public participation in the arts in the United States, was sponsored by the National Endowment for the Arts. The CPS, administered monthly, collects labor force data about the civilian noninstitutional population aged 15 years old or older living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS data are provided on labor force activity for the week prior to the survey. In addition, CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationship, occupation, and industry. In addition to the basic CPS questions, the February 2015 Annual Arts Basic Survey (AABS) questions were asked of the CPS respondent and spouse as well as another randomly selected household member aged 18 or older and his/her spouse. About one-quarter of the sampled households were asked the supplement questions. Interview numbers 3 and 7 were asked the supplement questions. If the selected person had a spouse or partner then questions were also asked of the spouse/partner. The supplement contained questions about the sampled member's participation in various artistic activities from February 2014 through February 2015. Questions were asked about the type of artistic activity attended including attending a live music, theater, or dance performance. Questions also included attending a live book reading or a poetry or storytelling event, an art exhibit, going to the movies or to see a film, or taking any lessons or classes in music or music appreciation. Interviews were conducted during the period of several days in February 2015. The total sample size of the 2015 AABS was 151,788 Americans, ages 18 and older.

This collection provides data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 14 years old and over. Also included are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. In addition, data pertaining to marital history and fertility are included in the file. Men who were ever married (currently widowed, divorced, separated, or married) aged 15 and over were asked the number of times married and if the first marriage ended in widowhood or divorce. Ever married women aged 15 and over were asked the number of times married, date of marriage, date of widowhood or divorce, and if divorced the date of separation of the household for as many as three marriages. Questions on fertility were asked of ever married women 15 years and over and never married women 18 years and over. These questions included number of liveborn children, and date of birth, sex, and current residence for as many as five children. In addition, women between the ages of 18 and 39 were asked how many children they expect to have during their remaining childbearing years.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of volunteer service, which was administered as a supplement to the September CPS questionnaire. The USA Freedom Corps jointly sponsored the supplemental questions for September 2005. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the survey. All persons eligible for the labor force items of the basic CPS were also eligible for the volunteer supplement. Altogether, 153,087 interviews were conducted during the period of September 18-24, 2005. Proxy responses were allowed if attempts for a self-response were unsuccessful. The supplement contained questions about the household member's participation in volunteer service from September 1, 2004, to the date of the interview. Household members were queried about the frequency of volunteer activity, the kinds of organizations they volunteered with, the types of activities they chose, whether any volunteering was done in a foreign country, and involvement in their community. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The purpose of the 2005 Volunteer Supplement was to examine Americans' volunteer activities in the United States. The 2005 Volunteer Supplement was conducted as part of the Current Population Survey, an ongoing data collection effort of the United States Census Bureau. The survey was administered to household members aged 15 years and older in the households that were in the exit round of the CPS sample rotation. Computer-assisted personal interviews and computer-assisted telephone interviews were conducted during the period of September 18-24, 2005. Proxy respondents were allowed if attempts for self-responses were unsuccessful. Altogether, 153,087 respondents were interviewed for the 2005 Volunteer Supplement. The CPS variables provide labor force data containing current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The CPS variables also cover respondents' demographic information: age, sex, race, marital status, educational attainment, family relationship, occupation, and industry. The Volunteer Supplement variables provide household member's participation in volunteer service from September 1, 2004 to the date of the interview. Respondents were asked about the frequency of their volunteer activity, the kinds of organizations they volunteered with, and the types of activities they chose. Among those individuals who did not volunteer, the questions identified what barriers they experienced in volunteering, or what would encourage them to volunteer. The data contain seven CPS weight variables: Household Weight, HWHHWGT, should be used for tallying household characteristics.; Family Weight, PWFMWGT, should be used only for tallying family characteristics. cha; Longitudinal Weight, PWLGWGT, should be used for gross flows analysis and is found only on adult records matched from month to month. ; Outgoing Rotation Weight, PWORWGT, should be used for tallying information collected only in outgoing rotations.; Final Weight, PWSSWGT, is used for most tabulations, controlled to independent estimates for (1) States; (2) Origin, Sex, and Age; and (3) Age, Race, and Sex. ; Veterans Weight, PWVETWGT, should be used for tallying veterans data only.; Composited Final Weight, PWCMPWGT, is used to create BLS's published labor force statistics. ; The one supplement weight variable associated with the 2005 CPS Volunteer Supplement: Supplement Non-Response Weight, PWNRWGT, should be used to account for missing data due to non-response, and used when constructing estimates from supplement items. Users are strongly encouraged to refer to the User Guide for detailed info...

Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) for May 2004 and a supplement survey on the topic of Work Schedules and Working at Home. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States, for the week prior to the survey. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The May 2004 supplemental survey queried respondents on their working hours and shift of work. Other questions asked about hours spent working at home and equipment used, temporary work done without expecting continuing employment from the employer, worker's expectation of continuing employment, satisfaction with their current employment arrangement, current job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The data contain eight weight variables: Household Weight -- HWHHWGT -- Used in tallying household characteristics.; Family Weight -- PWFMWGT -- Used only in tallying family characteristics.; Longitudinal Weight -- PWLGWGT -- Found only on adult records matched from month to month (used for gross flows analysis).; Outgoing Rotation Weight -- PWORWGT -- Used for tallying information collected only in outgoing rotations.; Final Weight -- PWSSWGT -- Used for most tabulations, controlled to independent estimates for (1) States; (2) Origin, Sex, and Age; and (3) Age, Race, and Sex.; Veteran's Weight -- PWVETWGT -- Used for tallying veteran's data only.; Composited Final Weight -- PWCMPWGT -- Used to create BLS's published labor force statistics.; Supplement Weight -- PWSUPWGT -- Used in tallying individuals on the file.; Users are strongly encouraged to refer to the User Guide for additional detailed information on how to use these weights, as well as how they were derived. The universe for the basic CPS consists of all persons aged 15 and older in the civilian noninstitutional population of the United States, living in households. The May 2004 supplement universe represented the full CPS sample comprising all households, for persons age 15 years or older who are currently employed. A multistage probability sample was selected to represent the universe of approximately 56,000 to 57,000 households. 2011-12-21 The ASCII data for this collection have been completely replaced. The data collection has been updated to include SAS, SPSS, and Stata setup files for use with the new data. Also included in the update are a corresponding SAS transport (CPORT) file, SPSS system file, Stata system file, and a tab-delimited version of the new ASCII data. computer-assisted personal interview (CAPI), computer-assisted telephone interview (CATI)Users are strongly encouraged to refer to the User Guide (produced by the Principal Investigators), which contains information about the basic CPS survey and detailed technical documentation specific to the Work Schedules and Work at Home Supplement. In particular, Attachment 8 of the User Guide contains the supplement questionnaire.Detailed and edited universe statements for various variables are defined in either the basic or supplement record layout, which are located in Attachments 6 and 7, respectively, of the User Guide.ICPSR removed all FILLER and PADDING variables from the data. As a result, the column locations in any ICPSR-released data product (e.g., codebook and setup files) will have column locations that are not consistent with locations described in the User Guide.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the February 2016 basic CPS questionnaire. The supplement, on the topic of public participation in the arts in the United States, was sponsored by the National Endowment for the Arts. The CPS, administered monthly, collects labor force data about the civilian noninstitutional population aged 15 years old or older living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS data are provided on labor force activity for the week prior to the survey. In addition, CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationship, occupation, and industry. In addition to the basic CPS questions, the February 2016 Annual Arts Basic Survey (AABS) questions were asked of the CPS respondent and spouse as well as another randomly selected household member aged 18 or older and his/her spouse. About one-quarter of the sampled households were asked the supplement questions. Interview numbers 3 and 7 were asked the supplement questions. If the selected person had a spouse or partner then questions were also asked of the spouse/partner. The supplement contained questions about the sampled member's participation in various artistic activities from February 2015 through February 2016. Questions were asked about the use of pottery, ceramics, jewelry, leatherwork, metalwork and woodwork. They were also asked about weaving, crocheting, needlepoint, knitting, sewing, and whether they played a musical instrument. Questions also included doing any acting, singing or dance. Interviews were conducted during the period of February 14-20, 2016. The total sample size of the 2016 AABS was 150,294 Americans, ages 18 and older.

In 2022, there were around 38 legal abortions per 100 live births among unmarried women in the United States. In comparison, the rate of abortion per live births among married women was around four per 100. The abortion rates for both married and unmarried women in the United States have decreased over the last few decades. Abortion statistics in the United States In 2022, the overall rate of abortion in the United States per 100 live births was 19.9. Abortion in the U.S. is most common among women aged 25 to 29 years, with around 19 abortions per 1,000 women in this age group. The most common method of abortion in 2022 was medical abortion with a gestation of nine weeks or less, followed by surgical abortion with a gestation of 13 weeks or less. Medical abortion involves taking prescription medication to end the pregnancy, while surgical abortion involves a surgical procedure. The two main types of surgical abortion are vacuum aspiration and dilation and evacuation (D&E). Abortion-related deaths in the United States are very rare, with only five such deaths reported in 2021. Abortion among adolescents In 2022, the abortion rate among adolescent women in the United States aged 15 to 19 years was 5.4 per 1,000 population. In comparison, in 2013, this rate was 8.2 per 1,000 women. Perhaps unsurprisingly, the abortion rate among adolescent women increases with age. In 2022, those aged 19 years had the highest rate of abortion among teenagers. The majority of abortions performed on adolescent women are done in week nine or less of gestation. In 2022, there were around 24,626 abortions performed on adolescent women in week nine or less of gestation, while 9,313 abortion procedures were carried out after week nine of gestation.

About this dataset

Context

The dataset tabulates the population of Social Circle by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Social Circle. The dataset can be utilized to understand the population distribution of Social Circle by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Social Circle. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Social Circle.

Key observations

Largest age group (population): Male # 15-19 years (376) | Female # 25-29 years (272). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Social Circle population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Social Circle is shown in the following column.
• Population (Female): The female population in the Social Circle is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Social Circle for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Social Circle Population by Gender. You can refer the same here

US Census American Community Survey (ACS) 2015, 5-year estimates of the key social characteristics of Census Tract geographic level in Orange County, California. The data contains 500 fields for the variable groups S01: Households by type (universe: total households, table X11, 17 fields); S02: Relationship (universe: population in households, table X9, 19 fields); S03: Marital status (universe: population 15 years and over, table X12, 13 fields); S04: Fertility (universe: women 15-50 years who had birth in the past 12 months, table X13, 11 fields); S05: Grandparents (universe: grandparents living or responsible for own grandchildren under 18 years, table X10, 18 fields); S06: School enrollment (universe: population 3 years old and over enrolled in school, table X14, 17 fields); S07: Educational attainment (universe: population 25 years and over, table X15, 25 fields); S08: Veteran status (universe: civilian population 18 years and over, table X21, 2 fields); S09: Disability status and type by sex and age (universe: total civilian non-institutionalized population, table X18, 77 fields); S10: Disability status by age and health insurance coverage (universe: civilian non-institutionalized population, table X18, 16 fields); S11: Residence 1 year ago (universe: population 1 year and over, table X7, 6 fields); S12: Place of birth (universe: total population, table X5, 27 fields); S13: Citizenship status by nativity in the US (universe: total population, table X5, 6 fields); S14: Year of entry (universe: population born outside the US, table X5, 21 fields); S15: World region of birth of foreign born population (universe: foreign born population, excluding population born at sea, table X5, 25 fields); S16: Language spoken in households (universe: total households, table X16, 6 fields); S17: Language spoken at home (universe: population 5 years and over, table X16, 67 fields); S18: Ancestry (universe: total population reporting ancestry, table X4, 114 fields), and; S19: Computers and internet use (universe: total population in households and total households, table X28, 13 fields). The US Census geodemographic data are based on the 2015 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).