analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D
https://www.icpsr.umich.edu/web/ICPSR/studies/30901/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30901/terms
The American Time Use Survey (ATUS) collects information on how people living in the United States spend their time. Data collected in this study measured the amount of time that people spent doing various activities in 2010, such as paid work, child care, religious activities, volunteering, and socializing. Respondents were interviewed only once about how they spent their time on the previous day, where they were, and whom they were with. Part 1, Activity File, includes additional information on activities in which respondents participated, including the location of each activity and the total time spent on secondary child care. Part 2, Call History File, gives information about each call attempt. Part 3, Case History File, contains information about the interview process. Part 4, ATUS-CPS 2010 File, contains demographic and occupational data on respondents and members of their household collected during their participation in the Current Population Survey (CPS). Part 5, Respondent File, contains demographic information about respondents. Part 6, Roster File, contains information about household members and non-household children under the age of 18. Part 7, Activity Summary File, contains a summary of the total amount of time they spent doing each activity that day. Part 8, Trips File, provides information about the number, duration, and purpose of overnight trips away from home for two or more nights in a row in a given reference month. Part 9, ATUS 2010 Replicate Weights File, contains base weights, replicate base weights, and replicate final weights for each case that was selected to be interviewed for the ATUS. Part 10, Who File, includes data on who was present during each activity. Demographic variables include sex, age, race, ethnicity, marital status, education level, income, employment status, occupation, citizenship status, country of origin, labor union membership of household members, and household composition.
The table All ESI CPS Matched Weights is part of the dataset Weighting Techniques for Large Private Claims Data, available at https://redivis.com/datasets/6f7e-cxanam2b8. It contains 573021998 rows across 7 variables.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de436110https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de436110
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 Internet and Computer Use in the United States, which was administered as a supplement to the August 2000 CPS.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 August 2000 supplement survey queried respondents on whether there was a personal computer and/or laptop in the household, how many computers or laptops were in the household, if anyone in the household used the Internet, who was the Internet service provider, how the Internet was accessed (i.e., dial-up, DSL, or cable modem), and where the Internet was regularly accessed (e.g, from home, work, community center, library, or religious facility). Other Internet specific questions included concerns about providing personal information over the Internet, if household members used the Internet to access e-mail, news, weather, play games, take on-line courses, shop, pay bills, look for a job, or search for information about products and services (like health, government, or financial services). Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The data contain seven weight variables: Household Weight -- HWHHWGT -- Used for tallying household characteristics.; Family Weight -- PWFMWGT -- Used for 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.; There is no supplement weight, so use the basic CPS final weight -- PWSSWGT -- for tallying individuals on the file. Users are strongly encouraged to refer to the User Guide for detailed information on how to use the weights, as well as how they were derived. The universe for the basic CPS monthly survey consisted of all persons in the civilian noninstitutionalized population of the United States living in households. The August 2000 supplement universe represented the full CPS sample comprising all households. A multistage probability sample was selected to represent the universe of approximately 48,000 households. 2011-09-19 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 not only information about the basic CPS survey, but also detailed technical documentation specific to the Internet and Computer Supplement. In particular, Attachment 9 of the User Guide contains the supplement questionnaire.The universe statements for each variable are defined in either the basic or supplement record layout, which are located in Attachment 7 and 8, 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.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de438265https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de438265
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.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447322https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447322
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 food security in the United States, which was administered as a supplement to the December 2006 CPS questionnaire. The CPS Food Security supplement was sponsored and conducted by the United States Census Bureau for the Economic Research Service (ERS) of the United States Department of Agriculture (USDA).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. In December, the week containing the nineteenth day of the month was the interview week. The week containing the twelfth day was the reference week (i.e., the week about which the labor force questions were asked).The supplement was intended to research the full range of severity of food insecurity as experienced in United States households. The food security questions were asked of all interviewed households, as appropriate. Respondents were queried on how much the household spent for food, their use of federal and community food assistance programs, whether they were able to afford enough food, food sufficiency, and ways of coping with not having enough food. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The Food Security supplement variables can be categorized by five major sections: Food Spending (HES1A-HES8).; Minimum Food Spending Needed (HES8B-HES8D).; Food Assistance Program Participation (HES9-HESP9).; Food Sufficiency and Food Security (HESS1-HESSHM5). This section includes the 18 food security questions that are used to calculate the 12-month Food Security Scales as well as follow-up questions that are used to calculate the 30-day food security scales.; Ways of Avoiding or Ameliorating Food Deprivation -- Coping Strategies (HESC1-HESCM4).; The data contain nine weight variables: Household Weight -- HWHHWGT -- Used in tallying household-level characteristics for labor force survey variables.; Family Weight -- PWFMWGT -- Used only in tallying family-level characteristics for labor force survey variables.; 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 Household Weight -- HHSUPWGT -- Used in tallying household-level characteristics for supplement survey variables.; Supplement Person Weight -- PWSUPWGT -- Used in tallying household member-level characteristics for supplement survey variables.; 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. Presence of Common Scales: Detailed information regarding the scales is located in Attachment 17 of the User Guide. The basic CPS universe is comprised of all persons in the civilian noninstitutionalized population of the United States living in households. The December 2006 supplement universe represented the full CPS sample comprised of all interviewed CPS households. The CPS uses a multistage probability sample based on results of the decennial census, with coverage in all 50 states and the District of Columbia. 2011-09-07 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 ...
https://www.icpsr.umich.edu/web/ICPSR/studies/36268/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36268/terms
The American Time Use Survey (ATUS) is the Nation's first federally administered, continuous survey on time use in the United States. This multi-year data collection contains information on the amount of time (in minutes) that people spent doing various activities on a given day, including the arts activities, in the years 2003 through 2023. Data collection for the ATUS began in January 2003. Sample cases for the survey are selected monthly, and interviews are conducted continuously throughout the year. In 2023, approximately 9,000 individuals were interviewed. Estimates are released annually. ATUS sample households are chosen from the households that completed their eighth (final) interview for the Current Population Survey (CPS), the nation's monthly household labor force survey. ATUS sample households are selected to ensure that estimates will be nationally representative. One individual age 15 or over is randomly chosen from each sampled household. This "designated person" is interviewed by telephone once about his or her activities on the day before the interview--the "diary day." The ATUS Activity Coding Lexicon is a 3-tiered classification system with 17 first-tier categories. Each of the first-tier categories has two additional levels of detail. Respondents' reported activities are assigned 6-digit activity codes based on this classification system. Additionally, the study provides demographic information--including sex, age, ethnicity, race, education, employment, and children in the household. IMPORTANT: The 2020 ATUS was greatly affected by the coronavirus (COVID-19) pandemic. Data collection was suspended in 2020 from mid-March to mid-May. ATUS data files for 2020 contain all ATUS data collected in 2020--both before and after data collection was suspended. For more information, please visit BLS's ATUS page. The weighting method was changed for 2020 to account for the suspension of data collection in early 2020 due to the COVID-19 pandemic. Respondents from 2020 will have missing values for the replicate weights on this data file. The Pandemic Replicate weights file for 2019-20 contains 160 replicate final weights for each ATUS final weight created using the 2020 weighting method. Chapter 7 of the ATUS User's Guide provides more information about the 2020 weighting method.
The Annual Social and Economic Supplement or March CPS supplement is the primary source of detailed information on income and work experience in the United States. Numerous publications based on this survey are issued each year by the Bureaus of Labor Statistics and Census. A public-use microdata file is available for private researchers, who also produce many academic and policy-related documents based on these data. The Annual Social and Economic Supplement is used to generate the annual Population Profile of the United States, reports on geographical mobility and educational attainment, and detailed analysis of money income and poverty status. The labor force and work experience data from this survey are used to profile the U.S. labor market and to make employment projections. To allow for the same type of in-depth analysis of hispanics, additional hispanic sample units are added to the basic CPS sample in March each year. Additional weighting is also performed so that estimates can be made for households and families, in addition to persons.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de449700https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de449700
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 veterans in the United States, which was administered as a supplement to the July 2010 CPS questionnaire. The sponsor of the biennial supplement survey were the Department of Veterans Affairs (VA), formerly the Veterans Administration, and the Department of Labor.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 veterans aged 17 or older received questions from the Veterans Supplement, which provides estimates on the demographic and labor force characteristics of veterans who have a service-connected disability in comparison to all other veterans. The data also made distinctions between Gulf War era veterans and Vietnam theater veterans; the latter being veterans who served in Vietnam, Laos, or Cambodia. Estimates were also provided on the number of veterans with or without a service-connected disability and their labor force participation rate, occupational distributions, unemployment rates, periods of military service, and use of certain educational and job training programs. The Veterans Supplement portion of the study was designed to be a self-response survey and general interviewers were instructed to make up to two personal or telephone callbacks before accepting a proxy interview.Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The data contain seven weight variables: Household Weight -- HWHHWGT -- Used for tallying household characteristics.; Family Weight -- PWFMWGT -- Used only for 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 (particularly if tabulating just labor force items), 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. Controlled to estimates of veterans suppleied by VA.; Composited Final Weight -- PWCMPWGT -- Used to create BLS's published labor force statistics.; The CPS universe consists of all persons in the civilian noninstitutional population of the United States living in households. The July 2010 supplement universe represents the full CPS sample comprising all household members aged 17 years and older. A multistage probability sample was selected to represent the universe of approximately 56,000 households. 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 the questionnaire for the supplement, as well as additional detailed technical documentation regarding the study design, sampling frame used, and response rates.The universe statements for each variable are defined in either the basic or supplement record layout, which is 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.
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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 School Enrollment in the United States, which was administered as a supplement to the 2006 October CPS. The Census Bureau and the National Center for Education Statistics also jointly sponsor the supplemental questions for October. 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 October supplemental survey queried respondents on school enrollment for all persons in the household aged three and over. Information was collected on current grade at public or private school, whether attending college full- or part-time at a two-or four-year institution, year last attended a regular school, year graduated from high school, grade retention, and whether any business, vocational, technical, trade, or correspondence courses were ever taken. 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, and how they were derived. The CPS universe was made up of all persons in the civilian noninstitutionalized population of the United States living in households. The October 2006 supplement universe included the full CPS sample comprised of all people 3 years old or over. A multistage probability sample was selected to represent the universe of approximately 55,000 households. 2011-09-15 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 not only information about the basic CPS survey, but also detailed technical documentation specific to the School Enrollment Supplement. In particular, Attachment 8 of the User Guide contains the supplement questionnaire.The universe statements for each variable are defined in either the basic or supplement record layout, which are located in Attachment 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.
https://www.icpsr.umich.edu/web/ICPSR/studies/30902/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30902/terms
The American Time Use Survey (ATUS) collects information on how people living in the United States spend their time. Data collected in this study measured the amount of time that people spent doing various activities in 2009, such as paid work, child care, religious activities, volunteering, and socializing. Respondents were interviewed only once about how they spent their time on the previous day, where they were, and whom they were with. Part 1, Activity File, includes additional information on activities in which respondents participated, including the location of each activity and the total time spent on secondary child care. Part 2, Call History File, gives information about each call attempt. Part 3, Case History File, contains information about the interview process. Part 4, ATUS-CPS 2009 File, contains demographic and occupational data on respondents and members of their household collected during their participation in the Current Population Survey (CPS). Part 5, Respondent File, contains demographic information about respondents. Part 6, Roster File, contains information about household members and non-household children under the age of 18. Part 7, Activity Summary File, contains a summary of the total amount of time they spent doing each activity that day. Part 8, Trips File, provides information about the number, duration, and purpose of overnight trips away from home for two or more nights in a row in a given reference month. Part 9, ATUS 2009 Replicate Weights File, contains base weights, replicate base weights, and replicate final weights for each case that was selected to be interviewed for the ATUS. Part 10, Who File, includes data on who was present during each activity. Demographic variables include sex, age, race, ethnicity, marital status, education level, income, employment status, occupation, citizenship status, country of origin, labor union membership of household members, and household composition.
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de438381https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de438381
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...
Weight in kilograms for all species (identified to lowest taxonomic criteria) caught during SWFSC-FRD fishery independent surveys (including DEPM, ATM, SaKe) of coastal pelagic species using mid-water trawls (with most tows performed near the surface) at position and times listed. Additional information for a subset of individuals from some species can be found in either CPS Trawl Life History Length Frequency or the CPS Trawl Life History Specimen datasets.
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Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a Tobacco Use Supplement (TUS) survey. The TUS 2010-2011 Wave consists of four collections: May 2010, August 2010, January 2011, and May 2010-May 2011. The Current Population Survey, administered monthly, is the source of the official government statistics on employment and unemployment. From time to time, additional questions are included on health, education, and previous work experience. Similar to other CPS supplements, the Tobacco Use Supplement was designed for both proxy and self-respondents. All CPS household members age 18 and older who had completed CPS core items were eligible for the supplement items. Both proxy and self-respondents were asked about their smoking status and the use of other tobacco products. For self-respondents only, different questions were asked depending on their tobacco use status: For former/current smokers, questions were asked about type of cigarettes smoked, measures of addiction, attempts to quit smoking, methods and treatments used to quit, cost of cigarettes and age initiating everyday cigarette smoking and the state of residence at that time, etc. Current smokers were asked whether the medical and dental community had advised them to quit smoking, and if they were planning to quit in the future. All self-respondents were asked about smoking policy at their work place and their attitudes towards smoking in different locations. Demographic information within this collection includes age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, family relationship, occupation, and income. All adult records retain the basic CPS final weight, PWSSWGT, which controls for age, race, sex, Hispanic origin estimates, and individual state estimates. Please use this basic final weight for tallying the labor force items. This collection also contains two special supplement weights: a supplement non-response adjustment weight (PWNRWGT), and a supplement self-response adjustment weight (PWSRWGT). Please use PWNRWGT for tallying the supplement items. Users interested in self-response analysis (especially for those items requiring self-response only), please use PWSRWGT for tallying the supplement items. Additional weights include: HWHHWGT, which is the household weight used for tallying household characteristics and adjusts for household nonresponse. PWFMWGT, which is the family weight used only for tallying family characteristics. PWLGWGT, the longitudinal weight found only on adult records matched from month to month; also used for gross flows analysis. PWORWGT, the outgoing rotation weight used for tallying information collected only in outgoing rotations. PWVETWGT, the veterans weight used for tallying veteran's data only; controlled to estimates of veterans supplied by VA. PWCMPWGT, the composited final weight used to create BLS's published labor force statistics. For more information on weights, please refer to the Technical Documentation. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. All persons aged 18 and above in the civilian non-institutional population of the United States. Smallest Geographic Unit: city The current CPS sample is selected based on information from the 2000 census. The first stage of the sample design created 2,025 geographic areas called primary sampling units (PSU) in the entire United States. The PSUs were grouped into strata within each state. A total of 824 PSUs were selected for sampling. Approximately 72,000 housing units within the selected PSUs are assigned for interview each month. A unique feature of the CPS is its panel design, in which each household in the sample is surveyed for four consecutive months and then four more consecutive months nine months later. Due to this sampling strategy, a subset of persons who were in sample for any given month of TUS-CPS fielding can be linked with other CPS conducted wi...
The CPS survey is a follow up survey designed to provide information that will help to evaluate the current situation and status of the police services which had been delivered to the public since 2010 which was conducted by NUS Consult Ltd. It aims to provide an enabling environment to facilitate quality policing services, and, for policing services to deliver the most effective and efficient services pertaining to public safety, crime, and, general policing within Samoa. The CPS 2013 is a nationally representative sample survey designed to collect data that would help to evaluate policing programs over the previous three years (2011-2013), and, to provide feedback and views from the community or public on the delivery of policing services to all.
National coverage Region
Individuals 18 years of age and over were the units of analysis.
The target population was adults 18 years and older residing in the community.
Sample survey data [ssd]
In national statistical surveys, the region of Apia Urban Area (AUA) represented the urban population while the regions of North West Upolu (NWU), Rest of Upolu (ROU) and Savaii represented the rural population. The target population was adults 18 years and older residing in the community. Hence all persons 18+ who were usual residents of the household were eligible in the survey. The sample for the CPS 2013 was drawn from the master sample frame of the List of occupied households compiled in the most recent Population and Housing Census 2011. The sample size was based on a 95 percent confidence interval of ± 5 percent margin of error; assuming an 80 percent response rate; a design-effect of 1.5 to allow for clustering of the complex design; and; an average of 3 persons 18+ per household. The design also considered the features of a follow-up survey assuming that the policing services had improved by at least 10 percent since the baseline CPS 2010 results. After taking into account all those features, it resulted in the required sample size of 540 persons aged 18 years and older.
Therefore in order to achieve the sample size, a representative probability sample of households was selected in two stages The first stage involved the selection of clusters from the master sample frame using stratified systematic sampling with probability proportional to size. A total of 45 primary sampling units or clusters were selected in which 10 clusters were selected from the urban areas and 35 clusters were selected from the rural areas. The design did not allow for replacement of clusters or households.
In the second stage, a total of 5 households were selected from each cluster using systematic equal probability selection for inclusion in the survey. Normally an updated household listing from selected clusters could have been done to select 5 households. However, due to the unexpected request of the MPP survey in February 2013, and the fact that the census 2011 was just completed in the previous two years, it was seen not necessary to conduct a fresh household listing which would have taken SBS another two months to carry out causing delay to the survey.
Face-to-face [f2f]
Based on the request by MPP, a structured English questionnaire which was used in the CPS 2010 was also implemented in the CPS 2013. However, SBS made some improvements in terms of instructions between questionnaire sections in order to make the interviewing flow properly from beginning to end. The questionnaire was also translated into the Samoan language to complement the English questionnaire so that the interpretation of questions by the field enumerators was consistent on the field. In addition, since probability sampling and complex design was used, a new cover page of the questionnaire was developed so that selected clusters and household identification were clearly made and that features to account for non-coverage of the households and non-response of eligible persons 18 years and older were also accounted for during the fieldwork. The questionnaire therefore has five parts. Section A has 5 questions about the respondent details. Section B contains 7 questions intended to find out the community's views on safety and crime plus an open question for the respondents to express their own opinions about the topic. Section C contains 7 questions to find out the respondents personal awareness and experience (if any) of crime and crime management. An open question was also added for their own opinions. Section D contains 4 sub-sections (D1 to D4) which seek questions on the overall community perception of the MPP services whereby each sub-section also contained open-questions. D1 contains 3 questions about the assistance sought by the community at the MPP. D2 contains 2 questions about the control of crime. D3 contains 4 questions about police service in general and D4 contains 2 questions about the access to police information, education and communication. Section E is the last section which was again open to the respondents to make their own suggestions on how police can improve their job to assist the community.
The data editing, cleaning and weighting of the data took another two weeks (June 4-14) to complete, leaving only two weeks (June 17-30) to analyse and write the analysis report to meet the deadline.
A total of 225 households were selected for the sample of which 216 were found occupied at the time of the survey. Of the occupied households, only 209 were successfully interviewed resulting in a household response rate of 96.8 percent. The other households were not available throughout the survey period despite repeated visits by the field teams. The total eligible persons 18 years and older who were found in the interviewed households were 731. Out of this total, only 645 were successfully interviewed yielding the Individual response rate of 88.2 percent. The response rates by sex shows 90 percent for females and 87 percent for males which is not surprising as males usually spent more time away from home than females. That situation was reflected more in the regions of North West Upolu and Rest of Upolu than in Savaii and Apia Urban Area. The high response rate in Savaii was due mainly to the field teams sleeping over in Savaii for one week. Therefore, the Savaii team had extra time after hours to make call-backs while the team in Upolu had to commute daily until 7pm for repeated visits, hence missed out on those who come home later.
Individual specimens measured (weight in grams and length in mm) and sexed from mainly targeted species caught during SWFSC-FRD fishery independent trawl surveys of coastal pelagic species. Individuals are categorized as random or non-random samples. Does not include species with length bins recorded in the CPS Trawl Life History Length Frequency dataset.
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Gene expression and BMI.
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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 voting and registration in the United States, which was administered as a supplement to the November 2008 CPS questionnaire. The Housing and Household Economic Statistics Division of the Census Bureau sponsored the supplemental questions for November.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.The voting and registration supplement data are collected every two years to monitor trends in the voting and nonvoting behavior of United States citizens in terms of their different demographic and economic characteristics. The supplement was designed to be a proxy response supplement, meaning a single respondent could provide answers for all eligible household members. The supplement questions were asked of all persons who were both United States citizens and 18 years of age or older. The CPS instrument determined who was eligible for the voting and registration supplement through the use of check items that referred to basic CPS items, including age and citizenship.Respondents were queried on whether they were registered to vote in the November 4, 2008 election, main reasons for not being registered to vote, main reasons for not voting, whether they voted in person or by mail, and method used to register to vote. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. There is no supplement weight associated with the November 2008 supplement. Use the basic CPS weight, PWSSWGT, for tallying the supplement items. Please refer to the User Guide for additional information concerning the creation and use of this and other weight variables. All persons in the civilian noninstitutionalized population of the United States living in households. A multistage probability sample based on results of the decennial Census was used for the housing unit. 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 the questionnaire for the supplement, as well as additional detailed technical documentation regarding the study design, sampling frame used, and response rates.The universe statements for each variable are defined in either the basic or supplement record layout, which is located in Attachment 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.
The Survey seeks to update measures of fertility and contraceptive use among women aged 15 - 44 years and will for the first time include a special module for young adults (male and female) aged 15-24 years as well as males aged 15-54 years.
This CPS, coming as it does in the last decade of the century, is of significance to the NFPB in particular and the wider community in general, as it heralds the beginning of the twenty first century and the realization of the goals of Jamaica's National Population Policy. It also comes against the gradual phased withdrawal of contraceptive procurement by the major funding agency, the United States Agency for International Development (USAID), by a twenty percent (20 percent) annual decline over the period 1993-1998 under the Family Planning Initiatives Project (FPIP), as well as the phased diminution of funding from other donor agencies such as the United Nations Fund for Population Activities (UNFPA).
This CPS is in fact one of two surveys to be conducted during the life of the FPIP. Against this background, the NFPB has many challenges ahead which are, inter alia, not only to maintain but also to increase contraceptive prevalence and to achieve further milestones by the inception of the twenty-first century, such as a population of not more than 2.7 million and replacement level fertility of two children per woman. For contraceptive methods and family life services to impact on fertility and contribute to the processes of national development, it is vital that programme effectiveness be evaluated. The reliable and current data collected from the CPS will be of invaluable use in policy analysis and programme implementation for administrators and planners, not only in health but in those areas which impact on population issues at the broader national level.
The 1993 Jamaica Contraceptive Prevalence Survey utilized the design adopted for the Continuous Social and Demographic Surveys conducted by the Statistical Institute of Jamaica. This design is based on a two-stage stratified sample with the first stage being a selection of geographic areas and the second stage, of dwellings. For the selection of the first stage units, the country has been divided into enumeration districts (EDs) which are grouped into sampling regions consisting of a predetermined number of strata, approximately equal in size (where size is measured by the number of dwellings in each sampling region). Two EDs within each sampling region, selected with probability proportionate to size (determined by the number of dwellings), make up the sample at the first stage. At the second stage, a second predetermined number of dwellings are selected systematically from lists of dwellings arranged on a circular basis in each of the EDs designated in the first stage of selection.
The selection process for the 1993 Contraceptive Prevalence Survey involved a refinement of the general sample design of the household surveys conducted by STATIN. First stage sample selection is generally made by parishes, thus providing independent parish samples which allow for the calculation of major characteristics in the sample. In the 1993 CPS, the decision was taken that, based on the need to obtain an affordable sample size, the lowest level of disaggregation would be at the health region and not the parish level. Accordingly, the design provided for independent samples to be selected, with the lowest geographical level being the health region. Secondly, in the general sample design used by STATIN, the first stage sample is selected using identical sampling fractions in each parish; in the 1993 CPS, sampling fractions were varied to take account of the significant disparity in the population in the four health regions. This design was applied to ensure appropriate minimum levels of representation in the smaller health regions population-wise, while reducing oversampling in the more populated health regions. The modified sample design was adopted in an identical way for both the survey of males and that of females. In the effort to achieve cost-effectiveness, it was decided to use the EDs selected for the first stage sample of the Labour Force Survey carried out by STATIN as the basis for the first stage selection of the 1993 surveys, modified in accordance with the description stated above. This ensured that the creation of lists of dwellings prepared for the labour force surveys would be available at no extra cost for use in the 1993 CPS. The modification applied at this stage was to reduce scientifically by twenty five percent the number of EDs in the parishes comprising Health Region, which were selected for the labour force surveys. The numbers of EDs selected in the remaining three health regions were maintained in the 1993 CPS.
The determination of the numbers of dwellings to be chosen at the second stage of selection also took into account the size of the health regions to be surveyed. Thus, the numbers of dwellings chosen in each ED in the four regions were 15, 23, 19 and 15 in Health Regions 1, 2, 3 and 4, respectively. Based on these selections, and taking into consideration expected non-response rates, it was anticipated that a total number of 3,500 responses would be obtained in each of the two surveys.
It should be noted that, as described above, this is not a self-weighting sample design and smaller health regions have been oversampled. In addition, one respondent per household was selected with probability inverse to the number of eligible respondents in the household. Thus, results are based on weighted data.
Face-to-face [f2f]
Four separate survey instruments were developed for use in the 1993 Contraceptive Prevalence Survey programme; one household questionnaire and one individual questionnaire for both male and female surveys.
The household questionnaires (Form CPS 1A for females and Form CPS 1B for males) were designed to record information on all members of the household and included the number of persons living in the household, name, sex, age and educational standard of all household members, identification of the head of household and relationship of all other members to the household head. Information on age provided the basis for identifying eligible residents, allowing for selection of respondents based on the predetermined age criteria, that is, females between the ages of 15 to 44 years in the female survey and males between the ages of 15 to 54 years in the male survey. Data on occupation of the head and number of rooms occupied by household members were also included.
The individual questionnaires, on the other hand, (Form CPS 2 for females and Form CPS 3 for males) were developed to capture the data on the selected respondents in each of the surveys. Each of the individual questionnaires were divided into eight sections with seven of the eight being identical except for the fact that each has been genderized.
The eight sections in both of the surveys are: A. Respondent's background B. Union status and partnership history C. Fertility (female survey) or reproductive history (male survey) D. Family planning E. Attitudes toward contraception and sexuality F. Young adult module G. Current sexuality H. Knowledge of AIDS and its transmission and prevention.
The individual questionnaires were developed to provide comparisons with earlier studies including the 1975/76 Jamaica Fertility Survey, the 1983 and 1989 Contraceptive Prevalence Surveys and the 1987 Young Adult Reproductive Health Survey. In addition, the evaluation of the 1989 Survey by staff members of the National Family Planning Board and the Ministry of Health contributed to the introduction of the new areas of coverage.
Consultations on the content of the survey were held between the Division of Reproductive Health, Centers for Disease Control and Prevention (whose core questionnaires for family planning, maternal-child health and young adult reproductive health surveys provided guidelines), the National Family Planning Board, the Ministry of Health, United States Agency for International Development and the Survey Director, and on the more technical aspects of the survey design, with the Statistical Institute of Jamaica.
The household and individual status of interviews for both female and male samples are shown in Table I-2.6.1 of the Administrative Report. The profile of household selection categories is similar for both males and females. In both samples, slightly more than 50 percent of households (females - 53.9 percent; males - 54.6 percent) had an eligible respondent while residents were hot at home in three percent of households. In households with eligible female respondents, the percentage with complete interviews was disappointingly lower than in previous surveys. The completion rate of 81.9 percent compares with a completion rate of 94.6 percent achieved in the 1989 CPS.
The refusal rate was higher than in past surveys - 7.0 percent compared with 2.2 percent in 1989. In male households, a similar proportion, 80.0 percent of eligible respondents, were interviewed, compared with 95.7 percent of males successfully interviewed in the 1987 Young Adult Reproductive Health Survey (YARHS). The refusal rate was comparable to the female sample - 6.7 percent.
At the national level, in spite of the lower completion rates for males (80.0 percent) and females (81.9 percent), the age distribution of respondents with complete interviews appears to be representative of the population. As seen in the following chapter, the age distribution of men and women with complete interviews closely approximates the end of year population estimates for 1992 produced by the Statistical
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aOne or more of the following conditions was reported at study entry: prevalent cancer (except non melanoma skin), heart disease, stroke, respiratory disease (chronic bronchitis, emphysema, asthma), currently sick, or weight loss of ≥10 lbs. in past year.bRate per 100,000 standardized to the age-distribution of the CPS-II women.cCox proportional hazards model, adjusted for age, race, education, physical activity, alcohol use, marital status, aspirin use, fat consumption, vegetable consumption, and postmenopausal estrogen usedNone of the conditions listed in footnote(a) were reported.Relative risks of death from any cause among women according to BMI, smoking, prevalent disease status and race, CPS-II 1982–2010.
analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D