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

Abstract (en): The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2010 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning. This survey also asked respondents about political affiliation, health care, general feelings, and opinions on independent living communities. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information include ethnic origin, sex, age, marital status, and education. The purpose of this survey series is to forecast changes in aggregate consumer behavior. The data are not weighted. This collection contains four weights; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please visit the Surveys of Consumers Web site and refer to the documentation on Sample Design and the section on Sample Weights. 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.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Persons age 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census division National sampling of dwelling units selected by area probability sampling. 2015-09-15 This collection has been fully curated and is being updated to include SPSS, SAS, and Stata data and setup files, a tab-delimited data file, an R data file, and a PDF codebook. computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the ICPSR Codebook. Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.

Abstract

The objective of the Household Budget Survey is to obtain data on the level and structure of household consumption expenditures. Data obtained from the Survey is used for updating and constructing of weights for national consumer price index. Furthermore, the data on the structure of household consumption expenditure is used for the needs of national accounts, i.e. for calculating of final household consumption, for calculating of imputed housing rents and for estimating figures on grey economy.

As the Household Budget Survey provides a number of information for monitoring economic and social conditions of life in households, the range of data users is very wide. Survey data are used for analyses and studies on living standards in population, measuring poverty, analyses of consumer habits and so on. Besides data on household expenditure, the Survey also collects other important data such as demographic data on household members, data on income and earnings by household members, data on housing characteristics and conditions, and so on.

Geographic coverage

Croatia

Universe

All household members. Exclusions: people who live in collective households or students in dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Survey was carried out on a random sample of private households. The sample frame used for the selection of dwellings occupied by private households was based on the Census 2011 data.

In 2014, the Household Budget Survey sample was selected in two stages. In the first one, 416 segments were selected (segments are territorial units consisting of one or several neighbouring enumeration areas). In the second stage, 10 occupied dwellings were randomly selected out of each of the selected segments. Thus, 4 160 dwellings occupied by private households were selected in the sample.

Mode of data collection

Face-to-face [f2f]

Research instrument

Instruments used for data collection in the Household Budget Survey are survey questionnaires. There are four questionnaires:

• Questionnaire for Household Members, HBS-1
• Questionnaire for Households, HBS-2
• Diary, HBS-3.1
• Questionnaire on Food, Beverages, Tobacco and Consumer Products, HBS-3.2

Cleaning operations

Based on the defined deadlines, the collected survey data from regional units is submitted to the Statistics Department at the Croatian Bureau of Statistics, which is responsible for further actions relating to data processing procedure.

Data processing includes data entry, data checking, weighting, tabulating, analysis of results and final preparation of data for publishing. Data entry and checking is performed using the Blaise software program while data weighting and tabulation is done using the SAS software (Statistical Analysis System).

Response rate

There were 2029 private households that were successfully interviewed. The response rate at the household level was 54%.

Note: This version supersedes version 1: https://doi.org/10.15482/USDA.ADC/1522654. In Fall of 2019 the USDA Food and Nutrition Service (FNS) conducted the third Farm to School Census. The 2019 Census was sent via email to 18,832 school food authorities (SFAs) including all public, private, and charter SFAs, as well as residential care institutions, participating in the National School Lunch Program. The questionnaire collected data on local food purchasing, edible school gardens, other farm to school activities and policies, and evidence of economic and nutritional impacts of participating in farm to school activities. A total of 12,634 SFAs completed usable responses to the 2019 Census. Version 2 adds the weight variable, “nrweight”, which is the Non-response weight. Processing methods and equipment used The 2019 Census was administered solely via the web. The study team cleaned the raw data to ensure the data were as correct, complete, and consistent as possible. This process involved examining the data for logical errors, contacting SFAs and consulting official records to update some implausible values, and setting the remaining implausible values to missing. The study team linked the 2019 Census data to information from the National Center of Education Statistics (NCES) Common Core of Data (CCD). Records from the CCD were used to construct a measure of urbanicity, which classifies the area in which schools are located. Study date(s) and duration Data collection occurred from September 9 to December 31, 2019. Questions asked about activities prior to, during and after SY 2018-19. The 2019 Census asked SFAs whether they currently participated in, had ever participated in or planned to participate in any of 30 farm to school activities. An SFA that participated in any of the defined activities in the 2018-19 school year received further questions. Study spatial scale (size of replicates and spatial scale of study area) Respondents to the survey included SFAs from all 50 States as well as American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, the U.S. Virgin Islands, and Washington, DC. Level of true replication Unknown Sampling precision (within-replicate sampling or pseudoreplication) No sampling was involved in the collection of this data. Level of subsampling (number and repeat or within-replicate sampling) No sampling was involved in the collection of this data. Study design (before–after, control–impacts, time series, before–after-control–impacts) None – Non-experimental Description of any data manipulation, modeling, or statistical analysis undertaken Each entry in the dataset contains SFA-level responses to the Census questionnaire for SFAs that responded. This file includes information from only SFAs that clicked “Submit” on the questionnaire. (The dataset used to create the 2019 Farm to School Census Report includes additional SFAs that answered enough questions for their response to be considered usable.) In addition, the file contains constructed variables used for analytic purposes. The file does not include weights created to produce national estimates for the 2019 Farm to School Census Report. The dataset identified SFAs, but to protect individual privacy the file does not include any information for the individual who completed the questionnaire. Description of any gaps in the data or other limiting factors See the full 2019 Farm to School Census Report [https://www.fns.usda.gov/cfs/farm-school-census-and-comprehensive-review] for a detailed explanation of the study’s limitations. Outcome measurement methods and equipment used None Resources in this dataset:Resource Title: 2019 Farm to School Codebook with Weights. File Name: Codebook_Update_02SEP21.xlsxResource Description: 2019 Farm to School Codebook with WeightsResource Title: 2019 Farm to School Data with Weights CSV. File Name: census2019_public_use_with_weight.csvResource Description: 2019 Farm to School Data with Weights CSVResource Title: 2019 Farm to School Data with Weights SAS R Stata and SPSS Datasets. File Name: Farm_to_School_Data_AgDataCommons_SAS_SPSS_R_STATA_with_weight.zipResource Description: 2019 Farm to School Data with Weights SAS R Stata and SPSS Datasets

Abstract (en): The American Community Survey (ACS) is a part of the Decennial Census Program, and is designed to produce critical information about the characteristics of local communities. The ACS publishes social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. Every year the ACS supports the release of single-year estimates for geographic areas with populations of 65,000 or more. Demographic variables include sex, age, relationship, households by type, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, disability status, residence one year ago, place of birth, U.S. citizenship status, year of entry, world region of birth of foreign born, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status. Variables focusing on housing characteristics include occupancy, units in structure, year structure built, number of rooms, number of bedrooms, housing tenure, year householder moved into unit, vehicles available, house heating fuel, utility costs, occupants per room, housing value, and mortgage status. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory. The data in the household and population files contain weights. The initial weights reflect the probability of selection and are adjusted for interviewed households to account for noninterviews. Additional weights reflect independent housing unit and population estimates. 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 online analysis version with question text.. All persons and housing units in the United States including Puerto Rico. 2008-05-02 Parts 105 and 106 have been added to this data collection to include the housing and population data files for Puerto Rico. Question text has been added to the codebooks. SAS, SPSS, and Stata setup files, and SAS supplemental files have been added for both parts 105 and 106. SDA has been added for both parts 105 and 106 of this data collection. mail questionnaire, computer-assisted telephone interview (CATI), computer-assisted personal interview (CAPI)Parts 103 and 104 represent, respectively, the entire United States Housing and Population datasets for the 2005 American Community Survey (ACS). Both parts 103 and 104 are quite large and should be downloaded at the discretion of the user. ICPSR suggests SDA online analysis for those users who wish to use the United States ACS housing and population datasets but have decided not to download the respective parts: United States Housing SDA, United States Population SDA.Any state's housing and population data files can be merged via the variable SERIALNO to create a hierarchical data file. The hierarchical data structure represents the responses of all individuals reported living in a given housing unit. Individuals can be distinguished by the variable SPORDER (Person Number). If users are merging files, keep in mind that estimates of family, household, and housing characteristics will make use of the housing weights. Estimates of person characteristics will use the person weights. Users are strongly encouraged to read all documentation regarding sampling errors and weights prior to merging files. Documentation is available for download or can be accessed on the American Community Survey Web site.

Abstract (en): The purpose of the Health Interview Survey is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. There are five types of records in this core survey, each in a separate data file. The variables in the Household File (Part 1) include type of living quarters, size of family, number of families in the household, presence of a telephone, number of unrelated individuals, and region. The Person File (Part 2) includes information on sex, age, race, marital status, Hispanic origin, education, veteran status, family income, family size, major activities, health status, activity limits, employment status, and industry and occupation. These variables are found in the Condition, Doctor Visit, and Hospital Episode Files as well. The Person File also supplies data on height, weight, bed days, doctor visits, hospital stays, years at residence, and region variables. The Condition File (Part 3) contains information for each reported health condition, with specifics on injury and accident reports. The Hospital Episode File (Part 4) provides information on medical conditions, hospital episodes, type of service, type of hospital ownership, date of admission and discharge, number of nights in hospital, and operations performed. The Doctor Visit File (Part 5) documents doctor visits within the time period and identifies acute or chronic conditions. A sixth file has been added, along with the five core files. The Health Insurance File (Part 6) documents basic demographic information along with medical coverage and health insurance plans, as well as differentiates between hospital, doctor visit, and surgical insurance coverage. Civilian, noninstitutionalized population of the United States. A multistage probability sample was used in selecting housing units. 2010-09-30 Frequencies and variable labels that were previously incorrect have been corrected.2010-09-09 A technical error has been found and resolved in the processing procedure, in which defined file sets did not match subsequent data sets.2010-09-02 SAS, SPSS, and Stata setup files have been added. Some corresponding documentation has been updated and pre-existing data files have been replaced. A sixth dataset has been added in place of the National Health Survey Procedure Documentation, which can now be found with all other corresponding and added documentation.2006-01-18 File CB8337.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. face-to-face interviewThese data files contain weights that must be used in any analysis.Per agreement with NCHS, ICPSR distributes the data files and text of the technical documentation for this collection as prepared by NCHS.

Abstract (en): This round of Euro-Barometer surveys queried respondents on standard Euro-Barometer measures, such as how satisfied they were with their present life, whether they attempted to persuade others close to them to share their views on subjects they held strong opinions about, whether they discussed political matters, what their country's goals should be for the next ten years, and how they viewed the need for societal change. Additional questions focused on the respondents' knowledge of and opinions on the European Community (EC), including how well-informed they felt about the EC, what sources of information about the EC they used, whether their country had benefited from being an EC member, and the extent of their personal interest in EC matters. Another major focus of this surveys was on respondents' concerns about various forms of pollution and ecological problems. Respondents also were asked about possible characteristics of a European television system. Their political orientation and level of political awareness and involvement were also measured, as well as their voting preference if general elections were to be held the next day in each country. Demographic information about the respondents includes age, sex, marital status, family income, age when completed education, occupation, number of people living in respondent's household, and province and region of interview. Euro-Barometer 18 contains data gathered from representative samples of respondents who were interviewed in each of the ten nations of the EC (Germany, Great Britain, Denmark, Italy, France, Belgium, Luxembourg, Ireland, the Netherlands, and Greece) in October 1982. The data are not weighted, however there are three weight variables, V7 (NATION WEIGHT) and V8 (EUROPEAN WEIGHT), that users may wish to apply during analysis. 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: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Citizens of the EC aged 15 and over residing in Belgium, Denmark, France, Germany, the Great Britain (including Northern Ireland), Greece, Ireland, Italy, Luxembourg, and the Netherlands. Smallest Geographic Unit: country Multistage national probability sampling or national stratified quota sampling. 2017-03-27 The SPSS setup files were updated to conform to current standards. SAS and Stata setup files, as well as SPSS and Stata system files, a SAS transport (CPORT) file, an R data file, a tab-delimited data file, and a PDF codebook have been added to the collection. Funding insitution(s): National Science Foundation (SES-8208333). face-to-face interviewThe text of the British questionnaire was used in constructing the codebook.