The Quarterly Census of Employment and Wages (QCEW) program serves as a near census of employment and wage information. The program produces a comprehensive tabulation of employment and wage information for workers covered by Connecticut Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Data on the number of establishments, employment, and wages are reported by industry for Connecticut and for the counties, towns and Labor Market Areas (LMAs) and Workforce Investment Areas (WIAs).

The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

The Employment Summary Statistics dataset is part of the Census of Governments, a complete enumeration of United States governmental units undertaken every five years. This data collection contains the October, 1982 employment and payroll figures for the governments. Data for full- and part-time employment and payrolls are shown for such functions as administration, education, corrections, police, fire protection, utilities, health, public welfare, parks, libraries, sanitation, highways, and transit. Data are also provided for labor-management relations, employee organizations, employee benefits, and unemployment, health, and life insurance. There are four files in this collection. File A provides detailed statistics for each state and local government, File B has the data for local governmental units aggregated by county, and File C has national and state summaries for the following types of governments: (1) State and Local Government Total, (2) State Government, (3) Local Government, (4) Local Governments in SMSA's, (5) Counties, (6) Municipalities, (7) Townships, (8) School Districts, and (9) Special Districts. In addition, the Name and Address File contains name, address, and corresponding government identification code for all of the local governmental units. (Source: ICPSR, retrieved 06/16/2011)

The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI. Industry level data from 1975 to 2000 is reflective of the Standard Industrial Classification (SIC) codes.

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 aged 14 and over. Also shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. The displaced workers questions were asked of all persons aged 20 and over who lost a job involuntarily within the last five years due to operating decisions of a firm, plant, or business in which the worker was employed. Data are provided on reasons for job displacement, industry and occupation of the former job, group health insurance coverage, job tenure, and weekly earnings. Additional data refer to periods of unemployment as well as number of jobs held, use of unemployment benefits, whether residence was changed to seek work in another area, current health insurance coverage, and current weekly earnings. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09285.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

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 15 years old and over. In addition, unemployed persons were asked a series of supplemental questions about unemployment compensation. The purpose of this supplement was to determine why a growing proportion of the unemployed were not receiving or had not been applying for benefits under the unemployment insurance program. Supplement questions focused on whether respondents had applied for unemployment benefits and whether they had received them since their last job, whether they had received an unemployment check in the week prior to the interview, reasons for not receiving unemployment compensation within the previous week, reasons respondents had not received unemployment compensation since their last job, and reasons for not applying for unemployment compensation. About a quarter of the unemployed respondents were asked the supplemental questions each month. These were respondents 15 years and older who reported either that they did not work in the previous week but had been working before and planned to begin a new job within 30 days, or were laid off, or looking for work. Unemployed persons who were trying to find employment for the first time were not considered eligible for the supplement. Personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin are also included in the file.

The Quarterly Census of Employment and Wages (QCEW) program publishes a quarterly count of employment and wages reported by employers covering 98 percent of U.S. jobs, available at the county, MSA, state and national levels by industry.

More information and details about the data provided can be found at http://www.bls.gov/cew

Number of employment insurance beneficiaries receiving regular income benefits by census metropolitan category, last 5 months.

This table contains 8412 series, with data for years 1984 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (255 items: Newfoundland and Labrador; Carbonear; Newfoundland and Labrador; Grand Falls-Windsor; Newfoundland and Labrador; St. John's; Newfoundland and Labrador ...), Beneficiary detail (3 items: Total of income beneficiaries; Beneficiaries receiving regular benefits; Beneficiaries receiving regular benefits without reported earnings ...), Sex (3 items: Males; Both sexes; Females ...), Age group (4 items: All ages;25 to 54 years;55 and over; Under 25 years ...).

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 2010 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 2, 2010, 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.

Employment by Industry reports the total Number of Employers, the Annual Average Employment, and the Annual Average Wage by industry at the town, county, and state level. Industries included in this dataset vary from location to location. In as many locations as possible, five specific industry segments are consistently present (Construction, Manufacturing, Retail Trade, All Industries, Total Government) as well as the largest 3 out of the remaining segments for that location, ranked by Annual Average Employment. Not every location has data for every segment, and some may not have data for the five consistently reported segments. This data is from the Connecticut Department of Labor Quarterly Census of Employment and Wages (QCEW). The program produces a comprehensive tabulation of employment and wage information for workers covered by Connecticut Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program.

The Local Area Unemployment Statistics (LAUS) program produces monthly employment, unemployment, and labor force data for Census regions and divisions, States, counties, metropolitan areas, and many cities, by place of residence. The LAUS program is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). A major source of labor force data estimates, the Current Population Survey (CPS) includes a sample of over 1,600 Connecticut households each month regarding the labor force status of their occupants

Further information from the CT Department of Labor is available here: https://www1.ctdol.state.ct.us/lmi/LAUS/default.asp

Users can download data or view data tables on topics related to the labor force of the United States. Background Current Population Survey is a joint effort between the Bureau of Labor Statistics and the Census Bureau. It provides information and data on the labor force of the United States, such as: employment, unemployment, earnings, hours of work, school enrollment, health, employee benefits and income. The CPS is conducted monthly and has a sample of approximately 50,000 households. It is representative of the non-institutionalized US population. The sample provides estimates for the nation as a whole and serves as part of model-based estimates for individual states and other geographic areas. User Functionality Users can download data sets or view data tables on their topic of interest. Data can be organized by a variety of demographic variables, including: sex, age, race, marital status and educational attainment. Data is available on a national or state level. Data Notes The CPS is conducted monthly and has a sample of approximately 50,000 households. It is representative of the non-institutionalized US population. The sample provides estimates for th e nation as a whole and serves as part of model-based estimates for individual states and other geographic areas.

The Individual file contains detailed demographic and economic data along with selected family and household characteristics for each individual in the sample. A record, when dealing with the Individual File, refers to data on one person.

This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 15 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence on March 1, 2000. This file also contains data covering noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, sex, race, household relationships, and Hispanic origin, is available for each person in the household enumerated.

Microdataset of Social Statistics for Development of Microsimulation Model 2010 was prepared by the Statistical Office of the Republic of Slovenia for the needs of the development of microsimulation model for modeling effects of tax legislation changes, social transfers changes and health legislation changes. The simple random sample includes 120.046 persons. It consists of data which are merged from several data collections, mostly for 2010 (e.g. unemployed, income tax, benefits, students) and some for 2011 (e.g. real estate, Register Census) and 2012 (scholarships). The administrative data used originate from various administrative sources of institutions of the Republic of Slovenia, such us Ministry of the Interior, The Surveying and Mapping Authority, Ministry of Labour, Family and Social affairs, Tax Administration, Pension and Disability Insurance Institute, Employment Service, Healthcare Institute and Health Insurance Institute. In addition to that, statistical register and statistical research data of the Statistical Office were used.
Microdataset of Social Statistics for Development of Microsimulation Model 2010 was prepared by the Statistical Office of the Republic of Slovenia for the needs of the development of microsimulation model for modeling effects of tax legislation changes, social transfers changes and health legislation changes. The simple random sample includes 120.046 persons. It consists of data which are merged from several data collections, mostly for 2010 (e.g. unemployed, income tax, benefits, students) and some for 2011 (e.g. real estate, Register Census) and 2012 (scholarships). The administrative data used originate from various administrative sources of institutions of the Republic of Slovenia, such us Ministry of the Interior, The Surveying and Mapping Authority, Ministry of Labour, Family and Social affairs, Tax Administration, Pension and Disability Insurance Institute, Employment Service, Healthcare Institute and Health Insurance Institute. In addition to that, statistical register and statistical research data of the Statistical Office were used.
Microdataset of Social Statistics for Development of Microsimulation Model 2010 was prepared by the Statistical Office of the Republic of Slovenia for the needs of the development of microsimulation model for modeling effects of tax legislation changes, social transfers changes and health legislation changes. The simple random sample includes 120.046 persons. It consists of data which are merged from several data collections, mostly for 2010 (e.g. unemployed, income tax, benefits, students) and some for 2011 (e.g. real estate, Register Census) and 2012 (scholarships). The administrative data used originate from various administrative sources of institutions of the Republic of Slovenia, such us Ministry of the Interior, The Surveying and Mapping Authority, Ministry of Labour, Family and Social affairs, Tax Administration, Pension and Disability Insurance Institute, Employment Service, Healthcare Institute and Health Insurance Institute. In addition to that, statistical register and statistical research data of the Statistical Office were used.

The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. This reference year for this file is 1986. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk

Main Topics:

The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables.

The Great Britain Historical Database currently contains :

• Statistics from the 1861 Census and the Registrar General's reports, 1851-1861
  
• Employment statistics from the census, 1841-1931
  
• Demographic statistics from the census, 1841-1931
  
• Mortality statistics from the Registrar General's reports, 1861-1920
  
• Marriage statistics from the Registrar General's reports, 1841-1870
  
• Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918
  
• Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912
  
• Official poor law statistics, 1859-1915 and 1919-1939
  
• Wage statistics, 1845-1906
  
• Hours of work statistics, 1900-1913
  
• Small debt statistics from county courts, 1847-1913 and 1938
  

There are seven tables in this part of the Great Britain Historical Database :

Ase_mr holds data for each branch of the Amalgamated Society of Engineers (ASE) taken from the Monthly Reports of the ASE from 1851 to 1912, and includes data about admissions, membership, unemployment benefit, strike pay, sickness benefit and pensions. Quarterly data from 1851 to 1872 and biannual data from 1873 to 1912.

Ase_mr_95_96 holds a fuller version of the biannual data transcribed from the Monthly Reports of the ASE for 1895 and 1896, for which a special compressed format was used.

Ase_admit holds annual admissions data for each branch taken from the Annual Reports of the ASE from 1853 to 1909.

Ase_mem holds annual data about changes in membership for each branch taken from Annual Reports of the ASE for 1871 and 1872.

Ase_fin holds summary annual data about the finances of the whole union taken from Annual Reports of the ASE from 1851 to 1918.

Gaz_ase70 uniquely identifies individual ASE branches in existence between 1861 and 1871 and gives their location in 1871.

Cj_mr holds biannual data for each branch of the Amalgamated Society of Carpenters and Joiners (ASCJ) taken from the Monthly Reports of the ASCJ from 1863 to 1912 (excluding 1870 reports), and includes data about admissions, membership, unemployment benefit, strike pay, sickness benefit and pensions.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. The LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). It contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution.LFS revisions: Labour force surveys are revised on a periodic basis. The most recent revisions took place in 2025. As of January 2025, LFS microdata and estimates have been adjusted to reflect population counts from the 2021 Census, with revisions going back to 2011. Additionally, several changes were made to key variables on the PUMFs: Survey weights (FINALWT) have been updated to use 2021 Census population control totals. Sub-provincial geography (CMA) has been updated to the 2021 Standard Geographical Classification (SGC) boundaries. All industry data (NAICS_21) was revised to use the latest standard, North American Industry Classification System (NAICS) 2022. Coding enhancements were applied to improve longitudinal consistency of detailed National Occupational Classification data (NOC_10 and NOC_43). Data were revised to use the gender of person instead of sex (GENDER).

This table contains 21816 series, with data for years 1997 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (303 items: Canada; Nova Scotia; Prince Edward Island; Newfoundland and Labrador ...), Beneficiary detail (4 items: All types of income benefits; Regular benefits ...), Sex (3 items: Both sexes; Females; Males ...), Age group (6 items: 15 years and over;15 to 24 years ...).