The Local Area Unemployment Statistics (LAUS) program is a federal-state cooperative effort which produces monthly estimates of produces monthly and annual employment, unemployment, and labor force data for approximately 7,000 areas including Census regions and divisions, States, counties, metropolitan areas, and many cities. For more information and data visit: https://www.bls.gov/lau/

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS. Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

This statistic shows the public trend in trust and confidence in state and local government to handle problems from 1997 to 2024. According to a September 2024 survey, 67 percent of respondents had a great or fair amount of trust in their local government, while only 55 percent trusted their state government.

This data collection contains financial data on state government revenues and expenditures for 16 states during 1933-1937. There are separate files for different levels of aggregation: (1) revenue and expenditure aggregates (1-digit codes), (2) revenues and expenditures classified by major 20th-century categories (2-digit codes), (3) revenues and expenditures classified by minor categories that correspond to special features of 19th- and/or 20th-century governments (3-digit codes), and (4) revenues and expenditures classified by idiosyncratic categories which differ from state to state (4-digit categories). Parts 1 through 4 contain expenditure data. Parts 5 through 8 comprise revenue data. Part 9 contains codes for the categories of expenditures and revenues.

This dataset contains the Local Area Unemployment Statistics (LAUS), annual averages from 1990 to 2024.

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions.

The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

Graph and download economic data for Quits: State and Local (JTU9200QUL) from Dec 2000 to Jul 2025 about quits, state & local, government, and USA.

Graph and download economic data for All Employees: Government: Total State and Local Government in District of Columbia (SMU11000009094000001) from Jan 2001 to Aug 2025 about DC, state & local, government, employment, and USA.

This statistic shows the number of full-time equivalent highways employees of state and local governments in the United States in 2023, by state. In 2023, there were ****** full-time equivalent highways employees in the state of California.

In 2024, the total value of new U.S. state and local construction put in place reached 462.8 billion U.S. dollars. Those figures have been mostly increasing since 2013, when state and local construction amounted to 247 billion U.S. dollars.

Local Government Statistics - General Statistics - Development Cost Charges (DCCs) and Building Permit Information - Municipality - 2008. The Statistics schedules consist of data provided to the ministry by local governments in annual financial reporting forms. While the ministry does perform checks of the data, we do not guarantee its accuracy or validity. Users should contact local governments directly if confirmation is required. Beginning in 2002 the schedules have been amended to reflect Generally Accepted Accounting Procedures (GAAP) for local governments, thus they differ greatly from previous years. Regional District statistics use the current year assessments supplied by BC Assessment in April and revised population estimates certified by the Minister responsible. Data for previous years may be requested electronically.

This statistic presents the results of a survey among U.S. adult beer drinkers. The survey was fielded online in February 2015, asking the respondents about the importance of the factor "local" when they purchase beers. Some 45 percent of the respondents aged 21 years and older indicated to believe that "local" is an important factor when buying beer.

Graph and download economic data for All Employees, Local Government (CES9093000001) from Jan 1955 to Aug 2025 about establishment survey, government, employment, and USA.

News audiences in the United States are more likely to trust local news than national news, a 2024 survey revealed, with ** percent of all respondents saying that they had a lot or some trust in local news, whereas just ** percent said the same about national news. Seven years earlier in 2016, the share of adults who felt that national news were a trustworthy source stood at ** percent, ** percent higher than in the 2024 survey.

Abstract

Dataset quality **: Medium/high quality dataset, not quality checked or modified by the EIDC team

The Local Area Unemployment Statistics (LAUS) program produces monthly and annual employment, unemployment, and labor force data for Census regions and divisions, States, counties, metropolitan areas, and many cities, by place of residence.

Methodology

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This dataset provides unemployment data for San Joaquin County CA from the U.S. Bureau of Labor Statistics' Local Area Unemployment Statistics.

Labor force and unemployment estimates for states and local areas are developed by state workforce agencies to measure local labor market conditions under a federal-state cooperative program. The Department of Labor develops the concepts, definitions, and technical procedures which are used by state agencies for preparation of labor force and unemployment estimates.

These estimates are derived from a variety of sources, including the Current Population Survey, the Current Employment Statistics survey, the Quarterly Census of Employment and Wages, various programs at the Census Bureau, and unemployment insurance claims data from the state workforce agencies.

To establish uniform labor force concepts and definitions in all states and areas consistent with those used for the U.S. as a whole, monthly national estimates of employment and unemployment from the Current Population Survey are used as controls (benchmarks) for the state labor force statistics.