Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey 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). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

2018-2023 Statistics on the work of the Legal Department

The Statistics and Registration Service Act 2007 required the UK Statistics Authority to publish a Code of Practice for statistics. Only those statistics assessed as compliant with the code will be designated as National Statistics.

The Cabinet Office has made arrangements to implement the code when publishing statistics, as set out in our standards and policies.

1. The number of full-time faculty in various departments of colleges and universities.2. The data is the same as that on the "Teaching 1-1. Number of Full-time Faculty - Statistics by Department (Institute)" and "Teaching 1-2. Number of Full-time Faculty - Statistics by School" of the college and university affairs information open platform.

Context

This is a dataset that I built by scraping the United States Department of Labor's Bureau of Labor Statistics. I was looking for county-level unemployment data and realized that there was a data source for this, but the data set itself hadn't existed yet, so I decided to write a scraper and build it out myself.

Content

This data represents the Local Area Unemployment Statistics from 1990-2016, broken down by state and month. The data itself is pulled from this mapping site:

https://data.bls.gov/map/MapToolServlet?survey=la&map=county&seasonal=u

Further, the ever-evolving and ever-improving codebase that pulled this data is available here:

https://github.com/jayrav13/bls_local_area_unemployment

Acknowledgements

Of course, a huge shoutout to bls.gov and their open and transparent data. I've certainly been inspired to dive into US-related data recently and having this data open further enables my curiosities.

Inspiration

I was excited about building this data set out because I was pretty sure something similar didn't exist - curious to see what folks can do with it once they run with it! A curious question I had was surrounding Unemployment vs 2016 Presidential Election outcome down to the county level. A comparison can probably lead to interesting questions and discoveries such as trends in local elections that led to their most recent election outcome, etc.

Next Steps

Version 1 of this is as a massive JSON blob, normalized by year / month / state. I intend to transform this into a CSV in the future as well.

DOS Projection: Population: Male: 30 to 34 Years data was reported at 1,360.900 Person th in 2040. This records a decrease from the previous number of 1,430.600 Person th for 2035. DOS Projection: Population: Male: 30 to 34 Years data is updated yearly, averaging 1,430.600 Person th from Dec 2020 (Median) to 2040, with 5 observations. The data reached an all-time high of 1,613.500 Person th in 2020 and a record low of 1,360.900 Person th in 2040. DOS Projection: Population: Male: 30 to 34 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G002: Population: Projection: Department of Statistics.

A number of education data sets are available for use by policymakers, educators, the public, program directors and researchers through the Virginia Longitudinal Data System. For a complete list of all the table descriptions and data elements, refer to the data dictionary https://www.doe.virginia.gov/about-vdoe/search?q=data%20dictionary

These datasets are intended to be used in applications that have filtering and query building capabilities such as spreadsheet applications ( MS Excel or Numbers), analytical applications (SPSS or SAS), or development-type applications. The datasets are compiled using all the possible combinations of all the demographics about students so each row within the dataset contains a rate or count in addition to the demographics used to arrive at the rate or count.

Provide factory calibration and operation technology purchase amount - data divided by industry, the main fields include technology purchase amount (large, medium industry)

Current Employment Statistics - Mar 2018

DANE Projection: Population: Male data was reported at 25,138.964 Person th in 2020. This records an increase from the previous number of 24,873.329 Person th for 2019. DANE Projection: Population: Male data is updated yearly, averaging 24,873.329 Person th from Dec 2018 (Median) to 2020, with 3 observations. The data reached an all-time high of 25,138.964 Person th in 2020 and a record low of 24,605.796 Person th in 2018. DANE Projection: Population: Male data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.G002: Population: Projection: National Statistics Administrative Department.

Transportation Public Finance Statistics (TPFS) provides information on transportation-related revenue and expenditures for all levels of government, including federal, state, and local, and for all modes of transportation.Copied from webpage.

The CMS Center for Strategic Planning produces an annual CMS Statistics reference booklet that provides a quick reference for summary information about health expenditures and the Medicare and Medicaid health insurance programs. The CMS Statistics reference booklet is published in June of each calendar year and represents the most currently available information at the time of publication. CMS Statistics reference booklets are available for 2003 through the most currently available complete calendar year.

DOS Projection: Population: Female: NegeriSembilan data was reported at 618.400 Person th in 2040. This records an increase from the previous number of 610.200 Person th for 2035. DOS Projection: Population: Female: NegeriSembilan data is updated yearly, averaging 597.300 Person th from Dec 2020 (Median) to 2040, with 5 observations. The data reached an all-time high of 618.400 Person th in 2040 and a record low of 556.800 Person th in 2020. DOS Projection: Population: Female: NegeriSembilan data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G002: Population: Projection: Department of Statistics.

United States Employment: NF: RT: GM: Department Stores data was reported at 994.400 Person th in Apr 2025. This records an increase from the previous number of 993.800 Person th for Mar 2025. United States Employment: NF: RT: GM: Department Stores data is updated monthly, averaging 1,477.200 Person th from Jan 1990 (Median) to Apr 2025, with 424 observations. The data reached an all-time high of 1,954.700 Person th in Dec 2000 and a record low of 729.500 Person th in Apr 2020. United States Employment: NF: RT: GM: Department Stores data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G056: Current Employment Statistics: Employment: Non Farm Payroll.

1. In order to understand and grasp the development of science and technology in our country, and to establish scientific and technological indicators for objective comparison with other countries as a reference for national science and technology development policies, the National Science and Technology Commission conducts the "National R&D Status Survey" regularly every year. This dataset is one of the statistical results of the "National R&D Status Survey." 2. "..." denotes no value. 3. "0" denotes less than one unit.

Malaysia DOS Projection: Population: Female: 40 to 44 Years data was reported at 1,319.700 Person th in 2040. This records a decrease from the previous number of 1,392.600 Person th for 2035. Malaysia DOS Projection: Population: Female: 40 to 44 Years data is updated yearly, averaging 1,355.300 Person th from Dec 2020 (Median) to 2040, with 5 observations. The data reached an all-time high of 1,457.200 Person th in 2030 and a record low of 1,043.400 Person th in 2020. Malaysia DOS Projection: Population: Female: 40 to 44 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G002: Population: Projection: Department of Statistics.

United States Department of Transportation Public Data Listing. The file is formatted to comply with project open data common core metadata requirements (http://project-open-data.github.io/schema/) and conforms to schema version 1.1

Medicaid enrollment by state for all 50 states and DC.

Graph and download economic data for All Employees: Retail Trade: Department Stores (DISCONTINUED) (CES4245210001) from Jan 1990 to Dec 2017 about establishment survey, retail trade, sales, retail, employment, and USA.