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

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.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_e24eb88daad6743854009265c61ee0d8/view

Singapore Revenue: Customs and Excise Dept: Total data was reported at 271.700 SGD mn in Oct 2018. This records an increase from the previous number of 246.600 SGD mn for Sep 2018. Singapore Revenue: Customs and Excise Dept: Total data is updated monthly, averaging 166.800 SGD mn from Jun 1994 (Median) to Oct 2018, with 293 observations. The data reached an all-time high of 602.700 SGD mn in Jul 2003 and a record low of -0.600 SGD mn in May 2003. Singapore Revenue: Customs and Excise Dept: Total data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.F003: Government Revenue: Customs and Excise Department.

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: Non-Malaysian Citizens data was reported at 4,152.400 Person th in 2040. This records an increase from the previous number of 3,971.300 Person th for 2035. DOS Projection: Population: Non-Malaysian Citizens data is updated yearly, averaging 3,767.300 Person th from Dec 2020 (Median) to 2040, with 5 observations. The data reached an all-time high of 4,152.400 Person th in 2040 and a record low of 3,297.600 Person th in 2020. DOS Projection: Population: Non-Malaysian Citizens 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.

Statistics of foreign full-time faculty in Taiwanese colleges and universities - categorized by institution, country, gender, and rank.

This report covers military assistance and military exports of defense articles and defense services licensed for permanent export to foreign country governments and to international organizations during FY 2016 pursuant to Section 655 of the Foreign Assistance Act (FAA) of 1961, as amended. The report specifies the aggregate dollar value and quantity of defense articles, defense services, and international military education and training activities by category, licensed to each foreign country and international organization, as well as data on the actual shipments occurring during the fiscal year. Actual shipment data contained herein shows the total dollar value of all shipments to each destination. Authorizations in this report are categorized based on the destination country. In accordance with subsection (c) of Section 655, this report is also being made available to the public on the internet through the Department of State, Directorate of Defense Trade Controls (DDTC), at www.pmddtc.state.gov

The Bureau of Transportation Statistics (BTS), part of the Department of Transportation (DOT) is the preeminent source of statistics on commercial aviation, multimodal freight activity, and transportation economics, and provides context to decision makers and the public for understanding statistics on transportation. BTS assures the credibility of its products and services through rigorous analysis, transparent data quality, and independence from political influence. BTS promotes innovative methods of data collection, analysis, visualization, and dissemination to improve operational efficiency, to examine emerging topics, and to create relevant and timely information products that foster understanding of transportation and its transformational role in society. The Bureau’s National Transportation Library (NTL) is the permanent, publicly accessible home for research publications from throughout the transportation community; the gateway to all DOT data; and the help line for the Congress, researchers, and the public for information about transportation.

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.

Medicaid enrollment by state for all 50 states and DC.

Germany FSO Projection: Population: Berlin data was reported at 3,929.000 Person th in 2060. This records a decrease from the previous number of 3,930.000 Person th for 2059. Germany FSO Projection: Population: Berlin data is updated yearly, averaging 3,875.000 Person th from Dec 2014 (Median) to 2060, with 47 observations. The data reached an all-time high of 3,931.000 Person th in 2057 and a record low of 3,471.000 Person th in 2014. Germany FSO Projection: Population: Berlin data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.G002: Population: Projection: Federal Statistics Office Germany.

India Government Expenditure: Year to Date: Ministry of Statistics and Programme Implementation: Capital data was reported at 174.200 INR mn in Feb 2025. This records an increase from the previous number of 157.700 INR mn for Jan 2025. India Government Expenditure: Year to Date: Ministry of Statistics and Programme Implementation: Capital data is updated monthly, averaging 11.200 INR mn from Apr 2017 (Median) to Feb 2025, with 95 observations. The data reached an all-time high of 193.500 INR mn in Mar 2024 and a record low of 0.000 INR mn in Jul 2022. India Government Expenditure: Year to Date: Ministry of Statistics and Programme Implementation: Capital data remains active status in CEIC and is reported by Controller General of Accounts. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FA005: Central Government: Controller General of Accounts (CGA): Expenditure: by Ministry-wise: Financial Year: Year to Date.

Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.

This dataset is deprecated and will be removed by the end of the calendar year 2024. Updated on 8/18/2024 Data sources: heroin overdose deaths/infant mortality-Vital Statistics Administration; lead-Medicaid; HIV diagnoses-Prevention and Health Promotion Administration; and immunizations-National Immunization Survey.

Malaysia DOS Projection: Population: Female: Johor data was reported at 2,235.900 Person th in 2040. This records an increase from the previous number of 2,163.500 Person th for 2035. Malaysia DOS Projection: Population: Female: Johor data is updated yearly, averaging 2,072.900 Person th from Dec 2020 (Median) to 2040, with 5 observations. The data reached an all-time high of 2,235.900 Person th in 2040 and a record low of 1,843.000 Person th in 2020. Malaysia DOS Projection: Population: Female: Johor 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.

About this dataset

Context

The dataset tabulates the population of Secretary by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Secretary across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.5% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Secretary is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Secretary total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Secretary Population by Race & Ethnicity. You can refer the same here