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
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https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_e24eb88daad6743854009265c61ee0d8/view
Link to the Open Data site for the United States Census Bureau.
This release presents immigration statistics from Home Office administrative sources, covering the period up to the end of March 2025. It includes data on the topics of:
User guide to Home Office Immigration statistics
Policy and legislative changes affecting migration to the UK: timeline
Developments in migration statistics
Publishing detailed datasets in Immigration statistics
Migration analysis at the Home Office collection page
A range of key input and impact indicators are currently published by the Home Office on the Migration transparency data webpage.
If you have feedback or questions, our email address is MigrationStatsEnquiries@homeoffice.gov.uk.
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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.
This release contains the latest statistics on school and pupil numbers and their characteristics, including:
Schools and Pupils Statistics Team
Email: schools.statistics@education.gov.uk
The report presents key statistics on activity in the criminal justice system for England and Wales. It provides information up to the year ending September 2020 with accompanying commentary, analysis and presentation of longer-term trends.
The COVID-19 pandemic continues to cause MoJ to review our data gathering, access and release practices, focusing efforts on priority analysis and statistics. Our statement explains this further and in particular, we have limited access to the Police National Computer, to minimise non-essential travel by our analysts. In line with guidance from the Office for Statistics Regulation, the decision has been made to delay the following publications:
The figures published today highlight the impact on criminal court prosecutions and convictions of the COVID-19 pandemic. Latest short-term trends are mostly reflective of the impact of the pandemic on court processes and prioritisation rather than a continuation of the longer-term series.
The monthly data shows that following the sharp falls in prosecutions and convictions immediately following the March 2020 ‘lockdown’, these have recovered by September 2020, although not quite to pre-pandemic levels.
Custody rates and average sentence lengths have both increased overall. For custody rates, this is likely to partially reflect the prioritisation in courts of more serious offences since April 2020 – meaning a greater concentration of court time for offences more likely to get a prison sentence. The increase in average sentence lengths continues the trend of the last 10 years, and it is less clear from the monthly data what impact, if any, the pandemic may have had.
The bulletin is produced and handled by the ministry’s analytical professionals and production staff. Pre-release access of up to 24 hours is granted to the following persons:
Lord Chancellor and Secretary of State for Justice; Minister of State for Prisons and Probation; 2 Parliamentary Under Secretary of States; Permanent Secretary; Principal Private Secretary; Deputy Principal Private Secretary; Deputy Private Secretary; 5 Private Secretaries; Special Advisor; Head of News; Chief Press Officer; 4 Press Officers; Director, Family and Criminal Justice Policy; Chief Statistician; Director of Data and Analytical Services; Director General for Policy and Strategy Group; Chief Financial Officer & Director General for the Chief Financial Officer Group; Deputy Director, Bail, Sentencing and Release Policy; 2 Section Heads, Criminal Court Policy; Director, Offender and Youth Justice Policy; Statistician, Youth Justice Board; Data Analyst, Youth Justice Board; Deputy Director, Crime; Crime Service Manager (Case Progression) - Courts and Tribunals Development; Deputy Director, Legal Operations - Courts & Tribunals Development Directorate; Head of Criminal Law policy; Policy Manager – Youth Courts and Sentencing; 7 Policy Advisors; Head of Custodial Sentencing; Head of Criminal Courts Statistics.
Home Secretary; Private Secretary to the Home Secretary; Permanent Secretary, Home Office; Assistant Private Secretary to the Home Office Permanent Secretary; Minister of State for Policing and the Fire Service; Assistant Private Secretary Minister of State for Policing and the Fire Service; Director of Crime, Home Office; Head of Crime and Policing Statistics, Home Office; Head of Recorded Crime Statistics.
Lord Chief Justice; Private Secretary to the Lord Chief Justice; Private Secretary to the President of the Queen’s Bench; Lead for Criminal Justice for the Senior Judiciary.
Principal Analyst (Justice), Cabinet Office
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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.
Medicaid enrollment by state for all 50 states and DC.
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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
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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.
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
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.
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.
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.
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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.
This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)
Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics
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.
Quarterly sub-regional statistics show the number of installations and total installed capacity by technology type in England, Scotland and Wales at the end the latest quarter that have been confirmed on the Central Feed-in Tariff Register.
Following the closure of the Feed-in-Tariff scheme in March 2019, the release published in January 2020 will be the final release of this publication.
For general enquiries concerning the table and maps email fitstatistics@energysecurity.gov.uk
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">944 KB</span></p>
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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.
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Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.
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.