The number of home health agencies in the United States has been decreasing since the peak in 2013 with 12,459 agencies recorded. As of 2021, the number has dropped to 11,353. Home health agencies (HHA) are primarily engaged in providing skilled nursing services and other therapeutic services. The statistic represents the total number of Medicare home health agencies in the United States from 1967 to 2021.

This dataset provides the monthly count of employees at executive branch agencies where human resource responsibilities are handled centrally by the Department of Administrative Services ("in-scope agencies). Employee counts by agency and month are included.

All employees at in-scope agencies are counted, including full-time, part-time, regular, temporary, and per diem employees.

The data are pulled from Core-CT, Connecticut's HR reporting system.

This dataset provides the bi-annual count of employees at executive branch agencies where human resource responsibilities are handled centrally by the Department of Administrative Services ("in-scope agencies). Employee counts by agency type, agency, union, full-time or part-time status, and temporary worker retiree (TWR) status are included.

This dataset provides monthly counts of full-time, part-time and temporary employees for within the Executive Branch of the State of Iowa beginning with December 2010.

In 2023, around 19.58 million people were working for state and local governments in the United States. This is much higher than the number of federal government (civilian) employees, which stood at about 2.87 million people in that year.

Data set of phone numbers for state-of-the-art businesses, municipalities and county authorities. It is intended to be used together with the data set of the units of public administration. This dataset is part of several data sets about public enterprises. The data sets are referred to as the agency base and were previously on Norge.no. They contain an overview of public enterprises, i.e. government agencies and enterprises’ central, regional and local units, county municipalities and municipalities. Data sets are not updated. The data sets contain information about the name of the enterprise, visiting address, postal address, telephone number, e-mail address, web address (URL), map coordinates (position), coverage (which municipalities the business covers), organisation number, overarching activity, type of organisation, type of affiliation (the way in which an enterprise is linked to the executive government) and quality assessments of the website. Look up on the keyword/tag agency base to see the other datasets. The establishment base is closed and is no longer maintained by the Directorate of Digitalisation (formerly Difi). The datasets were last updated in January 2012. Note that this does not mean that all data was updated in January 2012, but that the last changes were made at that time. Reference to the source When using this dataset, we ask that the source be referred to as follows (cf the NLOD license): The service is based on open data sets from the Directorate of Digitalisation and is subject to the Norwegian License for Public Data (NLOD). The data was last updated in 2012 and is no longer maintained by the Directorate of Digitalisation.

This group shows the names of government agencies and the number of violations committed

This group shows the number of clarifications to government agencies of the number of terminators and the number under consideration during 2014-2015

As of January 29, 2024, there were more than ***** thousand advertising agencies worldwide, marking a *** percent increase from the ****** thousand agencies registered in 2023. A decade prior, in 2014, there were approximately *** thousand ad agencies worldwide.

This dataset details vehicle types and ages for transit agencies reporting to the National Transit Database in the 2022, 2023, and 2024 report years. Vehicle types describe the vehicles employed in direct operation or support of transit service.

NTD Data Tables organize and summarize data from the 2022 - 2024 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 - 2024 Revenue Vehicle Inventory and Service Vehicle Inventory database files.

Rural reporters that operate in more than one state report their vehicles in only one of their states.

In years 2015-2021, you can find this data in the "Vehicles" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

This statistic depicts the number of government employees working in agencies without appropriations due to the government shutdown in the United States as of ***************, by state. As of that time, ******* government employees in the District of Columbia were working in agencies without appropriations.

In Chapter 4 I estimate a series of models where the dependent variable is a count of the number of agencies created in the 1946-1995 period. The data set includes a count of the number of agencies created by departmental order, executive order, reorganization plan, and legislation in each year. It also includes a number of independent variables that I used for the models in Chapter 4. Persons interested in examining this data more carefully might also want to look at the data and batch files for “Agencies by Presidential Design”.

This dataset contains the yearly statistics on the number of participating agencies, population covered, number of incidents reported, and agencies submitting incident reports.

This dataset provides the monthly count of employees at executive branch agencies where human resource responsibilities are handled centrally by the Department of Administrative Services ("in-scope agencies). Employee counts by agency and employee type are included.

The data are pulled from Core-CT, Connecticut's HR reporting system.

Statistical annual report.........................

No of Employees: Travel Agencies: SF: Rostov Region data was reported at 841.000 Person in 2017. This records an increase from the previous number of 788.000 Person for 2016. No of Employees: Travel Agencies: SF: Rostov Region data is updated yearly, averaging 814.500 Person from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 841.000 Person in 2017 and a record low of 788.000 Person in 2016. No of Employees: Travel Agencies: SF: Rostov Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Tourism Sector – Table RU.QD010: Number of Travel Agencies Employees excl External Part Time Employees.

Number of Travel Agencies: FE: Kamchatka Territory data was reported at 114.000 Unit in 2023. This records an increase from the previous number of 112.000 Unit for 2022. Number of Travel Agencies: FE: Kamchatka Territory data is updated yearly, averaging 68.500 Unit from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 114.000 Unit in 2023 and a record low of 23.000 Unit in 2009. Number of Travel Agencies: FE: Kamchatka Territory data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Tourism Sector – Table RU.QD009: Number of Travel Agencies by Region.

This filtered view counts published assets by audience, publishing agency and asset type. It is intended to provide a summary of assets published on the state data portal.

No of Employees: Travel Agencies: CF: Tver Region data was reported at 321.000 Person in 2017. This records an increase from the previous number of 302.000 Person for 2016. No of Employees: Travel Agencies: CF: Tver Region data is updated yearly, averaging 311.500 Person from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 321.000 Person in 2017 and a record low of 302.000 Person in 2016. No of Employees: Travel Agencies: CF: Tver Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Tourism Sector – Table RU.QD010: Number of Travel Agencies Employees excl External Part Time Employees.

Bolded values indicate the largest values for the column.Number of tweets and retweets per agency.