Pay Information for calendar year 2015 for the employees of the State of Missouri by their Agency of employment, Position Title or Employee name.

Government Payrolls in the United States increased by 73 thousand in June of 2025. This dataset provides the latest reported value for - United States Government Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations

‘This dataset provides information regarding the total approved actual expenses incurred by Montgomery County government employees traveling non-locally (over 75 miles from the County’s Executive Office Building at 101 Monroe St. Rockville, MD) for official business, beginning on or after August 12, 2015. The dataset includes the name of traveling employee; the employee’s home department; travel start and end dates; destination; purpose of travel; and actual total expenses funded by the County. Update Frequency: Monthly

This dataset details data on hours worked by public transportation employees and the head counts of employees for each applicable agency reporting to the National Transit Database in the 2022 and 2023 report years at the mode and type of service level.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 and 2023 Transit Agency Employees database files.

In years 2015-2021, you can find this data in the "Employees" 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 Annual Report by the Interagency Working Group on U.S. Government-Sponsored International Exchanges and Training (IAWG) presents the data, findings and analysis on FY 2014 data and information submitted by reporting federal departments and independent agencies on their respective international exchange and training activities in response to the IAWG annual data call. This report marks the eighteenth year for which the IAWG has compiled this data as the federal government’s clearinghouse for information on U.S. Government-sponsored international exchanges and training.

The Federal Health IT Strategic Plan 2015-2020 explains how the federal government intends to apply the effective use of information and technology to help the nation achieve high-quality care, lower costs, a healthy population, and engaged individuals. The work described in this Plan aims to modernize the U.S. health IT infrastructure so that individuals, their providers, and communities can use it to help achieve health and wellness goals. The Plan goals, objectives, and strategies outline how this work will be organized and tracked over the term of this Plan. Access the full list of goals, objectives, and strategies below.

This quick facts summarizes the Veteran new hires into the Federal government by disabled and by 30 percent and higher disabled groups for 2008 to 2015. It shows the Veteran new hires by agency for 2015 and Veterans by occupation for 2015.

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Intergovernmental Policy Division (IGP), Municipal Finance Services Unit (MFS). The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut.

Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, IGP Division. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition. The most recent edition is for the Fiscal Years Ended 2011-2015 published in January of 2017 (amending the January 2016 version).

This dataset details data on hours worked by public transportation employees, head counts of employees and wage rates for each applicable agency reporting to the National Transit Database in the 2022 and 2023 report years at the agency level.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 and 2023 Transit Agency Employees database files.

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

Please note: FTA updated this file November 15, 2023 to improve the calculation of Average Wage Rate. Previously, this total included Capital Labor Hours in the denominator. These hours are now omitted from the calculation given that the cost of capital projects do not appear in the numerator.

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

This list contains the government API cases collected, cleaned and analysed in the APIs4DGov study "Web API landscape: relevant general purpose ICT standards, technical specifications and terms".

The list does not represent a complete list of all government cases in Europe, as it is built to support the goals of the study and is limited to the analysis and data gathered from the following sources:

• The EU open data portal

• The European data portal

• The INSPIRE catalogue

• JoinUp: The API cases collected from the European Commission JoinUp platform

• Literature-document review: the API cases gathered from the research activities of the study performed till the end of 2019

• ProgrammableWeb: the ProgrammableWeb API directory

• Smart 2015/0041: the database of 395 cases created by the study ‘The project Towards faster implementation and uptake of open government’ (SMART 2015/0041).

• Workshops/meetings/interviews: a list of API cases collected in the workshops, surveys and interviews organised within the APIs4DGov

Each API case is classified accordingly to the following rationale:

• Unique id: a unique key of each case, obtained by concatenating the following fields: (Country Code) + (Governmental level) + (Name Id) + (Type of API)

• API Country or type of provider: the country in which the API case has been published

• API provider: the specific provider that published and maintain the API case

• Name Id: an acronym of the name of the API case (it can be not unique)

• Short description

• Type of API: (i) API registry, a set, catalogue, registry or directory of APIs; (ii) API platform: a platform that supports the use of APIs; (iii) API tool: a tool used to manage APIs; (iv) API standard: a set of standards related to government APIs; (v) Data catalogue, an API published to access metadata of datasets, normally published by a data catalogue; (vi) Specific API, a unique (can have many endpoints) API built for a specific purpose

• Number of APIs: normally only one, in the case of API registry, the number of APIs published by the registry at the 31/12/2019

• Theme: list of domains related to the API case (controlled vocabulary)

• Governmental level: the geographical scope of the API (city, regional, national or international)

• Country code: the country two letters internal code

• Source: the source (among the ones listed in the previous) from where the API case has been gathered

Analysis of ‘Employee Travel Data (Non-Local)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4a84e72e-1a32-4627-9cf4-2eef62d55114 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

‘This dataset provides information regarding the total approved actual expenses incurred by Montgomery County government employees traveling non-locally (over 75 miles from the County’s Executive Office Building at 101 Monroe St. Rockville, MD) for official business, beginning on or after August 12, 2015. The dataset includes the name of traveling employee; the employee’s home department; travel start and end dates; destination; purpose of travel; and actual total expenses funded by the County. Update Frequency: Monthly

--- Original source retains full ownership of the source dataset ---

The Ohio Public Employment Risk Reduction Program (PERRP) assures state and local government employees have safe and healthful working conditions. This dataset contains PERRP Frequently Cited Standards from Chapter 4167 of the Ohio Revised Code and the Ohio Administrative Code. It includes cited standards for all PERRP enforcement and voluntary compliance assistance visits since 2015. Users can filter the dataset by an adopted regulation, visit type, public employer type/sector, or by visit location county. Please note that state agency visit information appears under Franklin County.

The dataset shows the salaries of monthly and annual salaries for 457 job positions in the Uganda government. It was curated from the May 2017 report on salary disparities in Public Service. The study was done by the government's Equal Opportunities Commission. The report mostly relied on salary data as was in the 2015/16 financial year but we have updated the salaries of the Chief Justice, Deputy Chief Justice, Permanent Secretaries to reflect increaments made in the 2016/17 financial year.

Government units with the highest deficit for 2015

Number of deaths in the Kingdom classified according to their causes

This dataset details federal funding sources for each applicable agency reporting to the NTD in the 2022 and 2023 report years. Federal funding sources are financial assistance obtained from the Federal Government to assist with the costs of providing transit services.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 and 2023 Revenue Sources database files.

In years 2015-2021, you can find this data in the "Funding Sources" 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.

The data provided here details the State of Missouri's Federal Grants Data as of June 30, 2015.

The Enron email dataset contains approximately 500,000 emails generated by employees of the Enron Corporation. It was obtained by the Federal Energy Regulatory Commission during its investigation of Enron's collapse.

This is the May 7, 2015 Version of dataset, as published at https://www.cs.cmu.edu/~./enron/

Detailed compensation data for state employees from FY 2010-2014. Payroll data from 2015 through the present is available in this dataset: State Employee Payroll Data Calendar Year 2015 through Present (https://data.ct.gov/Government/State-Employee-Payroll-Data-Calendar-Year-2015-thr/virr-yb6n)