This dataset summarizes the impact of federal policy and funding changes on nonprofits, municipalities, and businesses in Connecticut, as reported in the Connecticut Office of Policy and Management's Federal Impact Reporting Tool: https://www.appsvcs.opm.ct.gov/FedImpact This dataset shows the count of reported incidents grouped by state agency and is based on the main Federal Impact Reporting dataset here: https://data.ct.gov/Government/Federal-Impact-Reporting/cyas-fb55/about_data Impacts reported include funding reductions, pauses and delays in accessing funds, as well as employment reductions, and impacts from tariffs. Duplicate responses to the survey have been removed from this dataset. More information on the Federal Impact Reporting Tool can be found here: https://portal.ct.gov/governor/news/press-releases/2025/04-2025/governor-lamont-launches-reporting-tool-for-entities-impacted-by-recent-federal-actions
An accounting of the number of State of Oklahoma employees by function (excluding higher education) beginning with the 2003 fiscal year.
This guide brings together online resources that contain U.S. government documents. Some are freely available to anyone with Internet access. Others include subscription databases accessible with a DHS device.
This table represents the breakdown of taxes that are received by the federal government. Federal taxes received are represented as deposits in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million.
This dataset summarizes the city’s various revenue sources. The revenue dataset reflects money coming into the city; some examples include real estate tax payments, state aid and parking fine collections. The city’s financial system, where revenue collections are recorded daily, is the source for this data.
This data also contains current budget information based on the revenue budget adopted by City Council ahead of each fiscal year. This budget allows city staff to monitor and track revenue collections during the year. The data set includes the current fiscal year and two previous fiscal years.
*Disclaimer: Revenues will reflect the previous fiscal year’s activity until final entries have been made and the accounting period has been closed.
This data is updated daily on weekdays. For data about this dataset, please click on the below link: https://data.norfolk.gov/Government/Annual-Revenues/id3i-2az4/about_data
DMPED is using economic data to drive positive change and build good government for District of Columbia residents. They are focusing on collecting and compiling information about the city, in particular on D.C.’s economic development priorities that create more pathways to the middle class: jobs, quality affordable housing, and community-focused development.This site is an online version of the Deputy Mayor for Planning and Economic Development’s weekly dashboard. This dashboard is also transmitted to the City Administrator, the Mayor, and other senior staff, so they can be aware of economic trends and context. It includes only data that is public, so certain indicators that DMPED uses are not included.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Domain Independent Review Year 13
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Polygons in this layer represent Census Tracts in the DMV (DC, Maryland, and Virginia). Data are included for each tract which estimate hunger and food insecurity. Data were compiled by the CAFB through internal tracking, and the layer was shared with the DC government as a courtesy. Fields include (all available for 2015 and 2014):15_FI_Rate: The estimated portion of the population in the census tract experiencing food insecurity (by CAFB standards). 15/14 indicates year measured.15_FI_Pop: The estimated number of people in the census tract experiencing food insecurity (by CAFB standards). 15/14 indicates year measured.15_LB_Need: The estimated pounds of food needed by the food insecure population in the census tract. 15/14 indicates year measured.15_Distrib: The number of pounds of food distributed by CAFB and partners in the census tract. 15/14 indicates year in which the distribution took place.15_LB_Unme: The difference between the estimated pounds of food needed and the real pounds of food distributed by CAFB and partners, representing the unmet need for food assistance in the census tract. 15/14 indicates year.The layer was shared with the DC government in May 2016 and is based on 2015 and 2014 data.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
City CELCO Agreement As Amended F1 2022-2026
This shapefile is the official boundary of the California Fish Passage Forum. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the California Fish Passage Forum, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
https://elrc-share.eu/terms/openUnderPSI.htmlhttps://elrc-share.eu/terms/openUnderPSI.html
Bilingual (EN-RO) corpus acquired from websites of Romanian Government Agencies
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
2002-03 to 2022-23 City Financial Transactions Report - Expenditures, for the finance application.
The dataset provides metrics for the number of dataset views in catalog.data.gov broken down by month starting Jan 2014. There is a gap in the dataset for December 2016 due to a temporary halt in collection of metrics during infrastructure migration of the Data.gov site during that month.
VITAL SIGNS INDICATOR Airport Activity (EC17)
FULL MEASURE NAME Enplanements or tonnage at airports
LAST UPDATED August 2019
DESCRIPTION
Airport activity refers to the number of passenger boardings at Bay Area commercial airports and to the quantity of goods – measured in tons – that arrive in the region as air cargo.
DATA SOURCE
Federal Aviation Administration: Passenger Boarding (Enplanement) and All-Cargo Data for U.S. Airports
2001-2017
http://www.faa.gov/airports/planning_capacity/passenger_allcargo_stats/passenger/
Note: Passenger only
CONTACT INFORMATION vitalsigns.info@bayareametro.gov
METHODOLOGY NOTES (across all datasets for this indicator) Depending on airport size, the enplanement (or boarding) data for passengers comes from either the Primary or Commercial Airport data tables produced annually by FAA, as some smaller airports shift between these designations over time.
This dataset provides base salary information about City of Norfolk employees. This data is provided by Norfolk's Department of Human Resources and is updated daily.
To view the most updated version of the dataset, please click here: https://data.norfolk.gov/Government/Employee-Salaries/4fsk-z8s8/about_data
DIR Shared Technology Services (STS) and Texas.gov Customer Invoices
This dataset is in a user-friendly human-readable format. It contains the current crossing inventory - one record for each crossing. To download historical data, go here: https://data.transportation.gov/Railroads/Crossing-Inventory-Data-Historical/vhwz-raag. To download the source dataset that contains raw data values, go here: https://data.transportation.gov/dataset/Crossing-Inventory-Source-Data-Form-71-Current/xp92-5xme.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The California Natural Resources Agency’s Access for All Initiative and 30x30 set a goal of equitable access for all to the state’s natural and open spaces. This dashboard helps illustrate the current challenges and highlights opportunities. The Access Explorer compares populations living near publicly accessible open spaces with those of the community overall.
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
The number of maltreatment types (duplicate count) are counted once for each substantiated maltreatment, but only once per category, by state. Percentages are calculated against the number of victims (unique count).
To view more National Child Abuse and Neglect Data System (NCANDS) findings, click link to summary page below: https://healthdata.gov/stories/s/kaeg-w7jc
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Reconstructed Sea Level dataset contains sea level anomalies derived from satellite altimetry and tide gauges. The satellite altimetric record provides accurate measurements of sea level with near-global coverage, but it has a relatively short time span, since 1993. Tide gauges have measured sea level over the last 200 years, with some records extending back to 1807, but they only provide regional coverage, not global. Combining satellite altimetry with tide gauges, using a technique known as sea level reconstruction, results in a dataset with the record length of the tide gauges and the near-global coverage of satellite altimetry. Cyclostationary empirical orthogonal functions (CSEOFs), derived from satellite altimetry, are combined with historical sea level measurements from tide gauges to create the Reconstructed Sea Level dataset spanning from 1950 through 2009. Combining the altimetric and tide gauge records alleviates the difficulties caused by the short record length and poor spatial distribution of the satellite altimetry and tide gauges, respectively. Previous sea level reconstructions have utilized empirical orthogonal functions (EOFs) as basis functions, but by using CSEOFs and by addressing other aspects of the reconstruction procedure, an alternative sea level reconstruction can be computed. The resulting reconstructed sea level dataset has weekly temporal resolution and half-degree spatial resolution. For specific information on the algorithm and how the CSEOFs are applied to the tide gauge data please see Hamlington et al. 2011.
This dataset summarizes the impact of federal policy and funding changes on nonprofits, municipalities, and businesses in Connecticut, as reported in the Connecticut Office of Policy and Management's Federal Impact Reporting Tool: https://www.appsvcs.opm.ct.gov/FedImpact This dataset shows the count of reported incidents grouped by state agency and is based on the main Federal Impact Reporting dataset here: https://data.ct.gov/Government/Federal-Impact-Reporting/cyas-fb55/about_data Impacts reported include funding reductions, pauses and delays in accessing funds, as well as employment reductions, and impacts from tariffs. Duplicate responses to the survey have been removed from this dataset. More information on the Federal Impact Reporting Tool can be found here: https://portal.ct.gov/governor/news/press-releases/2025/04-2025/governor-lamont-launches-reporting-tool-for-entities-impacted-by-recent-federal-actions