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SEC
BusinessDaily

SEC Company Facts

Standardized company facts derived from XBRL filings for public companies.

SECEDGARcompanyfilings
JSONSecurities and Exchange CommissionOpen dataset →
DHS
Other

FIMA NFIP Redacted Claims (OpenFEMA)

Congress passed the National Flood Insurance Act (NFIA), 42 U.S.C. 4001 in 1968, creating the National Flood Insurance Program (NFIP) in order to reduce future flood losses through flood hazard identification, manage floodplain, and provide insurance protection. The Department of Housing and Urban Development (HUD) originally administered the NFIP, and Congress subsequently transferred the NFIP to FEMA upon its creation in 1979. FEMA and insurance companies participating in FEMA's Write Your Own (WYO) program offer NFIP insurance coverage for building structures as well as for contents and personal property within the building structures, to eligible and insurable properties. The WYO program began in 1983 with NFIP operating under Part B of the NFIA and allows FEMA to authorize private insurance companies to issue the Standard Flood Insurance Policy (SFIP) as FEMA's fiduciary and fiscal agent. FEMA administers NFIP by ensuring insurance applications are processed properly; determining correct premiums; renewing, reforming, and cancelling insurance policies; transferring policies from the seller of the property to the purchaser of the property in certain circumstances; and processing insurance claims. rnrnThe paid premiums of SFIPs and claims payments for damaged property are processed through the National Flood Insurance Fund (NFIF). NFIF was established by the National Flood Insurance Act of 1968 (42 U.S.C. 4001, et seq.), and is a centralized premium revenue and fee-generated fund that supports NFIP, which holds these U.S. Treasury funds. rnrnThis dataset is derived from the NFIP system of record, staged in the NFIP reporting platform and redacted to protect policy holder personally identifiable information.rnrnThe NFIP Transactional Record Reporting Process (TRRP) Plan (https://nfipservices.floodsmart.gov/manuals/jan_2015_consolidated_trrp.pdf ) defines for the WYO companies how to report policy and claims information to the NFIP. The Flood Insurance Manual (https://nfipservices.floodsmart.gov/home/manuals ) establishes how claims should be adjusted. The NFIP has provided answers to Frequently Asked Questions (FAQs) to assist the public in understanding and navigating the data our program makes available: https://www.fema.gov/sites/default/files/documents/fema_nfip-data-faqs.pdfrnrnThis dataset represents more than 2,000,000 claims transactions, in order to improve accessibility, we have one compressed file. Due to the file size we recommend using Access, SQL, or another programming/data management tool to visualize and manipulate the data, as Excel will not be able to process files this large without data loss. The dataset will be updated approximately monthly and will have a lag with the system of record. rn rnThis dataset is not intended to be an official federal report and should not be considered an official federal report. rn rnCitation: The Agency's preferred citation for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page, Citing Data section: https://www.fema.gov/about/openfema/terms-conditions.rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

Assets
Department of Homeland SecurityOpen dataset →
DE
Other

2015-16 Harassment or Bullying by Basis Category Civil Rights Data Collection

The 2015-16 tables are based on data collected from all of the nation’s school districts and schools—approximately 17,300 school districts and 96,300 schools. This set of Excel files contains data on students reported as harassed or bullied or disciplined for harassment or bullying on the basis of sex, race, or disability category for all states. Each file contains three spreadsheets: total students, male students, and female students. The Excel file contains data on allegations of harassment or bullying by type of allegations for all states.

Elementary-and-secondaryLanguagecivil-rightsminority
XLSXDepartment of EducationOpen dataset →
USEP
Other

Supply Chain Greenhouse Gas Emission Factors v1.3 by NAICS-6

The datasets comprise greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data for 2022. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors provides kg carbon dioxide equivalents (CO2e) per 2022 U.S. dollar (USD) for all GHGs combined using 100-yr global warming potentials from IPCC 5th report (AR5) to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors provides kg of each unique GHG emitted per 2022 dollar per commodity without the CO2e calculation. The dollar in the denominator of all factors uses purchaser prices. See the supporting file 'Aboutv1.3SupplyChainGHGEmissionFactors.docx' for complete documentation of this dataset.

GHG reportingUSEEIOclimate changeindustry ghgs
text/csvU.S. Environmental Protection AgencyOpen dataset →
DE
Other

2017-18 Arrests Civil Rights Data Collection

This set of Excel file contains data on student referrals to law enforcement by disability and student-related arrests by disability for all states. It also contains data on incidents of offenses by type of offense for all states.

Elementary-and-secondaryLanguagearrestschildren with disabilities
XLSXDepartment of EducationOpen dataset →
SW
Transportation

Electric Vehicle Population Data

This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

bevbevsboltcar
application/json, application/xml, text/csv, application/vnd.google-earth.kml+xml, application/vnd.gState of WashingtonOpen dataset →
NASA
Space Scienceirregular

JPL Small Body Database Browser

The JPL Small-Body Database Browser provides data for all known asteroids and many comets. Newly discovered objects and their orbits are added on a daily basis. Discovery circumstances are updated on a roughly monthly interval. Physical parameters, other than magnitude parameters, are updated on a less frequent basis.

asteroidcometdiscoveryjpl
application/htmlNational Aeronautics and Space AdministrationOpen dataset →
DE
Other

Civil Rights Data Collection (CRDC) for the 2017-18 school year

The Civil Rights Data Collection, 2017-18 (CRDC 2017-18) is part of the Civil Rights Data Collection (CRDC) program; program data are available beginning with the 2000 collection at https://civilrightsdata.ed.gov/data. CRDC 2017-18 is a cross-sectional survey that collects data on key education and civil rights issues in the nation's public schools, which include student enrollment and educational programs and services, disaggregated by race/ethnicity, sex, limited English proficiency, and disability. LEAs submit administrative records about schools in the district. CRDC 2017-18 is a universe survey. Key statistics produced from CRDC 2017-18 can provide information about critical civil rights issues as well as contextual information on the state of civil rights in the nation, including enrollment demographics, advanced placement, school discipline, and special education services.

Elementary-and-secondaryLanguagecivil-rightsdiscrimination
ZIPDepartment of EducationOpen dataset →
SEC
Data-OtherR/P3M

Form N-PORT Data Sets

Form N-PORT is to be used by a registered management investment company, or an exchange-traded fund organized as a unit investment trust, or series thereof (“Fund”), other than a Fund that is regulated as a money market fund (“money market fund”) under rule 2a-7 under the Investment Company Act of 1940 [15 U.S.C. 80a] (“Act”) (17 CFR 270.2a-7) or a small business investment company (“SBIC”) registered on Form N-5 (17 CFR 239.24 and 274.5), to file reports of monthly portfolio holdings pursuant to rule 30b1-9 under the Act (17 CFR 270.30b1-9).

DERA What's newData SetsForm N-PORT
application/zipSecurities and Exchange CommissionOpen dataset →
CLA
Public Safety

Crime Data from 2020 to 2024

******Notice: Transition to NIBRS-Compliant Crime Data Reporting The Los Angeles Police Department (LAPD) has completed its transition from the legacy Records Management System, which reported crime and arrest data under Uniform Crime Reporting (UCR) standards, to a modernized system fully aligned with the National Incident-Based Reporting System (NIBRS). As part of this transition, the legacy system is no longer active, and no new information will be entered. Consequently, the Crime Data from 2020 to Present dataset will no longer be updated. It will remain available on the portal for historical reference only. To provide the public with current and comprehensive information, LAPD now publishes datasets sourced directly from the new Records Management System in accordance with NIBRS standards. These datasets were introduced in October 2024 and are refreshed on a bi-weekly schedule: • [LAPD NIBRS Offenses Dataset | Los Angeles Open Data Portal] • [LAPD NIBRS Victims Dataset | Los Angeles Open Data Portal] The adoption of NIBRS ensures LAPD crime and arrest data meet national standards, enhancing transparency, accuracy, and accessibility for the public. ****** On March 7th, 2024, the Los Angeles Police Department (LAPD) adopted a new Records Management System for reporting crimes and arrests. This new system is implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

crimecrime datacrimeslapd
application/json, application/xml, text/csvCity of Los AngelesOpen dataset →
DE
Other

2013-14 Mathematics and Science Civil Rights Data Collection

The 2013-14 tables are based on data collected from all of the nation’s school districts and schools—approximately 16,500 school districts and 96,500 schools. This Excel file contains data for schools offering classes in mathematics and science, and student enrollment for all states. The file contains one spreadsheet for total schools. For all mathematics and science courses, there are three spreadsheets: total students, male students, and female students.

Elementary-and-secondaryLanguagecivil-rightsminority
XLSXDepartment of EducationOpen dataset →
SW
Consumer Protection

Business Lookup

The Business Lookup provides public information related to all current active accounts and five years of closed accounts for business licenses, excise tax accounts, and reseller permits issued by the Washington State Department of Revenue (DOR). It allows for search by business name, trade name, owners and officers, reseller permit number, unified business identifier (UBI), license number, street address, city, state, county, and endorsements issued through DOR's Business Licensing Service.

business licensesbusiness namesbusiness officersbusiness owners
text/htmlState of WashingtonOpen dataset →
DE
Other

Civil Rights Data Collection (CRDC) for the 2015-16 school year

The Civil Rights Data Collection, 2015-16 (CRDC 2015-16) is part of the Civil Rights Data Collection (CRDC) program; program data are available beginning with the 2000 collection at https://civilrightsdata.ed.gov/data. CRDC 2015-16 is a cross-sectional survey that collects data on key education and civil rights issues in the nation's public schools, which include student enrollment and educational programs and services, disaggregated by race/ethnicity, sex, limited English proficiency, and disability. LEAs submit administrative records about schools in the district. CRDC 2015-16 is a universe survey. Key statistics produced from CRDC 2015-16 can provide information about critical civil rights issues as well as contextual information on the state of civil rights in the nation, including enrollment demographics, advanced placement, school discipline, and special education services.

Elementary-and-secondaryLanguagecivil-rightsminority
ZIPDepartment of EducationOpen dataset →
DE
Other

2017-18 Harassment or Bullying Civil Rights Data Collection

This set of Excel files contains data on students reported as harassed or bullied or disciplined for harassment or bullying on the basis of sex, race, or disability category for all states. Each file contains three spreadsheets: total students, male students, and female students.

Elementary-and-secondaryLanguagebullyingcivil-rights
XLSXDepartment of EducationOpen dataset →
DE
Other

Civil Rights Data Collection (CRDC)

Since 1968, OCR has collected civil rights data related to students' access and barriers to educational opportunity from early childhood through grade 12. These data are collected from all public schools and districts, as well as long-term secure juvenile justice facilities, charter schools, alternative schools, and special education schools that focus primarily on serving the educational needs of students with disabilities under IDEA or section 504 of the Rehabilitation Act. The CRDC collects information about student enrollment; access to courses, programs and school staff; and school climate factors, such as bullying, harassment and student discipline. Most data collected by the CRDC are disaggregated by race, ethnicity, sex, disability, and English Learners. Originally known as the Elementary and Secondary School Civil Rights Survey, OCR began by collecting data every year from 1968 to 1974 from a sample of school districts and their schools. Over time, the schedule and approach to data collection has changed. Since the 2011-12 collection, the CRDC has been administered every two years to all public school districts and schools in the 50 states and Washington, D.C., and OCR added the Commonwealth of Puerto Rico for the 2017-18 CRDC. Due to the COVID-19 pandemic that resulted in school closures nationwide, OCR postponed the 2019-20 CRDC and instead collected data from the 2020-21 school year.

advanced-placementcivil-rightscourse-takingdata
Department of EducationOpen dataset →
MCM
Community/Recreation

Warehouse and Retail Sales

This dataset contains a list of sales and movement data by item and department appended monthly. Update Frequency : Monthly

alcoholliquorsale
application/json, application/xml, text/csvMontgomery County of MarylandOpen dataset →
DI
Data Package

NPS Visitor Use Statistics Data Package, 2024

The NPS Social Science Program is responsible for coordinating visitor use statistics reporting for units administered by the NPS. ‘Visitor Use Statistics’ refers to a formal set of statistics collected by the National Park Service that address how many people visit parks and how long they stay. Program staff work with parks to develop appropriate data collection procedures and provide quality control for visitor use data. Such coordination ensures that visitor use data are consistent and reliable throughout all units of the National Park System. This data package contains data collected from 1979-2024. Detailed instructions for the units that collect data, monthly visitation summaries, and reports displaying trends in park visitation are available on the NPS Visitor Use Statistics website (https://irma.nps.gov/Stats/).

NPS.gov Subject Site: Social SciencePublic Use StatisticsStatisticsVisitation
xml, csvDepartment of the InteriorOpen dataset →
DE
Other

2017-18 Student Enrollment Civil Rights Data Collection

This set of Excel files contains data for all states on overall enrollment, enrollment of students served under IDEA, enrollment of students served under Section 504, and enrollment of students who are English language learners. For each category, there are three spreadsheets: total students, male students, and female students.

Elementary-and-secondaryLanguagecivil-rightsminority
XLSXDepartment of EducationOpen dataset →
GSA
geospatialR/P1W

Inventory of Owned and Leased Properties (IOLP)

The Inventory of Owned and Leased Properties (IOLP) allows users to search properties owned and leased by the General Services Administration (GSA) across the United States, Puerto Rico, Guam and American Samoa. The Owned and Leased Data Sets include the following data except where noted below for Leases: - Location Code - GSA’s alphanumeric identifier for the building - Real Property Asset Name - Allows users to find information about a specific building - Installation Name - Allows users to identify whether a property is part of an installation, such as a campus - Owned or Leased - Indicates the building is federally owned (F) or leased (L) - GSA Region - GSA assigned region for building location - Street Address/City/State/Zip Code - Building address - Longitude and Latitude - Map coordinates of the building (only through .csv export) - Rentable Square Feet - Total rentable square feet in building - Available Square Feet - Vacant space in building - Construction Date (Owned Only) - Year built - Congressional District - Congressional District building is located - Senator/Representative/URL - Senator/Representative of the Congressional District and their URL - Building Status (Owned Only) - Indicates building is active - Lease Number (Leased Only) - GSA’s alphanumeric identifier for the lease - Lease Effective/Expiration Dates (Leased Only) - Date lease starts/expires - Real Property Asset Type - Identifies a property as land, building, or structure

BUILDING_STATUSCityLEASE_EFFECTIVE_DATELEASE_EXPIRATION_DATE
text/plain, application/vnd.openxmlformats-officedocument.spreadsheetml.sheetGeneral Services AdministrationOpen dataset →
DE
Other

2015-16 Student Retention Civil Rights Data Collection

The 2015-16 tables are based on data collected from all of the nation’s school districts and schools—approximately 17,300 school districts and 96,300 schools. This set of Excel files contains student retention data for all states, presented by grade. For each grade, there are three spreadsheets: total students, male students, and female students.

Elementary-and-secondaryLanguagecivil-rightsminority
XLSXDepartment of EducationOpen dataset →
DC
OtherR/P1Y

Metropolitan Export Series

This tool provides data on exports of goods from major U.S. metropolitan areas, as defined by the Bureau of the Census. These data are based on an Origin of Movement (OM) Zip-code-based series, and are therefore not comparable with an OM state-based series, like that available from TradeStats Express.

NAICScitiesexportsmetropolitan area
Department of CommerceOpen dataset →
USDH
Chronic Disease Indicators

U.S. Chronic Disease Indicators

CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors. These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.

alcoholarthritisasthmacancer
text/csv, application/vnd.google-earth.kml+xml, application/vnd.google-earth.kmz, application/geo+jsU.S. Department of Health & Human ServicesOpen dataset →
SEC
Data-OtherR/P3M

Form N-MFP Data Sets

Form N-MFP is used for monthly reports of money market funds to report information about the fund and its portfolio holdings for the preceding month. Form N-MFP is filed with the Commission by the fifth business day of the month. The Form N-MFP data sets are extracted from Electronic Data Gathering, Analysis, and Retrieval (EDGAR) eXtensible Markup Language (XML) submissions in a flat file format to assist users in constructing the data for analysis. The data has been automatically and directly taken from submissions created by the registrants and provided as-filed.

Data SetsForm N-MFPSEC Markets and Data
application/zipSecurities and Exchange CommissionOpen dataset →
USIT
tariff codesR/P6M

Harmonized Tariff Schedule of the United States (2026)

This dataset is the current 2026 Harmonized Tariff Schedule plus all revisions for the current year. It provides the applicable tariff rates and statistical categories for all merchandise imported into the United States; it is based on the international Harmonized System, the global system of nomenclature that is used to describe most world trade in goods.

HTSproduct classificationtariff schedule
CSV, XLSX, JSONUS International Trade CommissionOpen dataset →
EIBU
Other

Authorizations From 10/01/2006 Thru 03/31/2026

This file contains all authorizations approved between 10/01/2006 and the latest reporting period. Please note that the asterisked Working Capital transactions were extended during the period of EXIM Bank’s lapse in authority in conformance with original authorization agreements. These deals were originally authorized before the lapse as multiyear facilities with annual extensions. This record represents the extension of the prior authorization. EXIM did not authorize new business during its lapse in authority.

eximexport import bankguaranteeinsurance
application/pdf, text/csvExport-Import Bank of the USOpen dataset →
USIT
tariff codesR/P6M

Harmonized Tariff Schedule of the United States (2024)

This dataset is the current 2024 Harmonized Tariff Schedule plus all revisions for the current year. It provides the applicable tariff rates and statistical categories for all merchandise imported into the United States; it is based on the international Harmonized System, the global system of nomenclature that is used to describe most world trade in goods.

HTSproduct classificationtariff schedule
API, CSV, XLSX, JSONUS International Trade CommissionOpen dataset →
DVA
OtherR/P1Y

FY 2024 Disability Compensation Recipients by County

This report provides county-level estimates of the number of Veterans receiving VA Disability Compensation benefits at the close of fiscal year 2024. It includes the Veterans’ total service-connected disability (SCD) rating, age group, and sex. Blank values represent small cell counts that have been suppressed to protect the identity of Veterans as well as some cell counts that have been suppressed in order to prevent the determination of the values of the aforementioned small cell counts. Some categories may not sum to the total due to missing information (e.g., age, sex, etc.). The availability of sex and age data is limited as some records have no sex or birthdate available. In the table, there are 709 Veterans whose sex is not available and 25 Veterans whose age is not available. The number of Veterans who were disability compensation recipients during FY 2024 but were no longer disability compensation recipients at the end of FY 2024 is 142,756. These Veterans are not included in the table. Source: Department of Veterans Affairs, Office of Enterprise Integration, USVETS24 data and Veterans Benefits Administration VETSNET FY 2024 compensation data. Prepared by National Center for Veterans Analysis & Statistics, www.va.gov/vetdata.

20242024 comp2024 compensation2024 disability comp
application/json, application/xml, text/csvDepartment of Veterans AffairsOpen dataset →
CA
Other

Texas Commission on Environmental Quality - Notices Of Violation (NOV)

Approved regional investigations resulting in a Notice of Violation (NOV) and the details associated with each violation that are documented in the Consolidated Compliance and Enforcement Data System (CCEDS). All NOVs displayed were sent as physical letters to the Regulated Entities' business contacts. An NOV may contain multiple violation citations (Category A, B, and C) due to identified noncompliance with different regulatory requirements. Note other databases are utilized within the agency and may contain information on additional violations.

investigationsoceoffice of compliance and enforcementprogram support & environmental assistance division
application/json, application/xml, text/csv, application/vnd.google-earth.kml+xml, application/vnd.gCity of AustinOpen dataset →
USDH
Nutrition

Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System

This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.

adultsbrfssdnpaofruit
text/csv, application/vnd.google-earth.kml+xml, application/vnd.google-earth.kmz, application/geo+jsU.S. Department of Health & Human ServicesOpen dataset →
USEP
Other

USEEIO v2.5 Models

This dataset consists of various USEEIO v2.5 models. All models are built using the coupled model approach described in the EPA 2024 report "Estimating embodied environmental flows in international imports for the U.S. Environmentally-Extended Input-Output (USEEIO) Model" and using the v1.7.0 release of useeior. Models are named using an alias that corresponds with a unique set of model attributes, and the final two digits represent the last two digits of the year intended to be represented. Model alias attributes are defined at https://github.com/USEPA/USEEIO/blob/master/models.md#aliases. Catbird and oriole are detailed and summary-level models, respectively, coupled with CEDA 2024 for representing GHGs in imports. Kinglet and kingbird are detailed and summary-level models, respectively, coupled with EXIOBASE v3.8.2 for representing GHGs in imports. Waxwing and yellowthroat are detailed and summary-level models, respectively, coupled with the GLORIA v59a model for representing GHGs and material flows in imports. The summary level models are available for 2017-2022 for EXIOBASE- and GLORIA-coupled models and 2022 for the CEDA-coupled model. The detailed CEDA, EXIOBASE and GLORIA coupled models are only available for 2022 (note underlying U.S. IO data represents 2017 for detailed models). "v2.5-kingbird-" models replace "v2.3-s-GHG-" models, published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model". "v2.5-oriole-22" replaces "v2.4-oriole-22" , published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model". The model objects are in unique tabs/worksheets of each file and defined in https://github.com/USEPA/useeior/blob/v1.7.0/format_specs/Model.md. Links to the model specification files are provided below. More information can be found on these models in two additions to the original EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470. The "Corrigendum: Updated Results for Consumption-based GHG Emissions" describes updates related to the EXIOBASE and CEDA coupled models. Addendum 2 describes the GLORIA coupled models. Please cite this dataset as "Young, Ben, and Wesley Ingwersen. 2025. USEEIO v2.5 Models. Data.gov. https://doi.org/10.23719/1532178.". This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

EEIOGHGsUSEEIO
application/zipU.S. Environmental Protection AgencyOpen dataset →
CNY
Public Safety

Motor Vehicle Collisions - Crashes

<b>NOTE:</b> This dataset is temporarily not updating while its automated update process is being fixed. This fix is expected to be completed during the month of August. The Motor Vehicle Collisions crash table contains details on the crash event. Each row represents a crash event. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.For the most accurate, up to date statistics on traffic fatalities, please refer to the <a href="https://www1.nyc.gov/site/nypd/stats/traffic-data/traffic-data-collision.page" style="color:#187bcd;">NYPD Motor Vehicle Collisions page</a> (updated weekly) or <a href="http://www.nycvzv.info/" style="color:#187bcd;">Vision Zero View</a> (updated monthly). </p> Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.

big appsbigappscollisionsnycopendata
application/json, application/xml, text/csv, application/vnd.google-earth.kml+xml, application/vnd.gCity of New YorkOpen dataset →
DA
Other

Fruit and Vegetable Prices

How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.

agricultural economicsfood costs
application/vnd.ms-excelDepartment of AgricultureOpen dataset →
USEP
Other

Supply Chain Greenhouse Gas Emission Factors v1.2 by NAICS-6

The datasets are comprised of greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data representing 2019. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_CO2e_USD2021.csv) provides kg carbon dioxide equivalents (CO2e) per USD for all GHGs combined using 100 yr global warming potentials from the 4th IPPC Assessment report to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_byGHG_USD2021.csv) provides kg of each unique GHG emitted per dollar per commodity without the CO2e calculation. The dollar (USD) in the denominator of all factors uses purchaser prices in 2021 USD. See the supporting file 'Aboutthe2019v1.2SupplyChainGHGEmissionFactors.pdf' for complete documentation of this dataset.

GHG emission factorsUSEEIOcarbon footprintscope 3
text/csvU.S. Environmental Protection AgencyOpen dataset →
DA
AgricultureR/PT1S

Quick Stats Agricultural Database API

Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

African American operatorsAgricultureAmerican Indian Reservation farmsAsian operators
Department of AgricultureOpen dataset →
GSA
OtherR/P1Y

National Stock Number Extract

National Stock Number extract includes the current listing of National Stock Numbers (NSNs) , NSN item name and descriptions, and current selling price of each product listed in GSA Advantage and managed by GSA. Each NSN is listed with the vendors description of the item. Some descriptions exceed the standard length and are truncated.

NSNNational Stock NumberPart NumberProduct
application/vnd.openxmlformats-officedocument.spreadsheetml.sheetGeneral Services AdministrationOpen dataset →
NASA
Space Science

Meteorite Landings

This comprehensive data set from The Meteoritical Society contains information on all of the known meteorite landings. The Fusion Table is collected by Javier de la Torre and we've also provided an XLS file that consists of 34,513 meteorites and includes the following fields: place type_of_meteorite mass_g fell_found year database coordinate_1 coordinates_2 cartodb_id created_at updated_at year_date longitude latitude geojson **5/14/13 Please find an updated data set from The Meteoritical Society that includes more recent meteorites. Under NameType, 'valid' is for most meteorites and 'relict' are for objects that were once meteorites but are now highly altered by weathering on Earth.

airburstvisualdata-visualizationintermediatemodel
JSON, RDF, XML, CSVNational Aeronautics and Space AdministrationOpen dataset →
DJ
geospatialR/P1M

Uniform Crime Reporting (UCR) Program

Federal Bureau of Investigation, Department of Justice - Extraction of crime related data from the FBI's Uniform Crime Reporting (UCR) Program

Crime in the United StatesLEOKALaw Enforcement Officers Killed and AssaultedNIBRS
Api, application/zipDepartment of JusticeOpen dataset →
CNY
City Government

NYC Historical Vital Records: Index to Digitized Death Certificates

The dataset is an index to digitized historical death certificates from 1862-1948 from all 5 NYC boroughs. Details about certificates in DORIS's collection and their digitization status can be found on our website (https://a860-historicalvitalrecords.nyc.gov/digital-vital-records).

dorismarriage recordsnychistoricalvitalrecordsrecords
application/json, application/xml, text/csvCity of New YorkOpen dataset →
USEP
Other

IPCC AR4, AR5, and AR6 20-, 100-, and 500-year GWPs

The International Panel for Climate Change (IPCC) produces regular Assessment Reports that provide global warming potentials (GWPs) for greenhouse gases (GHG) in the context of multiple time horizons including 20, 100, and 500 years. The GWPs (in kg CO2-equivalent per kg GHG) can be multiplied by kg GHGs emitted for use in estimating CO2-equivalent (CO2e) impacts of GHGs emitted. In the context of life cycle assessment (LCA) , the GWPs can be used as characterization factors in of the life cycle impact assessment. This dataset provides 20- (GWP-20), 100- (GWP-100) and 500-year (GWP-500) GWPs from the 4th (AR4), 6th (AR6) IPCC assessment reports, and 20- (GWP-20) and 100-year (GWP-100) GWPs from the 5th (AR5) report (AR5 provided no 500 yr GWPs). Datasets are provided in simple tables in Excel, in the openLCA JSON-LD format compliant with the U.S. Federal LCA Commons standards, and in Apache parquet format for the most efficient import into applications or scripts using languages like Python and R. The names for GHGs are from the Federal LCA Elementary Flow List (FEDEFL) v1.2, which are names preferred for this GHGs in the USEPA's Substance Registry Service. These datasets were created using the LCIA Formatter v1.1.1 (https://github.com/USEPA/LCIAformatter). The GWP values are provided in these formats for convenient use; the values have not been altered from the values reported in the Assessment Reports. Python code used to produce the data is available in a github gist under the supporting data links along with dataset metadata from the LCIA formatter.

AR4AR5AR6FEDEFL
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/zipU.S. Environmental Protection AgencyOpen dataset →
DT
OtherR/P1M

Circulating Coins Production Figures

Production figures for circulating coins by denomination manufactured in Denver and Philadelphia. Updated monthly. Data includes active and inactive programs. Programs tracked in this report include: America the Beautiful Quarters, Presidential $1 Coins, District of Columbia and U.S. Territories Quarters, 50 State Quarters, Westward Journey Nickel Series. Presidential $1 Coins, Native American $1 Coins, and Kennedy Half Dollar Coins are currently only minted for numismatic products. Coins minted for numismatic bags, rolls, and boxes are produced in the circulating departments and may be shown in circulating totals

Circulating Coins Production Figures
text/htmlDepartment of the TreasuryOpen dataset →
CFPB
OtherR/P1D

Consumer Complaint Database

The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

bank accountbank servicecomplaintconsumer
Consumer Financial Protection BureauOpen dataset →
DE
Other

2013-14 Advanced Placement Civil Rights Data Collection

The 2013-14 tables are based on data collected from all of the nation’s school districts and schools—approximately 16,500 school districts and 96,500 schools. This Excel file contains student enrollment in Advanced Placement subjects for all states, and for each AP subject, there are three spreadsheets: total students, male students, and female students.

Elementary-and-secondaryLanguagecivil-rightsminority
XLSXDepartment of EducationOpen dataset →
DA
geospatialR/P1Y

National Agriculture Imagery Program (NAIP) Imagery

The National Agriculture Imagery Program (NAIP) is administered by the U.S. Department of Agriculture's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch. NAIP acquires aerial imagery for the contiguous United States (CONUS) during the agricultural growing season, or leaf-on conditions and may contain as much as 10 percent cloud cover per tile. The images are orthorectified which combines the image characteristics of an aerial photograph with the georeferenced qualities of a map. NAIP acquisition from 2002-2017 was at a ground sample distance (GSD) of 1 or 2-meter. In 2018, the ground sample distance standard changed to 0.6 meter with the option for 0.3 meter. The 2025 acquisition consists of approximately half of the states delivered at 60cm and the other half at 30cm ground sample distance. The repeat flying cycle has also changed to no more than a 3-year cycle (generally every other year for most states) from its 5-year cycle back in 2003-2009. Each individual image tile is based on a 3.75-minute longitude by 3.75-minute latitude quarter quadrangle, originally with a 300-meter buffer on all four sides. In 2024 the buffer was changed to 12-meters on all four sides. Tiles in the NAIP collection are natural color (red, green, and blue bands) or color near infrared (red, green, blue, and near infrared bands).

Imagery ThemeNGDANGDA Imagery ThemeNGDAID106
application/xmlDepartment of AgricultureOpen dataset →
USDH
Other

National Death Index

<p>The National Death Index (NDI) is a centralized database of death record information on file in state vital statistics offices. Working with these state offices, the National Center for Health Statistics (NCHS) established the NDI as a resource to aid epidemiologists and other health and medical investigators with their mortality ascertainment activities.</p> <p>Assists investigators in determining whether persons in their studies have died and, if so, provide the names of the states in which those deaths occurred, the dates of death, and the corresponding death certificate numbers. Investigators can then make arrangements with the appropriate state offices to obtain copies of death certificates or specific statistical information such as manner of death or educational level. Cause of death codes may also be obtained using the NDI Plus service.</p> <p>Records from 1979 through 2011 are currently available and contain a standard set of identifying information on each death. Death records are added to the NDI file annually, approximately 12 months after the end of a particular calendar year. 2012 should be available summer 2014. Early Release Program for 2013 is now available.</p> <p>The NDI service is available to investigators solely for statistical purposes in medical and health research. The service is not accessible to organizations or the general public for legal, administrative, or genealogy purposes.</p>

population statisticsvital statistics us births and deaths
U.S. Department of Health & Human ServicesOpen dataset →
CS
geospatial

SDOT Collisions All Years

SDOT Collisions All Years is provided by SPD and recorded by Traffic Records. This feature includes all types of collisions and will display at the intersection or mid-block of a segment.<div><br /></div><div>Refresh Cycle: Daily Refresh</div><div><br /></div><div>Feature Class: SDOT.COLLSN_DET_PT</div><div><br /></div><div>Definition Query: None</div><div><br /></div><div><br /></div>

accidentsbicyclecollisionscollisions all years
text/csv, application/vnd.ms-excel, text/plain, application/zip, application/geopackage+sqlite3, appCity of SeattleOpen dataset →
DVA
OtherR/P1Y

FY 2025 Disability Compensation Recipients by County

This report provides county-level estimates of the number of Veterans receiving VA Disability Compensation benefits as of 9/30/2025. It includes the Veterans’ total service-connected disability (SCD) rating, age group, and sex. Blank values represent small cell counts that have been suppressed to protect the identity of Veterans as well as some cell counts that have been suppressed in order to prevent the determination of the values of the aforementioned small cell counts. Some categories may not sum to the total due to missing information (e.g., age, sex, etc.). Data is current as of 9/30/2025. The availability of sex and age data is limited as some records have no sex or birthdate available. In the table, there are 878 Veterans whose sex is not available and 28 Veterans whose age is not available. The number of Veterans who were disability compensation recipients during FY 2025 but were no longer disability compensation recipients at the end of FY 2025 is 149,077. These Veterans are not included in the table. Sources: Department of Veterans Affairs, Office of Information and Technology, USVETS25 data, Veterans Benefits Administration VETSNET FY 2025 compensation data, and Melissa Data (September 2025) geography data. Prepared by National Center for Veterans Analysis & Statistics, www.va.gov/vetdata.

compensationdisability compensationfy 2025fy 2025 comp
application/json, application/xml, text/csvDepartment of Veterans AffairsOpen dataset →
FHFA
OtherR/P1Y

Fair Lending Data

Fair lending is central to the principles under which the U.S. housing finance system operates and is a requirement of law. FHFA monitors fair lending data and risk presented by regulated entity activities.

dashboarddatafairlend_data
Federal Housing Finance AgencyOpen dataset →
BEA
EconomyQuarterly

Regional Economic Accounts

GDP, personal income, and industry data for states, counties, and metropolitan areas.

GDPincomeindustryregional economy
JSONBureau of Economic AnalysisOpen dataset →
FEMA
Climate & RiskPeriodic

National Risk Index

Community-level natural hazard risk, expected annual loss, resilience, and social vulnerability indicators.

FEMAhazardfloodwildfire
CSV / APIFederal Emergency Management AgencyOpen dataset →
USEI
EnergyDaily

EIA Open Energy Data

Electricity, petroleum, natural gas, renewable energy, and energy price statistics.

energyelectricityoilgas
JSONU.S. Energy Information AdministrationOpen dataset →
CDCP
HealthVaries

CDC Public Health Data

Public health surveillance, disease, mortality, behavioral, and environmental health datasets.

healthdiseasemortalityCDC
JSONCenters for Disease Control and PreventionOpen dataset →
NASA
Earth & SpaceDaily

NASA Earth Observation Data

Satellite imagery, climate measurements, land observations, and earth science metadata.

NASAsatelliteclimateearth
JSONNational Aeronautics and Space AdministrationOpen dataset →
USDE
EducationAnnual

College Scorecard

Institution-level college costs, admissions, fields of study, graduation, debt, and earnings outcomes.

collegetuitioneducationearnings
JSONU.S. Department of EducationOpen dataset →