AndreaBozzo/ceres-open-data-index huggingface dataset:
Provisional drug overdose death counts for specific drugs

This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates. 

The provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.
State Drug Utilization Data 2020

Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html

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### 🔗 Related Datasets

- [State Drug Utilization Data 2021](https://odgavaprod.ogopendata.com//dataset/9694e289-6965-4b04-920c-57c1aae717e3) — *HealthData.Gov*
- [State Drug Utilization Data 2022](https://odgavaprod.ogopendata.com//dataset/6f4a1ee8-d128-41cf-a111-e611e0908919) — *HealthData.Gov*
- [State Drug Utilization Data 2010](https://odgavaprod.ogopendata.com//dataset/6a28c50d-8ec9-4280-8d77-20837f88c0b5) — *HealthData.Gov*
- [Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 11-17-2025-to-11-23-2025](https://odgavaprod.ogopendata.com//dataset/af137106-8b73-482e-a532-a46bb0963d18) — *HealthData.Gov*

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Border Crossing Data

The Bureau of Transportation Statistics (BTS) Border Crossing Data provide summary statistics for inbound crossings at the U.S.-Canada and the U.S.-Mexico border at the port level.  Data are available for trucks, trains, containers, buses, personal vehicles, passengers, and pedestrians.  Border crossing data are collected at ports of entry by U.S. Customs and Border Protection (CBP).  The data reflect the number of vehicles, containers, passengers, and pedestrians entering the United States through CBP facilities.  CBP does not collect comparable data on outbound crossings. BTS also does not collect data about the size or number of seats per bus. Users seeking more detailed data such as outbound counts may therefore want to review information from individual bridge operators, border state governments, or the Mexican and Canadian governments.
National Hospital Care Survey, 2020 public-use file

As a principal source of information on health care utilization in the United States, NHCS collects inpatient and emergency department data from a nationally representative sample of U.S. hospitals sourced from administrative and electronic health records data. The 2020 NHCS is conducted by the National Center for Health Statistics (NCHS) and is a member of the National Health Care Surveys – a family of surveys which measure health care utilization across a variety of health care providers and settings.
Long-Range Land Use Developable Areas

A build-out analysis shows the maximum planned future development within a locality. Such an analysis does not show the ideal or preferred conditions. It provides an assessment of the current zoning districts, long-range land use of undeveloped lots, and potential redevelopment areas. The resulting charts, numeric data, and graphics depict how Prince William County is changing. This analysis only looks at the lands of Prince William County without including the Cities of Manassas and Manassas Park, or the towns of Dumfries, Haymarket, Occoquan, and Quantico. For the most part, Marine Corps Base Quantico is not included in any projections either, as Prince William County is not involved in its development or expansion. The County’s geographic information system (GIS) has been used to create layers and tables to monitor different types of development, within the County, at a parcel or project level. Using GIS, the Planning Office can track areas that are developed, developing, or undevelopable such as conserved or protected lands, publicly owned lands, parks, cultural resources, etc. These layers are compared to determine remaining and future growth capacity.This build-out analysis is updated by the Planning Office. Each update is based on occupancy permits, rezonings, special-use permits, and Comprehensive Plan amendments that have been issued or approved. The data provided in this report shows the quantity of residential units built and an approximation of units yet to be built, commonly referred to as the “pipeline”. Non-residential development is similarly analyzed based on building floor area. This report also includes estimates of residential and non-residential capacity in small area plans and revitalization areas.
Non-Residential Premise Points

<p>This layer was created for use in the Prince William County Build-Out Analysis to track the location of nonresidential development in Prince William County. The layer includes any type of structure not considered to be residential in use, and includes industrial, office, and commercial/retail premise address information. Information includes property owner, GPIN, Real Estate Assessments Use Code, street address, gross floor area as important data fields. The layer is automatically updated and is on the Build-Out Analysis.</p>
Residential Premise Points

<p>This layer includes any residential premise address that has an existing residential structure on the parcel. The layer includes information including:Premise typeMagisterial DistrictYear BuiltApartment?Age-Restricted?Marine Corps Base QuanticoJurisdictionTwo-Over-Two Housing UnitMobile Home Park Dwelling</p>

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### 🔗 Related Datasets

- [Non-Residential Premise Points](https://odgavaprod.ogopendata.com//dataset/b931b4d0-aff8-405d-be35-3b9f4001a5ed) — *Prince William County*

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Underdeveloped A1 Parcels

<p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 6px; padding-bottom:1em; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='font-size:14px;'><span>The gisdb.GTS.Parcel data layer is the source layer for the Underdeveloped A-1 Parcels layer that is represented on the online Esri based Prince William County Build-Out Analysis. The layer represents A-1 zoned parcels that are not fully developed to the Zoning Ordinance allowed density per the size of the parcel.</span></span></p><p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 6px; padding-bottom:1em; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='color:rgb(90, 147, 89); font-weight:normal;' target='_blank' href='https://library.municode.com:443/va/prince_william_county/codes/code_of_ordinances?nodeId=CH32ZO_ARTIIIAGREDI_PT301AGDI' rel='nofollow ugc noopener noreferrer'><span style='font-size:14px;'><span><u>Zoning Ordinance Sec. 32.301. Agricultural Districts</u></span></span></a></p><p><span style='font-size:14px;'>This data layer contains polygon features representing the approximate size and location of parcels located within Prince William County, Virginia. It was created to provide basic information regarding property location and boundaries, and is used as a graphical representation of legally recorded deed and plat documents for properties. Users should be aware that this data does not represent legal property boundary descriptions, nor is it suitable for boundary determination of individual parcels. Parcel ownership information is not included in this layer but can be purchased separately from the Office of Real Estate Assessments.The layer was derived from a variety of source maps including: mylar county parcel maps, plats of surveys, deed descriptions, subdivision maps, and highway right-of-way plats. These source materials were of several different scales and were from dates ranging from the early 1900's to the present. The source of each parcel is described in the Source attribute field.</span></p>
Bedford County Sewer Service Area - BRWA Open Data

<p>Layer was originally created using best available paper documentation for Bedford Regional Water Authority (BRWA) GIS use. The Bedford County <a target='_blank' href='https://bedfordcova.interactivegis.com/' rel='nofollow ugc noopener noreferrer'>iGIS site</a> (ParcelViewer replacement), which is shared publicly, is a dependency of this layer. BRWA is responsible for maintaining the data, which is updated on as-needed basis. This layer is expected to be maintained indefinitely.&nbsp;</p>
2022 - 2024 NTD Annual Data - Capital Expenses (by Capital Use)

This dataset details capital expenses by capital use type (existing or expansion) for each applicable agency, mode, and type of service (TOS) reporting to the National Transit Database in the 2022, 2023, and 2024 report years.

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

In years 2015-2021, you can find this data in the "Capital Expenses" 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.
2022 - 2024 NTD Annual Data - Breakdowns

This dataset details mechanical failures for each applicable agency, mode, and type of service (TOS) reporting to the National Transit Database in the 2022, 2023, and 2024 report years.

Only Full Reporters report breakdowns.

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 Vehicle Maintenance database files.

In years 2015-2021, you can find this data in the "Breakdowns" 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.
VDH PUD Overdose Deaths by Year and Quarter - Virginia

This dataset includes the number and rate of drug overdose deaths among Virginians by quarter, and drug class. 

Note: VDH is transitioning from the use of NCHS bridged-race population estimates to Census single-race population estimates to display rates by race and ethnicity. As a result, rate calculations are not available in the drug overdose deaths public use dataset. Once this transition is complete the public use datasets will be updated to include rate calculations.

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### 🔗 Related Datasets

- [VDH PUD Overdose Deaths by Year and Geography - Virginia](https://odgavaprod.ogopendata.com//dataset/ee6eba30-3def-4c64-8967-5e06ecbf33e5) — *Virginia Department of Health*
- [VDH PUD Overdose Deaths by Demographics - Virginia](https://odgavaprod.ogopendata.com//dataset/bba21389-b4e3-4440-881b-c0752b20d32b) — *Virginia Department of Health*

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Residential Permit Parking Districts (RPPD)

<p></p><p>Residential Permit Parking Districts (RPPDs) help prevent traffic congestion and hazardous conditions in residential areas, provide easier parking access to residences fronting public streets, and preserve residential character and property values in Loudoun County. You must have a permit to park in an RPPD during posted hours. For more information about RPPDs, see the RPPD web page. </p><p>For questions about Residential Permit Parking Districts, email RPPD@loudoun.gov at the Department of Transportation and Capital Infrastructure or call 703-737-8624.</p>
Taxable Sales Data by Locality year 2003

Taxable sales information for all counties and cities in the Commonwealth of Virginia is based on all sales tax receipts received by the Department of Taxation. Taxable sales for a locality reflect payments for sales made during the current period, tax payments based on audit settlements for sales occurring in previous periods, and any transfers of revenue from one locality to another to correct errors in filing of tax returns. Deposit, refund, and bad check adjustments are not reflected in the taxable sales report.

The Department of Taxation releases taxable sales information for each quarter as well as a separate computation of taxable sales figures for the calendar year. Combining the quarterly reports will not yield a complete annual sales total.

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### 🔗 Related Datasets

- [Taxable Sales Data by Locality year 2004](https://odgavaprod.ogopendata.com//dataset/77da1aa8-3b07-4cc1-934a-57da5bbaaea2) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2001](https://odgavaprod.ogopendata.com//dataset/0bcb48a5-2b80-4e9a-9b0b-95d5fc7e2521) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2002](https://odgavaprod.ogopendata.com//dataset/434c0f5d-f2f7-4c9f-a86b-2831f252c2b9) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2023](https://odgavaprod.ogopendata.com//dataset/f0d37ff5-a192-4e05-be7a-72d1632b79bd) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2000](https://odgavaprod.ogopendata.com//dataset/4c1e9c15-f44b-4da3-8f22-f0338672d379) — *Department of Taxation*

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Tax in Virginia

Contains revenue from taxes data in Virginia

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### 🔗 Related Datasets

- [Sales Tax Collections by State - Virginia](https://odgavaprod.ogopendata.com//dataset/c73fe3ad-ba85-4220-936d-bccf59b05ef8) — *Datathon 2025*
- [Income - Virginia](https://odgavaprod.ogopendata.com//dataset/f732aabd-d761-4c48-8a6e-81f1c6182a9b) — *Datathon 2024*
- [Taxable Sales Data by Locality year 2024](https://odgavaprod.ogopendata.com//dataset/59ddca15-342e-4303-a7e1-46c45ea7a803) — *Department of Taxation*

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Student Enrollment and Attendance Data by Teaching Modality - 2020 - 2021

Student enrollment data disaggregated by students from low-income families, students from each racial and ethnic group, gender, English learners, children with disabilities, children experiencing homelessness, children in foster care, and migratory students for each mode of instruction.

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### 🔗 Related Datasets

- [School Learning Modalities, 2020-2021](https://odgavaprod.ogopendata.com//dataset/ef49bd2a-1bde-4f19-9da7-032437b72d52) — *HealthData.Gov*
- [School Learning Modalities, 2021-2022](https://odgavaprod.ogopendata.com//dataset/ecdf0f76-fb9a-4662-92a1-cfcacb6cdd82) — *HealthData.Gov*

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Capital Bikeshare Locations

The dataset contains locations and attributes of Capital Bikeshare sites. These are offer bikes to travel throughout the District for a fee.

Capital Bikeshare is metro DC's bikeshare service, with 5,000 bikes and 600+ stations across 7 jurisdictions: Washington, DC.; Arlington, VA; Alexandria, VA; Montgomery, MD; Prince George's County, MD; Fairfax County, VA; and the City of Falls Church, VA. For more information, please visit https://www.capitalbikeshare.com.

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### 🔗 Related Datasets

- [Capital Bike Share Station Points - Alexandria](https://odgavaprod.ogopendata.com//dataset/e048a9e8-e3b7-44d4-abd6-8f597ac0940b) — *Datathon 2025*
- [Transportation - Bikeshare Statistics - Arlington](https://odgavaprod.ogopendata.com//dataset/829563b0-532a-4dda-a660-6d503cec0a9d) — *Datathon 2025*
- [Capital Bike Share Station Points](https://odgavaprod.ogopendata.com//dataset/d2ffbd0d-ec60-40fe-acb3-7cc14d52b929) — *Arlington County - GIS Portal*

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Access to Jobs in Virginia by census block 2022 (auto, bike, walk & transit)

The Accessibility Observatory at the University of Minnesota produces census block level access to jobs data by four modes (auto, bike, walk and transit).  https://www.cts.umn.edu/programs/ao

Accessibility is the ease and feasibility of reaching valued destinations. It can be measured for a wide array of transportation modes, to different types of destinations, and at different times of day. There are a variety of ways to define accessibility, but the number of destinations reachable within a given travel time is the most comprehensible and transparent as well as the most directly comparable across different geographies.

Reports published by mode have detailed information on how these data are produced.  
Auto:  https://hdl.handle.net/11299/266465
Bike:  https://hdl.handle.net/11299/266466
Walk:  https://hdl.handle.net/11299/266468
Transit:  https://hdl.handle.net/11299/266467

These data are provided in two formats.  The first format is an ESRI Map Package that includes feature classes for each mode.  The second format is a zipped shapefile of census blocks and four CSV files, one for each mode.  For every census block, for each mode, there is a reported value of the number of jobs that can be reached within a specified time threshold.  The bicycle mode uses Level of Traffic Stress (LTS) 3 (medium stress) to define usable routes.

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### 🔗 Related Datasets

- [Access to Jobs in Virginia by census block 2023 (auto, bike, walk & transit)](https://odgavaprod.ogopendata.com//dataset/36bd6a50-98bd-4fb1-8fb7-e68512bfd744) — *Office of INTERMODAL  Planning and Investment*
- [Access to Jobs in Virginia by census block 2024 (auto, bike, walk & transit)](https://odgavaprod.ogopendata.com//dataset/a04276e1-150d-4c68-8a12-7e450646a154) — *Office of INTERMODAL  Planning and Investment*

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Data on Aging in Virginia: Economic Indicators

Twenty-five Area Agencies on Aging (AAAs) provide critical services to the 1.9+ million Virginians aged 60+ across the Commonwealth. AAAs depend on timely and relevant demographic data to make informed decisions about how to best serve their populations. The data products listed below aim to assist the AAAs in understanding some of the basic demographic characteristics of older adults in Virginia as a whole, and in each of Virginia's Planning and Service Areas (PSAs).

Data tables include: Poverty status, SNAP/Food stamp usage, labor force participation, and renter/homeowner status

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### 🔗 Related Datasets

- [Data on Aging in Virginia: Health & Disability](https://odgavaprod.ogopendata.com//dataset/d8c0b2da-9fcd-44e1-806a-6e7cb3ec1927) — *Weldon Cooper Center for Public Service*
- [Demographics Data on Aging in Virginia](https://odgavaprod.ogopendata.com//dataset/73f1efe7-6cc9-4ff4-82f6-14eb4cab80bd) — *Weldon Cooper Center for Public Service*

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Virginia Housing - Strategic Direction Annual Reports

The quality of life for all Virginians starts at home. That’s why we’re working to deliver on our vision by reaching all communities, reducing disparities and exploring innovative solutions across the housing landscape.


Our priorities through 2025:
Strategic Goal 1: Address state housing needs by partnering with the Housing Delivery Network
Strategic Goal 2: Address the unmet rental needs of low-income and critical needs populations
Strategic Goal 3: Strengthen homeownership for first-time homebuyers in Virginia
Strategic Goal 4: Deliver superior, long-term financial operational performance to strengthen achievement of mission

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### 🔗 Related Datasets

- [Virginia Housing's Annual Financial Statements](https://odgavaprod.ogopendata.com//dataset/84d9b91b-fcd3-49c1-842f-4dc5b1908d81) — *Datathon 2025*

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Taxable Sales Data by Locality year 2004

Taxable sales information for all counties and cities in the Commonwealth of Virginia is based on all sales tax receipts received by the Department of Taxation. Taxable sales for a locality reflect payments for sales made during the current period, tax payments based on audit settlements for sales occurring in previous periods, and any transfers of revenue from one locality to another to correct errors in filing of tax returns. Deposit, refund, and bad check adjustments are not reflected in the taxable sales report.

The Department of Taxation releases taxable sales information for each quarter as well as a separate computation of taxable sales figures for the calendar year. Combining the quarterly reports will not yield a complete annual sales total.

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### 🔗 Related Datasets

- [Taxable Sales Data by Locality year 2003](https://odgavaprod.ogopendata.com//dataset/677cef01-1641-4584-a64b-e844b2c2184b) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2001](https://odgavaprod.ogopendata.com//dataset/0bcb48a5-2b80-4e9a-9b0b-95d5fc7e2521) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2002](https://odgavaprod.ogopendata.com//dataset/434c0f5d-f2f7-4c9f-a86b-2831f252c2b9) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2014](https://odgavaprod.ogopendata.com//dataset/59894e34-2da1-480c-b90b-80a0935c4861) — *Department of Taxation*
- [Taxable Sales Data by Locality year 2005](https://odgavaprod.ogopendata.com//dataset/3df89e14-98a2-4338-8b6d-e9dc50a35324) — *Department of Taxation*

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Norfolk 2020 American Community Survey Five-Year Estimates

This dataset contains the American Community Survey (ACS) five-year estimates for Norfolk, Virginia. According to the United States Census Bureau, the ACS is the premier source for detailed population and housing information about communities and the nation. Every year, the Census Bureau conducts a survey and creates estimates for demographic categories such as income, employment, poverty, race, ethnicity, housing, age, gender, internet access, vehicle access, and other topics. For census tracts, 5-year estimates are generated and released to the public.
This dataset includes five-year estimates released in 2020 for census tracts in Norfolk, VA and will be updated annually with each new release of five-year estimates.

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### 🔗 Related Datasets

- [Norfolk 2020 American Community Survey Five-Year Estimates](https://odgavaprod.ogopendata.com//dataset/c8aac172-edc6-4a0e-89ce-6ee3487e2085) — *City of Norfolk*
- [Norfolk 2020 American Community Survey Five-Year Estimates](https://odgavaprod.ogopendata.com//dataset/a2adb68f-155c-4f94-a733-ac72a8630c66) — *City of Norfolk*

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