Casinos & Gaming · Data.gov
Data.gov Catalog - Casino & Gambling Dataset Search
Datadory delivers data gov catalog casino gambling dataset search data covering every United States government catalog record matching casino and gambling terms - thirteen entries out of 552,271, led by Connecticut's monthly slot and online-casino revenue, Maryland's authorized-facility register and Oklahoma's tribal exclusivity fees, each normalized to a fifteen-field verified dictionary.
API, files, or your warehouse. Daily, weekly, or hourly.
What is the Data.gov Catalog - Casino & Gambling Dataset Search?
It is the gaming cut of the United States' whole-of-government data catalog, operated by the General Services Administration since May 2009. The parent catalog federates 552,271 datasets from federal agencies plus participating state, county, city and tribal publishers; draw the line at casino and gambling terms and thirteen records surface, roughly half of them directly gaming-regulatory.
What distinguishes this slice from other government-catalog records is who does the publishing. The strongest holdings come from state gaming regulators rather than Washington: Connecticut reports online-casino receipts and slot revenue month by month, Maryland maintains a point layer of every authorized property, Oklahoma prices tribal gaming exclusivity from 2006 forward. Federal entries contribute the long view and the enforcement context - a 1970-1984 Department of Justice study of casino gambling and crime in the Atlantic City region, and financial-crime enforcement actions from the Treasury side. Every hit arrives as a DCAT-US metadata record: the catalog describes each publisher-held dataset rather than hosting it, which is why this record works as the authoritative index of who publishes what in regulated American gaming.
What do sample rows look like?
Two layers, shown together in the mono block above because the pairing is the point. Three catalog records - Connecticut's online casino gaming series, Maryland's casinos point layer, Oklahoma's tribal exclusivity fees - then the publisher rows sitting beneath two of them.
Read the Connecticut pair bottom-up: a catalog record stamped 2026-08-17 resolves to a fiscal-year 2026/27 operator statement for MPI Master Wagering License CT, LLC, with $919,012,472 in wagers producing $25,490,603 of gross gaming revenue for the month ended July 31, 2026, less a $4,498,342 promotional deduction and a $4,588,309 payment due the state. Read the Maryland pair top-down: the point-layer record resolves to individual properties such as Horseshoe Baltimore Casino at 1525 Russell Street, operated by Caesars Entertainment Corporation, offering live table games and slot machines. Metadata on top, measured numbers underneath, one join apart.
What fields does each record carry?
Fifteen verified fields make up the delivered core, every definition checked against live records during the August 2026 research pass rather than reconstructed from column names. Four identify (title, description, identifier, publisher), one attributes the publishing body with its government tier (organization), three classify (keyword, theme, accessLevel), three timestamp (issued, modified, last_harvested_date) and four qualify the payload (has_download, has_spatial, popularity, contactPoint). Three pointer-style attributes - landing-page references, per-file resource listings and the original-versus-normalized metadata handles - fold under additional fields on request rather than padding every extract with columns most analyses never touch.
Where does coverage run across geography, time and granularity?
Geographically it is the United States with an unusually flat hierarchy: state regulators own the headline series, but county (Montgomery County benefit-performance permits), city (Chicago appears when description text matches), tribal and federal publishers sit in the same result set. Casino-specific hits have been observed for Connecticut, Maryland, Oklahoma, New Jersey's Atlantic City study area, Montgomery County and Chicago.
Temporally the spread is wider than any single regulator's archive - a 1970-1984 DOJ crime study at one end, Oklahoma exclusivity fees from 2006, and Connecticut's monthly cycle at the other, with a July 2026 period end already carrying revised figures by mid-August. Each record's own revision stamp states where it sits on that range, so freshness is read off the row rather than assumed.
Granularly the catalog holds one record per dataset; the payloads underneath vary from monthly revenue line items split by operator and property, through point locations of authorized facilities, down to annual and monthly fee totals.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Your cadence runs independently of the publishers' rhythms. Take a one-time snapshot of the gaming slice, or hold a warehouse table current so newly registered records diff cleanly into yesterday's rows. Deliveries arrive normalized to the field dictionary above with the publishing organization typed as name plus government tier, so joins against your own regulator watchlist hold up without parsing free text.
Two postures work well. Take the catalog layer alone as a monitored index of which American gaming regulators publish what. Or take it joined to the underlying data, where records Datadory already delivers as their own feeds arrive aligned on one key.
Who uses this data, and for what?
- State market benchmarking - Connecticut's monthly slot and online-casino statements measure a regulated market at operator grain - wagers, gross gaming revenue, promotional deductions and net payment side by side.
- Property-footprint mapping - Maryland's casino point layer turns authorized venues into mappable coordinates with operator, address, county and activity type attached.
- Tribal gaming economics - Oklahoma's exclusivity-fee series, running from 2006 forward, prices the compact arrangement between the state and tribal gaming operations year after year.
- Policy and impact research - The 1970-1984 DOJ study of casino gambling and crime in the Atlantic City region gives historical depth no current-year revenue table can.
- Enforcement-context screening - Federal financial-crime enforcement actions touching the sector surface inside the same result set, so compliance reading lists assemble themselves.
- Catalog audits before a build - Prove which American gaming regulators publish machine-readable statistics, and which do not, before anyone commits engineering effort to a pipeline.
One honest limit: thirteen records is a thin shelf. This slice identifies who publishes regulated-gaming data and hands over their metadata; it does not replace the deep single-state feeds - Nevada's, New Jersey's, Pennsylvania's - once a specific market becomes the question.
Which personas get the most value?
Market Researchers & Consultants and Journalists, Academics & Students lead on fit: regulator-published revenue with named publishing agencies and revision stamps survives review, which is what both groups are buying. Investors & Quant Researchers get a regulator-reported revenue check where their covered states publish. Policy Analysts & Economists get fee and exclusivity series that tie gaming to public receipts. Developers & Builders get a fixed schema for discovery features. Persona workflows sit at market researchers x casinos-gaming, investors & quants x casinos-gaming and journalists & academics x casinos-gaming.
Which notes and neighboring records pair with it?
Cross-tagged on purpose. This record wears a Cargo & Ground Transportation industry tag while its contents are gaming-regulatory - our ranked shortlist says so plainly and keeps it at number ten anyway, as a standing demo of why catalog search still wants a human reading the results.
Keyword noise is part of the record. The same thirteen-result sweep that finds Connecticut's slot statements also catches Chicago socioeconomic-area polygons matched on description text, a water-quality sensor station named Casino Point, and federal enforcement actions sharing vocabulary with the sector. Deliveries report composition per pull rather than quietly dropping the strays.
The map, not the territory. The catalog layer tells you what exists and who publishes it; the measured numbers live in the destination records we deliver separately, joined on request.
Where to go next - World Casino Directory for global physical footprint, UNLV Special Collections for historical depth, and the structural head-to-head in EU Open Data Portal Road Freight Transport vs this catalog search. Background on the publisher sits on the Data.gov source profile.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| field | type | definition | example |
|---|---|---|---|
title | string | Dataset title as supplied by the publishing agency. | Selected Online Casino Gaming Data |
description | text | Publisher-written abstract of the dataset, regulatory footnotes included where applicable. | Agency abstract covering scope, collection method and caveats |
publisher | string | Publishing body name carried on the record. | State of Connecticut |
organization | string | Publishing organization with its government tier: Federal, State, County, City or Tribal Government. | State Government |
identifier | string | Unique dataset ID assigned by the publishing source system. | Agency-assigned dataset ID |
issued | date | Date the dataset was first published by the source agency. | 2019-10-31 |
modified | date | Publisher-declared date the dataset content or metadata was last revised. | 2026-08-17 |
keyword | text | Tags assigned by the publisher, the hooks a casino or gambling search actually matches on. | casino | gaming |
theme | text | Subject categories assigned by the publisher. | Government & Finance |
contactPoint | string | Named contact for the office responsible for the dataset. | Responsible agency office |
accessLevel | enum | Access classification asserted on the record itself. | public |
has_download | boolean | Whether the record exposes files that can be taken as-is. | true |
has_spatial | boolean | Whether the dataset carries geographic extent information, as Maryland's facility layer does. | true |
popularity | integer | View-based score behind the catalog's default trending sort. | 30 |
last_harvested_date | datetime | Timestamp of the catalog's most recent re-read of the record, so recency is stated rather than implied. | 2026-08-18T22:51 |
Data.gov Catalog - Casino & Gambling Dataset Search - product specification
| Attribute | Value |
|---|---|
| Industry | Cargo & Ground Transportation (tagged); contents are Casinos & Gaming |
| Parent catalog size | 552,271 dataset records at the August 2026 verification pass |
| Slice size | 13 casino-matching records, roughly half directly gaming-regulatory |
| Lead publishers | Connecticut, Maryland, Oklahoma, Montgomery County MD, plus federal historical and enforcement entries |
| Fields | 15 documented core fields; pointer-style attributes on request |
| Geographic coverage | United States - federal, state, county, city and tribal publishers |
| Temporal coverage | 1970-1984 DOJ study through current-year monthly statements with mid-August revisions |
| Granularity | One catalog record per matched dataset; payloads from operator-month revenue lines to facility points |
| Delivery cadence | Daily, weekly, or hourly |
What teams do with it
- State market benchmarking Connecticut's monthly slot and online-casino statements measure a regulated market at operator grain - wagers, gross gaming revenue, promotional deductions and net payment side by side.
- Property-footprint mapping Maryland's casino point layer turns authorized venues into mappable coordinates with operator, address, county and activity type attached.
- Tribal gaming economics Oklahoma's exclusivity-fee series, running from 2006 forward, prices the compact arrangement between the state and tribal gaming operations year after year.
- Policy and impact research The 1970-1984 DOJ study of casino gambling and crime in the Atlantic City region gives historical depth no current-year revenue table can.
- Enforcement-context screening Federal financial-crime enforcement actions touching the sector surface inside the same result set, so compliance reading lists assemble themselves.
- Catalog audits before a build Prove which American gaming regulators publish machine-readable statistics, and which do not, before anyone commits engineering effort to a pipeline.
Questions buyers ask
What does data gov catalog casino gambling dataset search data contain?
Thirteen catalog records matching casino and gambling terms out of a 552,271-dataset United States government catalog: DCAT-US metadata for state gaming regulator series such as Connecticut slot and online-casino revenue and Maryland's authorized-facility layer, Oklahoma tribal exclusivity fees, county and city records, and federal historical and enforcement entries.
How many casino and gambling datasets are in the Data.gov catalog?
A targeted search returned thirteen results at the August 2026 verification pass, of which roughly half are directly gaming-regulatory - Connecticut contributes three series, Maryland three, Oklahoma one, plus Montgomery County benefit-performance permits. The remainder match on description text, place names or shared vocabulary.
Which states publish the strongest gaming holdings here?
Connecticut leads with three series: selected online casino gaming data, monthly slot revenue for the current year, and video facsimile and slot-machine data from the Foxwoods and Mohegan Sun properties. Maryland follows with its casinos point layer, and Oklahoma contributes tribal gaming exclusivity fees running from 2006 forward.
Does the slice include tribal gaming?
Yes. Oklahoma's Tribal Gaming Exclusivity Fees series, first issued October 2019 with data from 2006 forward, prices the compact arrangement between the state and tribal gaming operations - the clearest public window into tribal gaming economics anywhere in this result set.
Why do unrelated records appear in a casino search?
Because matching runs on publisher-supplied keywords and description text. Chicago socioeconomic-area polygons enter on a description match, a water-quality sensor station enters because it is named Casino Point, and federal financial-crime enforcement actions share vocabulary with the sector. Samples report composition explicitly rather than hiding the strays.
Can a sample be scoped to my states and topics?
Name the states, publishers and themes - tribal fees, slot revenue, facility registers - and the sample arrives cut to that scope in exactly the schema shown above, with the field dictionary intact. Delivery runs through API, files, or your warehouse on a daily, weekly, or hourly cadence.
Notes on this record
- Provenance Compiled from live catalog records during the August 2026 research pass - field definitions map one-to-one against observed records rather than inferred conventions.
- Cross-tagged, honestly Filed under Cargo & Ground Transportation by industry tag while every meaningful record inside is gaming-regulatory. We would rather flag the mismatch than launder it into a cleaner story.
- Keyword noise travels Description-text matches and coincidental place names sit beside the genuine regulators in the same result set; deliveries report composition per pull instead of silently pruning.
- Scored 8/10 Datadory scores this record eight of ten on its rubric against a cross-catalog mean of 7.81 across 1,744 datasets - high for a thirteen-record slice, on fully verified field definitions and publisher breadth.
- The map, not the territory This record indexes who publishes what in regulated American gaming; the row-level data lives in the destination records delivered as their own Datadory feeds, joined on request.
- Sample policy Samples ship in the exact schema shown above, cut to your named states, publishers and themes; deeper pointer-style options confirm with the sample.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.