# Regal Cinemas Locations — partial U.S.: 43 states location dataset All 401 locations in partial U.S.: 43 states, as one CSV: 49 fields per record, 43 states, file built October 16, 2026. $9 one-time, with up to 10 real rows free before you buy. Canonical URL: https://locationlists.com/data/regal-cinemas-locations 401 Regal theaters in 43 states, read from Regal's own website, one row per theater. Every row has the street address and map point. Every theater has a phone number and a website. Regal publishes no email address. 401 of 401 carry a screen count. Premium formats: Laser projection 175, RPX 118, IMAX 93, 4DX 58, ScreenX 47, Dolby Atmos 7. The file keeps every field Regal publishes per theater, including the theater's own id. Largest cities: Las Vegas, NV 4; New York, NY 4; Knoxville, TN 4; San Antonio, TX 4; Fresno, CA 3. ## The figures - Records: 401 locations - States: 43 - Coverage: partial U.S.: 43 states - Fields: 49 - Price: $9 one-time, CSV download, commercial license (https://locationlists.com/license) - Snapshot built on October 16, 2026. Not rebuilt on a schedule. - File last modified: 2026-10-15 ## Fields - `name`: Name of the place or organization - `brand`: The chain, or Independent - `parentCompany`: The company that owns the chain - `venueType`: What kind of place it is (movie theater, drive-in, concert hall, art gallery...) - `address`: Street address - `city`: City - `state`: Two-letter state code - `zip`: ZIP code - `country`: Country code - `phone`: Phone number - `website`: Website - `latitude`: Latitude - `longitude`: Longitude - `screens`: Number of screens - `screensSource`: Where the screen count comes from - `premiumFormats`: Premium formats (IMAX, Dolby Cinema, RPX, XD, 4DX, ScreenX, laser...) - `amenities`: Features the site lists (recliners, dine-in, bar, reserved seating, accessibility devices...) - `reservedSeating`: Y with reserved seating - `recliners`: Y with reclining seats - `status`: Open, or the status the source gives - `sourceId`: Stable row id (the source's own id) - `sourceUrl`: Where the row was read - `theatreCode`: Regal theatre code - `auditoriumsScheduled`: Auditoriums with a showing on the sample date - `scheduleDate`: Date of the schedule read for screens and formats - `showtimesOnScheduleDate`: Showings on the sample date - `performanceAttributes`: Every attribute on the sample date's showings - `valueDayText`: Regal's discount day - `src_pwp_availability`: The source's own field: pwp availability - `src_iana_timezone`: The source's own field: iana timezone - `src_concessions_enabled`: The source's own field: concessions enabled - `src_unlimited_tier`: The source's own field: unlimited tier - `src_display_fees`: The source's own field: display fees - `src_display_taxes`: The source's own field: display taxes - `src_api_concessions_enabled`: The source's own field: api concessions enabled - `directionsUrl`: Google Maps directions link - `naicsCode`: NAICS code - `naicsTitle`: NAICS title - `sicCode`: SIC code - `sicTitle`: SIC title - `updatedDate`: Date the list was built - `src_message_title`: The source's own field: message title - `src_message_start`: The source's own field: message start - `src_message_end`: The source's own field: message end - `geo_precision`: How exact the map point is - `county`: County - `county_fips`: County FIPS code - `county_note`: Note when a ZIP spans counties - `address_quality`: How complete the street address is In the header but under 1% filled, so not in this release: dineIn. ## What we did to this data Unified 5 city spellings, corrected 1 misspelled city names, added the county to 399 listings, flagged 3 incomplete addresses and measured 401 rows. Rebuilt October 15, 2026 from regmovies.com. ## How complete the key fields are phone 100%, website 100%, street address 100%, city 100%, state 100%, ZIP code 100%, latitude 100%, longitude 100%. 45 of 50 columns are filled on at least half the rows. ## Ask this list a question with a link No connector and no account; each link answers with the matching count, preview rows and the price for just that part. - [Only California, the state with the most](https://locationlists.com/find?dataset=regal-cinemas-locations&state=CA) - [Within 25 miles of Los Angeles, CA, the busiest area](https://locationlists.com/find?dataset=regal-cinemas-locations&near=Los+Angeles+CA&radius=25) - [Within a 30-minute drive of Los Angeles, CA](https://locationlists.com/find?dataset=regal-cinemas-locations&near=Los+Angeles+CA&drive=30) - [Only rows where reservedSeating is Y](https://locationlists.com/find?dataset=regal-cinemas-locations&where=reservedSeating%3Aeq%3AY) - [Every Movie Theaters list combined, within 25 miles of Anaheim, CA](https://locationlists.com/find?category=movie-theaters&near=Anaheim+CA&radius=25) - [Each one's nearest Cinemark Theatres Locations, in California, with miles](https://locationlists.com/find?dataset=regal-cinemas-locations&state=CA&relate=nearest&k=1&b.dataset=cinemark-theatres-locations&b.state=CA) - [The whole list: add a city, state, ZIP code or distance](https://locationlists.com/find?dataset=regal-cinemas-locations) ## The same dataset, for machines - Record as JSON: https://locationlists.com/data/regal-cinemas-locations/dataset.json - Free sample, up to 10 real rows: https://locationlists.com/data/regal-cinemas-locations/sample.csv or https://locationlists.com/data/regal-cinemas-locations/sample.json - Buy link (opens Stripe Checkout): https://locationlists.com/data/regal-cinemas-locations/buy ## Questions ### Where does the list come from? From Regal's own website: its theater list and the data behind each theater page. Every theater the site lists is a row. ### Does it include screen counts and formats? 401 of 401 carry a screen count. screensSource says where each count comes from. premiumFormats names formats such as IMAX, Dolby or the chain's own large format where the site lists them. ### Can I buy every arts and entertainment list at once? Yes. The US Arts & Entertainment Venues file holds all 25 lists, one row per place, 134,794 places. It costs the 25 lists added up, less 10%. ### How is this data cleaned? Every rebuild runs the same steps and counts what each one changed. For the current file, rebuilt October 15, 2026 from regmovies.com: Merged 0 duplicate listings that had the same business name, street address and ZIP code, keeping every filled-in detail from both (October 15, 2026). Unified 5 city names written more than one way within the same ZIP code (for example with and without a space or an abbreviation) to the US Census Bureau spelling (October 15, 2026). Corrected 1 misspelled city names to the US Census Bureau place name for their ZIP code (October 15, 2026). Added map coordinates to 0 listings that had none, from the US Census Bureau address geocoder or, where the street address could not be matched, the centre of the ZIP code (October 15, 2026). Set the county and its federal county code on 399 listings, matched to the US Census Bureau county list from the county the source records, the listing's map point, or its ZIP code area (October 15, 2026). Checked every map point against the state in its address and re-placed 0 points that fell outside that state (October 15, 2026). Flagged 3 addresses that are incomplete, a PO box, or missing a house number, in an address quality column (October 15, 2026). Checked that the row count, state count and field completeness published for this file were measured from the file itself (October 15, 2026). ### Isn't this free on regmovies.com? The underlying records are public on regmovies.com. What you pay for is the work between that public release and this file: unified 5 city spellings, corrected 1 misspelled city names, added the county to 399 listings, flagged 3 incomplete addresses and measured 401 rows. The current file was rebuilt October 15, 2026 from regmovies.com. Doing it yourself means downloading the full release, repeating each of those steps, and repeating them again every time the source updates. ### How complete is each field? Measured on every row of the current file, the share of rows that carry each key field: phone 100%, website 100%, street address 100%, city 100%, state 100%, ZIP code 100%, latitude 100%, longitude 100%. 45 of 50 columns are filled on at least half the rows.