TK Elevator Branch Offices
U.S. Location Dataset // 123
Every US branch office on TK Elevator's service-area pages (TK Elevator is the former thyssenkrupp Elevator). Its site has a page for every state and a page for every branch or service area; the 123 rows here are the branches with an office address of their own, while the service-area pages that name no office are left out (the site describes its network as over 123 local branch offices). Each row has the branch name, street address, city, state, ZIP, opening hours, the branch page and the branch's own description. The phone column is what each branch page publishes, which for most branches is TK Elevator's national number rather than a local line. TK publishes no coordinates, so each address was matched with the US Census geocoder: 110 at address level and 13 at their ZIP's centre. County and county FIPS are added.
What we did to this data: Shortened 15 ZIP codes, added coordinates to 123 listings, added the county to 123 listings, re-placed 0 misplaced map points, flagged 0 incomplete addresses and measured 123 rows. Rebuilt September 29, 2026 from tkelevator.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%. 20 of 22 columns are filled on at least half the rows.
Need just some of them? Ask in your own words.
●Where the rows are
{}Data Fields
The percentage is how much of the file carries that field, measured on the delivered CSV rather than estimated. 2 of 22 fields are populated on under half the rows (county_note, zip4).
How complete each column is
| Column | Rows filled |
|---|---|
| company | 100% |
| name | 100% |
| locationType | 100% |
| address | 100% |
| city | 100% |
| state | 100% |
| zip | 100% |
| country | 100% |
| phone | 100% |
| website | 100% |
| hours | 100% |
| sourceUrl | 100% |
| branchName | 100% |
| description | 100% |
| latitude | 100% |
| longitude | 100% |
| geo_precision | 100% |
| county | 100% |
| county_fips | 100% |
| county_note | 11% |
| address_quality | 100% |
| zip4 | 12% |
≡Sample Data Preview
| company | sourceUrl | name | locationType | address | city | state | zip | country | phone | website | hours | branchName | description | latitude | longitude | geo_precision | county | county_fips | address_quality |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TK Elevator | https://www.tkelevator.com/us-en/service-areas/ak/anchorage | TK Elevator – Anchorage | Branch office | 2000 West International Airport Road d6 | Anchorage | AK | 99502 | US | +18444275461 | https://www.tkelevator.com/us-en/service-areas/ak/anchorage | Mo,Tu,We,Th,Fr 08:00-17:00; Sa,Su 00:00-00:00 | Anchorage | Whether you need simple repairs, ongoing maintenance, or a full elevator system modernization our local experts in Alaska provide comprehensive solutions to keep your elevators safe, efficient and reliable. | 61.172273 | -149.919041 | address | Anchorage Municipality | 02020 | complete |
| TK Elevator | https://www.tkelevator.com/us-en/service-areas/fl/sarasota | TK Elevator – Sarasota | Branch office | 6215A 29th St E | Bradenton | FL | 34203 | US | +19417534787 | https://www.tkelevator.com/us-en/service-areas/fl/sarasota | Mo,Tu,We,Th,Fr 08:00-17:00; Sa,Su 00:00-00:00 | Sarasota | Whether you need simple repairs, ongoing maintenance, or a full elevator system modernization our local experts in Florida provide comprehensive solutions to keep your elevators safe, efficient and reliable. | 27.431006 | -82.526868 | address | Manatee County | 12081 | complete |
| TK Elevator | https://www.tkelevator.com/us-en/service-areas/ma/boston | TK Elevator – Boston | Branch office | 295 University Avenue | Westwood | MA | 02090 | US | +18444275461 | https://www.tkelevator.com/us-en/service-areas/ma/boston | Mo,Tu,We,Th,Fr 08:00-17:00; Sa,Su 00:00-00:00 | Boston | Whether you need simple repairs, ongoing maintenance, or a full elevator system modernization our local experts in Massachusetts provide comprehensive solutions to keep your elevators safe, efficient and reliable. | 42.201345 | -71.154726 | address | Norfolk County | 25021 | complete |
| TK Elevator | https://www.tkelevator.com/us-en/service-areas/nd/north-dakota | TK Elevator – North Dakota | Branch office | 3021 39th Street Southwest Ste. B | Fargo | ND | 58104 | US | +18444275461 | https://www.tkelevator.com/us-en/service-areas/nd/north-dakota | Mo,Tu,We,Th,Fr 08:00-17:00; Sa,Su 00:00-00:00 | North Dakota | Whether you need simple repairs, ongoing maintenance, or a full elevator system modernization our local experts in North Dakota provide comprehensive solutions to keep your elevators safe, efficient and reliable. | 46.849807 | -96.847356 | address | Cass County | 38017 | complete |
| TK Elevator | https://www.tkelevator.com/us-en/service-areas/ri/rhode-island | TK Elevator – Rhode Island | Branch office | 44 Albion Road Suite 103 | Lincoln | RI | 02865 | US | +18444275461 | https://www.tkelevator.com/us-en/service-areas/ri/rhode-island | Mo,Tu,We,Th,Fr 08:00-17:00; Sa,Su 00:00-00:00 | Rhode Island | Whether you need simple repairs, ongoing maintenance, or a full elevator system modernization our local experts in Rhode Island provide comprehensive solutions to keep your elevators safe, efficient and reliable. | 41.948447 | -71.465455 | address | Providence County | 44007 | complete |
✓Where this data comes from
Each row names the public source it came from, so any record can be checked against where it was published.
September 29, 2026
File built
22 fields
Columns filled on at least 1% of rows
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Use this list from ChatGPT or Claude
No setup needed. Ask ChatGPT or Claude your question about the TK Elevator Branch Offices and give it this page: it can open https://locationlists.com/find?dataset=tk-elevator-branch-offices with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only Florida, the state with the most: https://locationlists.com/find?dataset=tk-elevator-branch-offices&state=FL
- Within 25 miles of Seattle, WA, the busiest area (3 today): https://locationlists.com/find?dataset=tk-elevator-branch-offices&near=Seattle+WA&radius=25
- Within a 30-minute drive of Seattle, WA: https://locationlists.com/find?dataset=tk-elevator-branch-offices&near=Seattle+WA&drive=30
- Every Elevator & Escalator Companies list combined, within 25 miles of Seattle, WA: https://locationlists.com/find?category=elevator-companies&near=Seattle+WA&radius=25
- Each one's nearest Schindler Elevator Offices, in Florida, with miles: https://locationlists.com/find?dataset=tk-elevator-branch-offices&state=FL&relate=nearest&k=1&b.dataset=schindler-elevator-offices&b.state=FL
- The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=tk-elevator-branch-offices
- In plain words: "TK Elevator Branch Offices in Florida": https://locationlists.com/find?q=TK+Elevator+Branch+Offices+in+Florida
- In plain words: "TK Elevator Branch Offices within 25 miles of Seattle, WA": https://locationlists.com/find?q=TK+Elevator+Branch+Offices+within+25+miles+of+Seattle%2C+WA
- In plain words: "TK Elevator Branch Offices within a 30-minute drive of Seattle, WA": https://locationlists.com/find?q=TK+Elevator+Branch+Offices+within+a+30-minute+drive+of+Seattle%2C+WA
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the TK Elevator Branch Offices list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 123 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=tk-elevator-branch-offices. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
Is this thyssenkrupp Elevator?
Yes. TK Elevator is the former thyssenkrupp Elevator business, renamed after thyssenkrupp sold it; these are its US branch offices.
Why do most rows share one phone number?
Most branch pages publish TK Elevator's national number rather than a local line. The file keeps what each page publishes.
Why are some service areas missing?
Some pages on TK Elevator's site describe a service area with no office of its own. Only branches with their own address are rows here.
How is this data cleaned?
Every rebuild runs the same steps and counts what each one changed. For the current file, rebuilt September 29, 2026 from tkelevator.com: Merged 0 duplicate listings that had the same business name, street address and ZIP code, keeping every filled-in detail from both (September 29, 2026). Unified 0 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 (September 29, 2026). Corrected 0 misspelled city names to the US Census Bureau place name for their ZIP code (September 29, 2026). Shortened 15 ZIP codes to the five-digit code every address filter expects, keeping the delivery-route segment in a column of its own (September 29, 2026). Added map coordinates to 123 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 (September 29, 2026). Set the county and its federal county code on 123 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 (September 29, 2026). Checked every map point against the state in its address and re-placed 0 points that fell outside that state (September 29, 2026). Flagged 0 addresses that are incomplete, a PO box, or missing a house number, in an address quality column (September 29, 2026). Checked that the row count, state count and field completeness published for this file were measured from the file itself (September 29, 2026).
Isn't this free on tkelevator.com?
The underlying records are public on tkelevator.com. What you pay for is the work between that public release and this file: shortened 15 ZIP codes, added coordinates to 123 listings, added the county to 123 listings, re-placed 0 misplaced map points, flagged 0 incomplete addresses and measured 123 rows. The current file was rebuilt September 29, 2026 from tkelevator.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%. 20 of 22 columns are filled on at least half the rows.