KONE Elevator Offices
U.S. & U.S. Virgin Islands Location Dataset // 82
Every branch office KONE publishes on kone.us, KONE's US site. Each row has the office's name, street address, city, state, ZIP, phone, the coordinates KONE's own office map uses, and a link to the office's page, with county and county FIPS added. revisionDate is when KONE last edited the office record. The one office outside the 39 states is in the US Virgin Islands; one non-US office in KONE's feed (The Hague) is left out.
What we did to this data: Unified 1 city spellings, standardised 1 state codes, shortened 5 ZIP codes, added the county to 81 listings, re-placed 0 misplaced map points, flagged 1 incomplete addresses and measured 82 rows. Rebuilt September 29, 2026 from tridion.kone.us.
How complete the key fields are: phone 100%, website 100%, street address 100%, city 100%, state 100%, ZIP code 100%, latitude 100%, longitude 100%. 19 of 21 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 21 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% |
| latitude | 100% |
| longitude | 100% |
| sourceUrl | 100% |
| branchName | 100% |
| revisionDate | 100% |
| geo_precision | 100% |
| county | 99% |
| county_fips | 99% |
| county_note | 11% |
| address_quality | 100% |
| zip4 | 6% |
≡Sample Data Preview
| company | sourceUrl | name | locationType | address | city | state | zip | country | phone | website | latitude | longitude | branchName | revisionDate | geo_precision | county | county_fips | county_note | address_quality |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KONE | https://tridion.kone.us/api/dynamic/?schema=Office | KONE Elevators & Escalators of Birmingham | Office | 265 Lyon Lane | Birmingham | AL | 35211 | US | 205-944-1032 | https://www.kone.us/about-us/contact-us/branch-offices/birmingham/ | 33.454092 | -86.861092 | Birmingham | 2016-11-09T17:40:30 | source | Jefferson County | 01073 | complete | |
| KONE | https://tridion.kone.us/api/dynamic/?schema=Office | KONE Elevators & Escalators of Honolulu | Office | 3375 Koapaka Street, Suite D160 | Honolulu | HI | 96819 | US | 808-833-3299 | https://www.kone.us/about-us/contact-us/branch-offices/honolulu/ | 21.336098 | -157.917501 | Honolulu | 2016-11-09T19:27:29 | source | Honolulu County | 15003 | complete | |
| KONE | https://tridion.kone.us/api/dynamic/?schema=Office | KONE Elevators & Escalators of Washington DC | Office | 6901 Muirkirk Meadows Drive | Beltsville | MD | 20705 | US | 301-459-8660 | https://www.kone.us/about-us/contact-us/branch-offices/washington-dc/ | 39.062319 | -76.887506 | Washington DC | 2016-11-10T13:27:07 | source | Prince George's County | 24033 | ZIP 20705 spans 2 counties; assigned to the county holding 99% of its land area | complete |
| KONE | https://tridion.kone.us/api/dynamic/?schema=Office | KONE Elevators & Escalators of Philadelphia | Office | 115 Twinbridge Drive, Units F, G & H | Pennsauken | NJ | 08110 | US | 856-488-8830 | https://www.kone.us/about-us/contact-us/branch-offices/philadelphia/ | 39.985207 | -75.023097 | Philadelphia | 2017-02-23T16:47:53 | source | Camden County | 34007 | complete | |
| KONE | https://tridion.kone.us/api/dynamic/?schema=Office | KONE Elevators & Escalators of Sioux Falls | Office | 2511 West 5th Street | Sioux Falls | SD | 57104 | US | 605-336-1578 | https://www.kone.us/about-us/contact-us/branch-offices/sioux-falls/ | 43.551983 | -96.759139 | Sioux Falls | 2016-11-10T12:54:16 | source | Minnehaha County | 46099 | 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
21 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 KONE Elevator Offices and give it this page: it can open https://locationlists.com/find?dataset=kone-elevator-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 California, the state with the most: https://locationlists.com/find?dataset=kone-elevator-offices&state=CA
- Within 25 miles of San Francisco, CA, the busiest area (2 today): https://locationlists.com/find?dataset=kone-elevator-offices&near=San+Francisco+CA&radius=25
- Within a 30-minute drive of San Francisco, CA: https://locationlists.com/find?dataset=kone-elevator-offices&near=San+Francisco+CA&drive=30
- Every Elevator & Escalator Companies list combined, within 25 miles of San Francisco, CA: https://locationlists.com/find?category=elevator-companies&near=San+Francisco+CA&radius=25
- Each one's nearest Schindler Elevator Offices, in California, with miles: https://locationlists.com/find?dataset=kone-elevator-offices&state=CA&relate=nearest&k=1&b.dataset=schindler-elevator-offices&b.state=CA
- The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=kone-elevator-offices
- In plain words: "KONE Elevator Offices in California": https://locationlists.com/find?q=KONE+Elevator+Offices+in+California
- In plain words: "KONE Elevator Offices within 25 miles of San Francisco, CA": https://locationlists.com/find?q=KONE+Elevator+Offices+within+25+miles+of+San+Francisco%2C+CA
- In plain words: "KONE Elevator Offices within a 30-minute drive of San Francisco, CA": https://locationlists.com/find?q=KONE+Elevator+Offices+within+a+30-minute+drive+of+San+Francisco%2C+CA
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 KONE Elevator Offices list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 82 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=kone-elevator-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 every KONE office in the US?
It is every office in the office list KONE's US site publishes, the same list behind its branch pages. One office in KONE's feed outside the US was left out.
Where do the coordinates come from?
From KONE's own office map, on every row.
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 tridion.kone.us: 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 1 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). Set the state on 1 listings to its two-letter US Postal Service code, matched to the US Census Bureau state register (or, for Canadian rows, the ISO province code) (September 29, 2026). Shortened 5 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 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 (September 29, 2026). Set the county and its federal county code on 81 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 1 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 tridion.kone.us?
The underlying records are public on tridion.kone.us. What you pay for is the work between that public release and this file: unified 1 city spellings, standardised 1 state codes, shortened 5 ZIP codes, added the county to 81 listings, re-placed 0 misplaced map points, flagged 1 incomplete addresses and measured 82 rows. The current file was rebuilt September 29, 2026 from tridion.kone.us. 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%. 19 of 21 columns are filled on at least half the rows.