Otis Elevator Offices
U.S., Puerto Rico & Guam Location Dataset // 193
Every office on Otis Elevator's US contact page, which lists the company's local offices state by state. Each row has the office name, street address and suite, city, ZIP and phone (98% of rows). Otis publishes no coordinates, so the address was matched with the US Census geocoder: 193 offices at address level, 10 at their ZIP's centre, and 2 (Puerto Rico, and Guam, Saipan and Palau) without a point, because the Census geocoder does not reach them. The contact page groups offices by the region they serve rather than by where they sit — its Wyoming section holds an office in Colorado — so the state column is the office's own state, taken from the geocoder's match, the address line, or the section heading only when neither applies; stateFrom says which, and stateSection keeps the page's heading. County and county FIPS are added for US rows. Every state except Delaware and Wyoming has an office, and so do DC, Puerto Rico and Guam.
What we did to this data: Corrected 7 misspelled city names, added coordinates to 191 listings, added the county to 191 listings, re-placed 0 misplaced map points, flagged 4 incomplete addresses and measured 193 rows. Rebuilt September 29, 2026 from otis.com.
How complete the key fields are: phone 98%, website 100%, street address 100%, city 100%, state 100%, ZIP code 100%, latitude 99%, longitude 99%. 21 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. 1 of 22 fields are populated on under half the rows (county_note).
How complete each column is
| Column | Rows filled |
|---|---|
| company | 100% |
| name | 100% |
| locationType | 100% |
| address | 100% |
| address2 | 51% |
| city | 100% |
| state | 100% |
| zip | 100% |
| country | 100% |
| phone | 98% |
| website | 100% |
| sourceUrl | 100% |
| operatingName | 100% |
| stateFrom | 100% |
| stateSection | 100% |
| latitude | 99% |
| longitude | 99% |
| geo_precision | 99% |
| county | 99% |
| county_fips | 99% |
| county_note | 14% |
| address_quality | 100% |
≡Sample Data Preview
| company | sourceUrl | name | locationType | address | address2 | city | state | zip | country | phone | website | operatingName | stateFrom | stateSection | latitude | longitude | geo_precision | county | county_fips | address_quality |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Otis | https://www.otis.com/en/us/contact-us | Otis – Anchorage | Office | 619 E Ship Creek Ave | Suite 301 | Anchorage | AK | 99501 | US | (907) 278-4575 | https://www.otis.com/en/us/contact-us | Anchorage | Census geocoder | Alaska | 61.222788 | -149.872177 | address | Anchorage Municipality | 02020 | complete |
| Otis | https://www.otis.com/en/us/contact-us | Otis – Guam, Saipan and Palau | Office | 846 Marine Drive, Upper Tumon, Eva | Bldg #3, Unit 304 | Tamuning | GU | 96913 | US | (671) 647-6847 | https://www.otis.com/en/us/contact-us | Guam, Saipan and Palau | state section | Guam | complete | |||||
| Otis | https://www.otis.com/en/us/contact-us | Otis – Ocean City/Southern Delaware | Office | 12010 Todd Industrial Park Dr | Bishopville | MD | 21813 | US | 667-400-3667 | https://www.otis.com/en/us/contact-us | Ocean City/Southern Delaware | Census geocoder | Maryland | 38.421884 | -75.137910 | address | Worcester County | 24047 | complete | |
| Otis | https://www.otis.com/en/us/contact-us | Otis – Manchester | Office | 915 Holt Ave | Suite 5 | Manchester | NH | 03109 | US | (603) 622-2101 | https://www.otis.com/en/us/contact-us | Manchester | Census geocoder | New Hampshire | 42.977795 | -71.405114 | address | Hillsborough County | 33011 | complete |
| Otis | https://www.otis.com/en/us/contact-us | Otis – Providence | Office | 9 Rocky Hill Road | Suite C | Smithfield | RI | 02917 | US | (401) 232-7282 | https://www.otis.com/en/us/contact-us | Providence | Census geocoder | Rhode Island | 41.930214 | -71.497678 | 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 Otis Elevator Offices and give it this page: it can open https://locationlists.com/find?dataset=otis-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=otis-elevator-offices&state=CA
- Within 25 miles of New York, NY, the busiest area (5 today): https://locationlists.com/find?dataset=otis-elevator-offices&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=otis-elevator-offices&near=New+York+NY&drive=30
- Every Elevator & Escalator Companies list combined, within 25 miles of New York, NY: https://locationlists.com/find?category=elevator-companies&near=New+York+NY&radius=25
- Each one's nearest TK Elevator Branch Offices, in California, with miles: https://locationlists.com/find?dataset=otis-elevator-offices&state=CA&relate=nearest&k=1&b.dataset=tk-elevator-branch-offices&b.state=CA
- The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=otis-elevator-offices
- In plain words: "Otis Elevator Offices in California": https://locationlists.com/find?q=Otis+Elevator+Offices+in+California
- In plain words: "Otis Elevator Offices within 25 miles of New York, NY": https://locationlists.com/find?q=Otis+Elevator+Offices+within+25+miles+of+New+York%2C+NY
- In plain words: "Otis Elevator Offices within a 30-minute drive of New York, NY": https://locationlists.com/find?q=Otis+Elevator+Offices+within+a+30-minute+drive+of+New+York%2C+NY
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 Otis Elevator Offices list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 193 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=otis-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
Are these offices or service territories?
Offices: each row is an Otis office with its own street address and phone. The contact page groups them by the region they serve, which is kept in stateSection, while the state column is where the office itself is.
Does it include Puerto Rico and Guam?
Yes. One office in Puerto Rico and one covering Guam, Saipan and Palau. Neither has coordinates, because the free Census geocoder does not cover them.
Where do the coordinates come from?
Otis publishes none, so each address was geocoded with the US Census geocoder. geo_precision says whether a row was placed at its street address or at its ZIP's centre.
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 otis.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 7 misspelled city names to the US Census Bureau place name for their ZIP code (September 29, 2026). Added map coordinates to 191 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 191 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 4 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 otis.com?
The underlying records are public on otis.com. What you pay for is the work between that public release and this file: corrected 7 misspelled city names, added coordinates to 191 listings, added the county to 191 listings, re-placed 0 misplaced map points, flagged 4 incomplete addresses and measured 193 rows. The current file was rebuilt September 29, 2026 from otis.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 98%, website 100%, street address 100%, city 100%, state 100%, ZIP code 100%, latitude 99%, longitude 99%. 21 of 22 columns are filled on at least half the rows.