United Rentals
U.S. · 1,401 locations
United Rentals is the world's largest equipment rental company, operating 1,401 branch locations across the United States. Their branches serve construction, industrial, and infrastructure projects with heavy equipment, aerial platforms, power generation, and climate control solutions.
More about this list
This dataset is essential for construction market researchers, industrial suppliers evaluating distribution coverage, competitive analysts studying the equipment rental landscape, and logistics teams planning material delivery to job sites near rental hubs. Each record includes the branch name, full address, phone number, and GPS coordinates sourced from United Rentals' official branch locator. Updated weekly to reflect the current network.
The file has all 1,401 locations across 50 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | branch id | manager name | business type | branch url | geo precision | county | county fips | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Equipment & Tool Rentals | 9760 OLD SEWARD HWY | Anchorage | AK | 99515 | (907) 349-4425 | 854 | Mark Passard | GR | https://www.unitedrentals.com/locations/ak/anchorage/equipment-tool-rentals/854 | source | Anchorage Municipality | 02020 | complete | US | 61.132328 | -149.865583 | |
| Equipment & Tool Rentals | 2108 E LINCOLN WAY | Ames | IA | 50010 | (515) 233-2100 | Q18 | Andrew Erickson | GR | https://www.unitedrentals.com/locations/ia/ames/equipment-tool-rentals/q18 | source | Story County | 19169 | complete | US | 42.021737 | -93.583827 | |
| Trench Safety | 11565 48TH AVE | Allendale | MI | 49401 | (616) 359-3116 | BMB | Tyler Swainston | TS | https://www.unitedrentals.com/locations/mi/allendale/trench-safety-rentals/bmb | source | Ottawa County | 26139 | complete | US | 42.978979 | -85.905178 | |
| Equipment & Tool Rentals | 2401 MENAUL BLVD NE | Albuquerque | NM | 87107 | (505) 884-6565 | 564 | Amilia Padilla | GR | https://www.unitedrentals.com/locations/nm/albuquerque/equipment-tool-rentals/564 | source | Bernalillo County | 35001 | complete | US | 35.109551 | -106.617065 | |
| Equipment & Tool Rentals | 1950 DEADWOOD AVE | Rapid City | SD | 57702 | (605) 342-7350 | 421 | Collin Leir | GR | https://www.unitedrentals.com/locations/sd/rapid-city/equipment-tool-rentals/421 | source | Pennington County | 46103 | ZIP 57702 spans 2 counties; assigned to the county holding 94% of its land area | complete | US | 44.102772 | -103.270045 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| branch | Branch id | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Store phone number | 100% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| manager | Manager name | 100% |
| business | Business type | 100% |
| branch | Branch url | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| county_ | How the county was found, where it was not given by the source | 24% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from United Rentals's own public branch locator, the system behind the “find a branch” page on their website.
October 11, 2026
File built · Rebuilt weekly on an automatic schedule.
18 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the United Rentals Locations and give it this page: it can open https://locationlists.com/find?dataset=united-rentals-stores 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 Texas, the state with the most: https://locationlists.com/find?dataset=united-rentals-stores&state=TX
- Within 25 miles of Houston, TX, the busiest area: https://locationlists.com/find?dataset=united-rentals-stores&near=Houston+TX&radius=25
- Within a 30-minute drive of Houston, TX: https://locationlists.com/find?dataset=united-rentals-stores&near=Houston+TX&drive=30
- Every Industrial Supply & Rental list combined, within 25 miles of Houston, TX: https://locationlists.com/find?category=industrial-supply-rental&near=Houston+TX&radius=25
- Each one's nearest Sunbelt Rentals Locations, in Texas, with miles: https://locationlists.com/find?dataset=united-rentals-stores&state=TX&relate=nearest&k=1&b.dataset=sunbelt-rentals-stores&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=united-rentals-stores - In plain words: "United Rentals Locations in Texas": https://locationlists.com/find?q=United+Rentals+Locations+in+Texas
- In plain words: "United Rentals Locations within 25 miles of Houston, TX": https://locationlists.com/find?q=United+Rentals+Locations+within+25+miles+of+Houston%2C+TX
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 United Rentals Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,401 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=united-rentals-stores. 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
What data fields are in the United Rentals branch CSV?
Each row includes branch name, street address, city, state, ZIP code, phone number, GPS latitude/longitude, branch page URL, and country code. Standard CSV format for direct import into any CRM, mapping tool, or database.
How often is the United Rentals location data updated?
File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.
We manufacture construction attachments and want to sell into United Rentals. How does this branch data help?
United Rentals' 1,401 branches represent the single largest rental fleet in the US. Mapping their network shows you where equipment density is highest — those are the branches moving the most iron and the ones most likely to need specialized attachments. The dataset gives you every branch address and phone for outreach. For a strategic approach, our team can identify branch clusters in your target construction markets and help you build a prioritized sales plan by region.
How does United Rentals' branch footprint compare to Sunbelt Rentals?
United Rentals operates 1,401 branches versus Sunbelt Rentals' 1,266 — they're the two dominant players in the US equipment rental market. Their branch placement strategies differ, with United Rentals tending toward larger metro markets and major construction corridors. We maintain both datasets and can deliver a head-to-head overlap analysis showing where they compete directly, where each has exclusive coverage, and which markets are underserved by both — critical intelligence for anyone selling into the rental channel.
We're a general contractor bidding on a large infrastructure project. Can we use this data to evaluate rental equipment availability near the job site?
Absolutely. Plot the 1,401 United Rentals branches against your project location to find the nearest branches and evaluate what's within a reasonable haul distance. For large projects, having multiple rental branches nearby ensures fleet availability and fast service response. Our consulting team can extend this analysis to cover United Rentals, Sunbelt, and regional rental companies simultaneously, giving you a complete rental logistics picture for any project site.
We're evaluating the construction equipment rental market for an investment thesis. What does the branch data reveal about market structure?
United Rentals' 1,401 branches provide a geographic fingerprint of where construction activity concentrates in the US. Overlaying this with Sunbelt Rentals (1,293 branches) and regional players shows market consolidation patterns and identifies metros where independent rental companies still hold share. Our team can build a comprehensive market structure analysis combining branch density, population growth corridors, and infrastructure spending data to inform your investment perspective.