# Rent-A-Center Locations — U.S. location dataset

All 1,956 locations in the U.S., as one CSV: 16 fields per record, 46 states, file built September 20, 2026. $19 one-time, with up to 10 real rows free before you buy.

Canonical URL: https://locationlists.com/data/rent-a-center-stores

Rent-A-Center operates 1,962 rent-to-own storefronts across the U.S., making it the largest brick-and-mortar RTO chain by unit count — roughly 2x the footprint of its closest physical competitor, Aaron's, which has been aggressively closing stores since its 2020 PROG Holdings spinoff. Now a subsidiary of Upbound Group (rebranded 2023), Rent-A-Center's store network is deliberately concentrated in census tracts with above-average renter populations and below-median household incomes, functioning as a de facto credit channel for the ~45 million U.S. adults classified as credit-invisible or subprime. The stores skew heavily toward strip-mall inline placements rather than standalone pads, often co-tenanting with dollar stores, check-cashing outlets, and discount grocers — a clustering pattern that reveals trade-area demographics more reliably than zip-code-level proxies alone. This dataset is essential for consumer finance fintechs mapping underbanked population density, furniture and appliance manufacturers evaluating RTO wholesale channel potential, and commercial real estate analysts studying strip-mall tenant resilience in Class C retail corridors.

## The figures

- Records: 1,956 locations
- States: 46
- Coverage: U.S.
- Fields: 16
- Price: $19 one-time, CSV download, commercial license (https://locationlists.com/license)
- File built on September 20, 2026. Not on an automatic refresh schedule.
- File last modified: 2026-09-20

The file has all 1,956 locations across 46 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.

## Fields

- `name`: Store name and number
- `address`: Street address
- `city`: City name
- `state`: Two-letter state code
- `zip`: 5-digit ZIP code
- `country`: Country code (US)
- `phone`: Store phone number
- `latitude`: GPS latitude coordinate
- `longitude`: GPS longitude coordinate
- `url`
- `geo_precision`
- `county`: County, where the source publishes it
- `county_fips`
- `address_quality`
- `county_note`
- `zip4`

## 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 Texas, the state with the most](https://locationlists.com/find?dataset=rent-a-center-stores&state=TX)
- [Within 25 miles of Dallas, TX, the busiest area](https://locationlists.com/find?dataset=rent-a-center-stores&near=Dallas+TX&radius=25)
- [Within a 30-minute drive of Dallas, TX](https://locationlists.com/find?dataset=rent-a-center-stores&near=Dallas+TX&drive=30)
- [Every Specialty Retail list combined, within 25 miles of Duncanville, TX](https://locationlists.com/find?category=specialty-retail&near=Duncanville+TX&radius=25)
- [Each one's nearest GameStop Locations, in Texas, with miles](https://locationlists.com/find?dataset=rent-a-center-stores&state=TX&relate=nearest&k=1&b.dataset=gamestop-stores&b.state=TX)
- [The whole list: add a city, state, ZIP code or distance](https://locationlists.com/find?dataset=rent-a-center-stores)

## The same dataset, for machines

- Record as JSON: https://locationlists.com/data/rent-a-center-stores/dataset.json
- Free sample, up to 10 real rows: https://locationlists.com/data/rent-a-center-stores/sample.csv or https://locationlists.com/data/rent-a-center-stores/sample.json
- Buy link (opens Stripe Checkout): https://locationlists.com/data/rent-a-center-stores/buy

## Questions

### How does Rent-A-Center's 1,962-store footprint compare to Aaron's, and what does the gap mean for RTO market coverage analysis?

Rent-A-Center's network is roughly double the size of Aaron's remaining ~1,000 stores, a gap that widened significantly after Aaron's accelerated closures post-PROG Holdings spinoff. For anyone modeling RTO market coverage — say, a fintech building a virtual lease-to-own product — this dataset identifies the physical anchor points where RTO demand is already validated. If you need an overlay of both chains to find white-space or overlap markets, LocationLists can produce a custom co-location analysis.

### I'm a furniture manufacturer evaluating rent-to-own as a wholesale channel. How can this data help me prioritize which Rent-A-Center regions to pitch first?

The dataset's geocoordinates let you cluster stores by DMA or state to quantify regional density — Texas, Florida, and the Southeast corridor typically have the highest concentrations, reflecting Rent-A-Center's historical expansion from its Plano, TX headquarters outward. Cross-referencing store density against your own distribution footprint identifies regions where logistics costs would be lowest. LocationLists can also run a territory optimization layer that ranks DMAs by store count per capita if you need a ready-to-present heat map.

### Can this dataset help identify the demographic profile of Rent-A-Center trade areas without buying separate census data?

Indirectly, yes — and powerfully. Because Rent-A-Center's site-selection model is tightly calibrated to subprime and credit-thin populations, the geocoordinates in this dataset function as a proxy index for underbanked consumer density. Joining these 1,962 lat/long pairs to Census Bureau ACS block-group data (freely available) gives you a ready-made demographic profile of RTO-viable trade areas across the country.

### I'm analyzing strip-mall tenant resilience for a CMBS portfolio. How does Rent-A-Center's store mix compare to co-tenants like Dollar General or CVS?

Rent-A-Center stores overwhelmingly occupy Class B/C strip centers rather than anchored power centers, making them a bellwether for the lower end of the inline retail market. LocationLists already catalogs CVS Pharmacy and several other national tenants; a custom overlap report can show you which shopping centers pair Rent-A-Center with specific co-tenants, giving you a co-tenancy risk or stability score per property. This is especially useful for identifying centers where multiple credit-sensitive tenants cluster.

### Has Rent-A-Center's physical footprint been growing or shrinking, and does this dataset reflect the Acima virtual pivot?

Rent-A-Center's corporate store count has been gradually contracting — down from roughly 2,400 units a decade ago to the current 1,962 — as Upbound Group shifts growth investment toward Acima, its virtual lease-to-own platform embedded in third-party retailers. This dataset captures the physical storefront network only, which remains the profit engine for the traditional RTO segment. The contraction pattern itself is analytically valuable: comparing current locations to historical footprints reveals which trade areas Rent-A-Center deemed unviable.

### We're a state consumer-protection agency studying rent-to-own concentration. Can we get this data broken down by state with store-per-capita ratios?

The raw dataset includes full state-level detail for all 1,956 locations, so generating per-capita ratios is straightforward once joined to state population tables. States like Texas, Alabama, and Mississippi typically show the highest RTO store density per 100,000 residents, which correlates with more permissive RTO regulatory frameworks. LocationLists can deliver a pre-processed state-level summary with density calculations as a custom deliverable if your team needs an analysis-ready format.