US Dialysis Centers
U.S. · 7,490 locations
There are 7,490 Dialysis Centers in the US as of October 2026. They are in all 50 states, DC and Puerto Rico.
All 7,490 Medicare-certified dialysis facilities in the United States, with CMS Certification Number, street address, phone and ownership.
More about this list
Dialysis is the most concentrated corner of American healthcare, with two operators controlling the large majority of clinics, which makes the independent and hospital-based remainder a specific and reachable target for anyone selling equipment, supplies, water treatment, transport, staffing or software. Every patient on dialysis attends three times a week, so these are high-frequency, high-consumable sites with predictable purchasing. Certification means the file is authoritative and joins to the CMS quality data published for the same facilities. Refreshed weekly.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | facility type | sub type | ccn | ownership | beds | certified date | rating | chain name | county | geo precision | county fips | county note | address quality | source url | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Usrc Denali Dialysis | 360 BONIFACE PKWY Suite A11 | Anchorage | AK | 99504 | (907) 332-2400 | dialysis center | in-center hemodialysis | peritoneal | 022509 | Profit | 24 | 2012-11-29 | 5.0 | US Renal Care, Inc. | Anchorage Municipality | address | 02020 | complete | https://data.cms.gov/provider-data/sites/default/files/resources/c04d84bc5c641284494bee4f20f17f9c_1781625941/DFC_FACILITY.csv | 61.220937 | -149.778525 | |
| Fresenius Medical Care Acworth | 3372 Acworth Summit Blvd | Acworth | GA | 30101 | (770) 529-1141 | dialysis center | in-center hemodialysis | peritoneal | home hemodialysis training | 112849 | Profit | 33 | 2012-05-03 | 4.0 | Fresenius Medical Care | Cobb County | address | 13067 | ZIP 30101 spans 4 counties; assigned to the county holding 68% of its land area | complete | https://data.cms.gov/provider-data/sites/default/files/resources/c04d84bc5c641284494bee4f20f17f9c_1781625941/DFC_FACILITY.csv | 34.038090 | -84.677133 |
| DaVita Aberdeen Dialysis | 780 W Bel Air Ave | Aberdeen | MD | 21001 | (410) 273-9333 | dialysis center | in-center hemodialysis | 212650 | Profit | 15 | 2006-12-20 | 3.0 | DaVita | Harford County | address | 24025 | complete | https://data.cms.gov/provider-data/sites/default/files/resources/c04d84bc5c641284494bee4f20f17f9c_1781625941/DFC_FACILITY.csv | 39.519521 | -76.185956 | |
| Fresenius Kidney Care Claremont | 79 Washington St | Claremont | NH | 03743 | (603) 287-9025 | dialysis center | in-center hemodialysis | 302521 | Profit | 13 | 2024-10-23 | Fresenius Medical Care | Sullivan County | address | 33019 | complete | https://data.cms.gov/provider-data/sites/default/files/resources/c04d84bc5c641284494bee4f20f17f9c_1781625941/DFC_FACILITY.csv | 43.375871 | -72.333422 | ||
| DaVita Aiken Dialysis | 775 Medical Park Drive | Aiken | SC | 29801 | (803) 641-4222 | dialysis center | in-center hemodialysis | peritoneal | home hemodialysis training | 422512 | Profit | 22 | 1980-07-07 | 2.0 | DaVita | Aiken County | address | 45003 | complete | https://data.cms.gov/provider-data/sites/default/files/resources/c04d84bc5c641284494bee4f20f17f9c_1781625941/DFC_FACILITY.csv | 33.571930 | -81.764745 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Business or facility name | 100% |
| facility | Facility type | 100% |
| sub | Sub type | 100% |
| ccn | Ccn | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | Two-letter state code | 100% |
| zip | ZIP code | 100% |
| phone | Phone number where published | 100% |
| ownership | Ownership | 100% |
| beds | Beds | 100% |
| certified | Certified date | 100% |
| rating | Rating | 93% |
| chain | Chain name | 90% |
| county | County the location is in | 100% |
| source | The public source this row came from | 100% |
| latitude | GPS latitude where published | 100% |
| longitude | GPS longitude where published | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county_ | Five-digit federal code of that county | 100% |
| county_ | How the county was found, where it was not given by the source | 25% |
| 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
Each row names the public source it came from, so any record can be checked against where it was published.
October 18, 2026
File built · Rebuilt weekly on an automatic schedule.
22 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 US Dialysis Centers and give it this page: it can open https://locationlists.com/find?dataset=dialysis-center-list 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 rows where beds is over 22: https://locationlists.com/find?dataset=dialysis-center-list&where=beds%3Agt%3A22
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=dialysis-center-list
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 US Dialysis Centers list.Your assistant will walk you through setup and show you the price before you pay.
For developers
Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=dialysis-center-list with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "dialysis-center-list"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $1.05 per 100 rows from this dataset. Above 3,745 rows, buying the whole file is cheaper.
Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code
?Frequently Asked Questions
How many Dialysis Centers are there in the US?
There are 7,490 Dialysis Centers in the US as of October 2026. They are in all 50 states, DC and Puerto Rico.
Does it identify the big chains?
The ownership information CMS publishes is included, which in most cases identifies whether a facility belongs to a large operator, a hospital system or an independent. If you need a clean chain rollup we can provide it as an enrichment.
Are home dialysis programs included?
Facilities certified to train and support home dialysis appear as certified facilities. Patients dialysing at home are not locations and are not in any location dataset.
Why is this a good prospecting list?
Because consumption is relentless and predictable. Every center runs the same treatments on the same schedule every week, so supply, water treatment, maintenance and staffing needs are continuous rather than project-based.