US EV Charging Stations (All Networks)
U.S. · 90,730 locations
There are 90,730 EV Charging Stations (All Networks) in the US as of October 2026. They are in all 50 states, DC and Puerto Rico. California has the most, with 21,580.
89,079 US electric vehicle charging stations across every network, from the federal Alternative Fuel Data Center's station register, with 100% coverage on both coordinates and street address.
More about this list
Each record carries the network operator, connector types, the count of DC fast and Level 2 ports, pricing where published, access type and the date the station opened. Port counts total 77,899 DC fast and 210,689 Level 2, and the file separates 83,497 publicly accessible stations from 5,582 private ones, so a fleet planner and a consumer-facing app can each take the slice they need. Charging infrastructure is the fastest-moving location category in the country: stations open weekly, networks merge and rebrand, and the transition to a common connector standard is reshuffling which vehicles can use which chargers. Site selection and real estate teams, utilities, fleet operators, EV manufacturers, hospitality and retail chains adding chargers, and the charging networks themselves all need a current national map rather than a snapshot.
#Count report
By state
These states add up to 90,023 of the 90,730 locations.
Over time
| File built | Locations |
|---|---|
| September 14, 2026 | 90,030 |
| October 11, 2026 | 90,754 |
| October 18, 2026 | 90,730 |
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | website | network | connector types | dc fast ports | level2 ports | level1 ports | pricing | access code | status | open date | facility type | src access days time | src access days time fr | src access detail code | src cards accepted | src date last confirmed | src ev charging units charging level | src ev charging units network | src ev charging units port count | src ev network | src ev network ids posts | src ev network ids station | src ev other evse | src ev renewable source | src ev workplace charging | src expected date | src federal agency code | src federal agency id | src federal agency name | src fuel type code | src funding sources | src geocode status | src groups with access code | src groups with access code fr | src intersection directions | src maximum vehicle class | src nps unit name | src owner type code | src related stations access code | src related stations fuel type code | src related stations id | src restricted access | src updated at | geo precision | county | county fips | county note | address quality | country | latitude | longitude | source | source id | source url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NOT A PUBLIC SITE - IONNA Customer Experience Center (@East) | Hillside Blvd | Adak | AK | 99546 | (833) 466-2474 | https://www.ionna.com | Ionna | J1772COMBO|TESLA | 8 | public | available | 2025-04-17 | source | Aleutians West Census Area | 02016 | no_house_number | US | 51.899819 | -176.636362 | NREL AFDC Station Locator API | 390105 | https://afdc.energy.gov/stations#/station/390105 | |||||||||||||||||||||||||||||||||||||
| Acworth, GA - Cobb Parkway Northwest - Tesla Supercharger | 3622 Cobb Pkwy NW | Acworth | GA | 30101 | (877) 798-3752 | https://www.tesla.com/supercharger | Tesla Supercharger | TESLA | 8 | public | available | 2024-08-29 | RESTAURANT | source | Cobb County | 13067 | complete | US | 34.044347 | -84.695867 | NREL AFDC Station Locator API | 355056 | https://afdc.energy.gov/stations#/station/355056 | ||||||||||||||||||||||||||||||||||||
| Arundel Ford | 1561 Portland Rd | Arundel | ME | 04046 | (888) 357-1009 | https://www.ford.com/support/category/electric-vehicle/charging/public-charging/ | Ford Charge | J1772COMBO | 4 | public | available | 2014-06-01 | PUBLIC | source | York County | 23031 | complete | US | 43.421178 | -70.515641 | NREL AFDC Station Locator API | 62831 | https://afdc.energy.gov/stations#/station/62831 | ||||||||||||||||||||||||||||||||||||
| BNE MASTER LINK 2 | 1101 Schindler | Aberdeen | NJ | 07747 | (888) 758-4389 | https://www.chargepoint.com | ChargePoint | J1772 | 2 | public | available | 2022-02-05 | source | Monmouth County | 34025 | complete | US | 40.420153 | -74.221685 | NREL AFDC Station Locator API | 205921 | https://afdc.energy.gov/stations#/station/205921 | |||||||||||||||||||||||||||||||||||||
| Best Western Ramkota Hotel - Tesla Destination | 1400 8th Ave NW | Aberdeen | SD | 57401 | (877) 798-3752 | https://www.tesla.com/destination-charging | Tesla Destination | TESLA | 3 | Free | public | available | 2015-11-09 | HOTEL | source | Brown County | 46013 | complete | US | 45.4747481 | -98.5090549 | NREL AFDC Station Locator API | 115558 | https://afdc.energy.gov/stations#/station/115558 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Business or facility name | 100% |
| network | Network | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | Two-letter state code | 100% |
| zip | ZIP code | 100% |
| country | Country code | 100% |
| phone | Phone number where published | 94% |
| website | Website where published | 91% |
| latitude | GPS latitude where published | 100% |
| longitude | GPS longitude where published | 100% |
| connector | Connector types | 100% |
| dc | Dc fast ports | 18% |
| level2 | Level2 ports | 82% |
| pricing | Pricing | 14% |
| access | Access code | 100% |
| status | Status | 100% |
| open | Open date | 99% |
| facility | Facility type | 24% |
| source | Which source the record came from | 100% |
| source | Source id | 100% |
| source | The public source this row came from | 100% |
| src_ | Src access days time | 93% |
| src_ | Src access detail code | 6% |
| src_ | Src cards accepted | 11% |
| src_ | Src date last confirmed | 99% |
| src_ | Src ev charging units charging level | 99% |
| src_ | Src ev charging units network | 99% |
| src_ | Src ev charging units port count | 99% |
| src_ | Src ev network | 99% |
| src_ | Src ev network ids posts | 74% |
| src_ | Src ev network ids station | 74% |
| src_ | Src ev workplace charging | 99% |
| src_ | Src expected date | 3% |
| src_ | Src federal agency code | 2% |
| src_ | Src federal agency id | 2% |
| src_ | Src federal agency name | 2% |
| src_ | Src fuel type code | 99% |
| src_ | Src geocode status | 99% |
| src_ | Src groups with access code | 99% |
| src_ | Src groups with access code fr | 99% |
| src_ | Src intersection directions | 29% |
| src_ | Src maximum vehicle class | 18% |
| src_ | Src owner type code | 25% |
| src_ | Src restricted access | 93% |
| src_ | Src updated at | 99% |
| 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 | 18% |
| 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.
60 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 EV Charging Stations (All Networks) and give it this page: it can open https://locationlists.com/find?dataset=ev-charging-station-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 California, the state with the most: https://locationlists.com/find?dataset=ev-charging-station-list&state=CA
- Within 25 miles of Los Angeles, CA, the busiest area: https://locationlists.com/find?dataset=ev-charging-station-list&near=Los+Angeles+CA&radius=25
- Within a 30-minute drive of Los Angeles, CA: https://locationlists.com/find?dataset=ev-charging-station-list&near=Los+Angeles+CA&drive=30
- Every Car Washes & EV Charging list combined, within 25 miles of East Los Angeles, CA: https://locationlists.com/find?category=auto-services&near=East+Los+Angeles+CA&radius=25
- Each one's nearest Auto Repair Shops (Chains & Affiliate Networks), in California, with miles: https://locationlists.com/find?dataset=ev-charging-station-list&state=CA&relate=nearest&k=1&b.dataset=auto-repair-shop-list&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=ev-charging-station-list - In plain words: "US EV Charging Stations (All Networks) in California": https://locationlists.com/find?q=US+EV+Charging+Stations+(All+Networks)+in+California
- In plain words: "US EV Charging Stations (All Networks) within 25 miles of Los Angeles, CA": https://locationlists.com/find?q=US+EV+Charging+Stations+(All+Networks)+within+25+miles+of+Los+Angeles%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 US EV Charging Stations (All Networks) 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=ev-charging-station-list with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "ev-charging-station-list"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $0.27 per 100 rows from this dataset. Above 45,365 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 EV Charging Stations (All Networks) are there in the US?
There are 90,730 EV Charging Stations (All Networks) in the US as of October 2026. They are in all 50 states, DC and Puerto Rico. California has the most, with 21,580.
Where does this come from?
The Alternative Fuel Data Center station locator, maintained by the US Department of Energy. It is the authoritative national register, it is free, and critically it tags every station with its network operator, which is what makes per-network cuts possible.
Does the count line up with published figures?
Yes. Filtering to public and available stations gives 81,461, which sits right where the commonly cited 70,000 to 80,000 range would be expected to have grown to. The larger headline of 89,079 also includes private stations and ones listed as planned or temporarily down, each identified by the access and status columns.
Can I get one network on its own?
Yes, we publish the major networks as separate datasets — ChargePoint, Tesla, Blink, EVgo, Electrify America, Flo and others — because most buyers care about one operator's footprint or about the non-networked stations.