Charger-to-EV Ratios by State
How well each state is keeping pace with EV adoption, measured at the port level across publicly-accessible chargers only. Lower is better for the per-port columns: fewer EVs per port means more capacity available for the average driver.
National baseline (2024)
What's a healthy ratio?
Reading these numbers as a station owner or developer:
- High EVs / DCFC port (>300) — under-served. The federal NEVI program targets roughly 200 EVs per DCFC port at a healthy network; states well above that line are signaling capacity gaps and a clearer greenfield opportunity, especially along corridors and in tertiary cities.
- Mid (100–300 EVs / DCFC port) — healthy capacity for current adoption. New sites should differentiate on uptime, amenity density, and 150+ kW power rather than raw count, particularly in metros.
- Low (<100 EVs / DCFC port) — saturated or built ahead of demand. Returns hinge on driver loyalty and reliability; expect lower utilization until adoption catches up.
- Watch the BEVs / DCFC column — PHEVs use DC fast charging at much lower rates than BEVs, so this column is the cleaner read on actual road-trip pressure on the network.
Population density matters: a “high” ratio in Wyoming reflects a tiny EV fleet on a small port count, while the same number in Florida means real saturation. Use the state column as a peer-set filter.
All 50 states + DC
Click any column header to re-sort
| # | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Wyoming (WY) | 2,500 | 1,500 | 116 | 205 | 7.8 | 21.6 | 12.2 | 7.3 |
| 2 | North Dakota (ND) | 2,300 | 1,300 | 103 | 187 | 7.9 | 22.3 | 12.3 | 7 |
| 3 | South Dakota (SD) | 4,000 | 2,300 | 130 | 213 | 11.7 | 30.8 | 18.8 | 10.8 |
| 4 | West Virginia (WV) | 6,000 | 3,800 | 235 | 289 | 11.4 | 25.5 | 20.8 | 13.1 |
| 5 | Montana (MT) | 8,800 | 5,600 | 195 | 333 | 16.7 | 45.1 | 26.4 | 16.8 |
| 6 | Mississippi (MS) | 7,300 | 4,900 | 174 | 246 | 17.4 | 42 | 29.7 | 19.9 |
| 7 | Alaska (AK) | 4,500 | 3,400 | 111 | 148 | 17.4 | 40.5 | 30.4 | 23 |
| 8 | Delaware (DE) | 15,700 | 11,100 | 256 | 390 | 24.3 | 61.3 | 40.3 | 28.5 |
| 9 | Iowa (IA) | 19,000 | 11,700 | 223 | 470 | 27 | 85.2 | 40.4 | 24.9 |
| 10 | Maine (ME) | 18,900 | 9,700 | 244 | 421 | 28.4 | 77.5 | 44.9 | 23 |
| 11 | New Mexico (NM) | 18,800 | 13,000 | 226 | 416 | 29.3 | 83.2 | 45.2 | 31.3 |
| 12 | Alabama (AL) | 24,300 | 17,500 | 200 | 526 | 32.9 | 121.5 | 46.2 | 33.3 |
| 13 | Oklahoma (OK) | 56,900 | 22,600 | 246 | 1,221 | 38.8 | 231.3 | 46.6 | 18.5 |
| 14 | Nebraska (NE) | 13,800 | 9,100 | 269 | 232 | 27.4 | 51.3 | 59.5 | 39.2 |
| 15 | Kansas (KS) | 21,100 | 14,500 | 282 | 320 | 35 | 74.8 | 65.9 | 45.3 |
| 16 | Idaho (ID) | 16,600 | 11,000 | 283 | 251 | 31.1 | 58.7 | 66.1 | 43.8 |
| 17 | South Carolina (SC) | 37,900 | 26,800 | 251 | 567 | 45.2 | 151 | 66.8 | 47.3 |
| 18 | Indiana (IN) | 49,900 | 34,600 | 239 | 726 | 51.6 | 208.8 | 68.7 | 47.7 |
| 19 | Arkansas (AR) | 13,300 | 9,500 | 296 | 181 | 27.9 | 44.9 | 73.5 | 52.5 |
| 20 | Kentucky (KY) | 21,400 | 15,000 | 289 | 288 | 37.1 | 74 | 74.3 | 52.1 |
| 21 | Vermont (VT) | 17,100 | 10,200 | 391 | 226 | 27.7 | 43.7 | 75.7 | 45.1 |
| 22 | Connecticut (CT) | 61,900 | 39,400 | 820 | 784 | 38.5 | 75.5 | 79 | 50.3 |
| 23 | Tennessee (TN) | 55,400 | 42,600 | 276 | 689 | 57.2 | 200.7 | 80.4 | 61.8 |
| 24 | Nevada (NV) | 79,000 | 65,600 | 255 | 973 | 64.3 | 309.8 | 81.2 | 67.4 |
| 25 | Michigan (MI) | 109,400 | 75,800 | 477 | 1,320 | 60.1 | 229.4 | 82.9 | 57.4 |
| 26 | New Hampshire (NH) | 20,900 | 12,700 | 253 | 252 | 41.3 | 82.6 | 82.9 | 50.4 |
| 27 | Wisconsin (WI) | 47,400 | 32,300 | 311 | 551 | 54.4 | 152.4 | 86 | 58.6 |
| 28 | Missouri (MO) | 51,000 | 34,200 | 386 | 563 | 53.7 | 132.1 | 90.6 | 60.7 |
| 29 | Georgia (GA) | 146,400 | 120,000 | 491 | 1,509 | 73.2 | 298.2 | 97 | 79.5 |
| 30 | Rhode Island (RI) | 14,300 | 8,300 | 258 | 141 | 35.8 | 55.4 | 101.4 | 58.9 |
| 31 | Virginia (VA) | 139,500 | 107,400 | 369 | 1,363 | 80.1 | 378 | 102.3 | 78.8 |
| 32 | Oregon (OR) | 111,600 | 78,400 | 451 | 1,018 | 75.4 | 247.5 | 109.6 | 77 |
| 33 | Utah (UT) | 67,700 | 52,200 | 386 | 600 | 68.5 | 175.4 | 112.8 | 87 |
| 34 | Arizona (AZ) | 140,500 | 111,200 | 310 | 1,237 | 90.5 | 453.2 | 113.6 | 89.9 |
| 35 | Minnesota (MN) | 67,500 | 47,400 | 414 | 591 | 66.4 | 163 | 114.2 | 80.2 |
| 36 | Texas (TX) | 359,400 | 294,700 | 471 | 3,147 | 99.1 | 763.1 | 114.2 | 93.6 |
| 37 | North Carolina (NC) | 119,300 | 91,000 | 448 | 1,028 | 80.4 | 266.3 | 116.1 | 88.5 |
| 38 | Pennsylvania (PA) | 137,500 | 89,900 | 377 | 1,153 | 89.6 | 364.7 | 119.3 | 78 |
| 39 | Massachusetts (MA) | 143,300 | 91,100 | 325 | 1,174 | 95.6 | 440.9 | 122.1 | 77.6 |
| 40 | Colorado (CO) | 175,700 | 127,000 | 522 | 1,433 | 89.9 | 336.6 | 122.6 | 88.6 |
| 41 | New York (NY) | 279,500 | 168,100 | 872 | 2,013 | 96.7 | 320.5 | 138.8 | 83.5 |
| 42 | Maryland (MD) | 131,500 | 94,900 | 696 | 942 | 80.1 | 188.9 | 139.6 | 100.7 |
| 43 | California (CA) | 1,981,000 | 1,533,900 | 2,017 | 12,480 | 135.5 | 982.2 | 158.7 | 122.9 |
| 44 | Florida (FL) | 405,200 | 334,800 | 403 | 2,501 | 139.4 | 1,005.5 | 162 | 133.9 |
| 45 | New Jersey (NJ) | 225,400 | 173,800 | 300 | 1,336 | 137.3 | 751.3 | 168.7 | 130.1 |
| 46 | Washington (WA) | 239,900 | 191,400 | 566 | 1,305 | 126.9 | 423.9 | 183.8 | 146.7 |
| 47 | Illinois (IL) | 165,900 | 125,500 | 285 | 830 | 148.5 | 582.1 | 199.9 | 151.2 |
| 48 | District of Columbia (DC) | 14,400 | 10,100 | 342 | 58 | 35.8 | 42.1 | 248.3 | 174.1 |
| 49 | Ohio (OH) | 99,100 | 69,400 | 294 | 214 | 195.1 | 337.1 | 463.1 | 324.3 |
| 50 | Hawaii (HI) | 38,600 | 29,900 | 318 | 44 | 104 | 121.4 | 877.3 | 679.5 |
| 51 | Louisiana (LA) | 16,200 | 11,600 | 0 | 0 | — | — | — | — |
Sorted ascending — fewer EVs per port = more available capacity.
Numbers reflect publicly-accessible charging only (private/workplace/fleet sites excluded). Port counts are individual L2 or DCFC ports — a site with 8 DCFC ports contributes 8, not 1. EV count is BEV+PHEV combined; BEV-only is shown separately. Registration data is the latest annual AFDC/Experian snapshot. Port counts reflect what upstream sources report — undercounts are more likely than overcounts where per-port detail is sparse.
Data sources
- AFDC vehicle registrations (Experian Information Solutions) — state-level BEV/PHEV counts.
- SpotCharge directory — live site and port counts merged from OpenChargeMap, AFDC stations, and OpenStreetMap.