Value explorer / MN
MN: the directory by county and ZIP
- 125,366
- practitioners
- 42.9%
- have a workplace
- 29,613
- provider organizations
- 28,024
- tax records (not added)
- 88
- counties
The bar is the share with a workplace listed, not the number of practitioners. Ranking by headcount would just rank by population.
| County | Practitioners | Has a workplace | Provider orgs | Tax records | ZIPs |
|---|---|---|---|---|---|
| +Hennepin County | 41,234 | 38.1% | 12,809 | 11,264 | 66 |
| +Ramsey County | 14,048 | 39.7% | 3,574 | 3,405 | 20 |
| +Olmsted County | 11,335 | 59.3% | 580 | 579 | 8 |
| +Dakota County | 11,080 | 41.6% | 1,920 | 1,877 | 16 |
| +Stearns County | 5,682 | 32.3% | 799 | 794 | 20 |
| +St. Louis County | 4,820 | 43.3% | 911 | 873 | 27 |
| +Anoka County | 4,694 | 39.8% | 952 | 947 | 12 |
| +Washington County | 4,242 | 37.1% | 867 | 956 | 16 |
| +Blue Earth County | 3,691 | 69.8% | 291 | 314 | 5 |
| +Wright County | 1,430 | 52.9% | 305 | 313 | 14 |
| +Carver County | 1,422 | 54.5% | 418 | 495 | 10 |
| +Crow Wing County | 1,262 | 41.5% | 298 | 324 | 10 |
| +Mower County | 1,173 | 70.5% | 107 | 83 | 5 |
| +Scott County | 1,033 | 41.6% | 348 | 380 | 8 |
| +Clay County | 963 | 15.6% | 196 | 223 | 7 |
| +Kandiyohi County | 942 | 44.3% | 191 | 187 | 5 |
| +Becker County | 924 | 57.9% | 143 | 104 | 7 |
| +Otter Tail County | 920 | 35.3% | 177 | 172 | 10 |
| +Rice County | 910 | 43.5% | 235 | 231 | 4 |
| +Itasca County | 860 | 62.6% | 186 | 204 | 6 |
| +Sherburne County | 833 | 30.6% | 201 | 221 | 5 |
| +Douglas County | 731 | 46.5% | 186 | 211 | 7 |
| +Beltrami County | 669 | 45.6% | 202 | 208 | 3 |
| +McLeod County | 667 | 48.6% | 125 | 134 | 6 |
| +Winona County | 654 | 52.0% | 148 | 133 | 3 |
| +Nicollet County | 428 | 24.1% | 72 | 84 | 3 |
| +Nobles County | 422 | 74.2% | 107 | 94 | 4 |
| +Lyon County | 403 | 39.0% | 122 | 110 | 6 |
| +Steele County | 390 | 37.9% | 176 | 191 | 5 |
| +Isanti County | 376 | 25.5% | 88 | 92 | 3 |
| +Goodhue County | 375 | 24.5% | 148 | 172 | 9 |
| +Brown County | 372 | 46.2% | 93 | 96 | 4 |
| +Chisago County | 333 | 36.3% | 117 | 112 | 9 |
| +Carlton County | 296 | 38.9% | 109 | 109 | 7 |
| +Mille Lacs County | 283 | 32.2% | 114 | 93 | 5 |
| +Wabasha County | 273 | 63.7% | 67 | 73 | 6 |
| +Pine County | 261 | 34.9% | 91 | 82 | 8 |
| +Renville County | 214 | 78.0% | 53 | 47 | 7 |
| +Polk County | 214 | 42.1% | 106 | 111 | 7 |
| +Freeborn County | 213 | 37.6% | 65 | 61 | 4 |
| +Wadena County | 210 | 31.9% | 64 | 60 | 4 |
| +Redwood County | 201 | 76.6% | 49 | 56 | 6 |
| +Morrison County | 201 | 48.3% | 94 | 100 | 5 |
| +Koochiching County | 182 | 60.4% | 56 | 59 | 4 |
| +Pennington County | 181 | 53.6% | 66 | 57 | 1 |
| +Pope County | 173 | 80.9% | 37 | 32 | 3 |
| +Hubbard County | 168 | 41.1% | 76 | 65 | 3 |
| +Benton County | 144 | 28.5% | 89 | 83 | 3 |
| +Houston County | 141 | 51.1% | 47 | 49 | 4 |
| +Cass County | 137 | 13.9% | 62 | 46 | 9 |
| +Kanabec County | 129 | 36.4% | 47 | 37 | 3 |
| +Chippewa County | 127 | 29.1% | 43 | 47 | 3 |
| +Pipestone County | 123 | 30.9% | 45 | 40 | 4 |
| +Aitkin County | 120 | 52.5% | 45 | 39 | 4 |
| +Martin County | 120 | 34.2% | 65 | 77 | 4 |
| +Lake County | 116 | 30.2% | 39 | 34 | 2 |
| +Clearwater County | 104 | 57.7% | 26 | 19 | 2 |
| +Todd County | 103 | 52.4% | 68 | 57 | 5 |
| +Watonwan County | 101 | 56.4% | 45 | 47 | 2 |
| +(county unknown) | 100 | 23.0% | 18 | 2 | 21 |
| +Meeker County | 99 | 22.2% | 52 | 54 | 5 |
| +Stevens County | 97 | 32.0% | 62 | 36 | 2 |
| +Kittson County | 91 | 83.5% | 22 | 21 | 4 |
| +Grant County | 83 | 77.1% | 20 | 24 | 5 |
| +Wilkin County | 82 | 34.1% | 33 | 31 | 4 |
| +Waseca County | 74 | 40.5% | 42 | 54 | 3 |
| +Rock County | 72 | 43.1% | 25 | 20 | 2 |
| +Big Stone County | 69 | 11.6% | 24 | 25 | 2 |
| +Faribault County | 62 | 45.2% | 30 | 41 | 4 |
| +Cottonwood County | 61 | 23.0% | 44 | 48 | 4 |
| +Norman County | 57 | 52.6% | 20 | 23 | 3 |
| +Roseau County | 55 | 54.5% | 43 | 38 | 3 |
| +Lac qui Parle County | 54 | 66.7% | 27 | 27 | 3 |
| +Yellow Medicine County | 53 | 52.8% | 39 | 34 | 5 |
| +Fillmore County | 51 | 56.9% | 53 | 55 | 8 |
| +Mahnomen County | 48 | 41.7% | 7 | 6 | 1 |
| +Le Sueur County | 42 | 33.3% | 54 | 71 | 4 |
| +Swift County | 39 | 38.5% | 33 | 35 | 3 |
| +Murray County | 38 | 31.6% | 22 | 17 | 3 |
| +Jackson County | 36 | 61.1% | 36 | 39 | 4 |
| +Dodge County | 31 | 25.8% | 27 | 30 | 6 |
| +Sibley County | 28 | 14.3% | 33 | 36 | 6 |
| +Cook County | 21 | 19.0% | 15 | 13 | 2 |
| +Traverse County | 21 | 28.6% | 19 | 25 | 2 |
| +Marshall County | 16 | 50.0% | 19 | 22 | 2 |
| +Lake of the Woods County | 15 | 40.0% | 10 | 7 | 1 |
| +Lincoln County | 9 | 77.8% | 10 | 13 | 3 |
| +Red Lake County | 9 | 77.8% | 14 | 14 | 2 |
By profession, statewide
| Profession | Practitioners | Has a workplace |
|---|---|---|
| behavioral-health | 38,968 | 24.2% |
| physician | 25,975 | 77.5% |
| advanced-practice | 15,623 | 79.1% |
| rehab-therapy | 15,376 | 32.0% |
| nursing | 5,995 | 23.0% |
| pharmacy | 5,163 | 4.5% |
| dental | 4,763 | 14.6% |
| chiropractic | 3,344 | 54.0% |
| other-clinical | 2,799 | 14.9% |
| student | 2,412 | 7.8% |
| dietary | 1,488 | 39.0% |
| eye-vision | 1,277 | 71.4% |
| support | 828 | 4.6% |
| group | 664 | 59.8% |
| podiatry | 226 | 80.1% |
| agency | 167 | 26.9% |
| facility | 121 | 24.0% |
| transport | 50 | 24.0% |
| no-taxonomy | 49 | 4.1% |
| supplier | 43 | 14.0% |
| emergency-medical | 28 | 42.9% |
| payer | 7 | 14.3% |
Release 2026-08-20. Methodology 0.7.3-draft.
Counts come from the NDH bulk export at the release named above. Organizations are split by record type and never summed: roughly half the Organization file is `ein` tax records that carry an NPI and an address, so adding them to provider organizations roughly doubles the count. Practitioner geography uses the primary address; 14.85% of practitioners list addresses in more than one state and are counted only in the first. Counties are derived from the Census ZCTA-to-county relationship file, taking the county holding the largest share of a ZIP's population; ZIPs with no dominant county are grouped as unknown. Payer organizations carry no address at all and cannot appear in any geography. Profession categories here come from the directory's own Practitioner.qualification taxonomy, not from NPPES. H54 categorises the same practitioners against their NPPES taxonomy and lands 1 to 2 points different per profession as a result: PA physicians read 73.0% here and 74.3% there. Neither is wrong. This view describes what the directory says about itself, which is the right frame for a directory explorer; H54 asks how the directory compares to the federal registry.
Data as JSON: /api/v1/explorer/mn.json. Looking for one provider? Search by name or NPI.