Tennessee's 4th congressional district (TN-04)
Tennessee's 4th congressional district (TN-04) covers parts or all of 11 counties, including Bledsoe County, Cannon County, Coffee County, Franklin County, Grundy County and Marion County, and 85 ZIP codes (38 wholly inside it). Its 2020 population was 767,871. This is the map in force for the November 3, 2026 election.
Who represents TN-04
| Office | Member | Contact |
|---|---|---|
| U.S. Representative (TN-04) | Scott DesJarlais (R) | 202-225-6831 |
| U.S. Senator | Bill Hagerty (R) | 202-224-4944 · contact form |
| U.S. Senator | Marsha Blackburn (R) | 202-224-3344 · contact form |
Elected in 2024 under TN's previous congressional map; this district's lines changed for the 120th Congress (seated January 3, 2027).
Officials serving now (members of Congress until January 3, 2027). Sources: Members of Congress: the @unitedstates project, congress-legislators (CC0).
Counties
| County | Share of the county's residents in TN-04 |
|---|---|
| Bledsoe County | 100% |
| Cannon County | 100% |
| Coffee County | 100% |
| Franklin County | 100% |
| Grundy County | 100% |
| Marion County | 100% |
| Sequatchie County | 100% |
| Van Buren County | 100% |
| Warren County | 100% |
| Rutherford County | 89% |
| Davidson County | 32% |
ZIP codes
Percentages mark ZIPs only partly in TN-04: the share of that ZIP's residents inside it.
- 37013
- 37014 (13%)
- 37016 (65%)
- 37018 (94%)
- 37020 (29%)
- 37026
- 37027 (3.9%)
- 37037
- 37046 (4.5%)
- 37060 (78%)
- 37076 (23%)
- 37085 (89%)
- 37086 (86%)
- 37090 (0.4%)
- 37095 (25%)
- 37110
- 37118 (80%)
- 37122 (2.3%)
- 37127
- 37128
- 37129 (99%)
- 37130
- 37132
- 37135 (11%)
- 37149
- 37153 (95%)
- 37166 (6.1%)
- 37167 (48%)
- 37180 (3.4%)
- 37183 (8.9%)
- 37190
- 37204 (0.2%)
- 37210 (1.1%)
- 37211 (94%)
- 37214 (34%)
- 37217 (95%)
- 37301
- 37305
- 37306 (96%)
- 37313
- 37318
- 37321 (1.0%)
- 37324
- 37327
- 37328 (8.6%)
- 37330
- 37332 (1.3%)
- 37335 (1.4%)
- 37337 (0.7%)
- 37338 (58%)
- 37339
- 37340
- 37342
- 37345
- 37347
- 37352 (0.3%)
- 37355
- 37356
- 37357
- 37360 (47%)
- 37365
- 37366
- 37367 (99%)
- 37374
- 37375
- 37376
- 37377 (10%)
- 37379 (2.1%)
- 37380
- 37381 (10%)
- 37383
- 37387
- 37388 (94%)
- 37394
- 37396
- 37397
- 37398 (99%)
- 37405 (4.8%)
- 37419 (7.6%)
- 38550
- 38559 (22%)
- 38572 (2.0%)
- 38581 (98%)
- 38583 (1.2%)
- 38585
Towns
District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 10, District 11, District 12, District 12, District 13, District 13, District 14, District 15, District 16, District 17, District 18, District 2, District 2, District 2, District 2, District 2, District 2, District 2, District 2, District 2, District 2, District 20, District 21, District 27, District 28, District 29, District 3, District 3, District 3 and District 3 and others.
Get this in your AI agent
Your agent can draw every precinct in TN-04, or list them with population shares (related_geographies). Add https://boundarymcp.com/mcp to Claude, ChatGPT, Cursor or Codex (free, no key; how), then:
get_boundaries(id="us:congressional_district:4704", children_level="precinct", include_districts=True)