Tennessee's 9th congressional district (TN-09)
Tennessee's 9th congressional district (TN-09) covers parts or all of 15 counties, including Bedford County, Giles County, Hardeman County, Hardin County, Lawrence County and Lincoln County, and 115 ZIP codes (58 wholly inside it). Its 2020 population was 767,872. This is the map in force for the November 3, 2026 election.
Who represents TN-09
| Office | Member | Contact |
|---|---|---|
| U.S. Representative (TN-09) | Steve Cohen (D) | 202-225-3265 |
| 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-09 |
|---|---|
| Bedford County | 100% |
| Giles County | 100% |
| Hardeman County | 100% |
| Hardin County | 100% |
| Lawrence County | 100% |
| Lincoln County | 100% |
| Marshall County | 100% |
| McNairy County | 100% |
| Moore County | 100% |
| Wayne County | 100% |
| Fayette County | 60% |
| Williamson County | 43% |
| Maury County | 32% |
| Shelby County | 29% |
| Rutherford County | 11% |
ZIP codes
Percentages mark ZIPs only partly in TN-09: the share of that ZIP's residents inside it.
- 37014 (87%)
- 37018 (6.3%)
- 37019
- 37020 (71%)
- 37027 (75%)
- 37034
- 37046 (95%)
- 37047
- 37060 (22%)
- 37064 (15%)
- 37067 (71%)
- 37069 (11%)
- 37086 (14%)
- 37091
- 37096 (0.8%)
- 37129 (0.5%)
- 37135 (89%)
- 37144
- 37153 (4.5%)
- 37160
- 37167 (52%)
- 37174 (4.5%)
- 37179 (8.1%)
- 37180 (97%)
- 37183 (91%)
- 37306 (4.2%)
- 37328 (91%)
- 37334
- 37335 (99%)
- 37348
- 37352 (100%)
- 37359
- 37360 (53%)
- 37388 (6.0%)
- 37398 (1.2%)
- 38008
- 38017 (56%)
- 38018 (0.9%)
- 38028 (30%)
- 38039
- 38042
- 38044 (93%)
- 38046
- 38052
- 38057
- 38060 (92%)
- 38061
- 38066
- 38067
- 38068 (29%)
- 38075 (87%)
- 38076
- 38104 (11%)
- 38106 (31%)
- 38109 (9.7%)
- 38111 (63%)
- 38114 (94%)
- 38115
- 38116 (94%)
- 38118
- 38119 (<0.1%)
- 38125 (94%)
- 38131
- 38132
- 38141
- 38310
- 38315 (93%)
- 38326 (98%)
- 38327
- 38332 (9.5%)
- 38334 (59%)
- 38339
- 38340 (2.0%)
- 38356 (24%)
- 38357
- 38359 (93%)
- 38361
- 38365
- 38367
- 38370 (93%)
- 38371 (24%)
- 38372
- 38375
- 38376
- 38379
- 38381
- 38392 (13%)
- 38401 (46%)
- 38425 (95%)
- 38449
- 38450
- 38451 (58%)
- 38452
- 38453
- 38455
- 38456
- 38457
- 38459
- 38460
- 38463
- 38464
- 38468
- 38469
- 38471
- 38472
- 38473
- 38474 (5.1%)
- 38475
- 38477
- 38478
- 38481
- 38483 (76%)
- 38485 (99%)
- 38486
- 38488
Towns
District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 1, District 10, District 10, District 10, District 11, District 11, District 12, 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 3, District 3, District 3, District 3, 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-09, 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:4709", children_level="precinct", include_districts=True)