Alabama · 2016 presidential election
Alabama presidential election results 2016
Donald J. Trump carried Alabama by 27.73 points (588,708 votes), winning 9 electoral votes.
- Electoral votes
- 9
- Votes counted
- 2,123,372
- AL result
- R+27.7
- Compared with the nation
- 29.7 pts more Republican
- Swing since 2012
- 5.5 pts to R
Statewide result
| Candidate | Party | Votes | Share | Bar | Electoral votes |
|---|---|---|---|---|---|
| Donald J. Trump | Republican | 1,318,255 | 62.10% | 9 | |
| Hillary Clinton | Democratic | 729,547 | 34.40% | — | |
| Gary Johnson | Libertarian | 44,467 | 2.10% | — | |
| Total votes | 2,123,372 | ||||
County resultsCertified
Download CSVAll 4 tickets as printed in the document
| Ticket (as printed) | Code | Votes | Share |
|---|---|---|---|
| Trump (R) | R | 1,318,255 | 62.72% |
| Clinton (D) | D | 729,547 | 34.71% |
| Johnson (I) | I | 44,467 | 2.12% |
| Stein (I) | I | 9,391 | 0.45% |
| Write-in / scattering | 21,712 | ||
| County | Hillary Clinton | Donald J. Trump | Gary Johnson | Stein | Total | Margin |
|---|---|---|---|---|---|---|
| Autauga | 5,936 | 18,172 | 546 | 105 | 24,759 | 49.4 |
| Baldwin | 18,458 | 72,883 | 2,464 | 456 | 94,261 | 57.7 |
| Barbour | 4,871 | 5,454 | 93 | 18 | 10,436 | 5.6 |
| Bibb | 1,874 | 6,738 | 124 | 17 | 8,753 | 55.6 |
| Blount | 2,156 | 22,859 | 338 | 89 | 25,442 | 81.4 |
| Bullock | 3,530 | 1,140 | 22 | 10 | 4,702 | 50.8 |
| Butler | 3,726 | 4,901 | 65 | 13 | 8,705 | 13.5 |
| Calhoun | 13,242 | 32,865 | 1,116 | 262 | 47,485 | 41.3 |
| Chambers | 5,784 | 7,843 | 168 | 44 | 13,839 | 14.9 |
| Cherokee | 1,547 | 8,953 | 147 | 26 | 10,673 | 69.4 |
| Chilton | 2,911 | 15,081 | 228 | 52 | 18,272 | 66.6 |
| Choctaw | 3,109 | 4,106 | 52 | 6 | 7,273 | 13.7 |
| Clarke | 5,749 | 7,140 | 99 | 17 | 13,005 | 10.7 |
| Clay | 1,237 | 5,245 | 93 | 16 | 6,591 | 60.8 |
| Cleburne | 684 | 5,764 | 90 | 20 | 6,558 | 77.5 |
| Coffee | 4,221 | 15,875 | 396 | 104 | 20,596 | 56.6 |
| Colbert | 7,312 | 16,746 | 511 | 107 | 24,676 | 38.2 |
| Conecuh | 3,080 | 3,420 | 51 | 10 | 6,561 | 5.2 |
| Coosa | 1,782 | 3,381 | 53 | 14 | 5,230 | 30.6 |
| Covington | 2,387 | 13,267 | 183 | 36 | 15,873 | 68.5 |
| Crenshaw | 1,664 | 4,513 | 65 | 14 | 6,256 | 45.5 |
| Cullman | 3,798 | 32,989 | 687 | 134 | 37,608 | 77.6 |
| Dale | 4,413 | 13,808 | 350 | 62 | 18,633 | 50.4 |
| Dallas | 12,836 | 5,789 | 96 | 24 | 18,745 | 37.6 |
| DeKalb | 3,622 | 21,405 | 458 | 152 | 25,637 | 69.4 |
| Elmore | 8,443 | 27,634 | 738 | 112 | 36,927 | 52.0 |
| Escambia | 4,605 | 9,935 | 188 | 37 | 14,765 | 36.1 |
| Etowah | 10,442 | 32,353 | 835 | 164 | 43,794 | 50.0 |
| Fayette | 1,362 | 6,712 | 109 | 24 | 8,207 | 65.2 |
| Franklin | 2,197 | 9,466 | 238 | 54 | 11,955 | 60.8 |
| Geneva | 1,525 | 9,994 | 149 | 24 | 11,692 | 72.4 |
| Greene | 4,013 | 838 | 13 | 5 | 4,869 | 65.2 |
| Hale | 4,775 | 3,173 | 54 | 12 | 8,014 | 20.0 |
| Henry | 2,292 | 5,632 | 91 | 17 | 8,032 | 41.6 |
| Houston | 10,664 | 30,728 | 779 | 144 | 42,315 | 47.4 |
| Jackson | 3,673 | 16,672 | 393 | 90 | 20,828 | 62.4 |
| Jefferson | 156,873 | 134,768 | 6,645 | 1,554 | 299,840 | 7.4 |
| Lamar | 1,036 | 5,823 | 62 | 15 | 6,936 | 69.0 |
| Lauderdale | 9,952 | 27,899 | 987 | 222 | 39,060 | 45.9 |
| Lawrence | 3,627 | 10,833 | 250 | 31 | 14,741 | 48.9 |
| Lee | 21,230 | 34,617 | 2,030 | 364 | 58,241 | 23.0 |
| Limestone | 9,468 | 29,067 | 1,055 | 202 | 39,792 | 49.3 |
| Lowndes | 4,883 | 1,751 | 32 | 11 | 6,677 | 46.9 |
| Macon | 7,566 | 1,431 | 69 | 49 | 9,115 | 67.3 |
| Madison | 62,822 | 89,520 | 6,621 | 1,254 | 160,217 | 16.7 |
| Marengo | 5,615 | 5,233 | 104 | 13 | 10,965 | 3.5 |
| Marion | 1,432 | 11,274 | 181 | 26 | 12,913 | 76.2 |
| Marshall | 4,917 | 29,233 | 678 | 158 | 34,986 | 69.5 |
| Mobile | 72,186 | 95,116 | 3,291 | 791 | 171,384 | 13.4 |
| Monroe | 4,332 | 5,795 | 88 | 17 | 10,232 | 14.3 |
| Montgomery | 58,916 | 34,003 | 1,486 | 490 | 94,895 | 26.3 |
| Morgan | 11,254 | 37,486 | 1,168 | 218 | 50,126 | 52.3 |
| Perry | 3,824 | 1,407 | 23 | 6 | 5,260 | 46.0 |
| Pickens | 3,972 | 5,456 | 49 | 19 | 9,496 | 15.6 |
| Pike | 5,056 | 7,693 | 257 | 48 | 13,054 | 20.2 |
| Randolph | 2,291 | 7,705 | 124 | 19 | 10,139 | 53.4 |
| Russell | 9,579 | 9,210 | 281 | 68 | 19,138 | 1.9 |
| St Clair | 5,589 | 31,651 | 684 | 130 | 38,054 | 68.5 |
| Shelby | 22,977 | 73,020 | 2,965 | 480 | 99,442 | 50.3 |
| Sumter | 4,746 | 1,581 | 57 | 14 | 6,398 | 49.5 |
| Talladega | 12,121 | 20,614 | 411 | 106 | 33,252 | 25.5 |
| Tallapoosa | 5,519 | 13,594 | 233 | 52 | 19,398 | 41.6 |
| Tuscaloosa | 31,762 | 47,723 | 1,873 | 390 | 81,748 | 19.5 |
| Walker | 4,497 | 24,266 | 455 | 95 | 29,313 | 67.4 |
| Washington | 2,374 | 6,042 | 73 | 22 | 8,511 | 43.1 |
| Wilcox | 4,339 | 1,742 | 22 | 7 | 6,110 | 42.5 |
| Winston | 872 | 9,228 | 131 | 29 | 10,260 | 81.4 |
Candidate votes as printed in the document. “Total” is the document’s total where it prints one, otherwise the sum of the candidate columns. Margin is the leading ticket’s lead in points over the second.
Notes on how this document was read
- Only the President columns (x < 401 pt) are read; the Total line at the top of page 3 is the statewide row.
Method: text layer: words grouped by baseline (pdfplumber), numeric tokens taken as the row's values under the spec's column labels; each row's digits matched against PyMuPDF's words (second extraction)
Alabama in every election · 2016 primaries · 2016 Senate race · All states in 2016 · Report an error
Questions and answers
Who won Alabama in 2016?
Donald J. Trump won Alabama by 27.73 percentage points (588,708 votes).
How many electoral votes did Alabama have in 2016?
Alabama cast 9 electoral votes in 2016.
How many people voted for president in Alabama in 2016?
2,123,372 votes were counted for president.
How many counties did each candidate win in Alabama in 2016?
Donald J. Trump 54, Hillary Clinton 13 (out of 67 counties with results).
How did Alabama change from 2012 to 2016?
The margin moved 5.5 points toward the Republican ticket, from Republican by 22.2 points to Republican by 27.7 points.
Official results As published by The American Presidency Project (UC Santa Barbara) and the state documents it links. How we use this data