Alabama COVID-19 Tracking
Follow on Twitter @BamaTracker for updates.
141,757
128,097 Conf. + 13,660 Prob.
128,097 Conf. + 13,660 Prob.
Total Cases
2,401
2,264 Conf. + 137 Prob.
2,264 Conf. + 137 Prob.
Total Deaths
-
Updates at 10am
Updates at 10am
Cases Yesterday
1,031,253 Total
- Yesterday
- Yesterday
Tests Reported
61,232
Recovered
0.92
Rt
8,785 Cases
82,715 Tested
82,715 Tested
Last 14 Days
16,079 Total
740 Current
740 Current
Hospitalizations
Cumulative Cases
Probable Cases are the total number of patients who are epidemiologically linked (have had close contact) with a confirmed case, have symptoms meeting clinical criteria of COVID-19, and have no confirmatory laboratory testing performed for COVID-19.
New Cases Per Day
Bama Tracker tracks the change in cumulative cases from midnight to 11:59pm each day. The change shown above can vary slightly from ADPH.
Cumulative Deaths
Cumulative Tests
Cumulative Hospitalizations
On 7/12/2020 ADPH adjusted how they count hospitalizations. More info here.
Hospitalizations Per Day
Increases to the cumulative total.
Rt Per Day
Rt is the rate of reproduction of the virus. If Rt is above 1.0, the virus will spread quickly. When Rt is below 1.0, the virus will stop spreading exponentially. Data from Covid19-Projections for Alabama. NOTE: This chart will update each Wednesday.
Case Growth Per Day
Growth % can vary drastically when the numbers are low and gradually reduce as the cumulative count rises. This chart starts at 6/1 to more clearly show recent changes in growth.
Doubling Time (In Days)
Doubling Time (in Days) is the time it will take for cumulative cases to double in value. The chart above shows the 'Doubling Days' over Time based on 7-day growth. Higher is better.
Rate of Deaths Per Day
Cumulative Deaths / Cumulative Cases Per Day
Percent of Counties With New Cases Per Day
Cumulative %Positive Per Day
Based on the running cumulative Total Cases / Total Tests each day. New test counts fluctuate greatly each day, so these percentages are based on the cumulative counts tracked over time. Example: Today would be 128097 / 1031253 = 12.42%.
7-Day Avg. %Positive Per Day
This is the 7-day avg amount of new cases divided by 7-day avg new tests reported each day. The "Ideal Range" comes from data presented by Johns Hopkins described in detail here.
Tests Per Positive
How many tests does it take to find 1 positive case? More testing with fewer positive cases is assumed to be an indication of progress. Idea by @twang0518.
14-Day Counts %Positive Per Day
This is the 14-day count of new cases divided by 14-day count of new tests reported each day by ADPH. The "Ideal Range" comes from data presented by Johns Hopkins described in detail here. Data started on 5/18.
Click on any County in the list below to get to a detailed section of that county's data. You can click/tap on the columns to sort.
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County Sets
Daily History
Data Grid
Other Stats
Schools
Quick Dashboard
Important: As of 6/3/2020 ADPH began updating their numbers at 10 am once a day. The change in the table below as of 6/3 most likely indicates an increase for the previous day.
| County | Cases | Change | Probable | Change | Deaths | Tests | %Pos (14d) | 7day Avg |
|---|---|---|---|---|---|---|---|---|
| Jefferson | 17,860 | 0 | 788 | 0 | 323 | 174,163 | 11.60% | 100.43 |
| Mobile | 12,627 | 0 | 322 | 0 | 282 | 89,825 | 7.90% | 27.43 |
| Montgomery | 8,261 | 0 | 299 | 0 | 166 | 45,230 | 12.94% | 29.43 |
| Madison | 7,015 | 0 | 350 | 0 | 66 | 75,739 | 11.61% | 38.14 |
| Tuscaloosa | 5,729 | 0 | 1,286 | 0 | 101 | 54,116 | 8.84% | 38.00 |
| Baldwin | 4,838 | 0 | 183 | 0 | 44 | 40,317 | 9.66% | 16.57 |
| Shelby | 4,817 | 0 | 684 | 0 | 41 | 46,126 | 14.72% | 40.29 |
| Lee | 3,643 | 0 | 1,939 | 0 | 49 | 40,217 | 8.16% | 8.29 |
| Marshall | 3,567 | 0 | 196 | 0 | 41 | 20,960 | 7.34% | 5.29 |
| Morgan | 3,006 | 0 | 123 | 0 | 24 | 21,828 | 11.05% | 10.14 |
| Etowah | 2,939 | 0 | 324 | 0 | 43 | 23,833 | 5.64% | 13.57 |
| Calhoun | 2,881 | 0 | 330 | 0 | 32 | 23,403 | 12.26% | 28.86 |
| Elmore | 2,245 | 0 | 230 | 0 | 44 | 16,703 | 13.03% | 9.29 |
| DeKalb | 2,175 | 0 | 126 | 0 | 17 | 13,063 | 7.32% | 5.57 |
| Walker | 2,056 | 0 | 121 | 0 | 76 | 13,531 | 14.77% | 8.29 |
| Houston | 2,043 | 0 | 563 | 0 | 15 | 18,904 | 6.29% | 10.57 |
| St. Clair | 1,869 | 0 | 312 | 0 | 32 | 17,790 | 12.13% | 14.00 |
| Limestone | 1,856 | 0 | 63 | 0 | 18 | 14,840 | 13.32% | 14.86 |
| Franklin | 1,692 | 0 | 35 | 0 | 28 | 7,395 | 20.45% | 8.43 |
| Russell | 1,584 | 0 | 107 | 0 | 2 | 9,428 | 8.50% | 1.29 |
| Lauderdale | 1,554 | 0 | 38 | 0 | 30 | 16,091 | 9.06% | 6.00 |
| Cullman | 1,545 | 0 | 255 | 0 | 15 | 15,385 | 8.08% | 6.29 |
| Colbert | 1,537 | 0 | 35 | 0 | 23 | 10,599 | 10.60% | 4.86 |
| Autauga | 1,486 | 0 | 138 | 0 | 23 | 10,248 | 16.22% | 9.43 |
| Dallas | 1,479 | 0 | 246 | 0 | 25 | 9,257 | 9.65% | 1.29 |
| Talladega | 1,397 | 0 | 602 | 0 | 22 | 14,977 | 10.55% | 7.57 |
| Jackson | 1,391 | 0 | 75 | 0 | 8 | 12,659 | 7.80% | 6.71 |
| Escambia | 1,312 | 0 | 231 | 0 | 24 | 7,454 | 15.27% | 4.71 |
| Chilton | 1,274 | 0 | 159 | 0 | 20 | 7,404 | 28.31% | 8.29 |
| Blount | 1,164 | 0 | 340 | 0 | 13 | 8,972 | 11.72% | 7.86 |
| Dale | 1,110 | 0 | 170 | 0 | 42 | 8,333 | 7.58% | 4.57 |
| Coffee | 1,057 | 0 | 181 | 0 | 5 | 10,468 | 8.66% | 3.86 |
| Tallapoosa | 963 | 0 | 161 | 0 | 82 | 9,264 | 4.31% | 2.00 |
| Clarke | 939 | 0 | 105 | 0 | 15 | 5,747 | 4.86% | 0.86 |
| Pike | 888 | 0 | 244 | 0 | 8 | 7,414 | 7.76% | 2.29 |
| Butler | 869 | 0 | 33 | 0 | 37 | 4,034 | 11.27% | 0.86 |
| Chambers | 866 | 0 | 240 | 0 | 40 | 6,836 | 3.66% | 0.57 |
| Covington | 844 | 0 | 426 | 0 | 25 | 7,095 | 7.65% | 1.00 |
| Marion | 801 | 0 | 113 | 0 | 27 | 5,113 | 18.31% | 3.57 |
| Marengo | 660 | 0 | 33 | 0 | 18 | 4,777 | 8.13% | 1.00 |
| Winston | 640 | 0 | 45 | 0 | 12 | 4,625 | 17.97% | 5.00 |
| Barbour | 630 | 0 | 179 | 0 | 7 | 4,141 | 5.79% | 1.71 |
| Lowndes | 613 | 0 | 30 | 0 | 25 | 2,273 | 11.93% | 1.43 |
| Bibb | 586 | 0 | 31 | 0 | 6 | 4,683 | 8.45% | 1.71 |
| Pickens | 575 | 0 | 47 | 0 | 13 | 4,440 | 8.81% | 2.29 |
| Hale | 564 | 0 | 44 | 0 | 27 | 4,185 | 11.79% | 1.86 |
| Bullock | 562 | 0 | 23 | 0 | 13 | 2,431 | 13.56% | 1.57 |
| Lawrence | 555 | 0 | 21 | 0 | 20 | 3,577 | 20.07% | 4.14 |
| Randolph | 516 | 0 | 69 | 0 | 11 | 3,450 | 13.45% | 2.14 |
| Washington | 512 | 0 | 33 | 0 | 13 | 3,107 | 5.88% | 1.29 |
| Perry | 487 | 0 | 48 | 0 | 6 | 2,877 | 10.59% | 0.29 |
| Wilcox | 479 | 0 | 50 | 0 | 11 | 2,360 | 5.00% | 0.00 |
| Clay | 469 | 0 | 49 | 0 | 7 | 2,675 | 33.33% | 7.29 |
| Conecuh | 447 | 0 | 69 | 0 | 11 | 2,199 | 11.35% | 0.86 |
| Monroe | 444 | 0 | 126 | 0 | 7 | 3,981 | 3.31% | 0.29 |
| Geneva | 442 | 0 | 98 | 0 | 3 | 4,145 | 12.56% | 4.86 |
| Crenshaw | 424 | 0 | 91 | 0 | 30 | 2,662 | 11.57% | 1.14 |
| Macon | 421 | 0 | 45 | 0 | 17 | 3,203 | 6.86% | 0.43 |
| Cherokee | 414 | 0 | 114 | 0 | 12 | 3,663 | 9.14% | 4.86 |
| Sumter | 407 | 0 | 10 | 0 | 19 | 2,304 | 5.21% | 0.43 |
| Fayette | 366 | 0 | 46 | 0 | 8 | 3,022 | 15.54% | 4.29 |
| Henry | 366 | 0 | 86 | 0 | 3 | 2,944 | 6.99% | 1.57 |
| Choctaw | 332 | 0 | 10 | 0 | 12 | 1,427 | 12.79% | 0.57 |
| Lamar | 305 | 0 | 25 | 0 | 2 | 2,609 | 12.81% | 2.43 |
| Cleburne | 298 | 0 | 13 | 0 | 6 | 1,776 | 20.38% | 5.43 |
| Greene | 285 | 0 | 14 | 0 | 14 | 1,702 | 4.63% | 0.43 |
| Coosa | 119 | 0 | 38 | 0 | 3 | 1,254 | 11.76% | 0.86 |
| Total | 128,097 | 0 | 13,660 | 0 | 2264 | 1,031,253 |
Case & Death Demographics Alabama Mortality
Other Stats
Nationwide Totals
6,875,103
US Cases
+507
New Today
202,219
US Deaths
+6
New Today
Statewide Percentages
21.03%
1,031,253 out of 4,903,000 Population Tested
12.42%
128,097 out of 1,031,253 Positive Tests
12.55%
16,079 out of 128,097 Hospitalized
4.6%
740 Currently Hospitalized
0%
0 out of 67 Counties with New Cases Today
1.77%
2264 out of 128,097 Deceased
- 2.613% of the population of Alabama has tested positive for COVID-19, approximately 2613 in 100,000 people.
- 0.0462% of the population of Alabama have died from COVID-19, approximately 46 in 100,000 people.
- Alabama Cases (128,097) make up 1.86% of the total US Cases of COVID-19 (6,875,103)