Alabama COVID-19 Tracking
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.
Confirmed 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. Here is a chart of Confirmed + Probable Cases Per Day.
Cumulative Deaths
Deaths Reported Per Day
Data above is based on reported date, not the date death occurred. To see deaths by date (not reported date), check this chart.
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 Rt.live for Alabama. NOTE: This chart will update each Monday.
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 156946 / 1295868 = 12.11%.
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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Data Grid
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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 | 22,016 | 0 | 1,113 | 0 | 377 | 215,392 | 12.91% | 106.29 |
| Mobile | 13,952 | 0 | 2,897 | 0 | 315 | 107,512 | 38.45% | 35.43 |
| Montgomery | 9,594 | 0 | 603 | 0 | 197 | 54,820 | 24.59% | 52.14 |
| Madison | 8,795 | 0 | 485 | 0 | 96 | 94,409 | 10.32% | 42.14 |
| Tuscaloosa | 7,324 | 0 | 2,972 | 0 | 140 | 75,904 | 17.72% | 36.00 |
| Shelby | 6,436 | 0 | 902 | 0 | 63 | 59,367 | 16.45% | 40.71 |
| Baldwin | 5,627 | 0 | 1,010 | 0 | 69 | 52,702 | 15.26% | 19.57 |
| Lee | 4,247 | 0 | 2,287 | 0 | 65 | 48,283 | 9.91% | 4.86 |
| Marshall | 4,055 | 0 | 326 | 0 | 50 | 24,803 | 19.92% | 12.71 |
| Morgan | 3,967 | 0 | 153 | 0 | 35 | 27,080 | 22.28% | 24.86 |
| Calhoun | 3,838 | 0 | 729 | 0 | 61 | 30,377 | 32.54% | 26.71 |
| Etowah | 3,778 | 0 | 487 | 0 | 51 | 29,937 | 20.46% | 34.57 |
| DeKalb | 3,156 | 0 | 232 | 0 | 29 | 16,910 | 38.70% | 33.71 |
| Elmore | 2,792 | 0 | 408 | 0 | 53 | 21,775 | 13.59% | 11.71 |
| Limestone | 2,755 | 0 | 87 | 0 | 30 | 18,728 | 23.16% | 22.14 |
| Walker | 2,582 | 0 | 190 | 0 | 92 | 16,563 | 21.62% | 15.00 |
| St. Clair | 2,510 | 0 | 415 | 0 | 42 | 22,133 | 22.22% | 19.57 |
| Houston | 2,409 | 0 | 1,739 | 0 | 34 | 26,788 | 37.02% | 8.86 |
| Jackson | 2,025 | 0 | 124 | 0 | 15 | 15,928 | 28.27% | 21.71 |
| Cullman | 2,004 | 0 | 436 | 0 | 24 | 19,539 | 25.12% | 18.71 |
| Franklin | 1,985 | 0 | 67 | 0 | 31 | 8,778 | 35.88% | 8.14 |
| Lauderdale | 1,962 | 0 | 300 | 0 | 42 | 21,274 | 19.86% | 11.86 |
| Colbert | 1,890 | 0 | 115 | 0 | 32 | 13,806 | 18.08% | 11.14 |
| Autauga | 1,820 | 0 | 228 | 0 | 31 | 13,027 | 16.54% | 7.14 |
| Russell | 1,792 | 0 | 152 | 0 | 3 | 11,430 | 17.05% | 4.00 |
| Talladega | 1,772 | 0 | 881 | 0 | 35 | 18,562 | 23.13% | 9.71 |
| Chilton | 1,672 | 0 | 197 | 0 | 32 | 9,721 | 20.94% | 10.14 |
| Dallas | 1,567 | 0 | 298 | 0 | 27 | 10,469 | 10.61% | 1.86 |
| Blount | 1,489 | 0 | 436 | 0 | 25 | 11,396 | 24.20% | 11.00 |
| Escambia | 1,409 | 0 | 316 | 0 | 30 | 8,599 | 11.78% | 2.00 |
| Coffee | 1,377 | 0 | 386 | 0 | 11 | 13,224 | 26.56% | 9.71 |
| Dale | 1,307 | 0 | 444 | 0 | 51 | 11,497 | 22.82% | 5.57 |
| Clarke | 1,108 | 0 | 235 | 0 | 17 | 7,172 | 19.63% | 4.57 |
| Tallapoosa | 1,074 | 0 | 243 | 0 | 87 | 11,298 | 16.14% | 3.00 |
| Pike | 1,003 | 0 | 332 | 0 | 13 | 8,820 | 15.15% | 2.43 |
| Covington | 969 | 0 | 771 | 0 | 29 | 8,672 | 35.24% | 3.29 |
| Butler | 960 | 0 | 47 | 0 | 40 | 4,692 | 19.58% | 1.14 |
| Marengo | 951 | 0 | 57 | 0 | 22 | 6,662 | 25.52% | 5.57 |
| Marion | 950 | 0 | 126 | 0 | 29 | 6,830 | 14.62% | 4.57 |
| Chambers | 949 | 0 | 401 | 0 | 44 | 8,797 | 11.33% | 2.43 |
| Winston | 834 | 0 | 88 | 0 | 13 | 5,820 | 24.71% | 3.57 |
| Lawrence | 804 | 0 | 46 | 0 | 32 | 4,787 | 28.84% | 7.14 |
| Bibb | 759 | 0 | 69 | 0 | 14 | 6,084 | 18.87% | 3.86 |
| Pickens | 739 | 0 | 108 | 0 | 18 | 5,718 | 21.79% | 6.14 |
| Barbour | 729 | 0 | 302 | 0 | 9 | 5,193 | 22.53% | 3.57 |
| Randolph | 703 | 0 | 120 | 0 | 16 | 4,386 | 28.80% | 3.14 |
| Hale | 681 | 0 | 86 | 0 | 30 | 5,286 | 18.07% | 3.29 |
| Lowndes | 675 | 0 | 34 | 0 | 28 | 2,595 | 22.39% | 1.00 |
| Clay | 646 | 0 | 95 | 0 | 12 | 3,494 | 33.55% | 4.00 |
| Geneva | 640 | 0 | 260 | 0 | 7 | 5,632 | 28.13% | 3.71 |
| Bullock | 610 | 0 | 38 | 0 | 17 | 2,830 | 17.52% | 0.71 |
| Washington | 593 | 0 | 151 | 0 | 12 | 3,807 | 44.24% | 3.29 |
| Cherokee | 540 | 0 | 193 | 0 | 14 | 4,809 | 14.69% | 1.71 |
| Perry | 536 | 0 | 53 | 0 | 6 | 3,209 | 20.00% | 1.00 |
| Cleburne | 514 | 0 | 42 | 0 | 8 | 2,501 | 29.67% | 5.00 |
| Fayette | 502 | 0 | 72 | 0 | 13 | 3,888 | 21.07% | 3.86 |
| Wilcox | 502 | 0 | 65 | 0 | 12 | 2,698 | 12.50% | 1.14 |
| Monroe | 485 | 0 | 161 | 0 | 10 | 4,568 | 14.73% | 1.00 |
| Conecuh | 478 | 0 | 83 | 0 | 13 | 2,462 | 19.51% | 1.00 |
| Crenshaw | 477 | 0 | 129 | 0 | 30 | 3,133 | 22.75% | 1.57 |
| Macon | 469 | 0 | 65 | 0 | 20 | 3,777 | 10.39% | 0.43 |
| Henry | 450 | 0 | 258 | 0 | 6 | 4,147 | 34.93% | 1.57 |
| Sumter | 448 | 0 | 24 | 0 | 21 | 2,778 | 13.28% | 1.00 |
| Lamar | 437 | 0 | 53 | 0 | 5 | 3,212 | 40.00% | 3.57 |
| Choctaw | 369 | 0 | 21 | 0 | 12 | 1,685 | 27.12% | 0.14 |
| Greene | 318 | 0 | 24 | 0 | 16 | 2,117 | 12.00% | 1.00 |
| Coosa | 140 | 0 | 63 | 0 | 3 | 1,576 | 14.02% | 0.00 |
| Total | 156,946 | 0 | 26,330 | 0 | 2680 | 1,295,868 |
Case & Death Demographics Alabama Mortality
Other Stats
Nationwide Totals
8,827,932
US Cases
+0
New Today
230,068
US Deaths
+0
New Today
Statewide Percentages
26.43%
1,295,868 out of 4,903,000 Population Tested
12.11%
156,946 out of 1,295,868 Positive Tests
12.49%
19,595 out of 156,946 Hospitalized
4.7%
920 Currently Hospitalized
0%
0 out of 67 Counties with New Cases Today
1.71%
2,680 out of 156,946 Deceased
- 3.201% of the population of Alabama has tested positive for COVID-19, approximately 3201 in 100,000 people.
- 0.0547% of the population of Alabama have died from COVID-19, approximately 55 in 100,000 people.
- Alabama Cases (156,946) make up 1.78% of the total US Cases of COVID-19 (8,827,932)