date_as_of timestamp[ns]date 2020-03-13 00:00:00 2020-07-30 00:00:00 ⌀ | case_in_last_24_hours float64 0 399 ⌀ | addis_ababa float64 0 221 ⌀ | somali float64 0 133 ⌀ | oromia float64 0 22 ⌀ | afar float64 0 10 ⌀ | amhara float64 0 22 ⌀ | snnp float64 0 7 ⌀ | tigray float64 0 21 ⌀ | test_in_last_24_hours float64 59 6.91k ⌀ | cumulative_total float64 62 310k ⌀ | total_patients_in_treatment_centers float64 1 3.65k ⌀ | patients_in_intensive_care float64 0 38 ⌀ | newly_recovered float64 0 327 ⌀ | total_recovered float64 0 4.81k ⌀ | daily_death float64 0 11 ⌀ | total_deaths float64 0 139 ⌀ | cumulative_total_covid_19_cases float64 1 5.57k ⌀ | of_daily_cases2 stringclasses 9
values | esa_source stringclasses 1
value | esa_processed stringdate 2026-04-07 00:00:00 2026-04-07 00:00:00 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-07-03T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-03-28T00:00:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 797 | 13 | 0 | 0 | 1 | 0 | 0 | 16 | #DIV/0! | HDX | 2026-04-07 |
2020-03-30T00:00:00 | 2 | null | null | null | null | 2 | null | null | 66 | null | 19 | 1 | 0 | 2 | 0 | 0 | 23 | 3% | HDX | 2026-04-07 |
2020-03-22T00:00:00 | 2 | 2 | null | null | null | null | null | null | null | null | 10 | null | 0 | 0 | 0 | 0 | 10 | #DIV/0! | HDX | 2026-04-07 |
2020-04-17T00:00:00 | 4 | 3 | null | null | null | 1 | null | null | 842 | 6,231 | 76 | 1 | 0 | 15 | 0 | 3 | 96 | 0% | HDX | 2026-04-07 |
2020-05-06T00:00:00 | 17 | 14 | null | null | 3 | null | null | null | 1,382 | 26,517 | 63 | 0 | 2 | 93 | 0 | 4 | 162 | 1% | HDX | 2026-04-07 |
2020-05-15T00:00:00 | 15 | 8 | 3 | null | 1 | 1 | null | null | 3,707 | 48,985 | 168 | 0 | 4 | 112 | 0 | 5 | 287 | 0% | HDX | 2026-04-07 |
2020-07-02T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-06-03T00:00:00 | 142 | 126 | 1 | 7 | 2 | 6 | null | null | 4,120 | 120,429 | 1,219 | 6 | 15 | 246 | 3 | 17 | 1,486 | 3% | HDX | 2026-04-07 |
2020-06-24T00:00:00 | 186 | 147 | 16 | 4 | 10 | null | 1 | null | 4,034 | 227,375 | 3,468 | 38 | 74 | 1,486 | 3 | 78 | 5,034 | 5% | HDX | 2026-04-07 |
2020-05-24T00:00:00 | 88 | 73 | null | 4 | null | null | null | 8 | 4,048 | 81,010 | 423 | 0 | 1 | 152 | 0 | 5 | 582 | 2% | HDX | 2026-04-07 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-05-07T00:00:00 | 25 | 21 | null | 2 | null | null | 2 | null | 1,843 | 28,360 | 88 | 1 | 0 | 93 | 0 | 4 | 187 | 1% | HDX | 2026-04-07 |
2020-04-09T00:00:00 | 1 | null | null | null | null | null | null | null | 294 | 2,790 | 48 | 2 | 0 | 4 | 0 | 2 | 56 | 0% | HDX | 2026-04-07 |
2020-04-21T00:00:00 | 3 | 2 | null | 1 | null | null | null | null | 745 | 8,698 | 93 | 0 | 0 | 16 | 0 | 3 | 114 | 0% | HDX | 2026-04-07 |
2020-04-05T00:00:00 | 5 | 3 | null | null | null | null | null | null | 59 | 1,843 | 37 | 1 | 0 | 4 | 2 | 2 | 43 | 8% | HDX | 2026-04-07 |
2020-04-06T00:00:00 | 1 | null | null | 1 | null | null | null | null | 164 | 2,007 | 36 | 1 | 0 | 4 | 0 | 2 | 44 | 1% | HDX | 2026-04-07 |
2020-07-17T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-05-27T00:00:00 | 30 | 15 | null | 1 | null | 8 | null | 2 | 4,352 | 91,616 | 542 | 1 | 14 | 181 | 0 | 6 | 731 | 1% | HDX | 2026-04-07 |
2020-05-16T00:00:00 | 19 | 2 | 11 | 2 | null | 1 | null | 3 | 4,044 | 53,029 | 186 | 0 | 1 | 113 | 0 | 5 | 306 | 0% | HDX | 2026-04-07 |
2020-04-25T00:00:00 | 5 | 1 | null | null | null | null | null | null | 1,019 | 12,688 | 88 | 0 | 4 | 29 | 0 | 3 | 122 | 0% | HDX | 2026-04-07 |
2020-03-27T00:00:00 | 4 | null | null | 1 | null | null | null | null | null | null | 14 | null | 0 | 0 | 0 | 0 | 14 | #DIV/0! | HDX | 2026-04-07 |
2020-06-30T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-04-20T00:00:00 | 3 | null | null | null | null | null | null | null | 396 | 7,953 | 90 | 1 | 0 | 16 | 0 | 3 | 111 | 1% | HDX | 2026-04-07 |
2020-04-03T00:00:00 | 6 | 6 | null | null | null | null | null | null | 74 | 1,222 | 30 | 2 | 0 | 3 | 0 | 0 | 35 | 8% | HDX | 2026-04-07 |
2020-05-31T00:00:00 | 109 | 89 | null | 5 | null | null | null | 2 | 2,836 | 109,451 | 950 | 4 | 1 | 209 | 3 | 11 | 1,172 | 4% | HDX | 2026-04-07 |
2020-05-28T00:00:00 | 100 | 94 | 2 | 3 | null | null | null | 1 | 4,950 | 96,566 | 631 | 1 | 10 | 191 | 1 | 7 | 831 | 2% | HDX | 2026-04-07 |
2020-06-21T00:00:00 | 63 | 31 | 9 | 5 | 4 | 3 | 2 | 1 | 4,457 | 216,328 | 3,243 | 32 | 91 | 1,213 | 2 | 74 | 4,532 | 1% | HDX | 2026-04-07 |
2020-04-28T00:00:00 | 2 | null | null | null | null | null | null | null | 1,080 | 15,668 | 71 | 0 | 0 | 50 | 0 | 3 | 126 | 0% | HDX | 2026-04-07 |
2020-04-11T00:00:00 | 4 | null | null | null | null | null | null | null | 345 | 3,577 | 54 | 0 | 6 | 10 | 0 | 3 | 69 | 1% | HDX | 2026-04-07 |
2020-06-04T00:00:00 | 150 | 123 | 6 | 2 | 1 | 13 | 3 | 2 | 5,141 | 125,570 | 1,366 | 16 | 4 | 250 | 1 | 18 | 1,636 | 3% | HDX | 2026-04-07 |
2020-07-22T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-06-17T00:00:00 | 129 | 85 | 10 | 5 | 1 | 6 | 7 | 11 | 5,274 | 197,361 | 2,845 | 30 | 111 | 849 | 2 | 63 | 3,757 | 2% | HDX | 2026-04-07 |
2020-03-21T00:00:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 8 | null | 0 | 0 | 0 | 0 | 8 | #DIV/0! | HDX | 2026-04-07 |
2020-04-14T00:00:00 | 8 | 4 | null | null | null | null | null | null | 447 | 4,557 | 63 | 0 | 0 | 14 | 0 | 3 | 82 | 2% | HDX | 2026-04-07 |
2020-05-29T00:00:00 | 137 | 109 | null | 8 | 1 | 17 | null | null | 5,015 | 101,581 | 761 | 4 | 6 | 197 | 1 | 8 | 968 | 3% | HDX | 2026-04-07 |
2020-07-12T00:00:00 | 206 | null | null | null | null | null | null | null | 3,922 | 289,550 | null | 31 | 250 | 4,556 | 1 | 128 | null | null | HDX | 2026-04-07 |
2020-05-13T00:00:00 | 2 | null | 1 | null | null | null | null | 1 | 2,650 | 41,689 | 148 | 0 | 2 | 108 | 0 | 5 | 263 | 0% | HDX | 2026-04-07 |
2020-05-20T00:00:00 | 24 | 9 | null | null | null | 8 | null | 7 | 3,460 | 65,760 | 260 | 0 | 2 | 122 | 0 | 5 | 389 | 1% | HDX | 2026-04-07 |
2020-06-09T00:00:00 | 190 | 153 | 3 | 16 | null | 10 | 3 | 2 | 4,599 | 152,334 | 1,923 | 32 | 18 | 379 | 5 | 32 | 2,336 | 4% | HDX | 2026-04-07 |
2020-05-04T00:00:00 | 5 | null | null | null | null | 1 | null | null | 1,788 | 24,088 | 60 | 0 | 0 | 75 | 0 | 3 | 140 | 0% | HDX | 2026-04-07 |
2020-03-17T00:00:00 | null | null | null | null | null | null | null | null | null | null | 5 | null | 0 | 0 | 0 | 0 | 5 | #DIV/0! | HDX | 2026-04-07 |
2020-06-01T00:00:00 | 85 | 72 | 3 | 5 | null | 1 | null | 4 | 2,926 | 112,377 | 1,026 | 4 | 8 | 217 | 1 | 12 | 1,257 | 3% | HDX | 2026-04-07 |
2020-06-06T00:00:00 | 129 | 101 | 6 | 5 | null | 10 | null | 5 | 5,500 | 136,868 | 1,631 | 27 | 19 | 281 | 1 | 20 | 1,934 | 2% | HDX | 2026-04-07 |
2020-04-30T00:00:00 | 1 | null | null | null | null | 1 | null | null | 1,408 | 17,842 | 67 | 0 | 1 | 59 | 0 | 3 | 131 | 0% | HDX | 2026-04-07 |
2020-04-16T00:00:00 | 7 | 1 | null | null | null | null | null | null | 401 | 5,389 | 72 | 1 | 0 | 15 | 0 | 3 | 92 | 2% | HDX | 2026-04-07 |
2020-04-15T00:00:00 | 3 | 3 | null | null | null | null | null | null | 431 | 4,988 | 65 | 0 | 1 | 15 | 0 | 3 | 85 | 1% | HDX | 2026-04-07 |
2020-06-18T00:00:00 | 195 | 144 | 4 | 4 | 7 | 12 | null | 12 | 4,853 | 202,214 | 2,953 | 27 | 85 | 934 | 2 | 65 | 3,954 | 4% | HDX | 2026-04-07 |
2020-03-19T00:00:00 | 3 | 3 | null | null | null | null | null | null | null | null | 8 | null | 0 | 0 | 0 | 0 | 8 | #DIV/0! | HDX | 2026-04-07 |
2020-04-24T00:00:00 | 1 | null | null | null | null | null | null | null | 933 | 11,669 | 87 | 0 | 4 | 25 | 0 | 3 | 117 | 0% | HDX | 2026-04-07 |
2020-05-21T00:00:00 | 9 | 3 | 1 | null | 2 | 2 | null | 1 | 3,747 | 69,507 | 268 | 0 | 1 | 123 | 0 | 5 | 398 | 0% | HDX | 2026-04-07 |
2020-06-05T00:00:00 | 169 | 138 | 5 | 11 | null | 6 | 4 | 4 | 5,798 | 131,368 | 1,522 | 18 | 12 | 262 | 1 | 19 | 1,805 | 3% | HDX | 2026-04-07 |
2020-07-08T00:00:00 | 199 | null | null | null | null | null | null | null | 4,162 | 272,454 | null | 31 | 139 | 3,440 | 0 | 120 | null | null | HDX | 2026-04-07 |
2020-07-14T00:00:00 | 212 | null | null | null | null | null | null | null | 3,607 | 297,542 | null | 34 | 105 | 4,717 | 7 | null | null | null | HDX | 2026-04-07 |
2020-03-20T00:00:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 8 | null | 0 | 0 | 0 | 0 | 8 | #DIV/0! | HDX | 2026-04-07 |
2020-03-25T00:00:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 11 | null | 0 | 0 | 0 | 0 | 11 | #DIV/0! | HDX | 2026-04-07 |
2020-07-18T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-03-15T00:00:00 | 5 | 5 | null | null | null | null | null | null | 117 | 118 | 4 | null | 0 | 0 | 0 | 0 | 4 | 4% | HDX | 2026-04-07 |
2020-03-29T00:00:00 | 5 | 3 | null | 2 | null | null | null | null | 87 | 884 | 16 | 1 | 1 | 2 | 0 | 0 | 19 | 6% | HDX | 2026-04-07 |
2020-04-19T00:00:00 | 3 | 3 | null | null | null | null | null | null | 667 | 7,557 | 87 | 1 | 0 | 16 | 0 | 3 | 108 | 0% | HDX | 2026-04-07 |
2020-05-23T00:00:00 | 61 | 48 | 7 | 2 | 3 | 1 | null | null | 3,757 | 76,962 | 336 | 0 | 23 | 151 | 0 | 5 | 494 | 2% | HDX | 2026-04-07 |
2020-07-05T00:00:00 | 178 | null | null | null | null | null | null | null | 3,315 | 263,897 | null | 26 | 116 | 3,134 | 0 | 118 | null | null | HDX | 2026-04-07 |
2020-03-18T00:00:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 5 | null | 0 | 0 | 0 | 0 | 5 | #DIV/0! | HDX | 2026-04-07 |
2020-06-16T00:00:00 | 109 | 81 | 4 | 9 | 3 | 3 | 4 | 3 | 5,102 | 192,087 | 2,829 | 32 | 118 | 738 | 1 | 61 | 3,630 | 2% | HDX | 2026-04-07 |
2020-07-16T00:00:00 | 328 | null | null | null | null | null | null | null | 6,911 | 309,639 | null | 37 | 46 | 4,814 | 2 | null | null | null | HDX | 2026-04-07 |
2020-07-07T00:00:00 | 108 | null | null | null | null | null | null | null | 1,969 | 268,292 | null | 31 | 102 | 3,301 | 1 | 120 | null | null | HDX | 2026-04-07 |
2020-05-05T00:00:00 | 5 | 2 | null | 1 | 2 | null | null | null | 1,047 | 25,135 | 48 | 0 | 16 | 91 | 1 | 4 | 145 | 0% | HDX | 2026-04-07 |
2020-05-01T00:00:00 | 2 | null | 1 | 1 | null | null | null | null | 912 | 18,754 | 62 | 0 | 7 | 66 | 0 | 3 | 133 | 0% | HDX | 2026-04-07 |
2020-07-19T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-04-27T00:00:00 | 1 | null | null | null | null | null | null | null | 943 | 14,588 | 69 | 0 | 9 | 50 | 0 | 3 | 124 | 0% | HDX | 2026-04-07 |
2020-06-20T00:00:00 | 399 | 221 | 133 | 9 | null | 18 | 1 | 2 | 4,848 | 211,871 | 3,273 | 30 | 95 | 1,132 | 0 | 72 | 4,496 | 8% | HDX | 2026-04-07 |
2020-05-12T00:00:00 | 11 | null | 1 | null | 8 | 1 | null | 1 | 2,424 | 39,048 | 148 | 0 | 1 | 106 | 0 | 5 | 261 | 0% | HDX | 2026-04-07 |
2020-07-28T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-05-30T00:00:00 | 95 | 56 | 3 | 22 | 1 | 5 | null | 3 | 5,034 | 106,615 | 845 | 5 | 11 | 208 | 0 | 8 | 1,063 | 2% | HDX | 2026-04-07 |
2020-07-20T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-06-11T00:00:00 | 164 | 104 | 26 | 2 | null | 22 | 4 | 4 | 6,630 | 165,151 | 2,194 | 32 | 33 | 434 | 5 | 40 | 2,670 | 2% | HDX | 2026-04-07 |
2020-04-22T00:00:00 | 2 | null | null | null | 1 | null | null | null | 1,073 | 9,771 | 90 | 0 | 5 | 21 | 0 | 3 | 116 | 0% | HDX | 2026-04-07 |
2020-05-09T00:00:00 | 16 | 13 | null | null | null | 1 | 2 | null | 2,383 | 32,689 | 106 | 0 | 2 | 97 | 1 | 5 | 210 | 1% | HDX | 2026-04-07 |
2020-06-10T00:00:00 | 170 | 81 | 57 | 7 | null | 13 | 2 | 7 | 6,187 | 158,521 | 2,068 | 32 | 18 | 401 | 3 | 35 | 2,506 | 3% | HDX | 2026-04-07 |
2020-04-29T00:00:00 | 4 | null | null | 1 | null | null | null | null | 766 | 16,434 | 67 | 0 | 8 | 58 | 0 | 3 | 130 | 1% | HDX | 2026-04-07 |
2020-06-08T00:00:00 | 136 | 115 | 2 | 9 | null | null | 1 | 7 | 4,775 | 147,735 | 1,766 | 36 | 17 | 361 | 0 | 27 | 2,156 | 3% | HDX | 2026-04-07 |
2020-07-23T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-07-15T00:00:00 | 294 | null | null | null | null | null | null | null | 5,186 | 302,728 | null | 36 | 51 | 4,768 | 2 | null | null | null | HDX | 2026-04-07 |
2020-05-08T00:00:00 | 3 | 3 | null | null | null | null | null | null | 1,861 | 30,306 | 93 | 1 | 2 | 95 | 0 | 4 | 194 | 0% | HDX | 2026-04-07 |
2020-05-26T00:00:00 | 46 | 13 | 11 | null | null | 15 | null | 3 | 3,410 | 87,264 | 526 | 1 | 8 | 167 | 1 | 6 | 701 | 1% | HDX | 2026-04-07 |
2020-04-13T00:00:00 | 3 | 3 | null | null | null | null | null | null | 247 | 4,110 | 55 | 0 | 4 | 14 | 0 | 3 | 74 | 1% | HDX | 2026-04-07 |
2020-07-25T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-05-10T00:00:00 | 29 | 21 | 7 | 1 | null | null | null | null | 2,171 | 34,860 | 133 | 0 | 2 | 99 | 0 | 5 | 239 | 1% | HDX | 2026-04-07 |
2020-05-14T00:00:00 | 9 | 5 | 4 | null | null | null | null | null | 3,580 | 45,278 | 157 | 0 | 0 | 108 | 0 | 5 | 272 | 0% | HDX | 2026-04-07 |
2020-07-13T00:00:00 | 203 | null | null | null | null | null | null | null | 4,385 | 293,935 | null | 33 | 56 | 4,612 | 11 | 139 | null | null | HDX | 2026-04-07 |
2020-04-18T00:00:00 | 9 | 4 | null | 1 | null | null | null | null | 659 | 6,890 | 84 | 1 | 1 | 16 | 0 | 3 | 105 | 1% | HDX | 2026-04-07 |
2020-04-10T00:00:00 | 9 | null | null | null | null | null | null | null | 442 | 3,232 | 57 | 1 | 0 | 4 | 0 | 2 | 65 | 2% | HDX | 2026-04-07 |
2020-06-27T00:00:00 | 145 | 94 | 10 | 22 | null | 10 | null | null | 5,552 | 243,016 | 3,459 | 34 | 327 | 2,015 | 5 | 94 | 5,570 | 3% | HDX | 2026-04-07 |
2020-07-21T00:00:00 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-07 |
2020-03-13T00:00:00 | 1 | 1 | null | null | null | null | null | null | 62 | 62 | 1 | null | 0 | 0 | 0 | 0 | 1 | 2% | HDX | 2026-04-07 |
2020-05-03T00:00:00 | 2 | null | null | 1 | null | null | 1 | null | 1,560 | 22,330 | 55 | 0 | 6 | 75 | 0 | 3 | 135 | 0% | HDX | 2026-04-07 |
2020-04-02T00:00:00 | 0 | null | null | null | null | null | null | null | null | null | 25 | 0 | 0 | 2 | 0 | 0 | 29 | #DIV/0! | HDX | 2026-04-07 |
2020-03-14T00:00:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | null | null | 0 | 0 | 0 | 0 | 4 | #DIV/0! | HDX | 2026-04-07 |
2020-04-04T00:00:00 | 3 | 3 | null | null | null | null | null | null | 89 | 1,311 | 32 | 1 | 0 | 4 | 0 | 0 | 38 | 3% | HDX | 2026-04-07 |
2020-06-23T00:00:00 | 185 | 160 | 2 | 7 | 4 | 2 | 7 | 1 | 3,775 | 223,341 | 3,359 | 38 | 115 | 1,412 | 0 | 75 | 4,848 | 5% | HDX | 2026-04-07 |
End of preview. Expand in Data Studio
Ethiopia: Coronavirus(COVID-19) Subnational Cases
Publisher: OCHA Ethiopia · Source: HDX · License: cc-by · Updated: 2026-01-16
Abstract
This dataset contains the number of confirmed cases, recoveries and deaths by admin 1 due to the Coronavirus pandemic in Ethiopia.
Each row in this dataset represents geolocated point observations. Temporal coverage is indicated by the date_as_of column(s). Geographic scope: ETH.
Curated into ML-ready Parquet format by Electric Sheep Africa.
Dataset Characteristics
| Domain | Public health |
| Unit of observation | Geolocated point observations |
| Rows (total) | 141 |
| Columns | 21 (17 numeric, 3 categorical, 1 datetime) |
| Train split | 112 rows |
| Test split | 28 rows |
| Geographic scope | ETH |
| Publisher | OCHA Ethiopia |
| HDX last updated | 2026-01-16 |
Variables
Geographic — tigray (range 0.0–31.0), cumulative_total (range 62.0–309639.0), newly_recovered (range 0.0–473.0), daily_death (range 0.0–11.0), cumulative_total_covid_19_cases (range 1.0–5846.0) and 1 others.
Temporal — date_as_of.
Outcome / Measurement — case_in_last_24_hours (range 0.0–399.0), total_patients_in_treatment_centers (range 1.0–3646.0), total_recovered (range 0.0–4814.0), total_deaths (range 0.0–139.0).
Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-07).
Other — addis_ababa (range 0.0–232.0), somali (range 0.0–133.0), oromia (range 0.0–22.0), afar (range 0.0–11.0), amhara (range 0.0–33.0) and 3 others.
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-ethiopia-coronavirus-covid-19-subnational-cases")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
date_as_of |
datetime64[ns] | 0.7% | |
case_in_last_24_hours |
float64 | 16.3% | 0.0 – 399.0 (mean 67.7966) |
addis_ababa |
float64 | 44.0% | 0.0 – 232.0 (mean 50.6456) |
somali |
float64 | 64.5% | 0.0 – 133.0 (mean 8.26) |
oromia |
float64 | 58.2% | 0.0 – 22.0 (mean 5.1017) |
afar |
float64 | 76.6% | 0.0 – 11.0 (mean 2.3939) |
amhara |
float64 | 62.4% | 0.0 – 33.0 (mean 5.7736) |
snnp |
float64 | 78.7% | 0.0 – 7.0 (mean 2.1) |
tigray |
float64 | 66.7% | 0.0 – 31.0 (mean 4.2553) |
test_in_last_24_hours |
float64 | 25.5% | 59.0 – 6911.0 (mean 2792.9429) |
cumulative_total |
float64 | 25.5% | 62.0 – 309639.0 (mean 99036.4476) |
total_patients_in_treatment_centers |
float64 | 24.1% | 1.0 – 3646.0 (mean 789.4579) |
patients_in_intensive_care |
float64 | 25.5% | 0.0 – 39.0 (mean 11.6381) |
newly_recovered |
float64 | 15.6% | 0.0 – 473.0 (mean 33.4454) |
total_recovered |
float64 | 15.6% | 0.0 – 4814.0 (mean 626.6303) |
daily_death |
float64 | 14.9% | 0.0 – 11.0 (mean 1.1167) |
total_deaths |
float64 | 17.7% | 0.0 – 139.0 (mean 24.1897) |
cumulative_total_covid_19_cases |
float64 | 23.4% | 1.0 – 5846.0 (mean 1076.8333) |
of_daily_cases2 |
object | 24.1% | 0%, 1%, 2% |
esa_source |
object | 0.0% | HDX |
esa_processed |
object | 0.0% | 2026-04-07 |
Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
case_in_last_24_hours |
0.0 | 399.0 | 67.7966 | 12.5 |
addis_ababa |
0.0 | 232.0 | 50.6456 | 14.0 |
somali |
0.0 | 133.0 | 8.26 | 4.0 |
oromia |
0.0 | 22.0 | 5.1017 | 3.0 |
afar |
0.0 | 11.0 | 2.3939 | 2.0 |
amhara |
0.0 | 33.0 | 5.7736 | 2.0 |
snnp |
0.0 | 7.0 | 2.1 | 2.0 |
tigray |
0.0 | 31.0 | 4.2553 | 2.0 |
test_in_last_24_hours |
59.0 | 6911.0 | 2792.9429 | 2926.0 |
cumulative_total |
62.0 | 309639.0 | 99036.4476 | 62300.0 |
total_patients_in_treatment_centers |
1.0 | 3646.0 | 789.4579 | 93.0 |
patients_in_intensive_care |
0.0 | 39.0 | 11.6381 | 1.0 |
newly_recovered |
0.0 | 473.0 | 33.4454 | 4.0 |
total_recovered |
0.0 | 4814.0 | 626.6303 | 106.0 |
daily_death |
0.0 | 11.0 | 1.1167 | 0.0 |
Curation
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 4 column(s) with >80% missing values were removed: dire_dawa, harar, benish, gambela. 6 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
Limitations
- Data originates from OCHA Ethiopia and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling:
addis_ababa,somali,oromia,afar,amhara,snnp,tigray,test_in_last_24_hours.... - Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{hdx_africa_ethiopia_coronavirus_covid_19_subnational_cases,
title = {Ethiopia: Coronavirus(COVID-19) Subnational Cases},
author = {OCHA Ethiopia},
year = {2026},
url = {https://data.humdata.org/dataset/ethiopia-coronavirus-covid-19-subnational-cases},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.
- Downloads last month
- 33