johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
34,865 rows where country_or_region = "China" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
province_or_state >30
- Unknown 302
- Zhejiang 253
- Anhui 252
- Beijing 252
- Chongqing 252
- Fujian 252
- Gansu 252
- Guangdong 252
- Guangxi 252
- Guizhou 252
- Hainan 252
- Hebei 252
- Heilongjiang 252
- Henan 252
- Hong Kong 252
- Hubei 252
- Hunan 252
- Inner Mongolia 252
- Jiangsu 252
- Jiangxi 252
- Jilin 252
- Liaoning 252
- Macau 252
- Ningxia 252
- Qinghai 252
- Shaanxi 252
- Shandong 252
- Shanghai 252
- Shanxi 252
- Sichuan 252
- …
country_or_region 1
- China · 8,619 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
122536 | 122536 | 2020-11-18 | China | Zhejiang | 1292 | 1 | 1283 | 8 | 29.1832 | 120.0934 | 2020-11-19 05:25:23 | Zhejiang, China | ||
126371 | 126371 | 2020-11-18 | China | Unknown | 6244 | 0 | 0 | 0 | 2020-11-19 05:25:23 | Unknown, China | ||||
3338392 | 3338392 | 2020-11-17 | China | Anhui | 992 | 6 | 985 | 1 | 31.8257 | 117.2264 | 2020-11-18 05:40:31 | Anhui, China | ||
3338393 | 3338393 | 2020-11-17 | China | Beijing | 947 | 9 | 933 | 5 | 40.1824 | 116.4142 | 2020-11-18 05:40:31 | Beijing, China | ||
3338394 | 3338394 | 2020-11-17 | China | Chongqing | 589 | 6 | 583 | 0 | 30.0572 | 107.874 | 2020-11-18 05:40:31 | Chongqing, China | ||
3338395 | 3338395 | 2020-11-17 | China | Fujian | 461 | 1 | 431 | 29 | 26.0789 | 117.9874 | 2020-11-18 05:40:31 | Fujian, China | ||
3338396 | 3338396 | 2020-11-17 | China | Gansu | 181 | 2 | 177 | 2 | 35.7518 | 104.2861 | 2020-11-18 05:40:31 | Gansu, China | ||
3338397 | 3338397 | 2020-11-17 | China | Guangdong | 1972 | 8 | 1930 | 34 | 23.3417 | 113.4244 | 2020-11-18 05:40:31 | Guangdong, China | ||
3338398 | 3338398 | 2020-11-17 | China | Guangxi | 260 | 2 | 258 | 0 | 23.8298 | 108.7881 | 2020-11-18 05:40:31 | Guangxi, China | ||
3338399 | 3338399 | 2020-11-17 | China | Guizhou | 147 | 2 | 145 | 0 | 26.8154 | 106.8748 | 2020-11-18 05:40:31 | Guizhou, China | ||
3338400 | 3338400 | 2020-11-17 | China | Hainan | 171 | 6 | 165 | 0 | 19.1959 | 109.7453 | 2020-11-18 05:40:31 | Hainan, China | ||
3338401 | 3338401 | 2020-11-17 | China | Hebei | 373 | 6 | 363 | 4 | 37.8957 | 114.9042 | 2020-11-18 05:40:31 | Hebei, China | ||
3338402 | 3338402 | 2020-11-17 | China | Heilongjiang | 949 | 13 | 936 | 0 | 47.862 | 127.7615 | 2020-11-18 05:40:31 | Heilongjiang, China | ||
3338403 | 3338403 | 2020-11-17 | China | Henan | 1288 | 22 | 1260 | 6 | 33.882 | 113.614 | 2020-11-18 05:40:31 | Henan, China | ||
3338404 | 3338404 | 2020-11-17 | China | Hong Kong | 5470 | 108 | 5212 | 150 | 22.3 | 114.2 | 2020-11-18 05:40:31 | Hong Kong, China | ||
3338405 | 3338405 | 2020-11-17 | China | Hubei | 68148 | 4512 | 63628 | 8 | 30.9756 | 112.2707 | 2020-11-18 05:40:31 | Hubei, China | ||
3338406 | 3338406 | 2020-11-17 | China | Hunan | 1020 | 4 | 1015 | 1 | 27.6104 | 111.7088 | 2020-11-18 05:40:31 | Hunan, China | ||
3338407 | 3338407 | 2020-11-17 | China | Inner Mongolia | 307 | 1 | 287 | 19 | 44.0935 | 113.9448 | 2020-11-18 05:40:31 | Inner Mongolia, China | ||
3338408 | 3338408 | 2020-11-17 | China | Jiangsu | 677 | 0 | 668 | 9 | 32.9711 | 119.455 | 2020-11-18 05:40:31 | Jiangsu, China | ||
3338409 | 3338409 | 2020-11-17 | China | Jiangxi | 935 | 1 | 934 | 0 | 27.614 | 115.7221 | 2020-11-18 05:40:31 | Jiangxi, China | ||
3338410 | 3338410 | 2020-11-17 | China | Jilin | 157 | 2 | 155 | 0 | 43.6661 | 126.1923 | 2020-11-18 05:40:31 | Jilin, China | ||
3338411 | 3338411 | 2020-11-17 | China | Liaoning | 289 | 2 | 280 | 7 | 41.2956 | 122.6085 | 2020-11-18 05:40:31 | Liaoning, China | ||
3338412 | 3338412 | 2020-11-17 | China | Macau | 46 | 0 | 46 | 0 | 22.1667 | 113.55 | 2020-11-18 05:40:31 | Macau, China | ||
3338413 | 3338413 | 2020-11-17 | China | Ningxia | 75 | 0 | 75 | 0 | 37.2692 | 106.1655 | 2020-11-18 05:40:31 | Ningxia, China | ||
3338414 | 3338414 | 2020-11-17 | China | Qinghai | 18 | 0 | 18 | 0 | 35.7452 | 95.9956 | 2020-11-18 05:40:31 | Qinghai, China | ||
3338415 | 3338415 | 2020-11-17 | China | Shaanxi | 487 | 3 | 443 | 41 | 35.1917 | 108.8701 | 2020-11-18 05:40:31 | Shaanxi, China | ||
3338416 | 3338416 | 2020-11-17 | China | Shandong | 849 | 7 | 841 | 1 | 36.3427 | 118.1498 | 2020-11-18 05:40:31 | Shandong, China | ||
3338417 | 3338417 | 2020-11-17 | China | Shanghai | 1285 | 7 | 1207 | 71 | 31.202 | 121.4491 | 2020-11-18 05:40:31 | Shanghai, China | ||
3338418 | 3338418 | 2020-11-17 | China | Shanxi | 220 | 0 | 213 | 7 | 37.5777 | 112.2922 | 2020-11-18 05:40:31 | Shanxi, China | ||
3338419 | 3338419 | 2020-11-17 | China | Sichuan | 792 | 3 | 743 | 46 | 30.6171 | 102.7103 | 2020-11-18 05:40:31 | Sichuan, China | ||
3338420 | 3338420 | 2020-11-17 | China | Tianjin | 291 | 3 | 274 | 14 | 39.3054 | 117.323 | 2020-11-18 05:40:31 | Tianjin, China | ||
3338421 | 3338421 | 2020-11-17 | China | Tibet | 1 | 0 | 1 | 0 | 31.6927 | 88.0924 | 2020-11-18 05:40:31 | Tibet, China | ||
3338422 | 3338422 | 2020-11-17 | China | Xinjiang | 980 | 3 | 969 | 8 | 41.1129 | 85.2401 | 2020-11-18 05:40:31 | Xinjiang, China | ||
3338423 | 3338423 | 2020-11-17 | China | Yunnan | 217 | 2 | 209 | 6 | 24.974 | 101.487 | 2020-11-18 05:40:31 | Yunnan, China | ||
3338424 | 3338424 | 2020-11-17 | China | Zhejiang | 1291 | 1 | 1283 | 7 | 29.1832 | 120.0934 | 2020-11-18 05:40:31 | Zhejiang, China | ||
3342259 | 3342259 | 2020-11-17 | China | Unknown | 6241 | 0 | 0 | 0 | 2020-11-18 05:40:31 | Unknown, China | ||||
3169437 | 3169437 | 2020-11-16 | China | Anhui | 992 | 6 | 985 | 1 | 31.8257 | 117.2264 | 2020-11-17 05:25:54 | Anhui, China | ||
3169438 | 3169438 | 2020-11-16 | China | Beijing | 947 | 9 | 933 | 5 | 40.1824 | 116.4142 | 2020-11-17 05:25:54 | Beijing, China | ||
3169439 | 3169439 | 2020-11-16 | China | Chongqing | 589 | 6 | 583 | 0 | 30.0572 | 107.874 | 2020-11-17 05:25:54 | Chongqing, China | ||
3169440 | 3169440 | 2020-11-16 | China | Fujian | 461 | 1 | 430 | 30 | 26.0789 | 117.9874 | 2020-11-17 05:25:54 | Fujian, China | ||
3169441 | 3169441 | 2020-11-16 | China | Gansu | 181 | 2 | 177 | 2 | 35.7518 | 104.2861 | 2020-11-17 05:25:54 | Gansu, China | ||
3169442 | 3169442 | 2020-11-16 | China | Guangdong | 1971 | 8 | 1925 | 38 | 23.3417 | 113.4244 | 2020-11-17 05:25:54 | Guangdong, China | ||
3169443 | 3169443 | 2020-11-16 | China | Guangxi | 260 | 2 | 258 | 0 | 23.8298 | 108.7881 | 2020-11-17 05:25:54 | Guangxi, China | ||
3169444 | 3169444 | 2020-11-16 | China | Guizhou | 147 | 2 | 145 | 0 | 26.8154 | 106.8748 | 2020-11-17 05:25:54 | Guizhou, China | ||
3169445 | 3169445 | 2020-11-16 | China | Hainan | 171 | 6 | 165 | 0 | 19.1959 | 109.7453 | 2020-11-17 05:25:54 | Hainan, China | ||
3169446 | 3169446 | 2020-11-16 | China | Hebei | 373 | 6 | 363 | 4 | 37.8957 | 114.9042 | 2020-11-17 05:25:54 | Hebei, China | ||
3169447 | 3169447 | 2020-11-16 | China | Heilongjiang | 949 | 13 | 936 | 0 | 47.862 | 127.7615 | 2020-11-17 05:25:54 | Heilongjiang, China | ||
3169448 | 3169448 | 2020-11-16 | China | Henan | 1288 | 22 | 1259 | 7 | 33.882 | 113.614 | 2020-11-17 05:25:54 | Henan, China | ||
3169449 | 3169449 | 2020-11-16 | China | Hong Kong | 5466 | 108 | 5198 | 160 | 22.3 | 114.2 | 2020-11-17 05:25:54 | Hong Kong, China | ||
3169450 | 3169450 | 2020-11-16 | China | Hubei | 68148 | 4512 | 63627 | 9 | 30.9756 | 112.2707 | 2020-11-17 05:25:54 | Hubei, China | ||
3169451 | 3169451 | 2020-11-16 | China | Hunan | 1020 | 4 | 1015 | 1 | 27.6104 | 111.7088 | 2020-11-17 05:25:54 | Hunan, China | ||
3169452 | 3169452 | 2020-11-16 | China | Inner Mongolia | 307 | 1 | 286 | 20 | 44.0935 | 113.9448 | 2020-11-17 05:25:54 | Inner Mongolia, China | ||
3169453 | 3169453 | 2020-11-16 | China | Jiangsu | 677 | 0 | 667 | 10 | 32.9711 | 119.455 | 2020-11-17 05:25:54 | Jiangsu, China | ||
3169454 | 3169454 | 2020-11-16 | China | Jiangxi | 935 | 1 | 934 | 0 | 27.614 | 115.7221 | 2020-11-17 05:25:54 | Jiangxi, China | ||
3169455 | 3169455 | 2020-11-16 | China | Jilin | 157 | 2 | 155 | 0 | 43.6661 | 126.1923 | 2020-11-17 05:25:54 | Jilin, China | ||
3169456 | 3169456 | 2020-11-16 | China | Liaoning | 288 | 2 | 280 | 6 | 41.2956 | 122.6085 | 2020-11-17 05:25:54 | Liaoning, China | ||
3169457 | 3169457 | 2020-11-16 | China | Macau | 46 | 0 | 46 | 0 | 22.1667 | 113.55 | 2020-11-17 05:25:54 | Macau, China | ||
3169458 | 3169458 | 2020-11-16 | China | Ningxia | 75 | 0 | 75 | 0 | 37.2692 | 106.1655 | 2020-11-17 05:25:54 | Ningxia, China | ||
3169459 | 3169459 | 2020-11-16 | China | Qinghai | 18 | 0 | 18 | 0 | 35.7452 | 95.9956 | 2020-11-17 05:25:54 | Qinghai, China | ||
3169460 | 3169460 | 2020-11-16 | China | Shaanxi | 487 | 3 | 439 | 45 | 35.1917 | 108.8701 | 2020-11-17 05:25:54 | Shaanxi, China | ||
3169461 | 3169461 | 2020-11-16 | China | Shandong | 848 | 7 | 841 | 0 | 36.3427 | 118.1498 | 2020-11-17 05:25:54 | Shandong, China | ||
3169462 | 3169462 | 2020-11-16 | China | Shanghai | 1281 | 7 | 1198 | 76 | 31.202 | 121.4491 | 2020-11-17 05:25:54 | Shanghai, China | ||
3169463 | 3169463 | 2020-11-16 | China | Shanxi | 219 | 0 | 213 | 6 | 37.5777 | 112.2922 | 2020-11-17 05:25:54 | Shanxi, China | ||
3169464 | 3169464 | 2020-11-16 | China | Sichuan | 792 | 3 | 741 | 48 | 30.6171 | 102.7103 | 2020-11-17 05:25:54 | Sichuan, China | ||
3169465 | 3169465 | 2020-11-16 | China | Tianjin | 290 | 3 | 269 | 18 | 39.3054 | 117.323 | 2020-11-17 05:25:54 | Tianjin, China | ||
3169466 | 3169466 | 2020-11-16 | China | Tibet | 1 | 0 | 1 | 0 | 31.6927 | 88.0924 | 2020-11-17 05:25:54 | Tibet, China | ||
3169467 | 3169467 | 2020-11-16 | China | Xinjiang | 980 | 3 | 962 | 15 | 41.1129 | 85.2401 | 2020-11-17 05:25:54 | Xinjiang, China | ||
3169468 | 3169468 | 2020-11-16 | China | Yunnan | 217 | 2 | 209 | 6 | 24.974 | 101.487 | 2020-11-17 05:25:54 | Yunnan, China | ||
3169469 | 3169469 | 2020-11-16 | China | Zhejiang | 1291 | 1 | 1283 | 7 | 29.1832 | 120.0934 | 2020-11-17 05:25:54 | Zhejiang, China | ||
3173304 | 3173304 | 2020-11-16 | China | Unknown | 6232 | 0 | 0 | 0 | 2020-11-17 05:25:54 | Unknown, China | ||||
2880005 | 2880005 | 2020-11-15 | China | Anhui | 992 | 6 | 985 | 1 | 31.8257 | 117.2264 | 2020-11-16 05:25:57 | Anhui, China | ||
2880006 | 2880006 | 2020-11-15 | China | Beijing | 947 | 9 | 932 | 6 | 40.1824 | 116.4142 | 2020-11-16 05:25:57 | Beijing, China | ||
2880007 | 2880007 | 2020-11-15 | China | Chongqing | 589 | 6 | 582 | 1 | 30.0572 | 107.874 | 2020-11-16 05:25:57 | Chongqing, China | ||
2880008 | 2880008 | 2020-11-15 | China | Fujian | 461 | 1 | 426 | 34 | 26.0789 | 117.9874 | 2020-11-16 05:25:57 | Fujian, China | ||
2880009 | 2880009 | 2020-11-15 | China | Gansu | 181 | 2 | 177 | 2 | 35.7518 | 104.2861 | 2020-11-16 05:25:57 | Gansu, China | ||
2880010 | 2880010 | 2020-11-15 | China | Guangdong | 1968 | 8 | 1923 | 37 | 23.3417 | 113.4244 | 2020-11-16 05:25:57 | Guangdong, China | ||
2880011 | 2880011 | 2020-11-15 | China | Guangxi | 260 | 2 | 258 | 0 | 23.8298 | 108.7881 | 2020-11-16 05:25:57 | Guangxi, China | ||
2880012 | 2880012 | 2020-11-15 | China | Guizhou | 147 | 2 | 145 | 0 | 26.8154 | 106.8748 | 2020-11-16 05:25:57 | Guizhou, China | ||
2880013 | 2880013 | 2020-11-15 | China | Hainan | 171 | 6 | 165 | 0 | 19.1959 | 109.7453 | 2020-11-16 05:25:57 | Hainan, China | ||
2880014 | 2880014 | 2020-11-15 | China | Hebei | 373 | 6 | 362 | 5 | 37.8957 | 114.9042 | 2020-11-16 05:25:57 | Hebei, China | ||
2880015 | 2880015 | 2020-11-15 | China | Heilongjiang | 949 | 13 | 936 | 0 | 47.862 | 127.7615 | 2020-11-16 05:25:57 | Heilongjiang, China | ||
2880016 | 2880016 | 2020-11-15 | China | Henan | 1288 | 22 | 1259 | 7 | 33.882 | 113.614 | 2020-11-16 05:25:57 | Henan, China | ||
2880017 | 2880017 | 2020-11-15 | China | Hong Kong | 5458 | 108 | 5194 | 156 | 22.3 | 114.2 | 2020-11-16 05:25:57 | Hong Kong, China | ||
2880018 | 2880018 | 2020-11-15 | China | Hubei | 68148 | 4512 | 63627 | 9 | 30.9756 | 112.2707 | 2020-11-16 05:25:57 | Hubei, China | ||
2880019 | 2880019 | 2020-11-15 | China | Hunan | 1020 | 4 | 1015 | 1 | 27.6104 | 111.7088 | 2020-11-16 05:25:57 | Hunan, China | ||
2880020 | 2880020 | 2020-11-15 | China | Inner Mongolia | 307 | 1 | 282 | 24 | 44.0935 | 113.9448 | 2020-11-16 05:25:57 | Inner Mongolia, China | ||
2880021 | 2880021 | 2020-11-15 | China | Jiangsu | 677 | 0 | 666 | 11 | 32.9711 | 119.455 | 2020-11-16 05:25:57 | Jiangsu, China | ||
2880022 | 2880022 | 2020-11-15 | China | Jiangxi | 935 | 1 | 934 | 0 | 27.614 | 115.7221 | 2020-11-16 05:25:57 | Jiangxi, China | ||
2880023 | 2880023 | 2020-11-15 | China | Jilin | 157 | 2 | 155 | 0 | 43.6661 | 126.1923 | 2020-11-16 05:25:57 | Jilin, China | ||
2880024 | 2880024 | 2020-11-15 | China | Liaoning | 288 | 2 | 280 | 6 | 41.2956 | 122.6085 | 2020-11-16 05:25:57 | Liaoning, China | ||
2880025 | 2880025 | 2020-11-15 | China | Macau | 46 | 0 | 46 | 0 | 22.1667 | 113.55 | 2020-11-16 05:25:57 | Macau, China | ||
2880026 | 2880026 | 2020-11-15 | China | Ningxia | 75 | 0 | 75 | 0 | 37.2692 | 106.1655 | 2020-11-16 05:25:57 | Ningxia, China | ||
2880027 | 2880027 | 2020-11-15 | China | Qinghai | 18 | 0 | 18 | 0 | 35.7452 | 95.9956 | 2020-11-16 05:25:57 | Qinghai, China | ||
2880028 | 2880028 | 2020-11-15 | China | Shaanxi | 487 | 3 | 439 | 45 | 35.1917 | 108.8701 | 2020-11-16 05:25:57 | Shaanxi, China | ||
2880029 | 2880029 | 2020-11-15 | China | Shandong | 848 | 7 | 841 | 0 | 36.3427 | 118.1498 | 2020-11-16 05:25:57 | Shandong, China | ||
2880030 | 2880030 | 2020-11-15 | China | Shanghai | 1277 | 7 | 1183 | 87 | 31.202 | 121.4491 | 2020-11-16 05:25:57 | Shanghai, China | ||
2880031 | 2880031 | 2020-11-15 | China | Shanxi | 219 | 0 | 213 | 6 | 37.5777 | 112.2922 | 2020-11-16 05:25:57 | Shanxi, China | ||
2880032 | 2880032 | 2020-11-15 | China | Sichuan | 786 | 3 | 738 | 45 | 30.6171 | 102.7103 | 2020-11-16 05:25:57 | Sichuan, China | ||
2880033 | 2880033 | 2020-11-15 | China | Tianjin | 289 | 3 | 267 | 19 | 39.3054 | 117.323 | 2020-11-16 05:25:57 | Tianjin, China | ||
2880034 | 2880034 | 2020-11-15 | China | Tibet | 1 | 0 | 1 | 0 | 31.6927 | 88.0924 | 2020-11-16 05:25:57 | Tibet, China |
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CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);