latest_ny_times_counties_with_populations (view)
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
105 rows where state = "Kansas" sorted by cases_per_million descending
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state 1
- Kansas · 105 ✖
date | county | state | fips | cases | deaths | population | deaths_per_million | cases_per_million ▲ |
---|---|---|---|---|---|---|---|---|
2022-05-13 | Norton | Kansas | 20137 | 2153 | 37 | 5361 | 6901 | 401604 |
2022-05-13 | Labette | Kansas | 20099 | 6636 | 74 | 19618 | 3772 | 338260 |
2022-05-13 | Pawnee | Kansas | 20145 | 2138 | 24 | 6414 | 3741 | 333333 |
2022-05-13 | Wilson | Kansas | 20205 | 2828 | 43 | 8525 | 5043 | 331730 |
2022-05-13 | Ellsworth | Kansas | 20053 | 2016 | 32 | 6102 | 5244 | 330383 |
2022-05-13 | Doniphan | Kansas | 20043 | 2456 | 34 | 7600 | 4473 | 323157 |
2022-05-13 | Neosho | Kansas | 20133 | 5168 | 66 | 16007 | 4123 | 322858 |
2022-05-13 | Seward | Kansas | 20175 | 6916 | 61 | 21428 | 2846 | 322755 |
2022-05-13 | Allen | Kansas | 20001 | 3989 | 53 | 12369 | 4284 | 322499 |
2022-05-13 | Kearny | Kansas | 20093 | 1236 | 20 | 3838 | 5211 | 322042 |
2022-05-13 | Nemaha | Kansas | 20131 | 3243 | 60 | 10231 | 5864 | 316977 |
2022-05-13 | Grant | Kansas | 20067 | 2265 | 36 | 7150 | 5034 | 316783 |
2022-05-13 | Finney | Kansas | 20055 | 11545 | 115 | 36467 | 3153 | 316587 |
2022-05-13 | Ford | Kansas | 20057 | 10629 | 113 | 33619 | 3361 | 316160 |
2022-05-13 | Sheridan | Kansas | 20179 | 786 | 18 | 2521 | 7140 | 311781 |
2022-05-13 | Cherokee | Kansas | 20021 | 6158 | 84 | 19939 | 4212 | 308841 |
2022-05-13 | Crawford | Kansas | 20037 | 11966 | 130 | 38818 | 3348 | 308259 |
2022-05-13 | Thomas | Kansas | 20193 | 2394 | 28 | 7777 | 3600 | 307830 |
2022-05-13 | Harper | Kansas | 20077 | 1654 | 27 | 5436 | 4966 | 304267 |
2022-05-13 | Lyon | Kansas | 20111 | 10084 | 122 | 33195 | 3675 | 303780 |
2022-05-13 | Meade | Kansas | 20119 | 1221 | 20 | 4033 | 4959 | 302752 |
2022-05-13 | Bourbon | Kansas | 20011 | 4391 | 52 | 14534 | 3577 | 302119 |
2022-05-13 | Logan | Kansas | 20109 | 844 | 13 | 2794 | 4652 | 302075 |
2022-05-13 | Greenwood | Kansas | 20073 | 1807 | 23 | 5982 | 3844 | 302072 |
2022-05-13 | Reno | Kansas | 20155 | 18632 | 238 | 61998 | 3838 | 300525 |
2022-05-13 | Gove | Kansas | 20063 | 790 | 23 | 2636 | 8725 | 299696 |
2022-05-13 | Coffey | Kansas | 20031 | 2435 | 42 | 8179 | 5135 | 297713 |
2022-05-13 | Montgomery | Kansas | 20125 | 9448 | 154 | 31829 | 4838 | 296836 |
2022-05-13 | Jackson | Kansas | 20085 | 3908 | 29 | 13171 | 2201 | 296712 |
2022-05-13 | Geary | Kansas | 20061 | 9262 | 75 | 31670 | 2368 | 292453 |
2022-05-13 | Republic | Kansas | 20157 | 1354 | 16 | 4636 | 3451 | 292062 |
2022-05-13 | Cowley | Kansas | 20035 | 10194 | 152 | 34908 | 4354 | 292024 |
2022-05-13 | Linn | Kansas | 20107 | 2827 | 28 | 9703 | 2885 | 291353 |
2022-05-13 | Wallace | Kansas | 20199 | 438 | 5 | 1518 | 3293 | 288537 |
2022-05-13 | Wyandotte | Kansas | 20209 | 47365 | 508 | 165429 | 3070 | 286316 |
2022-05-13 | Brown | Kansas | 20013 | 2735 | 46 | 9564 | 4809 | 285968 |
2022-05-13 | Butler | Kansas | 20015 | 19104 | 192 | 66911 | 2869 | 285513 |
2022-05-13 | Ness | Kansas | 20135 | 780 | 18 | 2750 | 6545 | 283636 |
2022-05-13 | Sedgwick | Kansas | 20173 | 145517 | 1424 | 516042 | 2759 | 281986 |
2022-05-13 | Marion | Kansas | 20115 | 3337 | 43 | 11884 | 3618 | 280797 |
2022-05-13 | Harvey | Kansas | 20079 | 9636 | 124 | 34429 | 3601 | 279880 |
2022-05-13 | Rooks | Kansas | 20163 | 1377 | 20 | 4920 | 4065 | 279878 |
2022-05-13 | McPherson | Kansas | 20113 | 7944 | 126 | 28542 | 4414 | 278326 |
2022-05-13 | Shawnee | Kansas | 20177 | 48858 | 633 | 176875 | 3578 | 276228 |
2022-05-13 | Kingman | Kansas | 20095 | 1967 | 28 | 7152 | 3914 | 275027 |
2022-05-13 | Franklin | Kansas | 20059 | 7018 | 81 | 25544 | 3170 | 274741 |
2022-05-13 | Russell | Kansas | 20167 | 1883 | 37 | 6856 | 5396 | 274649 |
2022-05-13 | Rice | Kansas | 20159 | 2614 | 23 | 9537 | 2411 | 274090 |
2022-05-13 | Stafford | Kansas | 20185 | 1139 | 26 | 4156 | 6256 | 274061 |
2022-05-13 | Jewell | Kansas | 20089 | 788 | 13 | 2879 | 4515 | 273706 |
2022-05-13 | Anderson | Kansas | 20003 | 2133 | 29 | 7858 | 3690 | 271443 |
2022-05-13 | Rawlins | Kansas | 20153 | 683 | 9 | 2530 | 3557 | 269960 |
2022-05-13 | Trego | Kansas | 20195 | 756 | 10 | 2803 | 3567 | 269711 |
2022-05-13 | Kiowa | Kansas | 20097 | 667 | 7 | 2475 | 2828 | 269494 |
2022-05-13 | Morris | Kansas | 20127 | 1513 | 28 | 5620 | 4982 | 269217 |
2022-05-13 | Atchison | Kansas | 20005 | 4323 | 34 | 16073 | 2115 | 268960 |
2022-05-13 | Greeley | Kansas | 20071 | 331 | 3 | 1232 | 2435 | 268668 |
2022-05-13 | Stevens | Kansas | 20189 | 1465 | 20 | 5485 | 3646 | 267092 |
2022-05-13 | Rush | Kansas | 20165 | 808 | 18 | 3036 | 5928 | 266139 |
2022-05-13 | Scott | Kansas | 20171 | 1277 | 34 | 4823 | 7049 | 264772 |
2022-05-13 | Marshall | Kansas | 20117 | 2559 | 42 | 9707 | 4326 | 263624 |
2022-05-13 | Saline | Kansas | 20169 | 14159 | 246 | 54224 | 4536 | 261120 |
2022-05-13 | Dickinson | Kansas | 20041 | 4815 | 78 | 18466 | 4223 | 260749 |
2022-05-13 | Chautauqua | Kansas | 20019 | 844 | 17 | 3250 | 5230 | 259692 |
2022-05-13 | Phillips | Kansas | 20147 | 1358 | 30 | 5234 | 5731 | 259457 |
2022-05-13 | Comanche | Kansas | 20033 | 441 | 16 | 1700 | 9411 | 259411 |
2022-05-13 | Washington | Kansas | 20201 | 1400 | 22 | 5406 | 4069 | 258971 |
2022-05-13 | Sherman | Kansas | 20181 | 1514 | 20 | 5917 | 3380 | 255872 |
2022-05-13 | Chase | Kansas | 20017 | 673 | 7 | 2648 | 2643 | 254154 |
2022-05-13 | Jefferson | Kansas | 20087 | 4832 | 63 | 19043 | 3308 | 253741 |
2022-05-13 | Woodson | Kansas | 20207 | 796 | 15 | 3138 | 4780 | 253664 |
2022-05-13 | Clark | Kansas | 20025 | 504 | 8 | 1994 | 4012 | 252758 |
2022-05-13 | Cloud | Kansas | 20029 | 2219 | 36 | 8786 | 4097 | 252560 |
2022-05-13 | Barton | Kansas | 20009 | 6508 | 96 | 25779 | 3723 | 252453 |
2022-05-13 | Ellis | Kansas | 20051 | 7165 | 84 | 28553 | 2941 | 250936 |
2022-05-13 | Sumner | Kansas | 20191 | 5724 | 70 | 22836 | 3065 | 250656 |
2022-05-13 | Clay | Kansas | 20027 | 1985 | 35 | 8002 | 4373 | 248062 |
2022-05-13 | Osage | Kansas | 20139 | 3946 | 49 | 15949 | 3072 | 247413 |
2022-05-13 | Johnson | Kansas | 20091 | 148890 | 1219 | 602401 | 2023 | 247160 |
2022-05-13 | Cheyenne | Kansas | 20023 | 652 | 14 | 2657 | 5269 | 245389 |
2022-05-13 | Haskell | Kansas | 20081 | 964 | 11 | 3968 | 2772 | 242943 |
2022-05-13 | Morton | Kansas | 20129 | 621 | 11 | 2587 | 4252 | 240046 |
2022-05-13 | Leavenworth | Kansas | 20103 | 19619 | 183 | 81758 | 2238 | 239964 |
2022-05-13 | Mitchell | Kansas | 20123 | 1428 | 22 | 5979 | 3679 | 238835 |
2022-05-13 | Pottawatomie | Kansas | 20149 | 5785 | 58 | 24383 | 2378 | 237255 |
2022-05-13 | Wabaunsee | Kansas | 20197 | 1642 | 22 | 6931 | 3174 | 236906 |
2022-05-13 | Barber | Kansas | 20007 | 1043 | 8 | 4427 | 1807 | 235599 |
2022-05-13 | Osborne | Kansas | 20141 | 803 | 17 | 3421 | 4969 | 234726 |
2022-05-13 | Wichita | Kansas | 20203 | 493 | 8 | 2119 | 3775 | 232656 |
2022-05-13 | Graham | Kansas | 20065 | 572 | 15 | 2482 | 6043 | 230459 |
2022-05-13 | Miami | Kansas | 20121 | 7865 | 93 | 34237 | 2716 | 229722 |
2022-05-13 | Hodgeman | Kansas | 20083 | 411 | 10 | 1794 | 5574 | 229096 |
2022-05-13 | Elk | Kansas | 20049 | 571 | 10 | 2530 | 3952 | 225691 |
2022-05-13 | Douglas | Kansas | 20045 | 27394 | 139 | 122259 | 1136 | 224065 |
2022-05-13 | Decatur | Kansas | 20039 | 620 | 20 | 2827 | 7074 | 219313 |
2022-05-13 | Stanton | Kansas | 20187 | 427 | 8 | 2006 | 3988 | 212861 |
2022-05-13 | Ottawa | Kansas | 20143 | 1210 | 17 | 5704 | 2980 | 212131 |
2022-05-13 | Pratt | Kansas | 20151 | 1931 | 30 | 9164 | 3273 | 210715 |
2022-05-13 | Lincoln | Kansas | 20105 | 623 | 10 | 2962 | 3376 | 210330 |
2022-05-13 | Gray | Kansas | 20069 | 1236 | 23 | 5988 | 3841 | 206412 |
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CREATE VIEW latest_ny_times_counties_with_populations AS select ny_times_us_counties.date, ny_times_us_counties.county, ny_times_us_counties.state, ny_times_us_counties.fips, ny_times_us_counties.cases, ny_times_us_counties.deaths, us_census_county_populations_2019.population, 1000000 * ny_times_us_counties.deaths / us_census_county_populations_2019.population as deaths_per_million, 1000000 * ny_times_us_counties.cases / us_census_county_populations_2019.population as cases_per_million from ny_times_us_counties join us_census_county_populations_2019 on ny_times_us_counties.fips = us_census_county_populations_2019.fips where "date" = ( select max(date) from ny_times_us_counties ) order by deaths_per_million desc;