latest_ny_times_counties_with_populations (view)
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
254 rows where state = "Texas" sorted by cases_per_million descending
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state 1
- Texas · 254 ✖
date | county | state | fips | cases | deaths | population | deaths_per_million | cases_per_million ▲ |
---|---|---|---|---|---|---|---|---|
2022-05-13 | Loving | Texas | 48301 | 196 | 1 | 169 | 5917 | 1159763 |
2022-05-13 | Dimmit | Texas | 48127 | 5760 | 51 | 10124 | 5037 | 568945 |
2022-05-13 | Jim Hogg | Texas | 48247 | 2648 | 22 | 5200 | 4230 | 509230 |
2022-05-13 | Concho | Texas | 48095 | 1084 | 11 | 2726 | 4035 | 397652 |
2022-05-13 | Uvalde | Texas | 48463 | 10600 | 145 | 26741 | 5422 | 396395 |
2022-05-13 | Karnes | Texas | 48255 | 5968 | 70 | 15601 | 4486 | 382539 |
2022-05-13 | Hall | Texas | 48191 | 1102 | 24 | 2964 | 8097 | 371794 |
2022-05-13 | Childress | Texas | 48075 | 2638 | 33 | 7306 | 4516 | 361073 |
2022-05-13 | Hansford | Texas | 48195 | 1929 | 29 | 5399 | 5371 | 357288 |
2022-05-13 | Maverick | Texas | 48323 | 20872 | 469 | 58722 | 7986 | 355437 |
2022-05-13 | Donley | Texas | 48129 | 1153 | 26 | 3278 | 7931 | 351738 |
2022-05-13 | Webb | Texas | 48479 | 96110 | 1036 | 276652 | 3744 | 347403 |
2022-05-13 | Tom Green | Texas | 48451 | 41068 | 553 | 119200 | 4639 | 344530 |
2022-05-13 | Floyd | Texas | 48153 | 1961 | 48 | 5712 | 8403 | 343312 |
2022-05-13 | Zavala | Texas | 48507 | 4059 | 68 | 11840 | 5743 | 342820 |
2022-05-13 | Delta | Texas | 48119 | 1820 | 25 | 5331 | 4689 | 341399 |
2022-05-13 | Lamb | Texas | 48279 | 4356 | 122 | 12893 | 9462 | 337857 |
2022-05-13 | Hockley | Texas | 48219 | 7750 | 161 | 23021 | 6993 | 336649 |
2022-05-13 | Willacy | Texas | 48489 | 7089 | 130 | 21358 | 6086 | 331913 |
2022-05-13 | Crosby | Texas | 48107 | 1894 | 45 | 5737 | 7843 | 330137 |
2022-05-13 | Caldwell | Texas | 48055 | 14339 | 176 | 43664 | 4030 | 328394 |
2022-05-13 | Hemphill | Texas | 48211 | 1239 | 7 | 3819 | 1832 | 324430 |
2022-05-13 | Hutchinson | Texas | 48233 | 6755 | 135 | 20938 | 6447 | 322619 |
2022-05-13 | La Salle | Texas | 48283 | 2421 | 48 | 7520 | 6382 | 321941 |
2022-05-13 | DeWitt | Texas | 48123 | 6486 | 99 | 20160 | 4910 | 321726 |
2022-05-13 | Brown | Texas | 48049 | 12056 | 253 | 37864 | 6681 | 318402 |
2022-05-13 | Crockett | Texas | 48105 | 1091 | 19 | 3464 | 5484 | 314953 |
2022-05-13 | Cochran | Texas | 48079 | 891 | 23 | 2853 | 8061 | 312302 |
2022-05-13 | Starr | Texas | 48427 | 20091 | 366 | 64633 | 5662 | 310847 |
2022-05-13 | Swisher | Texas | 48437 | 2288 | 34 | 7397 | 4596 | 309314 |
2022-05-13 | Duval | Texas | 48131 | 3412 | 70 | 11157 | 6274 | 305816 |
2022-05-13 | Castro | Texas | 48069 | 2297 | 47 | 7530 | 6241 | 305046 |
2022-05-13 | Potter | Texas | 48375 | 35779 | 739 | 117415 | 6293 | 304722 |
2022-05-13 | Mills | Texas | 48333 | 1475 | 37 | 4873 | 7592 | 302688 |
2022-05-13 | Lubbock | Texas | 48303 | 93789 | 1329 | 310569 | 4279 | 301990 |
2022-05-13 | Briscoe | Texas | 48045 | 465 | 8 | 1546 | 5174 | 300776 |
2022-05-13 | Scurry | Texas | 48415 | 4983 | 104 | 16703 | 6226 | 298329 |
2022-05-13 | Dallam | Texas | 48111 | 2155 | 40 | 7287 | 5489 | 295732 |
2022-05-13 | Grimes | Texas | 48185 | 8511 | 120 | 28880 | 4155 | 294702 |
2022-05-13 | Armstrong | Texas | 48011 | 555 | 9 | 1887 | 4769 | 294117 |
2022-05-13 | Val Verde | Texas | 48465 | 14368 | 303 | 49025 | 6180 | 293074 |
2022-05-13 | Frio | Texas | 48163 | 5935 | 93 | 20306 | 4579 | 292278 |
2022-05-13 | Reeves | Texas | 48389 | 4636 | 74 | 15976 | 4631 | 290185 |
2022-05-13 | Irion | Texas | 48235 | 445 | 3 | 1536 | 1953 | 289713 |
2022-05-13 | Gray | Texas | 48179 | 6195 | 125 | 21886 | 5711 | 283057 |
2022-05-13 | Galveston | Texas | 48167 | 96616 | 853 | 342139 | 2493 | 282388 |
2022-05-13 | Bexar | Texas | 48029 | 565111 | 6131 | 2003554 | 3060 | 282054 |
2022-05-13 | Jim Wells | Texas | 48249 | 11411 | 208 | 40482 | 5138 | 281878 |
2022-05-13 | Randall | Texas | 48381 | 38234 | 516 | 137713 | 3746 | 277635 |
2022-05-13 | Kent | Texas | 48263 | 210 | 4 | 762 | 5249 | 275590 |
2022-05-13 | Burleson | Texas | 48051 | 5048 | 66 | 18443 | 3578 | 273708 |
2022-05-13 | Wilbarger | Texas | 48487 | 3486 | 87 | 12769 | 6813 | 273004 |
2022-05-13 | Comanche | Texas | 48093 | 3698 | 78 | 13635 | 5720 | 271213 |
2022-05-13 | Tarrant | Texas | 48439 | 569281 | 5925 | 2102515 | 2818 | 270761 |
2022-05-13 | Calhoun | Texas | 48057 | 5731 | 48 | 21290 | 2254 | 269187 |
2022-05-13 | Stonewall | Texas | 48433 | 362 | 7 | 1350 | 5185 | 268148 |
2022-05-13 | Crane | Texas | 48103 | 1285 | 24 | 4797 | 5003 | 267875 |
2022-05-13 | Moore | Texas | 48341 | 5604 | 111 | 20940 | 5300 | 267621 |
2022-05-13 | Oldham | Texas | 48359 | 565 | 6 | 2112 | 2840 | 267518 |
2022-05-13 | Chambers | Texas | 48071 | 11706 | 112 | 43837 | 2554 | 267034 |
2022-05-13 | Atascosa | Texas | 48013 | 13647 | 231 | 51153 | 4515 | 266787 |
2022-05-13 | Ellis | Texas | 48139 | 49172 | 582 | 184826 | 3148 | 266044 |
2022-05-13 | Robertson | Texas | 48395 | 4541 | 77 | 17074 | 4509 | 265959 |
2022-05-13 | Brazos | Texas | 48041 | 60873 | 413 | 229211 | 1801 | 265576 |
2022-05-13 | Titus | Texas | 48449 | 8673 | 128 | 32750 | 3908 | 264824 |
2022-05-13 | Zapata | Texas | 48505 | 3752 | 55 | 14179 | 3878 | 264616 |
2022-05-13 | Hays | Texas | 48209 | 60893 | 498 | 230191 | 2163 | 264532 |
2022-05-13 | Madison | Texas | 48313 | 3778 | 54 | 14284 | 3780 | 264491 |
2022-05-13 | Walker | Texas | 48471 | 19223 | 212 | 72971 | 2905 | 263433 |
2022-05-13 | Kaufman | Texas | 48257 | 35680 | 536 | 136154 | 3936 | 262056 |
2022-05-13 | Lynn | Texas | 48305 | 1556 | 38 | 5951 | 6385 | 261468 |
2022-05-13 | Deaf Smith | Texas | 48117 | 4809 | 111 | 18546 | 5985 | 259301 |
2022-05-13 | Lampasas | Texas | 48281 | 5556 | 90 | 21428 | 4200 | 259286 |
2022-05-13 | Archer | Texas | 48009 | 2213 | 28 | 8553 | 3273 | 258739 |
2022-05-13 | Carson | Texas | 48065 | 1532 | 36 | 5926 | 6074 | 258521 |
2022-05-13 | Bee | Texas | 48025 | 8418 | 153 | 32565 | 4698 | 258498 |
2022-05-13 | Wichita | Texas | 48485 | 34143 | 679 | 132230 | 5134 | 258209 |
2022-05-13 | Nueces | Texas | 48355 | 93429 | 1494 | 362294 | 4123 | 257881 |
2022-05-13 | Washington | Texas | 48477 | 9232 | 148 | 35882 | 4124 | 257287 |
2022-05-13 | Refugio | Texas | 48391 | 1781 | 36 | 6948 | 5181 | 256332 |
2022-05-13 | Rockwall | Texas | 48397 | 26778 | 266 | 104915 | 2535 | 255235 |
2022-05-13 | Taylor | Texas | 48441 | 35192 | 725 | 138034 | 5252 | 254951 |
2022-05-13 | Brazoria | Texas | 48039 | 94245 | 983 | 374264 | 2626 | 251814 |
2022-05-13 | Lamar | Texas | 48277 | 12500 | 256 | 49859 | 5134 | 250706 |
2022-05-13 | Johnson | Texas | 48251 | 43903 | 735 | 175817 | 4180 | 249708 |
2022-05-13 | Coke | Texas | 48081 | 843 | 20 | 3387 | 5904 | 248892 |
2022-05-13 | Navarro | Texas | 48349 | 12469 | 222 | 50113 | 4429 | 248817 |
2022-05-13 | El Paso | Texas | 48141 | 208635 | 3734 | 839238 | 4449 | 248600 |
2022-05-13 | Cameron | Texas | 48061 | 105092 | 2032 | 423163 | 4801 | 248348 |
2022-05-13 | Lee | Texas | 48287 | 4278 | 60 | 17239 | 3480 | 248158 |
2022-05-13 | Bastrop | Texas | 48021 | 21971 | 239 | 88723 | 2693 | 247635 |
2022-05-13 | Ochiltree | Texas | 48357 | 2424 | 48 | 9836 | 4880 | 246441 |
2022-05-13 | Parmer | Texas | 48369 | 2363 | 52 | 9605 | 5413 | 246017 |
2022-05-13 | Hill | Texas | 48217 | 8991 | 192 | 36649 | 5238 | 245327 |
2022-05-13 | Hartley | Texas | 48205 | 1364 | 3 | 5576 | 538 | 244619 |
2022-05-13 | Parker | Texas | 48367 | 34819 | 450 | 142878 | 3149 | 243697 |
2022-05-13 | Wise | Texas | 48497 | 17052 | 270 | 69984 | 3858 | 243655 |
2022-05-13 | Cass | Texas | 48067 | 7260 | 197 | 30026 | 6560 | 241790 |
2022-05-13 | Edwards | Texas | 48137 | 467 | 11 | 1932 | 5693 | 241718 |
2022-05-13 | Palo Pinto | Texas | 48363 | 7052 | 154 | 29189 | 5275 | 241597 |
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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;