latest_ny_times_counties_with_populations (view)
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
44 rows where state = "Idaho" sorted by county
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Suggested facets: deaths, date (date)
state 1
- Idaho · 44 ✖
date | county ▼ | state | fips | cases | deaths | population | deaths_per_million | cases_per_million |
---|---|---|---|---|---|---|---|---|
2022-05-13 | Ada | Idaho | 16001 | 135259 | 1022 | 481587 | 2122 | 280860 |
2022-05-13 | Adams | Idaho | 16003 | 704 | 15 | 4294 | 3493 | 163949 |
2022-05-13 | Bannock | Idaho | 16005 | 20914 | 247 | 87808 | 2812 | 238178 |
2022-05-13 | Bear Lake | Idaho | 16007 | 931 | 16 | 6125 | 2612 | 152000 |
2022-05-13 | Benewah | Idaho | 16009 | 2397 | 41 | 9298 | 4409 | 257797 |
2022-05-13 | Bingham | Idaho | 16011 | 9836 | 154 | 46811 | 3289 | 210121 |
2022-05-13 | Blaine | Idaho | 16013 | 6059 | 30 | 23021 | 1303 | 263194 |
2022-05-13 | Boise | Idaho | 16015 | 1094 | 14 | 7831 | 1787 | 139701 |
2022-05-13 | Bonner | Idaho | 16017 | 8941 | 188 | 45739 | 4110 | 195478 |
2022-05-13 | Bonneville | Idaho | 16019 | 30942 | 286 | 119062 | 2402 | 259881 |
2022-05-13 | Boundary | Idaho | 16021 | 2107 | 62 | 12245 | 5063 | 172070 |
2022-05-13 | Butte | Idaho | 16023 | 475 | 9 | 2597 | 3465 | 182903 |
2022-05-13 | Camas | Idaho | 16025 | 158 | 2 | 1106 | 1808 | 142857 |
2022-05-13 | Canyon | Idaho | 16027 | 61709 | 685 | 229849 | 2980 | 268476 |
2022-05-13 | Caribou | Idaho | 16029 | 1495 | 28 | 7155 | 3913 | 208944 |
2022-05-13 | Cassia | Idaho | 16031 | 5032 | 52 | 24030 | 2163 | 209404 |
2022-05-13 | Clark | Idaho | 16033 | 109 | 1 | 845 | 1183 | 128994 |
2022-05-13 | Clearwater | Idaho | 16035 | 2324 | 33 | 8756 | 3768 | 265417 |
2022-05-13 | Custer | Idaho | 16037 | 532 | 9 | 4315 | 2085 | 123290 |
2022-05-13 | Elmore | Idaho | 16039 | 7264 | 70 | 27511 | 2544 | 264039 |
2022-05-13 | Franklin | Idaho | 16041 | 2331 | 29 | 13876 | 2089 | 167987 |
2022-05-13 | Fremont | Idaho | 16043 | 2158 | 28 | 13099 | 2137 | 164745 |
2022-05-13 | Gem | Idaho | 16045 | 3681 | 79 | 18112 | 4361 | 203235 |
2022-05-13 | Gooding | Idaho | 16047 | 3297 | 55 | 15179 | 3623 | 217207 |
2022-05-13 | Idaho | Idaho | 16049 | 2998 | 52 | 16667 | 3119 | 179876 |
2022-05-13 | Jefferson | Idaho | 16051 | 6043 | 65 | 29871 | 2176 | 202303 |
2022-05-13 | Jerome | Idaho | 16053 | 6101 | 65 | 24412 | 2662 | 249918 |
2022-05-13 | Kootenai | Idaho | 16055 | 42145 | 594 | 165697 | 3584 | 254349 |
2022-05-13 | Latah | Idaho | 16057 | 6801 | 49 | 40108 | 1221 | 169567 |
2022-05-13 | Lemhi | Idaho | 16059 | 1261 | 25 | 8027 | 3114 | 157094 |
2022-05-13 | Lewis | Idaho | 16061 | 1134 | 29 | 3838 | 7556 | 295466 |
2022-05-13 | Lincoln | Idaho | 16063 | 1107 | 15 | 5366 | 2795 | 206298 |
2022-05-13 | Madison | Idaho | 16065 | 12674 | 50 | 39907 | 1252 | 317588 |
2022-05-13 | Minidoka | Idaho | 16067 | 4235 | 64 | 21039 | 3041 | 201292 |
2022-05-13 | Nez Perce | Idaho | 16069 | 8969 | 148 | 40408 | 3662 | 221960 |
2022-05-13 | Oneida | Idaho | 16071 | 807 | 11 | 4531 | 2427 | 178106 |
2022-05-13 | Owyhee | Idaho | 16073 | 2274 | 53 | 11823 | 4482 | 192336 |
2022-05-13 | Payette | Idaho | 16075 | 5586 | 87 | 23951 | 3632 | 233226 |
2022-05-13 | Power | Idaho | 16077 | 1496 | 20 | 7681 | 2603 | 194766 |
2022-05-13 | Shoshone | Idaho | 16079 | 2746 | 76 | 12882 | 5899 | 213165 |
2022-05-13 | Teton | Idaho | 16081 | 2723 | 9 | 12142 | 741 | 224262 |
2022-05-13 | Twin Falls | Idaho | 16083 | 24129 | 296 | 86878 | 3407 | 277734 |
2022-05-13 | Valley | Idaho | 16085 | 2642 | 16 | 11392 | 1404 | 231917 |
2022-05-13 | Washington | Idaho | 16087 | 2394 | 57 | 10194 | 5591 | 234844 |
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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;