ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
726 rows where fips = 35023 and state = "New Mexico" sorted by date descending
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Suggested facets: deaths, date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2501406 | 2501406 | 2022-05-13 | Hidalgo | New Mexico | 35023 | 1104 | 15 |
2498148 | 2498148 | 2022-05-12 | Hidalgo | New Mexico | 35023 | 1104 | 15 |
2494890 | 2494890 | 2022-05-11 | Hidalgo | New Mexico | 35023 | 1103 | 15 |
2491632 | 2491632 | 2022-05-10 | Hidalgo | New Mexico | 35023 | 1103 | 15 |
2488374 | 2488374 | 2022-05-09 | Hidalgo | New Mexico | 35023 | 1103 | 15 |
2485117 | 2485117 | 2022-05-08 | Hidalgo | New Mexico | 35023 | 1103 | 15 |
2481859 | 2481859 | 2022-05-07 | Hidalgo | New Mexico | 35023 | 1103 | 15 |
2478601 | 2478601 | 2022-05-06 | Hidalgo | New Mexico | 35023 | 1103 | 15 |
2475343 | 2475343 | 2022-05-05 | Hidalgo | New Mexico | 35023 | 1102 | 15 |
2472086 | 2472086 | 2022-05-04 | Hidalgo | New Mexico | 35023 | 1102 | 15 |
2468830 | 2468830 | 2022-05-03 | Hidalgo | New Mexico | 35023 | 1102 | 15 |
2465574 | 2465574 | 2022-05-02 | Hidalgo | New Mexico | 35023 | 1102 | 14 |
2462319 | 2462319 | 2022-05-01 | Hidalgo | New Mexico | 35023 | 1102 | 14 |
2459063 | 2459063 | 2022-04-30 | Hidalgo | New Mexico | 35023 | 1102 | 14 |
2455807 | 2455807 | 2022-04-29 | Hidalgo | New Mexico | 35023 | 1102 | 14 |
2452551 | 2452551 | 2022-04-28 | Hidalgo | New Mexico | 35023 | 1102 | 14 |
2449295 | 2449295 | 2022-04-27 | Hidalgo | New Mexico | 35023 | 1101 | 14 |
2446038 | 2446038 | 2022-04-26 | Hidalgo | New Mexico | 35023 | 1101 | 14 |
2442783 | 2442783 | 2022-04-25 | Hidalgo | New Mexico | 35023 | 1101 | 14 |
2439527 | 2439527 | 2022-04-24 | Hidalgo | New Mexico | 35023 | 1100 | 14 |
2436271 | 2436271 | 2022-04-23 | Hidalgo | New Mexico | 35023 | 1100 | 14 |
2433015 | 2433015 | 2022-04-22 | Hidalgo | New Mexico | 35023 | 1100 | 14 |
2429759 | 2429759 | 2022-04-21 | Hidalgo | New Mexico | 35023 | 1100 | 14 |
2426503 | 2426503 | 2022-04-20 | Hidalgo | New Mexico | 35023 | 1100 | 14 |
2423247 | 2423247 | 2022-04-19 | Hidalgo | New Mexico | 35023 | 1100 | 14 |
2419990 | 2419990 | 2022-04-18 | Hidalgo | New Mexico | 35023 | 1099 | 14 |
2416735 | 2416735 | 2022-04-17 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2413479 | 2413479 | 2022-04-16 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2410223 | 2410223 | 2022-04-15 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2406967 | 2406967 | 2022-04-14 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2403711 | 2403711 | 2022-04-13 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2400456 | 2400456 | 2022-04-12 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2397201 | 2397201 | 2022-04-11 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2393946 | 2393946 | 2022-04-10 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2390690 | 2390690 | 2022-04-09 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2387434 | 2387434 | 2022-04-08 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2384179 | 2384179 | 2022-04-07 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2380924 | 2380924 | 2022-04-06 | Hidalgo | New Mexico | 35023 | 1097 | 14 |
2377669 | 2377669 | 2022-04-05 | Hidalgo | New Mexico | 35023 | 1094 | 14 |
2374416 | 2374416 | 2022-04-04 | Hidalgo | New Mexico | 35023 | 1094 | 14 |
2371164 | 2371164 | 2022-04-03 | Hidalgo | New Mexico | 35023 | 1087 | 14 |
2367911 | 2367911 | 2022-04-02 | Hidalgo | New Mexico | 35023 | 1087 | 14 |
2364658 | 2364658 | 2022-04-01 | Hidalgo | New Mexico | 35023 | 1087 | 14 |
2361404 | 2361404 | 2022-03-31 | Hidalgo | New Mexico | 35023 | 1087 | 14 |
2358150 | 2358150 | 2022-03-30 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2354897 | 2354897 | 2022-03-29 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2351644 | 2351644 | 2022-03-28 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2348392 | 2348392 | 2022-03-27 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2345139 | 2345139 | 2022-03-26 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2341886 | 2341886 | 2022-03-25 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2338633 | 2338633 | 2022-03-24 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2335379 | 2335379 | 2022-03-23 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2332125 | 2332125 | 2022-03-22 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2328872 | 2328872 | 2022-03-21 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2325620 | 2325620 | 2022-03-20 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2322366 | 2322366 | 2022-03-19 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2319112 | 2319112 | 2022-03-18 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2315859 | 2315859 | 2022-03-17 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2312606 | 2312606 | 2022-03-16 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2309353 | 2309353 | 2022-03-15 | Hidalgo | New Mexico | 35023 | 1086 | 14 |
2306100 | 2306100 | 2022-03-14 | Hidalgo | New Mexico | 35023 | 1085 | 13 |
2302849 | 2302849 | 2022-03-13 | Hidalgo | New Mexico | 35023 | 1085 | 13 |
2299597 | 2299597 | 2022-03-12 | Hidalgo | New Mexico | 35023 | 1085 | 13 |
2296345 | 2296345 | 2022-03-11 | Hidalgo | New Mexico | 35023 | 1085 | 13 |
2293093 | 2293093 | 2022-03-10 | Hidalgo | New Mexico | 35023 | 1085 | 13 |
2289841 | 2289841 | 2022-03-09 | Hidalgo | New Mexico | 35023 | 1083 | 13 |
2286589 | 2286589 | 2022-03-08 | Hidalgo | New Mexico | 35023 | 1083 | 13 |
2283337 | 2283337 | 2022-03-07 | Hidalgo | New Mexico | 35023 | 1082 | 13 |
2280084 | 2280084 | 2022-03-06 | Hidalgo | New Mexico | 35023 | 1076 | 13 |
2276831 | 2276831 | 2022-03-05 | Hidalgo | New Mexico | 35023 | 1076 | 13 |
2273578 | 2273578 | 2022-03-04 | Hidalgo | New Mexico | 35023 | 1076 | 13 |
2270326 | 2270326 | 2022-03-03 | Hidalgo | New Mexico | 35023 | 1075 | 13 |
2267073 | 2267073 | 2022-03-02 | Hidalgo | New Mexico | 35023 | 1074 | 13 |
2263822 | 2263822 | 2022-03-01 | Hidalgo | New Mexico | 35023 | 1072 | 13 |
2260571 | 2260571 | 2022-02-28 | Hidalgo | New Mexico | 35023 | 1071 | 13 |
2257320 | 2257320 | 2022-02-27 | Hidalgo | New Mexico | 35023 | 1068 | 13 |
2254069 | 2254069 | 2022-02-26 | Hidalgo | New Mexico | 35023 | 1068 | 13 |
2250818 | 2250818 | 2022-02-25 | Hidalgo | New Mexico | 35023 | 1068 | 13 |
2247567 | 2247567 | 2022-02-24 | Hidalgo | New Mexico | 35023 | 1065 | 13 |
2244316 | 2244316 | 2022-02-23 | Hidalgo | New Mexico | 35023 | 1065 | 13 |
2241065 | 2241065 | 2022-02-22 | Hidalgo | New Mexico | 35023 | 1065 | 13 |
2237814 | 2237814 | 2022-02-21 | Hidalgo | New Mexico | 35023 | 1065 | 13 |
2234563 | 2234563 | 2022-02-20 | Hidalgo | New Mexico | 35023 | 1061 | 13 |
2231312 | 2231312 | 2022-02-19 | Hidalgo | New Mexico | 35023 | 1061 | 13 |
2228061 | 2228061 | 2022-02-18 | Hidalgo | New Mexico | 35023 | 1061 | 13 |
2224810 | 2224810 | 2022-02-17 | Hidalgo | New Mexico | 35023 | 1051 | 13 |
2221559 | 2221559 | 2022-02-16 | Hidalgo | New Mexico | 35023 | 1049 | 13 |
2218308 | 2218308 | 2022-02-15 | Hidalgo | New Mexico | 35023 | 1044 | 13 |
2215057 | 2215057 | 2022-02-14 | Hidalgo | New Mexico | 35023 | 1043 | 13 |
2211805 | 2211805 | 2022-02-13 | Hidalgo | New Mexico | 35023 | 1039 | 13 |
2208552 | 2208552 | 2022-02-12 | Hidalgo | New Mexico | 35023 | 1039 | 13 |
2205299 | 2205299 | 2022-02-11 | Hidalgo | New Mexico | 35023 | 1039 | 13 |
2202046 | 2202046 | 2022-02-10 | Hidalgo | New Mexico | 35023 | 1037 | 13 |
2198792 | 2198792 | 2022-02-09 | Hidalgo | New Mexico | 35023 | 1029 | 13 |
2195538 | 2195538 | 2022-02-08 | Hidalgo | New Mexico | 35023 | 1022 | 12 |
2192284 | 2192284 | 2022-02-07 | Hidalgo | New Mexico | 35023 | 1021 | 12 |
2189031 | 2189031 | 2022-02-06 | Hidalgo | New Mexico | 35023 | 1017 | 12 |
2185778 | 2185778 | 2022-02-05 | Hidalgo | New Mexico | 35023 | 1017 | 12 |
2182526 | 2182526 | 2022-02-04 | Hidalgo | New Mexico | 35023 | 1017 | 12 |
2179274 | 2179274 | 2022-02-03 | Hidalgo | New Mexico | 35023 | 1012 | 12 |
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CREATE TABLE [ny_times_us_counties] ( [date] TEXT, [county] TEXT, [state] TEXT, [fips] INTEGER, [cases] INTEGER, [deaths] INTEGER ); CREATE INDEX [idx_ny_times_us_counties_state] ON [ny_times_us_counties] ([state]); CREATE INDEX [idx_ny_times_us_counties_county] ON [ny_times_us_counties] ([county]); CREATE INDEX [idx_ny_times_us_counties_fips] ON [ny_times_us_counties] ([fips]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);