ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
81 rows where "date" is on date 2020-04-06 and state = "Ohio" sorted by date descending
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Suggested facets: deaths
fips >30
county >30
- Adams 1
- Allen 1
- Ashland 1
- Ashtabula 1
- Athens 1
- Auglaize 1
- Belmont 1
- Brown 1
- Butler 1
- Carroll 1
- Champaign 1
- Clark 1
- Clermont 1
- Clinton 1
- Columbiana 1
- Coshocton 1
- Crawford 1
- Cuyahoga 1
- Darke 1
- Defiance 1
- Delaware 1
- Erie 1
- Fairfield 1
- Fayette 1
- Franklin 1
- Fulton 1
- Gallia 1
- Geauga 1
- Greene 1
- Guernsey 1
- …
state 1
- Ohio · 81 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
37224 | 37224 | 2020-04-06 | Adams | Ohio | 39001 | 2 | 0 |
37225 | 37225 | 2020-04-06 | Allen | Ohio | 39003 | 19 | 0 |
37226 | 37226 | 2020-04-06 | Ashland | Ohio | 39005 | 3 | 0 |
37227 | 37227 | 2020-04-06 | Ashtabula | Ohio | 39007 | 15 | 0 |
37228 | 37228 | 2020-04-06 | Athens | Ohio | 39009 | 3 | 1 |
37229 | 37229 | 2020-04-06 | Auglaize | Ohio | 39011 | 8 | 0 |
37230 | 37230 | 2020-04-06 | Belmont | Ohio | 39013 | 22 | 1 |
37231 | 37231 | 2020-04-06 | Brown | Ohio | 39015 | 3 | 1 |
37232 | 37232 | 2020-04-06 | Butler | Ohio | 39017 | 75 | 2 |
37233 | 37233 | 2020-04-06 | Carroll | Ohio | 39019 | 9 | 0 |
37234 | 37234 | 2020-04-06 | Champaign | Ohio | 39021 | 5 | 0 |
37235 | 37235 | 2020-04-06 | Clark | Ohio | 39023 | 10 | 0 |
37236 | 37236 | 2020-04-06 | Clermont | Ohio | 39025 | 27 | 1 |
37237 | 37237 | 2020-04-06 | Clinton | Ohio | 39027 | 8 | 0 |
37238 | 37238 | 2020-04-06 | Columbiana | Ohio | 39029 | 53 | 5 |
37239 | 37239 | 2020-04-06 | Coshocton | Ohio | 39031 | 10 | 0 |
37240 | 37240 | 2020-04-06 | Crawford | Ohio | 39033 | 9 | 0 |
37241 | 37241 | 2020-04-06 | Cuyahoga | Ohio | 39035 | 871 | 15 |
37242 | 37242 | 2020-04-06 | Darke | Ohio | 39037 | 32 | 6 |
37243 | 37243 | 2020-04-06 | Defiance | Ohio | 39039 | 8 | 0 |
37244 | 37244 | 2020-04-06 | Delaware | Ohio | 39041 | 77 | 1 |
37245 | 37245 | 2020-04-06 | Erie | Ohio | 39043 | 10 | 1 |
37246 | 37246 | 2020-04-06 | Fairfield | Ohio | 39045 | 54 | 0 |
37247 | 37247 | 2020-04-06 | Fayette | Ohio | 39047 | 2 | 0 |
37248 | 37248 | 2020-04-06 | Franklin | Ohio | 39049 | 644 | 9 |
37249 | 37249 | 2020-04-06 | Fulton | Ohio | 39051 | 5 | 0 |
37250 | 37250 | 2020-04-06 | Gallia | Ohio | 39053 | 4 | 1 |
37251 | 37251 | 2020-04-06 | Geauga | Ohio | 39055 | 40 | 0 |
37252 | 37252 | 2020-04-06 | Greene | Ohio | 39057 | 15 | 1 |
37253 | 37253 | 2020-04-06 | Guernsey | Ohio | 39059 | 1 | 0 |
37254 | 37254 | 2020-04-06 | Hamilton | Ohio | 39061 | 394 | 9 |
37255 | 37255 | 2020-04-06 | Hancock | Ohio | 39063 | 14 | 0 |
37256 | 37256 | 2020-04-06 | Hardin | Ohio | 39065 | 2 | 0 |
37257 | 37257 | 2020-04-06 | Highland | Ohio | 39071 | 6 | 0 |
37258 | 37258 | 2020-04-06 | Holmes | Ohio | 39075 | 2 | 0 |
37259 | 37259 | 2020-04-06 | Huron | Ohio | 39077 | 9 | 1 |
37260 | 37260 | 2020-04-06 | Jefferson | Ohio | 39081 | 15 | 0 |
37261 | 37261 | 2020-04-06 | Knox | Ohio | 39083 | 7 | 1 |
37262 | 37262 | 2020-04-06 | Lake | Ohio | 39085 | 87 | 3 |
37263 | 37263 | 2020-04-06 | Lawrence | Ohio | 39087 | 10 | 0 |
37264 | 37264 | 2020-04-06 | Licking | Ohio | 39089 | 57 | 2 |
37265 | 37265 | 2020-04-06 | Logan | Ohio | 39091 | 5 | 0 |
37266 | 37266 | 2020-04-06 | Lorain | Ohio | 39093 | 117 | 3 |
37267 | 37267 | 2020-04-06 | Lucas | Ohio | 39095 | 321 | 12 |
37268 | 37268 | 2020-04-06 | Madison | Ohio | 39097 | 17 | 2 |
37269 | 37269 | 2020-04-06 | Mahoning | Ohio | 39099 | 272 | 17 |
37270 | 37270 | 2020-04-06 | Marion | Ohio | 39101 | 25 | 0 |
37271 | 37271 | 2020-04-06 | Medina | Ohio | 39103 | 83 | 3 |
37272 | 37272 | 2020-04-06 | Mercer | Ohio | 39107 | 8 | 1 |
37273 | 37273 | 2020-04-06 | Miami | Ohio | 39109 | 90 | 10 |
37274 | 37274 | 2020-04-06 | Monroe | Ohio | 39111 | 2 | 0 |
37275 | 37275 | 2020-04-06 | Montgomery | Ohio | 39113 | 109 | 2 |
37276 | 37276 | 2020-04-06 | Morgan | Ohio | 39115 | 1 | 0 |
37277 | 37277 | 2020-04-06 | Morrow | Ohio | 39117 | 5 | 0 |
37278 | 37278 | 2020-04-06 | Muskingum | Ohio | 39119 | 5 | 0 |
37279 | 37279 | 2020-04-06 | Ottawa | Ohio | 39123 | 5 | 0 |
37280 | 37280 | 2020-04-06 | Paulding | Ohio | 39125 | 1 | 0 |
37281 | 37281 | 2020-04-06 | Perry | Ohio | 39127 | 4 | 0 |
37282 | 37282 | 2020-04-06 | Pickaway | Ohio | 39129 | 27 | 0 |
37283 | 37283 | 2020-04-06 | Pike | Ohio | 39131 | 1 | 0 |
37284 | 37284 | 2020-04-06 | Portage | Ohio | 39133 | 94 | 5 |
37285 | 37285 | 2020-04-06 | Preble | Ohio | 39135 | 5 | 0 |
37286 | 37286 | 2020-04-06 | Putnam | Ohio | 39137 | 1 | 0 |
37287 | 37287 | 2020-04-06 | Richland | Ohio | 39139 | 19 | 0 |
37288 | 37288 | 2020-04-06 | Ross | Ohio | 39141 | 6 | 0 |
37289 | 37289 | 2020-04-06 | Sandusky | Ohio | 39143 | 5 | 0 |
37290 | 37290 | 2020-04-06 | Scioto | Ohio | 39145 | 1 | 0 |
37291 | 37291 | 2020-04-06 | Seneca | Ohio | 39147 | 6 | 1 |
37292 | 37292 | 2020-04-06 | Shelby | Ohio | 39149 | 17 | 0 |
37293 | 37293 | 2020-04-06 | Stark | Ohio | 39151 | 109 | 7 |
37294 | 37294 | 2020-04-06 | Summit | Ohio | 39153 | 189 | 10 |
37295 | 37295 | 2020-04-06 | Trumbull | Ohio | 39155 | 102 | 8 |
37296 | 37296 | 2020-04-06 | Tuscarawas | Ohio | 39157 | 23 | 0 |
37297 | 37297 | 2020-04-06 | Union | Ohio | 39159 | 8 | 0 |
37298 | 37298 | 2020-04-06 | Van Wert | Ohio | 39161 | 2 | 0 |
37299 | 37299 | 2020-04-06 | Warren | Ohio | 39165 | 37 | 0 |
37300 | 37300 | 2020-04-06 | Washington | Ohio | 39167 | 15 | 0 |
37301 | 37301 | 2020-04-06 | Wayne | Ohio | 39169 | 26 | 0 |
37302 | 37302 | 2020-04-06 | Williams | Ohio | 39171 | 1 | 0 |
37303 | 37303 | 2020-04-06 | Wood | Ohio | 39173 | 34 | 0 |
37304 | 37304 | 2020-04-06 | Wyandot | Ohio | 39175 | 5 | 0 |
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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);