johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
28 rows where deaths = 10528 sorted by day descending
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These facets timed out: province_or_state
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1767505 | 1767505 | 2022-07-03 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-07-04 04:20:54 | Callao, Peru | |||
3365491 | 3365491 | 2022-07-02 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-07-03 04:20:59 | Callao, Peru | |||
593820 | 593820 | 2022-07-01 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-07-02 04:21:16 | Callao, Peru | |||
3940221 | 3940221 | 2022-06-30 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-07-01 04:21:10 | Callao, Peru | |||
2490179 | 2490179 | 2022-06-29 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-06-30 04:21:01 | Callao, Peru | |||
2239561 | 2239561 | 2022-06-28 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-06-29 04:20:59 | Callao, Peru | |||
2147803 | 2147803 | 2022-06-27 | Peru | Callao | 148026 | 10528 | 0 | -11.954609 | -77.136042 | 2022-06-28 04:20:58 | Callao, Peru | |||
463120 | 463120 | 2022-05-02 | Brazil | Mato Grosso do Sul | 529305 | 10528 | 0 | -20.7722 | -54.7852 | 2022-05-03 04:21:00 | Mato Grosso do Sul, Brazil | |||
3915759 | 3915759 | 2022-05-01 | Brazil | Mato Grosso do Sul | 529297 | 10528 | 0 | -20.7722 | -54.7852 | 2022-05-02 04:21:10 | Mato Grosso do Sul, Brazil | |||
2840563 | 2840563 | 2022-04-30 | Brazil | Mato Grosso do Sul | 529241 | 10528 | 0 | -20.7722 | -54.7852 | 2022-05-01 04:20:57 | Mato Grosso do Sul, Brazil | |||
1156876 | 1156876 | 2022-04-29 | Brazil | Mato Grosso do Sul | 528922 | 10528 | 0 | -20.7722 | -54.7852 | 2022-04-30 04:21:05 | Mato Grosso do Sul, Brazil | |||
1696058 | 1696058 | 2022-04-28 | Brazil | Mato Grosso do Sul | 528797 | 10528 | 0 | -20.7722 | -54.7852 | 2022-04-29 04:20:59 | Mato Grosso do Sul, Brazil | |||
3851541 | 3851541 | 2022-04-27 | Brazil | Mato Grosso do Sul | 528593 | 10528 | 0 | -20.7722 | -54.7852 | 2022-04-28 04:20:47 | Mato Grosso do Sul, Brazil | |||
1325971 | 1325971 | 2022-04-26 | Brazil | Mato Grosso do Sul | 528490 | 10528 | 0 | -20.7722 | -54.7852 | 2022-04-27 04:20:52 | Mato Grosso do Sul, Brazil | |||
1030315 | 1030315 | 2021-12-06 | India | Madhya Pradesh | 793258 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-07 04:22:34 | Madhya Pradesh, India | |||
1740478 | 1740478 | 2021-12-05 | India | Madhya Pradesh | 793241 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-06 04:22:34 | Madhya Pradesh, India | |||
137910 | 137910 | 2021-12-04 | India | Madhya Pradesh | 793214 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-05 04:22:25 | Madhya Pradesh, India | |||
2195563 | 2195563 | 2021-12-03 | India | Madhya Pradesh | 793214 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-04 04:22:18 | Madhya Pradesh, India | |||
269 | 269 | 2021-12-02 | India | Madhya Pradesh | 793199 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-03 04:23:05 | Madhya Pradesh, India | |||
1144868 | 1144868 | 2021-12-01 | India | Madhya Pradesh | 793187 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-02 04:22:37 | Madhya Pradesh, India | |||
3401380 | 3401380 | 2021-11-30 | India | Madhya Pradesh | 793170 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-12-01 04:22:29 | Madhya Pradesh, India | |||
149923 | 149923 | 2021-11-29 | India | Madhya Pradesh | 793150 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-11-30 04:22:53 | Madhya Pradesh, India | |||
1231569 | 1231569 | 2021-11-28 | India | Madhya Pradesh | 793138 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-11-29 04:22:30 | Madhya Pradesh, India | |||
1358276 | 1358276 | 2021-11-27 | India | Madhya Pradesh | 793120 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-11-28 04:22:43 | Madhya Pradesh, India | |||
758267 | 758267 | 2021-11-26 | India | Madhya Pradesh | 793097 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-11-27 04:22:45 | Madhya Pradesh, India | |||
1802684 | 1802684 | 2021-11-25 | India | Madhya Pradesh | 793088 | 10528 | 0 | 23.541513000000002 | 78.289633 | 2021-11-26 04:22:33 | Madhya Pradesh, India | |||
1306260 | 1306260 | 2021-07-27 | Mexico | Veracruz | 76829 | 10528 | 0 | 66301 | 19.1738 | -96.1342 | 2021-07-28 04:21:39 | Veracruz, Mexico | ||
1535926 | 1535926 | 2021-03-28 | Italy | Veneto | 378663 | 10528 | 328486 | 39649 | 45.43490485 | 12.33845213 | 2021-03-29 04:28:35 | Veneto, Italy |
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CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);