owid-covid: owid-covid-data: 53,316 rows where sorted by population

Data license: ODbL · Data source: our world in data github owid/covid-19-data repository

53,316 rows sorted by population

descending

This data as json, copyable, CSV (advanced)

Link	rowid	location	date	total_cases	new_cases	new_cases_smoothed	total_deaths	new_deaths	new_deaths_smoothed
53013	53013	International	2019-12-31		0			0
53014	53014	International	2020-01-01		0			0
53015	53015	International	2020-01-02		0			0
53016	53016	International	2020-01-03		0			0
53017	53017	International	2020-01-04		0			0
53018	53018	International	2020-01-05		0			0
53019	53019	International	2020-01-06		0	0.0		0	0.0
53020	53020	International	2020-01-07		0	0.0		0	0.0
53021	53021	International	2020-01-08		0	0.0		0	0.0
53022	53022	International	2020-01-09		0	0.0		0	0.0
53023	53023	International	2020-01-10		0	0.0		0	0.0
53024	53024	International	2020-01-11		0	0.0		0	0.0
53025	53025	International	2020-01-12		0	0.0		0	0.0
53026	53026	International	2020-01-13		0	0.0		0	0.0
53027	53027	International	2020-01-14		0	0.0		0	0.0
53028	53028	International	2020-01-15		0	0.0		0	0.0
53029	53029	International	2020-01-16		0	0.0		0	0.0
53030	53030	International	2020-01-17		0	0.0		0	0.0
53031	53031	International	2020-01-18		0	0.0		0	0.0
53032	53032	International	2020-01-19		0	0.0		0	0.0
53033	53033	International	2020-01-20		0	0.0		0	0.0
53034	53034	International	2020-01-21		0	0.0		0	0.0
53035	53035	International	2020-01-22		0	0.0		0	0.0
53036	53036	International	2020-01-23		0	0.0		0	0.0
53037	53037	International	2020-01-24		0	0.0		0	0.0
53038	53038	International	2020-01-25		0	0.0		0	0.0
53039	53039	International	2020-01-26		0	0.0		0	0.0
53040	53040	International	2020-01-27		0	0.0		0	0.0
53041	53041	International	2020-01-28		0	0.0		0	0.0
53042	53042	International	2020-01-29		0	0.0		0	0.0
53043	53043	International	2020-01-30		0	0.0		0	0.0
53044	53044	International	2020-01-31		0	0.0		0	0.0
53045	53045	International	2020-02-01		0	0.0		0	0.0
53046	53046	International	2020-02-02		0	0.0		0	0.0
53047	53047	International	2020-02-03		0	0.0		0	0.0
53048	53048	International	2020-02-04		0	0.0		0	0.0
53049	53049	International	2020-02-05	10	10	1.429		0	0.0
53050	53050	International	2020-02-06	20	10	2.8569999999999998		0	0.0
53051	53051	International	2020-02-07	61	41	8.714		0	0.0
53052	53052	International	2020-02-08	64	3	9.142999999999999		0	0.0
53053	53053	International	2020-02-09	64	0	9.142999999999999		0	0.0
53054	53054	International	2020-02-10	70	6	10.0		0	0.0
53055	53055	International	2020-02-11	135	65	19.285999999999998		0	0.0
53056	53056	International	2020-02-12	174	39	23.429000000000002		0	0.0
53057	53057	International	2020-02-13	174	0	22.0		0	0.0
53058	53058	International	2020-02-14	221	47	22.857		0	0.0
53059	53059	International	2020-02-15	221	0	22.429000000000002		0	0.0
53060	53060	International	2020-02-16	355	134	41.571000000000005		0	0.0
53061	53061	International	2020-02-17	355	0	40.714		0	0.0
53062	53062	International	2020-02-18	454	99	45.571000000000005		0	0.0
53063	53063	International	2020-02-19	542	88	52.571000000000005		0	0.0
53064	53064	International	2020-02-20	621	79	63.857	2	2	0.28600000000000003
53065	53065	International	2020-02-21	634	13	59.0	2	0	0.28600000000000003
53066	53066	International	2020-02-22	634	0	59.0	2	0	0.28600000000000003
53067	53067	International	2020-02-23	634	0	39.857	2	0	0.28600000000000003
53068	53068	International	2020-02-24	691	57	48.0	3	1	0.429
53069	53069	International	2020-02-25	691	0	33.857	3	0	0.429
53070	53070	International	2020-02-26	691	0	21.285999999999998	4	1	0.5710000000000001
53071	53071	International	2020-02-27	705	14	12.0	4	0	0.28600000000000003
53072	53072	International	2020-02-28	705	0	10.142999999999999	4	0	0.28600000000000003
53073	53073	International	2020-02-29	705	0	10.142999999999999	6	2	0.5710000000000001
53074	53074	International	2020-03-01	705	0	10.142999999999999	6	0	0.5710000000000001
53075	53075	International	2020-03-02	705	0	2.0	6	0	0.429
53076	53076	International	2020-03-03	705		2.0	6		0.429
53077	53077	International	2020-03-04	705		2.0	6		0.28600000000000003
53078	53078	International	2020-03-05	705		0.0	6		0.28600000000000003
53079	53079	International	2020-03-06	705		0.0	6		0.28600000000000003
53080	53080	International	2020-03-07	705		0.0	6		0.0
53081	53081	International	2020-03-08	705		0.0	6		0.0
53082	53082	International	2020-03-09	705		0.0	6		0.0
53083	53083	International	2020-03-10	696	-9	-1.286	7	1	0.14300000000000002
53084	53084	International	2020-03-11	696			7
53085	53085	International	2020-03-12	696			7
53086	53086	International	2020-03-13	696			7
53087	53087	International	2020-03-14	696			7
53088	53088	International	2020-03-15	696			7
53089	53089	International	2020-03-16	696			7
53090	53090	International	2020-03-17	696			7
53091	53091	International	2020-03-18	696			7
53092	53092	International	2020-03-19	696			7
53093	53093	International	2020-03-20	696			7
53094	53094	International	2020-03-21	696			7
53095	53095	International	2020-03-22	696			7
53096	53096	International	2020-03-23	696			7
53097	53097	International	2020-03-24	696			7
53098	53098	International	2020-03-25	696			7
53099	53099	International	2020-03-26	696			7
53100	53100	International	2020-03-27	696			7
53101	53101	International	2020-03-28	696			7
53102	53102	International	2020-03-29	696			7
53103	53103	International	2020-03-30	696			7
53104	53104	International	2020-03-31	696			7
53105	53105	International	2020-04-01	696			7
53106	53106	International	2020-04-02	696			7
53107	53107	International	2020-04-03	696			7
53108	53108	International	2020-04-04	696			7
53109	53109	International	2020-04-05	696			7
53110	53110	International	2020-04-06	696			7
53111	53111	International	2020-04-07	696			7
53112	53112	International	2020-04-08	696			7

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CREATE TABLE "owid-covid-data" (
"iso_code" TEXT,
  "continent" TEXT,
  "location" TEXT,
  "date" TEXT,
  "total_cases" INTEGER,
  "new_cases" INTEGER,
  "new_cases_smoothed" REAL,
  "total_deaths" INTEGER,
  "new_deaths" INTEGER,
  "new_deaths_smoothed" REAL,
  "total_cases_per_million" REAL,
  "new_cases_per_million" REAL,
  "new_cases_smoothed_per_million" REAL,
  "total_deaths_per_million" REAL,
  "new_deaths_per_million" REAL,
  "new_deaths_smoothed_per_million" REAL,
  "icu_patients" INTEGER,
  "icu_patients_per_million" REAL,
  "hosp_patients" INTEGER,
  "hosp_patients_per_million" REAL,
  "weekly_icu_admissions" REAL,
  "weekly_icu_admissions_per_million" REAL,
  "weekly_hosp_admissions" REAL,
  "weekly_hosp_admissions_per_million" REAL,
  "total_tests" INTEGER,
  "new_tests" INTEGER,
  "total_tests_per_thousand" REAL,
  "new_tests_per_thousand" REAL,
  "new_tests_smoothed" INTEGER,
  "new_tests_smoothed_per_thousand" REAL,
  "tests_per_case" REAL,
  "positive_rate" REAL,
  "tests_units" TEXT,
  "stringency_index" REAL,
  "population" INTEGER,
  "population_density" REAL,
  "median_age" REAL,
  "aged_65_older" REAL,
  "aged_70_older" REAL,
  "gdp_per_capita" REAL,
  "extreme_poverty" REAL,
  "cardiovasc_death_rate" REAL,
  "diabetes_prevalence" REAL,
  "female_smokers" REAL,
  "male_smokers" REAL,
  "handwashing_facilities" REAL,
  "hospital_beds_per_thousand" REAL,
  "life_expectancy" REAL,
  "human_development_index" REAL
);