excess_mortality

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

35 rows where "date" is on date 2020-05-10

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Suggested facets: p_scores_all_ages, p_scores_0_14, p_scores_15_64, p_scores_65_74, p_scores_75_84, p_scores_85plus, delay, date (date)

Link rowid ▼ location date p_scores_all_ages p_scores_0_14 p_scores_15_64 p_scores_65_74 p_scores_75_84 p_scores_85plus deaths_2020_all_ages avg_deaths_2015_2019 deaths_2015_all_ages deaths_2016_all_ages deaths_2017_all_ages deaths_2018_all_ages deaths_2019_all_ages delay
19 19 Austria 2020-05-10 6 -53 5 2 8 6 1520 1439 1452 1486 1434 1372 1453 7
59 59 Belgium 2020-05-10 17 -70 -8 13 12 34 2380 2030 2063 2065 2009 1980 2034 14
97 97 Bulgaria 2020-05-10 -6 -22 -8 5 -12 -6 1908 2029 2113 2044 1983 1887 2120 14
136 136 Chile 2020-05-10 20 -12 19 20 22 20 2339 1956   1965 1921 1864 2073 14
175 175 Croatia 2020-05-10 -10 46 -11 9 -24 -6 851 948 1011 912 925 935 958 14
208 208 Czech Republic 2020-05-10 -2 -42 -13 -1 2 2 1990 2023 1988 2001 2074 1958 2093 14
241 241 Denmark 2020-05-10 1 25 -3 -9 11 0 1023 1014 978 1023 1015 1025 1028 14
280 280 England & Wales 2020-05-10 32 -27 13 20 33 45 12657 9573 8861 10633 10690 8624 9055 14
319 319 Estonia 2020-05-10 10 -100 24 1 24 -4 316 288 278 299 319 268 274 14
358 358 Finland 2020-05-10 8 47 -7 20 9 8 1073 991 1009 947 1049 980 972 14
397 397 France 2020-05-10 4 -35 -8 13 -3 9 11023 10639 10480 10697 10691 10332 10994 14
433 433 Germany 2020-05-10 2 -10 -1 -1 -1 6 17600 17329   17629 17343 17226 17118 7
470 470 Greece 2020-05-10 -2 -2 6 -13 -7 3 2125 2168   2209 2159 1980 2323 14
498 498 Hungary 2020-05-10 -1 -53 -8 9 -1 -2 2293 2315 2420 2370 2340 2160 2283 14
530 530 Iceland 2020-05-10 -11 -100 11 -35 35 -34 37 42 37 39 45 43 44 14
565 565 Israel 2020-05-10 5 -35 -14 9 6 13 857 817 848 746 848 797 847 14
603 603 Italy 2020-05-10 7 -35 2 5 4 12 11676 10883 11393 10644 11075 10324 10981 14
627 627 Latvia 2020-05-10 7 25 -11 22 9 9 578 541 513 545 549 554 545 14
667 667 Lithuania 2020-05-10 -6 18 -5 1 -10 -8 717 763 796 757 793 777 691 7
704 704 Luxembourg 2020-05-10 26 1400 9 56 21 18 89 70 68 68 73 77 66 14
735 735 Netherlands 2020-05-10 7 59 -5 7 12 7 2980 2783 2742 2955 2802 2644 2774 7
775 775 New Zealand 2020-05-10 0 -11 -5 0 1 1 629 632 620 620 626 623 669 7
812 812 Northern Ireland 2020-05-10 21 -67 15 6 25 31 336 278 256 317 301 229 286 14
851 851 Norway 2020-05-10 1 54 1 11 11 -11 741 736 728 711 733 738 772 14
890 890 Poland 2020-05-10 4 0 -6 18 -7 13 7575 7285 7324 7229 7060 7311 7502 14
928 928 Portugal 2020-05-10 13 -11 1 13 7 22 2170 1919 1941 1849 1846 1970 1988 14
966 966 Scotland 2020-05-10 39 -20 12 26 57 46 1435 1034 1020 1047 1119 967 1018 14
1005 1005 Slovakia 2020-05-10 4 58 -8 14 8 -1 990 954 958 988 919 952 955 14
1038 1038 Slovenia 2020-05-10 5 1900 -21 43 -14 15 380 361 362 358 358 367 358 14
1071 1071 South Korea 2020-05-10 3 -47 -4 -6 2 17 5499 5353 5129 5236 5312 5477 5612 28
1102 1102 Spain 2020-05-10 14 39 11 18 1 21 8591 7556 7464 7374 7622 7595 7726 14
1141 1141 Sweden 2020-05-10 33 -13 -2 16 51 38 2182 1637 1661 1586 1724 1572 1643 14
1180 1180 Switzerland 2020-05-10 -2 -19 -4 -5 -3 0 1174 1196 1161 1149 1204 1200 1266 14
1217 1217 United Kingdom 2020-05-10 32                         14
1239 1239 United States 2020-05-10 28 -8 25 32 30 27 66574 52037 51651 50992 51981 52101 53458 28

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CREATE TABLE "excess_mortality" (
"location" TEXT,
  "date" TEXT,
  "p_scores_all_ages" INTEGER,
  "p_scores_0_14" INTEGER,
  "p_scores_15_64" INTEGER,
  "p_scores_65_74" INTEGER,
  "p_scores_75_84" INTEGER,
  "p_scores_85plus" INTEGER,
  "deaths_2020_all_ages" INTEGER,
  "avg_deaths_2015_2019" INTEGER,
  "deaths_2015_all_ages" INTEGER,
  "deaths_2016_all_ages" INTEGER,
  "deaths_2017_all_ages" INTEGER,
  "deaths_2018_all_ages" INTEGER,
  "deaths_2019_all_ages" INTEGER,
  "delay" INTEGER
);