location_id,location_name,parent_id,level,gbd_region_id,gbd_region_name,gbd_super_region_id,gbd_super_region_name,measure_name,metric_id,metric_name,mean_value,lower_ci,upper_ci
1,Global,1,0,NA,,NA,,covid_death_rate,3,Rate,39.2,NA,NA
1,Global,1,0,NA,,NA,,excess_deaths,1,Number,18200000,17100000,19600000
1,Global,1,0,NA,,NA,,excess_death_rate,3,Rate,120.3,113.1,129.3
1,Global,1,0,NA,,NA,,ratio_excess_over_covid,NA,NA,3.07,2.88,3.3
1,Global,1,0,NA,,NA,,reported_covid_deaths,1,Number,5940000,NA,NA
31,"Central Europe, eastern Europe, and central Asia",1,1,NA,,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,148.2,NA,NA
31,"Central Europe, eastern Europe, and central Asia",1,1,NA,,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,2340000,2310000,2380000
31,"Central Europe, eastern Europe, and central Asia",1,1,NA,,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,296.5,291.9,300.5
31,"Central Europe, eastern Europe, and central Asia",1,1,NA,,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2,1.97,2.03
31,"Central Europe, eastern Europe, and central Asia",1,1,NA,,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,1170000,NA,NA
32,Central Asia,31,2,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,30.2,NA,NA
32,Central Asia,31,2,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,281000,271000,292000
32,Central Asia,31,2,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,160.6,155,166.8
32,Central Asia,31,2,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,5.32,5.14,5.53
32,Central Asia,31,2,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,52800,NA,NA
33,Armenia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,140.9,NA,NA
33,Armenia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,20600,19600,21900
33,Armenia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,364.4,347,387.6
33,Armenia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.59,2.46,2.75
33,Armenia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,7970,NA,NA
34,Azerbaijan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,42.4,NA,NA
34,Azerbaijan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,53500,51400,55600
34,Azerbaijan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,271.5,260.8,282.2
34,Azerbaijan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,6.4,6.15,6.66
34,Azerbaijan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,8360,NA,NA
35,Georgia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,203,NA,NA
35,Georgia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,15800,14100,18000
35,Georgia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,233.1,207.6,264.4
35,Georgia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.15,1.02,1.3
35,Georgia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,13800,NA,NA
36,Kazakhstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,37.1,NA,NA
36,Kazakhstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,49000,46800,50900
36,Kazakhstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,141,134.8,146.7
36,Kazakhstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,3.8,3.64,3.96
36,Kazakhstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,12900,NA,NA
37,Kyrgyzstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,22.4,NA,NA
37,Kyrgyzstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,22600,21200,23900
37,Kyrgyzstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,180.2,169.4,190.4
37,Kyrgyzstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,8.06,7.58,8.52
37,Kyrgyzstan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,2800,NA,NA
38,Mongolia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,33.4,NA,NA
38,Mongolia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,5600,4540,6430
38,Mongolia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,90.9,73.7,104.4
38,Mongolia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.72,2.21,3.13
38,Mongolia,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,2060,NA,NA
39,Tajikistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,1.4,NA,NA
39,Tajikistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,29400,28300,30500
39,Tajikistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,160.6,155,166.8
39,Tajikistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,115.8,111.78,120.29
39,Tajikistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,254,NA,NA
40,Turkmenistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,33.5,NA,NA
40,Turkmenistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,15200,14700,15800
40,Turkmenistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,160.6,155,166.8
40,Turkmenistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,4.79,4.62,4.97
40,Turkmenistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,3180,NA,NA
41,Uzbekistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,2.4,NA,NA
41,Uzbekistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,69100,66000,73400
41,Uzbekistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,112.3,107.4,119.3
41,Uzbekistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,46.51,44.47,49.41
41,Uzbekistan,32,3,32,Central Asia,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,1480,NA,NA
42,Central Europe,31,2,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,157.8,NA,NA
42,Central Europe,31,2,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,674000,657000,687000
42,Central Europe,31,2,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,315.7,308,322
42,Central Europe,31,2,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2,1.95,2.04
42,Central Europe,31,2,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,337000,NA,NA
43,Albania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,64.4,NA,NA
43,Albania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,17300,16500,18100
43,Albania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,346.5,331.1,361.3
43,Albania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,5.38,5.14,5.61
43,Albania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,3220,NA,NA
44,Bosnia and Herzegovina,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,214.8,NA,NA
44,Bosnia and Herzegovina,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,20900,19600,22000
44,Bosnia and Herzegovina,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,333.9,313.8,351.7
44,Bosnia and Herzegovina,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.55,1.46,1.64
44,Bosnia and Herzegovina,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,13400,NA,NA
45,Bulgaria,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,243,NA,NA
45,Bulgaria,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,82500,81200,83800
45,Bulgaria,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,647.3,637.6,658.2
45,Bulgaria,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.66,2.62,2.71
45,Bulgaria,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,31000,NA,NA
46,Croatia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,156.7,NA,NA
46,Croatia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,22900,22100,23800
46,Croatia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,285.6,275.7,297.6
46,Croatia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.82,1.76,1.9
46,Croatia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,12500,NA,NA
47,Czechia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,180.1,NA,NA
47,Czechia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,49100,47000,51000
47,Czechia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,244.8,234.5,254.5
47,Czechia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.36,1.3,1.41
47,Czechia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,36100,NA,NA
48,Hungary,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,217,NA,NA
48,Hungary,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,53800,52400,55200
48,Hungary,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,297.8,290.2,305.5
48,Hungary,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.37,1.34,1.41
48,Hungary,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,39200,NA,NA
50,Montenegro,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,210.9,NA,NA
50,Montenegro,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,4080,3670,4470
50,Montenegro,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,357,321.2,390.9
50,Montenegro,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.69,1.52,1.85
50,Montenegro,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,2410,NA,NA
49,North Macedonia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,229.9,NA,NA
49,North Macedonia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,20200,19100,21200
49,North Macedonia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,583.6,552.9,613.8
49,North Macedonia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.54,2.4,2.67
49,North Macedonia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,7960,NA,NA
51,Poland,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,135,NA,NA
51,Poland,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,214000,210000,218000
51,Poland,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,297.2,291.7,302.7
51,Poland,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.2,2.16,2.24
51,Poland,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,97100,NA,NA
52,Romania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,161.9,NA,NA
52,Romania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,119000,115000,125000
52,Romania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,328.7,318.1,345.2
52,Romania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.03,1.97,2.13
52,Romania,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,58800,NA,NA
53,Serbia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,77.7,NA,NA
53,Serbia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,37400,35200,40700
53,Serbia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,228.9,215.4,248.7
53,Serbia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.95,2.77,3.2
53,Serbia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,12700,NA,NA
54,Slovakia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,163.7,NA,NA
54,Slovakia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,25400,23800,26600
54,Slovakia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,250.4,234.6,261.5
54,Slovakia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.53,1.43,1.6
54,Slovakia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,16600,NA,NA
55,Slovenia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,144,NA,NA
55,Slovenia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,6980,6070,7830
55,Slovenia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,179.9,156.5,201.8
55,Slovenia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.25,1.09,1.4
55,Slovenia,42,3,42,Central Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,5590,NA,NA
56,Eastern Europe,31,2,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,194.4,NA,NA
56,Eastern Europe,31,2,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,1390000,1370000,1410000
56,Eastern Europe,31,2,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,345.2,340.6,349.5
56,Eastern Europe,31,2,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.78,1.75,1.8
56,Eastern Europe,31,2,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,783000,NA,NA
57,Belarus,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,31.5,NA,NA
57,Belarus,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,85600,81600,93400
57,Belarus,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,483.1,460.7,527
57,Belarus,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,15.34,14.63,16.74
57,Belarus,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,5580,NA,NA
58,Estonia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,77.8,NA,NA
58,Estonia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,5630,5180,6180
58,Estonia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,226.7,208.3,248.9
58,Estonia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.92,2.68,3.2
58,Estonia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,1930,NA,NA
59,Latvia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,129.3,NA,NA
59,Latvia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,12400,11700,13100
59,Latvia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,352,332.1,371.5
59,Latvia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.72,2.57,2.87
59,Latvia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,4570,NA,NA
60,Lithuania,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,142.5,NA,NA
60,Lithuania,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,20000,19200,20800
60,Lithuania,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,385,370.3,400.4
60,Lithuania,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,2.7,2.6,2.81
60,Lithuania,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,7390,NA,NA
61,Moldova,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,152.8,NA,NA
61,Moldova,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,16500,15100,18100
61,Moldova,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,245.2,223.9,268.8
61,Moldova,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.6,1.47,1.76
61,Moldova,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,10300,NA,NA
62,Russia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,228.1,NA,NA
62,Russia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,1070000,1060000,1080000
62,Russia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,374.6,369.7,378.4
62,Russia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.64,1.62,1.66
62,Russia,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,651000,NA,NA
63,Ukraine,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",covid_death_rate,3,Rate,125,NA,NA
63,Ukraine,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_deaths,1,Number,181000,177000,186000
63,Ukraine,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",excess_death_rate,3,Rate,221.7,217,228.2
63,Ukraine,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",ratio_excess_over_covid,NA,NA,1.77,1.74,1.83
63,Ukraine,56,3,56,Eastern Europe,31,"Central Europe, Eastern Europe, and Central Asia",reported_covid_deaths,1,Number,102000,NA,NA
64,High income,1,1,NA,,64,High-income,covid_death_rate,3,Rate,87.9,NA,NA
64,High income,1,1,NA,,64,High-income,excess_deaths,1,Number,2640000,2520000,2750000
64,High income,1,1,NA,,64,High-income,excess_death_rate,3,Rate,125.8,120.2,131.1
64,High income,1,1,NA,,64,High-income,ratio_excess_over_covid,NA,NA,1.43,1.37,1.49
64,High income,1,1,NA,,64,High-income,reported_covid_deaths,1,Number,1840000,NA,NA
70,Australasia,64,2,70,Australasia,64,High-income,covid_death_rate,3,Rate,4,NA,NA
70,Australasia,64,2,70,Australasia,64,High-income,excess_deaths,1,Number,-19000,-22200,-15200
70,Australasia,64,2,70,Australasia,64,High-income,excess_death_rate,3,Rate,-32.9,-38.6,-26.4
70,Australasia,64,2,70,Australasia,64,High-income,ratio_excess_over_covid,NA,NA,-8.23,-9.65,-6.6
70,Australasia,64,2,70,Australasia,64,High-income,reported_covid_deaths,1,Number,2300,NA,NA
71,Australia,70,3,70,Australasia,64,High-income,covid_death_rate,3,Rate,4.7,NA,NA
71,Australia,70,3,70,Australasia,64,High-income,excess_deaths,1,Number,-18100,-21400,-14400
71,Australia,70,3,70,Australasia,64,High-income,excess_death_rate,3,Rate,-37.6,-44.5,-29.9
71,Australia,70,3,70,Australasia,64,High-income,ratio_excess_over_covid,NA,NA,-8.03,-9.52,-6.39
71,Australia,70,3,70,Australasia,64,High-income,reported_covid_deaths,1,Number,2250,NA,NA
72,New Zealand,70,3,70,Australasia,64,High-income,covid_death_rate,3,Rate,0.5,NA,NA
72,New Zealand,70,3,70,Australasia,64,High-income,excess_deaths,1,Number,-872,-1330,-451
72,New Zealand,70,3,70,Australasia,64,High-income,excess_death_rate,3,Rate,-9.3,-14.1,-4.8
72,New Zealand,70,3,70,Australasia,64,High-income,ratio_excess_over_covid,NA,NA,-17.1,-26.06,-8.84
72,New Zealand,70,3,70,Australasia,64,High-income,reported_covid_deaths,1,Number,51,NA,NA
65,High-income Asia Pacific,64,2,65,High-income Asia Pacific,64,High-income,covid_death_rate,3,Rate,6.8,NA,NA
65,High-income Asia Pacific,64,2,65,High-income Asia Pacific,64,High-income,excess_deaths,1,Number,114000,103000,124000
65,High-income Asia Pacific,64,2,65,High-income Asia Pacific,64,High-income,excess_death_rate,3,Rate,30.9,28.1,33.8
65,High-income Asia Pacific,64,2,65,High-income Asia Pacific,64,High-income,ratio_excess_over_covid,NA,NA,4.56,4.15,4.99
65,High-income Asia Pacific,64,2,65,High-income Asia Pacific,64,High-income,reported_covid_deaths,1,Number,24900,NA,NA
66,Brunei,65,3,65,High-income Asia Pacific,64,High-income,covid_death_rate,3,Rate,11.7,NA,NA
66,Brunei,65,3,65,High-income Asia Pacific,64,High-income,excess_deaths,1,Number,132,44,217
66,Brunei,65,3,65,High-income Asia Pacific,64,High-income,excess_death_rate,3,Rate,15.8,5.2,25.9
66,Brunei,65,3,65,High-income Asia Pacific,64,High-income,ratio_excess_over_covid,NA,NA,1.35,0.44,2.22
66,Brunei,65,3,65,High-income Asia Pacific,64,High-income,reported_covid_deaths,1,Number,98,NA,NA
67,Japan,65,3,65,High-income Asia Pacific,64,High-income,covid_death_rate,3,Rate,7.3,NA,NA
67,Japan,65,3,65,High-income Asia Pacific,64,High-income,excess_deaths,1,Number,111000,103000,116000
67,Japan,65,3,65,High-income Asia Pacific,64,High-income,excess_death_rate,3,Rate,44.1,41,46.4
67,Japan,65,3,65,High-income Asia Pacific,64,High-income,ratio_excess_over_covid,NA,NA,6.02,5.58,6.33
67,Japan,65,3,65,High-income Asia Pacific,64,High-income,reported_covid_deaths,1,Number,18400,NA,NA
69,Singapore,65,3,65,High-income Asia Pacific,64,High-income,covid_death_rate,3,Rate,7.4,NA,NA
69,Singapore,65,3,65,High-income Asia Pacific,64,High-income,excess_deaths,1,Number,-1770,-2360,-1090
69,Singapore,65,3,65,High-income Asia Pacific,64,High-income,excess_death_rate,3,Rate,-15.8,-21,-9.8
69,Singapore,65,3,65,High-income Asia Pacific,64,High-income,ratio_excess_over_covid,NA,NA,-2.14,-2.85,-1.32
69,Singapore,65,3,65,High-income Asia Pacific,64,High-income,reported_covid_deaths,1,Number,828,NA,NA
68,South Korea,65,3,65,High-income Asia Pacific,64,High-income,covid_death_rate,3,Rate,5.4,NA,NA
68,South Korea,65,3,65,High-income Asia Pacific,64,High-income,excess_deaths,1,Number,4630,-658,9580
68,South Korea,65,3,65,High-income Asia Pacific,64,High-income,excess_death_rate,3,Rate,4.4,-0.6,9.1
68,South Korea,65,3,65,High-income Asia Pacific,64,High-income,ratio_excess_over_covid,NA,NA,0.82,-0.12,1.7
68,South Korea,65,3,65,High-income Asia Pacific,64,High-income,reported_covid_deaths,1,Number,5620,NA,NA
100,High-income North America,64,2,100,High-income North America,64,High-income,covid_death_rate,3,Rate,121.5,NA,NA
100,High-income North America,64,2,100,High-income North America,64,High-income,excess_deaths,1,Number,1180000,1120000,1230000
100,High-income North America,64,2,100,High-income North America,64,High-income,excess_death_rate,3,Rate,167.1,158.9,174.9
100,High-income North America,64,2,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.38,1.31,1.44
100,High-income North America,64,2,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,855000,NA,NA
101,Canada,100,3,100,High-income North America,64,High-income,covid_death_rate,3,Rate,41.9,NA,NA
101,Canada,100,3,100,High-income North America,64,High-income,excess_deaths,1,Number,43700,39900,47300
101,Canada,100,3,100,High-income North America,64,High-income,excess_death_rate,3,Rate,60.5,55.2,65.4
101,Canada,100,3,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.44,1.32,1.56
101,Canada,100,3,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,30300,NA,NA
43858,Alberta,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,40.3,NA,NA
43858,Alberta,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,5560,4660,6470
43858,Alberta,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,67.7,56.7,78.8
43858,Alberta,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.68,1.41,1.96
43858,Alberta,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,3310,NA,NA
43859,British Columbia,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,24.2,NA,NA
43859,British Columbia,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,5260,4350,6250
43859,British Columbia,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,52.5,43.4,62.3
43859,British Columbia,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,2.17,1.8,2.58
43859,British Columbia,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,2420,NA,NA
43860,Manitoba,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,54.5,NA,NA
43860,Manitoba,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,2450,1840,3110
43860,Manitoba,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,95.8,72.1,122
43860,Manitoba,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.76,1.32,2.24
43860,Manitoba,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1390,NA,NA
43861,New Brunswick,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,11.1,NA,NA
43861,New Brunswick,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,391,259,494
43861,New Brunswick,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,27,17.9,34.2
43861,New Brunswick,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,2.44,1.62,3.09
43861,New Brunswick,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,160,NA,NA
43862,Newfoundland and Labrador,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,2,NA,NA
43862,Newfoundland and Labrador,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,106,62,145
43862,Newfoundland and Labrador,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,11,6.4,15
43862,Newfoundland and Labrador,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,5.59,3.26,7.62
43862,Newfoundland and Labrador,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,19,NA,NA
43863,Northwest Territories,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,14.4,NA,NA
43863,Northwest Territories,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,32,26,37
43863,Northwest Territories,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,38.1,31.6,44.8
43863,Northwest Territories,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,2.64,2.19,3.1
43863,Northwest Territories,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,12,NA,NA
43864,Nova Scotia,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,6.1,NA,NA
43864,Nova Scotia,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,327,208,431
43864,Nova Scotia,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,18,11.5,23.8
43864,Nova Scotia,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,2.95,1.87,3.88
43864,Nova Scotia,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,111,NA,NA
43865,Nunavut,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,8.3,NA,NA
43865,Nunavut,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,13,10,16
43865,Nunavut,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,27.7,21.4,32.4
43865,Nunavut,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,3.35,2.59,3.92
43865,Nunavut,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,4,NA,NA
43866,Ontario,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,35.3,NA,NA
43866,Ontario,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,15600,13000,17500
43866,Ontario,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,53.9,44.9,60.8
43866,Ontario,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.53,1.27,1.72
43866,Ontario,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,10200,NA,NA
43868,Quebec,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,73,NA,NA
43868,Quebec,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,12400,10600,14100
43868,Quebec,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,77,66,87.9
43868,Quebec,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.05,0.9,1.2
43868,Quebec,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,11700,NA,NA
43869,Saskatchewan,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,43.6,NA,NA
43869,Saskatchewan,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,1660,1440,1910
43869,Saskatchewan,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,75.8,66,87.2
43869,Saskatchewan,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.74,1.51,2
43869,Saskatchewan,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,955,NA,NA
43870,Yukon,101,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,19.7,NA,NA
43870,Yukon,101,4,100,High-income North America,64,High-income,excess_deaths,1,Number,32,26,37
43870,Yukon,101,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,42.4,34.5,49.1
43870,Yukon,101,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,2.15,1.75,2.49
43870,Yukon,101,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,15,NA,NA
349,Greenland,100,3,100,High-income North America,64,High-income,covid_death_rate,3,Rate,1,NA,NA
349,Greenland,100,3,100,High-income North America,64,High-income,excess_deaths,1,Number,22,14,29
349,Greenland,100,3,100,High-income North America,64,High-income,excess_death_rate,3,Rate,21.5,13.5,27.8
349,Greenland,100,3,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,22.25,13.99,28.78
349,Greenland,100,3,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1,NA,NA
102,USA,100,3,100,High-income North America,64,High-income,covid_death_rate,3,Rate,130.6,NA,NA
102,USA,100,3,100,High-income North America,64,High-income,excess_deaths,1,Number,1130000,1080000,1180000
102,USA,100,3,100,High-income North America,64,High-income,excess_death_rate,3,Rate,179.3,170.7,187.5
102,USA,100,3,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.37,1.31,1.44
102,USA,100,3,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,824000,NA,NA
523,Alabama,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,176.6,NA,NA
523,Alabama,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,27400,26000,28600
523,Alabama,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,293.5,278.5,307.2
523,Alabama,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.66,1.58,1.74
523,Alabama,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,16500,NA,NA
524,Alaska,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,71.5,NA,NA
524,Alaska,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,1640,1380,1950
524,Alaska,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,120.4,101.5,143.1
524,Alaska,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.68,1.42,2
524,Alaska,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,975,NA,NA
525,Arizona,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,171.9,NA,NA
525,Arizona,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,31900,30700,33300
525,Arizona,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,226.2,218.1,235.9
525,Arizona,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.32,1.27,1.37
525,Arizona,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,24200,NA,NA
526,Arkansas,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,162.3,NA,NA
526,Arkansas,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,14400,13200,15400
526,Arkansas,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,255.5,234.7,272.6
526,Arkansas,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.57,1.45,1.68
526,Arkansas,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,9150,NA,NA
527,California,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,98.4,NA,NA
527,California,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,112000,108000,116000
527,California,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,144.3,138.6,148.7
527,California,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.47,1.41,1.51
527,California,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,76500,NA,NA
528,Colorado,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,94.5,NA,NA
528,Colorado,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,12500,11800,13400
528,Colorado,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,115.2,108.3,123.2
528,Colorado,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.22,1.15,1.3
528,Colorado,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,10300,NA,NA
529,Connecticut,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,136,NA,NA
529,Connecticut,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,10100,9020,11100
529,Connecticut,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,150.5,134,164.5
529,Connecticut,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.11,0.98,1.21
529,Connecticut,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,9160,NA,NA
530,Delaware,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,131.3,NA,NA
530,Delaware,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,3660,3360,4020
530,Delaware,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,200.9,184.2,220.6
530,Delaware,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.53,1.4,1.68
530,Delaware,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,2400,NA,NA
531,"Washington, DC",102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,93.5,NA,NA
531,"Washington, DC",102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,-62,-405,313
531,"Washington, DC",102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,-4.7,-31.3,24.1
531,"Washington, DC",102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,-0.05,-0.33,0.26
531,"Washington, DC",102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1210,NA,NA
532,Florida,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,153,NA,NA
532,Florida,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,86400,84000,88700
532,Florida,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,211.9,206.1,217.4
532,Florida,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.38,1.35,1.42
532,Florida,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,62400,NA,NA
533,Georgia,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,155.6,NA,NA
533,Georgia,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,44300,43100,45700
533,Georgia,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,219.3,213.1,226.1
533,Georgia,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.41,1.37,1.45
533,Georgia,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,31400,NA,NA
534,Hawaii,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,39.7,NA,NA
534,Hawaii,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,851,442,1320
534,Hawaii,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,31.2,16.2,48.4
534,Hawaii,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,0.79,0.41,1.22
534,Hawaii,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1080,NA,NA
535,Idaho,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,120.8,NA,NA
535,Idaho,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,6200,5760,6700
535,Idaho,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,179.8,167.2,194.5
535,Idaho,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.49,1.38,1.61
535,Idaho,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,4160,NA,NA
536,Illinois,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,120.3,NA,NA
536,Illinois,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,43400,40800,45700
536,Illinois,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,172.4,162.3,181.6
536,Illinois,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.43,1.35,1.51
536,Illinois,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,30300,NA,NA
537,Indiana,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,149.7,NA,NA
537,Indiana,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,21500,20600,22700
537,Indiana,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,169.4,162.3,178.2
537,Indiana,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.13,1.08,1.19
537,Indiana,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,19000,NA,NA
538,Iowa,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,132,NA,NA
538,Iowa,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,7940,6870,8840
538,Iowa,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,133.4,115.4,148.5
538,Iowa,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.01,0.87,1.12
538,Iowa,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,7860,NA,NA
539,Kansas,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,127.8,NA,NA
539,Kansas,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,9580,8610,10400
539,Kansas,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,174.8,157,189.9
539,Kansas,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.37,1.23,1.49
539,Kansas,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,7010,NA,NA
540,Kentucky,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,143.6,NA,NA
540,Kentucky,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,20400,19000,21700
540,Kentucky,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,241.5,224.8,257.3
540,Kentucky,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.68,1.57,1.79
540,Kentucky,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,12100,NA,NA
541,Louisiana,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,172.6,NA,NA
541,Louisiana,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,22300,20800,23600
541,Louisiana,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,257.1,240,271.3
541,Louisiana,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.49,1.39,1.57
541,Louisiana,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,15000,NA,NA
542,Maine,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,60.2,NA,NA
542,Maine,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,2600,1760,3290
542,Maine,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,102.4,69.2,129.6
542,Maine,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.7,1.15,2.15
542,Maine,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1530,NA,NA
543,Maryland,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,101.5,NA,NA
543,Maryland,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,19400,18100,20700
543,Maryland,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,167.6,156.1,178.2
543,Maryland,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.65,1.54,1.76
543,Maryland,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,11800,NA,NA
544,Massachusetts,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,146.4,NA,NA
544,Massachusetts,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,15100,13500,16600
544,Massachusetts,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,109.1,97.5,120
544,Massachusetts,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,0.75,0.67,0.82
544,Massachusetts,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,20300,NA,NA
545,Michigan,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,154.7,NA,NA
545,Michigan,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,33600,31800,35500
545,Michigan,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,179.4,169.8,189.5
545,Michigan,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.16,1.1,1.22
545,Michigan,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,29000,NA,NA
546,Minnesota,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,99.5,NA,NA
546,Minnesota,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,10100,8730,11200
546,Minnesota,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,94.1,81.6,105
546,Minnesota,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,0.95,0.82,1.05
546,Minnesota,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,10700,NA,NA
547,Mississippi,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,190,NA,NA
547,Mississippi,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,18100,16900,19100
547,Mississippi,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,329.7,308,347
547,Mississippi,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.74,1.62,1.83
547,Mississippi,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,10400,NA,NA
548,Missouri,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,141.3,NA,NA
548,Missouri,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,22100,21200,23100
548,Missouri,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,192.1,184.4,201.4
548,Missouri,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.36,1.3,1.43
548,Missouri,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,16200,NA,NA
549,Montana,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,143.7,NA,NA
549,Montana,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,3560,2810,4190
549,Montana,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,176.1,138.9,207.3
549,Montana,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.23,0.97,1.44
549,Montana,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,2910,NA,NA
550,Nebraska,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,88.9,NA,NA
550,Nebraska,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,4710,3870,5400
550,Nebraska,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,125.3,103.1,143.7
550,Nebraska,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.41,1.16,1.62
550,Nebraska,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,3340,NA,NA
551,Nevada,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,135,NA,NA
551,Nevada,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,10300,9550,11200
551,Nevada,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,165.2,153.1,179.4
551,Nevada,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.22,1.13,1.33
551,Nevada,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,8420,NA,NA
552,New Hampshire,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,75.5,NA,NA
552,New Hampshire,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,3470,3100,3940
552,New Hampshire,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,133.7,119.6,151.7
552,New Hampshire,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.77,1.58,2.01
552,New Hampshire,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1960,NA,NA
553,New Jersey,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,166.4,NA,NA
553,New Jersey,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,34800,32900,36500
553,New Jersey,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,199.5,188.6,209.4
553,New Jersey,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.2,1.13,1.26
553,New Jersey,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,29000,NA,NA
554,New Mexico,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,148.7,NA,NA
554,New Mexico,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,9450,8940,10000
554,New Mexico,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,240.1,227.1,254
554,New Mexico,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.61,1.53,1.71
554,New Mexico,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,5860,NA,NA
555,New York,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,155.8,NA,NA
555,New York,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,78100,74500,81100
555,New York,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,204.8,195.2,212.5
555,New York,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.31,1.25,1.36
555,New York,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,59400,NA,NA
556,North Carolina,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,98.7,NA,NA
556,North Carolina,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,33700,32300,35500
556,North Carolina,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,171.3,163.9,180.4
556,North Carolina,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.74,1.66,1.83
556,North Carolina,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,19400,NA,NA
557,North Dakota,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,140.9,NA,NA
557,North Dakota,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,165,-192,607
557,North Dakota,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,11.3,-13.1,41.6
557,North Dakota,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,0.08,-0.09,0.29
557,North Dakota,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,2060,NA,NA
558,Ohio,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,142.2,NA,NA
558,Ohio,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,47100,45100,49000
558,Ohio,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,211.6,202.9,220.3
558,Ohio,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.49,1.43,1.55
558,Ohio,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,31600,NA,NA
559,Oklahoma,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,167.5,NA,NA
559,Oklahoma,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,18500,17200,19500
559,Oklahoma,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,249.3,232.8,263.9
559,Oklahoma,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.49,1.39,1.58
559,Oklahoma,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,12400,NA,NA
560,Oregon,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,74.3,NA,NA
560,Oregon,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,10100,8920,11100
560,Oregon,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,125.5,111.1,138.4
560,Oregon,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.69,1.49,1.86
560,Oregon,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,5970,NA,NA
561,Pennsylvania,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,150.8,NA,NA
561,Pennsylvania,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,42000,39900,44200
561,Pennsylvania,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,172.5,164.1,181.6
561,Pennsylvania,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.14,1.09,1.2
561,Pennsylvania,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,36700,NA,NA
562,Rhode Island,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,148,NA,NA
562,Rhode Island,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,2350,1720,2870
562,Rhode Island,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,113.3,83.1,138.6
562,Rhode Island,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,0.77,0.56,0.94
562,Rhode Island,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,3070,NA,NA
563,South Carolina,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,152.5,NA,NA
563,South Carolina,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,23800,23000,24700
563,South Carolina,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,248.1,239.5,257.7
563,South Carolina,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.63,1.57,1.69
563,South Carolina,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,14600,NA,NA
564,South Dakota,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,150.3,NA,NA
564,South Dakota,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,2590,1990,3110
564,South Dakota,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,156.4,120.2,188.2
564,South Dakota,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.04,0.8,1.25
564,South Dakota,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,2490,NA,NA
565,Tennessee,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,160.5,NA,NA
565,Tennessee,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,26800,25900,28100
565,Tennessee,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,206.7,199.2,216.5
565,Tennessee,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.29,1.24,1.35
565,Tennessee,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,20800,NA,NA
566,Texas,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,133.8,NA,NA
566,Texas,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,114000,111000,117000
566,Texas,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,200.8,195.2,205.9
566,Texas,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.5,1.46,1.54
566,Texas,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,75700,NA,NA
567,Utah,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,61.8,NA,NA
567,Utah,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,4810,4260,5470
567,Utah,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,78.1,69.2,88.7
567,Utah,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.26,1.12,1.44
567,Utah,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,3810,NA,NA
568,Vermont,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,39.2,NA,NA
568,Vermont,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,2080,1610,2460
568,Vermont,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,173.1,133.8,204.7
568,Vermont,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,4.41,3.41,5.22
568,Vermont,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,471,NA,NA
569,Virginia,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,96.5,NA,NA
569,Virginia,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,24500,23600,25600
569,Virginia,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,151.8,146.1,158.7
569,Virginia,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.57,1.51,1.64
569,Virginia,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,15600,NA,NA
570,Washington,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,68.8,NA,NA
570,Washington,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,13100,10400,15900
570,Washington,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,90.8,72.3,110.3
570,Washington,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.32,1.05,1.6
570,Washington,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,9900,NA,NA
571,West Virginia,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,160.5,NA,NA
571,West Virginia,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,9260,8340,10000
571,West Virginia,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,278.4,250.8,301.7
571,West Virginia,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.73,1.56,1.88
571,West Virginia,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,5340,NA,NA
572,Wisconsin,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,97,NA,NA
572,Wisconsin,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,12700,11100,14100
572,Wisconsin,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,110.2,96.3,122.3
572,Wisconsin,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.14,0.99,1.26
572,Wisconsin,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,11200,NA,NA
573,Wyoming,102,4,100,High-income North America,64,High-income,covid_death_rate,3,Rate,142.3,NA,NA
573,Wyoming,102,4,100,High-income North America,64,High-income,excess_deaths,1,Number,2120,1670,2530
573,Wyoming,102,4,100,High-income North America,64,High-income,excess_death_rate,3,Rate,197.9,155.6,235.6
573,Wyoming,102,4,100,High-income North America,64,High-income,ratio_excess_over_covid,NA,NA,1.39,1.09,1.66
573,Wyoming,102,4,100,High-income North America,64,High-income,reported_covid_deaths,1,Number,1530,NA,NA
96,Southern Latin America,64,2,96,Southern Latin America,64,High-income,covid_death_rate,3,Rate,129,NA,NA
96,Southern Latin America,64,2,96,Southern Latin America,64,High-income,excess_deaths,1,Number,189000,172000,214000
96,Southern Latin America,64,2,96,Southern Latin America,64,High-income,excess_death_rate,3,Rate,150.2,136.6,169.7
96,Southern Latin America,64,2,96,Southern Latin America,64,High-income,ratio_excess_over_covid,NA,NA,1.16,1.06,1.32
96,Southern Latin America,64,2,96,Southern Latin America,64,High-income,reported_covid_deaths,1,Number,162000,NA,NA
97,Argentina,96,3,96,Southern Latin America,64,High-income,covid_death_rate,3,Rate,137.5,NA,NA
97,Argentina,96,3,96,Southern Latin America,64,High-income,excess_deaths,1,Number,142000,125000,165000
97,Argentina,96,3,96,Southern Latin America,64,High-income,excess_death_rate,3,Rate,166.8,147.1,194.1
97,Argentina,96,3,96,Southern Latin America,64,High-income,ratio_excess_over_covid,NA,NA,1.21,1.07,1.41
97,Argentina,96,3,96,Southern Latin America,64,High-income,reported_covid_deaths,1,Number,117000,NA,NA
98,Chile,96,3,96,Southern Latin America,64,High-income,covid_death_rate,3,Rate,113.7,NA,NA
98,Chile,96,3,96,Southern Latin America,64,High-income,excess_deaths,1,Number,37200,35200,39300
98,Chile,96,3,96,Southern Latin America,64,High-income,excess_death_rate,3,Rate,108.2,102.3,114.3
98,Chile,96,3,96,Southern Latin America,64,High-income,ratio_excess_over_covid,NA,NA,0.95,0.9,1
98,Chile,96,3,96,Southern Latin America,64,High-income,reported_covid_deaths,1,Number,39100,NA,NA
99,Uruguay,96,3,96,Southern Latin America,64,High-income,covid_death_rate,3,Rate,97.6,NA,NA
99,Uruguay,96,3,96,Southern Latin America,64,High-income,excess_deaths,1,Number,9820,8670,11500
99,Uruguay,96,3,96,Southern Latin America,64,High-income,excess_death_rate,3,Rate,155.4,137.2,181.5
99,Uruguay,96,3,96,Southern Latin America,64,High-income,ratio_excess_over_covid,NA,NA,1.59,1.41,1.86
99,Uruguay,96,3,96,Southern Latin America,64,High-income,reported_covid_deaths,1,Number,6170,NA,NA
73,Western Europe,64,2,73,Western Europe,64,High-income,covid_death_rate,3,Rate,94.7,NA,NA
73,Western Europe,64,2,73,Western Europe,64,High-income,excess_deaths,1,Number,1180000,1120000,1230000
73,Western Europe,64,2,73,Western Europe,64,High-income,excess_death_rate,3,Rate,140,133.5,146.3
73,Western Europe,64,2,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.48,1.41,1.54
73,Western Europe,64,2,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,796000,NA,NA
74,Andorra,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,87.6,NA,NA
74,Andorra,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,328,286,376
74,Andorra,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,205.5,178.9,235.1
74,Andorra,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.35,2.04,2.68
74,Andorra,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,140,NA,NA
75,Austria,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,80.7,NA,NA
75,Austria,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,18300,16400,20200
75,Austria,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,107.5,96.1,118.5
75,Austria,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.33,1.19,1.47
75,Austria,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,13700,NA,NA
76,Belgium,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,126.5,NA,NA
76,Belgium,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,32800,30400,35000
76,Belgium,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,146.6,135.8,156.3
76,Belgium,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.16,1.07,1.24
76,Belgium,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,28300,NA,NA
77,Cyprus,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,25.7,NA,NA
77,Cyprus,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,809,509,1110
77,Cyprus,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,32.2,20.2,43.9
77,Cyprus,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.25,0.79,1.71
77,Cyprus,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,646,NA,NA
78,Denmark,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,29.6,NA,NA
78,Denmark,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,10400,8900,11700
78,Denmark,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,94.1,80.5,106.3
78,Denmark,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,3.18,2.72,3.6
78,Denmark,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,3270,NA,NA
79,Finland,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,16.1,NA,NA
79,Finland,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,8780,7190,10200
79,Finland,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,80.8,66.2,94
79,Finland,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,5.03,4.12,5.86
79,Finland,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1740,NA,NA
80,France,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,97.4,NA,NA
80,France,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,155000,151000,160000
80,France,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,124.2,120.5,127.7
80,France,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.28,1.24,1.31
80,France,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,122000,NA,NA
81,Germany,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,66.4,NA,NA
81,Germany,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,203000,193000,210000
81,Germany,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,120.5,115.1,125.1
81,Germany,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.82,1.73,1.88
81,Germany,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,112000,NA,NA
60377,Baden-Württemberg,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,58.6,NA,NA
60377,Baden-Württemberg,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,25300,23400,26900
60377,Baden-Württemberg,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,114.6,105.9,121.5
60377,Baden-Württemberg,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.96,1.81,2.07
60377,Baden-Württemberg,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,13000,NA,NA
60378,Bavaria,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,72.2,NA,NA
60378,Bavaria,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,34600,31700,36500
60378,Bavaria,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,127.2,116.6,134.3
60378,Bavaria,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.76,1.62,1.86
60378,Bavaria,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,19600,NA,NA
60379,Berlin,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,56,NA,NA
60379,Berlin,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,8380,8000,8920
60379,Berlin,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,117.2,111.8,124.6
60379,Berlin,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.09,2,2.22
60379,Berlin,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4010,NA,NA
60380,Brandenburg,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,92.6,NA,NA
60380,Brandenburg,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,7170,6660,7600
60380,Brandenburg,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,141.9,131.8,150.4
60380,Brandenburg,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.53,1.42,1.63
60380,Brandenburg,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4680,NA,NA
60381,Bremen,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,43.9,NA,NA
60381,Bremen,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1420,1290,1530
60381,Bremen,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,103.7,94.6,112.4
60381,Bremen,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.36,2.16,2.56
60381,Bremen,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,599,NA,NA
60382,Hamburg,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,54.7,NA,NA
60382,Hamburg,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3880,3570,4150
60382,Hamburg,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,106.9,98.3,114.1
60382,Hamburg,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.95,1.8,2.09
60382,Hamburg,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1990,NA,NA
60383,Hesse,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,68.1,NA,NA
60383,Hesse,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,15200,14400,15900
60383,Hesse,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,121.2,114.4,126.6
60383,Hesse,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.78,1.68,1.86
60383,Hesse,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,8550,NA,NA
60384,Lower Saxony,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,42.3,NA,NA
60384,Lower Saxony,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,14300,12300,15600
60384,Lower Saxony,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,88.5,76.3,97
60384,Lower Saxony,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.09,1.8,2.29
60384,Lower Saxony,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,6810,NA,NA
60385,Mecklenburg-Western Pomerania,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,44.9,NA,NA
60385,Mecklenburg-Western Pomerania,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3410,2920,3810
60385,Mecklenburg-Western Pomerania,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,104,89,116.3
60385,Mecklenburg-Western Pomerania,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.32,1.98,2.59
60385,Mecklenburg-Western Pomerania,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1470,NA,NA
60386,North Rhine-Westphalia,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,55.8,NA,NA
60386,North Rhine-Westphalia,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,42300,40200,44000
60386,North Rhine-Westphalia,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,116.5,110.7,121.1
60386,North Rhine-Westphalia,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.09,1.98,2.17
60386,North Rhine-Westphalia,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,20300,NA,NA
60387,Rhineland-Palatinate,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,56.1,NA,NA
60387,Rhineland-Palatinate,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,8530,7430,9220
60387,Rhineland-Palatinate,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,103.5,90.2,111.9
60387,Rhineland-Palatinate,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.85,1.61,2
60387,Rhineland-Palatinate,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4620,NA,NA
60388,Saarland,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,61.5,NA,NA
60388,Saarland,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,2290,2090,2440
60388,Saarland,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,113,103.2,120.3
60388,Saarland,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.84,1.68,1.96
60388,Saarland,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1240,NA,NA
60390,Saxony,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,154.4,NA,NA
60390,Saxony,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,16800,15500,18100
60390,Saxony,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,202,187,218
60390,Saxony,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.31,1.21,1.41
60390,Saxony,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,12800,NA,NA
60389,Saxony-Anhalt,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,93,NA,NA
60389,Saxony-Anhalt,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,6400,5950,6830
60389,Saxony-Anhalt,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,140.3,130.3,149.6
60389,Saxony-Anhalt,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.51,1.4,1.61
60389,Saxony-Anhalt,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4250,NA,NA
60391,Schleswig-Holstein,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,32.4,NA,NA
60391,Schleswig-Holstein,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,4520,3820,5090
60391,Schleswig-Holstein,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,77.7,65.8,87.6
60391,Schleswig-Holstein,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.4,2.03,2.7
60391,Schleswig-Holstein,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1880,NA,NA
60392,Thuringia,81,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,132.4,NA,NA
60392,Thuringia,81,4,73,Western Europe,64,High-income,excess_deaths,1,Number,8140,7520,8770
60392,Thuringia,81,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,184.6,170.4,198.9
60392,Thuringia,81,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.39,1.29,1.5
60392,Thuringia,81,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,5840,NA,NA
82,Greece,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,104.1,NA,NA
82,Greece,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,25400,23400,27400
82,Greece,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,127.1,117,137.2
82,Greece,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.22,1.12,1.32
82,Greece,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,20800,NA,NA
83,Iceland,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,5.6,NA,NA
83,Iceland,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,-314,-703,11
83,Iceland,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,-47.8,-107.1,1.6
83,Iceland,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,-8.49,-19.01,0.29
83,Iceland,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,37,NA,NA
84,Ireland,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,63.5,NA,NA
84,Ireland,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,1170,84,2330
84,Ireland,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,12.5,0.9,25
84,Ireland,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,0.2,0.01,0.39
84,Ireland,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,5910,NA,NA
85,Israel,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,45.3,NA,NA
85,Israel,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,9280,7860,10600
85,Israel,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,51,43.2,58.2
85,Israel,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.13,0.95,1.28
85,Israel,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,8240,NA,NA
86,Italy,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,120.6,NA,NA
86,Italy,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,259000,242000,276000
86,Italy,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,227.4,212,242.5
86,Italy,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.89,1.76,2.01
86,Italy,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,137000,NA,NA
35507,Abruzzo,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,106.4,NA,NA
35507,Abruzzo,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,4570,4040,5130
35507,Abruzzo,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,184.2,162.7,206.9
35507,Abruzzo,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.73,1.53,1.94
35507,Abruzzo,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,2640,NA,NA
35511,Basilicata,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,60.2,NA,NA
35511,Basilicata,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1700,1360,2040
35511,Basilicata,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,161.9,128.9,193.9
35511,Basilicata,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.69,2.14,3.22
35511,Basilicata,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,634,NA,NA
35512,Calabria,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,44.3,NA,NA
35512,Calabria,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,6920,6180,7670
35512,Calabria,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,190,169.8,210.5
35512,Calabria,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,4.29,3.83,4.75
35512,Calabria,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1610,NA,NA
35509,Campania,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,77.8,NA,NA
35509,Campania,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,18600,17300,19900
35509,Campania,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,170.6,159.2,182.6
35509,Campania,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.19,2.04,2.35
35509,Campania,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,8470,NA,NA
35502,Emilia-Romagna,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,164.8,NA,NA
35502,Emilia-Romagna,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,19900,18600,21100
35502,Emilia-Romagna,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,230.2,215.7,244.7
35502,Emilia-Romagna,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.4,1.31,1.48
35502,Emilia-Romagna,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,14200,NA,NA
35501,Friuli-Venezia Giulia,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,184,NA,NA
35501,Friuli-Venezia Giulia,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,5060,4610,5610
35501,Friuli-Venezia Giulia,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,221.1,201.3,245
35501,Friuli-Venezia Giulia,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.2,1.09,1.33
35501,Friuli-Venezia Giulia,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4210,NA,NA
35506,Lazio,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,85.5,NA,NA
35506,Lazio,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,18400,17100,19600
35506,Lazio,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,169.4,158,180.8
35506,Lazio,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.98,1.85,2.11
35506,Lazio,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,9270,NA,NA
35496,Liguria,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,158,NA,NA
35496,Liguria,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,9840,9410,10300
35496,Liguria,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,339.2,324.4,356
35496,Liguria,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.15,2.05,2.25
35496,Liguria,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4580,NA,NA
35497,Lombardia,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,185.9,NA,NA
35497,Lombardia,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,59500,56600,62000
35497,Lombardia,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,315.1,300.1,328.5
35497,Lombardia,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.7,1.61,1.77
35497,Lombardia,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,35100,NA,NA
35505,Marche,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,109.6,NA,NA
35505,Marche,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,7400,6790,8040
35505,Marche,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,250,229.5,271.5
35505,Marche,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.28,2.09,2.48
35505,Marche,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,3240,NA,NA
35508,Molise,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,90,NA,NA
35508,Molise,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1900,1780,2070
35508,Molise,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,334.5,312.1,363.1
35508,Molise,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,3.72,3.47,4.03
35508,Molise,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,512,NA,NA
35494,Piemonte,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,146,NA,NA
35494,Piemonte,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,27100,25600,28700
35494,Piemonte,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,328.9,310.6,347.5
35494,Piemonte,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.25,2.13,2.38
35494,Piemonte,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,12000,NA,NA
35498,Provincia autonoma di Bolzano,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,130.5,NA,NA
35498,Provincia autonoma di Bolzano,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1670,1430,2040
35498,Provincia autonoma di Bolzano,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,167.3,143,203.7
35498,Provincia autonoma di Bolzano,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.28,1.1,1.56
35498,Provincia autonoma di Bolzano,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1300,NA,NA
35499,Provincia autonoma di Trento,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,136.4,NA,NA
35499,Provincia autonoma di Trento,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1790,1580,2030
35499,Provincia autonoma di Trento,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,172.2,151.4,194.4
35499,Provincia autonoma di Trento,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.26,1.11,1.42
35499,Provincia autonoma di Trento,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1420,NA,NA
35510,Puglia,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,91.7,NA,NA
35510,Puglia,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,17700,16300,19000
35510,Puglia,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,232.1,214,249.6
35510,Puglia,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.53,2.33,2.72
35510,Puglia,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,6990,NA,NA
35514,Sardegna,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,56.3,NA,NA
35514,Sardegna,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,4670,4090,5320
35514,Sardegna,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,152.3,133.2,173.3
35514,Sardegna,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.7,2.36,3.08
35514,Sardegna,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1730,NA,NA
35513,Sicilia,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,79.3,NA,NA
35513,Sicilia,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,19400,18000,20600
35513,Sicilia,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,204.5,189.7,218
35513,Sicilia,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.58,2.39,2.75
35513,Sicilia,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,7500,NA,NA
35503,Toscana,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,107.5,NA,NA
35503,Toscana,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,12700,11700,13800
35503,Toscana,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,179.6,165.4,195
35503,Toscana,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.67,1.54,1.81
35503,Toscana,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,7590,NA,NA
35504,Umbria,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,87.2,NA,NA
35504,Umbria,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3180,2960,3440
35504,Umbria,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,184.5,171.7,199.7
35504,Umbria,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.11,1.97,2.29
35504,Umbria,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1500,NA,NA
35495,Valle d'Aosta,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,204.2,NA,NA
35495,Valle d'Aosta,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,713,572,840
35495,Valle d'Aosta,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,298.3,239.5,351.7
35495,Valle d'Aosta,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.46,1.17,1.72
35495,Valle d'Aosta,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,488,NA,NA
35500,Veneto,86,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,132.5,NA,NA
35500,Veneto,86,4,73,Western Europe,64,High-income,excess_deaths,1,Number,16600,15300,17800
35500,Veneto,86,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,177.5,164,190.7
35500,Veneto,86,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.34,1.24,1.44
35500,Veneto,86,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,12400,NA,NA
87,Luxembourg,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,76,NA,NA
87,Luxembourg,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,1070,685,1400
87,Luxembourg,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,89.2,56.8,116.4
87,Luxembourg,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.17,0.75,1.53
87,Luxembourg,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,915,NA,NA
88,Malta,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,58.2,NA,NA
88,Malta,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,735,528,925
88,Malta,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,89.9,64.6,113
88,Malta,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.54,1.11,1.94
88,Malta,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,476,NA,NA
367,Monaco,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,53.1,NA,NA
367,Monaco,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,53,40,62
367,Monaco,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,74.4,55.5,86.3
367,Monaco,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.4,1.04,1.63
367,Monaco,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,38,NA,NA
89,Netherlands,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,65.8,NA,NA
89,Netherlands,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,45500,42700,48000
89,Netherlands,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,140,131.3,147.6
89,Netherlands,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.13,2,2.24
89,Netherlands,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,21400,NA,NA
90,Norway,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,12.8,NA,NA
90,Norway,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,742,-4,1630
90,Norway,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,7.2,0,15.9
90,Norway,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,0.57,0,1.25
90,Norway,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1300,NA,NA
91,Portugal,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,94.8,NA,NA
91,Portugal,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,40400,38100,42400
91,Portugal,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,202.2,190.7,212.2
91,Portugal,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.13,2.01,2.24
91,Portugal,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,19000,NA,NA
396,San Marino,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,160.3,NA,NA
396,San Marino,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,118,100,138
396,San Marino,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,189.6,159.7,221.5
396,San Marino,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.18,1,1.38
396,San Marino,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,100,NA,NA
92,Spain,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,114.1,NA,NA
92,Spain,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,162000,157000,166000
92,Spain,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,186.7,181.3,191.5
92,Spain,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.64,1.59,1.68
92,Spain,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,98900,NA,NA
60357,Andalucia,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,75.2,NA,NA
60357,Andalucia,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,24000,21800,29400
60357,Andalucia,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,153,139,187.7
60357,Andalucia,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.03,1.85,2.5
60357,Andalucia,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,11800,NA,NA
60358,Aragon,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,168.6,NA,NA
60358,Aragon,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,6050,5270,6850
60358,Aragon,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,250.3,218.3,283.5
60358,Aragon,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.48,1.29,1.68
60358,Aragon,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4070,NA,NA
60365,Asturias,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,115.2,NA,NA
60365,Asturias,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3430,2810,3940
60365,Asturias,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,182.9,150.1,210.3
60365,Asturias,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.59,1.3,1.83
60365,Asturias,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,2160,NA,NA
60363,Balearic Islands,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,50.2,NA,NA
60363,Balearic Islands,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,2980,2400,3640
60363,Balearic Islands,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,139.9,112.8,170.7
60363,Balearic Islands,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.79,2.25,3.4
60363,Balearic Islands,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1070,NA,NA
60374,Basque Country,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,121.2,NA,NA
60374,Basque Country,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,7410,6370,8200
60374,Basque Country,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,179.8,154.5,199.1
60374,Basque Country,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.48,1.28,1.64
60374,Basque Country,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4990,NA,NA
60364,Canary Islands,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,28.7,NA,NA
60364,Canary Islands,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3700,2960,4840
60364,Canary Islands,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,93.1,74.3,121.8
60364,Canary Islands,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,3.24,2.59,4.24
60364,Canary Islands,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1140,NA,NA
60359,Cantabria,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,59,NA,NA
60359,Cantabria,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1430,1200,1620
60359,Cantabria,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,132.4,111.3,150.9
60359,Cantabria,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.24,1.89,2.56
60359,Cantabria,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,635,NA,NA
60367,Castilla-Leon,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,147.3,NA,NA
60367,Castilla-Leon,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,9980,9110,11000
60367,Castilla-Leon,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,228.8,208.8,251.8
60367,Castilla-Leon,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.55,1.42,1.71
60367,Castilla-Leon,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,6420,NA,NA
60360,Castilla-La Mancha,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,176.9,NA,NA
60360,Castilla-La Mancha,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,8710,8040,9450
60360,Castilla-La Mancha,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,234,215.9,253.8
60360,Castilla-La Mancha,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.32,1.22,1.43
60360,Castilla-La Mancha,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,6580,NA,NA
60368,Catalonia,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,174.1,NA,NA
60368,Catalonia,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,35600,33200,40600
60368,Catalonia,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,252.6,235.9,288.8
60368,Catalonia,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.45,1.35,1.66
60368,Catalonia,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,24500,NA,NA
60369,Ceuta,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,84.4,NA,NA
60369,Ceuta,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,255,227,282
60369,Ceuta,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,164.3,146.1,181.5
60369,Ceuta,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.95,1.73,2.15
60369,Ceuta,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,131,NA,NA
60361,Madrid,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,148.8,NA,NA
60361,Madrid,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,27000,24500,29400
60361,Madrid,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,217.8,197,236.6
60361,Madrid,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.46,1.32,1.59
60361,Madrid,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,18500,NA,NA
60362,Extremadura,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,103.4,NA,NA
60362,Extremadura,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3500,3070,4490
60362,Extremadura,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,179.9,157.8,230.5
60362,Extremadura,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.74,1.53,2.23
60362,Extremadura,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,2010,NA,NA
60372,Galicia,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,56.4,NA,NA
60372,Galicia,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,5790,5060,6440
60372,Galicia,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,118.2,103.3,131.5
60372,Galicia,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.1,1.83,2.33
60372,Galicia,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,2760,NA,NA
60376,La Rioja,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,144,NA,NA
60376,La Rioja,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,1220,1050,1460
60376,La Rioja,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,208.9,178.4,249.7
60376,La Rioja,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.45,1.24,1.73
60376,La Rioja,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,844,NA,NA
60373,Melilla,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,76.4,NA,NA
60373,Melilla,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,304,248,386
60373,Melilla,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,192.1,156.5,243.6
60373,Melilla,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,2.51,2.05,3.19
60373,Melilla,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,121,NA,NA
60366,Murcia,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,66.8,NA,NA
60366,Murcia,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,3550,3000,3970
60366,Murcia,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,129.7,109.5,145.2
60366,Murcia,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.94,1.64,2.18
60366,Murcia,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1830,NA,NA
60370,Navarre,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,108,NA,NA
60370,Navarre,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,2250,1980,2440
60370,Navarre,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,188.3,165.7,204
60370,Navarre,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.74,1.53,1.89
60370,Navarre,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,1290,NA,NA
60371,Valencian Community,92,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,87.9,NA,NA
60371,Valencian Community,92,4,73,Western Europe,64,High-income,excess_deaths,1,Number,14800,13300,16000
60371,Valencian Community,92,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,160.2,144.6,173.5
60371,Valencian Community,92,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.82,1.64,1.97
60371,Valencian Community,92,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,8120,NA,NA
93,Sweden,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,77.2,NA,NA
93,Sweden,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,18100,16900,19500
93,Sweden,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,91.2,85.2,98.1
93,Sweden,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.18,1.1,1.27
93,Sweden,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,15300,NA,NA
94,Switzerland,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,72,NA,NA
94,Switzerland,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,15500,14000,17000
94,Switzerland,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,93.1,83.9,101.8
94,Switzerland,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.29,1.16,1.42
94,Switzerland,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,12000,NA,NA
95,UK,73,3,73,Western Europe,64,High-income,covid_death_rate,3,Rate,130.1,NA,NA
95,UK,73,3,73,Western Europe,64,High-income,excess_deaths,1,Number,169000,163000,174000
95,UK,73,3,73,Western Europe,64,High-income,excess_death_rate,3,Rate,126.8,122.3,130.9
95,UK,73,3,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,0.97,0.94,1.01
95,UK,73,3,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,173000,NA,NA
4749,England,95,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,131.1,NA,NA
4749,England,95,4,73,Western Europe,64,High-income,excess_deaths,1,Number,142000,137000,145000
4749,England,95,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,125.8,122.1,128.7
4749,England,95,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,0.96,0.93,0.98
4749,England,95,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,147000,NA,NA
433,Northern Ireland,95,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,107.3,NA,NA
433,Northern Ireland,95,4,73,Western Europe,64,High-income,excess_deaths,1,Number,4930,3800,6170
433,Northern Ireland,95,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,131.8,101.6,165
433,Northern Ireland,95,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.23,0.95,1.54
433,Northern Ireland,95,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,4010,NA,NA
434,Scotland,95,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,117.3,NA,NA
434,Scotland,95,4,73,Western Europe,64,High-income,excess_deaths,1,Number,13900,12300,15400
434,Scotland,95,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,130.6,115.7,145.1
434,Scotland,95,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,1.11,0.99,1.24
434,Scotland,95,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,12500,NA,NA
4636,Wales,95,4,73,Western Europe,64,High-income,covid_death_rate,3,Rate,149.5,NA,NA
4636,Wales,95,4,73,Western Europe,64,High-income,excess_deaths,1,Number,8320,7480,9050
4636,Wales,95,4,73,Western Europe,64,High-income,excess_death_rate,3,Rate,135.5,121.9,147.5
4636,Wales,95,4,73,Western Europe,64,High-income,ratio_excess_over_covid,NA,NA,0.91,0.82,0.99
4636,Wales,95,4,73,Western Europe,64,High-income,reported_covid_deaths,1,Number,9180,NA,NA
103,Latin America and Caribbean,1,1,NA,,103,Latin America and Caribbean,covid_death_rate,3,Rate,134.7,NA,NA
103,Latin America and Caribbean,1,1,NA,,103,Latin America and Caribbean,excess_deaths,1,Number,2860000,2680000,3070000
103,Latin America and Caribbean,1,1,NA,,103,Latin America and Caribbean,excess_death_rate,3,Rate,254,237.6,272.2
103,Latin America and Caribbean,1,1,NA,,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.89,1.76,2.02
103,Latin America and Caribbean,1,1,NA,,103,Latin America and Caribbean,reported_covid_deaths,1,Number,1520000,NA,NA
120,Andean Latin America,103,2,120,Andean Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,211.2,NA,NA
120,Andean Latin America,103,2,120,Andean Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,622000,580000,669000
120,Andean Latin America,103,2,120,Andean Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,511.9,477.8,550.5
120,Andean Latin America,103,2,120,Andean Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.42,2.26,2.61
120,Andean Latin America,103,2,120,Andean Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,257000,NA,NA
121,Bolivia,120,3,120,Andean Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,89.8,NA,NA
121,Bolivia,120,3,120,Andean Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,161000,130000,193000
121,Bolivia,120,3,120,Andean Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,734.9,594.1,879.2
121,Bolivia,120,3,120,Andean Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,8.18,6.61,9.79
121,Bolivia,120,3,120,Andean Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,19700,NA,NA
122,Ecuador,120,3,120,Andean Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,101.5,NA,NA
122,Ecuador,120,3,120,Andean Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,112000,106000,117000
122,Ecuador,120,3,120,Andean Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,333.4,315.1,348
122,Ecuador,120,3,120,Andean Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.28,3.1,3.43
122,Ecuador,120,3,120,Andean Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,34100,NA,NA
123,Peru,120,3,120,Andean Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,307.2,NA,NA
123,Peru,120,3,120,Andean Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,349000,328000,367000
123,Peru,120,3,120,Andean Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,528.6,497.5,556.4
123,Peru,120,3,120,Andean Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.72,1.62,1.81
123,Peru,120,3,120,Andean Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,203000,NA,NA
104,Caribbean,103,2,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,31.5,NA,NA
104,Caribbean,103,2,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,103000,68100,140000
104,Caribbean,103,2,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,120.7,80.1,164.3
104,Caribbean,103,2,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.83,2.54,5.22
104,Caribbean,103,2,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,26800,NA,NA
105,Antigua and Barbuda,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,71.8,NA,NA
105,Antigua and Barbuda,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,43,-89,249
105,Antigua and Barbuda,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,26.1,-53.9,150.2
105,Antigua and Barbuda,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,0.36,-0.75,2.09
105,Antigua and Barbuda,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,119,NA,NA
106,The Bahamas,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,100.3,NA,NA
106,The Bahamas,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,1060,547,1440
106,The Bahamas,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,147.6,76.4,200.9
106,The Bahamas,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.47,0.76,2
106,The Bahamas,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,717,NA,NA
107,Barbados,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,47.3,NA,NA
107,Barbados,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,553,319,789
107,Barbados,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,100.7,58.1,143.6
107,Barbados,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.13,1.23,3.03
107,Barbados,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,260,NA,NA
108,Belize,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,77.6,NA,NA
108,Belize,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,982,540,1330
108,Belize,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,126.5,69.6,172
108,Belize,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.63,0.9,2.22
108,Belize,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,602,NA,NA
305,Bermuda,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,94.1,NA,NA
305,Bermuda,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,145,84,213
305,Bermuda,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,123.9,72.1,182.3
305,Bermuda,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.32,0.77,1.94
305,Bermuda,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,110,NA,NA
109,Cuba,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,39.6,NA,NA
109,Cuba,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,26600,15000,46800
109,Cuba,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,126.8,71.5,223
109,Cuba,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.2,1.8,5.63
109,Cuba,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,8320,NA,NA
110,Dominica,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,38.2,NA,NA
110,Dominica,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,149,83,224
110,Dominica,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,120.6,67.3,182.3
110,Dominica,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.16,1.76,4.78
110,Dominica,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,47,NA,NA
111,Dominican Republic,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,20.6,NA,NA
111,Dominican Republic,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,20800,10400,29100
111,Dominican Republic,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,100.7,50.3,141
111,Dominican Republic,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,4.89,2.45,6.85
111,Dominican Republic,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,4250,NA,NA
112,Grenada,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,106.3,NA,NA
112,Grenada,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,255,132,392
112,Grenada,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,135.7,70.2,208.3
112,Grenada,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.28,0.66,1.96
112,Grenada,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,200,NA,NA
113,Guyana,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,76.7,NA,NA
113,Guyana,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,2690,1390,3930
113,Guyana,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,196,101.3,286.7
113,Guyana,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.55,1.32,3.74
113,Guyana,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,1050,NA,NA
114,Haiti,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,3.3,NA,NA
114,Haiti,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,27900,14100,42200
114,Haiti,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,118.3,59.7,178.9
114,Haiti,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,36.38,18.36,55.04
114,Haiti,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,766,NA,NA
115,Jamaica,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,47.5,NA,NA
115,Jamaica,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,6460,3680,8720
115,Jamaica,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,124.1,70.6,167.5
115,Jamaica,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.61,1.49,3.53
115,Jamaica,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,2470,NA,NA
385,Puerto Rico,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,54,NA,NA
385,Puerto Rico,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,6000,5040,6950
385,Puerto Rico,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,98,82.3,113.5
385,Puerto Rico,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.82,1.53,2.1
385,Puerto Rico,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3300,NA,NA
393,Saint Kitts and Nevis,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,26.2,NA,NA
393,Saint Kitts and Nevis,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,30,-50,74
393,Saint Kitts and Nevis,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,28.6,-46.9,69.1
393,Saint Kitts and Nevis,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.09,-1.79,2.63
393,Saint Kitts and Nevis,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,28,NA,NA
116,Saint Lucia,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,89.8,NA,NA
116,Saint Lucia,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,501,286,710
116,Saint Lucia,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,152.3,87.1,216
116,Saint Lucia,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.7,0.97,2.41
116,Saint Lucia,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,295,NA,NA
117,Saint Vincent and the Grenadines,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,38.2,NA,NA
117,Saint Vincent and the Grenadines,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,234,121,361
117,Saint Vincent and the Grenadines,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,110.6,57.3,170.5
117,Saint Vincent and the Grenadines,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.89,1.5,4.46
117,Saint Vincent and the Grenadines,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,81,NA,NA
118,Suriname,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,109,NA,NA
118,Suriname,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,2590,1370,3790
118,Suriname,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,237.2,125.7,346.9
118,Suriname,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.18,1.15,3.18
118,Suriname,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,1190,NA,NA
119,Trinidad and Tobago,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,111.1,NA,NA
119,Trinidad and Tobago,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,5130,2640,7830
119,Trinidad and Tobago,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,198.8,102.2,303.5
119,Trinidad and Tobago,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.79,0.92,2.73
119,Trinidad and Tobago,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,2870,NA,NA
422,Virgin Islands,104,3,104,Caribbean,103,Latin America and Caribbean,covid_death_rate,3,Rate,47.4,NA,NA
422,Virgin Islands,104,3,104,Caribbean,103,Latin America and Caribbean,excess_deaths,1,Number,526,301,837
422,Virgin Islands,104,3,104,Caribbean,103,Latin America and Caribbean,excess_death_rate,3,Rate,280.3,160.1,445.5
422,Virgin Islands,104,3,104,Caribbean,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,5.91,3.38,9.4
422,Virgin Islands,104,3,104,Caribbean,103,Latin America and Caribbean,reported_covid_deaths,1,Number,89,NA,NA
124,Central Latin America,103,2,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,124.1,NA,NA
124,Central Latin America,103,2,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,1320000,1240000,1430000
124,Central Latin America,103,2,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,274.4,256.6,296.4
124,Central Latin America,103,2,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.21,2.07,2.39
124,Central Latin America,103,2,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,599000,NA,NA
125,Colombia,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,145.9,NA,NA
125,Colombia,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,179000,171000,187000
125,Colombia,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,201.2,191.5,209.4
125,Colombia,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.38,1.31,1.44
125,Colombia,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,130000,NA,NA
126,Costa Rica,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,82.8,NA,NA
126,Costa Rica,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,6220,5450,7310
126,Costa Rica,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,70,61.4,82.4
126,Costa Rica,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,0.85,0.74,0.99
126,Costa Rica,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7350,NA,NA
127,El Salvador,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,32.2,NA,NA
127,El Salvador,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,26900,21000,32800
127,El Salvador,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,226.8,177.1,276.4
127,El Salvador,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,7.04,5.49,8.57
127,El Salvador,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3820,NA,NA
128,Guatemala,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,56.4,NA,NA
128,Guatemala,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,51100,43200,59200
128,Guatemala,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,175.7,148.6,203.2
128,Guatemala,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.11,2.63,3.6
128,Guatemala,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,16400,NA,NA
129,Honduras,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,56,NA,NA
129,Honduras,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,55400,46900,67100
129,Honduras,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,297.1,251.7,360
129,Honduras,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,5.31,4.5,6.43
129,Honduras,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,10400,NA,NA
130,Mexico,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,170.2,NA,NA
130,Mexico,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,798000,741000,867000
130,Mexico,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,325.1,301.6,353.3
130,Mexico,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.91,1.77,2.08
130,Mexico,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,418000,NA,NA
4643,Aguascalientes,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,161.5,NA,NA
4643,Aguascalientes,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,7070,6420,7650
4643,Aguascalientes,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,255.8,232.2,276.6
4643,Aguascalientes,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.58,1.44,1.71
4643,Aguascalientes,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,4470,NA,NA
4644,Baja California,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,193.1,NA,NA
4644,Baja California,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,24700,21600,27400
4644,Baja California,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,337,295.4,374
4644,Baja California,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.75,1.53,1.94
4644,Baja California,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,14100,NA,NA
4645,Baja California Sur,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,198.3,NA,NA
4645,Baja California Sur,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,3740,3330,4220
4645,Baja California Sur,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,242.2,216.3,273.4
4645,Baja California Sur,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.22,1.09,1.38
4645,Baja California Sur,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3060,NA,NA
4646,Campeche,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,181.9,NA,NA
4646,Campeche,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,4940,4430,5540
4646,Campeche,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,276,247.6,309.4
4646,Campeche,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.52,1.36,1.7
4646,Campeche,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3250,NA,NA
4649,Chiapas,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,43.1,NA,NA
4649,Chiapas,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,23100,20500,25800
4649,Chiapas,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,210.9,187,235
4649,Chiapas,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,4.9,4.34,5.46
4649,Chiapas,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,4730,NA,NA
4650,Chihuahua,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,162.8,NA,NA
4650,Chihuahua,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,26600,23300,29500
4650,Chihuahua,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,367.7,321.9,407.8
4650,Chihuahua,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.26,1.98,2.51
4650,Chihuahua,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,11800,NA,NA
4647,Coahuila,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,182.7,NA,NA
4647,Coahuila,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,21600,19400,23600
4647,Coahuila,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,352.7,317.2,386.3
4647,Coahuila,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.93,1.74,2.11
4647,Coahuila,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,11200,NA,NA
4648,Colima,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,175.4,NA,NA
4648,Colima,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,2540,2220,2870
4648,Colima,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,179.3,157.1,202.4
4648,Colima,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.02,0.9,1.15
4648,Colima,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,2480,NA,NA
4652,Durango,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,139.6,NA,NA
4652,Durango,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,8610,7490,9630
4652,Durango,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,242.3,210.7,271.1
4652,Durango,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.74,1.51,1.94
4652,Durango,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,4960,NA,NA
4653,Guanajuato,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,138.7,NA,NA
4653,Guanajuato,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,32900,30900,35200
4653,Guanajuato,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,274.6,258.1,294.1
4653,Guanajuato,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.98,1.86,2.12
4653,Guanajuato,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,16600,NA,NA
4654,Guerrero,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,139.5,NA,NA
4654,Guerrero,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,15900,14500,17500
4654,Guerrero,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,230.4,210.7,254.7
4654,Guerrero,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.65,1.51,1.83
4654,Guerrero,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,9610,NA,NA
4655,Hidalgo,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,164.4,NA,NA
4655,Hidalgo,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,16200,14900,17300
4655,Hidalgo,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,265.5,244.9,284.1
4655,Hidalgo,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.62,1.49,1.73
4655,Hidalgo,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,10000,NA,NA
4656,Jalisco,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,142.9,NA,NA
4656,Jalisco,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,34200,31000,38000
4656,Jalisco,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,210.5,190.6,233.8
4656,Jalisco,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.47,1.33,1.64
4656,Jalisco,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,23200,NA,NA
4657,México,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,220.6,NA,NA
4657,México,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,145000,134000,156000
4657,México,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,433.6,398.9,466.3
4657,México,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.97,1.81,2.11
4657,México,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,73900,NA,NA
4651,Mexico City,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,339.9,NA,NA
4651,Mexico City,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,104000,95400,112000
4651,Mexico City,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,576.9,528.6,620.9
4651,Mexico City,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.7,1.56,1.83
4651,Mexico City,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,61300,NA,NA
4658,Michoacán de Ocampo,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,115.6,NA,NA
4658,Michoacán de Ocampo,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,20200,18600,22000
4658,Michoacán de Ocampo,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,219,202.4,238.4
4658,Michoacán de Ocampo,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.9,1.75,2.06
4658,Michoacán de Ocampo,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,10600,NA,NA
4659,Morelos,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,184.9,NA,NA
4659,Morelos,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,11200,9930,12300
4659,Morelos,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,291.6,259.5,321.9
4659,Morelos,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.58,1.4,1.74
4659,Morelos,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7070,NA,NA
4660,Nayarit,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,131.4,NA,NA
4660,Nayarit,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,4170,3780,4610
4660,Nayarit,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,173.8,157.4,192
4660,Nayarit,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.32,1.2,1.46
4660,Nayarit,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3150,NA,NA
4661,Nuevo León,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,177.1,NA,NA
4661,Nuevo León,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,32800,30700,35500
4661,Nuevo León,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,292.3,273.6,315.8
4661,Nuevo León,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.65,1.55,1.78
4661,Nuevo León,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,19900,NA,NA
4662,Oaxaca,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,102.4,NA,NA
4662,Oaxaca,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,17600,16200,19700
4662,Oaxaca,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,217.8,199.6,243.7
4662,Oaxaca,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.13,1.95,2.38
4662,Oaxaca,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,8290,NA,NA
4663,Puebla,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,160.9,NA,NA
4663,Puebla,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,51100,48200,55200
4663,Puebla,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,399.7,376.7,431.5
4663,Puebla,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.48,2.34,2.68
4663,Puebla,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,20600,NA,NA
4664,Querétaro,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,151.7,NA,NA
4664,Querétaro,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,10300,9380,11300
4664,Querétaro,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,224,203.2,244
4664,Querétaro,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.48,1.34,1.61
4664,Querétaro,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7000,NA,NA
4665,Quintana Roo,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,143.5,NA,NA
4665,Quintana Roo,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,8840,7720,10300
4665,Quintana Roo,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,241.7,211.3,281.1
4665,Quintana Roo,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.68,1.47,1.96
4665,Quintana Roo,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,5240,NA,NA
4666,San Luis Potosí,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,150,NA,NA
4666,San Luis Potosí,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,16900,15700,18000
4666,San Luis Potosí,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,308.9,287.8,330.1
4666,San Luis Potosí,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.06,1.92,2.2
4666,San Luis Potosí,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,8190,NA,NA
4667,Sinaloa,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,173.9,NA,NA
4667,Sinaloa,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,17900,15900,19900
4667,Sinaloa,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,303.9,270.2,337.7
4667,Sinaloa,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.75,1.55,1.94
4667,Sinaloa,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,10200,NA,NA
4668,Sonora,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,198.3,NA,NA
4668,Sonora,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,19300,17200,21500
4668,Sonora,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,340.6,303.3,377.9
4668,Sonora,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.72,1.53,1.91
4668,Sonora,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,11300,NA,NA
4669,Tabasco,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,158,NA,NA
4669,Tabasco,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,16000,14400,18100
4669,Tabasco,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,344.7,309.8,390.8
4669,Tabasco,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.18,1.96,2.47
4669,Tabasco,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7330,NA,NA
4670,Tamaulipas,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,136.3,NA,NA
4670,Tamaulipas,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,21800,19700,23700
4670,Tamaulipas,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,320.1,288.7,347.2
4670,Tamaulipas,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.35,2.12,2.55
4670,Tamaulipas,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,9280,NA,NA
4671,Tlaxcala,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,140.1,NA,NA
4671,Tlaxcala,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,13400,12400,14700
4671,Tlaxcala,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,517.2,476.3,567
4671,Tlaxcala,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.69,3.4,4.05
4671,Tlaxcala,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3640,NA,NA
4672,Veracruz de Ignacio de la Llave,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,133.2,NA,NA
4672,Veracruz de Ignacio de la Llave,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,44300,41400,47800
4672,Veracruz de Ignacio de la Llave,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,284.4,266,306.5
4672,Veracruz de Ignacio de la Llave,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.14,2,2.3
4672,Veracruz de Ignacio de la Llave,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,20800,NA,NA
4673,Yucatán,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,135.1,NA,NA
4673,Yucatán,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,11300,10200,12500
4673,Yucatán,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,252.1,227.6,279.1
4673,Yucatán,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.87,1.68,2.07
4673,Yucatán,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,6070,NA,NA
4674,Zacatecas,130,4,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,146.8,NA,NA
4674,Zacatecas,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,9780,9040,10400
4674,Zacatecas,130,4,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,311.4,288.1,332.8
4674,Zacatecas,130,4,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.12,1.96,2.27
4674,Zacatecas,130,4,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,4610,NA,NA
131,Nicaragua,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,1.8,NA,NA
131,Nicaragua,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,33400,31300,36100
131,Nicaragua,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,274.4,256.6,296.4
131,Nicaragua,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,149.99,140.28,162.04
131,Nicaragua,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,223,NA,NA
132,Panama,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,96.2,NA,NA
132,Panama,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,10200,8840,11300
132,Panama,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,131.5,114.4,145.8
132,Panama,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.37,1.19,1.52
132,Panama,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7430,NA,NA
133,Venezuela,124,3,124,Central Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,9.1,NA,NA
133,Venezuela,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,164000,153000,177000
133,Venezuela,124,3,124,Central Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,274.4,256.6,296.4
133,Venezuela,124,3,124,Central Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,30.17,28.21,32.59
133,Venezuela,124,3,124,Central Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,5430,NA,NA
134,Tropical Latin America,103,2,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,145.1,NA,NA
134,Tropical Latin America,103,2,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,815000,751000,870000
134,Tropical Latin America,103,2,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,186,171.5,198.5
134,Tropical Latin America,103,2,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.28,1.18,1.37
134,Tropical Latin America,103,2,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,636000,NA,NA
135,Brazil,134,3,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,146,NA,NA
135,Brazil,134,3,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,792000,730000,847000
135,Brazil,134,3,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,186.9,172.2,199.8
135,Brazil,134,3,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.28,1.18,1.37
135,Brazil,134,3,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,619000,NA,NA
4750,Acre,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,101.3,NA,NA
4750,Acre,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,2470,2040,2860
4750,Acre,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,135,111.4,156.3
4750,Acre,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.33,1.1,1.54
4750,Acre,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,1850,NA,NA
4751,Alagoas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,85.8,NA,NA
4751,Alagoas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,7270,6050,8390
4751,Alagoas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,97.8,81.3,112.8
4751,Alagoas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.14,0.95,1.31
4751,Alagoas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,6380,NA,NA
4753,Amapá,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,125.8,NA,NA
4753,Amapá,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,3370,2860,3820
4753,Amapá,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,209.5,178.1,237.7
4753,Amapá,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.67,1.42,1.89
4753,Amapá,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,2020,NA,NA
4752,Amazonas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,167.2,NA,NA
4752,Amazonas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,20400,18500,23000
4752,Amazonas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,246.1,223.9,278.1
4752,Amazonas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.47,1.34,1.66
4752,Amazonas,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,13800,NA,NA
4754,Bahia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,87.4,NA,NA
4754,Bahia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,45700,41900,48500
4754,Bahia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,145.1,132.9,154.2
4754,Bahia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.66,1.52,1.77
4754,Bahia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,27500,NA,NA
4755,Ceará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,124.3,NA,NA
4755,Ceará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,50900,45900,57500
4755,Ceará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,255.1,230.2,288
4755,Ceará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,2.05,1.85,2.32
4755,Ceará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,24800,NA,NA
4756,Distrito Federal,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,183.4,NA,NA
4756,Distrito Federal,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,10900,9700,12000
4756,Distrito Federal,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,180.8,160.2,198.5
4756,Distrito Federal,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,0.99,0.87,1.08
4756,Distrito Federal,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,11100,NA,NA
4757,Espírito Santo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,171.6,NA,NA
4757,Espírito Santo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,17400,15100,20000
4757,Espírito Santo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,224.3,194.1,258.1
4757,Espírito Santo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.31,1.13,1.5
4757,Espírito Santo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,13300,NA,NA
4758,Goiás,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,186.2,NA,NA
4758,Goiás,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,29700,27800,31300
4758,Goiás,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,223.9,209.5,236.4
4758,Goiás,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.2,1.13,1.27
4758,Goiás,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,24700,NA,NA
4759,Maranhão,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,64.3,NA,NA
4759,Maranhão,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,32900,29600,45800
4759,Maranhão,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,204.2,183.3,284.1
4759,Maranhão,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,3.17,2.85,4.41
4759,Maranhão,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,10400,NA,NA
4762,Mato Grosso,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,200.2,NA,NA
4762,Mato Grosso,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,16100,14800,17100
4762,Mato Grosso,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,233.7,214.7,248
4762,Mato Grosso,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.17,1.07,1.24
4762,Mato Grosso,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,13800,NA,NA
4761,Mato Grosso do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,176.1,NA,NA
4761,Mato Grosso do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,9800,8720,10700
4761,Mato Grosso do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,177.4,157.9,194
4761,Mato Grosso do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.01,0.9,1.1
4761,Mato Grosso do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,9730,NA,NA
4760,Minas Gerais,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,133.7,NA,NA
4760,Minas Gerais,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,74200,69000,78800
4760,Minas Gerais,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,175.1,162.9,185.8
4760,Minas Gerais,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.31,1.22,1.39
4760,Minas Gerais,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,56700,NA,NA
4763,Pará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,96.7,NA,NA
4763,Pará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,25500,23000,27400
4763,Pará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,144,130.3,155
4763,Pará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.49,1.35,1.6
4763,Pará,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,17100,NA,NA
4764,Paraíba,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,111.8,NA,NA
4764,Paraíba,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,9230,8420,10200
4764,Paraíba,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,107.6,98.1,118.9
4764,Paraíba,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,0.96,0.88,1.06
4764,Paraíba,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,9600,NA,NA
4765,Paraná,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,184.6,NA,NA
4765,Paraná,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,43000,40200,45600
4765,Paraná,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,194.3,181.3,205.7
4765,Paraná,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.05,0.98,1.11
4765,Paraná,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,40900,NA,NA
4766,Pernambuco,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,103.4,NA,NA
4766,Pernambuco,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,32200,29600,34400
4766,Pernambuco,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,163,149.7,174.1
4766,Pernambuco,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.58,1.45,1.68
4766,Pernambuco,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,20400,NA,NA
4767,Piauí,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,103.3,NA,NA
4767,Piauí,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,10100,8910,11100
4767,Piauí,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,143.7,126.6,158.2
4767,Piauí,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.39,1.23,1.53
4767,Piauí,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7280,NA,NA
4768,Rio de Janeiro,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,197.9,NA,NA
4768,Rio de Janeiro,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,80200,74300,85300
4768,Rio de Janeiro,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,228.4,211.8,242.9
4768,Rio de Janeiro,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.15,1.07,1.23
4768,Rio de Janeiro,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,69500,NA,NA
4769,Rio Grande do Norte,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,103,NA,NA
4769,Rio Grande do Norte,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,8920,7870,9810
4769,Rio Grande do Norte,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,121.4,107.1,133.5
4769,Rio Grande do Norte,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.18,1.04,1.3
4769,Rio Grande do Norte,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,7570,NA,NA
4772,Rio Grande do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,170.3,NA,NA
4772,Rio Grande do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,36400,33900,39200
4772,Rio Grande do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,170.2,158.4,183.2
4772,Rio Grande do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1,0.93,1.08
4772,Rio Grande do Sul,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,36400,NA,NA
4770,Rondônia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,190.6,NA,NA
4770,Rondônia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,9510,8650,10200
4770,Rondônia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,269,244.7,289.4
4770,Rondônia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.41,1.28,1.52
4770,Rondônia,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,6730,NA,NA
4771,Roraima,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,180.7,NA,NA
4771,Roraima,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,2110,1910,2370
4771,Roraima,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,183.9,166.2,206
4771,Roraima,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.02,0.92,1.14
4771,Roraima,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,2080,NA,NA
4773,Santa Catarina,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,146.8,NA,NA
4773,Santa Catarina,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,20200,18600,21600
4773,Santa Catarina,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,147,135.4,157.3
4773,Santa Catarina,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1,0.92,1.07
4773,Santa Catarina,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,20200,NA,NA
4775,São Paulo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,172.8,NA,NA
4775,São Paulo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,182000,169000,193000
4775,São Paulo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,202.9,188,215.3
4775,São Paulo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.17,1.09,1.25
4775,São Paulo,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,155000,NA,NA
4774,Sergipe,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,126.3,NA,NA
4774,Sergipe,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,5900,5020,6690
4774,Sergipe,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,123.1,104.7,139.6
4774,Sergipe,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,0.97,0.83,1.11
4774,Sergipe,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,6060,NA,NA
4776,Tocantins,135,4,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,121.6,NA,NA
4776,Tocantins,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,5480,4880,6040
4776,Tocantins,135,4,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,169.2,150.7,186.6
4776,Tocantins,135,4,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.39,1.24,1.54
4776,Tocantins,135,4,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,3940,NA,NA
136,Paraguay,134,3,134,Tropical Latin America,103,Latin America and Caribbean,covid_death_rate,3,Rate,117.7,NA,NA
136,Paraguay,134,3,134,Tropical Latin America,103,Latin America and Caribbean,excess_deaths,1,Number,22500,21600,23300
136,Paraguay,134,3,134,Tropical Latin America,103,Latin America and Caribbean,excess_death_rate,3,Rate,159.2,153.1,165.3
136,Paraguay,134,3,134,Tropical Latin America,103,Latin America and Caribbean,ratio_excess_over_covid,NA,NA,1.35,1.3,1.4
136,Paraguay,134,3,134,Tropical Latin America,103,Latin America and Caribbean,reported_covid_deaths,1,Number,16600,NA,NA
137,North Africa and Middle East,1,1,NA,,137,North Africa and Middle East,covid_death_rate,3,Rate,31.2,NA,NA
137,North Africa and Middle East,1,1,NA,,137,North Africa and Middle East,excess_deaths,1,Number,1730000,1570000,1990000
137,North Africa and Middle East,1,1,NA,,137,North Africa and Middle East,excess_death_rate,3,Rate,144.7,131,165.9
137,North Africa and Middle East,1,1,NA,,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,4.64,4.2,5.32
137,North Africa and Middle East,1,1,NA,,137,North Africa and Middle East,reported_covid_deaths,1,Number,374000,NA,NA
138,North Africa and Middle East,137,2,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,31.2,NA,NA
138,North Africa and Middle East,137,2,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,1730000,1570000,1990000
138,North Africa and Middle East,137,2,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,144.7,131,165.9
138,North Africa and Middle East,137,2,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,4.64,4.2,5.32
138,North Africa and Middle East,137,2,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,374000,NA,NA
160,Afghanistan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,8.1,NA,NA
160,Afghanistan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,192000,142000,242000
160,Afghanistan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,211.9,157.4,267.1
160,Afghanistan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,26.06,19.36,32.86
160,Afghanistan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,7360,NA,NA
139,Algeria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,7.5,NA,NA
139,Algeria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,54400,41600,65500
139,Algeria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,65.1,49.8,78.4
139,Algeria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,8.67,6.63,10.43
139,Algeria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,6280,NA,NA
140,Bahrain,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,48,NA,NA
140,Bahrain,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,3920,3060,4780
140,Bahrain,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,134.7,105.4,164.4
140,Bahrain,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.81,2.2,3.43
140,Bahrain,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,1390,NA,NA
141,Egypt,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,10.9,NA,NA
141,Egypt,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,265000,248000,278000
141,Egypt,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,133.3,124.9,140
141,Egypt,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,12.19,11.42,12.8
141,Egypt,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,21800,NA,NA
142,Iran,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,77.1,NA,NA
142,Iran,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,274000,231000,335000
142,Iran,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,160.5,135.2,196.4
142,Iran,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.08,1.75,2.55
142,Iran,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,132000,NA,NA
143,Iraq,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,36.9,NA,NA
143,Iraq,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,183000,142000,237000
143,Iraq,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,280.1,216.7,362.5
143,Iraq,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,7.59,5.87,9.82
143,Iraq,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,24200,NA,NA
144,Jordan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,53.5,NA,NA
144,Jordan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,27000,21300,33200
144,Jordan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,114.4,90.2,140.5
144,Jordan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.14,1.69,2.63
144,Jordan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,12700,NA,NA
145,Kuwait,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,28.5,NA,NA
145,Kuwait,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,3560,2670,4300
145,Kuwait,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,41.1,30.9,49.6
145,Kuwait,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,1.44,1.08,1.74
145,Kuwait,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,2470,NA,NA
146,Lebanon,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,105,NA,NA
146,Lebanon,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,36100,30200,44800
146,Lebanon,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,416.2,347.4,515.5
146,Lebanon,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,3.96,3.31,4.91
146,Lebanon,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,9120,NA,NA
147,Libya,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,45.4,NA,NA
147,Libya,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,36700,29200,45100
147,Libya,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,292.1,232.2,358.8
147,Libya,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,6.43,5.11,7.9
147,Libya,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,5710,NA,NA
148,Morocco,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,21.6,NA,NA
148,Morocco,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,157000,126000,203000
148,Morocco,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,228.3,182.9,294.9
148,Morocco,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,10.56,8.46,13.64
148,Morocco,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,14800,NA,NA
150,Oman,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,47.5,NA,NA
150,Oman,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,12300,11500,12900
150,Oman,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,141.5,133,148.8
150,Oman,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.98,2.8,3.13
150,Oman,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,4120,NA,NA
149,Palestine,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,48.9,NA,NA
149,Palestine,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,12600,10600,15300
149,Palestine,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,132.2,111.3,160.5
149,Palestine,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.7,2.28,3.28
149,Palestine,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,4660,NA,NA
151,Qatar,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,10.7,NA,NA
151,Qatar,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,1560,1170,1800
151,Qatar,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,27,20.3,31.3
151,Qatar,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.52,1.89,2.92
151,Qatar,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,618,NA,NA
152,Saudi Arabia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,12.5,NA,NA
152,Saudi Arabia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,32900,21100,41600
152,Saudi Arabia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,46.4,29.9,58.8
152,Saudi Arabia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,3.7,2.38,4.69
152,Saudi Arabia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,8880,NA,NA
522,Sudan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,4.3,NA,NA
522,Sudan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,83600,59900,1.00E+05
522,Sudan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,108.5,77.8,130.4
522,Sudan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,25.12,18,30.17
522,Sudan,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,3330,NA,NA
153,Syria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,6.6,NA,NA
153,Syria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,27100,17200,35800
153,Syria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,61.7,39.1,81.4
153,Syria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,9.36,5.94,12.36
153,Syria,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,2900,NA,NA
154,Tunisia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,114.4,NA,NA
154,Tunisia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,72500,59300,84100
154,Tunisia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,324.2,265.4,376.4
154,Tunisia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.83,2.32,3.29
154,Tunisia,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,25600,NA,NA
155,Turkey,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,52.9,NA,NA
155,Turkey,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,185000,160000,217000
155,Turkey,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,118.6,103.1,139.2
155,Turkey,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,2.24,1.95,2.63
155,Turkey,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,82400,NA,NA
156,United Arab Emirates,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,21.1,NA,NA
156,United Arab Emirates,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,9340,6500,11800
156,United Arab Emirates,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,91.3,63.5,115.6
156,United Arab Emirates,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,4.32,3.01,5.47
156,United Arab Emirates,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,2160,NA,NA
157,Yemen,138,3,138,North Africa and Middle East,137,North Africa and Middle East,covid_death_rate,3,Rate,3.3,NA,NA
157,Yemen,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_deaths,1,Number,65600,37800,97600
157,Yemen,138,3,138,North Africa and Middle East,137,North Africa and Middle East,excess_death_rate,3,Rate,108,62.2,160.9
157,Yemen,138,3,138,North Africa and Middle East,137,North Africa and Middle East,ratio_excess_over_covid,NA,NA,33.04,19.03,49.21
157,Yemen,138,3,138,North Africa and Middle East,137,North Africa and Middle East,reported_covid_deaths,1,Number,1980,NA,NA
158,South Asia,1,1,NA,,158,South Asia,covid_death_rate,3,Rate,16,NA,NA
158,South Asia,1,1,NA,,158,South Asia,excess_deaths,1,Number,5270000,4710000,5700000
158,South Asia,1,1,NA,,158,South Asia,excess_death_rate,3,Rate,151.7,135.5,163.9
158,South Asia,1,1,NA,,158,South Asia,ratio_excess_over_covid,NA,NA,9.46,8.45,10.22
158,South Asia,1,1,NA,,158,South Asia,reported_covid_deaths,1,Number,558000,NA,NA
159,South Asia,158,2,159,South Asia,158,South Asia,covid_death_rate,3,Rate,16,NA,NA
159,South Asia,158,2,159,South Asia,158,South Asia,excess_deaths,1,Number,5270000,4710000,5700000
159,South Asia,158,2,159,South Asia,158,South Asia,excess_death_rate,3,Rate,151.7,135.5,163.9
159,South Asia,158,2,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,9.46,8.45,10.22
159,South Asia,158,2,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,558000,NA,NA
161,Bangladesh,159,3,159,South Asia,158,South Asia,covid_death_rate,3,Rate,9.2,NA,NA
161,Bangladesh,159,3,159,South Asia,158,South Asia,excess_deaths,1,Number,413000,347000,504000
161,Bangladesh,159,3,159,South Asia,158,South Asia,excess_death_rate,3,Rate,134.7,113.2,164.3
161,Bangladesh,159,3,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,14.72,12.36,17.94
161,Bangladesh,159,3,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,28100,NA,NA
162,Bhutan,159,3,159,South Asia,158,South Asia,covid_death_rate,3,Rate,0.2,NA,NA
162,Bhutan,159,3,159,South Asia,158,South Asia,excess_deaths,1,Number,108,45,160
162,Bhutan,159,3,159,South Asia,158,South Asia,excess_death_rate,3,Rate,7.4,3.1,10.9
162,Bhutan,159,3,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,36.06,15.14,53.25
162,Bhutan,159,3,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,3,NA,NA
163,India,159,3,159,South Asia,158,South Asia,covid_death_rate,3,Rate,18.3,NA,NA
163,India,159,3,159,South Asia,158,South Asia,excess_deaths,1,Number,4070000,3710000,4360000
163,India,159,3,159,South Asia,158,South Asia,excess_death_rate,3,Rate,152.5,138.6,163.3
163,India,159,3,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,8.33,7.58,8.92
163,India,159,3,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,489000,NA,NA
4841,Andhra Pradesh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,14.1,NA,NA
4841,Andhra Pradesh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,194000,170000,211000
4841,Andhra Pradesh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,189.2,165.6,206.3
4841,Andhra Pradesh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,13.38,11.71,14.59
4841,Andhra Pradesh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,14500,NA,NA
4842,Arunachal Pradesh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,8.9,NA,NA
4842,Arunachal Pradesh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,1790,968,2400
4842,Arunachal Pradesh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,56.4,30.5,75.6
4842,Arunachal Pradesh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,6.34,3.43,8.51
4842,Arunachal Pradesh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,282,NA,NA
4843,Assam,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,9.1,NA,NA
4843,Assam,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,119000,96200,137000
4843,Assam,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,176.6,142.1,202.8
4843,Assam,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,19.38,15.6,22.26
4843,Assam,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,6160,NA,NA
4844,Bihar,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,5.2,NA,NA
4844,Bihar,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,323000,257000,388000
4844,Bihar,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,137.7,109.7,165.5
4844,Bihar,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,26.68,21.27,32.07
4844,Bihar,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,12100,NA,NA
4846,Chhattisgarh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,22.3,NA,NA
4846,Chhattisgarh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,150000,132000,167000
4846,Chhattisgarh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,246.7,215.9,274.2
4846,Chhattisgarh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,11.05,9.67,12.28
4846,Chhattisgarh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,13600,NA,NA
4849,Delhi,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,65.6,NA,NA
4849,Delhi,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,61300,41600,77100
4849,Delhi,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,160.2,108.8,201.5
4849,Delhi,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,2.44,1.66,3.07
4849,Delhi,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,25100,NA,NA
4850,Goa,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,124.6,NA,NA
4850,Goa,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,3400,1550,4960
4850,Goa,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,120.2,54.8,175.6
4850,Goa,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,0.96,0.44,1.41
4850,Goa,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,3520,NA,NA
4851,Gujarat,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,7.7,NA,NA
4851,Gujarat,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,131000,103000,149000
4851,Gujarat,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,99.2,78.2,113.3
4851,Gujarat,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,12.91,10.18,14.76
4851,Gujarat,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,10100,NA,NA
4852,Haryana,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,18.1,NA,NA
4852,Haryana,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,132000,116000,146000
4852,Haryana,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,236.4,207.3,262.2
4852,Haryana,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,13.09,11.48,14.52
4852,Haryana,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,10100,NA,NA
4853,Himachal Pradesh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,27.1,NA,NA
4853,Himachal Pradesh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,33600,26500,39200
4853,Himachal Pradesh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,235.9,186.1,275.3
4853,Himachal Pradesh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,8.71,6.87,10.17
4853,Himachal Pradesh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,3860,NA,NA
4854,Jammu & Kashmir and Ladakh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,17.7,NA,NA
4854,Jammu & Kashmir and Ladakh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,41600,29400,48300
4854,Jammu & Kashmir and Ladakh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,155.4,109.9,180.6
4854,Jammu & Kashmir and Ladakh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,8.76,6.19,10.18
4854,Jammu & Kashmir and Ladakh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,4750,NA,NA
4855,Jharkhand,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,7.1,NA,NA
4855,Jharkhand,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,82700,61300,99600
4855,Jharkhand,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,115,85.2,138.4
4855,Jharkhand,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,16.08,11.92,19.37
4855,Jharkhand,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,5140,NA,NA
4856,Karnataka,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,28.7,NA,NA
4856,Karnataka,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,284000,223000,327000
4856,Karnataka,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,212.9,166.9,245
4856,Karnataka,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,7.41,5.81,8.52
4856,Karnataka,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,38300,NA,NA
4857,Kerala,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,84.3,NA,NA
4857,Kerala,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,114000,90700,133000
4857,Kerala,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,165.1,130.7,191.4
4857,Kerala,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,1.96,1.55,2.27
4857,Kerala,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,58500,NA,NA
4859,Madhya Pradesh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,6.2,NA,NA
4859,Madhya Pradesh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,223000,188000,253000
4859,Madhya Pradesh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,132.2,111.2,149.7
4859,Madhya Pradesh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,21.2,17.83,24
4859,Madhya Pradesh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,10500,NA,NA
4860,Maharashtra,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,59.6,NA,NA
4860,Maharashtra,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,616000,484000,736000
4860,Maharashtra,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,259.5,203.7,309.8
4860,Maharashtra,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,4.36,3.42,5.2
4860,Maharashtra,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,142000,NA,NA
4861,Manipur,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,29.8,NA,NA
4861,Manipur,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,17700,13900,21300
4861,Manipur,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,263.8,207.6,317.1
4861,Manipur,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,8.85,6.96,10.64
4861,Manipur,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,2000,NA,NA
4862,Meghalaya,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,23.1,NA,NA
4862,Meghalaya,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,8910,6620,11100
4862,Meghalaya,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,138.9,103.1,173.1
4862,Meghalaya,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,6,4.46,7.48
4862,Meghalaya,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,1480,NA,NA
4863,Mizoram,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,22.9,NA,NA
4863,Mizoram,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,2950,2020,3700
4863,Mizoram,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,124.3,85.1,156.2
4863,Mizoram,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,5.43,3.71,6.82
4863,Mizoram,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,543,NA,NA
4864,Nagaland,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,22.7,NA,NA
4864,Nagaland,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,5370,3430,7380
4864,Nagaland,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,171,109.2,235.1
4864,Nagaland,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,7.55,4.82,10.38
4864,Nagaland,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,711,NA,NA
4865,Odisha,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,9.5,NA,NA
4865,Odisha,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,130000,108000,148000
4865,Odisha,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,145.4,120.5,165.5
4865,Odisha,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,15.24,12.63,17.35
4865,Odisha,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,8510,NA,NA
4867,Punjab,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,28,NA,NA
4867,Punjab,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,135000,98600,154000
4867,Punjab,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,227.1,166.1,259.1
4867,Punjab,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,8.1,5.93,9.25
4867,Punjab,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,16600,NA,NA
4868,Rajasthan,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,5.7,NA,NA
4868,Rajasthan,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,135000,97600,162000
4868,Rajasthan,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,85.9,62.1,102.8
4868,Rajasthan,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,15.07,10.88,18.03
4868,Rajasthan,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,8960,NA,NA
4869,Sikkim,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,34.5,NA,NA
4869,Sikkim,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,992,641,1260
4869,Sikkim,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,83.6,54.1,106.5
4869,Sikkim,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,2.42,1.57,3.09
4869,Sikkim,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,409,NA,NA
4870,Tamil Nadu,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,24,NA,NA
4870,Tamil Nadu,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,260000,199000,301000
4870,Tamil Nadu,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,169.8,130.3,196.7
4870,Tamil Nadu,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,7.06,5.42,8.18
4870,Tamil Nadu,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,36800,NA,NA
4871,Telangana,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,5.2,NA,NA
4871,Telangana,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,55400,43300,65400
4871,Telangana,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,71.9,56.2,84.9
4871,Telangana,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,13.75,10.74,16.24
4871,Telangana,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,4030,NA,NA
4872,Tripura,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,11,NA,NA
4872,Tripura,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,9260,6780,10500
4872,Tripura,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,123.5,90.5,140.5
4872,Tripura,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,11.21,8.21,12.75
4872,Tripura,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,826,NA,NA
4873,Uttar Pradesh,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,4.8,NA,NA
4873,Uttar Pradesh,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,517000,418000,602000
4873,Uttar Pradesh,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,108.2,87.4,125.8
4873,Uttar Pradesh,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,22.58,18.24,26.27
4873,Uttar Pradesh,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,22900,NA,NA
4874,Uttarakhand,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,32.5,NA,NA
4874,Uttarakhand,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,65000,51200,75700
4874,Uttarakhand,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,284.6,224.1,331.5
4874,Uttarakhand,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,8.77,6.9,10.21
4874,Uttarakhand,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,7420,NA,NA
4875,West Bengal,163,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,10.5,NA,NA
4875,West Bengal,163,4,159,South Asia,158,South Asia,excess_deaths,1,Number,220000,132000,254000
4875,West Bengal,163,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,116.7,70.2,134.9
4875,West Bengal,163,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,11.14,6.7,12.87
4875,West Bengal,163,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,19800,NA,NA
164,Nepal,159,3,159,South Asia,158,South Asia,covid_death_rate,3,Rate,19.1,NA,NA
164,Nepal,159,3,159,South Asia,158,South Asia,excess_deaths,1,Number,123000,107000,142000
164,Nepal,159,3,159,South Asia,158,South Asia,excess_death_rate,3,Rate,202.5,175.9,232.7
164,Nepal,159,3,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,10.61,9.22,12.2
164,Nepal,159,3,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,11600,NA,NA
165,Pakistan,159,3,159,South Asia,158,South Asia,covid_death_rate,3,Rate,6.6,NA,NA
165,Pakistan,159,3,159,South Asia,158,South Asia,excess_deaths,1,Number,664000,498000,847000
165,Pakistan,159,3,159,South Asia,158,South Asia,excess_death_rate,3,Rate,152.6,114.3,194.7
165,Pakistan,159,3,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,22.99,17.22,29.32
165,Pakistan,159,3,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,28900,NA,NA
53615,Azad Jammu & Kashmir,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,9.8,NA,NA
53615,Azad Jammu & Kashmir,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,12900,10200,16600
53615,Azad Jammu & Kashmir,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,170.3,134.3,218.2
53615,Azad Jammu & Kashmir,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,17.35,13.68,22.22
53615,Azad Jammu & Kashmir,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,746,NA,NA
53616,Balochistan,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,1.4,NA,NA
53616,Balochistan,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,18100,10500,26500
53616,Balochistan,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,67.8,39.5,99.3
53616,Balochistan,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,49.64,28.94,72.74
53616,Balochistan,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,364,NA,NA
53617,Gilgit-Baltistan,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,5.3,NA,NA
53617,Gilgit-Baltistan,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,5120,3470,6820
53617,Gilgit-Baltistan,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,146.8,99.5,195.3
53617,Gilgit-Baltistan,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,27.53,18.67,36.65
53617,Gilgit-Baltistan,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,186,NA,NA
53618,Islamabad Capital Territory,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,22.8,NA,NA
53618,Islamabad Capital Territory,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,3790,2960,4600
53618,Islamabad Capital Territory,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,89.2,69.7,108.2
53618,Islamabad Capital Territory,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,3.92,3.07,4.75
53618,Islamabad Capital Territory,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,967,NA,NA
53619,Khyber Pakhtunkhwa,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,8,NA,NA
53619,Khyber Pakhtunkhwa,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,186000,118000,262000
53619,Khyber Pakhtunkhwa,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,252.8,159.4,355.4
53619,Khyber Pakhtunkhwa,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,31.44,19.83,44.21
53619,Khyber Pakhtunkhwa,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,5930,NA,NA
53620,Punjab,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,5.9,NA,NA
53620,Punjab,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,313000,230000,403000
53620,Punjab,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,141.1,103.5,181.4
53620,Punjab,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,23.98,17.59,30.82
53620,Punjab,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,13100,NA,NA
53621,Sindh,165,4,159,South Asia,158,South Asia,covid_death_rate,3,Rate,7.8,NA,NA
53621,Sindh,165,4,159,South Asia,158,South Asia,excess_deaths,1,Number,125000,96700,159000
53621,Sindh,165,4,159,South Asia,158,South Asia,excess_death_rate,3,Rate,127.7,99.2,162.9
53621,Sindh,165,4,159,South Asia,158,South Asia,ratio_excess_over_covid,NA,NA,16.3,12.66,20.78
53621,Sindh,165,4,159,South Asia,158,South Asia,reported_covid_deaths,1,Number,7640,NA,NA
4,"Southeast Asia, east Asia, and Oceania",1,1,NA,,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,7.5,NA,NA
4,"Southeast Asia, east Asia, and Oceania",1,1,NA,,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,1250000,1060000,1500000
4,"Southeast Asia, east Asia, and Oceania",1,1,NA,,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,28.6,24.2,34.3
4,"Southeast Asia, east Asia, and Oceania",1,1,NA,,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,3.79,3.22,4.55
4,"Southeast Asia, east Asia, and Oceania",1,1,NA,,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,329000,NA,NA
5,East Asia,4,2,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,0.2,NA,NA
5,East Asia,4,2,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,15500,4320,27900
5,East Asia,4,2,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,0.5,0.1,0.9
5,East Asia,4,2,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,2.69,0.75,4.85
5,East Asia,4,2,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,5760,NA,NA
6,China,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,0.2,NA,NA
6,China,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,17900,7540,30100
6,China,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,0.6,0.3,1
6,China,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,3.71,1.56,6.25
6,China,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,4820,NA,NA
503,Hubei,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,4,NA,NA
503,Hubei,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,10600,5710,15500
503,Hubei,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,9.4,5.1,13.7
503,Hubei,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,2.34,1.27,3.42
503,Hubei,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,4510,NA,NA
NA,All other provinces,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,0,NA,NA
NA,All other provinces,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,7330,1630,14100
NA,All other provinces,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,0.3,0.1,0.5
NA,All other provinces,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,23.57,5.25,45.3
NA,All other provinces,6,4,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,311,NA,NA
8,Taiwan (province of China),5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,1.8,NA,NA
8,Taiwan (province of China),5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,-2720,-4460,-736
8,Taiwan (province of China),5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,-5.9,-9.6,-1.6
8,Taiwan (province of China),5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,-3.2,-5.25,-0.87
8,Taiwan (province of China),5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,850,NA,NA
7,North Korea,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,0.2,NA,NA
7,North Korea,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,318,134,536
7,North Korea,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,0.6,0.3,1
7,North Korea,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,3.71,1.56,6.25
7,North Korea,5,3,5,East Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,86,NA,NA
21,Oceania,4,2,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,7.3,NA,NA
21,Oceania,4,2,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,17500,11900,24700
21,Oceania,4,2,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,81.3,55.4,115.1
21,Oceania,4,2,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,11.11,7.58,15.73
21,Oceania,4,2,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,1570,NA,NA
22,Fiji,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,41.1,NA,NA
22,Fiji,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,1480,1030,1930
22,Fiji,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,87.1,61,113.6
22,Fiji,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,2.12,1.48,2.76
22,Fiji,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,698,NA,NA
351,Guam,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,86.3,NA,NA
351,Guam,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,333,292,382
351,Guam,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,106.6,93.5,122.3
351,Guam,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,1.23,1.08,1.42
351,Guam,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,270,NA,NA
376,Northern Mariana Islands,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,17.2,NA,NA
376,Northern Mariana Islands,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,31,18,44
376,Northern Mariana Islands,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,41,23.7,57.4
376,Northern Mariana Islands,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,2.39,1.38,3.35
376,Northern Mariana Islands,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,13,NA,NA
26,Papua New Guinea,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,3.1,NA,NA
26,Papua New Guinea,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,15600,10400,22200
26,Papua New Guinea,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,82,54.9,116.8
26,Papua New Guinea,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,26.43,17.69,37.68
26,Papua New Guinea,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,590,NA,NA
30,Vanuatu,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,0.3,NA,NA
30,Vanuatu,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,35,10,72
30,Vanuatu,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,9.4,2.7,19.2
30,Vanuatu,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,34.98,10.18,71.57
30,Vanuatu,21,3,21,Oceania,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,1,NA,NA
9,Southeast Asia,4,2,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,24,NA,NA
9,Southeast Asia,4,2,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,1210000,1030000,1460000
9,Southeast Asia,4,2,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,90.8,77,109
9,Southeast Asia,4,2,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,3.78,3.2,4.54
9,Southeast Asia,4,2,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,322000,NA,NA
10,Cambodia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,9,NA,NA
10,Cambodia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,17500,12700,23700
10,Cambodia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,52.5,38.2,71.1
10,Cambodia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,5.8,4.22,7.85
10,Cambodia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,3010,NA,NA
11,Indonesia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,27.5,NA,NA
11,Indonesia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,736000,594000,955000
11,Indonesia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,140.7,113.6,182.5
11,Indonesia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,5.11,4.12,6.63
11,Indonesia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,144000,NA,NA
12,Laos,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,2.8,NA,NA
12,Laos,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,4640,3180,6190
12,Laos,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,34.7,23.8,46.3
12,Laos,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,12.47,8.56,16.65
12,Laos,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,372,NA,NA
13,Malaysia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,53.3,NA,NA
13,Malaysia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,48100,40300,58200
13,Malaysia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,81.4,68.2,98.5
13,Malaysia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,1.53,1.28,1.85
13,Malaysia,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,31500,NA,NA
14,Maldives,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,27.3,NA,NA
14,Maldives,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,296,231,372
14,Maldives,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,30.8,24,38.7
14,Maldives,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,1.13,0.88,1.42
14,Maldives,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,262,NA,NA
183,Mauritius,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,32.5,NA,NA
183,Mauritius,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,659,331,987
183,Mauritius,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,28.2,14.1,42.2
183,Mauritius,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,0.87,0.43,1.3
183,Mauritius,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,762,NA,NA
15,Myanmar,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,19.2,NA,NA
15,Myanmar,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,101000,71800,140000
15,Myanmar,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,100.9,71.7,139.7
15,Myanmar,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,5.25,3.73,7.26
15,Myanmar,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,19300,NA,NA
16,Philippines,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,23.8,NA,NA
16,Philippines,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,184000,175000,197000
16,Philippines,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,82.9,78.8,88.7
16,Philippines,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,3.48,3.31,3.72
16,Philippines,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,53000,NA,NA
186,Seychelles,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,69.1,NA,NA
186,Seychelles,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,116,98,144
186,Seychelles,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,60,50.7,74
186,Seychelles,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,0.87,0.73,1.07
186,Seychelles,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,134,NA,NA
17,Sri Lanka,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,34.3,NA,NA
17,Sri Lanka,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,12900,7670,18100
17,Sri Lanka,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,29.5,17.6,41.4
17,Sri Lanka,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,0.86,0.51,1.21
17,Sri Lanka,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,15000,NA,NA
18,Thailand,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,15.3,NA,NA
18,Thailand,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,35200,26600,42200
18,Thailand,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,24.9,18.7,29.8
18,Thailand,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,1.62,1.22,1.94
18,Thailand,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,21700,NA,NA
19,Timor-Leste,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,4.8,NA,NA
19,Timor-Leste,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,1300,976,1610
19,Timor-Leste,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,51.1,38.4,63.3
19,Timor-Leste,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,10.65,8,13.19
19,Timor-Leste,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,122,NA,NA
20,Vietnam,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",covid_death_rate,3,Rate,16.6,NA,NA
20,Vietnam,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_deaths,1,Number,72300,39600,111000
20,Vietnam,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",excess_death_rate,3,Rate,37,20.3,57.1
20,Vietnam,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",ratio_excess_over_covid,NA,NA,2.23,1.22,3.44
20,Vietnam,9,3,9,Southeast Asia,4,"Southeast Asia, East Asia, and Oceania",reported_covid_deaths,1,Number,32400,NA,NA
166,Sub-Saharan Africa,1,1,NA,,166,Sub-Saharan Africa,covid_death_rate,3,Rate,7.2,NA,NA
166,Sub-Saharan Africa,1,1,NA,,166,Sub-Saharan Africa,excess_deaths,1,Number,2130000,1730000,2820000
166,Sub-Saharan Africa,1,1,NA,,166,Sub-Saharan Africa,excess_death_rate,3,Rate,101.6,82.4,134.5
166,Sub-Saharan Africa,1,1,NA,,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,14.2,11.51,18.79
166,Sub-Saharan Africa,1,1,NA,,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,150000,NA,NA
167,Central sub-Saharan Africa,166,2,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,1.5,NA,NA
167,Central sub-Saharan Africa,166,2,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,195000,142000,273000
167,Central sub-Saharan Africa,166,2,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,76.8,55.7,107.5
167,Central sub-Saharan Africa,166,2,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,50,36.26,70
167,Central sub-Saharan Africa,166,2,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,3910,NA,NA
168,Angola,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3,NA,NA
168,Angola,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,64000,46000,88900
168,Angola,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,107.3,77.2,149
168,Angola,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,36.17,26.01,50.2
168,Angola,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1770,NA,NA
169,Central African Republic,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.9,NA,NA
169,Central African Republic,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,14100,8980,21600
169,Central African Republic,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,118.4,75.5,181.6
169,Central African Republic,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,139.24,88.86,213.67
169,Central African Republic,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,101,NA,NA
170,Congo (Brazzaville),167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3.7,NA,NA
170,Congo (Brazzaville),167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,11700,9320,15000
170,Congo (Brazzaville),167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,117.2,93.3,150.4
170,Congo (Brazzaville),167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,31.91,25.39,40.95
170,Congo (Brazzaville),167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,367,NA,NA
171,DR Congo,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.7,NA,NA
171,DR Congo,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,98700,66400,151000
171,DR Congo,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,59.2,39.8,90.4
171,DR Congo,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,81.94,55.08,125.13
171,DR Congo,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1200,NA,NA
172,Equatorial Guinea,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,6.3,NA,NA
172,Equatorial Guinea,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,2770,2090,3620
172,Equatorial Guinea,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,99.9,75.5,130.8
172,Equatorial Guinea,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,15.82,11.95,20.71
172,Equatorial Guinea,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,175,NA,NA
173,Gabon,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,8.6,NA,NA
173,Gabon,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,3980,3240,4770
173,Gabon,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,119,96.7,142.5
173,Gabon,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,13.83,11.25,16.57
173,Gabon,167,3,167,Central Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,288,NA,NA
174,Eastern sub-Saharan Africa,166,2,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3.6,NA,NA
174,Eastern sub-Saharan Africa,166,2,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,1010000,780000,1440000
174,Eastern sub-Saharan Africa,166,2,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,127.1,98.5,181.5
174,Eastern sub-Saharan Africa,166,2,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,35,27.11,49.97
174,Eastern sub-Saharan Africa,166,2,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,28800,NA,NA
175,Burundi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.2,NA,NA
175,Burundi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,4310,2730,6350
175,Burundi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,19.8,12.5,29.1
175,Burundi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,126.85,80.33,186.68
175,Burundi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,34,NA,NA
176,Comoros,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,12.4,NA,NA
176,Comoros,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,1480,1090,1850
176,Comoros,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,117.2,86.1,146.6
176,Comoros,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,9.42,6.92,11.79
176,Comoros,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,157,NA,NA
177,Djibouti,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,8.1,NA,NA
177,Djibouti,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,3850,2940,4840
177,Djibouti,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,164.3,125.7,206.8
177,Djibouti,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,20.36,15.57,25.63
177,Djibouti,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,189,NA,NA
178,Eritrea,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.5,NA,NA
178,Eritrea,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,7210,5130,10300
178,Eritrea,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,51,36.3,72.9
178,Eritrea,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,94.9,67.52,135.68
178,Eritrea,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,76,NA,NA
179,Ethiopia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3.5,NA,NA
179,Ethiopia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,208000,150000,313000
179,Ethiopia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,104.6,75.4,157.5
179,Ethiopia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,30,21.63,45.19
179,Ethiopia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,6940,NA,NA
180,Kenya,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,5.7,NA,NA
180,Kenya,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,171000,127000,266000
180,Kenya,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,181.2,135.3,281.8
180,Kenya,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,31.75,23.7,49.38
180,Kenya,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,5380,NA,NA
181,Madagascar,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,2,NA,NA
181,Madagascar,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,65100,49000,94000
181,Madagascar,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,125.4,94.3,180.9
181,Madagascar,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,63.44,47.67,91.51
181,Madagascar,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1030,NA,NA
182,Malawi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,6.8,NA,NA
182,Malawi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,54900,45400,68900
182,Malawi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,158.9,131.4,199.4
182,Malawi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,23.24,19.22,29.16
182,Malawi,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,2360,NA,NA
184,Mozambique,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3.6,NA,NA
184,Mozambique,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,78100,54100,109000
184,Mozambique,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,139.2,96.4,193.8
184,Mozambique,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,38.91,26.95,54.17
184,Mozambique,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,2010,NA,NA
185,Rwanda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,5.5,NA,NA
185,Rwanda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,21900,17500,27500
185,Rwanda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,89.8,71.4,112.6
185,Rwanda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,16.26,12.93,20.38
185,Rwanda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1350,NA,NA
187,Somalia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,2.6,NA,NA
187,Somalia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,89000,45800,153000
187,Somalia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,172.1,88.6,295.8
187,Somalia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,66.78,34.37,114.77
187,Somalia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1330,NA,NA
435,South Sudan,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.6,NA,NA
435,South Sudan,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,14700,8460,24000
435,South Sudan,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,66.1,37.9,107.6
435,South Sudan,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,109.08,62.64,177.57
435,South Sudan,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,135,NA,NA
189,Tanzania,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.7,NA,NA
189,Tanzania,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,132000,102000,188000
189,Tanzania,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,127.1,98.5,181.5
189,Tanzania,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,178.81,138.54,255.32
189,Tanzania,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,737,NA,NA
190,Uganda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,4.2,NA,NA
190,Uganda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,73500,55900,95400
190,Uganda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,93.5,71.1,121.4
190,Uganda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,22.31,16.97,28.96
190,Uganda,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,3290,NA,NA
191,Zambia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,10.5,NA,NA
191,Zambia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,81300,59100,115000
191,Zambia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,228.2,165.9,322.8
191,Zambia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,21.77,15.83,30.79
191,Zambia,174,3,174,Eastern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,3730,NA,NA
192,Southern sub-Saharan Africa,166,2,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,71.6,NA,NA
192,Southern sub-Saharan Africa,166,2,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,449000,418000,483000
192,Southern sub-Saharan Africa,166,2,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,308.6,287.3,331.6
192,Southern sub-Saharan Africa,166,2,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,4.31,4.01,4.63
192,Southern sub-Saharan Africa,166,2,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,104000,NA,NA
193,Botswana,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,56.8,NA,NA
193,Botswana,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,17200,14200,20700
193,Botswana,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,399.5,329.1,482.1
193,Botswana,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,7.03,5.79,8.48
193,Botswana,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,2440,NA,NA
197,Eswatini,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,60.9,NA,NA
197,Eswatini,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,13600,10500,16600
197,Eswatini,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,634.9,491.8,775.4
197,Eswatini,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,10.42,8.07,12.73
197,Eswatini,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1300,NA,NA
194,Lesotho,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,21,NA,NA
194,Lesotho,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,17800,14600,21900
194,Lesotho,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,562.9,460.8,691.4
194,Lesotho,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,26.82,21.96,32.94
194,Lesotho,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,665,NA,NA
195,Namibia,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,79.8,NA,NA
195,Namibia,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,18000,15500,20400
195,Namibia,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,395.6,340.2,448.8
195,Namibia,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,4.95,4.26,5.62
195,Namibia,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,3630,NA,NA
196,South Africa,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,88.6,NA,NA
196,South Africa,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,302000,287000,332000
196,South Africa,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,293.2,279,322.8
196,South Africa,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,3.31,3.15,3.64
196,South Africa,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,91100,NA,NA
198,Zimbabwe,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,17.6,NA,NA
198,Zimbabwe,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,80900,64000,101000
198,Zimbabwe,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,283.6,224.7,352.7
198,Zimbabwe,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,16.16,12.8,20.09
198,Zimbabwe,192,3,192,Southern Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,5000,NA,NA
199,Western sub-Saharan Africa,166,2,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,1.5,NA,NA
199,Western sub-Saharan Africa,166,2,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,480000,343000,650000
199,Western sub-Saharan Africa,166,2,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,53,37.9,71.8
199,Western sub-Saharan Africa,166,2,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,36.37,25.98,49.26
199,Western sub-Saharan Africa,166,2,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,13200,NA,NA
200,Benin,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.7,NA,NA
200,Benin,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,8250,5560,11500
200,Benin,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,33.6,22.7,46.7
200,Benin,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,51.23,34.56,71.17
200,Benin,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,161,NA,NA
201,Burkina Faso,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.8,NA,NA
201,Burkina Faso,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,21400,14200,31800
201,Burkina Faso,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,51,33.8,75.9
201,Burkina Faso,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,67.18,44.53,99.91
201,Burkina Faso,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,318,NA,NA
203,Cape Verde,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,34.4,NA,NA
203,Cape Verde,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,659,505,790
203,Cape Verde,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,64.5,49.4,77.3
203,Cape Verde,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,1.87,1.44,2.24
203,Cape Verde,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,352,NA,NA
202,Cameroon,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3.1,NA,NA
202,Cameroon,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,41300,30800,53600
202,Cameroon,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,70.3,52.4,91.2
202,Cameroon,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,22.32,16.63,28.94
202,Cameroon,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1850,NA,NA
204,Chad,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.6,NA,NA
204,Chad,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,15200,8570,23500
204,Chad,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,47,26.5,72.7
204,Chad,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,83.87,47.34,129.85
204,Chad,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,181,NA,NA
205,Côte d'Ivoire,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,1.3,NA,NA
205,Côte d'Ivoire,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,33900,24600,47100
205,Côte d'Ivoire,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,63.4,45.9,88
205,Côte d'Ivoire,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,47.5,34.43,66
205,Côte d'Ivoire,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,714,NA,NA
206,The Gambia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,7.8,NA,NA
206,The Gambia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,6340,5230,7840
206,The Gambia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,144.9,119.6,179.2
206,The Gambia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,18.48,15.25,22.85
206,The Gambia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,343,NA,NA
207,Ghana,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,2.1,NA,NA
207,Ghana,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,35900,28100,44700
207,Ghana,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,58.3,45.6,72.5
207,Ghana,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,27.75,21.71,34.51
207,Ghana,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1300,NA,NA
208,Guinea,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,1.6,NA,NA
208,Guinea,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,26700,18500,38900
208,Guinea,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,111,77,161.8
208,Guinea,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,68.23,47.35,99.49
208,Guinea,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,391,NA,NA
209,Guinea-Bissau,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,4,NA,NA
209,Guinea-Bissau,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,4350,3310,5560
209,Guinea-Bissau,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,116.4,88.8,148.9
209,Guinea-Bissau,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,29.17,22.25,37.29
209,Guinea-Bissau,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,149,NA,NA
210,Liberia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,3.3,NA,NA
210,Liberia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,7970,6310,10700
210,Liberia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,90.6,71.7,121.5
210,Liberia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,27.77,21.97,37.24
210,Liberia,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,287,NA,NA
211,Mali,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,1.5,NA,NA
211,Mali,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,33500,22100,47500
211,Mali,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,76.1,50.3,107.8
211,Mali,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,50.75,33.55,71.95
211,Mali,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,660,NA,NA
212,Mauritania,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,10.9,NA,NA
212,Mauritania,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,7990,5680,10500
212,Mauritania,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,100.5,71.5,131.7
212,Mauritania,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,9.22,6.56,12.09
212,Mauritania,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,866,NA,NA
213,Niger,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.6,NA,NA
213,Niger,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,18100,10300,27700
213,Niger,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,39.5,22.4,60.3
213,Niger,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,65.86,37.38,100.67
213,Niger,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,275,NA,NA
214,Nigeria,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.7,NA,NA
214,Nigeria,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,163000,93500,238000
214,Nigeria,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,37.8,21.7,55.3
214,Nigeria,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,53.66,30.85,78.54
214,Nigeria,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,3030,NA,NA
215,São Tomé and Príncipe,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,14.8,NA,NA
215,São Tomé and Príncipe,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,235,157,303
215,São Tomé and Príncipe,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,61.1,40.8,78.6
215,São Tomé and Príncipe,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,4.13,2.76,5.32
215,São Tomé and Príncipe,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,57,NA,NA
216,Senegal,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,6.4,NA,NA
216,Senegal,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,38600,31900,50000
216,Senegal,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,130.1,107.6,168.5
216,Senegal,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,20.46,16.92,26.51
216,Senegal,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,1890,NA,NA
217,Sierra Leone,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,0.8,NA,NA
217,Sierra Leone,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,7570,4980,10300
217,Sierra Leone,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,47.3,31.2,64.5
217,Sierra Leone,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,61.54,40.52,83.92
217,Sierra Leone,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,123,NA,NA
218,Togo,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,covid_death_rate,3,Rate,1.6,NA,NA
218,Togo,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_deaths,1,Number,9030,6920,12000
218,Togo,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,excess_death_rate,3,Rate,58,44.5,77.2
218,Togo,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,ratio_excess_over_covid,NA,NA,36.42,27.91,48.49
218,Togo,199,3,199,Western Sub-Saharan Africa,166,Sub-Saharan Africa,reported_covid_deaths,1,Number,248,NA,NA