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Reference period20042005200620072008200920102011201220132014201520162017201820192020
CountrySex
TotalMales and females5862101153179205251295351393426386402502570562774
Males334370108132147178218252283314278290370414403547
Females251931454758737799110112108112132156159227
AfganistanMales and females..........................1213
Males..........................1212
Females..........................0001
AlbaniaMales and females00000000211111111
Males00000000111111111
Females00000000100000000
AlgeriaMales and females............................113
Males............................112
Females............................001
United States of AmericaMales and females3310131412111191512141322212325
Males129111210101091411111219191920
Females21122211011313245
ArgentinaMales and females00100000000112222
Males00100000000112222
Females00000000000000000
ArmeniaMales and females00000001221134222
Males00000001110011111
Females00000000111123111
AzerbaijanMales and females............................222
Males............................222
Females............................000
AustraliaMales and females00011143212227767
Males00011132112227655
Females00000011100000112
AustriaMales and females00000023323341589
Males00000023323341578
Females00000000000000011
BangladeshMales and females00000100001001236
Males00000100001001235
Females00000000000000001
BelgiumMales and females10004002201112335
Males00004002201112333
Females10000000000000002
Bosnia and HertzegovinaMales and females00011111111000000
Males00000000000000000
Females00011111111000000
BrazilMales and females000100022000132512
Males00000000100001016
Females00010002100012246
BulgariaMales and females00020464644424454
Males00020443444424333
Females00000021200000121
ColombiaMales and females00002431150000114
Males00001210000000002
Females00001221150000112
EgyptMales and females00101100001000425
Males00101100001000425
Females00000000000000000
PhilippinesMales and females00000000112110000
Males00000000001110000
Females00000000111000000
GhanaMales and females............................123
Males............................122
Females............................001
GeorgiaMales and females00000011000144325
Males00000011000143212
Females00000000000001113
GuatemalaMales and females00000000112000011
Males00000000112000011
Females00000000000000000
ChinaMales and females100334131299141089111113
Males00000056449665669
Females10033486555424554
SpainMales and females01142455121311101521232633
Males011323441110981217181824
Females00010111132234589
NetherlandsMales and females10111444566855499
Males10111433554624377
Females00000011012231122
CroatiaMales and females00001111000000000
Males00000000000000000
Females00001111000000000
IrelandMales and females00111111112454722
Males00111111001243510
Females00000000111211212
IsraelMales and females00000011211122222
Males00000011211122222
Females00000000000000000
IndiaMales and females00123498141316202334473956
Males00123376101012151627322837
Females00000122434577151119
IndonesiaMales and females00000000110021102
Males00000000110010001
Females00000000000011101
IranMales and females000011124712101320231640
Males0000000003691216171027
Females000011124461146613
ItalyMales and females1127681118232829272729354044
Males012647916212526252626303435
Females10012122233213569
JapanMales and females21115453565333468
Males00002221232222246
Females21113232333111222
YemenMales and females............................100
Males............................100
Females............................000
JordanMales and females00000000010001102
Males00000000010001102
Females00000000000000000
CanadaMales and females11114422535543534
Males11113422535422323
Females00001000000121211
KazakhstanMales and females00010111111111122
Males00000001000000000
Females00010110111111122
KenyaMales and females00000000001111100
Males00000000001111100
Females00000000000000000
South KoreaMales and females00001110001001010
Males00001110000001010
Females00000000001000000
GreeceMales and females011112221112279615
Males011112221112156512
Females00000000000012313
CyprusMales and females00000000000012121
Males00000000000012121
Females00000000000000000
LithuaniaMales and females000022233344257710
Males00000111111213334
Females00002112223212446
LebanonMales and females00000011000000000
Males00000011000000000
Females00000000000000000
South AfricaMales and females00000000010000001
Males00000000010000000
Females00000000000000001
LatviaMales and females133547912171822192422262320
Males122323581011129710151413
Females0112244477101017121197
MoroccoMales and females00000000011111111
Males00000000011111111
Females00000000000000000
MexicoMales and females00011131352435437
Males00011111232323224
Females00000020120112213
Moldova, Republic ofMales and females00000000232221223
Males00000000121111222
Females00000000111110001
NepalMales and females00000001100001112
Males00000001100001101
Females00000000000000011
NigeriaMales and females000000000000236812
Males000000000000113510
Females00000000000012332
NorwayMales and females12133333344431112
Males12022333233431112
Females00111000111000000
PakistanMales and females001000133354410101325
Males0000000212434881117
Females00100011211102228
PalestineMales and females00000002010000001
Males00000002010000001
Females00000000000000000
PeruMales and females10111121122112100
Males00000000000000000
Females10111121122112100
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Data extracted on 24 sept 2021 14:32 UTC (GMT) fromStatistika andmebaas

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