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Reference period200420052006200720082009201020112012201320142015201620172018
CountrySex
TotalMales and females5862101153179205251295351393426386402502570
Males334370108132147178218252283314278290370414
Females251931454758737799110112108112132156
AfganistanMales and females..........................12
Males..........................12
Females..........................00
AlbaniaMales and females000000002111111
Males000000001111111
Females000000001000000
AlgeriaMales and females............................1
Males............................1
Females............................0
United States of AmericaMales and females331013141211119151214132221
Males12911121010109141111121919
Females211222110113132
ArgentinaMales and females001000000001122
Males001000000001122
Females000000000000000
ArmeniaMales and females000000012211342
Males000000011100111
Females000000001111231
AzerbaijanMales and females............................2
Males............................2
Females............................0
AustraliaMales and females000111432122277
Males000111321122276
Females000000111000001
AustriaMales and females000000233233415
Males000000233233415
Females000000000000000
BangladeshMales and females000001000010012
Males000001000010012
Females000000000000000
BelgiumMales and females100040022011123
Males000040022011123
Females100000000000000
Bosnia and HertzegovinaMales and females000111111110000
Males000000000000000
Females000111111110000
BrazilMales and females000100022000132
Males000000001000010
Females000100021000122
BulgariaMales and females000204646444244
Males000204434444243
Females000000212000001
ColombiaMales and females000024311500001
Males000012100000000
Females000012211500001
EgyptMales and females001011000010004
Males001011000010004
Females000000000000000
PhilippinesMales and females000000001121100
Males000000000011100
Females000000001110000
GhanaMales and females............................1
Males............................1
Females............................0
GeorgiaMales and females000000110001443
Males000000110001432
Females000000000000011
GuatemalaMales and females000000001120000
Males000000001120000
Females000000000000000
ChinaMales and females10033413129914108911
Males000000564496656
Females100334865554245
SpainMales and females0114245512131110152123
Males01132344111098121718
Females000101111322345
NetherlandsMales and females101114445668554
Males101114335546243
Females000000110122311
CroatiaMales and females000011110000000
Males000000000000000
Females000011110000000
IrelandMales and females001111111124547
Males001111110012435
Females000000001112112
IsraelMales and females000000112111222
Males000000112111222
Females000000000000000
IndiaMales and females0012349814131620233447
Males0012337610101215162732
Females0000012243457715
IndonesiaMales and females000000001100211
Males000000001100100
Females000000000000111
IranMales and females00001112471210132023
Males000000000369121617
Females000011124461146
ItalyMales and females112768111823282927272935
Males01264791621252625262630
Females100121222332135
JapanMales and females211154535653334
Males000022212322222
Females211132323331112
YemenMales and females............................1
Males............................1
Females............................0
JordanMales and females000000000100011
Males000000000100011
Females000000000000000
CanadaMales and females111144225355435
Males111134225354223
Females000010000001212
KazakhstanMales and females000101111111111
Males000000010000000
Females000101101111111
KenyaMales and females000000000011111
Males000000000011111
Females000000000000000
South KoreaMales and females000011100010010
Males000011100000010
Females000000000010000
GreeceMales and females011112221112279
Males011112221112156
Females000000000000123
CyprusMales and females000000000000121
Males000000000000121
Females000000000000000
LithuaniaMales and females000022233344257
Males000001111112133
Females000021122232124
LebanonMales and females000000110000000
Males000000110000000
Females000000000000000
South AfricaMales and females000000000100000
Males000000000100000
Females000000000000000
LatviaMales and females13354791217182219242226
Males12232358101112971015
Females01122444771010171211
MoroccoMales and females000000000111111
Males000000000111111
Females000000000000000
MexicoMales and females000111313524354
Males000111112323232
Females000000201201122
Moldova, Republic ofMales and females000000002322212
Males000000001211112
Females000000001111100
NepalMales and females000000011000011
Males000000011000011
Females000000000000000
NigeriaMales and females000000000000236
Males000000000000113
Females000000000000123
NorwayMales and females121333333444311
Males120223332334311
Females001110001110000
PakistanMales and females00100013335441010
Males000000021243488
Females001000112111022
PalestineMales and females000000020100000
Males000000020100000
Females000000000000000
PeruMales and females101111211221121
Males000000000000000
Females101111211221121
PolandMales and females021232133344443
Males010121010223322
Females011111123121121
PortugalMales and females000112433444567
Males000112322222334
Females000000111222233
FranceMales and females21351211101071110109711
Males102487763676657
Females111144344534324
SwedenMales and females01210109131713121312101112
Males01269710131091111999
Females000412343321123
NAMales and females000011000100000
Males000011000100000
Females000000000000000
RomaniaMales and females100128233111303
Males100126221100002
Females000002012011301
GermanyMales and females141522273233354047534946505658
Males111319222528303543454438424750
Females323575554858898
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Data extracted on 19 nov 2019 04:04 UTC (GMT) fromStatistika andmebaas

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