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[POP_​2POP_​SEX_​AGE_​GEO_​NB] Population by sex, age and rural / urban areas -- UN estimates, July 2022 (thousands)

Updated on DBnomics on September 5, 2023 (5:48 AM).

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Reference area [ref_​area] (271)
Source [source] (271)
Classification 1 [classif1] (33)
Classification 2 [classif2] (3)
Sex [sex] (3)
Frequency [frequency] (1)

This dataset has 80,487 series:

Series code 199019952000200520102015
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​NAT.SEX_​T.A] 1341.167 2066.52 2474.546 3110.565 3421.778 4401.863
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​RUR.SEX_​F.A] 568.463 853.23 983.474 1194.814 1277.185 1602.051
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​RUR.SEX_​M.A] 526.661 803.69 962.324 1201.316 1298.169 1624.475
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​RUR.SEX_​T.A] 1094.627 1656.358 1945.437 2395.734 2575.398 3226.864
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​URB.SEX_​F.A] 123.993 204.716 259.034 344.988 406.005 563.889
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​URB.SEX_​M.A] 122.05 204.884 269.714 369.446 440.42 611.448
[AFG.XA_​2198.AGE_​10YRBANDS_​Y25-34.GEO_​COV_​URB.SEX_​T.A] 246.54 410.162 529.109 714.831 846.38 1174.999
[AFG.XA_​2198.AGE_​10YRBANDS_​Y35-44.GEO_​COV_​NAT.SEX_​F.A] 475.09 694.411 818.017 1026.925 1180.333 1450.647
[AFG.XA_​2198.AGE_​10YRBANDS_​Y35-44.GEO_​COV_​NAT.SEX_​M.A] 438.963 637.908 749.917 971.039 1159.298 1470.624
[AFG.XA_​2198.AGE_​10YRBANDS_​Y35-44.GEO_​COV_​NAT.SEX_​T.A] 914.054 1332.318 1567.934 1997.964 2339.632 2921.271