[EIP_​2PLF_​SEX_​AGE_​NB] Potential labour force by sex and age -- ILO modelled estimates, Nov. 2022 (thousands)

Retrieved by DBnomics on September 4, 2023 (6:24 AM).

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

This dataset has 2,439 series:

Series code 200520062007200820092010201120122013201420152016201720182019202020212022
[AFG.XA_​2198.AGE_​YTHADULT_​Y15-24.SEX_​F.A] 104.226108.13107.911108.982114.348118.947127.148136.95145.943155.55195.967247.285316.281328.441341.248549.775--
[AFG.XA_​2198.AGE_​YTHADULT_​Y15-24.SEX_​M.A] 94.89899.001100.065101.877106.484109.928113.127116.832118.636120.915138.281159.815186.253189.388192.155343.816--
[AFG.XA_​2198.AGE_​YTHADULT_​Y15-24.SEX_​T.A] 199.124207.131207.975210.859220.832228.875240.274253.782264.579276.465334.248407.1502.533517.828533.403893.591--
[AFG.XA_​2198.AGE_​YTHADULT_​YGE15.SEX_​F.A] 292.119304.311305.208308.083321.203331.259347.534367.865385.279404.755478.829565.552676.049701.85729.9361180.144--
[AFG.XA_​2198.AGE_​YTHADULT_​YGE15.SEX_​M.A] 197.883203.403200.206197.791201.926203.799208.053214.837219.145225.505261.802302.713350.696357.57364.296656.619--
[AFG.XA_​2198.AGE_​YTHADULT_​YGE15.SEX_​T.A] 490.002507.714505.414505.875523.128535.058555.587582.702604.424630.26740.631868.2651026.7451059.421094.2321836.763--
[AFG.XA_​2198.AGE_​YTHADULT_​YGE25.SEX_​F.A] 187.893196.181197.297199.101206.855212.312220.387230.915239.336249.205282.862318.267359.768373.409388.687630.369--
[AFG.XA_​2198.AGE_​YTHADULT_​YGE25.SEX_​M.A] 102.985104.402100.14195.91495.44193.87194.92698.005100.509104.59123.521142.897164.443168.182172.141312.803--
[AFG.XA_​2198.AGE_​YTHADULT_​YGE25.SEX_​T.A] 290.878300.583297.439295.016302.296306.183315.313328.92339.844353.795406.383461.165524.211541.591560.828943.172--
[AGO.XA_​2010.AGE_​YTHADULT_​Y15-24.SEX_​F.A] 323.798334.154344.686355.502366.171469.501449.999463.828479.431495.261512.538531.053550.709571.982593.986694.963653.847678.598