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[LUU_2LU4_SEX_AGE_GEO_RT] Composite rate of labour underutilization (LU4) by sex, age and rural / urban areas -- ILO modelled estimates, Nov. 2020 (%)

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

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Reference area [ref_area] (283)
Source [source] (283)
Classification 1 [classif1] (3)
Classification 2 [classif2] (3)
Sex [sex] (3)
Frequency [frequency] (1)

This dataset has 7,641 series:

Series code 200520062007200820092010201120122013201420152016201720182019
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A] 63.844 63.695 64.28 63.98 65.207 65.212 64.984 64.762 64.185 63.486 62.931 62.351 61.626 61.109 60.701
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A] 42.587 42.494 42.152 42.236 42.59 42.702 42.433 42.227 42.003 41.594 41.219 40.856 40.444 40.355 40.297
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A] 47.422 47.269 47.105 47.057 47.628 47.73 47.589 47.531 47.468 47.234 47.072 46.914 46.673 46.53 46.439
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A] 58.006 58.003 58.629 58.499 59.693 59.826 59.721 59.615 59.164 58.602 57.951 57.325 56.624 56.08 55.632
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A] 41.83 41.695 41.373 41.392 41.685 41.76 41.535 41.372 41.216 40.893 40.703 40.532 40.325 40.291 40.288
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A] 45.678 45.537 45.414 45.361 45.886 45.987 45.887 45.863 45.835 45.652 45.498 45.353 45.138 45.007 44.922
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A] 84.304 84.289 85.413 85.161 87.31 87.553 87.511 87.5 87.016 86.35 83.591 80.877 77.981 77.052 76.291
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A] 44.674 44.753 44.416 44.755 45.36 45.665 45.336 45.068 44.69 44.051 42.97 41.92 40.823 40.551 40.325
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A] 52.487 52.432 52.286 52.396 53.272 53.543 53.433 53.434 53.424 53.179 52.695 52.211 51.601 51.284 51.042
[AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A] 54.375 54.125 54.555 54.167 55.045 54.934 54.89 54.84 54.316 53.752 53.268 52.719 52.051 51.636 51.289