[EIP_2JOB_SEX_NB] Potential labour force and willing non-jobseekers by sex -- ILO modelled estimates, Nov. 2023 (thousands)
Retrieved by DBnomics on December 18, 2023 (4:52 AM).
[X01] World
[X02] World: Low income
[X03] World: Lower-middle income
[X04] World: Upper-middle income
[X05] World: High income
[X06] Africa
[X07] Africa: Low income
[X08] Africa: Lower-middle income
[X09] Africa: Upper-middle income
[X10] Northern Africa
[X11] Northern Africa: Lower-middle income
[X13] Sub-Saharan Africa
[X14] Sub-Saharan Africa: Low income
[X15] Sub-Saharan Africa: Lower-middle income
[X16] Sub-Saharan Africa: Upper-middle income
[X17] Central Africa
[X18] Eastern Africa
[X19] Southern Africa
[X20] Western Africa
[X21] Americas
[X23] Americas: Lower-middle income
[X24] Americas: Upper-middle income
[X25] Americas: High income
[X26] Latin America and the Caribbean
[X28] Latin America and the Caribbean: Lower-middle income
[X29] Latin America and the Caribbean: Upper-middle income
[X30] Latin America and the Caribbean: High income
[X31] Caribbean
[X32] Central America
[X33] South America
[X34] Northern America
[X35] Northern America: High income
[X36] Arab States
[X37] Arab States: Lower-middle income
[X38] Arab States: Upper-middle income
[X39] Arab States: High income
[X40] Asia and the Pacific
[X41] Asia and the Pacific: Low income
[X42] Asia and the Pacific: Lower-middle income
[X43] Asia and the Pacific: Upper-middle income
[X44] Asia and the Pacific: High income
[X45] Eastern Asia
[X48] Eastern Asia: High income
[X49] South-Eastern Asia and the Pacific
[X51] South-Eastern Asia and the Pacific: Lower-middle income
[X52] South-Eastern Asia and the Pacific: Upper-middle income
[X53] South-Eastern Asia and the Pacific: High income
[X54] South-Eastern Asia
[X55] Pacific Islands
[X56] Southern Asia
[X58] Southern Asia: Lower-middle income
[X60] Europe and Central Asia
[X61] Europe and Central Asia: Lower-middle income
[X62] Europe and Central Asia: Upper-middle income
[X63] Europe and Central Asia: High income
[X64] Northern, Southern and Western Europe
[X65] Northern, Southern and Western Europe: Upper-middle income
[X66] Northern, Southern and Western Europe: High income
[X67] Northern Europe
[X68] Southern Europe
[X69] Western Europe
[X70] Eastern Europe
[X72] Eastern Europe: Upper-middle income
[X73] Eastern Europe: High income
[X74] Central Asia
[X75] Central and Western Asia: Lower-middle income
[X76] Central and Western Asia: Upper-middle income
[X77] Central and Western Asia: High income
[X78] Central and Western Asia
[X79] Western Asia
[X82] European Union 28
[X83] G20
[X84] ASEAN
[X85] BRICS
[X87] World excluding BRICS
[X88] G7
[X89] MENA
[X90] Arab League
[X91] CARICOM
[X92] European Union 27
[X94] Arab States: Low income
[X97] APEC
[X98] World excluding India and China
[X99] World: Lower-middle income excluding India
[XA1] World: Upper-middle income excluding China
[XA_12987] ILO - Modelled Estimates
[XA_12988] ILO - Modelled Estimates
[XA_12989] ILO - Modelled Estimates
[XA_12990] ILO - Modelled Estimates
[XA_13329] ILO - Modelled Estimates
[XA_14065] ILO - Modelled Estimates
[XA_14066] ILO - Modelled Estimates
[XA_15672] ILO - Modelled Estimates
[XA_15716] ILO - Modelled Estimates
[XA_15724] ILO - Modelled Estimates
[XA_15736] ILO - Modelled Estimates
[XA_16111] ILO - Modelled Estimates
[XA_16212] ILO - Modelled Estimates
[XA_16213] ILO - Modelled Estimates
[XA_16214] ILO - Modelled Estimates
[XA_8372] ILO - Modelled Estimates
[XA_8373] ILO - Modelled Estimates
[XA_8374] ILO - Modelled Estimates
[XA_8375] ILO - Modelled Estimates
[XA_8376] ILO - Modelled Estimates
[XA_8377] ILO - Modelled Estimates
[XA_8378] ILO - Modelled Estimates
[XA_8379] ILO - Modelled Estimates
[XA_8380] ILO - Modelled Estimates
[XA_8381] ILO - Modelled Estimates
[XA_8382] ILO - Modelled Estimates
[XA_8383] ILO - Modelled Estimates
[XA_8384] ILO - Modelled Estimates
[XA_8385] ILO - Modelled Estimates
[XA_8386] ILO - Modelled Estimates
[XA_8387] ILO - Modelled Estimates
[XA_8388] ILO - Modelled Estimates
[XA_8389] ILO - Modelled Estimates
[XA_8390] ILO - Modelled Estimates
[XA_8391] ILO - Modelled Estimates
[XA_8392] ILO - Modelled Estimates
[XA_8393] ILO - Modelled Estimates
[XA_8394] ILO - Modelled Estimates
[XA_8395] ILO - Modelled Estimates
[XA_8396] ILO - Modelled Estimates
[XA_8397] ILO - Modelled Estimates
[XA_8398] ILO - Modelled Estimates
[XA_8399] ILO - Modelled Estimates
[XA_8400] ILO - Modelled Estimates
[XA_8401] ILO - Modelled Estimates
[XA_8402] ILO - Modelled Estimates
[XA_8403] ILO - Modelled Estimates
[XA_8404] ILO - Modelled Estimates
[XA_8405] ILO - Modelled Estimates
[XA_8406] ILO - Modelled Estimates
[XA_8407] ILO - Modelled Estimates
[XA_8408] ILO - Modelled Estimates
[XA_8409] ILO - Modelled Estimates
[XA_8411] ILO - Modelled Estimates
[XA_8412] ILO - Modelled Estimates
[XA_8413] ILO - Modelled Estimates
[XA_8415] ILO - Modelled Estimates
[XA_8416] ILO - Modelled Estimates
[XA_8417] ILO - Modelled Estimates
[XA_8419] ILO - Modelled Estimates
[XA_8420] ILO - Modelled Estimates
[XA_8421] ILO - Modelled Estimates
[XA_8422] ILO - Modelled Estimates
[XA_8423] ILO - Modelled Estimates
[XA_8424] ILO - Modelled Estimates
[XA_8425] ILO - Modelled Estimates
[XA_8426] ILO - Modelled Estimates
[XA_8427] ILO - Modelled Estimates
[XA_8428] ILO - Modelled Estimates
[XA_8429] ILO - Modelled Estimates
[XA_8432] ILO - Modelled Estimates
[XA_8434] ILO - Modelled Estimates
[XA_8435] ILO - Modelled Estimates
[XA_8436] ILO - Modelled Estimates
[XA_8438] ILO - Modelled Estimates
[XA_8440] ILO - Modelled Estimates
[XA_8441] ILO - Modelled Estimates
[XA_8442] ILO - Modelled Estimates
[XA_8443] ILO - Modelled Estimates
[XA_8444] ILO - Modelled Estimates
[XA_8446] ILO - Modelled Estimates
[XA_8447] ILO - Modelled Estimates
[XA_8448] ILO - Modelled Estimates
[XA_8449] ILO - Modelled Estimates
[XA_8450] ILO - Modelled Estimates
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (85)
Source [source] (85)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 255 series:
[X01.XA_8405.SEX_F.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Female – Annual
- from
- 2005=133,717.229
- to
- 2023=142,856.322
- min:
- 133,284.315
- max:
- 154,662.384
- avg:
- 139,632.078
- σ:
- 5,622.243
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=100,762.573
- to
- 2023=103,399.404
- min:
- 99,732.676
- max:
- 117,517.301
- avg:
- 103,907.669
- σ:
- 4,170.388
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=234,479.802
- to
- 2023=246,254.901
- min:
- 233,137.208
- max:
- 272,179.686
- avg:
- 243,539.704
- σ:
- 9,605.041
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=16,419.549
- to
- 2023=28,955.176
- min:
- 16,419.549
- max:
- 28,955.176
- avg:
- 22,096.599
- σ:
- 4,226.163
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=11,535.316
- to
- 2023=21,995.823
- min:
- 11,535.316
- max:
- 21,995.823
- avg:
- 15,859.978
- σ:
- 3,409.192
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=27,954.865
- to
- 2023=50,950.176
- min:
- 27,954.865
- max:
- 50,950.176
- avg:
- 37,956.534
- σ:
- 7,627.393
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=36,639.639
- to
- 2023=50,709.696
- min:
- 36,639.639
- max:
- 50,709.696
- avg:
- 43,000.257
- σ:
- 3,584.75
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=37,279.558
- to
- 2023=38,772.29
- min:
- 37,279.558
- max:
- 42,566.894
- avg:
- 39,324.969
- σ:
- 1,311.563
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=73,919.197
- to
- 2023=89,481.984
- min:
- 73,919.197
- max:
- 89,481.984
- avg:
- 82,325.226
- σ:
- 4,199.112
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=63,424.672
- to
- 2023=47,920.2
- min:
- 47,920.2
- max:
- 63,424.672
- avg:
- 57,088.175
- σ:
- 3,724.461
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[X01.XA_8405.SEX_F.A] | 133717.229 | 133284.315 | 133404.532 | 133354.771 | 135508.329 | 137332.678 | 136903.176 | 136710.635 | 137334.413 | 137511.346 | 139156.948 | 141871.548 | 141762.199 | 141537.767 | 141289.367 | 154662.384 | 150993.405 | 143818.114 | 142856.322 |
[X01.XA_8405.SEX_M.A] | 100762.573 | 101241.508 | 99732.676 | 100121.072 | 101990.681 | 102677.417 | 102018.758 | 105436.787 | 101654.266 | 102154.133 | 102383.731 | 103614.499 | 103860.124 | 103432.847 | 103389.081 | 117517.301 | 111985.725 | 106873.13 | 103399.404 |
[X01.XA_8405.SEX_T.A] | 234479.802 | 234525.823 | 233137.208 | 233475.843 | 237499.01 | 240010.095 | 238921.934 | 242147.421 | 238988.679 | 239665.48 | 241540.679 | 245486.047 | 245622.323 | 244970.614 | 244678.448 | 272179.686 | 262979.13 | 250691.244 | 246254.901 |
[X02.XA_8402.SEX_F.A] | 16419.549 | 16759.121 | 17111.211 | 17507.657 | 18034.319 | 18538.908 | 19182.027 | 20374.317 | 20748.31 | 21084.596 | 22140.42 | 23166.827 | 24161.799 | 24849.423 | 26069.46 | 28100.617 | 28180.65 | 28450.986 | 28955.176 |
[X02.XA_8402.SEX_M.A] | 11535.316 | 11838.775 | 12079.948 | 12388.602 | 12636.835 | 12952.557 | 13321.319 | 14099.454 | 14611.403 | 14947.39 | 15873.44 | 16603.708 | 17231.992 | 17856.01 | 18782.007 | 20178.586 | 20712.155 | 21694.267 | 21995.823 |
[X02.XA_8402.SEX_T.A] | 27954.865 | 28597.897 | 29191.158 | 29896.259 | 30671.154 | 31491.465 | 32503.346 | 34473.772 | 35359.713 | 36031.986 | 38013.86 | 39770.534 | 41393.791 | 42705.434 | 44851.466 | 48279.204 | 48892.805 | 50145.254 | 50950.176 |
[X03.XA_8403.SEX_F.A] | 36639.639 | 37217.207 | 38621.559 | 39825.733 | 40802.147 | 42027.026 | 42167.11 | 40837.699 | 41880.04 | 42781.514 | 43364.922 | 44292.133 | 44419.407 | 44313.241 | 44769.298 | 46933.768 | 47078.55 | 48324.196 | 50709.696 |
[X03.XA_8403.SEX_M.A] | 37279.558 | 38232.964 | 38250.346 | 39412.882 | 39072.775 | 39688.175 | 39863.324 | 42566.894 | 38492.316 | 38943.555 | 39184.322 | 38822.494 | 39036.364 | 38345.794 | 38378.146 | 42498.028 | 40559.455 | 39774.738 | 38772.29 |
[X03.XA_8403.SEX_T.A] | 73919.197 | 75450.171 | 76871.904 | 79238.616 | 79874.922 | 81715.201 | 82030.433 | 83404.593 | 80372.356 | 81725.069 | 82549.244 | 83114.627 | 83455.771 | 82659.035 | 83147.444 | 89431.796 | 87638.005 | 88098.934 | 89481.984 |
[X04.XA_8401.SEX_F.A] | 63424.672 | 62168.561 | 60801.519 | 59394.387 | 59533.734 | 59457.379 | 57608.209 | 57207.753 | 56093.163 | 54986.177 | 55347.747 | 56417.724 | 55832.565 | 55337.159 | 53749.07 | 60823.129 | 58042.982 | 50529.19 | 47920.2 |
Loading chart
Search filters
Reference area [ref_area] (85)
Source [source] (85)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 255 series:
[X01.XA_8405.SEX_F.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Female – Annual
- from
- 2005=133,717.229
- to
- 2023=142,856.322
- min:
- 133,284.315
- max:
- 154,662.384
- avg:
- 139,632.078
- σ:
- 5,622.243
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=100,762.573
- to
- 2023=103,399.404
- min:
- 99,732.676
- max:
- 117,517.301
- avg:
- 103,907.669
- σ:
- 4,170.388
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=234,479.802
- to
- 2023=246,254.901
- min:
- 233,137.208
- max:
- 272,179.686
- avg:
- 243,539.704
- σ:
- 9,605.041
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=16,419.549
- to
- 2023=28,955.176
- min:
- 16,419.549
- max:
- 28,955.176
- avg:
- 22,096.599
- σ:
- 4,226.163
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=11,535.316
- to
- 2023=21,995.823
- min:
- 11,535.316
- max:
- 21,995.823
- avg:
- 15,859.978
- σ:
- 3,409.192
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=27,954.865
- to
- 2023=50,950.176
- min:
- 27,954.865
- max:
- 50,950.176
- avg:
- 37,956.534
- σ:
- 7,627.393
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=36,639.639
- to
- 2023=50,709.696
- min:
- 36,639.639
- max:
- 50,709.696
- avg:
- 43,000.257
- σ:
- 3,584.75
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=37,279.558
- to
- 2023=38,772.29
- min:
- 37,279.558
- max:
- 42,566.894
- avg:
- 39,324.969
- σ:
- 1,311.563
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=73,919.197
- to
- 2023=89,481.984
- min:
- 73,919.197
- max:
- 89,481.984
- avg:
- 82,325.226
- σ:
- 4,199.112
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=63,424.672
- to
- 2023=47,920.2
- min:
- 47,920.2
- max:
- 63,424.672
- avg:
- 57,088.175
- σ:
- 3,724.461
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[X01.XA_8405.SEX_F.A] | 133717.229 | 133284.315 | 133404.532 | 133354.771 | 135508.329 | 137332.678 | 136903.176 | 136710.635 | 137334.413 | 137511.346 | 139156.948 | 141871.548 | 141762.199 | 141537.767 | 141289.367 | 154662.384 | 150993.405 | 143818.114 | 142856.322 |
[X01.XA_8405.SEX_M.A] | 100762.573 | 101241.508 | 99732.676 | 100121.072 | 101990.681 | 102677.417 | 102018.758 | 105436.787 | 101654.266 | 102154.133 | 102383.731 | 103614.499 | 103860.124 | 103432.847 | 103389.081 | 117517.301 | 111985.725 | 106873.13 | 103399.404 |
[X01.XA_8405.SEX_T.A] | 234479.802 | 234525.823 | 233137.208 | 233475.843 | 237499.01 | 240010.095 | 238921.934 | 242147.421 | 238988.679 | 239665.48 | 241540.679 | 245486.047 | 245622.323 | 244970.614 | 244678.448 | 272179.686 | 262979.13 | 250691.244 | 246254.901 |
[X02.XA_8402.SEX_F.A] | 16419.549 | 16759.121 | 17111.211 | 17507.657 | 18034.319 | 18538.908 | 19182.027 | 20374.317 | 20748.31 | 21084.596 | 22140.42 | 23166.827 | 24161.799 | 24849.423 | 26069.46 | 28100.617 | 28180.65 | 28450.986 | 28955.176 |
[X02.XA_8402.SEX_M.A] | 11535.316 | 11838.775 | 12079.948 | 12388.602 | 12636.835 | 12952.557 | 13321.319 | 14099.454 | 14611.403 | 14947.39 | 15873.44 | 16603.708 | 17231.992 | 17856.01 | 18782.007 | 20178.586 | 20712.155 | 21694.267 | 21995.823 |
[X02.XA_8402.SEX_T.A] | 27954.865 | 28597.897 | 29191.158 | 29896.259 | 30671.154 | 31491.465 | 32503.346 | 34473.772 | 35359.713 | 36031.986 | 38013.86 | 39770.534 | 41393.791 | 42705.434 | 44851.466 | 48279.204 | 48892.805 | 50145.254 | 50950.176 |
[X03.XA_8403.SEX_F.A] | 36639.639 | 37217.207 | 38621.559 | 39825.733 | 40802.147 | 42027.026 | 42167.11 | 40837.699 | 41880.04 | 42781.514 | 43364.922 | 44292.133 | 44419.407 | 44313.241 | 44769.298 | 46933.768 | 47078.55 | 48324.196 | 50709.696 |
[X03.XA_8403.SEX_M.A] | 37279.558 | 38232.964 | 38250.346 | 39412.882 | 39072.775 | 39688.175 | 39863.324 | 42566.894 | 38492.316 | 38943.555 | 39184.322 | 38822.494 | 39036.364 | 38345.794 | 38378.146 | 42498.028 | 40559.455 | 39774.738 | 38772.29 |
[X03.XA_8403.SEX_T.A] | 73919.197 | 75450.171 | 76871.904 | 79238.616 | 79874.922 | 81715.201 | 82030.433 | 83404.593 | 80372.356 | 81725.069 | 82549.244 | 83114.627 | 83455.771 | 82659.035 | 83147.444 | 89431.796 | 87638.005 | 88098.934 | 89481.984 |
[X04.XA_8401.SEX_F.A] | 63424.672 | 62168.561 | 60801.519 | 59394.387 | 59533.734 | 59457.379 | 57608.209 | 57207.753 | 56093.163 | 54986.177 | 55347.747 | 56417.724 | 55832.565 | 55337.159 | 53749.07 | 60823.129 | 58042.982 | 50529.19 | 47920.2 |
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