This platform reaches the end of its life by end of 2023.

The data is being progressively migrated to our new data dissemination platform OECD Data Explorer, which we would invite you to discover.

Try it
Sector of employment
Function
Gender
MeasureInformation on item
UnitFull time equivalent
Year2012201320142015201620172018201920202021
Country
Austria
(DE65 088.2
(D66 186.1
(DE70 138
(D71 396
(DE75 164.9
(D76 010
(DE80 198
(D83 659.9
(DE82 052.6
(DE87 049
Belgium67 00567 898.47172 795
(B77 520
(E79 109
82 686.1688 593.8293 524.32
(E96 828
(DP119 466
Canada231 230232 910
(B236 470
244 880228 590231 850250 760256 120....
Chile
(D14 631.3
(D13 228.332
(D15 886.507
(D15 261.451
(D16 625.563
(D16 608.02
(DE16 848.018
(DE16 422.46
(DE16 347.662
..
Czech Republic60 329.44461 975.85664 443.45266 433.465 782.99569 735.65374 969.48979 245.00580 958.077
(P84 670.515
Denmark57 734.157 74458 36160 24362 85960 24059 778
(P62 229
(P62 049
(P62 169
Estonia5 8555 8585 789.95 6365 7726 0486 183.16 394.36 449.2
(P6 783
Finland54 046.61652 972.152 130.250 367.247 429.348 998.550 011.351 493.553 519.156 488
France
(m411 780
(m416 687.349
(B423 902.746
426 428.21432 245442 222453 387461 891.359
(EP470 585.876
501 053
GermanyInformation on item591 261588 615605 252640 516657 894686 349707 703.672735 584.41733 831.176
(P752 219
Greece
(D37 361.2
(D42 187.62
(D43 316.11
(D49 658
(D41 790
(D47 584.86
(D51 279.07
(D53 932.45
(D58 103.29
(DP60 536.52
Hungary35 73238 16337 32936 84735 75740 432
(D54 654
(D56 943
(D59 628
(D61 149
Iceland..
(B2 736.28
..2 941.32..3 172......4 414
Ireland
(E29 284
(E31 870
(E33 494
(E34 346.4
(E34 373.498
(E33 803
(E31 395.804
32 170
(E32 757
..
IsraelInformation on item
(DE77 143.331
..................
Italy
(D240 179.2
(D246 764
(D249 467
(D259 167
(BD290 040
(D317 628
(D345 625
(D355 854
(D342 286.2
(D357 696.1
Japan
(D851 132
(BD865 523
(D895 285
(D875 005
(D872 340
(D890 749
(BD896 901
(D903 367
(D911 620
(D942 024
Korea395 989.993401 443.71430 868.037442 027.053447 408.202471 201.189501 174.528525 674.914545 434.827577 099.353
Lithuania10 41611 08011 79110 60710 92411 577.111 955.812 99814 245.414 890.7
Latvia
(D5 593
(D5 396
(D5 739
(D5 570
(D5 120
(D5 378
(D5 806
(D5 924
(D6 559
(DP7 054
Luxembourg
(B4 743.258
4 974.5895 242.65 2605 403.25 5455 467.65 790
(EP5 561.5
(P6 028.1
Mexico58 849.40459 073.09552 237.47657 016.41665 827.653
(E65 411.868
(E64 602.23
(E66 889.342
(E69 988
..
Netherlands
(B122 215.084
(B135 555
136 174139 382144 482150 399156 875160 422166 422
(P172 436
New Zealand..24 900..33 000..34 000..39 000....
Norway37 70738 53640 29742 40943 91846 23446 60148 72348 947
(P51 660
Poland90 715.593 750.8104 359.2109 249111 789
(D144 103
(D161 993.1
(D164 006
(D173 391.6
(DP185 313.4
Portugal47 554.246 711.17646 877.55447 999.21750 406.28954 994.83258 154.09361 455.20166 044.00169 768.77
Slovak Republic
(D18 126.6
(D17 166.3
(D17 594
(D17 591.1
(D17 768
(D19 011
(D20 268
(D21 196
(D22 404.521
(D22 358
Slovenia14 97415 22914 86614 22514 403
(D14 713
(D15 686
(D16 983
(D16 833.4
(DP17 451
Spain
(D208 831.38
(D203 302.027
(D200 232.64
(D200 866
(D205 872.886
(D215 744.473
(D225 696.4
(D231 413.3
(D231 769.1
(DP249 473
Sweden
(E81 272
(E80 957
(E83 473
(E83 551
(E90 690
(v88 928
(E92 011
(Ev92 172
95 46398 393
Switzerland75 476....81 451..78 908..85 853....
Türkiye
(E105 121.762
(E112 969.069
(E115 444.147
(E122 288.396
136 953153 552172 119.4182 846.935199 371.366221 811
United Kingdom
(E356 484.4
(E377 342.9
(E396 280.8
414 539
(E423 815
444 619........
United States................
(E2 415 108
..
Non-OECD EconomiesArgentina72 32374 86676 90478 72581 03080 00983 85686 069.2385 651.36..
China (People's Republic of)3 246 8403 532 816.83 710 5803 758 847.63 878 056.84 033 597.24 381 443.7......
Romania31 13532 50731 39131 33132 23232 58631 93331 66533 189
(P34 270
Russia828 401826 733829 190833 654802 317778 155758 462753 796748 721..
Singapore39 445.9841 566.3742 521.4445 454.0445 095.6844 515.244 815.548 714.5349 333.79..
South Africa35 050.337 956.4838 46541 054.542 53344 259.343 774.2941 856.2....
Chinese Taipei228 731.084233 761.454239 973.912245 401.496250 495.084255 229.402262 306.94271 579.179279 646.817287 409.971
Legend:
BBreak
DDifference in methodology
EEstimated value
mUnderestimated or based on underestimated data
PProvisional value
vThe sum of the breakdown does not add to the total (see source and methods)
Data extracted on 26 Sep 2023 00:42 UTC (GMT) from OECD.Stat

Information

Please check the i to get information