Spreadsheet: 50f4d62c-d695-4672-aaa8-b255feac4b03
Sheet: Sheet1

Data Source | World Development Indicators | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40 | Unnamed: 41 | Unnamed: 42 | Unnamed: 43 | Unnamed: 44 | Unnamed: 45 | Unnamed: 46 | Unnamed: 47 | Unnamed: 48 | Unnamed: 49 | Unnamed: 50 | Unnamed: 51 | Unnamed: 52 | Unnamed: 53 | Unnamed: 54 | Unnamed: 55 | Unnamed: 56 | Unnamed: 57
Country Name | Country Code | Indicator Name | Indicator Code | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014
Aruba | ABW | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Andorra | AND | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Afghanistan | AFG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19.04176868482269 | 18.79606867804626 | 18.45018380928054 | 18.20418159309639 | 18.08117989848866 | 17.83517768230452 | 17.58917546612038 | 17.34317324993611 | 17.09716986072089 | 16.95331686983761 | 16.60470895324139 | 16.60470895324139 | 16.72862516792704 | 16.8525413826127 | 16.97645641554577 | 17.22428766316461 | 17.49379733052588 | 17.88819828388857 | 18.28358150532312 | 18.67994947687819 | 19.22596743058088 | 19.52440561145296 | 19.69887128033493
Angola | AGO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.35171350000387 | 86.85939526871259 | 88.3904977606017 | 92.91443471186696 | 93.03882575544795 | 91.86666870117188 | 90.82447582912343 | 90.17264113416773 | 89.65516857571855 | 89.52254460741959 | 89.52254460741959 | 89.38992063912065 | 87.71466869579676 | 87.71466869579676 | 86.56125906116233 | 84.40366834873313 | 82.39896124844358 | 80.3896123712713 | 79.40414722834554 | 80.41504698707683 | 81.42857241940196 | 81.6883136699726 | 82.05461277251895
Albania | ALB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.21821008881764 | 71.97874975607223 | 71.97874975607223 | 71.71314450396882 | 71.40957838056767 | 71.02803695478994 | 70.6434341030466 | 70.7219242882581 | 70.52489821484498 | 70.09472011840317 | 70.02724857949303 | 69.95884627230826 | 70.06896446491103 | 69.9859738991255 | 70.14285496303015 | 70.1015938568869 | 70.05899389670972 | 69.91017758899731 | 69.54545685739227 | 69.47852968922844 | 69.21898721369627 | 69.06584435895682 | 68.80733784416414
Andean Region | ANR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Arab World | ARB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.75313216032474 | 26.57718949993044 | 26.776854590803 | 26.58848110386345 | 27.18759388521299 | 27.51751365577567 | 27.82113259640371 | 27.96069660505808 | 28.19304737104204 | 28.5852839296928 | 28.59532072116169 | 28.36552005681741 | 28.06302255352895 | 28.71751221247303 | 29.11952617428306 | 29.45115310025345 | 29.94988079540923 | 30.97263809701447 | 31.27352382071664 | 31.49141525852095 | 31.89082415465321 | 32.08641022240801 | 32.2465328419685
United Arab Emirates | ARE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.38225538265048 | 28.58707503730713 | 29.80349311334685 | 31.12078335865531 | 32.57329044194242 | 33.91115731546491 | 34.45286910687149 | 35.14100064891228 | 35.72204350809341 | 36.19565134463097 | 36.77910628493566 | 37.17391387276033 | 37.52711455461795 | 38.02816610356834 | 38.93709621924595 | 40.34896535589171 | 43.1718055566526 | 46.05116888008212 | 48.93378139258288 | 50.33632630271487 | 51.62011258428995 | 51.49833774881373 | 51.20878953200121
Argentina | ARG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.76705483954017 | 52.39327089402881 | 52.21353760506562 | 52.7486890473552 | 53.08804511949828 | 54.13929249545275 | 54.76190788555463 | 55.24567966554683 | 55.94125590424976 | 56.5683667910245 | 57.20053600858436 | 58.45737465622565 | 59.64674244023907 | 60.92896220426975 | 63.87434327541278 | 63.66013171626079 | 63.44647446767294 | 64.16337257428741 | 64.67463318622356 | 65.415549913167 | 62.7503325000079 | 63.01735621010809 | 63.066665649414
Armenia | ARM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.82101321330016 | 77.89336844905125 | 79.100529687882 | 79.4392507180951 | 79.14438281770673 | 78.95442725285234 | 78.8694428899283 | 79.02571085256055 | 78.94021695469188 | 79.0983660379364 | 79.04109693553356 | 79.09216287991919 | 78.13369928923376 | 77.18309751698662 | 76.06838154886277 | 74.71264531612715 | 73.16017103934817 | 71.49059712986808 | 69.85507356947754 | 72.88629899731292 | 70.401105639568 | 70.46702896507891 | 70.29972398015319
American Samoa | ASM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
[NAME] and [NAME] | ATG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Australia | AUS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.08850904289889 | 69.51871374125298 | 69.9865381752091 | 70.18969796076004 | 71.4092121730397 | 72.70270167170338 | 72.99864513541702 | 73.36065983842781 | 73.79972306031014 | 74.34482969086744 | 75.55248564930947 | 76.52777565850153 | 76.9123756098342 | 78.07262949325793 | 77.79329881280871 | 78.94737175800911 | 79.66804431928817 | 80.05502504267534 | 80.6318657997943 | 81.21546684780499 | 81.10344722353172 | 81.49171098968947 | 81.78024755103331
Austria | AUT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.69297257205179 | 62.32091418068286 | 64.14285932268415 | 65.09298856474938 | 68.18181670401711 | 68.31683355293464 | 68.62464101951443 | 69.20863089801598 | 69.60926126812465 | 69.99999889429057 | 70.30567886844182 | 71.44948324538115 | 73.06002825221638 | 73.93850328488428 | 75.33632343249302 | 76.07726365712581 | 76.95716517380707 | 76.74418153345052 | 78.07017592781075 | 79.5588212854722 | 79.61595857542855 | 79.91137505586813 | 80.6499275263834
Azerbaijan | AZE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.3790697749706 | 76.58673916564118 | 76.77329567659524 | 77.178418923599 | 77.70083219579267 | 78.16411623122356 | 78.3031961644625 | 78.44228140326102 | 78.58136133650011 | 78.83007808971873 | 80.13985907281189 | 81.32023034771821 | 82.48587430594604 | 83.64153155693248 | 84.935442403104 | 86.1271692232857 | 87.33624842109282 | 88.5630560536787 | 89.95569316264222 | 90.17595711429884 | 91.69139145098055 | 91.33627335773924 | 90.71117360792066
Burundi | BDI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 100.4424795565566 | 100.444940510667 | 100.5599103951992 | 100.7900729003299 | 100.9101199186302 | 101.033296833118 | 101.04286658709 | 101.1709601664316 | 101.0650905631703 | 101.1890606636666 | 101.1933173789771 | 101.3189429904024 | 101.4475234332385 | 101.5757612748579 | 101.7031649365637 | 101.8315017973791 | 101.8359853806975 | 101.840490797546 | 101.9656000542118 | 101.8427518082086 | 101.840490797546 | 101.7135882229785 | 101.711483917181
Belgium | BEL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.90179932594111 | 61.72638531597558 | 63.33879170116655 | 65.12396946426264 | 65.46645008009615 | 66.12111707824398 | 66.33826028511885 | 67.4917533922794 | 68.59504132231406 | 70.42483323010168 | 71.00976773713036 | 69.15423099592778 | 70.9570974962366 | 72.25913529685467 | 73.43234508331462 | 74.38825292277075 | 75.32894705884011 | 76.26841184596515 | 77.26524042239186 | 77.90697829152124 | 78.54785424532382 | 78.78787547955038 | 78.95622949680548
Benin | [NAME] | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.98210266963098 | 63.98210266963098 | 64.31767228030225 | 65.80135467393848 | 67.50285384602407 | 69.12442153282267 | 70.86246745280842 | 72.64150502037536 | 74.55197586741295 | 76.51331952837785 | 78.62407715023562 | 80.79801186722871 | 83.01647494710916 | 83.50253870997787 | 83.75634193395851 | 84.11689900290499 | 84.3710344354238 | 84.73282413109591 | 84.9872828862097 | 85.35031847133759 | 85.8418389565246 | 85.96938802817621 | 86.20689319179363
[NAME] | BFA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.97365673033624 | 84.36122896433999 | 84.56449782684217 | 84.56449782684217 | 84.7682167165763 | 84.7682167165763 | 84.6578347020069 | 84.75137784336155 | 84.75137784336155 | 84.75137784336155 | 84.95575415424321 | 84.95575415424321 | 85.0663719334835 | 85.0663719334835 | 85.0663719334835 | 85.0663719334835 | 85.17698971272377 | 85.28760749196402 | 85.28760749196402 | 85.39822527120431 | 85.49279550300017 | 85.58758266094006 | 85.57158688106536
Bangladesh | BGD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.56031892418486 | 69.98867168876076 | 69.12599611879443 | 68.37314838547172 | 67.5799107238894 | 66.70480345449195 | 65.90126582256305 | 65.20736922137111 | 64.43418039289614 | 63.73116808236281 | 63.02325670109244 | 63.51981126052355 | 63.9018711892578 | 64.40280915373667 | 64.78873561048685 | 65.29411764705883 | 65.80188352470093 | 66.23376681867207 | 66.62721803202426 | 67.0616083540784 | 67.57720141112993 | 67.89536208100132 | 68.13317512091587
Bulgaria | BGR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.55980998062284 | 88.04523207841095 | 88.7070411072038 | 87.89386512533503 | 86.91275262289237 | 85.90831436886971 | 84.73413751689384 | 83.535528813889 | 81.99300856699624 | 80.56537050079697 | 79.06976664835531 | 82.2183123067174 | 82.23801041649514 | 79.99999863760803 | 80.42327664998264 | 79.21847083216716 | 80.37866091122294 | 79.9666115286899 | 78.67528200718897 | 78.55974009611538 | 79.83193277310924 | 80.96055125320673 | 81.2925167640701
Bahrain | BHR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31.74061334949599 | 33.02961160821896 | 33.82687896426548 | 34.54960124450474 | 35.38812847029678 | 36.11428615025109 | 36.88430657195853 | 37.77267749970633 | 38.62068790128862 | 39.44636905045807 | 40.39351957120683 | 41.39534706293151 | 41.81389795285106 | 42.4820968707284 | 43.18455799531537 | 43.52517814498679 | 43.89086436602268 | 44.19695124754466 | 44.54756715239299 | 44.76409763271919 | 45.06880804180202 | 45.13172983799291 | 45.18348956968987
Bahamas, The | BHS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.61209295523436 | 81.81817490828102 | 82.12083813463089 | 82.29548262533515 | 82.66666296756631 | 83.60049855413091 | 84.86759200731959 | 86.5885382259473 | 88.75338386376922 | 88.3221517473259 | 87.89893770822312 | 87.71466869579676 | 87.41807900452707 | 87.2395798667439 | 87.06338990270893 | 87.01798752270435 | 86.95652513261194 | 87.02290439407513 | 87.08861145792126 | 87.13744743366614 | 87.26354890941998 | 87.26354890941998 | 87.38966000609966
Bosnia and Herzegovina | BIH | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.26086823836609 | 63.29787198065715 | 64.25992327363265 | 64.96350176962284 | 64.78102279970805 | 62.8975255015215 | 58.99159407415311 | 57.88590752226317 | 57.60134803151632 | 57.48299264561388 | 57.28988329839802 | 57.16752608258011 | 56.94444462840931 | 56.64335855546213 | 56.33802892574838 | 56.10619604060089 | 55.59502604123786 | 54.13793037677637 | 55.57461740974205 | 57.2425823277256 | 59.44055864773513 | 59.44055864773513 | 59.61538115260806
Belarus | BLR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.21248217528316 | 79.83871009090976 | 79.70027082271169 | 79.41988782893465 | 79.27170485228415 | 79.37410642212662 | 79.47977229122853 | 79.73568348565414 | 80.11957735664181 | 80.51750986769906 | 80.79877067129416 | 80.95975305326361 | 81.12324686090876 | 81.13207501902251 | 81.01265845706001 | 80.89171951308181 | 80.89887984444367 | 80.64516129032258 | 80.51948003693322 | 80.39215710718297 | 80.2269033839826 | 79.90353722399334 | 79.58532841896489
Belize | BLZ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.7424042103132 | 43.94125197902017 | 44.14303318203419 | 44.12855388082967 | 43.8423643005959 | 42.84009572613716 | 42.04413635828352 | 43.3918110808434 | 44.64075482298591 | 46.08076085906617 | 47.48804005687738 | 49.03614549751747 | 50.60679610526829 | 52.20048798277143 | 53.87453578467423 | 55.44554151608523 | 56.36588085790607 | 57.19556980876966 | 58.03680887982883 | 58.65853472453792 | 59.43970784901153 | 59.61070780921462 | 59.65977722168797
Bermuda | BMU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Bolivia | BOL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.94317217136265 | 62.1065377539117 | 63.39393846916423 | 64.56310652643772 | 65.73511113978702 | 67.03163080263275 | 69.74483523382193 | 72.53948790912517 | 72.62774085080565 | 72.80487897919453 | 73.07221908558952 | 73.43941522789851 | 73.80661137020749 | 74.14215824916613 | 74.50980437988957 | 74.96932328113019 | 75.55282413655455 | 76.72413987499436 | 77.18865555108079 | 78.02469229992532 | 78.73918363593931 | 78.98640336296914 | 79.23361837467495
Brazil | BRA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.22482163610488 | 56.9428249414441 | 61.74418427223384 | 61.91588895416061 | 62.91079858451444 | 63.91509293915762 | 62.96743040064266 | 63.94231095469226 | 64.73429528814879 | 66.62636095211157 | 66.86967423414026 | 67.1165653533 | 68.78825319729546 | 69.53316635519555 | 70.41564342934745 | 71.74178151104947 | 71.84822883179123 | 71.92118684820115 | 71.86732052013724 | 72.53695041814156 | 73.24291324719736 | 73.4567901234568 | 73.547588229608
Barbados | BRB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.02188408936345 | 80.47808236138772 | 80.39473483436987 | 81.07753219459194 | 81.7345624311563 | 82.11488613427235 | 85.84906116286378 | 83.37766397263812 | 83.68699893522393 | 83.37730635681537 | 83.57424408589075 | 83.87941997405407 | 82.98152901514989 | 84.39153508567875 | 84.55497013601394 | 85.078532332205 | 85.58322469195946 | 85.84534387969597 | 85.99475868595067 | 85.78879487591139 | 85.91917098816675 | 85.91917098816675 | 85.91917098816675
[NAME] | BRN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.78787971265394 | 56.56934516588736 | 58.06845749130968 | 59.45946021940976 | 60.86419658896358 | 62.40694812570094 | 63.9303489432577 | 65.37982316907366 | 66.83291834625923 | 68.24999809265138 | 69.63613817456246 | 70.95959965713968 | 70.97591751203225 | 70.9554149846363 | 70.84399448576218 | 70.82261736861999 | 70.80103121023579 | 70.55772062581617 | 70.44270354737031 | 70.41884576250548 | 70.30223531238762 | 70.18469475075541 | 69.97354840422025
Bhutan | BTN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.25224390657048 | 62.45210679437019 | 61.2738834065237 | 60.10165320357991 | 59.3155872395139 | 59.03919300101909 | 59.72222356014913 | 60.78183973269227 | 62.62626311278152 | 64.77272880526174 | 67.38305975378557 | 70.46894473872032 | 73.66412550878404 | 76.88377830987586 | 79.61538265912962 | 81.82989851626954 | 83.65758920429768 | 84.98694487065139 | 86.07096098993252 | 86.88741519751139 | 86.71052832352487 | 86.40522676355698 | 86.34590404206108
Botswana | BWA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.87841726598273 | 83.25062003030365 | 83.72670997003591 | 83.97515338400136 | 84.45273661347315 | 84.82586524117191 | 85.30510261107706 | 85.67870540106006 | 86.05229868992946 | 86.30137038362267 | 86.5671606383222 | 86.94029875531744 | 87.2049651530959 | 87.46898428619203 | 87.7323491067368 | 87.88627581345236 | 88.00988331930526 | 88.14815003194927 | 88.1627636809581 | 88.1773413363054 | 88.19187485466148 | 88.20639030200871 | 88.09816325369056
Sub-Saharan Africa (IFC classification) | CAA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Central African Republic | CAF | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.56372475982077 | 79.88505747126436 | 80.85351896375393 | 81.29330573477634 | 81.48148180853028 | 81.3657428358971 | 82.11381904901236 | 81.9976768005881 | 81.97674418604652 | 81.97674418604652 | 82.0721754920582 | 82.28437757925546 | 82.61377546432921 | 83.39181643480444 | 83.60655766995794 | 83.72365189985767 | 83.93903389508216 | 84.05626539630548 | 84.40796884416557 | 84.74178349102839 | 85.09389976157244 | 85.19389106927804 | 85.19389106927804
Canada | CAN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.18421253405118 | 77.2000020345052 | 77.74762769298479 | 78.00546564844123 | 77.94520756969712 | 78.56154472967141 | 78.88888782925069 | 79.30555343627931 | 80.1388899485271 | 80.60942274645963 | 81.30194355135444 | 81.94444444444444 | 82.55493949827513 | 83.46994675057611 | 83.83561748347877 | 83.88430138547074 | 84.76454757582852 | 85.49723787471628 | 85.41953381144208 | 86.21169762521824 | 86.43356536651817 | 86.53576174204439 | 86.51685549776121
East Asia and the Pacific (IFC classification) | CEA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Central Europe and the Baltics | CEB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.1089111578695 | 77.1632572978083 | 77.23870680732311 | 77.14761422603188 | 77.1452720822686 | 76.67443266445919 | 76.8837339492149 | 76.98972093755711 | 77.0200465848131 | 77.40201050593627 | 77.67976702038376 | 77.92084495058766 | 77.18450462572385 | 76.90853229760522 | 76.64881297961341 | 76.1643135290718 | 75.9368910514334 | 75.39561398959277 | 74.97711674885868 | 75.19131585650233 | 75.8106567968579 | 75.95206773096042 | 76.10468753479827
Europe and Central Asia (IFC classification) | CEU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Switzerland | CHE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.56521739130434 | 70.42079130792935 | 71.39303536879059 | 71.05590156886895 | 70.63990137116588 | 70.65490855921001 | 72.2433446104614 | 72.57653114598077 | 73.97959039688907 | 74.74358876546218 | 74.25997815852531 | 76.29534178008801 | 77.44459437979185 | 77.80678806965857 | 78.1002617143914 | 79.33333333333333 | 79.44297123829624 | 79.28759373938756 | 81.43236111846112 | 81.91489491218789 | 80.74368761349099 | 80.66225367666078 | 81.27489811769783
Channel Islands | CHI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Chile | CHL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.76394474734984 | 41.50454038042675 | 43.87096774193549 | 45.47770797826688 | 45.53571437260158 | 44.70283952456059 | 44.71968787718 | 46.13368198565041 | 46.52686576685812 | 46.90381786353839 | 47.45989111181694 | 46.82861198041486 | 46.93877551020408 | 49.11081022606073 | 51.16597867809276 | 52.46575237953493 | 53.06122448979592 | 54.421768707483 | 56.89188982989338 | 58.11732155596345 | 62.98788333085176 | 65.02002639627855 | 65.68364745610312
China | CHN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.73112539143384 | 85.61320266676121 | 85.4952799420886 | 85.37735721741598 | 85.25943449274335 | 85.24203016484357 | 85.20710059171599 | 85.05337408377133 | 85.00000181652251 | 85.04784661704335 | 85.07821690304786 | 84.8300973682941 | 84.45532751208329 | 84.30160155982924 | 83.91521896838783 | 83.64779874213836 | 83.29114310349088 | 82.95165167173532 | 82.5031876836828 | 82.28497717400768 | 81.82989851626954 | 81.8766044527813 | 81.69014146421657
Cote d'Ivoire | CIV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.48689057707975 | 50.51664841655899 | 51.56069187759665 | 52.6193247497466 | 53.87324315722981 | 55.02958579881657 | 56.20524672896552 | 57.52105910320362 | 58.73786484175996 | 59.17375328930725 | 59.61070780921462 | 59.97567039826362 | 60.34063298731274 | 60.70560021711287 | 61.19221545559454 | 61.55717804464366 | 61.99756695723105 | 62.43902532065793 | 62.8815617100165 | 63.20293256007222 | 63.64749319751204 | 63.84803853966281 | 64.04908069072332
Latin America and the Caribbean (IFC classification) | CLA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Middle East and North Africa (IFC classification) | CME | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Cameroon | CMR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.3467359561391 | 70.99621320356624 | 72.62357177301995 | 74.26751495166943 | 75.80025853976909 | 77.44845316480762 | 79.09091107257001 | 79.32379556516896 | 79.55728651852266 | 79.89556394523376 | 80.26143990310968 | 80.49738059124012 | 80.62826864375832 | 80.86500431865717 | 81.12712850599662 | 81.49606425352178 | 81.65137188107259 | 81.91349606841219 | 82.19895023927232 | 82.46073133736792 | 82.74509704190915 | 82.89817397509889 | 82.92047067099483
Congo, Rep. | COG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.53214735732276 | 82.57887448955539 | 83.4938147331066 | 84.66850544906302 | 85.99168004456159 | 86.92628466427004 | 87.60445522618816 | 88.68715272801474 | 89.38547676524321 | 90.4761864055519 | 91.04894891485468 | 91.74824961415537 | 92.44755031345608 | 93.01675962771537 | 93.71508366494383 | 94.14226342119089 | 94.15854730388983 | 94.04432741812188 | 94.06076939070118 | 93.93939171025283 | 93.81868157780065 | 93.82716062303163 | 93.82716062303163
Colombia | COL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.87968840093224 | 40.66924275752444 | 40.25640976734653 | 40.02557603394391 | 42.6395903208935 | 45.34004950650598 | 48.18523061921368 | 50.99502390780807 | 53.77008551240247 | 56.58056368179365 | 59.29095133323199 | 62.24116860395367 | 64.84848484848484 | 67.6328477488035 | 66.00985281845065 | 65.4320987654321 | 65.68877423172047 | 65.1670935400998 | 65.17856821374373 | 68.17042537027899 | 69.38519617883141 | 69.63613817456246 | 69.8870801702935
Comoros | COM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33.7468998484818 | 34.28571475958969 | 34.70149140426314 | 35.11830596664242 | 35.70536944605544 | 36.12499952316287 | 36.59147825345389 | 37.06030221795896 | 37.53148446394899 | 38.00505245112608 | 38.55878709021543 | 38.93805288395453 | 39.39394187518585 | 39.84867486177132 | 40.30226622800532 | 40.82914651131072 | 41.2280705108998 | 41.67709461967272 | 42.19725328456864 | 42.64339409515288 | 43.14214437744995 | 43.39152189683871 | 43.64089941622762
Cabo Verde | CPV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.00351435122148 | 49.64788820680023 | 50.11737358262953 | 50.64629758745273 | 51.17647058823529 | 51.88679058554342 | 52.42031065598562 | 53.08056685677172 | 53.68171306552894 | 54.28571246919178 | 54.89259943294847 | 55.50239518274908 | 56.11510597219657 | 56.6626639060411 | 57.28038429380313 | 57.83132530120481 | 58.31325485045651 | 58.91566448901072 | 59.51807412756494 | 60.12048376611916 | 60.6498224444305 | 60.8643444243783 | 61.19760296301928
Costa Rica | CRI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 39.16666848318916 | 40.50786122878091 | 40.19488503450093 | 40.99153902882877 | 42.18181725704302 | 42.92565777226252 | 41.71779141104295 | 44.98186473479694 | 47.24220720026382 | 47.21549724025583 | 45.52147052039398 | 51.77914204041657 | 51.72413987499442 | 51.73267036918898 | 50.31210986861719 | 54.6583850931677 | 54.79451846550936 | 55.6790104618779 | 56.25 | 57.6679329785262 | 58.42838730364343 | 58.60759397096265 | 58.73417914668215
South Asia (IFC classification) | CSA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Caribbean small states | CSS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.22477482356251 | 71.69982546911656 | 71.29075229167492 | 70.9377498108448 | 71.72481665826035 | 70.87243254080312 | 70.98217504980275 | 70.01362770404457 | 69.12179976133336 | 69.02071038722296 | 68.76706916694815 | 68.76296851785789 | 68.87347544816478 | 69.320350742406 | 69.94326528933169 | 70.84358813214139 | 71.34132883403515 | 71.28290116421032 | 72.08767607921315 | 71.76958230515376 | 72.37219235545739 | 72.54525526027247 | 73.06674119962479
Cuba | CUB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.40940321253425 | 48.96265564544569 | 49.51590280215086 | 50.00000000000006 | 50.55248301485003 | 50.96685186213599 | 51.5950090849055 | 52.08913640145489 | 52.73491846392583 | 53.24858635299663 | 53.70370712513757 | 54.38848811087841 | 55.08720907667253 | 55.73529636158662 | 56.4635932791499 | 57.58928946491836 | 58.86736348471636 | 60.79881568319144 | 60.67251326639023 | 61.19829166860303 | 61.48359402608601 | 61.62625064662121 | 61.76890182536254
[NAME] | CUW | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Cayman Islands | CYM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Cyprus | CYP | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.62711508251486 | 58.84831927217286 | 59.42856924874443 | 59.4936710898198 | 60.62767607004982 | 59.57142966134214 | 61.07954413068198 | 62.64367734193643 | 62.95224451602752 | 63.33333443904275 | 69.12378262613947 | 72.29917308772183 | 73.77964264638061 | 74.41540680206201 | 73.8419613572215 | 73.3242128494662 | 74.72527368879743 | 76.27586101663518 | 77.22222010294597 | 78.7114839802487 | 80.0841459048344 | 79.88668944030177 | 78.81355484726228
Czech Republic | CZE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.08781811523045 | 73.21177914262739 | 73.35202945095963 | 73.35202945095963 | 73.66946407565025 | 73.21177914262739 | 72.61236373440025 | 72.81690248301338 | 73.30508374122216 | 73.79603342798755 | 73.96280348262759 | 73.95683672788331 | 73.6311201017282 | 73.98255707574192 | 73.8686109111257 | 73.65356728071264 | 73.61516198728604 | 72.80701480425968 | 72.28739214530296 | 72.47437450696577 | 72.35294229844045 | 73.18518744574651 | 73.89379973312877
Germany | DEU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.35632539850706 | 66.48199726990241 | 66.90041896395617 | 67.42209561317371 | 67.85714285714286 | 68.63309462293454 | 69.26406621389388 | 70.08670829317425 | 70.56276965724975 | 72.03513699063191 | 72.67356422564353 | 73.55125966626107 | 74.5864638708588 | 75.72518851010855 | 76.06060721657501 | 75.97597542555928 | 77.17718123650035 | 77.96102305724378 | 78.2282277294131 | 78.94736842105263 | 79.48717697916045 | 80.45112781954887 | 80.57228730506696
Djibouti | DJI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 41.05263043166993 | 42.18512684881115 | 42.79210942334405 | 43.39908910356928 | 44.00606878379465 | 44.54545396747015 | 45.08320714822337 | 45.61933860291725 | 46.15384460477549 | 46.68674591508553 | 47.28915496529376 | 47.89156401550185 | 48.41628506270489 | 49.09365785229537 | 49.69788979235366 | 50.37821483475197 | 50.90634791008753 | 51.66163495396899 | 52.33785696186255 | 52.93233197434512 | 53.37331349766921 | 53.58209182967 | 53.64041134791332
Dominica | DMA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Denmark | DNK | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.67330346285337 | 82.95301911014832 | 83.80566768271808 | 84.0163969453237 | 81.09243737886065 | 79.31507058339575 | 79.8353903220139 | 80.19126121609641 | 82.72980362279341 | 82.53095257035045 | 83.68201192994745 | 83.87096308207832 | 83.07906074003435 | 83.40307082610909 | 84.30555661519375 | 84.73389174658742 | 85.4748632223218 | 85.51336222488165 | 85.69424384143105 | 86.32478790390962 | 86.54124537999292 | 87.00729704251256 | 87.55555329499423
Dominican Republic | DOM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.31316355593126 | 52.369668203604 | 52.92712168729756 | 53.42136659028724 | 53.54141277330956 | 54.04101135399289 | 54.73300684340011 | 55.50122228865039 | 56.28079123213416 | 57.19602896633157 | 57.92759352032938 | 58.40597726459519 | 59.1531733434476 | 59.50310748556385 | 60.04963082154286 | 60.86956521739131 | 61.89290021683449 | 62.79650461330726 | 63.48808081759542 | 63.89937010951006 | 64.6387820198865 | 64.84771128823098 | 65.05718265352878
Algeria | DZA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 13.25301207895596 | 13.54581593078301 | 13.83399181674577 | 14.13612562177322 | 14.41558491099961 | 14.83870967741935 | 15.12820537273705 | 15.28497494455352 | 15.42483685063386 | 15.56728194677989 | 15.82446822001961 | 16.08579121373954 | 16.48648622873662 | 16.89373209911772 | 17.2839507787895 | 17.79310292211076 | 18.33333306842375 | 19.02097955450308 | 19.69057707518195 | 20.36775140043104 | 20.53445948635821 | 20.6993009660628 | 20.86230831942481
East Asia & Pacific (developing only) | EAP | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.89860111075403 | 82.55723900768707 | 82.24888201159415 | 82.12457451480654 | 82.02629518334604 | 81.98247353722904 | 81.91687019992126 | 81.73929211198879 | 81.82819141890866 | 81.69250263430757 | 81.67964184749806 | 81.50890917323588 | 81.16390085387899 | 80.98610781617849 | 80.65043548710587 | 80.57496963871225 | 80.31600813152968 | 80.1804345540257 | 79.92771201781713 | 79.69219748164355 | 79.39316400421352 | 79.42550892608782 | 79.28942219070197
East Asia & Pacific (all income levels) | EAS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.04448472889719 | 80.75099467241859 | 80.45303424308946 | 80.31590700716106 | 80.25746035160033 | 80.25194119682453 | 80.23264501478282 | 80.13724326146622 | 80.19864044407939 | 80.11706846688625 | 80.17413631506442 | 80.09051352063291 | 79.79553529759383 | 79.67346685132814 | 79.4246093967981 | 79.41969734394084 | 79.22652203661349 | 79.12020335457991 | 78.93370922558165 | 78.77297244143833 | 78.5969306839725 | 78.58807833258282 | 78.51156806211148
Europe & Central Asia (developing only) | ECA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.85947256516596 | 69.82424864417261 | 69.71112266778961 | 68.77899543318647 | 69.42896760838364 | 69.29460941188094 | 69.28691511530066 | 69.10033327278899 | 69.20762498224342 | 69.50591671145237 | 69.07358785102114 | 69.42234581913874 | 69.60812391993987 | 69.2539820867421 | 68.35118731839628 | 67.75123577320801 | 67.74849481459644 | 67.63382258549282 | 67.52194554025009 | 67.71411821498297 | 67.94425178170937 | 68.10915326345373 | 68.26337048854525
Europe & Central Asia (all income levels) | ECS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.35427726759744 | 69.7965105891795 | 69.88573880821122 | 69.75023156197558 | 70.07682861976039 | 70.34803369902698 | 70.70535481873797 | 71.02954356650466 | 71.33637706489532 | 72.37229375902935 | 72.6505024637516 | 72.90514830121063 | 73.56285306312598 | 74.08371727175624 | 74.23257827733377 | 74.37071251264769 | 74.72172502548159 | 74.80703554386076 | 74.8472183586896 | 75.36264426619967 | 75.50616169718917 | 75.85033963952215 | 76.11026322704238
Ecuador | ECU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.78571337745298 | 47.79499135259525 | 49.22526637180279 | 50.77472908147821 | 51.84743648256364 | 53.22195328152266 | 54.4152706604998 | 55.36992820539714 | 56.44391111518978 | 58.4725515698799 | 59.54653903181713 | 65.54913382998787 | 64.63700208039475 | 64.01425591382298 | 67.88666124171957 | 65.28925764997699 | 65.96736184260722 | 64.44708887791205 | 63.265304720571 | 64.1212139707623 | 65.09091001568424 | 65.49636740135152 | 65.85956722859098
Egypt, Arab Rep. | EGY | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.58445008683288 | 29.79591784834054 | 31.02961851414047 | 29.33884254095828 | 29.81029687027363 | 28.4731796862063 | 27.58620689655172 | 26.59279996466391 | 25.76601561794374 | 25.81081132631041 | 26.40218828991234 | 27.33612442915204 | 25.48746303515997 | 25.85499317790176 | 26.20967688181729 | 26.75496789793311 | 27.86885309975436 | 30.65395031642758 | 30.84239298037645 | 31.12313873491014 | 31.44399421978108 | 31.49394166542595 | 31.63538989837459
Euro area | EMU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.51357734074126 | 63.26091124871762 | 63.85699415086054 | 64.46162853608993 | 65.24862749506414 | 66.04934090426558 | 66.71305472783325 | 67.3140930246022 | 67.83023557920397 | 68.9732204344788 | 69.63248141010799 | 69.99095280388545 | 70.7665529607525 | 72.00108971332546 | 72.68296144204528 | 73.26939860608587 | 74.09538248186051 | 74.80570387347876 | 75.48422984488002 | 76.43329111145364 | 77.03155424935483 | 77.71711175190069 | 78.2416433029425
Eritrea | ERI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.28260537852414 | 82.26332667995902 | 82.04570214794433 | 80.56460171287782 | 78.85032467956957 | 78.71878523469418 | 78.45483925679571 | 78.62595515113938 | 79.54047673364425 | 80.680572152676 | 82.89183194144599 | 83.40707992609278 | 84.66666327582467 | 85.95317848071787 | 86.7039089096325 | 87.36017577305437 | 87.80760476528219 | 88.03131499439701 | 88.81431786429526 | 88.8268156424581 | 88.74024657999831 | 88.96321713121485 | 88.9754997890447
Spain | ESP | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.05660157984929 | 50.0732053218544 | 51.94029736874701 | 53.46385419308181 | 55.55555813610514 | 56.92307692307692 | 57.75729547684713 | 58.76923194298384 | 59.11178663119838 | 59.99999883520687 | 61.57337625185274 | 60.6106881876939 | 62.57575641978863 | 64.46776906656697 | 66.12183949795187 | 67.35294005450073 | 69.2532900785034 | 70.46783580071003 | 72.3032063810211 | 74.88922163718931 | 76.37444159749765 | 77.99400612864213 | 79.09774206634752
Estonia | EST | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.24543244773591 | 81.10964861446357 | 79.89276098282558 | 78.50340239855714 | 77.178418923599 | 75.77464681276126 | 76.70454379201924 | 77.65042749747353 | 76.00575098510721 | 77.07100539960253 | 77.5112490680586 | 78.04511507650962 | 77.91411290615109 | 77.41455588650275 | 78.7742893287582 | 81.49846787995806 | 81.24077175667885 | 78.84058192156363 | 79.31034766252782 | 80.81394768586505 | 83.13609767972734 | 83.35766200601621 | 81.51383185968663
Ethiopia | ETH | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.9112111202534 | 80.44444613986545 | 81.09010043219374 | 80.24417788699975 | 80.04434522284008 | 79.6234762967478 | 78.98230123971751 | 78.87168346047723 | 79.18050673710157 | 79.06976645942541 | 80.42034924903214 | 81.65746024958995 | 82.80044211796036 | 84.03083754112353 | 85.24228956441705 | 86.24862509332159 | 86.43881385202002 | 86.62983594019768 | 86.80710166396928 | 87.09677610986259 | 87.17948674330991 | 87.37429826619241 | 87.47203088761178
European Union | EUU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.69545349121653 | 67.79698367614965 | 68.33533970313029 | 68.83684666854367 | 69.3837371878891 | 69.81970277034279 | 70.3734022919944 | 70.85746354169606 | 71.24813561443334 | 72.1380337600916 | 72.66867287195704 | 73.04492704865623 | 73.44583977838244 | 74.13143406315068 | 74.66543286374726 | 74.99327261352548 | 75.5352497441624 | 75.8437385559489 | 76.25665873615417 | 77.00241067306641 | 77.56813040619878 | 78.09107412711595 | 78.49321323621284
Fragile and conflict affected situations | FCS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.79899688792405 | 69.92522024827421 | 70.0668931961814 | 70.29228399671976 | 70.32389148970931 | 70.36906590965405 | 70.46249399976278 | 70.6932055971241 | 70.79721020608402 | 70.99878253928081 | 71.40180888794765 | 71.61781268669773 | 71.83761546633328 | 72.00934203310503 | 72.1216813554231 | 72.1400365168424 | 72.17598225389199 | 72.15381186057319 | 72.20782251441835 | 72.28551659694988 | 72.30520154262486 | 72.3194323246554 | 72.30522720922227
Finland | FIN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.89414587444222 | 81.79231508377902 | 81.80495379829485 | 81.71091302693176 | 81.76382588239541 | 81.967214978719 | 82.33532557982826 | 82.727270415335 | 82.93051972313822 | 83.98202980717508 | 84.35171350406276 | 84.52381222696805 | 85.73573540892583 | 85.34743595860579 | 85.82317156496671 | 86.85014971228193 | 86.81818066221287 | 87.27272496078955 | 86.46616541353383 | 88.11727744598026 | 86.9969072606919 | 86.26543039084397 | 87.09175325376458
Fiji | FJI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.8920861499505 | 37.07729424085782 | 39.34226533176106 | 41.89188923206585 | 44.36183468510067 | 47.11779077218076 | 49.87341965301126 | 50 | 50.12919699244141 | 50.39164392041327 | 50.6578947368421 | 50.86092917334953 | 50.99866846236807 | 51.20320544714262 | 51.34408599393942 | 51.62601205775101 | 51.91781030942315 | 52.28849037558745 | 52.08333333333334 | 52.08333333333334 | 51.94444656372069 | 51.94444656372069 | 52.08333333333334
France | FRA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.70552244153741 | 71.96262143156451 | 72.69890730642496 | 73.82444990181347 | 74.64567169429748 | 75.51342782493249 | 75.66719024434005 | 75.51342782493249 | 76.06973242588272 | 76.70364928095672 | 76.94753633029042 | 76.95999755859376 | 76.87400347119197 | 79.10685465802815 | 79.07348435553612 | 79.96794920779621 | 80.38585110402666 | 81.12903102751693 | 81.45161290322581 | 81.96457774003075 | 82.09677665464339 | 82.46753327177791 | 82.36246303277454
Faeroe Islands | FRO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Micronesia, Fed. [NAME]. | FSM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Gabon | GAB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.79190891649142 | 80.54755085997235 | 80.92485906015997 | 80.34682214755999 | 80.64047159655135 | 80.8199096581429 | 81.26843066962452 | 81.45400635458367 | 81.91330042924174 | 82.25564024502181 | 82.60211760140604 | 83.07927022513576 | 83.58896096768808 | 83.95061568504542 | 84.47205005735668 | 84.86739909649398 | 84.89096976739376 | 85.22550021179572 | 85.40372468453816 | 85.4489196080287 | 85.78052954839876 | 85.82434430410468 | 86.0215073926022
United Kingdom | GBR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.41499414058391 | 70.85020388810838 | 71.70329474550634 | 72.70194783322025 | 73.14685207980489 | 73.55836900066404 | 74.33004178949658 | 75.247529079649 | 75.67567347581968 | 76.27840852134 | 76.84658707604437 | 77.47489578815807 | 78.30459941786403 | 77.96852476437014 | 78.96253318759058 | 79.36507587008673 | 79.62697622671801 | 79.16666620992609 | 79.62697622671801 | 80.20231567569425 | 80.90379188701733 | 80.90379188701733 | 80.9592998433979
Georgia | GEO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.95972949546457 | 74.23638679995243 | 76.28458545700725 | 78.32447329275548 | 79.0106899236714 | 78.63818468084837 | 77.79255634845799 | 77.15802937509287 | 77.02522928204058 | 76.86170423230524 | 73.91891994991825 | 76.22193274643102 | 74.93224519012176 | 75.93582475893454 | 76.22951033251437 | 75.57980793910806 | 75.54645019474752 | 75.51299851597322 | 75.44337917423096 | 75.30529484143176 | 75.23680287699403 | 75.23553059202251 | 75.23427450991612
Ghana | GHA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.604389500696 | 95.87912105186709 | 96.42366082082212 | 96.17486948210791 | 96.19565831465633 | 95.95141692067952 | 95.71045976716437 | 95.60586486096874 | 95.37037027692786 | 95.13798025961798 | 94.9086140945597 | 94.84809239932875 | 94.65240663528823 | 94.44443640383028 | 94.36812372026871 | 94.28173131293052 | 94.33427749794325 | 94.20085056421908 | 94.34229112777996 | 94.35028272940069 | 94.35825117924719 | 94.23347600265645 | 94.38202223111367
Guinea | GIN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.51898927326444 | 81.49556629687471 | 81.47207419024343 | 81.32147710512645 | 81.32147710512645 | 81.17048406567913 | 80.91603016386989 | 80.89171974522293 | 80.63694170326178 | 80.50955511202484 | 80.86734731114937 | 80.99489638280097 | 80.99489638280097 | 80.86734731114937 | 81.24999939178942 | 81.48147733134503 | 81.86461810448432 | 82.24776374952282 | 82.24776374952282 | 83.01404529580128 | 83.39719094083975 | 83.52490290791975 | 83.65261487499974
Gambia, The | GMB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.69014198017179 | 81.7861336334647 | 81.7861336334647 | 81.66862661123895 | 81.9999964096967 | 82.54716684063726 | 83.19526988373704 | 83.72921918671375 | 84.3861761193408 | 84.7072928446121 | 84.92823121519373 | 85.1496987714025 | 85.97121778947906 | 85.85131554452515 | 85.74850116661209 | 85.86825981825413 | 85.98802760689557 | 85.98802760689557 | 86.21103142734168 | 86.55461684595898 | 86.7788456688971 | 86.88327108781674 | 86.98794813041229
Guinea-Bissau | GNB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.82458536779788 | 76.76508095727641 | 76.79487375112679 | 76.50063753673656 | 75.95420091845882 | 75.63451290093775 | 74.65145803141704 | 74.43037878108923 | 80.73979337381253 | 80.61224430216106 | 80.38216366130077 | 81.14649778718407 | 82.90816165168603 | 84.05612275929116 | 84.31122090259433 | 84.33120630349326 | 84.8407623874154 | 85.58673108185104 | 85.96938802817621 | 86.35203524313101 | 86.73469218945615 | 86.86224126110776 | 86.75159041289311
Equatorial Guinea | GNQ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.55458327971519 | 87.29642004116891 | 87.02702702702703 | 86.65231289320843 | 86.46616683068636 | 86.28081175446796 | 86.08137067706791 | 85.98930644479027 | 85.97430593136403 | 85.97430593136403 | 86.15880437887965 | 86.25134733388713 | 86.43703092877651 | 86.5301728567527 | 86.71706735956289 | 86.81081411000842 | 86.90476377239864 | 86.99891700624221 | 86.99891700624221 | 87.10725771135034 | 87.21559841645848 | 87.21559841645848 | 87.3239391215666
Greece | GRC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 53.89221310679668 | 51.36363867557409 | 53.33333448930227 | 53.881283364087 | 54.39394170587713 | 55.37064949925894 | 57.25076023116834 | 57.68645857888873 | 60.18236571048794 | 61.77370119768658 | 61.71515674374179 | 61.33540227344105 | 62.22910481808094 | 62.96295882034489 | 64.81481176235945 | 65.06955248823222 | 65.38461538461539 | 65.43209803865702 | 65.48536055589014 | 67.23338802442065 | 68.47825687767985 | 69.35229392574242 | 70.60703169379761
Grenada | GRD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Greenland | GRL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Guatemala | GTM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.07508452440274 | 46.24145451360354 | 46.51428658621658 | 46.68192050886833 | 46.90367311613004 | 47.29573964608215 | 47.46543699816743 | 47.80600722325713 | 48.20393627236815 | 48.54819974198285 | 48.72093200683593 | 48.95348659781524 | 49.12689175008455 | 49.30232735567314 | 49.47613416187905 | 51.37299856062831 | 53.44632682153728 | 54.14302109999596 | 54.54545454545454 | 54.87528707544189 | 55.32879923533044 | 55.44218051909293 | 55.66893443651038
Guam | GUM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.580315489312 | 67.31517840859534 | 68.05195003360896 | 68.8802075831013 | 69.58224582088943 | 70.51113641576853 | 71.31579047755197 | 72.18543046357617 | 73.20000203450519 | 74.19354789090833 | 75.20324892273575 | 76.09290038949526 | 75.94936871855893 | 74.96503283093861 | 73.9916545673386 | 80.48780621293258 | 79.8036452881696 | 70.34482758620689 | 73.08229254696438 | 76.06232567076273 | 78.17403770314073 | 80.31609590719148 | 80.28776868641798
Guyana | GUY | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.61445875052952 | 44.84848484848485 | 45.97561068651159 | 47.17444816468544 | 47.23247242860792 | 47.10946838793804 | 47.29064405058475 | 47.53694572023836 | 47.90640762052516 | 48.21648129334474 | 48.28009643779446 | 48.40294937015786 | 48.34356015445264 | 48.16176467150822 | 48.10281604044301 | 48.16625923711653 | 48.41075427474588 | 48.89975367689237 | 49.51100059785352 | 50.24509897877374 | 51.10564827310908 | 51.72413987499442 | 52.28677186554719
High income | HIC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.94314554970903 | 69.38115649623417 | 69.61088193652284 | 69.76584417039656 | 70.30869358147991 | 70.62973267172033 | 71.10852399412478 | 71.67918895520336 | 71.89485591623699 | 72.73520759300953 | 73.13467154189324 | 73.42666504553576 | 73.90526299277421 | 74.54657681432008 | 74.83366426040584 | 75.19681788539609 | 75.4902447980753 | 75.63033988494928 | 75.87030935190297 | 76.46048021042674 | 76.76609059038022 | 76.80237735494664 | 76.9351126109425
Hong Kong SAR, China | HKG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.52080573330224 | 60.88607401787481 | 59.82142935341368 | 59.35897338084679 | 60.54333426833709 | 61.84895587567665 | 62.63157693963303 | 63.34661199170561 | 64.52476938698686 | 65.76454326202139 | 66.98498830818758 | 68.73278591550687 | 71.05263352550524 | 70.97222010294597 | 71.58774281503395 | 72.61236373440025 | 73.34273466978658 | 74.60992691364694 | 75.86206953250549 | 76.47907311117449 | 75.73099134721824 | 75.80645612370812 | 75.88235069723692
Honduras | HND | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38.51508345513523 | 38.67595798746665 | 40.74505166272392 | 40.50925854384001 | 40.32257922747988 | 40.13761608360416 | 45.67197845139287 | 46.18884842927783 | 47.96380180317801 | 51.68539325842697 | 50.45454718849874 | 48.50574800337874 | 45.44392782628295 | 45.99056438264076 | 46.60309626104205 | 47.3118278589767 | 48.25930286936671 | 49.03614549751747 | 49.57780183066814 | 50 | 50.54282358824682 | 50.90470444655652 | 51.26658530486608
Heavily indebted poor countries (HIPC) | HPC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.16303097080689 | 79.4673036044472 | 79.87569958693813 | 80.00726307634908 | 80.19389397096062 | 80.27026732991655 | 80.44601461162401 | 80.7338395710914 | 80.99737319807836 | 81.16449762292503 | 81.63446506028856 | 81.9300629613238 | 82.1889366064457 | 82.42316778068349 | 82.65720194437212 | 82.91026145066711 | 83.23431253657283 | 83.47533027340313 | 83.66682620145437 | 83.79430062840576 | 83.8798016819646 | 83.9497553229366 | 83.97095665063839
Croatia | HRV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.88321167883211 | 67.53622967263928 | 67.93557752950163 | 68.4444455747252 | 68.86227230312909 | 69.28895657235411 | 69.72476668227155 | 70.21604607588941 | 70.82683713979824 | 71.2264156035996 | 71.74603295704684 | 72.41935729980467 | 73.51973901949117 | 73.27868977531065 | 74.19354838709677 | 75.53017914079946 | 77.0382702372233 | 74.67320293011134 | 75.61779398510853 | 77.25752734509649 | 77.32656843121708 | 75.50675707241322 | 76.5811952770265
Haiti | HTI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 73.38501048746008 | 74.18514183810919 | 75 | 75.93085211615266 | 76.88171987878704 | 77.8231302897136 | 78.65013729232363 | 79.63737922518972 | 80.62235142913565 | 81.51862326379363 | 82.46377032736072 | 82.75362097698711 | 83.18840800852014 | 83.50217371502396 | 83.83837794455536 | 84.02877917392647 | 84.33908340495945 | 84.52721693471929 | 84.85714503696985 | 85.04273982654979 | 85.24822478598738 | 85.28996016959478 | 85.59321449438347
Hungary | HUN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.7391299197007 | 72.55520330109695 | 73.85102947860281 | 73.31136645910811 | 72.03389830508475 | 68.24324494125715 | 68.37606837606837 | 68.2291671495746 | 70.84805575119547 | 71.2304990133024 | 71.37931297565328 | 71.10726473464794 | 71.87500455313268 | 72.8055083442072 | 73.05699157564642 | 73.58490924062991 | 73.1748681792211 | 72.6655316269482 | 72.94520096072888 | 73.3676979436226 | 74.95712064291078 | 74.53310762070278 | 74.62437332931876
Indonesia | IDN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.89889236429303 | 60.49079660989018 | 59.16870381441732 | 60.34063298731274 | 61.82926922309695 | 61.10444136989117 | 60.54502079416753 | 59.20577817851743 | 61.20689979165744 | 59.97638850932068 | 59.316034701508 | 58.84433930435399 | 58.18610204714894 | 58.35293938131895 | 58.45070542351463 | 58.54800832157879 | 59.22444468809896 | 59.90565732179827 | 60.73546727098474 | 60.44864534555578 | 60.59171687921835 | 60.71005826871064 | 60.78198851848454
Isle of Man | IMN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
India | IND | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.89306681673229 | 41.22496981267006 | 41.6765059137267 | 42.01183431952663 | 42.39905232405687 | 42.14285895937964 | 41.88543818123983 | 41.67664579288682 | 41.41656510932382 | 41.20482019631265 | 40.94202931935668 | 41.61640454159718 | 42.28915478809771 | 42.96029051559749 | 43.62980837564493 | 44.29771929654237 | 42.39130094256191 | 40.58323242694647 | 38.87530324044059 | 37.14637100777642 | 35.39603873919347 | 35.51980158287275 | 35.59950394790504
Not classified | INX | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Ireland | IRL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.28328720575364 | 51.34751881268015 | 53.07017313928936 | 55.58823417214779 | 56.95461169511288 | 58.06451648989665 | 60.08771572698146 | 61.40350740212988 | 63.21839219056913 | 65.24822695035462 | 66.1991567218816 | 66.85393330665902 | 68.78530884714475 | 69.58982020742896 | 69.56521227371573 | 71.58620900121228 | 72.16916688056033 | 73.80627042528307 | 74.48275862068967 | 75.92067936625882 | 76.95651952771175 | 77.56598811291055 | 77.61413781832364
Iran, Islamic Rep. | IRN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12.03473944528622 | 12.32876617968392 | 12.61033999390034 | 12.89910598699901 | 13.34196968639832 | 13.68421002438197 | 14.19009479855023 | 15.32257981818049 | 16.46423759850125 | 17.61517542334351 | 18.86024449674258 | 20.21709665604766 | 21.57394881535273 | 23.00405906493358 | 24.56140504415222 | 26.07526776969528 | 25.2387438332533 | 24.30939227974836 | 21.8749989840118 | 22.08157545176259 | 22.25312887405313 | 22.34482863853724 | 22.43502046629486
Iraq | IRQ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.08379947052432 | 15.40616213574317 | 15.73033748499565 | 15.91549322638718 | 16.22002785966434 | 16.548798181463 | 16.85552390329346 | 17.18750016933134 | 17.35419527689487 | 17.68901553272933 | 18.02575122520539 | 18.36442001602944 | 18.73198806076736 | 19.07514507426637 | 19.59361349931086 | 19.68162182603099 | 19.97105715697402 | 20.20201931238571 | 20.37572399318995 | 20.63492000145327 | 20.86330935251799 | 20.97701250223205 | 21.09038802423624
Iceland | ISL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.66177739551108 | 82.4817585996366 | 83.65617403221913 | 86.40898464931513 | 87.10888253434922 | 86.18581585552279 | 86.55043257620227 | 85.67870540106006 | 86.24078087507657 | 86.70731521234279 | 86.98297159916012 | 87.43902066858806 | 87.2996354917935 | 88.79203031387308 | 87.40554180374835 | 88.27930891001058 | 87.27050883114119 | 87.60736383543424 | 87.62376284367919 | 89.04458793105593 | 89.56743370555914 | 89.60205607771364 | 91.33246531290486
Israel | ISR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.9744412839466 | 67.20257029637547 | 68.9822289343364 | 69.26751676507841 | 71.22416240105888 | 72.6114634205456 | 73.50565246913209 | 74.67320293011134 | 75.86206831753071 | 77.92421522659947 | 79.53795705708318 | 80.00000252211387 | 80.66666920979817 | 82.00000127156584 | 82.01320464416119 | 82.537063994091 | 82.51633884060499 | 82.41935237761467 | 82.34349898120638 | 84.32956296635298 | 84.4301751497147 | 84.15999755859376 | 83.59712010664907
Italy | ITA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.78195259266331 | 53.46385419308181 | 52.63975267493791 | 52.26917171880226 | 53.18471645166578 | 53.87097020303047 | 54.69255607497024 | 55.19480656202258 | 55.84415970453433 | 57.166119872696 | 57.84313902707638 | 58.85246151783426 | 59.38010110752553 | 59.80551226839388 | 61.38933612806635 | 61.70213044916414 | 62.13115004242442 | 62.37623793539001 | 63.53135473500253 | 63.54515131239308 | 64.08094517520885 | 64.68590405278869 | 66.32996719488877
Jamaica | JAM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.1735929690189 | 82.0858914427962 | 83.00493110712853 | 83.80717153641761 | 84.84472428789789 | 83.27090913714787 | 81.65829302262144 | 79.64601923552694 | 77.3536900984531 | 76.82458536779788 | 76.31917833479662 | 75.58139385881066 | 75.1948071764661 | 74.67363172632989 | 74.83616800826016 | 75.45932060739592 | 76.0526305750796 | 76.78100055378539 | 77.48344370860927 | 77.42818010339448 | 77.90209896914617 | 78.05907340518556 | 79.01408235791705
Jordan | JOR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.02439027936029 | 14.11589831978748 | 15.20119231179864 | 15.88235322166897 | 16.59388664473876 | 17.29651030622485 | 17.51085477375418 | 17.80029010469721 | 17.97101393989898 | 18.19505175439434 | 18.39416114083168 | 17.75837023465436 | 18.96296324553319 | 17.68201943375615 | 16.27218971641111 | 18.22222250479244 | 18.98355683049179 | 22.70029650497903 | 22.07407350893378 | 22.8197661524144 | 22.97496322665623 | 23.24888336247319 | 23.11178383089209
Japan | JPN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.89637364585653 | 65.250968795677 | 65.04481463452703 | 64.45013234365837 | 64.44159150146194 | 64.26734966415957 | 64.39588240220402 | 64.7814904227567 | 64.85788084403977 | 64.4993465408832 | 64.52879352412205 | 64.99339860816461 | 64.79999796549481 | 65.27590579803156 | 65.62500032393822 | 66.03001297517439 | 66.21067378409522 | 66.25683336338535 | 66.52949106288139 | 67.4515274534581 | 68.99441700928793 | 67.84202741739621 | 68.32385998804223
Kazakhstan | KAZ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.00000195625499 | 80.205654342155 | 80.41237468153912 | 80.62015542081778 | 80.95855242313334 | 81.42857241940196 | 82.03124674037113 | 82.89817397509889 | 83.66013071895425 | 84.29319403097753 | 84.92791672341215 | 85.43307228521199 | 85.80815290550106 | 85.73316267139681 | 85.23936313220746 | 85.90425677621137 | 86.45417773671844 | 87.01986350760556 | 87.59894307727089 | 87.53280789964762 | 87.33681835317624 | 87.28924044576641 | 87.09677419354838
Kenya | [NAME] | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.3134273830162 | 87.20201086724487 | 87.08861145792126 | 86.73469218945615 | 86.61519394471523 | 86.49350451184557 | 86.36959225437502 | 86.35761185197643 | 86.22994300597726 | 86.2162151852169 | 86.08457823605494 | 86.08815607934024 | 85.95270921491827 | 85.9550609355053 | 85.97734004936204 | 86.00000108991358 | 85.91749488461599 | 85.71428725588903 | 85.77465003644915 | 85.83449949996981 | 85.77406222819614 | 85.81362928167933 | 85.87257980695728
Kyrgyz Republic | KGZ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.60026800429219 | 78.46567542729224 | 78.33108798447431 | 78.19649540747436 | 77.92732052183825 | 77.7927279448383 | 77.49326464273146 | 77.2237218244494 | 76.9230785070891 | 76.38326537063055 | 75.84345738221162 | 75.40540437440609 | 74.8308499258895 | 73.4143085642272 | 72.23719768008816 | 71.27799392161427 | 70.5045250302363 | 70.4516109343498 | 70.61855710646155 | 70.47496848590016 | 70.58823902445216 | 70.48346386942902 | 70.50633007967025
Cambodia | KHM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.64677834716002 | 91.42857506161643 | 91.10320316904945 | 90.68396080002837 | 90.56603807535573 | 90.75829039011786 | 91.15890780610141 | 90.2497061866589 | 89.46745381552792 | 91.3253048816359 | 93.36609161590479 | 91.98055181193018 | 90.63625118127388 | 88.99407922868899 | 87.61682399173672 | 88.69463376151013 | 89.76743831190954 | 90.93022900958395 | 91.8699185551043 | 91.76334254584229 | 91.54113233648476 | 91.31944459774857 | 91.2138745963918
Kiribati | KIR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
St. Kitts and Nevis | KNA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Korea, Rep. | KOR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.16893391686767 | 63.64864658665014 | 63.08724832214765 | 63.17204171514938 | 63.64846898569782 | 64.40902793412015 | 65.2058386244314 | 66.53385981894932 | 63.79542339030564 | 65.08152516160892 | 66.62125409988997 | 67.30506400811666 | 67.43555335265843 | 66.39455678511632 | 67.47967097255335 | 68.11988959206127 | 68.76712433279384 | 68.86145365184788 | 69.11357844190847 | 68.34030974279042 | 68.75871873836829 | 68.94150124801163 | 69.3055576748318
Kosovo | KSV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Kuwait | KWT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.31672977075382 | 45.16539527884127 | 46.09571507651928 | 47.02233528955681 | 48.16176467150822 | 49.39320389473183 | 50.48308900536098 | 51.44927162320524 | 52.30024402055435 | 53.09841937120821 | 53.77129246217653 | 54.44579974874114 | 55.12195214992622 | 55.60975423673305 | 54.99999813917208 | 54.21245506552196 | 53.4798515519203 | 52.62514978159346 | 51.89255092574177 | 52.25335240341265 | 52.00485741190547 | 52.24242239287407 | 52.41545884817156
Latin America & Caribbean (developing only) | LAC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.47578258290419 | 51.24296263957471 | 53.44779534211862 | 53.82569862339106 | 54.82822478743403 | 56.28715157809693 | 56.50311740309209 | 57.91489449398302 | 58.60710768332644 | 59.97748606424719 | 60.37564956754442 | 61.47707241485062 | 62.72151537195271 | 63.29478019418967 | 64.18130975403203 | 64.80689486404368 | 65.00786133791189 | 65.65396787688174 | 65.83943043356716 | 66.76422721505692 | 67.09298967325928 | 67.29666872966415 | 67.7191199169049
Lao PDR | LAO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96.50180763268911 | 96.73912502642186 | 96.85610813776896 | 96.97336556152206 | 97.32684751390211 | 97.44214553818409 | 97.43589934676919 | 97.42962233468444 | 97.30061724142061 | 97.29396741075628 | 97.1640006588937 | 97.27722216021768 | 97.2670845363451 | 97.38154793761855 | 97.49373443168565 | 97.36181091158711 | 97.47793200121994 | 97.4715549449039 | 97.33840502723905 | 97.20811612635131 | 97.0775152330998 | 96.95431290237069 | 96.70469147802447
Lebanon | LBN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.47083824143224 | 23.90381944556856 | 24.50424874074456 | 25.28408927735215 | 25.85714340209957 | 26.36102981956378 | 26.72413906501107 | 26.81882973792206 | 26.96148363756047 | 26.98863577867344 | 27.15700366577861 | 27.29844422933932 | 27.54237169417165 | 27.92665558664817 | 28.22694981351815 | 28.75354061728713 | 29.32011502879455 | 30.01422399076569 | 30.38516362439558 | 30.85714340209957 | 31.42857142857143 | 31.90883275257919 | 32.34042444973121
Liberia | LBR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 86.84210495236294 | 87.42235699239316 | 88.43749761581422 | 89.6226436596431 | 90.36335142552481 | 91.26984126984127 | 91.7197439074638 | 92.33226940245865 | 93.10896963684452 | 93.41894297860276 | 93.89067654268463 | 93.7399714944754 | 93.90048269085695 | 93.60000000000001 | 93.61022348642133 | 93.0047672191731 | 92.25908725080556 | 91.20878772096268 | 90.625 | 90.4984442927016 | 90.35769162771882 | 90.23255932238683 | 89.95363757048942
Libya | LBY | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.35723900992967 | 25.271740172671 | 26.22282559400688 | 27.30978369318468 | 28.43537363065347 | 29.71506177118319 | 31.1141305615411 | 32.74456641455453 | 34.19267544968404 | 35.63685386112471 | 36.80649553628816 | 37.73585060863445 | 38.25503355704698 | 38.87399543320388 | 39.17112037654115 | 39.46666717529293 | 39.62766016808605 | 39.60264850136463 | 39.63012048799906 | 39.47368421052632 | 39.15900109668783 | 39.18741601916812 | 39.26701492255616
St. Lucia | LCA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.49406862333653 | 75.78947167647513 | 76.71957826805273 | 77.04485379242291 | 77.2667548174213 | 77.92378505398567 | 78.89181639772208 | 79.21052731965725 | 80.39735200389339 | 81.299732090882 | 81.77015062259689 | 81.83006336486417 | 82.87581898807699 | 83.8331233509018 | 82.51295761792115 | 81.31443262226917 | 82.18996929923708 | 82.07170880800892 | 82.360739015114 | 82.05804519620938 | 82.21343909275544 | 82.23684210526315 | 82.36841904489619
Latin America & Caribbean (all income levels) | LCN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.38216276646461 | 51.1009344233663 | 53.28757268627343 | 53.69894992425327 | 54.66923523496787 | 56.05557057550097 | 56.28209457568664 | 57.68403561827873 | 58.36404379584199 | 59.7185631620363 | 60.11170048016396 | 61.17645696734627 | 62.38588278175253 | 62.99922600222767 | 63.90179726453573 | 64.54849201503374 | 64.7524416204834 | 65.40640031976079 | 65.65859446130715 | 66.58394163427116 | 67.03039103125775 | 67.28765877694833 | 67.7111792036351
Latin America and the Caribbean | LCR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Least developed countries: UN classification | LDC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.53583051834624 | 79.73021677841317 | 79.72110407864805 | 79.64541737477829 | 79.51540363420234 | 79.31439178640231 | 79.17108926702365 | 79.16629816572406 | 79.15049364904604 | 79.18646316549423 | 79.39443966447807 | 79.65620418432849 | 79.84423146150128 | 80.04164613010782 | 80.1995135468239 | 80.43487171548904 | 80.72252301160634 | 80.93608178626253 | 81.13850321931558 | 81.32833407118915 | 81.47698740727725 | 81.58431869893464 | 81.6424092213837
Low income | LIC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.22221546787156 | 82.3904776998692 | 82.3340234237925 | 82.16026909589355 | 82.02028893058254 | 81.80503096048041 | 81.62654717608964 | 81.60134960933028 | 81.52422591976058 | 81.5011841094978 | 81.75679812937246 | 82.06571129589126 | 82.31767916590583 | 82.56048986781768 | 82.79191299064597 | 83.0792475794243 | 83.40898942440302 | 83.6581654098974 | 83.8906127312786 | 84.05043074233578 | 84.1789010113594 | 84.27739519529527 | 84.33503714757614
[NAME] | LIE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
[NAME] | LKA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.60691707688095 | 47.02842481690192 | 47.51958518403423 | 47.21141666182614 | 47.26562212842212 | 48.39999898274733 | 47.22954854317819 | 46.40522875816993 | 53.67741738596271 | 48.46547698839881 | 48.504549410845 | 47.78645742788094 | 46.93611660023024 | 46.21410212930827 | 46.27659660812519 | 45.14436076584705 | 51.36186674168741 | 48.49673003153085 | 48.04177541791098 | 48.16273258891004 | 45.49019508112483 | 45.62091702729268 | 45.81151740964885
Lower middle income | LMC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.09927176950855 | 49.06105244978365 | 49.28726635104372 | 49.67524470955094 | 50.15075172762246 | 49.9885286873943 | 49.93254712201014 | 49.77727891072701 | 50.10913151915544 | 50.0186458121087 | 49.87293965118667 | 50.3521620088956 | 50.64363717877868 | 51.05707360861386 | 51.51505248749262 | 51.89681440694967 | 51.18275482172432 | 50.51983202308681 | 49.88461387961497 | 49.22512198038986 | 48.62849963247302 | 48.74543393926022 | 48.85376351405466
Low & middle income | LMY | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.84126953245782 | 66.86769264121429 | 66.9905670533983 | 66.95440520857052 | 67.09096326994168 | 67.12446294699089 | 67.07445770611052 | 67.08043708184036 | 67.19200312508772 | 67.24270481394485 | 67.26819604197537 | 67.44978327442193 | 67.52786045987625 | 67.62503489177689 | 67.6481271054184 | 67.74271583950876 | 67.40758991316385 | 67.14540665757052 | 66.79456800472484 | 66.56542732359263 | 66.2495554115925 | 66.32057008418725 | 66.3230820451192
[NAME] | LSO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 80.86642380525379 | 81.18214935225151 | 80.84337165556758 | 81.1594136128665 | 81.1594136128665 | 81.93939208984375 | 82.38153163751274 | 83.17072798566122 | 83.6185806528635 | 84.76658317759778 | 84.32836040424021 | 83.77358298631584 | 83.3121038546228 | 82.83870573966736 | 82.35294117647058 | 81.85430362524569 | 81.36729491220629 | 80.75880218097298 | 80.24691190058888 | 80.27397051249466 | 80.4109599492322 | 80.19126121609641 | 80.2182766561978
Lithuania | LTU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.83871009090976 | 79.32432535532365 | 78.66848196503352 | 78.11217464571585 | 77.54820994538882 | 77.08333333333334 | 76.68539440221012 | 76.27840852134 | 76.61406580194351 | 80.79179023415082 | 82.53011743637175 | 81.6232721992587 | 80.09187870268046 | 82.88288592737534 | 80.3100763365279 | 80.56872135022212 | 81.83279887708062 | 81.42857021755634 | 81.44654163496241 | 83.88105977182741 | 84.57944208445517 | 83.45978562443814 | 84.16289090288524
Luxembourg | LUX | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.0732053218544 | 52.10450033501787 | 55.86510290174301 | 54.17276478298452 | 55.9347179665333 | 53.32326414555494 | 54.98489909952393 | 57.25190839694656 | 57.62195139680137 | 61.04294647230579 | 62.72727503921045 | 63.13363968888478 | 64.18816124070847 | 65.83851012618473 | 68.89579647671486 | 70.17002112410817 | 72.78382117554364 | 73.89937284216185 | 74.05660315115594 | 73.86707519656062 | 74.61773409554165 | 76.55279203254285 | 78.12018423870583
Latvia | LVA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.61668965432176 | 80.31704318116529 | 78.9826002816033 | 77.68707275390626 | 76.31579058600305 | 75.10608312047646 | 73.84393168736855 | 76.43593572836389 | 75.73529411764706 | 73.95833782733459 | 75.34668779072369 | 77.70898134471278 | 77.42899559878593 | 77.77777906805257 | 76.01199862465006 | 76.77224612816876 | 76.91176358391249 | 77.71346157561914 | 78.2670415907114 | 81.06508945860296 | 82.26299385600431 | 81.12633441832531 | 81.22205847891244
Macao SAR, China | MAC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.25626582594575 | 62.5 | 64.89510702920126 | 65.7303388244259 | 67.66382060532182 | 66.98894886440576 | 69.31676923858447 | 69.7351792041762 | 70.66326587709571 | 72.17165006339144 | 73.77483544760199 | 75.09778457095645 | 77.55102040816327 | 76.23626054045876 | 77.23576916389078 | 79.40780292956417 | 79.89487576367878 | 83.13878047045164 | 83.54755456340745 | 85.5844175660765 | 85.10362635414347 | 85.0129221635188 | 85.03226003339213
St. Martin (French part) | MAF | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Morocco | MAR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32.58706500708999 | 33.20849049711742 | 33.08550405530229 | 33.25092597176938 | 34.28927811275027 | 34.19753180609815 | 35.45568059867797 | 35.90062064413701 | 37.00000047683712 | 37.7028730814478 | 36.52392876912982 | 32.06590462328723 | 31.63265147242927 | 34.52229347957923 | 35.91370322469704 | 35.67775026512637 | 35.05154806415423 | 35.01291969924412 | 34.41138335228671 | 33.55006336167381 | 34.21400351738285 | 34.43271679507465 | 34.69656751742124
Mexico and Central America | MCA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Monaco | MCO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Moldova | MDA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 82.34501480740096 | 82.47282883338994 | 82.71604660482001 | 82.82548720871712 | 83.3099564985425 | 83.66477308132923 | 84.14985625627376 | 84.62664224664765 | 85.24590471488641 | 86.17020992892614 | 87.2472718686558 | 87.23747765567325 | 89.71807488991 | 88.11700199389414 | 90.57692014254057 | 92.68775284620901 | 84.13655053773068 | 86.22129002385809 | 86.07594498659455 | 83.29718611039715 | 83.74164186263933 | 84.14096801552914 | 85.45034792594564
Madagascar | MDG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 94.14413919039413 | 94.36302122657617 | 94.47576768312221 | 94.58239784985402 | 94.8022616111626 | 94.80812804363119 | 94.59459134369615 | 94.3820224719101 | 94.1769267637955 | 93.9597299399198 | 93.85474860335195 | 93.750001596553 | 94.29530381759021 | 94.18344016903463 | 94.1769267637955 | 94.38832762555856 | 94.7544676023631 | 95.11110941569011 | 95.45957257480315 | 95.58985652195491 | 95.82417247059583 | 95.81497475325885 | 95.80574449628857
Maldives | MDV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.1997421046898 | 28.36601406920196 | 30.60685993257555 | 33.11170296412138 | 35.57046979865772 | 38.2113815675077 | 40.87193375523676 | 43.62139721735364 | 46.47302497355039 | 49.37412968930538 | 52.52100728094262 | 55.49374225189373 | 58.42541207950202 | 61.50685140531355 | 64.45047756699115 | 67.29222760018419 | 70.06622718659456 | 70.63492407894485 | 71.24010267272376 | 71.61629578551636 | 72.12041541053782 | 72.2656221284222 | 72.50324595614869
Middle East & North Africa (all income levels) | MEA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24.4560741801853 | 23.54706761630979 | 23.86961470709689 | 23.86911714702646 | 24.52180327038462 | 24.86570702404291 | 25.11870078997049 | 25.40243234581691 | 25.78883051058415 | 26.3798639054375 | 26.61296420569303 | 26.625977166577 | 26.58387909892122 | 27.445953126945 | 28.09624046825952 | 28.69432330092528 | 28.96254607202796 | 29.66305935948771 | 29.50232644749109 | 29.75978613914891 | 30.14973854979758 | 30.31017019673513 | 30.58389103813535
Mexico | MEX | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 40.88200073093048 | 40.35502778002497 | 41.22496981267006 | 42.32121592330608 | 43.5349933978137 | 45.71773320661237 | 45.60770423802315 | 47.61336524204572 | 47.25536638663696 | 46.69073399459032 | 47.45145358018129 | 46.88644787600547 | 47.97545825045534 | 47.71322341912867 | 50.18449902281812 | 50.86633282401463 | 51.77914204041657 | 52.83251618004844 | 53.63748559610737 | 53.70138127465067 | 54.40993694044782 | 54.40806036868815 | 56.25
Marshall Islands | MHL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Middle income | MIC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.77060330312298 | 64.75908524551372 | 64.88979794045208 | 64.85352134513684 | 65.0132332840897 | 65.06544599236095 | 65.01820200744146 | 65.01449109674695 | 65.13674019371923 | 65.1886442756015 | 65.1594249413449 | 65.30256264919515 | 65.33198406526485 | 65.38629300843826 | 65.3592075593977 | 65.40629309512832 | 64.93311829663477 | 64.55211429639736 | 64.06686540071293 | 63.7305514912422 | 63.29115431981067 | 63.32795095606872 | 63.28507367150779
Macedonia, FYR | MKD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.67712631163717 | 63.8805958762097 | 63.93442995743798 | 63.98809814399073 | 64.02985302369984 | 63.97608110741849 | 63.86806660152894 | 63.25301059463201 | 62.78366256883913 | 62.21547655639934 | 62.95731737456238 | 63.6085588739014 | 64.36252305372207 | 65.63944140607505 | 64.06994953804556 | 66.14420261376137 | 63.19758611951981 | 64.80363066998301 | 63.01775064452021 | 61.98830494153864 | 62.39067082954313 | 64.20118713833028 | 63.74442731137202
[NAME] | MLI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.90184081384581 | 56.74846891384328 | 55.81039625137758 | 56.68203132223972 | 57.16486533413633 | 56.83563881296931 | 56.83563881296931 | 56.2691106704312 | 55.79268189855162 | 55.38694864167258 | 55.45454314260773 | 54.05405529249163 | 53.89221310679668 | 53.27381080780979 | 53.34323907573913 | 54.42856924874443 | 55.86206896551724 | 57.14285496011979 | 58.6787578080234 | 60.07556655700139 | 61.67076145198816 | 61.91646263035462 | 62.16215912236097
Malta | MLT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.39490445859872 | 35.64993803203252 | 36.50586846684575 | 36.97368471246013 | 36.91898819439893 | 37.56684389708639 | 38.17204171514942 | 38.94165800725181 | 39.97271216533444 | 41.184573342916 | 42.33983053819111 | 41.00817405413436 | 44.14668344631252 | 43.34277768105949 | 40.94827675980046 | 44.1690960802149 | 44.72140962579048 | 47.71048846834424 | 49.92526272657675 | 50.52474108670499 | 51.48809530567421 | 52.81898763823043 | 57.14285714285714
Myanmar | MMR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 91.4141468631531 | 91.4141468631531 | 91.42496495577743 | 91.43576458302525 | 91.4465370418141 | 91.45729201920267 | 91.58291824538108 | 91.59347904041549 | 91.48935804518683 | 91.62500381469725 | 91.63545933099257 | 91.65628353299292 | 91.67702242454385 | 91.70791543987332 | 91.72839882933062 | 91.74877192112106 | 91.7690362997025 | 91.66667212068653 | 91.68703814417319 | 91.69718812568138 | 91.4738122654089 | 91.48418459868363 | 91.48418459868363
Middle East & North Africa (developing only) | MNA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.44913056638406 | 22.25962324224489 | 22.79766954784274 | 22.6736863672939 | 23.26838975168958 | 23.23599435490424 | 23.41664915781816 | 23.6072347525185 | 23.897112982469 | 24.39873670350998 | 24.66825383922484 | 24.643063944755 | 24.56855172563309 | 25.48613721496951 | 26.16381010924716 | 26.70058618117323 | 26.71298649752419 | 27.33671462058675 | 26.87488640938316 | 26.90811470879745 | 27.15314176387495 | 27.26231829150746 | 27.39799086610799
Montenegro | MNE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 70.72784845463418 | 70.32966828961959 | 70.10954329776803 | 69.95305116673029 | 69.92126224547857 | 70.06369511870001 | 70.55016021420087 | 71.03110083425119 | 71.6887386476443 | 71.7821800252626 | 72.09302487683178 | 72.04658957804361 | 72.00000127156584 | 71.83333079020183 | 71.78630868886121 | 71.85929811999317 | 72.21298274169978 | 73.17880736145617 | 72.22222256850921 | 72.87853635457355 | 73.0050914873187 | 75.4919492147116 | 74.91288999463418
Mongolia | MNG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 83.86581674072013 | 83.38558213028378 | 83.05084785612254 | 83.05343744408992 | 83.38414944402538 | 83.66412097261144 | 83.99390206671697 | 84.29878128560642 | 84.60366050449605 | 84.90853972338567 | 84.93150963312705 | 85.08372012546113 | 85.32109776018939 | 85.67025757611204 | 85.38461538461539 | 84.96933147076243 | 84.86238334113577 | 84.49847400521631 | 83.54036950673233 | 82.22222222222221 | 81.50887532226011 | 81.52492809686869 | 81.5406918396754
Northern Mariana Islands | MNP | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Mozambique | MOZ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 105.8312712985296 | 105.9553388866366 | 106.9651720993047 | 107.0807415506114 | 107.4534161490683 | 107.960200751761 | 108.084576960994 | 108.084576960994 | 107.116568161666 | 106.4476925164547 | 106.0459494371315 | 105.7761770636526 | 105.5222068494559 | 105.3956833545185 | 105.0359674717019 | 104.9219667754077 | 104.6818652504264 | 104.447121049702 | 104.3321282072493 | 103.9711228788837 | 103.8554180099304 | 103.7394432051408 | 103.3775577452664
Mauritania | MRT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23.71134018084618 | 24.22680361692292 | 24.74226951092341 | 24.71042666285955 | 26.03092933007727 | 25.70693986566383 | 25.93068083089694 | 27.50642516593936 | 28.24133449174767 | 28.46153943966602 | 29.44942439098919 | 30.34571219715534 | 31.45780222696373 | 31.92847895992357 | 32.52550957104606 | 32.99363008729974 | 31.30545029817014 | 33.50253628948482 | 34.13705403140874 | 35.53299354773997 | 35.86818591857467 | 35.94936660573455 | 36.20253212844266
[NAME] | MUS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45.68965501041713 | 45.70024578084655 | 46.06879520521618 | 46.9864690393927 | 47.7832520877951 | 48.15270929017877 | 48.7021023272482 | 49.25558500560804 | 49.93772970129831 | 50.43695667351533 | 50.93867332375098 | 51.44291288571281 | 51.39240313179886 | 51.34099514193701 | 51.22580743605097 | 53.51562088665881 | 54.3307128397909 | 53.55263258281514 | 55.33333333333334 | 55.95716324596732 | 58.04289560686971 | 58.33333418788018 | 58.54643097349223
[NAME] | MWI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.47738876491123 | 95.59748427672956 | 95.71788229151262 | 95.83333895262665 | 95.94937095159214 | 96.0709779288099 | 96.31979516044676 | 96.3244594806152 | 96.32911199255835 | 95.75530388183793 | 95.07389144047671 | 94.4106853791698 | 93.64508038994073 | 93.00947699145499 | 92.38875891819475 | 91.77287850238265 | 97.38717692639047 | 102.2058861340894 | 105.5487054064939 | 105.1787973571626 | 104.8029577246965 | 104.5566560550429 | 104.182034156038
Malaysia | MYS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.0100210850452 | 53.75 | 53.49127575848264 | 53.30012155724767 | 53.175590460958 | 52.98507172342421 | 52.79503105590062 | 52.60546194612227 | 52.35148222700502 | 52.98507172342421 | 55.4037248125728 | 55.625 | 55.84905852311811 | 56.2737651041944 | 56.70498058158395 | 57.08762900534612 | 57.53246654163701 | 58.06028501336989 | 58.52047691276581 | 58.85486239812708 | 58.7999979654948 | 58.85486239812708 | 58.83133790394496
North America | NAC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.9436681739863 | 75.31720248127976 | 75.85000872669404 | 76.36229497220975 | 77.75404657972788 | 78.0581170159374 | 78.57669302635395 | 79.12974241978668 | 79.3335298652885 | 79.72005219554123 | 79.88601949255427 | 80.19467682009257 | 80.50669260122793 | 81.17835300577246 | 81.04658171523114 | 81.27499694317792 | 81.2890844865269 | 81.54807687994274 | 81.99409760475469 | 82.73240919599792 | 82.94108347917289 | 82.71358221373778 | 82.45572964277649
Namibia | NAM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.4186046511628 | 75.0387620556262 | 75.5038771518442 | 76.7912797204741 | 77.01862934613366 | 76.886796696664 | 76.82539924742683 | 76.51757618761094 | 76.14534177548562 | 75.93749761581422 | 75.81395585407581 | 77.18223456426345 | 78.48484732887954 | 79.72972926531565 | 80.95238689932988 | 81.97932422719411 | 82.99120382230444 | 83.96501422059117 | 84.80463063406233 | 85.08124234947496 | 85.21869894318507 | 85.49382548891114 | 85.9177192746207
New Caledonia | NCL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.84530254289611 | 63.76209754945549 | 64.68144423387884 | 65.60332904034377 | 66.6203066889203 | 67.59776893483101 | 68.63572473186855 | 68.49507989886284 | 68.40620445162786 | 68.59972007566805 | 68.41359813168437 | 68.1303109259308 | 67.98867002468099 | 68.08510638297872 | 68.13655682292492 | 68.2403429494628 | 68.29971251254754 | 68.55895278948223 | 68.57562673909034 | 68.24224940255195 | 68.05348760807264 | 68.00595660463777 | 68.00595660463777
[NAME] | NER | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 26.54387777892214 | 27.93478343797772 | 29.39890668691836 | 30.98901182740604 | 32.56070695015117 | 34.14634177286491 | 35.85746065551966 | 37.43016759776536 | 39.23766950385497 | 40.94488290338533 | 42.8248604812191 | 44.77272900668056 | 44.20697251126617 | 43.86160703832088 | 43.4589823605348 | 43.21940692601006 | 43.42541352161381 | 43.58407174871542 | 43.74307714846869 | 43.90243881809003 | 44.1731408558148 | 44.38264832998156 | 44.4320714587079
Nigeria | NGA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.13903530593974 | 53.23450353718074 | 54.48369470852759 | 55.61643626591931 | 56.98478426542449 | 58.32167938872658 | 59.7457590589896 | 61.37339140113772 | 63.04347826086957 | 65.00000112196986 | 66.86567050307536 | 69.14893296313382 | 71.51703073406004 | 73.93364897492813 | 76.73667016008294 | 76.65056303335889 | 76.56501018793614 | 76.3200012207032 | 76.23604251264054 | 76.03174845377603 | 75.7911407399341 | 75.82938480020906 | 75.7480290931041
Nicaragua | NIC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.11793097794058 | 41.48680796292884 | 40.93078518848696 | 40.42806256466502 | 39.92891013468328 | 39.43329720104796 | 40.68801660185146 | 42.00477265042431 | 43.40527590003303 | 44.87334146951345 | 46.30303122780546 | 47.74665224299098 | 49.32680629424132 | 50.79950514979414 | 52.41038408672423 | 54.03726708074534 | 55.74999809265137 | 56.25 | 56.82102710745787 | 57.32165001552132 | 57.75000095367437 | 58.24999809265138 | 58.67665530004332
Netherlands | NLD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 61.2535639163966 | 62.30440588290318 | 64.7058829968263 | 65.42324314301294 | 66.71428680419929 | 67.71428789411272 | 69.04422621884477 | 69.84571824058673 | 70.51460318076779 | 72.60083401271028 | 73.11385201842477 | 74.07912275081185 | 74.52574217568409 | 76.33378987937304 | 76.98630241498562 | 78.34482653387654 | 78.81705865524928 | 80.02736145160141 | 80.79018801675757 | 81.55738149163014 | 81.62692604752233 | 82.5531925715454 | 82.7926650206258
High income: nonOECD | NOC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71.99077070639036 | 71.26006595623969 | 70.60701832538736 | 69.82067332075636 | 69.13348492035392 | 69.13708970936037 | 69.39281822462462 | 70.00938626231996 | 70.23259578508008 | 72.29171047542852 | 72.48708879109074 | 72.17894348115043 | 73.13385737978318 | 73.65351161018374 | 73.69046447576771 | 73.84554220668085 | 73.94245717392137 | 73.31392926506287 | 72.35665675784004 | 72.3513749081279 | 71.50936007238462 | 71.45695334886496 | 71.20266832493847
Norway | NOR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.41935259507486 | 79.50937380618699 | 79.04624736306289 | 79.9999988862197 | 80.11610963782974 | 80.83573089433102 | 81.355926541434 | 81.66666560702846 | 82.1182988569341 | 83.102496587378 | 83.37950596603889 | 84.12256122376334 | 84.93724423704026 | 85.45197371781458 | 85.5524119423585 | 85.53191381143333 | 85.79545485332976 | 87.00564381203331 | 87.46517627832195 | 88.22695143679363 | 87.71428789411272 | 88.61671274901481 | 88.48920863309353
Nepal | NPL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88.27433816902466 | 88.17679895221856 | 88.17679895221856 | 88.17679895221856 | 88.17679895221856 | 88.39779005524862 | 88.72928514006387 | 89.28177132790917 | 89.73510421744683 | 90.39735420003649 | 90.47618403890166 | 90.45505147639795 | 90.42315611218984 | 90.29018181205105 | 90.36953436773 | 90.4494382022472 | 90.41713608517948 | 90.60022336930987 | 90.78498483104536 | 91.10604823969764 | 91.21004899273265 | 91.41876445187559 | 91.52348079358985
New Zealand | NZL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 72.13996806538896 | 72.72727366836004 | 73.05061920730901 | 73.01369758501438 | 74.01360751820259 | 74.69553399617877 | 76.1455556924231 | 76.1840298708856 | 76.77596052726211 | 77.42818010339448 | 77.4897638093596 | 78.29037062709904 | 78.62903064545189 | 79.89130496753405 | 79.67698294938218 | 80.61496895305734 | 80.63660213082706 | 81.19205196961656 | 82.13333129882814 | 82.79569517575142 | 82.88410044396495 | 83.19892507575814 | 84.03247251946866
High income: OECD | OEC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.26252089997756 | 68.96907234538567 | 69.39696652090595 | 69.75434680031165 | 70.54784720091557 | 70.93502673248967 | 71.45408119134544 | 72.00794974527133 | 72.21797401187065 | 72.82541558841595 | 73.26629940413771 | 73.67716683446456 | 74.06175657154753 | 74.73054045133541 | 75.07090755915071 | 75.47886867814222 | 75.81483062772111 | 76.12347692856837 | 76.62350139578665 | 77.34867080121298 | 77.9100623140741 | 77.9792223566895 | 78.2023629288696
OECD members | OED | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.56509772777179 | 66.14273258939726 | 66.47618916895138 | 66.6070310921753 | 67.49317672147433 | 67.92366687246702 | 68.33534865775759 | 68.84514980030143 | 69.0128320523515 | 69.5514134793631 | 69.89749350368292 | 70.24650799449216 | 70.7087725609133 | 71.25585801785962 | 71.52334556588006 | 71.90759551100307 | 72.25203656244433 | 72.5701543895675 | 73.06259032303717 | 73.72943067177034 | 74.26721576374652 | 74.31964330405178 | 74.65182808122755
Oman | OMN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.38442386991358 | 21.67487813169272 | 21.9631897159881 | 22.52142020297368 | 23.10513314598728 | 23.89705927039238 | 24.75369598139477 | 25.74626911701817 | 26.88442214667591 | 28.13688255209727 | 29.13992338677735 | 30.12987112070065 | 31.11111011380457 | 32.06806218675419 | 32.72251243546346 | 33.33333333333333 | 33.72395649655837 | 34.19689204939976 | 34.36293669448276 | 34.6886916082279 | 34.83709044350486 | 34.85784948213959 | 34.9633243453224
Other small states | OSS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.26313282159973 | 69.37362829035355 | 69.49877341329253 | 69.73251140237937 | 69.96442570678593 | 70.30757651580487 | 70.67146863241267 | 71.1287650377673 | 72.15958143664975 | 72.66241835183834 | 72.95250514354704 | 73.43160472789138 | 74.02517756059765 | 74.45645878699185 | 74.83812918012177 | 75.36362762188962 | 75.79065779139313 | 76.130252535671 | 76.51336109247208 | 76.84478537951084 | 77.21728565716617 | 77.34389694581493 | 77.41613949524047
Pakistan | PAK | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15.83924333359099 | 16.37010639520629 | 16.37010639520629 | 17.10843350513867 | 17.5270106201534 | 15.04211820640735 | 16.32653047205706 | 17.74580326133745 | 18.29121550946678 | 18.562874251497 | 19.11589078061014 | 19.04191571081473 | 19.32773084229792 | 20.38369267262534 | 21.43712529165305 | 22.94886990158438 | 24.67532511400408 | 25.17899715163209 | 25.81032318407136 | 27.43682269038892 | 28.86473277493788 | 29.07117000950404 | 29.43305086781373
Panama | PAN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 49.05422450045748 | 49.74554609819071 | 49.62500095367438 | 49.75369833034639 | 51.11111299491222 | 52.32273550158598 | 53.00613590544724 | 53.88409566602411 | 54.05078889049416 | 54.21245506552196 | 55.14705985475166 | 56.1576356994041 | 57.24907374230802 | 57.9925663034116 | 57.73955665720428 | 58.99015187945253 | 57.62082002285981 | 58.59085368585095 | 58.50422087731777 | 60 | 59.51219419153719 | 59.70696045765932 | 59.82905871438463
Peru | PER | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 59.27835168107715 | 57.23598862135938 | 58.13060488205062 | 59.14249649557775 | 60.19900573049125 | 63.28800963812251 | 66.46266984741763 | 69.78155210584711 | 69.6172270636532 | 73.2613877173154 | 69.5652129844919 | 74.4934432220742 | 74.14215824916613 | 73.77048896431695 | 73.13997196462194 | 72.72727360300675 | 71.28834168603817 | 77.26190657842726 | 77.14958636371111 | 79.97630187163327 | 80.0947834739001 | 80.33175571800058 | 80.56871892253426
Philippines | PHL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.85024125655755 | 57.21153872605612 | 57.91366709036938 | 58.1423400190082 | 57.83132530120481 | 59.2105273965083 | 58.71121595610429 | 59.11270783581794 | 59.16666757492798 | 60.4819286300476 | 59.5354510343053 | 63.34134939418759 | 63.1257628812171 | 61.19760296301928 | 60.40914763503002 | 62.24999904632562 | 61.41235673238729 | 61.60714068496191 | 61.56763805611518 | 62.168975207836 | 63.43000920722604 | 63.78446062572888 | 63.98996480905738
Palau | PLW | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
[NAME] | PNG | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.94046016501171 | 96.18007785104635 | 96.6850808352248 | 97.47191643326646 | 97.60563810106733 | 97.34636652741602 | 97.61570195669887 | 97.22222222222221 | 96.56593420988925 | 96.70781690583789 | 96.32653476429633 | 96.20595808133763 | 96.2162120922192 | 95.95687314907488 | 95.9623151052764 | 95.83333546970046 | 95.70470208289638 | 95.56451211817522 | 95.55854250845859 | 95.55256663330432 | 95.2766530741261 | 95.2766530741261 | 95.27027027027027
Poland | POL | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.56033554945564 | 76.72778611439463 | 76.79082540207894 | 76.84515144238068 | 77.514796906303 | 76.84210296860316 | 76.86453933899479 | 76.26339496123491 | 76.50695878640971 | 76.93523120048779 | 77.48031616210945 | 77.68987006549746 | 77.36757841606313 | 77.25806697722403 | 76.65056303335889 | 76 | 74.91961077577137 | 74.59807227771823 | 74.1269853379992 | 74.29467412649265 | 75.1166359948409 | 75.07740115416443 | 75.46296176378408
Puerto Rico | PRI | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.58043181740977 | 50.16233828562797 | 51.80921117643575 | 54.54545341951083 | 54.75410086209656 | 55.05804507960046 | 54.70779480148409 | 55.76922818283592 | 55.60897422181714 | 60.09933496691627 | 58.48739367573192 | 59.89933167270263 | 61.3065293239353 | 62.0632282596842 | 61.02819187838919 | 62.4590138920018 | 64.99162268210006 | 63.99317572774466 | 64.85061605683134 | 66.02112764736138 | 65.36312472148977 | 66.34615384615384 | 65.95744288376348
Korea, Dem. Rep. | PRK | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.1444791176358 | 86.8331456583072 | 86.3945573523751 | 85.97284919474936 | 85.6497209624382 | 85.32731351705708 | 85.10158332327993 | 84.97174796411548 | 84.85875533798993 | 84.71121230642896 | 84.77272553877397 | 84.73803979485099 | 84.78260546961236 | 84.84500897877267 | 85.20230861068463 | 85.36585517140485 | 85.51401665079736 | 85.78143514561789 | 85.950419922971 | 85.83234895824982 | 86.00236936585526 | 85.8837472181672 | 85.8669901095135
Portugal | PRT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.77316449754794 | 70.08310334194968 | 69.67095808275401 | 71.1175601086098 | 71.90684675444207 | 72.71385990856875 | 73.52941176470588 | 74.59853791842497 | 74.13793046749446 | 74.92795224306943 | 75.75323034270532 | 76.21082952388879 | 76.84658707604437 | 78.11158409475382 | 78.56114888362748 | 79.94227862371454 | 80.17241445458974 | 80.86331045027266 | 80.83573089433102 | 82.11144062440219 | 82.91605003219732 | 81.32352828979485 | 82.44048220500409
Paraguay | PRY | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.96589392120239 | 59.62596243467494 | 60.06600391373665 | 60.61605891000379 | 61.05610458565213 | 61.49615026130045 | 59.39933328088654 | 57.15896562265242 | 55.21191188774992 | 56.81557473109664 | 58.93886998015301 | 60.85946858829349 | 61.62790697674419 | 62.28172182730657 | 62.9370606985004 | 63.71061892463814 | 64.60280399862273 | 65.38011874371801 | 64.61001049374794 | 66.20370341753606 | 64.69893885657073 | 64.97641095660191 | 65.33018812754692
Pacific island small states | PSS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.81416325018036 | 52.98815742734683 | 54.17561604138612 | 55.44292563330762 | 56.69285928012898 | 57.978041307065 | 59.255246104829 | 59.24515852285796 | 59.31140857871228 | 59.42724662979858 | 59.50089752750029 | 59.58728064114292 | 59.71646818545902 | 59.87074813611869 | 59.96214191755088 | 60.03089319108293 | 60.09418363737204 | 60.20085256848762 | 59.9967268310345 | 59.91931101851107 | 59.97935110108946 | 60.12578348156033 | 60.34308382638481
French Polynesia | PYF | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 66.346150016946 | 66.89750869613634 | 67.50349175163454 | 68.2137848675946 | 68.83852623868789 | 69.32952857632775 | 69.92805535844762 | 69.68390957369552 | 69.49640177994316 | 69.45244914002771 | 69.46454567285795 | 69.57787679826605 | 69.9413532219651 | 70.57949159893738 | 71.12781840159474 | 71.73252062893117 | 72.50384311714339 | 73.02325344824978 | 73.36448709194323 | 73.20872622142214 | 73.4375 | 73.32293466274446 | 73.47893852624138
Qatar | QAT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.20828814950696 | 44.91525512767637 | 44.60888101862263 | 44.84210365696958 | 44.74789899130105 | 44.43277373218606 | 43.82259908908087 | 41.98717935655343 | 41.59482457408168 | 41.6034672331981 | 41.34929202291608 | 42.54624355268438 | 43.1670288008825 | 44.50430805915604 | 45.12325519514324 | 47.50265832919505 | 50.47518561503792 | 52.73684049907484 | 52.67575986925802 | 52.40585698093203 | 52.82426862555896 | 53.0334744478725 | 53.13807536389454
Romania | [NAME] | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 77.24550316882551 | 77.07100539960253 | 77.1723127368525 | 77.92397375443716 | 78.87120289939081 | 79.77208323995836 | 80.83915977211258 | 81.94254825748695 | 81.35359155320664 | 81.85595702516157 | 81.84357503205997 | 81.74037158961424 | 79.16666176093476 | 77.86377774793723 | 77.81249880790703 | 76.8 | 76.886796696664 | 76.17554710861198 | 75.03900096587424 | 74.72699323888038 | 74.72868335339457 | 75.82417371831698 | 74.96136365941153
Russian Federation | RUS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.11270785099666 | 77.3509953985151 | 76.54155447996318 | 75.86206896551724 | 75.21367739658086 | 75.39341861591879 | 75.73099134721824 | 76.50602118926393 | 76.68712015384229 | 78.71720291709795 | 79.09356325621214 | 78.8375599535687 | 80.23773781773934 | 81.02940952076632 | 81.43274783680465 | 81.80495379829485 | 82.12208938057083 | 81.57142639160158 | 80.3672303294713 | 80.62235142913565 | 79.66101567064638 | 79.91573590549663 | 79.83193106703278
Rwanda | RWA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 99.88764216390888 | 99.55005453429327 | 99.09909569339597 | 98.64712853491706 | 98.30508474576271 | 97.73499441576725 | 97.27272553877397 | 98.28178700164456 | 99.19168942196764 | 100.1165483339911 | 101.1764705882353 | 102.1377709227997 | 102.1428607759021 | 102.2672957366253 | 102.1479658195854 | 102.145405708733 | 102.1403128233251 | 101.8934893184865 | 101.6470606186811 | 101.5240274042833 | 101.28504496931 | 101.28504496931 | 101.1695906432749
South Asia | SAS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 43.12598918650981 | 43.4771570395459 | 43.71945055084552 | 43.94660548137843 | 44.15545258313619 | 43.73280866954762 | 43.49535287363114 | 43.32812297439004 | 43.21028844702619 | 42.89601187561721 | 42.63234902201234 | 43.16872622232405 | 43.71810582114674 | 44.32025649027911 | 44.9188072336922 | 45.53577762720815 | 44.34825147970189 | 43.06359080161239 | 41.90347219302546 | 40.83902127406186 | 39.7436935640347 | 39.89495348012755 | 40.02070960378576
Saudi Arabia | SAU | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.91044694681414 | 17.97752795611187 | 18.05728449431558 | 18.69510688715142 | 19.24050608767734 | 19.82097264052184 | 20.38961014190273 | 21.16402159118696 | 22.0270259960277 | 23.03448381095103 | 21.69811461407494 | 21.54471403934662 | 21.54471403934662 | 22.16216164666256 | 22.94197078281605 | 23.75168791348407 | 24.72972869873041 | 24.12868682060931 | 23.66310165882213 | 23.26203062650998 | 23.5685767277862 | 23.87267856197856 | 24.10596127541655
[NAME] | SCE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Sudan | SDN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34.95518536547286 | 34.80519381436429 | 34.69656751742124 | 34.63087145914161 | 35.4194419732723 | 36.61784362016505 | 38.10160272357135 | 38.36898341177949 | 38.58477841091229 | 38.80000050862627 | 39.01464691395042 | 39.09574576015661 | 39.25729414118161 | 39.47019766498079 | 39.68254048347555 | 39.89432229909853 | 39.97361215984522 | 40.23746539848286 | 40.31620522568279 | 40.57970832393055 | 40.65789423490828 | 40.92105313351276 | 41.05263258281513
Senegal | SEN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69.61883475192748 | 69.92143692926706 | 70.52868356215657 | 71.0259325451403 | 71.5575650313326 | 71.638419803253 | 72.02717585053924 | 72.33560254486156 | 72.33560254486156 | 72.22222558615296 | 72.53121751715942 | 72.84090735695578 | 73.37883831664139 | 73.37883831664139 | 73.49260222151646 | 73.60636612639156 | 73.94766652064637 | 74.06143042552145 | 74.17519433039655 | 74.51649472465134 | 74.74402253440151 | 74.85779511890614 | 74.88636537031694
Singapore | SGP | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.93442473116735 | 61.78660071941589 | 62.15880821661196 | 61.76836436998783 | 61.86335308951615 | 62.99112775889883 | 63.74999999999999 | 63.63636801503374 | 64.07643214912166 | 65.26717586890402 | 67.09183348262879 | 66.66666666666666 | 65.93264706992694 | 67.2323773183873 | 68.33114460269451 | 69.75228439200883 | 71.18862711610964 | 71.2998760640649 | 72.96248292269163 | 72.20077307273336 | 73.93548288652967 | 75.16170269129104 | 76.12903225806451
Solomon Islands | SLB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 68.35279092856072 | 68.22308627123577 | 68.3116863300274 | 68.22308627123577 | 68.13471574278186 | 68.175936199709 | 68.12903127362645 | 67.86632026471051 | 67.73367805302536 | 67.68837539503795 | 67.4300267543264 | 67.3857822559267 | 67.55386337930335 | 67.72151898734177 | 67.97468451005 | 67.88875069385541 | 67.80303387894429 | 67.67676835789413 | 67.4653189673668 | 67.33921749161296 | 67.33921749161296 | 67.33921749161296 | 67.50948490011616
Sierra Leone | SLE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.76399500499711 | 95.60605829412287 | 99.07406469867547 | 99.22600617366841 | 99.68943389301577 | 101.2539173144627 | 100.7824725947738 | 104.3062212601045 | 104.6325904098508 | 106.4516129032258 | 106.2801958481596 | 103.6507984948537 | 100 | 98.91974607304017 | 98.198202739136 | 97.76119402985076 | 97.47399034093758 | 96.89808187771915 | 96.61764257094441 | 96.19325624107907 | 95.77259243384255 | 95.4941773749872 | 95.3555812673897
El Salvador | SLV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 48.85679809821502 | 48.97713779816043 | 49.0974729076155 | 51.62846616317566 | 53.18893089595449 | 51.32529936641097 | 50.98522547022721 | 51.54894677480806 | 55.44554151608523 | 56.53266440027639 | 56.92503300416091 | 57.27155952096433 | 57.75749804391063 | 57.90816408452862 | 56.71834710649303 | 57.52896077037845 | 58.27984677355457 | 58.01526636051376 | 57.80856504255693 | 58.63808097163656 | 59.59596285563629 | 59.92414973482789 | 60.25316262546975
[NAME] | SMR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Somalia | SOM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44.75703499472674 | 44.94238048641153 | 45.07042439264994 | 45.25640927828269 | 45.57124429350192 | 45.75835099959776 | 45.9459487324306 | 46.13402054253839 | 46.32258261403729 | 46.51162699003733 | 46.76165790307466 | 46.95201229490318 | 47.14285615202662 | 47.39583343681362 | 47.58800710856678 | 47.84313526028902 | 48.03664925387226 | 48.29396418750041 | 48.35742440858901 | 48.61660182351572 | 48.81266294242184 | 49.00924698780003 | 49.20635120868894
Serbia | SRB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 65.82466155757987 | 65.63421533481227 | 66.02373737768208 | 66.51718831842788 | 66.9172932330827 | 67.22054690545058 | 67.78114955259055 | 68.14024665042248 | 68.60642747834379 | 68.97081809261147 | 69.33744058858954 | 69.86090091951313 | 70.12383948462131 | 70.65217223902704 | 70.91756813357493 | 71.1838051951664 | 71.45085854495176 | 72.88401341075381 | 73.22834645669292 | 73.61563459227047 | 72.68211989542677 | 72.77227654214177 | 72.86184176472413
Sub-Saharan Africa (developing only) | SSA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.0385519404173 | 76.57918934233288 | 77.27255976307876 | 77.80194154067019 | 78.31379240504234 | 78.69035160841284 | 79.0665639361195 | 79.58356136456527 | 80.10835047476019 | 80.58118211833217 | 81.34957332621578 | 82.0736092215216 | 82.59684112689808 | 83.09596481618401 | 83.59859487297085 | 83.78107319413105 | 84.01272121280672 | 84.01887782707236 | 84.00756664114941 | 84.07708355178424 | 84.11931919033768 | 84.25120302420275 | 84.25099334610873
South Sudan | SSD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Sub-Saharan Africa (all income levels) | SSF | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.05073228970981 | 76.59042436534344 | 77.28268907509708 | 77.81104813910268 | 78.32211658569517 | 78.69804543205073 | 79.07365305493562 | 79.59002517558679 | 80.11426938373981 | 80.58664214449217 | 81.3544541899361 | 82.0778805344576 | 82.60080065602986 | 83.09954933147812 | 83.60188901065054 | 83.78429217859637 | 84.01581101278032 | 84.02208006161743 | 84.0107876855944 | 84.08036069831796 | 84.12267849793263 | 84.25442400896068 | 84.25433307658186
Small states | SST | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.78158268251883 | 68.99924343902508 | 69.02465501178673 | 69.1403146489363 | 69.6027708155448 | 69.64131929001331 | 69.98762168268989 | 69.99629225724324 | 70.4155767693949 | 70.73355990146678 | 70.86610557103222 | 71.20052736233828 | 71.64331638480267 | 72.07198993160584 | 72.51082618333753 | 73.11924459960137 | 73.5559560699571 | 73.78625003011425 | 74.25857063607916 | 74.40793924984573 | 74.83641292981102 | 74.98879930270878 | 75.19832841239611
Sao Tome and Principe | STP | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.64398010325845 | 48.09461131141476 | 48.75164154797913 | 49.34383199471829 | 50.06570202110787 | 50.65963058030299 | 51.26161608199301 | 51.6733601754577 | 51.95681618461282 | 52.30978369318472 | 52.79672462716418 | 53.13351388180779 | 53.66847937352718 | 54.05405405405406 | 54.49664224714241 | 55.00667546542623 | 55.37848482459798 | 55.87846888023253 | 56.37319630232012 | 56.80628358518823 | 57.36636473361475 | 57.71725146653095 | 57.93548583984374
Suriname | SUR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60.58495564219205 | 57.52840784401443 | 54.41389190218698 | 46.8795334132592 | 51.64178876734493 | 48.80952489078717 | 50.00000000000008 | 51.26299916133347 | 52.61584448443263 | 54.38066715946563 | 54.75112755081251 | 55.12047836302612 | 55.25525537565883 | 55.5389173341435 | 55.73770845956607 | 56.16641533877792 | 56.50887814378189 | 56.91176582785221 | 57.3938492114469 | 57.95620549334234 | 58.3697238070214 | 58.57557768819148 | 58.72092984572433
Slovak Republic | SVK | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 81.69209815867045 | 81.64383352619329 | 80.53221116411201 | 78.82689166139942 | 74.27746212810281 | 74.74600705292661 | 76.12809542984802 | 76.06461145038818 | 75.5131998599413 | 76.24633772265918 | 77.23935338135111 | 77.0348803038983 | 76.75438425266235 | 76.85589750002379 | 76.64233576642336 | 74.85380061514788 | 74.19354946968994 | 74.33628209043601 | 74.56140184544341 | 73.75366787073872 | 74.8159029388224 | 73.79209264117563 | 74.2358111579289
Slovenia | SVN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.79966280369662 | 79.46577172215302 | 79.26421760972731 | 79.46127870447242 | 78.60394239402052 | 79.03468946294359 | 79.68992484632388 | 81.29830132171307 | 80.33282859289378 | 79.69230651855462 | 80.00000119209297 | 78.79257388259776 | 79.31570385610704 | 78.89763539231669 | 79.54545454545455 | 79.99999884403107 | 80.97412973222804 | 80.30075417425398 | 81.58295428285429 | 81.43074959675684 | 80.9451215079964 | 81.59126440256536 | 82.36220352292992
Sweden | SWE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.64045533771535 | 87.1831007406745 | 87.17579059049424 | 86.89248700165813 | 86.20177619997979 | 86.68639023202729 | 87.11110998083036 | 86.52694101267639 | 85.45727527428645 | 85.92814207119778 | 85.56700613913432 | 86.96296409324371 | 87.09198729083269 | 86.94361594579645 | 87.72454460625819 | 87.07782755618605 | 87.13449874934818 | 87.82991819096083 | 87.82991819096083 | 88.01775346604191 | 86.63730003227649 | 87.6652013224733 | 88.39941572952648
Swaziland | SWZ | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 56.8521075452748 | 57.06521857438334 | 57.27890948860014 | 57.41496702440748 | 57.62942555545673 | 57.92350176716378 | 58.08219387106699 | 58.45942473733158 | 58.92115722820206 | 59.16666454739041 | 59.55369955421781 | 59.72028078732797 | 60.02804685154263 | 60.196905985362 | 60.36671130597685 | 60.5932198823737 | 60.82037037636548 | 61.04815779835986 | 61.18980410286377 | 61.33144500411343 | 61.52758398539299 | 61.49505999404929 | 61.43057133569179
Sint Maarten (Dutch part) | SXM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Seychelles | SYC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Syrian Arab Republic | SYR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22.34567948329593 | 23.39901565773557 | 24.57002410944863 | 25.85784408827094 | 27.1393642233641 | 28.38002395871534 | 27.75061114432525 | 27.23926473980307 | 26.72413987499448 | 26.23762371563214 | 25.3416144329569 | 24.81202817024749 | 24.52591655216951 | 24.5838682945705 | 22.82749770400736 | 21.41918470944983 | 19.8938988016488 | 19.94645278078679 | 19.864864607115 | 17.93103448275862 | 18.15680930311822 | 18.26923026538769 | 18.43191221599397
Turks and Caicos Islands | TCA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Chad | TCD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.55390257253362 | 78.93432858962086 | 78.43866373087799 | 80.54862959135932 | 80.64918814573039 | 80.74999809265137 | 80.72590584257875 | 80.82706457813754 | 80.7017532118507 | 80.80301630086733 | 80.90452608088444 | 80.88050698334315 | 80.88050698334315 | 80.85641777641206 | 80.85641777641206 | 80.85641777641206 | 80.83227743671597 | 80.83227743671597 | 80.83227743671597 | 80.93434462631474 | 80.93434462631474 | 80.80808392180178 | 80.80808392180178
Togo | TGO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 78.81656624156342 | 80.40379976481168 | 82.00238593623443 | 83.59281802605724 | 84.97596098738308 | 86.48974140954581 | 87.89346224608825 | 89.30740859605612 | 90.73170917790111 | 91.93153318180252 | 93.3742312565903 | 94.5879442057613 | 95.80246725200135 | 97.0297011940191 | 98.13895778114485 | 99.253733255306 | 100.3740686573235 | 100.1243762092329 | 100 | 99.75246959148184 | 99.62962586202741 | 99.50677986016666 | 99.38423643005959
Thailand | THA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.05612525000906 | 85.05214244529957 | 82.76670099446875 | 80.18979362624296 | 77.43096955221411 | 79.32285477008767 | 81.2652135423057 | 82.29548262533515 | 80.95823131517731 | 80.32378275057621 | 81.04089714876184 | 80.46682895844425 | 80.6650276621937 | 80.96415174856006 | 80.26960934413853 | 81.4039420669609 | 80.12345867392457 | 80.759807301686 | 80.7362000635065 | 79.48402424497817 | 79.60445032288182 | 79.60445032288182 | 79.70296917516995
Tajikistan | TJK | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 76.85185138463928 | 76.75033132939937 | 76.75033132939937 | 76.88243475456433 | 76.88243475456433 | 77.11640266370823 | 77.21854203584172 | 77.32095233055225 | 77.52659787630917 | 77.49667369566563 | 77.70360424202482 | 77.67379158249345 | 77.51004536987651 | 77.47989332347164 | 77.34584710877141 | 77.24230672046536 | 77.16955682182444 | 76.99468600474765 | 76.85185138463928 | 76.57894837228882 | 76.40890813269421 | 76.37075870146906 | 76.3328993474537
Turkmenistan | TKM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 62.03208507060148 | 62.43315355298245 | 62.70053424119045 | 63.13672846851357 | 63.7837848147831 | 64.17910609993402 | 64.57765741212813 | 65.24725001210435 | 65.20547736180973 | 64.8979602216864 | 64.59459356359527 | 64.19919085294171 | 63.89261540150484 | 63.53887733968529 | 63.18608124662071 | 62.83422203536328 | 62.4833087899077 | 62.05059843001077 | 61.83510889236404 | 61.45695566341575 | 61.29458837046404 | 61.10381200048644 | 61.04575263129347
Timor-Leste | TLS | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 51.87500000000001 | 51.50000095367437 | 50.87281893962059 | 50.37313337234699 | 49.87531361854585 | 49.6240563404951 | 49.62025413030317 | 49.93598048906862 | 50.51546589400044 | 50.91863620862723 | 51.08108005008175 | 51.65562913907284 | 50.75239295286068 | 49.78843226706532 | 49.05109266295051 | 48.55842072694583 | 48.10126463852334 | 48.09286959688143 | 47.82608695652174 | 47.98535072369568 | 48.2625489733862 | 48.15533832438933 | 48.3365978483316
Tonga | TON | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47.54967089520384 | 50.59760548473403 | 53.72340846461064 | 56.91489491218782 | 60.31957411113736 | 61.46666463216147 | 62.56684134715513 | 63.57526648787488 | 64.90514843513682 | 66.07629290429944 | 67.12141707306469 | 68.48567349648378 | 69.60651473715433 | 70.7547198911896 | 70.81660466804573 | 70.87766143627002 | 70.9549057258807 | 70.89947031211794 | 71.08752969417968 | 71.08752969417968 | 71.27659660812526 | 71.46666463216147 | 71.5240612530199
Trinidad and Tobago | TTO | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 50.58977317201017 | 66.066067579712 | 61.44067531776751 | 58.61601431717543 | 58.58854979226408 | 59.02503074625825 | 62.1192073190449 | 61.79183212517835 | 61.41732429313449 | 61.36662509766083 | 60.94364107489867 | 62.00527454848179 | 63.21380683265447 | 65.60846491432119 | 67.85243605356257 | 70.20997656514231 | 70.61923240653113 | 68.31812726308041 | 69.92084151211778 | 68.2959086488312 | 69.62864580577079 | 69.80132551382717 | 70.06622718659456
Tunisia | TUN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27.39187258531676 | 28.02631478560592 | 28.57142965269196 | 29.25532033617224 | 29.98661383353297 | 30.68640417306295 | 31.35135238235067 | 32.06521857438329 | 32.46575446978014 | 32.73480699370992 | 33.1476298404946 | 33.47397995475795 | 33.90070867876638 | 34.38395265141124 | 35.02170954750851 | 35.52631388153797 | 35.46511415148388 | 35.50724637681159 | 35.59077841479441 | 35.5300833134218 | 35.52068496509692 | 35.51136286667558 | 35.55240924073146
Turkey | TUR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42.20296681459006 | 42.44694213194624 | 40.95477273748912 | 34.27471147618601 | 39.71902831333482 | 39.79327988354424 | 39.53185827740184 | 37.58213003275624 | 38.28947418614435 | 39.73333231608066 | 36.17606649390155 | 37.51743481655724 | 39.26031178284506 | 38.11594092327609 | 33.42857088361471 | 33.28591550885459 | 33.90804726848483 | 33.95683508125137 | 35 | 37.02127713683645 | 39.03819175787944 | 40.27971921267203 | 41.52542140010595
Tuvalu | TUV | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS
Tanzania | TZA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 95.07658651545441 | 95.1807213813733 | 95.39474003422853 | 95.49945275214709 | 95.71428403749572 | 95.71428403749572 | 95.8195786711005 | 95.8195786711005 | 95.92510522766433 | 95.81497475325885 | 95.81497475325885 | 95.70484427885336 | 96.25550505329738 | 96.6960353533359 | 97.24366032622181 | 97.79005524861878 | 98.33887048803284 | 98.2281217614151 | 98.00664120606277 | 97.89590092838661 | 97.78516065071045 | 97.67441192409271 | 97.67184196765982
Uganda | UGA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 100.6105005991264 | 100.4884023424011 | 100.3658573801924 | 100 | 99.7563983532774 | 99.14944768933182 | 98.78640778946352 | 98.66505042020461 | 98.54368379197199 | 97.82082874622904 | 97.82082874622904 | 97.69975597944573 | 97.33978593781681 | 97.07316887087939 | 96.67488048064435 | 96.49999618530275 | 96.24530670499634 | 96.23588442299662 | 96.10552948046985 | 95.97484660598465 | 95.84382495171333 | 95.83858395364256 | 95.71248247788873
Ukraine | UKR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 79.34936477464149 | 79.08961032787731 | 78.96995644914678 | 78.59195684218045 | 78.49927724425841 | 78.48836861151902 | 78.73900757457963 | 78.96296183268223 | 79.4602735006523 | 79.81790175447128 | 80.18433484862574 | 80.27950238815453 | 81.25 | 81.34796574688818 | 81.50470316901502 | 79.6324618220676 | 79.66360437087303 | 79.69465765334274 | 79.45205964630735 | 79.63525698420021 | 79.27383167246835 | 79.36746920465066 | 79.5795814028349
Upper middle income | UMC | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 75.69165166601748 | 75.7383259366226 | 75.85595655338685 | 75.64013783141846 | 75.66323700744995 | 75.91167461265495 | 75.96076687987109 | 76.05974904430037 | 76.07244586089995 | 76.32486463276841 | 76.41348362663146 | 76.4281673881762 | 76.35491692486933 | 76.2859671575326 | 76.00529721615372 | 75.93060359218543 | 75.66502104226727 | 75.51876953672894 | 75.18299721098764 | 75.15034935895068 | 74.88220447889641 | 74.9590863536215 | 74.88988664540534
Uruguay | URY | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 58.06451612903226 | 58.50515775592366 | 61.08247739423136 | 61.09660596517065 | 62.27390156681547 | 63.25224390657048 | 64.51612903225806 | 65.79973663211547 | 67.01570646644106 | 67.80551840834586 | 68.60158035151177 | 70.104441034789 | 70.38512330945088 | 70.67567464467635 | 70.85020388810838 | 71.12011045633774 | 68.40051681458003 | 70.45751833448222 | 71.0560654086819 | 71.65149204266072 | 71.96871311505907 | 72.09908922731431 | 72.2656221284222
United States | USA | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 74.80106151791152 | 75.10040263186546 | 75.6358799306879 | 76.17765296011257 | 77.73279306373738 | 78.00269963196658 | 78.54251276842528 | 79.11051641132191 | 79.24528524991196 | 79.62213389330276 | 79.72972972972973 | 79.99999896198707 | 80.27397051249466 | 80.91285965523582 | 80.72122329354733 | 80.97222116258402 | 80.88643212512035 | 81.08483727371915 | 81.58996163169877 | 82.31966516992405 | 82.52148417731414 | 82.25107862899898 | 81.96247725218501
Uzbekistan | UZB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 63.02864780280741 | 63.38798286929864 | 64.04958812302914 | 64.22651798339932 | 64.812235723456 | 65.04178102788562 | 65.27196824128714 | 65.36856606753106 | 65.55555661519375 | 65.60332904034377 | 65.6509744174344 | 65.7894764650076 | 65.7894764650076 | 65.7894764650076 | 65.60773342390253 | 65.42699862029858 | 65.15774897911064 | 64.80218011240711 | 64.45047756699115 | 64.10256542257426 | 63.89261540150484 | 63.77005189416038 | 63.69681312466936
St. Vincent and the Grenadines | VCT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 54.70296917517003 | 55.12978693808073 | 56.3432815638436 | 57.26707884983988 | 57.9925663034116 | 58.85997744270626 | 59.47955615262948 | 60.82602946932359 | 61.68341635092379 | 62.51572423011258 | 63.14465504772264 | 63.89937010951006 | 64.86145971069605 | 65.61712528070936 | 66.75094849001155 | 67.38305975378557 | 68.48793343832878 | 69.47637216555339 | 69.98722490577255 | 70.4081628681074 | 70.70063694267516 | 70.91836402039891 | 71.22762523866255
Venezuela, RB | VEN | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46.16336364884462 | 47.7300632219373 | 47.03703515323593 | 45.5457975244767 | 46.04938177414876 | 50.18270588144559 | 53.21212306167139 | 55.8645737216336 | 57.45192426725249 | 58.44311285875509 | 59.41676757305354 | 63.55932320803669 | 65.43062411642535 | 64.77683929375559 | 63.99026815930547 | 63.31288156333878 | 62.6237581225194 | 62.62499809265137 | 63.24999809265137 | 64.23173680088348 | 63.68221696919669 | 63.93442473116735 | 64.26768117067282
Virgin Islands (U.S.) | VIR | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 64.52830092712011 | 64.9937280056608 | 65.41353228906883 | 65.50000190734863 | 65.74999809265137 | 65.87500095367437 | 66.29072619404323 | 66.66666666666666 | 67.04545520225507 | 67.63959032089343 | 68.43466938863976 | 69.0012993720049 | 69.83094889129231 | 70.53455101260073 | 71.33507710931035 | 72.141921979865 | 72.78731928059946 | 73.43957104364232 | 73.93047724716763 | 74.32795443938967 | 74.69553399617877 | 74.7612509625214 | 74.72527368879743
Vietnam | VNM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87.7068537665988 | 87.69230588653384 | 87.67772353334611 | 87.76722589586944 | 87.85714649018786 | 87.82815727185974 | 88.02395209580838 | 87.99519851903658 | 88.20698483476484 | 88.19276740752072 | 88.28501905782143 | 88.37772560355577 | 88.36363821318656 | 88.4568655556118 | 88.55054604070195 | 88.64468513004951 | 88.61689624265844 | 88.82064090474493 | 88.80688098163749 | 88.91625574107263 | 88.92988971443168 | 88.8480408770999 | 88.88889095899995
[NAME] | VUT | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.21679890517754 | 88.61047875578656 | 88.21509968886213 | 87.70115293305494 | 87.06697789193483 | 86.542924727612 | 85.99766577909297 | 85.34583874233238 | 84.7877345971257 | 84.1043878519771 | 83.53221652839984 | 82.73381143594992 | 82.14716190670069 | 81.45454175544509 | 80.75518183189291 | 79.92656730835135 | 78.99263126096548 | 78.17509583074747 | 77.13226248323112 | 76.27329382096758 | 76.30273097306114 | 76.3975155279503 | 76.58779285520058
West Bank and Gaza | PSE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 14.77104941030525 | 14.70588235294118 | 15.00742930680432 | 15.22388031233597 | 15.24663613844528 | 15.26946009472779 | 15.24663613844528 | 15.51204812355396 | 15.9332318010291 | 16.79626699557311 | 16.41104342038404 | 15.67164179104478 | 16.00609793328304 | 18.25037680921931 | 20.4783251073104 | 21.13095305674197 | 21.66172114382502 | 22.25475714510075 | 22.97687907475289 | 23.42342453285705 | 22.20543880199594 | 22.50755333142948 | 22.92609217136696
World | WLD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67.32918957930676 | 67.4462070138036 | 67.58545796805817 | 67.58399680878095 | 67.80231487500576 | 67.89250276970834 | 67.95081098891497 | 68.06956921119924 | 68.19324024605372 | 68.4074069858261 | 68.50341486117365 | 68.69218424197717 | 68.84333862371597 | 69.04260300708003 | 69.10943163493167 | 69.24972586975173 | 69.03994162628108 | 68.85883032334046 | 68.62725746964492 | 68.5513012638914 | 68.34853979755775 | 68.39149530718697 | 68.40229642944614
Samoa | WSM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 52.15124066692249 | 52.07254190682301 | 51.16883315049208 | 50.26041268267583 | 49.41176370857581 | 48.49278967250002 | 47.63157995123618 | 46.69312162637697 | 45.8776614362701 | 44.91978222363388 | 44.0700837033042 | 43.26530508443606 | 42.56198384018544 | 41.89944223370775 | 41.27659628577263 | 40.89595445824564 | 40.41297696935711 | 40.03021332571776 | 39.90683253728192 | 39.83999938964848 | 39.83471137433008 | 39.96569389704042 | 40.0684914505713
Yemen, Rep. | YEM | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21.98100601593835 | 21.86234965793857 | 22.32746909243554 | 22.53711350449198 | 22.74562439352481 | 24.15196740043426 | 25.71819374759096 | 27.34806466817977 | 29.00976307164325 | 30.80168788822328 | 31.12676110066155 | 31.59379285817669 | 32.01692563385048 | 32.3943661971831 | 32.81690033388803 | 33.09859154929578 | 33.52112568600071 | 33.75527498602619 | 34.12921387444023 | 34.36184986165437 | 34.83146109555103 | 34.96503496503497 | 35.09749260703208
South Africa | ZAF | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 57.77126581952787 | 59.52732799658844 | 61.75595518547943 | 63.62275158441275 | 65.41353383458647 | 67.22054690545058 | 69.0440044711261 | 70.99236641221374 | 73.38461655836846 | 75.42504101831541 | 76.89922244049782 | 78.19315132274937 | 77.25856827393378 | 75.63694359405116 | 73.52941084806386 | 74.7588415267448 | 76.03833807407996 | 74.95961289513083 | 73.31240220346974 | 72.88961467221777 | 72.62103320849913 | 73.90572457603879 | 73.6666679382325
Congo, Dem. Rep. | COD | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 89.88016161313239 | 90.7999979654948 | 91.72229045216437 | 93.16354077957483 | 93.69127926410444 | 93.69127926410444 | 93.82550540386431 | 94.48182242918683 | 94.87180094384156 | 95.53450205193542 | 96.46739330431468 | 97.13896671598746 | 97.2714871531618 | 97.26775944893257 | 97.13114950591329 | 97.1272250096359 | 97.1272250096359 | 96.9904281885573 | 96.8536313674787 | 96.8536313674787 | 96.71682410947172 | 96.71682410947172 | 96.5846993111657
Zambia | ZMB | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 85.58139357455941 | 86.01398651144436 | 86.56542032126704 | 86.4485996718469 | 87.4560325969224 | 87.9108030618588 | 87.67605589659986 | 87.57326409814571 | 87.9108030618588 | 87.8077360447825 | 87.5878240225687 | 87.14953248121195 | 86.81447395011247 | 86.37950597228817 | 85.93023433241733 | 85.38283187911638 | 85.36585517140485 | 85.36585517140485 | 85.34883898358012 | 85.33178317776266 | 85.33178317776266 | 85.31467872336228 | 85.41423518655517
Zimbabwe | ZWE | Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 84.4025138039259 | 84.21051927110416 | 84.12500381469725 | 84.03990534984199 | 84.05977264595185 | 84.05977264595185 | 84.05977264595185 | 84.05977264595185 | 82.68507408936901 | 81.36881585127072 | 84.27518082086472 | 86.75416980992252 | 88.86311042460324 | 90.61085643835877 | 92.13731355086883 | 92.23085447441981 | 92.33333163791232 | 92.42761378544887 | 92.5306608961111 | 92.633930148975 | 92.73743016759776 | 92.74553559074292 | 92.75362294187082