Replication Data for: The Missing Men. World War I and Female Labor Force Participationdoi:10.7910/DVN/AP1HZ8Harvard Dataverse2020-05-163Gay, Victor; Boehnke, Jörn, 2020, "Replication Data for: The Missing Men. World War I and Female Labor Force Participation", https://doi.org/10.7910/DVN/AP1HZ8, Harvard Dataverse, V3, UNF:6:pJJjixFOCrgCCGIrg+ijxQ== [fileUNF]Replication Data for: The Missing Men. World War I and Female Labor Force Participationdoi:10.7910/DVN/AP1HZ8Gay, VictorBoehnke, JörnSTATA SEANR-17-EURE-0010Harvard DataverseGay, VictorGay, Victor2020-05-16Social SciencesWorld War I, Sex ratio, Female laborWorld War IFemale laborSex ratioNecessary files to reproduce Boehnke and Gay. 2022. "The Missing Men. World War I and Female Labor Force Participation." Journal of Human Resources, 57(4).1901-01-011936-12-12census datamilitary dataprogram source codeSee the README file for more information. To explore the data, use the Tree view. To download all replication files, use the Table view, then click "Select all 155 files in this dataset." A comprehensive dataset of WWI French military fatalities is available at https://doi.org/10.7910/DVN/2APQZ6.Attribution 4.0 International (CC BY 4.0)Boehnke and Gay. 2022. "The Missing Men. World War I and Female Labor Force Participation." Journal of Human Resources, 57(4).10.3368/jhr.57.4.0419-10151R1Boehnke and Gay. 2022. "The Missing Men. World War I and Female Labor Force Participation." Journal of Human Resources, 57(4).boehnke_gay_2020_census68-1.tab63905211text/tab-separated-valuesUNF:6:aOm8XIet9F7tToARDhTgPQ==boehnke_gay_2020_census68.tab63905211text/tab-separated-valuesUNF:6:v71IQI9G8z+VGQbwtVjFOQ==boehnke_gay_2020_destruction-1.tab8666text/tab-separated-valuesUNF:6:cIq4SvFqUdUzj3DEGh0GsA==boehnke_gay_2020_destruction.tab8666text/tab-separated-valuesUNF:6:nvexIolIPQCBX6CVeMASCw==boehnke_gay_2020_famsurvey54-1.tab4068813text/tab-separated-valuesUNF:6:pRkX5hzG1wSqjoD4C7ebMg==boehnke_gay_2020_famsurvey54.tab4068813text/tab-separated-valuesUNF:6:McNyEpeJwDkS3/TdGYy8iA==boehnke_gay_2020_losses-1.tab482text/tab-separated-valuesUNF:6:5b3YogwR4tV2GuN4oPy4lQ==boehnke_gay_2020_losses.tab482text/tab-separated-valuesUNF:6:5b3YogwR4tV2GuN4oPy4lQ==boehnke_gay_2020_main-1.tab609202text/tab-separated-valuesUNF:6:QRvluPoYkKtvCwAi5aMukw==boehnke_gay_2020_main.tab609202text/tab-separated-valuesUNF:6:tTLJE75VjgpF3hoBlazqQQ==boehnke_gay_2020_nat-1.tab5110text/tab-separated-valuesUNF:6:QeZAILOt1oa23fJuMq+AWQ==boehnke_gay_2020_nat.tab5110text/tab-separated-valuesUNF:6:O02EIJZ3g7RC3S0AWHSDTw==boehnke_gay_2020_recruits-1.tab69613text/tab-separated-valuesUNF:6:AHs7wcOkuMv5bgSpBS4OWQ==boehnke_gay_2020_recruits.tab69613text/tab-separated-valuesUNF:6:PO9R4dpVtK+JQYd3U/7UdQ==boehnke_gay_2020_sexratio_dep-1.tab20886text/tab-separated-valuesUNF:6:dtwPGmmbhz5CvS8EnPUxzw==boehnke_gay_2020_sexratio_dep.tab20886text/tab-separated-valuesUNF:6:otg9aAwU4tmPBvWFx3HNCw==boehnke_gay_2020_warindus-1.tab126text/tab-separated-valuesUNF:6:hJ22i6RNVknFNU3WI7EopA==boehnke_gay_2020_warindus.tab126text/tab-separated-valuesUNF:6:uqetDmDTYxty1SC5cbH7nw==dep_birth55.025.319539878190795.0639052.00.0.1.050.055427414350156UNF:6:HhiUF3ht2WREQmHwCg9sUA==birth_yr639052.03.12991964336555160.01908.01903.2038347427124.1898.01903.0UNF:6:8y/nZLkID4E19L6FKdZD2g==educ_yrsUNF:6:qALFAKCajqkhKZEsJM0gAQ==weight4.0.4.00.0639052.00.04.04.0UNF:6:wAwiH5wEJQ1VhdeaGbJMfA==regm_id639052.0.0.010.9513983212694876.9349556501178140.011.023.0UNF:6:BlXCzt2r+dEWEOqkCBCFrg==deathrate0.00.286077710.14694192.0.144039935218400750.0599797740.04048766411229414639052.0UNF:6:zvzWz1w1i9RfoF7eo8lC2w==rural.0.00.23745413887181310.00.5778087942561080.668302639052.00.88913888UNF:6:H3wayoWVICM/c+fQ9PaK8g==bindep0.809779580.173250101741568190.267226520.94166028639052.00.7572345898664607.0.0UNF:6:z1ZtiebeW14I2Tnw7Mr+6A==flfp0.097382861095022310.351262450.00.56177801639052.0.0.144375290.3525814844659481UNF:6:wL1/xAznz73lB9h3j3AnVg==wealth0.0.16684.0243.04726.1773621611553771.41910526405263618.0639052.0UNF:6:I1NAPwlJ/o3A81/VJAJYqQ==single0.0639052.00.00.28347123723374730.00.08812115446005309.1.0UNF:6:NI0qQGf4Tsh5VTBfAQPjbw==D��partement of birth (DN)95.00.025.3195398781907639052.01.0.55.050.05542741435015611538382822441775678686892099494365635359673404054104747326995952551424210260909015598787729399306171711058355175143435361747440961919580744449986626220296336380929261978585805325255150441713484824687070427837374774919125886666356584843354464628002424742279795670343471408888762188466061614221787840195858459276761484872726427121262584141439616165492838344053838773786865481313158261717655869691071033331154839394196181853533030601050507618636372355252329245455614222210849664675606062905757962265652981202050185555398959593252510103309898940622727480656561049167671274514146009212149393232282429291612223234346494969811313107032828428111114560535348395151679873733984228661757538282262641057777530281815113808080616464747915153908545481809393445436364767UNF:6:HhiUF3ht2WREQmHwCg9sUA==Year of birth (AD).1908.01903.03.1299196433655516639052.00.01898.01903.2038347427124UNF:6:8y/nZLkID4E19L6FKdZD2g==Years of education (EG,FPTG)1.67249110466192865.0.16.05.0639052.00.05.8266682523492041313 years077 years055 years38856911 years01010 years033 years01616 years379500 years066 years1862001414 years044 years02147483623Current student01212 years907188 years099 years358301111 years1558722 years01515 years0UNF:6:Poo7JvaqWht0s5fs/H4O/w==Sample weight (SOND)4.0639052.00.00.0.4.04.04.0UNF:6:wAwiH5wEJQ1VhdeaGbJMfA==Military region id6.9349556501178140.023.011.0639052.0.0.010.951398321269487UNF:6:BlXCzt2r+dEWEOqkCBCFrg==Military fatalities / male population 15-44 in 19110.00.286077708005905150.059979774057865140.040487663900532746.0.14403993492094214639052.00.1469419151544571UNF:6:zvzWz1w1i9RfoF7eo8lC2w==Share of rural population 19110.88913887739181520.57780879407553980.00.23745413917113667.639052.00.66830199956893920.0UNF:6:3xFmDKIx9I4eWWBubEA7mA==Share of population born in d�partement 1911.0.75723459029856250.80977958440780640.94166028499603270.1732501020487631639052.00.267226517200469970.0UNF:6:e7x6KVgpYo3pH8mRjK842A==Female labor participation, corrected, 19110.3525814844422332.0.0639052.00.56177800893783570.35126245021820070.097382860521273620.1443752944469452UNF:6:TlbBYOIffQ4NVE80v0QXtQ==Average per capita wealth 19083618.00.04726.1773613303053771.419105354849639052.016684.0243.0.UNF:6:I1NAPwlJ/o3A81/VJAJYqQ==Indicator for single marital status0.088121154460053090.01.00.28347123723374730.0639052.0.0.0UNF:6:NI0qQGf4Tsh5VTBfAQPjbw==D��partementUNF:6:sUhaGF1JX336U1JkcVTAXA==D��partement id89.01.044.3372093023255643.5.26.01927360975333886.00.0UNF:6:o2Gb2YGVc5GlDIhJTSA0lQ==Indicator for war d��partements0.01.00.11627906976744180.0.0.086.00.32243940246603525UNF:6:nU9fHNqvJXyszHmZ0fKSsw==Indicator for war or neighboring war d��partement1.00.00.40919660368228430.00.00.2093023255813953686.0.UNF:6:XkOAtHGo0Jy4Oq74hHknaw==Military death rate (%)28.6077709197998050.06.39010906219482486.0.15.8330631256103523.693330087157929815.668037492175435UNF:6:xLQ30XtWbuL8r30mT9fuwg==Share territory damaged (%)86.022.874180496983997.5416400820709950.00.00.0100.0.UNF:6:9ukTbI5xXZPctSpDitoxow==Share territory lightly damaged (%)11.1912448640543170.069.83634185791016.3.2694737523101186.00.00.0UNF:6:ye1sgvOE92b93lhBMoRflA==Share territory highly damaged (%).57.69989395141601686.02.78700015711229739.1949205799558930.00.00.0UNF:6:RM3sky5bCOtATtcV+xPQyg==Share territory totally damaged (%)86.00.00.03.98277950286865230.0.0.7608010421581220.20827264217443245UNF:6:7bVVqcc71HTSLK2XzhlIcQ==Share cities damaged (%)7.222034698308898521.958022830790670.086.00.099.286560058593750.0.UNF:6:CN/85kl88YpScdvJnDwZRQ==Share agricultural land damaged (%).0.086.00.00.0100.026.9774758506677559.42959599162257UNF:6:rnshaMqghu/txrjWWDdGbg==Share houses totally destroyed (%)0.0.0.086.00.053.559829711914069.6684885417747053.0101897162060394UNF:6:OG5j9Ddzmcxxu1SW1MWhvg==Share houses partially destroyed (%)86.035.227348327636728.9960924965831670.00.00.03.171727158302483.UNF:6:8dFAa03WTjC5FpKyTMmRkw==Share houses partially or totally destroyed (%)6.1819166804468880.0.86.00.079.1176300048828117.954505749998670.0UNF:6:+CG4mLeGREvcVTHsaaCecw==Share factories > 10 workers destroyed (%).3.375329904778060711.249915895573350.061.7616577148437586.00.00.0UNF:6:8SzzmWk4n+O+a5Nc+38XpA==Share factories > 10 workers looted (%)86.00.052.18352508544922.2.01749337689821137.7811230985157980.00.0UNF:6:ff2T1m6RuWOK0/Qa615vCQ==Share factories > 10 workers partially damaged (%)0.00.086.00.075.958183288574224.26101414547410213.598710986466823.UNF:6:su8s51GAAEPCOXq5hNdSfg==Share factories > 10 workers partially or totally damaged (%)0.09.65383751447810786.00.00.028.188933848373544100.0.UNF:6:6BDp3cW+r6TCXVKrPUKCuw==Share public buildings destroyed (%)0.03.654092977213303562.00.0.11.4109117335015530.086.0UNF:6:FO1B0DSSXK4e0tTaJ7hdyA==Share public buildings partially damaged (%)17.6713954136313486.00.00.00.0.72.033332824707035.994448661804199UNF:6:gK63Q8dVG3qAP3dYdiFM9A==Share public buildings partially or totally damaged (%)26.8654461700011960.00.00.093.974998474121186.09.648541650106743.UNF:6:TFlMFz+K8F3KyGLrdcgyWw==Share pre-war territory cleared by 192076.644378662109380.00.0.0.014.4825567223375564.41155801817428486.0UNF:6:dFUxzWGzACiGSvIVbnHpOw==Share pre-war territory cleared by 192187.36867523193360.015.93161273158486786.00.04.866696036139198.0.0UNF:6:yl9vcf67yz9X0GKKqiOZdg==Share pre-war territory cleared by 192289.61070251464844.0.00.00.016.5060615421238135.12786878541458386.0UNF:6:GB1RJ3X2wzWQlDo4cPWigw==Share pre-war territory cleared by 19235.3678139309550460.00.00.017.31368629795681486.092.057861328125.UNF:6:BC+o6gFtD8xppfmgRz30AA==Share pre-war territory cleared by 19240.00.0.86.093.401672363281250.05.58433752281721417.926535322638088UNF:6:XDBHIBBSZFc8AkEVUwfkyw==Share pre-war territory cleared by 19250.00.019.0411526681490630.0.86.099.840141296386725.936802243077478UNF:6:54b1DERmm2pCyTfNUgFcUg==Share pre-war territory cleared by 192619.9976407996809870.097.06027984619140.0.86.00.06.220844047014104UNF:6:sFYqSGDjvmVcki3VLUjMcA==Share pre-war territory cleared by 192797.124641418457030.06.285994352296341.86.00.00.020.093358801261658UNF:6:H9Yghflk4JW/saz7tJ1FJg==Share pre-war territory cleared by 19280.00.0.0.097.1246414184570320.24514806007861386.06.374124926190044UNF:6:uQSE/pf/9MQSJz1SbFt9yA==Share pre-war agricultural land rehabilitated by 1920.0.05.03798937243084786.00.066.120132446289060.014.741659231157168UNF:6:/8nVlA5ugwd9rnbzOGDFfQ==Share pre-war agricultural land rehabilitated by 192116.15739255738358886.00.074.281486511230475.5168115482773890.0.0.0UNF:6:BvdEpUA2uLEzvESDiWnt0w==Share pre-war agricultural land rehabilitated by 19220.086.07.20377301060876420.943005160377750.086.370376586914060.0.UNF:6:TnvbLXwMbA1sMiDY39EApQ==Share pre-war agricultural land rehabilitated by 19230.00.024.9696521347360986.0.98.551582336425788.692962956982990.0UNF:6:oQtj524m5EpjS5xC9rlfbQ==Share pre-war agricultural land rehabilitated by 19240.025.28726717228875498.6276245117187586.00.0.0.08.79933126582656UNF:6:2vvvHlwFJVWrsb9w8VDxAA==Share pre-war agricultural land rehabilitated by 19250.086.00.098.6276245117187525.39306364281387.8.8343014384424960.0UNF:6:vWVMox3yL4Ki0i4NFVXvvA==Share pre-war agricultural land rehabilitated by 192698.6276245117187586.00.08.9141395036564330.025.653923258359814.0.0UNF:6:pG11gEIuPd69s9xOR0y6vA==Share pre-war agricultural land rehabilitated by 192786.0.0.08.93027895550395398.6276245117187525.6977062421406970.00.0UNF:6:f5O624+Wjws1zbzdHa48gg==Share pre-war agricultural land rehabilitated by 1928.0.086.00.026.1555490795730170.098.627624511718759.10712685695914UNF:6:CVl1jWvwZVrFxrXBQLmdow==Share pre-war houses reconstructed by 19200.7275094581594650.00.03.7229102347779044.32.4363594055175886.00.0UNF:6:VwqUwlspWvu+GuoTq0dgww==Share pre-war houses reconstructed by 1921.1.101709605216287141.82603836059575.0213140853439190.00.00.086.0UNF:6:la2Cu7CDdUBumHQZ45A/EA==Share pre-war houses reconstructed by 19225.5422011516828915.86.00.043.6710166931152340.00.01.3108636787984256UNF:6:l2WrfAXfpFE0rmGWE+3RCg==Share pre-war houses reconstructed by 192344.790721893310556.7961036340192990.0.0.01.99718964377114986.00.0UNF:6:i1MP9j9xitkL0uqBS5L0PA==Share pre-war houses reconstructed by 19240.00.02.6069299232128060.09.155260226463868.63.90741348266601686.0UNF:6:+LffV+uKgNLBLl/eT1VJjg==Share pre-war houses reconstructed by 192586.03.082048665645511.0.065.6252441406250.010.366425617891740.0UNF:6:QaJ6loqqykYOixgyVqdiFA==Share pre-war houses reconstructed by 19260.03.27422380447387710.807300604463290.086.0.66.89804840087890.0UNF:6:tfoSO79KPQ7m2V21yK26AQ==Share pre-war houses reconstructed by 192786.069.67070770263672.11.7076569664363620.00.00.03.609820515610451UNF:6:v9fz1+b24GUYUz6GGDMArA==Share pre-war houses reconstructed by 19283.8918460967928850.0.0.00.071.2146759033203186.012.403906747968062UNF:6:m6bkB1Dzq81i09Uu+KM1/w==Share pre-war factories > 10 workers reconstructed by 19200.086.0.0.013.97599224102490378.526130676269534.2184297095897590.0UNF:6:MEL5SrYoWhBwWT/mTV84zA==Share pre-war factories > 10 workers reconstructed by 192186.00.05.21027871065361416.63048606501624282.996078491210940.00.0.UNF:6:JvloJPjrE3t6hU10atNKzA==Share pre-war factories > 10 workers reconstructed by 19220.017.6310068748641130.087.16399383544922.86.00.05.6233192488204615UNF:6:apZ5SRGHboFsVrILWyHk5g==Share pre-war factories > 10 workers reconstructed by 192392.0.21.2438765942770186.00.00.00.07.078354081442188UNF:6:ofBq94n6Z2fFEaEGuCG+MQ==Share pre-war factories > 10 workers reconstructed by 1924.0.00.023.738386957196694.00.07.95562965925349686.0UNF:6:4Tsg3ImCpgAMXUeEibczgA==Share pre-war factories > 10 workers reconstructed by 192524.33633019140160495.652175903320310.086.0.8.1836338930351820.00.0UNF:6:2wK59O1HRQek1nqGW+eAaw==Share pre-war factories > 10 workers reconstructed by 19260.00.097.6086959838867224.6502683796484638.3273252886395140.0.86.0UNF:6:cMe0qbXq2RKGfKmuaeCEZg==Share pre-war factories > 10 workers reconstructed by 19270.086.024.9976046489148270.08.4696680113326690.0.97.60869598388672UNF:6:McSog/b5lXm3+r14YXa63w==Share pre-war factories > 10 workers reconstructed by 192825.0136091340416160.097.608695983886720.00.086.0.8.477253226346745UNF:6:QcF//VS13bkrY/aBqoOMzA==Share pre-war public buildings reconstructed by 19200.50796743083831840.00.086.0.15.0000009536743162.1960882428054630.0UNF:6:f4L3kgjKWXzgUdd+x7uWKw==Share pre-war public buildings reconstructed by 19210.04.0958515455209840.927012574534084.86.030.0000019073486330.00.0UNF:6:/mgiLR7rGz+7toZ7hbNNhg==Share pre-war public buildings reconstructed by 19225.6228235543834791.23344622656356420.00.039.549999237060550.086.0.UNF:6:HdTIKB85BdYp0loO+Hzc6w==Share pre-war public buildings reconstructed by 192360.3750.03.17506493246832411.3448821798446620.00.086.0.UNF:6:+m4j6dxHhNhDitDUFk7SiQ==Share pre-war public buildings reconstructed by 19240.081.12586.00.0.14.5876910611581960.04.470451244088105UNF:6:kFwMSQsuVF8LPKn1JxDnBQ==Share pre-war public buildings reconstructed by 19250.093.3750.00.0.5.66717578089514386.018.091570856618425UNF:6:ctNdcmY+yoi0RxjfjrQqOg==Share pre-war public buildings reconstructed by 19260.086.021.1870832380656960.0104.999992370605476.9542618019636270.0.UNF:6:fLGSd0bFkqxUAzYrciWomg==Share pre-war public buildings reconstructed by 19270.00.07.982551574707031108.7586.023.47918237549141.0.0UNF:6:jYO1SDXRTi9Cs1QT0ibDhQ==Share pre-war public buildings reconstructed by 19280.0110.250.0.0.025.35434276928593586.08.81349208743073UNF:6:EGT81zh8p1HthXzu/Wm6OA==dep_nameUNF:6:oEEENSjjaJj9rtKB5xV6Zg==dep_id89.086.0.26.01927360975333843.544.337209302325561.00.0UNF:6:o2Gb2YGVc5GlDIhJTSA0lQ==war_dep0.086.00.00.11627906976744181.0.0.322439402466035250.0UNF:6:nU9fHNqvJXyszHmZ0fKSsw==war_close_dep.0.40919660368228430.01.00.086.00.00.20930232558139536UNF:6:XkOAtHGo0Jy4Oq74hHknaw==deathrate.28.6077713.69333011792299515.83306350.015.668037556.390109186.0UNF:6:lfC2yn7k6t4p6/A2AO7OGA==area_dam0.00.086.0100.0.0.022.8741804709550047.54164006976744UNF:6:xrqoMbGdFLlts/3OBjASzg==area_dam_low11.1912448410067713.26947374302325630.069.836342.0.086.00.0UNF:6:ye1sgvOE92b93lhBMoRflA==area_dam_high9.1949205842980157.699894.0.00.086.00.02.7870001558139523UNF:6:RM3sky5bCOtATtcV+xPQyg==area_dam_max0.00.03.982779586.00.76080104263377090.20827264279069763.0.0UNF:6:wv+QEL9RrVB6cMa1BOnhsA==cities_dam.21.9580228392158470.00.07.2220346976744299.286560.086.0UNF:6:vex8BA17f+GWDw+36QEnJw==agri_dam.100.026.9774759097225250.09.429596011627910.086.00.0UNF:6:qg+VqLOgSLUgdHurjF2Jig==nb_hous_destr9.668488590013230.0.0.053.5598386.00.03.010189730232559UNF:6:OG5j9Ddzmcxxu1SW1MWhvg==nb_hous_part0.086.03.1717271511627898.996092474312110.00.035.227348.UNF:6:8dFAa03WTjC5FpKyTMmRkw==nb_hous_dam17.95450570871606386.079.11763.6.1819166627906950.00.00.0UNF:6:+CG4mLeGREvcVTHsaaCecw==nb_fact_destr11.249915921988186.00.00.0.3.37532990697674370.061.761658UNF:6:8SzzmWk4n+O+a5Nc+38XpA==nb_fact_loot86.00.02.0174933695348847.78112308474495552.1835250.00.0.UNF:6:lYE6GWTyVUg4lJFA3zCy2Q==nb_fact_part75.9581834.2610141523255830.00.013.5987109985102186.00.0.UNF:6:su8s51GAAEPCOXq5hNdSfg==nb_fact_dam28.188933875495405100.0.9.6538375232558150.00.00.086.0UNF:6:6BDp3cW+r6TCXVKrPUKCuw==pub_destr0.062.011.410911714060992.0.00.03.654092965116278386.0UNF:6:FO1B0DSSXK4e0tTaJ7hdyA==pub_part0.00.072.0333330.0.5.9944486511627917.67139539518324786.0UNF:6:gK63Q8dVG3qAP3dYdiFM9A==pub_dam93.9749980.0.26.8654461992401579.64854166279069586.00.00.0UNF:6:TFlMFz+K8F3KyGLrdcgyWw==area_clear_19200.00.014.48255671279167576.644379.4.4115580232558130.086.0UNF:6:dFUxzWGzACiGSvIVbnHpOw==area_clear_1921.15.9316127352810434.86669603488372386.00.00.087.3686750.0UNF:6:7kGHyGXR9ZsULTwdCl1hfA==area_clear_192286.016.50606160270091489.6107030.0.0.00.05.12786881395349UNF:6:GB1RJ3X2wzWQlDo4cPWigw==area_clear_19230.00.00.086.017.31368626885707692.057861.5.3678139302325585UNF:6:YAplduRnDsRfOXfGqgIhbA==area_clear_1924.86.00.017.926535284118840.00.093.4016725.584337511627907UNF:6:nzpGJRO0O79HO/NdaZnU5Q==area_clear_192599.840141.0.086.019.0411526032844130.05.9368022209302320.0UNF:6:Fe1DYFcdFUe+FaSIa6AQvw==area_clear_192619.9976407954903620.00.086.0.0.06.22084404651162997.06028UNF:6:6PlmXUohJQRb6RWkxM0fRg==area_clear_19270.00.00.097.12464120.09335876156751.86.06.285994337209302UNF:6:H9Yghflk4JW/saz7tJ1FJg==area_clear_1928.20.2451480323609660.06.3741249186046510.097.12464186.00.0UNF:6:uQSE/pf/9MQSJz1SbFt9yA==cult_rehab_19200.014.7416592289658280.0.66.1201320.086.05.0379893720930236UNF:6:/8nVlA5ugwd9rnbzOGDFfQ==cult_rehab_19210.016.15739256915513.86.00.074.2814875.5168115465116260.0UNF:6:BvdEpUA2uLEzvESDiWnt0w==cult_rehab_19220.020.9430051754714980.0.0.086.37037786.07.203773011627909UNF:6:TnvbLXwMbA1sMiDY39EApQ==cult_rehab_19230.0.0.024.969652122638340.08.69296295348837298.55158286.0UNF:6:4tDYThOWvKg7OFRQ+Pz7Gw==cult_rehab_19240.0.0.025.28726717186816698.62762586.00.08.799331267441861UNF:6:2vvvHlwFJVWrsb9w8VDxAA==cult_rehab_192586.098.62762525.393063650628044.8.8343014418604630.00.00.0UNF:6:vWVMox3yL4Ki0i4NFVXvvA==cult_rehab_192686.00.0.0.00.08.91413950000000198.62762525.65392324705374UNF:6:9r3SN3HseN6bI/3LOUI8Jg==cult_rehab_19278.9302789534883740.086.098.627625.0.00.025.697706224867858UNF:6:f5O624+Wjws1zbzdHa48gg==cult_rehab_19280.00.0.86.00.026.1555490927405649.10712686046511398.627625UNF:6:CVl1jWvwZVrFxrXBQLmdow==hous_reconst_19200.0.86.00.03.72291019344024750.00.727509453395348732.436359UNF:6:VwqUwlspWvu+GuoTq0dgww==hous_reconst_19210.00.00.086.0.1.101709603813953641.8260385.021314057348438UNF:6:la2Cu7CDdUBumHQZ45A/EA==hous_reconst_19220.05.542201191226488.0.043.67101786.01.31086368637209260.0UNF:6:l2WrfAXfpFE0rmGWE+3RCg==hous_reconst_1923.0.00.06.7961036109209710.044.7907221.997189637209302386.0UNF:6:ylniXmyV3gMHMLwPMjO7SA==hous_reconst_192463.9074130.086.00.09.155260163694349.2.6069299081395350.0UNF:6:+LffV+uKgNLBLl/eT1VJjg==hous_reconst_192586.065.6252443.08204865697674410.3664255873385830.0.0.00.0UNF:6:cKMY79VRiKvjZbNZaDEjHg==hous_reconst_19263.2742238069767440.086.0.0.00.066.89804810.807300597606433UNF:6:tfoSO79KPQ7m2V21yK26AQ==hous_reconst_1927.86.00.00.03.60982052558139511.7076569947835570.069.670708UNF:6:fC36QfR2JJYCozAG7sEGGQ==hous_reconst_192871.214676.86.03.891846094186045312.4039067453642250.00.00.0UNF:6:m6bkB1Dzq81i09Uu+KM1/w==fact_reconst_19200.00.078.52613113.9759922621091234.2184297093023250.086.0.UNF:6:MEL5SrYoWhBwWT/mTV84zA==fact_reconst_192116.63048603305740586.082.9960780.0.0.00.05.210278709302325UNF:6:7nrIDfaQ4B8B5b+psgSQfg==fact_reconst_192286.017.6310069363987550.0.87.1639940.00.05.62331926744186UNF:6:apZ5SRGHboFsVrILWyHk5g==fact_reconst_192392.00.021.24387657947048486.0.0.00.07.078354081395347UNF:6:ofBq94n6Z2fFEaEGuCG+MQ==fact_reconst_192423.738386962296320.07.95562966279069994.086.00.00.0.UNF:6:4Tsg3ImCpgAMXUeEibczgA==fact_reconst_19258.183633883720933.0.00.00.086.095.65217624.336330157061468UNF:6:2wK59O1HRQek1nqGW+eAaw==fact_reconst_19260.086.097.6086960.08.327325279069763.0.024.650268346172403UNF:6:D5P0AEb7HOuWJv+dwJ3G5Q==fact_reconst_192786.00.08.46966799999999924.9976046156904240.00.0.97.608696UNF:6:McSog/b5lXm3+r14YXa63w==fact_reconst_19280.025.013609141207790.08.477253232558140.0.97.60869686.0UNF:6:KvecAnemha/B9QvCsO24Hw==pub_reconst_192015.0000012.19608824767545840.086.00.00.5079674325581396.0.0UNF:6:IeRRUxTRPkP9j0bS0QrzzQ==pub_reconst_19210.9270125755813964.09585155331332550.086.00.030.0000020.0.UNF:6:eDVA59vxs2acw6iK1tXMIQ==pub_reconst_192239.5499991.23344622360465065.6228235366167310.0.0.086.00.0UNF:6:HdTIKB85BdYp0loO+Hzc6w==pub_reconst_192386.00.00.03.17506493488372111.34488221390733360.3750.0.UNF:6:8c0mEECtLbe6afZ1+WanUg==pub_reconst_192414.5876910294890581.1250.086.00.04.470451232558142.0.0UNF:6:kFwMSQsuVF8LPKn1JxDnBQ==pub_reconst_19250.086.093.37518.091570839951174.5.6671757790697680.00.0UNF:6:ctNdcmY+yoi0RxjfjrQqOg==pub_reconst_1926104.999990.0.6.95426177906976321.1870831215675820.086.00.0UNF:6:vgr/Vhw/FSKbaXXjqBBWbg==pub_reconst_19270.0.23.47918224883966386.07.982551546511631108.750.00.0UNF:6:jYO1SDXRTi9Cs1QT0ibDhQ==pub_reconst_192886.00.00.0.25.35434254153716110.250.08.813492023255812UNF:6:JHLAHA1VY+cIfv4U30d2tQ==region40688.043.047.51752359416765611.0.0.094.027.98580597368047UNF:6:6IlQbSVryx1UeZ5dw5r6Iw==deathrate0.014.51290540688.019.5485768.20981693.508089108915628.13.73454418094978UNF:6:LzvElIOv0L+M84DR6NMX2g==bindep40688.00.092.07344132.00273971.9146510434532380.21228.19.348574422736917UNF:6:cZvtT7saj1jje65fDCdVaA==rural53.1413140516102160.040688.077.11855311.26903423.278448800603446.59.834507UNF:6:DazOgODN/X2ljT7TXFoMVg==wealth5603.4077337556264434.953700350692.3790.9011243.040688.00.014956.28UNF:6:WaxyizukWuHhWblE1fwnjA==flfp40688.035.4075589.62664876415489953.093384.0.036.5806164210582116.026728UNF:6:yzpcr3+LdB+88yhHN9TKBQ==birth_year0.0.40688.01904.01903.65095359811241908.01899.02.8483725899879007UNF:6:n4tw6IqIUWlVb7POORszlA==nb_child0.02.017.040688.02.32788537160835452.1231106938393327.0.0UNF:6:EbyRQcIvupxeggqZX9uRtA==educUNF:6:0RqJ+2jD2yGXG8Lp+DfIig==mar1_age22.015.040688.0.23.77538832088086555.00.05.296763181014576UNF:6:JJpUxD4sSoUIsaH4A28Syw==mar1_age_husb82.026.758257963035665.89507769632033715.025.00.040688.0.UNF:6:XqdRllH7TnK1VByJjttcgg==mar1_gap4.540884746905193.3.02.9828696421549250.040688.0-23.041.0UNF:6:T4N6tTJNtD9k0dHEywsTpA==cspp_husb10.01.00.06048466378293901.0.00.040688.00.23838554045701144UNF:6:qW3CYzhyFU7fhDNvIBxG2g==Region id40688.011.047.5175235941676560.043.094.027.98580597368047.UNF:6:6IlQbSVryx1UeZ5dw5r6Iw==Military death rate (%)13.73454422532167740688.0.3.50808911893565470.014.512905120849618.20981693267822319.54857635498047UNF:6:nuEYsjqjLesZFkTJZ/KLDQ==Share of population born in d��partement (%)92.0734405517578180.212280273437571.9146510820571932.00273895263672.0.019.34857446339257340688.0UNF:6:Lw6ze21Cxx1GZtGb5abaXA==Share of rural population (%)53.1413141637355140688.023.2784486945848560.011.269034385681152.59.8345069885253977.1185531616211UNF:6:lmadTSqo6Y0jjus9OCjExg==Household wealth14956.2802734375.40688.03790.9011230468750.0243.05603.4077928400294434.953794517435UNF:6:WaxyizukWuHhWblE1fwnjA==Female labor force participation rate, net of farm owners (%).16.02672767639160.09.62664867524848236.580616471337153.093383789062535.4075584411621140688.0UNF:6:yzpcr3+LdB+88yhHN9TKBQ==Birth year (1899-1908)1904.01908.01899.01903.6509535981124.40688.00.02.84837258998790072147483623Error (out of range)02147483622Missing0UNF:6:n4tw6IqIUWlVb7POORszlA==Number of children2.12311069383933270.02.017.0.2.32788537160835450.040688.02147483622Missing0UNF:6:EbyRQcIvupxeggqZX9uRtA==Education0.00.7107992528509753.0.00.80319327920553351.04.040688.00No diploma185072BEPC29091CEP174522147483622Missing02147483623Error04BAC+1913BAC1629UNF:6:vjrtorhhY59XXfGn2dNNMg==Age at 1st marriage40688.0.5.29676318101457622.055.023.7753883208808650.015.02147483622Missing02147483623Error (out of range)0UNF:6:JJpUxD4sSoUIsaH4A28Syw==Husband age at 1st marriage26.7582579630356640688.05.89507769632033725.00.082.015.0.2147483622Missing02147483623Error (out of range)0UNF:6:XqdRllH7TnK1VByJjttcgg==Age gap at 1st marriage41.00.0.40688.02.982869642154925-23.04.5408847469051933.02147483623Error (out of range)02147483622Missing0UNF:6:T4N6tTJNtD9k0dHEywsTpA==First husband CSP+0.040688.00.238385540457011440.00.06048466378293901.0.01.02147483623CSP Error (undefined)02147483622CSP Missing0UNF:6:qW3CYzhyFU7fhDNvIBxG2g==Birth date in years.1891.01892.95831298828121892.95833333333330.01.16666567772433981894.916625976562548.0UNF:6:Dh1oEYwO1ZAzp8JO0tvUqg==Military 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(%)95.16136169433594.609.079.9255447387695326.72265243530273477.6427154071225411.622395305171070.0UNF:6:9UPEhzHvA09Jy91oXLHf4Q==Female labor force participation rate, uncorrected (%)23.73692321777343850.031241459212279.83955018125952473.430717468261720.0609.0.50.635658264160156UNF:6:bhQvpmg4PjMpwFis3uZzTw==Female employment rate (%)30.3291244506835948.21861483139672456.477958679199220.031.006149752386673.9.680448532104492609.0UNF:6:ECn3SXh7KICC9ZYtglx6JA==Military death rate (residuals).-9.576961080510557.00042104197143E-170.03.3658319487898150.1363480847344433812.03702960108495609.0UNF:6:1uOTVXBtsWHksRZDQekeFQ==Military death rate, corrected (%)19.8381137847900414.5580822517131930.014.85848331451416.8.1168737411499022.102081755270708609.0UNF:6:CaaFAm+P8VtYFxGUtujDmQ==Ratio class 1911 to class 191294.8952865600586609.080.0886459350586114.488189697265626.33091228458880795.10850349513964.0.0UNF:6:ZeZi1O33uGn81oLiKYu5xQ==Ratio class 1912 to class 191393.3566492891859881.64870452880860.05.6938194431639255121.48094177246094.609.093.04952239990234UNF:6:JttvZkozuesrqb9FS+2NPQ==Ratio class 1913 to class 19144.259885370841695100.9381530586330589.7219467163086117.05809783935547609.00.0100.82612609863281.UNF:6:yvYnodgaRhDAWfAU0agvIQ==Share women single 20-49 (%)22.4849370010054385.16741121537804911.81130313873291522.087.021.71667385101318438.769134521484375.UNF:6:3y6Nu2UFzt5jD6NLx7nHIA==Share women widowed or divorced 20-49 (%).6.722234392074796.5973017215728761.4010393383568933.55662369728088487.011.380467414855957522.0UNF:6:uJHrPwS4NzOhlzm4yIgZLg==Share women married 20-49 (%)81.1046066284179751.73904037475586522.069.85093675810715.5.476259820681149570.3954811096191487.0UNF:6:T1q5tmACIozZ/3zr2M/uqQ==Share of active widows among all women (%)1.406356930732727.348.0261.05.713774204254151.70534383045646749.9214525222778325.74048815285109UNF:6:HSHrcepKUvMQRBtlb70Tyg==Share of active widows among widows (%)52.2103729248046910.4657936096191431.3541259765625.261.0348.08.69116112477554631.93685361708718UNF:6:9snm6Kj7aq/e18RF/0PwkQ==Ironers hourly wage rate (Francs)0.09223.0.0.6684982350335333.10.7019983944087936386.00.2375UNF:6:EnoN7xgPhTJxVuOMQhdhwg==Ironers log hourly wage rate (Francs)0.43879703459344377386.0223.01.41098701953887940.36519683393520640.213093221187591550.08617769926786423.UNF:6:Sy/wRcW4IBc7j6mluy6r5A==Seamstresses hourly wage rate (Francs)3.40.6777538687964637.0.25214.0395.00.69334353138929110.09UNF:6:bvNjgVa2mwf+nf3PX5ioNQ==Seamstresses log hourly wage rate (Francs)0.36220957964235173.395.00.446011440663398040.086177699267864230.22314354777336121.4816045761108398214.0UNF:6:Ekv/I/4R5dKO7rZ3Qnj7yg==Milliners hourly wage rate (Francs)0.67597369175459323.3750.6891721528319888.0.275243.0366.00.05UNF:6:K1Cl6M0Y0ig4fzNiifhtxg==Milliners log hourly wage rate (Francs)366.00.04879016429185867.1.475906491279602243.00.242946177721023560.3529787824476110.4567711687356722UNF:6:L2beK4g7G+4jm92XgTIG0g==Cooks hourly wage rate (Francs)0.2884615361690521173.00.9259259700775146.436.00.106837615370750430.18596459828995540.35557167688546154UNF:6:KFYhpcR6Dv8UqYOyMfV5iw==Cooks log hourly wage rate (Francs).0.2534489035606384436.00.2952612094538060.132915012285750620.101506955921649930.6554068922996521173.0UNF:6:Iz5NQQui7vaQSDP/0179MA==Housekeeprs hourly wage rate (Francs)438.00.17770655453205110.11242452869882147.0.2261584284361343171.00.4978632330894470.0783475786447525UNF:6:jJk+ZYFJ+jN60mN+sOvEiw==Housekeeprs log hourly wage rate (Francs).0.199782920467574680.09044094259747050.075429849326610570.163568943738937380.404039591550827171.0438.0UNF:6:whb93pH/Y3qTaInnpqrymg==Foreign labor force participation rate (%)348.027.69936943054199228.6532961417888811.0209985467663966.151217460632324.74.46808624267578261.0UNF:6:3EA2z6wnUtBpVKqBHqlaJg==Share of foreigners among the population (%)609.01.79013442993164063.3829196468118012.0.04004207625985145632.5485534667968750.04.4179554216961385UNF:6:FltymyuNxdl14U6UE8yemw==Total engine power (kW)46849.06896551717348.01456.016921.0106910.78301190346.1028085.0261.0UNF:6:fjK3Ue6F3g1SpMmC/8+DFw==Log total engine power (kW)261.01.1377290062465859.9463368302560879.736370086669922.348.07.28413486480712913.843209266662598UNF:6:0wQBNEpJwkKjkPYFEH1dEA==Total engine power per 100 industrial worker261.0.64.110151988793137.2898411750793461574.2479248046875348.033.11790084838867125.96836186333572UNF:6:9VEUkkw31tnGDSwSjJzvWQ==Industrial region idUNF:6:1e0i/XTlO99ANRPfZRbe7g==Industrial regionUNF:6:uk2lq5n50PX9MLDyn9i5mQ==Change indutrial female employment 07/1914-07/1917 (pp)90.48697662353516.18.75109100341797-17.480222702026367609.026.07650402222557430.91351186513060.0UNF:6:yfyHOtU8AulH9jDqzMqeqQ==Change indutrial female employment 07/1914-07/1918 (pp)65.10895538330078609.0.22.12649345397949229.943772930608-27.0396862030029322.5159668593571070.0UNF:6:d/3FRyVo2o4D6qFQhRsLXA==Male labor force participation rate (%)63.403842926025390.0609.092.274337768554693.99685470380047.91.7751805410400799.80015563964844UNF:6:w/U8/55XCVHrJKfLZrDFhA==Share women widowed or divorced 20-29 (%)87.00.47009471058845520.270759291327338951.6502590179443360.55611392024947310.2051808089017868.522.0UNF:6:ziHE+Vr0Crgs+UTVDXNt2g==Share women widowed or divorced 30-39 (%)4.7874188423156740.9787985682487488522.0.2.1492601728987421.8445652127265930.82990470485235687.0UNF:6:7ojbSXS7CRgpsO1XVpJhwQ==Share women widowed or divorced 40-49 (%).2.3250224590301514522.06.2849197387695314.0168602873082364.01756095886230587.00.653771146355986UNF:6:FnC8qt+tWT45Mu6xV/kO4Q==Share of active women 20-49 among all (%)7.47301038667485128.282032012939453.28.7534415847953659.15447902679443457.11429977416992435.0174.0UNF:6:gTcEBEvz3Q19iDS/LhB+kw==1905 inc66.19631195068364.8329000381821070.0.66.2864244395288972.93879699707031609.051.564056396484375UNF:6:+0516hyJrFUF4eewkoKZDQ==1907 inc609.0.73.67343902587894.1214693812819910.066.192481994628966.1459570259883558.41558837890625UNF:6:VYQW5zZPlsh+J3iIW+M+1A==1908 inc55.47669982910156609.04.859754790403027.68.859044699833370.7864303588867274.582237243652340.0UNF:6:UsNvGqe2o3AokO3RMJ/cNA==1909 inc.81.767723083496170.715385437011725.9661879010528125609.051.3540267944335940.069.560067363169UNF:6:uiY6OYd57MRdkRrS5uZ6Pg==1910 inc59.8357353210449270.05906677246094609.00.04.529972387245826.69.5527773013060177.22595977783203UNF:6:mvZHrKZDgw52+5MT/5XImA==1911 inc71.036760001346985.70452157927963948.227817535400390.071.66666412353516609.0.79.12291717529297UNF:6:BmNq1jN/Dq6tc3dSX8V1dQ==1912 inc71.95112359934839.61.570316314697266609.03.945805840433866577.169486999511720.072.8283462524414UNF:6:Oj7kGbYMd5oRiV/bdaU30A==1914 inc5.9033469830038070.058.25855526978942658.643184661865234609.037.36236953735351670.72550201416016.UNF:6:dYLooU7PUVtLASaglFYVQw==Population (thousand)4859.65185546875444.4558699408982609.00.0330.26800537109375491.8821295736811.82.7239990234375UNF:6:CPfuU5R04SrJRS7bRGPovg==Population weight0.00255684251897037030.011892772932555938.609.00.011494252873563230.0086514381691813470.104363717138767240.0UNF:6:dcRrz9blIYEL/tqVqlre4Q==Population density (per km2)952.349385747746610134.832031250.054.47929000854492609.0169.6109856431699811.83733081817627.UNF:6:iER1/0JY247Wu5ioVXppwg==Smallest distance to war front (km)322.0.0.0203.61506291167439741.0321.91954022988523609.00.0UNF:6:17JX4Ht3mItGUXvzdQ2mNQ==Share of male active population in industry (%)12.1575017379334920.071.5936965942382813.53724765777587933.417846772079606609.030.603252410888672.UNF:6:DfkBOqlu769kfyepEYTNVw==Average age0.0.38.7076034545898441.986440094341408726.734703063964844609.033.2512817382812533.40561194020539UNF:6:h+FonmoPz+FkjgxKqMS0EQ==Direct taxes in 1911 (francs per inhabitant)522.087.053.9606580024949210.611222249151721.8.05977344573265623.6952223768137222.296781862554422UNF:6:qIXZvzpdP1mWlNCfDeQIKg==Banking deposits in 1911 (francs per inhabitant)522.0.12.6988194675293544.41321289277481337.0566632306558312.25127575697441287.05.8471093157078UNF:6:j+wQoUTv2iZNAcJ5BIiexw==Wealth in 1908 (francs per inhabitant)243.02383.605690645794816684.0.3131.087.0522.03639.4597701149423UNF:6:nfSQLqTUTW4ivJKLQ9rc7w==Share of votes on 1905 law (%)32.499094463789696.100.087.064.00.061.42206095552993522.0UNF:6:eo2/5VdRul69gOWiH00e6g==Average height of conscripts of 1911 (cm)87.01.157203780995274166.2179665401064.161.86485290527344166.1334686279297522.0168.81893920898438UNF:6:wSRLxoOvX+oX8UwJP6zcoQ==Share of conscripts of 1911 with primary education (%)59.80883026123047.23.26164817810058614.61906627585098595.6222152709961522.087.061.06338676364943UNF:6:zsfdwtNOsdcn13xNmSV83g==Share of cultivated land in 1912 (%)44.26999645671625522.044.20385360717773416.9796798985704979.87629699707031.87.011.74826431274414UNF:6:CQNUbQUxQxJYQuQXuDMkAQ==Road density in 1913 (per km2)522.0342.03928569247962329.821533203125534.6788940429688.1283.13332603717661255.387084960937587.0UNF:6:8X1KunwERLAw/JvdUd/OAg==Rail density in 1911 (per km2)22.0068607330322272.27807897371307581.190041542053222787.0522.0.1.48860130947211730.4087187349796295UNF:6:CxseavZiYfEZg3rxYZpXKQ==Share of students in religious schools in 1906 (%)1.811251152782047287.03.4088147264029707522.03.00805510989046114.761207604090416.0.0UNF:6:eU+C9DzAiKTECN3/UgUhfw==Share of conscripts of 1911 that can read and write (%)62.8615829221080196.5674184803072585.840070874785584.67127501125479522.087.07.737717568517071.UNF:6:O+KxveySE5Uekcw2hugcAw==Turnout in 1914 legislative election5.602604208770961.50.1602417361047578.2675115989589385.91179105181274522.076.8698392827411587.0UNF:6:upkDiZzEAihLRzt4rLKOEw==Female labor force participation rate in 1911 (%)14.4375295639038090.056.17780303955078.31.4045387026907478.88177856960948931.253332138061523609.0UNF:6:OM8hs65OqSuPAGpvhD6k3Q==Share of active women 20-49 among women 20-49 (%).28.75344158479536557.114299774169929.154479026794434435.07.473010386674851174.028.282032012939453UNF:6:gTcEBEvz3Q19iDS/LhB+kw==Share of active women 20-29 among women 20-29 (%)34.93198394775390610.307879447937012.435.09.29309150904609174.064.8811340332031235.44627461049748UNF:6:JICX3lPhvHT80ot0CIAfNA==Share of active women 30-39 among women 30-39 (%)26.0298016931818957.7240638732910167.1636926324445165.174.0435.08.7029924392700225.372121810913086UNF:6:b6UT3WaUd5JKkONEtHhlVw==Share of active women 40-49 among women 40-49 (%)55.3562622070312523.08216476440429724.0848768497335436.731806325868431.174.08.001091957092285435.0UNF:6:3AgleqZN25kUnpHTY/1sqw==Share of active women 40-49 among all (%)1.9480309073997073.14.431011199951172174.07.24220275878906252.2030904293060303435.07.488848736094335UNF:6:zxm1p7yDPvVLZv3nWlQapQ==Share of active women 20-29 among all (%).435.012.4310722351074224.1411333084106445174.023.75746536254882812.5978014167697943.4638504728499107UNF:6:08WIU8f+4/ADio03OFPBqQ==Share of active women 30-39 among all (%)20.1231517791748052.46474993709373762.8102560043334968.6667914478258158.355849266052246.174.0435.0UNF:6:IVItTt97lPWZPbML+djsng==Latitude of d��partement centro��d50.6333330.0609.0.46.56666742.312.114388324687243746.401634379310345UNF:6:ufljANiQBYMi7gFDLMvBcA==Longitude of d��partement centro��d0.02.5790452528735632.609.02.4-4.19.09152.6416145557331494UNF:6:2vEFm8FQnVhvS4pfsYdjZQ==Army number1.00.05.0609.02.74712643678160971.47292308687273342.0.UNF:6:uOaBRxiKT67D9vf0ybVgAg==Military region23.00.01.0609.011.54022988505747112.05.634606470610421.UNF:6:m0tpZqFWO2MIRjFz/830Tw==Share women single 15-19 (%)2.970509068572612893.00302505493164.92.7163578340377522.080.0906829833984487.098.29876708984375UNF:6:BcpoAfIrY9oqcGHl/RlhoQ==Share women single 20-29 (%)60.79843521118164.39.09407740260449522.020.20568656921386787.038.401182174682628.161391628322269UNF:6:w40vKfZW7nEL+Cu1U2nnrw==Share women single 30-39 (%).87.030.9314956665039068.6160106658935553.8720650086026818522.015.11818689587472314.449557304382324UNF:6:/tINPJrS0fmFDjQw3stfoQ==Share women single 40-49 (%)2.96509256502843145.805507659912109.11.27936134575883819.65702438354492287.0522.010.862863063812256UNF:6:MhEs4fwPvdgDMFsxsZAlmw==Share women married 15-19 (%)87.06.513324526763053.16.3921470642089841.7012351751327515522.06.3696153163909912.5882913167710546UNF:6:g6bFD6rhDmeaXaP7PhMDNg==Share women married 20-29 (%)57.7620966900354134.3373489379882858.14026451110848.48149363529014476.7150650024414.522.087.0UNF:6:X1Bp5d5P2ZT7HJq9JrovsQ==Share women married 30-39 (%)60.1033210754394578.0036430358886777.76860785941055522.0.87.04.79662976038795386.51573181152344UNF:6:d6gZ91WfA6cBtDYuWzx9Xw==Share women married 40-49 (%)62.637676239013673.95510834278464187.0522.075.2547528643261.75.3893089294433684.74407958984375UNF:6:/BBbPckYJQlQrz5HFDZGSw==Share women widowed 15-19 (%)0.20159414410591125.435.00.032935297576946090.00.028359463784822375174.00.025649297051131725UNF:6:8WDtrQvql5Z2vOd89Fh+EA==Share women widowed 20-29 (%)0.65372663736343381.83242204819602541.4184322953224182174.04.495841979980469.435.01.0254797454454854UNF:6:GC45hfCkGsma+sVfOjz2zA==Share women widowed 30-39 (%)3.146188628810233174.0.7.01750914529822414.375924110412598435.02.5035398006439216.987101793289185UNF:6:lyETAA6nig02CzsujqDw1g==Share women widowed 40-49 (%)1.6452808895768211.211266942407892174.0.435.07.89902257919311510.89391708374023416.855566024780273UNF:6:vepL7Hjd0El8a/KscxBKmA==Share women divorced 15-19 (%)0.00.0073907971382141110.012831297773289068174.00.011053782954662182435.00.06695477664470673.UNF:6:IOHlHbrJX9seU52yl/KVTg==Share women divorced 20-29 (%)0.21494974777657350.3306144626875375174.01.1851149797439575435.00.04287874326109886.0.28026215732097626UNF:6:2mTr+iQ+h0Te+zQXjAWqTg==Share women divorced 30-39 (%).2.775193452835083435.00.65521836280822750.50132589191869570.115257166326045990.8030600696373944174.0UNF:6:J8NCKpqWv44dAQ2lxdKxMg==Share women divorced 40-49 (%)0.50011389219652310.6643645763397217435.0.0.076970443129539492.8231720924377440.7996471774304051174.0UNF:6:u4AqlSKWX2OdJT6Jx1gygA==Share women single 20-49 among women 20-49 (%).38.76913452148437587.05.16741121537804911.8113031387329122.48493700100543821.716673851013184522.0UNF:6:3y6Nu2UFzt5jD6NLx7nHIA==Share women single 20-29 among women 20-49 (%)6.581540107727051522.087.013.9565500482288823.3389256821340196.24.2962989807128913.451323509216309UNF:6:/dhseE4osvtQJl0aQJFA4A==Share women single 30-39 among women 20-49 (%)4.877120256423955.035255357680193.2.85588979721069341.275828176440179887.09.976049423217773522.0UNF:6:3chJh29oS7MVad79pZ7t2A==Share women single 40-49 among women 20-49 (%)522.06.354686737060547.87.03.4931315996637740.86930908579348451.87314748764038093.382437586784363UNF:6:XiHAmdjcZP75mOPZcPddSw==Share women single 20-49 among women 20-49 (%).6.597301721572876522.03.55662369728088411.3804674148559576.722234392074791.40103933835689387.0UNF:6:uJHrPwS4NzOhlzm4yIgZLg==Share women widowed 20-29 among women 20-49 (%)87.00.270759291327338950.20518080890178680.5561139202494731.0.4700947105884552522.01.650259017944336UNF:6:ziHE+Vr0Crgs+UTVDXNt2g==Share women widowed 30-39 among women 20-49 (%)522.01.844565212726593.0.8299047048523562.1492601728987420.97879856824874884.78741884231567487.0UNF:6:7ojbSXS7CRgpsO1XVpJhwQ==Share women widowed 40-49 among women 20-49 (%)4.0175609588623050.6537711463559862.32502245903015146.284919738769531.522.04.01686028730823687.0UNF:6:FnC8qt+tWT45Mu6xV/kO4Q==Share women married 20-49 among women 20-49 (%).5.476259820681149551.7390403747558670.3954811096191487.0522.081.1046066284179769.85093675810715UNF:6:T1q5tmACIozZ/3zr2M/uqQ==Share women married 20-29 among women 20-49 (%).12.5379505157470787.026.5282192230224620.45490706834756620.5135955810546882.781699022849338522.0UNF:6:oHGx5CtRTxISGauBNJajZQ==Share women married 30-39 among women 20-49 (%)522.025.9377897671812832.441925048828125.1.979459426254049719.38456726074218887.025.97136688232422UNF:6:+sRiWHfEFQTHcGW31n4lxg==Share women married 40-49 among women 20-49 (%)87.016.32922744750976623.5520496368408223.458240037676934.2.134367519846558429.471473693847656522.0UNF:6:h0/F1cQ44Dxw9g6Epel5lw==Share women occupied as boss among all women, excluding farm owners (%)3.16784954071044921.4047088623046882.5363593989342266609.01.1257054805755615.0.03.9047658740984805UNF:6:NATAzOCpuxatRni7XoTTLw==Share women occupied as boss among all women, including farm owners (%)0.023.098522186279297609.08.9492425729919383.871519327163696347.02270889282226622.487758331110918.UNF:6:hmXG8IIjfS4s2g6ypqj9Yw==Share women occupied as white-collars among all women (%)3.1136319637298584.15.8171806335449223.0462531414103187-3.38302516937255860.0609.02.2512486605859916UNF:6:ESI24zWI+e1RCF1oShHLBA==Share women occupied as blue-collars among all women (%).14.54142999649047987.05.11974355985395930.06721496582031214.912674937211685522.02.360806465148926UNF:6:yhbwCHvZSUVVBa+qiCIUbA==Share women unemployed among all women (%)0.0.4.541700363159180.3080034554004669609.00.485376242975807060.0113499183207750320.4420992203059868UNF:6:VhOYE8zaDPSvsP/g/OM3jw==Share women occupied as self-employed among all women (%)3.1257514953613288.8426690101623543.359272357415372.522.09.3926660850130387.019.89364242553711UNF:6:SoMQDgYiUHeMpa3th9oN1g==Share women with unkwonw occupation among all women (%)522.0.0.01001218331967020.0544175909536559550.087.00.4289366304874420.0UNF:6:zWeG15+q9+x8WMwr8wXMPw==Share women occupied in agriculture among all women, excluding farm owners (%)8.046337362287078609.06.8667712211608895.07392591342147223.466804504394530.0.0.06529778242111206UNF:6:Yrrs9M6kCoh6Tb74PJtnQA==Share women occupied in agriculture among all women, including farm owners (%)11.9191181430592930.15471331775188446.26.62932982947831259.162467956542970.0609.027.365053176879883UNF:6:8zd/MJ1lLdwJ3hCdpBT0pA==Share women occupied in commerce among all women (%)0.0.1.616766028578729314.6490097045898441.715901255607605609.04.7897548675537114.904732096762883UNF:6:ed6TdbtZnxIMNGvtqlN3pA==Share women occupied in industry among all women (%)609.0.5.81208065036215935.0593032836914062.41582274436950711.45696353912353512.4827476240731270.0UNF:6:SPajyBRUxSBUcp9RET+F1A==Share women occupied in liberal professions among all women (%)6.2709388732910162.3410646915435790.0.609.02.45321988374337470.75522585326616031.043802261352539UNF:6:71r7l4UGx/IBv8yBHX+TZg==Share women occupied in domestic services among all women (%)0.01.6210715549753223609.0.3.55960664118843413.3388204574584961.03720009326934813.1513168811798096UNF:6:ODQaDYrQUhqymHLzZ2TAIg==Share women occupied as bosses in liberal professions among all women (%)0.058150276575533350.10950173974367491609.00.0.0.02491771988570690.09829034656286240.7410675287246704UNF:6:D5ojUufZMeNtKyOc5jMn+A==Share women occupied as bosses in agriculture among all women, excluding farm ow0.00.0609.00.00.00.0.0.0UNF:6:ODJZ3XKWrBIDzlEgkCsbKg==Share women occupied as white-collars in agriculture among all women (%)0.082872107625007630.003583486717326595609.00.0.0.00.00183289160486310720.006974042180239385UNF:6:g8EMV8qX8O/j/4RMYB0FEw==Share women occupied as blue-collars in agriculture among all women (%)0.04.357700824737549609.019.3636150360107423.9490470839802810.0479127094149589545.540106115657805.UNF:6:JWxE9OLIjm/BUv3lnjX7DA==Share women unemployed in agriculture among all women (%)0.00.00.9902537465095520.028592467740348620.06203346146005627.609.00.014283249154686928UNF:6:qu0rpKaJtm6t7Ua4ypZB2w==Share women occupied as self-employed in agriculture among all women (%)2.47365731358748382.1880481243133545.1.91863642018158989.010934829711914609.00.00.0UNF:6:bMIJwqWjFK8QmJ3Ikf6dqQ==Share women occupied as bosses in industry among all women (%)0.01.99661880858817581.3026914596557617609.0.0.49376517534255981.976783267271330419.16925811767578UNF:6:vTchfbc4GZWVkN3Pg05HvA==Share women occupied as white-collars in industry among all women (%)3.6703462600708010.3908371329307556609.0.0.0020816635806113480.00.484076275576161230.5199401419443864UNF:6:Me9k0zzqv+R6R+F1Fe7x+A==Share women occupied as blue-collars in industry among all women (%)5.87193574786969654.86219596862793.609.04.0888295092044180.375550121068954470.022.011964797973633UNF:6:FDBP6EnBybWL8WgEwi9bjA==Share women unemployed in industry among all women (%)0.003095432184636593.0.275636677792733.40020823478698730.0609.00.343639999273290860.16638684272766113UNF:6:o2awNEAnIz0/4DNOsnGdsw==Share women occupied as self-employed in industry among all women (%)87.04.4541963743067345522.02.3561062031676765.14.9282550811767583.90121841430664061.0516918897628784UNF:6:oNrG5zZlBtk03pbaB0dhLA==Share women occupied as bosses in commerce among all women (%)0.7313407316460985.727515697479248609.01.68477988243103031.7986453270970884.0.48185560107231140.0UNF:6:Gs259imK9Dz7vXG8cS2M1g==Share women occupied as white-collars in commerce among all women (%).1.1598879098892212609.01.27296002297272180.102317057549953468.563527107238770.93850102354296550.0UNF:6:VofoepBGnJP1rQBWVa7wJQ==Share women occupied as blue-collars in commerce among all women (%)1.7573684453964233.0.23288738727569580.00.277598958107687370.0609.00.2590307225415582UNF:6:ZFXKV76wJ+if4JY3p6qnWg==Share women unemployed in commerce among all women (%)0.69710916280746460.00.02649611048400402609.00.042224276709666180.0.0.05904455611940938UNF:6:AXKkcZT3seOmFjmVhtaKcw==Share women occupied as self-employed in commerce among all women (%)0.7542536258697510.44286263320372116522.01.765449450276363687.01.71064275503158573.7394752502441406.UNF:6:QAPPR16KuAas6gu8vBnlMg==Share women occupied as white-collars in liberal professions among all women (%).0.15718756616115573.79054546356201170.6741402756101519609.01.6710441112518310.01.659053378626827UNF:6:SjLUTHUye9lggTW7EPynXg==Share women occupied as blue-collars in liberal professions among all women (%)0.2397488177312794609.00.1733102964318376.0.8323963880538940.00.00.23785792291164398UNF:6:xwOw38shoWQkWExw5XL7Tg==Share women unemployed in liberal professions among all women (%)0.04736558515252438609.00.011623514816164970.00.6337020397186279.0.026833691497511890.0UNF:6:pSPlcI9OOVyIe1TRPSFMBQ==Share women occupied as self-employed in liberal professions among all women (%).0.15661277946006671522.00.096942611038684840.252689749002456670.2870867160145349587.01.3899993896484375UNF:6:0iSfMmUyyuUdpWgrb3exjw==Share women occupied as bosses in domestic services among all women (%)0.00.00.00.0609.0.0.00.0UNF:6:ODJZ3XKWrBIDzlEgkCsbKg==Share women occupied as white-collars in domestic services among all women (%)0.00.0609.0.0.00.00.00.0UNF:6:ODJZ3XKWrBIDzlEgkCsbKg==Share women occupied as blue-collars in domestic services among all women (%)1.0340853929519653.522.03.410279498931549587.03.02790951728820812.9782600402832031.545937820964932UNF:6:wb7pxrLIyGt5r+GOYZ11xg==Share women unemployed in domestic services among all women (%).0.050306029617786410.0021180158946663140.064757900626264740.00.6446772217750549609.00.06881210629175286UNF:6:Zm0d7cw73ipnNJhwRAO1rg==Share women occupied as self-employed in domestic services among all women (%).0.00.00.0609.00.00.00.0UNF:6:ODJZ3XKWrBIDzlEgkCsbKg==Group assignment for 1 groups based on Bonhomme and Manresa (2015)1.00.01.01.01.0609.00.0.UNF:6:Rz8vgh4lY6oMkIirPJEPDQ==Group assignment for 2 groups based on Bonhomme and Manresa (2015)0.01.413793103448275609.01.02.00.49291716557998971.0.UNF:6:Qox8LwH/ouhCuj21ic2aTg==Group assignment for 3 groups based on Bonhomme and Manresa (2015)0.801140105627299609.02.01.03.0.0.01.8390804597701147UNF:6:RY0pfncqKC/WQbgBtVuYIQ==Group assignment for 4 groups based on Bonhomme and Manresa (2015).4.00.01.0609.01.05633799976710162.02.402298850574714UNF:6:wkerihqmepV/y0SrhPpJHA==Group assignment for 5 groups based on Bonhomme and Manresa (2015)1.4462673863058923.0609.01.02.8045977011494250.0.5.0UNF:6:bzlHDvSQxQjwVlbptomwIA==Group assignment for 6 groups based on Bonhomme and Manresa (2015)0.03.50574712643678051.03.0.1.88842992300685956.0609.0UNF:6:0eTfiLtBo2J+wOV3s2b6ww==Group assignment for 7 groups based on Bonhomme and Manresa (2015)4.0.609.07.03.75862068965517130.01.84583334186832971.0UNF:6:BdnVB0trMUCLO7ozjyE9lw==Group assignment for 8 groups based on Bonhomme and Manresa (2015)2.51070755965140570.0609.01.08.04.4482758620689645.0.UNF:6:sZ4sTaNFc39DfFPzR0ayvA==Share men born outside d��partement of residence 15-19 (%)45.2136116027832.2.65753221511840815.22357647446380113.3998670578002937.4822017344956775522.087.0UNF:6:S3NusQ/9T3yySrh8JrTL/g==Share men born outside d��partement of residence 20-24 (%)87.0522.036.23925684786390635.6271781921386778.50683593758.237196922302246.13.833008228311124UNF:6:H+7q3PeZQ0DTHaK86C5WuQ==Share men born outside d��partement of residence 25-29 (%)20.8234752896188345.571064472198486.18.26214218139648461.007934570312587.0522.010.41963185055359UNF:6:JoPEUCTqSUN8ICZqSU5msQ==Share men born outside d��partement of residence 30-34 (%).10.8915022138494924.70359039306640663.265369415283218.26800727844238387.020.87944154081673522.0UNF:6:th+Z/yYrZxBWtHVIjH+mzQ==Share men born outside d��partement of residence 35-39 (%)18.440412521362305522.020.73082392791222364.1098098754882811.0359033388006033.953147888183593887.0.UNF:6:5IoRmD++dyw2Ce0qqB+lAw==Share men born outside d��partement of residence 40-44 (%)522.017.8153762817382811.21999746276746520.2950542219753987.0.64.670951843261722.289553165435791UNF:6:9v0tlw7SdSiUgTDBSpXXEg==Share women born outside d��partement of residence 20-24 (%)56.802825927734375522.09.24754196571425287.03.6422500610351562.17.94196440433633615.989205360412598UNF:6:/9j4CqbAe6y1dDwwZEkZjQ==Share men born outside d��partement of residence 15-44 (%)3.69108676910400458.7302093505859419.22274821380089487.0.9.92290418792719616.86891746520996522.0UNF:6:bqaWBbzmxtecP1EcO8bubw==Mortality rate174.0.1.14020991325378421.78903937339782710.1872845960879951435.00.78447818756103521.1661230305145527UNF:6:6+AqBTZtN3ONYn9VgClo/Q==Average enlistment rate among classes 1905-1914 (%)69.29858398437574.05013275146484609.053.90051269531254.2181469451669820.0.67.70633872898145UNF:6:k5heC07JUkPbs5o2FxrteA==Spanish flu death rate (per mille)1.96999683395458080.972929656505584713.694878578186035.518.04.4761964928459483.985454082489013791.0UNF:6:HdAfhADAhduwT2qUN5fj9g==Male population of class 19142833.03631.107664030117629606.0.0.03730.6321839080474609.0809.0UNF:6:PjB0XnFlOSxkBffBQCWc7Q==Male population of class 1913609.031731.00.03783.02298850575.3823.5323013332972807.0895.0UNF:6:jlQ6CTQTEPx3nIs91D2kaQ==Male population of class 19120.03586.8390804597716.775.03894.254946187323609.02679.033107.0UNF:6:/iyGACWv0yG8/rvNPq3P2w==Male population of class 19114088.6904946841246609.0.708.03474.103448275859635332.00.02541.0UNF:6:MOo+1SqS2UDwsvRtzACBuA==ratio class 1890 to class 1891101.660797119140627.646418375361432114.30707550048828.138.701553344726560.0115.52897819431348609.0UNF:6:SjvV0G3Fdz6HJDdOdnsxEw==ratio class 1891 to class 1892609.0.0.0107.2327041625976666.9270858764648483.272739278859182.141311645507816.790470522319005UNF:6:bxnSW4zlFevxn0xR05L5Xw==ratio class 1892 to class 189390.13308715820312102.190925598144534.3354041130415350.0609.0102.29816813852595115.29961395263672.UNF:6:aUjwnZYvV+LasP/oLYYoPA==ratio class 1893 to class 189496.7126922607421983.829238891601560.0105.8610687255859496.34571452524473.7807940199896306609.0.UNF:6:M72MT+0mkXJyVt+M+Bkuyw==ratio class 1894 to class 189596.43315887451172609.0.4.7561883109822150.0108.3039932250976696.669243823522884.39306640625UNF:6:ua1WEbQshcKfeCZEfPQnAg==ratio class 1895 to class 1896111.2784729003906288.15948486328125100.43083190917969609.04.813884376584863100.274918216398390.0.UNF:6:3eJlxmn17yghvCBNvomITw==ratio class 1896 to class 18970.0.119.71947479248047104.22073092405824103.42362976074219609.094.514900207519534.819401043098169UNF:6:WDcRSFReqgVsOFnMu1z/vg==ratio class 1897 to class 1898.4.352381515372539108.253860473632810.0609.084.5108718872070399.5968856811523499.29466203711499UNF:6:ma7jQ12iRSmst5yOUajd0A==ratio class 1898 to class 18995.101471252700096594.18695831298828101.679824829101560.0609.0102.55141773443113120.79866790771484.UNF:6:cny48wtF9OXqvp6eWXb+rg==ratio class 1899 to class 19000.0.609.098.065673828125107.73830413818367.16543233517175896.6397449011090376.17237091064453UNF:6:fWd1pRRnhQCW77Nn/OxNXg==ratio class 1900 to class 190188.004547119140620.0609.0129.132568359375102.34228050845793.7.94726504089626101.30208587646484UNF:6:2bl00myeAx6kn4lrQpOJZQ==ratio class 1901 to class 1902.3.75728240739217689.147880554199220.099.23741912841797609.099.07127915305652109.53470611572266UNF:6:YJLIKsvc5XpJh/ztFyhJuA==ratio class 1902 to class 19034.159183530660545609.00.0100.5200576782226688.64197540283203.107.92821502685547100.26864720487046UNF:6:zse3WeqBln0SelWrZCVBxw==ratio class 1903 to class 19043.393248033268951108.0279235839843898.509170269144.0.0609.091.7467956542968898.45553588867188UNF:6:MX0/yya7OqMMz2B2RlD7ew==ratio class 1904 to class 190597.5582205235273609.04.81206250777276783.712577819824220.098.0241470336914.108.15022277832031UNF:6:8bMCrXAYpvmeOyMm8IaYbQ==ratio class 1905 to class 1906103.58156813698254609.00.0114.70310974121094103.86604309082031.4.54380085835974792.47430419921875UNF:6:Mvpy958TOd1xVwaXEPQowA==ratio class 1906 to class 190798.782493591308698.54126590421837.50788251375966.0.0115.2822723388671976.09756469726562609.0UNF:6:O6NYaRxzi35aU3VcdYFk8Q==ratio class 1907 to class 190817.593507766723633186.17401123046875.102.415157208497533.28009277628584609.0101.020256042480470.0UNF:6:kSZoDYVh3/MBmyIxkOFVYg==ratio class 1908 to class 1909122.12885284423828.609.00.0100.643030977797246.37551909025344386.01602172851562100.28169250488281UNF:6:4Lpe9RbXj+whYdQhLxkmag==ratio class 1909 to class 1910.0.047.237003326416016655.0094604492188116.53619454920981609.084.450796398000998.34024810791016UNF:6:IH7PjfercLpCiTPf4YrRGA==ratio class 1910 to class 1911117.07592773437590.48950958251953100.552066846825610.05.7768376505771.99.79166412353516609.0UNF:6:2nwanjniyz+JkXpSSGpUPw==Ratio class 1911 to class 19100.099.7707660718896100.20877075195312609.05.588747135785295110.5100479125976685.41465759277344.UNF:6:qRXaIRtiJ5zPJ0sL0ULsNA==Ratio class 1912 to class 191079.89392852783203126.893356323242197.461015888085681105.07173156738281105.23618246495039609.00.0.UNF:6:FmZ4ELyTTjrSBE6ZiJkz7Q==Ratio class 1913 to class 191065.76663208007812146.36785888671875112.863067626953120.0113.25298861799568609.011.297343657256782.UNF:6:tD5IYgPTKjGSBATBgNhyeQ==Ratio class 1914 to class 191059.4262313842773440.0112.4740234901165512.56662698978242.135.7142791748047113.12447357177734609.0UNF:6:5VMLOvlDad2UsMj9dN6ZMA==Ratio class 1911 to classes 1911-19141.647430087735693323.20133209228515619.831659317016629.402488708496094.609.023.253205003409550.0UNF:6:X4pVMWf7GT99oJbEAcfG2w==Ratio class 1912 to classes 1911-1914609.024.4554138183593750.77319547125576560.027.502075195312522.433002471923828.24.45587079278354UNF:6:B7pod+ualQyRyzlU9AKqWg==Ratio class 1913 to classes 1911-191426.24641330762841226.3051052093505860.022.6390037536621128.7667064666748050.9372696044774947609.0.UNF:6:n25ycmrl9R9liGCFRoqDKw==Ratio class 1914 to classes 1911-191420.456432342529297.1.34723024422321626.089570999145508609.029.740106582641626.044510830407850.0UNF:6:J7UOiAYgXUT+fxGPFF0SUg==Year35.868365000974571901.01926.0.1939.31372549019651.00.02012.0UNF:6:6oCJthG0NMltdYJ7+wBOSA==Sex ratio aged 15 to 50101.079101562529.03.0530743795994755.88.8349227905273422.098.2949138988148199.35146713256836UNF:6:izFTfDH+6lKjSQE0AfdSzA==Share of women born in their d��partement of residence (%)44.07.0.75.978334459816413.3177977269554272.123249948083974.6368137617334280.11582729862742UNF:6:oQ+zm/fCOCJAeL49GnM5HQ==Share of marrying women born in their d��partement of residence (%)8.076.928394141221161.34431442356125843.077.9345496817544674.4832176859770876.58724031936232.UNF:6:wvRqBi5/BoNjABcetIjC6w==Share of working women born in their d��partement of residence (%).67.6617751566323944.061.75411472602347.072.9172852107044867.700108123345444.403208413046002UNF:6:ABdrMXFkCoAqyY8jMAwScw==Female labor force participation rate, married women (%)22.2845886775425523.55762863159179744.020.335601806640625.22.811361312866217.01.3219551263435776UNF:6:ybcK/Rr2CIQCX7gPrTYdGA==Female labor force participation rate, single women (%)65.8441363743373465.6114120483398469.521499633789062.23992998082269427.062.48414993286133.44.0UNF:6:rYaB3Dz0gNLagR9zu2Odsg==Female labor force participation rate, widowed and divorced women (%)42.7240257263183637.03706196376255432.71274948120117.44.03.137095548491716537.433525085449227.0UNF:6:ExZCfgYN3m2hmkPvLp3/8A==Subsidies, single working woman without children (Francs)1766.970092773437536.0225.0752750563583515.0935.1197424994575.765.7968139648438824.458984375UNF:6:bC/48Io+qeXaV9kPykC6mg==Subsidies, widowed woman without children (Francs)395.864838630329636.00.015.0294.2412431504992.173.017929077148441284.331787109375UNF:6:IdWmQSfm4ylertu4W+2XXA==year1939.31372549019651.00.0.35.868365000974571926.01901.02012.0UNF:6:6oCJthG0NMltdYJ7+wBOSA==sexratio_15t5098.2949138181818122.099.3514673.0530742402550133101.0791.88.83492329.0UNF:6:YmpEPNnOnxqvaWDe2uGMlg==bindep_f_all72.123249948083980.1158272986274275.9783344598164174.6368137617334244.07.03.31779772695542.UNF:6:oQ+zm/fCOCJAeL49GnM5HQ==bindep_f_mar8.0.76.9283941412211674.4832176859770877.9345496817544643.076.587240319362321.344314423561258UNF:6:wvRqBi5/BoNjABcetIjC6w==bindep_f_work44.072.9172852107044861.754114726023467.6617751566323967.700108123345444.4032084130460027.0.UNF:6:ABdrMXFkCoAqyY8jMAwScw==flfp_mar44.07.01.3219550855780127.23.55762922.28458871428571420.33560222.811361UNF:6:ybcK/Rr2CIQCX7gPrTYdGA==flfp_sing65.6114127.062.4841544.069.5215.65.844136428571432.239930044196014UNF:6:rYaB3Dz0gNLagR9zu2Odsg==flfp_widiv.44.032.71274937.0370623.137095691330332537.4335257.042.724026UNF:6:wiJROMEGTMqbIW/hU8Uhjw==sub_work765.79681935.1197427777778.225.07527642618064824.45898515.01766.970136.0UNF:6:w63DZTXKKSH3r29NLdrxmg==sub_wid0.036.01284.3318294.24124333333333.173.0179299999999815.0395.86483833128545UNF:6:IdWmQSfm4ylertu4W+2XXA==dep_nameUNF:6:aLcOgLo1mjcNWHMPrfNxaw==class1905.01909.51914.0.2.6945188169089223696.01909.50.0UNF:6:XQoK9aH5w/WJPUslMnR37g==height693.03.0166.067871.0715687660225928166.17453405483406.161.86485170.09401UNF:6:QES9kNgLPMGf2x5HOCYZaw==educ_0_sh0.212856531.7460153258005362.1.89518155432.09.4982082.4437148983796297264.0UNF:6:SyVCbaUoXOiPriUX9ftrQw==educ_1_sh1.2487447734733180.0.0.947722431.0485631578702552265.0431.011.205273UNF:6:netlUKlRin05u9Xa6KOmlA==educ_2_sh.264.0432.028.10997687240740811.6141224064528829.7243629999999970.070.261284UNF:6:+nFYOHb33aSMA+1MPpFjyQ==educ_3_sh14.43304918133538156.2954723553240793.188118.6.9992085264.054.465416432.0UNF:6:Ls9/5EABhZJA/OfyZNeMog==educ_4_sh0.97109881804856650.316706242.38240275.2.5307768433101855.723969432.0264.0UNF:6:xclvF0XlntYGJYouic9ZRA==educ_5_sh432.0264.02.05842552881944441.96757820000000020.18107741.0.77716045362944534.7120419UNF:6:JiZEJ6kC616+ybB3d4//hA==educ_na_sh4.63083947899578330.190840.24855012265.07.3327531921809745431.0.6.326304UNF:6:q3xbQsM94YzPVRvcA/QmHw==uninc_health23.406963297413792.11.899642696.05.5269504636476720.047.18309822.8180475UNF:6:Bpyw5i0Yt7ZcPOArQRP3Lw==uninc_other2.278670133.95573696.08.886491402298851.7.92987654999999954.3326467800758090.0UNF:6:g7wN7DBW9KI7kWKHOJea2w==inc37.36237.0.0696.06.463162376456585569.0931481.76772367.70633872126437UNF:6:IEkl3gah1GVjjnLdHtNMmA==D��partementUNF:6:MgHoMaWbW3D7SogWZPBtLQ==Classe0.01905.01909.51909.5.1914.0696.02.6945188169089223UNF:6:XQoK9aH5w/WJPUslMnR37g==Height (cm)693.01.071568616396532166.06787109375170.094009399414063.0161.86485290527344166.17453405867408.UNF:6:w16auQpDmN8zsh7u9A3z3A==Share of recruits that cannot read or write (%)1.7460153252433641.8951815366744995.432.02.44371489752773830.212856531143188489.498208045959473264.0UNF:6:oCvlaiUnRmeKeWihs3sUWA==Share of recruits that can only read (%)0.00.9477224349975586.11.2052726745605471.24874477170563351.048563150276047265.0431.0UNF:6:QHECa2G1aow3hPsamSDn1A==Share of recruits that can read and write (%)432.0.70.261283874511720.0264.028.10997686090154729.72436332702636711.61412241383134UNF:6:wSnGbuIX3NwyLKD/XyAYTw==Share of recruits with some primary education (%)432.056.295472348177866.999208450317383.93.1881179809570354.46541595458984414.433049176673128264.0UNF:6:SO/6BcrjLxAPFnxpAMPQrg==Share of recruits with primary education diploma (%).2.3824027776718140.31670624017715454264.00.97109881789902735.7239689826965332.5307768434286118432.0UNF:6:zEsCjLZhDVuOeKephWbiSg==Share of recruits with secondary education diploma (%)2.0584255302048944264.01.96757817268371580.18107740581035614.4.712041854858398432.00.7771604532998682UNF:6:aNcs06P+2aMjZrckRMConw==Share of recruits education unkown (%).431.0265.030.1908397674560557.3327531877498916.3263039588928220.248550117015838624.630839469052735UNF:6:WISueiSEnEcvS77ZmJlapw==Share conscripts not recruited on health ground (%)5.5269504382219480.011.89964199066162123.406963293579822.81804752349853547.18309783935547.696.0UNF:6:ZwD45SrYRjuzdT1tXwckog==Share conscripts not recruited for other reasons (%)4.3326467752679188.886491395961276.0.02.27867007255554233.955730438232427.9298765659332275696.0UNF:6:m16gLb6Elp1P49z6yLBwQw==Share conscripts recruited (%)0.0696.0.81.767723083496167.706338712538869.09313964843756.46316237035820937.362369537353516UNF:6:ZcuYrPJFVL/paunXoIAZkw==year1946.01922.251923.50.01901.014.527166692548171.2088.0UNF:6:w5AL/r+bC27Y8qAm49eURg==dep_id2088.090.026.181265919125636.0.01.044.86206896551653544.0UNF:6:EGJnFvkV3iuxocQOofl7Hw==dep_nameUNF:6:dSbN0g+BqiYYMi9u40JaGw==age_groupUNF:6:yhbcudGrnO0hb2ivLOoMDg==sexratio91.4541930.053.8706632088.011.96415748363182.91.2698837710728247.27774UNF:6:xo9znX6skcTd7jiHAQ1iDA==deathrate.2088.019.8869297781609219.0880260.09.9270229312465557.6959573.0907278UNF:6:F+7bFSMtIXvAduqJ7gKj2g==Year1923.514.5271666925481711946.0.2088.01901.00.01922.25UNF:6:w5AL/r+bC27Y8qAm49eURg==D��partement id90.044.862068965516535.2088.044.00.026.1812659191256361.0UNF:6:EGJnFvkV3iuxocQOofl7Hw==D��partementUNF:6:X/boUgpOsvIBwX+KHGMy7w==Decennial age groupUNF:6:yhbcudGrnO0hb2ivLOoMDg==Sex ratio91.26988379343258247.277740478515620.011.9641575309680791.45419311523438.53.8706626892089842088.0UNF:6:YaSLqdu++mIF/7k/if4ACQ==Military death rate by decennial age group (%)0.09.92702293562688419.886929782414335.57.695957183837892088.019.088026046752933.0907278060913086UNF:6:iG5cnQIgcuZb4ZAk2pUpxA==Year0.0.1916.51.78376517003168941914.01919.01916.512.0UNF:6:HltaJTg+YcEJFwftYoo5hw==Month1.0.4.5833333333333337.08.03.17542648054294212.00.0UNF:6:gTecOrZ2DdEDtlLYYWCiiA==Date (numeric)1914.58337402343751916.8333740234375.1916.881978352864512.00.01919.58337402343751.7282137001847246UNF:6:jVGRvP5okQ/C+b0+s6/4UA==Female employment index (07/1914 = 100)99.0464709927695495.50357047045226.120.6117389892109512.00.022.7577265443068742.966767288554564UNF:6:+q3aWkeD9/oAY6WRgPdwAg==Male employment index (07/1914 = 100)12.0100.031.88819668948092518.3316909316247350.075.8389833964724971.8795667394007.UNF:6:LvMlifUjahtpJDfv38T4Dw==Firms in operation index (07/1914 = 100)82.0178833007812579.5864013036092112.053.3078269958496112.160012210113495100.00.0.UNF:6:FjdFoc5ppgBc2wjfeo6/ZQ==year1.7837651700316894.1914.012.01919.00.01916.51916.5UNF:6:HltaJTg+YcEJFwftYoo5hw==month0.07.03.1754264805429428.012.01.04.583333333333333.UNF:6:gTecOrZ2DdEDtlLYYWCiiA==date.0.01916.8821919.583412.01916.83341.72821975454511741914.5834UNF:6:jVGRvP5okQ/C+b0+s6/4UA==femindex99.046470992769540.022.75772654430686312.042.9667672885545695.50357047045225120.6117389892109.UNF:6:+q3aWkeD9/oAY6WRgPdwAg==malindex71.879566739400712.00.0100.031.88819668948092.75.8389833964724918.331690931624735UNF:6:LvMlifUjahtpJDfv38T4Dw==firmindex53.307827100.012.079.586401333333330.012.160012207819367.82.01788300000001UNF:6:imy0HWHpwFsAN067tHj2mg==README.txttext/plainboehnke_gay_2020_appendix.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figureA1.epsapplication/postscriptboehnke_gay_2020_appendix_figureA2.epsapplication/postscriptboehnke_gay_2020_appendix_figureA3.epsapplication/postscriptboehnke_gay_2020_appendix_figureA4.pdfapplication/pdfboehnke_gay_2020_appendix_figureA5.epsapplication/postscriptboehnke_gay_2020_appendix_figureA6a.epsapplication/postscriptboehnke_gay_2020_appendix_figureA6b.epsapplication/postscriptboehnke_gay_2020_appendix_figureA6c.epsapplication/postscriptboehnke_gay_2020_appendix_figureC1a.epsapplication/postscriptboehnke_gay_2020_appendix_figureC1b.epsapplication/postscriptboehnke_gay_2020_appendix_figureC2.pdfapplication/pdfboehnke_gay_2020_appendix_figureD1.epsapplication/postscriptboehnke_gay_2020_appendix_figureG1a.epsapplication/postscriptboehnke_gay_2020_appendix_figureG1b.epsapplication/postscriptboehnke_gay_2020_appendix_figure_A1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_A2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_A3.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_A4.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_A5.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_A6.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_C1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_C2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_D1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_G1a.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_figure_G1b.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A10.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A3.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A4.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A5.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A6.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A7.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A8.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_A9.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_B1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_B2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_D1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_D2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_E1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_F1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_F2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_F3.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_F4.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_G1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_G2.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_G3.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_G4.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_G5.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_G6.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_table_H1.doapplication/x-stata-syntaxboehnke_gay_2020_appendix_tableA1.texapplication/x-texboehnke_gay_2020_appendix_tableA10.texapplication/x-texboehnke_gay_2020_appendix_tableA2.texapplication/x-texboehnke_gay_2020_appendix_tableA3.texapplication/x-texboehnke_gay_2020_appendix_tableA4.texapplication/x-texboehnke_gay_2020_appendix_tableA5.texapplication/x-texboehnke_gay_2020_appendix_tableA6.texapplication/x-texboehnke_gay_2020_appendix_tableA7.texapplication/x-texboehnke_gay_2020_appendix_tableA8.texapplication/x-texboehnke_gay_2020_appendix_tableA9.texapplication/x-texboehnke_gay_2020_appendix_tableB1.texapplication/x-texboehnke_gay_2020_appendix_tableB2.texapplication/x-texboehnke_gay_2020_appendix_tabled1.texapplication/x-texboehnke_gay_2020_appendix_tableD2.texapplication/x-texboehnke_gay_2020_appendix_tableE1.texapplication/x-texboehnke_gay_2020_appendix_tableF1.texapplication/x-texboehnke_gay_2020_appendix_tableF2.texapplication/x-texboehnke_gay_2020_appendix_tableF3.texapplication/x-texboehnke_gay_2020_appendix_tabl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