education policy= IF THEN ELSE(Time>=2005, 5, 1) ~ Dmnl ~ | intake ratio[sex,area]= primary gross intake[sex,area]/(primary school age population[sex,area]-primary students enrollment\ [sex,area]) ~ Dmnl/Year ~ | real education expenditure[area]= (estimated federal and provincial primary education expenditure fraction [area](Time\ )+estimated private education expenditure fraction[area](Time)) *education policy *gdp in PPP(Time)/gdp deflator table(Time) ~ $/Year ~ This variable represents the public expenditure for education, at constant prices \ (in real terms). It is calculated by dividing the education expenditure at \ current prices by the deflator of the Gross Domestic Product. This variable is used to calculate the adjustment in the perceived \ education expenditure. | average gross enrollment primary= (average gross enrollment rate[FEMALE,rural]*primary school age population[FEMALE,rural\ ]/SUM(primary school age population [sex!,area!])) +(average gross enrollment rate[MALE,rural]*primary school age population[MALE,rural\ ]/SUM(primary school age population [sex!,area!])) +(average gross enrollment rate[FEMALE,urban]*primary school age population[FEMALE,urban\ ]/SUM(primary school age population [sex!,area!])) +(average gross enrollment rate[MALE,urban]*primary school age population[MALE,urban\ ]/SUM(primary school age population [sex!,area!])) ~ Dmnl ~ | literacy rate= (average literacy rate[rural]*"% rural population"+average literacy rate[urban]*(1-"% rural population"\ ))*100 ~ Dmnl ~ | "primary as % of total population"= total primary school age population/total population ~ ~ | total primary school age population= SUM(primary school age population[sex!,area!]) ~ ~ | life table death rates[sex, urban, infant]= life table death rates function [sex,infant](life expectancy[sex,urban]) ~~| life table death rates[sex, urban, over five]= life table death rates function[sex,over five](life expectancy[sex,urban]) ~~| life table death rates[sex, urban, under five]= life table death rates function[sex,under five](life expectancy[sex,urban]) ~~| life table death rates[sex, rural, infant]= life table death rates function[sex,infant](life expectancy[sex,rural]) ~~| life table death rates[sex, rural, over five]= life table death rates function[sex,over five](life expectancy[sex,rural]) ~~| life table death rates[sex, rural, under five]= life table death rates function[sex,under five](life expectancy[sex, rural]) ~ 1/Year ~ life table death rates function[sex, age group](life expectancy[sex]) | life table death rates function[FEMALE, AG UNDER 1]( [(0,0)-(80,0.6)],(20,0.4282),(22.5,0.39364),(25,0.36212),(27.5,0.3332),(30,0.3065),(\ 32.5,0.28173),(35,0.25865),(37.5,0.23708),(40,0.21683),(42.5,0.19779),(45,0.17997),\ (47.5,0.16337),(50,0.1474),(52.5,0.13206),(55,0.11733),(57.5,0.10323),(60,0.08972),\ (62.5,0.07682),(65,0.06452),(67.5,0.05279),(70,0.04096),(72.5,0.03061),(75,0.02139)\ ,(77.5,0.0136),(80,0.00755)) ~~| life table death rates function[FEMALE, AG 1 TO 4]( [(0,0)-(80,0.08)],(20,0.067867),(22.5,0.061285),(25,0.055398),(27.5,0.050092),(30,0.045273\ ),(32.5,0.040865),(35,0.036813),(37.5,0.03307),(40,0.029598),(42.5,0.026364),(45,0.02298\ ),(47.5,0.019822),(50,0.01698),(52.5,0.014414),(55,0.012082),(57.5,0.009955),(60,0.007998\ ),(62.5,0.006187),(65,0.004498),(67.5,0.002913),(70,0.001915),(72.5,0.001185),(75,0.000656\ ),(77.5,0.00031),(80,0.000118)) ~~| life table death rates function[FEMALE, AG 5 to 9]( [(0,0)-(80,0.02)],(20,0.014972),(22.5,0.013633),(25,0.012417),(27.5,0.011307),(30,0.010287\ ),(32.5,0.009345),(35,0.00847),(37.5,0.007654),(40,0.006892),(42.5,0.006178),(45,0.005449\ ),(47.5,0.004761),(50,0.00413),(52.5,0.003549),(55,0.003014),(57.5,0.002519),(60,0.002056\ ),(62.5,0.001627),(65,0.001223),(67.5,0.000841),(70,0.000583),(72.5,0.000376),(75,0.00022\ ),(77.5,0.000112),(80,4.6e-005)) ~~| life table death rates function[FEMALE, AG 10 to 14]( [(0,0)-(80,0.01)],(20,0.008268),(22.5,0.007555),(25,0.006907),(27.5,0.006313),(30,0.005768\ ),(32.5,0.005263),(35,0.004792),(37.5,0.004354),(40,0.003943),(42.5,0.003555),(45,0.003206\ ),(47.5,0.002838),(50,0.002496),(52.5,0.002177),(55,0.001879),(57.5,0.001599),(60,0.001338\ ),(62.5,0.00109),(65,0.000859),(67.5,0.000641),(70,0.000454),(72.5,0.00031),(75,0.000192\ ),(77.5,0.000106),(80,4.8e-005)) ~~| life table death rates function[FEMALE, AG 15 TO 19]( [(0,0)-(80,0.02)],(20,0.01111),(22.5,0.010165),(25,0.009308),(27.5,0.008522),(30,0.007799\ ),(32.5,0.007131),(35,0.00651),(37.5,0.00593),(40,0.005388),(42.5,0.004879),(45,0.004449\ ),(47.5,0.003965),(50,0.003509),(52.5,0.003083),(55,0.002682),(57.5,0.002305),(60,0.001952\ ),(62.5,0.001619),(65,0.001305),(67.5,0.00101),(70,0.000711),(72.5,0.000494),(75,0.000316\ ),(77.5,0.00018),(80,8.6e-005)) ~~| life table death rates function[FEMALE, AG 20 to 24]( [(0,0)-(80,0.02)],(20,0.014534),(22.5,0.013299),(25,0.012179),(27.5,0.011154),(30,0.010212\ ),(32.5,0.009341),(35,0.008534),(37.5,0.00778),(40,0.007075),(42.5,0.006414),(45,0.005864\ ),(47.5,0.005241),(50,0.004651),(52.5,0.004099),(55,0.00358),(57.5,0.003089),(60,0.002628\ ),(62.5,0.002194),(65,0.001784),(67.5,0.001398),(70,0.000994),(72.5,0.000701),(75,0.000456\ ),(77.5,0.000264),(80,0.00013)) ~~| life table death rates function[FEMALE, AG 25 to 29]( [(0,0)-(80,0.02)],(20,0.017232),(22.5,0.015755),(25,0.014416),(27.5,0.013191),(30,0.012068\ ),(32.5,0.011031),(35,0.010069),(37.5,0.009171),(40,0.008334),(42.5,0.007547),(45,0.006878\ ),(47.5,0.006147),(50,0.005459),(52.5,0.00481),(55,0.004199),(57.5,0.003624),(60,0.003081\ ),(62.5,0.002569),(65,0.002087),(67.5,0.001629),(70,0.001189),(72.5,0.000841),(75,0.000549\ ),(77.5,0.00032),(80,0.00016)) ~~| life table death rates function[FEMALE, AG 30 to 34]( [(0,0)-(80,0.02)],(20,0.019085),(22.5,0.017453),(25,0.015976),(27.5,0.014628),(30,0.01339\ ),(32.5,0.012246),(35,0.011188),(37.5,0.0102),(40,0.009277),(42.5,0.008412),(45,0.007646\ ),(47.5,0.006872),(50,0.006135),(52.5,0.005437),(55,0.004773),(57.5,0.004144),(60,0.003549\ ),(62.5,0.002984),(65,0.00245),(67.5,0.001944),(70,0.001472),(72.5,0.001064),(75,0.000715\ ),(77.5,0.000432),(80,0.000226)) ~~| life table death rates function[FEMALE, AG 35 to 39]( [(0,0)-(80,0.04)],(20,0.020734),(22.5,0.01899),(25,0.017412),(27.5,0.015972),(30,0.014649\ ),(32.5,0.01343),(35,0.012299),(37.5,0.011246),(40,0.010262),(42.5,0.009339),(45,0.008512\ ),(47.5,0.007718),(50,0.006956),(52.5,0.006227),(55,0.005527),(57.5,0.004857),(60,0.004215\ ),(62.5,0.003606),(65,0.003024),(67.5,0.002472),(70,0.001956),(72.5,0.001466),(75,0.001028\ ),(77.5,0.000657),(80,0.000366)) ~~| life table death rates function[FEMALE, AG 40 to 44]( [(0,0)-(80,0.04)],(20,0.021542),(22.5,0.019792),(25,0.018209),(27.5,0.016765),(30,0.015437\ ),(32.5,0.014214),(35,0.01308),(37.5,0.012024),(40,0.011037),(42.5,0.01011),(45,0.009281\ ),(47.5,0.008522),(50,0.007782),(52.5,0.007063),(55,0.006367),(57.5,0.005692),(60,0.005043\ ),(62.5,0.004417),(65,0.003817),(67.5,0.003241),(70,0.002682),(72.5,0.002103),(75,0.001561\ ),(77.5,0.001068),(80,0.000655)) ~~| life table death rates function[FEMALE, AG 45 to 49]( [(0,0)-(80,0.04)],(20,0.023222),(22.5,0.021442),(25,0.019831),(27.5,0.018362),(30,0.017013\ ),(32.5,0.01577),(35,0.014615),(37.5,0.013542),(40,0.012539),(42.5,0.011598),(45,0.010772\ ),(47.5,0.010033),(50,0.009306),(52.5,0.008588),(55,0.007883),(57.5,0.007193),(60,0.006518\ ),(62.5,0.005866),(65,0.005232),(67.5,0.004623),(70,0.003982),(72.5,0.003277),(75,0.002577\ ),(77.5,0.001905),(80,0.001287)) ~~| life table death rates function[FEMALE, AG 50 to 54]( [(0,0)-(80,0.04)],(20,0.030125),(22.5,0.027878),(25,0.025846),(27.5,0.023996),(30,0.022301\ ),(32.5,0.020739),(35,0.019292),(37.5,0.017949),(40,0.016692),(42.5,0.015518),(45,0.014492\ ),(47.5,0.01359),(50,0.012696),(52.5,0.011812),(55,0.010939),(57.5,0.010077),(60,0.009235\ ),(62.5,0.008412),(65,0.007613),(67.5,0.006841),(70,0.006004),(72.5,0.005053),(75,0.004089\ ),(77.5,0.00313),(80,0.002214)) ~~| life table death rates function[FEMALE, AG 55 to 59]( [(0,0)-(80,0.06)],(20,0.044066),(22.5,0.040741),(25,0.037751),(27.5,0.035037),(30,0.032558\ ),(32.5,0.030281),(35,0.02818),(37.5,0.026233),(40,0.024418),(42.5,0.022724),(45,0.021224\ ),(47.5,0.019946),(50,0.018677),(52.5,0.017418),(55,0.016175),(57.5,0.014948),(60,0.013747\ ),(62.5,0.012574),(65,0.011435),(67.5,0.010329),(70,0.009135),(72.5,0.007751),(75,0.006338\ ),(77.5,0.004916),(80,0.003539)) ~~| life table death rates function[FEMALE, AG 60 to 64]( [(0,0)-(80,0.08)],(20,0.067328),(22.5,0.062183),(25,0.057588),(27.5,0.053448),(30,0.049689\ ),(32.5,0.046256),(35,0.043098),(37.5,0.040187),(40,0.037485),(42.5,0.03497),(45,0.032766\ ),(47.5,0.030909),(50,0.029061),(52.5,0.027225),(55,0.025409),(57.5,0.023618),(60,0.021859\ ),(62.5,0.020139),(65,0.018468),(67.5,0.016848),(70,0.015061),(72.5,0.012957),(75,0.010776\ ),(77.5,0.008543),(80,0.00633)) ~~| life table death rates function[FEMALE, AG 65 TO 69]( [(0,0)-(80,0.2)],(20,0.103128),(22.5,0.095154),(25,0.088119),(27.5,0.08185),(30,0.07621\ ),(32.5,0.071098),(35,0.066434),(37.5,0.062158),(40,0.058215),(42.5,0.054562),(45,0.051414\ ),(47.5,0.048795),(50,0.046181),(52.5,0.043581),(55,0.040999),(57.5,0.038449),(60,0.035938\ ),(62.5,0.03348),(65,0.031083),(67.5,0.028762),(70,0.02611),(72.5,0.022925),(75,0.019554\ ),(77.5,0.016015),(80,0.012383)) ~~| life table death rates function[FEMALE, AG 70 TO 74]( [(0,0)-(80,0.2)],(20,0.153253),(22.5,0.141437),(25,0.131208),(27.5,0.122223),(30,0.11424\ ),(32.5,0.107088),(35,0.100623),(37.5,0.094739),(40,0.08936),(42.5,0.084409),(45,0.080232\ ),(47.5,0.076812),(50,0.073385),(52.5,0.069962),(55,0.066552),(57.5,0.063173),(60,0.059837\ ),(62.5,0.05656),(65,0.053358),(67.5,0.050246),(70,0.046546),(72.5,0.041973),(75,0.037003\ ),(77.5,0.031608),(80,0.025828)) ~~| life table death rates function[FEMALE, AG 75 TO 79]( [(0,0)-(80,0.4)],(20,0.229425),(22.5,0.211002),(25,0.195586),(27.5,0.182403),(30,0.170948\ ),(32.5,0.160858),(35,0.151876),(37.5,0.143809),(40,0.13651),(42.5,0.129857),(45,0.124264\ ),(47.5,0.119857),(50,0.115439),(52.5,0.111021),(55,0.106614),(57.5,0.102243),(60,0.097915\ ),(62.5,0.093661),(65,0.089502),(67.5,0.085456),(70,0.080531),(72.5,0.074265),(75,0.067323\ ),(77.5,0.059589),(80,0.051014)) ~~| life table death rates function[FEMALE, AG 80 AND OVER]( [(0,0)-(80,0.4)],(20,0.391218),(22.5,0.37373),(25,0.357897),(27.5,0.343444),(30,0.330171\ ),(32.5,0.317911),(35,0.306535),(37.5,0.295933),(40,0.286018),(42.5,0.27672),(45,0.268693\ ),(47.5,0.262235),(50,0.255637),(52.5,0.248919),(55,0.242093),(57.5,0.235195),(60,0.228243\ ),(62.5,0.221283),(65,0.214359),(67.5,0.207498),(70,0.198992),(72.5,0.187896),(75,0.175238\ ),(77.5,0.160649),(80,0.143813)) ~~| life table death rates function[MALE, AG UNDER 1]( [(0,0)-(80,0.6)],(17.425,0.50547),(19.929,0.46489),(22.427,0.42789),(24.915,0.39394)\ ,(27.395,0.36259),(29.864,0.33351),(32.323,0.30642),(34.769,0.28109),(37.204,0.25732\ ),(39.627,0.23496),(42.073,0.21401),(44.383,0.19481),(46.701,0.17627),(49.027,0.15839\ ),(51.36,0.14118),(53.698,0.12464),(56.039,0.10877),(58.379,0.09357),(60.713,0.07905\ ),(63.041,0.0652),(65.352,0.05148),(67.805,0.03889),(70.288,0.02755),(72.797,0.01781\ ),(75.322,0.01011)) ~~| life table death rates function[MALE, AG 1 TO 4]( [(0,0)-(80,0.08)],(17.425,0.068568),(19.929,0.061935),(22.427,0.056007),(24.915,0.050662\ ),(27.395,0.045807),(29.864,0.04137),(32.323,0.037289),(34.769,0.033523),(37.204,0.030025\ ),(39.627,0.026771),(42.073,0.023318),(44.383,0.020228),(46.701,0.017423),(49.027,0.014868\ ),(51.36,0.012531),(53.698,0.010386),(56.039,0.0084),(58.379,0.006559),(60.713,0.004837\ ),(63.041,0.003221),(65.352,0.002207),(67.805,0.001398),(70.288,0.000798),(72.797,0.000393\ ),(75.322,0.000158)) ~~| life table death rates function[MALE, AG 5 to 9]( [(0,0)-(80,0.02)],(17.425,0.014289),(19.929,0.013033),(22.427,0.011894),(24.915,0.010853\ ),(27.395,0.009896),(29.864,0.009011),(32.323,0.008189),(34.769,0.007423),(37.204,0.006707\ ),(39.627,0.006036),(42.073,0.005335),(44.383,0.004735),(46.701,0.004173),(49.027,0.003642\ ),(51.36,0.003146),(53.698,0.002676),(56.039,0.002234),(58.379,0.001819),(60.713,0.001424\ ),(63.041,0.00105),(65.352,0.000797),(67.805,0.000551),(70.288,0.00035),(72.797,0.000196\ ),(75.322,9.4e-005)) ~~| life table death rates function[MALE, AG 10 to 14]( [(0,0)-(80,0.008)],(17.425,0.006543),(19.929,0.006014),(22.427,0.005533),(24.915,0.005092\ ),(27.395,0.004684),(29.864,0.004307),(32.323,0.003957),(34.769,0.00363),(37.204,0.003324\ ),(39.627,0.003034),(42.073,0.002781),(44.383,0.002535),(46.701,0.002297),(49.027,0.002067\ ),(51.36,0.001845),(53.698,0.001631),(56.039,0.001428),(58.379,0.001231),(60.713,0.001044\ ),(63.041,0.000865),(65.352,0.000693),(67.805,0.000527),(70.288,0.000376),(72.797,0.000246\ ),(75.322,0.000142)) ~~| life table death rates function[MALE, AG 15 TO 19]( [(0,0)-(80,0.01)],(17.425,0.009869),(19.929,0.009098),(22.427,0.008396),(24.915,0.007753\ ),(27.395,0.007162),(29.864,0.006613),(32.323,0.006104),(34.769,0.005629),(37.204,0.005186\ ),(39.627,0.004767),(42.073,0.004411),(44.383,0.004061),(46.701,0.003722),(49.027,0.003389\ ),(51.36,0.003067),(53.698,0.002753),(56.039,0.002452),(58.379,0.002161),(60.713,0.001881\ ),(63.041,0.001613),(65.352,0.001321),(67.805,0.001042),(70.288,0.000777),(72.797,0.000539\ ),(75.322,0.000332)) ~~| life table death rates function[MALE, AG 20 to 24]( [(0,0)-(80,0.02)],(17.425,0.014568),(19.929,0.013415),(22.427,0.01237),(24.915,0.011414\ ),(27.395,0.010534),(29.864,0.009721),(32.323,0.008965),(34.769,0.008261),(37.204,0.007605\ ),(39.627,0.006985),(42.073,0.006438),(44.383,0.005924),(46.701,0.005422),(49.027,0.004934\ ),(51.36,0.004462),(53.698,0.004002),(56.039,0.003559),(58.379,0.003132),(60.713,0.002723\ ),(63.041,0.002331),(65.352,0.001899),(67.805,0.001494),(70.288,0.001112),(72.797,0.000767\ ),(75.322,0.000472)) ~~| life table death rates function[MALE, AG 25 to 29]( [(0,0)-(80,0.02)],(17.425,0.014936),(19.929,0.013747),(22.427,0.012669),(24.915,0.011684\ ),(27.395,0.010778),(29.864,0.00994),(32.323,0.00916),(34.769,0.008435),(37.204,0.007757\ ),(39.627,0.007121),(42.073,0.006551),(44.383,0.006026),(46.701,0.005514),(49.027,0.005016\ ),(51.36,0.004531),(53.698,0.004063),(56.039,0.00361),(58.379,0.003172),(60.713,0.002753\ ),(63.041,0.002351),(65.352,0.00194),(67.805,0.001527),(70.288,0.001139),(72.797,0.000785\ ),(75.322,0.000484)) ~~| life table death rates function[MALE, AG 30 to 34]( [(0,0)-(80,0.02)],(17.425,0.016825),(19.929,0.015474),(22.427,0.01425),(24.915,0.01313\ ),(27.395,0.012101),(29.864,0.011152),(32.323,0.010271),(34.769,0.009449),(37.204,0.008679\ ),(39.627,0.00796),(42.073,0.007308),(44.383,0.006718),(46.701,0.006141),(49.027,0.00558\ ),(51.36,0.005034),(53.698,0.004508),(56.039,0.003998),(58.379,0.003507),(60.713,0.003034\ ),(63.041,0.002583),(65.352,0.002141),(67.805,0.001682),(70.288,0.001251),(72.797,0.000859\ ),(75.322,0.000531)) ~~| life table death rates function[MALE, AG 35 to 39]( [(0,0)-(80,0.04)],(17.425,0.020725),(19.929,0.019054),(22.427,0.017539),(24.915,0.016156\ ),(27.395,0.014887),(29.864,0.013715),(32.323,0.012627),(34.769,0.011615),(37.204,0.010669\ ),(39.627,0.009784),(42.073,0.008965),(44.383,0.008249),(46.701,0.007549),(49.027,0.006868\ ),(51.36,0.006205),(53.698,0.005562),(56.039,0.004939),(58.379,0.004339),(60.713,0.003762\ ),(63.041,0.003211),(65.352,0.002684),(67.805,0.002119),(70.288,0.001585),(72.797,0.001098\ ),(75.322,0.000683)) ~~| life table death rates function[MALE, AG 40 to 44]( [(0,0)-(80,0.04)],(17.425,0.025413),(19.929,0.023402),(22.427,0.021582),(24.915,0.019924\ ),(27.395,0.018403),(29.864,0.017),(32.323,0.015701),(34.769,0.014492),(37.204,0.013364\ ),(39.627,0.012305),(42.073,0.01133),(44.383,0.010498),(46.701,0.009682),(49.027,0.008878\ ),(51.36,0.008094),(53.698,0.007329),(56.039,0.006584),(58.379,0.005864),(60.713,0.005169\ ),(63.041,0.0045),(65.352,0.003845),(67.805,0.003115),(70.288,0.002404),(72.797,0.001732\ ),(75.322,0.001135)) ~~| life table death rates function[MALE, AG 45 to 49]( [(0,0)-(80,0.04)],(17.425,0.030596),(19.929,0.028303),(22.427,0.02623),(24.915,0.024343\ ),(27.395,0.022614),(29.864,0.021021),(32.323,0.019547),(34.769,0.018177),(37.204,0.016897\ ),(39.627,0.015699),(42.073,0.014607),(44.383,0.0137),(46.701,0.012799),(49.027,0.011908\ ),(51.36,0.011027),(53.698,0.010158),(56.039,0.009308),(58.379,0.008476),(60.713,0.007669\ ),(63.041,0.006886),(65.352,0.006073),(67.805,0.005118),(70.288,0.004148),(72.797,0.003182\ ),(75.322,0.002256)) ~~| life table death rates function[MALE, AG 50 to 54]( [(0,0)-(80,0.04)],(17.425,0.037098),(19.929,0.034562),(22.427,0.032271),(24.915,0.030188\ ),(27.395,0.028281),(29.864,0.026526),(32.323,0.024902),(34.769,0.023393),(37.204,0.021986\ ),(39.627,0.020667),(42.073,0.019476),(44.383,0.018522),(46.701,0.017564),(49.027,0.016602\ ),(51.36,0.015644),(53.698,0.014691),(56.039,0.013747),(58.379,0.012816),(60.713,0.011904\ ),(63.041,0.011014),(65.352,0.010037),(67.805,0.008822),(70.288,0.007531),(72.797,0.006166\ ),(75.322,0.004761)) ~~| life table death rates function[MALE, AG 55 to 59]( [(0,0)-(80,0.06)],(17.425,0.047399),(19.929,0.044419),(22.427,0.041733),(24.915,0.039295\ ),(27.395,0.037066),(29.864,0.035016),(32.323,0.03312),(34.769,0.031362),(37.204,0.029725\ ),(39.627,0.028196),(42.073,0.026814),(44.383,0.025737),(46.701,0.024647),(49.027,0.023549\ ),(51.36,0.022445),(53.698,0.021342),(56.039,0.020241),(58.379,0.019152),(60.713,0.018078\ ),(63.041,0.017026),(65.352,0.015825),(67.805,0.014284),(70.288,0.012597),(72.797,0.010753\ ),(75.322,0.008764)) ~~| life table death rates function[MALE, AG 60 to 64]( [(0,0)-(80,0.08)],(17.425,0.064514),(19.929,0.060645),(22.427,0.057172),(24.915,0.054032\ ),(27.395,0.051167),(29.864,0.048541),(32.323,0.046118),(34.769,0.043877),(37.204,0.041792\ ),(39.627,0.039848),(42.073,0.038138),(44.383,0.036789),(46.701,0.035422),(49.027,0.034038\ ),(51.36,0.032645),(53.698,0.031249),(56.039,0.029854),(58.379,0.028467),(60.713,0.027102\ ),(63.041,0.025757),(65.352,0.024179),(67.805,0.022134),(70.288,0.019861),(72.797,0.017333\ ),(75.322,0.014539)) ~~| life table death rates function[MALE, AG 65 TO 69]( [(0,0)-(80,0.1)],(17.425,0.094409),(19.929,0.08875),(22.427,0.08371),(24.915,0.079178\ ),(27.395,0.075073),(29.864,0.071329),(32.323,0.067897),(34.769,0.064731),(37.204,0.061798\ ),(39.627,0.059073),(42.073,0.056714),(44.383,0.054847),(46.701,0.052953),(49.027,0.051039\ ),(51.36,0.049111),(53.698,0.047176),(56.039,0.045245),(58.379,0.04333),(60.713,0.041439\ ),(63.041,0.039582),(65.352,0.037347),(67.805,0.034458),(70.288,0.031226),(72.797,0.027593\ ),(75.322,0.023536)) ~~| life table death rates function[MALE, AG 70 TO 74]( [(0,0)-(80,0.2)],(17.425,0.137523),(19.929,0.129467),(22.427,0.122371),(24.915,0.116054\ ),(27.395,0.110378),(29.864,0.10524),(32.323,0.100559),(34.769,0.096266),(37.204,0.092311\ ),(39.627,0.088654),(42.073,0.085587),(44.383,0.083118),(46.701,0.080615),(49.027,0.078085\ ),(51.36,0.075516),(53.698,0.072976),(56.039,0.070417),(58.379,0.067878),(60.713,0.065372\ ),(63.041,0.062911),(65.352,0.05985),(67.805,0.055887),(70.288,0.051409),(72.797,0.046309\ ),(75.322,0.040505)) ~~| life table death rates function[MALE, AG 75 TO 79]( [(0,0)-(80,0.4)],(17.425,0.204808),(19.929,0.192496),(22.427,0.181889),(24.915,0.172614\ ),(27.395,0.164409),(29.864,0.157073),(32.323,0.150462),(34.769,0.144462),(37.204,0.138981\ ),(39.627,0.133949),(42.073,0.129728),(44.383,0.12642),(46.701,0.12307),(49.027,0.119684\ ),(51.36,0.116277),(53.698,0.112864),(56.039,0.109457),(58.379,0.106078),(60.713,0.102742\ ),(63.041,0.09947),(65.352,0.095345),(67.805,0.089966),(70.288,0.08384),(72.797,0.076796\ ),(75.322,0.068672)) ~~| life table death rates function[MALE, AG 80 AND OVER]( [(0,0)-(80,0.4)],(17.425,0.363732),(19.929,0.350808),(22.427,0.339089),(24.915,0.328373\ ),(27.395,0.318522),(29.864,0.309413),(32.323,0.300952),(34.769,0.293059),(37.204,0.285679\ ),(39.627,0.278748),(42.073,0.272823),(44.383,0.268106),(46.701,0.263257),(49.027,0.258294\ ),(51.36,0.253229),(53.698,0.248079),(56.039,0.242865),(58.379,0.237624),(60.713,0.232375\ ),(63.041,0.227158),(65.352,0.220475),(67.805,0.211591),(70.288,0.201229),(72.797,0.18897\ ),(75.322,0.174363)) ~ 1/Year ~ | AGE SPECIFIC FERTILITY DISTRIBUTION TABLE 1( [(15,0)-(50,0.1)],(15,0),(17,0.003),(23.0275,0.0429825),(26.9878,0.0578947),(31.8043\ ,0.0552632),(35.9786,0.0372807),(40.0459,0.0258772),(45.6116,0.0166667),(50,0)) ~ Dmnl/Year ~ This table represents the fertility distribution by age. it is assumed to be \ constant and it is used to calculate the flow of births. Based on p.29 of FIVFIV.\!\!\! | indicated primary gross intake rate[FEMALE,area]= initial primary gross intake rate[FEMALE, area]*(effect of expenditure per primary school age person on primary gross intake rate table (relative education expenditure per primary school age person[area])*effect of relative literacy rate on primary gross intake rate (relative literacy rate[area])-male female entrance rate difference/2) ~~| indicated primary gross intake rate[MALE,area]= initial primary gross intake rate[MALE, area]*(effect of expenditure per primary school age person on primary gross intake rate table (relative education expenditure per primary school age person[area])*effect of relative literacy rate on primary gross intake rate (relative literacy rate[area])+male female entrance rate difference/2) ~ Dmnl/Year ~ This variable represents the total number of new entrants in the first grade of \ primary education, regardless of age, expressed as a percentage of the \ population at the official primary school-entrance age, before considering \ if this number actually exceeds the total children that are eligible to \ enter primary school. This variable is calculated as the initial intake rate, times the EFFECT OF \ EXPENDITURE PER PRIMARY SCHOOL AGE PERSON ON PRIMARY GROSS INTAKE RATE \ TABLE, using as input the relative expenditure per primary school age \ person. The male female entrance rate difference is also used to take into \ account the different probability for the two genders to enter school. This variable is used to calculate the "primary gross intake rate". | age specific fertility distribution[childbearing age, area]= AGE SPECIFIC FERTILITY DISTRIBUTION TABLE (fertile age [childbearing age, area]) ~ 1/Year ~ | AGE SPECIFIC FERTILITY DISTRIBUTION TABLE( [(0,0)-(50,0.1)],(15,0),(17,0.0055),(22,0.053),(27,0.0623),(32,0.0496),(37,0.0292),(\ 42,0.019),(47,0.001),(50,0)) ~ Dmnl/Year ~ This table represents the fertility distribution by age. it is assumed to be \ constant and it is used to calculate the flow of births. Based on p.29 of FIVFIV.\!\!\! | EFFECT of ADULT LITERACY fertility rate FUNCTION 0( [(0,0.8)-(0.8,1.2)],(0,1.1),(0.0122324,1.06316),(0.0342508,1.04035),(0.0978593,1.0193\ ),(0.198165,1.01754),(0.481957,1.00702),(0.795107,0.985965)) ~ Dmnl ~ | male female entrance rate difference= 0.16 ~ Dmnl/Year ~ This constant represents the average difference between male and female \ gross intake rate in primary school. It has been estimated based on \ observed enrollment rate (edustat, World Bank), and it is used to \ calculate the "indicated primary gross intake rate". | AGE SPECIFIC FERTILITY DISTRIBUTION TABLE 0( [(15,0)-(50,0.1)],(15,0),(16,0),(17,0.0144),(18,0.0144),(19,0.0144),(20,0.0551),(21,\ 0.0551),(22,0.0551),(23,0.0551),(24,0.0551),(25,0.0657),(26,0.0657),(27,0.0657),(28\ ,0.0657),(29,0.0657),(30,0.0496),(31,0.0496),(32,0.0496),(33,0.0496),(34,0.0496),(35\ ,0.0283),(36,0.0283),(37,0.0283),(38,0.0283),(39,0.0283),(40,0.0111),(41,0.0111),(42\ ,0.0111),(43,0.0111),(44,0.0111),(45,0.0011),(46,0.0011),(47,0.0011),(48,0.0011),(49\ ,0),(50,0)) ~ Dmnl/Year ~ This table represents the fertility distribution by age. it is assumed to be \ constant and it is used to calculate the flow of births. Based on p.29 of FIVFIV.\!\!\! | dropout probability[sex,area,grades]= initial dropout probability[sex,area]*DELAY3(effect of per primary student expenditure on dropout table\ (relative education expenditure per primary school age person[area])*effect of relative literacy rate on dropout\ (relative literacy rate[area]),3) ~ Dmnl/Year ~ This variable represents the yearly probability that a primary school students quits \ school before graduating. It is calculated as the initial dropout \ probability times the table function EFFECT OF PRIMARY STUDENT EXPENDITURE \ ON DROPOUT, using as input the relative per primary student expenditure. This variable is used to calculate the flow of dropout from priamry \ school, and the "dropout probability per grade". | primary dropout rate[sex,area]= SUM(primary dropouts[sex,area,grades!])/primary school age population[sex,area] ~ Dmnl/Year ~ ~ :SUPPLEMENTARY | average net enrollment rate[sex,area]= average gross enrollment rate[sex,area]-primary dropout rate[sex,area] ~ Dmnl ~ ~ :SUPPLEMENTARY | primary gross intake[sex,area]= primary gross intake rate[sex,area]*primary school age population[sex,area] ~ Person/Year ~ This variable represents the flow of children entering school every year. \ It is calculated by multiplying the age 7 population by the primary gross \ intake rate, and it accumulates in the stock of "primary students". | effect of adult literacy ON Proportion using conscious control[area]= DELAY3(EFFECT of LITERACY ON Proportion using conscious control function(average literacy rate\ [area]), 2) ~ Dmnl ~ | initial primary students[sex,area, grades]= initial primary gross intake rate[sex,area]*primary school age population[sex,area]/\ 5 ~ Person ~ This constant represents the initial female and male primary students \ disaggregated by gender and grade. This constant is estimated based on \ data from "50 Years of Pakistan in Statistics Vol II, pp 166 Table 5.03. \ It is used as initial value for the stock of "primary students". | EFFECT of LITERACY ON Proportion using conscious control function( [(0,0)-(1,7)],(0,0.05),(0.143731,0.153509),(0.244648,0.245614),(0.33945,0.460526),(0.461774\ ,1.10526),(0.565749,2.70175),(0.675841,4.78947),(0.740061,5.61842),(0.816514,5.98684\ ),(0.905199,6.20175),(0.990826,6.35526)) ~ Dmnl ~ | average gross enrollment rate[sex,area]= primary students enrollment[sex,area]/primary school age population[sex,area] ~ Dmnl ~ This variable represents the total enrolment in primary school, regardless of age \ and sex, expressed as a proportion of the eligible official school-age \ population corresponding to the same level of education in a given \ school-year. It is calculated as the ratio between the total primary \ students and all the primary school-age children. This variable is used to calculate target 3 of the Millennium Development \ Goals. ~ :SUPPLEMENTARY | pvt to pub[area]= estimated private education expenditure fraction[area] (Time)/(estimated private education expenditure fraction\ [area] (Time)+estimated federal and provincial primary education expenditure fraction\ [area] (Time)) ~ Dmnl ~ | crude birth rate= ((SUM(rural births[sex!])+SUM(urban births[sex!]))/total population)*1000 ~ Dmnl/Year ~ This represents the probability for adults of dying in per year. It is calculated as \ the total adult deaths over the total adult population. It is used to calculate the effect of death rates on labor productivity. | life expectancy[FEMALE,area]= normal life expectancy table (Medium Term Average Real Pc Income In Usd In Ppp[area]\ ) ~~| life expectancy[MALE,area]= life expectancy[FEMALE,area]-MFLE DIFFERENCE(Time) ~ Year ~ | rural urban migration rate[sex, age]= net total migrants rural*migrants sex distribution[sex]*emigrants' age group distribution\ [sex,age group]/5 ~ Person/Year ~ | estimated educational expenditure fraction= SUM(estimated regional education expenditure fraction[area!]) ~ Dmnl ~ ~ :SUPPLEMENTARY | crude death rate= ((SUM(rural deaths[sex!,rural,age!])+SUM(urban deaths[sex!,urban,age!]))/total population\ )*1000 ~ Dmnl/Year ~ This represents the probability for adults of dying in per year. It is calculated as \ the total adult deaths over the total adult population. It is used to calculate the effect of death rates on labor productivity. | "% female primary students"= (SUM(primary students enrollment[FEMALE,area!])/SUM(primary students enrollment[sex!\ ,area!]))*100 ~ Dmnl ~ | maximum gross intake rate[sex, rural]= ((primary school age population[sex,rural]-SUM(Primary Students[sex, rural, grades!]\ ))/primary school age population[sex,rural])/time to enroll students ~~| maximum gross intake rate[sex,urban]= ((primary school age population[sex,urban]-SUM(Primary Students[sex, urban, grades!]\ ))/primary school age population[sex,urban])/time to enroll students ~ Dmnl/Year ~ This variable represents the maximum possible gross intake rate. It is calculated as \ the total population in primary school age, minus the primary students, \ over the age 7 population, all divided by the time necessary to enroll the \ sutdents. It is assumed that students that drop school have to re-enter \ from the first grade. This variable is used to calculate the primary gross intake rate. | total fertility rate= total regional fertility rate[rural]*"% rural population"+total regional fertility rate\ [urban]*(1-"% rural population") ~ Dmnl ~ | contraceptive prevalence rate= proportion using conscious control[rural]*(SUM(sexually active female cohorts[AG CHILDBEARING\ !,rural])/SUM(sexually active female cohorts[AG CHILDBEARING!,area!])) + proportion using conscious control[urban]*(SUM(sexually active female cohorts[AG CHILDBEARING\ !,urban])/SUM(sexually active female cohorts[AG CHILDBEARING!,area!])) ~ Dmnl ~ | estimated private education expenditure[area]= estimated private education expenditure fraction[area](Time) ~ Dmnl ~ | normal life expectancy table( [(0,20)-(10000,80)],(100,44),(397.554,53),(764.526,60.7),(1223.24,67.2),(1804.28,72.3\ ),(2477.06,74.5),(3425.08,75.4),(5626.91,75.81),(10000,77)) ~ Year ~ This table function represents the relationship between income and life expectancy. \ It is based on p.15 of World Resources 1998-99: A guide to the global \ environment, and we assumed that beyond $20,000 per person per year, \ wealth is no longer a factor limiting life expectancy. This table function is sued to determine the normal life expectancy.\!\!\! | average life expectancy= (life expectancy[FEMALE,rural]*(SUM(Rural Population[FEMALE,rural,age!])/total population\ ) + life expectancy[MALE,rural]*(SUM(Rural Population[MALE,rural,age!])/total population\ ) +life expectancy[FEMALE,urban]*(SUM(urban Population[FEMALE,urban,age!])/total population\ ) +life expectancy[MALE,urban]*(SUM(urban Population[MALE,urban,age!])/total population\ )) ~ Year ~ | estimated regional education expenditure fraction[area]= estimated federal and provincial primary education expenditure fraction[area](Time)+\ estimated private education expenditure fraction[area](Time) ~ Dmnl ~ | effect of relative literacy rate on primary gross intake rate( [(1,0)-(5,10)],(1,1),(1.34251,1.22807),(1.67278,1.97368),(2.06422,4.21053),(2.46789,\ 6.62281),(2.94495,7.98246),(3.6055,8.64035),(5,8.90351)) ~ Dmnl ~ | population age 10 and above[sex,rural]= SUM(Rural Population[sex,rural,age!]) - (Rural Population[sex,rural,new born]+Rural Population[sex,rural,AGE 0]+Rural Population\ [sex,rural,AGE 1]+Rural Population[sex,rural,AGE 2]+Rural Population[sex,rural,AGE 3\ ]+Rural Population[sex,rural,AGE 4]+Rural Population[sex,rural,AGE 5]+Rural Population\ [sex,rural,AGE 6]+Rural Population[sex,rural,AGE 7]+Rural Population[sex,rural,AGE 8\ ]+Rural Population[sex,rural,AGE 9]) ~~| population age 10 and above[sex,urban]= SUM(urban Population[sex,urban,age!]) - (urban Population[sex,urban,new born] +urban Population[sex,urban,AGE 0]+urban Population\ [sex,urban,AGE 1]+urban Population[sex,urban,AGE 2]+urban Population[sex,urban,AGE 3\ ]+urban Population[sex,urban,AGE 4]+urban Population[sex,urban,AGE 5]+urban Population\ [sex,urban,AGE 6]+urban Population[sex,urban,AGE 7]+urban Population[sex,urban,AGE 8\ ]+urban Population[sex,urban,AGE 9]) ~ Person ~ The literacy rate is defined as This variable is calculated to | gender based literacy rate[sex,rural]= literate population[sex,rural]/population age 10 and above[sex,rural] ~~| gender based literacy rate[sex,urban]= literate population[sex,urban]/population age 10 and above[sex,urban] ~ Dmnl ~ | average literacy rate[rural]= gender based literacy rate[FEMALE,rural]*(SUM(Rural Population[FEMALE, rural, age!])\ /total rural population) + gender based literacy rate[MALE,rural]*(SUM(Rural Population[MALE, rural, age!])/total rural population\ ) ~~| average literacy rate[urban]= gender based literacy rate[FEMALE,urban]*(SUM(urban Population[FEMALE, urban, age!])\ /total urban population) +gender based literacy rate[MALE,urban]*(SUM(urban Population[MALE, urban, age!])/total urban population\ ) ~ Dmnl ~ | initial literate population[sex, rural]= INITIAL( initial literacy rate[sex,rural]*population age 10 and above[sex,rural]) ~~| initial literate population[sex, urban]= INITIAL( initial literacy rate[sex,urban]*population age 10 and above[sex,urban]) ~ Person ~ | effect of expenditure per primary school age person on primary gross intake rate table\ ( [(1,0)-(3,4)],(1,0.55),(1.19572,0.719298),(1.37309,0.982456),(1.50765,1.45614),(1.7156\ ,2.524),(1.83792,3.03509),(1.99694,3.36842),(2.21101,3.5614),(2.54128,3.7193),(2.98777\ ,3.82456)) ~ Dmnl ~ This table function represents the relationship between education expenditure and \ gross intake rate, and it has been estimated based on historical data for \ intake rate and education expenditure, assuming that the per capita level \ of education expenditure is the main element affecting school intake. This table function is used to calculate the "indicated primary gross \ intake rate".\!\!\! | estimated private education expenditure fraction[rural]( [(1980,0)-(2015,0.01)],(1980,0),(1984.6,0),(1989.85,0.0005),(1994.56,0.0008),(2000,0.00085\ ),(2005,0.0009),(2009.65,0.00095),(2015,0.001)) ~~| estimated private education expenditure fraction[urban]( [(1980,0)-(2015,0.02)],(1980,5e-005),(1984.82,0.0001),(1990.06,0.002),(1994.66,0.004\ ),(1999.91,0.012),(2003.98,0.015),(2009.65,0.017),(2014.89,0.019)) ~ Dmnl ~ It is estimated based Pakistan Statistical Year Book (Various Issues) and from \ www.Pakistan.gov.pk. The figure for 2015 is estimated by extrapolating.\!\!\! | literate population [sex, area]= INTEG ( new literates[sex,area] -literate deaths[sex, area] - literate population emigration rate\ [sex,area], initial literate population[sex,area]) ~ Person ~ This variable represents the stock of people, disaggregated by gender and age, that \ can both read and write with understanding a short simple statement on \ his/her everyday life. It is assumed in T21 that people who graduate from \ primary school or adult education programs are literate. This stock \ integrates the flow of primary graduation age (which accumulates in the \ primary graduation age cohort only), the flow of net literate migration, \ and the negative flow of "literate deaths". This variable is used to calculate the "adult literate population", the \ flow of "literate deaths", and the "literate youth". | total regional fertility rate[area]= (CONSCIOUSLY CONTROLLED FERTILITY RATE[area]*proportion using conscious control[area\ ]+UNCONSCIOUSLY CONTROLLED FERTILITY RATE[area]) *(1-proportion using conscious control[area]) ~ Dmnl ~ | new literates[sex,area]= ((Primary Students[sex,area,grade 4]+Primary Students[sex,area,grade 5])/Unit Year) + primary graduation[sex,area] ~ Person/Year ~ | relative pc gdp in ppp[area]= pc GDP in ppp[area](Time)/initial pc gdp in ppp[area] ~ Dmnl ~ | expenditure per primary school age person[area]= perceived education expenditure[area]/SUM(primary school age population[sex!,area]) ~ $/(Year*Person) ~ This variable represents the amount of perceived education expenditure per \ student in primary school. It is calculated as the ratio between the \ perceived education expenditure and the total primary students, and it is \ used to calculate the "relative per primary student expenditure". | CONSCIOUSLY CONTROLLED FERTILITY RATE[area]= initial desired number of children per woman[area]*effect of adult literacy fertility rate\ [area]*effect of economic condition on fertility rate[area] ~ Dmnl ~ | primary school age population[sex, rural]= SUM(Rural Population[sex,rural,primary school age!]) ~~| primary school age population[sex,urban]= SUM(urban Population[sex,urban,primary school age!]) ~ Person ~ | Unit Year= 1 ~ Year ~ | "% rural population"= total rural population/(total rural population+total urban population) ~ Dmnl ~ | adult age : (AGE 15-AGE 79), AGE 80 AND OVER ~ ~ | AG CHILDBEARING : (AGE 15-AGE 49) ~ ~ Childbearing age groups. | age : new born,(AGE 0-AGE 79),AGE 80 AND OVER ~ ~ Age categories. | AGE 1 to 4 : (AGE 1-AGE 4) ~ ~ | AGE 10 to 14 : (AGE 10-AGE 14) ~ ~ | AGE 15 to 19 : (AGE 15-AGE 19) ~ ~ | age 15 to age 24: AGE 15, AGE 16, AGE 17, AGE 18, AGE 19, AGE 20, AGE 21, AGE 22, AGE 23, AGE 24 ~ ~ | AGE 20 to 24 : (AGE 20-AGE 24) ~ ~ | AGE 25 to 29 : (AGE 25-AGE 29) ~ ~ | AGE 30 to 34 : (AGE 30-AGE 34) ~ ~ | AGE 35 to 39 : (AGE 35-AGE 39) ~ ~ | AGE 40 to 44 : (AGE 40-AGE 44) ~ ~ | AGE 45 to 49 : (AGE 45-AGE 49) ~ ~ | AGE 5 to 9 : (AGE 5-AGE 9) ~ ~ | AGE 50 to 54 : (AGE 50-AGE 54) ~ ~ | AGE 55 to 59 : (AGE 55-AGE 59) ~ ~ | AGE 60 to 64 : (AGE 60-AGE 64) ~ ~ | AGE 65 to 69 : (AGE 65-AGE 69) ~ ~ | AGE 70 to 74 : (AGE 70-AGE 74) ~ ~ | AGE 75 to 79 : (AGE 75-AGE 79) ~ ~ | age group : AG UNDER 1,AG 1 TO 4,AG 5 to 9,AG 10 to 14,AG 15 TO 19,AG 20 to 24,AG 25 to 29\ , AG 30 to 34,AG 35 to 39,AG 40 to 44,AG 45 to 49,AG 50 to 54,AG 55 to 59,AG 60 to 64\ , AG 65 TO 69,AG 70 TO 74,AG 75 TO 79,AG 80 AND OVER -> (age : AGE 0,AGE 1 to 4,AGE 5 to 9,AGE 10 to 14,AGE 15 to 19,AGE 20 to 24,AGE 25 to 29\ , AGE 30 to 34,AGE 35 to 39,AGE 40 to 44,AGE 45 to 49,AGE 50 to 54,AGE 55 to 59,AGE 60 to 64\ , AGE 65 to 69,AGE 70 to 74,AGE 75 to 79,AGE 80 AND OVER) ~ ~ Age groups - these will be used to aggregate and disaggregate the interactions between population and other activities. | Age Over 0: (AGE 0- AGE 79), AGE 80 AND OVER ~ ~ | birth rate[sex,area]= proportion of babies per sex[sex]* SUM(sexually active female cohorts[childbearing age!, area]* age specific fertility distribution[childbearing age!, area]* total regional fertility rate[area]) ~ Person/Year ~ | childbearing age: (AGE 15- AGE 49) ~ ~ | death rate[sex, urban]= SUM(urban deaths[sex,urban,age!])/SUM(urban Population[sex,urban,age!]) ~~| death rate[sex, rural]= SUM(rural deaths[sex,rural,age!])/SUM(Rural Population[sex,rural,age!]) ~ Dmnl/Year ~ | effect of adult literacy fertility rate[area]= DELAY3(EFFECT of ADULT LITERACY fertility rate FUNCTION(average literacy rate[area])\ ,5) ~ Dmnl ~ | EFFECT of ADULT LITERACY fertility rate FUNCTION( [(0,0.8)-(0.8,1.2)],(0,1.1),(0.0110092,1.05789),(0.0256881,1.02281),(0.0513761,0.989474\ ),(0.102752,0.968421),(0.19633,0.957895),(0.795107,0.948684)) ~ Dmnl ~ | effect of economic condition on fertility rate[area]= EFFECT of ECONOMIC CONDITIONs on fertility rate FUNCTION(relative pc gdp in ppp[area\ ]) ~ Dmnl ~ | EFFECT of ECONOMIC CONDITIONs on fertility rate FUNCTION( [(1,0.8)-(6,1)],(1,1),(1.1682,0.963158),(1.51988,0.921053),(1.91743,0.9),(2.66667,0.883333\ ),(3.50765,0.876316),(4.73089,0.867544),(5.98471,0.859649)) ~ Dmnl ~ Based on TFR.xls\!\!\! | effect of per primary student expenditure on dropout table( [(1,0.6)-(5,1.2)],(1,1),(1.72171,0.842105),(2.46789,0.731579),(3.38532,0.676316),(4.98777\ ,0.642105)) ~ Dmnl ~ This table function represents the relationship between the education expenditure \ per primary student and the dropout probability. It has beed estimated \ based on historical data on education expenditure and enrollment rate, \ assuming that education expenditure is the main factor affecting the \ dropout probability. This table function is used to calculate the "dropout probability".\!\!\! | effect of relative literacy rate on dropout( [(1,0)-(5,1.2)],(1,1),(1.5,0.9),(2.00306,0.81579),(3,0.75),(4.98777,0.694737)) ~ Dmnl ~ | emigrants' age group distribution[FEMALE,age group]= 0,0, 0.03, 0.03, 0.27, 0.3, 0.2, 0.03, 0.03, 0.03, 0.02, 0.02, 0.02, 0.02, 0,0,0,0 ~~| emigrants' age group distribution[MALE, age group]= 0,0, 0.03, 0.03, 0.27, 0.3, 0.2, 0.03, 0.03, 0.03, 0.02, 0.02, 0.02, 0.02, 0,0,0,0 ~ Dmnl ~ Data from the PDE paper: estimated on the period 1970-1990 | emigrants' sex distribution[sex]= 0.4,0.6 ~ Dmnl ~ measures how emigration is distributed with respect to sex no data available, estimated on the base of the PDE report | emigration rate[sex]= SUM(net emigration rate[sex,age!])/total population ~ 1/Year ~ | fertile age[childbearing age, urban]= 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, \ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ~~| fertile age[childbearing age, rural]= 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, \ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ~ Dmnl ~ | gdp deflator table( [(1980,1)-(2015,20)],(1980,1),(1981,1.1),(1982,1.2),(1983,1.26),(1984,1.38),(1985,1.45\ ),(1986,1.49),(1987,1.56),(1988,1.71),(1989,1.87),(1990,1.99),(1991,2.24),(1992,2.47\ ),(1993,2.68),(1994,3.03),(1995,3.45),(1996,3.74),(1997,4.24),(1998,4.56),(1999,4.82\ ),(2000,4.96),(2001,5.24),(2015,6.92)) ~ Dmnl ~ This time table represents the time profile of the deflator of the Gross \ Domestic Product (GDP) until 2002. It is estimated based on the IMF data, \ and it is used to calculate the GDP deflator before 2002.\!\!\! | gdp in PPP( [(1980,0)-(2015,6e+011)],(1980,5.463e+010),(1985,8.9092e+010),(1990,1.4715e+011),(1995\ ,2.032e+011),(2000,2.58e+011),(2015,4.64e+011)) ~ $/Year ~ | grades: (grade 1-grade 5) ~ ~ Assume primary school has six grades | infant: AG UNDER 1 ~ ~ | initial average literacy rate[area]= INITIAL( average literacy rate[area]) ~ Dmnl ~ | initial desired number of children per woman[area]= 6.4, 5.3 ~ Dmnl ~ This constant represents the initial desired number of children per woman. It is \ calculated based on historical data series on births, and it is used to \ determine the desired number of children per woman. The figure is taken from UN Population Data on Total Fertility. | initial dropout probability[sex, rural]= 0.52, 0.42 ~~| initial dropout probability[sex,urban]= 0.4, 0.25 ~ Dmnl/Year ~ This constant represents the initial (1990) yearly probability that a \ primary school students quits school before graduating. It has been \ estimated based on data from edustat (World Bank) on the perrsistence \ rate. This constant is used to calculate the dropout probability. | initial literacy rate[sex, rural]= 0.073, 0.262 ~~| initial literacy rate[sex, urban]= 0.372, 0.553 ~ Dmnl ~ | initial medium term average pc income in usd ppp[area]= 280, 1050 ~ $/(Year*Person) ~ This constant represents the initial level of the perceived per capita income at \ constant prices in US Dollars in Purchasing Power Parity. In this case, it \ is assumed to be lower that the initial "real pc income usd in ppp", \ implying that we assume there was a growing trend for this variable in the \ last years before the initial time of the simulation. It is used to determine the "medium term average real pc income in usd in \ ppp". | initial pc gdp in ppp[area]= INITIAL( pc GDP in ppp[area](Time)) ~ $/(Year*Person) ~ | initial education expenditure per primary school age person[area]= INITIAL( expenditure per primary school age person[area]) ~ $/(Year*Person) ~ This variable represents the initial amount (1990) of perceived education \ expenditure per student in primary school, and it is used to calculate the \ "relative per primary student expenditure". | initial perceived education expenditure[area]= INITIAL( real education expenditure[area]) ~ $/Year ~ | initial primary gross intake rate[sex, rural]= 0.13, 0.5 ~~| initial primary gross intake rate[sex, urban]= 0.35, 0.75 ~ Dmnl/Year ~ | INITIAL PROPORTION USING CONSCIOUS CONTROL[area]= 0.05,0.17 ~ Dmnl ~ This gives the proportion of women using population control methods. Data needed. | INITial rural POPULATION[FEMALE, age]= 0, 1.03019e+006, 991982, 953770, 915558, 877346, 806898, 784804, 762711, 740617, 718524, 686463, 669353, 652243, 635133, 618023, 597979, 582336, 566694, 551051, 535408, 518745, 503613, 488481, 473348, 458216, 443347, 428083, 412820, 397556, 382292, 351861, 344181, 336501, 328820, 321140, 311096, 304597, 298099, 291601, 285103, 280097, 272853, 265609, 258364, 251120, 238253, 233820, 229388, 224955, 220522, 229582, 218403, 207224, 196045, 184865, 166355, 158841, 151328, 143815, 136302, 126492, 120127, 113762, 107397, 101032, 93761, 87849, 81936, 76024, 70112, 62690, 57532, 52375, 47218, 42060, 37223, 31906, 26588, 21271, 15953, 98384 ~~| INITial rural POPULATION[MALE, age]= 0, 1.08407e+006, 1.04527e+006, 1.00647e+006, 967666, 928865, 858093, 835277, 812460, 789644, 766827, 733408, 715893, 698377, 680862, 663346, 642498, 626649, 610799, 594950, 579101, 562457, 547005, 531553, 516100, 500648, 490374, 472333, 454291, 436250, 418209, 386433, 375259, 364085, 352911, 341737, 320374, 314294, 308215, 302135, 296055, 291717, 284767, 277816, 270866, 263916, 257767, 250416, 243065, 235714, 228363, 224072, 215191, 206309, 197428, 188546, 176140, 169021, 161902, 154783, 147663, 139542, 132924, 126306, 119687, 113069, 106725, 99970, 93215, 86460, 79705, 70372, 64906, 59439, 53973, 48507, 44951, 38529, 32108, 25686, 19265, 134133 ~ Person ~ | INITial urban POPULATION[FEMALE, age]= 0, 400631, 385771, 370910, 356050, 341190, 313794, 305202, 296610, 288018, 279426, 266958, 260304, 253650, 246996, 240342, 232547, 226464, 220381, 214298, 208214, 201734, 195849, 189965, 184080, 178195, 172413, 166477, 160541, 154605, 148669, 136835, 133848, 130861, 127875, 124888, 120982, 118455, 115928, 113400, 110873, 108927, 106109, 103292, 100475, 97658, 92654, 90930, 89206, 87482, 85759, 89282, 84934, 80587, 76240, 71892, 64693, 61772, 58850, 55928, 53006, 49191, 46716, 44241, 41765, 39290, 36463, 34163, 31864, 29565, 27266, 24379, 22374, 20368, 18362, 16357, 14476, 12408, 10340, 8272, 6204, 38261 ~~| INITial urban POPULATION[MALE, age]= 0, 421583, 406494, 391404, 376315, 361225, 333703, 324830, 315957, 307084, 298210, 285214, 278403, 271591, 264780, 257968, 249860, 243697, 237533, 231369, 225206, 218733, 212724, 206715, 200706, 194696, 190701, 183685, 176669, 169653, 162637, 150280, 145934, 141589, 137243, 132898, 124590, 122226, 119861, 117497, 115133, 113445, 110743, 108040, 105337, 102634, 100243, 97384, 94525, 91666, 88808, 87139, 83685, 80231, 76777, 73324, 68499, 65730, 62962, 60193, 57425, 54266, 51693, 49119, 46545, 43971, 41504, 38877, 36250, 33623, 30996, 27367, 25241, 23115, 20990, 18864, 17481, 14984, 12486, 9989, 7492, 52163 ~ Person ~ | lit pop[area]= SUM(literate population[sex!,area]) ~ Person ~ ~ :SUPPLEMENTARY | literate deaths[sex, area]= literate population[sex, area]*death rate[sex,area] ~ Person/Year ~ This variable represents the flow of deaths occurring among literate people. \ Literate people are assumed to have the same life expectancy as illiterate \ people. This flow is calculated by multiplying the stock of literate \ population by the DEATH RATES TABLE, using as input the life expectancy. This flow drains from the stock of "literate population". | literate population emigration rate[sex,area]= literate population[sex,area]*SUM(emigration rate[sex!])/2 ~ Person/Year ~ | mature age : (AGE 20-AGE 79), AGE 80 AND OVER ~ ~ | Medium Term Average Real Pc Income In Usd In Ppp[area]= DELAY N(pc GDP in ppp [area](Time), time for income changes to affect life expectancy\ , initial medium term average pc income in usd ppp[area] , 1) ~ $/(Year*Person) ~ | MFLE DIFFERENCE( [(1980,0)-(2015,10)],(1980,1),(1990,1),(2000,2),(2015,3)) ~ Year ~ This is the average difference of life expectancy between female and male\!\! only two data points from WDI00\! | migrants age distribution[sex, new born]= 0 ~~| migrants age distribution[sex, AGE 0]= 0 ~~| migrants age distribution[sex,AGE 1 to 4]= 0.03 ~~| migrants age distribution[sex,AGE 5 to 9]= 0.03 ~~| migrants age distribution[sex,AGE 10 to 14]= 0.27 ~~| migrants age distribution[sex,AGE 15 to 19]= 0.3 ~~| migrants age distribution[sex,AGE 20 to 24]= 0.2 ~~| migrants age distribution[sex,AGE 25 to 29]= 0.03 ~~| migrants age distribution[sex,AGE 30 to 34]= 0.03 ~~| migrants age distribution[sex,AGE 35 to 39]= 0.03 ~~| migrants age distribution[sex,AGE 40 to 44]= 0.02 ~~| migrants age distribution[sex,AGE 45 to 49]= 0.02 ~~| migrants age distribution[sex,AGE 50 to 54]= 0.02 ~~| migrants age distribution[sex,AGE 55 to 59]= 0.02 ~~| migrants age distribution[sex,AGE 60 to 64]= 0 ~~| migrants age distribution[sex,AGE 65 to 69]= 0 ~~| migrants age distribution[sex,AGE 70 to 74]= 0 ~~| migrants age distribution[sex,AGE 75 to 79]= 0 ~~| migrants age distribution[sex,AGE 80 AND OVER]= 0 ~ Dmnl ~ | migrants sex distribution[sex]= 0.4, 0.6 ~ Dmnl ~ | net emigration rate[sex,age]= net total emigrants*emigrants' sex distribution[sex]*emigrants' age group distribution\ [sex,age group]/5 ~ Person/Year ~ the final value is divided by 5 because there are 5 age cohorts in each \ age group. Note that this is not true for the first two age groups and the \ last one, but their values are 0, therefore there's no problem. If we set \ different values for these groups we have to change the equation. | NET MIGRATION PER 1000 HABITANTS FUNCTION( [(1980,-6)-(2015,6)],(1980,0.69),(1985,4.05),(1990,1.4),(1995,-4.12),(2000,-0.7),(2005\ ,-2),(2010,-1.65),(2015,-0.68)) ~ Dmnl/Year ~ This variable represents the net migration per 1000 habitants. It is exagenously \ calculated and it is used to determine the net total migration. The data (estimated as well as projected) is taken from World Population \ Prospects: The 2002 Revision\!\! | net total emigrants= (SUM(urban Population[sex!, urban, age!])/1000)* NET MIGRATION PER 1000 HABITANTS FUNCTION(Time) ~ Person/Year ~ | net total migrants rural= (total rural population/1000)*"reference net migration rate table-rural"(Time) ~ Person/Year ~ | non primary graduation age: new born, (AGE 0- AGE 11), (AGE 13- AGE 79), AGE 80 AND OVER ~ ~ | over 12: (AGE 13 - AGE 79), AGE 80 AND OVER ~ ~ | over five: AG 5 to 9, AG 10 to 14, AG 15 TO 19,AG 20 to 24,AG 25 to 29, AG 30 to 34,AG 35 to 39,AG 40 to 44,AG 45 to 49,AG 50 to 54,AG 55 to 59,AG 60 to 64\ , AG 65 TO 69,AG 70 TO 74,AG 75 TO 79,AG 80 AND OVER ~ ~ | pc GDP in ppp[rural]( [(1980,0)-(2015,6000)],(1980,409),(1981,446),(1982,471),(1983,467),(1984,502),(1985,\ 554),(1986,608),(1987,678),(1988,767),(1989,773),(1990,799),(1991,847),(1992,864),(\ 1993,879),(1994,928),(1995,998),(1996,1032),(1997,1025),(1998,1029),(1999,1070),(2000\ ,1110),(2001,1103),(2015,1500)) ~~| pc GDP in ppp[urban]( [(1980,0)-(2015,20000)],(1980,1304),(1981,1460),(1982,1501),(1983,1614),(1984,1702),\ (1985,1885),(1986,2015),(1987,2318),(1988,2577),(1989,2631),(1990,2608),(1991,2727)\ ,(1992,2948),(1993,2979),(1994,2966),(1995,3067),(1996,3214),(1997,3166),(1998,3093\ ),(1999,3160),(2000,3413),(2001,3489),(2015,4500)) ~ $/(Year*Person) ~ | perceived education expenditure[area]= INTEG ( perceived education expenditure adjustment[area], initial perceived education expenditure[area]) ~ $/Year ~ This stock represents the level of expenditure in the education sector \ that is perceived by the sector's clients, in term of the level of \ services they receive. It integrates the net flow of perceived education \ expenditure adjustment, and it is used to calculate the expenditure per \ student and shool age population for both primary and secondary school. | perceived education expenditure adjustment[area]= (real education expenditure[area]-perceived education expenditure[area])/perceived education expenditure adjustment time ~ $/(Year*Year) ~ This flow represents the net change in the perceived education expenditure, and it \ is calculated as the difference between the real education expenditure and \ the perceived education expenditure, divided by the perceived education \ expenditure adjustment time. This flow accumulates in the stock of perceived education expenditure. | perceived education expenditure adjustment time= 3 ~ Year ~ This constant represents the time it takes for change in the real education \ expenditure to affect the level of service in the education sector. It is \ estimated based on the historical data for intake rate and education \ expenditure, assuming that the per capita level of education expenditure \ is the main element affecting school intake. This constant is used to calculate the adjustment in the perceived \ education expenditure. | primary dropouts[sex,area,grades]= Primary Students[sex,area,grades]*dropout probability[sex,area,grades] ~ Person/Year ~ | primary graduation[sex,area]= Primary Students[sex,area,grade 5]/TIME FOR ONE GRADE[area] ~ Person/Year ~ This variable represents the flow of students that graduate from primary school. It \ is calculated as the grade 6 students divided by the average time \ necessary to complete one grade. This flow drains from the stock of "primary students" and accumulates in \ the stock of "literate population". | primary graduation age: AGE 11 ~ ~ | primary gross intake rate[sex,area]= min(maximum gross intake rate[sex,area],indicated primary gross intake rate[sex,area\ ]) ~ Dmnl/Year ~ This variable represents total number of new entrants in the first grade \ of primary education, regardless of age, expressed as a percentage of the \ population at the official primary school-entrance age. It is calculated \ as the minimum between the indicated primary gross intake rate and the \ maximum gross intake rate. This variable is used to calculate the "primary \ gross intake" flow. | primary school age: (AGE 6 - AGE 10) ~ ~ | primary student crude death rate [sex,rural]= SUM(rural deaths[sex, rural, primary school age!])/SUM(Rural Population[sex, rural, \ primary school age!]) ~~| primary student crude death rate[sex,urban]= SUM(urban deaths[sex, urban, primary school age!])/SUM(urban Population[sex, urban, \ primary school age!]) ~ Dmnl/Year ~ This represents the probability for primary students of dying per year. It is \ calculated as the total primary school age deaths over the total primary \ school age population. It is used to calculate the death rate of primary students. | Primary Students[sex,area, grade 1]= INTEG ( primary gross intake[sex,area] - primary students deaths[sex,area, grade 1] - primary dropouts\ [sex,area,grade 1] - Primary Students [sex,area, grade 1]/TIME FOR ONE GRADE[area], initial primary students[sex, area, grade 1]) ~~| Primary Students[sex, area, grade 2]= INTEG ( Primary Students[sex,area,grade 1]/TIME FOR ONE GRADE[area]- primary students deaths [sex,area,grade 2] - primary dropouts[sex,area,grade 2] - Primary Students[sex,area,grade 2]/TIME FOR ONE GRADE[area], initial primary students[sex, area,grade 2]) ~~| Primary Students[sex,area,grade 3]= INTEG ( Primary Students[sex,area,grade 2]/TIME FOR ONE GRADE[area]- primary students deaths [sex,area,grade 3] - primary dropouts[sex,area,grade 3] - Primary Students[sex,area,grade 3]/TIME FOR ONE GRADE[area], initial primary students[sex, area,grade 3]) ~~| Primary Students[sex,area,grade 4]= INTEG ( Primary Students[sex,area,grade 3]/TIME FOR ONE GRADE[area]- primary students deaths [sex,area,grade 4] - primary dropouts[sex,area,grade 4] - Primary Students[sex,area,grade 4]/TIME FOR ONE GRADE[area], initial primary students[sex, area,grade 4]) ~~| Primary Students[sex,area,grade 5]= INTEG ( Primary Students[sex,area,grade 4]/TIME FOR ONE GRADE[area]- primary students deaths [sex,area,grade 5] - primary dropouts[sex,area,grade 5] - primary graduation[sex, area\ ], initial primary students[sex, area, grade 5]) ~ Person ~ This variable represents the stock of primary students, disaggregated by gender and \ by grade. The first grade is the only grade that accumulates the inflow of \ "primary gross intake", while all the grades integrates the negative flow \ of dropout and deaths. All the grades also receive a flow of students \ graduating from the previous grade (except the first grade) and lose a \ flow of students graduating to the following grade (except for the last \ grade, when graduating students exit the primary school). This stock is used to calculate the dropout and deaths rate, and the \ graduation rate, as well as the "primary students enrollment". | primary students deaths[sex,area,grades]= Primary Students[sex,area,grades]*primary student crude death rate[sex,area] ~ Person/Year ~ This variable represents the flow of students that each year die or \ abandon school before graduating. It is calculated as the stock of \ "primary students" times the dropout fraction plus the primary student \ crude death rate, and it drains from the stock of "primary students". | primary students enrollment[sex,area]= SUM(Primary Students[sex,area, grades!]) ~ Person ~ This variable represents the primary students disaggregated by gender. This variable \ is obtained by summing together the students that are disaggregated by \ grade in the "primary students" stock. This variable is used to calculate the gross enrollment rate, the average \ gross enrollment rate and the ratio girls to boys in primary school. | proportion of babies per sex[FEMALE]= 0.4878 ~~| proportion of babies per sex[MALE]= 1-proportion of babies per sex[FEMALE] ~ Dmnl ~ This variable represents the fraction of births that are male or female with respect \ to the total. It is assumed to be constant, and used to calculate the flow \ of births per gender. UN Population Data on Sex Ratio at Birth. | proportion using conscious control[area]= INITIAL PROPORTION USING CONSCIOUS CONTROL[area]* effect of adult literacy ON Proportion using conscious control [area] ~ Dmnl ~ | estimated federal and provincial primary education expenditure fraction[rural]( [(1980,0)-(2015,0.01)],(1980,0.00204),(1985,0.00306),(1990,0.00306),(1995,0.00306),(\ 2000,0.00204),(2005,0.002907),(2010,0.002907),(2015,0.002907)) ~~| estimated federal and provincial primary education expenditure fraction[urban]( [(1980,0)-(2015,0.01)],(1980,0.00476),(1985,0.00714),(1990,0.00714),(1995,0.00714),(\ 1999.69,0.00476),(2005,0.006783),(2010,0.006783),(2015,0.006783)) ~ Dmnl ~ It is estimated based Pakistan Statistical Year Book (Various Issues) and from \ www.Pakistan.gov.pk. It includes expenditures made by the federal \ government and all provincial governments on education. The figure for 2005, 2010 and 2015 is estimated by extrapolating.\!\!\! | "reference net migration rate table-rural"( [(1980,2)-(2015,6)],(1980,3.7),(1985,4.85),(2014.79,6)) ~ 1/Year ~ | area: rural, urban ~ ~ | relative literacy rate[area]= average literacy rate [area] / initial average literacy rate [area] ~ Dmnl ~ | relative education expenditure per primary school age person[area]= expenditure per primary school age person[area]/initial education expenditure per primary school age person\ [area] ~ Dmnl ~ This variable represents the relative amount of perceived education \ expenditure per student in primary school, with respect to the intial \ amount. It is calculated as the ratio between the current and the initial \ values, and it is used to calculate the "dropout probability". | rural births[sex]= birth rate[sex,rural] ~ Person/Year ~ | rural deaths[sex, rural, age]= Rural Population[sex,rural, age]* life table death rates[sex, rural, age group] ~ Person/Year ~ fraction year past * deaths[sex,UNDER 1] | Rural Population[sex, rural, new born]= INTEG ( +rural births[sex], INITial rural POPULATION[sex, new born\ ]) ~~| Rural Population[sex, rural, Age Over 0]= INTEG ( -rural urban migration rate[sex,Age Over 0]-rural deaths[sex,rural, Age Over 0], INITial rural POPULATION[sex,Age Over 0]) ~ Person ~ Population broken down into one year cohorts. Note that the cohorts are \ shifted annually to prevent dispersion of population trends.This is why \ there is no inflow to anything other than the first cohort. | rural population cohort shift[sex]= SHIFT IF TRUE(Rural Population[sex,rural, new born] , MODULO(Time,1) < TIME STEP/2,\ AGE 80 AND OVER,1,0) ~ Person ~ ~ :SUPPLEMENTARY | sex : FEMALE,MALE ~ ~ Some population variables are broken down by sex. | sexually active female cohorts[childbearing age, rural]= Rural Population[FEMALE, rural, childbearing age] ~~| sexually active female cohorts[childbearing age, urban]= urban Population[FEMALE,urban,childbearing age] ~ Person ~ | Susceptible: (AGE 15- AGE 49) ~ ~ | time for income changes to affect life expectancy= 15 ~ Year ~ This variable represents the average time for changes in income level to affect life \ expectancy. It is estimated based on observed trends in life expectancy \ and income, assuming that income, nutrition, water availability, pollution \ and health care are the major elements affecting life expectancy. This variable is used to determine the "medium term average real pc income \ in usd in ppp". | TIME FOR ONE GRADE[area]= 1.5,1.15 ~ Year ~ This constant represents the average time required to complete one grade, \ and it is estimated based on the data from edustat (World Bank). It is \ used to calculate the transition from one grade to another in primary \ school. | time to enroll students= 1 ~ Year ~ This constant represents the time required to enroll students in school. | total initial population= SUM(INITial urban POPULATION[sex!,age!])+SUM(INITial rural POPULATION[sex!,age!]) ~ Person ~ ~ :SUPPLEMENTARY | total population= total rural population+total urban population ~ Person ~ | total rural population= SUM(Rural Population[sex!, rural, age!]) ~ Person ~ | total urban population= SUM(urban Population[sex!,urban, age!]) ~ Person ~ | UNCONSCIOUSLY CONTROLLED FERTILITY RATE[area]= 6.8,5.7 ~ Dmnl ~ This is historic average family size in rural/urban regions.\!\!\! | under 12: new born, (AGE 0 - AGE 12) ~ ~ | under 15: new born, (AGE 0 - AGE 14) ~ ~ | under five: AG 1 TO 4 ~ ~ | Unsusceptible: new born, (AGE 0 - AGE 14), (AGE 50 - AGE 79), AGE 80 AND OVER ~ ~ | urban births [sex]= birth rate[sex,urban] ~ Person/Year ~ | urban deaths[sex,urban, age]= urban Population[sex, urban, age]*life table death rates[sex, urban,age group] ~ Person/Year ~ fraction year past * deaths[sex,UNDER 1] | urban Population[sex, urban, new born]= INTEG ( +urban births[sex], INITial urban POPULATION[sex, new born\ ]) ~~| urban Population[sex, urban, Age Over 0]= INTEG ( -urban deaths[sex,urban,Age Over 0]-net emigration rate[sex,Age Over 0]+rural urban migration rate\ [sex,Age Over 0], INITial urban POPULATION[sex, Age Over 0]) ~ Person ~ Population broken down into one year cohorts. Note that the cohorts are \ shifted annually to prevent dispersion of population trends.This is why \ there is no inflow to anything other than the first cohort. | urban population cohort shift[sex]= SHIFT IF TRUE( urban Population[sex, urban, new born] , MODULO(Time,1) < TIME STEP/\ 2,AGE 80 AND OVER,1,0) ~ Person ~ ~ :SUPPLEMENTARY | ******************************************************** .Control ********************************************************~ Simulation Control Parameters | FINAL TIME = 2015 ~ Year ~ The final time for the simulation. | INITIAL TIME = 1980 ~ Year ~ The initial time for the simulation. | SAVEPER = 1 ~ Year [0,?] ~ The frequency with which output is stored. | TIME STEP = 0.125 ~ Year [0,?] ~ The time step for the simulation. | \\\---/// Sketch information - do not modify anything except names V300 Do not put anything below this section - it will be ignored *1. Population $192-192-192,0,Times New Roman|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,100 10,1,INITial urban POPULATION,766,456,90,9,0,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-255-0 12,2,48,643,277,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,3,total urban population,196,287,62,9,0,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||128-0-0 10,4,life table death rates,739,335,56,9,8,3,0,8,0,0,0,0,-1--1--1,0-0-0,|10||0-0-0 11,5,652,584,279,6,8,34,3,0,0,1,0,0,0 10,6,urban deaths,584,296,37,9,32,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||0-0-0 1,7,5,2,4,0,0,22,0,0,0,-1--1--1,,1|(611,279)| 11,8,1788,456,222,8,6,33,3,0,0,4,0,0,0 10,9,net emigration rate,516,222,52,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,10,emigrants' age group distribution,346,159,55,22,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,11,total initial population,895,397,31,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,12,1,11,1,0,0,0,0,64,0,-1--1--1,,1|(868,439)| 1,13,10,9,1,0,0,0,0,64,0,-1--1--1,,1|(436,176)| 10,14,emigrants' sex distribution,358,119,54,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,15,14,9,1,0,0,0,0,64,0,-1--1--1,,1|(446,144)| 10,16,net total emigrants,362,205,52,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,17,16,9,1,0,0,0,0,64,0,-1--1--1,,1|(428,197)| 10,18,urban population cohort shift,390,345,49,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,19,TIME STEP,1126,53,41,9,8,2,1,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,20,Time,1126,53,22,9,8,2,1,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,21,Time,992,320,22,9,8,2,1,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,22,21,18,0,1,0,0,0,0,0,-1--1--1,,1|(711,330)| 10,23,TIME STEP,992,320,41,9,8,2,1,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,24,23,18,0,1,0,0,0,0,0,-1--1--1,,1|(701,331)| 10,25,Time,1193,204,22,9,8,2,1,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,26,25,16,0,1,0,0,0,0,0,-1--1--1,,1|(799,204)| 10,27,INITial rural POPULATION,727,441,89,9,0,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-255-0 12,28,48,659,382,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 11,29,48,591,383,6,8,34,3,0,0,1,0,0,0 10,30,rural deaths,591,400,34,9,32,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||0-0-0 1,31,29,28,4,0,0,22,0,0,0,-1--1--1,,1|(623,383)| 10,32,rural population cohort shift,352,434,45,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,33,net total migrants rural,579,440,39,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,34,"reference net migration rate table-rural",552,525,57,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,35,34,33,1,0,0,0,0,0,0,-1--1--1,,1|(587,493)| 10,36,migrants sex distribution,490,445,49,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,37,migrants age distribution,530,474,50,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 11,38,4396,457,338,8,6,33,3,0,0,4,0,0,0 10,39,rural urban migration rate,504,338,39,15,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,40,33,39,1,0,0,0,0,0,0,-1--1--1,,1|(550,377)| 1,41,27,11,1,0,0,0,0,64,0,-1--1--1,,1|(847,434)| 1,42,4,30,1,0,0,0,0,64,0,-1--1--1,,1|(672,388)| 1,43,4,6,1,0,0,0,0,64,0,-1--1--1,,1|(674,293)| 10,44,total rural population,193,395,58,9,0,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||128-0-0 12,45,48,282,383,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,46,47,45,100,0,0,22,0,0,0,-1--1--1,,1|(324,383)| 11,47,48,362,383,6,8,34,3,0,0,1,0,0,0 10,48,rural births,362,400,31,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,49,birth rate,287,344,33,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,50,49,48,1,0,0,0,0,64,0,-1--1--1,,1|(307,370)| 12,51,48,271,277,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,52,53,51,100,0,0,22,0,0,0,-1--1--1,,1|(313,277)| 11,53,48,351,277,6,8,34,3,0,0,1,0,0,0 10,54,urban births,351,294,35,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,55,49,54,1,0,0,0,0,64,0,-1--1--1,,1|(307,320)| 10,56,urban Population,454,282,40,20,3,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,57,Rural Population,461,387,40,20,3,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,58,53,56,4,0,0,22,0,0,0,-1--1--1,,1|(385,277)| 1,59,5,56,100,0,0,22,0,0,0,-1--1--1,,1|(536,279)| 1,60,8,56,100,0,0,22,0,0,0,-1--1--1,,1|(456,245)| 1,61,38,57,100,0,0,22,0,0,0,-1--1--1,,1|(457,355)| 1,62,38,56,4,0,0,22,0,0,0,-1--1--1,,1|(457,317)| 1,63,29,57,100,0,0,22,0,0,0,-1--1--1,,1|(543,383)| 1,64,47,57,4,0,0,22,0,0,0,-1--1--1,,1|(394,383)| 1,65,56,3,1,0,0,0,0,0,0,-1--1--1,,1|(334,257)| 1,66,56,6,0,0,0,0,0,0,0,-1--1--1,,1|(513,288)| 1,67,56,16,1,0,0,0,0,0,0,-1--1--1,,1|(410,231)| 1,68,56,18,0,0,0,0,0,0,0,-1--1--1,,1|(424,311)| 1,69,57,30,1,0,0,0,0,0,0,-1--1--1,,1|(519,407)| 1,70,57,32,1,0,0,0,0,0,0,-1--1--1,,1|(422,423)| 1,71,57,44,1,0,0,0,0,0,0,-1--1--1,,1|(338,417)| 12,72,48,456,167,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,73,8,72,4,0,0,22,0,0,0,-1--1--1,,1|(456,195)| 10,74,NET MIGRATION PER 1000 HABITANTS FUNCTION,197,188,66,22,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-255-0 1,75,74,16,1,0,0,0,0,64,0,-1--1--1,,1|(275,186)| 10,76,MFLE DIFFERENCE,685,197,57,9,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,77,Medium Term Average Real Pc Income In Usd In Ppp,708,168,71,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,78,initial medium term average pc income in usd ppp,742,71,76,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,79,time for income changes to affect life expectancy,578,124,68,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,80,79,77,1,0,0,0,0,64,0,-1--1--1,,1|(660,121)| 10,81,pc GDP in ppp,617,94,43,9,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,82,81,77,1,0,0,0,0,64,0,-1--1--1,,1|(674,119)| 10,83,total rural population,800,397,35,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,84,total urban population,788,369,35,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,85,total population,875,349,45,9,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,86,84,85,1,0,0,0,0,64,0,-1--1--1,,1|(830,373)| 1,87,83,85,1,0,0,0,0,64,0,-1--1--1,,1|(846,384)| 10,88,average life expectancy,896,253,33,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,89,"% rural population",93,342,52,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,90,3,89,1,0,0,0,0,64,0,-1--1--1,,1|(142,303)| 1,91,44,89,1,0,0,0,0,64,0,-1--1--1,,1|(140,379)| 10,92,death rate,565,327,29,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,93,6,92,0,0,0,0,0,64,0,-1--1--1,,1|(578,305)| 1,94,56,92,1,0,0,0,0,64,0,-1--1--1,,1|(516,295)| 1,95,30,92,0,0,0,0,0,0,0,-1--1--1,,1|(580,370)| 1,96,57,92,1,0,0,0,0,0,0,-1--1--1,,1|(527,367)| 10,97,emigration rate,633,239,42,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,98,9,97,1,0,0,0,0,64,0,-1--1--1,,1|(582,213)| 10,99,total rural population,593,559,35,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,100,99,33,1,0,0,0,0,64,0,-1--1--1,,1|(617,497)| 10,101,TIME STEP,461,508,41,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,102,101,32,0,1,0,0,0,0,0,-1--1--1,,1|(416,477)| 10,103,Time,461,508,22,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,104,103,32,0,1,0,0,0,0,0,-1--1--1,,1|(416,477)| 10,105,Time,632,472,22,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,106,105,33,0,1,0,0,0,0,0,-1--1--1,,1|(616,462)| 10,107,Time,760,308,22,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,108,Time,703,178,22,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,109,108,77,0,1,0,0,0,0,0,-1--1--1,,1|(699,184)| 1,110,85,88,1,0,0,0,0,0,0,-1--1--1,,1|(907,308)| 10,111,total population,553,172,52,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,112,111,97,1,0,0,0,0,64,0,-1--1--1,,1|(596,196)| 10,113,urban Population,856,329,56,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,114,Rural Population,831,311,54,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,115,114,88,1,0,0,0,0,64,0,-1--1--1,,1|(875,291)| 1,116,113,88,1,0,0,0,0,64,0,-1--1--1,,1|(887,304)| 10,117,Time,831,286,22,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,118,life expectancy,780,222,42,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,119,76,118,1,0,0,0,0,64,0,-1--1--1,,1|(742,197)| 1,120,77,118,1,0,0,0,0,64,0,-1--1--1,,1|(765,184)| 1,121,118,88,1,0,0,0,0,64,0,-1--1--1,,1|(832,223)| 1,122,118,4,0,0,0,0,0,64,0,-1--1--1,,1|(761,271)| 10,123,Time,662,228,22,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,124,123,118,0,0,0,0,0,0,0,-1--1--1,,1|(704,225)| 10,125,normal life expectancy table,764,122,44,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,126,125,118,0,0,0,0,0,64,0,-1--1--1,,1|(771,171)| 10,127,crude death rate,703,508,29,23,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||255-0-0 1,128,30,127,0,0,0,0,0,0,0,-1--1--1,,1|(634,442)| 1,129,6,127,0,0,0,0,0,0,0,-1--1--1,,1|(636,388)| 10,130,crude birth rate,219,456,23,22,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||255-0-0 1,131,54,130,0,0,0,0,0,64,0,-1--1--1,,1|(294,363)| 1,132,48,130,0,0,0,0,0,64,0,-1--1--1,,1|(297,425)| 1,133,10,39,0,0,0,0,0,64,0,-1--1--1,,1|(422,246)| 1,134,36,39,0,0,0,0,0,64,0,-1--1--1,,1|(495,398)| 1,135,85,127,0,0,0,0,0,0,0,-1--1--1,,1|(801,416)| 1,136,85,130,0,0,0,0,0,0,0,-1--1--1,,1|(542,402)| 10,137,life table death rates function,909,498,140,11,0,3,0,0,-1,0,0,0 1,138,137,4,0,0,0,0,0,64,0,-1--1--1,,1|(828,420)| 1,139,1,56,0,0,0,0,0,0,1,-1--1--1,,1|(625,377)| 1,140,27,57,0,0,0,0,0,0,1,-1--1--1,,1|(598,414)| 1,141,78,77,0,0,0,0,0,0,1,-1--1--1,,1|(727,112)| \\\---/// Sketch information - do not modify anything except names V300 Do not put anything below this section - it will be ignored *1.a. Births $192-192-192,0,Times New Roman|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,100 10,1,birth rate,515,55,26,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,2,sexually active female cohorts,454,109,42,15,8,3,0,9,0,0,0,0,128-128-128,0-0-0,|10||0-0-0 10,3,total regional fertility rate,363,115,37,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,4,UNCONSCIOUSLY CONTROLLED FERTILITY RATE,130,195,55,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,5,4,3,1,0,0,0,0,0,0,-1--1--1,,1|(234,136)| 10,6,proportion using conscious control,362,213,51,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,7,6,3,1,0,0,0,0,0,0,-1--1--1,,1|(351,158)| 10,8,effect of adult literacy ON Proportion using conscious control,415,362,70,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,9,8,6,1,0,0,0,0,64,0,-1--1--1,,1|(355,276)| 10,10,INITIAL PROPORTION USING CONSCIOUS CONTROL,438,311,67,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,11,10,6,1,0,0,0,0,0,0,-1--1--1,,1|(374,269)| 10,12,age specific fertility distribution,663,110,55,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,13,fertile age,643,190,40,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,14,13,12,1,0,0,0,0,64,0,-1--1--1,,1|(666,153)| 1,15,2,1,1,0,0,0,0,64,0,-1--1--1,,1|(469,76)| 1,16,3,1,1,0,0,0,0,64,0,-1--1--1,,1|(436,60)| 1,17,12,1,1,0,0,0,0,64,0,-1--1--1,,1|(587,68)| 10,18,effect of economic condition on fertility rate,271,332,58,22,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,19,EFFECT of ECONOMIC CONDITIONs on fertility rate FUNCTION,306,511,55,33,8,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,20,19,18,1,0,0,0,0,0,0,-1--1--1,,1|(260,414)| 10,21,effect of adult literacy fertility rate,188,362,55,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,22,EFFECT of ADULT LITERACY fertility rate FUNCTION,185,497,66,22,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,23,22,21,1,0,0,0,0,64,0,-1--1--1,,1|(176,413)| 10,24,Rural Population,508,203,54,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,25,24,2,1,0,0,0,0,0,0,-1--1--1,,1|(462,165)| 10,26,urban Population,506,217,56,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,27,26,2,1,0,0,0,0,0,0,-1--1--1,,1|(438,154)| 10,28,pc GDP in ppp,398,477,50,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,29,initial pc gdp in ppp,421,514,48,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,30,relative pc gdp in ppp,315,436,42,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,31,29,30,1,0,0,0,0,64,0,-1--1--1,,1|(335,482)| 1,32,28,30,1,0,0,0,0,64,0,-1--1--1,,1|(347,468)| 1,33,30,18,1,0,0,0,0,64,0,-1--1--1,,1|(277,396)| 10,34,Time,404,455,22,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,35,34,30,1,0,0,0,0,0,0,-1--1--1,,1|(365,455)| 10,36,proportion of babies per sex,566,111,40,15,8,3,0,11,-1,0,0,0,128-128-128,0-0-0,|10||0-255-0 1,37,36,1,1,0,0,0,0,64,0,-1--1--1,,1|(554,86)| 10,38,initial desired number of children per woman,128,307,47,38,8,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-255-0 10,39,gender based literacy rate,42,330,40,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,40,gender based literacy rate,299,413,40,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,41,average literacy rate,217,455,37,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,42,41,21,1,0,0,0,0,64,0,-1--1--1,,1|(196,419)| 10,43,CONSCIOUSLY CONTROLLED FERTILITY RATE,249,213,50,22,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,44,18,43,1,0,0,0,0,64,0,-1--1--1,,1|(241,270)| 1,45,21,43,1,0,0,0,0,64,0,-1--1--1,,1|(194,285)| 1,46,38,43,1,0,0,0,0,64,0,-1--1--1,,1|(166,246)| 1,47,43,3,1,0,0,0,0,64,0,-1--1--1,,1|(287,148)| 10,48,relative literacy rate,409,432,47,15,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,49,contraceptive prevalence rate,553,157,43,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 1,50,2,49,0,0,0,0,0,64,0,-1--1--1,,1|(496,130)| 10,51,total fertility rate,185,111,46,9,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 1,52,3,51,0,0,0,0,0,64,0,-1--1--1,,1|(285,113)| 10,53,"% rural population",112,141,59,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,54,53,51,0,0,0,0,0,0,0,-1--1--1,,1|(141,128)| 1,55,6,49,0,0,0,0,0,64,0,-1--1--1,,1|(454,186)| 10,56,crude birth rate,327,27,57,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 10,57,crude death rate,282,69,43,19,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 10,58,EFFECT of LITERACY ON Proportion using conscious control function,534,471,78,30,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,59,relative literacy rate,415,399,53,19,8,2,1,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 10,60,average literacy rate,573,412,55,19,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,61,60,8,0,0,0,0,0,64,0,-1--1--1,,1|(507,391)| 1,62,58,8,0,0,0,0,0,64,0,-1--1--1,,1|(475,417)| 10,63,AGE SPECIFIC FERTILITY DISTRIBUTION TABLE 0,689,315,76,15,8,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,64,AGE SPECIFIC FERTILITY DISTRIBUTION TABLE,714,245,69,22,8,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,65,AGE SPECIFIC FERTILITY DISTRIBUTION TABLE 1,816,177,76,15,8,3,0,9,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,66,EFFECT of ADULT LITERACY fertility rate FUNCTION 0,123,558,66,22,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,67,65,12,0,0,0,0,0,64,0,-1--1--1,,1|(745,146)| 1,68,28,29,0,0,0,0,0,0,1,-1--1--1,,1|(403,486)| 1,69,34,29,0,0,0,0,0,0,1,-1--1--1,,1|(409,474)| 1,70,64,12,0,0,0,0,0,64,0,-1--1--1,,1|(689,180)| \\\---/// Sketch information - do not modify anything except names V300 Do not put anything below this section - it will be ignored *2. Primary Education $192-192-192,0,Times New Roman|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,100 10,1,Primary Students,612,414,38,23,3,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,2,primary students enrollment,488,462,48,15,8,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 12,3,48,422,403,10,8,0,3,0,40,-1,0,0,0,-1--1--1,0-0-0,Times New Roman|10||0-0-0 11,4,48,486,402,6,8,34,3,0,0,1,0,0,0 10,5,primary gross intake,486,419,56,9,40,3,0,11,-1,0,0,0,128-128-128,0-0-0,|10||0-0-255 1,6,4,1,4,0,0,22,0,0,0,-1--1--1,,1|(533,402)| 1,7,4,3,100,0,0,22,0,0,0,-1--1--1,,1|(456,402)| 12,8,48,642,530,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,9,11,8,4,0,0,22,0,0,0,-1--1--1,,1|(639,505)| 1,10,11,1,100,0,0,22,0,0,0,-1--1--1,,1|(639,455)| 11,11,48,639,481,10,8,33,3,0,0,4,0,0,0 10,12,primary students deaths,697,481,48,15,40,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,13,initial primary students,734,368,56,15,8,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-255-0 10,14,TIME FOR ONE GRADE,695,305,46,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,15,14,1,1,0,0,0,0,64,0,-1--1--1,,1|(634,364)| 1,16,17,1,100,0,0,22,0,0,0,-1--1--1,,1|(668,411)| 11,17,4524,692,411,6,8,34,3,0,0,1,0,0,0 10,18,primary graduation,692,428,53,9,40,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,19,1,18,1,0,0,0,0,64,0,-1--1--1,,1|(671,446)| 1,20,14,18,1,0,0,0,0,64,0,-1--1--1,,1|(746,349)| 1,21,1,12,1,0,0,0,0,0,0,-1--1--1,,1|(660,442)| 10,22,primary gross intake rate,483,274,39,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,23,average gross enrollment rate,353,425,42,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 1,24,2,23,1,0,0,0,0,64,0,-1--1--1,,1|(418,461)| 1,25,51,22,1,0,0,0,0,0,0,-1--1--1,,1|(539,226)| 10,26,literate population,890,414,41,22,3,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 12,27,48,1060,409,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,28,30,27,4,0,0,22,0,0,0,-1--1--1,,1|(1016,411)| 1,29,30,26,100,0,0,22,0,0,0,-1--1--1,,1|(950,411)| 11,30,48,976,411,6,8,34,3,0,0,1,0,0,0 10,31,literate deaths,976,428,40,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,32,26,31,1,0,0,0,0,64,0,-1--1--1,,1|(947,446)| 10,33,maximum gross intake rate,485,333,43,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,34,1,33,1,0,0,0,0,64,0,-1--1--1,,1|(538,389)| 10,35,time to enroll students,593,322,54,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,36,35,33,1,0,0,0,0,0,0,-1--1--1,,1|(519,326)| 10,37,perceived education expenditure adjustment time,263,181,74,22,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,38,initial perceived education expenditure,418,87,60,22,8,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,39,effect of per primary student expenditure on dropout table,671,646,87,22,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,40,expenditure per primary school age person,609,67,54,22,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,41,relative education expenditure per primary school age person,669,145,66,22,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,42,40,41,1,0,0,0,0,64,0,-1--1--1,,1|(634,89)| 10,43,perceived education expenditure,534,132,42,26,3,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 12,44,48,366,126,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,45,46,44,100,0,0,22,0,0,0,-1--1--1,,1|(404,130)| 11,46,48,438,130,6,8,34,3,0,0,1,0,0,0 10,47,perceived education expenditure adjustment,438,153,66,15,40,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,48,37,47,1,0,0,0,0,64,0,-1--1--1,,1|(354,136)| 1,49,43,47,1,0,0,0,0,64,0,-1--1--1,,1|(504,170)| 10,50,dropout probability,685,555,54,9,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,51,indicated primary gross intake rate,626,222,49,15,8,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,52,initial primary gross intake rate,761,192,38,30,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,53,52,51,1,0,0,0,0,64,0,-1--1--1,,1|(713,213)| 10,54,initial education expenditure per primary school age person,718,21,72,30,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,55,54,41,1,0,0,0,0,64,0,-1--1--1,,1|(729,89)| 10,56,initial dropout probability,741,615,57,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,57,39,50,1,0,0,0,0,0,0,-1--1--1,,1|(686,593)| 1,58,56,50,1,0,0,0,0,0,0,-1--1--1,,1|(718,588)| 10,59,primary student crude death rate,799,478,46,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,60,rural deaths,749,523,41,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,61,60,59,1,0,0,0,0,0,0,-1--1--1,,1|(794,518)| 10,62,Rural Population,829,570,54,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,63,62,59,1,0,0,0,0,0,0,-1--1--1,,1|(842,525)| 10,64,urban deaths,774,538,44,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,65,64,59,1,0,0,0,0,0,0,-1--1--1,,1|(810,519)| 10,66,urban Population,800,554,56,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,67,66,59,1,0,0,0,0,0,0,-1--1--1,,1|(824,530)| 1,68,59,12,0,0,0,0,0,64,0,-1--1--1,,1|(756,479)| 10,69,gdp deflator table,364,295,49,15,8,3,0,10,-1,0,0,0,0-0-0,0-0-0,|10||0-0-255 10,70,estimated federal and provincial primary education expenditure fraction,227,278,85,30,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,71,46,43,4,0,0,22,0,0,0,-1--1--1,,1|(468,130)| 10,72,Time,406,252,22,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,73,gender based literacy rate,1000,513,39,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,74,death rate,1034,427,36,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,75,74,31,0,0,0,0,0,64,0,-1--1--1,,1|(1013,426)| 10,76,urban Population,992,694,56,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,77,Rural Population,992,694,54,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 12,78,48,887,290,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,79,81,78,4,0,0,22,0,0,0,-1--1--1,,1|(889,317)| 1,80,81,26,100,0,0,22,0,0,0,-1--1--1,,1|(889,370)| 11,81,48,889,342,8,6,33,3,0,0,4,0,0,0 10,82,literate population emigration rate,949,342,52,15,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,83,26,82,0,0,0,0,0,64,0,-1--1--1,,1|(917,379)| 10,84,emigration rate,1035,327,49,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,85,84,82,0,0,0,0,0,64,0,-1--1--1,,1|(1000,332)| 10,86,Rural Population,402,643,54,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,87,urban Population,402,643,56,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,88,real education expenditure,772,267,44,15,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,89,real education expenditure,547,337,44,15,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,90,1,2,1,0,0,0,0,64,0,-1--1--1,,1|(564,446)| 10,91,real education expenditure,343,189,40,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,92,72,91,1,0,0,0,0,0,0,-1--1--1,,1|(364,230)| 1,93,91,47,1,0,0,0,0,64,0,-1--1--1,,1|(370,161)| 10,94,initial literacy rate,1196,465,51,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,95,initial literate population,1023,464,57,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,96,Rural Population,1186,498,54,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,97,urban Population,1202,538,56,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,98,lit pop,988,537,19,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,99,26,98,1,0,0,0,0,64,0,-1--1--1,,1|(914,480)| 12,100,48,612,562,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,101,102,100,4,0,0,22,0,0,0,-1--1--1,,1|(620,531)| 11,102,48,620,503,8,6,33,3,0,0,2,0,0,0 10,103,primary dropouts,564,503,48,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,104,50,102,1,0,0,0,0,64,0,-1--1--1,,1|(634,539)| 1,105,1,102,0,0,0,0,0,64,0,-1--1--1,,1|(615,460)| 1,106,102,1,100,0,0,22,0,0,0,-1--1--1,,1|(620,467)| 10,107,average literacy rate,1097,578,56,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,108,73,107,0,0,0,0,0,64,0,-1--1--1,,1|(1046,544)| 10,109,gdp in PPP,400,269,41,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,110,109,91,1,0,0,0,0,0,0,-1--1--1,,1|(351,234)| 1,111,96,107,0,0,0,0,0,0,0,-1--1--1,,1|(1146,533)| 10,112,total rural population,960,587,35,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,113,112,107,0,0,0,0,0,0,0,-1--1--1,,1|(1011,583)| 10,114,total urban population,931,559,35,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,115,114,107,0,0,0,0,0,0,0,-1--1--1,,1|(996,566)| 1,116,97,107,0,0,0,0,0,0,0,-1--1--1,,1|(1156,555)| 1,117,33,22,0,0,0,0,0,64,0,-1--1--1,,1|(484,310)| 1,118,26,73,0,0,0,0,0,64,0,-1--1--1,,1|(943,462)| 10,119,effect of relative literacy rate on dropout,479,663,66,22,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,120,relative literacy rate,630,706,54,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,121,107,120,0,0,0,0,0,0,0,-1--1--1,,1|(870,640)| 10,122,initial average literacy rate,836,706,57,15,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,123,122,120,0,0,0,0,0,0,0,-1--1--1,,1|(738,706)| 1,124,70,91,1,0,0,0,0,64,0,-1--1--1,,1|(303,208)| 1,125,22,4,1,0,0,0,0,64,0,-1--1--1,,1|(437,332)| 12,126,48,775,411,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,127,129,26,4,0,0,22,0,0,0,-1--1--1,,1|(832,411)| 1,128,129,126,100,0,0,22,0,0,0,-1--1--1,,1|(794,411)| 11,129,48,809,411,6,8,34,3,0,0,1,0,0,0 10,130,new literates,809,428,36,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 12,131,48,741,412,10,8,0,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,132,17,131,4,0,0,22,0,0,0,-1--1--1,,1|(714,411)| 1,133,1,130,0,0,0,0,0,64,0,-1--1--1,,1|(704,419)| 10,134,Unit Year,882,503,35,9,8,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,135,134,130,0,0,0,0,0,0,0,-1--1--1,,1|(850,470)| 1,136,18,130,0,0,0,0,0,0,0,-1--1--1,,1|(752,428)| 1,137,43,40,1,0,0,0,0,64,0,-1--1--1,,1|(562,102)| 1,138,41,51,1,0,0,0,0,64,0,-1--1--1,,1|(660,180)| 10,139,average literacy rate,171,371,37,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||255-0-0 10,140,primary school age population,405,30,54,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,141,Rural Population,254,7,54,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,142,urban Population,253,22,56,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,143,141,140,0,0,0,0,0,64,0,-1--1--1,,1|(322,17)| 1,144,142,140,0,0,0,0,0,64,0,-1--1--1,,1|(323,25)| 1,145,140,40,0,0,0,0,0,64,0,-1--1--1,,1|(500,46)| 1,146,119,50,0,0,0,0,0,64,0,-1--1--1,,1|(587,605)| 1,147,120,50,0,0,0,0,0,64,0,-1--1--1,,1|(654,637)| 10,148,effect of expenditure per primary school age person on primary gross intake rate table,796,93,98,30,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,149,estimated private education expenditure fraction,146,213,79,22,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||0-0-255 1,150,149,91,0,0,0,0,0,64,0,-1--1--1,,1|(257,199)| 1,151,148,51,1,0,0,0,0,64,0,-1--1--1,,1|(711,176)| 1,152,69,91,1,0,0,0,0,64,0,-1--1--1,,1|(337,245)| 10,153,average net enrollment rate,311,472,42,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 10,154,population age 10 and above,1128,650,50,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,155,96,154,0,0,0,0,0,64,0,-1--1--1,,1|(1160,564)| 1,156,97,154,0,0,0,0,0,64,0,-1--1--1,,1|(1170,585)| 1,157,154,73,0,0,0,0,0,64,0,-1--1--1,,1|(1068,586)| 10,158,estimated educational expenditure fraction,74,253,61,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,159,estimated regional education expenditure fraction,126,128,62,22,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 1,160,149,159,0,0,0,0,0,64,0,-1--1--1,,1|(137,177)| 1,161,70,159,0,0,0,0,0,64,0,-1--1--1,,1|(177,204)| 1,162,159,158,0,0,0,0,0,64,0,-1--1--1,,1|(101,187)| 1,163,170,159,0,0,0,0,0,0,0,-1--1--1,,1|(223,124)| 10,164,effect of relative literacy rate on primary gross intake rate,862,154,79,30,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0 10,165,relative literacy rate,928,105,47,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,166,primary dropout rate,499,552,57,9,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 1,167,103,166,0,0,0,0,0,64,0,-1--1--1,,1|(537,523)| 10,168,estimated private education expenditure,267,72,62,15,8,3,0,10,0,0,0,0,0-0-0,0-0-0,|10||255-0-0 1,169,149,168,0,0,0,0,0,64,0,-1--1--1,,1|(204,144)| 10,170,Time,267,124,22,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,171,170,168,0,0,0,0,0,0,0,-1--1--1,,1|(267,108)| 10,172,urban Population,486,447,56,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,173,urban Population,485,367,56,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,174,Rural Population,486,447,54,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,175,Rural Population,485,367,54,9,8,2,1,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 10,176,primary school age population,603,355,57,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128 1,177,176,33,0,0,0,0,0,64,0,-1--1--1,,1|(543,344)| 10,178,"% female primary students",141,594,42,28,8,3,0,0,0,0,0,0 1,179,2,178,0,0,0,0,0,64,0,-1--1--1,,1|(322,525)| 10,180,average gross enrollment primary,204,459,67,28,8,3,0,0,0,0,0,0 1,181,23,180,0,0,0,0,0,64,0,-1--1--1,,1|(297,436)| 10,182,primary school age population,281,380,65,19,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,183,182,180,0,0,0,0,0,64,0,-1--1--1,,1|(251,410)| 1,184,176,13,0,0,0,0,0,64,0,-1--1--1,,1|(662,360)| 1,185,52,13,0,0,0,0,0,64,0,-1--1--1,,1|(747,280)| 10,186,pvt to pub,90,69,46,11,8,3,0,0,0,0,0,0 1,187,149,186,0,0,0,0,0,64,0,-1--1--1,,1|(118,142)| 1,188,70,186,0,0,0,0,0,64,0,-1--1--1,,1|(156,169)| 10,189,Time,90,99,26,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,190,189,186,0,0,0,0,0,0,0,-1--1--1,,1|(90,91)| 1,191,176,5,0,0,0,0,0,64,0,-1--1--1,,1|(545,386)| 1,192,176,23,0,0,0,0,0,64,0,-1--1--1,,1|(479,389)| 1,193,164,51,0,0,0,0,0,64,0,-1--1--1,,1|(735,189)| 1,194,165,51,0,0,0,0,0,64,0,-1--1--1,,1|(783,160)| 10,195,relative education expenditure per primary school age person,446,614,76,28,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,196,195,50,0,0,0,0,0,64,0,-1--1--1,,1|(578,581)| 1,197,176,166,0,0,0,0,0,64,0,-1--1--1,,1|(552,450)| 1,198,166,153,0,0,0,0,0,64,0,-1--1--1,,1|(418,517)| 1,199,23,153,0,0,0,0,0,64,0,-1--1--1,,1|(336,443)| 10,200,male female entrance rate difference,852,236,67,28,8,3,0,0,0,0,0,0 1,201,200,51,0,0,0,0,0,64,0,-1--1--1,,1|(736,228)| 10,202,literacy rate,104,414,40,19,8,3,0,0,0,0,0,0 1,203,139,202,0,0,0,0,0,64,0,-1--1--1,,1|(146,386)| 10,204,"% rural population",104,448,39,19,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,205,204,202,0,0,0,0,0,0,0,-1--1--1,,1|(104,438)| 10,206,total primary school age population,238,338,66,28,8,3,0,0,0,0,0,0 1,207,182,206,0,0,0,0,0,64,0,-1--1--1,,1|(269,368)| 10,208,"primary as % of total population",90,497,81,19,8,3,0,0,0,0,0,0 1,209,206,208,0,0,0,0,0,64,0,-1--1--1,,1|(164,416)| 10,210,total population,90,535,58,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,211,210,208,0,0,0,0,0,0,0,-1--1--1,,1|(90,527)| 10,212,education policy,115,321,48,19,8,3,0,0,0,0,0,0 10,213,Time,115,355,26,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128 1,214,213,212,0,0,0,0,0,0,0,-1--1--1,,1|(115,349)| 1,215,212,91,0,0,0,0,0,64,0,-1--1--1,,1|(225,256)| 10,216,intake ratio,394,350,57,11,8,3,0,0,0,0,0,0 1,217,5,216,0,0,0,0,0,64,0,-1--1--1,,1|(446,389)| 1,218,176,216,0,0,0,0,0,64,0,-1--1--1,,1|(505,352)| 1,219,2,216,0,0,0,0,0,64,0,-1--1--1,,1|(444,409)| 1,220,13,1,0,0,0,0,0,0,1,-1--1--1,,1|(679,388)| 1,221,95,26,0,0,0,0,0,0,1,-1--1--1,,1|(964,441)| 1,222,91,38,0,0,0,0,0,0,1,-1--1--1,,1|(373,147)| 1,223,38,43,0,0,0,0,0,0,1,-1--1--1,,1|(476,109)| 1,224,40,54,0,0,0,0,0,0,1,-1--1--1,,1|(647,50)| 1,225,94,95,0,0,0,0,0,0,1,-1--1--1,,1|(1119,464)| 1,226,154,95,0,0,0,0,0,0,1,-1--1--1,,1|(1078,563)| 1,227,107,122,0,0,0,0,0,0,1,-1--1--1,,1|(978,635)| ///---\\\ :GRAPH GRAPH :TITLE GRAPH :SCALE :VAR total population :SCALE :VAR pop :GRAPH COMP :TITLE comp :SCALE :VAR aaa :SCALE :VAR education policy :L<%^E!@ 1:Pakpop-New.vdf 1:Base1.vdf 9:Base1 22:$,Dollar,Dollars,$s 22:Day,Days 22:Hour,Hours 22:Month,Months 22:Person,People,Persons 22:Unit,Units 22:Week,Weeks 22:Year,Years 15:0,0,0,0,0,0 19:100,2 27:2, 4:Time 5:EFFECT OF EXPENDITURE PER PRIMARY SCHOOL AGE PERSON ON PRIMARY GROSS INTAKE RATE TABLE 24:1980 25:2015 26:2015 6:AG UNDER 1 6:AGE 15 6:AGE 16 6:AGE 17 6:AGE 18 6:AGE 19 6:AGE 20 6:AGE 21 6:AGE 22 6:AGE 23 6:AGE 24 6:AGE 25 6:AGE 26 6:AGE 27 6:AGE 28 6:AGE 29 6:AGE 30 6:AGE 31 6:AGE 32 6:AGE 33 6:AGE 34 6:AGE 35 6:AGE 36 6:AGE 37 6:AGE 38 6:AGE 39 6:AGE 40 6:AGE 41 6:AGE 42 6:AGE 43 6:AGE 44 6:AGE 45 6:AGE 46 6:AGE 47 6:AGE 48 6:AGE 49 6:FEMALE 6:grade 1 6:grade 2 6:grade 3 6:grade 4 6:grade 5 6:MALE 6:rural 6:urban