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>$;d" EC) + V?(%c]i$1 &E(] > i?% I3].@' Ij.5@%]#0,h h "k ? @ A B C D E F G H  I  J  K L M  N  O  P  Q  R S # T & U ) V , W / X 2 Y 5 Z 8 [ ; \ > ] A ^ D 4G L" K !GL" T AG+ L" [ G2)L" _ J6L" c #H9L" g Ij+v!LL" m It+v&ML" s !I~+v+NL" y .I+v3OL"  HI+v9PL" UI+` yL" KL" KL" KEL" 1KK+L" "     sKaL" "  ~Kc($ O($ P ($ )P; (& K;%|($ K/y;($ 1]7 ;)$ L) R1 (  Z6`i($ Z5]i($ R;i(& hZ5];:-3($ T]8] 5)$   Z6 \)$ Z+6 S{)$* Z86 e)$/ ZC6}sc)$5 [x6cIc)$; U[6d)$@ ,* C h[6Y)$G [6e)$N [6.)$Y [#7,)$b C\&)$o \y7*)$y \7 Uf)$ a < ;)$ 3`; ;i~)$ P^9 ;)$ ]08 )$ ]M8]c)$ =^8 Т)$ *^8 )$ ^e8Y)$ `9 e)$ 5 XRd12L+,4k '1\+.4XpҢ n )|+.4"i ,+.4+k #0+.4Yhq/2+$4\hq+2+$4o *+.4 puc m ?(+.4 j_L" "l % ,.4hq-2,$4Zl %,,.4j !G/<,.4 h W$L,.4ym w'\,.4osi$baj .|,.4Bi -,.42i ',,.4vhq)g2,$4j<?^L" o`L" k %0,.4o _+,.4Y$m &,.4Sn ) -.4^p{$og$#p7 7; L,,, ,,\,+ -|++,,+,|,<,+,\+,+,+L+,<| \ l L)L"L  !L \,* LL<+L\(  L)lL", L)l | |lL| ,Ll ,L,Ll,\',L'l'l\\ < ,<L\,(\ll (||(|  ,<L\l|||'### ##<(# $$,$<$L$\$l$<|$<$$$$$\$$$ %#%|,%<%L%\%l%|%%%%%%%%% &&,&<&L&\&l&|&&&&&&&&&< '','<'\'l|'L ,  l\   l|<l)< | | ,,  l|!!Ll\< *!, < \ lLl!!," L#)+,L , < (l L professores"Professores primarioAverage years of teachingAlunos primario EP1grade1to5 sumunitunit population&#reset(RelativeSoilMoisture[BASIN])#Taxa de desistencia inicialTTaxa de desistenciae by ageschool age 7 and aboveage7 age35age8age9 age10 age11 age12 age13 age14 age15age16 age17 age18 age19 age20 age21 age22 age23 age24 age25 age26 age27 age28 age29 age30 age31 age32 age33 age34".MozambiquePortuguese4)#IN])#Alunos por classe6"Proporcao 15+ com ensino primario basico completo"grade primary complete"Mao-de-obra nacional")#"Populacao inicial sem ensignoAdmissao na escola por idade&"Relacao aluno/professor primario"all but youngest schoolageall but oldest schoolage aging7age5enter age 5"all but youngest above schoolage"all but oldest above schoolage age36 grade1 out rates aging9Alunos inicialall but first gradeall but twelfth gradeyoungest ageage above 35 aging10age00to04&Populacao com secondario completo.Populacao post ensino por classe concluido&Professional and technical workforce*Novo graduados com secundario completo .SKILLED2initial skilled workforce by 1 year age group2Initial skilled workforce by 5 year age grouplabor group*Annual drop out rate ao longo do tempoGraduados por sexo e idade&Taxa de graduacao ao longo do tempo*Alunos na universidade por sexo e idade.Novo alunos na universidade por sexo e idade"Alunos na universidade inicial*Taxa de matriculacao ao tongo do tempoinitial demandinitial numberinitial wagedemand wage elasticityPIBdemand shifters elasticityinitial supply supply shifters elasticitysupply wage elasticityWage demand:SUPPLEMENTARY supply&Prof and Technical Workforce by age.ECONOMYandLABORFORCE al GDP growth rateLNpreviousGDP"Urban labor exponent over time.productividade inicial por trabhalador rural"Mao-de-obra rural total"Productividade rurality*"Mao-de-obra urbano por idade e formacao"residence"$ ation productivity factor"Mao-de-obra urbano efectivo"2productividade por trabhalador ao longo de tempope al worker over timeInvestimentostment2Taxa de investimento de PIBntage of absorption>"Available labor force by skill, age, urban/rural residence"2taxa de actividade por sexo idade e residenciaa"&"Mao-e-obra urbano baixa formacao"to care urban:net increase of foreign labor by five year age groups&Factor de idade para productividade rural."Mao-de-obra que trata pacientes de SIDA"r * per AIDS patientPopulacao total com SIDADebt financingForeign indebtednessDebt repayment rateDebt interest rateForeign inflow:Proportion of rural agricultural production for exportsProducao urbanoFood balancePopulacao totalFood needs per person Exports*Proportion urban production for exports"Urban capital exponent over timedepreciationCapitalpitaldepreciation rate over timeCapital in 1997Food importscost of food-meticais ImportsInput importsProportion imported inputs&Bn productivity factor over timeTrade balanceDomestic absorption Percent foreign inflow loans.SUBSCRIPTS grade2 grade3 grade4 grade5 grade6 grade7 grade8 grade9 grade10 grade11 -gradegrade6to7grade8to10grade11to12 hivover6educationilliterate primarysecondaryhiv all but hiv0 and hiv1age6 age37 age38 age39 age40 age41 age42 age43 age44 age45 age46 age47 age48 age49 age50 age51 age52 age53 age54 age55 age56 age57 age58 age59 age60 age61 age62 age63 age64 age65 age66 age67 age68 age69 age70 age71 age72 age73 age74 age75 age76 age77 age78 age79 age80 age81 age82 age83 age84 age85 age86 age87 age88 age89 age90 age91 age92 age93 age94age of male incidence"age of female nonreproductionage of male nonincidenceage36to49age95to99agesex groupgrade high primarygrade high secondarygrade low primarygrade low secondarygrade primary 1 to 6older than schoolageage17to40age19to42age15to38age41to49num1num5num2num3num4 iyear y1993 y1997 .LIFEEsperanca de vida ao nascerTx idade 0Tx grupo de idade 1 a 4&Tx grupos de idade acima dos 4 anosnqx8Taxa de mortalidade por idade e grupos 5 de idade.Populacao total por sexo e grupos 5 de idade -deathPopulacao iniciallx idade 0lx idade 4&lx grupos de idade acima dos 4 anos "1-nqx".Taxa de mortalidade incluindo SIDA por sexo .RESULTSAlunos total na universidade&Novo alunos total na universidadeGraduados total"Education as % GDP"Cost of educationGDP per capita -personTGF Actual"HIV incidence 15-49"*"Proporcao 15+ que frequenta ensigno"""Proporcao 15+ com primario 1-6"2"Proporcao 15+ com ensigno secundario completo"&"Proporcao 15+ com nenhum ensigno""HIV prevalence 15-49"&SIDA por sexo e grupos 5 de iadade2Populacao com HIV por sexo e grupos 5 de idade2Populacao por sexo e grupos 5 de idade sem HIVPopulacao de 15 anos e mais*Taxa bruta de mortalidade incluindo SIDAPopulacao total sem HIVPopulacao total com HIVTotal de obitos por SIDAHIV pop by sex and age .Controlhivstat13thru15yAlunos secundario totalum~#linint(populacaoporgrupos5deidade1997[sex,agegroup1],populacaoporgrupos5deidade1997[sex,agegroup2],populacaoporgrupos5d#ge~#linint(populacaoporgrupos5deidade1997[sex,agegroup2],populacaoporgrupos5deidade1997[sex,agegroup3],populacaoporgrupos5d#la~#linint(populacaoporgrupos5deidade1997[sex,agegroup3],populacaoporgrupos5deidade1997[sex,agegroup4],populacaoporgrupos5d#ca~#linint(populacaoporgrupos5deidade1997[sex,agegroup4],populacaoporgrupos5deidade1997[sex,agegroup5],populacaoporgrupos5d#ei~#linint(populacaoporgrupos5deidade1997[sex,agegroup5],populacaoporgrupos5deidade1997[sex,agegroup6],populacaoporgrupos5d#7~#linint(populacaoporgrupos5deidade1997[sex,agegroup6],populacaoporgrupos5deidade1997[sex,agegroup7],populacaoporgrupos5d#ge~#linint(populacaoporgrupos5deidade1997[sex,agegroup7],populacaoporgrupos5deidade1997[sex,agegroup8],populacaoporgrupos5d#la~#linint(populacaoporgrupos5deidade1997[sex,agegroup8],populacaoporgrupos5deidade1997[sex,agegroup9],populacaoporgrupos5d#ac~#linint(populacaoporgrupos5deidade1997[sex,agegroup9],populacaoporgrupos5deidade1997[sex,agegroup10],populacaoporgrupos5#ei~#linint(populacaoporgrupos5deidade1997[sex,agegroup10],populacaoporgrupos5deidade1997[sex,agegroup11],populacaoporgrupos#7~#linint(populacaoporgrupos5deidade1997[sex,agegroup11],populacaoporgrupos5deidade1997[sex,agegroup12],populacaoporgrupos#geVb8],populacaoporgrupos5d#76bgegroup18],populacaoporgrupos5d#cbrupos5d#&"Population and HIV/AIDS Model 0"ru9.MozambiquePortuguesehivstat0thru7hivstat8thru12&Admissao inicial na escola por idade7&"Mao-de-obra urbano media formacao"pEducation Model 0>Labor Force by Skill Model 0Urban Economy 0Rural Economy 0Rainfall and Soil Moisture 0&Rainfall and Water Infrastructure 06Populacao sem ensigno por sexo e idadedaded sex>"Populacao por ensigno por sexo, idade e classe completo"."Relacao de alunos/professor a repetencia"&Taxa de admissao ao longo de tempo6Reduccao da taxa de destistencia ao longo de tempo6"mao-de-obra nactional por sexo, idade e formacao"2proporcao urbano por formacao ao longo de tempo*"Mao-de-obra rural por idade e formacao"*Factor de formacao para productividade>"Mao-de-obra por tratemento domiciliar duma paciente de SIDA":"Proporcao de mao-de-obra que trata pacientes e SIDA"&"Mao-de-obra rural baixa formacao"*Productividade urbano ao longo de 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||**l*\*l *<|***)\ !*L**!l !,)!l, l L L\ \\ 9 C:POPULAO E SIDA2- ( GUA61 LECONOMIA>9 N DESCRIO MODELO>9 JCORRER O MODELO FC  AJUSTAR O TAMANHO DE TELA 61 ^MEDUCAOFB MO-DE-OBRA PARA FORMAOFB MO-DE-OBRA ESPECIALIZADA:8 =|PRIMEIRA PGINA.) m >9 <~ENTRADAS INCIASh $/:EP[fq|$/:EP^ky %0;FVH7Lssf>9 ,2#,Entradas Incias*( <  *( m  *(   *( Q  *( r  *( y  *( k  *( <p2Q  *( 4vx  *( wU  *( 'n  *( 6a  *( :W  *( L!i  *( |K  4( |3z  *( 4~  *( *n  *( s[  *( @*  *( ltZ  *( j  *( ,iKP  *( R-8  *( s  *( |  *(   *( L  62 T{8Populao2- ~SIDA61 Fy4Educao61 5Economia*( L   0( < D  *( | c  *(  q  *( '}  *( w  *( ~  *( "@a  *( Y  *( !~S  *( \!#!f  *( <d  *( < Bb  2. 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Times New Roman.) 07m B@!2 Times New RomanB@d!2 Times New Roman*( 02! *( l J  B@  Times New RomanB@ !j Times New Roman"    2- ;K&0gua*( \ 04   u*( o  ""  , *( 3 *( < ( *( ( 'U*( L ( )U L-4*( \( ,  *( g  *( xX  *( P.  >; fScenario variables*( -  2+->; KmBack to Front Page>< )mBack to Model Guide*( c< 6A*( ms 8x*( (P< :-5*( 1\ < 0/*( - >+-*( < 7:(@,'DP &7K^H7Lnrm G In order to adjust the model to fit your screen, follow these steps:B>  (Adjusting Screen SizeNJ X 1. Click on "View" from the menu.JG E 2. Select Zoom > Fit to Screen>< CBack to Model Guidet (8FH7Li>:  $Model Description:5 )# $Focus Issues>< Back to Model Guide63 ~s$Time Scale " For more detailed information, see the Executive Report, or the User's Manual on the CD-ROM. GeH7L [ The Mozambique population-development-environment (PDE) study was conducted from 1998-2000 to explore the prospects for sustainable development in Mozambique up to 2020. Four major issues were selected:vq P8  1) What will be the impact of the HIV/AIDS pandemic in the next decades?zx I  2) How will school enrollment lead to higher skills in the labor force by 2020?ZW   3) Can poverty be erased in the next 20 years? 0 Y  4) What role will water play in development, in particular, water provision by rain to rural areas, and infrastructure to cities?FB @ Back to Model Description64 T9(Focus Issus@ Zs$3EXgvH7Lvv.) t  R The model considers population with HIV/AIDS, school enrollment and education, the labor force by size and skill; the urban economy; the rural economy; and the impact of water on economic development in the urban and rural areas. b_ V Below is a flow diagram of the structure of the model.FB 3 Back to Model Description*( l+O@@*( +>L@@*( l,H@@*( -|J@@*( ,-/2@@*( <--@@@"  @-@$@? " @> @" @*( L-txN@@" @y.) ? JF T1Population and HIV/AIDS Model:8 <S'Education ModelFC R+Labor Force by Skill ModelJG RSkilled Labor Force Wage Model:6 ~O/Urban Economy:6 5I0Rural EconomyNJ |zV0Rainfall and Water InfrastructureHC 1J0 Rainfall and Soil Moisture>: (!*Model Descriptionu >~ ?H7Lt>: eN!*Running the Model "1) There is a base scenario in the model when you start up. This is described in the Executive Summary -)2) It is advisable to run the base scenario first, before making any changes. To do this, give the base scenario a name in the box next to the running figure of the toolbar, and next, hit the running figure.  #X+3) To make changes to the base scenario, click on the set button. All the scenario variables in the model will be highlighted. They can be found in the separate model pages, or together as a list on the page "input variables".&$ %+5) When you have made all your desired changes, give the scenario a new name, and hit the running figure. If you want to reuse a name, simply put the old name in the name box, hit the running figure, and say "yes" you want to overwrite existing file.>< QBack to Model Guide # For more detailed information, see the Executive Report, or the User's Manual on the CD-ROM %#4) Make changes to the variables you want. Note: the changes will ONLY be saved for this one scenario. Afterwards, all the variables are set back to the base values 2H7L@ZX { The time scale of the model is set to 1997-2020FB  Back to Model Description63 $*Time Scale, :JZH7Li 6 For the Mozambique case study model on urban water infrastructure go to the Greater Maputo City Water Case Study Model which is enclosed on the CD-ROM.>; mBack to Front Page>< mBack to Model Guide:7 !*The Case StudyH7Lypyp:PW lG?|J ## %'@'@%'@'@%'@'@ &))+-/25",1##########################~#y#t#o#j#e#`#[#V#Q#L#G#B#=#8#3#.#)#$##### #############################z#u#p#k#f#a#\#W#R#M#H#C#>#9#4#/#*#%# #### ##D0?D0?D0?D0? D0?@D0?`D0?D0?D0?D0?D0?D0? 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Range from 20% to -20%. SET TO ZERO if you want climate change OFF.Represents the expected climate change in temperature in 20 years due to climate change.Range from 0 to +4. An increase of 1.5 degrees is about the average prediction from the Global Circulation Models. SET TO ZERO if you want climate change OFF.Extra terrestrial radiationba measure of surface reflectivity. where a black body has a value of 0, and snow a value of 1.solar declination"Maximum possible daylight hourscloudiness fatorAbility to provide the energy required for evaporation. Amount of heat needed, in clories or MJ/K, to evaporate one gram of water at one atmosphere pressure to vapor>>539 cal/gm.sunset hour angleNet Radiation--net input of radiation at the surface at any instant. The difference between the radiation absorbed Ri(1-a), and that emitted,Re.Evaporationsaturated vapor pressure.slope of the saturate vapor pressure curveRData file to be used. Monthly temperature time series, Celcius. Air temperature.NConversion from Celcius to Kalvin degrees. Used to compute Net radiation.hpa hundreds of pascalslatitude of site>Reference crop Evaporation is used as the same thing as PET.>For new data series,enter number from 1-90. The drought Series begins at start time = 21.Thus, to have a drought from 1997-2003, enter 21. To have a drought from 2000-2005, enter 18. To simulate a drought from 2005-2010, enter 13. Etc. Similarly, the high precipitation, or "flood" series begins at start time =33 ..CAUTION: last five repeated, not calibrated.CAUTION: last five repeated, not calibratedThis table is calculated by first doing a dummy simulation with the initial HIVsurv, past incidence and negative population incidence. THen, the negative population incidence that corresponds to each prevalence is input to this table.\!\!\!This table is calculated by first doing a dummy simulation with the initial HIVsurv, past incidence and negative population incidence. THen, the negative population incidence that corresponds to each prevalence is input to this table.\!\!\!If immune mix = 1 then the immune population mixes with the susceptible population. If immune mix =0, then they do not mix at all (e.g. abstinence or geographical removal).The counted TFR in 1997 was 5.81, 5.66, 3.69 for no school, primary, secondary respectively but this included fertility reduction from HIV. We estimated the fertility reduction was 5% in 1997 (with simulations) and have corrected for it, to find a non-HIV fertility rate of 6.17, 5.93, 3.86.\!\!\!If immune mix = 1 then the immune population mixes with the susceptible population. If immune mix =0, then they do not mix at all (e.g. abstinence or geographical removal)&The actual apparent intake rate exceeded 100 for males in 2000; and probably will at some point for females as well, due to the catch-up effect of school expansion. We can't include it though, because intake in excess of 100 makes our pre-school (illiterate) population go negative.\!\!\!2in 1997, 266 out of 5762 UEM students graduated, and in 1995 168 out of 1358 UP students, a graduation rate of 6 percent. The courses take 5 years, so the maximum graduation rate, assuming no drop-out and no repetition is 20 percent. As a base, we assume a level of 15 percent is reached in 2100.\!\!\!The initial value is in million 1995 dollars, so it is equal to $185. The value is set to reproduce the 911 million 1995 US$ of agricultural production estimated. The value calculated by dividing labor force andmillion 1995 dollarsThese numbers are set in such a way that the effective urban labor is roughly equal to the total rural labor in the starting year. The result is that effective urban labor is considerably higher than the total in the starting year.in 1000 workersThis table is based on three data points from the world bank agricultural output 1991,92 and 93 and the relative rainfall in those years. That gives the points .95,1; 1,1; and .80,.82. The rest are interpolated, or, made up.\!\!\!million 1995 dollarsin 1000 workersSkill levels: low skill is functionally illiterate completed grade 3 or less; medium skill completed grade 4-11; highskill completed grade 12 or higher but no complete university; university degree equals the professional and skilled labor forcemillion 1995 dollarsmillion 1995 dollarsFOUND USING THE CENSUS 1997 DATA, and adapted slightly to get the right size urban and rural population 15+ (the 1997 data give too many urban people)\!\!\!Productivity increases over time in order to replicate the 1997-1999 services+industrial output growth. Might need to be changed in view of changes in the exponents or other values in the model.\!\!\!million 1995 dollarsmillion 1995 dollars&one year age cohorts of a populationage cohorts except infant6age cohort preseding each member of all but youngestThe values here are in 1995 dollars. The 1997 values were ep1 $13; ep2 $29; esg1 $65; esg2 $211; university $1697. The ratio of 1995 to 1997 dollars was .83 calculated with WB data. Month&The initial time for the simulation.& The last time for the simulation.The frequency with which output is stored.&The time step for the simulation.?̬?)\=>k>>Q== ף= @B>G)\=333A>LC@dC A33?zE=C ףTA>x@C33?@?"=lg>Dl>/]>p=>#=Q=333?@@ A??????????????????????????????????????????????????????????????????????Q=LA(>LC@4BD?@?>>>>>>>>>>>>>>>>>>>>>>>>\!G@t@@a2AM@x@@M,@)\@Lq@x@I@Ǟ@G@|@(@sh@@@$@^@33SA(>x@pAL=,A>LC@EC<33+A>LC@'C>L=AA>LC@B ףLC@ C?ff?)\>QAQ>x@CQ=HA ף>GUU@CI@?(\>`F?>?>??u=ff>Aq=>LC@C@{DBOs3\@X@<;];n;<Rr?r?r?=>;qa;O;'; r?r?r?{.>>?|0==C >B`e>T>>T?m?.?????>=H>? pc(m'+m/4hf9M~af#ko!sw|{hf]@,]@0]@4]@8 vchf hf N4" N4+/d3:]iACzEM- DUX[^adglqu!y}!7LDD@EL=L=L=DD@E ף>ё>->>=,>DDDD@E??̌?̌?̌?DDD@E@?L???DDD@EB`e{.>{.>DD@E ?ff&?ff&?DD@E(\?fff?fff?DD@E(\?fff?fff? DDD@D D@E??????DDD@E?ApBBL=k>>>:>?L?OW?9d?Nq???W<>>/i>Q? c?r?|??? #;;j<<㥛 ><>6 ? #;k;|;HP;xz%75? #;k;|;HP;xz%\??\B?zT?fff?33s???DDD@Eu=u=u=u=DDDD@DD@E\B>`P>L>L>L>L>L>D@E>> DDD D`DD D@Euu #< #<D E@E\@ff@ff@DD@E½@ff@ff@D@D E= w@ff@ff@D$DD@D E= w@#X@ .@ff@ff@DDD@E>>>>DDD@E333????///---\\\ :GRAPH URBAN_LABOR_FORCE :TITLE labor force :WIDTH 4 :SCALE :VAR Total urban low skilled labor :LINE-WIDTH 4 :VAR Total urban medium skilled labor :LINE-WIDTH 4 :VAR Total urban high skilled labor :LINE-WIDTH 4 :VAR Total Prof and Technical Workforce :LINE-WIDTH 4 :GRAPH RURAL_LABOR_FORCE :TITLE rural labor force :WIDTH 4 :SCALE :VAR Total rural low skilled labor :LINE-WIDTH 4 :VAR Total rural medium skilled labor :LINE-WIDTH 4 :VAR Total rural high skilled labor :LINE-WIDTH 4 :GRAPH URBAN_AND_RURAL_PRODUCTI :TITLE urban and rural production :SCALE :VAR agricultural production :DATASET Educbaseaidsbaseeconbase :LINE-WIDTH 3 :VAR agricultural production :DATASET educbaseaidsnoneeconbase :LINE-WIDTH 3 :VAR urban production :DATASET educbaseaidsbaseeconbase :LINE-WIDTH 3 :VAR urban production :DATASET educbaseaidsnoneeconbase :LINE-WIDTH 3 :GRAPH ENROLLED_PUPILS :TITLE enrolled pupils :SCALE :VAR alunos prim total :Y-MIN 0 :LINE-WIDTH 3 :SCALE :VAR alunos sec total :Y-MIN 0 :LINE-WIDTH 3 :SCALE :VAR alunos total na universidade :Y-MIN 0 :LINE-WIDTH 3 :GRAPH EFFECTIVE_URBAN :TITLE effective urban :SCALE :VAR effective urban labor force :Y-MIN 0 :DATASET EducBaseAIDSBaseEconBase :VAR effective urban labor force :Y-MIN 0 :DATASET EducBaseAIDSNoneEconBase :VAR effective urban labor force :Y-MIN 0 :DATASET EducHighAIDSBaseEconBase :VAR effective urban labor force :Y-MIN 0 :DATASET EducBaseAIDSBaseEconNoMigr :GRAPH EFFECTIVE_RURAL :TITLE effective urban :SCALE :VAR effective rural labor :Y-MIN 0 :DATASET EducBaseAIDSBaseEconBase :VAR effective rural labor :Y-MIN 0 :DATASET EducBaseAIDSNoneEconBase :VAR effective rural labor :Y-MIN 0 :DATASET EducHighAIDSBaseEconBase :VAR effective rural labor :Y-MIN 0 :DATASET EducBaseAIDSBaseEconNoMigr :GRAPH TOTAL_URBAN_LABOR :TITLE effective urban :SCALE :VAR total urban labor :Y-MIN 0 :Y-MAX 8e+006 :DATASET EducBaseAIDSBaseEconBase :VAR total urban labor :Y-MIN 0 :DATASET EducBaseAIDSNoneEconBase :VAR total urban labor :Y-MIN 0 :DATASET EducHighAIDSBaseEconBase :VAR total urban labor :Y-MIN 0 :DATASET EducBaseAIDSBaseEconNoMigr :GRAPH TOTAL_RURAL_LABOR :TITLE total rural :SCALE :VAR Total rural labor :Y-MIN 0 :DATASET EducBaseAIDSBaseEconBase :VAR Total rural labor :Y-MIN 0 :DATASET EducBaseAIDSNoneEconBase :VAR Total rural labor :Y-MIN 0 :DATASET EducHighAIDSBaseEconBase :VAR Total rural labor :Y-MIN 0 :DATASET EducBaseAIDSBaseEconNoMigr :GRAPH SOIL_MOISTURE :TITLE SOIL_MOISTURE :X-DIV 4 :SCALE :VAR National relative soil moisture annual average :Y-MIN 0.75 :Y-MAX 1.25 :DATASET EducBaseAIDSBaseEconBase :LINE-WIDTH 3 :VAR National relative soil moisture annual average :DATASET EducBaseAIDSBaseEconClimCh2 :LINE-WIDTH 3 :L<%^E!@ 1:current.vdf 9:current 22:$,Dollar,Dollars,$s 22:Hour,Hours 22:Month,Months 22:Person,People,Persons 22:Unit,Units 22:Week,Weeks 22:Year,Years 22:Day,Days 13:mozinputportuguese,climate 18:nationalsens.vsc 20:nationalsens.lst 15:0,0,0,0,0,0 19:5,0 27:0, 4:Time 5:Urban capital exponent over time 24:1997 25:2020.01 26:2020.01 6:Ag 6:age group1 6:age group10 6:age group11 6:age group12 6:age group13 6:age group14 6:age group15 6:age group16 6:age group17 6:age group18 6:age group19 6:age group2 6:age group20 6:age group3 6:age group4 6:age group5 6:age group6 6:age group7 6:age group8 6:age group9 6:age10 6:age11 6:age12 6:age13 6:age14 6:age15 6:age16 6:age17 6:age18 6:age19 6:age20 6:age21 6:age22 6:age23 6:age24 6:age25 6:age26 6:age27 6:age28 6:age29 6:age30 6:age31 6:age32 6:age33 6:age34 6:age35 6:age5 6:age6 6:age7 6:age8 6:age9 6:BuziMZ 6:CDMz11 6:CDMz12 6:CDMz17 6:CDMz18 6:CDMz19 6:CDMz20 6:CDMz21 6:CDMz22 6:female 6:grade1 6:grade10 6:grade11 6:grade12 6:grade2 6:grade3 6:grade4 6:grade5 6:grade6 6:grade7 6:grade8 6:grade9 6:highskill 6:hiv0 6:hiv1 6:hiv10 6:hiv11 6:hiv12 6:hiv13 6:hiv14 6:hiv15 6:hiv2 6:hiv3 6:hiv4 6:hiv5 6:hiv6 6:hiv7 6:hiv8 6:hiv9 6:illiterate 6:IncomMZ 6:Licungo 6:LIGONHA 6:LimpopoMZ 6:lowskill 6:Lurio 6:LZambMZ 6:male 6:MaPhMZ 6:mediumskill 6:MESSALO 6:MZambMZ 6:num1 6:PungMZZW 6:RovuMZMW 6:SaveMZ 6:SER1 6:SER2 6:SER3 6:ShirMZ 6:ShirMZ67 6:susc 6:UmbelMZ 6:universitydegree 6:urban 6:y1993