H(Sun Feb 25 18:09:21 2001) From MozambiqueEnglish.vmfe,iKXXcX"7L\-\-W$!pqr$%&'(*#vwqtus){q``0    `?(Od<`aj+ Zd<`P+ pd<`)+ ed<`+  &l ; C(D E H Rk \V$aSj$i*_ҟ$nHi v=O |f| q}{$k]8 \*$F {" I+` " |{$I_+`m" $9! "ol*}F)vhW" 8`! 2l*tG" 7 l*pF)vK" $[AS& o.$>$c:g,?$ Z$     Y$7 vH$ [$(L xH$."$7,?$ ^$>< AP;"]ؕl&JI+`m |" NQI+v^ z" SI+v ~" Xa&N _l }H,g?k% s?:%A,{q\zj """"""""" " " " " """""""""""qwS"q_S"?v$ "7G ]Ml$ w$C' W. H"  "j  y$' "+% $6~C' aӟ.A8 $K "NK  $Y^ x$cq(C q|qԥ$s+ V*I vuq (zq=$}`qm q{$qCo3 ($! s Xk|$q$q P (UL$jL$ ]џL$OL  zL ?h  x  " " "  b bd "    (,  m|$)   q~w#|( qE/# ( qH|(  o zH|,L bI{| W | !c s|(# q|(%q( .YkL ,, WkL . .jL 1 .PL 4 .5kL 7 .~HL :.RkL <".jL @12.jL BFB.HL E[R.vL Ipb.^3{L Lr.1xL O.COL RTqP< ,VMO< ,XD&q]!< ,Z@ \qj< ,_W&|&O< ,au  c e g?V3< i qAW3< ,p r G< uG< x H< z+#H< L 6&j{{< l A`N< Lh"O< J ,.j< .z)q!'O< , ,?O<  9q*P< ,y1 ).< .H/q/j< , , qY< ,  q$< ,oqc[< ,0;&< ? 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D_(cP & C' 5 EQ)cmz,: C'cP$> ^8 -\*$C DT(mP J C'cP$M E ) X D(  a 7D (cKO$e iD3(g j(h JD%(Rm r FZ)gso#O w |DC(cP${ DL(jz%O  l" Dt(c=\S$ D~(cfj$ E)  mE(r9   E=)c_$ Fe)cLO$ )Fs)H{$ @ " " " " " " " "  "  " # F)v]U" F)vbV" F)vJR" F)\" F) J" "   MGJ*sX" " % &  '  ( ) *  +  ,  -  .  /  0 ! 1 $ 2 ' 3 * 4 - 5 0 6 3 7 6 8 9 9 < : ? ; B < E = H > K ? N @ Q A T B W C Z D ] E ` F c G f H i I l J o K r L u M x N { O ~ P Q R S T U V W X Y Z [ \ ] ^ G " G" G+ " *H2)" K6" H9" I+v!L" I+v&M" I+v+N" I+v3O" I ,v9P" I,` y" K" K" KE"  KK+"  "      La"  "    )Lkl)$" Pl)$& P`l)$- P;bl)&7 HL;3xl)$9 L/y;l)$G ]O8 ;.\*$R ) U =So1 o{l) [ A[}6`1kl)$_ *[f6]3kl)$c HS; kl)&m [V6];:-3l)$p ]8] ̤\*$| G  j[6 ]\*$ {[6 ,\*$ [6 \\*$ [6}O\*$ [6cx$O\*$ [6P\*$ * \ 7Y+\*$ 7\7Q\*$ m\^7\*$ \7\*$ \\*$ 4]7\*$ ]78 HS\*$ bx< ;\*$ `q; ;Ԕ\*$^0: ;\*$I^8 \*$r^8]_k\*$#^8 X\*$+^8 W\*$3^8Y*\*$9`B: R\*$@o C{d12,4Ghq/2$4Phq)g2$4Zhq+2$4ahq-2$4ih W$.4[i ',.4i ,.4%j -.4j ..4 j !G/.4)Tk #0.4Ik %0.4il '1.4l %.4l %.4Mm &.4m w'.4 n ?(.4)|n ).4In ).4iFo *.4o _+.4<,,,,, --,-<-L-L,\,l,|,,,,, ,,,,++ )<\#   , l" L *l +lLl)|L < \* " l<*| \,L, ,Lll ,Ll'' (<|(  (,,(<<LL\\ll||<\ l|(L$\$l$|$$($$$$$$$ %%,%<%L%\%l%|%%%%<$%%%%% &<&,&<&L&\\&\l&|&&&&|&&&&|& '','<'L'\'l'|''''''',( ,<l<(LL l| |\\||  L L , < |  | ,l ","<"< , ,L  *\" "Available labor force by skill, age, urban/rural residence"6"National labor force by age, sex, and education"6Proportion of labor force at home with AIDS patients urban:Net increase of foreign labor by five year age groups2Proportion of labor urban by education over time rural*Labor force at home with AIDS patients:Person time required at home for care of AIDS patientTotal population with AIDSDebt financingForeign indebtednessDebt repayment rateDebt interest rateForeign inflow:Proportion of rural agricultural production for exportsUrban productionFood balanceTotal populationFood needs per person Exports*Proportion urban production for exports"Urban capital exponent over timedepreciation Capital&Capital depreciation rate over timeCapital in 1997Food importscost of food-meticais ImportsInput importsProportion imported inputs&Urban labor productivity over timeTrade balanceDomestic absorptionPercent 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 age50age51 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 6 older than schoolageage17to40age19to42age15to38age41to49num1num5num2num3num4 iyear y1993 y1997 .LIFELife expectancy at birthTx idade 0Tx grupo de idade 1 a 4&Tx grupos de idade acima dos 4 anosnqx6Taxa de mortalidade por idade e grupos 5 de idade*Total population by 5 year age groups -deathPopulacao iniciallx idade 0lx idade 4&lx grupos de idade acima dos 4 anos "1-nqx".Taxa de mortalidade incluindo SIDA por sexo .RESULTSTotal university students"Total new university studentsTotal university graduates"Education as % GDP"Cost of educationGDP per capita -personTotal fertility rate"HIV incidence age 15-49"*"Proportion age 15+ attending school"&"Proportion age 15+ with grade 1-6"."Proportion age 15+ with complete secondary"*"Proportion age 15+ with no schooling""HIV prevalence age 15-49".Population with AIDS by 5 year age groups*Population with HIV by 5 year age groups.Population without HIV by 5 year age groupsPopulation age 15 and older&Mortality per 1000 including AIDSTotal population without HIVTotal population with HIVTotal AIDS deathsHIV pop by sex and age .Control#stepp(n)#"#reset(SumSoilMoisture[BASIN])#&#reset(RelativeSoilMoisture[BASIN])##reset(sumPET[BASIN])##reset(sumprecip[BASIN])#~#linint(Populationby5yearagegroups1997[sex,agegroup1],Populationby5yearagegroups1997[sex,agegroup2],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup2],Populationby5yearagegroups1997[sex,agegroup3],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup3],Populationby5yearagegroups1997[sex,agegroup4],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup4],Populationby5yearagegroups1997[sex,agegroup5],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup5],Populationby5yearagegroups1997[sex,agegroup6],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup6],Populationby5yearagegroups1997[sex,agegroup7],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup7],Populationby5yearagegroups1997[sex,agegroup8],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup8],Populationby5yearagegroups1997[sex,agegroup9],Populationby5yearage#~#linint(Populationby5yearagegroups1997[sex,agegroup9],Populationby5yearagegroups1997[sex,agegroup10],Populationby5yearag#~#linint(Populationby5yearagegroups1997[sex,agegroup10],Populationby5yearagegroups1997[sex,agegroup11],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup11],Populationby5yearagegroups1997[sex,agegroup12],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup12],Populationby5yearagegroups1997[sex,agegroup13],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup13],Populationby5yearagegroups1997[sex,agegroup14],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup14],Populationby5yearagegroups1997[sex,agegroup15],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup15],Populationby5yearagegroups1997[sex,agegroup16],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup16],Populationby5yearagegroups1997[sex,agegroup17],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup17],Populationby5yearagegroups1997[sex,agegroup18],Populationby5yeara#~#linint(Populationby5yearagegroups1997[sex,agegroup18],Populationby5yearagegroups1997[sex,agegroup19],Populationby5yeara#L7L<< 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""  \ L *L"L \  < \ "< OSkilled Labor Force:6 C%Urban Economy:6 B#Rural EconomyJF uV&Rain and Water InfrastructureB? yU$ Rain and Soil Humidity u  Double click on text for more information or scroll through the model by hitting Page Up / Page Down. 0 Developed by the Population Project at the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria S Financial Support by the European Commission, DG VIII - Directorate-General for Development (Contract Number B7-6200/96-18/VIII/ENV)  P(B@  Copyright 2001, IIASA ;Sdq~H7L64 44#,Model Guide s` Double Click on underlined topics for more information or scroll through the model by hitting Page Up / Page Down.^Y 1 *TO EXIT VENSIM SELECT EXIT FROM THE "FILE" MENUB@ a0POPULATION AND HIV/AIDS2. 2 WATER20 HECONOMY>: <  MODEL DESCRIPTION>: @ RUNNING THE MODELB> N ADJUSTING SCREEN SIZE62 UQEDUCATION84 xaLABOR FORCEJE SKILLED LABOR FORCE AND WAGE63 VFRONT PAGE*( j :7 gINITIAL INPUTS| #.9DOZep{  +6ALZhv*5@NH7Lss^:7 T-#,Initial Inputs*(   *( l"I  *( O  *( _r  *( >f  *( \v  *( \F  *( E  *( ,a  *( |N  *( L)c  *( =>  *( 5o  *( &_  *( a]  *( K  *( \)h  *( C{  *( |j  *( \I&  *( ~X  *(  *( x\P  *( |=r  *( ,yW  *(   *( l   *( yG  63 }:Population61 ~8HIV/AIDS62 Ty7Education20 2Economy*(   *( 4  *( !X  *( \ i  *( < {  *( lm  *( vO  *( "j  *( ;9t  *( ,"/j  *( !+Zf  *( H~  *( '{b  2. 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Times New RomanB@ d!~ Times New Roman*( 0! *( -( B@ !vr Times New Roman*( \i  L@   Times New Roman*( |S{  *( X  B@  Times New RomanB@  Times New RomanB@  !h Times New Roman*( l} *( <$-- B@ ! Times New Roman.) 0;s B@!5 Times New RomanB@d!5 Times New Roman*( 05! *( J  B@  Times New RomanB@ !i Times New Roman"    2. CQ#@,Water*( >,4   }-*( o  ""  g *( <3 *( ( *( ( 'w*( ( )w #4*( ( , #*( {;e  *(  obZ  *( K/  >; ^Scenario variables*( |#  2+#>; |NmBack to Front Page>< |,mBack to Model Guide*( f<  6c*( L cs  8o*( S<  :P*( < '_  < .K*( #  >+#*( x( @hDP &7J]H7Lmrm T1In order to adjust the model to fit your screen, follow these steps:B> #,Adjusting Screen SizeJH [ 1. Click on "View" on the Menu.JG R 2. Select Zoom > Fit to Screen>< KBack to Model Guidex (8FH7Ll>:  $Model Description:5 )# $Focus Issues>< mBack to Model Guide63 ~s$Time Scale ;: For more detailed information, see the Executive Summary on Mozambique, or the User's Manual on the CD-ROM.| GeH7L aThe 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 \"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 Description:5 U9#,Focus Issues@ Yr"1CVetH7Lvv*(   I 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_ 1V Below is a flow diagram of the structure of the model.FB 0 Back to Model Description*( |O@@*( lWL@@*( <H@@*( ,}J@@*( LyH2@@*( \bF@@@"  @F@@"" @ @ @z*( SN@@" @*( X JF T1Population and HIV/AIDS Model:8 US'Education ModelFC R+Labor Force by Skill ModelJG 'RSkilled Labor Force Wage Model:6 }O/Urban Economy:6 NI0Rural EconomyNJ [V0Rainfall and Water InfrastructureFC kJJ0 Rainfall and Soil Moisture>: (#,Model Description(u >~ CH7Lx>: _G#,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.>< IBack to Model Guide y=A For more detailed information, see the Executive Summary on Mozambique, 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 !3H7LA^Y  The time scale of the model is set to 1997-2020.FB  Back to Model Description63 4!,Time Scale( ;K[H7Lj 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 $#,The Case StudyH7Lbpbpp:lG?|J ## %'@'@%'@'@%'@'@ )),.0258",1##########################~#y#t#o#j#e#`#[#V#Q#L#G#B#=#8#3#.#)#$##### #############################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? D0?@D0?`D0?D0?D0?D0?D0?D0? D0?@D0?`D0?D0?D0?D0?D0?D0? D0?@D0?`D0?D0?D0?D0?D0?D0? D0?@D0?`D0?D0?D0?D0?D0?D0? D0?@D0?`D0?D0?D0?D0?D0?E0?E0? E0?0E0?@E0?PE0?`E0?pE0?E0?E0?E0?E0?E0?E0?E0?E0?E0?E0? E0?0E0?@E0?PE0?`E0?pE0?E0?E0?E0?E0?E0?E0?E0?E0?E0?E0? E0?0E0?@E0?PE0?`E0?pE0?E0?E0?E0?E0?E0?E0?E0?E0?E0?E0? 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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 $1697. The ratio of 1995 to 1997 dollars was .83 calculated with WB data. Month&The initial time for the simulation.& The last time for the simulation.The frequency with which output is stored.&The time step for the simulation.?`F̬??@@@@@@@AA A0A@APA`ApAAAAAAAAAAAAAAAAABBB BBBBB B$B(B,B0B4B8BB`e>T>>T?m?.??????fff?<8A> @B>G)\=333A>LC@dC A33?zE=C ףTA>x@C33?@??????????????????????????????????????????????????????????????????????333?@@ A?Q=LA(>LC@4B"=lg>Dl>/]>p=>#=Q=D?@?{.>>>>>>>>>>>>>>>>>>>>>>>>>>\!G(\>)\=>k>>Q== ף=33SA(>x@pAL=,A>LC@EC<33+A>LC@'CL=AA>LC@B ףLC@ C?ff?<;];n;<Rr?r?r?=>;qa;O;'; r?r?r?)\>QAQ>x@CQ=HA ף>GUU@C>I@??>??>H>?u=ff>Aq=>LC@C@{DBOs3\@X@=?>8{-0#3? QKNKOQUYc }Hm~Q`(4jQH@8H@<H@@H@DQ wsGw w'£/8 £AD5GJ5MP5SX5]_ waePimzquzy}z7L@DD D@D`DDDDDD D@D`DDDDDD D@D #;;j<<㥛>ё>->>=,>DD@EL=L=L= #;;j<<㥛75? #;k;|;HP;xz%>>:>?L?OW?9d?Nq???W<>>/i>Q? c?r?|??? #;;j<<㥛 ><>6 ? #;k;|;HP;xz%`P>L>L>L>L>L>DDD D@EDD@E)\>{.>{.>DD@E ?ff&?ff&?DD@E(\?fff?fff?DD@E(\?fff?fff? DDD@D D@EL=L=L====DDD@EB`e\??\B?zT?fff?33s???D E@E\@ff@ff@DD@E½@ff@ff@D@D E= w@ff@ff@D$DD@D E= w@#X@ .@ff@ff@D@E>>DDD@Eu=u=u=u=DDD@E>>>>DDD@E333????DDD@E@?L???///---\\\ :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:vaccine2005-50.vdf 1:novaccine.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:mozinputenglish,climate 18:nationalsens.vsc 20:nationalsens.lst 15:0,0,0,0,0,0 19:5,0 27:0, 4:Time 5:alpha[BASIN] 24:1997 25:2020.01 26:2020.01 6:Ag 6:age group5 6:age group6 6:age group7 6:age group8 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: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