i)e em6erw /lfjf _su_~~~~0 A A HA 1~ Contents Table des matieres Indice 3 Introduction 3 Introduction 3 Introducci6n 4 Population of 207 countrics and 4 Population de 207 pays et territoires 4 Poblaci6n dc 207 paises y territorios territories 7 La population 7 Poblaci4n 7 The people 8 Statistiqucs sociales 8 Estadisticas sociales 8 Social statistics 10 Taux de croissance de la population, 10 Tasa de crecimiento de la poblaci6n, 10 Population growth rate, 1985-92 1985-92 1985-92 1 1 Life expectancy at birth, 1992 1 1 Esperance de vie a la naissance, 1992 1 1 Espcranza de vida al nacer, 1992 12 Total fertility rate, 1992 12 Indice synth6tique de ftcondite, 1992 12 Tasa de fecundidad total, 1992 13 Infant mortality rate, 1992 13 Taux de mortalite infantile, 1992 13 Tasa de mortalidad infantil, 1992 14 Child malnutrition, 1985-92 14 Mallnulrition chez les enfants, 1985-92 14 Malnutrici6n en la ninez, 1985-92 15 Illiteracy rate, 1990 15 Taux d'analphab6tisme, 1990 15 Tasa de analfabetismo, 1990 16 Female labor force, 1992 16 Les femmes dans la population active, 1 6 Fuerza de trabajo femenina, 1992 17 The economy 1992 17 Economia 18 Economic statistics 17 L'economie 18 Estadisticas econ6micas 20 GNP per capita, 1992 18 Statistiques economiqucs 20 PNB per caipita, 1992 21 GNP per capita growth rate, 20 PNB par habitant, 1992 21 Tasa de crecimiento dcl PNB per 1985-92 21 Taux de croissance du PNB capita, 1985-92 22 Share of agriculture in GDP, 1992 par habitant, 1985-92 22 Proporci6n de la agricultura en el PIB, 23 Share of exports in GDP, 1992 22 Part de l'agriculture dans le PIB, 1992 1992 24 Share of investment in GDP, 1992 23 Part des exportations dans le PIB, 1992 23 Proporci6n de las exportaciones en el 25 The environment 24 Part de l'investissemcnt dans le PIB, PIB, 1992 26 Environmcntal statistics 1992 24 Proporci6n de la inversi6n en el PIB, 28 GDP output per kilogram 25 L'environnement 1992 ol'ener-gy used, 1991 26 Statistiques sur 1'environnement 25 Medio ambiente 29 Annual water use, 1970-89 28 PIB par kilogramme de ressources 26 Estadisticas ambientales 30 Annual water use per capita, 1970-89 6nergetiques consomme, 1991 28 PIB por kilogramo de energfa 31 Forest coverage, 1989 29 Consommation d'eau annuelle, consumido, 1991 32 Change in forest coverage, 1980-89 1970-89 29 Uso anual de agua, 1970-89 33 Technical notes 30 Consommnation d'eau annuelle 30 Uso anual de agua per capita, 1970-89 36 The Wo-ld Banik par habitant, 1970 89 31 Cubierta forestal, 1989 31 Couvert forestier, 1989 32 Variaci6n en la cubierta forestal, 32 Variation dCi couvert forestier, 1980-89 1980-89 35 Notas t6cnicas 34 Notes techniques 36 El Banco Mundial 36 La Banque mondiale THE WORLD BANK ATLAS 1994 Wahnto,DC. 1 The colors, boundaries, denominations, and clas- Les couleurs, fronti&rcs, appellations et classifica- Los colores, las fronteras, los nombres y las sifications in this Atlas do not imply, on the part of tions figurant dans cet Atlas n'impliquent pas de la clasificaciones que aparecen en este Atlas no the World Bank and its affiliates, any judgment on part de la Banque mondiale et de ses institutions denotan, porparte del Banco Mundial y sus afiliadas, the legal or other status of any territory, or any affili6es qu'elles aient porte unijugemcnt sur le statut juicio alguno sobre la condici6n jurfdica o de otra endorsement or acceptance of any boundary. juiidique ou autre d'un territoire quelconque, ni especie ci ninguno de los territorios, ni aprobaci6n qu'elles aient reconnu ou accepte une frontiere quel- o aceptaci6n de nintguna dc tales fronteras. The Eckert IV projection is used for all maps. It conque. maintains correct areas for all countries but to some En todos los mapas se ha utilizado la proyecci6n extent distorts shape, distance, and direction. Les planisph&res ont ete etablis selon la projection Eckert IV, que permite mantener las superficies co- Eckert IV qui donne une reprcsentation exacte de la rrcetas de los paises, si bien a costa de algunas Copyright ( 1993 superficie de chaque pays, moyennant quelques dis- distorsiones en cuanto a configuraci6n, distancias y International Bank for Reconstruction and torsions dans les contours, les distances et les direc- orientaci6n. Development/The World Bank tions. 1818 H Street, N.W. Copyright (0 1993 Washington, D.C. 20433, lJ.S.A. Copyright ( 1993 Banco Internacional c Reconstrucci6n y F o9en- Banque internationalc pour la reconstruction et Ic to/Banco Mundial All rights reserved developpement/Banque mondiale 1 818 H Street, N.W. Manufactured in the United States of America 18 18 H Street, N.W. Washington, D.C. 20433, EE.UU. First printing Dccember1 993 Washington, D.C. 20433, U.S.A. ISBN 0-8213-2578-7 Reservados todos los derechos Tous droits reserves Hecho en los Estados Unidos de Am6rica Imprim6 aux Etats-Unis d' Amerique Primera impresi6n, diciembre de 1993 Premier tirage d6cembre 1993 Introduction Introduction Introduccion This twenty-sixth World Bank Atlas presents key Cette vingt-sixieme edition de l'Atlas presentc cer- En esta vigdsima sexta edicidn del Wnold Bank Atlas social and economic information organized tinder taines informations sociales et &conomniques cssen- se presentan datos sociales y cconomicos fundlamen- three headings, People, Economy, and Environment, tielles classees sous trois grands titres: Population, tales agrupados en tres tomas: poblacion, economia to emphasize the importance of these themes in the Economic, et Environnement, afin de souligner y medio ambiente. El objetivo de esta nueva development process. In this edition, new data have l'importance de ces themes pour le processus de organizacion es destacar la importancia de estos been introduced covering such topics as infant mor- developpement. Cette edition contient de nouvelles aspectos en el proceso de desarrollo. En Ia presente tality rates, prevalence of child malnutrition, net donn&s stir les taux de mortalite infantile, la edici6n se han incorporado nuevos datos y mapas primary school enrollment, and inflation. pr6valence de la malnutrition parmi les enfants. le sobre, por ejemplo, las tasas de mortalidad infantil, The Atlas this year covers an additional seven taux net de scolarisation dans l'enseignement la prevalencia de la malnutricion en la ninez, la economies-making a total of 207. Estimates for the primaire et ]'inflation. matricula neta en las escuelas priniarias y la economies of the former Soviet Union are prelimi- Cette annee, avec l'inclusion de sept pays inflacidn. nary, and their classification will be kept under suppl6mentaires.' Atlas couvre 207 6cononiies. Les Este aio el Atlas incluye otros siete paises, con review. estimations relatives aux 6conomies de V'ex-Union lo que el ndmero total se eleva a 207. Las es- Readers should also note that because of differing sovielique ont un caract&re preliminaire, et le classe- timaciones correspondientes a los paises de la an- statistical systems and methods of collection among ment de ces pays est sujet a revision. tigua Uni6n Sovietica son preliminares y su economies, the indicators are not always strictly Le lecteur doit egalement noter qu'en raison des clasificaci6n estara sujeta a revision. comparable in coverage and definition. Brief differences cntre Ies systemes et mcthodes de col- Los lectores deben tambien tener en cuenta que, descriptions of the data are included in the technical lecte de donnees satistiques employes selon les debido a los distintos sistemas estadisticos y difereni- notes, but more detailed notes are available in the economies, les indicateurs ne sont pas toujours stric- tes metodos de recopilacion de datos en unos y otros World Bank's annual publications, World Develop- tement comparahles dans leur couverture et leur pafses, los indicadores no son siemnpre estrictamenite Inent Report. Social Indiceators of De'elopment, and dfitnition. Les notes techniques lournissent de comparables en cuanto a cobertura y definicion. En World Tables. breves desciptions des donnees, mais des notes plus las notas tecnicas se incluyen descripciones sucintas detaillees figurent dans les publications annuelles de de los datos y. para notas mas detalladas al respecto. Ia Banque mondiale telles que le Rapport stur le se recomienda consultar otras publicaciones anuales leveloppement claims le mnonde, les Social 1idicators del Banco Mundial, como el Informe sobre el Desa- of Development (Indicateurs du developpement so- rr{ollo Muindial, los Social Indicators of Develop- cial) et les World I ables (Tableaux economiques par mnent (Indicadores sociales del desarrollo) y los pays). World Tables (Cuadros sobre la economia nmundial). Population Population, 1992, 1992 Lo of 207 Millions countries i Less than I and I -9 C-h territories 1 -4 50 -99 Population No darnc de 207 No dati pays et territoires Poblacio6n de 207 'tor J oov paises 37 C_ territoriosVezu / W e OabrafHle(rt \ J~CoOmbr W d'$i~~~ ~ ~~~~~~Tl, _M 4 w _ 7 vardTsbapo ~Cgr ~~~~~~~, .-.-.-'........................................ - ne~ 4' .:J, F,3SD F FC. {--- S . ere FzrCF E C Xki P,M C Fl i CCFqCC M.m Nig PIErraLq'' r. F b9 Fr higr' 'Dhs9 qtrfa ' rrn --' w g ; ) ll,alb/ld xilam o , -a.fGX4;[ttE . .w m r)ID 7}....F * RI- M 6JDss/i ,> NOW Hl~ ~ ~ ~ ~~-C 4C .r jIr ., F,M - ,CC f 3 r, r- R'f.aa' ''Nrbw \ ,a , R" bO^' ' MWC '. AbCC I vJ Mg-rF F V ' t ~~~~~CF F -~F ( - / The people La population Poblacion Despite progress over the past generation. more than Bien que le dernier quart de siecle ait ete marque par A pesar de los avances logrados en el curso de las I billion people still live in acute povcrty and suffer d'ind6niables progres, le mondie compte cncore plus riltirnas generaciones, todavia hay imas de 1.000 mi- grossly inadequate access to the resources educa- de I milliard d'ctres humains qui vivent dans la hlones de personas que viven en condiciones de suma tion, health services. infrastructure, lanid, and misdre etq ii n'ont luetrers insuffisamnnient aceds aux pobreza y sofren de un acceso totalliente irisuficiente credit-reqttircd to give thcni a chance for a better ressources-education, services de santc. infrastruc a los recursos y servicios de educaci6n, salud. in- life. ture, terre et credit-qui leur permettraient de vivre fraestrmctura, tier-a y credito que necesitarfan para The burdcn of poverty is sprcad unevenly- mieux. poder disfrutar de un mejor nivel de vida. among the regions of the developing world, among Le tardeau de la pauvrcte est in6galcment reparti La carga de la pobieza esta desigualmeinte dis- countries within thosc regions, and among localities entre regions du monde en developpement. entre tribuida entre Las regiones del mundo en desarrollo, within those countries. Nearly half of the world's pays a l'intdricur de ces r6gions et entre localites a entre los pakses de esas regiones y entre las distinlLas poor live in South Asia, a region that accounts for l'interieur de ces pays. L'Asie du Sud compte pres localidadesdeesospaises.Casilamitaddelospobres roughly 23 percent of the world's population. Sub- de la moitie des pauvres cu muoncIe pour One popula- del munLdo viven en Asia Meridional, regioj6 a la que Saharan Africa accounts for a smallcr, but still highly tion qui reprcsente environ 23 % de celle du monde. corresponde alrededor del 23% de la poblacion mun- disproportionate, share oi'global poverty. L'Afi-ique subsaharienne supporte une part plus dial. AfricaalSurdel Sahara contienieuo poureentaje In addition, national and regional averages, often faible, mais neanmoins fortement disproportiounte, menor. aunquc tambien altamente despropor- had enough in themselves, mask appallingly low life de la pauvrcte niondiale. cionado, de la pobreza mulndial. expectancy and educational attainment among the En outre, les moyennes nationales et regionales, Ademds, los promedios nacionales y regionales, poorest members of society. souvent assez mauvaises en soi, riasqueiti des ya de poI si basLanie iialos a nieludo. ocultan riiveles 'I'his is becausc the weight of poverty falls most niveaux d'esp6rance de vie et d'instruction effroya- abismalmente bajos de esperanza de vida y heavily on certain groups. Women in general are blement bas parmi les 6lrirents Ics plus pauvres de aprovechamiciito educacional entre los isiemubros disadvantaged. In poor households they often la societe. m;s pobres de la sociedad, shoulder more of the workload than men, are less Celaestd2aufaitquele poidsdelapauvret6se fait Estosedcbeaqueelpesodelapobrezariecaecon educatcd, and have less access to remunerative ac- plus lourdecnent sentir sur certaines categories de mayor fuerza en ciertos grupos. En general, las tivities. Children, too, suffer disproportionately, and population. Les femines, err general. sonlt defavorises. niujer-es tienen ona condicion desaventajada, en los the future quality of their lives is compromised by Danslesmcnagespauvres, elles font souve.ntun volume hogares pobres. con frecuencia soportan una carga inadequate nutrition, health care, and education.lThis de travail superieur ii celui des hoirmes, clles sont de trabajo nlayor que los lioriibres v tierieri un nivel is especially true for girls: their primary enrollment moins instruites et elles ont moins facilement acces de educaci6n mds bajo y menos acceso a actividades rates are less than 50 percent in many African A des activit6s rrmundr6es. Les enfants, eux aussi, remuneradoras. TambiCulosoifios suf-en enmedi(la countries. sont proportionnellement plus touches et desproporcionada, y la calidad futura de sus vidas The essential task of development is to provide l'insuffisance de nutrition, de soins de sante et peligra a causa de niveles deficientes de nutrici6n, opportunities so that these people, and the hundreds of d'6dueation dont its souffrent compromet la qualite ateneion de la salud y educacion. Esto es asi especial- millions not much better off, canr each their potential. future de leur vie. Ceci est surtout vrai des filles, dont mirente en el caso de las nifias; en muehos paises les taux de scolarisation primaire n'atteignent pas africanos, las tasas de matricula primaria femenina 50 % dans beaucoup de pays d'Afrique. son de menos de 50%. Donner a ces populations et aux centaines de Proporciotiar oportunidades a fin de que esas millions d'autres qui ne sont guere mieux loties la personas -y los cientos de millones cuya situaci6n possibiIite de se realiser pleinemenlt. telle est la taehe no es mucho mejor- puedan hacer realidad todo su essentielle du developpement. potencial es la empresa eseocial del desarrollo. 7 Thze people Populaton 7loral 1rifant Femnale Population Total Infant Female Lif, fertility nsorrality Childmtel- Pri roay labor L ife terfility mortality Childntral- Pr imiary labor Growth expectanry rate r-ate nutrition/la schtool lliteracy for-ce Growth expectancyp rare rate nuotraItn /a school Illiter-acy fitare, coae at birth (birhis per rper 1000 (% ancler- enrollment rate (% of rate at bietht (birthts per (per 10(10 (% antder- entrollmtentt rare (% of (0110) (% P.a.) (years) v,otrtar) live. hirths) veight) 1% net) t%) total) (000) (% p a.) (years) -oman) lire birtht) weight) (% net) (%/) total) Economny I1992 1985-92 1092 1902 1992 1985-92 1990 1990 1992 Economyt 1992 198-5-92 1992 1992 1992 1985-92 1 990 1990 1992 Afghanistan 21,558 2.5 43 6.9 162 . .. 7 1 9 Dominican Rcpublic 7.321 1.9 68 3.0 53 10 ..17 16 Albania 3,338 1.7 73 3.0 28 .. . 41 Ecuadcht 11,028 2.5 67 3.6 53 17 ..14 19 Algeria 20,375 2.7 66 4.9 61 0 88 13 10 Egypt, Ai t, Rep. 54,805 2. 4 62 4.1 5 7 1I .. 52 1 0 Amrneican Samoa 39 1.5 -, . . .. . . . El Salvadlor 5,387 1.8 66 4.0 46 16 70 27 25 Andorrat 60 . ., . .. . .. . .. Equiatorial Guinea 437 2.3 48 5.5 116 -..50 40 AatgLtla 9,732 2.9 46 6.6 125 . .. 58 38 E-ritrea lb .... -. Atttigua and Barbuda 81 1.0 74 1.9 20 . - . . Estonlia 1,554 0.2 70 1,8 1 3 Argentina 33,099 1.3 7 1 2.8 29 . .. 5 28 Etlhiopia lb 54,790 3.4 49 6.9 168 28 37 Armienia 3,499 1.2 72 3.0 2 1 . .. . .. Faeroe Islands 48 ... .. Aruba 61 . . . .. . .. . .. Fiji 750 0.v9 72 3.0 23 .. 21 Australia 17,540 1.6 77 1.9 7 .. 97 9 38 Finland 5.062 0.4 76 1.9 6 ...9 47 Austria 7,906 0.6 77 1.6 8 .. 93 9 40 France 57,338 0.6 77 1.8 7 ..100 9 40 Azerbaijan 7,145 1.0 7 1 3.2 32 . . . . French G;uiinn 96 ... . Bahatnias, The 263 1.9 70 2.1 25 . .. . .. French Ftdyoesia 207 2.8 68 3.2 22 Bahrain 532 3.2 71) 4.6 30 93 23 10 Gabon 1,201 2.7 54 5.9 92 ...39 37 Bangladesh 112,832 2.2 53 4.3 101 67 65 6S 8 Gamnbia, The 929 3.2 'I5 6.5 132 ..53 73 40 Barbados 259 0.3 75 1.8 10 .. 97 .. 47 Georgia 5,493 0.3 73 2.1 17 Belaras 10,346 0.5 71 1.9 IS .. . .- Germany/c 811,553 0.6 76 1.5 7 ..87 * 39 Belgiutm 10,059 0.3 76 1.8 8 .. 99 .9 34 Gltana 15,824 3.3 55 6.1 81 27 ..40 40 Brceiz 200 2.6 69 4.5 41 . . . . Gibraltar 32 -.. .. BDrum 5,042 3.2 SI 6.2 110 5. 2 77 47 Greece 10,454 0.7 78 1.5 10to. 7 27 Bermuda 52 . .. . .. . .. . .. Greenland 58 -.... Bhutan 1,497 2.2 48 5.9 129 -. . 62 32 Grenada 91 -0.2 70 2.9 29 Bolivia 7,527 2.5 60 4.7 82 it 79 23 26 Guadeloupe 400 1.7 74 2.2 12 ... . 44 Bosnia and Herzegovinta 4,383 0.2 72 1.6 19 . ., . .. Gaant 1511 3.2 72 2.9 12 Botswana 1,360 3.4 68 4.7 35 91 26 35 Gkauteinala 9,746 2.9 65 5.3 58 29 ..45 17 Brazil 153.850 1.8 66 2.8 57 7 88 19 28 Guinea 6.048 2.8 44 6.5 133 26 76 39 Brunei 273 3.2 74 3.7 7 . .. . .. Guinea-Bissau 1,022 2.1 39 6.0 147 ... 64 40 Bulgaria 8,952 0.0 71 1.7 17 .. 85 9 47 Guyana 806 0.3 65 2.6 48 ..4 25 Burkinua Fo 9,53 7 2.8 48 6.5 132 .. 29 82 46 Haiti 6.715 2.0 55 4,7 93 ..47 41 Burundi 5,818 2.9 48 6.8 106 31 .. 50 47 Hooiduars 5,418 3.1 66 4.9 49 21 ..27 20 Cambodia 9,010 2.7 51 4.5 116 . .. 65 37 HoaigKotng 5,805 0.9 85 1.5 6 .. .- Cameroon 12,245 3.0 56 5.8 61 14 75 46 33 Htingary 10,202 -0.6 70 1.8 16 ..90 45 Canvada 27,844 1.4 18 1.9 7 -. 96 9 40 Ice-land 261 1.2 78 2.2 6 ...9 43 Cape Verde 389 2.7 68 4.3 40 . .. 29 India 883,473 2.1 60 3.9 88 63 ..52 25 Central Africank Republic 3,166 2.7 47 5,8 805 .. 55 62 45 Indonesia 184,274 1.8 60 2.9 7409823 1 Chad 5,977 2.5 47 5,9 122 . .. 70 21 Iran, Islansic Rep. 59,791 3.7 65 6.1 I5rS 94 46 19 Chaninel Islands 147 1.4 77 1.7 7 . .. . .. Iraq 19,184 3.3 64 5.7 58 . 84 40 22 Chile 13,599 1.7 72 2.7 17 3 86 7 29 Ireland 3,536 -0. 1 75 2.0 8 ..88 9 30 China 1,166.144 1.5 71 2.4 38 21 100 27 43 Isle of Man 71 ...... Colomnbia 33,405 1.8 69 2.7 37 10 73 13 22 Israel 5,113 2.7 77 2.7 9 ... . 34 Comoros 510 3.7 56 6.7 87 .. . . 40 Italy 57,844 0.2 78 1.3 8 ...3 32 Cortgo 2,428 3.3 SI 6.6 114 24 .. 43 39 Janmaica 2,394 0.8 74 2.6 15 7 99 2 46 CostaktRia 3,135 2.5 76 3.1 14 * 87 7 22 Japan 124,318 0.4 79 1.6 5 .. 100 9 38 CIte dIvoire 12,841 4.0 52 6.6 94 12 .. 46 34 Jordan /d 3,949 5.8 70 5.2 47 6 ..20 II Croatia 4,773 0.4 73 1.7 12 -. . . . Kazakhstan 16,954 1.0 69 2.7 31 Cuba 10,841 1.0 76 1.9 it . 935 6 32 Kenya 25,838 3.5 59 6.4 66 18 3. 1 403 Cyprnts 715 1.0 77 2.4 10 .. 100 . 36 Kiribati 75 2.1 56 4.1 60 Czmch Republic 10,383 0.1 73 1.7 12 .. . . Korea, Dem. Rep. 22,614 1.9 71 2,4 24 ... . 46 Denmark 5,166 0.1 76 1.7 8 . .. 9 45 Kofea, Rep. 43,663 I.E 71 1.8 13 .. 100 4 34 Djibouti 465 2.9 49 6.6 III .. 37 . .. Kuawait 1,400 -2.3 75 3.7 14 ... 27 16 Dominitca 72 -0.3 72 2.5 18 . .. . .. Kyrgyz Republic 4,472 1.7 66 3.9 40 Not available. .9According to LUNESCO, illiteracy is less than 5%. Sec map for ranige estimate. Note: Figures in it-alics are for years other than those specified; the number 0dts 0.0 meaans zero or less than half the unit sbowtn and riot known mote precisely. 8 The people P.pidalion Total infant Female Population T,,i.l lqunt Female ife fei-tiliq, morrctliiy Chil(I nial- Primarv laboi L#e fe, ti I i ty moltalitv Child al- Primar.), labor Grourh expectancy rale rale nutrition la school lifit .... v fir,. Growth Pxpectancy ute 1-ate nutrition la school Illiteia,y j6rc rate t birth (births per (per 1000 (% under- enrollment rate (% ui rat, at birth (birthstoe, tper,1000 ('/, under- e-ollment -?e (% ,f (000) (% P...) (vea,,) ,oauai) tire births) weight) (% n't) (%) total) (000) (% P a ) (y-,,,) -ma.) five births) ,eighi) (% tiet) M total) Economy 1992 1985-92 1992 1992 1992 1985-92 1990 1990 1992 E, ononty 1992 J985-92 i992 1992 19Y2 1986-92 199( 1990 1992 Lao PDR 4,384 2.9 51 6.7 97 69 44 Russian ITilei-ation 148,920 0.5 69 1.8 20 Latvia 2.617 0.0 69 2.0 16 Rwanda 7,310 3.0 46 6.2 Ito 2b 65 so 47 Lebanon 3,7 81 2.3 66 3.1 34 20 28 Safi Maria(, 23 - Lesotho 1 86( 2-7 57 5.1 79 70 43 St, Kitts and Nevis 42 -0.4 71 2.5 34 Libena 2,719 33 55 6.2 131 61 30 St Lucia 156 1.9 72 3.0 17 Libya 4,873 3.6 63 6A 68 36 10 St. Vincent 109 0.9 71 2.5 20 Lithuania 3,754 0.7 70 2.0 14 86c Tome and Principe 121 2.3 68 5.0 65 33 Luxembourg 389 0.8 76 1.8 9 32 Saudi Arahia 15,909 3.5 69 6.4 31 - 62 38 8 Macao 487 3.0 73 2O 8 Sencgal 7,845 3.0 48 6.1 so 18 48 62 39 Macedonia, FYR 1. 2,172 1.1 72 2 2 29 Seychelles 69 0.8 71 23 16 Madagascu 12,384 3.3 51 6.2 113 64 20 39 Sierra Leone 4,354 2.5 43 6.5 143 79 33 Malawi 9,085 3.4 44 7 6 142 54 41 Singapure 2,814 1.8 75 I.S 6 100 32 Mataysia 18,610 2.5 71 3 6 14 17 22 35 Slovak Repliblic 5,346 0.4 72 2.0 12 Maldives 228 3.3 62 59 65 - Slovenia 1017 0.7 73 1.7 10 Mali 8,962 2.8 48 7.1 159 25 19 69 16 Solomon Island, 335 2.9 65 5.4 44 Malta 360 0.7 76 2.1 10 98 24 Somalia 8302 3J 49 6.8 127 76 38 Marshall Islan& 50 - Soud) Afric. 39,763 2.4 63 4.1 53 36 Ntwiiiiique 366 1.0 76 2.0 10 44 Spain 39,077 0 2 77 1-3 8 loo 5 25 Mauritania 2,082 2.7 48 6.8 117 - 66 23 SriLanka 17,396 1.3 72 2.5 is 37 loo 12 27 Mauritius 1,099 1.1 70 2.0 18 24 92 27 Sudan 26,587 2.8 52 6.2 99 73 23 Mayotte 79 3-7 467 2.3 69 3.2 37 Wo 5 30 Moxico 84,967 1.8 70 3+2 35 14 98 13 27 Swaziland 860 3.9 57 666 108 82 39 Microrw,,ia, Fed. Sts. 108 2.4 71 4 5 25 Sweden 8,707 0.6 78 2.1 6 100 t 45 Moldova 4,359 0.6 69 2.5 23 Switzerland 6,864 0+9 78 1.8 7 t 36 Mongolia 2,3 1 t 2.8 64 4.6 60 46 Syiian Arab Rep. IZ951 3+3 67 6.2 39 98 36 18 M-occo 26,262 2.5 63 4.2 63 11 55 51 21 Tajilcistan 5,634 3.0 69 5.3 49 Mozambique 16,565 2.7 47 6.5 147 41 67 47 I'anzania 25,965 3 0 51 6.3 115 25 47 47 Myanmar 43,718 2+2 60 4 2 72 32 i9 37 Thailand 57,992 17 61) 2.2 26 13 7 44 Nainibia 1,529 3.1 58 6.0 70 24 Tog- 3,899 3 7 54 6.5 F15 24 72 57 36 Nepal 19,892 2.6 54 5+5 99 64 74 33 Tonga 101 0.9 68 3.8 21 Netherlands 15,167 0.7 77 1.7 7 loo 31 Trinidad and Tobago 1,268 1.3 71 2.7 18 6 91 30 Netherlands Antilles 194 0.9 77 2.1 12 Tunisia 8,405 2.0 68 3+4 41 8 95 35 25 New Caledonia 175 2.1 70 2.7 17 Turkey 59,467 2+2 67 3.3 56 99 19 34 New Zealand 3,415 0-7 76 2.1 9 loo 44 Turkmenistan 3,852 2 5 66 4+5 55 Nicaragua 3,916 2.8 67 5O 53 52 41 75 26 Uganda 17,475 3.1 46 7.3 118 Niyer 8,171 3.2 46 7.4 123 25 72 46 L7kaire 52,118 0.3 70 1.8 18 Nigeria 101,884 2.9 52 59 84 36 49 34 Uiiited Arab Emirates 1,668 3.1 72 4.5 22 loo 7 Northe- Nla,iait. & 47 United Kingdom 57,701 0.3 76 1.9 7 100 t 39 Norway 4,281 0.4 77 1.9 8 98 41 Unitcd States 255,414 0.9 76 2.1 9 99 t 41 Oman 1,647 3.8 70 6.7 10 84 9 Umg.ay 'i, 131 0.6 74 2 3 ?( 7 4 31 Pakistan 119,347 3.1 59 5+6 95 40 65 13 LJzbekistan 21,285 2 4 6q 4.3 44 - Panama 2,514 2.1 73 2.9 21 92 17 28 Vanuatu 155 2 4 65 5.5 65 Papua New Guinca 4,055 23 56 49 54 7-3 48 35 Venezuel. 20,310 2.5 70 3+1 31 6 (11 12 28 Paraguay 4,519 2.9 67 4 3 47 4 95 to 21 Viet Na. 69,225 2.3 67 3.7 36 42. 12 41 Peru 22,370 2.1 65 3 3 52 11 95 15 24 Vkgi. Islands (LT.S.) 97 -1.4 75 2.4 20 - Philippines 64,187 2.3 65 3.5 40 34 99 10 31 Western Samoa 162 0.5 66 4.5 45 Poland 38,365 0.4 71 2.1 15 97 46 Yemen, Rep 13,128 4 4 53 7.4 106 30 62 14 Ponugal 9,843 -0.7 74 1 4 II 99 15 37 Yugoslavia. Fcd. Rep. 10,597 08 72 2,1 28 - Puerto Rico 3,573 0.8 76 2.3 14 Zaire 39,794 3 3 52 6.2 91 28 35 Qatar 524 6.0 71 4.4 26 87 8 Zambia 8,589 15 48 6.5 loh 25 80 27 30 Reunion 611 1.5 73 2.3 7 34 Zijiibibe 10,352 3 0 60 4.6 Ty 10 3 34 Romania 22,865 0.1 70 1.9 27 47 .. Malnutrition dma ,fer u, ;aiy vear from 1985 to 1992. d, Data for Jordan cover the East 13ank only. b. Data tor Eritrea, not yet disaggregated, are included iri Fthiopia. e. Former Yugoslav Republic of Macedoiiia. u. Data refer to the unified Ccmnauiy except fu- school cniollment and illiteracy+ 9 Population growth rate, Taux de croissance de la Tasa de crecimiento de la 1985-92 population, 1985-92 poblaci6n, 1985-92 The average annual percentage chanige in a Taux moyen annluel de variation de la La variacion porcentual anual media del country's populatiotn. The absolute change in a population. La variation absolue au cours ndmero de habitantes de un pais. La variaci6n year is the sum of births and immigrants minus d'une annee est egale a la somme des absoluta en un ailo es la suma de los the sum of deaths and emigrants. naissances et du nombre d'immigrants, moins [iacimiiientos y los inmnigranites menos la suma la sommc des d6ces et dLo iiumoibre d emigrants. de las defunciones y los emigrantes. 3~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Average ainnual K K ' chnge ' ( More than 3.0% ( , .-2.2%-3.0% 7 - 1.5% -2.1%f/ 1.0% - 1.4% w- ' Less than 1.0% N. _data Population GNP Population GNP per Average GNP per capita of groups of Shares of workl populalion living in economies growth rate, Nuumber oJ (US$000.000) (000,000) capOia (US$) economies with diJferent population growth with different population growth rates 1985-92 economies 1992 1992 1992 rates More than 3.0% 37 540,000 492 1,100 2.2% - 3.0% 59 807,000 948 850 1.5% - 2.1% 27 2,184,000 2,684 S50 1.0% - 1.4% 18 1,354,000 187 7,230 L__ Less than 1.0% 56 17.997,000 1,130 15,930 K No data 10 5,000 4 t,320) o s,oo0 t6,006 24,000 7 GNP per capita (US$), 1992 10} Life expectancy at birth, Esperance de vie a la naissance, Esperanza de vida al nacer, 1992 1992 1992 T he average number of year-s a uiewbor-ii baby Nombre moyen d'ann6es que vivrait un El numero de anfos que viviria un reciein would live if patterns of mortality prevailing nouveau-ne si les tendances de la mortalite nacido, en prornedio, si las tendeneias de for all people at the time of its birth were to observdes pour l'ensemble de la population au mortalidad prevalecientcs para toda la stav the same throughout its life. moment de sa naissance rcstaient inchang6es poblaci6n en el momento de su nacimienlo se tout au long de son existence. maituvieran constantes durante toda su vida. g 73 or mesre ) (ty F /~~~~~~~~~2) ~~~~~~~~~Less than 55 2 ,3, 4 l | ~~~~~~~~~~73 ormiore 5 8510))9( (,9 '~<- |~~~~~~~~~~N Nodt 3 ,0la,50 | |08,0t600a4001 --.0q. L~~~~~~~~~~~GV Pouain GN pe Aeag NP per capita(TS) o 9 grup ofSae olpptaiy iii neoime flu~~~~~~~~~~l Lif epetany unbeiof(U$00,00)(00,00) caim US) coomis it difcen lfe xpctncywih iffret if execatcy t 'N>l at birth, 1992 economies 1992 19(2 1992 at birth~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~- Less thait 55 39 173,000 611 280~~~'K 55 - 64 24 7455-06448 1 70 - 7 4 17950- 00 1,149>10E No data I~~~~N data 1500 10 1,0 2,0 GNP Population. (JNP per Average ~~GNP per capita of$) gruso hre9fwrdppuainlvngi2cnme Total fertility rate, 1992 Indice synitheique de f6conidit6, 1992 Tasa de fecuiididad total, 1992 The nuLimiber of children a woman will bear Nombre d'entfants auqucl une feiime doniera El n6rmero de hijos que unla inijel tendrd during her lifetime, given prevailing age- naissance pendant son existencc, calcul& sur la durante su vida, dadas las tasas prevalecientes specific fertility rates. base des taux observes de ftcondite par age. de fecundidad especflica por ecacles. Births pe'- wa 0h 00R.- W .... 7F4.0 - 4.9 Less thani 2 -4, , No data I C~~~~~~~~~~~NP Populationi (GNP per | Average GNP per capita of groups qf | Shares of wor-ldpopulation living itz econiomies |'fotal fertility Numnberof (US$000,000) (00(),000) tYapita (US$) econornies with differentfertilityrates withidifferentfertility rates |rate, 1992 economieS 1992 1992 1992 S or mnore 60 599,()00 X()8 740 _ 2.() - 2.9 47 7,933,000)( 2,067 3,840 : \/ LeI ss thaii 2 37 13,01(),000 98 9 14,490 11_ 0\\ |No data 1 3 6,000 4 J,510 | |0 8.00 6000 24,0600| ' ;0:- T- j L G2VPl9GNPp,, aptatu(US$),1IY92 -- _ I _-- 12 Infant mortality rate, 1992 Thuix de mortalit6 infantile, 1992 Tasa de mortalidad infantil, 1992 The number of deaths of children under one year Nomaibre de deces d'enfants de moins d'un El ntuniero de defuncioties de ninOs de mcnos of age per thousand live births in a givell year. an pour fiimlle naissances vivantes au courS de uin afio de edad en un ano detcrmintiado, por d'une annee donn6e. cada un mil nacidos vivos. I) 2~~~ZD .. t - .s, ,2 E ;'1.?' X K> f:: Deaths per 1, 00 Morethan 1 50 91 -150f/J 31 -90 > 10 or less No data Infant GNP Population CNP per Average GNP per capita of groups of Shar es of world population living in econorities mortality Niuober ot (US$000,000) (000,000) apita (US$) economies with dijferent infant rmortality with diffcrcntinPut nortahty ates rate, 1992 Crronofnies 1992 1992 1992 rates More than 150 3 2 L,7000 85 160 91 - 150 37 173,000 -542 320 31 - 90 62 2,657,00(0 3,367 790 11 -30 57 1,718.000 608 2,830 7_ 10 0or less 35 18.318,000 838 21,850L No daLa 13 6,001) 4 1,510 0 9.000 16,000 24.0(00 GNP per cpial,, I tLs,s), 1992 13 Child malnutrition, 1985-92 Malnutrition chez les enfants, 1985-92 Malnutrici6n en la niiiez, 1985-92 The percentage of children less than five years Pourcentage des enfants de moins cinq ans El porcentaje de ninos de menos de cinco anos old who are significantly underweight. dont le poids est sensiblement inferieur l la de edad quc presentan muy bajo peso. normale. - ~30 - 39% L I 20%29 L I(% J9%I s Less than li No data ' , ._~ ~ ~ ~~7 Child GNP Popuilation GNP per Average GNP per capita of groups of Shares o f wvorld populat.ion living in econonzies malntztrition. Nuinbet- of (US'$000,000) (00()!000) capita (US$9) economies with dijfierent levels of with differenit levels of ehild malnzutrition 1985-92 econornzes 1992 1992 1992 ciom/urto 40% ormrore 7 612,000 1.449 420_ ___ _ _ _ _ 30%r - 39% 12 129,000 33()1 ; 39 10[ 20% - 29% 19 203%00 29% 37 380, 10% - 19'/, 20 10% 0 - 49% Q 1'620- Less than 10% 11 620.000 241 2,570 No cNata 138 20,362,000 1a679 12,130 o 8.0()0 ta,00 24;000 Ch.ld (33/P Population GNP per Average GNP per capita (of, I Y92 14 Illiteracy rate, 1990 Taux d'analphab6tisme, 1990 Tasa de analfabetismo, 1990 The percentage of the population age 15 or Le pourcentage des jeuaie ages d'au atoims El porcentaje de Ia poblaci6n de 15 anios o mais o]der who csannot read anid write a short simple 15 ans incapah]es de lire et d'6crire. cn Ic que no es capaz de leer, cornprencdindolo, ni statement about cvetyday life. comprenant. un expose simple et bref de faits de escribir un relato breve y sencillo sobre la en rapport avec leur vie quotidienne. vida cotidiana. &4.tel 4 ' >- f g@~~60% or nire ,.) "'"r . % - 19% - No data a GS rP Population GNP per Average GNPp r capita of groups of Sltares of wor.ldpopulation living in economies Illiteracy 7eTLsmibet of (11SWO0,000O (OOO,OOOJ capita (USS,) economnies with different illitelYLcy levels witlz difjerent illiteraucv levels rate, 1990 ecf)no7nies 1992 1992 1992 60%/o or more 23 130,000 415 3o10 . 40% - 59% 23 651,0040% - 59 2294 (0 20%o - 39% 25 904,000 1,5S96 570 2 - 9 5% -19% 28 2,278,000 73 2910- Less nLessthan5% 30 17,739,000 893 19S S 85 No data 78 1,184,000 463 2.560 o 8.000 16000 24,000 r 0NPaperacapirte1 o992 - _ 29 60% or more 23 130,000 415 310 ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~~~~~~~~~~~~~~~~1 Female labor force, 1992 Les femmes daiis la population active, Fuerza de trabajo femenina, 1992 1992 The percentage of women in the labor force. Le pourcentage des femmes dans la population El porcentaje de mLIjeres en la fuer7a laboral. active. -a p~~~~~~~~~~1 I- -.t - - ' ; : Sh.are of total labor orce IN essthain25% 25% -29%j 7 3(0% - 36/c M1 / '%42% or more No data GNP Populalion GNP per Average GNP per capita of groups of Shares of world population living in economies Female labor Number of (US$000,000) (000,000) capita (US$) economies with different levels offemale with different levels offemale participation in the force, 1992 economies 1992 1992 1992 participation in the laborJorce labor force Less than 25% 33 761,000 640 - 1,190 l- 25% - 29% is 1,966,000 1,290 1,52(0 30% - 36% 33 2,997,(00 751 3,990 7%- 41% 31 14,864,000 880 16,890 ---- 42% or rnore 28 1,280,000 1,513 850 No data 64 1,019,0(0 370 2,750 o 0o0o 0 6,00N 24,00nt0 _GNP per ,pita {I SS), 1 992 16 The economy L'economie Economia Despite the vast opportuniities crcated by the tech- Malgric toot cc qui a ete rendu possible par les ApesardelasenorTnesoportunidadesquehancreado no]ogical revolutions of the twentieth century, more revolutions technologiques du XXe siccle. plus de I las revoluciones tecnoi6gicas del siglo XX, mds de than I hillionpeople, one-fiftihofthe world'spopula- milJiard ud'tres hImains, soit le cinqniidme de la l.ll0fmillonesdepersonas. csdeci-, iina qiintaparte tion, live on less than one dollar a day-- a standard population mondiale, ne disposent pas de I dollar par de la poblaci6n del planeta, subsisten con menos de of living that Western Europe and the tdInited States jour poiir vivre-niveatn de vie de l'Errope dc un d6lar al dfa, nivel de vida que ya se alcanzd hace attained two hundred years ago. l'Ouest et des Etats-Unis il y a deux cents ans. 200 afnos en Europa Occidental y Estados Unidos. The processes driving economilic developmentare Le developpemenit economique ob6it i des forces Los mecanismos que impulsa n el desarn-ollo by no means fully understood. During the past forty dont on est loin de comprendre plcinement lejeu. Au economico no se conocen con precision. En los years many developing counti-ies have achieved cours des 40 dernieres annees, beaunc(p de pays en tiltimos 40 antos han sido ntmierosos los pafses eni progress at an impressive pace. Many have achieved developpement ont progressc a tin rythme impres- desarrollo que han progresado a un ritmo notable. striking gains in healthi and edincation. Some have sionnant. Les progres de la sante et de l'dducation Muchos han avanzado considerahlemente en la es- seen their average incomes rise more than fivefold- - dans beaucoup d'entre eux ont &t propremeit remar- fera de la salud y la educacidon. En algtinos el ingreso a rate of progress that is extr-aordiniary by historical quables. 1Lc revenn moyen de certains a plis que medio se ha quintuplicado con creces, Io que repre- standards. So if nothing else were certain. we would quintuple-realisation sans eJgale dans l'histoire. De senta un ritmo de progreso extraordinario en kinow that rapid and sustained development is no sorteque,sir-iend'autren'dtaitcertain,noussaotrions comparacion con el pasado. Por consiguiente, aun- hopcless dream, but an achievable rcalily. qu'un developpement soutenu et rapide n'est pas une que no hobiera certidumbre respecto a ninguna otra Noniethieless, many countlies have donle poorly. chinidre, mais oln rl-vc rialisable. cosa, sabrianmos con seguridad (lire el desarrollo and in some. living standards have actually fillen Cela dit, pour beaucoup de pays, le bilan est rapidoyduraderonoesunailusidninalcanzable,sino during the past thirty years. That is why poverty maigrc. si maigre mcme qpoe le niveati de vie de iina realidad factible. remainssuchaformidableproblemandwhysubstan- certains a en fait baisse an cours dcs 30 dernieres No obstante. los resultados econ6micos ob- tial economic progress has yet to touch millions ol' anoecs. C'est pourquoi la paiivrct6 continue a poser tenidos en muchos paises han sido malos. y en al- people. un probleme d'une telle anipleur, ei c'est pourquoi gunos de ellos el nivel de vida de hecho ha bajado en The real incoimie gap between the industrial des millionis de pcrsonnes n'onit guidre encore did los dltimos 30 altos. Fsa es la ra7z6nide que la pobre7a countries and sore developing countries, notably touchees par le progrds economique. siga planteando un problema de gran magnitud y de those in East Asia, has iarroweed diamatically since ['iscart de revenoL reel entre les pays indilstriels et qure sean millones los scres humanos a los que el World War II. But the gap between the industrialized certains pays en developpernent, notamment ceux progreso economico nlo ha beneficiado todavfa. counbties and the developing countries of other d'Asie de l'Est. s'est singulidrement reduit depuis la A partir de la segunda guerra mundial se haL regionis has widened. Thc 1980s were a dil'ficult seconde guerre mondiale. Mais il s'est creus ecntre reducido extraotdinariamenteladifercnciaencuanto decade for oIost countries. particularly those ofLatiit les pays industriels et les pays en ddveloppcnit a ingreso real per cApita entre los paises industriales America, South Asia, and Sub-Saharan Afi-ica. d'auties regions. Les annoes 80 ont ete une decennie y algunas naciones cn desanollo, especialrnente de difficile pour la plipat ides pays, eii particulicr ceirs Asia Or-ieiital, per-o ein canbio se ha ariopliado Ia d'Afrique subsaharienne. d'Amerique latine ct d'Asie brecha entre los paises industriales y las iracionies en dui Sod. desan-ollo de otras regiones. El decenio de 1980 fue un perfodo diffcil para la mayoria de los pafscs, particLlarmente los de Amdrica I atina, Asia Mcridional y Africa al Sur del Sahara. 17 The economy GNP GNPp--apita Share of Shar, of Share of GNP GNP per capita Share of' Share of Share of (millions Average - WeaT agicultnre exports investment (millions Average 177a agric.1ture exports itivestni-t Of itiflalio. 8roth in GDP in GDP in GDP of injlation growth ih GDP in GDP iti GDP US$) t-ate M US5 US$ tate M (%) M M US$) rule (%) M US$ rute M (170 M M Economy 1992 1985-92 )991 1992 1985-92 1992 1992 1992 Economy 1992 1985-92 1991 1992 1985-92 1992 1992 1992 Afghanistan a Dominican Republic 7,611 34.4 940 1,040 0.3 t 8 29 23 Albania 15.2 b - 37 1 2 1 Ectiado, 11,843 49.6 1,010 1,07(l 0.6 t3 31 22 Algeria 48,326 18.4 1,990 1,830 -2.0 15 27 28 Egypt, Arab Rep, 34,514 17.1 6tO 630 0.8 1 8 29 1 8 Anicrican Samoa c - El Salvador 6,283 17.7 t'090 1,170 0.9 9 14 16 Andorra c Equatorial Guinea 146 -0.4 290 330 -0.3 50 38 18 Angola -0.8 b 43 12 Eritrea /f -- a Aiitigua and Harbtida 395 5.9 4,720 4,870 1.1 4 Estonia /d 4,297 23.7 3,970 2,750 3.0 15 33 25 Argeiitina 200,282 495.7 3,970 6,050 0.5 6 7 17 Ethiopia!f 6,206 3.2 120 110 -2.0 48 7 9 Armenia Id 2,719 33.6 1,930 790 -8.2 Faeroe Istaftds c Aruba c Fiji 1,510 5.2 1,920 2.010 2.6 is 55 13 Australia 299,323 5.2 17,120 17,070 0.7 3 18 19 Fiiiland 116,309 5.1 23,930 22,980 0-7 5 22 2( Austria 174,767 2.8 20,200 22,110 2.4 3 41 26 France 1,278,652 3.1 20,460 22,300 2.2 3 23 21 Azerbaijan /d 6,290 38.8 1,240 870 - 28 20 French Gmann c Bahamas, The 3,161 5.5 11,790 12,020 -1.2 French Polynesia e Baiiiaiii 3,690 (.2 7,150 - -1.7 1 119 22 Goboji 5,341 1.6 3,980 4,450 -2.1 9 42 27 Bangladesh 24,672 7.8 220 220 1.7 34 to t2 Ganibia, The 367 14.4 360 390 1.9 29 63 19 Barbados 1,693 4.3 6,650 6,530 0.6 63 19 Goorgia/d 4 659 33.7 1,780 850 40 9 Belarus Itt 30,127 41.6 3,280 2,910 - 47 34 Germany 1,846:064 2.9 20,510 23,030 2.2 1 24 23 BelgiLim 209,594 3.0 19,010 20,880 2.8 2 7.3 20 Ghaiia 7,066 31.2 420 450 1.2 49 16 13 Belize 442 3.2 2,180 2,210 6.3 20 71 29 Gibraltar c Benin 2,05g 1.2 380 410 -E5 37 23 13 Greece 5,106 16.5 6,420 7,180 1.1 23 1 8 Bermuda e Gre-hind e Bhutan 263 8.6 190 180 5.2 42 34 38 Grenada 210 5.2 2,300 2,310 4A 15 53 33 Bolivia 5,084 25-7 650 680 1.0 15 16 Guadelupe c Bosnia and Herzegovina a Guam c Botswana 3,797 12,9 2,580 2,790 SA 5 Guateinala 9,568 20.8 940 980 0.6 25 17 16 Brazil 425,412 731.3 2,920 2,770 -0.7 J1 10 18 Guinea 3,103 23.1 500 510 0.8 33 21 17 Brunei c Giiinea-Bissau 217 71.1 190 M 0.4 46 14 27 Bulgaria 11,906 30.7 1,840 1,330 -3.6 16 45 15 Guyana 2(,8 67.3 300 33D -5.4 41 32 Burkitia Faso 2,908 1.8 290 290 0.9 44 12 24 Haiti 2,479 7-7 380 -2.9 12 11 Burundi 1.193 4.3 220 210 1.0 54 9 20 Honduras 3,142 11.3 555 581) 0.5 22 29 26 Cambodia 200 Hong Kong Ig 89,274 9.0 13,580 15,38( 5.6 0 144 29 Caiiierooii 10,003 -0.6 860 820 -6.7 22 20 11 Efungary 30,671 18.5 2,750 3,010 -1.5 7 33 19 Canada 565,787 3.7 20,5 1 U 20,320 0.3 2 25 20 feeland 6,177 16.8 23,230 23,670 0.5 12 33 19 Cape Verde 330 8-6 7-50 950 1.8 13 21 26 India 271,638 9.5 330 310 3.3 32 10 23 Central African Reptiblic 11307 1.3 410 410 -14 44 12 12 Ind(inesia 122,825 8.8 610 670 4.7 19 29 35 Chad 1,261 -0.2 210 220 13 48 19 8 Iran, lslarnic Rep. 130,910 21.0 2,410 2,190 -1.4 24 17 27 Channel Islands e Iraq - -- b Chile 37,064 19.7 2,360 2,730 6.1 31 24 Irelaiid 42,798 2.4 11,15( 12, 1 00 5.0 10 62 19 China 442,346 7.5 370 380 6.0 24 2t) 34 Isle of Man c Colombia 44,555 26.1 1,250 1,290 2.4 16 19 18 Israel 67,658 20.3 12,110 13,230 2.3 29 23 Colooros 262 3.0 490 sto -2.3 40 16 20 Italy t,18(1,169 6-6 18,580 20,510 2.3 3 20 20 Congo 2,502 -0.3 1,040 1,030 -3.0 13 37 17 Jamaica 3,216 23.9 1,490 1,340 2.9 5 64 20 Coita Rica 6.201 18.1 1.970 2,OOD 2.6 is '49 28 Japan 3,507,841 1.4 26,840 28,220 4.0 2 10 32 C&te d'lvoire 8,655 -2.1 680 670 -5.7 37 34 9 Jordan /h 4,406 7.2 1,060 1,120 -7.0 7 43 32 Croatia b Kazakhstan /d 28,584 2,030 1,680 17 Cuba b Kenya 8,453 10A 340 330 0.6 26 2? 19 Cyprus 7,070 4.2 8,670 9,820 5.1 6 46 27 Kiribati 52 5.1 720 700 -1.1 24 - - Czech Republic 125,313 8-5 2,700 2,440 -5.3 6 58 25 Kore., Dem, Rep. - b Denmark 133,941 3.4 23,760 25,930 1.2 4 37 17 Korea, Rcp. 296,349 6.8 6,350 6,790 8.5 9 29 39 Djibouti 4.5 b 3 60 12 KuwaiL v .' 0 36 36 Dominica 181 M 2,440 2,520 5.1 26 54 27 Kyrgyz Republic Id 3,667 11.3 1,160 810 2.3 28 33 Not available. See map for range estimate. Note: Figures in italics are for years other than those specified; the iiumber 0 or 0.0 means zero or less than half the uiiit shown and not known rtioTe. precisely. 18 The economy GNlP GN'P per capira Share of Share of Shaire of GNPl GNPl per capita RaagSiharteuoef Shxorerotf I Sehsatrme onft (toil/iins Average RleaT agriculture exports invest,nent (millions Average Ra giutr xot tertn of inflation growtrh in CDP in. CDP in GDP of iniflation growth in GDP int GDP in GDP US $3 rote (IV) U/S$ IIS$ rate (Pr) (Pr) (IV1) M% US$) rote (IV) U1$ US5$ rate (IV) (%V) (IV) IV, Ecunrnrm 1992 1985-92 1991 1992 1985 92 1992 1992 1992 Economy /992 1985-92 2991 1992 1985-92 1992 1992 1992 Lao PDRK 1,104 30.1 220 250 1.8- 10 13 Russian Federation /d .397.786 13.6 3.470 2.680 1. 2 ..39 Latvia,d 5,080 43.8 3.920 1,930 -3.6 24 35 34 Rwanda 1,813 2.4 290 250 -2.8 41 6 1 6 Lebanon .. . . b .. 24 20 Sin Marino ... .r. Lesotho 1,090 13.5 570 590 (ItS8 1 1 19 78 St. Kitts and Nevis 181 8.8 3,780 3.990 5,3 9 47 46 Liberia _. . . a .. . . St. Lucia 453 3.6 2,700 2.900 5.2 14 73 Libya .. -2.7 .. c ... . St. Vincent 217 4 3 1.840 1,990 4.7 18 Lithuania /d 4,922 49.8 2.420 1,310 -2.7 2 1 .. 22 Sao Tom& and Ptincipe 44 33.4 400 370 - 1.8 29 24 57 Luixembourg 13.716 3.1 31.860 35.260 3.1 1 94 31 Saudi Arabia 126,355 1.5 7,900 7,940 1.3 6 413 19 Maca, .- 9,3 .. r . . . . Senegal 6.124 1.7 730 780 0.3 1 9 23 1 3 Macedonia, FYRi A. .. . b . .. . .. Seychelles 378 3.4 5,070 5,480 4.1 5 67 20 Madagascar 2,809 15.6 210 230 -1.7 33 1 7 1 1 Sierra Leone 726 73.3 200 170 0.0 37 26 1 2 Malawi 1,896 17.6 230 210 0.3 28 24 1 9 Singapore 44,315 2.7 14,140 15.750 5.9 0 174 41 Malaysia 51,917 2.8 2.520 2.790 5.7 8 78 34 Slovak Republic 10,249 7.6 2,200) 1,920 -7.0 6 28 25 Maldives 114 6.7 470 500 8.5 8 . . Sloveilia 12,744 ... 6.330 ..5 64 16 Mali 2,730 1 2 270 300 -1 9 42 14 23 Solomson Isands 237 11.2 700 710 2.7 54 28 Mal-ta 2.606 2.7 7,300 . 9.4 85 33 Somnalnia. 75.4 ..a ..65 10 16 Marshall Island, . .. . b . .. . ., Sonltb Africa 106,019 14.4 2,540 2,670 -1.3 5 25 16 Martiniqute .. . . c .. . . Spain 547,947 6.9 12.480 14.020 3.8 4 1 7 25 Mauritania 1,109 7.2 510 530 -(31 29 39 1 5 Sri Lanka 9,459 11.3 500 540 2.2 26 32 23 Mauritius 2,965i 9,0 2.380 2,700 6 3 II1 64 28 Sudan .. 50.4 .. . 29 5 13 Mayotere. .. . c .. . . . Sttrinamie 1,728 14.7 3,650 3,700 -3.2 11 27 16 Mexico 294,831 52.7 3.080 3,470 1.1I 8 14 23 Swaziland 930 12.7 1,130 1,080 6.4 15 77 20 Micronesia, Fed. Sts. .. . . b ... . .. Sweden 233,209 6.9 25,180 26,780 0.4 2 28 17 MoldovalId 5.485 14.0 1,700 1,260 -2.9 34 3 8 5 Switzerland 248,688 4.0 33,3710 36,230 1.1 835 27 Mongolia . . 19.4 .. b .. 30 30 1 5 SyriannArab Rep. 34,607 19.4 1.170 .. 0.0 30 29 15 Morocco 27,210 5.7 1,030 1,040 1.3 14 22 24 Tajiktstan /d 3,723 .. 690 480 .. Mo-rnabiqu. 1,034 48.1 80 60 -l 3 64 29 47 Tanzania!tj 2.561 25.2 120 110 1.4 62 1 7 19 Myatataiar .. 25.6 .. a .. 59 2 4 Thailand 106,559 5.8 1,6501 1.840 8.3 1 2 36 40 Natmibia 2,502 10,2 1,520 1,610 LI (0 38 14 Togo 1,575 2.3 410 400 -1.5 36 32 17 Nepal 3.285 10.0 180 170 2.1 52 20 22 Touga 136 10.4 1,290 t.330 -0.1I Netherlandi 312.340 1.5 18.840 20.590 2.1 4 54 221 Trinidad and Tobago 4,995 5.2 3,790 3,940 -3.0 3 44 19 Netherlands Antilles . . . c ... .. . Tunisia 14.615 6.6 1,500 1.740 2.1 1 8 38 26 New Caledonia .. . . e .. . . , Turkey 114,234 54.7 1,-390 1,950 2.7 1 8 22 19 New Zealand 41.186 6.6 12.360 12.060 -0.4 8 29 17 Turktnenistanf 4,9A1.t140I,70" NtcaTagua 1,325 2533 8 400 410 -7.8 30 16 17 Uganda 2,949 91.1 170 170 1.8 57 6 14 Niger 2,466 -1 6 310 300 -1.5 37 14 5 Ukraine Id 87,025 11.5 2,190 1,670 .. Ntige,ria 32.944 28.0 350 320 3.4 37 39 18 United Arab Erarrates 37,068 2.4 22,180 22.220 0.0 2 69 22 Northern Mar-iana Is. . . . b . . . United Kinigdom 1,024,769 6.0 16,600 17,760 1.5 2 24 16 Norway 110.465 4.5 24.090 25.800 0.2 3 45 19 Uotted Stales 5,904,822 3.7 22,340 23,120O 1.1 2 1 1 15 Oman 10,683 1.1 6,1 40 6,490 1.0 4 .. 17 UJruguay 10,444 78.6 2.880 3,340 2.9 1 1 22 13 I'akistan 49,-4/I 8.6 400 410 1.7 26 17 1 9 Ilzcbekistat t/d 18.377 61.7 980 860 ..36 ..26 Pana8ma 6.133 1,3 2.130 2,440 -1.2 9 3 1 19 Vanuatut 189 6.3 1,180 1.220 0.5 20 46 44 Papna New Guinea 3,846 4.] 930 950 -0 1 25 4 8 2 1 Veneznela 58.901 35.8 2,720 2.900 1.1 5 26 2 3 Paraguay 6,038 28.5 1,270 1.340 1.0 24 23 23 Viet Nam .,. .a Pent 21.272 736.8 1.070 950 -4.3 8 10 16 Virgin Islands (IU.S.) . 3.3 ..e. Philippines 49.462 10.1 740 370 1.9 22 29 23 Western Samoa 1 53 10.6 960 940 -0. 1 40 3 1 42 Poland 75.268 124.2 1,700 1,960 -1.9 6 1 9 22 Yemen, Rep. . 6,746 . 520... 21 16 2 1 Poltrgal 73.336 13.6 6,180 7,450 5.5 8 .5 32 Yugoslavia, Fed. Rep. .. . b . Puerto Rico 23,603 2.9 6,350 6,610 1 9 1 . 1 6 Zaire .. 74.2 ,.a .. I I1 Qatau 8,511 .. 15,040 16.240 -6.9 . .. Zambia 2,580 69.1t 420 290 -2.1 9 26 28 Rettnlon .. . . c . .. . .. Zimbabwe 5,896 17.6 670 570 -0t6 20 35 22 Romania 24.865 311.9 1.41311 1,090 -5.5 20 28 28 a. EsLiniated to be low-income 15675 or less). b. Fstimated to he lower-middle-income (S676-$2,695). c. Estimated lo be apper- g. References to GNP relate to GDP. h. Data for Jordan cover the East Bank only. i. Fonner Yugoslav Republic of Maicedonia. mridtlleincoree l.8,696-SX.34551. d. See the introduction. c. Estimated to be high-income ($8,356 or more). f. Data for Eritrea. j. Data far UNP and GNP per capita cover mainland Tanzania only. not yet disaggregated, are included in tathiopta. 19 GNP per capita, 1992 PNB par habitant, 1992 PNB per capita, 1992 A COLIntl-N's gross national product divided by Produit national brut divise par le noinbre El producto nacionial but)o de un pais dividido its population. d'habitanjts. por so n6mero de liabitantes. UJS lolIari n Low 1, $675 or less -Lower-middle - $676 - $2,695 Upper-middle L $2.696 -$8,355 $8.356 or more 4Pf | No daia -K--- GI-P Population GNP per Average GNP per capita of groups of Shares of world population living in economies CNP per capita, NU1o7ber of (US$000,000) (000,000) capita (US$) economies with different levels of GAIP with df(erent levels of GVP per capita 1992 economiies 1992 1992 1992 per capita Tow 57 1,139,000 3,2 15 350 Lower-nmiddle 69 1,614,000 949 1.701) Upper-Middle 43 1,837,000 451 41070 High 38 )8,297,000) 828 22.100 -.s World 207 22,887,000 5,443 4.20_ 020,000 6.000 24M00 ___________ ____________ _________ jGN PIp,'r (aplta ( %,1992 20 GNP per capita growth rate, Taux de croissance du PNB Tasa de crecimiento del PNB per 1985-92 par habitanit, 1985-92 capita, 1985-92 The average annual percentage change in a Variation annuelle iiioyeiine. en pourcenitage. La variaci6n porcentual anual media del PNB country's real GNP per capitai. dcit PNB rdel par habitant. per cdpita real de un pais. F-~~~~~~~~~~~~~v Aver0ge aonnoal change ~ Less thdan Mc 2 0% - 0.9% Li2.0% - 2.9% , 3.0%ormrore No data GNP per capita GNP Popuilation GNP per Average GNP per calpita of grouips of Shares oJ world population liviing in econtomies growth rate, Atunber of (US$000,000) (000.000 capita (US$) economies with different rates of groivtk of with different rates of growth of GNP per capita 1985-92 econonmics 1992 1992 1992 GNP per capita Less thai OC,0% 51 1,1(8,000 661 1,630 N 1 ---- E- 0% - .%24 1.681,000 226.420 1.0% 0 1.9% 26 8,083,000 875 9,240) L - _i 2.0% - 2.9% 18 5.287,000 386 13.700 - 3.0% or more 31 5,903,t000 2,684 2,200 .12i ,0 No data 57 852,01)0 576 1,4801) &ii I6,DCO 4oOO2 GIp,capita (US$), /52 21 t Share of agriculture in GDP, Part de l'agriculture dans le PIB, Proporci6n de la agricultura en el 1992 1992 PIB, 1992 The value added in a country's agriculture Valeur ajout6e du secteur agricole, en El valor agregado en el sector agricola de un sector, as a percentage of gross domestic potircentage dii procduit interieur brut. pafs como porcentaje del producto intertio product. bruto. "a~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~J Shaire inGDP 30 rmore 20% -29% D~~~~ 10 - 3 9C/C 60% - 19% Less than 6% L No data Share of GCP Population GNP per Average GNPper capita ofgroups of Shares of world populatioi living in economies agriculture Nuinberof (US$000,000) o000,00O) ceapita (US$) economies with differentportions of GDP with differentportions ofjGDPcaomingfrom in GDP, 1992 economies 1992 1992 /992 comningfrom agriculture agriculture 30% or more 48 509,000 1,552 330 20% - 29% 32 890,000 1,638 540 10% - 19%/ 33 1,629,000 882 18950 6, - 9% 22 1,523,000 324 4,690 \ ., _ Less than 6% 38 18,229,000 910 20.040 ___ - No data 34 106,00() 139 760 S AX000 16,000 24,000 GNP pe t capita (US$), 1992 22 Share of exports in GDP, 1992 Part des exportations dans le PIB, Proporci6n de las exportaciones 1992 en el PIB, 1992 Exports of goods and nonfactor services as a Exportalions de biens et de services non Las exportaciones de hienes y servicios no percelntage of gross domestic produLct. tacteurs, en pourcentage du produit int6rieur atribuibles a factores como porcentaje del brut. producto interno bruto. 7 ~ . ->r 7-' s -r- = X>V Les t,a - I O,k 71 or - r9, 20% - 249% K25% - 34% 21, 35%c or more c L:No data t GNP Population GNP per Average GVP per capita f 'groups of Shares of world population living in econoinies Share of exporls Number of (US$000,000) (000,000) capita (US$) economies with differentportions of GDP with different portions of GDP comingfromn in GDP, 1992 economies 1992 1992 /992 comingfroin exports exports Less tlhan 10% 7 236,000 189 1,250 I0 ns- 19% 33 11.660,0(N) 2.101 5,550 - 20% - 24% 20 6,163,000 1,592 3,870 25% - 34% 33 1.818,000 665 2.73() _'1 35% or morc 55 2.214,000 392 5.650 1-'- ____ No data 59 796,000 505 1,580 0 8,000 6,000 24,000 GNPpf'1ia P- 5S,. 1992 23 Share of investment in GDP, 1992 Part de I'investissement dans le PIB, Proporci6n de la iuversi6n eii el PIB, 1992 1992 Gross domcstic investment as a percentage of Investissement intfricur brut, enl pourcentage La inversi6n iinterna brmta comalo porcentaje del gross domestic prodiuct. du produit int6rieur brut. producto interno bruto. ; 2 ' i 0 X ISK /9 f, '2~~~~~~~~~~~~~~~~~~ Share in GDP Less tlian 15% K15% - [9% I20%- 4 J 25% - 29% 30% or more - 7 No dala . Share of GNP Pop ulatiion GNP per Average GNP per capita of groups of Shares of world population living in ecolloinies investmuent Number of (US$000,000) (000,0(a0) capita ((IS$) economies with different portions of GDP with different portions of 7/~~~~~~~~~~. US dollars >( > .I Less tlan $1 / i" $1.00 - $2.40 7 $2.50 -$3.90 $4.00 - $5.90 . $6 or nore , F; No data - GDP output per GNP Population GN/P per Average GC,P per capita of groups of Shares of world population living in ecotioaties kilogram of Nmber of UJS$000, 000, (o00,Oor) capita (US$) econon2ies with different a?oufts of energy withi differen amounts of energy used fo7 every energy used, 1991 econol72ies 1992 1992 1992 usedfin- every dollar oj'GDP dollar of GDP Les's than $1 13 900.000 2,223 400 $1.00 - $2.40 36 1,711.00(0 870 1,970 $2.50 - $3.90 39 8,331,000 1,063 7,840 $4.00 - $5.90 26 4,729,00)0 337 14,0201 $6 or iore 41 6,266,000 531 11,810 No data 52 949.000) 420 2,260 8,0) 16.()0( 24,(6) G NPper'"pilsi(hJS.), i9J2 28 Annual water use, 1970-89 Consommation d'eau annuelle, Uso anual de agua, 1970-89 1970-89 A counitry's annuai waler use as a perceitage Consommation d'cau annuelle d'iun pays El corIsumo anual de agua de un pafs conio Of its internal renewablc water resources. exprini6e en pourcentage du total de ses porcentaje de suis recursos hictricos renovabics ressources en tan inten-sies renouclables. propios. S 2% -.39cr - a_/ - ~~~~~~~~~~~~~~~~~~2~ ~ ~ ~ ~ ~ ~~~~~~~~~I % Pecei 4f0% rmreal X > (3 No dat 2- Less~ ~ ~ ~ ~ ~~~~~~~$ tha$2 A0 - Y'" Annul GNP Populatin PNP per etAvernfge (NP per capita ofgroups of Shares of world population livinog inO econonies water use, Number of (US$00000) ) (000,000) capita (US$) economies with different use of internal with different ase oJ internal renl ewable water 1970-89 economuies 1992 1992 1992 renewable water resourees resources Less than 2%/, 59 1,056,000 1.017 1,040 2% - 9% 34 2,282,000 428 5.330 10% 19% 22 12,666.000 2,937 4,310 _ _-___ 20% - 39% 12 4,686,000 478 9,810 __ ___ 1 | 40% or more 15 1,136,()00 211 5.380 _, No data 65 1062,000 373 2,850 o 8,000 16.O()0 24,000 GNP perwcpta. (us$), 1992 29 Annual water use per capita, Consommation d'eau annuelle Uso anual de agua per capita, 1970-89 1970-89 par habitant, 1970-89 A country's annual water use, in a single Consonm-lation d'eau annluclle d'un pays, El conisutno anual de agua de un pafs en un year, divided by its population of the same calculee potir une ann6e donn6e, divisee par solo ano, dividido por su nmtero de year and expressed in cubic meters. la population de ce pays au couirs de I'annee habitantes en cl mismo afno y expresado en en question et exprimee en metres cubes. metros c6bicos. g9 I.(l();} r lllol e v .:N NN Cubic meters Less than 50 LI50 - 199 200 - 499 500 -999 7 Li1,000 or more No data Annual water usc GNP Populationz GNP per Average GNP per capita of groups of Shares of world population living in economies per capita, Number of (US$000,000) (000,000) capita (US$) economies with ditferent levels of water use with different levels oJ water use per capita 1970-89 economies 1992 1992 /992 per capita Less thani 50 38 133,000 349 380 | RMA 50(- 199 43 664,000 563 1,180 200 -499 34 3,63-5,000 1,856 1,960 500 - 999 26 9,502,000 1,564 6,070 ____ 1,000 orimore 18 7,943,000 743 10,690 No data 48 1,010,(00 368 2,750 o 8,000 16,000 24.00 GNPpe2 capita (US$), 1992 30 Forest coverage, 1989 Couvert forestier, 1989 Cubierta forestal, 1989 The percentage of total land area ihat is Superficie bois&e en pourcentage de la El porcentaje de la superlicie continental del covered hy forest and wocdlan&l. superficie totalc des terres. planeta que esta cLbierto de bosques y tierras arboladas. g:_ ~ ~ ~ *~ .~~ ~ ~~ ) iSl~ ~ ~ ~~~R o / ,rrd .- rX -~p > ps' \ --3 6W/,, or mnorc '1 , n S r _ / 3011, - 59/11' 15-% - 291, 10% -14% V Less than 10% I No data Forest GA'P Populalion (GNP per Average (GNP per capita oJ grouips of Shares of world population living in ecovtornies coverage, Numtber of (US$000.000) (000,000) capita (US$) economies withi differenttforest coverage with differentforest coverage 1989 economies 1992 1992 1992 60% or nolre 20 4,751,000 608 7,820 __I _ 30% - 59%o 50 9,503,000 873 10,890 15% -29%7 40 4.220,000 1,696 2.490 0-]14r, 15 2.208.000 1.450 1,520 Less than t0% 37 1,066,000 445 2,400 No data 45 1,139,000 373 3 00I 0 8 -ooO 16.000 74.-24,0*0 GNP per'pia (US$1.1992 3-f t~1t~ ~nVroriment Change in forest coverage, Variation du couvert forestier, Variaci6n en la cubierta forestal, 1980-89 1980-89 1980-89 I he pereentagc chan gc in f(rest area. 1e pourcentage de variation de la superticie 1 a variacion porcentul11 en Ia SLpelfiCee boisee. cubierta de bosques. _=_ 4 , _ ., 3 (3~ ~~~~~~~~~~~~~~~~~~~~~~~~~~1 f-V:XX~~~~~ ,2r2 2< > P Avera,ge an/faaua change J More than 0.2% : 0%-0.27 % q I / , 2 24' j -10.3% - 07.1o,'4 / -1.0% - -0.4% 4-..>J 4 L.ess than -1.0/ ,\ 7 , 4 El No data Change in Gl'P Population GN/P per Average (;NP per capita of groups of Shares of world population living in economies forest coverage, kunhber of (US$000,000) (000,000) Capita ((US$) economies with different percentage change with diferentpercentage change injorest area 1980-89 economries 1992 1992 /992 t forest area More than 0.2% 20 3,505,000 417 8,400 09/ - 0.204 62 5,615,000 676 8,300 -0.3% - -0.10 26 10.616.000 1,537 6,910 -1.0% - -0.4% 30 1.371,000 1,841 740 K\ Less than -1.0% 24 640,000 6((0 1,070 No data 45 1,139,000 373 3,060 b 8,()0 i6.000M 24,000 GNPpo, (apita (US$), 1992 32 Technical All information, derived from World Bank data files. Fo smooth fluctuatiotns in prices and exchange Other data issues diraws Uo data directly collected froiri riational statis- rates, a special Arlas method of conversion is used by Growth rates of inflation, population, and GNP per notes tica] offices and from other international agencies. the World Bank. This applies a convcrsion factor that capita are average annual growth rates computed by such as the Uniited Nations specialized agencies. averages the exchange rate for a given year and the ltt tre lvestth logrith valeo te twopccodlgyars djusingordi'fernceinraes littin, trend lities to the logarithimic values of the two) preccdinig years, adjusting for differences in rates The people of inflation between the country and the United variables for each year of the period. Populationandotherdemographicdataareestiniated States. 'I'hc resulting estimatc is divided hy the Thcedata lor China do not include Taiwan, China. by the World Bank fron data provided by the U.N. tnidyear population to obtain the per capita GNP in In this edition, all economic data refer to the unified Population Division. the U.N. Statistical Office, and current U.S. dollars. Note thatthe growth rate of GNP Gcrmany, except whers footnotcd; estisates prior to country statistical offices. Note that for population per capita is fromn constant price GNP data, that is, 199 M are Bank staff estima nes. data, refugees not peristanently settled in the countrv the GNP has been adjusted to excltide inflation. elue teWold Bans Wrd Devepment of asylum are generally considered to be part oftheir In addition to the share of agriculture in gross Report. Socitl Indicators oj'Developmett, the World country of origin. domcstic product (GDP), shares of exports and in- Teables, and the WIorld Debt Tables. lntormation on Female labor force estimates are from the Inter- vestment are presented to give a broader view of the these artd other publicatio.ts coveting international national Labour Office. economies. Agriculture includes forestry, hunting, School enrollment and illiteracy data are from and fishing; exports of goods and nonfactor services economic analysis and statistics can be obtained by UNESCO. Net school enrollment presents the ratio represent the value of all goods and nonfactor ser- wridug to: World Bank Publications, 1818 H St. of school-age pupils to the country's school-age vices provided to the rest of the world; investment NW.. Washington, D.C. 2)433. U.S.A.. population. Illiteracy estimates and projections for- consists of outlays on additions to the fixed assets of teales arc in addres eir queries to 1990 were prepared by UNESCO in 1989. the economy plus net changes in the level of inven- the Socioeconoms e D t a ddress ther quernes tio Infant mortality irates are a combination of ob- tories. Economics Department, World Bank, at the address served values and interpolated and projected es- Inflation rates are calculated from overall price above. timates. Malnutrition estimates are based on weight chaTnges of all goods and services in an economy. measurements of children, compared with interna- tional standards for each age. The data arc from the The environment United Nations Subcommittee on Nutrition. Measures shown in this section are not intended to be final indicators of natLral resource wealth, en- The economy vironmental health, orresotirce depletion. They have Gross national product (GNP) is a broad measure of been chosen becausc they are available for itaiiy an economy's perfornance; itis the valueofthefinal countries, are testable, and reflect some general cort- output of goods and services produced by ani ditions of the environument. economy. GNP, calculated in national currency, is Energy refers to commercial forms of energy. usually converted to U.S. dollarsat official exchange Traditional fulcs. although substantial in somne rates for comparison across economies, although an developing economies, are not taken into account alternative rate is used when the official exchange because reliable and comprehensive data ar-e not rate is judged to diverge by an exceptionally large available. The indicator of output is the U.S. dollar margin from the rate actually applied in internationial estimate of GDP produced, per- kilogramii of oil transactions. equivalent. Data on forests are from the FAO. Definitions of forest area vary among countries, and assessments of annual changes in forest coverage are difficult to make. Note that a negative sign in the change in forest covcrage data indicates a decrease in the fomcsted area. Data oni water are based on estimates friom the World Resources Institttte. Water use includes non- renewable water frolmj aquifers and desalinizatioti plants, and can therefore exceed total interrnal renew- able resourl-ces. 33 Notes 'outes les informations iigurant dans l'Atlas permettre des cornparaisons entre economnies, mais Les donn6es concernant les forets proviennent de provienneit des fichiers de la Banique mondiale et on utilise un antre taux lorsqu'on estime que Ic taux la FAO. La definition des zones boisees vanie selon techniques s'inspirent de donnces recueillies directement aupres de change officiel s'ecarte trop du taux effectivement les pays, et il est difficile d'evaluer avec precision les cles ser-vices riationaux de statistiques et des antres applique dans les transactions internationales. variations arofuelles cu couvert forestier. Le sigile`-" nistitutioris internationales teiles que les institutions Pour attdnuer les fluctuations des prix et des taux devant la variation du couvert forestier indique une specialis&es des Nations Unics. de change, la Barique mondialc utilise une mhtode diminution de la superficic boisee. speciale de conversion. Elle applique un coefficient Les donnees sur in consommation d'eau reposent La population de conversion qui etablit la moyenne des taux de sur des estimatiois tic l'Institut inondial des ressour- La population ct les autres donn6cs d6mographiques change pour une annee donnrc et les deux ann6cs ces naturelles. I.e volume total d'eau consommec sont des estimations 6tablics par la Banque mondialc pr6ecdentes et l'ajuste en fonction des differences comprend les ressources en eau non renouvelables a partir de donnres fournies par la Division de la entre les taux d'inflatiotn du pays en question et des provenant des nappes aquifcres ct des stations tIe population et le Bureau de statistique du Secretariat Etats-Unis. Ille divise 1'estimation ainsi obtenue par dessalement et peut donc dcpasser le total des res- de l'Organisation des Nations Unies et par les ser- la population en milieu d'anndc pour obtenir Ie PN13 sources interieures renouvelables. vices de statistiques des pays. On notera que pour les par habitant en dollars des Etats-Unis couranits. 1 oest donnces relatives a la population, les refugies qui ne h noter que le taux de roissancc du PNB par lahitant Autres qucstions liees aux donnces sont pas ctabLis a titre permanent dans leur pays estitabli 2partirdu PNB ei prix constants, c'esr-2- Lestauxd'inflationdecroissancedelapopulationet d'asilc sont gcncralement comptcs dans la popula- dire corrig6 de l'inflation. d'augrneniation du PNB par habitant sont des taux tion dle leur pays d'origine. Outre la par- de l'agriculture dans le produit annuels moyens calcules par application de courbes Les estimations relatives aux femmes dans la interieur brut (PlB), 'Atlas presentc l part des ex- detendanceauxvalcurslogarithmiqniesdesvariahles population active dmanesit du Bureau international portations e celIc lde l'investiscernent, afin de doniner pour chaque ann6e de la periode considercc. du travail. une visionI plus large des 6economies. L'agriculture I .es donnees relatives i la C(hine ne comprennent L.es donnues relatives aux taux de scolarisation et recouvre egalement la foresterie, la chasse et la pas Taiwan, Chine. Cette annee. toutes les donnees d'analphabetisme provienient de lUNESCO. Le p&che; Ics exportations de biens et de services non economiquies relativcs a l'Allemagne portelit sur tauxnetdescolarisationestlerapportentrelenomilbre facteurs repr6sentent la valeur de ['ensemble des l'Allemagne unifie, sauf exception note oenbas de d'enfanits d'agc scolaire inscrits a l'6colc ct l'effectif biens et des services non facteurs fournis au reste du page; ]es estimations ant6rieurecs 1991 tnt 6t6 d'age scolaire, En cc qui concerne l'analphabetisme, monde; l'investissement cornespotid a la somme des ctablies par la Banque mondiale. les estimations et projections pour 1990 ont ete dpensecs coisacrdces a l'acquisition de nouvclles im- Des definitions et des cxplications plis detailloes etablies par I'UNESCO en 1989. mobilisations et des variations nettes du niiveau des surles concepts presentes ici figurent dans le Rapport Les taux do mortalite infantile resultent de la stocks. sotr le drveloppefnent doons le moride, les Social In- combinaison de valeurs observ6es et d'estimations Les taux d'inflation sont calcules a partir des dicarore of Dei'elopenret (Indicateuis du developpement obtenues par interpolation ct projection. Pour la mal- variations globales des prix de tous les biens et social),les WoridTobles(Tableaux economiquesparpays) nutrition, les estitmations sont fondees surle poids des services d' une econonTie. et les World Debi Tables (Tableaux de la dette inter enfants par rapport auix normes internationales pour L nationale) de la Banqioe ron(liale. Les demiinades de leur age. Les donn6es proviennent des Nations Unics L'environnement renseignements sur ces publications et sur les autres (Sous-Comitd de la nutrition). Les tresures pr6sentdcs dans cette sectionl ilC dnivent piublications traitant de I'analyse or .des staritiiqites pas s'interpreter comme des indications definitives &eonomiquesinternationales sontiadresser pardcrit L'6conomie de la dotation et ressources natuoellos, dela sante de : World Bank Publications, 1818 H St. N.W., Le produit national brut (PNB) est une mesure l'cnvironneiietit ou do l'puisement des ressources. Washington, D.C. 20433, lJ.S.A. d'enseimble de la perfor-manice d'one economie; il Elles ont ete choisies parce qu'elles soot connues l.es lecteurs desireux d'obtenir une version plus represente la valcur do la production linale de biens pour beaucoup de pays, elles sont mesurables et elles approfondie des notes technliques soot invites a en- ct de services d'unc economie. Le PNB, calcule en retfltent Iletat general de l'nvirooiemenit. voyer lebors demaudes a: Socio-cconomic Data moniaie nationale, st gdn6ralemensetconverti en dol- Par energie, on eniend les formes commerciales Division, International Economics Departosent, lars des Etats-Ulis aLIX taux de change ofliciels poUr de I 'nergie. Malgre. leur importance pour certaines World Bank, a l' dressc ci-dessus. economics en developpement, on n'a pas pris en compte les combustibles traditionnels car on ne dis- pose pas do donn6es fiables el completes a eur sujet. L'indicateor dc Ia production est I'estimation en dol- lars dles Etats-Unis du PIB par kilogramimie d'equivalent patrole. 34 NT Toda la informaci6n, derivada de los archivos del considera que el oficial difiere eniul margei excep- Los datos sobre bosques y deforestacion Notas Banco Mundial. se apoya en datos recopilados direc- cionalmente amplio del que en efecto se aplica en las provienen de la PAO. Las definiciones de lo que t ecnicas tamente de las oficinas nacionales de cstadistica v de transaccimees internacionales. constituye zona forestal varfan de unos paises a otros, otras organizacioncs internacionales, tales comro los A fin de suavizar las fluctuaciones de los precios y las evaluaciones de los carnbios anuales en la organismos especializados de las Naciones Unidas. y los tipos de cambio. el Banco Mundial utiliza Un cubierta forestal son dificiles. UnI siguio menos enl los netodo especial de conversOine en el Atlas. En virtud datos relativos a variaciones en la cubierta forestal Poblaci6n de este metodo, se aplica on factor de co versi6n que indica una reducci6n de la superficie arbolada. El Banco Mtndial elabora las estimraciones sobre representa el promedio del tipo de cambio de un ano Los datos sobre el agua se basan en estimacioncs poblacidn y otros datos demograficos a partir dc los determinado y el de los dos anos anteriores, aj astado del Instituto Mecdial sobre Recursos. El consumo de datos proporcionados por la Dix,isi6n de Poblacion y cn fucci6n de las diferencias en las tasas de inflaci6n agua incluye el agua no renovable de los acufferos y la Oficina de Estadistica de las Naciones Unidas, asi entre el pals y Estados Unidos. La estimaci6n resul- la prove nienite de las plantas de desalinacion del agua coIImO pOI las oficinas dc estadistica de los paises. [ante se dividc por el numero de habitantes a del mar, y porlo tanto las cifras pueden exceder alas Obscrvese que, para fines de los datos de poblaci6n, rmediados de ado para oblener el PNB per capita en del total de recursos renovables internos. los refeigiados que no se hani establecido permanen- blares corrientes de EE.UU. Observese que la tasa temente ec el pais de asilo son considerados por lo de crecimiento del PNB per capita se derixa de datos Otros aspectos relativos a los datos general comIeO paste de la poblacioa de soi pass de del I'NB a precios constantes. es decir. que el PNB Las tasas dc aumento de la inflaci6n, la poblacion y origen. ha sido ajustado a rin de excluir el factor inflaci6n. el PNB per capita son las tasas medias de aumento Las estimaciones de laf'ler7ade trabajo femenina Adcm6s de la proporci6n de la agricultura en el anual calculadas ajustando las lineas de tendencia a provienendelaOficinaInternacionaldelTrabajo. productointernobruto(PIB),esteaeoseincluyenlos los valores logariftmicos de las variables para cada Los datos sobrensatricLalaescolaryacalfabetistno datos correspondiecntes alas proporciones quc repre- ado del perfodo. provienendelaOrganizacibndelasNacionesUnidas sentan las exportaciones y la inversi6n en el PIB. a Los datos correspondicntes a China no compren- paralaEducaci6n. laCieniciaylaCeltera (UNFSCO). fin de ofrecer un cuadro mas completo de las den a Taiwan (China). En la presente edicidn todos Lamatrieulanetaenlasescuelasprimariasrepresenta economfas. La agricultura abarca la silvicultura, la los datosecon6micos serefierena Alemaniadespues la relaci6n de aludmnos en edad escolar con respecto eaza y la pesca: las exportaciones de bienes y ser- dc la reulnificaci6n, excepto cuando se indica oera al total de la poblici6n en edad escolar del pais de vicios no atribuibles a factores representan el valor cosa en una nota de pie de pagina; las estimaciones que se trate. Las estimnaciones y proyecciones sobre de todos los bienes y servicios no atribuibles a fac- correspondientes a antes de 1991 fueron preparadas analfabetismo correspondientes a 1990 fueron tores proporcionados alresto del mendoe lainversiie por el personal del Banco. preparadas por la UNESCO en 1989. consisle en los descmbolsos destinados a adictones a En publicaciones del Banco Mundial como el Las tasas de mortalidad infantil son una los activos fijos de la economfa mbs las variaciones 1st/enre sebre el Desarreolle Mendial. los Social combinaci6ri de valores observados y estimacioces netas en el nivel de existencias. Indicators of Development (Indicadores sociales del interpoladas y proyectadas. Las estimaciones sobre Las tasas de inflaci6n se calculan tomeando en desarrollo). loes Vorld Tables (Cuadros sobre la malnutrici6n se basani en mediciones del peso de los cuenta las variaciones globales de los precios de economia mundial) y los World Debt Tables nidos, en comparaci6n con las pautas internacionales todos los bienes y servicios de una economfa. (Cuadros de la deuda en el mundo) se incluyen para cada edad. Los datos provienjeni del Subcomite dedniciones v conceptos mas detallados. Pars ob- de NutricionM de las Naciones Unidas. edio ambiente tener informaci6n sobre estas y otras publicaciones l.as mediciones que se muestran en esta seccion no que coeiprenden analisis econ6micos y estadisticas Economia pretenden serindicadores definitivos delariquczacn intemacionales, se ruega dirigirse por escrito a: El producto nacional bruto (PNB) es una medida recursos naturales, la higiece ambiental o el World Bank Publications, 1818 H Street. N.W.. amplia del desempcnio de la economfa de un pals: agotamiento de los recursos. Han sido seleecionadas Washington, D.C. 20433, EE.UU. representa el valor de la producci6n final de bienes y porque se dispone de ellas en relaci6n con muchos Se invita a los lectores que tengan intercs en servicios de una econornia. El PNB, calculado cn pafscs. sonverificablesyreflejanciertascondiciones obtener una explicaci6n mas completa de los moneda nacional, se convierte generalmente a gencrales del medio ambiente. problemas tecnicos a dirigir sus consultas a: Socio- d6]ares de EE.UU. a los tipos de cambio oticlacs Por energfa se entienden las formas de esta que economic Data Division, International Economics para fines de comparaci6n entre economfas; no esten disponibles en cl mercado. No se toman en Department. World Bank, a la direcci6n arriba in- obstante, se utiliza otro tipo dc cambio cuando se cucnta los combustibles tradicionales, aunque revis- dicada. ten considerable iniportancia en algunos paises en desarrollo, porque no se dispone de datos fiables y amplios sobre ellos. El indicador del producto es la estimaci6n del PIB producido. en d6lares de EE.UU., por kilogranio de equivalente en petr6leo. 35 The World Bank La Banque mondiale El Banco Mundial The World Bank is a multilateral development in- La Banque mondiale est une instituition multilatcrale El Ba[lco Mtmdial es una irstitfici6n multilateral de stitution whose purpose is to assist its developing ded6veloppementdontl'objectifestd'aidersespays desarrollo cuva finalidad es ayudar a sus pafses member countries further their economic and social menmbres en developpemeutit a proonouvoir Icur miembros en desarrollo a promover su progreso progress so that their people may live better and fuller progres economiquc ct social pour que leur popula- econ6mico y social a fin de que sus habitantes puedan lives, The term 'World Rank" refers to two legally tion puisse mene uLne vie meilleure et pluS 5 panotiic. alcanzar una vida mejor y mias plena. L.a expresi6n and financially distinct entities: the International L'expression < Banque mondiale > designe deux "Banco Mundial" comprende a dos entidades Rank for Reconstrmction and Development (IBRD) organisationis juiridiqulement et financierement dis- juridica y financicramente distintas: el Banco Inter- and the International Development Association tinctes: la Banque intcrnationale pour la reconstruc- nacional de Reconstrucci6n y Fornento (BIRF) y la (IDA). The IBRD anid IDA have three related litne- tion et le d6veloppensent (BIRD) et l'Association Asociaci6n Internacional de Fomento (AIF). El tions: to lend funds, to provide economic advice and internationale de de1veloppement (IDA). La BIRD et BIRF y la AIF tienen tres funciones relacionadas technical assistance, and to serve as a catalyst to l'IDA ont trois fonictions connexes : accorder dcs eutbe si: prestar fondos, propor-cionar asesorfa investment by others. prcts, fournir des conseils ceonomiques et une assis- econ6mica y asistencia ttecnica, y actuar como The IBRD finances its lending operations tance techniique, et servir de catalyseuL aux tnvestis- catalizadores para estimalar la reali7.aci6n dc inver- primarily from borrowings in the world capital sements d'autres parties. siones por terceros. markets. IDA extends assistance to the poorest La BIRD finance ses operations de prc^t prin- El BIRF financia sus operacioines crediticias countries on easier terms, largely from resources cipalement en contractant des emprunts sur les basicamente con los emprestitos que obtiene cn los provided by its wealthier menebers. Funds from1 suclh marches financiers ioiicdiaux. L'IDA accorde Ltte mereados mundiales dc capitales. La AIF ofrece other sources as govenmments, commercial banks, aidce aux pays les plus pauvres a des conditions plus asistenciaalospafsesmaispobresencondicionesmdis export credit agencies, and other miultilateral institu- lib6rales, essentiellemient grace aux ressouoces qLe favorables, priicipalmente con recursos propor- tions are increasingly being paired with World Bank lui fournissent ses pays membres les plus riches. De cionados por sus paises micmbros mas ricos. Fondos fuLifids to cofinaiice projects. The World Bank also plus cn plus souveFlt les projets aides par la Bauique dc otras fuentes, coiIIO gobiernos, baiicos coiner- provides loans to help developing countries adjust mondiale sont cofinances par d'autres sources: ciales,organismosdecreditoalaexportaci6nvotras their econromic policies anid stmuctLles in the face of gousvclucieents, baitqUes comiitmmciciales, oiganismies imistituciones ittultilarerales, se sumai coi itrecuemmcma structuralproblemsthatthreatencontinuingdevelop- de credit a l'exportation, et autres institutions creciente a los fomidos del Banco Mundial para teiit. tmsultilatcrales. La Bamique tuoudialc accorde aussi cofinanciar proyectos. El Banco Mundial tatnbi6tn The International Finance Corporation (IFC), an des prets aux pays en developpemcnt pour les aider proporciona pr6stamos a fin de ayudar a los paises en affliliate of the World Bank, seeks to proitole growtl i a faire facc, en ajustant leurs structures et leUrs politi- desarrollo a ajustar sus polidicas y estructuras in the pmivare sector of developing countries by ques teconomiques, aux problemes structurels qui economicasparahacerfrentealosproblemiiasestruc- mobiliziig Foreigni and domestic capital to invest tiietiacetit la poursuite de leur croissancc. turalcs que ponen enl peligro la continuaci6n del alongside its own funds in commercial enterprises. La Socitt financiere internationale (SFI), qui est desarrollo. 'I'he Multilateral Investment Guarantee Agency affili6e lila Banque mondiale, cherche a promouvoir La Corporaci6n Financiera Internacional (CFI), (MIGA), also an affiliatc of the World Bank, was la croissance du secteur privc dcs pays en instituci6n afiliada dcl Banco Mundial, se dedica a established in 1988 to encourage direct foreign in- d6veloppementen mobilisant des capitauxdtrangers fomentar el crecimiento del sector privado de los vestment in developing countries by protecting in- et nationaux ki investir avec ses propres ressources paises en desarrollo niovilizando capital externo c vestors firon noiicornmercial risk, especially risk of dans des entreprises commerciales. interno para invertirlo,junto con sus propios fondos, war or repatriation. L'Agenec multilatcrale dc garantic des investis- en emprcsas comerciales. As of October 31, 1993, the Bank had 176 seinents (AMGI), Cgalement affiliee ia la Banque El Organismo Multilateral de Garantfa de Inver- mcmbers. mondiale, a citt cre6e cn 1988 avec pour mission siones (OMGI), que tambi6n es una entidad afiliada d'encourager les investissements etrangers directs del Banco Mundial, se estableci6 en 1988 con objeto dans les pays en d6veloppement en protegeant les de fomentar la inversi6n extratijera directa en los investisseurs contrc les risques non commerciaux, pafses en desarrollo ofrecieiido protecci6n a los in- particuliereittent lc risque de guerrc ou (Ie rapatric- versionistas contra riesgos n1o comerciales, sobre ment. todo riesgos de gutrra o repatriaci6n. Au 31 octobre 1993, la Banque comptait 176 Al 31 de octubrc dc 1993, el Banco tenia 176 membres. miembros. 36 THE WORLD BANK OFFICES AROUND THE WORLD Headquarters Burkina Faso France Mall Poland Turkey 1818 H Street, N W Immeuble BICIA (3bme etage) 66, avenue d'lena Immeuble SOGEFIH INTRACO 1 Building (17th floor) Ataturk Bulvari 211 Washington, D C 20433, U S A B P 622 75116 Paris, France Quartier du Fleuve 2 Stawki Street Gama-Guris Building, Kat 6 Ouagadougou, Burkina Faso Avenue Moussa Travele 00-193 Warsaw, Poland 06683 Kavaklidere Albania Ghana BnkPa,1864e Deshmoret e 4 Shkurtit, No 34 Burundi 69 Eighth Avenue Extension BP 1864 Romania Ankara,Turkey Tirana, Albania Avenue du 18 septembre Northridge Residential Area amako, Mali Boulevard Dacia 83 Uganda Angola B P 2637 P 0 Box M27 Mauritania Sector 2 P O Box 4463 Edificlo BPA Bulumbura, Burundi Accra, Ghana Villa No 30, llot A Bucharest, Romania Kampala, Uganda C P 1331 Cameroon Guinea QuarterSocofim Russian Federation Ukraine 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Lilongwe 3, Malawi ISBN 0-821 3-2578-7