Thematic Report Population Projections

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Fourth Population and Housing Census, Rwanda, 2012THE REPUBLIC OF RWANDAThematic ReportPopulationProjectionsiNATIONAL INSTITUTE OF STATISTICS OF RWANDA

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THE REPUBLIC OF RWANDAMinistry of Finance and Economic PlanningNational Institute of Statistics of RwandaFourth Population and Housing Census, Rwanda, 2012Thematic ReportPopulation ProjectionsJanuary 2014iii

The Fourth Rwanda Population and Housing Census (2012 RPHC) was implemented by the NationalInstitute of Statistics of Rwanda (NISR). Field work was conducted from August 16 th to 30th, 2012. Thefunding for the RPHC was provided by the Government of Rwanda, World Bank (WB), the UKAID (FormerDFID), European Union (EU), One UN, United Nations Population Fund (UNFPA), United NationsDevelopment Programme (UNDP), United Nations Children's Fund (UNICEF) and UN Women.Additional information about the 2012 RPHC may be obtained from the NISR:P.O. Box 6139, Kigali, Rwanda; Telephone: (250) 252 571 035E-mail: info@statistics.gov.rw; Website: http://www.statistics.gov.rw.Recommended citation:National Institute of Statistics of Rwanda (NISR), Ministry of Finance and Economic Planning(MINECOFIN) [Rwanda], 2012. Fourth Rwanda Population and Housing Census.Thematic Report: Population Projectionsiv

Table of ContentsList of TablesviiList of FiguresixList of ive SummaryxviiChapter 1: Overview of the Fourth Rwanda Population and Housing Census1.1 Context and justification1.2 Legal and institutional frameworks1.3 Census phases1112Chapter 2: Justification and objectives of the population projections2.1 Context2.2 Justification of the population projections2.3 Objectives of the population projections2.3.1 Overall Objective2.3.2 Specific Objectives2.4 Definition of concepts and key indicators3335555Chapter 3: Analysis of the national demographic context3.1 Source of data3.2 Size and age-sex structure of the population3.3 Population dynamics indicators3.3.1 Levels and trends of fertility3.3.2 Levels and trends of mortality3.3.3 Levels and trends of migration888991011Chapter 4: Projections parameters, assumptions and scenarios4.1 Projections parameters4.1.1 Total, urban and rural population4.1.2 Fertility4.1.3 Mortality4.2 Projections assumptions4.2.1 Fertility4.2.2 Mortality4.2.3 International Migration4.3 Scenarios of projections4.4 Method of projections1212121314151516171717Chapter 5: Projections of the total population5.1 Population size5.2 Population growth5.3 Population density5.4 Age-sex structure of the population5.5 Fertility indicators5.6 Mortality indicators20202122232730v

Chapter 6: Projections of the urban population6.1 Assessment of the current official target on urbanization6.2 Size of the urban population6.3 Age-sex structure of the urban population6.4 Density of the urban population3232333336Chapter 7: Projections of the rural population7.1 Size of the rural population7.2 Age-sex structure of the rural population7.3 Density of the rural population37373740Chapter 8: Projections of specific interventions target groups8.1 School-age population8.2 Working-age population8.3 Elderly population8.4 Other specific interventions target groups4141424344Chapter 9: Projections of the private households9.1 Evolution of the number and size of the private households9.2 Newly created private households474748Conclusion50Policy implications52Annex ACensus objectives, methodology and data quality assessmentA.1 Objectives of the CensusA.2 Methodology and Census phasesA.2.1 Census mappingA.2.2 Pilot CensusA.2.3 Questionnaires and manualsA.2.4 Census publicity and sensitisation campaignA.2.5 Recruitment and training of field staffA.2.6 Actual Census enumerationA.2.7 Post-enumeration activitiesA.3 Data quality assessment5555565656565757585960Annex BCensus questionnaireB.1 Private households: person recordB.2 Private households: household record and mortality recordB.3 Institutional households: person record61626667Annex CC.1C.2C.3C.4C.5707072737475Glossary of key terms and definitionsPopulation and demographic characteristicsHousing and household characteristicsEducationEmployment/economic activitySocio-cultural characteristicsAnnex C: Supplementary tables76vi

List of TablesTable 1:Trends in fertility from past censuses and nation-wide household surveys . 10Table 2:Trends in mortality indicators from past censuses and nation-wide household surveys . 11Table 3:Age-sex structure of the total, urban and rural population at mid-year 2012 (July 1st, 2012) . 13Table 4:Age-Specific Fertility Rates (%) and contribution to the general fertility . 14Table 5:Trends in life expectancy at birth and average annual growth rates between 1978 and 2012 . 14Table 6:United Nations model of life expectancy improvement during a five-year period . 15Table 7:Evolution of the population size, 2012-2032 by projections scenarios. 20Table 8:Evolution of the population density, 2012-2032 by projection scenarios . 23Table 9:Age-sex distribution (count) of the population of Rwanda in 2032 by projection scenarios . 25Table 10: Evolution of the age-sex structure of the Rwandan population 2012-2032, high scenario . 26Table 11: Evolution of the age-sex structure of the Rwandan population 2012-2032, medium scenario . 26Table 12 Evolution of the age-sex structure of the Rwandan population 2012-2032, low scenario . 27Table 13: Evolution of key fertility indicators 2012-2032, by projection scenarios . 28Table 14: Evolution of other key fertility indicators, 2012-2032 by projection scenarios . 30Table 15: Evolution of key mortality indicators, 2012-2032 by projection scenarios . 31Table 16: Evolution of the size of the urban population, 2012-2020 by projection scenarios and Vision2020 urbanization rate target. 32Table 17: Evolution of the size of the urban population, 2012-2032 by projection scenarios33Table 18 Evolution of the age-sex structure of the urban population, 2012-2032 by projection scenarios35Table 19: Evolution of the density of the urban population by projection scenarios . 36Table 20: Evolution of the size of the rural population, 2012-2032 by projection scenarios . 37Table 21: Evolution of the age-sex structure of the rural population, 2012-2032 by projections scenario . 39Table 22: Evolution of the rural population density, 2012-2032 by projections scenario . 40Table 23: Evolution of the school-age population, 2012-2032 by level of education and area of residenceaccording to the medium projections scenario . 41Table 24: Evolution of the working-age population, 2012-2032 by area of residence according to themedium projections scenario . 42Table 25: Evolution of the size of the elderly (60 years and above) between 2012 and 2032 by sex andarea of residence according to the medium projections scenario . 43Table 26: Evolution of the size of the elderly (65 years and above) between 2012 and 2032 by sex andarea of residence according to the medium projections scenario . 44Table 27: Evolution of the size of selected population groups target of health interventions between 2012and 2032 by area of residence according to the medium projections scenario . 45Table 28: Evolution of the size of selected population groups target of children and youth interventionsbetween 2012 and 2032 by area of residence according to the medium projections scenario . 46Table 29: Evolution of the size of relevant legal majority age-groups between 2012 and 2032 by area ofresidence according to the medium projections scenario . 46Table 30: Evolution of the number and size of the private households and the newly created privatehouseholds between 2012 and 2032 by area of residence according to the medium projectionsscenario . 48Table 31: Projection of the total population 2012-2032 by single age according to the high projectionsscenario . 76Table 32: Projection of the total population 2012-2032 by single age according to the medium projectionsscenario . 84Table 33: Projection of the total population 2012-2032 by single age according to the low projectionsscenario . 92Table 34: Projections of the total population, 2012-2032 according to the high projections scenario . 100Table 35: Projections of the total population, 2012-2032 according to the medium projections scenario . 101Table 36: Projections of the total population, 2012-2032 according to the low projections scenario103Table 37: Projections of the urban population, 2012-2032 according to the high projections scenario . 105vii

Table 38:Table 39:Table 40:Table 41:Table 42:Table 43:Table 44:Table 45:Table 46:Table 47:Table 48:Table 49:Table 50:Table 51:Table 52:Projections of the urban population, 2012-2032 according to the medium projections scenario108Projections of the urban population, 2012-2032 according to the low projections scenario . 110Projections of the rural population, 2012-2032 according to the high projections scenario . 112Projections of the rural population, 2012-2032 according to the medium projections scenario . 114Projections of the rural population, 2012-2032 according to the low projections scenario116Projections of the school-age population, 2012-2032 according to the medium projectionsscenario . 118Projections of the working-age population, 2012-2032 according to the medium projectionsscenario . 119Projections of the elderly (60 years and above), 2012-2032 according to the medium projectionsscenario . 120Projections of the elderly (65 years and above), 2012-2032 according to the medium projectionsscenario . 121Evolution of the size of selected population groups target of health interventions between 2012and 2032 by area of residence according to the medium projections scenario . 122Evolution of the size of selected population groups target of children and youth interventionsbetween 2012 and 2032 according to the medium projections scenario . 123Evolution of the size of relevant legal majority age groups between 2012 and 2032 by area ofresidence according to the medium projections scenario . 124Projections of the number and size of the total private households and the newly createdhouseholds, 2012-2032 according to the medium projections scenario125Projections of the number and size of the urban private households and the newly createdhouseholds, 2012-2032 according to the medium projections scenario . 126Projections of the number and size of the rural private households and the newly createdhouseholds, 2012-2032 according to the medium projections scenario127viii

List of FiguresFigure 1:Age pyramid of the resident population of Rwanda, 2012 . 9Figure 2:Evolution of the projected total population, 2012-2032 by projection scenarios . 21Figure 3:Evolution of the average annual growth rate, 2012-2032 by projection scenarios . 21Figure 4:Evolution of the doubling time of the population, 2012-2032 by projection scenarios . 22Figure 5:Comparison of the 2012 and 2032 age pyramids of the Rwandan total population by projectionscenarios . 24Figure 6:Evolution of the number of annual births, 2012-2032 by projection scenarios . 29Figure 7Comparison of the 2012 and 2032 age pyramids of the Rwandan urban population by projectionscenarios . 34Figure 8: Comparison of the 2012 and 2032 age pyramids of the rural population by projection scenarios . 38Figure 9:Evolution of the age dependency ratio, 2012-2032 by area of residence according to themedium projections scenario . 43Figure 10:Evolution of the private households between 2012 and 2032 by area of residence according tothe medium projections scenario . 47Figure 11: Evolution of the annual newly created private households between 2013 and 2032 by area ofresidence according to the medium projections scenario . 49ix

List of AbbreviationsAGRAnnual Growth RateASDRAge-Specific Death RateASFRAge-Specific Fertility RateCBRCrude Birth rateCDRCrude Death RateCPRContraceptive Prevalence RateDemProjComputer Programs for Making Demographic (Population) ProjectionsDHSDemographic and Health SurveysEDPRSEconomic Development and Poverty Reduction StrategyEICVEnquête Intégrale sur les Conditions de Vie des Ménages (Integrated HouseholdLiving Conditions Survey)EUEuropean UnionGDPGross Domestic ProductGFRGeneral Fertility RateGRRGross Reproduction RateICPD-PoAProgram of Action of the 1994 International Conference on Population andDevelopmentIMRInfant Mortality RateLEBLife Expectancy at BirthMDGsMillennium Development GoalsMICMiddle Income CountryMoHMinistry of HealthNISRNational Institute of Statistics of RwandaNRRNet Reproduction RateONAPOOffice National de la PopulationPHCPopulation and Housing CensusPRBPopulation Reference BureauRAPIDResources of the Awareness of Population Impactsx

RDHSDemographic and Health SurveysRPHC4Fourth Rwanda Population and Housing CensusSBRStandardized Birth RateTFRTotal Fertility RateU5MRUnder-Five Mortality RateUKAIDUnited Kingdom Agency for International Development (formerly DFID)UNUnited NationsUNDPUnited Nations Development ProgramUNFPAUnited Nations Population FundUNICEFUnited Nations Children FundWBWorld Bankxi

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Executive SummaryPopulation projections are widely used virtually in all government sectors and private businessesand they are inevitable for policy makers and programme managers. This is particularly the case inRwanda which is densely populated with exceptionally high population growth rate. The countryhas experienced rapid demographic and social changes in the last two decades following the 1994genocide. The objective of the present report is to analyse the 2012 Rwandan Population andHousing Census (RPHC) data to project the national population and other specific interventiontarget groups, and their size, density, age-sex structure, distribution in urban and rural areas, sizeof private households and other related output indicators of fertility and mortality. Cohortcomponent projections are applied based on three scenarios (high, medium and low) formulatedusing assumptions regarding future course of fertility and mortality, and reflecting on past trendsand other existing and future development policies. The medium assumption scenario is regardedas the most likely projection.The 2012 RPHC data recorded a total resident population of 10,515,973 inhabitants, with a slightlyhigher representation of women (51.8%). Both fertility and mortality levels remain high, althoughthe rates have decreased substantially over the past decade. Indeed, under the current fertilityconditions, a Rwandan woman would have 4.0 children on average at the end of her reproductivelife when compared to a total fertility rate of 6.9 in 1991. The level of mortality has declinedconsiderably. In particular, the infant mortality rate dropped considerably from 120 per 1000 livebirths in 1991 to 49 per 1000 in 2012 and the life expectancy at birth for both sexes has risen from53.7 years in 1991 to 64.5 years in 2012.The results from the population projections demonstrate evidence that in the next 20 yearsRwandan population will be considerably different in terms of size, structure and composition thanit is currently.Size and density of future populationThe Rwandan population is projected to increase from 10.5 million in 2012 to 16.9 million (highscenario) to 16.3 million (medium scenario) or 15.4 million (low scenario) by 2032. The absolutedifference between the assumption scenarios is trivial, which suggests that the future size ofRwandan population would be about approximately 50% more than the current population. A directconsequence of this evolution is the unprecedented increase in population density, as high as 645inhabitants per square kilometre according to the medium scenario. The population will be lessyoung with the median age increasing from 19 years in 2012 to 24 in 2032. The percentage of theadult and the elderly aged 60 and above in the population will increase over time while the share ofthe children is expected to decline in the future.Evolution of fertility and mortalityRegardless of the projection scenarios, fertility rates will decrease in the next 20 years. The currentdecline in fertility is assumed to continue over time with the total fertility rate decreasing from 4children per woman to 3.5 (high scenario), 3 (medium scenario) and 2.5 (low scenario). The annualnumber of births is projected to increase from 321,506 in 2012 to 389,087 in 2027 and thereafter itwill stand to 393,731 births. Mortality will also decrease, irrespective of the projection scenarios.According to the medium scenario, life expectancy at birth is likely to increase from 64.5 years toxvii

71.4 years while infant mortality rate is likely to decrease from 48.6 to 27.7 per 1000 live births inthe next 20 years.Evolution of the urban and rural populationThe urbanization rate is expected to increase from 16.5% in 2012 to 30% in 2032. This rapidgrowth is translated by the size of the urban population multiplied by a factor of three in the next 20years: 1.7 million in 2012 to 4.9 million in 2032, according to the medium scenario. As for thewhole population, the urban population will be less young with a median age increasing from 22years to 25 years between 2012 and 2032. The rural population will also increase but at a slowerpace than the urban population. According to the medium scenario, the rural population will be11.4 million in 2032 compared to 8.7 million in 2012, equivalent to an increase rate of about 30%.The rural population will also be less young with a median age increasing from 19 years to 23years between 2012 and 2032.Evolution of some specific interventions target groupsThe size of certain population subgroups such as the school-age population, the working-agepopulation, the health interventions group, the elderly, the children and youth, and the legal agegroups categories will increase substantially over the next 20 years, especially in urban areas. Forinstance at the national level, the school-age population will increase from 4.3 million to 5.6 millionbetween 2012 and 2032, equivalent to an increase of 30% over 20 years with marked differencesby area of residence. The size of the working-age population aged 16-64 years in Rwanda willincrease from 5.6 million in 2012 to 9.8 million in 2032, corresponding to an increase rate of 75%.This increase will be even greater in urban area where the working-age population will increasethreefold in twenty years. In contrast, the increase in rural area will be only 45%.The size of the elderly aged 60 and above will more than double between 2012 and 2032. Theincrease will be even more substantial in urban area where the number of the old people in 2032will be 4.2 times greater than in 2012 while in the rural area the increase will be twofold. Theincrease also varies by sex, regardless of the area of residence. The increase in relative terms willbe more accentuated among males than females at country and rural level than in urban area. Forinstance at the country level, the increase in elderly population between 2012 and 2032 of maleswill be 128% as compared to 106% among females.Evolution of the private householdsThe number of private households will increase from 2.4 million to 5.3 million between 2012 and2032. It will increase threefold in urban area whereas in rural areas this increase will be only 83%.The mean size of the households will vary slightly, decreasing from 4.3 members per household to3.1 in 2032 with little variations between urban and rural areas. The annual number of newlycreated households will increase continuously over time: from about 94,000 in 2013 up to about198,000in 2032.xviii

Policy implicationsA significant threat to population and development in Rwanda is the increasing land pressure. Thecountry needs to put in place explicit policies to deal with the unavoidable and foreseeablepopulation overcrowding aside from the current policies aimed at reducing the population growth.The expected growth of the urban population would exacerbate pressure on land, settlements,physical infrastructure and resources. This would imply revisiting urban planning and monitoringrelated interventions within the high population growth context, where appropriate giving attentionto the future development of new settlements including roads, transport networks, water andelectricity supply, health and educational facilities and other essential community facilities.The growth rate and size of future youth and working-age population would pose additionalchallenges in terms of generating sustainable employment and livelihood opportunities in bothurban and rural areas of Rwanda. The decline in fertility and improvements in adult and old agesurvival rates would imply that the future dependency ratio will be sensitive to the decreasingnumber of children and increasing number of elderly people in the population. This would haveimplications on providing social support and healthcare and living arrangements of the elderlypopulation.xix

Chapter 1: Overview of the Fourth Rwanda Population andHousing Census1.1 Context and justificationThe history of the Population and Housing Census in Rwanda dates back to the 1970s. To date,four modern censuses have successfully been conducted in Rwanda, in 1978, 1991, 2002 and2012.The 2002 Census collected a number of demographic and socio-economic characteristics andindicated a total population of 8,128,553 people. Following the United Nations Decennial CensusProgram, the 2012 Census is the Fourth Rwanda Population and Housing Census (RPHC4). Itindicates that the country now has a total population of 10,515,973 people.Besides the endorsement of recommendations from major international conferences held underthe auspices of the United Nations, the Government of Rwanda (GoR) has been focusing since2000 on the long-term Vision 2020 that aims at transforming Rwanda into a middle-incomecountry. This is being implemented through the medium-term planning framework of the EconomicDevelopment and Poverty Reduction Strategy (EDPRS) for successive five-year periods. Themeasurement of progress in implementing the EDPRS and the various UN recommendations callsfor the availability of demographic and socio-economic statistical data to inform the selectedindicators at different levels.The RPHC4 is a reliable and comprehensive source of data, which compared to other officialstatistics data sources (administrative data, surveys, etc.) allows for disaggregation to the lowestgeographical level.The RPHC4 was undertaken to update the national mapping and demographic databases, toprovide indicators for monitoring poverty reduction strategies and achievement of internationaldevelopment goals (MDGs, ICPD-PoA, NEPAD, etc.) and to strengthen the technical capacity ofthe National Institute of Statistics of Rwanda (NISR).A more detailed discussion of the long- and short-term objectives of the Census is presented inAnnex A of this report.1.2 Legal and institutional frameworksAs an essential precondition for Census execution, the legalization of its operations was securedby a Presidential Decree officially establishing and determining the administrative organization ofthe Census. In addition, a Ministerial Order of the Minister of Finance and Economic Planning hasset forth the official and statutory requirements for Census activities.The institutional framework set up for implementing the RPHC4 consists of three main bodies: theNational Census Commission (NCC), the Census Technical Committee (CTC) and thedecentralized branches of the NCC at province and district levels.In order to ensure focused functioning during the whole period of Census execution, a Census Unitwas created within the NISR, as an executing unit, and benefiting from other financial, logisticaland technical support services from the NISR.1

1.3 Census phasesFollowing the preparatory phase of the Census, which consisted of the production of the projectdocuments, schedule and Census budget, the following technical activities were undertaken: Census mapping; A Pilot Census; Questionnaire and manual development; Census publicity and sensitization campaign; Recruitment and training of field staff; Census enumeration; and Post-enumeration activities.Further details on all Census phases can be found in Annex A of this report.The success of the RPHC4 is attributable largely to the rigorous pre-Census planning and robustCensus enumeration monitoring undertaken by the NISR as well as the remarkable supportreceived from the Government and people of Rwanda and the generous technical and financialassistance given by international development partners.2

Chapter 2: Justification and objectives of the populationprojections2.1 ContextSince the 1994 genocide, Rwanda has made considerable progress in restoring peace andpolitical stability, human development and social transformation. The enabling factors for this socialdevelopment are wide ranging including: strong political commitment, good governance,accountability, effective decentralisation policies along with social reforms and programmeinterventions. The establishment of new villages in rural areas (Umudugudu) through resettlementprogrammes, universal health insurance scheme (Mutuelle de santé) and Economic Developmentand Poverty Reduction Strategy (EDPRS) are examples of successful social and health careinterventions in Rwanda (Ministry of Finance and Economic Planning 2013; May and Kamurase2009).Despite these achievements, Rwanda‟s future has been threatened by an exceptionally high rateof population growth, which in turn has a negative consequence on physical and natural resources.In fact, Rwanda is one of the countries in Africa with a high population density (PRB 2013), whereexcessive population growth puts severe pressure on land, settlements and living conditions (NISR2007). The country has since long time tried to integrate population issues into developmentprograms through various efforts including the redistribution of population and land, and has beensuccessful with direct interventions in reduce growth rate through effective family planning andhealthcare programmes (Ministry of Finance and Economic Planning 2013; NISR, MoH and ICFInternational 2012; Singh et al. 2012; ONAPO 1990).Since the last decade, the country has embarked on the implementation of multidimensionalpopulation policies that includes several features such as land management, improving healthconditions of the population, universal access to healthcare including reproductive health andfamily planning services, and interventions aimed at improving the levels of education for girls. In2000, the government launched the Vision 2020 programme with the aim of reducing populationgrowth rate and to transform Rwanda into a middle income country with a target of reaching over7% annual growth in GDP engaging service sectors, agriculture and industries as engines ofeconomic growth (Ministry of Finance and Economic Planning 2000).It is in this context where past, current and future population data become critically imp

Table 34: Projections of the total population, 2012-2032 according to the high projections scenario . 100 Table 35: Projections of the total population, 2012-2032 according to the medium projections scenario . 101 Table 36: Projections of the total population, 2012-2032 according to the low projections scenario 103

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