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INDICATORS for Monitoring the Millennium Development Goals


                                 Definitions

                                 Rationale
                                 Concepts

                                 and Sources




                United Nations
ST/ESA/STAT/SER.F/95


       United Nations Development Group
                          Led by

            United Nations Population Fund

         United Nations Development Programme

              Department of Economic and
            Social Affairs–Statistics Division




Indicators for Monitoring the
Millennium Development Goals
Definitions Rationale Concepts and Sources




                  United Nations

                      New York

                          2003
Indicators for Monitoring the Millennium Development Goals




     NOTE


              The designations employed and the presentation of material in this publication do
              not imply the expression of any opinion whatsoever on the part of the United Nations
              concerning the legal status of any country, territory, city or area or of its authorities,
              or concerning the delimitation of its frontiers or boundaries. The term “country” as
              used in the text of this report refers, as appropriate, to territories or areas. The des-
              ignations of “developed”. “developing” and “least developed” countries are intended
              for convenience and do not necessarily express a judgement about the stage reached
              by a particular country or area in the development process. Reference to “dollars” ($)
              indicates United States dollars, unless otherwise stated.




              ST/ESA/STAT/SER.F/95
              United Nations Publication
              Sales No. E.03.XVII. 18
              ISBN 92-1-161467-8
              Copyright © United Nations 2003
              All rights reserved




              Graphic design and Desktop composition Andy Musilli


ii
Definitions, Rationale, Concepts and Sources




FOREWORD
    Building on the United Nations global conferences of the 1990s, the United Nations
    Millennium Declaration of 2000 marked a strong commitment to the right to devel-
    opment, to peace and security, to gender equality, to the eradication of the many
    dimensions of poverty and to sustainable human development. Embedded in that
    Declaration, which was adopted by 147 heads of State and 189 states, were what
    have become known as the eight Millennium Development Goals, including 18 time-
    bound targets.

    To monitor progress towards the goals and targets, the United Nations system,
    including the World Bank and the International Monetary Fund, as well as the
    Development Assistance Committee of the Organisation for Economic Co-operation
    and Development, came together under the Office of the Secretary-General and
    agreed on 48 quantitative indicators. The indicators built upon an intergovernmen-
    tal process to identify relevant indicators in response to global conferences. The
    Secretary-General presented the goals, targets and indicators to the General
    Assembly in September 2001 in his report entitled “Road map towards the imple-
    mentation of the United Nations Millennium Declaration”.

    The present handbook provides guidance on the definitions, rationale, concepts and
    sources of data for each of the indicators that are being used to monitor the goals and
    targets. It expands on an earlier exercise to provide the metadata for the socio-eco-
    nomic indicators that make up the United Nations Common Country Assessment
    Indicator Framework. The indicators for goals 1–7 are a subset of that framework.

    Preparation of the handbook was directed by an inter-agency working group of the
    United Nations Development Group, including the World Bank, chaired by the United
    Nations Population Fund and co-chaired by the United Nations Statistics Division and
    the United Nations Development Programme. On behalf of the United Nations
    Development Group, I would like to thank all the agencies and individuals (see below)
    who contributed to this handbook, including the Department for International
    Development of the Government of the United Kingdom, which funded the services
    of a short-term consultant who contributed to the handbook.

    I believe that this tangible example of interagency collaboration will prove useful to
    the international community by strengthening national statistical capacity and
    improving monitoring. And I sincerely hope that this will be sustained through future
    revisions in the same spirit.


    Mark Malloch Brown
    Chairman
    United Nations Development Group


    September 2003

                                                                                                iii
Definitions, Rationale, Concepts and Sources




CONTENTS
.   .   .   .   .   .   .   .   .   .   .   .   .   .   .   .    .   .   .   .   .   .   .   .   .   .   .   .
.
    Foreword . . . . . . . . . . . . . . . . . . . . .
     .   .    .                                                                                      .   .   .
                                                                                                                  iii
.
    Abbreviations . . . . . . . . . . . . . . . . . . . .
     .   .    .   .                                                                                  .   .   .
                                                                                                                  vii
.
    Acknowledgements . . . . . . . . . . . . . . . . . . .
     .   .    .   .   .                                                                              .   .   .
                                                                                                                 viii
.
    Introduction . . . . . . . . . . . . . . . . . . . . .
     .   .    .                                                                                      .   .   .
                                                                                                                   1
.
    Goals, targets and indicators . . . . . . . . . . . . . . . .
     .   .    .   .   .  .    .   .                                                                  .   .   .
                                                                                                                   3
.
    1. . Proportion. of population below $1 purchasing power. parity (PPP) per day . . .
     .        .   .      .    .   .  .   .   .    .   .   .  .       .   .   .   .   .               .   .   .
                                                                                                                   5
.
    1A. . Poverty headcount ratio (percentage .of population below the national poverty line) .
     .        .   .   .  .    .   .  .   .   .        .   .  .   .   .   .   .   .   .   .  .        .   .   .
                                                                                                                   7
.
    2. . Poverty gap ratio .(incidence multiplied by depth .of poverty) . . . . . . .
     .        .   .   .  .        .  .   .   .    .   .   .      .   .                               .   .   .
                                                                                                                   9
.
    3. . Share .of poorest quintile in national consumption . . . . . . . . .
     .        .       .  .    .   .  .   .   .    .   .   .  .                                       .   .   .
                                                                                                                  10
.
    4. . Prevalence of .underweight children under 5 years of. age. . . . . . . .
     .        .   .   .       .   .  .   .   .    .   .   .  .                                       .   .   .
                                                                                                                  12
.
    5. . Proportion. of population below minimum. level of. dietary. energy. consumption . .
     .        .   .      .    .   .  .   .   .    .       .      .       .       .   .   .           .   .   .
                                                                                                                  14
.
    6. . Net enrolment. ratio in. primary education. . . . . . . . . . . .
     .        .   .   .       .      .   .   .    .                                                  .   .   .
                                                                                                                  16
.
    7. . Proportion. of pupils starting grade 1 .who. reach grade 5 . . . . . . . .
     .        .   .      .    .   .  .   .   .            .  .   .                                   .   .   .
                                                                                                                  18
.
    7A. . Primary completion rate . . . . . . . . . . . . . . . .
     .        .   .   .  .    .   .                                                                  .   .   .
                                                                                                                  20
.
    8. . Literacy rate of 15–24 year-olds . . . . . . . . . . . . . .
     .        .   .   .  .    .   .  .   .                                                           .   .   .
                                                                                                                  22
.
    9. . Ratio of girls to boys in primary, secondary and tertiary education . . . . .
     .        .   .   .  .    .   .  .   .   .    .   .   .  .   .   .   .   .                       .   .   .
                                                                                                                  24
.
    10. . Ratio of literate women to men, 15–24 years. old. . . . . . . . . .
     .        .   .   .  .    .   .  .   .   .    .   .                                              .   .   .
                                                                                                                  26
.
    11. . Share .of women in wage employment in the non-agricultural. sector . . . . .
     .        .       .  .    .   .  .   .   .    .   .   .  .   .   .       .                       .   .   .
                                                                                                                  27
.
    12. . Proportion. of seats held by women in. national parliaments . . . . . . .
     .        .   .      .    .   .  .   .   .        .   .  .   .   .                               .   .   .
                                                                                                                  29
.
    13. . Under-five mortality rate . . . . . . . . . . . . . . . .
     .        .   .   .  .    .   .                                                                  .   .   .
                                                                                                                  30
.
    14. . Infant .mortality rate . . . . . . . . . . . . . . . . .
     .        .       .  .    .                                                                      .   .   .
                                                                                                                  32
.
    15. . Proportion. of 1-year-old children .immunized .against. measles . . . . . .
     .        .   .      .    .   .  .   .        .   .      .       .   .                           .   .   .
                                                                                                                  34
.
    16. . Maternal mortality ratio . . . . . . . . . . . . . . . .
     .        .   .   .  .    .   .                                                                  .   .   .
                                                                                                                  36
.
    17. . Proportion. of births attended. by skilled health personnel. . . . . . . .
     .        .   .      .    .   .  .       .    .   .   .  .   .                                   .   .   .
                                                                                                                  39
.
    18. . HIV prevalence among pregnant women aged 15–24. years . . . . . . .
     .        .   .   .  .    .   .  .   .   .    .   .   .  .       .                               .   .   .
                                                                                                                  40
.
    19. . Condom use rate of the contraceptive prevalence rate . . . . . . . .
     .        .   .   .  .    .   .  .   .   .    .   .   .  .   .                                   .   .   .
                                                                                                                  42
    19A. Condom use at last high-risk sex . . . . . . . . . . . . . .                                .   .   .
                                                                                                                  44
    19B. Percentage of population aged 15–24 years with comprehensive correct knowledge
.    .   .
           of .HIV/AIDS . . . . . . . . . . . . . . . . . . .
                  .   .                                                                              .   .   .
                                                                                                                 45
.
    19C. . Contraceptive. prevalence .rate . . . . . . . . . . . . . .
     .        .   .   .       .   .      .                                                           .   .   .
                                                                                                                 46
    20. Ratio of school attendance of orphans to school attendance of non-orphans
.    .   .
           aged 10–14 years. . . . . . . . . . . . . . . . . .
              .   .   .  .                                                                           .   .   .
                                                                                                                 48
.
    21. . Prevalence and death. rates associated with malaria . . . . . . . . .
     .        .   .   .  .    .      .   .   .    .   .   .  .                                       .   .   .
                                                                                                                 49
    22. Proportion of population in malaria-risk areas using effective malaria
.    .   .
           prevention and treatment. measures . . . . . . . . . . . . .
              .   .   .  .    .   .      .   .                                                       .   .   .
                                                                                                                 51
.
    23. . Prevalence and death. rates associated with tuberculosis. . . . . . . .
     .        .   .   .  .    .      .   .   .    .   .   .  .   .                                   .   .   .
                                                                                                                 53
    24. Proportion of tuberculosis cases detected and cured under DOTS                                           54
.   25. . Proportion. of land. area covered by forest. . . . . . . . . . . .
     .        .   .      .        .  .   .   .    .                                                  .   .   .   56
.   26. . Ratio of area protected to. maintain biological diversity to surface area . . . .
     .        .   .   .  .    .   .      .   .    .   .   .  .   .   .   .   .   .                   .   .   .   58
.   27. . Energy use (kilogram oil equivalent) per $1 gross. domestic product (PPP) . . .
     .        .   .   .  .    .   .  .   .   .    .   .   .      .   .   .   .   .   .               .   .   .   59
.   28. . Carbon dioxide emissions .per. capita and .consumption of. ozone-depleting . . .
     .        .   .   .  .    .   .          .    .       .  .   .       .   .   .   .               .   .   .
           chlorofluorocarbons (ODP tons)                                                                        61
.   29. . Proportion. of the population using solid fuels. . . . . . . . . . .
     .        .   .      .    .   .  .   .   .    .   .                                              .   .   .   63
.   30. . Proportion. of population with. sustainable access. to an improved water . . . .
     .        .   .      .    .   .  .       .    .   .   .      .   .   .   .   .                   .   .   .
            source, urban and rural                                                      .  . .      .   .   .
                                                                                                                 64
.   31. . Proportion. of population with. access .to improved sanitation,. urban and .rural . .
     .        .   .      .    .   .  .       .        .   .  .   .   .       .   .       .           .   .   .   66
                    .   .   .   .   .   .   .   .   .   .   .    .   .   .   .   .   .   .   .   .   .   .   .

                                                                                                                        v
Indicators for Monitoring the Millennium Development Goals




           .   .
                 32. . Proportion of households with access to secure. tenure . . . . . . . . . . .
                         .  .    .   .   .   .   .   .    .   .   .   .        .
                                                                                                                               68
           .   .
                 33. . Net ODA, total and to the least developed countries, as. a percentage of OECD/DAC donors’ gross
                         .  .    .   .   .   .   .   .    .   .   .   .   .    .       .   .     .   .    .   .   .   .    . .
                       national income.                                                                                        70
           .   .
                 34. . Proportion of total bilateral,. sector-allocable ODA of OECD/DAC donors to. basic social . .
                         .  .    .   .   .   .   .        .   .   .   .   .    .    .  .   .     .   .        .   .   .
                       services (basic education, primary health care, nutrition, safe water and sanitation)                   71
           .   .
                 35. . Proportion of bilateral ODA of OECD/DAC donors that is untied. . . . . . . . .
                         .  .    .   .   .   .   .   .    .   .   .   .   .    .    .  .
                                                                                                                               72
           .   .
                 36. . ODA .received in .landlocked .countries as a proportion of their gross national incomes . . .
                         .       .   .       .   .        .   .   .   .   .    .    .  .   .     .   .    .   .   .
                                                                                                                               73
           .   .
                 37. . ODA .received in .small island. developing. States .as a. proportion. of their. gross national .incomes 75
                         .       .   .       .   .        .   .       .             .  .         .        .   .   .        . .
           .   .
                 38. . Proportion of total developed country imports (by value and excluding. arms) from. . . .
                         .  .    .   .   .   .   .   .    .   .   .   .   .    .    .  .   .     .        .   .
                       developing countries and from the least developed countries, admitted free of duty                      76
           .   .     .   .  .    .   .   .   .   .   .    .   .   .   .   .    .    .  .   .     .   .    .   .   .   .    . .
           .   .
                 39. . Average .tariffs imposed . by developed countries on. agricultural. products and . . . . .
                         .  .        .   .   .       .    .   .   .   .   .         .  .         .   .    .
                       clothing from developing countries                                                                      78
           .   .
                 40. . Agricultural support . estimate for OECD .countries as a percentage .of their .gross domestic. .
                         .  .    .   .   .       .   .    .   .       .   .    .    .  .   .         .        .   .   .
           .   .     .
                       product . . . . . . . . . . . . . . . . . . . . . . .
                         .  .
                                                                                                                               79
           .   .
                 41. . Proportion of ODA provided .to help .build trade .capacity . . . . . . . . . .
                         .  .    .   .   .   .   .        .       .   .        .    .
                                                                                                                               81
                 42. Total number of countries that have reached their HIPC decision points
           .   .     .
                       and number .that have reached their HIPC completion points (cumulative) . . . . . .
                         .  .    .       .   .   .   .    .   .   .   .   .    .    .  .   .     .   .
                                                                                                                               82
           .   .
                 43. . Debt. relief committed under. HIPC Initiative . . . . . . . . . . . . . .
                         .       .   .   .   .   .        .   .   .
                                                                                                                               84
           .   .
                 44. . Debt. service. as a percentage of. exports of .goods and services. . . . . . . . .
                         .       .       .   .   .   .        .   .       .    .    .  .
                                                                                                                               85
           .   .
                 45. . Unemployment rate .of young people aged 15–24 years, each sex and .total . . . . .
                         .  .    .   .   .       .   .    .   .   .   .   .    .    .  .   .     .        .
                                                                                                                               86
                 46. Proportion of population with access to affordable essential drugs on a
           .   .     .
                       sustainable basis . . . . . . . . . . . . . . . . . . . .
                         .  .    .   .   .
                                                                                                                               88
           .   .
                 47. . Telephone lines and .cellular .subscribers. per. 100 population . . . . . . . . .
                         .  .    .   .   .       .        .   .           .    .    .  .
                                                                                                                               89
           .   .
                 48. . Personal. computers .in use per 100 .population . . . . . . . . . . . . .
                         .  .        .   .       .   .    .       .   .
                                                                                                                               90
           .   .     .
                       Internet .users per 100 population . . . . . . . . . . . . . . . .
                         .  .        .   .   .   .   .    .
                                                                                                                               91
           .   .
                 Annex 1. Additional socio-economic common. country assessment indicators . . . . . .
                     .   .  .    .   .   .   .   .   .    .   .       .   .    .    .  .   .     .   .
                                                                                                                               93
           .   .
                 CCA.19. . Proportion of children under. age 15. who are working . . . . . . . . . .
                            .    .   .   .   .   .   .        .       .   .    .    .
                                                                                                                               93
           .   .
                 CCA.30. . Employment. to population of working age ratio. . . . . . . . . . . .
                            .    .   .       .   .   .    .   .   .   .   .
                                                                                                                               94
           .   .
                 CCA.31. . Unemployment rate . . . . . . . . . . . . . . . . . . .
                            .    .   .   .   .
                                                                                                                               95
           .   .
                 CCA.32. . Informal .sector employment. as .a percentage of. employment . . . . . . . .
                            .    .       .   .   .   .            .   .   .         .  .   .
                                                                                                                               96
           .   .
                 CCA.41. . Number of persons per room, or average floor area. per. person. . . . . . . .
                            .    .   .   .   .   .   .    .   .   .   .   .    .           .
                                                                                                                               97
           .   .
                 CCA.43. . Number of intentional homicides per 100,000 inhabitants . . . . . . . . .
                            .    .   .   .   .   .   .    .   .   .   .   .    .    .  .
                                                                                                                               98
           .   .
                 Annex 2. Household surveys and other national data .sources. . . . . . . . . . . 100
                     .   .  .    .   .   .   .   .   .    .   .   .   .        .
           .   .
                 Annex 3. Web .sites (see also references in the metadata .sheets). . . . . . . . . . 105
                     .   .  .        .   .   .   .   .    .   .   .   .   .         .
           .   .
                 Annex 4. World summits and conferences. . . . . . . . . . . . . . . . 106
                     .   .  .    .   .   .   .   .   .    .




vi
Definitions, Rationale, Concepts and Sources




A B B R E V I AT I O N S
        A, C, E, F, R, S   Translated publications available in Arabic, Chinese, English,
                           French, Russian and Spanish, at http://unstats.un.org.unsd/pubs/
        CCA                common country assessment
        CFCS               chlorofluorocarbons
        c.i.f.             cost, insurance and freight
        CWIQ               Core Welfare Indicators Questionnaire in Africa
        DAC                Development Assistance Committee of the OECD
        DHS                Demographic and Health Survey
        DOTS               internationally recommended tuberculosis control strategy
        DPT                diphtheria, pertussis and tetanus vaccine
        EPI                Expanded Programme on Immunization
        FAO                Food and Agriculture Organization of the United Nations
        f.o.b.             free on board
        GDP                gross domestic product
        GNI                gross national income
        GNP                gross national product
        HBS                household budget survey
        HIPC               Heavily Indebted Poor Countries Initiative
        ICES               income, consumption and expenditure survey
        ILO                Internatonal Labour Organization
        IMF                International Monetary Fund
        IPU                Inter-Parliamentary Union
        ISCED 97           International Standard Classification of Education, 1997 version
        ISIC               International Standard Industrial Classification of All Economic
                           Activities
        ITU                International Telecommunication Union
        IUCN               International Union for Conservation of Nature and Natural
                           Resources–The World Conservation Union
        Kg                 kilogram
        LDCs               least developed countries
        LFS                labour force surveys
        LSMS               Living Standards Measurement Study
        MICS               Multiple Indicator Cluster Survey
        NCHS               National Center for Health Statistics
        ODA                official development assistance
        ODP                ozone-depleting potential
        OECD               Organisation for Economic Co-operation and Development
        PCs                personal computers
        PPP                purchasing power parity
        TCBDB              trade capacity-building database
        TRAINS             Trade Analysis and Information System
        UN-HABITAT         United Nations Human Settlements Programme
        UNAIDS             Joint United Nations Programme on HIV/AIDS
        UNDP               United Nations Development Programme
        UNESCO             United Nations Educational, Scientific and Cultural Organization

                                                                                                  vii
Indicators for Monitoring the Millennium Development Goals




       MEMBERS AND CONTRIBUTORS TO THE UNITED NATIONS
       DEVELOPMENT GROUP WORKING GROUP ON INDICATORS
                                                               United Nations Human Settlements Programme
                                                               Laura Licchi
          United Nations Population Fund
          Richard Leete, Chair                                 World Food Programme
          Iqbal Alam                                           Patricia Kennedy
          Kourtoum Nacro
          Mickie Schoch                                        Food and Agriculture Organization of the
                                                               United Nations
          Department of Economic and Social                    Jorge Mernies
          Affairs Statistics Division
                                                               Toshiko Murata
          Stefan Schweinfest, Vice Chair
          Robert Johnston                                      International Labour Organization
          Giselle Kamanou                                      Sophia Lawrence
          Francesca Perucci
                                                               International Telecommunication Union
          United Nations Development Programme                 Esperanza Magpantay
          Diana Alarcon, Vice Chair
          Jan Vandemoortele                                    United Nations Educational, Scientific and
          Haishan Fu                                           Cultural Organization
                                                               Denise Lievesley
          United Nations Development Group Office              José Pessoa
          Gerton van den Akker
          Alain Nickels                                        World Bank
          Heidi Swindells                                      Neil Fantom
          Tom Griffin (consultant)                             Makiko Harrison
                                                               Eric Swanson
          Executive Office of the Secretary-General
          Madhushree Dasgupta                                  World Health Organization
                                                               Christopher Murray
          United Nations Office on Drugs and Crime             Carla AbouZahr
          Andrea Treso
                                                               World Trade Organization
          Office of the United Nations High Commissioner for   Guy Karsenty
          Human Rights
          Goro Onojima                                         United Nations Framework Convention on
                                                               Climate Change
          Joint United Nations Programme on HIV/AIDS           James Grabert
          Peter Ghys
                                                               Inter-Parliamentary Union
          United Nations Children’s Fund                       Kareen Jabre
          Gareth Jones
          Tessa Wardlaw                                        Organisation for Economic Co-operation
                                                               and Development
          United Nations Development Fund for Women            Brian Hammond
          Suzette Mitchell                                     Simon Scott

          United Nations Environment Programme
          Stuart Chape
          Marion Cheatle
          Volodymyr Demkine
          Eugene Fosnight
          Phillip Fox
          Gerald Mutisya



viii
Definitions, Rationale, Concepts and Sources




INTRODUCTION
    Indicators for Monitoring the Millennium Development Goals: Definitions, Rationale,
    Concepts and Sources contains basic metadata on the agreed list of quantitative
    indicators for monitoring progress towards the eight goals and 18 targets derived
    from the United Nations Millennium Declaration (table). The list of indicators, devel-
    oped using several criteria, is not intended to be prescriptive but to take into
    account the country setting and the views of various stakeholders in preparing
    country-level reports.

    Five main criteria guided the selection of indicators. Indicators should:
    I Provide relevant and robust measures of progress towards the targets of the

       Millennium Development Goals
    I Be clear and straightforward to interpret and provide a basis for international

       comparison
    I Be broadly consistent with other global lists and avoid imposing an unnecessary

       burden on country teams, Governments and other partners
    I Be based to the greatest extent possible on international standards, recommen-

       dations and best practices
    I Be constructed from well-established data sources, be quantifiable and be con-

       sistent to enable measurement over time

    The present handbook is designed to provide United Nations country teams and
    national and international stakeholders with guidance on the definitions, rationale,
    concepts and sources of the data for the indicators that are being used to monitor
    the Millennium Development Goals. Just as the indicator list is dynamic and will nec-
    essarily evolve in response to changing national situations, so will the metadata
    change over time as concepts, definitions and methodologies change.

    A consultation process, generally involving the national statistical office or other
    national authority, should be initiated in the selection and compilation of country-
    specific indicators. The consultation should take into account national development
    priorities, the suggested list of indicators and the availability of data. The United
    Nations country team should work collaboratively to help build ownership and con-
    sensus on the selected indicators.

    NATIONAL SOURCES
    Country data should be used for compiling the indicators where such data are avail-
    able and of reasonable quality. The data source for each indicator and the quantita-
    tive value of the indicator should be decided by consensus among the key stake-
    holders, especially the national statistical system. The national statistical system
    should own the data and related indicators.

    For any given indicator, a wide range of data sources may be available within the
    country, and each source should be critically reviewed. Existing data sources and
    reporting systems should be used where possible, particularly where line ministries
    have their own statistical systems. International data sources should be consulted

                                                                                                1
Indicators for Monitoring the Millennium Development Goals




             for validation and in the absence of national sources.

             METADATA SHEETS
             For each indicator used to measure progress towards the targets and goals, the
             handbook provides all or some of the following information:
                 I A simple operational definition

                I The goal and target it addresses

                I The rationale for use of the indicator

                I The method of computation

                I Sources of data

                I References, including relevant international Web sites

                I Periodicity of measurement

                I Gender and disaggregation issues

                I Limitations of the indicator

                I National and international agencies involved in the collection, compilation or

                   dissemination of the data

             The intention is not to provide an exhaustive amount of information for each item,
             but to provide a reference point and guidance for country teams and national stake-
             holders. The amount of information varies by indicator and tends to reflect the
             extent of national and international debate on its relevance. Limited information is
             available for some of the less well-established indicators. With further use of the
             indicators and greater recognition of the need for such data, fuller information is
             expected to become available.

             Monitoring of the Millennium Development Goals is taking place globally, through
             annual reports of the United Nations Secretary-General to the General Assembly and
             through periodic country reporting. For global reporting, use is made of indicators
             compiled by international organizations. Internationally compiled indicators, based
             on standard concepts, definitions and methodologies, more readily facilitate cross-
             country comparisons. For country reporting, use is generally made of indicators com-
             piled from national sources, generally by the national statistical system. The meta-
             data sheets for the indicators reflect national and international standards.

             ANNEX 1 provides metadata for some additional indicators included in the common
             country assessment indicator framework; the indicators for Millennium Development
             Goals 1–7 are a subset of that framework. ANNEX 2 supplies information on the house-
             hold surveys and national sources mentioned in the metadata for constructing the
             indicators. ANNEX 3 gives the World Wide Web addresses of the agencies involved. ANNEX
             4 lists the major world summits and conferences that have helped to shape the
             Millennium Development Goals and indicators.




2
Definitions, Rationale, Concepts and Sources


Goals, targets and indicators
                          GOALS AND TARGETS                                                          INDICATORS FOR MONITORING PROGRESS
                    FROM THE MILLENNIUM DECLARATION

  GOAL 1: ERADICATE EXTREME POVERTY AND HUNGER
                                                                                                                                                      a
  TARGET 1:    Halve, between 1990 and 2015, the proportion of people whose income is          1.     Proportion of population below $1 (PPP) per day
               less than one dollar a day                                                      1A.    Poverty headcount ratio (percentage of population below the national poverty
                                                                                                      line)
                                                                                               2.     Poverty gap ratio [incidence x depth of poverty]
                                                                                               3.     Share of poorest quintile in national consumption
  TARGET 2:    Halve, between 1990 and 2015, the proportion of people who suffer from          4.     Prevalence of underweight children under 5 years of age
               hunger                                                                          5.     Proportion of population below minimum level of dietary energy consumption

  GOAL 2: ACHIEVE UNIVERSAL PRIMARY EDUCATION

  TARGET 3:    Ensure that, by 2015, children everywhere, boys and girls alike, will be able   6.     Net enrolment ratio in primary education
                                                                                                                                                              b
               to complete a full course of primary schooling                                  7.     Proportion of pupils starting grade 1 who reach grade 5
                                                                                               8.     Literacy rate of 15–24 year-olds

  GOAL 3: PROMOTE GENDER EQUALITY AND EMPOWER WOMEN

  TARGET 4 :   Eliminate gender disparity in primary and secondary education, preferably       9.     Ratio of girls to boys in primary, secondary and tertiary education
               by 2005, and in all levels of education no later than 2015                      10.    Ratio of literate women to men, 15–24 years old
                                                                                               11.    Share of women in wage employment in the non-agricultural sector
                                                                                               12.    Proportion of seats held by women in national parliament

  GOAL 4: REDUCE CHILD MORTALITY

  TARGET 5 :   Reduce by two thirds, between 1990 and 2015, the under-five mortality rate      13.    Under-five mortality rate
                                                                                               14.    Infant mortality rate
                                                                                               15.    Proportion of 1 year-old children immunized against measles

  GOAL 5: IMPROVE MATERNAL HEALTH

  TARGET 6 :   Reduce by three quarters, between 1990 and 2015, the maternal                   16.    Maternal mortality ratio
               mortality ratio                                                                 17.    Proportion of births attended by skilled health personnel

  GOAL 6: COMBAT HIV/AIDS, MALARIA AND OTHER DISEASES

  TARGET 7 :   Have halted by 2015 and begun to reverse the spread of HIV/AIDS                 18.  HIV prevalence among pregnant women aged 15–24 years
                                                                                                                                                         c
                                                                                               19.  Condom use rate of the contraceptive prevalence rate
                                                                                               19A. Condom use at last high-risk sex
                                                                                               19B. Percentage of population aged 15-24 years with comprehensive correct knowl-
                                                                                                                     d
                                                                                                    edge of HIV/AIDS
                                                                                               19C. Contraceptive prevalence rate
                                                                                               20. Ratio of school attendance of orphans to school attendance of non-orphans
                                                                                                    aged 10–14years

  TARGET 8 :   Have halted by 2015 and begun to reverse the incidence of malaria and           21.    Prevalence and death rates associated with malaria
               other major diseases                                                            22.    Proportion of population in malaria-risk areas using effective malaria prevention
                                                                                                                              e
                                                                                                      and treatment measures
                                                                                               23.    Prevalence and death rates associated with tuberculosis
                                                                                               24.    Proportion of tuberculosis cases detected and cured under DOTS

  GOAL 7: ENSURE ENVIRONMENTAL SUSTAINABILITY

  TARGET 9 :   Integrate the principles of sustainable development into country policies       25.    Proportion of land area covered by forest
               and programmes and reverse the loss of environmental resources                  26.    Ratio of area protected to maintain biological diversity to surface area
                                                                                               27.    Energy use (kg oil equivalent) per $1 GDP (PPP)
                                                                                               28.    Carbon dioxide emissions per capita and consumption of ozone-depleting CFCs
                                                                                                      (ODP tons)
                                                                                               29.    Proportion of population using solid fuels
  TARGET 10 : Halve, by 2015, the proportion of people without sustainable access to safe      30.    Proportion of population with sustainable access to an improved water
              drinking water and basic sanitation                                                     source, urban and rural
                                                                                               31.    Proportion of population with access to improved sanitation, urban and rural
  TARGET 11 : By 2020, to have achieved a significant improvement in the lives of at least     32.    Proportion of households with access to secure tenure
              100 million slum dwellers




                                                                                                                                                                                 3
Indicators for Monitoring the Millennium Development Goals




   GOAL 8: DEVELOP A GLOBAL PARTNERSHIP FOR DEVELOPMENT
                                                                                              Some of the indicators listed below are monitored separately for the least developed
                                                                                              countries (LDCs), Africa, landlocked countries and small island developing States.

   TARGET 12 : Develop further an open, rule-based, predictable, non-discriminatory trad-            Official development assistance
               ing and financial system                                                       33.    Net ODA, total and to the least developed countries, as a percentage of OECD/DAC
                                                                                                     donors’ gross national income
                Includes a commitment to good governance, development and poverty
                                                                                              34.    Proportion of total bilateral, sector-allocable ODA of OECD/DAC donors to basic
                reduction – both nationally and internationally
                                                                                                     social services (basic education, primary health care, nutrition, safe water and
                                                                                                     sanitation)
   TARGET 13 : Address the special needs of the least developed countries
                                                                                              35.    Proportion of bilateral official development assistance of OECD/DAC donors that is
                Includes: tariff and quota free access for the least developed countries’            untied
                exports; enhanced programme of debt relief for heavily indebted poor          36.    ODA received in landlocked countries as a proportion of their gross national
                countries (HIPC) and cancellation of official bilateral debt; and more gen-          incomes
                erous ODA for countries committed to poverty reduction                        37.    ODA received in small island developing States as proportion of their gross nation-
                                                                                                     al incomes
   TARGET 14 : Address the special needs of landlocked countries and small island devel-
                                                                                                     Market access
               oping States (through the Programme of Action for the Sustainable
                                                                                              38.    Proportion of total developed country imports (by value and excluding arms) from
               Development of Small Island Developing States and the outcome of the
                                                                                                     developing countries and and from the least developed countries, admitted free of
               twenty-second special session of the General Assembly)
                                                                                                     duty
                                                                                              39.    Average tariffs imposed by developed countries on agricultural products and tex-
   TARGET 15 : Deal comprehensively with the debt problems of developing countries
                                                                                                     tiles and clothing from developing countries
               through national and international measures in order to make debt sus-
                                                                                              40.    Agricultural support estimate for OECD countries as a percentage of their gross
               tainable in the long term
                                                                                                     domestic product
                                                                                              41.    Proportion of ODA provided to help build trade capacity

                                                                                                     Debt sustainability
                                                                                              42.    Total number of countries that have reached their HIPC decision points and num-
                                                                                                     ber that have reached their HIPC completion points (cumulative)
                                                                                              43.    Debt relief committed under HIPC Initiative
                                                                                              44.    Debt service as a percentage of exports of goods and services
                                                                                                                                                                                f
   TARGET 16 : In cooperation with developing countries, develop and implement strate-        45.    Unemployment rate of young people aged 15-24 years, each sex and total
               gies for decent and productive work for youth

   TARGET 17 : In cooperation with pharmaceutical companies, provide access to afford-        46.    Proportion of population with access to affordable essential drugs on a sustainable
               able essential drugs in developing countries                                          basis

   TARGET 18 : In cooperation with the private sector, make available the benefits             47. Telephone lines and cellular subscribers per 100 population
               of new technologies, especially information and communications                 48A. Personal computers in use per 100 population and Internet users per 100 population
                                                                                              48B. Internet users per 100 population




THE MILLENNIUM DEVELOPMENT GOALS and targets come from the Millennium Declaration, signed by 189 countries,
including 147 heads of State and Government, in September 2000 (http://www.un.org.millennium/declaration/
ares552e.htm). The goals and targets are interrelated and should be seen as a whole. They represent a partnership
between the developed countries and the developing countries “to create an environment – at the national and global
levels alike – which is conducive to development and the elimination of poverty”.

 Note: Goals, targets and indicators effective 8 September 2003.
 a For monitoring country poverty trends, indicators based on nation-                               healthy-looking person can transmit HIV. However, since there are
    al poverty lines should be used, where available.                                               currently not a sufficient number of surveys to be able to calculate
                                                                                                    the indicator as defined above, UNICEF, in collaboration with
 b An alternative indicator under development is “primary completion                                UNAIDS and WHO, produced two proxy indicators that represent
    rate”.                                                                                          two components of the actual indicator. They are the following: (a)
 c Among contraceptive methods, only condoms are effective in pre-                                  percentage of women and men 15-24 who know that a person can
    venting HIV transmission. Since the condom use rate is only meas-                               protect herself from HIV infection by “consistent use of condom”;
    ured among women in union, it is supplemented by an indicator on                                (b) percentage of women and men 15-24 who know a healthy-
    condom use in high-risk situations (indicator 19a) and an indicator                             looking person can transmit HIV.
    on HIV/AIDS knowledge (indicator 19b). Indicator 19c (contracep-                          e Prevention to be measured by the percentage of children under 5
    tive prevalence rate) is also useful in tracking progress in other                          sleeping under insecticide-treated bednets; treatment to be meas-
    health, gender and poverty goals.                                                           ured by percentage of children under 5 who are appropriately
 d This indicator is defined as the percentage of population aged 15-                           treated.
    24 who correctly identify the two major ways of preventing the                            f An improved measure of the target for future years is under devel-
    sexual transmission of HIV (using condoms and limiting sex to one                           opment by the International Labour Organization.
    faithful, uninfected partner), who reject the two most common
    local misconceptions about HIV transmission, and who know that a


     4
Definitions, Rationale, Concepts and Sources




 1 PROPORTION OF POPULATION                             tion) curves weighted by household size. In all
     BELOW $1 PURCHASING POWER                          cases measures of poverty to obtain Lorenz
PARITY(PPP) PER DAY                                     curves are calculated from primary data
                                                        sources rather than existing estimates.
DEFINITION
Proportion of population below $1 per day is            Poverty in a country is estimated by converting
the percentage of the population living on less         the one dollar a day poverty line to local curren-
than $1.08 a day at 1993 international prices.          cy using the latest purchasing power parity
The one dollar a day poverty line is compared           (PPP) exchange rates for consumption taken
to consumption or income per person and                 from World Bank estimates. Local consumer
includes consumption from own production                price indices are then used to adjust the inter-
and income in kind. This poverty line has               national poverty line in local currency to prices
fixed purchasing power across countries or              prevailing around the time of the surveys. This
areas and is often called an “absolute poverty          international poverty line is used to identify how
line” or measure of extreme poverty.                    many people are below the one dollar a day
                                                        threshold.
GOAL AND TARGET ADDRESSED
Goal 1. Eradicate extreme poverty and hunger            The PPP-based international poverty line is
Target 1. Halve, between 1990 and 2015, the             required only to allow comparisons across
proportion of people whose income is less               countries and to produce estimates of pover-
than one dollar a day                                   ty at the aggregate level. Most countries also
                                                        set their own poverty lines (SEE INDICATOR 1A).
RATIONALE
The indicator allows for comparing and aggre-           DATA COLLECTION AND SOURCE
gating progress across countries in reducing the        The indicator is produced by the World Bank
number of people living under extreme poverty           Development Research Group based on data
and for monitoring trends at the global level.          obtained from government statistical offices
                                                        and World Bank country departments. It is not
METHOD OF COMPUTATION                                   normally calculated by national agencies.
The World Bank regularly estimates poverty
based on the one dollar a day poverty line.             Data on household income, consumption and
Estimates are based on incomes or consump-              expenditure, including income in kind, are
tion levels derived from household surveys.             generally collected through household budget
Whenever possible, consumption is preferred             surveys or other surveys covering income and
to income for measuring poverty. When con-              expenditure.
sumption data are not available, income is
used.                                                   When available, household consumption data
                                                        are preferred to income data. National statis-
Consumption, which includes consumption                 tical offices, sometimes in conjunction with
for own production, or income per person, and           other national or international agencies, usu-
its distribution are estimated from household           ally undertake such surveys.
surveys. Household consumption or income is
divided by the number of people in the house-           Only surveys that meet the following criteria are
hold to establish the income per person.                used: they are nationally representative, include
                                                        a sufficiently comprehensive consumption or
The distribution of consumption or income is            income aggregate (including consumption or
estimated using empirical Lorenz (distribu-             income from own production), and they allow for




                                                                                                             5
Indicators for Monitoring the Millennium Development Goals




    the construction of a correctly weighted distri-   The one dollar a day poverty measure is used
    bution of consumption or income per person.        to assess and monitor poverty at the global
                                                       level, but like other indicators it is not equally
    The most recent estimates of PPP for devel-        relevant in all regions because countries have
    oping countries are based on data collected        different       definitions      of      poverty.
    between 1993 and 1996, standardized to             Measurements of poverty in countries are
    1993 international prices. Global price com-       generally based on national poverty lines.
    parisons are carried out by the International
    Comparison Programme of the World Bank             PPP exchange rates are used because they
    and others. New estimates of PPPs are              take into account the local prices of goods
    expected in 2006.                                  and services that are not traded internation-
                                                       ally. Although PPP rates were designed for
    PERIODICITY OF MEASUREMENT                         comparing aggregates from national
    Household budget or income surveys are             accounts, they may not fully reflect the com-
    undertaken at different intervals in different     parative cost of goods typically consumed by
    countries. In developing countries they typi-      the very poor.
    cally take place every three to five years.
                                                       There are also problems in comparing poverty
    PPP surveys are conducted at infrequent            measures within countries, especially for urban-
    intervals. The last price survey through the       rural differences. The cost of living is typically
    International Comparison Programme was             higher in urban than in rural areas, so the urban
    completed in 1996, and the next will begin in      monetary poverty line should be higher than the
    2003. It is, however, possible to extrapolate      rural monetary poverty line. However, it is not
    from PPP surveys, and the World Bank con-          always clear that the difference between the
    version factors are calculated in this way.        two poverty lines found in practice properly
                                                       reflects the difference in the cost of living.
    GENDER ISSUES
    Households headed by women tend to have            In considering whether to use income or con-
    lower incomes and are therefore more likely        sumption as a welfare indicator, income is
    to have incomes per person lower than one          generally more difficult to measure accurate-
    dollar. However, this relationship should be       ly, and consumption accords better with the
    carefully studied to take into account nation-     idea of the standard of living than income,
    al circumstances and the definition of head of     which can vary over time even if the standard
    household adopted in data collection, which is     of living does not. Nevertheless, consumption
    not necessarily related to being the chief         data are not always available, and when they
    source of economic support. Whether house-         are not there is little choice but to use income.
    holds are headed by women or men, gender
    relations affect intrahousehold resource allo-     There is also a problem with comparability
    cation and use. It is not possible to estimate     across surveys: household survey question-
    sex-disaggregated poverty rates from avail-        naires can differ widely, and even similar sur-
    able data.                                         veys may not be strictly comparable because
                                                       of differences in quality.
    DISAGGREGATION ISSUES
    It is sometimes possible to disaggregate this      Even if surveys are entirely accurate, the
    indicator by urban-rural location.                 measure of poverty can miss some important
                                                       aspects of individual welfare. First, using
    COMMENTS AND LIMITATIONS                           household consumption ignores inequalities




6
Definitions, Rationale, Concepts and Sources




within households. Second, the measure does                http://www.worldbank.org/poverty/library
not reflect people’s feeling about relative                /progr/2000-01/execsum.htm.
deprivation or their concerns about uninsured              WORLD BANK (2003 and annual). World
risks to their income and health.                          Development Indicators. Print and CD-ROM.
                                                           Table 2.6. Washington, D.C. Available in
Comparisons across countries at different levels           part from http://www.worldbank.org/data.
of development may also pose a problem, owing              WORLD BANK (2003). Data and Statistics.
to differences in the relative importance of con-          Internet site http://www.worldbank.org/
sumption of non-market goods.                              data . Washington, D.C.
                                                           WORLD BANK (2003). Poverty Reduction
REFERENCES AND INTERNATIONAL DATA                          Strategy Sourcebook, vol. 1, Core tech-
COMPARISONS                                                niques: Poverty Measurement and Analysis.
  CHEN, SHAOCHUA, and MARTIN RAVALLION                     Washington, D.C. Available from http://
  (2002). How Did the World’s Poorest Fare in              www. worldbank.org/poverty/strategies/
  the 1990s?, Working Paper No. 2409, pp.1-5.              sourcons.htm .
  Washington, D.C.: World Bank. Available
  from http://www.worldbank.org/research/                AGENCY
  povmonitor/publications.htm.                           World Bank
  HESTON, ALAN, ROBERT SUMMERS and BETTINA
  ATEN (2002). Penn World Tables 6.1. Internet
  site http://datacentre2.chass.utoronto.ca/pwt .
  UNITED NATIONS (1992). Handbook of the
                                                         1-A POVERTY HEADCOUNT RATIOBELOW
                                                             CENTAGE OF POPULATION
                                                                                     (PER-

  International Comparison Programme.                          THE NATIONAL POVERTY LINE)
  Series F, No. 62 (United Nations publica-
  tion, Sales No. E.92.XVII.12). Available from          DEFINITION
  http://unstats.un.org/unsd/pubs. (A, C, E,             The poverty headcount ratio is the proportion
  F, R, S)                                               of the national population whose incomes are
  UNITED NATIONS (2003). Millennium Indicators           below the official threshold (or thresholds) set
  Database. Statistics Division Internet site            by the national Government. National poverty
  http://millenniumindicators.un.org.                    lines are usually set for households of various
  UNITED NATIONS DEVELOPMENT PROGRAMME                   compositions to allow for different family
  (2003 and annual). Human Development                   sizes. Where there are no official poverty
  Report. New York: Oxford University Press.             lines, they may be defined as the level of
  Available from http://hdr.undp.org.                    income required to have only sufficient food
  UNITED NATIONS, COMMISSION OF THE EUROPEAN             or food plus other necessities for survival.
  COMMUNITIES, INTERNATIONAL MONETARY FUND,
  ORGANISATION FOR ECONOMIC CO-OPERATION AND             GOAL AND TARGET ADDRESSED
  DEVELOPMENT AND WORLD BANK (1994).                     Goal 1. Eradicate extreme poverty and hunger
  System of National Accounts 1993 (SNA                  Target 1. Halve, between 1990 and 2015, the
  1993), Series F, No. 2, Rev. 4 (United Nations         proportion of people whose income is less
  publication, Sales No. E.94.XVII.4), paras.            than one dollar a day
  9.45, 16.80-16.83. Available with updates
  from http://unstats.un.org/unsd/sna1993.               RATIONALE
  WORLD BANK (2001). Poverty Reduction and               The indicator allows for monitoring the pro-
  the World Bank: Progress in Operationaliz-             portion of the national population that is con-
  ing the World Development Report                       sidered poor by a national standard. Most
  2000/01. Washington, D.C. Available from               poverty analysis work for countries is based




                                                                                                            7
Indicators for Monitoring the Millennium Development Goals




    on national poverty lines. National poverty         cally take place every three to five years.
    lines tend to increase in purchasing power          GENDER ISSUES
    with the average level of income of a country.      Households headed by women tend to have
                                                        lower incomes and are therefore more likely
    METHOD OF COMPUTATION                               to have incomes per person below the pover-
    Household income (or consumption) and its           ty line. However, this relationship should be
    distribution are estimated from household           carefully studied to take into account nation-
    surveys (SEE INDICATOR 1). The incomes of various   al circumstances and the definition of head of
    household types, by composition, may then           household adopted in data collection, which is
    be compared with the poverty lines for those        not necessarily related to being the chief
    types of household. If the poverty lines are        source of economic support. Whether house-
    expressed in terms of income per adult equiv-       holds are headed by women or men, gender
    alent or some similar measure, the incomes of       relations affect intrahousehold resource allo-
    the households must be measured on a simi-          cation and use.
    lar basis. Household income may be convert-
    ed to income per adult equivalent by using          DISAGGREGATION ISSUES
    the modified equivalence scale of the               Disaggregation of the poverty headcount
    Organisation for Economic Co-operation and          index is normally limited by the size of the
    Development (OECD)—in which the first               household survey. It is common, however, for
    household member over 16 equals 1, all others       indices to be produced for urban and rural
    over 16 equal 0.5, all under 16 equal 0.3 —or       areas and for some subnational levels as the
    some other equivalence scale. Household             sample allows. Estimates at low levels of dis-
    incomes are then divided by the “equivalized”       aggregation may be made using “poverty
    number of people in the household (two adults       mapping” techniques, which use the lower
    would equal 1.5 according to the OECD scale)        levels of disaggregation available from popu-
    to establish income per person.                     lation censuses, particularly where the timing
                                                        of the population census and household sur-
    Once the number of households that are              vey is relatively close. Wherever household
    below the poverty line has been estimated,          surveys provide income or consumption data
    the number of people in those households is         disaggregated by sex of household heads,
    aggregated to estimate the percentage of the        these data should be used.
    population below the line.
                                                        COMMENTS AND LIMITATIONS
    DATA COLLECTION AND SOURCE                          The advantage of this indicator is that it is
    Data on household income, consumption and           specific to the country in which the data are
    expenditure, including income in kind, are          collected and where the poverty line is estab-
    generally collected through household budget        lished. While the one dollar a day poverty line
    surveys or other surveys covering income and        helps in making international comparisons,
    expenditure.                                        national poverty lines are used to make more
                                                        accurate estimates of poverty consistent with
    National statistical offices, sometimes in con-     the characteristics and level of development
    junction with other national or international       of each country. The disadvantage is that
    agencies, usually undertake such surveys.           there is no universally agreed poverty line,
                                                        even in principle, and international compar-
    PERIODICITY OF MEASUREMENT                          isons are not feasible.
    Household budget or income surveys are
    undertaken at different intervals in different      There are also problems in comparing poverty
    countries. In developing countries they typi-       measures within countries, especially for



8
Definitions, Rationale, Concepts and Sources




urban and rural differences. The cost of living
is typically higher in urban than in rural areas,
                                                          2 POVERTY GAP RATIO (INCIDENCE
                                                            MULTIPLIED BY DEPTH OF POVER-
so the urban monetary poverty line should be                   TY)
higher than the rural monetary poverty line.
But it is not always clear that the difference           DEFINITION
between the two poverty lines found in prac-             Poverty gap ratio is the mean distance sepa-
tice properly reflects the difference in the             rating the population from the poverty line
cost of living.                                          (with the non-poor being given a distance of
                                                         zero), expressed as a percentage of the
REFERENCES AND INTERNATIONAL DATA                        poverty line.
COMPARISONS
  CANBERRA GROUP ON HOUSEHOLD INCOME                     GOALAND TARGET ADDRESSED
  STATISTICS (2001). Expert Group on                     Goal 1. Eradicate extreme poverty and hunger
  Household Income Statistics: Final Report              Target 1. Halve, between 1990 and 2015, the
  and Recommendations. Ottawa. Available                 proportion of people whose income is less
  from http://www.lisproject.org/links/canb              than one dollar a day
  access.htm.
  SWEDEN, STATISTICS SWEDEN (1996). Engendering          RATIONALE
  Statistics: A Tool for Change. Stockholm.              The indicator measures the “poverty deficit”
  UNITED NATIONS (2003). Millennium Indicators           of the entire population, where the poverty
  Database. Statistics Division Internet site            deficit is the per capita amount of resources
  http://millenniumindicators.un.org.                    that would be needed to bring all poor people
  UNITED NATIONS DEVELOPMENT PROGRAMME                   above the poverty line through perfectly tar-
  (2003 and annual). Human Development                   geted cash transfers.
  Report. New York, Oxford University Press.
  Available from http://hdr.undp.org.                    METHOD OF COMPUTATION
  WORLD BANK (2003 and annual). World                    The poverty gap ratio is the sum of the
  Development Indicators. Print and CD-ROM.              income gap ratios for the population below
  Notes to table 2.6. Washington, D.C.                   the poverty line, divided by the total popula-
  Available in part from http://www.world                tion, which can be expressed as follows:
  bank.org/data.
  WORLD BANK (2003). Poverty Reduction                                     1 q  z − yi 
  Strategy Sourcebook, vol. 1, Core Techniques:                    PG =      ∑
                                                                           n i =1  z 
  Poverty Measurement and Analysis.
                                                                                       
  Washington,        D.C.     Available   from           where z is the poverty line, Yi is the income of
  http://www.worldbank.org/poverty/                      individual i, q is the number of poor people and
  strategies/sourcons.htm.                               n is the size of the population. The poverty
                                                         gap can also be expressed (and thus calculated)
AGENCIES                                                 as the product of the average income gap
National statistical offices                             ratio of poor people and the headcount ratio,
World Bank                                               that is,

                                                         where

                                                                        PG = I * H
                                                         where
                                                                           q    z − yq
                                                                      H=     I=
                                                                           n       z

                                                                                                            9
Indicators for Monitoring the Millennium Development Goals




                            ,                           the distance is meaningful. For example, the
     where                                              poverty gap in education could be the number
                          1 q                           of years of education missing to reach the
                   yq =     ∑ yi
                          q i =1
                                                        defined threshold.

     All the formulas are calculated based on data      REFERENCES AND INTERNATIONAL DATA
     on individuals ( yi as individual income or con-   COMPARISONS
     sumption). If household-level data are used,         CHEN, SHAOCHUA, and MARTIN RAVALLION (2002).
     the formulas have to be adjusted by the              How Did the World’s Poorest Fare in the
     weight wi, which is the household size times         1990s? Working Paper No. 2409, pp.1-5.
     sampling expansion factor for every house-           World Bank, Washington, D.C. Available
     hold i.                                              from http://www.worldbank.org/research/
                                                          povmonitor/publications.htm .
     DATA COLLECTION AND SOURCE                           UNITED NATIONS (2003). Millennium Indicators
     When based on the $1 a day poverty line, this        Database. Statistics Division Internet site
     indicator is calculated by the World Bank.           http://millenniumindicators.un.org .
     When based on national poverty lines, the            WORLD BANK (2003 and annual). World
     indicator is commonly calculated by national         Development Indicators. Print and CD-ROM.
     agencies.                                            Washington, D.C. Available in part from
                                                          http://www.worldbank.org/data .
     The data required are the same as those for          WORLD BANK (2003). Poverty Reduction
     indicator 1.                                         Strategy Sourcebook, vol. 1, Core Techniques:
                                                          Poverty Measurement and Analysis.
     PERIODICITY OF MEASUREMENT                           Washington,      D.C.     Available     from
     Household budget or income surveys are               http://www.worldbank.org/poverty/
     undertaken at different intervals in different       strategies/sourcons.htm.
     countries. In developing countries, they typi-
     cally take place every three to five years.        AGENCIES
                                                        National statistical offices
     GENDER ISSUES                                      World Bank
     Households headed by women may be con-
     centrated in the bottom fifth. However, this
     relationship should be carefully studied to
     take into account national circumstances and
                                                         3 SHARE OFCONSUMPTION
                                                           NATIONAL
                                                                    POOREST QUINTILE IN

     the definition of head of household adopted
     in data collection, which is not necessarily       DEFINITION
     related to being the chief source of economic      Share of the poorest quintile in national con-
     support. Whether households are headed by          sumption is the income that accrues to the
     women or men, gender relations affect intra-       poorest fifth of the population.
     household resource allocation and use.
                                                        GOAL AND TARGET ADDRESSED
     COMMENTS AND LIMITATIONS                           Goal 1. Eradicate extreme poverty and hunger
     The comments under indicators 1 and 1A also        Target 1. Halve, between 1990 and 2015, the
     apply here.                                        proportion of people whose income is less
                                                        than one dollar a day
     This measure can also be used for non-mone-
     tary indicators, provided that the measure of




10
Definitions, Rationale, Concepts and Sources




RATIONALE                                                 World Bank tries to produce comparable data
The indicator provides information about the              for international comparisons and for analysis
distribution of consumption or income of the              at the aggregated level (regional or global).
poorest fifth of the population. Because the              Survey data provide either per capita income
consumption of the poorest fifth is expressed             or consumption. Whenever possible, con-
as a percentage of total household consump-               sumption data are used rather than income
tion (or income), this indicator is a “relative           data. Where the original household survey
inequality” measure. Therefore, while the                 data are not available, shares are estimated
absolute consumption of the poorest fifth                 from the best available grouped data.
may increase, its share of total consumption
may remain the same (if the total goes up by              PERIODICITY OF MEASUREMENT
the same proportion), decline (if the total               Household budget or income surveys are
goes up by a larger proportion) or increase (if           undertaken at different intervals in different
the total goes up by a smaller proportion).               countries. In developing countries, they typi-
                                                          cally take place every three to five years.
METHOD OF COMPUTATION
Household income and its distribution are                 GENDER ISSUES
estimated from household surveys. Household               Households headed by women may be con-
income is adjusted for household size to pro-             centrated in the bottom fifth. However, this
vide a more consistent measure of per capita              relationship should be carefully studied to
income for consumption. Household income is               take into account national circumstances and
divided by the number of people in the house-             the definition of head of household adopted
hold to establish income per person. The pop-             in data collection, which is not necessarily
ulation is then ranked by income. The income              related to the chief source of economic sup-
of the bottom fifth is expressed as a percent-            port. Whether households are headed by
age of aggregate household income. The cal-               women or men, gender relations affect intra-
culations are made in local currency, without             household resource allocation and use.
adjustment for price changes or exchange
rates or for spatial differences in cost of living        INTERNATIONAL DATA COMPARISONS
within countries, because the data needed for             Since the underlying household surveys differ
such calculations are generally unavailable.              in method and type of data collected, the dis-
                                                          tribution indicators are not easily comparable
                                                          across countries. These problems are dimin-
DATA COLLECTION AND SOURCE                                ishing as survey methods improve and
For international purposes, this indicator is             become more standardized, but achieving
calculated by the World Bank, but it may also             strict comparability is still impossible (see
be calculated by national agencies. The                   “COMMENTS AND LIMITATIONS” for INDICATOR 1).
Development Research Group of the World
Bank Group produces the indicator based on                COMMENTS AND LIMITATIONS
primary household survey data obtained from               Two sources of non-comparability should be
government statistical agencies and World                 noted. First, the surveys can differ in many
Bank country departments.                                 respects, including whether they use income
                                                          or consumption as the indicator of living stan-
Data on household income or consumption                   dards. The distribution of income is typically
come from household surveys. Since underly-               more unequal than the distribution of con-
ing household surveys differ across countries             sumption. In addition, the definitions of
in methods and type of data collected, the                income usually differ among surveys. Con-




                                                                                                            11
Indicators for Monitoring the Millennium Development Goals




     sumption is normally a better welfare indica-
     tor, particularly in developing countries (see
                                                        4 PREVALENCE OF YEARS OF AGE CHIL-
                                                          DREN UNDER 5
                                                                        UNDERWEIGHT

     “COMMENTS AND LIMITATIONS” for INDICATOR 1).
                                                       DEFINITION
     Second, households differ in size (number of      Prevalence of (moderately or severely) under-
     members), extent of income sharing among          weight children is the percentage of children
     members, age of members and consumption           under five years old whose weight for age is
     needs. Differences among countries in these       less than minus two standard deviations from
     respects may bias comparisons of distribution.    the median for the international reference
                                                       population ages 0–59 months. The interna-
     The percentile chosen here is the bottom fifth    tional reference population was formulated
     (quintile). The proportionate share of national   by the National Center for Health Statistics
     household income of this group may go up          (NCHS) as a reference for the United States
     while the proportionate share of some other       and later adopted by the World Health
     percentile, such as the bottom tenth (decile),    Organization (WHO) for international use
     may go down, and vice versa.                      (often referred to as the NCHS/WHO refer-
                                                       ence population).
     REFERENCES AND INTERNATIONAL DATA
     COMPARISONS                                       GOAL AND TARGET ADDRESSED
       RAVALLION, MARTIN, and SHAOHUA CHEN (1996).     Goal 1. Eradicate extreme poverty and hunger
       What Can New Survey Data Tell Us about          Target 2. Halve, between 1990 and 2015, the
       Recent Change in Distribution and Poverty?      proportion of people who suffer from hunger
       World Bank Economic Review. Washington,
       D.C. 11/2:357-82.                               RATIONALE
       UNITED NATIONS (2001). Indicators of            Child malnutrition, as reflected in body
       Sustainable Development: Guidelines and         weight, is selected as an indicator for several
       Methodologies. Department of Economic           reasons. Child malnutrition is linked to poverty,
       and Social Affairs, Division for Sustainable    low levels of education and poor access to
       Development. Sales No. E.01.II.A.6.             health services. Malnourishment in children,
       Available from http:// www.un.org/esa/          even moderate, increases their risk of death,
       sustdev/natlinfo/indicators/isd.htm .           inhibits their cognitive development, and
       UNITED NATIONS (2003). Millennium Indicators    affects health status later in life. Sufficient
       Database. Statistics Division Internet site     and good quality nutrition is the cornerstone
       http://millenniumindicators.un.org .            for development, health and survival of cur-
       WORLD BANK (2003 and annual). World             rent and succeeding generations. Healthy
       Development Indicators. Print and CD-ROM.       nutrition is particularly important for women
       Washington, D.C. Available in part from         during pregnancy and lactation so that their
       http://www.worldbank.org/data .                 children set off on sound developmental
                                                       paths, both physically and mentally. Only
     AGENCIES                                          when optimal child growth is ensured for the
     National statistical offices                      majority of their people will Governments be
     World Bank                                        successful in their efforts to accelerate eco-
                                                       nomic development in a sustained way.

                                                       The under-five underweight prevalence is an
                                                       internationally recognized public health indi-
                                                       cator for monitoring nutritional status and




12
Definitions, Rationale, Concepts and Sources




health in populations. Child malnutrition is            may be a sensitive issue in the country.
also monitored more closely than adult mal-             Gender differences may also be more pro-
nutrition.                                              nounced in some social and ethnic groups.

METHOD OF COMPUTATION                                   COMMENTS AND LIMITATIONS
The weights of the under-five child population          The weight-for-age indicator reflects body
in a country are compared with the weights              mass relative to chronological age and is influ-
given in the NCHS/WHO table of child weights            enced by both the height of the child (height
for each age group. The percentages of chil-            for age) and weight-for-height. Its composite
dren in each age group whose weights are                nature makes interpretation complex. For
more than 2 standard deviations less than the           example, weight for age fails to distinguish
median are then aggregated to form the total            between short children of adequate body
percentage of children under age 5 who are              weight and tall, thin children.
underweight.
                                                        Low height for age or stunting, defined as minus
DATA COLLECTION AND SOURCE                              two standard deviations from the median
At the national level, data are generally avail-        height for the age of the reference population,
able from national household surveys, includ-           measures the cumulative deficient growth
ing Demographic and Health Surveys, Multiple            asociated with long-term factors, including
Indicator Cluster Surveys and national nutri-           chronic insufficient daily protein intake.
tion surveys.
                                                        Low weight for height, or wasting, defined as
For international comparisons and global or             below minus 2 standard deviations from the
regional monitoring, the United Nations                 median weight for height of the reference pop-
Children’s Fund (UNICEF) and WHO compile                ulation, indicates in most cases a recent and
international data series and estimate region-          severe process of weight loss, often associat-
al and global figures based on data from                ed with acute starvation or severe disease.
national surveys.
                                                        When possible, all three indicators should be
PERIODICITY OF MEASUREMENT                              analysed and presented since they measure and
Household surveys are generally conducted               reflect different aspects of child malnutrition.
every three to five years.
                                                        REFERENCES AND INTERNATIONAL DATA
GENDER ISSUES                                           COMPARISONS
The data from national household surveys gen-             UNITED NATIONS CHILDREN’S FUND (2003).
erally show no significant differences in under-          Progress since the World Summit for
weight prevalence between boys and girls.                 Children. New York. Available from
However, those trends should continue to be               http://www.childinfo.org.
monitored, particularly at the subnational                UNITED NATIONS CHILDREN’S FUND (annual).
level and within subgroups of the population.             The State of the World’s Children. New York.
                                                          UNITED NATIONS (2001). Indicators of
DISAGGREGATION ISSUES                                     Sustainable Development: Guidelines and
Indicators of malnutrition generally show dif-            Methodologies. Department of Economic
ferentials between rural and urban settings. In           and Social Affairs, Division for Sustainable
some countries, child nutrition may vary                  Development. Sales No. E.01.II.A. Available
across geographical areas, socio-economic                 from http:// www.un.org/esa/sustdev/
groups or ethnic groups. However, showing                 natlinfo/indicitors/isd.htm.
and analysing data on specific ethnic groups              UNITED NATIONS (2003). Millennium Indicators



                                                                                                           13
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Mdg and development

  • 1. INDICATORS for Monitoring the Millennium Development Goals Definitions Rationale Concepts and Sources United Nations
  • 2. ST/ESA/STAT/SER.F/95 United Nations Development Group Led by United Nations Population Fund United Nations Development Programme Department of Economic and Social Affairs–Statistics Division Indicators for Monitoring the Millennium Development Goals Definitions Rationale Concepts and Sources United Nations New York 2003
  • 3. Indicators for Monitoring the Millennium Development Goals NOTE The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The term “country” as used in the text of this report refers, as appropriate, to territories or areas. The des- ignations of “developed”. “developing” and “least developed” countries are intended for convenience and do not necessarily express a judgement about the stage reached by a particular country or area in the development process. Reference to “dollars” ($) indicates United States dollars, unless otherwise stated. ST/ESA/STAT/SER.F/95 United Nations Publication Sales No. E.03.XVII. 18 ISBN 92-1-161467-8 Copyright © United Nations 2003 All rights reserved Graphic design and Desktop composition Andy Musilli ii
  • 4. Definitions, Rationale, Concepts and Sources FOREWORD Building on the United Nations global conferences of the 1990s, the United Nations Millennium Declaration of 2000 marked a strong commitment to the right to devel- opment, to peace and security, to gender equality, to the eradication of the many dimensions of poverty and to sustainable human development. Embedded in that Declaration, which was adopted by 147 heads of State and 189 states, were what have become known as the eight Millennium Development Goals, including 18 time- bound targets. To monitor progress towards the goals and targets, the United Nations system, including the World Bank and the International Monetary Fund, as well as the Development Assistance Committee of the Organisation for Economic Co-operation and Development, came together under the Office of the Secretary-General and agreed on 48 quantitative indicators. The indicators built upon an intergovernmen- tal process to identify relevant indicators in response to global conferences. The Secretary-General presented the goals, targets and indicators to the General Assembly in September 2001 in his report entitled “Road map towards the imple- mentation of the United Nations Millennium Declaration”. The present handbook provides guidance on the definitions, rationale, concepts and sources of data for each of the indicators that are being used to monitor the goals and targets. It expands on an earlier exercise to provide the metadata for the socio-eco- nomic indicators that make up the United Nations Common Country Assessment Indicator Framework. The indicators for goals 1–7 are a subset of that framework. Preparation of the handbook was directed by an inter-agency working group of the United Nations Development Group, including the World Bank, chaired by the United Nations Population Fund and co-chaired by the United Nations Statistics Division and the United Nations Development Programme. On behalf of the United Nations Development Group, I would like to thank all the agencies and individuals (see below) who contributed to this handbook, including the Department for International Development of the Government of the United Kingdom, which funded the services of a short-term consultant who contributed to the handbook. I believe that this tangible example of interagency collaboration will prove useful to the international community by strengthening national statistical capacity and improving monitoring. And I sincerely hope that this will be sustained through future revisions in the same spirit. Mark Malloch Brown Chairman United Nations Development Group September 2003 iii
  • 5. Definitions, Rationale, Concepts and Sources CONTENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . iii . Abbreviations . . . . . . . . . . . . . . . . . . . . . . . . . . . vii . Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . viii . Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 . Goals, targets and indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 . 1. . Proportion. of population below $1 purchasing power. parity (PPP) per day . . . . . . . . . . . . . . . . . . . . . . . . 5 . 1A. . Poverty headcount ratio (percentage .of population below the national poverty line) . . . . . . . . . . . . . . . . . . . . . . . . . 7 . 2. . Poverty gap ratio .(incidence multiplied by depth .of poverty) . . . . . . . . . . . . . . . . . . . . . . . . 9 . 3. . Share .of poorest quintile in national consumption . . . . . . . . . . . . . . . . . . . . . . . . . 10 . 4. . Prevalence of .underweight children under 5 years of. age. . . . . . . . . . . . . . . . . . . . . . . . 12 . 5. . Proportion. of population below minimum. level of. dietary. energy. consumption . . . . . . . . . . . . . . . . . . . . . 14 . 6. . Net enrolment. ratio in. primary education. . . . . . . . . . . . . . . . . . . . . . . . 16 . 7. . Proportion. of pupils starting grade 1 .who. reach grade 5 . . . . . . . . . . . . . . . . . . . . . . . 18 . 7A. . Primary completion rate . . . . . . . . . . . . . . . . . . . . . . . . . . 20 . 8. . Literacy rate of 15–24 year-olds . . . . . . . . . . . . . . . . . . . . . . . . . . 22 . 9. . Ratio of girls to boys in primary, secondary and tertiary education . . . . . . . . . . . . . . . . . . . . . . . . . . 24 . 10. . Ratio of literate women to men, 15–24 years. old. . . . . . . . . . . . . . . . . . . . . . . . . 26 . 11. . Share .of women in wage employment in the non-agricultural. sector . . . . . . . . . . . . . . . . . . . . . . . . 27 . 12. . Proportion. of seats held by women in. national parliaments . . . . . . . . . . . . . . . . . . . . . . . . 29 . 13. . Under-five mortality rate . . . . . . . . . . . . . . . . . . . . . . . . . . 30 . 14. . Infant .mortality rate . . . . . . . . . . . . . . . . . . . . . . . . . 32 . 15. . Proportion. of 1-year-old children .immunized .against. measles . . . . . . . . . . . . . . . . . . . . . . 34 . 16. . Maternal mortality ratio . . . . . . . . . . . . . . . . . . . . . . . . . . 36 . 17. . Proportion. of births attended. by skilled health personnel. . . . . . . . . . . . . . . . . . . . . . . . 39 . 18. . HIV prevalence among pregnant women aged 15–24. years . . . . . . . . . . . . . . . . . . . . . . . . . 40 . 19. . Condom use rate of the contraceptive prevalence rate . . . . . . . . . . . . . . . . . . . . . . . . . . 42 19A. Condom use at last high-risk sex . . . . . . . . . . . . . . . . . 44 19B. Percentage of population aged 15–24 years with comprehensive correct knowledge . . . of .HIV/AIDS . . . . . . . . . . . . . . . . . . . . . . . . 45 . 19C. . Contraceptive. prevalence .rate . . . . . . . . . . . . . . . . . . . . . . . . 46 20. Ratio of school attendance of orphans to school attendance of non-orphans . . . aged 10–14 years. . . . . . . . . . . . . . . . . . . . . . . . . 48 . 21. . Prevalence and death. rates associated with malaria . . . . . . . . . . . . . . . . . . . . . . . . . 49 22. Proportion of population in malaria-risk areas using effective malaria . . . prevention and treatment. measures . . . . . . . . . . . . . . . . . . . . . . . . 51 . 23. . Prevalence and death. rates associated with tuberculosis. . . . . . . . . . . . . . . . . . . . . . . . . 53 24. Proportion of tuberculosis cases detected and cured under DOTS 54 . 25. . Proportion. of land. area covered by forest. . . . . . . . . . . . . . . . . . . . . . . . 56 . 26. . Ratio of area protected to. maintain biological diversity to surface area . . . . . . . . . . . . . . . . . . . . . . . . . 58 . 27. . Energy use (kilogram oil equivalent) per $1 gross. domestic product (PPP) . . . . . . . . . . . . . . . . . . . . . . . . . 59 . 28. . Carbon dioxide emissions .per. capita and .consumption of. ozone-depleting . . . . . . . . . . . . . . . . . . . . . . chlorofluorocarbons (ODP tons) 61 . 29. . Proportion. of the population using solid fuels. . . . . . . . . . . . . . . . . . . . . . . . . 63 . 30. . Proportion. of population with. sustainable access. to an improved water . . . . . . . . . . . . . . . . . . . . . . . source, urban and rural . . . . . . 64 . 31. . Proportion. of population with. access .to improved sanitation,. urban and .rural . . . . . . . . . . . . . . . . . . . . . 66 . . . . . . . . . . . . . . . . . . . . . . . v
  • 6. Indicators for Monitoring the Millennium Development Goals . . 32. . Proportion of households with access to secure. tenure . . . . . . . . . . . . . . . . . . . . . . . . 68 . . 33. . Net ODA, total and to the least developed countries, as. a percentage of OECD/DAC donors’ gross . . . . . . . . . . . . . . . . . . . . . . . . national income. 70 . . 34. . Proportion of total bilateral,. sector-allocable ODA of OECD/DAC donors to. basic social . . . . . . . . . . . . . . . . . . . . . . . services (basic education, primary health care, nutrition, safe water and sanitation) 71 . . 35. . Proportion of bilateral ODA of OECD/DAC donors that is untied. . . . . . . . . . . . . . . . . . . . . . . . . 72 . . 36. . ODA .received in .landlocked .countries as a proportion of their gross national incomes . . . . . . . . . . . . . . . . . . . . . . 73 . . 37. . ODA .received in .small island. developing. States .as a. proportion. of their. gross national .incomes 75 . . . . . . . . . . . . . . . . . . 38. . Proportion of total developed country imports (by value and excluding. arms) from. . . . . . . . . . . . . . . . . . . . . . . . developing countries and from the least developed countries, admitted free of duty 76 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39. . Average .tariffs imposed . by developed countries on. agricultural. products and . . . . . . . . . . . . . . . . . . . . . clothing from developing countries 78 . . 40. . Agricultural support . estimate for OECD .countries as a percentage .of their .gross domestic. . . . . . . . . . . . . . . . . . . . . . . . product . . . . . . . . . . . . . . . . . . . . . . . . . 79 . . 41. . Proportion of ODA provided .to help .build trade .capacity . . . . . . . . . . . . . . . . . . . . . . 81 42. Total number of countries that have reached their HIPC decision points . . . and number .that have reached their HIPC completion points (cumulative) . . . . . . . . . . . . . . . . . . . . . . . . 82 . . 43. . Debt. relief committed under. HIPC Initiative . . . . . . . . . . . . . . . . . . . . . . . 84 . . 44. . Debt. service. as a percentage of. exports of .goods and services. . . . . . . . . . . . . . . . . . . . . 85 . . 45. . Unemployment rate .of young people aged 15–24 years, each sex and .total . . . . . . . . . . . . . . . . . . . . . . . 86 46. Proportion of population with access to affordable essential drugs on a . . . sustainable basis . . . . . . . . . . . . . . . . . . . . . . . . . 88 . . 47. . Telephone lines and .cellular .subscribers. per. 100 population . . . . . . . . . . . . . . . . . . . . . 89 . . 48. . Personal. computers .in use per 100 .population . . . . . . . . . . . . . . . . . . . . . . 90 . . . Internet .users per 100 population . . . . . . . . . . . . . . . . . . . . . . . . 91 . . Annex 1. Additional socio-economic common. country assessment indicators . . . . . . . . . . . . . . . . . . . . . . . . . 93 . . CCA.19. . Proportion of children under. age 15. who are working . . . . . . . . . . . . . . . . . . . . . . 93 . . CCA.30. . Employment. to population of working age ratio. . . . . . . . . . . . . . . . . . . . . . . 94 . . CCA.31. . Unemployment rate . . . . . . . . . . . . . . . . . . . . . . . . 95 . . CCA.32. . Informal .sector employment. as .a percentage of. employment . . . . . . . . . . . . . . . . . . . . 96 . . CCA.41. . Number of persons per room, or average floor area. per. person. . . . . . . . . . . . . . . . . . . . . . 97 . . CCA.43. . Number of intentional homicides per 100,000 inhabitants . . . . . . . . . . . . . . . . . . . . . . . . 98 . . Annex 2. Household surveys and other national data .sources. . . . . . . . . . . 100 . . . . . . . . . . . . . . . . Annex 3. Web .sites (see also references in the metadata .sheets). . . . . . . . . . 105 . . . . . . . . . . . . . . . . Annex 4. World summits and conferences. . . . . . . . . . . . . . . . 106 . . . . . . . . . . vi
  • 7. Definitions, Rationale, Concepts and Sources A B B R E V I AT I O N S A, C, E, F, R, S Translated publications available in Arabic, Chinese, English, French, Russian and Spanish, at http://unstats.un.org.unsd/pubs/ CCA common country assessment CFCS chlorofluorocarbons c.i.f. cost, insurance and freight CWIQ Core Welfare Indicators Questionnaire in Africa DAC Development Assistance Committee of the OECD DHS Demographic and Health Survey DOTS internationally recommended tuberculosis control strategy DPT diphtheria, pertussis and tetanus vaccine EPI Expanded Programme on Immunization FAO Food and Agriculture Organization of the United Nations f.o.b. free on board GDP gross domestic product GNI gross national income GNP gross national product HBS household budget survey HIPC Heavily Indebted Poor Countries Initiative ICES income, consumption and expenditure survey ILO Internatonal Labour Organization IMF International Monetary Fund IPU Inter-Parliamentary Union ISCED 97 International Standard Classification of Education, 1997 version ISIC International Standard Industrial Classification of All Economic Activities ITU International Telecommunication Union IUCN International Union for Conservation of Nature and Natural Resources–The World Conservation Union Kg kilogram LDCs least developed countries LFS labour force surveys LSMS Living Standards Measurement Study MICS Multiple Indicator Cluster Survey NCHS National Center for Health Statistics ODA official development assistance ODP ozone-depleting potential OECD Organisation for Economic Co-operation and Development PCs personal computers PPP purchasing power parity TCBDB trade capacity-building database TRAINS Trade Analysis and Information System UN-HABITAT United Nations Human Settlements Programme UNAIDS Joint United Nations Programme on HIV/AIDS UNDP United Nations Development Programme UNESCO United Nations Educational, Scientific and Cultural Organization vii
  • 8. Indicators for Monitoring the Millennium Development Goals MEMBERS AND CONTRIBUTORS TO THE UNITED NATIONS DEVELOPMENT GROUP WORKING GROUP ON INDICATORS United Nations Human Settlements Programme Laura Licchi United Nations Population Fund Richard Leete, Chair World Food Programme Iqbal Alam Patricia Kennedy Kourtoum Nacro Mickie Schoch Food and Agriculture Organization of the United Nations Department of Economic and Social Jorge Mernies Affairs Statistics Division Toshiko Murata Stefan Schweinfest, Vice Chair Robert Johnston International Labour Organization Giselle Kamanou Sophia Lawrence Francesca Perucci International Telecommunication Union United Nations Development Programme Esperanza Magpantay Diana Alarcon, Vice Chair Jan Vandemoortele United Nations Educational, Scientific and Haishan Fu Cultural Organization Denise Lievesley United Nations Development Group Office José Pessoa Gerton van den Akker Alain Nickels World Bank Heidi Swindells Neil Fantom Tom Griffin (consultant) Makiko Harrison Eric Swanson Executive Office of the Secretary-General Madhushree Dasgupta World Health Organization Christopher Murray United Nations Office on Drugs and Crime Carla AbouZahr Andrea Treso World Trade Organization Office of the United Nations High Commissioner for Guy Karsenty Human Rights Goro Onojima United Nations Framework Convention on Climate Change Joint United Nations Programme on HIV/AIDS James Grabert Peter Ghys Inter-Parliamentary Union United Nations Children’s Fund Kareen Jabre Gareth Jones Tessa Wardlaw Organisation for Economic Co-operation and Development United Nations Development Fund for Women Brian Hammond Suzette Mitchell Simon Scott United Nations Environment Programme Stuart Chape Marion Cheatle Volodymyr Demkine Eugene Fosnight Phillip Fox Gerald Mutisya viii
  • 9. Definitions, Rationale, Concepts and Sources INTRODUCTION Indicators for Monitoring the Millennium Development Goals: Definitions, Rationale, Concepts and Sources contains basic metadata on the agreed list of quantitative indicators for monitoring progress towards the eight goals and 18 targets derived from the United Nations Millennium Declaration (table). The list of indicators, devel- oped using several criteria, is not intended to be prescriptive but to take into account the country setting and the views of various stakeholders in preparing country-level reports. Five main criteria guided the selection of indicators. Indicators should: I Provide relevant and robust measures of progress towards the targets of the Millennium Development Goals I Be clear and straightforward to interpret and provide a basis for international comparison I Be broadly consistent with other global lists and avoid imposing an unnecessary burden on country teams, Governments and other partners I Be based to the greatest extent possible on international standards, recommen- dations and best practices I Be constructed from well-established data sources, be quantifiable and be con- sistent to enable measurement over time The present handbook is designed to provide United Nations country teams and national and international stakeholders with guidance on the definitions, rationale, concepts and sources of the data for the indicators that are being used to monitor the Millennium Development Goals. Just as the indicator list is dynamic and will nec- essarily evolve in response to changing national situations, so will the metadata change over time as concepts, definitions and methodologies change. A consultation process, generally involving the national statistical office or other national authority, should be initiated in the selection and compilation of country- specific indicators. The consultation should take into account national development priorities, the suggested list of indicators and the availability of data. The United Nations country team should work collaboratively to help build ownership and con- sensus on the selected indicators. NATIONAL SOURCES Country data should be used for compiling the indicators where such data are avail- able and of reasonable quality. The data source for each indicator and the quantita- tive value of the indicator should be decided by consensus among the key stake- holders, especially the national statistical system. The national statistical system should own the data and related indicators. For any given indicator, a wide range of data sources may be available within the country, and each source should be critically reviewed. Existing data sources and reporting systems should be used where possible, particularly where line ministries have their own statistical systems. International data sources should be consulted 1
  • 10. Indicators for Monitoring the Millennium Development Goals for validation and in the absence of national sources. METADATA SHEETS For each indicator used to measure progress towards the targets and goals, the handbook provides all or some of the following information: I A simple operational definition I The goal and target it addresses I The rationale for use of the indicator I The method of computation I Sources of data I References, including relevant international Web sites I Periodicity of measurement I Gender and disaggregation issues I Limitations of the indicator I National and international agencies involved in the collection, compilation or dissemination of the data The intention is not to provide an exhaustive amount of information for each item, but to provide a reference point and guidance for country teams and national stake- holders. The amount of information varies by indicator and tends to reflect the extent of national and international debate on its relevance. Limited information is available for some of the less well-established indicators. With further use of the indicators and greater recognition of the need for such data, fuller information is expected to become available. Monitoring of the Millennium Development Goals is taking place globally, through annual reports of the United Nations Secretary-General to the General Assembly and through periodic country reporting. For global reporting, use is made of indicators compiled by international organizations. Internationally compiled indicators, based on standard concepts, definitions and methodologies, more readily facilitate cross- country comparisons. For country reporting, use is generally made of indicators com- piled from national sources, generally by the national statistical system. The meta- data sheets for the indicators reflect national and international standards. ANNEX 1 provides metadata for some additional indicators included in the common country assessment indicator framework; the indicators for Millennium Development Goals 1–7 are a subset of that framework. ANNEX 2 supplies information on the house- hold surveys and national sources mentioned in the metadata for constructing the indicators. ANNEX 3 gives the World Wide Web addresses of the agencies involved. ANNEX 4 lists the major world summits and conferences that have helped to shape the Millennium Development Goals and indicators. 2
  • 11. Definitions, Rationale, Concepts and Sources Goals, targets and indicators GOALS AND TARGETS INDICATORS FOR MONITORING PROGRESS FROM THE MILLENNIUM DECLARATION GOAL 1: ERADICATE EXTREME POVERTY AND HUNGER a TARGET 1: Halve, between 1990 and 2015, the proportion of people whose income is 1. Proportion of population below $1 (PPP) per day less than one dollar a day 1A. Poverty headcount ratio (percentage of population below the national poverty line) 2. Poverty gap ratio [incidence x depth of poverty] 3. Share of poorest quintile in national consumption TARGET 2: Halve, between 1990 and 2015, the proportion of people who suffer from 4. Prevalence of underweight children under 5 years of age hunger 5. Proportion of population below minimum level of dietary energy consumption GOAL 2: ACHIEVE UNIVERSAL PRIMARY EDUCATION TARGET 3: Ensure that, by 2015, children everywhere, boys and girls alike, will be able 6. Net enrolment ratio in primary education b to complete a full course of primary schooling 7. Proportion of pupils starting grade 1 who reach grade 5 8. Literacy rate of 15–24 year-olds GOAL 3: PROMOTE GENDER EQUALITY AND EMPOWER WOMEN TARGET 4 : Eliminate gender disparity in primary and secondary education, preferably 9. Ratio of girls to boys in primary, secondary and tertiary education by 2005, and in all levels of education no later than 2015 10. Ratio of literate women to men, 15–24 years old 11. Share of women in wage employment in the non-agricultural sector 12. Proportion of seats held by women in national parliament GOAL 4: REDUCE CHILD MORTALITY TARGET 5 : Reduce by two thirds, between 1990 and 2015, the under-five mortality rate 13. Under-five mortality rate 14. Infant mortality rate 15. Proportion of 1 year-old children immunized against measles GOAL 5: IMPROVE MATERNAL HEALTH TARGET 6 : Reduce by three quarters, between 1990 and 2015, the maternal 16. Maternal mortality ratio mortality ratio 17. Proportion of births attended by skilled health personnel GOAL 6: COMBAT HIV/AIDS, MALARIA AND OTHER DISEASES TARGET 7 : Have halted by 2015 and begun to reverse the spread of HIV/AIDS 18. HIV prevalence among pregnant women aged 15–24 years c 19. Condom use rate of the contraceptive prevalence rate 19A. Condom use at last high-risk sex 19B. Percentage of population aged 15-24 years with comprehensive correct knowl- d edge of HIV/AIDS 19C. Contraceptive prevalence rate 20. Ratio of school attendance of orphans to school attendance of non-orphans aged 10–14years TARGET 8 : Have halted by 2015 and begun to reverse the incidence of malaria and 21. Prevalence and death rates associated with malaria other major diseases 22. Proportion of population in malaria-risk areas using effective malaria prevention e and treatment measures 23. Prevalence and death rates associated with tuberculosis 24. Proportion of tuberculosis cases detected and cured under DOTS GOAL 7: ENSURE ENVIRONMENTAL SUSTAINABILITY TARGET 9 : Integrate the principles of sustainable development into country policies 25. Proportion of land area covered by forest and programmes and reverse the loss of environmental resources 26. Ratio of area protected to maintain biological diversity to surface area 27. Energy use (kg oil equivalent) per $1 GDP (PPP) 28. Carbon dioxide emissions per capita and consumption of ozone-depleting CFCs (ODP tons) 29. Proportion of population using solid fuels TARGET 10 : Halve, by 2015, the proportion of people without sustainable access to safe 30. Proportion of population with sustainable access to an improved water drinking water and basic sanitation source, urban and rural 31. Proportion of population with access to improved sanitation, urban and rural TARGET 11 : By 2020, to have achieved a significant improvement in the lives of at least 32. Proportion of households with access to secure tenure 100 million slum dwellers 3
  • 12. Indicators for Monitoring the Millennium Development Goals GOAL 8: DEVELOP A GLOBAL PARTNERSHIP FOR DEVELOPMENT Some of the indicators listed below are monitored separately for the least developed countries (LDCs), Africa, landlocked countries and small island developing States. TARGET 12 : Develop further an open, rule-based, predictable, non-discriminatory trad- Official development assistance ing and financial system 33. Net ODA, total and to the least developed countries, as a percentage of OECD/DAC donors’ gross national income Includes a commitment to good governance, development and poverty 34. Proportion of total bilateral, sector-allocable ODA of OECD/DAC donors to basic reduction – both nationally and internationally social services (basic education, primary health care, nutrition, safe water and sanitation) TARGET 13 : Address the special needs of the least developed countries 35. Proportion of bilateral official development assistance of OECD/DAC donors that is Includes: tariff and quota free access for the least developed countries’ untied exports; enhanced programme of debt relief for heavily indebted poor 36. ODA received in landlocked countries as a proportion of their gross national countries (HIPC) and cancellation of official bilateral debt; and more gen- incomes erous ODA for countries committed to poverty reduction 37. ODA received in small island developing States as proportion of their gross nation- al incomes TARGET 14 : Address the special needs of landlocked countries and small island devel- Market access oping States (through the Programme of Action for the Sustainable 38. Proportion of total developed country imports (by value and excluding arms) from Development of Small Island Developing States and the outcome of the developing countries and and from the least developed countries, admitted free of twenty-second special session of the General Assembly) duty 39. Average tariffs imposed by developed countries on agricultural products and tex- TARGET 15 : Deal comprehensively with the debt problems of developing countries tiles and clothing from developing countries through national and international measures in order to make debt sus- 40. Agricultural support estimate for OECD countries as a percentage of their gross tainable in the long term domestic product 41. Proportion of ODA provided to help build trade capacity Debt sustainability 42. Total number of countries that have reached their HIPC decision points and num- ber that have reached their HIPC completion points (cumulative) 43. Debt relief committed under HIPC Initiative 44. Debt service as a percentage of exports of goods and services f TARGET 16 : In cooperation with developing countries, develop and implement strate- 45. Unemployment rate of young people aged 15-24 years, each sex and total gies for decent and productive work for youth TARGET 17 : In cooperation with pharmaceutical companies, provide access to afford- 46. Proportion of population with access to affordable essential drugs on a sustainable able essential drugs in developing countries basis TARGET 18 : In cooperation with the private sector, make available the benefits 47. Telephone lines and cellular subscribers per 100 population of new technologies, especially information and communications 48A. Personal computers in use per 100 population and Internet users per 100 population 48B. Internet users per 100 population THE MILLENNIUM DEVELOPMENT GOALS and targets come from the Millennium Declaration, signed by 189 countries, including 147 heads of State and Government, in September 2000 (http://www.un.org.millennium/declaration/ ares552e.htm). The goals and targets are interrelated and should be seen as a whole. They represent a partnership between the developed countries and the developing countries “to create an environment – at the national and global levels alike – which is conducive to development and the elimination of poverty”. Note: Goals, targets and indicators effective 8 September 2003. a For monitoring country poverty trends, indicators based on nation- healthy-looking person can transmit HIV. However, since there are al poverty lines should be used, where available. currently not a sufficient number of surveys to be able to calculate the indicator as defined above, UNICEF, in collaboration with b An alternative indicator under development is “primary completion UNAIDS and WHO, produced two proxy indicators that represent rate”. two components of the actual indicator. They are the following: (a) c Among contraceptive methods, only condoms are effective in pre- percentage of women and men 15-24 who know that a person can venting HIV transmission. Since the condom use rate is only meas- protect herself from HIV infection by “consistent use of condom”; ured among women in union, it is supplemented by an indicator on (b) percentage of women and men 15-24 who know a healthy- condom use in high-risk situations (indicator 19a) and an indicator looking person can transmit HIV. on HIV/AIDS knowledge (indicator 19b). Indicator 19c (contracep- e Prevention to be measured by the percentage of children under 5 tive prevalence rate) is also useful in tracking progress in other sleeping under insecticide-treated bednets; treatment to be meas- health, gender and poverty goals. ured by percentage of children under 5 who are appropriately d This indicator is defined as the percentage of population aged 15- treated. 24 who correctly identify the two major ways of preventing the f An improved measure of the target for future years is under devel- sexual transmission of HIV (using condoms and limiting sex to one opment by the International Labour Organization. faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a 4
  • 13. Definitions, Rationale, Concepts and Sources 1 PROPORTION OF POPULATION tion) curves weighted by household size. In all BELOW $1 PURCHASING POWER cases measures of poverty to obtain Lorenz PARITY(PPP) PER DAY curves are calculated from primary data sources rather than existing estimates. DEFINITION Proportion of population below $1 per day is Poverty in a country is estimated by converting the percentage of the population living on less the one dollar a day poverty line to local curren- than $1.08 a day at 1993 international prices. cy using the latest purchasing power parity The one dollar a day poverty line is compared (PPP) exchange rates for consumption taken to consumption or income per person and from World Bank estimates. Local consumer includes consumption from own production price indices are then used to adjust the inter- and income in kind. This poverty line has national poverty line in local currency to prices fixed purchasing power across countries or prevailing around the time of the surveys. This areas and is often called an “absolute poverty international poverty line is used to identify how line” or measure of extreme poverty. many people are below the one dollar a day threshold. GOAL AND TARGET ADDRESSED Goal 1. Eradicate extreme poverty and hunger The PPP-based international poverty line is Target 1. Halve, between 1990 and 2015, the required only to allow comparisons across proportion of people whose income is less countries and to produce estimates of pover- than one dollar a day ty at the aggregate level. Most countries also set their own poverty lines (SEE INDICATOR 1A). RATIONALE The indicator allows for comparing and aggre- DATA COLLECTION AND SOURCE gating progress across countries in reducing the The indicator is produced by the World Bank number of people living under extreme poverty Development Research Group based on data and for monitoring trends at the global level. obtained from government statistical offices and World Bank country departments. It is not METHOD OF COMPUTATION normally calculated by national agencies. The World Bank regularly estimates poverty based on the one dollar a day poverty line. Data on household income, consumption and Estimates are based on incomes or consump- expenditure, including income in kind, are tion levels derived from household surveys. generally collected through household budget Whenever possible, consumption is preferred surveys or other surveys covering income and to income for measuring poverty. When con- expenditure. sumption data are not available, income is used. When available, household consumption data are preferred to income data. National statis- Consumption, which includes consumption tical offices, sometimes in conjunction with for own production, or income per person, and other national or international agencies, usu- its distribution are estimated from household ally undertake such surveys. surveys. Household consumption or income is divided by the number of people in the house- Only surveys that meet the following criteria are hold to establish the income per person. used: they are nationally representative, include a sufficiently comprehensive consumption or The distribution of consumption or income is income aggregate (including consumption or estimated using empirical Lorenz (distribu- income from own production), and they allow for 5
  • 14. Indicators for Monitoring the Millennium Development Goals the construction of a correctly weighted distri- The one dollar a day poverty measure is used bution of consumption or income per person. to assess and monitor poverty at the global level, but like other indicators it is not equally The most recent estimates of PPP for devel- relevant in all regions because countries have oping countries are based on data collected different definitions of poverty. between 1993 and 1996, standardized to Measurements of poverty in countries are 1993 international prices. Global price com- generally based on national poverty lines. parisons are carried out by the International Comparison Programme of the World Bank PPP exchange rates are used because they and others. New estimates of PPPs are take into account the local prices of goods expected in 2006. and services that are not traded internation- ally. Although PPP rates were designed for PERIODICITY OF MEASUREMENT comparing aggregates from national Household budget or income surveys are accounts, they may not fully reflect the com- undertaken at different intervals in different parative cost of goods typically consumed by countries. In developing countries they typi- the very poor. cally take place every three to five years. There are also problems in comparing poverty PPP surveys are conducted at infrequent measures within countries, especially for urban- intervals. The last price survey through the rural differences. The cost of living is typically International Comparison Programme was higher in urban than in rural areas, so the urban completed in 1996, and the next will begin in monetary poverty line should be higher than the 2003. It is, however, possible to extrapolate rural monetary poverty line. However, it is not from PPP surveys, and the World Bank con- always clear that the difference between the version factors are calculated in this way. two poverty lines found in practice properly reflects the difference in the cost of living. GENDER ISSUES Households headed by women tend to have In considering whether to use income or con- lower incomes and are therefore more likely sumption as a welfare indicator, income is to have incomes per person lower than one generally more difficult to measure accurate- dollar. However, this relationship should be ly, and consumption accords better with the carefully studied to take into account nation- idea of the standard of living than income, al circumstances and the definition of head of which can vary over time even if the standard household adopted in data collection, which is of living does not. Nevertheless, consumption not necessarily related to being the chief data are not always available, and when they source of economic support. Whether house- are not there is little choice but to use income. holds are headed by women or men, gender relations affect intrahousehold resource allo- There is also a problem with comparability cation and use. It is not possible to estimate across surveys: household survey question- sex-disaggregated poverty rates from avail- naires can differ widely, and even similar sur- able data. veys may not be strictly comparable because of differences in quality. DISAGGREGATION ISSUES It is sometimes possible to disaggregate this Even if surveys are entirely accurate, the indicator by urban-rural location. measure of poverty can miss some important aspects of individual welfare. First, using COMMENTS AND LIMITATIONS household consumption ignores inequalities 6
  • 15. Definitions, Rationale, Concepts and Sources within households. Second, the measure does http://www.worldbank.org/poverty/library not reflect people’s feeling about relative /progr/2000-01/execsum.htm. deprivation or their concerns about uninsured WORLD BANK (2003 and annual). World risks to their income and health. Development Indicators. Print and CD-ROM. Table 2.6. Washington, D.C. Available in Comparisons across countries at different levels part from http://www.worldbank.org/data. of development may also pose a problem, owing WORLD BANK (2003). Data and Statistics. to differences in the relative importance of con- Internet site http://www.worldbank.org/ sumption of non-market goods. data . Washington, D.C. WORLD BANK (2003). Poverty Reduction REFERENCES AND INTERNATIONAL DATA Strategy Sourcebook, vol. 1, Core tech- COMPARISONS niques: Poverty Measurement and Analysis. CHEN, SHAOCHUA, and MARTIN RAVALLION Washington, D.C. Available from http:// (2002). How Did the World’s Poorest Fare in www. worldbank.org/poverty/strategies/ the 1990s?, Working Paper No. 2409, pp.1-5. sourcons.htm . Washington, D.C.: World Bank. Available from http://www.worldbank.org/research/ AGENCY povmonitor/publications.htm. World Bank HESTON, ALAN, ROBERT SUMMERS and BETTINA ATEN (2002). Penn World Tables 6.1. Internet site http://datacentre2.chass.utoronto.ca/pwt . UNITED NATIONS (1992). Handbook of the 1-A POVERTY HEADCOUNT RATIOBELOW CENTAGE OF POPULATION (PER- International Comparison Programme. THE NATIONAL POVERTY LINE) Series F, No. 62 (United Nations publica- tion, Sales No. E.92.XVII.12). Available from DEFINITION http://unstats.un.org/unsd/pubs. (A, C, E, The poverty headcount ratio is the proportion F, R, S) of the national population whose incomes are UNITED NATIONS (2003). Millennium Indicators below the official threshold (or thresholds) set Database. Statistics Division Internet site by the national Government. National poverty http://millenniumindicators.un.org. lines are usually set for households of various UNITED NATIONS DEVELOPMENT PROGRAMME compositions to allow for different family (2003 and annual). Human Development sizes. Where there are no official poverty Report. New York: Oxford University Press. lines, they may be defined as the level of Available from http://hdr.undp.org. income required to have only sufficient food UNITED NATIONS, COMMISSION OF THE EUROPEAN or food plus other necessities for survival. COMMUNITIES, INTERNATIONAL MONETARY FUND, ORGANISATION FOR ECONOMIC CO-OPERATION AND GOAL AND TARGET ADDRESSED DEVELOPMENT AND WORLD BANK (1994). Goal 1. Eradicate extreme poverty and hunger System of National Accounts 1993 (SNA Target 1. Halve, between 1990 and 2015, the 1993), Series F, No. 2, Rev. 4 (United Nations proportion of people whose income is less publication, Sales No. E.94.XVII.4), paras. than one dollar a day 9.45, 16.80-16.83. Available with updates from http://unstats.un.org/unsd/sna1993. RATIONALE WORLD BANK (2001). Poverty Reduction and The indicator allows for monitoring the pro- the World Bank: Progress in Operationaliz- portion of the national population that is con- ing the World Development Report sidered poor by a national standard. Most 2000/01. Washington, D.C. Available from poverty analysis work for countries is based 7
  • 16. Indicators for Monitoring the Millennium Development Goals on national poverty lines. National poverty cally take place every three to five years. lines tend to increase in purchasing power GENDER ISSUES with the average level of income of a country. Households headed by women tend to have lower incomes and are therefore more likely METHOD OF COMPUTATION to have incomes per person below the pover- Household income (or consumption) and its ty line. However, this relationship should be distribution are estimated from household carefully studied to take into account nation- surveys (SEE INDICATOR 1). The incomes of various al circumstances and the definition of head of household types, by composition, may then household adopted in data collection, which is be compared with the poverty lines for those not necessarily related to being the chief types of household. If the poverty lines are source of economic support. Whether house- expressed in terms of income per adult equiv- holds are headed by women or men, gender alent or some similar measure, the incomes of relations affect intrahousehold resource allo- the households must be measured on a simi- cation and use. lar basis. Household income may be convert- ed to income per adult equivalent by using DISAGGREGATION ISSUES the modified equivalence scale of the Disaggregation of the poverty headcount Organisation for Economic Co-operation and index is normally limited by the size of the Development (OECD)—in which the first household survey. It is common, however, for household member over 16 equals 1, all others indices to be produced for urban and rural over 16 equal 0.5, all under 16 equal 0.3 —or areas and for some subnational levels as the some other equivalence scale. Household sample allows. Estimates at low levels of dis- incomes are then divided by the “equivalized” aggregation may be made using “poverty number of people in the household (two adults mapping” techniques, which use the lower would equal 1.5 according to the OECD scale) levels of disaggregation available from popu- to establish income per person. lation censuses, particularly where the timing of the population census and household sur- Once the number of households that are vey is relatively close. Wherever household below the poverty line has been estimated, surveys provide income or consumption data the number of people in those households is disaggregated by sex of household heads, aggregated to estimate the percentage of the these data should be used. population below the line. COMMENTS AND LIMITATIONS DATA COLLECTION AND SOURCE The advantage of this indicator is that it is Data on household income, consumption and specific to the country in which the data are expenditure, including income in kind, are collected and where the poverty line is estab- generally collected through household budget lished. While the one dollar a day poverty line surveys or other surveys covering income and helps in making international comparisons, expenditure. national poverty lines are used to make more accurate estimates of poverty consistent with National statistical offices, sometimes in con- the characteristics and level of development junction with other national or international of each country. The disadvantage is that agencies, usually undertake such surveys. there is no universally agreed poverty line, even in principle, and international compar- PERIODICITY OF MEASUREMENT isons are not feasible. Household budget or income surveys are undertaken at different intervals in different There are also problems in comparing poverty countries. In developing countries they typi- measures within countries, especially for 8
  • 17. Definitions, Rationale, Concepts and Sources urban and rural differences. The cost of living is typically higher in urban than in rural areas, 2 POVERTY GAP RATIO (INCIDENCE MULTIPLIED BY DEPTH OF POVER- so the urban monetary poverty line should be TY) higher than the rural monetary poverty line. But it is not always clear that the difference DEFINITION between the two poverty lines found in prac- Poverty gap ratio is the mean distance sepa- tice properly reflects the difference in the rating the population from the poverty line cost of living. (with the non-poor being given a distance of zero), expressed as a percentage of the REFERENCES AND INTERNATIONAL DATA poverty line. COMPARISONS CANBERRA GROUP ON HOUSEHOLD INCOME GOALAND TARGET ADDRESSED STATISTICS (2001). Expert Group on Goal 1. Eradicate extreme poverty and hunger Household Income Statistics: Final Report Target 1. Halve, between 1990 and 2015, the and Recommendations. Ottawa. Available proportion of people whose income is less from http://www.lisproject.org/links/canb than one dollar a day access.htm. SWEDEN, STATISTICS SWEDEN (1996). Engendering RATIONALE Statistics: A Tool for Change. Stockholm. The indicator measures the “poverty deficit” UNITED NATIONS (2003). Millennium Indicators of the entire population, where the poverty Database. Statistics Division Internet site deficit is the per capita amount of resources http://millenniumindicators.un.org. that would be needed to bring all poor people UNITED NATIONS DEVELOPMENT PROGRAMME above the poverty line through perfectly tar- (2003 and annual). Human Development geted cash transfers. Report. New York, Oxford University Press. Available from http://hdr.undp.org. METHOD OF COMPUTATION WORLD BANK (2003 and annual). World The poverty gap ratio is the sum of the Development Indicators. Print and CD-ROM. income gap ratios for the population below Notes to table 2.6. Washington, D.C. the poverty line, divided by the total popula- Available in part from http://www.world tion, which can be expressed as follows: bank.org/data. WORLD BANK (2003). Poverty Reduction 1 q  z − yi  Strategy Sourcebook, vol. 1, Core Techniques: PG = ∑ n i =1  z  Poverty Measurement and Analysis.   Washington, D.C. Available from where z is the poverty line, Yi is the income of http://www.worldbank.org/poverty/ individual i, q is the number of poor people and strategies/sourcons.htm. n is the size of the population. The poverty gap can also be expressed (and thus calculated) AGENCIES as the product of the average income gap National statistical offices ratio of poor people and the headcount ratio, World Bank that is, where PG = I * H where q z − yq H= I= n z 9
  • 18. Indicators for Monitoring the Millennium Development Goals , the distance is meaningful. For example, the where poverty gap in education could be the number 1 q of years of education missing to reach the yq = ∑ yi q i =1 defined threshold. All the formulas are calculated based on data REFERENCES AND INTERNATIONAL DATA on individuals ( yi as individual income or con- COMPARISONS sumption). If household-level data are used, CHEN, SHAOCHUA, and MARTIN RAVALLION (2002). the formulas have to be adjusted by the How Did the World’s Poorest Fare in the weight wi, which is the household size times 1990s? Working Paper No. 2409, pp.1-5. sampling expansion factor for every house- World Bank, Washington, D.C. Available hold i. from http://www.worldbank.org/research/ povmonitor/publications.htm . DATA COLLECTION AND SOURCE UNITED NATIONS (2003). Millennium Indicators When based on the $1 a day poverty line, this Database. Statistics Division Internet site indicator is calculated by the World Bank. http://millenniumindicators.un.org . When based on national poverty lines, the WORLD BANK (2003 and annual). World indicator is commonly calculated by national Development Indicators. Print and CD-ROM. agencies. Washington, D.C. Available in part from http://www.worldbank.org/data . The data required are the same as those for WORLD BANK (2003). Poverty Reduction indicator 1. Strategy Sourcebook, vol. 1, Core Techniques: Poverty Measurement and Analysis. PERIODICITY OF MEASUREMENT Washington, D.C. Available from Household budget or income surveys are http://www.worldbank.org/poverty/ undertaken at different intervals in different strategies/sourcons.htm. countries. In developing countries, they typi- cally take place every three to five years. AGENCIES National statistical offices GENDER ISSUES World Bank Households headed by women may be con- centrated in the bottom fifth. However, this relationship should be carefully studied to take into account national circumstances and 3 SHARE OFCONSUMPTION NATIONAL POOREST QUINTILE IN the definition of head of household adopted in data collection, which is not necessarily DEFINITION related to being the chief source of economic Share of the poorest quintile in national con- support. Whether households are headed by sumption is the income that accrues to the women or men, gender relations affect intra- poorest fifth of the population. household resource allocation and use. GOAL AND TARGET ADDRESSED COMMENTS AND LIMITATIONS Goal 1. Eradicate extreme poverty and hunger The comments under indicators 1 and 1A also Target 1. Halve, between 1990 and 2015, the apply here. proportion of people whose income is less than one dollar a day This measure can also be used for non-mone- tary indicators, provided that the measure of 10
  • 19. Definitions, Rationale, Concepts and Sources RATIONALE World Bank tries to produce comparable data The indicator provides information about the for international comparisons and for analysis distribution of consumption or income of the at the aggregated level (regional or global). poorest fifth of the population. Because the Survey data provide either per capita income consumption of the poorest fifth is expressed or consumption. Whenever possible, con- as a percentage of total household consump- sumption data are used rather than income tion (or income), this indicator is a “relative data. Where the original household survey inequality” measure. Therefore, while the data are not available, shares are estimated absolute consumption of the poorest fifth from the best available grouped data. may increase, its share of total consumption may remain the same (if the total goes up by PERIODICITY OF MEASUREMENT the same proportion), decline (if the total Household budget or income surveys are goes up by a larger proportion) or increase (if undertaken at different intervals in different the total goes up by a smaller proportion). countries. In developing countries, they typi- cally take place every three to five years. METHOD OF COMPUTATION Household income and its distribution are GENDER ISSUES estimated from household surveys. Household Households headed by women may be con- income is adjusted for household size to pro- centrated in the bottom fifth. However, this vide a more consistent measure of per capita relationship should be carefully studied to income for consumption. Household income is take into account national circumstances and divided by the number of people in the house- the definition of head of household adopted hold to establish income per person. The pop- in data collection, which is not necessarily ulation is then ranked by income. The income related to the chief source of economic sup- of the bottom fifth is expressed as a percent- port. Whether households are headed by age of aggregate household income. The cal- women or men, gender relations affect intra- culations are made in local currency, without household resource allocation and use. adjustment for price changes or exchange rates or for spatial differences in cost of living INTERNATIONAL DATA COMPARISONS within countries, because the data needed for Since the underlying household surveys differ such calculations are generally unavailable. in method and type of data collected, the dis- tribution indicators are not easily comparable across countries. These problems are dimin- DATA COLLECTION AND SOURCE ishing as survey methods improve and For international purposes, this indicator is become more standardized, but achieving calculated by the World Bank, but it may also strict comparability is still impossible (see be calculated by national agencies. The “COMMENTS AND LIMITATIONS” for INDICATOR 1). Development Research Group of the World Bank Group produces the indicator based on COMMENTS AND LIMITATIONS primary household survey data obtained from Two sources of non-comparability should be government statistical agencies and World noted. First, the surveys can differ in many Bank country departments. respects, including whether they use income or consumption as the indicator of living stan- Data on household income or consumption dards. The distribution of income is typically come from household surveys. Since underly- more unequal than the distribution of con- ing household surveys differ across countries sumption. In addition, the definitions of in methods and type of data collected, the income usually differ among surveys. Con- 11
  • 20. Indicators for Monitoring the Millennium Development Goals sumption is normally a better welfare indica- tor, particularly in developing countries (see 4 PREVALENCE OF YEARS OF AGE CHIL- DREN UNDER 5 UNDERWEIGHT “COMMENTS AND LIMITATIONS” for INDICATOR 1). DEFINITION Second, households differ in size (number of Prevalence of (moderately or severely) under- members), extent of income sharing among weight children is the percentage of children members, age of members and consumption under five years old whose weight for age is needs. Differences among countries in these less than minus two standard deviations from respects may bias comparisons of distribution. the median for the international reference population ages 0–59 months. The interna- The percentile chosen here is the bottom fifth tional reference population was formulated (quintile). The proportionate share of national by the National Center for Health Statistics household income of this group may go up (NCHS) as a reference for the United States while the proportionate share of some other and later adopted by the World Health percentile, such as the bottom tenth (decile), Organization (WHO) for international use may go down, and vice versa. (often referred to as the NCHS/WHO refer- ence population). REFERENCES AND INTERNATIONAL DATA COMPARISONS GOAL AND TARGET ADDRESSED RAVALLION, MARTIN, and SHAOHUA CHEN (1996). Goal 1. Eradicate extreme poverty and hunger What Can New Survey Data Tell Us about Target 2. Halve, between 1990 and 2015, the Recent Change in Distribution and Poverty? proportion of people who suffer from hunger World Bank Economic Review. Washington, D.C. 11/2:357-82. RATIONALE UNITED NATIONS (2001). Indicators of Child malnutrition, as reflected in body Sustainable Development: Guidelines and weight, is selected as an indicator for several Methodologies. Department of Economic reasons. Child malnutrition is linked to poverty, and Social Affairs, Division for Sustainable low levels of education and poor access to Development. Sales No. E.01.II.A.6. health services. Malnourishment in children, Available from http:// www.un.org/esa/ even moderate, increases their risk of death, sustdev/natlinfo/indicators/isd.htm . inhibits their cognitive development, and UNITED NATIONS (2003). Millennium Indicators affects health status later in life. Sufficient Database. Statistics Division Internet site and good quality nutrition is the cornerstone http://millenniumindicators.un.org . for development, health and survival of cur- WORLD BANK (2003 and annual). World rent and succeeding generations. Healthy Development Indicators. Print and CD-ROM. nutrition is particularly important for women Washington, D.C. Available in part from during pregnancy and lactation so that their http://www.worldbank.org/data . children set off on sound developmental paths, both physically and mentally. Only AGENCIES when optimal child growth is ensured for the National statistical offices majority of their people will Governments be World Bank successful in their efforts to accelerate eco- nomic development in a sustained way. The under-five underweight prevalence is an internationally recognized public health indi- cator for monitoring nutritional status and 12
  • 21. Definitions, Rationale, Concepts and Sources health in populations. Child malnutrition is may be a sensitive issue in the country. also monitored more closely than adult mal- Gender differences may also be more pro- nutrition. nounced in some social and ethnic groups. METHOD OF COMPUTATION COMMENTS AND LIMITATIONS The weights of the under-five child population The weight-for-age indicator reflects body in a country are compared with the weights mass relative to chronological age and is influ- given in the NCHS/WHO table of child weights enced by both the height of the child (height for each age group. The percentages of chil- for age) and weight-for-height. Its composite dren in each age group whose weights are nature makes interpretation complex. For more than 2 standard deviations less than the example, weight for age fails to distinguish median are then aggregated to form the total between short children of adequate body percentage of children under age 5 who are weight and tall, thin children. underweight. Low height for age or stunting, defined as minus DATA COLLECTION AND SOURCE two standard deviations from the median At the national level, data are generally avail- height for the age of the reference population, able from national household surveys, includ- measures the cumulative deficient growth ing Demographic and Health Surveys, Multiple asociated with long-term factors, including Indicator Cluster Surveys and national nutri- chronic insufficient daily protein intake. tion surveys. Low weight for height, or wasting, defined as For international comparisons and global or below minus 2 standard deviations from the regional monitoring, the United Nations median weight for height of the reference pop- Children’s Fund (UNICEF) and WHO compile ulation, indicates in most cases a recent and international data series and estimate region- severe process of weight loss, often associat- al and global figures based on data from ed with acute starvation or severe disease. national surveys. When possible, all three indicators should be PERIODICITY OF MEASUREMENT analysed and presented since they measure and Household surveys are generally conducted reflect different aspects of child malnutrition. every three to five years. REFERENCES AND INTERNATIONAL DATA GENDER ISSUES COMPARISONS The data from national household surveys gen- UNITED NATIONS CHILDREN’S FUND (2003). erally show no significant differences in under- Progress since the World Summit for weight prevalence between boys and girls. Children. New York. Available from However, those trends should continue to be http://www.childinfo.org. monitored, particularly at the subnational UNITED NATIONS CHILDREN’S FUND (annual). level and within subgroups of the population. The State of the World’s Children. New York. UNITED NATIONS (2001). Indicators of DISAGGREGATION ISSUES Sustainable Development: Guidelines and Indicators of malnutrition generally show dif- Methodologies. Department of Economic ferentials between rural and urban settings. In and Social Affairs, Division for Sustainable some countries, child nutrition may vary Development. Sales No. E.01.II.A. Available across geographical areas, socio-economic from http:// www.un.org/esa/sustdev/ groups or ethnic groups. However, showing natlinfo/indicitors/isd.htm. and analysing data on specific ethnic groups UNITED NATIONS (2003). Millennium Indicators 13