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UNITED NATIONS WORKSHOP ON SUSTAINABLE DEVELOPMENT INDICATORS: CONCEPTUAL FRAMEWORK, DATA COLLECTION AND ANALYSIS 11 to 13 December 2012, Addis Ababa, Ethiopia Topic of Presentation:

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  1. UNITED NATIONS WORKSHOP ON SUSTAINABLE DEVELOPMENT INDICATORS: CONCEPTUAL FRAMEWORK, DATA COLLECTION AND ANALYSIS 11 to 13 December 2012, Addis Ababa, Ethiopia Topic of Presentation: Social and Demographic International Statistical Standards, Concepts, Definitions, Classifications, Methodology and Conceptual Framework Applied to Sustainable Development Indicators Presented by: Ayenika Godheart Mbiydzenyuy African Centre for Statistics (ACS) UNECA Free Powerpoint Templates

  2. Presentation Plan • Definition of Demographic and Social Statistics • Areas of Concern in Demographic and Social Statistics • International Adopted Standards in Demographic and SocialStatistics • Methodology of data collection, processing, dissemination and analysis in Demographic and Social Statistics • 5. Conclusion

  3. Definition of Demographic and Social Statistics SOCIAL AND DEMOGRAPHIC STATISTICS are about people, their living conditions and their relationships and interactions with others.  2. Areas of Concern in Demographic and Social Statistics The United Nations Statistics Division identifies the major demographic and social concerns as follows: A.  -Size and structure of the population, births, deaths and migration Size -Population density and urbanization -Natality -Mortality -International migration -Ethno-cultural characteristics

  4. B. Social security and welfare C. Distribution of income and consumption; wealth and poverty D. Public order and safety, offenders and their victims E. Family formation, families and households - Marriage and divorce F. Health, human functioning and disability Health Human functioning and disability G. Housing and its environment H. Learning and education I. Economic activity J. Allocation of time and time use Definition of Demographic and Social Statistics

  5. Central Product Classification (CPC) Conference of European Statisticians Recommendations for the 2010 Censuses of Population and Housing Guidelines for Exchanging Data to Improve Emigration Statistics Principles and Recommendations for a Vital Statistics System, Revision 2 Principles and Recommendations for Population and Housing Censuses, Revision 2 Recommendations on Statistics of International Migration, Revision 1 Urban Indicators Programme Guidelines (UIP) 3. International Adopted Standards in Demographic and Social Statistics3.1 International Adopted Standards in Demographic and Migration Statistics

  6. International Standard Industrial Classification of all Economic Activities (ISIC) Measuring Quality of Employment 3.2 International Adopted Standards in Labour Statistics 3.3 International Adopted Standards in Education Statistics • International Standard Classification of Education (ISCED) • OECD Handbook for Internationally Comparative Education Statistics 3.4 International Adopted Standards in Health Statistics • A System of Health Accounts 2011

  7. International Standard Industrial Classification of all Economic Activities (ISIC) 3.5 International Adopted Standards in Income and Consumption Statistics 3.6 International Adopted Standards in Justice and Crime Statistics • Manual for the Development of a System of Criminal Justice Statistics • Manual on Victimization Surveys 3.7 International Adopted Standards in Culture Statistics • The UNESCO Framework for Cultural Statistics (FCS)

  8. Statistical Data and Metadata Exchange - Health Domain (SDMX-HD) Data and Metadata Reporting and Presentation Handbook 4.1 Meta Data Common Metadata Framework 4.2 Classifications Central Product Classification (CPC) Classification by Broad Economic Categories (BEC) Classification of Individual Consumption According to Purpose (COICOP) Classification of the Functions of Government (COFOG) Classification of Statistical Activities Classification of the Outlays of Producers According to Purpose (COPP) Classification of the Purposes of Non Profit Institutions Serving Households (COPNI) International Standard Industrial Classification of all Economic Activities (ISIC) Standard Country or Area Codes for Statistical Use (M49) Standard International Trade Classification 4. Methodology of data collection, processing, dissemination and analysis in Demographic and Social Statistics

  9. 4.3 Data Source 4.3.1Population and housing censuses; registers of population, dwellings and buildings Conference of European Statisticians Recommendations for the 2010 Censuses of Population and Housing Principles and Recommendations for Population and Housing Censuses, Revision 4.3.2  Business and agricultural censuses and registers World Programme for the Census of Agriculture (WCA) 4.3.3 Household Survey Survey Data on Household Finance and Consumption 4.3.4  Business and agricultural surveys World Programme for the Census of Agriculture (WCA) 4. Methodology of data collection, processing, dissemination and analysis in Demographic and Social Statistics

  10. 4.3.5 Other administrative sources Using Administrative Sources for Official Statistics: Principles and Practices 4.3.6 Data editing and data linkage Statistical Data Editing: Volume 1 - Methods and Techniques (1); Volume 2 - Methods and Techniques (2); Volume 3 - Impact on Data Quality 4.3.7 Dissemination, data warehousing Making Data meaningful Part 1: A Guide to Writing Stories About Numbers Making Data meaningful Part 2: A Guide to Presenting Statistics Making Data meaningful Part 3: A Guide to Communicating With the Media 4. Methodology of data collection, processing, dissemination and analysis in Demographic and Social Statistics

  11. 4.3.8 Statistical confidentiality and disclosure protection Managing Statistical Confidentiality and Microdata Access - Principles and Guidelines of Good Practice Principles and Guidelines on Confidentiality Aspects of Data Integration Undertaken for Statistical or Related Research Purposes 4. Methodology of data collection, processing, dissemination and analysis in Demographic and Social Statistics

  12. 5. Conclusion The United Nations Statistical Commission, established in 1947, is the apex entity of the global statistical system. It brings together the Chief Statisticians from member states from around the world. It is the highest decision making body for international statistical activities especially the setting of statistical standards, the development of concepts and methods and their implementation at the national and international level. The Statistical Commission oversees the work of the United Nations Statistics Division (UNSD), and is a Functional Commission of the UN Economic and Social Council. In resolution 1566 (L), the Council stressed the importance of the Commission's coordination function and the need to achieve an integrated system in the collection, processing and dissemination of international statistics;

  13. The terms of reference as set forth in Economic and Social Council resolution 1566 (L) of 3 May 1971, reaffirming its resolution 8 (I) of 16 February 1946, as amended by resolution 8 (II) of 21 June 1946, state that the Commission shall assist the Council:a) in promoting the development of national statistics and the improvement of their comparability;b) in the coordination of the statistical work of specialized agencies;c) in the development of the central statistical services of the Secretariat; d) in advising the organs of the United Nations on general questions relating to the collection, analysis and dissemination of statistical information; e) in promoting the improvement of statistics and statistical methods generally.

  14. recognized the interest of the Statistical Commission and the Statistical Division in matters related to the use of computers in the United Nations system; and requested the Secretary-General to undertake, in cooperation with the specialized agencies, concerted action to assist the developing countries in strengthening their statistical systems.

  15. Indicators included in the list Mid-year population by age-group, sex and residence Number of students/pupils officially enrolled by sex, level and type of school (private/public) Public and private expenditure on education Nurses and midwives (per 1,000 people) Expenditure on health Under-five mortality rate Life expectancy at birth Labour force by age and sex Number of unemployed

  16. Mid-year population Source of data Demographic Year Book – based on data obtained annually from countries based on questionnaire United Nations Statistics Division: Yearly Data issues De-facto and De-jure A de facto population includes all persons physically present in the country or area at the reference date. The de jure population, by contrast, includes all usual residents of the given country or area, whether or not they were physically present in the area at the reference date. Different countries follow different concepts but in both cases they may not confirm to the actual concepts

  17. Rural-Urban classification Wide variations among national definition and concept of ‘urban’ areas. Age-distribution Age is often misreported Enrollment in School Source of data UNESCO Institute of Statistics: Yearly Based on data reported by the Education Ministries or National Statistics Office through a questionnaire sent to countries annually

  18. Classification Enrolment in primary education is the number of children of official primary school age (according to ISCED 97) who are enrolled in primary education – similarly for other levels ISCED - The International Standard Classification of Education (ISCED) belongs to the United Nations International Family of Economic and Social Classifications, which are applied in statistics world-wide with the purpose of assembling, compiling and analyzing cross-nationally comparable data. ISCED is the reference classification for organizing educational programmes and related qualifications by education levels and fields.

  19. For example: Primary education is defined by ISCED97 as programmes normally designed on a unit or project basis to give pupils a sound basic education in reading, writing and mathematics along with an elementary understanding of other subjects such as history, geography, natural science, social science, art and music. Collection Countries report through questionnaire according level of education defined in ISCED to ensure international comparability. The data comes from administrative data sources Data issues Data derived from administrative sources may not be based on same classification over time – adjustment made for comparability Adjustments made for over-reporting (other programmes included) or under-reporting (private schools not included or part of the country excluded) Un-known age

  20. Under-five mortality rate Source of data Levels and Trends in Child Mortality Estimates Developed by the UN-Inter-agency Group for Child Mortality Estimation UNICEF, WHO, The World Bank and Un Population Division: Yearly Data availability and estimation Basic data from countries – but limited availability of high quality data from many developing countries Most preferred source is civil registration system – but incomplete in most countries Mostly MICS, DHS and Census is used The Group estimates the data for a particular year using statistical modeling based on all the data points available from different sources Time lag –surveys 2.5 years and 3,5 years at the time of publications

  21. THANK YOU

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