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United Nations Statistics Division DESA, New York

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Presentation on theme: "United Nations Statistics Division DESA, New York"— Presentation transcript:

1 United Nations Statistics Division DESA, New York martinho@un.org
Workshop on MDG Monitoring Geneva, Switzerland, 8-11 November Reconciling international and national sources for effective global monitoring Maria Martinho United Nations Statistics Division DESA, New York

2 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Reconciling international and national sources for effective global monitoring Outline Global monitoring and the work by the Inter-agency and Expert Group on MDGs indicators (IAEG) Compilation of international sources Improving international sources and resolving data gaps and discrepancies Next steps Workshop on MDG Monitoring, Geneva, 8-11 November 2010

3 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Reconciling international and national sources for effective global monitoring Outline Global monitoring and the work by the Inter-agency and Expert Group on MDGs indicators (IAEG) Compilation of international sources Improving international sources and resolving data gaps and discrepancies Next steps Workshop on MDG Monitoring, Geneva, 8-11 November 2010

4 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
IAEG on MDG Indicators The Inter-Agency and Expert Group (IAEG) on MDG Indicators Holds 2 meetings per year Coordinated by the UN Statistics Division/DESA Composed of representatives from: Over 25 specialized agencies UN Regional commissions National Statistical Offices Thematic sub-groups of the IAEG Gender Employment Health Poverty and hunger Environment Slums Workshop on MDG Monitoring, Geneva, 8-11 November 2010

5 IAEG and MDG monitoring
IAEG is responsible for: Compiling data and undertaking analysis to monitor progress towards the MDGs at the global and regional levels Reporting on status of annual progress through printed reports, progress charts, databases, etc. Reviewing and preparing guidelines on methodologies and technical issues related to the indicators Helping define priorities and strategies to support countries in data collection, analysis and reporting on MDGs Workshop on MDG Monitoring, Geneva, 8-11 November 2010

6 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Reconciling international and national sources for effective global monitoring Outline Global monitoring and the work by the Inter-agency and Expert Group on MDGs indicators (IAEG) Compilation of international sources Improving international sources and resolving data gaps and discrepancies Next steps Workshop on MDG Monitoring, Geneva, 8-11 November 2010

7 Revised MDG monitoring framework: proposals by the IAEG
To ensure comparability across countries and regions, data used for the global monitoring are compiled by international agencies within their area of expertise For each indicator, one or more agencies were designated to be the official data providers and to take the lead in developing appropriate methodologies for data collection and analysis. Data are typically drawn from official statistics provided by governments to the international agencies responsible for the indicator, through periodic data collection from ministries and NSOs (ex. ILO)…. or collected through surveys sponsored and carried out by international agencies (ex. MICS, DHS) Workshop on MDG Monitoring, Geneva, 8-11 November 2010

8 Data provided by the international agencies
Workshop on MDG Monitoring, Geneva, 8-11 November 2010

9 Data compilation: from national sources to the MDG database
International agency country office Agency Headquarters eg. UNICEF MDG Indicators database 60 MDG indicators + background/additional indicators 192 Member States mdgs.un.org Agency Headquarters eg. UNESCO Line Ministry in the country National Statistical Office in the country Agency Headquarters eg. ILO Workshop on MDG Monitoring, Geneva, 8-11 November 2010

10 Data availability in international sources
Indicator Countries with at least 1 data point Countries with at least 2 data points Number % Population below $1 (PPP) per day 118 53 96 43 Children under 5 moderately or severely underweight 138 62 116 52 Total net enrolment ratio in primary education 185 83 173 78 Literacy rates 147 66 130 58 Share of women in wage employment in non-agricultural sector 213 163 73 Children under five mortality rate per 1,000 live births 192 86 HIV prevalence among population years old 142 64 140 63 Condom use at last high-risk sex, women 28 30 13 Tuberculosis death rate per 100,000 population 210 94 Proportion of the population using improved sanitation 191 Slum population 105 60 37 Source: MDG Indicators Database, at mdgs.un.org, Oct 2010 Workshop on MDG Monitoring, Geneva, 8-11 November 2010

11 But where are the data from?
Indicator Countries with at least 1 data point Countries with at least 2 data points Number % Population below $1 (PPP) per day 118 53 96 43 Children under 5 moderately or severely underweight 138 62 116 52 Total net enrolment ratio in primary education 185 83 173 78 Literacy rates 147 66 130 58 Share of women in wage employment in non-agricultural sector 213 163 73 Children under five mortality rate per 1,000 live births 192 86 HIV prevalence among population years old 142 64 140 63 Condom use at last high-risk sex, women 28 30 13 Tuberculosis death rate per 100,000 population 210 94 Proportion of the population using improved sanitation 191 Slum population 105 60 37 Country data Modelled Estimated Source: MDG Indicators Database, at mdgs.un.org Workshop on MDG Monitoring, Geneva, 8-11 November 2010

12 Different types of data in international data sources
Workshop on MDG Monitoring, Geneva, 8-11 November 2010

13 An example: ILO, Indicator for Goal 3
Indicator 3.2. Share of women in wage employment in the non-agricultural sector Estimated values vs. Predicted values Estimations based on auxiliary variables Total paid employment Total employment in non-agriculture Employees Total employment Economically Active Population in non-agriculture Empirical analysis shows that strong correlation exits between the indicator and the auxiliary variables. Workshop on MDG Monitoring, Geneva, 8-11 November 2010

14 An example: ILO, Indicator for Goal 3
Indicator 3.2. Share of women in wage employment in the non-agricultural sector Estimated values vs. Predicted values Predictions based on statistical models Only used to produce regional and global aggregates A separate two-level model is developed for each of the 5 regions, considering: between-countries variation over time within-country variation over time Based on the assumption that available data are representative of a country’s deviation from the average trend in its region, across time Workshop on MDG Monitoring, Geneva, 8-11 November 2010

15 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Reconciling international and national sources for effective global monitoring Outline Global monitoring and the work by the Inter-agency and Expert Group on MDGs indicators (IAEG) Compilation of international sources Improving international sources and resolving data gaps and discrepancies Next steps Workshop on MDG Monitoring, Geneva, 8-11 November 2010

16 Improving international sources
Recommendations of the friends of the Chair to improve further the compilation of the indicators used in the monitoring of the MDGs In July 2006, the Economic and Social Council adopted its resolution 2006/6 on strengthening statistical capacity in countries and included a set of recommendations to improve the coverage, transparency and reporting on all indicators Since then, the Inter-Agency and Expert Group has been working to implement the recommendations of the friends of the Chair and those contained in the ECOSOC resolution Workshop on MDG Monitoring, Geneva, 8-11 November 2010

17 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Work of the IAEG Improve data quality and transparency of methods Work with countries to identify priorities in national statistical capacity building Work with countries to identify best practices for coordination within national statistical systems and for reporting mechanisms to the international statistical system Address key methodological issues, including the use of population figures, in the computation of the indicators Develop improve training tools on the compilation of the indicators Workshop on MDG Monitoring, Geneva, 8-11 November 2010

18 Resolving data discrepancies
Improve consistency and transparency in reporting and presenting data and metadata for the international monitoring Adoption of the common platform for data exchange, the Statistical Data and Metadata Exchange (SDMX) Continue to improve the content and structure of the metadata and the tools available on the mdgs.un.org website The IAEG also recommended: To investigate the reasons for discrepancies between national and international data, and for data gaps To hold expert group meetings to establish strategies for dealing with data discrepancies and data gaps at the national and international levels. To provide technical assistance to countries in the use of international definitions. To improve the process of consultation by international agencies with countries before publishing their data. Workshop on MDG Monitoring, Geneva, 8-11 November 2010

19 Improve transparency in the MDG Indicators Database
Revised structure of metadata for MDG Indicators in the IAEG MDG Database CONTACT POINT in international agency DEFINITION METHODS OF COMPUTATION COMMENTS AND LIMITATIONS SOURCES OF DISCREPANCIES BETWEEN GLOBAL AND NATIONAL FIGURES PROCESS OF OBTAINING DATA TREATMENT OF MISSING VALUES DATA AVAILABILITY REGIONAL AND GLOBAL ESTIMATES EXPECTED TIME OF RELEASE UNSD MDG database now presents more detailed metadata: details on methodology used to calculate indicators contacts for users to obtain additional information Workshop on MDG Monitoring, Geneva, 8-11 November 2010

20 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Reconciling international and national sources for effective global monitoring Outline Global monitoring and the work by the Inter-agency and Expert Group on MDGs indicators (IAEG) Compilation of international sources Improving international sources and resolving data gaps and discrepancies Next steps Workshop on MDG Monitoring, Geneva, 8-11 November 2010

21 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Work of the IAEG The main objectives of the work of the group remain: Improving the effectiveness of capacity building activities Ensuring data quality and transparency, and reduce data gaps Workshop on MDG Monitoring, Geneva, 8-11 November 2010

22 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Work of the IAEG Improving the effectiveness of capacity building activities The group brings together international agencies, regional commissions and representatives of national statistical systems to set priorities and identify ways to improve the delivery of capacity building programmes and promote the scaling-up of resources Workshop on MDG Monitoring, Geneva, 8-11 November 2010

23 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Work of the IAEG Ensuring data quality and transparency Priority areas: Implement the recommendations by the friend of the Chair on MDG Indicators and those in the ECOSOC resolution Implement the recommendations by IAEG member countries in 2006 on coordination and reporting mechanisms (Survey to countries and agencies on coordination and reporting) Address some key methodological issues, including the use of population figures in the computation of the indicators and regional aggregates Continuing to improve the content and structure of the metadata and the tools available on the website SDMX task team to develop the data structure for MDG Indicators Revision of the handbook for country reporting Revision of the metadata on international series and upgrading of the database Workshop on MDG Monitoring, Geneva, 8-11 November 2010

24 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Work of the IAEG Reducing data gaps The group has developed a plan to involve more extensively regional commissions in data checking purposes (discrepancies between national and international data series) and in channelling and following-up on specific queries on data and metadata between national statistical systems and international agencies The plan also involves identifying underlying causes for data gaps and make specific recommendations for improvement Workshop on MDG Monitoring, Geneva, 8-11 November 2010

25 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Next steps Continue to develop the data structure for SDMX International agencies Countries Develop new methodologies for the assessment of progress Global and regional level Country level Continue the work to assist countries develop their system of coordination and reporting to the international statistical system Workshops and EGMs on coordination practices Workshop on MDG Monitoring, Geneva, 8-11 November 2010

26 Workshop on MDG Monitoring, Geneva, 8-11 November 2010
Reconciling international and national sources for effective global monitoring THANK YOU Visit mdgs.un.org Workshop on MDG Monitoring, Geneva, 8-11 November 2010


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