| Domain 1: Demographic and Social Statistics |
Domain 2: Economic Statistics |
Domain 3: Environment and Multi-Domain Statistics |
Domain 4: Methodology of Data Collection, Processing, Dissemination and Analysis |
Domain 5: Strategic and Managerial Issues of Official Statistics |
| 1.1 Population and migration |
2.1 Macroeconomic statistics |
3.1 Environment |
4.1 Metadata |
5.1 Institutional frameworks and principles; role and organization of official statistics |
| 1.2 Labour |
2.2 Economic accounts |
3.2 Regional and small area statistics |
4.2 Classifications |
5.2 Statistical programmes; coordination within statistical systems |
| 1.3 Education |
2.3 Business statistics |
3.3 Multi-domain statistics and indicators |
4.3 Data sources |
5.3 Quality frameworks and measurement of performance of statistical systems and offices |
| 1.4 Health |
2.4 Sectoral statistics |
3.3.1 Living conditions, poverty and cross-cutting social issues |
4.3.1 Population and housing censuses; registers of population, dwellings and buildings |
5.4 Management and development of human resources |
| 1.5 Income and consumption |
2.4.1 Agriculture, forestry, fisheries |
3.3.2 Gender and special population groups |
4.3.2 Business and agricultural censuses and registers |
5.5 Management and development of technological resources (including standards for electronic data exchange and data sharing) |
| 1.6 Social protection |
2.4.2 Energy |
3.3.3 Information society |
4.3.3 Household surveys |
5.6 Coordination of international statistical work |
| 1.7 Human settlements and housing |
2.4.3 Mining, manufacturing, construction |
3.3.4 Globalisation |
4.3.4 Business and agricultural surveys |
5.7 Technical cooperation and capacity building |
| 1.8 Justice and crime |
2.4.4 Transport |
3.3.5 Indicators related to the Millennium Development Goals |
4.3.5 Other administrative sources |
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| 1.9 Culture |
2.4.5 Tourism |
3.3.6 Sustainable development |
4.4 Data editing and data linkage |
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| 1.10 Political and other community activities |
2.4.6 Banking, insurance, financial statistics |
3.3.7 Entrepreneurship |
4.5 Dissemination, data warehousing |
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| 1.11 Time use |
2.5 Government finance, fiscal and public sector statistics |
3.4 Yearbooks and similar compendia |
4.6 Statistical confidentiality and disclosure protection |
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2.6 International trade and balance of payments |
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4.7 Data analysis |
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2.7 Prices |
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2.8 Labour cost |
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2.9 Science, technology and innovation |
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The accurate, timely, reliable and consistent statistical data is of an utmost importance for policy making and strategy development in any country. The OIC member countries have varying levels of capacities for producing statistical data in accordance with the relevant internationally-accepted statistical standards. Thus, the Statistical Capacity Building (StatCaB) Programme for the National Statistical Offices (NSOs) of OIC Member Countries aims at matching statistical needs and capacities of the NSOs of OIC member countries and then organising training activities in order to close the statistical capacity gaps and thus contributing to the improvement of National Statistical Systems (NSSs) of the member countries.