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Understanding Data Disaggregation: Key Aspects & Implications

Explore the definition, importance, and application of data disaggregation in The Gambia, focusing on the Gambia Bureau of Statistics (GBoS) and relevant studies and indicators.

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Understanding Data Disaggregation: Key Aspects & Implications

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  1. An Overview of data disaggregation in The Gambia Sub-regional workshop on Data Disaggregation Lilongwe, Malawi, 27-29 September 2017

  2. OUTLINE: Definition of data disaggregation Importance of Data disaggregation Overview of data disaggregation In GBoS

  3. Definition of Data Disaggregation • To understand the importance of disaggregating data, it is important to understand it’s definition. • Data disaggregation is the process of breaking down information collected from individual or single/multiple sources into smaller subgroups.

  4. Importance of Data Disaggretion • Disaggregating data is another critical step to gaining increased knowledge from aggregated information. • Disaggregating data involves exploring more deeply into data to highlight issues that pertain to individual subsets and/or outcomes of aggregated data.

  5. Cont’s • Disaggregation can be important because subgroups may differ substantially, in ways that are hidden by the aggregate figures. • In some cases, it will turn out that the aggregate figures are not reflective enough of the realities • Disaggregating data helps to expose hidden trends

  6. Cont’s • can help establish the scope of the problem and can make vulnerable groups more visible to policy makers • To improve effectiveness, precision and sustainability in policy implementation • Better information lead to better policy decisions

  7. Overview of data disaggregation by GBoS • The Gambia Bureau of Statistics is the lead agency in the National Statistical System (NSS) charged with responsibility of conducting Population and Housing Censuses, conduct ad hoc demographic and socio - economic surveys and production of official statistics.

  8. Cont’s • It was established by an act of parliament in 2005. • The statistic Act empowers GBoS to coordinate and regulate all statistical activities conducted by all producers of statistics in the National Statistical System (NSS).

  9. Cont’s • There is no legal requirement for data produce by the NSS to be disaggregated by subgroups. • There are plans to update the Statistics Act. • Almost most of the studies conducted by the NSS is one way or the other disaggregated.

  10. Studies & Indicators that are Disaggregated • Population and housing census • MICS • MIS • DHS • HIS • Administrative data from MOH & MOE • All other major studies.

  11. Cont’s • Data produced by the NSS is Disaggregation mostly by these indicators • Educational attainment • Employment status • Disability • Ethnicity • Age

  12. Cont’s • Sex • Income/ wealth quintiles • Local Government Area (LGA)Region/district • Residence (Urban/rural) • Public/Private; formal/non-formal Businesses • Religion

  13. THANK YOU

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