An Overview of data disaggregation in The Gambia Sub-regional workshop on Data Disaggregation Lilongwe, Malawi, 27-29 September 2017
OUTLINE: Definition of data disaggregation Importance of Data disaggregation Overview of data disaggregation In GBoS
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.
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.
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
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
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.
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).
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.
Studies & Indicators that are Disaggregated Population and housing census MICS MIS DHS HIS Administrative data from MOH & MOE All other major studies.
Cont’s Data produced by the NSS is Disaggregation mostly by these indicators Educational attainment Employment status Disability Ethnicity Age
Cont’s Sex Income/ wealth quintiles Local Government Area (LGA)Region/district Residence (Urban/rural) Public/Private; formal/non-formal Businesses Religion
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