Challenges and Experiences in Producing Disaggregated Data in Sierra Leone
Explore the challenges faced by Statistics Sierra Leone in producing disaggregated data, including methodology, questionnaire design, missing data issues, and reporting formats. Discover how SSL has evolved over the years and what has been done so far to address these challenges.
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Presentation Transcript
EXPERIENCES AND CHALLENGES IN PRODUCING DISAGGREGATED DATA IN SIERRA LEONE A L I M A T U V A N D I A L I M A T U V A N D I
PRESENTATION OUTLINE Population Size and Distribution of Sierra Leone Population Size and Distribution of Sierra Leone What we do at Statistics Sierra Leone (SSL) What we do at Statistics Sierra Leone (SSL) Challenges/ Experiences with Data Disaggregation Challenges/ Experiences with Data Disaggregation What SSL has done so far with regards to data Disaggregation What SSL has done so far with regards to data Disaggregation
POPULATION SIZE AND DISTRIBUTION 3,490,978 3,490,978 MALE TOTAL POPULATION 7,092,113 FEMALE 3,601,135 3,601,135 SEX RATIO 96.8 Main Age Groups 40.9 % less than 15 years 59% 59% 41% 41% 55.6 % aged 15-64 years 3.5 % aged 65 years + URBAN RURAL
The Government Statistical Office of Sierra Leone (SSL) through the Act, 2002 is the body corporate for the collection, compilation, analysis and dissemination of official and other related matters.
Statistics Sierra Leone, like other NSOs produces data mostly through the conduct of Censuses , sample surveys such as DHS, MICS, LFS, SLIHS, etc. SSL also source for data from Administrative sources from MDAs. Some of these surveys are conducted in different timelines and sometimes can be deferred due to funding challenges or for other reasons e.g EVD, 2014
CHALLENGES SSL has evolved over the years from reporting the data produced in an aggregated manner to a disaggregated form There are various challenges with the Traditional, Censuses, sample surveys and administrative data sources: Methodology Definition of Key concepts Design of the questionnaires Missing data (mostly with administrative data) Reporting format
WHAT NEEDS /HAS BEEN DONE SO FAR WHAT NEEDS /HAS BEEN DONE SO FAR Censuses capture poverty at household levels not by the sex of persons within the households SLDHS (2008 & 2013) Reproductive ages for women 15-49 years (No provision for adolescent 10-14 ) Births attended by skilled health personnel not births by women with disabilities attended by skilled health personnel MICS 2017 ( Verbal autopsy to determine causes of death for under-fives), Used CAPI
WHAT SSL HAS BEEN DONE SO FAR Methodology of the traditional censuses and surveys to aid in data capture which can be used to monitor the SDGs To compute for indicators in the just completed census,2015 and surveys if the data is already available To coordinate and collaborate with data producers with the aim to strengthen data production and reporting e.g Training of personnel's from partners aimed to build capacity in data capture e.g
WHAT SSL HAS BEEN DONE SO FAR Develop a collection tool to capture data for partners e.g. The Police( new template for data collection which is still not adopted because of financial constrains), The National Office of Births & Deaths Attached Statisticians to key MDAs to strengthen their data production and capacity & lastly SSL has signed MOU s with each of these MDAs In the process of developing a manual with the definition of concepts and indicators. Review of the 2002 Act (2015 Statistics Draft Bill) And Lastly, the data produced at SSL are mostly disaggregated by sex.
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