Statistiskt stöd till Somalia fas II Statistical support to Somalia phase II SCB har ansökt till Sida om att få inleda en andra fas (2020 - 2022) av ett  statistiksamarbete med det övergripande syftet att stärka kapaciteten hos statistikmyndigheterna i Somalia. Fas I löpte mellan 2015 och 2019 och denna andra fas syftar nu till att konsolidera och utveckla den kapacitet och kunskap som de deltagande somaliska myndigheterna förvärvade i den första fasen. 

Detta kommer att ske genom att fortsätta stödja de somaliska statistikmyndigheterna. Projektets övergripande målsättning är således att:

Stärka den statistiska kapaciteten i Somalia i syfte att underlätta beslutsfattarnas medvetenhet, förståelse och förtroende för statistiska uppgifter.

Projektets förväntade resultat är:

1) Förbättrad kvalitet i framtagandet av social och ekonomisk statistik.
2) Förbättrad och förstärkt kapacitet bland personalen på statiskmyndigheterna inom statistisk metod.
3) Ökad tillgång till statistik och data med hög kvalitet. 
4) Förbättrad och förstärkt planering och organisering av statistikmyndigheterna.

Denna andra fas förväntas stärka institutionell och teknisk kapacitet hos statistikbyrån i den federala regeringen i Somalia (FGS) och hos statistikbyrån i Puntland. Somaliland har varit en del av fas ett av denna insats och ambitionen är att åter få dem inkluderade under de kommande åren. Statistics Sweden has applied to Sida to initiate a second phase (2020 - 2022) of a statistical collaboration with the overall aim of strengthening the capacity of the statistical authorities in Somalia. Phase I ran between 2015 and 2019 and this second phase is now aiming at consolidating and developing the capacity and knowledge acquired by the participating Somali authorities in the first phase.

This will be done by continuing to support the Somali statistical authorities. The overall objective of the project is thus to:

Strengthen the statistical capacity in Somalia in order to facilitate decision-makers' awareness, understanding and confidence in statistical data.

The project's expected results are:

1) Improved quality in the production of social and economic statistics.
2) Improved and strengthened capacity among the statistical authorities in the statistical method.
3) Increased access to high quality statistics and data.
4) Improved and strengthened planning and organization of the statistical authorities.

This second phase is expected to strengthen the institutional and technical capacity of the Statistics Office of the Federal Government of Somalia (FGS) and of the Statistics Office of Puntland. Somaliland has been part of phase I of this effort and the ambition is to have them included again in this second phase. Development objectives
The overall development objective of this intervention is strengthened statistical capacity with the purpose of raising decision makers awareness, understanding and trust in statistical data.
Expected results by the end of the intervention:
1) Statistical production: The Somali statistical authorities have improved the quality of statistical production in social and economic statistics
2) Statistical methodology: The general capacity in statistical methodology is improved and strengthened at the statistical departments
3) Communication and dissemination: Users have increased access to statistics data
4) Management: Planning and organisation of the statistical departments are improved
The project proposal has a Theory of Change (ToC) following the logic below with some examples what is achieved at each level:
Individual learning --> Institutional change --> Institutional effectiveness by increased access to data --> Increased level of awareness and trust in statistics by decision-makers --> Reaching country's development goals
Individual learning - Staff is trained in different statistical areas (social, economic and environment), in methodology, communication, dissemination and management of statistics, this leads to Institutional change - when staff are trained and motivated statistical directorate and departments can develop realistic work plans for various statistical subject areas, this leads to Institutional effectiveness by increased access to data - Statistical departments, through their trained staff, have increased routines and capacity to produce and disseminate quality statistics, this leads to Increased level of awareness and trust in statistics by decision-makers - when the statistics produced and disseminated by statistics departments are recognised as of high quality it is used by decision makers for policy making and this leads to Reaching country's development goals - when using quality statistics, the country is able to better monitor the progress of the NDP and the SDGs and thus reaching and monitoring the country's development goals is enhanced.