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Dhobley Afmadow Diff DHOBLEY AFMADOW DIFF MAPPING EXERCISE DECEMBER 2014 Mapping Infrastructure Exercise: Dhobley, Diff, Afm a d o w 1 | P a g e BACKGROUND natural land boundaries belonging to one or more Dhobley, Afmadow, Diff are situated in the landowner. Jubaland region which is one the most populace The report takes into account several key regions of Somalia with an estimated population limitations in the collection of data: of 953,045 inhabitants (UNDP, 2005). The • territory consists of the Gedo, Lower Juba, and Due to budget restrictions and the short Middle Jubba provinces. The largest city of time-scale, general data on each settlement Jubbaland is Kismayo, which is situated on the was collected through a key informant 3 coast near the mouth of the Jubba River. The interview (KII). IDP population in Jubbaland is estimated at • Due to security restrictions and the capacity 135,000 IDPs (UNHCR total IDPs per region of field staff, the methodology used for report, September 2014) average shelter density was limited to 0 case-studies and random sampling in the As with other parts of Somalia, vulnerable other settlements. Therefore, it was not communities in Jubbaland face harsh living possible to come up with average surface conditions due to the lack of adequate access to areas per household. basic necessities of life such as food, shelter and • Data collected may reflect both IDP and host save drinking water. As per the latest FSNAU community needs. post GU 2014 analysis report, a “comprehensive • Other approaches based on probability nutrition assessment conducted in Dhobley IDPs sampling, including cluster and area record Critical levels of GAM (>15%), which sampling 4, were considered but were not are Sustained Critical since Deyr 2013/14 or used due to budget restrictions and non- Gu’13. Serious levels of SAM prevalence availability of updated Satellite imagery. (>2.4%) were also recorded in Dhobley IDPs in Emphasis was given to collecting reliable Gu 2014”. GPS data for the perimeter, density and This fact-sheet presents an analysis of primary facility purposes, which resulted in less data collected by AVORD and SAF during the representative data at the household level. month of April in Afmadow, Diff and Dhobley. The collection of data was closely supervised by the Shelter Cluster in Somalia. METHODOLOGY The objective of the infrastructure mapping The aim of the exercise was to produce quick 5 exercise is to provide a useful and timely ‘snap- turnaround ‘baseline data’ that would enable the shot’ of the IDP 1 settlements 2 in Afmadow, Diff production of a map of all settlements including and Dhobley, with a main aim to map out the a perimeter, shelter-density checks and an basic services that IDPs can access in their overview of all facilities accessed by IDPs. The respective settlements. This factsheet does not exercise was conducted on a limited budget and aim to provide detailed programmatic consequently a restricted timeframe. This, information; rather it is designed to share with a combined with security considerations, led the broad audience a concise overview of the current data collection team to adopt a methodology that situation in this area. was appropriate for the Somalia context and for the scope of this particular exercise . The Settlements in Somalia generally are divided into following provides an overview of the numerous ‘umbrellas’. Each umbrella is made up methodology developed: of multiple IDP settlements. Umbrella leaders are responsible for the oversight and management of the settlements. Each of the settlements generally have an elected leader or 3 Key Informants are categorized as follows IDP community ‘gatekeeper’ responsible for multiple IDP leader, IDP elder, Host community leader, Host community settlements and landowner engagement. elder, religious leader or a focus group. 4 Settlements in Somalia are often divided by This methodology is often used to conduct rapid needs assessment of affected communities after natural disasters through household questionnaires. 5 As the methodology adopted does not provide a basis for a statistical assessment, the results are suggestive and serve as 1 IDP: Internally Displaced Person a starting point for improved programming interventions. 2 Majority of the settlements are IDPs but the data collected Nevertheless, as there is a lack of base-line data, this report comprises both IDPs and urban poor. can be seen as suggestive for base-line purposes. Mapping Infrastructure Exercise: Dhobley, Diff, Afm a d o w 2 | P a g e • General data is collected through a key- Nevertheless, the results are extremely informant interview 6. suggestive and serve as a starting point for • Perimeter of each settlement: The data- improved programming interventions. collectors walk around the settlement and UNHCR provided the necessary support for capture one in every ten households who payments of the enumerators and the Cluster resides on the boundary of the settlement. members contributed with human resources and Data in the household survey is collected transport. The Shelter Cluster ensured a through direct observation by the data- coordination task during the data collection and collector. the compilation of the final report. • Facilities mapping: All basic services that IDPs access in their respective settlement are recorded. This includes latrines, water- DATA COLLECTION points, schools, health facilities, kiosks, The methodology applied for this interagency markets, mosques, garbage collection points, assessment included two phases of data police posts, solar lighting posts and collection and analysis: secondary data review community centres. Most data is collected with the Shelter Cluster partners in Afmadow, through direct observation and through Diff and Dhobley and primary data collection. meetings with staff available at the facilities Remote sensing and spatial analysis can be or IDPs and host community members living added to this exercise if updated Satellite around the facility. Imagery could be provided. • Density case studies 7: The aim of the density checks is to conduct a quick turnaround Drawing on background information from a household assessment with data that helps to secondary data review from key agencies in calculate average surface areas per Afmadow, Diff and Dhobley, the assessment household. The household survey includes engaged cluster member agencies in the primary questions regarding shelter-typology and data collection. One tool was developed for the shelter-density. In general, there seems to be primary data collection phase: a settlement a correlation in-between shelter- infrastructure mapping survey, which included a density/shelter-typology and the surface area key informant interview, direct observation that each household occupies in the surveys for HH data and the facility surveys. settlement. The mapping exercise The surveys were all conducted with mobile incorporates (1) case studies where all HHs phones by non-technical staff, engaged through living in pre-selected settlements (or cluster partners in Afmadow, Diff and Dhobley sections of settlements) were mapped out as and trained by the Shelter Cluster staff. Before well as (2) random sampling of households beginning data collection, the assessment officer within the remaining settlements. conducted a one-day training on the tool, The total exercise was produced in 2 weeks of methodology and data collection plan for team field work and to a budget of under $8,000 8. The leaders/enumerators in Afmadow, Diff and methodology adopted does not provide a basis Dhobley. The Shelter Cluster secretariat for a statistical assessment of the resulting provided feed-back in crucial intervals to the shelter-density estimate and so p-values and/or Cluster staff in the field and the team leaders. confidence intervals could not be prepared. It is Data collection was undertaken by 4 assessment therefore strongly recommended that, time and teams, with each team consisting of one team budget permitting, future surveys of this type be leader and four enumerators responsible for data conducted on a probability basis to permit the collection. Assessment teams were comprised of preparation of a full statistical analysis.9 male and female enumerators. 10 Access to the settlements was negotiated in 6 Due to budget constraints, it was not possible to use the UNHCR participatory assessment methodology which would advance through dialogue with the local recommend the use of different focus group discussions authority as well as umbrella and settlement divided according to age and gender. 7 See page 10 for more detailed explication leaders, including gatekeepers. 8 Including training costs, daily allowances for the teamleaders/enumerators, but excluding salary costs, flights and other related costs for all Shelter Cluster staff. 10 This is dependent on the availability of female enumerators within the organisations. Mapping Infrastructure Exercise: Dhobley, Diff, Afm a d o w 3 | P a g e The data was uploaded directly from the mobile Table: % of place of origin reported in KII 12 phones onto the mFieldwork online platform for DISTRICT % analysis by teams based in Nairobi. The Lower Juba 60% assessment databases as well as the methodology Middle Juba 33% and data collection tools are available upon Gedo % request. Bay % GENERAL DATA Bakool % According to data collected during the KII, it Banaadir % was reported that there are 2007 households living in 15 settlements. On average, 7% of the Hiraan % households were reported
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