Refugee Access to Livelihoods May 2019 and Housing, Land, and Property UGANDA CONTEXT METHODOLOGY POPULATION PROFILE OF Uganda is currently hosting the largest number A mixed methods approach was used, driven by a of refugees in the region with over 1.2 million household-level structured survey, semi-structured key REFUGEES IN UGANDA refugees and asylum seekers, primarily from informant interviews (KIIs) and focus group discussions South Sudan, the Democratic Republic of (FGDs). The quantitative household-level survey produced Demographics1 1 Congo (DRC), and Burundi. Recently arrived results representative for the refugee population in 30 Female 2+20+8+13+9 Age Male1+16+9+13+9 refugees have joined Rwandese, Somali, and refugee settlements (considered as 25 due to five combined 20% 2% 60+ 1% other refugees that have lived in Uganda for settlements in Adjumani) across 11 districts, as well as decades. Due to the large number of refugees, select divisions of Kampala (Makindye, Kampala Central, 18-59 16% the range of countries of origin, and the and Kawempe) with a 95% confidence level and 10% 8% 12-17 9% varying lengths of displacement, there are key margin of error at the settlement level for all questions asked 13% 5-11 13% information gaps on how access to or lack of to the entire sample size. A total of 3,165 households were 9% 0-4 9% housing, land, and property (HLP) for refugees interviewed for this assessments. All questions referring to impact their potential for sustainable livelihoods. a subset are footnoted. Female-headed Average In partnership with Norwegian Refugee Council KIIs and FGDs were used to triangulate the data and households (HHs): household size: (NRC), REACH conducted an assessment from provide context to quantitative findings. KIIs targeted 3 December 2018 to 15 March 2019 2019 to settlement leadership, including Office of the Prime Minister♏ 67% 7 collect baseline data on refugees' access to (OPM) commandants and UNHCR staff, refugee welfare 1 livelihoods and HLP. The assessment aims to committee leaders, district local government officials, and Displacement demographics provide a better understanding of the conditions key partners working in relevant sectors. Semi-structured Top countries of origin:1 of refugee access to livelihoods and HLP, FGDs were stratified by gender and conducted with refugee 1 South Sudan (65%) the linkages, and other factors influencing and host community groups in each location. sustainable livelihoods and potential movement 2 DRC (27%) Findings in this factsheet are representative of refugee within Uganda. households living in 3 divisions of Kampala. A total of 3 Burundi (3%) 114 refugee households were interviewed in Kawempe 4 Somalia (2%) Division. BRIEF OVERVIEW OF KAWEMPE DIVISION Kawempe is located on the northwestern edge of Kampala. It is bordered by Nabweru to the north, Kisaasi to the east, Bwaise to the south, Kazo to the southwest and Nansana in Wakiso District to the west. The road distance between Kampala's central business district and Kawempe is approximately 8.5 kilometres. HHs WITH VULNERABLE MEMBERS 22+18+17+70 Unaccompanied/separated child,orphan 22% Disabled members 18% Pregnant / lactating women 17% ♏ Female-headed HHs 70% HHs reporting member with persons with specific needs (PSN) card: 5% HHs reporting that some members are not 51% registered as refugees: TOP 3 HLP CHALLENGES51+2 49+I 90+10+5 Housing3 90% Property 10% Land accessed for housing 5% 1 Figures based on United Nations High Commissioner for Refugees (UNHCR) and Office of the Prime Minister (OPM) population figures updated as of April 2019. 2This question was only asked to the 18% of respondents facing HLP challenges. The level of confidence may thus be lower than 95%. 3Respondents could answer more than one option for this question. Funded by European Union 1 Civil Protec�on and Humanitarian Aid UGANDA KAMPALA ♏ HOUSING KAWEMPE DIVISION HHs perceiving themselves at risk of eviction: 35% TENURE ARRANGEMENTS %♏ of HHs by shelter tenure: Average♏ number of individuals per room: 6 97% Rented 3% Owned by the head of the household SHELTER CHALLENGES 18% of HHs reported shelter damage. Of those, the most 97+3+I commonly reported parts of the shelter damaged are:3 87% of HHs have documentation proving ownership or legal occupancy of shelter. 48+33+29 ♏ Damage to windows and/or doors 48% Of those, the most commonly reported types of Damage to wall material 33% documentation are:3 Damage to roof 29% 73+14+10 Rental receipt 73% Other receipt 76% of HHs reported not being able to conduct repairs. Of ♏ 14% those, the most commonly reported reasons include:3 Rental agreement 10% 63+50 ♏ No money for repair 63% Of the 92% of HHs who reported their renting costs: Waiting for landlord to repair shelter 50% Average monthly rent: 412,466 UGX Of those, proportion of income spent on rent: % of HHs reporting 40+36+17 members do not feel safe 18% 15% Around half 40% in their current shelter: More than half 36% Less than half 17% 18Female +82I 15Male +85I 3 % of renting HHs by person they 97+2+1 are paying the rent to: 16% of HHs reported having sometimes, often or always Host community household 97% visible wastewater in the vicinity (30 meters or less) of their Other refugee household 2% accommodation in the 30 days prior to data collection Other 1% LAND ACCESS TO LAND % of HHs reporting:3 Method of accessing land around shelter plot: 62+35+3 ♏ No access to any land 62% 85% Renting to access someone else's land Accessing land where shelter is located 35% 5% Accessing someone else's land for free Accessing land in a separate plot 3% 5% The household owns the land 3% The household uses land where they have not 85+5+5+3+2+I been granted access 2% Respondents chose not to answer Funded by European Union 2 Civil Protec�on and Humanitarian Aid UGANDA KAMPALA HLP Challenges KAWEMPE DIVISION 18% of HHs reported facing HLP challenges. Of those: HLP ISSUE RESOLUTION Most commonly reported areas of HLP issues (% of HLP 12% of the 22 HLP issues reported were attempted to 3 90+10+5+5 issues): be resolved by the HHs Housing 90% Property 10% Out of the HLP issues that HHs attempted to resolve, Land accessed for housing 5% the following mechanisms were used:3 Land accessed for cultivation 5% 40+33+20 LC1 chairperson/local gov official 40% Most commonly reported types of HLP issues (% of HLP Family 33% 3 issues): Local council court 20% 41+32+18 Payment issue dispute 41% Eviction 32% 11% of the HLP issues reported were resolved Theft 18% ♏ ACCESS TO PROPERTY INFORMATION Most commonly reported sources and types of 75% of HHs reported having no property at all. 3 Out of the 25% who do: information HHs access: ♏ HHs with income-generating ♏ 73+23+18 Family and friends 73% property: 13% Source Local councils 23% 18% Most commonly reported type of property:3 TV 9+8+5 Vehicle 9% Sewing machine 8% 51+25+22 Physical structure for shop/small business 5% Type of Registration 51% 25% of HH reported participating in livelihoods groups information Availability of services 90% of property items are owned by Safety 22% one owner. Proportion of those by sex of 54% Female owner: 46% Male 86% of HHs reported trusting the information they receive of HHs that own property/assets54 reported+46I having 71% documentation proving ownership or legal access Most commonly reported information needs of HHs:3 % of HHs by number of income-generating property items reportedly owned: 61+33+32 Employment opportunities 61% 87% Zero income-generating items Safety 33% 13% One income-generating item Availability of services 32% 0% Two income-generating items 87+13+0+0+I 0% Three income-generating items Funded by European Union 3 Civil Protec�on and Humanitarian Aid UGANDA LIVELIHOODS KAMPALA ♏ KAWEMPE DIVISION HHs reporting perceived livelihoods challenges: 98% LIVELIHOODS SOURCES SKILLS AND ASPIRATIONS Out of the 80% of HHs who reported having a source 85% of HHs have men of working age and 94% of HHs have of income, the most commonly reported sources are:3 women of working age. Of those: 37+13+9 Remittances 37% Most commonly reported livelihoods skills gained in country Street trade 13% of origin:3 Sales 9% Most commonly reported livelihood groups HH Driving 19% Domestic work in the home 47% 3 Computer 18% Cook 19% members participate in: 11+7+4 Casual labour 13% Hairdressing 12% Business association 11% Women's group 7% Village Savings and Loan Associations 4% Most commonly reported livelihoods aspirations:3 Most commonly reported livelihoods challenges:3 73+39+27 Lack of work opportunities 73% Computer 34% NGO 22% Lack of credit to start/continue a business 39% Driving 19% Sales 20% Low wages 27% NGO 19% Computer 19% MOVEMENTS♏ WITHIN UGANDA PAST MOVEMENTS MOVEMENT INTENTIONS % of HHs that had at least one % of HHs that have at least one member move in the year prior to 11% member planning to move in the 6 data collection: months following data collection: 16% Of those: 11+89I Of those: 16+84I Most commonly reported reasons for moving:3 Most commonly reported reasons for planned movement:3 50+33+17 50+33+22 Joining other family members 50% Presence of shelter 50% Security 33% Presence of education services 33% Presence of education services 17% Presence of food distribution 22% ♏ 100% of the HHs with at least one member who moved reported that they receive resources from the member that moved Funded by European Union 4 Civil Protec�on and Humanitarian Aid .