73+I 1 1 7% 17% 12% 42% 100% 8% 7 16% 13% 9% 9% Average Average 1 1% 27% Male (3%) household size:

2 27+ 0-4 60+ 1+16+9+13+95-11 Age 18-59 12-17 DRC (27%) Burundi Somalia (2%) South Sudan (65%) 11% May 2019

2 3 4 1 2% 7+17+12+42 Demographics 8%

2+20+8+13+9 9% Female Top countries of origin: Top 13% 20% 67% Displacement demographics 3 REFUGEES IN UGANDA REFUGEES IN

Female-headed 100+8 POPULATION PROFILE OF PROFILE POPULATION households (HHs): Disabled members ☪ Female-headed HHs Property Housing TOP 3 HLP CHALLENGES Pregnant / lactating women HHs WITH VULNERABLE MEMBERS HHs reporting member with persons with specific needs (PSN) card: HHs reporting that some members are not registered as refugees: Unaccompanied/separated child,orphan Unaccompanied/separated child,orphan of the Prime Minister (OPM) population figures updated as of April 2019. of the Prime Minister (OPM) population figures updated as of Funded by Union European and Civil Protec�on Aid Humanitarian settlement leadership, including Office of the Prime Minister Prime the of Office including leadership, settlement (OPM) commandants and UNHCR staff, refugee welfare committee leaders, district local government officials, and key partners working in relevant sectors. Semi-structured FGDs were stratified by location. refugee and host community groups in each gender and conducted with of refugee Findings in this factsheet are representative total of A households living in 3 divisions of . refugee households were interviewed in 118 Division. informant interviews (KIIs) and focus group discussions and focus group discussions informant interviews(KIIs) household-levelThe quantitative survey produced (FGDs). results representative for the refugee population in 30 refugee settlements (considered as districts, as Adjumani) across 11 combined settlements in 25 due to five well as select divisions Kampala (Makindye, of Kampala Central, and ) with a 95% confidence level and the settlement10% margin of error at level for all questions households 3,165 total of A sample size. the entire asked to All questions were interviewed for this assessments. referring to a subset are footnoted. KIIs and FGDs were used to triangulate the data and provide context to quantitative findings. KIIs targeted A mixed methods approach used, was driven by a A semi-structured key household-level survey, structured METHODOLOGY Recently arrived 1

Figures based on United Nations High Commissioner for Refugees (UNHCR) and Office

Respondents could answer more than one option for this question. This question was only asked to the 11% of respondents facing HLP challenges. The level of confidence may thus be lower than 95%. challenges. of respondents facing HLP This question was only asked to the 11%

3 1 2

♏

and Housing, Land, and Property and Land, Housing, and Refugee Access to Livelihoods Livelihoods to Access Refugee

between Kampala's central business district and Makindye is approximately 6 kilometers. between Kampala's central business the division is Murchison Bay, a part of Lake Victoria. Division lies to the northeast of . The road distance road The Division. Makindye of northeast the to lies Division Nakawa Victoria. Lake of part a Bay, Murchison is division the Makindye Division is in the southeastern corner of the city, bordering Wakiso District to the south and west. The eastern boundary of to the south and west. District bordering Wakiso corner of the city, Makindye Division is in the southeastern

BRIEF OVERVIEW OF MAKINDYE DIVISION BRIEF OVERVIEW OF MAKINDYE CONTEXT

within Uganda. sustainable livelihoods and potential movement the linkages, and other factors influencing of refugee access to livelihoods and HLP, provide a better understanding of the conditions livelihoods and The HLP. assessment aims to collect baseline data on refugees' access to 3 December 2018 to 15 March 2019 2019 to December 2018 to 15 March 2019 3

(NRC), REACH conducted an assessment from assessment an conducted REACH (NRC), In partnership with Norwegian Refugee Council impact their potential for sustainable livelihoods. housing, land, and property (HLP) for refugees information gaps on how access to or lack of varying lengths of displacement, there are key the range of countries of origin, and the the range of countries decades. Due to the large number of refugees, decades. Due

other refugees that have lived in Uganda for refugees have joined Rwandese, Somali, and Congo (DRC), and Burundi. South Sudan, the Democratic Republic of refugees and asylum seekers, primarily from of refugees in the region with over 1.2 million of refugees in the region Uganda is currently hosting the largest number 1 UGANDA KAMPALA ☇☄ HOUSING MAKINDYE DIVISION HHs perceiving themselves at risk of eviction: 20% TENURE ARRANGEMENTS %⚯ of HHs by shelter tenure: Average♺ number of individuals per room: 4 99% Rented SHELTER CHALLENGES 1% Owned by neighbors (rent free)

22% of HHs reported shelter damage. Of those, the most commonly reported parts of the shelter damaged are:3

99+1+I 42+35+27 75% of HHs have documentation proving ownership or legal occupancy of shelter. ⛈ Damage to floor 42% Of those, the most commonly reported types of Damage to wall material 35% documentation are:3 Damage to roof 27% 88+8+6 Rental receipt 88% Other receipt 81% of HHs reported not being able to conduct repairs. Of ⛎ 8% those, the most commonly reported reasons include:3 Purchase receipt 6% 65+40 ⛎ No money for repair 65% Of the 98% of HHs who reported their renting costs: Waiting for landlord to repair shelter 40%

Average monthly rent: 293,352 UGX

Of those, proportion of income spent on rent: % of HHs reporting 41+35+24 members do not feel safe 23% 23% More than half 41% in their current shelter: Around half 35% Less than half 24% 23Female +77I 23Male +77I % of renting HHs by person they are paying the rent to:3

97+3 30% of HHs reported having sometimes, often or Host community household always visible wastewater in the vicinity (30 meters or 97% less) of their accommodation in the 30 days prior to Other refugee household 3% data collection

LAND ACCESS TO LAND % of HHs reporting:3 ⚉ Method of accessing land around shelter plot: 75+25+

No access to any land 75% + Accessing land where shelter is located 25% 100+++I 100% Renting to access someone else's land

Funded by European Union 2 Civil Protec�on and Humanitarian Aid UGANDA KAMPALA HLP Challenges MAKINDYE DIVISION

11% of HHs reported facing HLP challenges. Of those: HLP ISSUE RESOLUTION Most commonly reported areas of HLP issues (% of HLP 8% of the 14 HLP issues reported were attempted to be resolved by the HHs issues):3 100+8 Housing 100% Property Out of the HLP issues that HHs attempted to resolve, 8% the following mechanisms were used:3 50+30+20 Most commonly reported types of HLP issues (% of Family 50% 3 Landlord 30% HLP issues): 57+43+21 20% Payment issue dispute 57% Local clan/traditional leaders Eviction 43% Confiscated property 21% 8% of the HLP issues reported were resolved

☮ ACCESS TO PROPERTY INFORMATION

Most commonly reported sources and types of 83% of HHs reported having no property at all. 3 Out of the 17% who do: information HHs access: ♁ HHs with income-generating ♧ 78+38+20 Family and friends 78% property: 13% Source Local councils 38% Most commonly reported type of property:3 Religious leaders 20% 7+5+3 Physical structure for shop/small business 7% Sewing machine 5% 48+36+25 Vehicle 3% Type of Registration 48% 36% of HH reported participating in livelihoods groups information Safety 100% of property items are owned Employment opportunities 25% by one owner.

Proportion of those by sex of 33% Female owner: 67% Male 98% of HHs reported trusting the information they receive of HHs that own property/assets33 reported+67I having 73% 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: 58+39+36 Employment opportunities 58% 87% Zero income-generating items Safety 39% 13% One income-generating item Availability of services 36% 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 ★ MAKINDYE DIVISION

HHs reporting perceived livelihoods challenges: 97% LIVELIHOODS SOURCES SKILLS AND ASPIRATIONS

Out of the 90% of HHs who reported having a source 76% of HHs have men of working age and 81% of HHs have of income, the most commonly reported sources are:3 women of working age. Of those: 28+17+15 Remittances 28% Most commonly reported livelihoods skills gained in country Street trade 17% of origin:3 Sales 15%

Most commonly reported livelihood groups HH Carpenter 17% Domestic work in the home 34% 3 Casual labour 16% Sales 19%

members participate in: 9+6+4 Computer 14% Hairdressing 18% Business association 9% Village Savings and Loan Associations 6% Savings and Credit Cooperative Organizations 4% Most commonly reported livelihoods aspirations:3 Most commonly reported livelihoods challenges:3 74+46+41 Lack of work opportunities 74% Computer Sales Lack of credit to start/continue a business 46% 29% 31% 20% 18% Low wages 41% Electrician Street trade Sales 20% Tailoring 17%

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 8% member planning to move in the 6 data collection: months following data collection: 9% Of those: 8+92I Of those: 9+91I Most commonly reported reasons for moving:3 Most commonly reported reasons for planned movement:3 33+33+22 40+30+30 Presence of health services 33% Security 40% Presence of food distribution 33% Presence of shelter 30% Presence of employment opportunities 22% Joining other family members 30%

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