49+I 1 7 1 16% 13% Average Average 9% 9% 22% 18% 17% 70% 90% 10% 5% 1 1% 51% household size: Male (3%)

2 51+ 0-4 60+ 1+16+9+13+95-11 Age 18-59 12-17 DRC (27%) 5% Burundi Somalia (2%) South Sudan (65%) May 2019

2% 2 3 4 1 Demographics 8%

2+20+8+13+9 9% Female Top countries of origin: Top 13% 67% 20%

22+18+17+70 3 Displacement demographics

Female-headed 90+10+5 REFUGEES IN UGANDA REFUGEES IN households (HHs): POPULATION PROFILE OF PROFILE POPULATION Property Housing ☪ Disabled members TOP 3 HLP CHALLENGES Female-headed HHs HHs reporting that some members are not registered as refugees: HHs WITH VULNERABLE MEMBERS HHs reporting member with persons with specific needs (PSN) card: Pregnant / lactating women Land accessed for housing 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 challenges. The level of confidence may thus be lower than 95%. challenges. 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 Semi-structured key partners working in relevant sectors. refugee with conducted and gender by stratified were FGDs and host community groups in each location. of refugee Findings in this factsheet are representative total of A households living in 3 divisions of . refugee households were interviewed in 114 Division. informant interviews (KIIs) and focus group discussions informant interviews The quantitative household-level survey produced (FGDs). results representative for the refugee population in 30 combined five to due 25 as (considered settlements refugee districts, as well as across 11 Adjumani) settlements in select (, Kampala Central, and Kawempe) with a 95% margin settlement of error at the level for all questions asked confidence level and 10% total of 3,165 households were A to the entire sample size. All questions referring to interviewed for this assessments. a subset are footnoted. the data and KIIs and FGDs were used to triangulate provide context to quantitative findings. KIIs targeted A mixed methods approach was used, driven by a used, driven by approach was methods mixed A semi-structured key household-level structured survey, 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 18% of respondents facing HLP

3 1 2

♏

and Housing, Land, and Property and Land, Housing, and Refugee Access to Livelihoods Livelihoods to Access Refugee district and Kawempe is approximately 8.5 kilometres. district and Kawempe is approximately south, Kazo to the southwest and Nansana District in to Wakiso the west. The road distance between Kampala's central business Kawempe is located on the northwestern edge of Kampala. It is bordered by Nabweru to the north, Kisaasi to the east, to the to Bwaise east, the to Kisaasi north, the to Nabweru by bordered is It Kampala. of edge northwestern the on located is Kawempe

BRIEF OVERVIEW OF BRIEF OVERVIEW OF KAWEMPE 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 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