Resilience Index Measurement and Analysis 2019 - Uganda

Abstract
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In order to make the progressive Uganda refugees policy successful in the medium- and long-term, the refugees’ response needs to facilitate their inclusion in the country’s development agenda. No longer focusing exclusively on short-term, life-saving interventions, the response should act as a vector for refugees’ integration in the economy; improving management of land, water and natural resources; exploiting the socio-economic opportunities associated with the refugees’ presence, skills and development; and strengthening the hosting districts’ capacity to absorb and manage these resources. The positive impact would affect refugees, host communities and hosting districts alike, thus moving towards social and economic integration. In August 2017, FAO was asked by the Commissioner for Refugees (Office of the Prime Minister of Uganda, OPM) to support the implementation of a socio-economic analysis within the refugees’ settlements and host communities, with the aim of providing a comprehensive assessment of the current state of the refugees’ food security, well-being and resilience. Although refugees in Uganda are given land and mobility rights, their food security remains low, with a high dependency on food aid. The assumption was that by better understanding refugees’ preferences and livelihoods strategies which determine their resilience, it would be possible to unlock the development potential of the land, increase productivity and help them achieve independence and self-reliance. The Uganda 2019 Resilience Index Measurement and Analysis (RIMA) measures the food security and resilience of refugees and host communities in Northern Uganda. The survey was administered between November and December, 2019.

Geographic coverage
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Regional coverage

Analysis unit
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Households

Universe
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Refugees and host community households (Households living near settlements).

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The sampling strategy of the second wave was to re-interview all the refugee and host households already interviewed in the first wave (between 2017 and 2019), plus new households in the Koboko district visited for the first time. The targeted sample was 6,236 households plus 300 new households in Koboko. The total number of received questionnaires is 4,027. The final panel sample is composed of 3,824 households plus 203 households interviewed in Koboko. With a target of 6,236 households, we have an attrition of 39 percent.

Mode of data collection
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Computer Assisted Personal Interview [capi]

Research instrument
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Section A: Household details Section B: Household Demographics Section C: Household Assets Assessment Section D: Household access to services Section E: Household expenditure and loans Section F(1): Household Crop production details Section F(2): Household vegetable production details Section F(3): Tree-based production for the last year (January 2019 – December 2019) Section N: Livestock and fishing Section G(1): Food consumption patterns Section G(2): Coping Strategies Section H: Participation in Social Networks, Training and Enterprises Section H6. Household enterprise Section W: Household Member Employment Section X: Assistance and transfers Section S: Social cohesion Section J: Shocks and hazards Section I: Adoption of new technologies, improved farming practices & climate adaptation practices Section K: Weather and climate change Section L: Climate change

Cleaning operations
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The data were collected through computer-assisted personal interviewing (CAPI) with digital tablets. The use of electronic devices reduces the duration of interviews, limits errors during the interview and data entry phases, and enables the collection of geographic information system (GIS) information at the household level. The data were transmitted daily through Kobo Toolbox, a suite of software tools for data collection in challenging environments, allowing for the use of remote data control protocols.

摘要
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为确保乌干达渐进式难民政策的长期成功，难民对国家发展议程的响应需要促进其融入。政策不再仅限于短期、救命干预，而应作为难民融入经济的推动力；改善土地、水资源和自然资源的经营管理；利用难民在场、技能和发展所带来的社会经济机会；并增强接待地区吸收和管理这些资源的能力。这种积极影响将惠及难民、接待社区和接待地区，从而推动社会和经济融合。2017年8月，乌干达难民专员（乌干达总理办公室，OPM）请求联合国粮食及农业组织（FAO）支持在难民安置点和接待社区内实施社会经济分析，旨在对难民当前的食物安全、福祉和韧性进行全面评估。尽管乌干达的难民被赋予了土地和流动性权利，但其食物安全水平仍然较低，高度依赖食物援助。假设通过更好地理解难民偏好和生计策略，这些策略决定了其韧性，就有可能释放土地的发展潜力，提高生产力，并帮助他们实现独立和自力更生。2019年乌干达韧性指数测量与分析（RIMA）衡量了乌干达北部难民和接待社区的食物安全和韧性。调查于2019年11月至12月进行。
地理覆盖范围
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区域覆盖
分析单元
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家庭
总体
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难民和接待社区家庭（居住在安置点附近的家庭）。
数据类型
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样本调查数据 [ssd]
抽样程序
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第二波的抽样策略是对第一波（2017年至2019年）已访谈的所有难民和接待家庭进行再访谈，以及首次访问的科博科地区的新家庭。目标样本为6,236个家庭，加上科博科地区的300个新家庭。收到的问卷总数为4,027份。最终的面板样本由3,824个家庭和203个在科博科地区访谈的家庭组成。在6,236个家庭的目标样本中，我们有39%的流失率。
数据收集方式
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计算机辅助个人访谈 [capi]
研究工具
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A部分：家庭详情
B部分：家庭人口统计
C部分：家庭资产评估
D部分：家庭服务获取
E部分：家庭支出和贷款
F(1)部分：家庭作物生产详情
F(2)部分：家庭蔬菜生产详情
F(3)部分：基于树木的上一年的生产（2019年1月至2019年12月）
N部分：牲畜和捕鱼
G(1)部分：食物消费模式
G(2)部分：应对策略
H部分：参与社会网络、培训和企业的活动
H6部分：家庭企业
W部分：家庭成员就业
X部分：援助和转移
S部分：社会凝聚力
J部分：冲击和危害
I部分：新技术采用、改进的耕作实践和气候适应实践
K部分：天气和气候变化
L部分：气候变化
数据清洗操作
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数据通过计算机辅助个人访谈（CAPI）和数字平板电脑收集。电子设备的使用减少了访谈时间，限制了访谈和数据录入阶段的错误，并能够收集家庭层面的地理信息系统（GIS）信息。数据通过Kobo Toolbox每日传输，这是一个适用于困难环境数据收集的软件工具套件，允许使用远程数据控制协议。