Disaster Poverty Household Survey 2018, Cap-Haïtien - Haiti

Abstract
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The DPHS in Cap-Haïtien was conducted in October and November 2018 in the metropolitan area of the city. The focus of the data collection was to capture information on exposure to flooding in Cap-Haïtien as well as household preparedness including access to early warning systems and the use of coping strategies.

The Poverty and Equity Global Practice designed, conducted, and managed the project in coordination with Global Practice of Urban, Resilience, and Land (GPURL). The Global Facility for Disaster Reduction and Recovery (GFDRR) financed the project. The Interuniversity Institute for Research and Development (INURED) carried out the data collection under World Bank supervision. The municipality of Cap-Haïtien also supported data collection.

Geographic coverage
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Cap-Haïtien, Haiti.

Analysis unit
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- Household
- Individual

Kind of data
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Sample survey data [ssd]

Sampling procedure
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A stratified two-stage sampling strategy was applied to ensure the representativeness of the survey results. The sampling frame was constructed using the consumption aggregates from the 2012 Enquête sur les Conditions de Vie des Ménages après le Séisme (ECVMAS) collected by the Institut Haïtien de Statistique et d'Informatique (IHSI). The first stage identifies all applicable Primary Sampling Units (PSUs); and the second stage selects households within selected PSUs.

PSUs are categorized based on two spatial criteria: location the project area and location in areas with high flood risk. The project area in Cap-Haïtien refers to the areas benefiting from the Municipal Development and Urban Resilience project (MDUR, P155201). The high-risk areas are identified based on hazard maps and refer to areas with ‘moderate to high/strong’ and ‘strong to very strong’ risks of floods (Guillande, 2015). Based on these two criteria, four strata are constructed: project areas with high/moderate risk of floods; project areas with low/no risk of floods; non-project areas with high/moderate risk of floods; and non-project Areas with low/no risk of floods.

To calculate the probability of selection of households, WorldPop data is used to assign number of households per PSU. In the second stage, a listing of all households within a given PSU is conducted to determine the probability of household selection. By design, 120 PSUs were surveyed and 5 households per PSU were selected.

Weights are applied to ensure that the estimates obtained from the survey data are representative of the population of interest.

Mode of data collection
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Computer Assisted Personal Interview [capi]

Research instrument
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The questionnaire contains twenty modules with questions at the household and individual level. The questionnaire is only available in French (although the data is translated and labeled in English).

At the household level, questions include housing characteristics, tenure status, and asset ownership. At the individual level, there are questions on education, employment, and unemployment. Additionally, questions on the ownership, use, and coverage of mobile phones are asked to the household head.

Questions on flooding impact, recovery and coping are asked at the household level. They include questions about the experience with frequent floods and perception of risk to future flooding. Impacts of flooding on housing, assets, consumption, access to public services and transport, work, education, and health are asked. Finally, questions on cooping strategy and awareness of emergency warning systems are also included.

Cleaning operations
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The following data editing was done for anonymization purpose:
- Precise location data, such as GPS coordinates, were dropped.
- Identifying information, such as name and phone numbers were dropped.
- Categories for type of dwelling were reduced from 7 to 4.

See the Technical Note for more details.

摘要
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在2018年10月至11月期间，在Cap-Haïtien的大都市区进行了DPHS调查。数据收集的重点在于捕捉Cap-Haïtien地区洪水暴露情况的信息，以及家庭应对措施，包括对早期预警系统的获取和应对策略的应用。

贫困与平等全球实践部门负责设计、实施和管理该项目，并与城市、韧性和土地全球实践部门（GPURL）协同进行。全球灾害减少与恢复设施（GFDRR）为项目提供资金。在世行监督下，跨大学研究院（INURED）负责数据收集工作。Cap-Haïtien市政府也支持了数据收集工作。

地理覆盖范围
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海地Cap-Haïtien。

分析单元
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- 家庭
- 个人

数据类型
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样本调查数据 [ssd]

抽样程序
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采用了分层两阶段抽样策略，以确保调查结果的代表性。抽样框架是根据2012年地震后家庭生活状况调查（ECVMAS）的消费汇总数据构建的，这些数据由海地统计与信息研究所（IHSI）收集。第一阶段确定了所有适用的初级抽样单位（PSU）；第二阶段在选定的PSU内选择了家庭。PSU根据两个空间标准进行分类：项目区域位置和洪水高风险区域位置。Cap-Haïtien的项目区域是指受益于市政发展和城市韧性项目（MDUR，P155201）的地区。高风险区域基于灾害图确定，指的是有‘中等至高/强烈’和‘强烈至非常强烈’洪水风险的地区（Guillande，2015）。根据这两个标准，构建了四个层次：洪水高风险/中风险的MDUR项目区域；洪水低风险/无风险的MDUR项目区域；洪水高风险/中风险的非项目区域；以及洪水低风险/无风险的非项目区域。为了计算家庭选择的概率，使用WorldPop数据为每个PSU分配家庭数量。在第二阶段，对给定PSU内的所有家庭进行列举，以确定家庭选择的概率。按照设计，调查了120个PSU，每个PSU选择了5个家庭。

为确保从调查数据中获得的数据估计能够代表目标人群，应用了权重。

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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问卷包含二十个模块，包含家庭和个人层面的提问。问卷仅提供法语版本（尽管数据已翻译并标注为英语）。

在家庭层面，问题包括住房特征、租赁状况和资产所有权。在个人层面，有关于教育、就业和失业的问题。此外，还向家庭户主询问关于手机所有权、使用和覆盖范围的问题。

在家庭层面，还询问了洪水影响、恢复和应对策略的问题。这些问题包括频繁洪水经历和未来洪水风险的感知。询问洪水对住房、资产、消费、公共服务和交通、工作、教育和健康的影响。最后，还包括关于应对策略和紧急预警系统认知的问题。

数据清理操作
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为了匿名化目的，进行了以下数据编辑：
- 删除了精确位置数据，如GPS坐标。
- 删除了识别信息，如姓名和电话号码。
- 将住宅类型类别从7个减少到4个。

请参阅技术说明以获取更多详细信息。