Humanitarian Situation Monitoring Round 1, 2022 - Afghanistan

Abstract
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Humanitarian Situation Monitoring aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities, in order to then support geographical and sectoral prioritizations within the 2022 humanitarian response in Afghanistan, particularly in light of the rapidly evolving context in Afghanistan. The key-informant-based HSM methodology uses settlements as the unit of analysis, using a structured survey tool to interview key informants about the situation in their settlement. A sampling frame covering all 419 districts in Afghanistan was used, covering a minimum of 10% of total settlements in each district. To achieve geographical spread across each district, at least three key informant interviews (KIIs), in a number proportionate to the number of settlements, were conducted in each Basic Service Unit (BSU). To determine a BSU (defined as an economic/geographic service unit which relies on the same services, i.e. healthcare clinics and schools, and common public spaces, i.e. markets and roads), participatory mapping of settlements and services available was conducted prior to data collection. Any analysis conducted using the data in this file will generate statistically non-representative results, as the key informant methodology is indicative

Geographic coverage
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Afghanistan

Kind of data
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Sample survey data [ssd]

摘要
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人道主义局势监测旨在收集并验证关于阿富汗社区服务提供、行业需求和脆弱性的信息，进而支持在阿富汗2022年人道主义救援行动中的地理和行业优先级排序，特别是在阿富汗局势快速演变的背景下。基于关键信息提供者的HSM方法以定居点为分析单位，运用结构化调查工具对关键信息提供者进行访谈，了解其定居点的情况。采用涵盖阿富汗所有419个区的抽样框架，确保每个区至少覆盖总定居点的10%。为在每个区实现地理分布，每个基础服务单元（BSU）中至少进行了与定居点数量成比例的三次关键信息提供者访谈（KIIs）。在数据收集前，通过参与式制图确定了BSU（定义为依赖相同服务，即医疗诊所和学校，以及公共空间，即市场和道路的经济/地理服务单元）。使用本文件中的数据进行任何分析，将产生统计学上不具有代表性的结果，因为关键信息提供者方法是指示性的。
地理覆盖范围
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阿富汗
数据类型
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样本调查数据 [ssd]