Rapid Gender Assessment Surveys, 2021 - Solomon Islands

Abstract
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Shortly after the onset of the COVID-19 pandemic, evidence showed the consequences of the crisis spanned well beyond its direct health effects. Across Asia and the Pacific, COVID-19 impacted outcomes ranging from access to health care, to employment and income, and women were often at a disadvantage. Two years on, the pandemic continues affecting women and men, and its lingering effects remain gendered. Ample evidence is now available on the effects on women-dominated sectors, such as tourism, and types of work, such as informal jobs, as well as on women's unpaid care work responsibilities. Women are also encountering more barriers to access stimulus packages to stay out of poverty.

In response to these concerns and to design effective responses to the crisis, the demand for gender data has increased. In the past few months, UN Women Regional Office for Asia and the Pacific and the Asian Development Bank rolled out Rapid Gender Assessment Surveys in consultation with national governments.

These surveys also include the eight FIES questions to understand the food security situation in the countries where the surveys have been run. However, it is important to note that these surveys are not identical to the FIES surveys, which are conducted by FAO.

Geographic coverage
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National Coverage

Analysis unit
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Individuals

Universe
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The target population are individuals 18 years and above, with access to a mobile phone.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The RGAs were rolled out in Solomon Islands (n=2,315), following a Random Digit Dialling (RDD) method, using numbering plans from national telecommunications agencies, which excluded commercial numbers and business registers. Prior to data collection, the sample was pulsed (a signal was sent to the randomly generated number to verify if it exists). No landlines were considered for this exercise. Information on socio-demographic characteristics of the respondents was unknown prior to dialling, and thus screening questions were used to achieve sex, age, region and education quotas. The quotas were calculated utilizing national household survey and population census data. Mobile phone coverage was above 70 per cent in most countries considered, with differences based on sex, age, educational attainment, and location.

Mode of data collection
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Computer Assisted Telephone Interview [cati]

摘要
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COVID-19疫情爆发之初，便有证据表明，该危机的影响远远超出了其直接的健康效应。在亚洲及太平洋地区，COVID-19对从医疗保健获取、就业和收入等各方面的影响显著，而女性往往处于不利地位。两年之后，疫情仍在影响着男性和女性，其持续的影响仍然呈现出性别差异。目前，关于女性主导的行业（如旅游业）、工作类型（如非正式工作）以及女性无偿照料责任等方面的效应已有充分的证据。女性在获得刺激计划以避免贫困方面也面临着更多的障碍。
为应对这些关切并设计有效的应对策略，对性别数据的需求数量有所增加。在过去几个月中，联合国妇女亚洲及太平洋区域办公室和亚洲开发银行在各国政府的协商下，推出了快速性别评估调查。
这些调查还包括八个FIES问题，以了解已进行调查的国家中的粮食安全状况。然而，值得注意的是，这些调查与由粮农组织（FAO）开展的FIES调查并不相同。
地理覆盖范围
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国家覆盖范围
分析单元
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个人
总体
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目标群体为18岁及以上的个人，且拥有手机。
数据类型
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样本调查数据 [ssd]
抽样程序
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在所罗门群岛（n=2,315）进行了快速性别评估（RGAs），采用了随机数字拨号（RDD）方法，利用国家电信机构的编号计划，排除了商业号码和企业登记信息。在数据收集之前，样本进行了脉冲测试（向随机生成的号码发送信号以验证其存在性）。本次调查未考虑固定电话。在拨打电话之前，对受访者的社会经济特征信息未知，因此使用了筛选问题以达到性别、年龄、地区和教育配额。配额的计算基于国家家庭调查和人口普查数据。在大多数考虑的国家中，手机覆盖率超过70%，差异取决于性别、年龄、教育水平和地理位置。
数据收集方式
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计算机辅助电话访谈 [cati]