数据资源概况:残疾统计 - 估计数据库 (DS-E数据库). 一个创新的数据库,提供国际可比的关于残疾不平等的统计数据
Bradley Carpenter1,2, Sureshkumar Kamalakannan3,4,5, Kaviyarasan Patchaiappan3
1Gender and Health Research Unit, South African Medical Research Council, 491 Peter Mokaba Ridge Road, Overport, Durban, South Africa.
International journal of population data science
|March 25, 2025
概括
残疾人统计 - 估计 (DS-E) 数据库揭示了显著的不平等,显示残疾人面临更大的贫困和贫困. 这些数据支持全球范围内的包容性政策和计划的倡导.
科学领域:
- 社会科学 社会科学 社会科学
- 公共卫生 公共卫生
- 关于残疾人的研究.
背景情况:
- "残疾统计数据库"旨在提供有关残疾人的权利的国际可比数据.
- 具体而言,DS-E数据库提供来自人口和住房普查以及家庭调查的全国和地方描述性统计数据.
- 这些统计数据对于为旨在促进残疾人的权利和福祉的政策和计划提供信息至关重要.
研究的目的:
- 介绍2024年起的残疾统计 - 估计 (DS-E) 数据库的范围和发现.
- 突出残疾的普遍性及其与教育,健康和贫困等关键生活领域的联系.
- 强调DS-E数据库对政策制定和宣传的有用性.
主要方法:
- 利用来自40个国家的53个国家数据集 (23次人口普查,30次调查) 来生成29个指标的估计.
- 根据各种成人人口子组的残疾类型和严重程度的分类估计,包括按性别,居住地 (农村/城市) 和年龄组.
- 提供了所有国家的第一次次国家级和17个国家的第二次次国家级估计.
主要成果:
- DS-E数据库包含40个国家和6584个地方的超过430万个估计.
- 结果表明,在国家内部和跨国之间存在一致的不平等现象,这表明残疾人经历的贫困和多维贫困率更高.
- 数据可以通过交互式平台和可下载的表格访问,包括平均值和标准错误.
结论:
- DS-E数据库提供了有关残疾人所面临的差异的关键统计数据.
- 这些统计数据对于倡导包括残疾人的政策和做法是有价值的.
- 这些数据可以与其他数据集集集成,以确定残疾人服务不足的地区,以及最需要服务的地区.
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