five

Deprivation (IMD, IDACI, IDAOPI) - Birmingham Wards

收藏
opendatasoft2024-09-20 更新2024-12-14 收录
下载链接:
https://data.opendatasoft.com/explore/dataset/deprivation-imd-idaci-idaopi-birmingham-wards@cityobservatorybirmingham/table/
下载链接
链接失效反馈
官方服务:
资源简介:
Data showing deprivation levels across different Birmingham Wards, using three key indices: the Index of Multiple Deprivation (IMD), the Income Deprivation Affecting Children Index (IDACI), and the Income Deprivation Affecting Older People Index (IDAOPI). These indices are integral components in understanding socio-economic conditions, enabling insights into how deprivation affects various age groups and areas.Index of Multiple Deprivation (IMD): IMD is a composite measure that ranks areas based on seven domains of deprivation: income, employment, education, health, crime, housing, and living environment. It offers a broad overview of deprivation at a small-area level. This is shown as a rank from 1-69 with 1 being the most deprived.IMD 2019 Decile: Where 1 is 10% Most Deprived Nationally. This is an indication of the wards financial resilience.Income Deprivation Affecting Children Index (IDACI): IDACI focuses specifically on income deprivation among children. It measures the proportion of children aged 0-15 living in income-deprived households, reflecting the impact of poverty on young people.Income Deprivation Affecting Older People Index (IDAOPI): IDAOPI targets income deprivation among the elderly. It calculates the proportion of people aged 60 and over living in income-deprived households, providing insight into how economic disadvantage affects older populations.Data is update irregularly with the next release scheduled for late 2025.Mapping tipsWhen using the build a map page you should use the Color by category map type when visualising the IMD score.A good resource for custom colours for each decile is ColorBrewer.
提供机构:
Ministry of Housing, Communities, and Local Government
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作