Doubly-disadvantaged neighbourhoods

Definining areas that face a combination of high economic deprivation and weak community resources and networks.

What is a doubly-disadvantaged neighbourhood?

A doubly disadvantaged neighbourhood, formally known as a “left-behind” neighbourhood, is identified using two key measures: the Index of Multiple Deprivation (IMD) and the Community Needs Index (CNI).

  • The Index of Multiple Deprivation (IMD), which captures levels of economic disadvantage, such as low income, unemployment, poor health and limited access to services.
  • The Community Needs Index (CNI), which measures the strength of local social infrastructure and social capital, for example access to community spaces, levels of civic engagement and social connectivity.

Neighbourhoods are considered doubly disadvantaged when they rank poorly on both of these measures.

Specifically, we define them as places that fall within the bottom 10% nationally on both the IMD and the CNI.

In other words, these are areas that face a combination of high economic deprivation and weak community resources and networks.

Evidence that supports action

Our research and analysis helps organisations understand need, make evidence-based decisions and target support effectively.

Left behind? Understanding communities on the edge

The original research into “left-behind” neighbourhoods looked at the geographic distribution of the places as well as the shared characteristics and how they fare in comparison to other deprived neighbourhoods.

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APPG for “left-behind” neighbourhoods

The research into “left-behind” neighbourhoods played a pivotal role in establishing the All Party Parliamentary Group (APPG) for “left-behind” neighbourhoods. We provided research and analysis to the APPG covering various themes and how they impact upon residents living in left behind neighbourhoods. Below is a summary of the research to date.

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Pride in Place Programme

This hyper-local programme will deliver £20 million of funding into more than 200 doubly disadvantaged neighbourhoods across England, Scotland and Wales. The Pride in Place Programme uses a combination of the Index of Multiple Deprivation and Community Needs Index to identify the neighbourhoods eligible for funding.

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Our services

Research, data and analysis support

Precision tools and reporting for modern community analysis.

Local Insight

Local Insight is a fast and flexible way to explore doubly-disadvantaged neighbourhoods. More than 1,600 indicators are readily available to analyse for any area boundary – including doubly disadvantaged neighbourhoods. 

Through powerful reporting and comparison tools, you can see how doubly-disadvantaged neighbourhoods fare compared to other local and national benchmarks.

Pride in Place Analysis

Pride in Place Analysis helps organisations understand the local needs and challenges that Pride in Place investment is designed to address.

Drawing on our expertise in the Index of Multiple Deprivation (IMD), the Community Needs Index (CNI) and a wide range of supporting socio-economic indicators, we analyse how different dimensions of need are distributed across neighbourhoods. This provides a detailed picture of the issues where targeted investment could have the greatest impact.

OCSI On Demand Reports

OCSI On Demand Reports provide instant community insight for any type of area (view a sample report here). 

You can gain insight into social, economic and demographic themes to support your understanding of doubly-disadvantaged neighbourhoods and the challenges they are facing. 

Designed for organisations that need robust insight without a full consultancy project, these reports are widely used to support funding bids, strategy development, community engagement and background research.

Case Studies

Pride in Place Analysis for Rowner Community Trust

Turning data into insight to target Pride in Place investment where it...

Community needs analysis support for Essex County Council

Advisory support to build a robust understanding of Community Resilience in Essex.