This method provides statistics on relative deprivation in England, Wales, and Scotland, including:

• The Index of Multiple Deprivation (IMD) – a measure of overall deprivation
• Domain-specific indices (e.g., income, employment, education, health etc.) that differ by country
• Area rankings and deciles for simplified analysis

Area Types

The indices assess deprivation at a small-area level:

• England & Wales: Lower-layer Super Output Areas (LSOAs)
• Scotland: Data Zones

Ranking & Deciles

Each area is ranked from most to least deprived:

• England: 1 (most deprived) to 32,844 (least deprived)
• Wales: 1 (most deprived) to 1,909 (least deprived)
• Scotland: 1 (most deprived) to 6,976 (least deprived)

The ranks are available in the imdRank field, with domain-specific ranks in fields such as incomeRank, employmentRank, crimeRank, etc.

To simplify, areas are also categorized into deciles (1 = most deprived, 10 = least deprived), available in fields like imdDecile, incomeDecile, employmentDecile, etc.

Mapping & Consumer Platform Adjustments

We use deciles to color-code our deprivation map. However, on our consumer platform, we reversed the ratings scale to match user expectations where higher ratings are associated with higher deprivation.

For example, postcode W6 0LJ (imdDecile 2, a highly deprived area) is displayed as “_Index of Multiple Deprivation - 9/10 or high_” on the consumer platform.

Data Availability

• England & Wales: 2019
• Scotland: 2020

This dataset is published as Open DataScottish Index of Multiple Deprivation, Small Area Population Estimates, and Child Poverty The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.National Records of Scotland Small Area Population Estimates (2021)Child Poverty by Datazone (2022/23)

This app is published as Open Data, is the most recent, and replaces any previously published dataset.Scottish Index of Multiple Deprivation (2020), Small Area Population Estimates (2021), and Child Poverty (2022/23)The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.Child Poverty by Datazone (2022/23)This app uses the following published resources:mapdataset

This dataset is published as Open Data, is the most recent, and replaces any previously published dataset.The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.The dataset can be viewed by Ward, Intermediate Zone (IZ) and Scottish Parliamentary Constituency (SPC).Details of the methodology used to determine the income, employment, education, health, access (to services), crime and housing domains can be opened from this link. Depending on the browser used to access this dataset, view the document from the options appearing on the screen.The SIMD dataset has been sourced from: SpatialData.gov.scotThis dataset is also used in the associated SIMD and Child Poverty map and application.

These fuel poverty risk indicators provide users with a nuanced picture of the impact of various risk factors, exacerbating factors and indicators for fuel poverty. It was developed with the Assembly Health and Public Services Committee in their investigation into fuel poverty in London. The Committee's report explains how the tool could be used strategically to help organisations target specific wards that are at high risk of fuel poverty. Appendix 4 in the report set out the rationale for the risk factors present in the tool.

Users can adjust the weighting of the indicators to show their relative significance. Isolating specific indicators could help organisations determine what type of support is likely to have greatest impact in an area. For example, wards with a low score for cavity wall insulation would indicate wards that could be targeted for promoting uptake of cavity wall insulation.

Read Victoria Borwick's blog "Using public data to tackle fuel poverty - can you help?"

The fuel poverty scores measure risk of fuel poverty based on 12 indicators. The England and Wales average each year is 0. Scores below 0 are more likely to be at risk from fuel poverty according to these measures.

The indicators are:

Housing
Dwellings without central heating
Cavity walls that are uninsulated
Lofts with less than 150mm insulation

Health
Health Deprivation & Disability domain (ID2010)
Standardised Mortality Ratio
Incapacity Benefit claimant rate

Older people
People aged 60 and over
Older people claiming pension credit

Worklessness
Unemployment

Poverty
Income Support claimant rate
Child Poverty rates
Households classified 'fuel poor'

The Excel tool includes a ward map, charts and rankings.

Note: Users must enable macros when prompted upon opening the spreadsheet (or reset security to medium/low) for the map to function. The rest of the tool will function without macros.

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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.

In this analysis we have combined several data sources around the floods in Bangladesh in August 2017.

Visualization

• See attached map for a map visualization of this analysis.
• See http://bit.ly/2uFezkY for a more interactive visualization in Carto.

Situation

Currently, in Bangladesh many water level measuring stations measure water levels that are above danger levels. This sets in triggers in motion for the partnership of the 510 Data Intitiative and the Red Cross Climate Centre to get into action.

Indicators and sources

In the attached map, we combined several sources:

• Locations of waterlevel stations and their respective excess water levels (cms above danger level) at 14/08/2017 (Source: http://www.ffwc.gov.bd/index.php/googlemap?id=20)
• Population density in Bangladesh to quickly see where many people live in comaprison to these higher water-level stations. (Source: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00018 >> the People per hectare 2015 UN-adjusted totals file is used.)
• Vulnerability Index: we constructed a Vulnerability Index (0-10) based on two sources. First poverty incidence was collected from Worldpop (Source: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00020 >> The estimated likelihood of living below $2.50/day). Second, we used a Deprivation Index which is estimated in the report Lagging District Reports 2015 (Source: http://www.plancomm.gov.bd/wp-content/uploads/2015/02/15_Lagging-Regions-Study.pdf > Appendices > Table 20), which combines many socio-economic variables into one Deprivation Index through PCA analysis.

Detailed methodology Vulnerability

• The above-mentioned poverty source file is on a raster level. This raster level poverty was transformed to admin-4 level geographic areas (source: https://data.humdata.org/dataset/bangladesh-admin-level-4-boundaries), by taking a population-weighted average. (Source population also Worldpop).
• The district-level PCA components from abovementioned reports were matched to the geodata based on district names, and thus joined to the admin-4 level areas, which now contain a poverty value as well as Deprivation Index value. Note that all admin-4 areas within one district (admin-2) obviously all have the same value. The poverty rates do differ between all admin-4 areas.
• Lastly, both variables were transformed to a 0-10 score (linearly), and a geomean was taken to calculate the final index of the two. A geomean (as opposed to an arithmetic mean) is often used in calculating composite risk indices, for example in the widely used INFORM-framework (www.inform-index.org).

Transport for London's (TFL) Public Transport Accessibility Levels (PTALs)

PTALS are a detailed and accurate measure of the accessibility of a point to the public transport network, taking into account walk access time and service availability. The method is essentially a way of measuring the density of the public transport network at any location within Greater London.

Each ares is graded between 0 and 6b, where a score of 0 is very poor access to public transport, and 6b is excellent access to public transport.

The current methodology was developed in 1992, by the London Borough of Hammersmith and Fulham. The model has been thoroughly reviewed and tested, and has been agreed by the London Borough-led PTAL development group as the most appropriate for use across London.

The measure therefore reflects:

• • Walking time from the point-of interest to the public transport access points;
• • The reliability of the service modes available;
• • The number of services available within the catchment; and
• • The level of service at the public transport access points - i.e. average waiting time.

It does not consider:

• • The speed or utility of accessible services;
• • Crowding, including the ability to board services; or,
• • Ease of interchange.

The PTAL methodology was developed for London where a dense integrated public transport network means that nearly all destinations can be reached within a reasonable amount of time. Research using the ATOS (Access to Opportunities and Services) methodology shows that there is a strong correlation between PTALs and the time taken to reach key services – i.e. high PTAL areas generally have good access to services and low PTAL areas have poor access to services.

Notes

6-digit references identify 100m grid squares.

The 2012 CSV file previously available on the Datastore is now only available via the TfL feeds page.

The 2014 files are available to download below. This includes the GIS contour files.

Current PTAL values can be viewed at TfL’s web site: www.webptals.org.uk

The GLA has calculated the percentage of population for each ward, LSOA, MSOA and borough within each PTAL. The files for 2014 are available below. The method used mapped the number of addresses (using Ordinance Survey AddressBase Plus, and 2011 Census London Output Areas boundaries).

TFL also publish on their website a tool that shows travel time and PTAL maps from any point within London. Click anywhere on the map or input a postcode to change the selected location.