This blog post is part of a series investigating different demographics and uses of mySociety services. You can read more about this series here.
Indices of deprivation are useful for mapping social phenomena onto geographic data. For a series of domains (in England: income, employment, health, education, skills and training, crime, barriers to housing and services, and living environment) all Lower Super Output Areas (LSOAs) are ranked from most deprived to least deprived. From these the Index of Multiple Deprivation is created — which helps to illustrate which areas of the country suffer from multiple different negative factors.
The indices of deprivation are compiled separately for England, Scotland, Wales and Northern Ireland. While they cannot be combined, they do often illustrate similar measures and so are useful for cross comparison. As most FixMyStreet reports are made in England, more subtle patterns in how deprivation and reports are linked can be detected from this larger set of data.
The Explorer minsite uses the Index of Multiple Deprivation (IMD) and respective domains to understand how reports for different categories of FixMyStreet report are distributed and explore how deprivation affects reporting. This page shows the categories that are more likely than the general dataset to be reported in the lowest IMD decile (most deprived) and this page shows the categories that are more likely to be reported in the highest IMD decile (least deprived).
As examined in previous research, the most important finding when examining deprivation is the suggestion that there are reports that should be being made that aren’t. The Explorer minisite shows that reports of dog fouling have a peak in the middle deciles, but this does not reflect the real world incidence of dog fouling, which found that the most dog fouling was found in the bottom two deciles.
Even when actual incidence of problems is higher in more deprived areas, the reporting rate can be lower — any picture based on self-reporting is likely to have a large set of missing data. In the case of dog fouling, this means information about hotspots is not communicated to enforcement. In other cases it might mean road defects unfixed, or fly-tipping uncollected.
While previous explorations of deprivation and FixMyStreet have used the index of multiple deprivation alone, the Explorer minisite lets you see how the distribution differs on each of the domains of deprivation. For instance, looking at reports of rubbish, we can see that while generally there are more in the bottom 50% of IMD deciles, there is a stronger relationship against the crime domain.
Rubbish vs Multiple Deprivation
Rubbish vs Crime IMD Domain
Examining the data for dog fouling shows that the peak in the mid-deciles is even clearer when mapped against income deprivation than for multiple deprivation. The income domain continues to show that compared to the general dataset there are fewer reports in the higher deciles than might be expected.
Abandoned vehicle reports have a scattered relationship with a few different factors, but the association with crime is much less noticeable than the association with lower housing costs. Problems with drainage generally are more reported in less deprived areas, but when focusing on access to service deprivation, they are concentrated in the most deprived areas.
Breaking down by the different domains that make up the index of multiple deprivation lets us better understand what factors are driving either problems or the reporting of problems. This in turn helps to frame questions to ask about what is driving these different uses of FixMyStreet.
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