2.1 3.a; 2.1 3.c; 2.1 6 - Measuring and experiencing social inequality

Social inequality and indices

Social inequality exists when groups have unequal access to valued resources or opportunities, such as secure housing, healthcare, education and employment. Poverty concerns insufficient resources relative to a specified threshold; inequality concerns differences in distribution. A place can become richer overall while its inequalities increase.

Single indicators reveal particular dimensions. Housing evidence might measure overcrowding or affordability. Healthcare evidence might measure unmet need or travel time, while education can be represented by attainment or qualifications. Employment rates describe participation in paid work but omit pay and security. Service-access measures examine whether people can actually reach and use facilities, not simply whether facilities exist.

A composite index combines several indicators. Its result depends on variable choice, weighting and spatial unit. England's 2019 Index of Multiple Deprivation covers income, employment, education, health, crime, barriers to housing and services, and living environment. A rank orders areas; it does not show how many times more deprived one is. The official 2019 technical guidance also distinguishes area deprivation from individual circumstances.

Quantitative presentation must preserve denominators. A percentage expresses a count as a share of its relevant population; a percentage-point gap subtracts two percentages, while percentage change divides a change by its starting value.

Worked example — calculating a population share

Illustrative dataset: 72 of a district's 480 children live in families below a specified income threshold.

The denominator is all children, so the result describes children rather than the percentage of households below the threshold.

Worked example — comparing percentages

Illustrative dataset: a second district has 162 children below the same threshold among 600 children. Calculate its share, then compare it with the first district.

The second share is 12 percentage points, or 80%, higher than the first. A labelled bar chart suits a comparison between districts; a line graph suits a comparable time series. State the observation year and definition so that the visual comparison retains its meaning.

Worked explanation — dimensions of social inequality

Explain how social inequality can vary within the same place. Households differ in their access to income, housing, skills and services, so a successful local economy can coexist with hardship. Ladywood's January 2024 factsheet reports 51.4% of adults with level 4 qualifications or above in 2021, alongside a 34.6% child low-income share in 2021/22. The indicators describe different populations and dimensions. Qualified residents can access professional earnings, while households facing insecure work or housing costs have fewer resources for food, transport and learning. Proximity to jobs also has different effects: a resident with the appropriate qualification can use a nearby vacancy, while someone needing training or childcare faces additional barriers. Unequal resources consequently influence both present living conditions and future opportunities. The contrast is evidence of mixed conditions in one ward, and the mechanisms explain how those conditions can persist together.

Inequality within and between places

Spatial inequality arises because opportunities and constraints are distributed unevenly across locations. The relevant pattern changes when the scale or boundary changes.

Between places, employment specialisation, historical investment, transport links, housing markets and government provision influence access to opportunities. A well-connected district may attract skilled employment and investment, while a former industrial district may face obsolete premises and a mismatch between workers' skills and available jobs. These differences are produced through processes, not by the place name itself.

Within places, households sort into housing according to income, wealth, discrimination, availability and personal needs. High-demand locations can become inaccessible to low-income households. Social housing can provide security but may be concentrated where opportunities or services are weaker. New expensive apartments can stand beside established low-income communities without their residents sharing the same opportunities.

Ladywood demonstrates why scale matters. Its ward includes central economic activity and different residential neighbourhoods. A high economic-output figure for workplaces in the centre would not measure the disposable income of nearby residents. Some workers commute in and take their income home elsewhere; profits may leave the area too. Similarly, Sutton Four Oaks' residential character means local output alone would understate residents' access to employment outside the ward.

Aggregation can hide these differences. A ward average may improve because high-income households arrive, even if existing residents' circumstances do not improve. Boundaries can join unlike neighbourhoods or divide a connected community. Explain patterns at more than one scale and distinguish a compositional change, in who lives there, from an improvement in the circumstances of the same people.

Inequality in Ladywood and Sutton Four Oaks

Ladywood and Sutton Four Oaks are contrasting wards within Birmingham, so they share a local-authority context while differing in population, housing and opportunities. Compare like definitions and dates rather than assembling unrelated statistics into a single ranking.

The council's January 2024 factsheets report the following evidence. The child low-income measure relates to 2021/22, while qualification figures are from the 2021 Census. The deprivation ranks derive from the council's aggregation of 2019 deprivation evidence, with rank 1 the most deprived of Birmingham's 69 wards.

Sources: Ladywood factsheet, pp4–6 and Sutton Four Oaks factsheet, pp4–6.

The child low-income gap is 28.4 percentage points. Yet Ladywood has the higher share with advanced qualifications. The contrast demonstrates multidimensional inequality and mixed populations: high skills in one part of a ward do not remove hardship in another. The table establishes differences; it does not by itself identify their causes.