E63011891 /South East evidence profile
South East evidence profile
Didcot digital planning profile
Didcot is a medium, non-coastal built-up area in South East. ONS records show a 2021 population of 34,600; the population expanded quickly between 2001 and 2021, while the 2015 to 2024 employment series shows a flat employment count. This profile turns those public observations into a reviewable website-planning brief without claiming that the figures measure searches, leads or Mosalio's physical presence.
01 / Data snapshot
What the reviewed source records
- BUA24 code
- E63011891
- ITL1 region
- South East
- Coastal
- Non-coastal
- Income-deprivation flag
- Lower deprivation
02 / Context
Three comparisons, with the benchmark stated
34.2% above the 11.2% median across complete England records in this ONS file.
in line with the 0% dataset median.
14.7% below the 224.1% dataset median.
These medians use every complete England record accepted from the same ONS file. They are descriptive context, not targets, forecasts or a national demand model.
03 / Distinctive pattern
Where this record sits within 936 complete England profiles
Lowest decile · percentile position 0.5 of 100.
Lowest decile · percentile position 2.3 of 100.
Highest decile · percentile position 96.2 of 100.
These are the three values furthest from the middle percentile position for this record. A higher position means a higher published value, not a better outcome or evidence of search demand.
Evidence fingerprint: sha256:4bc51a8daa4…561ed92461c0
04 / Constrained peers
Three named comparisons from the same reviewed source
Each peer is selected from all 936complete England records using the documented eight-metric distance. Deltas are Didcot minus the named peer; a plus sign means the value recorded for Didcot is higher.
Regional peer
Aylesbury · E63011452
South East. Nearest complete record in South East. ONS classification: Nearer - Medium deprivation - Working.
- 2021 population
- -52,810 people
- Population change, 2001 to 2021
- +11.7 pp
- Economic inactivity
- -5.9 pp
- Employment change, 2015 to 2024
- -5.3 pp
- 2023 median house price
- +£30,000
- House-price growth, 2001 to 2023
- -2.5 pp
- Population aged under 25
- -1.9 pp
- Population aged 65 or over
- -1.1 pp
Classification peer
Brough and Elloughton · E63007982
Yorkshire and The Humber. Nearest complete record outside South East with the same ONS combined classification. ONS classification: Nearer - Lower deprivation - Residential.
- 2021 population
- +22,844 people
- Population change, 2001 to 2021
- -3.3 pp
- Economic inactivity
- -6.5 pp
- Employment change, 2015 to 2024
- 0 pp
- 2023 median house price
- +£107,500
- House-price growth, 2001 to 2023
- -19.3 pp
- Population aged under 25
- +0.7 pp
- Population aged 65 or over
- -5.2 pp
National peer
Andover · E63012816
South East. Nearest remaining complete England record. ONS classification: Nearer - Medium deprivation - Working.
- 2021 population
- -13,884 people
- Population change, 2001 to 2021
- +10.4 pp
- Economic inactivity
- -6.3 pp
- Employment change, 2015 to 2024
- +4 pp
- 2023 median house price
- +£57,500
- House-price growth, 2001 to 2023
- +48 pp
- Population aged under 25
- +0.8 pp
- Population aged 65 or over
- -4.3 pp
05 / Evidence synthesis
Didcot evidence synthesis: Economic inactivity, Population aged 65 or over, Population change, 2001 to 2021
Didcot is recorded as a medium, non-coastal, residential built-up area, nearer to a major town or city. This classification sets a transparent frame for the three observations below; it is not a persona, a service-area promise or proof of local search demand. Each finding pairs one distinctive percentile measure with one independently selected peer and one explicit validation route.
Eight-metric evidence matrix
The matrix shows every measure used by the peer-distance method, not only the three most distinctive values. Direction describes the published value relative to the middle percentile position; it is not a positive or negative judgement.
Highest-to-lowest percentile order: Population change, 2001 to 2021 → Population aged under 25 → 2023 median house price → 2021 population → Employment change, 2015 to 2024 → House-price growth, 2001 to 2023 → Population aged 65 or over → Economic inactivity.
Furthest-to-nearest distance from the middle percentile: Economic inactivity → Population aged 65 or over → Population change, 2001 to 2021 → Population aged under 25 → 2023 median house price → 2021 population → House-price growth, 2001 to 2023 → Employment change, 2015 to 2024.
Regional peer
Economic inactivity: 24.7% · Aylesbury delta -5.9 pp
Among the eight reviewed measures, economic inactivity stands out for Didcot at 24.7%; its percentile position is 0.5 and its band is lowest decile. Aylesbury, the named regional peer from South East, differs by -5.9 pp when the calculation is Didcot minus peer. Nearest complete record in South East. This evidence can narrow a discovery question around assisted, accessible and non-digital completion routes, while accessibility testing across real tasks and support-channel evidence supplies the user-level check the aggregate data cannot provide. The boundary is important: an aggregate inactivity rate cannot describe an individual visitor.
Classification peer
Population aged 65 or over: 11.4% · Brough and Elloughton delta -5.2 pp
The reviewed record positions Didcot at percentile 2.3 for population aged 65 or over; its published value is 11.4% and its band is lowest decile. Against Brough and Elloughton's reviewed classification record, the displayed delta is -5.2 pp. That comparator comes from the documented rule: nearest complete record outside south east with the same ons combined classification. This evidence can narrow a discovery question around readability, keyboard access and assisted alternatives, while inclusive usability sessions and accessibility conformance checks supplies the user-level check the aggregate data cannot provide. It must not be over-read, because an age-group share does not determine digital ability.
National peer
Population change, 2001 to 2021: 45.4% · Andover delta +10.4 pp
For population change, 2001 to 2021, the source reports 45.4% for Didcot. That sits in the highest decile, 46.2 percentile points from the middle position. For a bounded comparison rather than a national average, Andover supplies the national reference; Didcot is +10.4 pp from it on the displayed scale. Its practical use is to frame—not answer—a question about update cadence, ownership and change-ready content models; the next evidence should come from dated user research and a documented content-review cycle. Keep the inference narrow: historic population change is neither a forecast nor a lead estimate.
This synthesis gives Didcot a bounded evidence trail: three furthest-from-middle measures, three named peers and the medium, non-coastal, residential built-up area, nearer to a major town or city classification. The combination is useful for deciding what to investigate, not for predicting enquiries. A website brief should preserve the source dates, validation method and reasons for accepting or rejecting each hypothesis.
06 / Evidence interpretation
Planning signals before design decisions
Population context: 34,600 people in 2021
Didcot's recorded population changed from 23,801 in 2001 to 34,600 in 2021 (+45.4%). This historical direction can inform content governance and capacity planning, but it is not a forecast and does not establish demand for a particular service.
Audience context: 11.4% aged 65 or over
The 2021 age-group series records 7,223 people aged 0 to 15, 3,040 aged 16 to 24, 20,395 aged 25 to 64 and 3,927 aged 65 or over. Small differences from the headline population reflect the published source series; percentages here use the age-group total and should guide testing questions, not stereotypes.
Activity context: 24.7% economically inactive
ONS records economic inactivity at 24.7%. The published composition includes 13.7% retired, 2.5% long-term sick or disabled, 2.8% students and 3.6% looking after home or family. These categories support inclusive task design; they do not identify individual users or purchasing intent.
Economic context: £345,000 median house price in 2023
The median house-price series moved from £111,500 in 2001 to £325,000 in 2021 and £345,000 in 2023, a published change of +209.4%. It is contextual evidence only—not a current affordability, revenue or customer-value estimate.
07 / Independent question set
Questions this evidence cannot answer on its own
These questions convert the profile-specific observations into falsifiable discovery work. They are not recommendations to create a service, location or page, and each needs direct user or behavioural evidence before it changes a website brief.
- 01
How should a prototype test assisted, accessible and non-digital completion routes without assuming that Didcot's percentile 0.5 position predicts an individual user's needs?
Evidence basis: 24.7%, lowest decile, with Didcot minus the regional peer equal to -5.9 pp. Validation route: accessibility testing across real tasks and support-channel evidence.
- 02
If the classification peer delta of -5.2 pp is included in a brief, what decision about readability, keyboard access and assisted alternatives could it inform and what result would falsify that hypothesis?
Brough and Elloughton is the constrained classification reference and is classified as Nearer - Lower deprivation - Residential; the question keeps an age-group share does not determine digital ability as an explicit limit.
- 03
Before prioritising update cadence, ownership and change-ready content models, which part of dated user research and a documented content-review cycle would verify whether this population change, 2001 to 2021 observation matters to users in Didcot?
Andover is the constrained national reference and is classified as Nearer - Medium deprivation - Working; the question keeps historic population change is neither a forecast nor a lead estimate as an explicit limit.
- 04
For Didcot's medium, non-coastal, residential built-up area, nearer to a major town or city classification, how should economic inactivity, population aged 65 or over, population change, 2001 to 2021 be tested as separate website hypotheses without turning the combined pattern into a claim about local demand?
Cross-check all three named comparisons—Aylesbury, Brough and Elloughton, Andover—and define a user-research or behavioural measure for each question before changing navigation, page scope or conversion paths. The observations share one source but do not demonstrate causation.
08 / Practical brief
Website-planning recommendations for this evidence pattern
- 01
Make service boundaries explicit
Didcot is classified as residential. Explain delivery areas, remote or on-site conditions, response times and exclusions in visible copy. This reduces ambiguity for residents without inventing a local office or multiplying near-identical neighbourhood pages.
- 02
Differentiate from the nearby major centre
Didcot is nearer to a major town or city. Use specific offer boundaries, proof and response expectations to explain why the organisation is relevant; do not rely on a place-name heading or create a doorway that simply redirects users to a national service page.
- 03
Build a broad, task-led accessibility baseline
59% of the recorded 2021 age-group total is aged 25 to 64, with meaningful younger and older groups also present. Organise content by task, test keyboard and mobile use, and avoid designing around one assumed demographic persona.
- 04
Prepare the content model for change
Didcot recorded +45.4% population change from 2001 to 2021 and 0% employment change from 2015 to 2024. Use owned templates, update dates, accountable content roles and measurable conversion events so the site can evolve without publishing unreviewed route permutations.
09 / Method and limits
What this profile can—and cannot—support
This is a Mosalio editorial interpretation of the ONS May 2026 dataset for BUA24 code E63011891. The source periods differ by metric; values are historical, not live. The profile deliberately excludes ONS experimental visitor-to-resident fields and makes no claim about search volume, rankings, customers, a Mosalio office or physical delivery in Didcot.
Mosalio does not claim an office, staff member, customer, or physical-delivery presence in Didcot.
Source: Office for National Statistics, Understanding towns in England and Wales, investigating socioeconomic trends, released . This Mosalio interpretation was first published on and last reviewed on .
Contains public sector information licensed under the Open Government Licence v3.0.
How this page was made: Mosalio applies one documented, deterministic transform to the validated ONS record, calculates the displayed comparisons, and renders the result from source-controlled data. It is an automated public-data resource, not individually commissioned local market research. A portfolio-level editorial-value review checks every profile's source identity, distinctive metrics, peer evidence, synthesis and planning questions before index eligibility can be enabled.
Analysis basis: Midrank percentile across all accepted England records; a higher percentile means a higher published value, not a better outcome. Root-mean-square Euclidean distance across eight clipped robust z-scores; population and 2023 house price are log-transformed before median/MAD scaling.