UK Town Job Market Profiler

Compares UK towns by employment rate, median earnings (residence-based), claimant unemployment, top occupations (SOC) and sector concentration (HHI) — built on ONS NOMIS data (APS, ASHE, BRES, claimant count). Side-by-side postcode comparison with national benchmarks and 1–10 year trends.

⏱️ 5 minutes • 💪 Medium

How This Tool Works

📋 Purpose

Choosing where to live, study or relocate without local labour-market data is a leap of faith. ONS publishes everything you need — employment rate, median earnings, claimant unemployment, sector mix, top occupations by SOC code — but it sits scattered across the NOMIS database in formats most people never explore. This profiler resolves any UK postcode to its Travel To Work Area or Local Authority District, then pulls the latest published statistics from the Annual Population Survey, the Annual Survey of Hours and Earnings (ASHE), the Business Register and Employment Survey (BRES) and the claimant count series. Side-by-side comparison of two towns, 1–10 year trend lines, sector concentration via the Herfindahl-Hirschman Index, and a sortable SOC occupations table mean you can answer 'is there a job market here for what I do?' with hard numbers, not anecdote.

⚙️ How It Works

  1. 1
    Enter your main postcode
  2. 2
    Optionally add a comparison postcode
  3. 3
    Choose 1–10 year trend window
  4. 4
    Read employment, earnings and sector stats
  5. 5
    Compare to UK national averages
  6. 6
    Drill into top occupations by SOC code

UK Town Job Market Profiler

Compare employment rates, median earnings, top occupations, and sector mix across UK towns. Ideal for relocators, students, and career-changers evaluating local labour markets.

Try: , ,

Enter a UK postcode to begin

Get instant insights into local employment rates, median earnings, top occupations, and sector composition. Compare locations to make informed career and relocation decisions.

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Complete Guide to UK Town Labour Market Data

How ONS measures employment and earnings, what HHI sector concentration means, and how to interpret town-level statistics fairly.

📅 Last updated: 2026-05-01

Quick Tips

Jump-start your understanding with these essential tips

<p>ONS publishes earnings two ways: by where workers live (residence-based) and by where they work (workplace-based). For relocation decisions use residence-based — it tells you what people earn living in that town, including commuters to higher-paid jobs elsewhere.</p>

<p>The headline employment rate covers ages 16–64 but is depressed in university towns by full-time students who are correctly classified as economically inactive. Compare against the youth-adjusted rate for a fairer picture in places like Cambridge, Oxford, Durham and Lancaster.</p>

<p>The Herfindahl-Hirschman Index (HHI) measures how concentrated a local economy is across sectors. Below 0.10 = diversified; 0.10–0.18 = moderate; above 0.18 = concentrated and economically vulnerable to a single-sector downturn.</p>

<p>Every metric is shown alongside the UK national average so you can see whether the gap is large or small in absolute terms. A town earning 5% above national average is not the same as a town earning 30% above.</p>

<p>The 5-year trend reveals whether a town is improving, stagnating or declining. A town with high current unemployment but improving over 5 years is a different proposition from a town with low current unemployment but worsening trend.</p>

Step-by-Step Guide

Follow these steps to get the most from this tool

The tool resolves the postcode to a Travel To Work Area (TTWA) or Local Authority District (LAD) — whichever ONS publishes the relevant statistic at — and pulls the latest available data.

Add a second postcode to put two towns side-by-side. Useful for relocation decisions where you are choosing between two jobs in different cities, or comparing your current home with a target area.

Choose 1–10 years. Default 5 years. Shorter windows highlight recent change; longer windows reveal structural trends. ONS series go back to 2004 for most metrics.

The hero panel shows employment rate, median full-time earnings (residence-based), unemployment rate (claimant count) and sector concentration HHI for each location, with deltas vs national average.

The sector chart shows the percentage of jobs in each ONS sector (manufacturing, retail, finance, public sector, etc.) compared to the national mix. Bars highlight where the town over- or under-indexes.

The occupations table lists the most common jobs by SOC code with employment count and median earnings. Sortable; useful for confirming whether your specific role exists locally and what it pays there.

Advanced Topics

Deep dives for advanced users

All statistics are sourced from ONS NOMIS — the official labour market database — drawing on the Annual Population Survey (APS), the Annual Survey of Hours and Earnings (ASHE), the Business Register and Employment Survey (BRES) and the claimant count time series.

Data is published with a lag of 6–12 months. The tool always shows the most recent published vintage and the publication date. ONS updates are quarterly for most series.

Travel To Work Areas (TTWAs) are functional economic zones — areas where most residents commute internally. There are 228 TTWAs in the UK. They are the right geography for "is there a job market here" questions.

Local Authority Districts (LADs) are administrative units used for council data, council tax, school catchments. They are right for "what is the local government like" questions but can split a single labour market in two (e.g. Manchester city vs Trafford vs Stockport are one TTWA but separate LADs).

SOC (Standard Occupational Classification) codes are 4-digit job categories. SOC 2010 / SOC 2020 are used by ONS. Examples:

  • SOC 2136 Programmers and software development professionals
  • SOC 2231 Nurses
  • SOC 6126 Educational support assistants
  • SOC 9111 Farm workers

The tool shows employment count, percentage share, and median full-time earnings. Watch out for thin samples — occupations with fewer than 50 employees in a TTWA have wide confidence intervals on earnings and may not appear at all due to disclosure rules.

Two different unemployment measures are commonly used:

  • ILO unemployment rate (from APS): people actively seeking work and available to start. This is the headline figure but is only published quarterly with a lag.
  • Claimant count: people receiving Jobseeker's Allowance or out-of-work Universal Credit. Published monthly. Tends to be lower than ILO unemployment because not all unemployed people claim, but moves in similar direction.

For trend analysis the claimant count is preferred — it updates more frequently and is available at smaller geographies.

Beware:

  • University towns: huge student population depresses employment rate even though jobs are plentiful.
  • Commuter belts: residence-based earnings are very high (London commuters) but local jobs are low-paid.
  • Tourism towns: workplace earnings are high in season but local resident earnings are low.
  • Small samples: TTWAs with under 30,000 working-age population have wide confidence intervals.

The tool flags samples with confidence-interval warnings.

Frequently Asked Questions

Straight answers to common questions about this tool

Office for National Statistics (ONS) NOMIS database — Annual Population Survey, ASHE, BRES, and claimant count time series. All sources are official UK government statistics.

The most recent published vintage is shown alongside its publication date. Most series lag by 6–12 months; the claimant count is the most current at 1-month lag.

If you entered a postcode but the matched TTWA has fewer than the disclosure threshold, ONS suppresses some metrics. Try a nearby larger postcode or accept partial results.

Residence-based earnings = what people living in the area earn (regardless of where they work). Workplace-based = what people working in the area earn (regardless of where they live). Use residence for relocation; workplace for local employer benchmarking.

Sum of the squared percentage shares of each sector. A perfectly diversified economy gives HHI close to 0; a single-sector economy gives 1.0. UK national HHI is typically 0.07–0.09.

For TTWAs with sample size above 200, yes — confidence intervals are typically ±5%. For smaller samples ONS publishes wider intervals; the tool shows them as a small +/- next to the figure.

Add a second postcode in the comparison box. The tool shows both sets of statistics with delta indicators highlighting the larger value in each metric.

Yes. Employment rate and sector mix include both employees and self-employed. Earnings figures cover full-time employees only (ASHE source); self-employed earnings come from Survey of Personal Incomes when available.

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Template reviewed: 2026-05-01Tool outputs can refresh continuously from live APIs where available.

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