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England and Wales · local-authority comparison

Shoplifting Rates by Local Authority

Compare published shoplifting records across defined authorities and see why retail activity matters to the result.

What is counted?

The shoplifting group records theft from shops where that classification is published. It measures recorded incidents, not retail loss, arrests or convictions.

What can shape this particular ranking?

Shoplifting comparisons are strongly shaped by retail opportunity and reporting. A compact authority with a regional shopping centre can serve far more shoppers than its resident population suggests. Store security systems and reporting policies can also change recorded counts without an equivalent change in underlying loss, so the count, rate and local retail context belong together.

The ranking is being refreshed

This evidence page waits for complete authority totals and denominators rather than publishing a partial table.

Three checks before comparing

  1. Use the same measure

    Count describes published volume. Rate adjusts for resident population. Neither is a personal risk score.

  2. Keep the source period fixed

    Every row above uses the same completed 12-month window. Do not compare it with a monthly map total.

  3. Check what is missing

    Unreported incidents are absent. Greater Manchester is removed, not ranked at zero, because its force does not supply this dataset.

How this shoplifting table is calculated

1. Fix the geography

Complete official LSOAs are assigned to their named local authority. Informal city labels and postcode shapes are not mixed into the table.

2. Count one category

Only records published in the Shoplifting group are counted. Other theft or violence groups do not enter this numerator.

3. Attach one denominator

The resident rate equals published records divided by the matched ONS population estimate, multiplied by 1,000. Counts remain visible because visitors and commuters are not residents.

4. Remove incomplete coverage

All ten Greater Manchester authorities are excluded before ranking because their force has not supplied this dataset since July 2019. They are not assigned a zero.

What this ranking cannot answer

  • It cannot count incidents that were never reported or recorded.
  • It cannot identify a victim, suspect, defendant or conviction.
  • It cannot turn an anonymised map coordinate into an exact address.
  • It cannot predict an individual's future risk in either authority.

Use the figures as a reproducible area comparison, then check local land use, transport, retail activity, visitor footfall and recording practice before explaining a difference.