Methodology

How we calculate the metrics in our economic profiles.

Data Sources

SourceGeographyFrequencyLicence
Business Register and Employment Survey (BRES)LA and belowAnnualOGL v3.0
Annual Survey of Hours and Earnings (ASHE)LAAnnualOGL v3.0
Census 2021Output area and aboveDecennialOGL v3.0
HM Land Registry Price PaidLAAnnual (December averages)OGL v3.0
UK Business Counts (Inter-Departmental Business Register)LAAnnualOGL v3.0
Mid-Year Population EstimatesLAAnnualOGL v3.0
ONS Business DemographyLAAnnualOGL v3.0

Employment, earnings, population, and business data accessed via Nomis (nomisweb.co.uk). House prices from HM Land Registry linked data (landregistry.data.gov.uk). Business demography from ONS published tables.

Location Quotients

A location quotient (LQ) measures the relative concentration of an industry in a local area compared to a reference economy (England).

LQ = (local_employment_in_sector / local_total_employment)

/ (national_employment_in_sector / national_total_employment)

LQ > 1.50: Highly specialised. The sector is significantly over-represented locally.

LQ 1.25-1.50: Specialised. Meaningful local concentration above the national average.

LQ 0.75-1.25: Average. Broadly in line with the national economy.

LQ < 0.75: Under-represented. The sector is less prevalent locally than nationally.

Shift-Share Analysis

Shift-share decomposes employment change in each sector into three components:

National share

How much employment would have changed if the local sector grew at the national all-sector rate. Reflects the overall economic tide.

Industry mix

The additional change attributable to the sector growing faster or slower nationally than the overall economy. Captures structural advantages (or disadvantages) from sector composition.

Local competitiveness

The residual: how much the local sector outperformed (or underperformed) its national sectoral trend. This is the component that reflects genuinely local factors.

Validation: For every sector, the three components sum exactly to the actual employment change. This is a mathematical identity, not an approximation.

House Prices

Median house prices are sourced from the HM Land Registry Price Paid dataset via their SPARQL linked data endpoint. We use December average prices for each year (2015 onwards) to provide consistent annual snapshots.

The price-to-earnings ratio divides the median house price by median annual workplace earnings (from ASHE) for the same local authority. Year-on-year change is calculated from the two most recent December figures available.

Population Estimates

Mid-year population estimates are the official measure of population between Censuses, published annually by ONS. They are based on the most recent Census, updated for births, deaths, and migration.

Age profile shows the percentage of the population in three broad groups: under 16, working age (16-64), and 65 and over. Population change is calculated over the five most recent available years.

These estimates are more current than Census 2021 data and provide the denominator for per-capita calculations (e.g., enterprises per 1,000 population).

Gender Pay Gap

The gender pay gap is calculated as: (male median - female median) / male median, using ASHE workplace-based estimates. This measures the difference in median annual gross earnings between men and women working in the same local authority area.

Values may be suppressed for areas with fewer than 30 respondents in either the male or female sample. Full-time and part-time medians are also sourced from ASHE (all workers, not split by gender).

Business Demography

Enterprise births and deaths are sourced from the ONS Business Demography publication. A birth is a new enterprise appearing on the Inter-Departmental Business Register (IDBR). A death is an enterprise that has ceased to trade.

The birth rate is calculated as: births / active enterprises. Net formation rate is: birth rate - death rate. Survival rates track the percentage of enterprises born in a given year that remain active after 1, 3, and 5 years.

Note: Business Demography covers VAT and/or PAYE registered enterprises only. Self-employed individuals below the VAT threshold are excluded.

Business Environment

Enterprise counts come from the UK Business Counts dataset on Nomis, which is derived from the Inter-Departmental Business Register (IDBR). This covers VAT and/or PAYE registered businesses.

Size bands follow the standard classification: micro (0-9 employees), small (10-49), medium (50-249), and large (250+). The three-year trend shows net change in total active enterprises, and the growth rate is calculated from the earliest to the latest available year.

Interactive Map

The homepage choropleth map uses Local Authority District boundaries from the ONS Open Geography Portal (December 2023 vintage, super-generalised and clipped to the coastline). Boundaries are rendered as SVG using react-simple-maps.

Colour scales use the 5th and 95th percentile of each metric to set the range, preventing extreme outliers from compressing the visible variation.

Impact Multipliers

The impact calculator uses Type I input-output multipliers to estimate the indirect (supply chain) effects of investment or job creation in a local area. These are indicative estimates, not formal impact assessments.

Method

1. National technical coefficients

We start with a 104-industry technical coefficients matrix from the ONS Input-Output Analytical Tables (2023, Blue Book 2025), aggregated to 19 SIC sections. Each cell a_ij represents the proportion of output from sector j that is purchased as intermediate input from sector i.

2. SLQ regionalization

National coefficients are regionalized using the Simple Location Quotient (SLQ) method. For each sector j, the column of coefficients is scaled by min(LQ_j, 1), where LQ_j is the local area's location quotient for sector j. This assumes that sectors with lower local concentration will source more inputs from outside the region.

3. Leontief inverse

The regionalized matrix A is used to compute the Leontief inverse: L = (I - A)^(-1). Each column sum of L gives the output multiplier for that sector, representing total output generated per unit of direct output.

4. Employment multipliers

Employment multipliers combine the Leontief inverse with sector-specific employment-to-output ratios (jobs per million pounds of output), producing the total employment supported per direct job created.

Limitations and caveats

Important: These are indicative estimates intended to provide a rough sense of economic linkages. They should not be used as the basis for formal investment decisions or policy analysis. For rigorous impact assessments, consult a specialist economist.

Limitations

Licence

This product contains public sector information licensed under the Open Government Licence v3.0. Source data is Crown Copyright: Office for National Statistics, HM Land Registry, and Ministry of Housing, Communities and Local Government.