Home About Services Methodology Reports Contact Get a Quote

Our Methodology

Transparency is the foundation of trustworthy statistics. Here is exactly how we source, model, validate and deliver the population income data our clients rely on.

Analyst reviewing statistical models and income data charts

A Transparent, Reproducible Process

Every IncomeStat report follows the same documented pipeline: source acquisition, harmonisation, small-area estimation, validation and delivery. We publish our methods so you can understand precisely what stands behind each figure.

  • All data legally sourced from official statistical offices and licensed registries
  • Aggregated and anonymised before any analysis begins
  • Reference year and confidence intervals labelled on every metric
  • Methods documented and open to client audit on request

Data Sources We Use

We triangulate multiple independent sources to reduce bias and produce estimates that hold up under scrutiny.

Source TypeExamplesRefresh CycleRole in Models
National censusCensus of Population (Ireland, EU member states)Every 5 yearsDemographic baseline and benchmarking
Government labour statisticsEarnings surveys, labour force surveysQuarterly / annualIncome distribution benchmarks
Tax & administrative recordsAnonymised revenue aggregate tablesAnnualHigh-income tail calibration
Geospatial datasetsPostal code boundaries, census tract mapsAs revisedSpatial allocation and mapping
Consumer & market panelsLicensed syndicated spending panelsMonthlyPurchasing power refinement

How We Build Our Estimates

From raw inputs to a client-ready report, each project moves through five controlled stages.

1

Acquisition & Licensing

We obtain datasets directly from national statistical offices and licensed providers, with full provenance records retained for every file.

2

Harmonisation

Variables are standardised across sources — income definitions, geographic boundaries and time periods are reconciled to a common framework.

3

Small-Area Estimation

We combine regression models with spatial techniques to estimate income down to census tract and postal code level where official data is sparse.

4

Validation

Estimates are benchmarked against published totals, tested with holdout samples and reviewed for outliers before release.

5

Delivery & Documentation

Clients receive reports with methodology notes, reference years, confidence ranges and clear guidance on appropriate use.

4+Independent sources per model
±5%Typical median income margin of error at metro level
40k+Small areas covered across Ireland & Europe
100%Datasets anonymised before analysis

Privacy & Compliance

We never handle identifiable personal data in client deliverables. All inputs are aggregated, thresholded and anonymised in line with GDPR and applicable national statistics legislation before modelling begins.

  • Minimum aggregation thresholds suppress small cells
  • No individual records leave source environments
  • Data processing agreements for all licensed inputs
  • Annual review of compliance procedures
Team discussing data privacy standards in a meeting room

Methodology FAQs

How accurate are your small-area income estimates?

At metro and county level our estimates typically align with official benchmarks within a few percent. For very small areas we publish confidence ranges and recommend treating point estimates as indicative rather than exact.

Why do you combine multiple data sources?

Each source has strengths and blind spots. Census data is comprehensive but infrequent; administrative data is current but lacks demographic detail. Triangulating sources lets us correct for the weaknesses of each.

Can clients audit your methods?

Yes. Every report includes methodology documentation, and we provide extended technical appendices and source logs to clients on request under our standard confidentiality terms.

How do you handle areas with little or no data?

We use spatial interpolation from neighbouring areas plus demographic covariates, and flag such estimates with a lower reliability grade so you always know the confidence level behind each number.

Are your income figures gross or net?

By default we report gross household income, but reports can be produced on a net (after-tax) basis. The basis used is always stated on every table and chart.

Request Your Free Sample

See our methodology in action with a free sample report for one region of your choice.