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.
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 Type | Examples | Refresh Cycle | Role in Models |
|---|---|---|---|
| National census | Census of Population (Ireland, EU member states) | Every 5 years | Demographic baseline and benchmarking |
| Government labour statistics | Earnings surveys, labour force surveys | Quarterly / annual | Income distribution benchmarks |
| Tax & administrative records | Anonymised revenue aggregate tables | Annual | High-income tail calibration |
| Geospatial datasets | Postal code boundaries, census tract maps | As revised | Spatial allocation and mapping |
| Consumer & market panels | Licensed syndicated spending panels | Monthly | Purchasing power refinement |
How We Build Our Estimates
From raw inputs to a client-ready report, each project moves through five controlled stages.
Acquisition & Licensing
We obtain datasets directly from national statistical offices and licensed providers, with full provenance records retained for every file.
Harmonisation
Variables are standardised across sources — income definitions, geographic boundaries and time periods are reconciled to a common framework.
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.
Validation
Estimates are benchmarked against published totals, tested with holdout samples and reviewed for outliers before release.
Delivery & Documentation
Clients receive reports with methodology notes, reference years, confidence ranges and clear guidance on appropriate use.
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
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.
