Epidemiology

Measured, not modelled.

Disease prevalence from national registers and surveys: England's GP disease registers, the CDC's surveillance systems, Australia's national health survey and Eurostat's European health interview survey. Every figure is a published national statistic with an open licence, linked to its source. No modelled estimates. This free tool carries 10 flagship conditions; the full registry of 27, with the systematic-review evidence map behind each figure, is in the subscription.

, conditions
, geographies
, observations
4source systems
Choose countries

Latest measured prevalence, by geography

Latest available figure per geography. Bases differ between systems, so compare trends within a system, not levels across systems.

Follow this condition through the stack

The same condition, seen through our other live datasets.

Four sources, and they do not measure the same thing

Every figure on this page is a published national statistic, and the page is built on four of them. They do not define prevalence the same way, so the first thing worth knowing is which one a number came from.

SourceWhat it countsObservations GeographiesConditions Years
Eurostat EHIS (EU open reuse)survey, self-reported3603062014–2019
OHID Fingertips / NHS QOF (OGL v3)register, GP-recorded1301102009/10–2024/25
ABS National Health Survey (CC BY 4.0)survey, self-reported34152001–2022
CDC Chronic Disease Indicators (public domain)survey, self-reported28162019–2023

A GP register counts people who have been diagnosed and coded. A survey counts people who say they have the condition. The two diverge in both directions: undiagnosed disease depresses a register, while recall and self-diagnosis inflate a survey. England against France is therefore not a like-for-like comparison. Even within that register the age basis varies by condition — 4 different ones across the ten.

Depth and breadth are not the same countries

England is the deep series: 16 years of it, 2009/10 to 2024/25, across all 10 conditions. Europe is the wide one: 30 geographies, but 6 conditions and two survey waves.

That shapes what the data can answer. 181 of the 201 condition-by-geography series here hold exactly two observations, so a trend question is an England question and a cross-section question is a European one. Asking for a fifteen-year trend in Portugal is asking for something the published statistics do not contain.

Questions this data answers

Is prevalence here measured the same way in every country?

No, and the difference matters. 30 of the geographies come from Eurostat EHIS (EU open reuse), which asks people whether they have the condition. England comes from the NHS Quality and Outcomes Framework, which counts patients recorded on a GP register. A register misses undiagnosed disease; a survey picks up self-diagnosis and recall. Compare them with that in mind, or compare within a source.

Can I see a trend for my country?

For England, yes — 16 years, 2009/10 to 2024/25. For most of Europe, no: the survey runs in waves, so 181 of the 201 condition-by-geography series here hold just two points.

Why is every figure linked to a source?

Because the alternative is a number you cannot defend in a submission. Every observation carries its publisher, its licence and the year it refers to, and all four sources are open data. Nothing here is modelled, imputed or forecast.

Is the European Union figure a country?

No. EU27 is an aggregate published by Eurostat alongside the member states. It is in the list because it is useful as a reference line, not because it is a market.

What is in the subscription?

This page carries 10 conditions. The registry behind it holds 27, with the underlying series, the age and sex breakdowns where the publisher provides them, and the evidence map for each figure.

Citing this

Altima Partners, “Recorded and surveyed prevalence, 10 conditions across 33 geographies”, altimapartners.co.uk/epidemiology. Cite the underlying publisher for any individual figure — each one carries its source and year, and all four are open data.

Need a number you can defend?

We build epidemiology-driven patient funnels for budget impact and forecasting, sourced from registers and surveys like these, reconciled against the literature, and documented so your reviewer can trace every input. Fixed fees, senior-built.

Talk to us about your indication