Protected
Irish Health Survey 2025 Adult
From: Central Statistics Office
Times Requested:
Description
Conditions for Re-Use
Coverage
In 2025, the population is all individuals aged 15 years or older in the State. A stratified sampling approach was used to select approximately 26,500 respondents aged 15 years and over from the Census 2022 frame. The sample was stratified into six groups based on responses to the Census 2022 question on general health status: Very good, Good, Fair, Bad, Very bad, and Not stated.
To ensure sufficient representation of those in poorer health, the Very bad health stratum was intentionally oversampled relative to its proportion in the population. Within each stratum, individuals had an equal probability of selection. The Irish Health Survey has a weight variable to correct for non-response and sampling error. The weighting procedure had two steps: non-response adjustment and calibration. Design weights were calculated for all people in the initial sample.
The design weights are computed as the inverse of the selection probability of the unit and were the same for all sampled due to the simple random sampling approach. The purpose of design weights is to eliminate the bias induced by unequal selection probabilities. Calibration of the non-response adjusted design weights then took place, calibrating to the Q4 2025 population estimates at the level of sex, five-year age group, and NUTS 3 region using the Icarus-macro, developed by INSEE, for this purpose.
To provide national population results, the survey results were weighted to represent the entire population.
Protected Data Metadata
| Fields | Value |
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| Access Rights | restricted |
| Eircode | |
| Licenses |
Data and Resources
This dataset has no data
Additional Info
| Field | Value |
|---|---|
| Sector |
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| Dataset Coverage | In 2025, the population is all individuals aged 15 years or older in the State. A stratified sampling approach was used to select approximately 26,500 respondents aged 15 years and over from the Census 2022 frame. The sample was stratified into six groups based on responses to the Census 2022 question on general health status: Very good, Good, Fair, Bad, Very bad, and Not stated. To ensure sufficient representation of those in poorer health, the Very bad health stratum was intentionally oversampled relative to its proportion in the population. Within each stratum, individuals had an equal probability of selection. The Irish Health Survey has a weight variable to correct for non-response and sampling error. The weighting procedure had two steps: non-response adjustment and calibration. Design weights were calculated for all people in the initial sample. The design weights are computed as the inverse of the selection probability of the unit and were the same for all sampled due to the simple random sampling approach. The purpose of design weights is to eliminate the bias induced by unequal selection probabilities. Calibration of the non-response adjusted design weights then took place, calibrating to the Q4 2025 population estimates at the level of sex, five-year age group, and NUTS 3 region using the Icarus-macro, developed by INSEE, for this purpose. To provide national population results, the survey results were weighted to represent the entire population. |
| Primary Identifier | Anonymised sample with no primary identifier |
| Personal Data | No |
| Sensitive Personal Data | No |
| Business Data | No |
| Spatial Data | No |
| Data Sharing | No |
| API Available | No |
| Open Data | No |
| Open Data Portal Link | |
| Update frequency | Ongoing |
| Contact Point | |
| Contact Phone | |
| Contact Email | |
| Is a Protected dataset | Yes |
| The Protected Dataset contact email | |
| The conditions for re-use of the dataset | As per EU Data Governance Act, re-use must comply with: • EU and national laws protecting the data. • Technical and organisational measures to preserve confidentiality and integrity. • Anonymisation • Licensed by CC-BY 4.0 |
| The rights to access this data | restricted |
| Eircode | |
| Licenses |