The Irish Longitudinal Study on Ageing (TILDA), Wave 3, 2014-2015 (ICPSR 37106)

Version Date: Mar 1, 2023 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Rose Anne Kenny, Trinity College (Dublin, Ireland)


Version V3 ()

  • V3 [2023-03-01]
  • V2 [2018-08-02] unpublished
  • V1 [2018-07-30] unpublished

These data are unavailable indefinitely from ICPSR.

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TILDA Wave 3

The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (

The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized.

The third wave of TILDA interviews were undertaken between March 2014 and October 2015. Of the 7,445 interviewed in Wave 2, a third interview was obtained for 6,874 respondents. These consisted of the self, proxy and end-of-life interviews types. In addition to the returning respondents, 28 interviews were obtained from eligible household members who had chosen not to take part in Wave 1 or the new spouses/partners of existing respondents.

Demographic and background variables include age, sex, marital status, household composition, education, and employment.

Kenny, Rose Anne. The Irish Longitudinal Study on Ageing (TILDA), Wave 3, 2014-2015. Inter-university Consortium for Political and Social Research [distributor], 2023-03-01.

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Department of Health and Children (Ireland), Irish Life (Ireland), Atlantic Philanthropies
Inter-university Consortium for Political and Social Research

2014 -- 2015
2014-03 -- 2015-10
  1. These data were organized by Ipsos-MORI.

  2. ESRI - Economic and Social Research Institute, Dublin, Ireland were special collaborators.

  3. Additional information about The Irish Longitudinal Study on Ageing can be found at the TILDA Web site.

This research aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland.

The sample design incorporates stratification, clustering, multi-stage selection, and representative probability sampling. The dataset contains the cluster variables CLUSTER and HOUSEHOLD. The selection of geographic clusters was stratified, so that equal numbers of clusters were selected from each of three socio-economic groups. The socio-economic status of a cluster was defined by the proportion of individuals in that cluster. Please refer to the Release Guide for additional information on sampling.


Individuals aged 50 years and older and their spouses or partners of any age, who are resident in Ireland.

Individual, Families/Households

Self-Completion Questionnaire: 85%

Comprehensive Health Assessment: 82%

Several commonly used scales have been constructed based on the CAPI and SCQ data and these are included along with other derived variables. Derived variables are prefixed with an uppercase code which indicates the research area to which they relate. Please see the Derived Variables codebook for more information on these variables.



2023-03-01 Updated study title, data files, and documentation.

2018-08-02 This collection was updated to correct the Derived Variables Codebook.

2018-07-30 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

Weights for the Wave 3 AMF are not yet available but will be included as part of a future release.