The Irish Longitudinal study on Ageing (TILDA)

Update: TILDA Release Guide v2.3 now available

Update: Harmonized TILDA data now available in SPSS, SAS and Stata formats

Update: Revised versions of Wave 1 (v1.6) and Wave 2 (v2.3) now available in SPSS and Stata formats

Summary of changes:

  • BEHalc_doh_limit (Department of Health limit risk) updated in wave 1 dataset
  • Imputed income and asset variables added. These variables have been developed for the Gateway to Global Aging Data repository and further details on the imputation process are available on their website ( All imputed values are prefixed with “G2G”. These imputed values should be used in conjunction with the harmonised TILDA data available on the Gateway to Global Ageing website. Imputed variables have been added to both wave 1 and wave 2 datasets and are detailed in the TILDA Release Guide v2.2 (PDF). Each imputed variable has an associated flag variable to detail whether a value is original data or contains imputed data.



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 will involve 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 utilised.
  • The study is closely harmonised with leading international research so as to ensure adoption of best practice and comparability of results.

The TILDA project is funded by Irish Life, Atlantic Philanthropies, and the Department of Health. The support of these early funders allowed this project to be conceived, planned, and implemented.

Wave 1

The version 1.6 anonymised dataset includes data from all 8,504 TILDA participants interviewed at wave 1. This includes data from 8,175 individuals aged 50 and over and 329 younger spouses or partners of participants. It includes data from the home interview, the self-completion questionnaire, selected data from the health assessment and certain other variables derived from these data. More information on these derived variables can be found in the ‘Wave 1 Derived Variable Codebook’.

The 1.6 version contains a unique identifier which is explained in detail the TILDA Release Guide v2.2 (PDF). This identifier differs from previous dataset versions 1.3 or earlier and can be used to merge data from both waves of data collection.

Wave 2

The version 2.3 anonymised dataset includes data from the 7,207 TILDA respondents who completed a second self-interview during the wave 2 fieldwork. Data from any respondents who were new at wave 2, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=408) to protect anonymity. The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the Derived Variables Codebook_wave 2 v2.3 (MS Word).


Harmonised TILDA

Harmonised TILDA is a internationally comparable version of the TILDA data developed in conjunction with Gateway to Global Aging Data (G2G). It is a single datafile which contains all waves of TILDA with variables formatted according the G2G data convention to enable cross-country analysis. The harmonised dataset is currently available in STATA, SPSS and SAS formats. Full metadata and codebooks are available through the G2G website.




Data (available through ISSDA application process)


Wave 1

File name File format Contents of file
TILDA-AMF-v1.6.dta Stata Wave 1 Data
TILDA-AMF-v1.6.sav SPSS Wave 1 Data


Wave 2

File name File format Contents of file
TILDA-AMF-v2.3.dta Stata Wave 2 Data
TILDA-AMF-v2.3.sav SPSS Wave 2 Data


Harmonized TILDA

File name File format Contents of file
H_TILDA.sav  SPSS Harmonised TILDA Data
h_tilda.sas7bdat SAS Harmonised TILDA Data SAS Harmonised TILDA Data
 H_TILDA.dta  Stata Harmonised TILDA Data


Study Documentation


Wave 1


Wave 2


Harmonized TILDA

  • Harmonized TILDA Codebook (delivered with the data)




Register of Use

ISSDA maintains an opt-in register of projects using TILDA data in their research.  


Accessing the data

The two waves of data from the project are available for request via ISSDA for bona fide research projects only. The current releases has been updated so they now include the first section of health data along with data from the CAPI and SCQ (self-completion questionnaire) administered surveys. Additional health data will be added in future releases.

To access the Anonymised Microdata File (AMF) for Wave 1 and 2, please complete a ISSDA Data Request Form for Research Purposes and send it to ISSDA by email.

Data will be disseminated on receipt of a fully completed, signed form.  Please note that incomplete or unsigned forms will be returned to the data requester for completion.

For teaching purposes, please complete the ISSDA Data Request Form for Teaching Purposes, and follow the procedures, as above. Teaching requests are approved on a once-off module/workshop basis. Subsequent occurrences of the module/workshop require a new teaching request form.

If you have any queries relating to this dataset please read our FAQs


For a list of Sports related datasets click here.


For a list of Health related datasets click here.