Data and metadata by country



Country


Data
Identification required


Meta-
data

Open access

Number
of
semi-super
centenarians 

(aged 105 - 109)

 Number
of
super
centenarians

(aged 110+)

Periods covered

Last update*

Austria (AUT)             261 6 2003 - 2014 2014 - 2016
Belgium (BEL)             975 27 1996 - 2021  2020 - 2022
Canada - Quebec (CAN)             321 12 1983 - 2009  2020 - 2022
Denmark (DNK)             447 3 1970 - 2014 2014 - 2016
England and Wales (EAW)             3 853 179 1968 - 2020  2020 - 2022
Finland (FIN)             0 5 1989 - 2006 2010
France (FRA)             10 455 253 1978 - 2018  2020 - 2022
Germany (DEU)             928 16 1989 - 2005 2014 - 2016
Japan (JPN)             0 78 1996 - 2005 2010
Norway (NOR)             220 8 1986 - 2006 2014 - 2016
Spain (ESP)             0 60 1989 - 2016 2014 - 2016
Sweden (SWE)             0 10 1986 - 2003 2010
United-States (USA)             338 504 1979 - 2010 2014 - 2016

 

Complete IDL database file               17 798 1 161 1968 - 2021  2020 - 2022 

* There have been 4 successive rounds of IDL updates, in the course of which individuals have been added to the database or countries newly included. These rounds took place in the following periods:
round 1 : 2010 
round 2 : 2014 - 2016 
round 3 : 2017 - 2019 
round 4 : 2020 - 2022

 

 

Codebook IDL

Download the “Codebook of IDL Variables” Excel spreadsheet     

Liste of variables

Variable Description
IDL_ID Unique and personal identifier number of the supercentenarian / semi-supercentenarian (format alphanumeric)
Ageyears Age in years
Dayssincebd Number of days since the death and the last birthday
Agedays Age in days
Sex The person’s sex/gender (format one-character alphabetic)
Birth_Year The person’s year of birth (format YYYY)
Birth_Month The person’s month of birth (format MM)
Birth_Day The person’s day of birth (format DD)
Birth_Country The person’s country of birth
Birth_Locality Municipality, commune, or other equivalent local administrative unit where the person was born (format code Nuts3)
Death_Year The person’s year of death (format YYYY)
Death_Month The person’s month of death (format MM)
Death_Day The person’s day of death (format DD)
Death_Country The person’s country of death
Death_Locality Municipality, commune, or other equivalent local administrative unit where the person died (format code Nuts3)
Validation Code indicating the type of validation (format alphanumeric)

Values of variables

Variable Code Description
Sex F Female
M Male
BIRTH_COUNTRY

/

DEATH_COUNTRY

AUT Austria
BEL Belgium
CAN Canada
DEU Germany
DNK Denmark
EAW England and Wales
ESP Spain
FIN Finland
FRA France
JPN Japan
NOR Norway
  SWE Sweden
  USA United States of America

BIRTH_LOCALITY

/

DEATH_LOCALITY

 ATXXX Austria codes Nuts3: Municipality, commune, or other equivalent local administrative unit where the person was born/died (cf. Excel file for details of codes).
FRXXX France codes Nuts3: Municipality, commune, or other equivalent local administrative unit where the person was born/died (cf. Excel file for details of codes).
UKXXX United Kingdom codes Nuts3: Municipality, commune, or other equivalent local administrative unit where the person was born/died (cf. Excel file for details of codes).
VALIDATION YES YES: indicates that a validation procedure was successfully completed. This means that an early life document – preferably a birth record, a baptism record, or an early census record – was available and has been checked. Similarly, the date of death of a fully validated case must be backed up by a document, such as a death certificate or an entry in a death index. For several countries, the validation procedure is not documented as thoroughly as the full validation criteria require, but individual cases have been carefully checked. For example, in some cases the local residence register may have officially confirmed a date of death, but did not issue a personal document on the individual. There may also be cases in which the sequence of entries in national censuses had been carefully checked by the respective national statistical office over the course of the individual’s life.
SAMPLE OUT SAMPLE OUT: indicates that the record was not included in the sample for validation. This implies that the individual was not validated, but that a random sub-sample of the population was. All cases selected for sample validation (from the population of interest: 105-109 years) must have a validation equal to "YES".

* Nuts3 codes 2021. 
** Nuts3 codes 2016. 
Changes between Nuts3 codes of 2016 and 2021. For more information, please refer to the Eurostat documentation available here

About the data files

The IDL data are classified by country. For each country, there is a data file available: List of individuals who died at ages 105 and above.
This data file is available in Excel (.xls) and Text (.txt) formats:
each record in the data file contains information about one individual; each person included in the IDL has only one record. These files have the corresponding names: idl_XXX_dead_105+.xls; with XXX representing the country code (ISO 3166-1 alpha-3 code). In addition to the data files, there is a metadata file that provides a general overview of the data, as well as a short description of the age validation process used in that particular country. It is essential to take this information into consideration when performing demographic analyses.

About the metadata files

Metadata files are available for download for every country in pdf format. These files contain information on the original data sources and the data collection process, including information on the selected birth cohorts, the age range of the data, and the time window in which the information was sampled. Where available, information on the age validation procedure is also provided in the metadata file.
The name of the metadata file is idl_metadata_XXX.pdf, with XXX representing the country code.

Confidentiality of IDL data

In most cases, thorough validation of the age of individuals who died at extreme ages can only be done by accessing personal information. The person’s name, for example, is needed in order to match census information with birth, marriage or death certificates. The contributors to the IDL have to comply with all data confidentiality regulations in their country and may only authorize specially trained personnel to perform the age validation. No personal information is provided to the public version of the IDL, and personal information is not made available to researchers or anyone else not involved in the validation process.

Scripts of IDL data

Download the R script for calculation of the AGEYEARS, AGEDAYS and DAYSSINCEBD variables