Datos & análisis


Online data

Data & Analisis

The data collection for the Survey of Adult Skills (PIAAC) took place from 1 August 2011 to 31 March 2012 in most participating countries. Around 166 000 adults, representing 724 million adults aged 16 to 65, were surveyed in 24 countries and sub-national regions in the official language/s of the countries.  »Read more about the Survey and discover some sample items in literacy, reading components, numeracy and problem-solving.
»Puntos clave de la evaluación de las competiencias de los adultos.


International Data Explorer

The International Data Explorer (IDE) allows you to create statistical tables and charts to explore adults' (16-65 years of age) performance in literacy, numearcy, and problem solving in technology-rich environments. Data can be analysed by country as well as in relation to demographic characteristics, social and linguistic background, education, use of skills and employment status.

Data accessed through this tool has been updated on 24 February 2015 to integrate corrections made in the 5 variables listed below. Revised Public Use Files (PUF) will be released on 18 March 2015 (see below).


 International Public Use Data Files

Public Use Files containing individual unit record data in SAS and SPSS format are available for downloading for each of the countries participating in the Survey of Adult Skills other than Australia. These contain both responses to the background questionnaire and the cognitive assessment. Full documentation of the contents of the files is provided. Please note that these files are primarily designed for use by researchers and data analysts. The files are also large and may take some time to download. To access the Australian Public Use File please write to: microdata.access@abs.gov.au


Public Use Files (PUF). Users should note that an error has been identified in the derivation of the following variables in the Public Use Files: NFE12JR, NFE12NJR, FNFE12JR, FNFAET12JR and FNFAET12NJR. Revised Public Use Files with updated data will be released on March 18, 2015SAS and SPSS can be executed to fix the problem. For any questions, please contact: Vanessa.Denis@oecd.org


German PIAAC Scientific Use File and its User Guide. Please note that access to some data is subject to prior authorisation. Please see 'data and documents' tab on the GESIS page cited previously.

U.S. PIAAC Synthetic Restricted Use File (SAS® / SPSS / Codebook). The U.S. PIAAC synthetic restricted use file (S-RUF) is available to researchers outside the U.S. to prepare computer code for the analysis of PIAAC data on the U.S. restricted use file (RUF). The U.S. RUF contains some variables that are not included in the US international PUF as well as data for some international variables at greater levels of disaggregation than available in the PUF. The structure of the S-RUF is similar to that of the actual restricted use file (RUF) to allow researchers to develop and test computer code for analytical routines. As the data on the S-RUF is synthetic, no conclusions can be drawn from the output generated.
Researchers wishing to run analysis on the actual U.S. RUF are able to submit their SAS, SPSS, or Stata code to piaac@air.org, where the requested analyses will be run using on the real U.S. RUF. The output will undergo a confidentiality review and will be returned to the researcher after approval.

International codebook

Derived variables codebook

Background Questionnaire (también en chileno, inglés (pdf), francès)

PIAAC Data Analysis Manual (SAS®, STATA®)

SAS® Macro (version 2.0). Please note that this file was updated on 18 December 2013; 27 March 2014 and 11 July 2014. (For any queries or to be informed of any update on this macro, please contact edu.piaac@oecd.org).

STATA® Macro (version 1.2). Please note that this file was updated on 9 January 2014.

Stata® repest macro. Users of the statistical software Stata® can install this module by typing –ssc install repest– in the command window. Repest supports analyses with plausible values and replicate weights and is specially designed to be used with the  PIAAC, PISA, TALIS, IALS and ALL datasets. Any questions or feedback on this module should be directed to francesco.avvisati@oecd.org.

Technical Report of the Survey of Adult Skills (PIAAC) (NB: Chapter 17 was updated on 1 Sept 2014)

Table of Contents
Section 1: Assessment and Instrument Design
Section 2: Platform Development
Section 3: Field Operations and Quality Control
Section 4: Sampling and Weighting
Section 5: Data Analysis and Data Products
Section 6: Appendices
» Download the full Report (NB: this document is more than 1000 pages long)

Data compendia - Background variables
. Please note that these files were updated on 13 November 2013.

Data Compendia - Cognitive variables

The compendia are sets of tables that provide categorical percentages for both cognitive and background items. The purpose of the compendia is to support PUF users so that they can gain knowledge of the contents of the PUF, and can use the compendia results to be sure that they are performing PUF analyses correctly. Note that due to the design of the cognitive assessment, comparisons of the cognitive item statistics provided in the compendia across countries for reporting purposes may not be appropriate. 


International Adult Literacy Survey (IALS) and the Adult Literacy and Life Skills Survey (ALL)

Public use microdata files containing data from the International Adult Literacy Survey (IALS) and the Adult Literacy and Life Skills Survey (ALL) can be accessed from Statistics Canada using the following links.

International Adult Literacy Survey
Adult Literacy and Life Skills Survey
International Adult Literacy Skills Survey (Canadian data from ALL)

These files contain results for literacy (IALS and ALL) and numeracy (ALL) on the same scales as the results from the Survey of Adult Skills (PIAAC). The process for linking results from the Survey of Adult Skills (PIAAC) and those from IALS and ALL is described in the Technical Report of the Survey of Adult Skills.


IDB Analyzer

The International Database (IDB) Analyzer facilitates the analysis of data from the Survey of Adult Skills (PIAAC). It creates SPSS code that can be used with SPSS to conduct statistical analyses, taking into account the complex sample structure of the databases. The software allows you to combine data from different countries for cross-country analysis and to select specific subsets of variables. It provides several different procedures for analysis, such as the computation of means or percentages of any background variable of interest for a whole country or subgroup within a population.


OECD Education GPS

The Education GPS will allow you to keep up to date with the latest OECD data and research on education and skills. The OECD Education GPS brings the world of education to your fingertips and provides you with easy access to the OECD’s wealth of data on education policies and practices.



The links below will allow you to download all the figures and tables included in the OECD Skills Outlook 2013: First Results from the Survey of Adult Skills. The webpackages also include data tables for other skill domains referred to but not examined in the report as well as some additional data. The package consists of Excel workbooks that can be viewed and downloaded by chapter. These files were updated to include data for France and the Russian Federation and published on 14 January 2014. An additional update was made on 26 January 2015 to correct the non-formal education and training part in Chapter 5.

Overview:  Key Findings from the Survey of Adult Skills

Chapter 1:  The Skills Needed for the 21st Century.

Chapter 2:  Proficiency in Key Information-Processing Skills among Working-Age Adults.

Chapter 3:  The Socio-Demographic Distribution of Key Information-Processing Skills

Chapter 4:  How Skills Are Used in the Workplace

Chapter 5:  Developing and Maintaining Key Information-Processing Skills

Chapter 6:  Key Skills and Economic and Social Well-Being

Annex B:  OECD Skills Outlook 2013 additional tables

Additional Tables (Minimum, mean, median and maximum values for hourly and monthly earnings by deciles.)


For questions contact: Marta.Encinas-Martin@oecd.org