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Corrections

The register of corrections is the list of unforeseen modifications of the statistical results that have been published on the website. This is an Idescat service that seeks to make it easier for users to view the corrections.

Idescat produces and publishes thousands of statistical data every year in the hope that they constitute high-quality, accurate and reliable information. However, as in all human activities, it is inevitable that on occasions unanticipated modifications of the data will occur. In this case, the institution undertakes to rectify them and inform users as soon as possible by means of this register of corrections.

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Corrections
Code Statistics Information affected Topic Pub. date Corr. date descending
AFI Contributors and Affiliations to Social Security. 03/2020 Labour 03/06/2020 23/06/2020
AFI Contributors and Affiliations to Social Security. 05/2020 Labour 18/06/2020 19/06/2020
PIBA Gross value added. 2001-2017 Main aggregates 27/03/2020 16/06/2020
PIBT Quarterly Accounts. External balance and foreign balance. Q1/2001-Q4/2019 Main aggregates 27/03/2020 10/06/2020
TUREQUI Water parks. 2012-2018 Tourism 30/05/2019 04/06/2020
PIBA GDP. Deflactor index. 2018-2019 Main aggregates 27/03/2020 07/05/2020
PIBA Gross added value two branches. 2019 Main aggregates 27/03/2020 30/04/2020
IPC Consumer Price Index. 01/2020-03/2020 Prices 15/04/2020 22/04/2020
AFI Contributors to Social Security. 06/2015-09/2015 Labour 01/10/2015 01/04/2020
IPI Industrial Production Index. 01/2020-02/2020 Industry · Energy 06/03/2020 16/03/2020
TERR Territorial indicators. Orography. 2018 Territory 26/03/2019 28/02/2020
EESP Sports facilities. 2000-2019 Culture · Language 09/01/2020 13/02/2020
ADR Hotel Sector Profitability Indicators. 2018-2019 Tourism 23/01/2020 07/02/2020
IBI Urban and Rustic property tax. 2017 Public sector finance 22/06/2018 29/01/2020
CLEM Business Climate Survey. Q4/2019 Companies · Finances 20/01/2020 24/01/2020
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The letter m that sometimes accompanies the code of a correction indicates that it is an improvement in the data.