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Experimental statistics

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The aim of experimental statistics is to seek new ways of producing statistics that would allow users quick and convenient access to relevant and necessary information.

To produce experimental statistics we use:

  • data linking and combining;
  • new data sources (e.g. electricity consumption data of Elering, data of mobile network operators);
  • new methods (e.g. web scraping, machine learning);
  • modern visualisation solutions (e.g. R Shiny and Flourish).

The output of experimental statistics may diverge from the traditional requirements of official statistics such as harmonisation, coverage

In the second quarter, Estonian economy contracted by 6.9%

Kuupäev 31.08.2020
Article
According to Statistics Estonia, in the 2nd quarter of 2020, the gross domestic product (GDP) fell by 6.9% compared to the 2nd quarter of 2019. The GDP at current prices was 6.4 billion euros.

Imports of goods

Area
Imports is the movement of goods into Estonia for domestic consumption or for resale to other countries. Imports also includes temporary imports of goods for processing in Estonia with the obligation of re-export and re-imports after processing outside Estonia. Imports does not include transit or services. Data on imports from EU countries are based on detailed data and estimates from other EU countries of their exports to Estonia. Estimates are published by 2-digit commodity code and partner country level. Data for other countries have been supplemented with administrative data where

In 2018, rapid economic growth continued in Estonia

Kuupäev 28.02.2019
Article
According to Statistics Estonia, in 2018, the gross domestic product (GDP) of Estonia increased 3.9% compared to 2017. For the third consecutive year the economic growth in Estonia was faster than 3%. In the 4th quarter of 2018, the Estonian economy increased by 4.2% compared to the 4th quarter of 2017.

Emptying blocks of flats in Valga and Lüganuse rural municipalities and Kohtla-Järve city

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How many blocks of flats are there in Kohtla-Järve city and Lüganuse and Valga rural municipalities in which all or most dwellings are unoccupied? Can this question be answered by looking at electricity consumption data? We prepared an analysis, using place of residence registrations and electricity consumption data, to determine how many of the flats in the blocks of flats in Kohtla-Järve city and Lüganuse and Valga rural municipalities are empty.