Industry revenue of »retail sale via mail order houses or via internet« in Estonia from 2011 to 2023
(in million U.S. Dollars)
Industry revenue of »retail sale via mail order houses or via internet« in Estonia 2011-2023
This statistic shows the revenue of the industry »retail sale via mail order houses or via internet« in Estonia from 2011 to 2012, with a forecast to 2023. It is projected that the revenue of retail sale via mail order houses or via internet in Estonia will amount to approximately 428,1 million U.S. Dollars by 2023.

This statistic was automatically created using the well-proven Statista forecast algorithm based on similarity parameters to existing analyst forecasts. The basis for the original forecasts is a combination of time series forecasts, driver forecasts (GDP, population etc.) from sources such as World Bank or the International Monetary Fund and business surveys.
Industry revenue of »retail sale via mail order houses or via internet« in Estonia from 2011 to 2023
(in million U.S. Dollars)
Revenue in million U.S. Dollars
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Sources

Supplementary notes

* Estimate - This also applies for past years as data provided by statistical institutions often is not available for more recent years.

Currency conversion factor: (EUR -> USD) = 1.186

The industry classification is based on the NACE Rev.2 - system in Estonia. The industry “retail sale via mail order houses or via internet“ has the code “G4791“.

Details on the methodology can be found here.

Please visit here for more information on Statista market forecasts.

Industry revenue of »retail sale via mail order houses or via internet« in Estonia 2011-2023
This statistic shows the revenue of the industry »retail sale via mail order houses or via internet« in Estonia from 2011 to 2012, with a forecast to 2023. It is projected that the revenue of retail sale via mail order houses or via internet in Estonia will amount to approximately 428,1 million U.S. Dollars by 2023.

This statistic was automatically created using the well-proven Statista forecast algorithm based on similarity parameters to existing analyst forecasts. The basis for the original forecasts is a combination of time series forecasts, driver forecasts (GDP, population etc.) from sources such as World Bank or the International Monetary Fund and business surveys.
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