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Download data from the eurostat database through the new dissemination API.


get_eurostat_raw(id, = FALSE)



A unique identifier / code for the dataset of interest. If code is not known search_eurostat() function can be used to search Eurostat table of contents.

Use faster data.table functions? Default is FALSE. On Windows requires that RTools is installed.


A dataset in tibble format. First column contains comma separated codes of cases. Other columns usually corresponds to years and column names are years with preceding X. Data is in character format as it contains values together with eurostat flags for data.

Data source: Eurostat SDMX 2.1 Dissemination API

Data is downloaded from Eurostat SDMX 2.1 API endpoint as compressed TSV files that are transformed into tabular format. See Eurostat documentation for more information:

The new dissemination API replaces the old bulk download facility that was used by Eurostat before October 2023 and by the eurostat R package versions before 4.0.0. See Eurostat documentation about the transition from Bulk Download to API for more information about the differences between the old bulk download facility and the data provided by the new API connection:

See especially the document Migrating_to_API_TSV.pdf that describes the changes in TSV file format in new applications.

For more information about SDMX 2.1, see SDMX standards: Section 7: Guidelines for the use of web services, Version 2.1:

The following copyright notice is provided for end user convenience. Please check up-to-date copyright information from the eurostat website:

"(c) European Union, 1995 - today

Eurostat has a policy of encouraging free re-use of its data, both for non-commercial and commercial purposes. All statistical data, metadata, content of web pages or other dissemination tools, official publications and other documents published on its website, with the exceptions listed below, can be reused without any payment or written licence provided that:

  • the source is indicated as Eurostat;

  • when re-use involves modifications to the data or text, this must be stated clearly to the end user of the information."

For exceptions to the abovementioned principles see Eurostat website

Citing Eurostat data

For citing datasets, use get_bibentry() to build a bibliography that is suitable for your reference manager of choice.

When using Eurostat data in other contexts than academic publications that in-text citations or footnotes/endnotes, the following guidelines may be helpful:

  • The origin of the data should always be mentioned as "Source: Eurostat".

  • The online dataset codes(s) should also be provided in order to ensure transparency and facilitate access to the Eurostat data and related methodological information. For example: "Source: Eurostat (online data code: namq_10_gdp)"

  • Online publications (e.g. web pages, PDF) should include a clickable link to the dataset using the bookmark functionality available in the Eurostat data browser.

It should be avoided to associate different entities (e.g. Eurostat, National Statistical Offices, other data providers) to the same dataset or indicator without specifying the role of each of them in the treatment of data.

See also section "Eurostat: Copyright notice and free re-use of data" in get_eurostat() documentation.

Disclaimer: Availability of filtering functionalities

Currently it only possible to download filtered data through API Statistics (JSON API) when using eurostat package, although technically filtering datasets downloaded through the SDMX Dissemination API is also supported by Eurostat. We may support this feature in the future. In the meantime, if you are interested in filtering Dissemination API data queries manually, please consult the following Eurostat documentation:


See citation("eurostat"):

# Kindly cite the eurostat R package as follows:
#   Lahti L., Huovari J., Kainu M., and Biecek P. (2017). Retrieval and
#   analysis of Eurostat open data with the eurostat package. The R
#   Journal 9(1), pp. 385-392. doi: 10.32614/RJ-2017-019
# A BibTeX entry for LaTeX users is
#   @Article{10.32614/RJ-2017-019,
#     title = {Retrieval and Analysis of Eurostat Open Data with the eurostat Package},
#     author = {Leo Lahti and Janne Huovari and Markus Kainu and Przemyslaw Biecek},
#     journal = {The R Journal},
#     volume = {9},
#     number = {1},
#     pages = {385--392},
#     year = {2017},
#     doi = {10.32614/RJ-2017-019},
#     url = {},
#   }
#   Lahti, L., Huovari J., Kainu M., Biecek P., Hernangomez D., Antal D.,
#   and Kantanen P. (2023). eurostat: Tools for Eurostat Open Data
#   [Computer software]. R package version 4.0.0.
# A BibTeX entry for LaTeX users is
#   @Misc{eurostat,
#     title = {eurostat: Tools for Eurostat Open Data},
#     author = {Leo Lahti and Janne Huovari and Markus Kainu and Przemyslaw Biecek and Diego Hernangomez and Daniel Antal and Pyry Kantanen},
#     url = {},
#     type = {Computer software},
#     year = {2023},
#     note = {R package version 4.0.0},
#   }

See also


Przemyslaw Biecek, Leo Lahti, Janne Huovari and Pyry Kantanen


# \donttest{
#> # A tibble: 213 × 16
#>    freq,indic_ed,geo\\TIME_PE…¹ `1998` `1999` `2000` `2001` `2002` `2003` `2004`
#>    <chr>                        <chr>  <chr>  <chr>  <chr>  <chr>  <chr>  <chr> 
#>  1 A,ST1_1,AL                   NA     NA     18.2   18.7   NA     18.7   NA    
#>  2 A,ST1_1,AT                   10.5 d 11.2   NA     11.1   11.3   11.3   11.9  
#>  3 A,ST1_1,BE                   NA     NA     NA     11.2 d 10.7 d 11.0 d 10.8 d
#>  4 A,ST1_1,BE_FRA               NA     NA     NA     NA     9.9    10.5   10.5  
#>  5 A,ST1_1,BE_VLA               13.1   13.3   13.7   NA     11.3   11.2   11.1  
#>  6 A,ST1_1,BG                   13.0   14.1   13.2   13.6   13.5   13.7   13.5  
#>  7 A,ST1_1,CY                   NA     15.3   14.9   16.6   15.1   15.0   14.0  
#>  8 A,ST1_1,CZ                   16.8   17.4   16.6   15.6   15.1   14.8   14.4  
#>  9 A,ST1_1,DE                   17.2   17.2   16.4   16.3   16.1   16.0   16.1  
#> 10 A,ST1_1,DK                   10.9 d 11.0 d 11.0 d 10.9 d 11.7 d 11.4 d : u   
#> # ℹ 203 more rows
#> # ℹ abbreviated name: ¹​`freq,indic_ed,geo\\TIME_PERIOD`
#> # ℹ 8 more variables: `2005` <chr>, `2006` <chr>, `2007` <chr>, `2008` <chr>,
#> #   `2009` <chr>, `2010` <chr>, `2011` <chr>, `2012` <chr>
# }