Our World
in Data
Oxford Martin School logoUniversity of Oxford logoGlobal Change Data Lab logo
Data

The two Germanies: Planning and capitalism - GDP per capita

About this data

The two Germanies: Planning and capitalism - GDP per capita
Units of measurement: 1990 international dollars
Source
The Conference Board (2015) – processed by Our World in Data
Last updated
August 29, 2018
Date range
1950–1989
Unit
$

Sources and processing

This data is based on the following sources

The Conference Board – The 2015 Total Economy Database

Missing observations for East Germany has been obtained by linear interpolation between 1950 and 1960.

Retrieved on
August 29, 2018
Retrieved from
https://www.conference-board.org/data/economydatabase/index.cfm?id=27762
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
The Conference Board: 'The 2015 Total Economy Database'.

Missing observations for East Germany has been obtained by linear interpolation between 1950 and 1960.

Retrieved on
August 29, 2018
Retrieved from
https://www.conference-board.org/data/economydatabase/index.cfm?id=27762
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
The Conference Board: 'The 2015 Total Economy Database'.

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: The two Germanies: Planning and capitalism - GDP per capita”. Our World in Data (2026). Data adapted from The Conference Board. Retrieved from https://archive.ourworldindata.org/20260513-060106/grapher/the-two-germanies-planning-and-capitalism.html [online resource] (archived on May 13, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

The Conference Board (2015) – processed by Our World in Data

Full citation

The Conference Board (2015) – processed by Our World in Data. “The two Germanies: Planning and capitalism - GDP per capita” [dataset]. The Conference Board, “The 2015 Total Economy Database 2015” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260513-060106/grapher/the-two-germanies-planning-and-capitalism.html (archived on May 13, 2026).

Download

Quick download

You can download the visualization as an image or download the chart data.