Source: German Centre for Higher Education Research and Science Studies, calculations; OECDMain Science and Technology Indicators 2019/1
This table also appears in the Federal Report on Research and Innovation as Table 36.

1) Nominal expenditures converted into US dollar purchasing power parities.
2) Including general funding for higher education research.
3) PNP: private non-profit institutions.
4) Some figures are revised, provisional, estimated or only partly comparable with figures from previous years or include other sectors (see original edition of "Main Science and Technology Indicators 2019/1").
5) Until 1990, western German Länder only. As of 1991, the PNP sector is included in the performance data of the government sector.
6) From 1981 to 1990, including extramural R&D expenditure. From 1986 to 1996, financing data of other national sources and abroad exclude other national sources.
7) Performance data of the government sector, from 1981 to 1991, exclude R&D in the social sciences and humanities; from 1981 to 2004, only central government expenditure. In 1995, performance data of the higher education sector exclude most or all capital expenditure. From 1981 to 1991, performance data of the PNP sector exclude R&D in the social sciences and humanities. 2015 data on GERD financed by foreign sources can not be shown because they are considered confidential.
8) Until 2014, share of performance by the business enterprise sector: definition differs.
9) Until 2006, excluding R&D in the social sciences and humanities.
10) Excludes most or all capital expenditure (included in the government sector only). Until 2008, government sector R&D performance covers only federal government activities. From 1981 to 2008, financing from foreign sources is included in the business enterprise sector, as of 2009, it is included in other national sources and abroad.

m = data not available.
y = data included in another position.
z = value not stated for reasons of confidentiality, but included in the total.

Last update: September 2019

This work is licensed under a Data licence Germany attribution non-commercial 1.0.