Tab.1.7.13,,,,,,,,,,,,,,,,,,,,,,,,,
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"Regional breakdown of R&D personnel in the Federal Republic of Germany per 1,000 inhabitants 1)",,,,,,,,,,,,,,,,,,,,,,,,,
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,"R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants","R&D personnel per 1,000 inhabitants"
,1995,1997,1999,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022
Federal Land,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number,Number
Baden-Württemberg,9,9,9,10,9,10,10,10,11,11,11,12,12,13,13,13,13,14,14,16,16,16,16,17,17
Bavaria,7,7,8,8,8,8,8,8,8,8,8,9,9,9,9,9,9,10,10,10,10,10,11,12,12
Berlin,9,9,9,10,10,9,9,8,9,8,9,9,9,9,10,9,10,10,10,10,10,10,10,10,11
Brandenburg,3,3,3,3,3,2,2,2,2,3,3,3,3,4,4,4,4,4,4,4,5,5,5,5,5
Bremen,8,7,7,7,8,9,8,7,7,8,8,8,9,9,9,10,10,11,11,11,11,11,11,12,12
Hamburg,8,8,7,6,6,7,7,7,7,7,8,8,8,8,8,9,9,9,9,10,10,10,10,11,11
Hesse,7,7,8,7,7,7,7,7,7,7,8,8,8,8,8,8,8,8,9,9,9,9,9,9,9
Mecklenburg-Western Pomerania,2,2,2,2,2,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,5
Lower Saxony,4,4,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,7,7,7,7,7,7,7,8
North Rhine-Westphalia,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,7
Rhineland-Palatinate,4,4,5,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,6,5,6,6,6,7,7
Saarland,2,3,3,3,3,3,3,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5,6,6,6
Saxony,4,5,5,5,5,5,5,5,5,6,6,6,6,7,7,7,7,7,7,8,8,8,8,8,9
Saxony-Anhalt,3,3,3,2,3,3,3,3,3,3,3,3,3,3,4,4,4,3,3,4,4,4,4,4,4
Schleswig-Holstein,3,3,3,3,3,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4
Thuringia,3,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,6,6,6,6,7,7
"Germany, total 2)",6,6,6,6,6,6,6,6,6,6,6,7,7,7,7,7,7,8,8,8,9,9,9,9,9
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"Source: Federal Statistical Office, special evaluation; German Centre for Higher Education Research and Science Studies, calculations",,,,,,,,,,,,,,,,,,,,,,,,,
This table also appears in the Federal Report on Research and Innovation as Table 19.,,,,,,,,,,,,,,,,,,,,,,,,,
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Notes:,,,,,,,,,,,,,,,,,,,,,,,,,
"1) Data basis: R&D personnel in full-time equivalents (source: special evaluation of the Federal Statistical Office). In even-numbered years, allocation to the federal states on a percentage basis according to the shares from the previous year. Annual average of the population based on 2011 Census, date of calculations August 2023/February 2024 (source: Working group ""Regional Accounts"", ""Reihe 1, Länderergebnisse Band 1"").",,,,,,,,,,,,,,,,,,,,,,,,,
2) Includes personnel which can not be distributed to Länder.,,,,,,,,,,,,,,,,,,,,,,,,,
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"Results of the ICE-BMBF's ICE-Database of the Federal Ministry of Education and Research (BMBF) (ICE = Information, Controlling, Entscheidung)",,,,,,,,,,,,,,,,,,,,,,,,,
"A system of the German Centre for Higher Education Research and Science Studies (DZHW), http://www.dzhw.eu/en/index_html",,,,,,,,,,,,,,,,,,,,,,,,,
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"Last update: July 11, 2024",,,,,,,,,,,,,,,,,,,,,,,,,
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This work is licensed under a Data licence Germany attribution 2.0.,,,,,,,,,,,,,,,,,,,,,,,,,
(https://www.govdata.de/dl-de/by-2-0),,,,,,,,,,,,,,,,,,,,,,,,,