Tab.1.1.11,,,,,,,,
,,,,,,,,
Regional distribution of R&D expenditure in the Federal Republic of Germany (implementation) and of government R&D expenditure by the Länder (financing),,,,,,,,
,,,,,,,,
,,Implementation of R&D,Implementation of R&D,Implementation of R&D,Financing of R&D,Financing of R&D,Financing of R&D,Financing of R&D
,,Expenditure,Expenditure,Share of gross domestic product 1),Expenditure,Expenditure,Share of gross domestic product 1),Per capita of the population 2)
Land,Year,Millions of euros,Share (%),Share (%),Millions of euros,Share (%),Share (%),Euros
Baden-Württemberg,2007,15683,25.5,4.16,1139,14.1,0.3,106
Baden-Württemberg,2008,16863,25.3,4.42,1281,14.2,0.34,119
Baden-Württemberg,2009,16360,24.4,4.63,1374,14.4,0.39,128
Baden-Württemberg,2010,17049,24.4,4.45,1401,14.4,0.37,130
Baden-Württemberg,2011,19472,25.8,4.8,1485,14.5,0.37,141
Baden-Württemberg,2012,20335,25.7,4.9,1470,14.5,0.35,139
Baden-Württemberg,2013,20204,25.3,4.75,1391,13.7,0.33,131
Baden-Württemberg,2014,21469,25.5,4.85,1542,14.1,0.35,144
Baden-Württemberg,2015,22733,25.6,4.91,1652,14.6,0.36,152
Baden-Württemberg,2016,23451,25.4,4.94,1725,13.9,0.36,157
Baden-Württemberg,2017,27910,28,5.61,1744,13.7,0.35,158
Baden-Württemberg,2018,29179,27.9,5.65,1791,13.3,0.35,162
Baden-Württemberg,2019,30275,27.5,5.76,1857,13.1,0.35,167
Baden-Württemberg,2020,28758,27,5.65,1955,13.1,0.38,176
Bavaria,2007,12210,19.9,2.82,1343,16.7,0.31,107
Bavaria,2008,13210,19.8,3.02,1450,16.1,0.33,116
Bavaria,2009,13050,19.5,3.05,1547,16.2,0.36,124
Bavaria,2010,13622,19.5,3.01,1639,16.8,0.36,131
Bavaria,2011,14418,19.1,2.98,1710,16.7,0.35,137
Bavaria,2012,15306,19.3,3.08,1623,16,0.33,130
Bavaria,2013,15942,20,3.11,1683,16.5,0.33,133
Bavaria,2014,16701,19.8,3.13,1853,16.9,0.35,146
Bavaria,2015,17359,19.6,3.13,1898,16.7,0.34,148
Bavaria,2016,18059,19.6,3.13,2013,16.3,0.35,156
Bavaria,2017,18704,18.8,3.09,2060,16.2,0.34,159
Bavaria,2018,19689,18.8,3.17,2248,16.8,0.36,172
Bavaria,2019,21706,19.7,3.37,2402,17,0.37,183
Bavaria,2020,21000,19.7,3.33,2519,16.9,0.4,192
Berlin,2007,2868,4.7,3.03,543,6.7,0.57,159
Berlin,2008,3134,4.7,3.17,610,6.8,0.62,178
Berlin,2009,3349,5,3.38,625,6.5,0.63,182
Berlin,2010,3541,5.1,3.44,582,6,0.56,168
Berlin,2011,3609,4.8,3.34,585,5.7,0.54,176
Berlin,2012,3774,4.8,3.44,592,5.8,0.54,175
Berlin,2013,4021,5,3.56,588,5.8,0.52,172
Berlin,2014,4281,5.1,3.61,690,6.3,0.58,199
Berlin,2015,4411,5,3.53,725,6.4,0.58,206
Berlin,2016,4552,4.9,3.42,811,6.6,0.61,227
Berlin,2017,4758,4.8,3.37,774,6.1,0.55,214
Berlin,2018,5111,4.9,3.42,805,6,0.54,221
Berlin,2019,5237,4.8,3.33,845,6,0.54,230
Berlin,2020,5135,4.8,3.28,953,6.4,0.61,260
Brandenburg,2007,652,1.1,1.23,181,2.2,0.34,71
Brandenburg,2008,721,1.1,1.32,192,2.1,0.35,76
Brandenburg,2009,749,1.1,1.4,196,2,0.37,78
Brandenburg,2010,796,1.1,1.43,196,2,0.35,78
Brandenburg,2011,955,1.3,1.66,203,2,0.35,83
Brandenburg,2012,975,1.2,1.65,210,2.1,0.36,86
Brandenburg,2013,937,1.2,1.55,230,2.3,0.38,94
Brandenburg,2014,1006,1.2,1.58,239,2.2,0.37,97
Brandenburg,2015,1092,1.2,1.67,234,2.1,0.36,94
Brandenburg,2016,1159,1.3,1.72,273,2.2,0.4,109
Brandenburg,2017,1195,1.2,1.69,281,2.2,0.4,112
Brandenburg,2018,1220,1.2,1.68,292,2.2,0.4,116
Brandenburg,2019,1358,1.2,1.79,292,2.1,0.38,116
Brandenburg,2020,1379,1.3,1.82,307,2.1,0.41,121
Bremen,2007,587,1,2.17,94,1.2,0.35,142
Bremen,2008,658,1,2.41,116,1.3,0.42,175
Bremen,2009,661,1,2.65,116,1.2,0.46,175
Bremen,2010,705,1,2.67,117,1.2,0.44,176
Bremen,2011,752,1,2.76,127,1.2,0.46,194
Bremen,2012,755,1,2.65,124,1.2,0.44,190
Bremen,2013,793,1,2.75,133,1.3,0.46,203
Bremen,2014,852,1,2.86,140,1.3,0.47,211
Bremen,2015,873,1,2.86,140,1.2,0.46,209
Bremen,2016,912,1,2.91,149,1.2,0.48,220
Bremen,2017,909,0.9,2.81,144,1.1,0.44,211
Bremen,2018,947,0.9,2.88,156,1.2,0.47,229
Bremen,2019,1006,0.9,3.03,165,1.2,0.5,242
Bremen,2020,1196,1.1,3.72,176,1.2,0.55,259
Hamburg,2007,1667,2.7,1.82,241,3,0.26,136
Hamburg,2008,1824,2.7,1.93,325,3.6,0.34,183
Hamburg,2009,1931,2.9,2.12,400,4.2,0.44,225
Hamburg,2010,1972,2.8,2.11,352,3.6,0.38,197
Hamburg,2011,2100,2.8,2.22,349,3.4,0.37,203
Hamburg,2012,2198,2.8,2.27,360,3.5,0.37,207
Hamburg,2013,2308,2.9,2.28,350,3.4,0.35,200
Hamburg,2014,2453,2.9,2.37,351,3.2,0.34,199
Hamburg,2015,2423,2.7,2.24,338,3,0.31,189
Hamburg,2016,2513,2.7,2.27,374,3,0.34,207
Hamburg,2017,2500,2.5,2.14,368,2.9,0.32,201
Hamburg,2018,2635,2.5,2.21,424,3.2,0.36,230
Hamburg,2019,2699,2.5,2.16,423,3,0.34,229
Hamburg,2020,2651,2.5,2.21,473,3.2,0.39,255
Hesse,2007,5674,9.2,2.51,526,6.5,0.23,87
Hesse,2008,6203,9.3,2.71,651,7.2,0.28,107
Hesse,2009,6515,9.7,2.97,637,6.7,0.29,105
Hesse,2010,6775,9.7,2.99,658,6.7,0.29,108
Hesse,2011,6832,9,2.88,739,7.2,0.31,123
Hesse,2012,7174,9.1,3.02,738,7.3,0.31,123
Hesse,2013,6865,8.6,2.82,699,6.9,0.29,116
Hesse,2014,7314,8.7,2.88,731,6.7,0.29,120
Hesse,2015,7403,8.3,2.84,824,7.3,0.32,133
Hesse,2016,7752,8.4,2.86,938,7.6,0.35,151
Hesse,2017,8182,8.2,2.92,913,7.2,0.33,146
Hesse,2018,8622,8.2,3.01,956,7.1,0.33,153
Hesse,2019,9131,8.3,3.09,1034,7.3,0.35,165
Hesse,2020,8744,8.2,3.03,1047,7,0.36,166
Mecklenburg-Western Pomerania,2007,463,0.8,1.4,143,1.8,0.43,85
Mecklenburg-Western Pomerania,2008,521,0.8,1.54,172,1.9,0.51,104
Mecklenburg-Western Pomerania,2009,618,0.9,1.84,176,1.8,0.52,107
Mecklenburg-Western Pomerania,2010,689,1,1.99,195,2,0.56,119
Mecklenburg-Western Pomerania,2011,743,1,2.05,213,2.1,0.59,132
Mecklenburg-Western Pomerania,2012,770,1,2.11,242,2.4,0.66,151
Mecklenburg-Western Pomerania,2013,683,0.9,1.81,215,2.1,0.57,134
Mecklenburg-Western Pomerania,2014,732,0.9,1.86,208,1.9,0.53,130
Mecklenburg-Western Pomerania,2015,753,0.8,1.88,206,1.8,0.52,128
Mecklenburg-Western Pomerania,2016,759,0.8,1.85,216,1.7,0.53,134
Mecklenburg-Western Pomerania,2017,785,0.8,1.78,222,1.7,0.5,138
Mecklenburg-Western Pomerania,2018,810,0.8,1.83,232,1.7,0.52,144
Mecklenburg-Western Pomerania,2019,846,0.8,1.78,259,1.8,0.54,161
Mecklenburg-Western Pomerania,2020,842,0.8,1.79,260,1.7,0.55,161
Lower Saxony,2007,5156,8.4,2.39,717,8.9,0.33,90
Lower Saxony,2008,5618,8.4,2.53,788,8.8,0.36,99
Lower Saxony,2009,5539,8.3,2.61,855,8.9,0.4,108
Lower Saxony,2010,5723,8.2,2.53,860,8.8,0.38,109
Lower Saxony,2011,6469,8.6,2.7,879,8.6,0.37,113
Lower Saxony,2012,6746,8.5,2.76,874,8.6,0.36,112
Lower Saxony,2013,7009,8.8,2.83,934,9.2,0.38,120
Lower Saxony,2014,7363,8.7,2.84,957,8.7,0.37,122
Lower Saxony,2015,8867,10,3.39,993,8.8,0.38,125
Lower Saxony,2016,9156,9.9,3.26,1095,8.8,0.39,138
Lower Saxony,2017,8928,9,3.1,1193,9.4,0.41,150
Lower Saxony,2018,9316,8.9,3.13,1241,9.2,0.42,155
Lower Saxony,2019,9636,8.8,3.1,1289,9.1,0.41,161
Lower Saxony,2020,9238,8.7,3.04,1306,8.8,0.43,163
North Rhine-Westphalia,2007,9481,15.4,1.73,1516,18.8,0.28,84
North Rhine-Westphalia,2008,10226,15.4,1.82,1729,19.2,0.31,96
North Rhine-Westphalia,2009,10654,15.9,1.97,1848,19.3,0.34,103
North Rhine-Westphalia,2010,11004,15.7,1.99,1886,19.4,0.34,106
North Rhine-Westphalia,2011,11556,15.3,2,2026,19.8,0.35,115
North Rhine-Westphalia,2012,12189,15.4,2.09,2034,20.1,0.35,116
North Rhine-Westphalia,2013,11761,14.8,1.98,2097,20.6,0.35,119
North Rhine-Westphalia,2014,12555,14.9,2.03,2302,21,0.37,131
North Rhine-Westphalia,2015,12689,14.3,1.99,2345,20.7,0.37,131
North Rhine-Westphalia,2016,13231,14.4,2.03,2597,21,0.4,145
North Rhine-Westphalia,2017,14336,14.4,2.11,2704,21.3,0.4,151
North Rhine-Westphalia,2018,15189,14.5,2.16,2908,21.7,0.41,162
North Rhine-Westphalia,2019,15528,14.1,2.16,3107,22,0.43,173
North Rhine-Westphalia,2020,15237,14.3,2.15,3315,22.3,0.47,185
Rhineland-Palatinate,2007,1951,3.2,1.81,308,3.8,0.28,76
Rhineland-Palatinate,2008,2092,3.1,1.91,335,3.7,0.31,83
Rhineland-Palatinate,2009,2156,3.2,2.03,368,3.8,0.35,92
Rhineland-Palatinate,2010,2303,3.3,2.05,436,4.5,0.39,109
Rhineland-Palatinate,2011,2387,3.2,2.03,462,4.5,0.39,116
Rhineland-Palatinate,2012,2465,3.1,2.05,437,4.3,0.36,109
Rhineland-Palatinate,2013,2655,3.3,2.16,433,4.2,0.35,108
Rhineland-Palatinate,2014,2759,3.3,2.16,435,4,0.34,108
Rhineland-Palatinate,2015,3188,3.6,2.4,451,4,0.34,111
Rhineland-Palatinate,2016,3374,3.7,2.48,502,4.1,0.37,123
Rhineland-Palatinate,2017,3498,3.5,2.5,529,4.2,0.38,130
Rhineland-Palatinate,2018,3680,3.5,2.57,548,4.1,0.38,134
Rhineland-Palatinate,2019,3831,3.5,2.61,475,3.4,0.32,116
Rhineland-Palatinate,2020,3666,3.4,2.54,488,3.3,0.34,119
Saarland,2007,325,0.5,1.04,89,1.1,0.29,86
Saarland,2008,353,0.5,1.12,91,1,0.29,89
Saarland,2009,360,0.5,1.26,96,1,0.34,94
Saarland,2010,391,0.6,1.3,96,1,0.32,94
Saarland,2011,472,0.6,1.48,123,1.2,0.39,123
Saarland,2012,470,0.6,1.47,129,1.3,0.4,129
Saarland,2013,462,0.6,1.46,112,1.1,0.35,113
Saarland,2014,472,0.6,1.42,113,1,0.34,115
Saarland,2015,535,0.6,1.57,148,1.3,0.43,149
Saarland,2016,534,0.6,1.56,143,1.2,0.42,144
Saarland,2017,619,0.6,1.75,148,1.2,0.42,149
Saarland,2018,624,0.6,1.74,133,1,0.37,134
Saarland,2019,674,0.6,1.88,159,1.1,0.44,161
Saarland,2020,662,0.6,1.91,165,1.1,0.48,168
Saxony,2007,2407,3.9,2.6,527,6.5,0.57,125
Saxony,2008,2624,3.9,2.8,543,6,0.58,129
Saxony,2009,2485,3.7,2.73,554,5.8,0.61,133
Saxony,2010,2642,3.8,2.79,534,5.5,0.56,129
Saxony,2011,2787,3.7,2.8,526,5.1,0.53,130
Saxony,2012,2838,3.6,2.8,528,5.2,0.52,130
Saxony,2013,2872,3.6,2.76,559,5.5,0.54,138
Saxony,2014,2891,3.4,2.64,581,5.3,0.53,143
Saxony,2015,3099,3.5,2.73,571,5,0.5,140
Saxony,2016,3203,3.5,2.73,638,5.2,0.54,156
Saxony,2017,3400,3.4,2.79,678,5.3,0.56,166
Saxony,2018,3595,3.4,2.87,662,4.9,0.53,162
Saxony,2019,3864,3.5,2.96,724,5.1,0.56,178
Saxony,2020,3852,3.6,2.99,786,5.3,0.61,194
Saxony-Anhalt,2007,589,1,1.18,228,2.8,0.46,95
Saxony-Anhalt,2008,608,0.9,1.2,236,2.6,0.47,99
Saxony-Anhalt,2009,667,1,1.38,282,2.9,0.58,120
Saxony-Anhalt,2010,720,1,1.41,273,2.8,0.53,117
Saxony-Anhalt,2011,770,1,1.48,275,2.7,0.53,121
Saxony-Anhalt,2012,758,1,1.4,254,2.5,0.47,112
Saxony-Anhalt,2013,780,1,1.42,259,2.5,0.47,115
Saxony-Anhalt,2014,816,1,1.45,283,2.6,0.5,127
Saxony-Anhalt,2015,810,0.9,1.41,288,2.5,0.5,128
Saxony-Anhalt,2016,860,0.9,1.46,310,2.5,0.53,139
Saxony-Anhalt,2017,919,0.9,1.51,345,2.7,0.57,155
Saxony-Anhalt,2018,980,0.9,1.58,354,2.6,0.57,160
Saxony-Anhalt,2019,990,0.9,1.53,337,2.4,0.52,154
Saxony-Anhalt,2020,999,0.9,1.56,371,2.5,0.58,170
Schleswig-Holstein,2007,849,1.4,1.2,231,2.9,0.33,82
Schleswig-Holstein,2008,905,1.4,1.24,239,2.7,0.33,84
Schleswig-Holstein,2009,923,1.4,1.3,241,2.5,0.34,85
Schleswig-Holstein,2010,961,1.4,1.32,232,2.4,0.32,82
Schleswig-Holstein,2011,1080,1.4,1.42,250,2.4,0.33,89
Schleswig-Holstein,2012,1140,1.4,1.45,247,2.4,0.31,88
Schleswig-Holstein,2013,1198,1.5,1.5,221,2.2,0.28,78
Schleswig-Holstein,2014,1287,1.5,1.55,243,2.2,0.29,86
Schleswig-Holstein,2015,1277,1.4,1.51,252,2.2,0.3,88
Schleswig-Holstein,2016,1342,1.5,1.53,293,2.4,0.33,102
Schleswig-Holstein,2017,1448,1.5,1.56,298,2.3,0.32,103
Schleswig-Holstein,2018,1556,1.5,1.64,344,2.6,0.36,119
Schleswig-Holstein,2019,1657,1.5,1.66,430,3,0.43,148
Schleswig-Holstein,2020,1601,1.5,1.61,398,2.7,0.4,137
Thuringia,2007,881,1.4,1.89,227,2.8,0.49,99
Thuringia,2008,962,1.4,2.05,243,2.7,0.52,107
Thuringia,2009,986,1.5,2.19,256,2.7,0.57,114
Thuringia,2010,1041,1.5,2.18,290,3,0.61,130
Thuringia,2011,1082,1.4,2.14,288,2.8,0.57,132
Thuringia,2012,1130,1.4,2.2,285,2.8,0.55,131
Thuringia,2013,1158,1.5,2.17,289,2.8,0.54,134
Thuringia,2014,1195,1.4,2.13,276,2.5,0.49,128
Thuringia,2015,1183,1.3,2.06,279,2.5,0.49,128
Thuringia,2016,1225,1.3,2.08,302,2.4,0.51,140
Thuringia,2017,1362,1.4,2.23,318,2.5,0.52,148
Thuringia,2018,1424,1.4,2.29,326,2.4,0.52,152
Thuringia,2019,1489,1.4,2.33,339,2.4,0.53,159
Thuringia,2020,1529,1.4,2.42,374,2.5,0.59,177
"Länder, total 3)",2007,61501,100,2.46,8054,100,0.32,98
"Länder, total 3)",2008,66594,100,2.62,9002,100,0.35,110
"Länder, total 3)",2009,67078,100,2.74,9570,100,0.39,117
"Länder, total 3)",2010,70014,100,2.73,9746,100,0.38,119
"Länder, total 3)",2011,75569,100,2.81,10238,100,0.38,127
"Länder, total 3)",2012,79110,100,2.88,10146,100,0.37,126
"Länder, total 3)",2013,79729,100,2.84,10191,100,0.36,126
"Länder, total 3)",2014,84246,100,2.88,10945,100,0.37,135
"Länder, total 3)",2015,88782,100,2.93,11345,100,0.37,138
"Länder, total 3)",2016,92174,100,2.94,12379,100,0.39,150
"Länder, total 3)",2017,99554,100,3.05,12719,100,0.39,154
"Länder, total 3)",2018,104669,100,3.11,13420,100,0.4,162
"Länder, total 3)",2019,110025,100,3.17,14137,100,0.41,170
"Länder, total 3)",2020,106583,100,3.13,14893,100,0.44,179
,,,,,,,,
"Source: Federal Ministry of Education and Research, special evaluation; Federal Statistical Office (GENESIS-Online Datenbank: Fortschreibung des Bevölkerungsstandes, special evaluation); German Centre for Higher Education Research and Science Studies, calculations; Stifterverband Wissenschaftsstatistik, special evaluation; Working group ""Regional Accounts"", ""Reihe 1, Länderergebnisse Band 1""",,,,,,,,
,,,,,,,,
Notes:,,,,,,,,
1) Date of gross domestic product (GDP) calculations: August 2022/February 2023.,,,,,,,,
"2) Reference day of population data: 31 December. As of 2011, population data are based upon the 2011 Census.",,,,,,,,
3) Including non-apportionable funds.,,,,,,,,
,,,,,,,,
"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",,,,,,,,
,,,,,,,,
"Last update: May 15, 2023",,,,,,,,
,,,,,,,,
This work is licensed under a Data licence Germany attribution non-commercial 1.0.,,,,,,,,
(https://www.govdata.de/dl-de/by-nc-1-0),,,,,,,,