Tab.1.10.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"Population, employment and gross domestic product (regional structural data) 1)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
,Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Population 2),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Employed persons 3),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal)
,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022
Federal Land,"1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000",Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),"1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000","1,000",Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Billions of euros,Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%)
Baden-Württemberg,9904,10359.2,10506.2,10491,10480.4,10495.5,10540.8,10600.2,10674,10798.1,10915.8,10987.7,11046.5,11085,11101.7,11113.8,11236.1,12.4,12.7,13,13,13.1,13.1,13.1,13.1,13.2,13.2,13.3,13.3,13.3,13.3,13.3,13.4,13.4,5174.5,5509.3,5752.5,5718.5,5720.1,5802.6,5888.2,5963.2,6039.9,6090.6,6167.3,6252.4,6338.9,6372.7,6309.7,6308.7,6384.1,13.3,13.8,14.1,14,13.9,14,14,14.1,14.1,14.1,14.1,14.1,14.1,14.1,14,14,14,242.9,308.8,381.9,353.5,382.9,405.6,414.6,425.4,442.7,463.3,474.9,497.3,516.7,525.3,509.3,538.9,572.8,15.3,14.6,15,14.5,14.9,15.1,15.1,15.1,15.1,15.3,15.2,15.2,15.4,15.1,15,15,14.8
Bavaria,11517.8,12113.9,12382.6,12370.4,12372.8,12413.4,12481.5,12561.9,12647.9,12767.5,12887.1,12964,13037,13100.7,13132.5,13158.6,13331.1,14.4,14.9,15.3,15.4,15.4,15.5,15.5,15.6,15.6,15.6,15.6,15.7,15.7,15.8,15.8,15.8,15.9,6059.3,6460.9,6704.7,6730,6780.8,6901.7,7015.4,7099.2,7181.6,7290,7408.9,7523.3,7650.8,7733.2,7683,7687.6,7794.7,15.6,16.2,16.4,16.5,16.5,16.6,16.7,16.8,16.8,16.9,17,17,17.1,17.1,17.1,17.1,17.1,263.3,357.9,436.9,428.2,452.1,483.5,496.5,511.9,534.1,554.7,577.7,605.8,620.3,644,630.5,666.4,716.8,16.6,17,17.2,17.5,17.6,17.9,18.1,18.2,18.2,18.3,18.4,18.5,18.4,18.5,18.5,18.5,18.5
Berlin,3436.2,3298.8,3265.7,3269.4,3274.2,3302.2,3350.6,3398.5,3445.8,3494.9,3547.4,3594.2,3629.2,3657.2,3666.8,3670.8,3725.7,4.3,4,4,4.1,4.1,4.1,4.2,4.2,4.3,4.3,4.3,4.3,4.4,4.4,4.4,4.4,4.4,1706,1618.2,1645.8,1673.4,1691.8,1707.1,1744.9,1778.7,1812.3,1851.1,1902.3,1965.4,2020.6,2072,2066.3,2089.6,2160.4,4.4,4,4,4.1,4.1,4.1,4.2,4.2,4.2,4.3,4.4,4.4,4.5,4.6,4.6,4.6,4.7,68.1,85.5,99,99.2,103.1,108.1,109.8,112.9,118.5,124.9,133.2,141.3,149.4,157.1,156.8,165.5,179.4,4.3,4.1,3.9,4.1,4,4,4,4,4,4.1,4.2,4.3,4.4,4.5,4.6,4.6,4.6
Brandenburg,2559.8,2580.6,2491.8,2477.8,2466.3,2457.2,2451.3,2449.4,2453.5,2471.3,2489.7,2499.3,2508,2516.9,2526.5,2534.5,2565.7,3.2,3.2,3.1,3.1,3.1,3.1,3,3,3,3,3,3,3,3,3,3,3.1,1191.1,1090.2,1063.4,1077.3,1082,1081.5,1083.9,1082.7,1083.6,1085.7,1098.9,1114.2,1124.9,1130.6,1123.3,1132.7,1143.9,3.1,2.7,2.6,2.6,2.6,2.6,2.6,2.6,2.5,2.5,2.5,2.5,2.5,2.5,2.5,2.5,2.5,19.7,44.7,54.6,53.4,55.8,57.5,58.9,60.5,63.7,65.3,67.5,70.6,72.7,76,75.8,80.6,88.8,1.2,2.1,2.1,2.2,2.2,2.1,2.1,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.3
Bremen,682.4,657.2,654.4,653.3,652.2,651.8,653.5,656.1,659.6,666.7,675.1,679.9,682,682.1,680.7,678.3,680.1,0.9,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,397.8,393.9,406.5,403.9,403.5,409.1,415.3,416.5,417.7,418.3,422,427.2,435.8,438.6,434.4,434.8,441,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,18.9,22.3,27.3,24.9,26.4,27.2,28.5,28.8,29.8,30.5,31.4,32.4,32.9,33.2,32.2,35.2,38.7,1.2,1.1,1.1,1,1,1,1,1,1,1,1,1,1,1,0.9,1,1
Hamburg,1658.7,1672.5,1701.2,1698.8,1701.7,1711.9,1726.2,1740.3,1754.6,1775.1,1798.9,1820.5,1835.9,1844.2,1849.9,1853.2,1875.2,2.1,2.1,2.1,2.1,2.1,2.1,2.1,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,1022.9,1051.3,1114.8,1131,1140.4,1156.8,1178.1,1193.4,1202.3,1211.6,1235,1255.7,1273.8,1293.9,1292,1291.8,1319.9,2.6,2.6,2.7,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.9,2.9,2.9,2.9,61.1,77.8,94.5,91.1,93.6,94.7,97,101.1,103.4,108.2,110.5,116.6,119,124.9,119.9,130.9,144.2,3.9,3.7,3.7,3.7,3.7,3.5,3.5,3.6,3.5,3.6,3.5,3.6,3.5,3.6,3.5,3.6,3.7
Hesse,5797.9,6013,5982.9,5972.9,5969.3,5981.6,6005.1,6031,6069.7,6135,6194.6,6228.2,6254.5,6276.9,6290.6,6294.1,6371.3,7.2,7.4,7.4,7.4,7.4,7.5,7.5,7.5,7.5,7.5,7.5,7.5,7.5,7.6,7.6,7.6,7.6,2958.1,3120.6,3161.9,3174.1,3178.8,3219.5,3256.6,3271.4,3306.8,3341.5,3385,3446.2,3497.9,3531.6,3504.3,3507.1,3552.8,7.6,7.8,7.7,7.8,7.7,7.7,7.8,7.7,7.7,7.7,7.8,7.8,7.8,7.8,7.8,7.8,7.8,150.3,193.6,229.2,219.4,226.7,236.9,238,243.5,253.8,260.3,271.2,280.1,286.1,295.8,288.1,303.3,323.4,9.5,9.2,9,9,8.8,8.8,8.7,8.7,8.7,8.6,8.6,8.6,8.5,8.5,8.5,8.4,8.4
Mecklenburg-Western Pomerania,1907.2,1770,1648,1632.3,1619.9,1610.8,1603.6,1598.4,1597.8,1605.8,1611.5,1610.9,1610.4,1608.9,1609.5,1611,1627.5,2.4,2.2,2,2,2,2,2,2,2,2,2,1.9,1.9,1.9,1.9,1.9,1.9,836.2,766.7,747.6,752.8,748.3,737.4,730.4,729.1,736.2,739,740.7,750.3,757.3,762.3,756,757.2,761.8,2.2,1.9,1.8,1.8,1.8,1.8,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,14.3,29.3,33.9,33.6,34.7,36.2,36.4,37.6,39.4,40.1,41.1,44.2,44.3,47.6,46.9,49.9,53.4,0.9,1.4,1.3,1.4,1.4,1.3,1.3,1.3,1.3,1.3,1.3,1.4,1.3,1.4,1.4,1.4,1.4
Lower Saxony,7427.7,7843.1,7834.4,7807.2,7787,7776.5,7776.6,7784.8,7808.6,7876.7,7936.1,7954.2,7972.6,7988,7998.5,8015.2,8114.8,9.3,9.6,9.7,9.7,9.7,9.7,9.7,9.7,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.7,3300.7,3581.1,3690.5,3722.1,3740.8,3803,3858.5,3893.9,3926.2,3959.2,4012.1,4055.4,4111.3,4151.1,4114.9,4117.9,4167,8.5,9,9,9.1,9.1,9.2,9.2,9.2,9.2,9.2,9.2,9.2,9.2,9.2,9.2,9.2,9.1,144.4,183.7,221.9,212.4,225.8,239.7,244.8,247.9,259.1,261.4,280.6,287.9,297.6,310.7,303.7,315.7,339.4,9.1,8.7,8.7,8.7,8.8,8.9,8.9,8.8,8.8,8.6,9,8.8,8.8,8.9,8.9,8.8,8.8
North Rhine-Westphalia,17421.3,17856.1,17701.6,17625.1,17566.4,17545.1,17549.6,17563.1,17605,17751.8,17877.8,17901.1,17922.4,17939.9,17936.4,17925.1,18077.8,21.8,21.9,21.9,21.9,21.9,21.9,21.8,21.8,21.7,21.7,21.7,21.7,21.6,21.6,21.6,21.5,21.5,8072.6,8615.7,8786.4,8772.2,8787.7,8908.6,8995.9,9057.3,9128.2,9223.4,9318.7,9426.6,9558.3,9652.6,9577,9599.7,9726.9,20.8,21.6,21.5,21.4,21.4,21.4,21.4,21.4,21.4,21.4,21.3,21.3,21.3,21.3,21.3,21.3,21.3,379.9,465.2,561.8,539.9,554.2,577.1,582.7,594.4,617.5,637.3,653.4,679,703.1,717.4,707.2,742.8,793.8,24,22.1,22.1,22.1,21.6,21.4,21.2,21.1,21.1,21.1,20.8,20.8,20.9,20.7,20.8,20.6,20.5
Rhineland-Palatinate,3792.1,4027.9,4028.6,4011.6,3998.9,3992.1,3990.2,3992.3,4003,4032.2,4059.4,4069.9,4079.3,4089.4,4096.1,4102.4,4150.7,4.7,4.9,5,5,5,5,5,5,4.9,4.9,4.9,4.9,4.9,4.9,4.9,4.9,4.9,1683.9,1808,1904.3,1903.2,1905,1925,1940.4,1949.8,1965.1,1983.2,1999.7,2014.6,2031.6,2046.2,2021.7,2023.6,2045.6,4.3,4.5,4.7,4.7,4.6,4.6,4.6,4.6,4.6,4.6,4.6,4.6,4.5,4.5,4.5,4.5,4.5,76.3,93.6,109.5,106.2,112.5,117.3,120.5,123,127.5,132.9,136.3,140.1,143.1,147,144.6,162.2,171.7,4.8,4.4,4.3,4.3,4.4,4.4,4.4,4.4,4.4,4.4,4.3,4.3,4.3,4.2,4.2,4.5,4.4
Saarland,1074.5,1062.2,1019.7,1011.9,1004.8,999.9,996.1,992.5,989.9,992.3,996.1,995.4,992.3,988.7,985.4,983.2,989.2,1.3,1.3,1.3,1.3,1.3,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,484.1,517.6,519.8,517.2,519.4,525.1,525.6,521.7,521.4,523.2,528.5,532.3,535,535.1,525.6,522,524.3,1.2,1.3,1.3,1.3,1.3,1.3,1.3,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,21.4,25.3,31.5,28.5,30,31.8,32,31.7,33.3,34,34.3,35.3,35.9,35.9,34.6,36.1,38.5,1.4,1.2,1.2,1.2,1.2,1.2,1.2,1.1,1.1,1.1,1.1,1.1,1.1,1,1,1,1
Saxony,4719.5,4402,4133.2,4103.5,4077.9,4060.2,4052.2,4048.3,4050.8,4070.1,4083.3,4081.5,4079.6,4075,4064.5,4050,4080,5.9,5.4,5.1,5.1,5.1,5.1,5,5,5,5,5,4.9,4.9,4.9,4.9,4.9,4.9,2257.1,2002.1,1968.1,1959.5,1970.6,1974.7,1991.1,2002.8,2009.7,2005.4,2021.7,2042.7,2060.9,2072.3,2056.2,2055.1,2071.7,5.8,5,4.8,4.8,4.8,4.8,4.7,4.7,4.7,4.7,4.6,4.6,4.6,4.6,4.6,4.6,4.5,36.6,75.6,93.6,90.8,94.8,99.4,101.3,104.1,109.3,113.6,117.2,121.8,125.2,130.3,128.7,135,146.5,2.3,3.6,3.7,3.7,3.7,3.7,3.7,3.7,3.7,3.8,3.7,3.7,3.7,3.8,3.8,3.7,3.8
Saxony-Anhalt,2847.7,2614,2363.9,2334,2308.8,2287.1,2268.1,2252,2240.1,2240.5,2240.9,2229.7,2215.7,2201.6,2187.7,2175,2186.2,3.6,3.2,2.9,2.9,2.9,2.8,2.8,2.8,2.8,2.7,2.7,2.7,2.7,2.6,2.6,2.6,2.6,1277.9,1072.1,1029.4,1025.6,1026.7,1022,1016.9,1011.7,1006.3,1002.9,1003.5,1004.8,1004.5,1005.3,994,993.1,994.7,3.3,2.7,2.5,2.5,2.5,2.5,2.4,2.4,2.4,2.3,2.3,2.3,2.2,2.2,2.2,2.2,2.2,20.5,42.5,50.6,48.3,51.1,52,54.1,55,56.3,57.4,59,60.9,62,64.7,64.2,68.3,75.4,1.3,2,2,2,2,1.9,2,2,1.9,1.9,1.9,1.9,1.8,1.9,1.9,1.9,2
Schleswig-Holstein,2636.1,2764.7,2805.3,2801.2,2799.7,2801.2,2804.4,2811.2,2823.4,2844.8,2870.3,2885.9,2893.3,2900.2,2907.3,2916.4,2946,3.3,3.4,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,1221.2,1283.4,1300.3,1305.7,1307.4,1320.5,1328.2,1334.2,1342.8,1356.2,1375.5,1394.8,1416.5,1433.9,1430.4,1439.6,1456.7,3.1,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.1,3.1,3.2,3.2,3.2,3.2,3.2,3.2,3.2,51,63.7,73.3,71.3,72.9,75.9,78.8,80,82.9,84.8,87.5,92.6,95,99.6,99.7,104.7,112.8,3.2,3,2.9,2.9,2.8,2.8,2.9,2.8,2.8,2.8,2.8,2.8,2.8,2.9,2.9,2.9,2.9
Thuringia,2590.6,2421.3,2243.8,2222.1,2203.8,2188.5,2176,2165.7,2158.8,2163.7,2164.4,2154.7,2147.2,2138.3,2126.8,2114.6,2122.4,3.2,3,2.8,2.8,2.7,2.7,2.7,2.7,2.7,2.6,2.6,2.6,2.6,2.6,2.6,2.5,2.5,1227.6,1080.2,1041.9,1036.5,1044.7,1049.3,1049.7,1044.5,1041,1040.9,1041.2,1045,1047.8,1045.5,1026.2,1019.4,1024.6,3.2,2.7,2.6,2.5,2.5,2.5,2.5,2.5,2.4,2.4,2.4,2.4,2.3,2.3,2.3,2.3,2.2,17,39.5,47,45.1,47.8,50.6,51.4,53.4,56.2,57.5,59,61.2,62.2,63.8,63.2,66.4,71.4,1.1,1.9,1.8,1.8,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.8,1.8,1.9,1.8,1.8
"Länder, total",79973.4,81456.6,80763.5,80482.6,80284.1,80275,80425.8,80645.6,80982.5,81686.6,82348.7,82657,82905.8,83093,83160.9,83196.1,84079.8,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,38871,39971,40838,40903,41048,41544,42019,42350,42721,43122,43661,44251,44866,45277,44915,44980,45570,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,1585.8,2109.1,2546.5,2445.7,2564.4,2693.6,2745.3,2811.4,2927.4,3026.2,3134.7,3267.2,3365.5,3473.3,3405.4,3601.8,3867.1,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100
   Of which: Eastern German Länder and Berlin,18060.9,17086.8,16146.5,16039.1,15950.9,15906,15901.9,15912.2,15946.9,16046.3,16137.3,16170.3,16190,16197.7,16181.7,16155.7,16307.5,22.6,21,20,19.9,19.9,19.8,19.8,19.7,19.7,19.6,19.6,19.6,19.5,19.5,19.5,19.4,19.4,8495.9,7629.3,7496.1,7525.1,7564.2,7572,7616.8,7649.5,7689,7724.9,7808.4,7922.4,8016.1,8088,8022,8047,8157.1,21.9,19.1,18.4,18.4,18.4,18.2,18.1,18.1,18,17.9,17.9,17.9,17.9,17.9,17.9,17.9,17.9,176.2,317.1,378.6,370.4,387.2,403.8,411.9,423.6,443.5,458.8,477,500.1,515.9,539.6,535.6,565.6,615,11.1,15,14.9,15.1,15.1,15,15,15.1,15.2,15.2,15.2,15.3,15.3,15.5,15.7,15.7,15.9
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"Source: German Centre for Higher Education Research and Science Studies, calculations; Working group ""Regional Accounts"", ""Reihe 1, Länderergebnisse Band 1""",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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Notes:,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"1) Pursuant to the European System of Accounts (ESA) 2010, 2019 revision. Date of calculations: August 2022/February 2023.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
2) Annual average based on 2011 Census. For 2022 Länder results as of 30 June.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
3) Annual average.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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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: April 5, 2023",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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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),,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,