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),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),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),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal),Gross domestic product (nominal) ,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,1991,2000,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024 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","1,000","1,000",Share (%),Share (%),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","1,000","1,000",Share (%),Share (%),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,Billions of euros,Billions of euros,Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%),Share (%) Baden-Württemberg,9904,10359.2,10506.2,10491,10480.4,10495.5,10540.8,10600.2,10674,10798.1,10915.8,10987.7,11046.5,11085,11101.7,11113.8,11202.5,11309.8,11348.8,12.4,12.7,13,13,13.1,13.1,13.1,13.1,13.2,13.2,13.3,13.3,13.3,13.3,13.3,13.4,13.4,13.4,13.4,5175.1,5503.6,5721.3,5684,5688.9,5762.8,5846.3,5915.2,5987.5,6043.8,6122.9,6212,6297.5,6342.9,6283.5,6283.3,6361.2,6421.4,6433.8,13.3,13.8,14,13.9,13.8,13.9,13.9,14,14,14,14,14,14,14,14,13.9,13.9,14,14,243.4,312,387.5,360,389.9,412.7,421.3,432.3,448.9,468.6,483.2,506.8,526.4,536.1,516.9,555.7,595.4,631.5,650.2,15.3,14.7,15,14.4,14.9,15,15,15.1,15,15.2,15.1,15.2,15.3,15.2,15,15.1,15.1,15.1,15.1 Bavaria,11517.8,12113.9,12382.6,12370.4,12372.8,12413.4,12481.5,12561.9,12647.9,12767.5,12887.1,12964,13037,13100.7,13132.5,13158.6,13273.2,13402.2,13458.7,14.4,14.9,15.3,15.4,15.4,15.5,15.5,15.6,15.6,15.6,15.6,15.7,15.7,15.8,15.8,15.8,15.8,15.9,15.9,6060,6460.2,6703.2,6726.3,6786.5,6904.7,7021.1,7100.3,7184.4,7279.7,7398.7,7524.4,7645.5,7732.3,7682.9,7684.3,7791,7862.8,7894,15.6,16.2,16.4,16.4,16.5,16.6,16.7,16.8,16.8,16.9,16.9,17,17,17.1,17.1,17.1,17.1,17.1,17.1,264,359.9,442.7,434.9,459.3,491,504,519.9,541.7,564.1,586.9,614.3,629,651.2,634.8,675,723.6,773.6,791.6,16.6,16.9,17.1,17.4,17.6,17.9,18,18.1,18.1,18.3,18.4,18.4,18.3,18.4,18.4,18.4,18.3,18.5,18.4 Berlin,3436.2,3298.8,3265.7,3269.4,3274.2,3302.2,3350.6,3398.5,3445.8,3494.9,3547.4,3594.2,3629.2,3657.2,3666.8,3670.8,3716.4,3768.7,3791.8,4.3,4,4,4.1,4.1,4.1,4.2,4.2,4.3,4.3,4.3,4.3,4.4,4.4,4.4,4.4,4.4,4.5,4.5,1706,1619.1,1649.6,1677.6,1697.3,1712.4,1751,1784.2,1818.3,1857.1,1910,1969.5,2022.7,2071.7,2066.2,2085.5,2156.2,2190.7,2197.2,4.4,4.1,4,4.1,4.1,4.1,4.2,4.2,4.3,4.3,4.4,4.4,4.5,4.6,4.6,4.6,4.7,4.8,4.8,68.4,86.2,101,101.4,105.2,110.6,112.4,116.1,122.3,129.3,136.4,144.1,152,159.6,159,171.2,184.5,197.9,207.1,4.3,4,3.9,4.1,4,4,4,4,4.1,4.2,4.3,4.3,4.4,4.5,4.6,4.7,4.7,4.7,4.8 Brandenburg,2559.8,2580.6,2491.8,2477.8,2466.3,2457.2,2451.3,2449.4,2453.5,2471.3,2489.7,2499.3,2508,2516.9,2526.5,2534.5,2555.5,2577.4,2582.2,3.2,3.2,3.1,3.1,3.1,3.1,3,3,3,3,3,3,3,3,3,3,3,3,3,1191,1089.8,1063.3,1076.6,1081.8,1080.9,1083.5,1081.8,1082.6,1084.9,1099,1113.2,1123.9,1129.8,1122.8,1129.3,1142.3,1145.9,1145.1,3.1,2.7,2.6,2.6,2.6,2.6,2.6,2.6,2.5,2.5,2.5,2.5,2.5,2.5,2.5,2.5,2.5,2.5,2.5,19.9,45.2,56,54.8,57.4,59.4,61,62.3,65.7,66.8,68.6,72.1,74,77.2,76.2,81.2,89.5,96.4,97.5,1.2,2.1,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.1,2.2,2.2,2.2,2.2,2.2,2.3,2.3,2.3 Bremen,682.4,657.2,654.4,653.3,652.2,651.8,653.5,656.1,659.6,666.7,675.1,679.9,682,682.1,680.7,678.3,680.7,688.3,691.8,0.9,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,0.8,397.9,394.5,409.3,407.1,407.2,412.8,419.3,420.8,422.3,423.1,427.9,431.4,435.8,438.9,434.6,433.4,440.3,444.3,444.1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,19,22.5,27.9,25.5,27,27.8,29.1,29.5,30.5,31.1,31.9,32.8,33.4,33.4,32.4,35.5,38.8,40.3,41.4,1.2,1.1,1.1,1,1,1,1,1,1,1,1,1,1,0.9,0.9,1,1,1,1 Hamburg,1658.7,1672.5,1701.2,1698.8,1701.7,1711.9,1726.2,1740.3,1754.6,1775.1,1798.9,1820.5,1835.9,1844.2,1849.9,1853.2,1873,1901.1,1915.8,2.1,2.1,2.1,2.1,2.1,2.1,2.1,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.2,2.3,1022.9,1052.6,1120.8,1137.4,1148.1,1164.6,1186.8,1201.8,1211.2,1222.2,1243.5,1260.1,1279.1,1297.8,1293.6,1295.6,1324.1,1350.5,1362.2,2.6,2.6,2.7,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.8,2.9,2.9,2.9,2.9,2.9,2.9,3,61.1,78.5,97.1,94.2,97.2,98.8,101.4,106,108.3,112.9,115.2,121.4,124.3,129.9,124.2,137.6,155.7,153.7,161.9,3.8,3.7,3.7,3.8,3.7,3.6,3.6,3.7,3.6,3.7,3.6,3.6,3.6,3.7,3.6,3.7,3.9,3.7,3.8 Hesse,5797.9,6013,5982.9,5972.9,5969.3,5981.6,6005.1,6031,6069.7,6135,6194.6,6228.2,6254.5,6276.9,6290.6,6294.1,6343.2,6406,6428.9,7.2,7.4,7.4,7.4,7.4,7.5,7.5,7.5,7.5,7.5,7.5,7.5,7.5,7.6,7.6,7.6,7.6,7.6,7.6,2958.5,3120.5,3159.8,3171.2,3179.2,3217.7,3255.8,3269,3304.5,3341.7,3385.5,3440.5,3494.5,3529.9,3505.4,3515.6,3570.9,3607,3624.1,7.6,7.8,7.7,7.8,7.7,7.7,7.7,7.7,7.7,7.7,7.7,7.8,7.8,7.8,7.8,7.8,7.8,7.8,7.9,150.4,195.5,234.2,225,232.4,243.5,244.4,250.5,261.3,268.5,279.8,288,294.4,302.8,293.8,313.3,332.4,354.5,368.3,9.4,9.2,9,9,8.9,8.9,8.7,8.7,8.8,8.7,8.8,8.6,8.6,8.6,8.5,8.5,8.4,8.5,8.6 Mecklenburg-Western Pomerania,1907.2,1770,1648,1632.3,1619.9,1610.8,1603.6,1598.4,1597.8,1605.8,1611.5,1610.9,1610.4,1608.9,1609.5,1611,1619.8,1628.9,1626.4,2.4,2.2,2,2,2,2,2,2,2,2,2,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.9,836.1,767.3,750,755.6,751.8,741.3,734.8,733.7,740.9,742.9,746.4,752.9,758,761.5,756.5,757.9,761.6,762.4,757,2.2,1.9,1.8,1.8,1.8,1.8,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.7,1.6,14.4,29.7,34.6,34.4,35.4,36.9,37.3,38.3,40.1,40.8,41.8,45.1,45.3,48.2,47.3,50.2,55.7,59.2,61.2,0.9,1.4,1.3,1.4,1.4,1.3,1.3,1.3,1.3,1.3,1.3,1.4,1.3,1.4,1.4,1.4,1.4,1.4,1.4 Lower Saxony,7427.7,7843.1,7834.4,7807.2,7787,7776.5,7776.6,7784.8,7808.6,7876.7,7936.1,7954.2,7972.6,7988,7998.5,8015.2,8083.6,8151.1,8163.1,9.3,9.6,9.7,9.7,9.7,9.7,9.7,9.7,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,3300.7,3585.1,3709.2,3740.8,3766.7,3827.5,3887.4,3922.3,3956.7,3988,4036.9,4088.1,4141.3,4183,4158.4,4169.3,4217.9,4240.4,4244.1,8.5,9,9.1,9.1,9.2,9.2,9.2,9.3,9.3,9.2,9.2,9.2,9.2,9.2,9.2,9.3,9.2,9.2,9.2,145.2,185.8,225.3,216.6,229.9,243.3,249,251.8,262.9,265.5,285.3,292.6,303.8,314.5,306.7,321.1,343.6,369.1,381.3,9.1,8.7,8.7,8.7,8.8,8.9,8.9,8.8,8.8,8.6,8.9,8.8,8.9,8.9,8.9,8.7,8.7,8.8,8.9 North Rhine-Westphalia,17421.3,17856.1,17701.6,17625.1,17566.4,17545.1,17549.6,17563.1,17605,17751.8,17877.8,17901.1,17922.4,17939.9,17936.4,17925.1,18031.9,18164.8,18195.7,21.8,21.9,21.9,21.9,21.9,21.9,21.8,21.8,21.7,21.7,21.7,21.7,21.6,21.6,21.6,21.5,21.5,21.5,21.5,8072.8,8618.5,8795.4,8773.7,8804.3,8919.3,9013.7,9073.2,9149.7,9237,9335.1,9447.9,9568.3,9659.2,9592.1,9627,9771.9,9826.1,9840.3,20.8,21.6,21.5,21.4,21.4,21.5,21.4,21.4,21.4,21.4,21.4,21.3,21.3,21.3,21.3,21.4,21.4,21.4,21.4,381.6,470,570.6,549.8,565.1,588.5,594.5,605.9,630.7,651.1,666.2,693.4,716.7,731.5,717.5,754.4,806.9,851,871.9,24,22.1,22,22,21.6,21.4,21.2,21.1,21.1,21.1,20.8,20.8,20.9,20.7,20.8,20.5,20.4,20.3,20.3 Rhineland-Palatinate,3792.1,4027.9,4028.6,4011.6,3998.9,3992.1,3990.2,3992.3,4003,4032.2,4059.4,4069.9,4079.3,4089.4,4096.1,4102.4,4132.8,4166.7,4178.5,4.7,4.9,5,5,5,5,5,5,4.9,4.9,4.9,4.9,4.9,4.9,4.9,4.9,4.9,4.9,4.9,1684.2,1808.8,1907.2,1905.7,1911.1,1929,1945.4,1953.3,1968.7,1982,1998.7,2018.4,2037.9,2050.4,2028.7,2032.2,2055.5,2064.3,2061,4.3,4.5,4.7,4.7,4.7,4.6,4.6,4.6,4.6,4.6,4.6,4.6,4.5,4.5,4.5,4.5,4.5,4.5,4.5,76.6,94.7,112,109.1,115.5,120.3,123.4,126,131,135.5,139.2,143.1,146,150.5,147.8,167.8,176.9,180.6,184,4.8,4.4,4.3,4.4,4.4,4.4,4.4,4.4,4.4,4.4,4.4,4.3,4.3,4.3,4.3,4.6,4.5,4.3,4.3 Saarland,1074.5,1062.2,1019.7,1011.9,1004.8,999.9,996.1,992.5,989.9,992.3,996.1,995.4,992.3,988.7,985.4,983.2,987.5,993.5,993.3,1.3,1.3,1.3,1.3,1.3,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,484.1,517.7,520.5,517.8,520.9,526.3,527.1,522.9,522.6,523.6,529,532.7,535.4,536,528.2,524.9,526.6,526.6,522.5,1.2,1.3,1.3,1.3,1.3,1.3,1.3,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.2,1.1,1.1,21.6,25.7,32.2,29.2,30.8,32.5,32.7,32.3,33.9,34.7,35.1,36.3,36.8,37,35.5,37,40.9,42.1,42.6,1.4,1.2,1.2,1.2,1.2,1.2,1.2,1.1,1.1,1.1,1.1,1.1,1.1,1,1,1,1,1,1 Saxony,4719.5,4402,4133.2,4103.5,4077.9,4060.2,4052.2,4048.3,4050.8,4070.1,4083.3,4081.5,4079.6,4075,4064.5,4050,4064.6,4087.8,4081.7,5.9,5.4,5.1,5.1,5.1,5.1,5,5,5,5,5,4.9,4.9,4.9,4.9,4.9,4.9,4.8,4.8,2257.1,2001.2,1964.2,1955.5,1967,1970.3,1987.3,1998.8,2005.6,2000.7,2018.6,2039.8,2057.9,2064.6,2050.5,2051.5,2069.2,2074,2067.7,5.8,5,4.8,4.8,4.8,4.7,4.7,4.7,4.7,4.6,4.6,4.6,4.6,4.6,4.6,4.6,4.5,4.5,4.5,36.9,76.6,95.3,92.8,96.7,101.2,103,105.8,110.9,115.5,119.3,124.1,127.5,132.6,129.4,136.3,147.3,157.9,161.9,2.3,3.6,3.7,3.7,3.7,3.7,3.7,3.7,3.7,3.7,3.7,3.7,3.7,3.8,3.8,3.7,3.7,3.8,3.8 Saxony-Anhalt,2847.7,2614,2363.9,2334,2308.8,2287.1,2268.1,2252,2240.1,2240.5,2240.9,2229.7,2215.7,2201.6,2187.7,2175,2177.9,2183.5,2174.9,3.6,3.2,2.9,2.9,2.9,2.8,2.8,2.8,2.8,2.7,2.7,2.7,2.7,2.6,2.6,2.6,2.6,2.6,2.6,1277.9,1071.7,1027.5,1023.8,1025.2,1020.2,1015.2,1009.8,1004.3,1000.8,1002.8,1006.3,1007.3,1007,996.4,995.4,996.4,993.5,989.2,3.3,2.7,2.5,2.5,2.5,2.5,2.4,2.4,2.3,2.3,2.3,2.3,2.2,2.2,2.2,2.2,2.2,2.2,2.1,20.7,43,51.2,49,51.9,53,55.2,55.7,56.9,57.7,59.3,61.4,62.4,65.3,64.3,67.6,74.2,78.5,79.4,1.3,2,2,2,2,1.9,2,1.9,1.9,1.9,1.9,1.8,1.8,1.8,1.9,1.8,1.9,1.9,1.8 Schleswig-Holstein,2636.1,2764.7,2805.3,2801.2,2799.7,2801.2,2804.4,2811.2,2823.4,2844.8,2870.3,2885.9,2893.3,2900.2,2907.3,2916.4,2937.6,2959.5,2969.9,3.3,3.4,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,3.5,1221.2,1285.4,1308.5,1314.4,1319.1,1331.8,1341.4,1347.2,1356.7,1369.9,1390.1,1408.9,1426.4,1441.5,1437.3,1445.3,1463.1,1475,1482.2,3.1,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,3.2,51.2,64.4,74,72,73.7,76.6,79.4,80.4,83.1,85.2,87.8,93.3,95.8,100.2,99.9,105.7,117.1,122.2,126.8,3.2,3,2.9,2.9,2.8,2.8,2.8,2.8,2.8,2.8,2.7,2.8,2.8,2.8,2.9,2.9,3,2.9,2.9 Thuringia,2590.6,2421.3,2243.8,2222.1,2203.8,2188.5,2176,2165.7,2158.8,2163.7,2164.4,2154.7,2147.2,2138.3,2126.8,2114.6,2117.9,2124.6,2115.5,3.2,3,2.8,2.8,2.7,2.7,2.7,2.7,2.7,2.6,2.6,2.6,2.6,2.6,2.6,2.5,2.5,2.5,2.5,1227.6,1079.9,1041.1,1035.7,1044.1,1048.4,1049,1043.4,1039.9,1039.6,1041.1,1043.8,1046.3,1044.3,1028.8,1022.4,1026.8,1026.1,1017.8,3.2,2.7,2.5,2.5,2.5,2.5,2.5,2.5,2.4,2.4,2.4,2.4,2.3,2.3,2.3,2.3,2.2,2.2,2.2,17.2,40,48,46.2,48.9,51.7,52.3,54.3,57,58.4,60.2,62.2,63.2,64.9,63.9,66.9,71.5,76.8,78.2,1.1,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.9,1.8,1.8,1.9,1.8,1.8,1.8,1.8 "Länder, total",79973.4,81456.6,80763.5,80482.6,80284.1,80275,80425.8,80645.6,80982.5,81686.6,82348.7,82657,82905.8,83093,83160.9,83196.1,83798,84514.1,84717,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,38873,39976,40851,40903,41099,41570,42065,42378,42756,43137,43686,44290,44878,45291,44966,45053,45675,46011,46082,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,1591.6,2129.7,2589.7,2494.9,2616.1,2747.8,2800.4,2867.3,2985.2,3085.7,3196.1,3331.1,3431.1,3534.9,3449.6,3676.5,3953.9,4185.6,4305.3,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100 ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, "Source: German Centre for Higher Education Research and Science Studies, calculations; Working group ""Regional Accounts"", ""Reihe 1, Länderergebnisse Band 1""",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Notes:,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, "1) Pursuant to the European System of Accounts (ESA) 2010, 2024 revision. Date of calculations: February 2025.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 2) Annual average based on Census.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 3) Annual average.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, "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: April 14, 2025",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, This work is licensed under a Data licence Germany attribution 2.0.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, (https://www.govdata.de/dl-de/by-2-0),,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,