# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Hamburg # # Version : 2025-03-09/2010 # Autor : Dietmar Lippold # Projekt : https://covid19-de-stats.sourceforge.io/ # Lizenz : dl-de/by-2-0, https://www.govdata.de/dl-de/by-2-0 # Grundlage: Daten vom Robert Koch-Institut (RKI), dl-de/by-2-0 # # Datum, Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt 2020-10-01, -10.976, -42.857, -100.000, -14.444 2020-10-02, 24.138, 177.778, Infinity, 60.417 2020-10-03, -4.478, 133.333, 100.000, 9.333 2020-10-04, 44.444, 200.000, -50.000, 50.000 2020-10-05, 70.588, 150.000, -33.333, 70.690 2020-10-06, -3.614, -22.222, Infinity, 3.261 2020-10-07, 5.435, -33.333, 200.000, 3.922 2020-10-08, 56.164, 125.000, Infinity, 64.935 2020-10-09, 3.704, -80.000, -95.238, -23.377 2020-10-10, -15.625, -64.286, -100.000, -28.049 2020-10-11, 18.462, -44.444, -100.000, 9.333 2020-10-12, 52.874, 0.000, -100.000, 44.444 2020-10-13, 10.000, 14.286, -100.000, 1.053 2020-10-14, 75.258, 200.000, 66.667, 82.075 2020-10-15, 28.070, 22.222, -50.000, 25.197 2020-10-16, 31.250, 160.000, 800.000, 43.220 2020-10-17, 124.074, 180.000, Infinity, 162.712 2020-10-18, 3.896, 120.000, Infinity, 15.854 2020-10-19, 12.782, 110.000, Infinity, 22.378 2020-10-20, 128.409, 200.000, Infinity, 137.500 2020-10-21, 67.059, 44.444, 100.000, 65.803 2020-10-22, 108.219, 281.818, 1400.000, 137.107 2020-10-23, 155.102, 138.462, 0.000, 146.154 2020-10-24, 85.950, 21.429, -85.000, 58.710 2020-10-25, 130.000, 90.909, 50.000, 122.105 2020-10-26, 83.333, 66.667, 133.333, 81.714 2020-10-27, 113.930, 179.167, 400.000, 124.561 2020-10-28, 20.423, 53.846, 110.000, 26.563 2020-10-29, 41.447, -4.762, -23.333, 31.034 2020-10-30, 8.000, 35.484, 111.111, 12.019 2020-10-31, 8.889, 17.647, 133.333, 10.569 2020-11-01, 3.261, 9.524, 66.667, 5.687