# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Hamburg
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# Version  : 2025-03-09/2304
# 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
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# Datum, Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt
2023-04-01, 150.000, 200.000, 200.000, 175.000
2023-04-02, 175.000, 66.667, 25.000, 90.909
2023-04-03, -39.623, -36.508, -45.455, -40.351
2023-04-04, -28.125, 20.000, -12.000, -14.035
2023-04-05, -36.000, -32.000, -17.391, -30.612
2023-04-06, 0.000, -23.529, 18.182, -3.125
2023-04-07, -94.444, -76.471, -100.000, -92.405
2023-04-08, -80.000, -66.667, -33.333, -63.636
2023-04-09, -90.909, -100.000, -100.000, -95.238
2023-04-10, -93.750, -97.500, -86.667, -93.137
2023-04-11, 4.348, 6.667, 122.727, 31.633
2023-04-12, 28.125, 5.882, -15.789, 10.294
2023-04-13, 36.111, 69.231, 53.846, 46.774
2023-04-14, 3250.000, 675.000, Infinity, 2033.333
2023-04-15, 200.000, 0.000, 50.000, 75.000
2023-04-16, 700.000, Infinity, Infinity, 1700.000
2023-04-17, 1100.000, 1900.000, 550.000, 914.286
2023-04-18, -18.750, -53.125, -59.184, -42.636
2023-04-19, -41.463, -11.111, -18.750, -29.333
2023-04-20, -59.184, -45.455, -15.000, -46.154
2023-04-21, -73.134, -83.871, -55.172, -71.875
2023-04-22, -66.667, -100.000, -66.667, -71.429
2023-04-23, 12.500, -33.333, 50.000, 5.556
2023-04-24, 4.167, 0.000, -23.077, -8.451
2023-04-25, 7.692, 33.333, -25.000, 4.054
2023-04-26, -4.167, -31.250, -38.462, -20.755
2023-04-27, 10.000, -33.333, -41.176, -18.367
2023-04-28, -11.111, 140.000, -53.846, -5.556
2023-04-29, -100.000, Infinity, -100.000, -50.000
2023-04-30, -77.778, -50.000, -100.000, -78.947
2023-05-01, -100.000, -100.000, -90.000, -96.923