# Relative 7-Tage-Summen der neuen COVID-19 Verstorbenen pro 100 Tausend Einwohner in Meckl.-Vorpom.
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# Version  : 2025-03-09/2201
# 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 unbek., Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt
2022-01-01, 0.000, 0.186, 0.807, 1.117, 2.110
2022-01-02, 0.000, 0.186, 0.931, 1.117, 2.234
2022-01-03, 0.000, 0.186, 0.869, 0.993, 2.048
2022-01-04, 0.000, 0.186, 1.179, 1.117, 2.483
2022-01-05, 0.000, 0.124, 1.117, 1.303, 2.545
2022-01-06, 0.000, 0.248, 1.179, 1.490, 2.917
2022-01-07, 0.000, 0.310, 0.931, 1.676, 2.917
2022-01-08, 0.000, 0.248, 0.993, 1.862, 3.103
2022-01-09, 0.000, 0.310, 0.807, 1.924, 3.041
2022-01-10, 0.000, 0.310, 0.807, 1.862, 2.979
2022-01-11, 0.000, 0.248, 0.497, 1.676, 2.421
2022-01-12, 0.000, 0.372, 0.372, 1.241, 1.986
2022-01-13, 0.000, 0.248, 0.186, 0.993, 1.428
2022-01-14, 0.000, 0.186, 0.248, 0.621, 1.055
2022-01-15, 0.000, 0.248, 0.248, 0.497, 0.993
2022-01-16, 0.000, 0.186, 0.248, 0.497, 0.931
2022-01-17, 0.000, 0.186, 0.248, 0.434, 0.869
2022-01-18, 0.000, 0.248, 0.186, 0.497, 0.931
2022-01-19, 0.000, 0.124, 0.186, 0.621, 0.931
2022-01-20, 0.000, 0.124, 0.248, 0.497, 0.869
2022-01-21, 0.000, 0.124, 0.248, 0.497, 0.869
2022-01-22, 0.000, 0.062, 0.186, 0.683, 0.931
2022-01-23, 0.000, 0.062, 0.186, 0.621, 0.869
2022-01-24, 0.000, 0.062, 0.124, 0.807, 0.993
2022-01-25, 0.000, 0.062, 0.248, 0.745, 1.055
2022-01-26, 0.000, 0.062, 0.310, 0.621, 0.993
2022-01-27, 0.000, 0.062, 0.248, 0.683, 0.993
2022-01-28, 0.000, 0.062, 0.310, 0.931, 1.303
2022-01-29, 0.000, 0.062, 0.310, 0.683, 1.055
2022-01-30, 0.000, 0.062, 0.434, 0.683, 1.179
2022-01-31, 0.000, 0.124, 0.683, 0.559, 1.365
2022-02-01, 0.000, 0.062, 0.683, 0.621, 1.365