2022 Deaths – All Causes – Female – All Ages | California, United States

76,428
Excess Deaths
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    Categories:

  1. Total (145,909)

    2022 vs New Normal™ for women of all ages in California

    1. 145,909 of 145,909 total deaths were from All Causes
    2. 100.00% of all deaths were from All Causes
    3. This is up 17% compared to Old Normal rates.
    4. 124,354 of 124,354 total deaths would have been expected under Old Normal conditions.
    5. 21,555 excess deaths from All Causes in 2022.
    6. 76,428 excess deaths from All Causes (2015-2022)
    1. To show this year’s deaths from All Causes are up 17% compared to Old Normal rates, we need to calculate the rates for both 2022 and for the Old Normal.

    Remember, death rates are calculated to answer these questions:

    • “How many women of all ages were there?” and
    • “How many of them died from All Causes?”

    The following 2 charts provide this information:

    Deaths – All Causes – Female – Of All Ages | California, United-states

    Graph showing Deaths - All Causes - Female - Of All Ages | California, United-states

    Population – Female – Of All Ages – [2000-2022] | California, United-states

    Graph showing Population - Female - Of All Ages - [2000-2022] | California, United-states

    From the charts, we can see that in 2022, 145,909 of 19,022,343 women of all ages living in California died from All Causes.

    145,909 ÷ 19,022,343 = 0.00767 (2022 CDR)

    We’ll use the table below to calculate our Old Normal rate for deaths from All Causes
    Old Normal (2001-2014) California female of all ages All Causes
    Year
    Pop
    Died
    From
    |2000
    16,705,281
    114,774
    114,774
    |2001
    16,996,517
    117,289
    117,289
    |2002
    17,196,067
    117,004
    117,004
    |2003
    17,399,460
    119,154
    119,154
    |2004
    17,556,540
    115,536
    115,536
    |Year
    Pop
    Died
    From

    |2005
    17,668,581
    117,336
    117,336
    |2006
    17,758,845
    117,104
    117,104
    |2007
    17,862,552
    115,151
    115,151
    |2008
    18,031,155
    116,268
    116,268
    |2009
    18,202,884
    114,322
    114,322
    |Year
    Pop
    Died
    From

    |2010
    18,345,973
    115,624
    115,624
    |2011
    18,533,364
    118,374
    118,374
    |2012
    18,700,070
    119,144
    119,144
    |2013
    18,837,695
    121,212
    121,212
    |2014
    19,092,859
    119,495
    119,495
     
     
     
     

     
     
     
     

    Cumulative:
    Population
    Deaths
    All Causes

    Totals:
    268,887,843
    1,757,787
    1,757,787

    The table shows there were a total of 1,757,787 deaths from All Causes among 268,887,843 women of all ages living in California in the 15 years immediately prior to the New Normal™.

    1,757,787 ÷ 268,887,843 = 0.00654 (Old Normal CDR)

    We can use the Old Normal rate to predict this year’s deaths:

    2022 pop X Old Normal CDR = expected deaths

    19,022,343 X 0.00654 = 124,354 expected deaths

    The difference between actual and expected deaths shows lives saved or lost:

    145,909124,354 = 21,555

    Dividing the actual deaths by the expected deaths gives us the comparative rates:

    145,909 ÷ 124,354 = 1.1715

    This reveals 21,555 lives lost and is 117.15% of what we expected (an increase of 17%) in deaths from All Causes among women of all ages living in California in 2022, as compared to the Old Normal.

    5yr CDR (2017-2021)

    Year
    Pop
    Died
    From

    |2017
    19,426,623
    129,681
    129,681
    |2018
    19,425,358
    128,698
    128,698
    |2019
    19,397,812
    128,124
    128,124
    |2020
    19,318,068
    148,011
    148,011
    |2021
    19,197,518
    151,846
    151,846
    Total:
    135,314,260
    939,456
    939,456

    This is the same method used by Public Health to calculate the 5-yr CDR (Cumulative Death Rate):

    939,456 ÷ 135,314,260 = 0.00694 (5-yr CDR)

    19,022,343(2022 pop) X 0.00694 = 132,068 expected deaths

    The difference between actual and expected deaths:

    145,909132,068 = 13,841 or 13,841 lives lost

    Divide actual deaths by expected deaths:

    145,909 ÷ 132,068 = 1.1032 or an increase of 10%

    for deaths from All Causes among women of all ages living in California in 2022, as compared to the previous 5 years.

    Compare our Old Normal to the 5yr CDR. Does it tell the same story your TV does?

    Finally, the same method can also be used to compare our Old Normal rate to the New Normal™ rate:

    New Normal™ population X Old Normal rate = expected deaths

    154,336,603 X 0.00654 = 1,008,937 expected deaths

    The difference between actual and expected deaths:

    10853651,008,937 = 76,428 or 76,428 lives lost

    Dividing the actual deaths by the expected deaths:

    1,085,365 ÷ 1,008,937 = 1.0741 or an increase of 7%

    in deaths from All Causes among women of all ages living in California in the New Normal™, as compared to the Old Normal.

    New Normal (2015-2022)

    Year
    Pop
    Died
    From
    |2015
    19,250,676
    126,118
    126,118
    |2016
    19,298,205
    126,978
    126,978
    |2017
    19,426,623
    129,681
    129,681
    |2018
    19,425,358
    128,698
    128,698
    |2019
    19,397,812
    128,124
    128,124
    |2020
    19,318,068
    148,011
    148,011
    |2021
    19,197,518
    151,846
    151,846
    |2022
    19,022,343
    145,909
    145,909
    Total:
    154,336,603
    1,085,365
    1,085,365

    The world has been led to believe that a deadly pandemic swept the globe beginning in 2020, causing an increase in death rates, especially among the elderly

    The data show that death rates began to increase in 2015, immediately upon implementation of the UN’s 2030 Agenda for Sustainable Development, that young adults have experienced ever-increasing death rates since, and that death rates among the elderly have remained relatively stable.

    Return to the top of the page to select another age category.

    Deaths/100,000 female GrandTotal from All Causes

    Graph showing Deaths/100,000 female GrandTotal from All Causes