2022 Deaths – All Causes – Female – Ages 30-34 | California, United States

1,603
Excess Deaths
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  1. Total (1,165)

    2022 vs New Normal™ for women aged 30-34 in California

    1. 1,165 of 1,165 total deaths were from All Causes
    2. 100.00% of all deaths were from All Causes
    3. This is up 48% compared to Old Normal rates.
    4. 774 of 774 total deaths would have been expected under Old Normal conditions.
    5. 391 excess deaths from All Causes in 2022.
    6. 1,603 excess deaths from All Causes (2015-2022)
    1. To show this year’s deaths from All Causes are up 48% 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 aged 30-34 were there?” and
    • “How many of them died from All Causes?”

    The following 2 charts provide this information:

    Deaths – All Causes – Female – Aged 30-34 | California, United-states

    Graph showing Deaths - All Causes - Female - Aged 30-34 | California, United-states

    Population – Female – Aged 30-34 – [2000-2022] | California, United-states

    Graph showing Population - Female - Aged 30-34 - [2000-2022] | California, United-states

    From the charts, we can see that in 2022, 1,165 of 1,446,181 women aged 30-34 living in California died from All Causes.

    1,165 ÷ 1,446,181 = 0.00081 (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 aged 30-34 All Causes
    Year
    Pop
    Died
    From
    |2000
    1,303,166
    680
    680
    |2001
    1,324,879
    745
    745
    |2002
    1,326,750
    788
    788
    |2003
    1,319,016
    735
    735
    |2004
    1,298,333
    741
    741
    |Year
    Pop
    Died
    From

    |2005
    1,263,443
    658
    658
    |2006
    1,234,424
    684
    684
    |2007
    1,224,203
    669
    669
    |2008
    1,228,822
    631
    631
    |2009
    1,249,089
    685
    685
    |Year
    Pop
    Died
    From

    |2010
    1,269,121
    624
    624
    |2011
    1,296,888
    661
    661
    |2012
    1,321,501
    681
    681
    |2013
    1,346,427
    694
    694
    |2014
    1,374,548
    697
    697
     
     
     
     

     
     
     
     

    Cumulative:
    Population
    Deaths
    All Causes

    Totals:
    19,380,610
    10,373
    10,373

    The table shows there were a total of 10,373 deaths from All Causes among 19,380,610 women aged 30-34 living in California in the 15 years immediately prior to the New Normal™.

    10,373 ÷ 19,380,610 = 0.00054 (Old Normal CDR)

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

    2022 pop X Old Normal CDR = expected deaths

    1,446,181 X 0.00054 = 774 expected deaths

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

    1,165774 = 391

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

    1,165 ÷ 774 = 1.4775

    This reveals 391 lives lost and is 147.75% of what we expected (an increase of 48%) in deaths from All Causes among women aged 30-34 living in California in 2022, as compared to the Old Normal.

    5yr CDR (2017-2021)

    Year
    Pop
    Died
    From

    |2017
    1,405,834
    808
    808
    |2018
    1,414,252
    842
    842
    |2019
    1,432,403
    909
    909
    |2020
    1,453,668
    1,139
    1,139
    |2021
    1,458,475
    1,255
    1,255
    Total:
    9,940,859
    6,533
    6,533

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

    6,533 ÷ 9,940,859 = 0.00066 (5-yr CDR)

    1,446,181(2022 pop) X 0.00066 = 950 expected deaths

    The difference between actual and expected deaths:

    1,165950 = 215 or 215 lives lost

    Divide actual deaths by expected deaths:

    1,165 ÷ 950 = 1.2074 or an increase of 21%

    for deaths from All Causes among women aged 30-34 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

    11,387,040 X 0.00054 = 6,095 expected deaths

    The difference between actual and expected deaths:

    76986,095 = 1,603 or 1,603 lives lost

    Dividing the actual deaths by the expected deaths:

    7,698 ÷ 6,095 = 1.2399 or an increase of 24%

    in deaths from All Causes among women aged 30-34 living in California in the New Normal™, as compared to the Old Normal.

    New Normal (2015-2022)

    Year
    Pop
    Died
    From
    |2015
    1,386,471
    757
    757
    |2016
    1,389,756
    823
    823
    |2017
    1,405,834
    808
    808
    |2018
    1,414,252
    842
    842
    |2019
    1,432,403
    909
    909
    |2020
    1,453,668
    1,139
    1,139
    |2021
    1,458,475
    1,255
    1,255
    |2022
    1,446,181
    1,165
    1,165
    Total:
    11,387,040
    7,698
    7,698

    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 30-34 from All Causes

    Graph showing Deaths/100,000 female 30-34 from All Causes