2022 Deaths – Unknown Causes – Female – Ages 50-54 | California, United States

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  1. Cause of death not specified (1,016)
  2. Other ill-defined and unspecified causes of mortality (36)

    2022 vs New Normal™ for women aged 50-54 in California

    1. 1,052 of 3,641 total deaths were from Unknown Causes
    2. 28.89% of all deaths were from Unknown Causes
    3. This is up 2% compared to Old Normal rates.
    4. 1,017 of 3,970 total deaths would have been expected under Old Normal conditions.
    5. 35 excess deaths from Unknown Causes in 2022.
    6. 329 fewer than expected All Cause deaths in 2022.
    7. 691 fewer than expected deaths from Unknown Causes (2015-2022)
    8. 2,629 fewer than expected All Cause deaths over the first 8 years of California’s New Normal™.
    1. To show this year’s deaths from Unknown Causes are up 2% 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 50-54 were there?” and
    • “How many of them died from Unknown Causes?”

    The following 2 charts provide this information:

    Deaths – Unknown Causes – Female – Aged 50-54 | California, United-states

    Graph showing Deaths - Unknown Causes - Female - Aged 50-54 | California, United-states

    Population – Female – Aged 50-54 – [2000-2022] | California, United-states

    Graph showing Population - Female - Aged 50-54 - [2000-2022] | California, United-states

    From the charts, we can see that in 2022, 1,052 of 1,220,937 women aged 50-54 living in California died from Unknown Causes.

    1,052 ÷ 1,220,937 = 0.00086 (2022 CDR)

    We’ll use the table below to calculate our Old Normal rate for deaths from Unknown Causes
    Old Normal (2001-2014) California female aged 50-54 Unknown Causes
    Year
    Pop
    Died
    From
    |2000
    1,019,039
    3,506
    1,015
    |2001
    1,081,662
    3,842
    1,143
    |2002
    1,090,021
    3,637
    1,034
    |2003
    1,116,442
    3,892
    969
    |2004
    1,143,798
    3,931
    1,018
    |Year
    Pop
    Died
    From

    |2005
    1,168,475
    3,970
    981
    |2006
    1,195,705
    3,980
    990
    |2007
    1,227,037
    4,029
    1,023
    |2008
    1,254,760
    4,115
    997
    |2009
    1,274,949
    4,185
    1,018
    |Year
    Pop
    Died
    From

    |2010
    1,296,009
    3,967
    1,033
    |2011
    1,313,640
    4,059
    997
    |2012
    1,321,360
    4,052
    990
    |2013
    1,327,213
    4,021
    988
    |2014
    1,342,815
    3,906
    936
     
     
     
     

     
     
     
     

    Cumulative:
    Population
    Deaths
    Unknown Causes

    Totals:
    18,172,925
    59,092
    15,132

    The table shows there were a total of 15,132 deaths from Unknown Causes among 18,172,925 women aged 50-54 living in California in the 15 years immediately prior to the New Normal™.

    15,132 ÷ 18,172,925 = 0.00083 (Old Normal CDR)

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

    2022 pop X Old Normal CDR = expected deaths

    1,220,937 X 0.00083 = 1,017 expected deaths

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

    1,0521,017 = 35

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

    1,052 ÷ 1,017 = 1.0225

    This reveals 35 lives lost and is 102.25% of what we expected (an increase of 2%) in deaths from Unknown Causes among women aged 50-54 living in California in 2022, as compared to the Old Normal.

    5yr CDR (2017-2021)

    Year
    Pop
    Died
    From

    |2017
    1,285,223
    3,626
    875
    |2018
    1,257,166
    3,432
    909
    |2019
    1,236,296
    3,306
    946
    |2020
    1,232,766
    4,040
    1,013
    |2021
    1,238,355
    4,351
    965
    Total:
    8,886,537
    26,596
    6,673

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

    6,673 ÷ 8,886,537 = 0.00075 (5-yr CDR)

    1,220,937(2022 pop) X 0.00075 = 917 expected deaths

    The difference between actual and expected deaths:

    1,052917 = 135 or 135 lives lost

    Divide actual deaths by expected deaths:

    1,052 ÷ 917 = 1.1324 or an increase of 13%

    for deaths from Unknown Causes among women aged 50-54 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

    10,107,474 X 0.00083 = 8,416 expected deaths

    The difference between actual and expected deaths:

    77258,416 = -691 or 691 lives saved

    Dividing the actual deaths by the expected deaths:

    7,725 ÷ 8,416 = 0.9070 or a decrease of 9%

    in deaths from Unknown Causes among women aged 50-54 living in California in the New Normal™, as compared to the Old Normal.

    New Normal (2015-2022)

    Year
    Pop
    Died
    From
    |2015
    1,333,089
    4,043
    1,001
    |2016
    1,303,642
    3,798
    964
    |2017
    1,285,223
    3,626
    875
    |2018
    1,257,166
    3,432
    909
    |2019
    1,236,296
    3,306
    946
    |2020
    1,232,766
    4,040
    1,013
    |2021
    1,238,355
    4,351
    965
    |2022
    1,220,937
    3,641
    1,052
    Total:
    10,107,474
    30,237
    7,725

    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 50-54 from Unknown Causes

    Graph showing Deaths/100,000 female 50-54 from Unknown Causes