2022 Deaths – All Causes – Both Sexes – Ages 65-69 | California, United States

11,010
Lives Saved
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  1. Total (27,203)

    2022 vs New Normal™ for elderly men and women aged 65-69 in California

    1. 27,203 of 27,203 total deaths were from All Causes
    2. 100.00% of all deaths were from All Causes
    3. This is down 1% compared to Old Normal rates.
    4. 27,438 of 27,438 total deaths would have been expected under Old Normal conditions.
    5. 235 fewer than expected deaths from All Causes in 2022.
    6. 11,010 fewer than expected deaths from All Causes (2015-2022)
    1. To show this year’s deaths from All Causes are down 1% 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 elderly men and women aged 65-69 were there?” and
    • “How many of them died from All Causes?”

    The following 2 charts provide this information:

    Deaths – All Causes – Both Sexes – Aged 65-69 | California, United-states

    Graph showing Deaths - All Causes - Both Sexes - Aged 65-69 | California, United-states

    Population – Both Sexes – Aged 65-69 – [2000-2022] | California, United-states

    Graph showing Population - Both Sexes - Aged 65-69 - [2000-2022] | California, United-states

    From the charts, we can see that in 2022, 27,203 of 1,974,129 elderly men and women aged 65-69 living in California died from All Causes.

    27,203 ÷ 1,974,129 = 0.01378 (2022 CDR)

    We’ll use the table below to calculate our Old Normal rate for deaths from All Causes

    Deaths/100,000 Both Sexes 65-69 from All Causes

    Graph showing Deaths/100,000 Both Sexes 65-69 from All Causes
    Old Normal (2001-2014) California Both Sexes aged 65-69 All Causes
    Year
    Pop
    Died
    From
    |2000
    984,535
    16,507
    16,507
    |2001
    993,690
    16,676
    16,676
    |2002
    1,008,072
    16,226
    16,226
    |2003
    1,033,339
    16,285
    16,285
    |2004
    1,057,084
    15,770
    15,770
    |Year
    Pop
    Died
    From

    |2005
    1,078,678
    16,015
    16,015
    |2006
    1,099,377
    15,941
    15,941
    |2007
    1,140,443
    15,697
    15,697
    |2008
    1,204,606
    16,588
    16,588
    |2009
    1,261,765
    16,640
    16,640
    |Year
    Pop
    Died
    From

    |2010
    1,303,558
    16,776
    16,776
    |2011
    1,367,343
    17,101
    17,101
    |2012
    1,488,524
    18,599
    18,599
    |2013
    1,575,136
    19,155
    19,155
    |2014
    1,664,207
    19,824
    19,824
     
     
     
     

     
     
     
     

    Cumulative:
    Population
    Deaths
    All Causes

    Totals:
    18,260,357
    253,800
    253,800

    The table shows there were a total of 253,800 deaths from All Causes among 18,260,357 elderly men and women aged 65-69 living in California in the 15 years immediately prior to the New Normal™.

    253,800 ÷ 18,260,357 = 0.01390 (Old Normal CDR)

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

    2022 pop X Old Normal CDR = expected deaths

    1,974,129 X 0.01390 = 27,438 expected deaths

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

    27,20327,438 = -235

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

    27,203 ÷ 27,438 = 0.9907

    This reveals 235 lives saved and is 99.07% of what we expected (a decrease of 1%) in deaths from All Causes among elderly men and women aged 65-69 living in California in 2022, as compared to the Old Normal.

    5yr CDR (2017-2021)

    Year
    Pop
    Died
    From

    |2017
    1,825,565
    22,906
    22,906
    |2018
    1,853,102
    22,832
    22,832
    |2019
    1,889,872
    22,631
    22,631
    |2020
    1,918,055
    28,029
    28,029
    |2021
    1,961,307
    29,954
    29,954
    Total:
    13,020,150
    170,192
    170,192

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

    170,192 ÷ 13,020,150 = 0.01307 (5-yr CDR)

    1,974,129(2022 pop) X 0.01307 = 25,805 expected deaths

    The difference between actual and expected deaths:

    27,20325,805 = 1,398 or 1,398 lives lost

    Divide actual deaths by expected deaths:

    27,203 ÷ 25,805 = 1.0534 or an increase of 5%

    for deaths from All Causes among elderly men and women aged 65-69 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

    14,994,279 X 0.01390 = 208,405 expected deaths

    The difference between actual and expected deaths:

    197395208,405 = -11,010 or 11,010 lives saved

    Dividing the actual deaths by the expected deaths:

    197,395 ÷ 208,405 = 0.9465 or a decrease of 5%

    in deaths from All Causes among elderly men and women aged 65-69 living in California in the New Normal™, as compared to the Old Normal.

    New Normal (2015-2022)

    Year
    Pop
    Died
    From
    |2015
    1,751,578
    21,598
    21,598
    |2016
    1,820,671
    22,242
    22,242
    |2017
    1,825,565
    22,906
    22,906
    |2018
    1,853,102
    22,832
    22,832
    |2019
    1,889,872
    22,631
    22,631
    |2020
    1,918,055
    28,029
    28,029
    |2021
    1,961,307
    29,954
    29,954
    |2022
    1,974,129
    27,203
    27,203
    Total:
    14,994,279
    197,395
    197,395

    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.