2022 Deaths – Unknown Causes – Both Sexes – 45-49 | New York, United States

249
Excess Deaths
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    Categories:

  1. Cause of death not specified (1,318)
  2. Other ill-defined and unspecified causes of mortality (49)

    2022 vs New Normal™ for people aged 45-49 in New York

    1. 1,367 of 3,443 total deaths were from Unknown Causes
    2. 39.70% of all deaths were from Unknown Causes
    3. This is up 7% compared to Old Normal rates.
    4. 1,265 of 3,362 total deaths would have been expected under Old Normal conditions.
    5. 102 excess deaths from Unknown Causes in 2022.
    6. 81 excess All Cause deaths in 2022.
    7. 249 excess deaths from Unknown Causes (2015-2022)
    8. 2,067 fewer than expected All Cause deaths over the first 8 years of New York’s New Normal™.
    1. To show this year’s deaths from Unknown Causes are up 7% 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 people aged 45-49 were there?” and
    • “How many of them died from Unknown Causes?”

    The following 2 charts provide this information:

    Deaths – Unknown Causes – Both Sexes – Aged 45-49 | New York, United-states

    Graph showing Deaths - Unknown Causes - Both Sexes - Aged 45-49 | New York, United-states

    Population – Both Sexes – Aged 45-49 – [2000-2022] | New York, United-states

    Graph showing Population - Both Sexes - Aged 45-49 - [2000-2022] | New York, United-states

    From the charts, we can see that in 2022, 1,367 of 1,141,785 people aged 45-49 living in New York died from Unknown Causes.

    1,367 ÷ 1,141,785 = 0.00120 (2022 CDR)

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

    Deaths/100,000 Both Sexes 45-49 from Unknown Causes

    Graph showing Deaths/100,000 Both Sexes 45-49 from Unknown Causes
    Old Normal (2001-2014) New York Both Sexes aged 45-49 Unknown Causes
    Year
    Pop
    Died
    From
    |2000
    1,341,138
    4,565
    1,750
    |2001
    1,366,906
    4,879
    1,605
    |2002
    1,394,318
    4,686
    1,692
    |2003
    1,419,538
    4,635
    1,695
    |2004
    1,440,172
    4,463
    1,805
    |Year
    Pop
    Died
    From

    |2005
    1,458,302
    4,386
    1,734
    |2006
    1,470,367
    4,349
    1,558
    |2007
    1,468,966
    4,236
    1,471
    |2008
    1,467,841
    4,153
    1,472
    |2009
    1,469,881
    4,140
    1,615
    |Year
    Pop
    Died
    From

    |2010
    1,458,763
    3,939
    1,531
    |2011
    1,430,299
    3,769
    1,468
    |2012
    1,405,695
    3,682
    1,392
    |2013
    1,377,319
    3,473
    1,389
    |2014
    1,350,006
    3,421
    1,451
     
     
     
     

     
     
     
     

    Cumulative:
    Population
    Deaths
    Unknown Causes

    Totals:
    21,319,511
    62,776
    23,628

    The table shows there were a total of 23,628 deaths from Unknown Causes among 21,319,511 people aged 45-49 living in New York in the 15 years immediately prior to the New Normal™.

    23,628 ÷ 21,319,511 = 0.00111 (Old Normal CDR)

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

    2022 pop X Old Normal CDR = expected deaths

    1,141,785 X 0.00111 = 1,265 expected deaths

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

    1,3671,265 = 102

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

    1,367 ÷ 1,265 = 1.0706

    This reveals 102 lives lost and is 107.06% of what we expected (an increase of 7%) in deaths from Unknown Causes among people aged 45-49 living in New York in 2022, as compared to the Old Normal.

    5yr CDR (2017-2021)

    Year
    Pop
    Died
    From

    |2017
    1,290,735
    3,226
    1,430
    |2018
    1,240,014
    3,138
    1,417
    |2019
    1,196,751
    2,916
    1,423
    |2020
    1,152,921
    4,048
    1,363
    |2021
    1,165,149
    3,616
    1,339
    Total:
    8,694,722
    23,454
    9,784

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

    9,784 ÷ 8,694,722 = 0.00113 (5-yr CDR)

    1,141,785(2022 pop) X 0.00113 = 1,285 expected deaths

    The difference between actual and expected deaths:

    1,3671,285 = 82 or 82 lives lost

    Divide actual deaths by expected deaths:

    1,367 ÷ 1,285 = 1.0546 or an increase of 5%

    for deaths from Unknown Causes among people aged 45-49 living in New York 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

    9,836,507 X 0.00111 = 10,902 expected deaths

    The difference between actual and expected deaths:

    1115110,902 = 249 or 249 lives lost

    Dividing the actual deaths by the expected deaths:

    11,151 ÷ 10,902 = 1.0137 or an increase of 1%

    in deaths from Unknown Causes among people aged 45-49 living in New York in the New Normal™, as compared to the Old Normal.

    New Normal (2015-2022)

    Year
    Pop
    Died
    From
    |2015
    1,335,409
    3,300
    1,424
    |2016
    1,313,743
    3,210
    1,388
    |2017
    1,290,735
    3,226
    1,430
    |2018
    1,240,014
    3,138
    1,417
    |2019
    1,196,751
    2,916
    1,423
    |2020
    1,152,921
    4,048
    1,363
    |2021
    1,165,149
    3,616
    1,339
    |2022
    1,141,785
    3,443
    1,367
    Total:
    9,836,507
    26,897
    11,151

    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.