Excess Deaths
- References
- Deaths: Data Notes
- Population: Centers for Disease Control and Prevention, National Center for Health Statistics
Quick Links
- There were a total of 173,938 deaths in New York in 2022
- 99,610 of all deaths were among females
- 50,191 of all deaths were among those aged 50-54
- 1,943 of all deaths were among women aged 50-54
- 31,047 of all deaths were from Unknown Causes
- 14,836 of female deaths were from Unknown Causes
- 759 deaths from Unknown Causes were among those aged 50-54
759 deaths from Unknown Causes were among women aged 50-54
2022 vs New Normal™ for women aged 50-54 in New York
- 759 of 1,943 total deaths were from Unknown Causes
- 39.06% of all deaths were from Unknown Causes
- This is up 9% compared to Old Normal rates.
- 688 of 2,101 total deaths would have been expected under Old Normal conditions.
- 71 excess deaths from Unknown Causes in 2022.
- 158 fewer than expected All Cause deaths in 2022.
- 306 excess deaths from Unknown Causes (2015-2022)
- 1,007 fewer than expected All Cause deaths over the first 8 years of New York’s New Normal™.
- To show this year’s deaths from Unknown Causes are up 9% 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 | New York, United-states
Population – Female – Aged 50-54 – [2000-2022] | New York, United-states
From the charts, we can see that in 2022, 759 of 636,545 women aged 50-54 living in New York died from Unknown Causes.
759 ÷ 636,545 = 0.00119 (2022 CDR)
The table shows there were a total of 11,299 deaths from Unknown Causes among 10,461,342 women aged 50-54 living in New York in the 15 years immediately prior to the New Normal™.
11,299 ÷ 10,461,342 = 0.00108 (Old Normal CDR)
We can use the Old Normal rate to predict this year’s deaths:
2022 pop X Old Normal CDR = expected deaths
636,545 X 0.00108 = 688 expected deaths
The difference between actual and expected deaths shows lives saved or lost:
759 – 688 = 71
Dividing the actual deaths by the expected deaths gives us the comparative rates:
759 ÷ 688 = 1.0938
This reveals 71 lives lost and is 109.38% of what we expected (an increase of 9%) in deaths from Unknown Causes among women aged 50-54 living in New York in 2022, as compared to the Old Normal.
This is the same method used by Public Health to calculate the 5-yr CDR (Cumulative Death Rate):
5,411 ÷ 4,792,797 = 0.00113 (5-yr CDR)
636,545(2022 pop) X 0.00113 = 719 expected deaths
The difference between actual and expected deaths:
759 – 719 = 40 or 40 lives lost
Divide actual deaths by expected deaths:
759 ÷ 719 = 1.0469 or an increase of 5%
for deaths from Unknown Causes among women aged 50-54 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
5,429,342 X 0.00108 = 5,864 expected deaths
The difference between actual and expected deaths:
6170 – 5,864 = 306 or 306 lives lost
Dividing the actual deaths by the expected deaths:
6,170 ÷ 5,864 = 1.0425 or an increase of 4%
in deaths from Unknown Causes among women aged 50-54 living in New York in the New Normal™, as compared to the Old Normal.
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
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