Lives Saved
- 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
- 104,563 of all deaths were among males
- 48,796 of all deaths were among those aged 40-44
- 1,912 of all deaths were among men aged 40-44
- 31,047 of all deaths were from Unknown Causes
- 16,211 of male deaths were from Unknown Causes
- 669 deaths from Unknown Causes were among those aged 40-44
669 deaths from Unknown Causes were among men aged 40-44
2022 vs New Normal™ for men aged 40-44 in New York
- 669 of 1,912 total deaths were from Unknown Causes
- 34.99% of all deaths were from Unknown Causes
- This is down 2% compared to Old Normal rates.
- 679 of 1,468 total deaths would have been expected under Old Normal conditions.
- 10 fewer than expected deaths from Unknown Causes in 2022.
- 444 excess All Cause deaths in 2022.
- 3 fewer than expected deaths from Unknown Causes (2015-2022)
- 805 excess All Cause deaths over the first 8 years of New York’s New Normal™.
- To show this year’s deaths from Unknown Causes are down 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 men aged 40-44 were there?” and
- “How many of them died from Unknown Causes?”
The following 2 charts provide this information:
Deaths – Unknown Causes – Male – Aged 40-44 | New York, United-states
Population – Male – Aged 40-44 – [2000-2022] | New York, United-states
From the charts, we can see that in 2022, 669 of 611,342 men aged 40-44 living in New York died from Unknown Causes.
669 ÷ 611,342 = 0.00109 (2022 CDR)
The table shows there were a total of 11,660 deaths from Unknown Causes among 10,491,131 men aged 40-44 living in New York in the 15 years immediately prior to the New Normal™.
11,660 ÷ 10,491,131 = 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
611,342 X 0.00111 = 679 expected deaths
The difference between actual and expected deaths shows lives saved or lost:
669 – 679 = -10
Dividing the actual deaths by the expected deaths gives us the comparative rates:
669 ÷ 679 = 0.9758
This reveals 10 lives saved and is 97.58% of what we expected (a decrease of 2%) in deaths from Unknown Causes among men aged 40-44 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):
4,551 ÷ 4,082,646 = 0.00111 (5-yr CDR)
611,342(2022 pop) X 0.00111 = 681 expected deaths
The difference between actual and expected deaths:
669 – 681 = -12 or 12 lives saved
Divide actual deaths by expected deaths:
669 ÷ 681 = 0.9730 or a decrease of 3%
for deaths from Unknown Causes among men aged 40-44 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
4,693,988 X 0.00111 = 5,217 expected deaths
The difference between actual and expected deaths:
5220 – 5,217 = 3 or 3 lives saved
Dividing the actual deaths by the expected deaths:
5,220 ÷ 5,217 = 0.9917 or a decrease of 1%
in deaths from Unknown Causes among men aged 40-44 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 male 40-44 from Unknown Causes
×