Lives Saved
- References
- Deaths: Data Notes
- Population: Centers for Disease Control and Prevention, National Center for Health Statistics
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- There were a total of 173,938 deaths in New York in 2022
- 99,610 of all deaths were among females
- 46,150 of all deaths were among those aged 25-29
- 396 of all deaths were among women aged 25-29
- 31,047 of all deaths were from Unknown Causes
- 14,836 of female deaths were from Unknown Causes
- 243 deaths from Unknown Causes were among those aged 25-29
243 deaths from Unknown Causes were among women aged 25-29
2022 vs New Normal™ for women aged 25-29 in New York
- 243 of 396 total deaths were from Unknown Causes
- 61.36% of all deaths were from Unknown Causes
- This is down 3% compared to Old Normal rates.
- 244 of 278 total deaths would have been expected under Old Normal conditions.
- 1 fewer than expected deaths from Unknown Causes in 2022.
- 118 excess All Cause deaths in 2022.
- 126 fewer than expected deaths from Unknown Causes (2015-2022)
- 635 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 3% 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 25-29 were there?” and
- “How many of them died from Unknown Causes?”
The following 2 charts provide this information:
Deaths – Unknown Causes – Female – Aged 25-29 | New York, United-states
Population – Female – Aged 25-29 – [2000-2022] | New York, United-states
From the charts, we can see that in 2022, 243 of 678,632 women aged 25-29 living in New York died from Unknown Causes.
243 ÷ 678,632 = 0.00036 (2022 CDR)
The table shows there were a total of 3,687 deaths from Unknown Causes among 10,243,891 women aged 25-29 living in New York in the 15 years immediately prior to the New Normal™.
3,687 ÷ 10,243,891 = 0.00036 (Old Normal CDR)
We can use the Old Normal rate to predict this year’s deaths:
2022 pop X Old Normal CDR = expected deaths
678,632 X 0.00036 = 244 expected deaths
The difference between actual and expected deaths shows lives saved or lost:
243 – 244 = -1
Dividing the actual deaths by the expected deaths gives us the comparative rates:
243 ÷ 244 = 0.9680
This reveals 1 lives saved and is 96.80% of what we expected (a decrease of 3%) in deaths from Unknown Causes among women aged 25-29 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):
1,726 ÷ 5,141,870 = 0.00034 (5-yr CDR)
678,632(2022 pop) X 0.00034 = 228 expected deaths
The difference between actual and expected deaths:
243 – 228 = 15 or 15 lives lost
Divide actual deaths by expected deaths:
243 ÷ 228 = 1.0359 or an increase of 4%
for deaths from Unknown Causes among women aged 25-29 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
5,820,502 X 0.00036 = 2,095 expected deaths
The difference between actual and expected deaths:
1969 – 2,095 = -126 or 126 lives saved
Dividing the actual deaths by the expected deaths:
1,969 ÷ 2,095 = 0.9145 or a decrease of 9%
in deaths from Unknown Causes among women aged 25-29 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 25-29 from Unknown Causes
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