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 56,456 deaths in Maryland in 2022
- 37,474 of all deaths were among males
- 28,611 of all deaths were among those aged 60-64
- 2,510 of all deaths were among men aged 60-64
- 16,008 of all deaths were from Unknown Causes
- 8,334 of male deaths were from Unknown Causes
- 757 deaths from Unknown Causes were among those aged 60-64
757 deaths from Unknown Causes were among men aged 60-64
2022 vs New Normal™ for men aged 60-64 in Maryland
- 757 of 2,510 total deaths were from Unknown Causes
- 30.16% of all deaths were from Unknown Causes
- This is down 7% compared to Old Normal rates.
- 812 of 2,544 total deaths would have been expected under Old Normal conditions.
- 55 fewer than expected deaths from Unknown Causes in 2022.
- 34 fewer than expected All Cause deaths in 2022.
- 435 fewer than expected deaths from Unknown Causes (2015-2022)
- 82 excess All Cause deaths over the first 8 years of Maryland’s New Normal™.
- To show this year’s deaths from Unknown Causes are down 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 men aged 60-64 were there?” and
- “How many of them died from Unknown Causes?”
The following 2 charts provide this information:
Deaths – Unknown Causes – Male – Aged 60-64 | Maryland, United-states
Population – Male – Aged 60-64 – [2000-2022] | Maryland, United-states
From the charts, we can see that in 2022, 757 of 194,397 men aged 60-64 living in Maryland died from Unknown Causes.
757 ÷ 194,397 = 0.00389 (2022 CDR)
The table shows there were a total of 8,224 deaths from Unknown Causes among 1,969,149 men aged 60-64 living in Maryland in the 15 years immediately prior to the New Normal™.
8,224 ÷ 1,969,149 = 0.00418 (Old Normal CDR)
We can use the Old Normal rate to predict this year’s deaths:
2022 pop X Old Normal CDR = expected deaths
194,397 X 0.00418 = 812 expected deaths
The difference between actual and expected deaths shows lives saved or lost:
757 – 812 = -55
Dividing the actual deaths by the expected deaths gives us the comparative rates:
757 ÷ 812 = 0.9302
This reveals 55 lives saved and is 93.02% of what we expected (a decrease of 7%) in deaths from Unknown Causes among men aged 60-64 living in Maryland 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):
4,857 ÷ 1,254,004 = 0.00387 (5-yr CDR)
194,397(2022 pop) X 0.00387 = 753 expected deaths
The difference between actual and expected deaths:
757 – 753 = 4 or 4 lives lost
Divide actual deaths by expected deaths:
757 ÷ 753 = 1.0028 or an increase of 0%
for deaths from Unknown Causes among men aged 60-64 living in Maryland 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
1,448,401 X 0.00418 = 6,049 expected deaths
The difference between actual and expected deaths:
5614 – 6,049 = -435 or 435 lives saved
Dividing the actual deaths by the expected deaths:
5,614 ÷ 6,049 = 0.9258 or a decrease of 7%
in deaths from Unknown Causes among men aged 60-64 living in Maryland 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 60-64 from Unknown Causes
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