SlideShare a Scribd company logo
1 of 9
Download to read offline
1
State of Michigan COVID-19 Analysis as of 4/30/2020
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
2
Purpose:
On a daily basis, the State of Michigan provides information to the public on the number of COVID-19 related cases and deaths in each county and
statewide. It also provides a demographic breakdown of the distribution of COVID-19 patients and deceased by gender, age, and race.
However, there is little information on COVID-19 in regards to the pandemic survival rate of the general population nor survival rates of COVID-19 patients
in any of the categories mentioned above. This analysis uses State data to provide a picture of the population’s survival as the pandemic winds down.
Table of Contents:
• State of Michigan – COVID-19 Map
• Summary of Findings – General Population Pandemic Survival
• Summary of Findings – COVID-19 Patient Survival Rates
• State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables By County
• State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables - Gender, Age, and Race
Sources:
• This analysis is derived strictly from and relied only on data provided by the State of Michigan, and has not been independently verified.
• All columns in pink or green, and pie charts, are calculations using data from the State's Conronavirus Data webpage https://www.michigan.gov/coronavirus/0,9753,7-406-
98163_98173---,00.html, the Michigan Department of Management and Budget, Office of the State Demographer - Michigan population by county demographics-(updated Jan
29, 2020) https://www.senate.michigan.gov/sfa/Economics/MichiganPopulationByCounty.PDF, and demographic tables by age, gender, and race from the Michigan Department
of Health and Human Services 2017 estimated population https://www.michigan.gov/mdhhs/0,5885,7-339-73970_2944_5325---,00.html
State of Michigan COVID-19 Analysis as of 4/30/2020
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
3
State of Michigan COVID-19 Analysis as of 4/30/2020: County Map
Cases Per 1,000 Residents
Zero
Less than 1
1 – 2
3 – 4
5 – 6
7 or Greater
Deaths Per 1,000 Residents
Zero
Less than 1
1 – 2
3 – 4
5 – 6
7 or Greater
Note: Although less than 1 percent of residents in every county in Michigan
except Wayne has contracted or died from COVID-19, the virus map is
presented in 1,000 person increments.
Given the relatively small population of certain counties, this creates a fair
representation for the graphic.
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
4
General Michigan Resident Population Pandemic Survival:
• Overall: 99.962% of Michiganders have not died from the pandemic
• By County: the highest impact is Wayne County with 99.898% of its residents who have not died from the pandemic.
• By Gender: Statewide, Males residents are most at risk with 99.958% who have not died from the pandemic.
• By Age: Statewide, residents 80 + Years of Age are most at risk with 99.626% who have not died from the pandemic.
• By Race: Statewide, African American residents are most at risk with 99.896% who have not died from the pandemic.
State of Michigan: COVID-19 Analysis as of 4/30/2020: Summary
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
5
State of Michigan: COVID-19 Analysis as of 4/30/2020: Summary
COVID-19 Patient Survival Rates:
• Overall: 90.8% Michiganders with COVID-19 are still surviving
• By County: Wayne County has the highest number of COVID-19 patients with 89.3% surviving.
• By Gender: Statewide, Male COVID-19 patients are most at risk with a survival rate of 89.3%.
• By Age: Statewide, COVID-19 patients 80 + Years of Age are most at risk with a survival rate of 69.5% .
• By Race: Statewide, although African American residents have the highest risk of contracting the virus, Caucasian COVID-19 patients are most at risk of
death with survival rate of 86.6%.
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
* Population By
County
2018
Total
Cases
Reported
Deaths
% of
Cases
Ending in
Death
% Cases by
Population
% Death by
Population
% of
Population
w/o Covid-
19
% of
Population
Surviving
Alcona County 10,362 4 1 25.0% 0.039% 0.010% 99.961% 99.990%
Alger County 9,097 0.0% 0.000% 0.000% 100.000% 100.000%
Allegan County 117,327 98 2 2.0% 0.084% 0.002% 99.916% 99.998%
Alpena County 28,360 82 5 6.1% 0.289% 0.018% 99.711% 99.982%
Antrim County 23,365 10 0.0% 0.043% 0.000% 99.957% 100.000%
Arenac County 15,041 24 1 4.2% 0.160% 0.007% 99.840% 99.993%
Baraga County 8,320 0.0% 0.000% 0.000% 100.000% 100.000%
Barry County 61,157 35 1 2.9% 0.057% 0.002% 99.943% 99.998%
Bay County 103,923 143 4 2.8% 0.138% 0.004% 99.862% 99.996%
Benzie County 17,753 6 0.0% 0.034% 0.000% 99.966% 100.000%
Berrien County 154,141 248 15 6.0% 0.161% 0.010% 99.839% 99.990%
Branch County 43,622 63 2 3.2% 0.144% 0.005% 99.856% 99.995%
Calhoun County 134,487 228 13 5.7% 0.170% 0.010% 99.830% 99.990%
Cass County 51,653 31 2 6.5% 0.060% 0.004% 99.940% 99.996%
Charlevoix County 26,244 13 1 7.7% 0.050% 0.004% 99.950% 99.996%
Cheboygan County 25,413 19 1 5.3% 0.075% 0.004% 99.925% 99.996%
Chippewa County 37,517 2 0.0% 0.005% 0.000% 99.995% 100.000%
Clare County 30,757 11 1 9.1% 0.036% 0.003% 99.964% 99.997%
Clinton County 79,332 118 9 7.6% 0.149% 0.011% 99.851% 99.989%
Crawford County 13,901 54 4 7.4% 0.388% 0.029% 99.612% 99.971%
Detroit 9,057 1,035 11.4%
Delta County 35,857 13 2 15.4% 0.036% 0.006% 99.964% 99.994%
Dickinson County 25,383 3 2 66.7% 0.012% 0.008% 99.988% 99.992%
Eaton County 109,826 131 6 4.6% 0.119% 0.005% 99.881% 99.995%
Emmet County 33,308 21 2 9.5% 0.063% 0.006% 99.937% 99.994%
Genesee County 406,892 1,581 188 11.9% 0.389% 0.046% 99.611% 99.954%
Gladwin County 25,337 15 1 6.7% 0.059% 0.004% 99.941% 99.996%
Gogebic County 15,096 4 1 25.0% 0.026% 0.007% 99.974% 99.993%
Grand Traverse County 92,573 19 5 26.3% 0.021% 0.005% 99.979% 99.995%
Gratiot County 40,599 13 1 7.7% 0.032% 0.002% 99.968% 99.998%
Hillsdale County 45,749 125 17 13.6% 0.273% 0.037% 99.727% 99.963%
Houghton County 36,219 2 0.0% 0.006% 0.000% 99.994% 100.000%
Huron County 31,166 17 0.0% 0.055% 0.000% 99.945% 100.000%
Ingham County 292,735 470 11 2.3% 0.161% 0.004% 99.839% 99.996%
Ionia County 64,210 76 2 2.6% 0.118% 0.003% 99.882% 99.997%
Iosco County 25,081 52 4 7.7% 0.207% 0.016% 99.793% 99.984%
Iron County 11,117 0.0% 0.000% 0.000% 100.000% 100.000%
Isabella County 70,562 61 7 11.5% 0.086% 0.010% 99.914% 99.990%
Jackson County 158,823 364 22 6.0% 0.229% 0.014% 99.771% 99.986%
Kalamazoo County 264,870 364 13 3.6% 0.137% 0.005% 99.863% 99.995%
Kalkaska County 17,824 17 2 11.8% 0.095% 0.011% 99.905% 99.989%
Kent County 653,786 1,479 33 2.2% 0.226% 0.005% 99.774% 99.995%
Keweenaw County 2,113 0.0% 0.000% 0.000% 100.000% 100.000%
Lake County 11,881 2 0.0% 0.017% 0.000% 99.983% 100.000%
Lapeer County 88,028 170 24 14.1% 0.193% 0.027% 99.807% 99.973%
Leelanau County 21,764 9 0.0% 0.041% 0.000% 99.959% 100.000%
Lenawee County 98,266 93 2 2.2% 0.095% 0.002% 99.905% 99.998%
Livingston County 191,224 337 19 5.6% 0.176% 0.010% 99.824% 99.990%
Luce County 6,283 1 0.0% 0.016% 0.000% 99.984% 100.000%
Mackinac County 10,787 6 0.0% 0.056% 0.000% 99.944% 100.000%
Macomb County 874,759 5,513 603 10.9% 0.630% 0.069% 99.370% 99.931%
Manistee County 24,528 11 0.0% 0.045% 0.000% 99.955% 100.000%
Marquette County 66,516 46 8 17.4% 0.069% 0.012% 99.931% 99.988%
Mason County 29,100 11 0.0% 0.038% 0.000% 99.962% 100.000%
Mecosta County 43,545 14 1 7.1% 0.032% 0.002% 99.968% 99.998%
Menominee County 22,983 5 0.0% 0.022% 0.000% 99.978% 100.000%
Midland County 83,209 61 5 8.2% 0.073% 0.006% 99.927% 99.994%
Missaukee County 15,113 15 1 6.7% 0.099% 0.007% 99.901% 99.993%
Monroe County 150,439 287 12 4.2% 0.191% 0.008% 99.809% 99.992%
Montcalm County 63,968 40 1 2.5% 0.063% 0.002% 99.937% 99.998%
Montmorency County 9,265 5 0.0% 0.054% 0.000% 99.946% 100.000%
Muskegon County 173,588 276 17 6.2% 0.159% 0.010% 99.841% 99.990%
Newaygo County 48,892 22 0.0% 0.045% 0.000% 99.955% 100.000%
Oakland County 1,259,201 7,267 696 9.6% 0.577% 0.055% 99.423% 99.945%
Oceana County 26,625 9 1 11.1% 0.034% 0.004% 99.966% 99.996%
Ogemaw County 20,952 13 0.0% 0.062% 0.000% 99.938% 100.000%
Ontonagon County 5,795 0.0% 0.000% 0.000% 100.000% 100.000%
Osceola County 23,341 8 0.0% 0.034% 0.000% 99.966% 100.000%
Oscoda County 8,276 5 0.0% 0.060% 0.000% 99.940% 100.000%
Otsego County 24,665 92 8 8.7% 0.373% 0.032% 99.627% 99.968%
Ottawa County 290,494 236 9 3.8% 0.081% 0.003% 99.919% 99.997%
Presque Isle County 12,738 11 0.0% 0.086% 0.000% 99.914% 100.000%
Roscommon County 23,884 16 0.0% 0.067% 0.000% 99.933% 100.000%
Saginaw County 190,800 663 59 8.9% 0.347% 0.031% 99.653% 99.969%
St. Clair County 159,337 328 21 6.4% 0.206% 0.013% 99.794% 99.987%
St. Joseph County 61,043 32 1 3.1% 0.052% 0.002% 99.948% 99.998%
Sanilac County 41,182 35 4 11.4% 0.085% 0.010% 99.915% 99.990%
Schoolcraft County 8,068 3 0.0% 0.037% 0.000% 99.963% 100.000%
Shiawassee County 68,192 180 10 5.6% 0.264% 0.015% 99.736% 99.985%
Tuscola County 52,516 105 14 13.3% 0.200% 0.027% 99.800% 99.973%
Van Buren County 75,448 49 2 4.1% 0.065% 0.003% 99.935% 99.997%
Washtenaw County 370,963 1,075 61 5.7% 0.290% 0.016% 99.710% 99.984%
Wayne County 1,753,893 16,729 1,782 10.7% 0.954% 0.102% 99.046% 99.898%
Wexford County 33,466 9 2 22.2% 0.027% 0.006% 99.973% 99.994%
MDOC* 1,453 42 2.9%
FCI** 88 2 2.3%
Unknown 1 0.0%
Out of State 32 1 3.1%
Michigan 9,984,072 41,379 3,789 9.2% 0.414% 0.038% 99.586% 99.962%
State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables By County
6
Statewide:
99.962 % of Michiganders
are surviving the pandemic
County Most Impacted:
99.898% of Wayne County
residents are surviving
the pandemic
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
City of Detroit
is in the table separately
for information purposes
only, and consistency with
the State's Coronvirus
Data Web page.
It's data has been added
to Wayne County (since
the population data is
only by county).
Totals calculations use
only county data
State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables - Gender, Age, and Race
Age
2017 Est.
State
Population
Percentage
of Overall
Cases by
Age
# Cases by
Age
Percentage of
Deceased
Cases by Age
# Deaths
By Age
% of Cases
Ending in
Death
Chances of
Surviving
% of Cases
By
Population
% of Deaths
by
Population
% Population
w/o
Coronavirus
% Surviving
Population
0 to 19 2,444,784 2.0% 828 <1% 0.034% 0.000% 99.966% 100.000%
20 to 29 1,378,759 10.0% 4,138 <1% 0.300% 0.000% 99.700% 100.000%
30 to 39 1,185,193 13.0% 5,379 1.0% 38 0.7% 99.3% 0.454% 0.003% 99.546% 99.997%
40 to 49 1,205,811 16.0% 6,621 4.0% 152 2.3% 97.7% 0.549% 0.013% 99.451% 99.987%
50 to 59 1,405,472 19.0% 7,862 8.0% 303 3.9% 96.1% 0.559% 0.022% 99.441% 99.978%
60 to 69 1,237,461 17.0% 7,034 19.0% 720 10.2% 89.8% 0.568% 0.058% 99.432% 99.942%
70 to 79 699,880 12.0% 4,965 27.0% 1,023 20.6% 79.4% 0.709% 0.146% 99.291% 99.854%
80+ 404,951 12.0% 4,965 40.0% 1,516 30.5% 69.5% 1.226% 0.374% 98.774% 99.626%
Unknown <1% 0.0% 0.0% 100.0%
Race
2017 Est.
State
Population
% of
Overall
Cases by
Race
# Cases by
Race
Percentage of
Deceased
Cases by Race
# Deaths By
Race
% of Cases
Ending in
Death
Chances of
Surviving
% of Cases
By
Population
% of Deaths
by
Population
%
Population
w/o
Coronavirus
%
Surviving
Population
American Indian or Alaska Native 91,554 <1% - <1% -
Asian/Pacific Islander 348,202 2.0% 828 1.0% 38 4.6% 95.4% 0.238% 0.011% 99.762% 99.989%
Black or African American 1,493,499 32.0% 13,241 41.0% 1,553 11.7% 88.3% 0.887% 0.104% 99.113% 99.896%
Caucasian 8,029,056 32.0% 13,241 47.0% 1,781 13.4% 86.6% 0.165% 0.022% 99.835% 99.978%
Multiple Races NA 7.0% 2,897 2.0% 76 2.6% 97.4%
Other NA 4.0% 1,655 2.0% 76 4.6% 95.4%
Unknown NA 22.0% 9,103 7.0% 265 2.9% 97.1%
7
Gender
2017 Est.
State
Population
% of Overall
Cases by Sex
# Cases by
Sex
% of
Deceased
Cases by Sex
# Dead by
Sex
% of Cases
Ending in
Death
Chances of
Surviving
% of Cases
By
Population
% of Deaths
by Population
% Population
w/o
Coronavirus
% Surviving
Population
Male 4,903,752 46.0% 19,034 54.0% 2,046 10.75% 89.3% 0.388% 0.042% 99.612% 99.958%
Female 5,058,559 54.0% 22,345 46.0% 1,743 7.80% 92.2% 0.442% 0.034% 99.558% 99.966%
Unknown <1% 0 <1% -
Gender – Highest Risk:
99.958% of Males are
surviving the pandemic
Age – Highest Risk:
99.626% of people over
80 years old are
surviving the pandemic
Race – Highest Risk:
99.896% of African
Americans are surviving
the pandemic
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
8
Final Comments:
• COVID-19 is serious and all precautions such as social distancing, wearing a mask, and other recommendations from the healthcare community is highly advised.
• For perspective, let’s assume the average age of Michigan residents listed in the “80 +” category on their COVID-19 data webpage is 85 years of age. Statewide,
the percentage of the “80 +” population who have died from COVID-19 is 0.374%. The Social Security Administration’s Period Life tables estimate the probability
of a person 85 years of age passing away for any reason in a typical year is 9.875%.
• My motivation for performing this analysis comes from the shock our family had when my 75 year old uncle contracted the virus. He came down with COVID-19
in late March after entering a hospital as a result of a fall he had at home. He is a diabetic who was unaware of an infection in his foot until the EMT’s were
treating him for his fall. The hospital considered amputation, but first began treating the infection with large doses of antibiotics. My uncle had a stroke when
he was 58 which has left him paralyzed on one side. In addition, he suffers from high blood pressure and heart disease. Our initial report on my uncle from his
nurse was that he had pneumonia, fluid was being drained from his legs due to congestive heart failure, and that he was receiving 10 liters of oxygen. Things
looked grim. I wondered about his probability of survival, but could not find any information. That’s when I began putting together an analysis to get a better
idea of his chances. Thankfully, he pulled through. My condolences to all of the families who have suffered the loss of a loved one.
About the Author:
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
John M Ruther, MBA, CPA, CGMA founded the Ruther Group, LLC in 2008 to enhance clients earnings performance, create significant
cost savings, and optimize their business value.
Mr. Ruther received his undergraduate degree from Central Michigan University, and holds an MBA from the University of Illinois
Urbana-Champaign where he graduated with the Highest Honors. He is a member of the AICPA, and MICPA (Michigan).
John serves as an adjunct lecturer at GVSU, and as a judge for the Central Michigan New Venture Competition. He is an avid
outdoorsman, and enjoys all things Michigan.
9
For Questions Contact:
John M. Ruther MBA, CPA, CGMA
THE RUTHER GROUP LLC
616-550-9415
jmrcpa@ruthergroup.com
Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved

More Related Content

Similar to Michigan 4-30-2020 Coronavirus Analysis

Utilizing new local data sources
Utilizing new local data sourcesUtilizing new local data sources
Utilizing new local data sourcesmambrosefrac
 
Us coronavirus data as of may 1, 2020 just data
Us coronavirus data as of may 1, 2020  just dataUs coronavirus data as of may 1, 2020  just data
Us coronavirus data as of may 1, 2020 just dataJames Orr
 
Where We Ride 2014
Where We Ride 2014Where We Ride 2014
Where We Ride 2014BikeLeague
 
Tx -demo_stat_fy12_414977_7
Tx  -demo_stat_fy12_414977_7Tx  -demo_stat_fy12_414977_7
Tx -demo_stat_fy12_414977_7satoriwatersfl
 
Tx -demo_stat_fy12_414977_7
Tx  -demo_stat_fy12_414977_7Tx  -demo_stat_fy12_414977_7
Tx -demo_stat_fy12_414977_7satoriwatersfl
 
Where We Ride: Analysis of Bicycling in American Cities 2014
Where We Ride: Analysis of Bicycling in American Cities 2014Where We Ride: Analysis of Bicycling in American Cities 2014
Where We Ride: Analysis of Bicycling in American Cities 2014BikeLeague
 
NCAHD 2016 Products services
NCAHD 2016 Products servicesNCAHD 2016 Products services
NCAHD 2016 Products servicesAnn Peton
 
ARC Aging Snapshot Final 2023.pdf
ARC Aging Snapshot Final 2023.pdfARC Aging Snapshot Final 2023.pdf
ARC Aging Snapshot Final 2023.pdfARCResearch
 
Somerset County: Embracing Diversity & Inclusion
Somerset County: Embracing Diversity & InclusionSomerset County: Embracing Diversity & Inclusion
Somerset County: Embracing Diversity & InclusionMelissa DeFreest
 
Danna Stansbury, Land of Sky Regional Council, Asheville, NC
Danna Stansbury, Land of Sky Regional Council, Asheville, NCDanna Stansbury, Land of Sky Regional Council, Asheville, NC
Danna Stansbury, Land of Sky Regional Council, Asheville, NCnado-web
 
New Jersey tourism revenue report for 2013
New Jersey tourism revenue report for 2013New Jersey tourism revenue report for 2013
New Jersey tourism revenue report for 2013OceanCityGazette
 
AGING IN NC PRESENTATION - ABROWN 2015-09
AGING IN NC PRESENTATION - ABROWN 2015-09AGING IN NC PRESENTATION - ABROWN 2015-09
AGING IN NC PRESENTATION - ABROWN 2015-09Allison Brown
 
Q3 Retail Snapshot
Q3 Retail SnapshotQ3 Retail Snapshot
Q3 Retail SnapshotBryan Welch
 
2014 Q3 Retail Market Overview
2014 Q3 Retail Market Overview2014 Q3 Retail Market Overview
2014 Q3 Retail Market OverviewCBCIntermountain
 
Global Medical Cures™| New York Arthritis Prevalence
 Global Medical Cures™| New York Arthritis Prevalence Global Medical Cures™| New York Arthritis Prevalence
Global Medical Cures™| New York Arthritis PrevalenceGlobal Medical Cures™
 
AP_Muskegon (1)
AP_Muskegon (1)AP_Muskegon (1)
AP_Muskegon (1)Yuting Sun
 

Similar to Michigan 4-30-2020 Coronavirus Analysis (20)

Utilizing new local data sources
Utilizing new local data sourcesUtilizing new local data sources
Utilizing new local data sources
 
Us coronavirus data as of may 1, 2020 just data
Us coronavirus data as of may 1, 2020  just dataUs coronavirus data as of may 1, 2020  just data
Us coronavirus data as of may 1, 2020 just data
 
Where We Ride 2014
Where We Ride 2014Where We Ride 2014
Where We Ride 2014
 
Tx -demo_stat_fy12_414977_7
Tx  -demo_stat_fy12_414977_7Tx  -demo_stat_fy12_414977_7
Tx -demo_stat_fy12_414977_7
 
Tx -demo_stat_fy12_414977_7
Tx  -demo_stat_fy12_414977_7Tx  -demo_stat_fy12_414977_7
Tx -demo_stat_fy12_414977_7
 
Where We Ride: Analysis of Bicycling in American Cities 2014
Where We Ride: Analysis of Bicycling in American Cities 2014Where We Ride: Analysis of Bicycling in American Cities 2014
Where We Ride: Analysis of Bicycling in American Cities 2014
 
NCAHD 2016 Products services
NCAHD 2016 Products servicesNCAHD 2016 Products services
NCAHD 2016 Products services
 
ARC Aging Snapshot Final 2023.pdf
ARC Aging Snapshot Final 2023.pdfARC Aging Snapshot Final 2023.pdf
ARC Aging Snapshot Final 2023.pdf
 
An Overview of Recent Population Trends in illinois
An Overview of Recent Population Trends in illinoisAn Overview of Recent Population Trends in illinois
An Overview of Recent Population Trends in illinois
 
Somerset County: Embracing Diversity & Inclusion
Somerset County: Embracing Diversity & InclusionSomerset County: Embracing Diversity & Inclusion
Somerset County: Embracing Diversity & Inclusion
 
2020 State of the Community Report
2020 State of the Community Report2020 State of the Community Report
2020 State of the Community Report
 
Danna Stansbury, Land of Sky Regional Council, Asheville, NC
Danna Stansbury, Land of Sky Regional Council, Asheville, NCDanna Stansbury, Land of Sky Regional Council, Asheville, NC
Danna Stansbury, Land of Sky Regional Council, Asheville, NC
 
New Jersey tourism revenue report for 2013
New Jersey tourism revenue report for 2013New Jersey tourism revenue report for 2013
New Jersey tourism revenue report for 2013
 
AGING IN NC PRESENTATION - ABROWN 2015-09
AGING IN NC PRESENTATION - ABROWN 2015-09AGING IN NC PRESENTATION - ABROWN 2015-09
AGING IN NC PRESENTATION - ABROWN 2015-09
 
Q3 Retail Snapshot
Q3 Retail SnapshotQ3 Retail Snapshot
Q3 Retail Snapshot
 
2014 Q3 Retail Market Overview
2014 Q3 Retail Market Overview2014 Q3 Retail Market Overview
2014 Q3 Retail Market Overview
 
Opportunity Zones Part 2
Opportunity Zones Part 2Opportunity Zones Part 2
Opportunity Zones Part 2
 
Global Medical Cures™| New York Arthritis Prevalence
 Global Medical Cures™| New York Arthritis Prevalence Global Medical Cures™| New York Arthritis Prevalence
Global Medical Cures™| New York Arthritis Prevalence
 
AP_Muskegon (1)
AP_Muskegon (1)AP_Muskegon (1)
AP_Muskegon (1)
 
The 2019 sotc presentation for slide share
The 2019 sotc presentation for slide shareThe 2019 sotc presentation for slide share
The 2019 sotc presentation for slide share
 

Recently uploaded

EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service LucknowAminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknowmakika9823
 
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...Suhani Kapoor
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...soniya singh
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiSuhani Kapoor
 

Recently uploaded (20)

EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service LucknowAminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
 
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
VIP High Class Call Girls Bikaner Anushka 8250192130 Independent Escort Servi...
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
 
Decoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in ActionDecoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in Action
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
 

Michigan 4-30-2020 Coronavirus Analysis

  • 1. 1 State of Michigan COVID-19 Analysis as of 4/30/2020 Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
  • 2. 2 Purpose: On a daily basis, the State of Michigan provides information to the public on the number of COVID-19 related cases and deaths in each county and statewide. It also provides a demographic breakdown of the distribution of COVID-19 patients and deceased by gender, age, and race. However, there is little information on COVID-19 in regards to the pandemic survival rate of the general population nor survival rates of COVID-19 patients in any of the categories mentioned above. This analysis uses State data to provide a picture of the population’s survival as the pandemic winds down. Table of Contents: • State of Michigan – COVID-19 Map • Summary of Findings – General Population Pandemic Survival • Summary of Findings – COVID-19 Patient Survival Rates • State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables By County • State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables - Gender, Age, and Race Sources: • This analysis is derived strictly from and relied only on data provided by the State of Michigan, and has not been independently verified. • All columns in pink or green, and pie charts, are calculations using data from the State's Conronavirus Data webpage https://www.michigan.gov/coronavirus/0,9753,7-406- 98163_98173---,00.html, the Michigan Department of Management and Budget, Office of the State Demographer - Michigan population by county demographics-(updated Jan 29, 2020) https://www.senate.michigan.gov/sfa/Economics/MichiganPopulationByCounty.PDF, and demographic tables by age, gender, and race from the Michigan Department of Health and Human Services 2017 estimated population https://www.michigan.gov/mdhhs/0,5885,7-339-73970_2944_5325---,00.html State of Michigan COVID-19 Analysis as of 4/30/2020 Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
  • 3. 3 State of Michigan COVID-19 Analysis as of 4/30/2020: County Map Cases Per 1,000 Residents Zero Less than 1 1 – 2 3 – 4 5 – 6 7 or Greater Deaths Per 1,000 Residents Zero Less than 1 1 – 2 3 – 4 5 – 6 7 or Greater Note: Although less than 1 percent of residents in every county in Michigan except Wayne has contracted or died from COVID-19, the virus map is presented in 1,000 person increments. Given the relatively small population of certain counties, this creates a fair representation for the graphic. Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
  • 4. 4 General Michigan Resident Population Pandemic Survival: • Overall: 99.962% of Michiganders have not died from the pandemic • By County: the highest impact is Wayne County with 99.898% of its residents who have not died from the pandemic. • By Gender: Statewide, Males residents are most at risk with 99.958% who have not died from the pandemic. • By Age: Statewide, residents 80 + Years of Age are most at risk with 99.626% who have not died from the pandemic. • By Race: Statewide, African American residents are most at risk with 99.896% who have not died from the pandemic. State of Michigan: COVID-19 Analysis as of 4/30/2020: Summary Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
  • 5. 5 State of Michigan: COVID-19 Analysis as of 4/30/2020: Summary COVID-19 Patient Survival Rates: • Overall: 90.8% Michiganders with COVID-19 are still surviving • By County: Wayne County has the highest number of COVID-19 patients with 89.3% surviving. • By Gender: Statewide, Male COVID-19 patients are most at risk with a survival rate of 89.3%. • By Age: Statewide, COVID-19 patients 80 + Years of Age are most at risk with a survival rate of 69.5% . • By Race: Statewide, although African American residents have the highest risk of contracting the virus, Caucasian COVID-19 patients are most at risk of death with survival rate of 86.6%. Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
  • 6. * Population By County 2018 Total Cases Reported Deaths % of Cases Ending in Death % Cases by Population % Death by Population % of Population w/o Covid- 19 % of Population Surviving Alcona County 10,362 4 1 25.0% 0.039% 0.010% 99.961% 99.990% Alger County 9,097 0.0% 0.000% 0.000% 100.000% 100.000% Allegan County 117,327 98 2 2.0% 0.084% 0.002% 99.916% 99.998% Alpena County 28,360 82 5 6.1% 0.289% 0.018% 99.711% 99.982% Antrim County 23,365 10 0.0% 0.043% 0.000% 99.957% 100.000% Arenac County 15,041 24 1 4.2% 0.160% 0.007% 99.840% 99.993% Baraga County 8,320 0.0% 0.000% 0.000% 100.000% 100.000% Barry County 61,157 35 1 2.9% 0.057% 0.002% 99.943% 99.998% Bay County 103,923 143 4 2.8% 0.138% 0.004% 99.862% 99.996% Benzie County 17,753 6 0.0% 0.034% 0.000% 99.966% 100.000% Berrien County 154,141 248 15 6.0% 0.161% 0.010% 99.839% 99.990% Branch County 43,622 63 2 3.2% 0.144% 0.005% 99.856% 99.995% Calhoun County 134,487 228 13 5.7% 0.170% 0.010% 99.830% 99.990% Cass County 51,653 31 2 6.5% 0.060% 0.004% 99.940% 99.996% Charlevoix County 26,244 13 1 7.7% 0.050% 0.004% 99.950% 99.996% Cheboygan County 25,413 19 1 5.3% 0.075% 0.004% 99.925% 99.996% Chippewa County 37,517 2 0.0% 0.005% 0.000% 99.995% 100.000% Clare County 30,757 11 1 9.1% 0.036% 0.003% 99.964% 99.997% Clinton County 79,332 118 9 7.6% 0.149% 0.011% 99.851% 99.989% Crawford County 13,901 54 4 7.4% 0.388% 0.029% 99.612% 99.971% Detroit 9,057 1,035 11.4% Delta County 35,857 13 2 15.4% 0.036% 0.006% 99.964% 99.994% Dickinson County 25,383 3 2 66.7% 0.012% 0.008% 99.988% 99.992% Eaton County 109,826 131 6 4.6% 0.119% 0.005% 99.881% 99.995% Emmet County 33,308 21 2 9.5% 0.063% 0.006% 99.937% 99.994% Genesee County 406,892 1,581 188 11.9% 0.389% 0.046% 99.611% 99.954% Gladwin County 25,337 15 1 6.7% 0.059% 0.004% 99.941% 99.996% Gogebic County 15,096 4 1 25.0% 0.026% 0.007% 99.974% 99.993% Grand Traverse County 92,573 19 5 26.3% 0.021% 0.005% 99.979% 99.995% Gratiot County 40,599 13 1 7.7% 0.032% 0.002% 99.968% 99.998% Hillsdale County 45,749 125 17 13.6% 0.273% 0.037% 99.727% 99.963% Houghton County 36,219 2 0.0% 0.006% 0.000% 99.994% 100.000% Huron County 31,166 17 0.0% 0.055% 0.000% 99.945% 100.000% Ingham County 292,735 470 11 2.3% 0.161% 0.004% 99.839% 99.996% Ionia County 64,210 76 2 2.6% 0.118% 0.003% 99.882% 99.997% Iosco County 25,081 52 4 7.7% 0.207% 0.016% 99.793% 99.984% Iron County 11,117 0.0% 0.000% 0.000% 100.000% 100.000% Isabella County 70,562 61 7 11.5% 0.086% 0.010% 99.914% 99.990% Jackson County 158,823 364 22 6.0% 0.229% 0.014% 99.771% 99.986% Kalamazoo County 264,870 364 13 3.6% 0.137% 0.005% 99.863% 99.995% Kalkaska County 17,824 17 2 11.8% 0.095% 0.011% 99.905% 99.989% Kent County 653,786 1,479 33 2.2% 0.226% 0.005% 99.774% 99.995% Keweenaw County 2,113 0.0% 0.000% 0.000% 100.000% 100.000% Lake County 11,881 2 0.0% 0.017% 0.000% 99.983% 100.000% Lapeer County 88,028 170 24 14.1% 0.193% 0.027% 99.807% 99.973% Leelanau County 21,764 9 0.0% 0.041% 0.000% 99.959% 100.000% Lenawee County 98,266 93 2 2.2% 0.095% 0.002% 99.905% 99.998% Livingston County 191,224 337 19 5.6% 0.176% 0.010% 99.824% 99.990% Luce County 6,283 1 0.0% 0.016% 0.000% 99.984% 100.000% Mackinac County 10,787 6 0.0% 0.056% 0.000% 99.944% 100.000% Macomb County 874,759 5,513 603 10.9% 0.630% 0.069% 99.370% 99.931% Manistee County 24,528 11 0.0% 0.045% 0.000% 99.955% 100.000% Marquette County 66,516 46 8 17.4% 0.069% 0.012% 99.931% 99.988% Mason County 29,100 11 0.0% 0.038% 0.000% 99.962% 100.000% Mecosta County 43,545 14 1 7.1% 0.032% 0.002% 99.968% 99.998% Menominee County 22,983 5 0.0% 0.022% 0.000% 99.978% 100.000% Midland County 83,209 61 5 8.2% 0.073% 0.006% 99.927% 99.994% Missaukee County 15,113 15 1 6.7% 0.099% 0.007% 99.901% 99.993% Monroe County 150,439 287 12 4.2% 0.191% 0.008% 99.809% 99.992% Montcalm County 63,968 40 1 2.5% 0.063% 0.002% 99.937% 99.998% Montmorency County 9,265 5 0.0% 0.054% 0.000% 99.946% 100.000% Muskegon County 173,588 276 17 6.2% 0.159% 0.010% 99.841% 99.990% Newaygo County 48,892 22 0.0% 0.045% 0.000% 99.955% 100.000% Oakland County 1,259,201 7,267 696 9.6% 0.577% 0.055% 99.423% 99.945% Oceana County 26,625 9 1 11.1% 0.034% 0.004% 99.966% 99.996% Ogemaw County 20,952 13 0.0% 0.062% 0.000% 99.938% 100.000% Ontonagon County 5,795 0.0% 0.000% 0.000% 100.000% 100.000% Osceola County 23,341 8 0.0% 0.034% 0.000% 99.966% 100.000% Oscoda County 8,276 5 0.0% 0.060% 0.000% 99.940% 100.000% Otsego County 24,665 92 8 8.7% 0.373% 0.032% 99.627% 99.968% Ottawa County 290,494 236 9 3.8% 0.081% 0.003% 99.919% 99.997% Presque Isle County 12,738 11 0.0% 0.086% 0.000% 99.914% 100.000% Roscommon County 23,884 16 0.0% 0.067% 0.000% 99.933% 100.000% Saginaw County 190,800 663 59 8.9% 0.347% 0.031% 99.653% 99.969% St. Clair County 159,337 328 21 6.4% 0.206% 0.013% 99.794% 99.987% St. Joseph County 61,043 32 1 3.1% 0.052% 0.002% 99.948% 99.998% Sanilac County 41,182 35 4 11.4% 0.085% 0.010% 99.915% 99.990% Schoolcraft County 8,068 3 0.0% 0.037% 0.000% 99.963% 100.000% Shiawassee County 68,192 180 10 5.6% 0.264% 0.015% 99.736% 99.985% Tuscola County 52,516 105 14 13.3% 0.200% 0.027% 99.800% 99.973% Van Buren County 75,448 49 2 4.1% 0.065% 0.003% 99.935% 99.997% Washtenaw County 370,963 1,075 61 5.7% 0.290% 0.016% 99.710% 99.984% Wayne County 1,753,893 16,729 1,782 10.7% 0.954% 0.102% 99.046% 99.898% Wexford County 33,466 9 2 22.2% 0.027% 0.006% 99.973% 99.994% MDOC* 1,453 42 2.9% FCI** 88 2 2.3% Unknown 1 0.0% Out of State 32 1 3.1% Michigan 9,984,072 41,379 3,789 9.2% 0.414% 0.038% 99.586% 99.962% State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables By County 6 Statewide: 99.962 % of Michiganders are surviving the pandemic County Most Impacted: 99.898% of Wayne County residents are surviving the pandemic Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved City of Detroit is in the table separately for information purposes only, and consistency with the State's Coronvirus Data Web page. It's data has been added to Wayne County (since the population data is only by county). Totals calculations use only county data
  • 7. State of Michigan – General Population COVID-19 Analysis as of 4/30/2020: Tables - Gender, Age, and Race Age 2017 Est. State Population Percentage of Overall Cases by Age # Cases by Age Percentage of Deceased Cases by Age # Deaths By Age % of Cases Ending in Death Chances of Surviving % of Cases By Population % of Deaths by Population % Population w/o Coronavirus % Surviving Population 0 to 19 2,444,784 2.0% 828 <1% 0.034% 0.000% 99.966% 100.000% 20 to 29 1,378,759 10.0% 4,138 <1% 0.300% 0.000% 99.700% 100.000% 30 to 39 1,185,193 13.0% 5,379 1.0% 38 0.7% 99.3% 0.454% 0.003% 99.546% 99.997% 40 to 49 1,205,811 16.0% 6,621 4.0% 152 2.3% 97.7% 0.549% 0.013% 99.451% 99.987% 50 to 59 1,405,472 19.0% 7,862 8.0% 303 3.9% 96.1% 0.559% 0.022% 99.441% 99.978% 60 to 69 1,237,461 17.0% 7,034 19.0% 720 10.2% 89.8% 0.568% 0.058% 99.432% 99.942% 70 to 79 699,880 12.0% 4,965 27.0% 1,023 20.6% 79.4% 0.709% 0.146% 99.291% 99.854% 80+ 404,951 12.0% 4,965 40.0% 1,516 30.5% 69.5% 1.226% 0.374% 98.774% 99.626% Unknown <1% 0.0% 0.0% 100.0% Race 2017 Est. State Population % of Overall Cases by Race # Cases by Race Percentage of Deceased Cases by Race # Deaths By Race % of Cases Ending in Death Chances of Surviving % of Cases By Population % of Deaths by Population % Population w/o Coronavirus % Surviving Population American Indian or Alaska Native 91,554 <1% - <1% - Asian/Pacific Islander 348,202 2.0% 828 1.0% 38 4.6% 95.4% 0.238% 0.011% 99.762% 99.989% Black or African American 1,493,499 32.0% 13,241 41.0% 1,553 11.7% 88.3% 0.887% 0.104% 99.113% 99.896% Caucasian 8,029,056 32.0% 13,241 47.0% 1,781 13.4% 86.6% 0.165% 0.022% 99.835% 99.978% Multiple Races NA 7.0% 2,897 2.0% 76 2.6% 97.4% Other NA 4.0% 1,655 2.0% 76 4.6% 95.4% Unknown NA 22.0% 9,103 7.0% 265 2.9% 97.1% 7 Gender 2017 Est. State Population % of Overall Cases by Sex # Cases by Sex % of Deceased Cases by Sex # Dead by Sex % of Cases Ending in Death Chances of Surviving % of Cases By Population % of Deaths by Population % Population w/o Coronavirus % Surviving Population Male 4,903,752 46.0% 19,034 54.0% 2,046 10.75% 89.3% 0.388% 0.042% 99.612% 99.958% Female 5,058,559 54.0% 22,345 46.0% 1,743 7.80% 92.2% 0.442% 0.034% 99.558% 99.966% Unknown <1% 0 <1% - Gender – Highest Risk: 99.958% of Males are surviving the pandemic Age – Highest Risk: 99.626% of people over 80 years old are surviving the pandemic Race – Highest Risk: 99.896% of African Americans are surviving the pandemic Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved
  • 8. 8 Final Comments: • COVID-19 is serious and all precautions such as social distancing, wearing a mask, and other recommendations from the healthcare community is highly advised. • For perspective, let’s assume the average age of Michigan residents listed in the “80 +” category on their COVID-19 data webpage is 85 years of age. Statewide, the percentage of the “80 +” population who have died from COVID-19 is 0.374%. The Social Security Administration’s Period Life tables estimate the probability of a person 85 years of age passing away for any reason in a typical year is 9.875%. • My motivation for performing this analysis comes from the shock our family had when my 75 year old uncle contracted the virus. He came down with COVID-19 in late March after entering a hospital as a result of a fall he had at home. He is a diabetic who was unaware of an infection in his foot until the EMT’s were treating him for his fall. The hospital considered amputation, but first began treating the infection with large doses of antibiotics. My uncle had a stroke when he was 58 which has left him paralyzed on one side. In addition, he suffers from high blood pressure and heart disease. Our initial report on my uncle from his nurse was that he had pneumonia, fluid was being drained from his legs due to congestive heart failure, and that he was receiving 10 liters of oxygen. Things looked grim. I wondered about his probability of survival, but could not find any information. That’s when I began putting together an analysis to get a better idea of his chances. Thankfully, he pulled through. My condolences to all of the families who have suffered the loss of a loved one. About the Author: Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved John M Ruther, MBA, CPA, CGMA founded the Ruther Group, LLC in 2008 to enhance clients earnings performance, create significant cost savings, and optimize their business value. Mr. Ruther received his undergraduate degree from Central Michigan University, and holds an MBA from the University of Illinois Urbana-Champaign where he graduated with the Highest Honors. He is a member of the AICPA, and MICPA (Michigan). John serves as an adjunct lecturer at GVSU, and as a judge for the Central Michigan New Venture Competition. He is an avid outdoorsman, and enjoys all things Michigan.
  • 9. 9 For Questions Contact: John M. Ruther MBA, CPA, CGMA THE RUTHER GROUP LLC 616-550-9415 jmrcpa@ruthergroup.com Copyright © 2020 The Ruther Group, LLC, Grandville, MI All Rights Reserved