Demographics details for Ann arbor, MI vs Charlotte, NC

Population Overview

Compare main population characteristics in Ann arbor, MI vs Charlotte, NC.

Data Ann arbor Charlotte
Population 119,875 897,720
Median Age 27.4 years 34.5 years
Median Income $78,546 $74,070
Married Families 32.0% 33.0%
Poverty Level 12% 12%
Unemployment Rate 3.5 4.0

Population Comparison: Ann arbor vs Charlotte

  • The population in Charlotte is higher at 897,720, compared to 119,875 in Ann arbor.
  • The median age in Charlotte is higher at 34.5 years, compared to 27.4 years in Ann arbor.
  • Ann arbor has a higher median income of $78,546 compared to $74,070 in Charlotte.
  • In Charlotte, the percentage of married families is higher at 33.0%, compared to 32.0% in Ann arbor.
  • The poverty level is identical in both Ann arbor and Charlotte at 12%.
  • Charlotte has a higher unemployment rate at 4.0% compared to 3.5% in Ann arbor.

Demographics

Demographics Ann arbor vs Charlotte provide insight into the diversity of the communities to compare.

Demographic Ann arbor Charlotte
Black 7 34
White 66 38
Asian 16 6
Hispanic 5 15
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Ann arbor vs Charlotte

  • In Charlotte, the percentage of Black residents is higher at 34% compared to 7% in Ann arbor.
  • Ann arbor has a higher percentage of White residents at 66% compared to 38% in Charlotte.
  • The Asian population is larger in Ann arbor at 16% compared to 6% in Charlotte.
  • Charlotte has a higher percentage of Hispanic residents at 15%, compared to 5% in Ann arbor.
  • The percentage of residents identifying as two or more races is higher in Charlotte at 7%, compared to 6% in Ann arbor.
  • The percentage of American Indian residents is the same in both Ann arbor and Charlotte at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Ann arbor Charlotte
Mental Health Not Good 15.0% 14.7%
Physical Health Not Good 7.9% 10.1%
Depression 25.3% 20.1%
Smoking 10.0% 13.9%
Binge Drinking 15.3% 17.5%
Obesity 27.1% 34.7%
Disability Percentage 7.0% 8.0%

Health Statistics Comparison: Ann arbor vs Charlotte

  • More residents in Ann arbor report poor mental health at 15.0% compared to 14.7% in Charlotte.
  • Depression is more prevalent in Ann arbor at 25.3% compared to 20.1% in Charlotte.
  • Charlotte has a higher smoking rate at 13.9% compared to 10.0% in Ann arbor.
  • More residents engage in binge drinking in Charlotte at 17.5% compared to 15.3% in Ann arbor.
  • Charlotte has higher obesity rates at 34.7% compared to 27.1% in Ann arbor.
  • There is a higher percentage of disabled individuals in Charlotte at 8.0% compared to 7.0% in Ann arbor.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Ann arbor Charlotte
No Schooling 0.3% (333) 1.2% (10,429)
High School Diploma 3.4% (4,083) 9.4% (84,002)
Less than High School 1.9% (2,316) 10.7% (95,990)
Bachelor's Degree and Higher 43.4% (52,005) 30.6% (274,311)

Education Levels Comparison: Ann arbor vs Charlotte

  • In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.3% in Ann arbor.
  • In Charlotte, the rate of residents with high school diplomas is higher at 9.4% compared to 3.4% in Ann arbor.
  • The percentage of residents with less than a high school education is higher in Charlotte at 10.7%, compared to 1.9% in Ann arbor.
  • A higher percentage of residents in Ann arbor hold a bachelor's degree or higher at 43.4% compared to 30.6% in Charlotte.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.