Demographics details for Charlotte, NC vs Lake odessa, MI
Population Overview
Compare main population characteristics in Charlotte, NC vs Lake odessa, MI.
Data | Charlotte | Lake odessa |
---|---|---|
Population | 897,720 | 2,062 |
Median Age | 34.5 years | 36.0 years |
Median Income | $74,070 | $66,397 |
Married Families | 33.0% | 40.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Charlotte vs Lake odessa
- In Charlotte, the population is higher at 897,720, compared to 2,062 in Lake odessa.
- The median age in Lake odessa is higher at 36.0 years, compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070 compared to $66,397 in Lake odessa.
- In Lake odessa, the percentage of married families is higher at 40.0%, compared to 33.0% in Charlotte.
- Charlotte has a higher poverty level at 12% compared to 10% in Lake odessa.
- The unemployment rate in Charlotte is higher at 4.0%, compared to 3.5% in Lake odessa.
Demographics
Demographics Charlotte vs Lake odessa provide insight into the diversity of the communities to compare.
Demographic | Charlotte | Lake odessa |
---|---|---|
Black | 34 | 3 |
White | 38 | 81 |
Asian | 6 | 1 |
Hispanic | 15 | 6 |
Two or More Races | 7 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlotte vs Lake odessa
- A higher percentage of Black residents are in Charlotte at 34% compared to 3% in Lake odessa.
- The percentage of White residents is higher in Lake odessa at 81% compared to 38% in Charlotte.
- The Asian population is larger in Charlotte at 6% compared to 1% in Lake odessa.
- The Hispanic community is larger in Charlotte at 15% compared to 6% in Lake odessa.
- The percentage of residents identifying as two or more races is higher in Lake odessa at 9%, compared to 7% in Charlotte.
- The percentage of American Indian residents is the same in both Charlotte and Lake odessa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Charlotte | Lake odessa |
---|---|---|
Mental Health Not Good | 14.7% | 17.5% |
Physical Health Not Good | 10.1% | 11.1% |
Depression | 20.1% | 24.5% |
Smoking | 13.9% | 19.0% |
Binge Drinking | 17.5% | 18.6% |
Obesity | 34.7% | 35.7% |
Disability Percentage | 8.0% | 15.0% |
Health Statistics Comparison: Charlotte vs Lake odessa
- In Lake odessa, a higher percentage report poor mental health at 17.5% compared to 14.7% in Charlotte.
- Higher depression rates are seen in Lake odessa at 24.5% versus 20.1% in Charlotte.
- Lake odessa has a higher smoking rate at 19.0% compared to 13.9% in Charlotte.
- More residents engage in binge drinking in Lake odessa at 18.6% compared to 17.5% in Charlotte.
- Lake odessa has higher obesity rates at 35.7% compared to 34.7% in Charlotte.
- There is a higher percentage of disabled individuals in Lake odessa at 15.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Charlotte | Lake odessa |
---|---|---|
No Schooling | 1.2% (10,429) | 0.2% (5) |
High School Diploma | 9.4% (84,002) | 21.2% (438) |
Less than High School | 10.7% (95,990) | 15.7% (324) |
Bachelor's Degree and Higher | 30.6% (274,311) | 10.8% (222) |
Education Levels Comparison: Charlotte vs Lake odessa
- A higher percentage of residents in Charlotte have no formal schooling at 1.2% compared to 0.2% in Lake odessa.
- In Lake odessa, the rate of residents with high school diplomas is higher at 21.2% compared to 9.4% in Charlotte.
- The percentage of residents with less than a high school education is higher in Lake odessa at 15.7%, compared to 10.7% in Charlotte.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% compared to 10.8% in Lake odessa.
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.