Demographics details for Freeland, MI vs Jefferson city, MO
Population Overview
Compare main population characteristics in Freeland, MI vs Jefferson city, MO.
Data | Freeland | Jefferson city |
---|---|---|
Population | 7,357 | 42,528 |
Median Age | 37.4 years | 38.5 years |
Median Income | $95,478 | $63,649 |
Married Families | 39.0% | 37.0% |
Poverty Level | 4% | 11% |
Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Freeland vs Jefferson city
- The population in Jefferson city is higher at 42,528, compared to 7,357 in Freeland.
- The median age in Jefferson city is higher at 38.5 years, compared to 37.4 years in Freeland.
- Freeland has a higher median income of $95,478 compared to $63,649 in Jefferson city.
- A higher percentage of married families is found in Freeland at 39.0% compared to 37.0% in Jefferson city.
- The poverty level is higher in Jefferson city at 11%, compared to 4% in Freeland.
- Jefferson city has a higher unemployment rate at 3.9% compared to 3.5% in Freeland.
Demographics
Demographics Freeland vs Jefferson city provide insight into the diversity of the communities to compare.
Demographic | Freeland | Jefferson city |
---|---|---|
Black | 9 | 18 |
White | 76 | 72 |
Asian | 1 | 3 |
Hispanic | 5 | 3 |
Two or More Races | 8 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Freeland vs Jefferson city
- In Jefferson city, the percentage of Black residents is higher at 18% compared to 9% in Freeland.
- Freeland has a higher percentage of White residents at 76% compared to 72% in Jefferson city.
- In Jefferson city, the Asian population stands at 3%, greater than 1% in Freeland.
- The Hispanic community is larger in Freeland at 5% compared to 3% in Jefferson city.
- More residents identify as two or more races in Freeland at 8% compared to 4% in Jefferson city.
- A greater percentage of American Indian residents live in Freeland at 1% compared to 0% in Jefferson city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Freeland | Jefferson city |
---|---|---|
Mental Health Not Good | 14.5% | 17.1% |
Physical Health Not Good | 9.1% | 11.6% |
Depression | 20.4% | 22.6% |
Smoking | 14.2% | 18.6% |
Binge Drinking | 20.3% | 16.9% |
Obesity | 37.8% | 37.4% |
Disability Percentage | 4.0% | 11.0% |
Health Statistics Comparison: Freeland vs Jefferson city
- In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 14.5% in Freeland.
- Higher depression rates are seen in Jefferson city at 22.6% versus 20.4% in Freeland.
- Jefferson city has a higher smoking rate at 18.6% compared to 14.2% in Freeland.
- Binge drinking is more common in Freeland at 20.3% compared to 16.9% in Jefferson city.
- Obesity rates are higher in Freeland at 37.8% compared to 37.4% in Jefferson city.
- There is a higher percentage of disabled individuals in Jefferson city at 11.0% compared to 4.0% in Freeland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Freeland | Jefferson city |
---|---|---|
No Schooling | 0.7% (51) | 0.5% (233) |
High School Diploma | 13.8% (1,014) | 15.9% (6,767) |
Less than High School | 7.4% (542) | 11.0% (4,659) |
Bachelor's Degree and Higher | 21.8% (1,605) | 24.8% (10,543) |
Education Levels Comparison: Freeland vs Jefferson city
- A higher percentage of residents in Freeland have no formal schooling at 0.7% compared to 0.5% in Jefferson city.
- In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 13.8% in Freeland.
- The percentage of residents with less than a high school education is higher in Jefferson city at 11.0%, compared to 7.4% in Freeland.
- In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 21.8% in Freeland.
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.