Demographics details for Freeland, MI vs Marshall, TX
Population Overview
Compare main population characteristics in Freeland, MI vs Marshall, TX.
| Data | Freeland | Marshall |
|---|---|---|
| Population | 7,357 | 23,641 |
| Median Age | 37.4 years | 34.1 years |
| Median Income | $95,478 | $49,162 |
| Married Families | 39.0% | 27.0% |
| Poverty Level | 4% | 17% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Freeland vs Marshall
- The population in Marshall is higher at 23,641, compared to 7,357 in Freeland.
- Residents in Freeland have a higher median age of 37.4 years compared to 34.1 years in Marshall.
- Freeland has a higher median income of $95,478 compared to $49,162 in Marshall.
- A higher percentage of married families is found in Freeland at 39.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 4% in Freeland.
- Marshall has a higher unemployment rate at 5.1% compared to 3.5% in Freeland.
Demographics
Demographics Freeland vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Freeland | Marshall |
|---|---|---|
| Black | 9 | 40 |
| White | 76 | 28 |
| Asian | 1 | 1 |
| Hispanic | 5 | 20 |
| Two or More Races | 8 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Freeland vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 9% in Freeland.
- Freeland has a higher percentage of White residents at 76% compared to 28% in Marshall.
- Both Freeland and Marshall have the same percentage of Asian residents at 1%.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 5% in Freeland.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 8% in Freeland.
- A greater percentage of American Indian residents live in Freeland at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Freeland | Marshall |
|---|---|---|
| Mental Health Not Good | 14.5% | 19.2% |
| Physical Health Not Good | 9.1% | 13.8% |
| Depression | 20.4% | 22.7% |
| Smoking | 14.2% | 21.0% |
| Binge Drinking | 20.3% | 16.2% |
| Obesity | 37.8% | 42.0% |
| Disability Percentage | 4.0% | 17.0% |
Health Statistics Comparison: Freeland vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 14.5% in Freeland.
- Higher depression rates are seen in Marshall at 22.7% versus 20.4% in Freeland.
- Marshall has a higher smoking rate at 21.0% compared to 14.2% in Freeland.
- Binge drinking is more common in Freeland at 20.3% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 37.8% in Freeland.
- There is a higher percentage of disabled individuals in Marshall at 17.0% 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 | Marshall |
|---|---|---|
| No Schooling | 0.7% (51) | 0.8% (195) |
| High School Diploma | 13.8% (1,014) | 18.7% (4,412) |
| Less than High School | 7.4% (542) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 21.8% (1,605) | 13.2% (3,127) |
Education Levels Comparison: Freeland vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Freeland.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 13.8% in Freeland.
- The percentage of residents with less than a high school education is higher in Marshall at 10.7%, compared to 7.4% in Freeland.
- A higher percentage of residents in Freeland hold a bachelor's degree or higher at 21.8% compared to 13.2% in Marshall.
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.