Demographics details for Kaleva, MI vs Marshall, TX
Population Overview
Compare main population characteristics in Kaleva, MI vs Marshall, TX.
Data | Kaleva | Marshall |
---|---|---|
Population | 522 | 23,641 |
Median Age | 37.6 years | 34.1 years |
Median Income | $40,000 | $49,162 |
Married Families | 32.0% | 27.0% |
Poverty Level | Data is updating | 17% |
Unemployment Rate | 4.0 | 5.1 |
Population Comparison: Kaleva vs Marshall
- The population in Marshall is higher at 23,641, compared to 522 in Kaleva.
- Residents in Kaleva have a higher median age of 37.6 years compared to 34.1 years in Marshall.
- Marshall has a higher median income of $49,162, compared to $40,000 in Kaleva.
- A higher percentage of married families is found in Kaleva at 32.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 0% in Kaleva.
- Marshall has a higher unemployment rate at 5.1% compared to 4.0% in Kaleva.
Demographics
Demographics Kaleva vs Marshall provide insight into the diversity of the communities to compare.
Demographic | Kaleva | Marshall |
---|---|---|
Black | Data is updating | 40 |
White | 93 | 28 |
Asian | Data is updating | 1 |
Hispanic | 3 | 20 |
Two or More Races | 3 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Kaleva vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 0% in Kaleva.
- Kaleva has a higher percentage of White residents at 93% compared to 28% in Marshall.
- In Marshall, the Asian population stands at 1%, greater than 0% in Kaleva.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 3% in Kaleva.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 3% in Kaleva.
- A greater percentage of American Indian residents live in Kaleva at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kaleva | Marshall |
---|---|---|
Mental Health Not Good | 19.0% | 19.2% |
Physical Health Not Good | 13.2% | 13.8% |
Depression | 25.9% | 22.7% |
Smoking | 23.4% | 21.0% |
Binge Drinking | 17.5% | 16.2% |
Obesity | 35.3% | 42.0% |
Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Kaleva vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 19.0% in Kaleva.
- Depression is more prevalent in Kaleva at 25.9% compared to 22.7% in Marshall.
- Smoking is more prevalent in Kaleva at 23.4% compared to 21.0% in Marshall.
- Binge drinking is more common in Kaleva at 17.5% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 35.3% in Kaleva.
- Disability percentages are higher in Kaleva at 20.0% compared to 17.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kaleva | Marshall |
---|---|---|
No Schooling | 1.0% (5) | 0.8% (195) |
High School Diploma | 23.9% (125) | 18.7% (4,412) |
Less than High School | 11.3% (59) | 10.7% (2,527) |
Bachelor's Degree and Higher | 9.8% (51) | 13.2% (3,127) |
Education Levels Comparison: Kaleva vs Marshall
- A higher percentage of residents in Kaleva have no formal schooling at 1.0% compared to 0.8% in Marshall.
- A higher percentage of residents in Kaleva hold a high school diploma at 23.9% compared to 18.7% in Marshall.
- More residents in Kaleva have less than a high school education at 11.3% compared to 10.7% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 9.8% in Kaleva.
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.