Demographics details for Newberry, MI vs Marshall, TX
Population Overview
Compare main population characteristics in Newberry, MI vs Marshall, TX.
| Data | Newberry | Marshall |
|---|---|---|
| Population | 1,446 | 23,641 |
| Median Age | 38.6 years | 34.1 years |
| Median Income | $45,213 | $49,162 |
| Married Families | 25.0% | 27.0% |
| Poverty Level | 13% | 17% |
| Unemployment Rate | 6.1 | 5.1 |
Population Comparison: Newberry vs Marshall
- The population in Marshall is higher at 23,641, compared to 1,446 in Newberry.
- Residents in Newberry have a higher median age of 38.6 years compared to 34.1 years in Marshall.
- Marshall has a higher median income of $49,162, compared to $45,213 in Newberry.
- In Marshall, the percentage of married families is higher at 27.0%, compared to 25.0% in Newberry.
- The poverty level is higher in Marshall at 17%, compared to 13% in Newberry.
- The unemployment rate in Newberry is higher at 6.1%, compared to 5.1% in Marshall.
Demographics
Demographics Newberry vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Newberry | Marshall |
|---|---|---|
| Black | Data is updating | 40 |
| White | 93 | 28 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 20 |
| Two or More Races | 3 | 11 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Newberry vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 0% in Newberry.
- Newberry 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 Newberry.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 1% in Newberry.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 3% in Newberry.
- A greater percentage of American Indian residents live in Newberry at 3% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Newberry | Marshall |
|---|---|---|
| Mental Health Not Good | 19.3% | 19.2% |
| Physical Health Not Good | 13.3% | 13.8% |
| Depression | 26.9% | 22.7% |
| Smoking | 23.2% | 21.0% |
| Binge Drinking | 17.9% | 16.2% |
| Obesity | 37.8% | 42.0% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Newberry vs Marshall
- More residents in Newberry report poor mental health at 19.3% compared to 19.2% in Marshall.
- Depression is more prevalent in Newberry at 26.9% compared to 22.7% in Marshall.
- Smoking is more prevalent in Newberry at 23.2% compared to 21.0% in Marshall.
- Binge drinking is more common in Newberry at 17.9% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 37.8% in Newberry.
- Disability percentages are higher in Newberry at 19.0% 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 | Newberry | Marshall |
|---|---|---|
| No Schooling | 0.1% (1) | 0.8% (195) |
| High School Diploma | 13.8% (200) | 18.7% (4,412) |
| Less than High School | 11.2% (162) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 9.0% (130) | 13.2% (3,127) |
Education Levels Comparison: Newberry vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Newberry.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 13.8% in Newberry.
- More residents in Newberry have less than a high school education at 11.2% 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 9.0% in Newberry.
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.