Demographics details for Ogema, MN vs Marshall, TX
Population Overview
Compare main population characteristics in Ogema, MN vs Marshall, TX.
| Data | Ogema | Marshall |
|---|---|---|
| Population | 204 | 23,641 |
| Median Age | 28.5 years | 34.1 years |
| Median Income | $51,750 | $49,162 |
| Married Families | 26.0% | 27.0% |
| Poverty Level | 10% | 17% |
| Unemployment Rate | 4.3 | 5.1 |
Population Comparison: Ogema vs Marshall
- The population in Marshall is higher at 23,641, compared to 204 in Ogema.
- The median age in Marshall is higher at 34.1 years, compared to 28.5 years in Ogema.
- Ogema has a higher median income of $51,750 compared to $49,162 in Marshall.
- In Marshall, the percentage of married families is higher at 27.0%, compared to 26.0% in Ogema.
- The poverty level is higher in Marshall at 17%, compared to 10% in Ogema.
- Marshall has a higher unemployment rate at 5.1% compared to 4.3% in Ogema.
Demographics
Demographics Ogema vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Marshall |
|---|---|---|
| Black | Data is updating | 40 |
| White | 6 | 28 |
| Asian | Data is updating | 1 |
| Hispanic | 12 | 20 |
| Two or More Races | 26 | 11 |
| American Indian | 56 | Data is updating |
Demographics Comparison: Ogema vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 0% in Ogema.
- The percentage of White residents is higher in Marshall at 28% compared to 6% in Ogema.
- In Marshall, the Asian population stands at 1%, greater than 0% in Ogema.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 12% in Ogema.
- More residents identify as two or more races in Ogema at 26% compared to 11% in Marshall.
- A greater percentage of American Indian residents live in Ogema at 56% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Marshall |
|---|---|---|
| Mental Health Not Good | 19.0% | 19.2% |
| Physical Health Not Good | 13.5% | 13.8% |
| Depression | 26.1% | 22.7% |
| Smoking | 26.1% | 21.0% |
| Binge Drinking | 18.8% | 16.2% |
| Obesity | 47.1% | 42.0% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Ogema vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 19.0% in Ogema.
- Depression is more prevalent in Ogema at 26.1% compared to 22.7% in Marshall.
- Smoking is more prevalent in Ogema at 26.1% compared to 21.0% in Marshall.
- Binge drinking is more common in Ogema at 18.8% compared to 16.2% in Marshall.
- Obesity rates are higher in Ogema at 47.1% compared to 42.0% in Marshall.
- There is a higher percentage of disabled individuals in Marshall at 17.0% compared to 13.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Marshall |
|---|---|---|
| No Schooling | 0.5% (1) | 0.8% (195) |
| High School Diploma | 19.6% (40) | 18.7% (4,412) |
| Less than High School | 11.8% (24) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 12.3% (25) | 13.2% (3,127) |
Education Levels Comparison: Ogema vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Ogema.
- A higher percentage of residents in Ogema hold a high school diploma at 19.6% compared to 18.7% in Marshall.
- More residents in Ogema have less than a high school education at 11.8% 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 12.3% in Ogema.
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.