Demographics details for Ogema, MN vs Taylorville, IL
Population Overview
Compare main population characteristics in Ogema, MN vs Taylorville, IL.
| Data | Ogema | Taylorville |
|---|---|---|
| Population | 204 | 10,312 |
| Median Age | 28.5 years | 38.2 years |
| Median Income | $51,750 | $49,471 |
| Married Families | 26.0% | 35.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Ogema vs Taylorville
- The population in Taylorville is higher at 10,312, compared to 204 in Ogema.
- The median age in Taylorville is higher at 38.2 years, compared to 28.5 years in Ogema.
- Ogema has a higher median income of $51,750 compared to $49,471 in Taylorville.
- In Taylorville, the percentage of married families is higher at 35.0%, compared to 26.0% in Ogema.
- The poverty level is identical in both Ogema and Taylorville at 10%.
- The unemployment rate in Ogema is higher at 4.3%, compared to 3.5% in Taylorville.
Demographics
Demographics Ogema vs Taylorville provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Taylorville |
|---|---|---|
| Black | Data is updating | 6 |
| White | 6 | 91 |
| Asian | Data is updating | 2 |
| Hispanic | 12 | Data is updating |
| Two or More Races | 26 | 1 |
| American Indian | 56 | Data is updating |
Demographics Comparison: Ogema vs Taylorville
- In Taylorville, the percentage of Black residents is higher at 6% compared to 0% in Ogema.
- The percentage of White residents is higher in Taylorville at 91% compared to 6% in Ogema.
- In Taylorville, the Asian population stands at 2%, greater than 0% in Ogema.
- The Hispanic community is larger in Ogema at 12% compared to 0% in Taylorville.
- More residents identify as two or more races in Ogema at 26% compared to 1% in Taylorville.
- A greater percentage of American Indian residents live in Ogema at 56% compared to 0% in Taylorville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Taylorville |
|---|---|---|
| Mental Health Not Good | 19.0% | 17.9% |
| Physical Health Not Good | 13.5% | 12.6% |
| Depression | 26.1% | 22.9% |
| Smoking | 26.1% | 20.7% |
| Binge Drinking | 18.8% | 17.2% |
| Obesity | 47.1% | 39.7% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Ogema vs Taylorville
- More residents in Ogema report poor mental health at 19.0% compared to 17.9% in Taylorville.
- Depression is more prevalent in Ogema at 26.1% compared to 22.9% in Taylorville.
- Smoking is more prevalent in Ogema at 26.1% compared to 20.7% in Taylorville.
- Binge drinking is more common in Ogema at 18.8% compared to 17.2% in Taylorville.
- Obesity rates are higher in Ogema at 47.1% compared to 39.7% in Taylorville.
- There is a higher percentage of disabled individuals in Taylorville at 16.0% 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 | Taylorville |
|---|---|---|
| No Schooling | 0.5% (1) | 0.6% (63) |
| High School Diploma | 19.6% (40) | 28.5% (2,938) |
| Less than High School | 11.8% (24) | 9.1% (938) |
| Bachelor's Degree and Higher | 12.3% (25) | 13.6% (1,406) |
Education Levels Comparison: Ogema vs Taylorville
- In Taylorville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Ogema.
- In Taylorville, the rate of residents with high school diplomas is higher at 28.5% compared to 19.6% in Ogema.
- More residents in Ogema have less than a high school education at 11.8% compared to 9.1% in Taylorville.
- In Taylorville, a larger share of residents have a bachelor's degree or higher at 13.6% 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.