Demographics details for Franklin, IN vs Ogema, MN
Population Overview
Compare main population characteristics in Franklin, IN vs Ogema, MN.
| Data | Franklin | Ogema |
|---|---|---|
| Population | 25,728 | 204 |
| Median Age | 34.4 years | 28.5 years |
| Median Income | $72,344 | $51,750 |
| Married Families | 38.0% | 26.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.1 | 4.3 |
Population Comparison: Franklin vs Ogema
- In Franklin, the population is higher at 25,728, compared to 204 in Ogema.
- Residents in Franklin have a higher median age of 34.4 years compared to 28.5 years in Ogema.
- Franklin has a higher median income of $72,344 compared to $51,750 in Ogema.
- A higher percentage of married families is found in Franklin at 38.0% compared to 26.0% in Ogema.
- The poverty level is higher in Ogema at 10%, compared to 9% in Franklin.
- Ogema has a higher unemployment rate at 4.3% compared to 4.1% in Franklin.
Demographics
Demographics Franklin vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Ogema |
|---|---|---|
| Black | 4 | Data is updating |
| White | 87 | 6 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 12 |
| Two or More Races | 5 | 26 |
| American Indian | Data is updating | 56 |
Demographics Comparison: Franklin vs Ogema
- A higher percentage of Black residents are in Franklin at 4% compared to 0% in Ogema.
- Franklin has a higher percentage of White residents at 87% compared to 6% in Ogema.
- The Asian population is larger in Franklin at 1% compared to 0% in Ogema.
- Ogema has a higher percentage of Hispanic residents at 12%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Ogema at 26%, compared to 5% in Franklin.
- In Ogema, the percentage of American Indian residents is higher at 56%, compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Ogema |
|---|---|---|
| Mental Health Not Good | 17.7% | 19.0% |
| Physical Health Not Good | 11.4% | 13.5% |
| Depression | 28.9% | 26.1% |
| Smoking | 19.2% | 26.1% |
| Binge Drinking | 16.9% | 18.8% |
| Obesity | 41.6% | 47.1% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Franklin vs Ogema
- In Ogema, a higher percentage report poor mental health at 19.0% compared to 17.7% in Franklin.
- Depression is more prevalent in Franklin at 28.9% compared to 26.1% in Ogema.
- Ogema has a higher smoking rate at 26.1% compared to 19.2% in Franklin.
- More residents engage in binge drinking in Ogema at 18.8% compared to 16.9% in Franklin.
- Ogema has higher obesity rates at 47.1% compared to 41.6% in Franklin.
- There is a higher percentage of disabled individuals in Ogema at 13.0% compared to 12.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Ogema |
|---|---|---|
| No Schooling | 0.6% (148) | 0.5% (1) |
| High School Diploma | 19.1% (4,910) | 19.6% (40) |
| Less than High School | 8.9% (2,296) | 11.8% (24) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 12.3% (25) |
Education Levels Comparison: Franklin vs Ogema
- A higher percentage of residents in Franklin have no formal schooling at 0.6% compared to 0.5% in Ogema.
- In Ogema, the rate of residents with high school diplomas is higher at 19.6% compared to 19.1% in Franklin.
- The percentage of residents with less than a high school education is higher in Ogema at 11.8%, compared to 8.9% in Franklin.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 13.4% 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.