Demographics details for Montgomery, MN vs Frankfort, KY
Population Overview
Compare main population characteristics in Montgomery, MN vs Frankfort, KY.
| Data | Montgomery | Frankfort |
|---|---|---|
| Population | 3,485 | 28,391 |
| Median Age | 37.9 years | 34.2 years |
| Median Income | $61,677 | $53,905 |
| Married Families | 34.0% | 31.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Montgomery vs Frankfort
- The population in Frankfort is higher at 28,391, compared to 3,485 in Montgomery.
- Residents in Montgomery have a higher median age of 37.9 years compared to 34.2 years in Frankfort.
- Montgomery has a higher median income of $61,677 compared to $53,905 in Frankfort.
- A higher percentage of married families is found in Montgomery at 34.0% compared to 31.0% in Frankfort.
- The poverty level is higher in Frankfort at 12%, compared to 5% in Montgomery.
- Frankfort has a higher unemployment rate at 4.5% compared to 3.2% in Montgomery.
Demographics
Demographics Montgomery vs Frankfort provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Frankfort |
|---|---|---|
| Black | 2 | 12 |
| White | 82 | 71 |
| Asian | Data is updating | 3 |
| Hispanic | 9 | 6 |
| Two or More Races | 5 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Montgomery vs Frankfort
- In Frankfort, the percentage of Black residents is higher at 12% compared to 2% in Montgomery.
- Montgomery has a higher percentage of White residents at 82% compared to 71% in Frankfort.
- In Frankfort, the Asian population stands at 3%, greater than 0% in Montgomery.
- The Hispanic community is larger in Montgomery at 9% compared to 6% in Frankfort.
- The percentage of residents identifying as two or more races is higher in Frankfort at 8%, compared to 5% in Montgomery.
- A greater percentage of American Indian residents live in Montgomery at 2% compared to 0% in Frankfort.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Frankfort |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.1% |
| Physical Health Not Good | 9.4% | 13.0% |
| Depression | 22.7% | 26.4% |
| Smoking | 18.0% | 19.4% |
| Binge Drinking | 21.6% | 14.5% |
| Obesity | 36.9% | 38.6% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Montgomery vs Frankfort
- In Frankfort, a higher percentage report poor mental health at 18.1% compared to 15.2% in Montgomery.
- Higher depression rates are seen in Frankfort at 26.4% versus 22.7% in Montgomery.
- Frankfort has a higher smoking rate at 19.4% compared to 18.0% in Montgomery.
- Binge drinking is more common in Montgomery at 21.6% compared to 14.5% in Frankfort.
- Frankfort has higher obesity rates at 38.6% compared to 36.9% in Montgomery.
- There is a higher percentage of disabled individuals in Frankfort at 16.0% compared to 10.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Frankfort |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (89) |
| High School Diploma | 18.5% (646) | 15.3% (4,339) |
| Less than High School | 6.4% (224) | 11.5% (3,279) |
| Bachelor's Degree and Higher | 10.5% (365) | 18.7% (5,295) |
Education Levels Comparison: Montgomery vs Frankfort
- In Frankfort, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Montgomery.
- A higher percentage of residents in Montgomery hold a high school diploma at 18.5% compared to 15.3% in Frankfort.
- The percentage of residents with less than a high school education is higher in Frankfort at 11.5%, compared to 6.4% in Montgomery.
- In Frankfort, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 10.5% in Montgomery.
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.