Demographics details for Franklin, IN vs Mount vernon, TX
Population Overview
Compare main population characteristics in Franklin, IN vs Mount vernon, TX.
Data | Franklin | Mount vernon |
---|---|---|
Population | 25,728 | 2,541 |
Median Age | 34.4 years | 31.1 years |
Median Income | $72,344 | $63,750 |
Married Families | 38.0% | 40.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Franklin vs Mount vernon
- In Franklin, the population is higher at 25,728, compared to 2,541 in Mount vernon.
- Residents in Franklin have a higher median age of 34.4 years compared to 31.1 years in Mount vernon.
- Franklin has a higher median income of $72,344 compared to $63,750 in Mount vernon.
- In Mount vernon, the percentage of married families is higher at 40.0%, compared to 38.0% in Franklin.
- The poverty level is higher in Mount vernon at 10%, compared to 9% in Franklin.
- Mount vernon has a higher unemployment rate at 4.5% compared to 4.1% in Franklin.
Demographics
Demographics Franklin vs Mount vernon provide insight into the diversity of the communities to compare.
Demographic | Franklin | Mount vernon |
---|---|---|
Black | 4 | 15 |
White | 87 | 50 |
Asian | 1 | Data is updating |
Hispanic | 3 | 21 |
Two or More Races | 5 | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Franklin vs Mount vernon
- In Mount vernon, the percentage of Black residents is higher at 15% compared to 4% in Franklin.
- Franklin has a higher percentage of White residents at 87% compared to 50% in Mount vernon.
- The Asian population is larger in Franklin at 1% compared to 0% in Mount vernon.
- Mount vernon has a higher percentage of Hispanic residents at 21%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Mount vernon at 14%, compared to 5% in Franklin.
- The percentage of American Indian residents is the same in both Franklin and Mount vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Franklin | Mount vernon |
---|---|---|
Mental Health Not Good | 17.7% | 18.1% |
Physical Health Not Good | 11.4% | 11.8% |
Depression | 28.9% | 24.9% |
Smoking | 19.2% | 17.6% |
Binge Drinking | 16.9% | 18.5% |
Obesity | 41.6% | 35.4% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Franklin vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 18.1% compared to 17.7% in Franklin.
- Depression is more prevalent in Franklin at 28.9% compared to 24.9% in Mount vernon.
- Smoking is more prevalent in Franklin at 19.2% compared to 17.6% in Mount vernon.
- More residents engage in binge drinking in Mount vernon at 18.5% compared to 16.9% in Franklin.
- Obesity rates are higher in Franklin at 41.6% compared to 35.4% in Mount vernon.
- There is a higher percentage of disabled individuals in Mount vernon at 17.0% 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 | Mount vernon |
---|---|---|
No Schooling | 0.6% (148) | 0.6% (16) |
High School Diploma | 19.1% (4,910) | 15.7% (399) |
Less than High School | 8.9% (2,296) | 21.8% (555) |
Bachelor's Degree and Higher | 13.4% (3,460) | 11.1% (282) |
Education Levels Comparison: Franklin vs Mount vernon
- The percentage of residents with no formal schooling is the same in both Franklin and Mount vernon at 0.6%.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 15.7% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Mount vernon at 21.8%, 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 11.1% in Mount vernon.
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.