Demographics details for Greenwood, IN vs Franklin, TX
Population Overview
Compare main population characteristics in Greenwood, IN vs Franklin, TX.
Data | Greenwood | Franklin |
---|---|---|
Population | 65,406 | 10,618 |
Median Age | 36.2 years | 42.9 years |
Median Income | $75,398 | $67,915 |
Married Families | 40.0% | 42.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.8 | 4.6 |
Population Comparison: Greenwood vs Franklin
- In Greenwood, the population is higher at 65,406, compared to 10,618 in Franklin.
- The median age in Franklin is higher at 42.9 years, compared to 36.2 years in Greenwood.
- Greenwood has a higher median income of $75,398 compared to $67,915 in Franklin.
- In Franklin, the percentage of married families is higher at 42.0%, compared to 40.0% in Greenwood.
- The poverty level is higher in Franklin at 12%, compared to 7% in Greenwood.
- Franklin has a higher unemployment rate at 4.6% compared to 3.8% in Greenwood.
Demographics
Demographics Greenwood vs Franklin provide insight into the diversity of the communities to compare.
Demographic | Greenwood | Franklin |
---|---|---|
Black | 4 | 4 |
White | 76 | 69 |
Asian | 7 | Data is updating |
Hispanic | 7 | 15 |
Two or More Races | 6 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Greenwood vs Franklin
- The percentage of Black residents is the same in both Greenwood and Franklin at 4%.
- Greenwood has a higher percentage of White residents at 76% compared to 69% in Franklin.
- The Asian population is larger in Greenwood at 7% compared to 0% in Franklin.
- Franklin has a higher percentage of Hispanic residents at 15%, compared to 7% in Greenwood.
- The percentage of residents identifying as two or more races is higher in Franklin at 12%, compared to 6% in Greenwood.
- The percentage of American Indian residents is the same in both Greenwood and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greenwood | Franklin |
---|---|---|
Mental Health Not Good | 16.5% | 16.3% |
Physical Health Not Good | 10.4% | 10.3% |
Depression | 27.4% | 23.5% |
Smoking | 17.2% | 14.8% |
Binge Drinking | 16.9% | 19.8% |
Obesity | 40.0% | 33.2% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Greenwood vs Franklin
- More residents in Greenwood report poor mental health at 16.5% compared to 16.3% in Franklin.
- Depression is more prevalent in Greenwood at 27.4% compared to 23.5% in Franklin.
- Smoking is more prevalent in Greenwood at 17.2% compared to 14.8% in Franklin.
- More residents engage in binge drinking in Franklin at 19.8% compared to 16.9% in Greenwood.
- Obesity rates are higher in Greenwood at 40.0% compared to 33.2% in Franklin.
- There is a higher percentage of disabled individuals in Franklin at 15.0% compared to 9.0% in Greenwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Greenwood | Franklin |
---|---|---|
No Schooling | 1.5% (1,000) | 0.5% (51) |
High School Diploma | 17.0% (11,136) | 15.0% (1,588) |
Less than High School | 10.7% (6,995) | 11.3% (1,197) |
Bachelor's Degree and Higher | 20.0% (13,060) | 21.2% (2,251) |
Education Levels Comparison: Greenwood vs Franklin
- A higher percentage of residents in Greenwood have no formal schooling at 1.5% compared to 0.5% in Franklin.
- A higher percentage of residents in Greenwood hold a high school diploma at 17.0% compared to 15.0% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 11.3%, compared to 10.7% in Greenwood.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 21.2% compared to 20.0% in Greenwood.
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.