Demographics details for Greenwood, IN vs Kingston, TN
Population Overview
Compare main population characteristics in Greenwood, IN vs Kingston, TN.
Data | Greenwood | Kingston |
---|---|---|
Population | 65,406 | 6,115 |
Median Age | 36.2 years | 44.7 years |
Median Income | $75,398 | $67,637 |
Married Families | 40.0% | 37.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.8 | 3.4 |
Population Comparison: Greenwood vs Kingston
- In Greenwood, the population is higher at 65,406, compared to 6,115 in Kingston.
- The median age in Kingston is higher at 44.7 years, compared to 36.2 years in Greenwood.
- Greenwood has a higher median income of $75,398 compared to $67,637 in Kingston.
- A higher percentage of married families is found in Greenwood at 40.0% compared to 37.0% in Kingston.
- The poverty level is higher in Kingston at 12%, compared to 7% in Greenwood.
- The unemployment rate in Greenwood is higher at 3.8%, compared to 3.4% in Kingston.
Demographics
Demographics Greenwood vs Kingston provide insight into the diversity of the communities to compare.
Demographic | Greenwood | Kingston |
---|---|---|
Black | 4 | 4 |
White | 76 | 91 |
Asian | 7 | Data is updating |
Hispanic | 7 | 2 |
Two or More Races | 6 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Greenwood vs Kingston
- The percentage of Black residents is the same in both Greenwood and Kingston at 4%.
- The percentage of White residents is higher in Kingston at 91% compared to 76% in Greenwood.
- The Asian population is larger in Greenwood at 7% compared to 0% in Kingston.
- The Hispanic community is larger in Greenwood at 7% compared to 2% in Kingston.
- More residents identify as two or more races in Greenwood at 6% compared to 3% in Kingston.
- The percentage of American Indian residents is the same in both Greenwood and Kingston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greenwood | Kingston |
---|---|---|
Mental Health Not Good | 16.5% | 17.7% |
Physical Health Not Good | 10.4% | 11.2% |
Depression | 27.4% | 26.6% |
Smoking | 17.2% | 18.0% |
Binge Drinking | 16.9% | 16.9% |
Obesity | 40.0% | 34.5% |
Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Greenwood vs Kingston
- In Kingston, a higher percentage report poor mental health at 17.7% compared to 16.5% in Greenwood.
- Depression is more prevalent in Greenwood at 27.4% compared to 26.6% in Kingston.
- Kingston has a higher smoking rate at 18.0% compared to 17.2% in Greenwood.
- Binge drinking rates are similar in both Greenwood and Kingston at 16.9%.
- Obesity rates are higher in Greenwood at 40.0% compared to 34.5% in Kingston.
- There is a higher percentage of disabled individuals in Kingston at 20.0% 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 | Kingston |
---|---|---|
No Schooling | 1.5% (1,000) | 0.4% (25) |
High School Diploma | 17.0% (11,136) | 23.4% (1,433) |
Less than High School | 10.7% (6,995) | 10.0% (613) |
Bachelor's Degree and Higher | 20.0% (13,060) | 16.5% (1,009) |
Education Levels Comparison: Greenwood vs Kingston
- A higher percentage of residents in Greenwood have no formal schooling at 1.5% compared to 0.4% in Kingston.
- In Kingston, the rate of residents with high school diplomas is higher at 23.4% compared to 17.0% in Greenwood.
- More residents in Greenwood have less than a high school education at 10.7% compared to 10.0% in Kingston.
- A higher percentage of residents in Greenwood hold a bachelor's degree or higher at 20.0% compared to 16.5% in Kingston.
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.