Demographics details for Kingsport, TN vs Post falls, ID
Population Overview
Compare main population characteristics in Kingsport, TN vs Post falls, ID.
Data | Kingsport | Post falls |
---|---|---|
Population | 56,150 | 44,194 |
Median Age | 44.6 years | 34.5 years |
Median Income | $48,228 | $71,042 |
Married Families | 38.0% | 35.0% |
Poverty Level | 13% | 8% |
Unemployment Rate | 4.2 | 3.7 |
Population Comparison: Kingsport vs Post falls
- In Kingsport, the population is higher at 56,150, compared to 44,194 in Post falls.
- Residents in Kingsport have a higher median age of 44.6 years compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042, compared to $48,228 in Kingsport.
- A higher percentage of married families is found in Kingsport at 38.0% compared to 35.0% in Post falls.
- Kingsport has a higher poverty level at 13% compared to 8% in Post falls.
- The unemployment rate in Kingsport is higher at 4.2%, compared to 3.7% in Post falls.
Demographics
Demographics Kingsport vs Post falls provide insight into the diversity of the communities to compare.
Demographic | Kingsport | Post falls |
---|---|---|
Black | 3 | Data is updating |
White | 89 | 87 |
Asian | 1 | Data is updating |
Hispanic | 3 | 5 |
Two or More Races | 4 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Kingsport vs Post falls
- A higher percentage of Black residents are in Kingsport at 3% compared to 0% in Post falls.
- Kingsport has a higher percentage of White residents at 89% compared to 87% in Post falls.
- The Asian population is larger in Kingsport at 1% compared to 0% in Post falls.
- Post falls has a higher percentage of Hispanic residents at 5%, compared to 3% in Kingsport.
- The percentage of residents identifying as two or more races is higher in Post falls at 7%, compared to 4% in Kingsport.
- In Post falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingsport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingsport | Post falls |
---|---|---|
Mental Health Not Good | 20.3% | 16.9% |
Physical Health Not Good | 13.9% | 12.3% |
Depression | 30.7% | 22.9% |
Smoking | 22.2% | 18.6% |
Binge Drinking | 13.8% | 17.6% |
Obesity | 37.0% | 29.8% |
Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Kingsport vs Post falls
- More residents in Kingsport report poor mental health at 20.3% compared to 16.9% in Post falls.
- Depression is more prevalent in Kingsport at 30.7% compared to 22.9% in Post falls.
- Smoking is more prevalent in Kingsport at 22.2% compared to 18.6% in Post falls.
- More residents engage in binge drinking in Post falls at 17.6% compared to 13.8% in Kingsport.
- Obesity rates are higher in Kingsport at 37.0% compared to 29.8% in Post falls.
- Disability percentages are higher in Kingsport at 21.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kingsport | Post falls |
---|---|---|
No Schooling | 0.6% (359) | 0.3% (121) |
High School Diploma | 18.7% (10,481) | 14.1% (6,217) |
Less than High School | 14.2% (7,995) | 7.7% (3,421) |
Bachelor's Degree and Higher | 21.6% (12,103) | 13.1% (5,799) |
Education Levels Comparison: Kingsport vs Post falls
- A higher percentage of residents in Kingsport have no formal schooling at 0.6% compared to 0.3% in Post falls.
- A higher percentage of residents in Kingsport hold a high school diploma at 18.7% compared to 14.1% in Post falls.
- More residents in Kingsport have less than a high school education at 14.2% compared to 7.7% in Post falls.
- A higher percentage of residents in Kingsport hold a bachelor's degree or higher at 21.6% compared to 13.1% in Post falls.
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.