Demographics details for Killeen, TX vs Everest, KS
Population Overview
Compare main population characteristics in Killeen, TX vs Everest, KS.
Data | Killeen | Everest |
---|---|---|
Population | 159,172 | 258 |
Median Age | 29.7 years | 34.5 years |
Median Income | $57,086 | $44,375 |
Married Families | 35.0% | 50.0% |
Poverty Level | 15% | 11% |
Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Killeen vs Everest
- In Killeen, the population is higher at 159,172, compared to 258 in Everest.
- The median age in Everest is higher at 34.5 years, compared to 29.7 years in Killeen.
- Killeen has a higher median income of $57,086 compared to $44,375 in Everest.
- In Everest, the percentage of married families is higher at 50.0%, compared to 35.0% in Killeen.
- Killeen has a higher poverty level at 15% compared to 11% in Everest.
- The unemployment rate in Killeen is higher at 6.0%, compared to 3.5% in Everest.
Demographics
Demographics Killeen vs Everest provide insight into the diversity of the communities to compare.
Demographic | Killeen | Everest |
---|---|---|
Black | 38 | 2 |
White | 18 | 90 |
Asian | 4 | Data is updating |
Hispanic | 27 | Data is updating |
Two or More Races | 12 | 6 |
American Indian | 1 | 2 |
Demographics Comparison: Killeen vs Everest
- A higher percentage of Black residents are in Killeen at 38% compared to 2% in Everest.
- The percentage of White residents is higher in Everest at 90% compared to 18% in Killeen.
- The Asian population is larger in Killeen at 4% compared to 0% in Everest.
- The Hispanic community is larger in Killeen at 27% compared to 0% in Everest.
- More residents identify as two or more races in Killeen at 12% compared to 6% in Everest.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 1% in Killeen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Killeen | Everest |
---|---|---|
Mental Health Not Good | 18.3% | 17.3% |
Physical Health Not Good | 13.1% | 11.2% |
Depression | 22.5% | 22.4% |
Smoking | 19.1% | 20.4% |
Binge Drinking | 15.4% | 19.1% |
Obesity | 42.0% | 37.8% |
Disability Percentage | 13.0% | 50.0% |
Health Statistics Comparison: Killeen vs Everest
- More residents in Killeen report poor mental health at 18.3% compared to 17.3% in Everest.
- Depression is more prevalent in Killeen at 22.5% compared to 22.4% in Everest.
- Everest has a higher smoking rate at 20.4% compared to 19.1% in Killeen.
- More residents engage in binge drinking in Everest at 19.1% compared to 15.4% in Killeen.
- Obesity rates are higher in Killeen at 42.0% compared to 37.8% in Everest.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 13.0% in Killeen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Killeen | Everest |
---|---|---|
No Schooling | 0.7% (1,076) | 0.0% (Data is updating) |
High School Diploma | 13.1% (20,789) | 26.4% (68) |
Less than High School | 7.5% (11,859) | 17.8% (46) |
Bachelor's Degree and Higher | 12.7% (20,234) | 36.8% (95) |
Education Levels Comparison: Killeen vs Everest
- A higher percentage of residents in Killeen have no formal schooling at 0.7% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 13.1% in Killeen.
- The percentage of residents with less than a high school education is higher in Everest at 17.8%, compared to 7.5% in Killeen.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 12.7% in Killeen.
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.