Demographics details for Everest, KS vs Sulphur springs, TX
Population Overview
Compare main population characteristics in Everest, KS vs Sulphur springs, TX.
Data | Everest | Sulphur springs |
---|---|---|
Population | 258 | 16,408 |
Median Age | 34.5 years | 39.4 years |
Median Income | $44,375 | $54,950 |
Married Families | 50.0% | 39.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Everest vs Sulphur springs
- The population in Sulphur springs is higher at 16,408, compared to 258 in Everest.
- The median age in Sulphur springs is higher at 39.4 years, compared to 34.5 years in Everest.
- Sulphur springs has a higher median income of $54,950, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 39.0% in Sulphur springs.
- The poverty level is higher in Sulphur springs at 15%, compared to 11% in Everest.
- Sulphur springs has a higher unemployment rate at 4.5% compared to 3.5% in Everest.
Demographics
Demographics Everest vs Sulphur springs provide insight into the diversity of the communities to compare.
Demographic | Everest | Sulphur springs |
---|---|---|
Black | 2 | 14 |
White | 90 | 63 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 17 |
Two or More Races | 6 | 5 |
American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs Sulphur springs
- In Sulphur springs, the percentage of Black residents is higher at 14% compared to 2% in Everest.
- Everest has a higher percentage of White residents at 90% compared to 63% in Sulphur springs.
- In Sulphur springs, the Asian population stands at 1%, greater than 0% in Everest.
- Sulphur springs has a higher percentage of Hispanic residents at 17%, compared to 0% in Everest.
- More residents identify as two or more races in Everest at 6% compared to 5% in Sulphur springs.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Sulphur springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Everest | Sulphur springs |
---|---|---|
Mental Health Not Good | 17.3% | 19.1% |
Physical Health Not Good | 11.2% | 13.2% |
Depression | 22.4% | 24.8% |
Smoking | 20.4% | 20.1% |
Binge Drinking | 19.1% | 17.5% |
Obesity | 37.8% | 39.5% |
Disability Percentage | 50.0% | 15.0% |
Health Statistics Comparison: Everest vs Sulphur springs
- In Sulphur springs, a higher percentage report poor mental health at 19.1% compared to 17.3% in Everest.
- Higher depression rates are seen in Sulphur springs at 24.8% versus 22.4% in Everest.
- Smoking is more prevalent in Everest at 20.4% compared to 20.1% in Sulphur springs.
- Binge drinking is more common in Everest at 19.1% compared to 17.5% in Sulphur springs.
- Sulphur springs has higher obesity rates at 39.5% compared to 37.8% in Everest.
- Disability percentages are higher in Everest at 50.0% compared to 15.0% in Sulphur springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Everest | Sulphur springs |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (127) |
High School Diploma | 26.4% (68) | 18.3% (3,003) |
Less than High School | 17.8% (46) | 16.0% (2,628) |
Bachelor's Degree and Higher | 36.8% (95) | 13.7% (2,248) |
Education Levels Comparison: Everest vs Sulphur springs
- In Sulphur springs, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 18.3% in Sulphur springs.
- More residents in Everest have less than a high school education at 17.8% compared to 16.0% in Sulphur springs.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 13.7% in Sulphur springs.
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.