Demographics details for Garland, TX vs Everest, KS
Population Overview
Compare main population characteristics in Garland, TX vs Everest, KS.
Data | Garland | Everest |
---|---|---|
Population | 240,854 | 258 |
Median Age | 34.4 years | 34.5 years |
Median Income | $71,044 | $44,375 |
Married Families | 39.0% | 50.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Garland vs Everest
- In Garland, the population is higher at 240,854, compared to 258 in Everest.
- The median age in Everest is higher at 34.5 years, compared to 34.4 years in Garland.
- Garland has a higher median income of $71,044 compared to $44,375 in Everest.
- In Everest, the percentage of married families is higher at 50.0%, compared to 39.0% in Garland.
- Garland has a higher poverty level at 12% compared to 11% in Everest.
- The unemployment rate in Garland is higher at 4.0%, compared to 3.5% in Everest.
Demographics
Demographics Garland vs Everest provide insight into the diversity of the communities to compare.
Demographic | Garland | Everest |
---|---|---|
Black | 16 | 2 |
White | 6 | 90 |
Asian | 11 | Data is updating |
Hispanic | 45 | Data is updating |
Two or More Races | 21 | 6 |
American Indian | 1 | 2 |
Demographics Comparison: Garland vs Everest
- A higher percentage of Black residents are in Garland at 16% compared to 2% in Everest.
- The percentage of White residents is higher in Everest at 90% compared to 6% in Garland.
- The Asian population is larger in Garland at 11% compared to 0% in Everest.
- The Hispanic community is larger in Garland at 45% compared to 0% in Everest.
- More residents identify as two or more races in Garland at 21% compared to 6% in Everest.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 1% in Garland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Garland | Everest |
---|---|---|
Mental Health Not Good | 17.1% | 17.3% |
Physical Health Not Good | 12.1% | 11.2% |
Depression | 22.2% | 22.4% |
Smoking | 17.2% | 20.4% |
Binge Drinking | 17.6% | 19.1% |
Obesity | 33.9% | 37.8% |
Disability Percentage | 9.0% | 50.0% |
Health Statistics Comparison: Garland vs Everest
- In Everest, a higher percentage report poor mental health at 17.3% compared to 17.1% in Garland.
- Higher depression rates are seen in Everest at 22.4% versus 22.2% in Garland.
- Everest has a higher smoking rate at 20.4% compared to 17.2% in Garland.
- More residents engage in binge drinking in Everest at 19.1% compared to 17.6% in Garland.
- Everest has higher obesity rates at 37.8% compared to 33.9% in Garland.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 9.0% in Garland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Garland | Everest |
---|---|---|
No Schooling | 2.5% (6,080) | 0.0% (Data is updating) |
High School Diploma | 13.9% (33,524) | 26.4% (68) |
Less than High School | 24.7% (59,406) | 17.8% (46) |
Bachelor's Degree and Higher | 15.5% (37,249) | 36.8% (95) |
Education Levels Comparison: Garland vs Everest
- A higher percentage of residents in Garland have no formal schooling at 2.5% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 13.9% in Garland.
- More residents in Garland have less than a high school education at 24.7% compared to 17.8% in Everest.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 15.5% in Garland.
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.