Demographics details for Harker heights, TX vs Marathon, IA
Population Overview
Compare main population characteristics in Harker heights, TX vs Marathon, IA.
Data | Harker heights | Marathon |
---|---|---|
Population | 34,102 | 223 |
Median Age | 34.5 years | 46.5 years |
Median Income | $72,258 | $38,750 |
Married Families | 35.0% | 42.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 5.0 | 3.0 |
Population Comparison: Harker heights vs Marathon
- In Harker heights, the population is higher at 34,102, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 34.5 years in Harker heights.
- Harker heights has a higher median income of $72,258 compared to $38,750 in Marathon.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 35.0% in Harker heights.
- The poverty level is higher in Marathon at 13%, compared to 9% in Harker heights.
- The unemployment rate in Harker heights is higher at 5.0%, compared to 3.0% in Marathon.
Demographics
Demographics Harker heights vs Marathon provide insight into the diversity of the communities to compare.
Demographic | Harker heights | Marathon |
---|---|---|
Black | 28 | Data is updating |
White | 36 | 86 |
Asian | 3 | Data is updating |
Hispanic | 21 | 6 |
Two or More Races | 11 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Harker heights vs Marathon
- A higher percentage of Black residents are in Harker heights at 28% compared to 0% in Marathon.
- The percentage of White residents is higher in Marathon at 86% compared to 36% in Harker heights.
- The Asian population is larger in Harker heights at 3% compared to 0% in Marathon.
- The Hispanic community is larger in Harker heights at 21% compared to 6% in Marathon.
- More residents identify as two or more races in Harker heights at 11% compared to 8% in Marathon.
- A greater percentage of American Indian residents live in Harker heights at 1% compared to 0% in Marathon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Harker heights | Marathon |
---|---|---|
Mental Health Not Good | 16.5% | 14.5% |
Physical Health Not Good | 10.8% | 9.4% |
Depression | 22.5% | 16.0% |
Smoking | 15.5% | 17.3% |
Binge Drinking | 17.1% | 21.5% |
Obesity | 37.1% | 33.9% |
Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Harker heights vs Marathon
- More residents in Harker heights report poor mental health at 16.5% compared to 14.5% in Marathon.
- Depression is more prevalent in Harker heights at 22.5% compared to 16.0% in Marathon.
- Marathon has a higher smoking rate at 17.3% compared to 15.5% in Harker heights.
- More residents engage in binge drinking in Marathon at 21.5% compared to 17.1% in Harker heights.
- Obesity rates are higher in Harker heights at 37.1% compared to 33.9% in Marathon.
- There is a higher percentage of disabled individuals in Marathon at 17.0% compared to 13.0% in Harker heights.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Harker heights | Marathon |
---|---|---|
No Schooling | 1.3% (448) | 1.3% (3) |
High School Diploma | 11.6% (3,958) | 23.8% (53) |
Less than High School | 10.3% (3,509) | 13.9% (31) |
Bachelor's Degree and Higher | 18.8% (6,403) | 9.0% (20) |
Education Levels Comparison: Harker heights vs Marathon
- The percentage of residents with no formal schooling is the same in both Harker heights and Marathon at 1.3%.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 11.6% in Harker heights.
- The percentage of residents with less than a high school education is higher in Marathon at 13.9%, compared to 10.3% in Harker heights.
- A higher percentage of residents in Harker heights hold a bachelor's degree or higher at 18.8% compared to 9.0% in Marathon.
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.