Demographics details for Hurst, TX vs Isabella, OK
Population Overview
Compare main population characteristics in Hurst, TX vs Isabella, OK.
| Data | Hurst | Isabella |
|---|---|---|
| Population | 39,634 | 86 |
| Median Age | 38.1 years | 28.6 years |
| Median Income | $71,275 | $56,550 |
| Married Families | 40.0% | 42.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.2 | 2.5 |
Population Comparison: Hurst vs Isabella
- In Hurst, the population is higher at 39,634, compared to 86 in Isabella.
- Residents in Hurst have a higher median age of 38.1 years compared to 28.6 years in Isabella.
- Hurst has a higher median income of $71,275 compared to $56,550 in Isabella.
- In Isabella, the percentage of married families is higher at 42.0%, compared to 40.0% in Hurst.
- The poverty level is higher in Isabella at 10%, compared to 8% in Hurst.
- The unemployment rate in Hurst is higher at 4.2%, compared to 2.5% in Isabella.
Demographics
Demographics Hurst vs Isabella provide insight into the diversity of the communities to compare.
| Demographic | Hurst | Isabella |
|---|---|---|
| Black | 10 | Data is updating |
| White | 46 | 86 |
| Asian | 4 | Data is updating |
| Hispanic | 26 | Data is updating |
| Two or More Races | 13 | Data is updating |
| American Indian | 1 | 14 |
Demographics Comparison: Hurst vs Isabella
- A higher percentage of Black residents are in Hurst at 10% compared to 0% in Isabella.
- The percentage of White residents is higher in Isabella at 86% compared to 46% in Hurst.
- The Asian population is larger in Hurst at 4% compared to 0% in Isabella.
- The Hispanic community is larger in Hurst at 26% compared to 0% in Isabella.
- More residents identify as two or more races in Hurst at 13% compared to 0% in Isabella.
- In Isabella, the percentage of American Indian residents is higher at 14%, compared to 1% in Hurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hurst | Isabella |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.1% |
| Physical Health Not Good | 11.3% | 11.9% |
| Depression | 24.0% | 23.6% |
| Smoking | 15.6% | 19.0% |
| Binge Drinking | 17.7% | 16.1% |
| Obesity | 34.0% | 42.6% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Hurst vs Isabella
- In Isabella, a higher percentage report poor mental health at 17.1% compared to 16.8% in Hurst.
- Depression is more prevalent in Hurst at 24.0% compared to 23.6% in Isabella.
- Isabella has a higher smoking rate at 19.0% compared to 15.6% in Hurst.
- Binge drinking is more common in Hurst at 17.7% compared to 16.1% in Isabella.
- Isabella has higher obesity rates at 42.6% compared to 34.0% in Hurst.
- Disability percentages are higher in Hurst at 12.0% compared to 0.0% in Isabella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hurst | Isabella |
|---|---|---|
| No Schooling | 1.2% (463) | 0.0% (Data is updating) |
| High School Diploma | 12.8% (5,070) | 44.2% (38) |
| Less than High School | 12.8% (5,090) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 23.0% (9,125) | 16.3% (14) |
Education Levels Comparison: Hurst vs Isabella
- A higher percentage of residents in Hurst have no formal schooling at 1.2% compared to 0.0% in Isabella.
- In Isabella, the rate of residents with high school diplomas is higher at 44.2% compared to 12.8% in Hurst.
- More residents in Hurst have less than a high school education at 12.8% compared to 0.0% in Isabella.
- A higher percentage of residents in Hurst hold a bachelor's degree or higher at 23.0% compared to 16.3% in Isabella.
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.