Demographics details for Midland, TX vs Roaring spring, PA
Population Overview
Compare main population characteristics in Midland, TX vs Roaring spring, PA.
| Data | Midland | Roaring spring |
|---|---|---|
| Population | 134,444 | 2,333 |
| Median Age | 31.4 years | 36.1 years |
| Median Income | $90,448 | $63,194 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 2.9 | 5.0 |
Population Comparison: Midland vs Roaring spring
- In Midland, the population is higher at 134,444, compared to 2,333 in Roaring spring.
- The median age in Roaring spring is higher at 36.1 years, compared to 31.4 years in Midland.
- Midland has a higher median income of $90,448 compared to $63,194 in Roaring spring.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 40.0% in Midland.
- Midland has a higher poverty level at 12% compared to 10% in Roaring spring.
- Roaring spring has a higher unemployment rate at 5.0% compared to 2.9% in Midland.
Demographics
Demographics Midland vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Midland | Roaring spring |
|---|---|---|
| Black | 8 | 1 |
| White | 29 | 91 |
| Asian | 2 | Data is updating |
| Hispanic | 45 | 3 |
| Two or More Races | 15 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Midland vs Roaring spring
- A higher percentage of Black residents are in Midland at 8% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 29% in Midland.
- The Asian population is larger in Midland at 2% compared to 0% in Roaring spring.
- The Hispanic community is larger in Midland at 45% compared to 3% in Roaring spring.
- More residents identify as two or more races in Midland at 15% compared to 5% in Roaring spring.
- A greater percentage of American Indian residents live in Midland at 1% compared to 0% in Roaring spring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Midland | Roaring spring |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.2% |
| Physical Health Not Good | 11.1% | 12.2% |
| Depression | 21.4% | 25.5% |
| Smoking | 15.0% | 21.4% |
| Binge Drinking | 18.6% | 18.5% |
| Obesity | 35.3% | 34.7% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Midland vs Roaring spring
- In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 16.1% in Midland.
- Higher depression rates are seen in Roaring spring at 25.5% versus 21.4% in Midland.
- Roaring spring has a higher smoking rate at 21.4% compared to 15.0% in Midland.
- Binge drinking is more common in Midland at 18.6% compared to 18.5% in Roaring spring.
- Obesity rates are higher in Midland at 35.3% compared to 34.7% in Roaring spring.
- There is a higher percentage of disabled individuals in Roaring spring at 14.0% compared to 9.0% in Midland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Midland | Roaring spring |
|---|---|---|
| No Schooling | 2.8% (3,705) | 0.4% (9) |
| High School Diploma | 10.2% (13,724) | 25.9% (605) |
| Less than High School | 17.6% (23,705) | 7.2% (168) |
| Bachelor's Degree and Higher | 19.5% (26,213) | 13.5% (316) |
Education Levels Comparison: Midland vs Roaring spring
- A higher percentage of residents in Midland have no formal schooling at 2.8% compared to 0.4% in Roaring spring.
- In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 10.2% in Midland.
- More residents in Midland have less than a high school education at 17.6% compared to 7.2% in Roaring spring.
- A higher percentage of residents in Midland hold a bachelor's degree or higher at 19.5% compared to 13.5% in Roaring spring.
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.