Demographics details for Reading, PA vs Brownfield, TX
Population Overview
Compare main population characteristics in Reading, PA vs Brownfield, TX.
| Data | Reading | Brownfield |
|---|---|---|
| Population | 94,858 | 8,717 |
| Median Age | 31.1 years | 35.7 years |
| Median Income | $42,852 | $41,228 |
| Married Families | 22.0% | 32.0% |
| Poverty Level | 25% | 10% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Reading vs Brownfield
- In Reading, the population is higher at 94,858, compared to 8,717 in Brownfield.
- The median age in Brownfield is higher at 35.7 years, compared to 31.1 years in Reading.
- Reading has a higher median income of $42,852 compared to $41,228 in Brownfield.
- In Brownfield, the percentage of married families is higher at 32.0%, compared to 22.0% in Reading.
- Reading has a higher poverty level at 25% compared to 10% in Brownfield.
- The unemployment rate in Reading is higher at 5.2%, compared to 4.2% in Brownfield.
Demographics
Demographics Reading vs Brownfield provide insight into the diversity of the communities to compare.
| Demographic | Reading | Brownfield |
|---|---|---|
| Black | 11 | 6 |
| White | 60 | 45 |
| Asian | 1 | Data is updating |
| Hispanic | 67 | 65 |
| Two or More Races | 21 | 30 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Reading vs Brownfield
- A higher percentage of Black residents are in Reading at 11% compared to 6% in Brownfield.
- Reading has a higher percentage of White residents at 60% compared to 45% in Brownfield.
- The Asian population is larger in Reading at 1% compared to 0% in Brownfield.
- The Hispanic community is larger in Reading at 67% compared to 65% in Brownfield.
- The percentage of residents identifying as two or more races is higher in Brownfield at 30%, compared to 21% in Reading.
- A greater percentage of American Indian residents live in Reading at 1% compared to 0% in Brownfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Reading | Brownfield |
|---|---|---|
| Mental Health Not Good | 19.7% | 19.0% |
| Physical Health Not Good | 18.1% | 15.7% |
| Depression | 23.1% | 23.8% |
| Smoking | 26.5% | 22.1% |
| Binge Drinking | 13.0% | 16.8% |
| Obesity | 44.7% | 43.5% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Reading vs Brownfield
- More residents in Reading report poor mental health at 19.7% compared to 19.0% in Brownfield.
- Higher depression rates are seen in Brownfield at 23.8% versus 23.1% in Reading.
- Smoking is more prevalent in Reading at 26.5% compared to 22.1% in Brownfield.
- More residents engage in binge drinking in Brownfield at 16.8% compared to 13.0% in Reading.
- Obesity rates are higher in Reading at 44.7% compared to 43.5% in Brownfield.
- Disability percentages are higher in Reading at 20.0% compared to 16.0% in Brownfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Reading | Brownfield |
|---|---|---|
| No Schooling | 2.6% (2,442) | 2.6% (229) |
| High School Diploma | 17.8% (16,896) | 18.9% (1,651) |
| Less than High School | 32.2% (30,522) | 31.1% (2,709) |
| Bachelor's Degree and Higher | 6.9% (6,512) | 5.4% (475) |
Education Levels Comparison: Reading vs Brownfield
- The percentage of residents with no formal schooling is the same in both Reading and Brownfield at 2.6%.
- In Brownfield, the rate of residents with high school diplomas is higher at 18.9% compared to 17.8% in Reading.
- More residents in Reading have less than a high school education at 32.2% compared to 31.1% in Brownfield.
- A higher percentage of residents in Reading hold a bachelor's degree or higher at 6.9% compared to 5.4% in Brownfield.
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.