Demographics details for Grand prairie, TX vs Reading, PA
Population Overview
Compare main population characteristics in Grand prairie, TX vs Reading, PA.
Data | Grand prairie | Reading |
---|---|---|
Population | 201,843 | 94,858 |
Median Age | 33.7 years | 31.1 years |
Median Income | $76,626 | $42,852 |
Married Families | 38.0% | 22.0% |
Poverty Level | 14% | 25% |
Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Grand prairie vs Reading
- In Grand prairie, the population is higher at 201,843, compared to 94,858 in Reading.
- Residents in Grand prairie have a higher median age of 33.7 years compared to 31.1 years in Reading.
- Grand prairie has a higher median income of $76,626 compared to $42,852 in Reading.
- A higher percentage of married families is found in Grand prairie at 38.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 14% in Grand prairie.
- Reading has a higher unemployment rate at 5.2% compared to 4.5% in Grand prairie.
Demographics
Demographics Grand prairie vs Reading provide insight into the diversity of the communities to compare.
Demographic | Grand prairie | Reading |
---|---|---|
Black | 23 | 11 |
White | 9 | 60 |
Asian | 7 | 1 |
Hispanic | 46 | 67 |
Two or More Races | 14 | 21 |
American Indian | 1 | 1 |
Demographics Comparison: Grand prairie vs Reading
- A higher percentage of Black residents are in Grand prairie at 23% compared to 11% in Reading.
- The percentage of White residents is higher in Reading at 60% compared to 9% in Grand prairie.
- The Asian population is larger in Grand prairie at 7% compared to 1% in Reading.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 46% in Grand prairie.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 14% in Grand prairie.
- The percentage of American Indian residents is the same in both Grand prairie and Reading at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grand prairie | Reading |
---|---|---|
Mental Health Not Good | 16.5% | 19.7% |
Physical Health Not Good | 12.0% | 18.1% |
Depression | 21.4% | 23.1% |
Smoking | 16.1% | 26.5% |
Binge Drinking | 17.3% | 13.0% |
Obesity | 34.9% | 44.7% |
Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Grand prairie vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 16.5% in Grand prairie.
- Higher depression rates are seen in Reading at 23.1% versus 21.4% in Grand prairie.
- Reading has a higher smoking rate at 26.5% compared to 16.1% in Grand prairie.
- Binge drinking is more common in Grand prairie at 17.3% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 34.9% in Grand prairie.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 9.0% in Grand prairie.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Grand prairie | Reading |
---|---|---|
No Schooling | 2.2% (4,493) | 2.6% (2,442) |
High School Diploma | 12.9% (26,069) | 17.8% (16,896) |
Less than High School | 21.3% (43,014) | 32.2% (30,522) |
Bachelor's Degree and Higher | 16.4% (33,151) | 6.9% (6,512) |
Education Levels Comparison: Grand prairie vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 2.2% in Grand prairie.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 12.9% in Grand prairie.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 21.3% in Grand prairie.
- A higher percentage of residents in Grand prairie hold a bachelor's degree or higher at 16.4% compared to 6.9% in Reading.
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.