Demographics details for Pearland, TX vs Patoka, IL
Population Overview
Compare main population characteristics in Pearland, TX vs Patoka, IL.
| Data | Pearland | Patoka |
|---|---|---|
| Population | 126,949 | 512 |
| Median Age | 36.2 years | 39.2 years |
| Median Income | $111,123 | $69,091 |
| Married Families | 44.0% | 54.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.1 | 5.0 |
Population Comparison: Pearland vs Patoka
- In Pearland, the population is higher at 126,949, compared to 512 in Patoka.
- The median age in Patoka is higher at 39.2 years, compared to 36.2 years in Pearland.
- Pearland has a higher median income of $111,123 compared to $69,091 in Patoka.
- In Patoka, the percentage of married families is higher at 54.0%, compared to 44.0% in Pearland.
- The poverty level is higher in Patoka at 10%, compared to 8% in Pearland.
- Patoka has a higher unemployment rate at 5.0% compared to 4.1% in Pearland.
Demographics
Demographics Pearland vs Patoka provide insight into the diversity of the communities to compare.
| Demographic | Pearland | Patoka |
|---|---|---|
| Black | 18 | Data is updating |
| White | 28 | 98 |
| Asian | 16 | 1 |
| Hispanic | 26 | Data is updating |
| Two or More Races | 12 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearland vs Patoka
- A higher percentage of Black residents are in Pearland at 18% compared to 0% in Patoka.
- The percentage of White residents is higher in Patoka at 98% compared to 28% in Pearland.
- The Asian population is larger in Pearland at 16% compared to 1% in Patoka.
- The Hispanic community is larger in Pearland at 26% compared to 0% in Patoka.
- More residents identify as two or more races in Pearland at 12% compared to 1% in Patoka.
- The percentage of American Indian residents is the same in both Pearland and Patoka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearland | Patoka |
|---|---|---|
| Mental Health Not Good | 14.1% | 16.8% |
| Physical Health Not Good | 8.9% | 11.2% |
| Depression | 19.1% | 23.2% |
| Smoking | 11.7% | 17.8% |
| Binge Drinking | 19.3% | 18.6% |
| Obesity | 34.4% | 37.4% |
| Disability Percentage | 7.0% | 21.0% |
Health Statistics Comparison: Pearland vs Patoka
- In Patoka, a higher percentage report poor mental health at 16.8% compared to 14.1% in Pearland.
- Higher depression rates are seen in Patoka at 23.2% versus 19.1% in Pearland.
- Patoka has a higher smoking rate at 17.8% compared to 11.7% in Pearland.
- Binge drinking is more common in Pearland at 19.3% compared to 18.6% in Patoka.
- Patoka has higher obesity rates at 37.4% compared to 34.4% in Pearland.
- There is a higher percentage of disabled individuals in Patoka at 21.0% compared to 7.0% in Pearland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pearland | Patoka |
|---|---|---|
| No Schooling | 0.8% (1,006) | 0.6% (3) |
| High School Diploma | 9.6% (12,136) | 32.8% (168) |
| Less than High School | 5.3% (6,689) | 6.6% (34) |
| Bachelor's Degree and Higher | 29.9% (38,013) | 11.1% (57) |
Education Levels Comparison: Pearland vs Patoka
- A higher percentage of residents in Pearland have no formal schooling at 0.8% compared to 0.6% in Patoka.
- In Patoka, the rate of residents with high school diplomas is higher at 32.8% compared to 9.6% in Pearland.
- The percentage of residents with less than a high school education is higher in Patoka at 6.6%, compared to 5.3% in Pearland.
- A higher percentage of residents in Pearland hold a bachelor's degree or higher at 29.9% compared to 11.1% in Patoka.
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.