Demographics details for Pearland, TX vs Oceanside, NY
Population Overview
Compare main population characteristics in Pearland, TX vs Oceanside, NY.
| Data | Pearland | Oceanside |
|---|---|---|
| Population | 126,949 | 31,488 |
| Median Age | 36.2 years | 45.8 years |
| Median Income | $111,123 | $136,997 |
| Married Families | 44.0% | 50.0% |
| Poverty Level | 8% | 4% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Pearland vs Oceanside
- In Pearland, the population is higher at 126,949, compared to 31,488 in Oceanside.
- The median age in Oceanside is higher at 45.8 years, compared to 36.2 years in Pearland.
- Oceanside has a higher median income of $136,997, compared to $111,123 in Pearland.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 44.0% in Pearland.
- Pearland has a higher poverty level at 8% compared to 4% in Oceanside.
- The unemployment rate in Pearland is higher at 4.1%, compared to 3.2% in Oceanside.
Demographics
Demographics Pearland vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Pearland | Oceanside |
|---|---|---|
| Black | 18 | 3 |
| White | 28 | 71 |
| Asian | 16 | 3 |
| Hispanic | 26 | 16 |
| Two or More Races | 12 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearland vs Oceanside
- A higher percentage of Black residents are in Pearland at 18% compared to 3% in Oceanside.
- The percentage of White residents is higher in Oceanside at 71% compared to 28% in Pearland.
- The Asian population is larger in Pearland at 16% compared to 3% in Oceanside.
- The Hispanic community is larger in Pearland at 26% compared to 16% in Oceanside.
- More residents identify as two or more races in Pearland at 12% compared to 7% in Oceanside.
- The percentage of American Indian residents is the same in both Pearland and Oceanside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearland | Oceanside |
|---|---|---|
| Mental Health Not Good | 14.1% | 13.7% |
| Physical Health Not Good | 8.9% | 8.3% |
| Depression | 19.1% | 17.6% |
| Smoking | 11.7% | 11.7% |
| Binge Drinking | 19.3% | 18.5% |
| Obesity | 34.4% | 26.9% |
| Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Pearland vs Oceanside
- More residents in Pearland report poor mental health at 14.1% compared to 13.7% in Oceanside.
- Depression is more prevalent in Pearland at 19.1% compared to 17.6% in Oceanside.
- Smoking rates are the same in both Pearland and Oceanside at 11.7%.
- Binge drinking is more common in Pearland at 19.3% compared to 18.5% in Oceanside.
- Obesity rates are higher in Pearland at 34.4% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 9.0% 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 | Oceanside |
|---|---|---|
| No Schooling | 0.8% (1,006) | 0.8% (241) |
| High School Diploma | 9.6% (12,136) | 16.5% (5,186) |
| Less than High School | 5.3% (6,689) | 7.5% (2,349) |
| Bachelor's Degree and Higher | 29.9% (38,013) | 34.5% (10,876) |
Education Levels Comparison: Pearland vs Oceanside
- The percentage of residents with no formal schooling is the same in both Pearland and Oceanside at 0.8%.
- In Oceanside, the rate of residents with high school diplomas is higher at 16.5% compared to 9.6% in Pearland.
- The percentage of residents with less than a high school education is higher in Oceanside at 7.5%, compared to 5.3% in Pearland.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 29.9% in Pearland.
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.