Demographics details for Pearland, TX vs Orlando, FL
Population Overview
Compare main population characteristics in Pearland, TX vs Orlando, FL.
| Data | Pearland | Orlando |
|---|---|---|
| Population | 126,949 | 316,081 |
| Median Age | 36.2 years | 34.7 years |
| Median Income | $111,123 | $66,292 |
| Married Families | 44.0% | 31.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Pearland vs Orlando
- The population in Orlando is higher at 316,081, compared to 126,949 in Pearland.
- Residents in Pearland have a higher median age of 36.2 years compared to 34.7 years in Orlando.
- Pearland has a higher median income of $111,123 compared to $66,292 in Orlando.
- A higher percentage of married families is found in Pearland at 44.0% compared to 31.0% in Orlando.
- The poverty level is higher in Orlando at 12%, compared to 8% in Pearland.
- The unemployment rate in Pearland is higher at 4.1%, compared to 3.2% in Orlando.
Demographics
Demographics Pearland vs Orlando provide insight into the diversity of the communities to compare.
| Demographic | Pearland | Orlando |
|---|---|---|
| Black | 18 | 23 |
| White | 28 | 23 |
| Asian | 16 | 4 |
| Hispanic | 26 | 34 |
| Two or More Races | 12 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearland vs Orlando
- In Orlando, the percentage of Black residents is higher at 23% compared to 18% in Pearland.
- Pearland has a higher percentage of White residents at 28% compared to 23% in Orlando.
- The Asian population is larger in Pearland at 16% compared to 4% in Orlando.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 26% in Pearland.
- The percentage of residents identifying as two or more races is higher in Orlando at 16%, compared to 12% in Pearland.
- The percentage of American Indian residents is the same in both Pearland and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearland | Orlando |
|---|---|---|
| Mental Health Not Good | 14.1% | 15.5% |
| Physical Health Not Good | 8.9% | 11.5% |
| Depression | 19.1% | 17.2% |
| Smoking | 11.7% | 17.7% |
| Binge Drinking | 19.3% | 14.1% |
| Obesity | 34.4% | 31.1% |
| Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Pearland vs Orlando
- In Orlando, a higher percentage report poor mental health at 15.5% compared to 14.1% in Pearland.
- Depression is more prevalent in Pearland at 19.1% compared to 17.2% in Orlando.
- Orlando has a higher smoking rate at 17.7% compared to 11.7% in Pearland.
- Binge drinking is more common in Pearland at 19.3% compared to 14.1% in Orlando.
- Obesity rates are higher in Pearland at 34.4% compared to 31.1% in Orlando.
- There is a higher percentage of disabled individuals in Orlando 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 | Orlando |
|---|---|---|
| No Schooling | 0.8% (1,006) | 1.1% (3,445) |
| High School Diploma | 9.6% (12,136) | 13.7% (43,377) |
| Less than High School | 5.3% (6,689) | 9.2% (29,000) |
| Bachelor's Degree and Higher | 29.9% (38,013) | 28.8% (90,981) |
Education Levels Comparison: Pearland vs Orlando
- In Orlando, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Pearland.
- In Orlando, the rate of residents with high school diplomas is higher at 13.7% compared to 9.6% in Pearland.
- The percentage of residents with less than a high school education is higher in Orlando at 9.2%, 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 28.8% in Orlando.
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.