Demographics details for Pearland, TX vs Danbury, CT
Population Overview
Compare main population characteristics in Pearland, TX vs Danbury, CT.
| Data | Pearland | Danbury |
|---|---|---|
| Population | 126,949 | 86,967 |
| Median Age | 36.2 years | 38.6 years |
| Median Income | $111,123 | $79,983 |
| Married Families | 44.0% | 38.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 4.1 | 2.4 |
Population Comparison: Pearland vs Danbury
- In Pearland, the population is higher at 126,949, compared to 86,967 in Danbury.
- The median age in Danbury is higher at 38.6 years, compared to 36.2 years in Pearland.
- Pearland has a higher median income of $111,123 compared to $79,983 in Danbury.
- A higher percentage of married families is found in Pearland at 44.0% compared to 38.0% in Danbury.
- The poverty level is higher in Danbury at 9%, compared to 8% in Pearland.
- The unemployment rate in Pearland is higher at 4.1%, compared to 2.4% in Danbury.
Demographics
Demographics Pearland vs Danbury provide insight into the diversity of the communities to compare.
| Demographic | Pearland | Danbury |
|---|---|---|
| Black | 18 | 13 |
| White | 28 | 38 |
| Asian | 16 | 5 |
| Hispanic | 26 | 32 |
| Two or More Races | 12 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearland vs Danbury
- A higher percentage of Black residents are in Pearland at 18% compared to 13% in Danbury.
- The percentage of White residents is higher in Danbury at 38% compared to 28% in Pearland.
- The Asian population is larger in Pearland at 16% compared to 5% in Danbury.
- Danbury has a higher percentage of Hispanic residents at 32%, compared to 26% in Pearland.
- Both Pearland and Danbury have the same percentage of residents identifying as two or more races at 12%.
- The percentage of American Indian residents is the same in both Pearland and Danbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearland | Danbury |
|---|---|---|
| Mental Health Not Good | 14.1% | 15.1% |
| Physical Health Not Good | 8.9% | 10.3% |
| Depression | 19.1% | 18.8% |
| Smoking | 11.7% | 14.2% |
| Binge Drinking | 19.3% | 16.2% |
| Obesity | 34.4% | 26.0% |
| Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Pearland vs Danbury
- In Danbury, a higher percentage report poor mental health at 15.1% compared to 14.1% in Pearland.
- Depression is more prevalent in Pearland at 19.1% compared to 18.8% in Danbury.
- Danbury has a higher smoking rate at 14.2% compared to 11.7% in Pearland.
- Binge drinking is more common in Pearland at 19.3% compared to 16.2% in Danbury.
- Obesity rates are higher in Pearland at 34.4% compared to 26.0% in Danbury.
- There is a higher percentage of disabled individuals in Danbury at 10.0% 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 | Danbury |
|---|---|---|
| No Schooling | 0.8% (1,006) | 2.0% (1,713) |
| High School Diploma | 9.6% (12,136) | 15.7% (13,686) |
| Less than High School | 5.3% (6,689) | 19.6% (17,043) |
| Bachelor's Degree and Higher | 29.9% (38,013) | 23.0% (19,982) |
Education Levels Comparison: Pearland vs Danbury
- In Danbury, a larger percentage of residents lack formal schooling at 2.0% compared to 0.8% in Pearland.
- In Danbury, the rate of residents with high school diplomas is higher at 15.7% compared to 9.6% in Pearland.
- The percentage of residents with less than a high school education is higher in Danbury at 19.6%, 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 23.0% in Danbury.
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.