Demographics details for Pearland, TX vs Bigfork, MN
Population Overview
Compare main population characteristics in Pearland, TX vs Bigfork, MN.
| Data | Pearland | Bigfork |
|---|---|---|
| Population | 126,949 | 403 |
| Median Age | 36.2 years | 66.3 years |
| Median Income | $111,123 | $33,750 |
| Married Families | 44.0% | 31.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Pearland vs Bigfork
- In Pearland, the population is higher at 126,949, compared to 403 in Bigfork.
- The median age in Bigfork is higher at 66.3 years, compared to 36.2 years in Pearland.
- Pearland has a higher median income of $111,123 compared to $33,750 in Bigfork.
- A higher percentage of married families is found in Pearland at 44.0% compared to 31.0% in Bigfork.
- The poverty level is higher in Bigfork at 9%, compared to 8% in Pearland.
- The unemployment rate in Pearland is higher at 4.1%, compared to 3.5% in Bigfork.
Demographics
Demographics Pearland vs Bigfork provide insight into the diversity of the communities to compare.
| Demographic | Pearland | Bigfork |
|---|---|---|
| Black | 18 | 1 |
| White | 28 | 93 |
| Asian | 16 | Data is updating |
| Hispanic | 26 | 2 |
| Two or More Races | 12 | 1 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Pearland vs Bigfork
- A higher percentage of Black residents are in Pearland at 18% compared to 1% in Bigfork.
- The percentage of White residents is higher in Bigfork at 93% compared to 28% in Pearland.
- The Asian population is larger in Pearland at 16% compared to 0% in Bigfork.
- The Hispanic community is larger in Pearland at 26% compared to 2% in Bigfork.
- More residents identify as two or more races in Pearland at 12% compared to 1% in Bigfork.
- In Bigfork, the percentage of American Indian residents is higher at 3%, compared to 0% in Pearland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearland | Bigfork |
|---|---|---|
| Mental Health Not Good | 14.1% | 16.0% |
| Physical Health Not Good | 8.9% | 10.4% |
| Depression | 19.1% | 24.3% |
| Smoking | 11.7% | 21.9% |
| Binge Drinking | 19.3% | 18.4% |
| Obesity | 34.4% | 41.6% |
| Disability Percentage | 7.0% | 23.0% |
Health Statistics Comparison: Pearland vs Bigfork
- In Bigfork, a higher percentage report poor mental health at 16.0% compared to 14.1% in Pearland.
- Higher depression rates are seen in Bigfork at 24.3% versus 19.1% in Pearland.
- Bigfork has a higher smoking rate at 21.9% compared to 11.7% in Pearland.
- Binge drinking is more common in Pearland at 19.3% compared to 18.4% in Bigfork.
- Bigfork has higher obesity rates at 41.6% compared to 34.4% in Pearland.
- There is a higher percentage of disabled individuals in Bigfork at 23.0% 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 | Bigfork |
|---|---|---|
| No Schooling | 0.8% (1,006) | 0.0% (Data is updating) |
| High School Diploma | 9.6% (12,136) | 26.6% (107) |
| Less than High School | 5.3% (6,689) | 9.7% (39) |
| Bachelor's Degree and Higher | 29.9% (38,013) | 8.2% (33) |
Education Levels Comparison: Pearland vs Bigfork
- A higher percentage of residents in Pearland have no formal schooling at 0.8% compared to 0.0% in Bigfork.
- In Bigfork, the rate of residents with high school diplomas is higher at 26.6% compared to 9.6% in Pearland.
- The percentage of residents with less than a high school education is higher in Bigfork at 9.7%, 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 8.2% in Bigfork.
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.