Demographics details for Nederland, CO vs Butler, PA
Population Overview
Compare main population characteristics in Nederland, CO vs Butler, PA.
| Data | Nederland | Butler |
|---|---|---|
| Population | 1,500 | 13,176 |
| Median Age | 46.6 years | 38.2 years |
| Median Income | $115,120 | $39,546 |
| Married Families | 50.0% | 26.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 0.03 | 4.2 |
Population Comparison: Nederland vs Butler
- The population in Butler is higher at 13,176, compared to 1,500 in Nederland.
- Residents in Nederland have a higher median age of 46.6 years compared to 38.2 years in Butler.
- Nederland has a higher median income of $115,120 compared to $39,546 in Butler.
- A higher percentage of married families is found in Nederland at 50.0% compared to 26.0% in Butler.
- The poverty level is higher in Butler at 12%, compared to 0% in Nederland.
- Butler has a higher unemployment rate at 4.2% compared to 0.03% in Nederland.
Demographics
Demographics Nederland vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Nederland | Butler |
|---|---|---|
| Black | Data is updating | 3 |
| White | 94 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 3 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Nederland vs Butler
- In Butler, the percentage of Black residents is higher at 3% compared to 0% in Nederland.
- Nederland has a higher percentage of White residents at 94% compared to 88% in Butler.
- In Butler, the Asian population stands at 1%, greater than 0% in Nederland.
- Butler has a higher percentage of Hispanic residents at 3%, compared to 2% in Nederland.
- The percentage of residents identifying as two or more races is higher in Butler at 5%, compared to 4% in Nederland.
- The percentage of American Indian residents is the same in both Nederland and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nederland | Butler |
|---|---|---|
| Mental Health Not Good | 14.3% | 19.1% |
| Physical Health Not Good | 8.1% | 14.5% |
| Depression | 23.0% | 24.4% |
| Smoking | 10.1% | 24.6% |
| Binge Drinking | 21.0% | 17.4% |
| Obesity | 16.8% | 38.2% |
| Disability Percentage | 7.0% | 23.0% |
Health Statistics Comparison: Nederland vs Butler
- In Butler, a higher percentage report poor mental health at 19.1% compared to 14.3% in Nederland.
- Higher depression rates are seen in Butler at 24.4% versus 23.0% in Nederland.
- Butler has a higher smoking rate at 24.6% compared to 10.1% in Nederland.
- Binge drinking is more common in Nederland at 21.0% compared to 17.4% in Butler.
- Butler has higher obesity rates at 38.2% compared to 16.8% in Nederland.
- There is a higher percentage of disabled individuals in Butler at 23.0% compared to 7.0% in Nederland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nederland | Butler |
|---|---|---|
| No Schooling | 1.3% (20) | 0.1% (14) |
| High School Diploma | 10.9% (163) | 23.6% (3,115) |
| Less than High School | 2.7% (40) | 9.3% (1,222) |
| Bachelor's Degree and Higher | 45.6% (684) | 15.6% (2,049) |
Education Levels Comparison: Nederland vs Butler
- A higher percentage of residents in Nederland have no formal schooling at 1.3% compared to 0.1% in Butler.
- In Butler, the rate of residents with high school diplomas is higher at 23.6% compared to 10.9% in Nederland.
- The percentage of residents with less than a high school education is higher in Butler at 9.3%, compared to 2.7% in Nederland.
- A higher percentage of residents in Nederland hold a bachelor's degree or higher at 45.6% compared to 15.6% in Butler.
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.