Demographics details for Beaver dam, WI vs Thornton, CO
Population Overview
Compare main population characteristics in Beaver dam, WI vs Thornton, CO.
Data | Beaver dam | Thornton |
---|---|---|
Population | 16,582 | 143,282 |
Median Age | 40.4 years | 33.7 years |
Median Income | $65,802 | $95,064 |
Married Families | 35.0% | 40.0% |
Poverty Level | Data is updating | 9% |
Unemployment Rate | 3.1 | 4.2 |
Population Comparison: Beaver dam vs Thornton
- The population in Thornton is higher at 143,282, compared to 16,582 in Beaver dam.
- Residents in Beaver dam have a higher median age of 40.4 years compared to 33.7 years in Thornton.
- Thornton has a higher median income of $95,064, compared to $65,802 in Beaver dam.
- In Thornton, the percentage of married families is higher at 40.0%, compared to 35.0% in Beaver dam.
- The poverty level is higher in Thornton at 9%, compared to 0% in Beaver dam.
- Thornton has a higher unemployment rate at 4.2% compared to 3.1% in Beaver dam.
Demographics
Demographics Beaver dam vs Thornton provide insight into the diversity of the communities to compare.
Demographic | Beaver dam | Thornton |
---|---|---|
Black | 3 | 2 |
White | 81 | 39 |
Asian | 2 | 6 |
Hispanic | 8 | 37 |
Two or More Races | 6 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Beaver dam vs Thornton
- A higher percentage of Black residents are in Beaver dam at 3% compared to 2% in Thornton.
- Beaver dam has a higher percentage of White residents at 81% compared to 39% in Thornton.
- In Thornton, the Asian population stands at 6%, greater than 2% in Beaver dam.
- Thornton has a higher percentage of Hispanic residents at 37%, compared to 8% in Beaver dam.
- The percentage of residents identifying as two or more races is higher in Thornton at 15%, compared to 6% in Beaver dam.
- In Thornton, the percentage of American Indian residents is higher at 1%, compared to 0% in Beaver dam.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Beaver dam | Thornton |
---|---|---|
Mental Health Not Good | 15.7% | 15.1% |
Physical Health Not Good | 10.6% | 10.9% |
Depression | 23.6% | 22.0% |
Smoking | 17.6% | 15.1% |
Binge Drinking | 23.5% | 21.0% |
Obesity | 36.6% | 30.1% |
Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Beaver dam vs Thornton
- More residents in Beaver dam report poor mental health at 15.7% compared to 15.1% in Thornton.
- Depression is more prevalent in Beaver dam at 23.6% compared to 22.0% in Thornton.
- Smoking is more prevalent in Beaver dam at 17.6% compared to 15.1% in Thornton.
- Binge drinking is more common in Beaver dam at 23.5% compared to 21.0% in Thornton.
- Obesity rates are higher in Beaver dam at 36.6% compared to 30.1% in Thornton.
- Disability percentages are higher in Beaver dam at 11.0% compared to 10.0% in Thornton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Beaver dam | Thornton |
---|---|---|
No Schooling | 0.3% (47) | 1.7% (2,448) |
High School Diploma | 23.8% (3,947) | 13.2% (18,983) |
Less than High School | 10.3% (1,706) | 14.7% (20,999) |
Bachelor's Degree and Higher | 18.2% (3,023) | 19.3% (27,712) |
Education Levels Comparison: Beaver dam vs Thornton
- In Thornton, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a high school diploma at 23.8% compared to 13.2% in Thornton.
- The percentage of residents with less than a high school education is higher in Thornton at 14.7%, compared to 10.3% in Beaver dam.
- In Thornton, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 18.2% in Beaver dam.
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.