Demographics details for Beaver dam, WI vs Helena, MT
Population Overview
Compare main population characteristics in Beaver dam, WI vs Helena, MT.
| Data | Beaver dam | Helena |
|---|---|---|
| Population | 16,582 | 33,885 |
| Median Age | 40.4 years | 39.9 years |
| Median Income | $65,802 | $64,798 |
| Married Families | 35.0% | 34.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.1 | 3.0 |
Population Comparison: Beaver dam vs Helena
- The population in Helena is higher at 33,885, compared to 16,582 in Beaver dam.
- Residents in Beaver dam have a higher median age of 40.4 years compared to 39.9 years in Helena.
- Beaver dam has a higher median income of $65,802 compared to $64,798 in Helena.
- A higher percentage of married families is found in Beaver dam at 35.0% compared to 34.0% in Helena.
- The poverty level is higher in Helena at 10%, compared to 0% in Beaver dam.
- The unemployment rate in Beaver dam is higher at 3.1%, compared to 3.0% in Helena.
Demographics
Demographics Beaver dam vs Helena provide insight into the diversity of the communities to compare.
| Demographic | Beaver dam | Helena |
|---|---|---|
| Black | 3 | 1 |
| White | 81 | 88 |
| Asian | 2 | 1 |
| Hispanic | 8 | 5 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Beaver dam vs Helena
- A higher percentage of Black residents are in Beaver dam at 3% compared to 1% in Helena.
- The percentage of White residents is higher in Helena at 88% compared to 81% in Beaver dam.
- The Asian population is larger in Beaver dam at 2% compared to 1% in Helena.
- The Hispanic community is larger in Beaver dam at 8% compared to 5% in Helena.
- More residents identify as two or more races in Beaver dam at 6% compared to 4% in Helena.
- In Helena, 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 | Helena |
|---|---|---|
| Mental Health Not Good | 15.7% | 14.8% |
| Physical Health Not Good | 10.6% | 9.6% |
| Depression | 23.6% | 23.5% |
| Smoking | 17.6% | 13.1% |
| Binge Drinking | 23.5% | 21.9% |
| Obesity | 36.6% | 30.4% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Beaver dam vs Helena
- More residents in Beaver dam report poor mental health at 15.7% compared to 14.8% in Helena.
- Depression is more prevalent in Beaver dam at 23.6% compared to 23.5% in Helena.
- Smoking is more prevalent in Beaver dam at 17.6% compared to 13.1% in Helena.
- Binge drinking is more common in Beaver dam at 23.5% compared to 21.9% in Helena.
- Obesity rates are higher in Beaver dam at 36.6% compared to 30.4% in Helena.
- There is a higher percentage of disabled individuals in Helena at 12.0% compared to 11.0% in Beaver dam.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beaver dam | Helena |
|---|---|---|
| No Schooling | 0.3% (47) | 0.1% (38) |
| High School Diploma | 23.8% (3,947) | 10.0% (3,385) |
| Less than High School | 10.3% (1,706) | 4.7% (1,597) |
| Bachelor's Degree and Higher | 18.2% (3,023) | 34.3% (11,632) |
Education Levels Comparison: Beaver dam vs Helena
- A higher percentage of residents in Beaver dam have no formal schooling at 0.3% compared to 0.1% in Helena.
- A higher percentage of residents in Beaver dam hold a high school diploma at 23.8% compared to 10.0% in Helena.
- More residents in Beaver dam have less than a high school education at 10.3% compared to 4.7% in Helena.
- In Helena, a larger share of residents have a bachelor's degree or higher at 34.3% 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.