Demographics details for Helena, MT vs Moorpark, CA
Population Overview
Compare main population characteristics in Helena, MT vs Moorpark, CA.
| Data | Helena | Moorpark |
|---|---|---|
| Population | 33,885 | 35,514 |
| Median Age | 39.9 years | 38.8 years |
| Median Income | $64,798 | $143,218 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.0 | 4.1 |
Population Comparison: Helena vs Moorpark
- The population in Moorpark is higher at 35,514, compared to 33,885 in Helena.
- Residents in Helena have a higher median age of 39.9 years compared to 38.8 years in Moorpark.
- Moorpark has a higher median income of $143,218, compared to $64,798 in Helena.
- In Moorpark, the percentage of married families is higher at 47.0%, compared to 34.0% in Helena.
- Helena has a higher poverty level at 10% compared to 8% in Moorpark.
- Moorpark has a higher unemployment rate at 4.1% compared to 3.0% in Helena.
Demographics
Demographics Helena vs Moorpark provide insight into the diversity of the communities to compare.
| Demographic | Helena | Moorpark |
|---|---|---|
| Black | 1 | 3 |
| White | 88 | 38 |
| Asian | 1 | 7 |
| Hispanic | 5 | 34 |
| Two or More Races | 4 | 17 |
| American Indian | 1 | 1 |
Demographics Comparison: Helena vs Moorpark
- In Moorpark, the percentage of Black residents is higher at 3% compared to 1% in Helena.
- Helena has a higher percentage of White residents at 88% compared to 38% in Moorpark.
- In Moorpark, the Asian population stands at 7%, greater than 1% in Helena.
- Moorpark has a higher percentage of Hispanic residents at 34%, compared to 5% in Helena.
- The percentage of residents identifying as two or more races is higher in Moorpark at 17%, compared to 4% in Helena.
- The percentage of American Indian residents is the same in both Helena and Moorpark at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helena | Moorpark |
|---|---|---|
| Mental Health Not Good | 14.8% | 13.8% |
| Physical Health Not Good | 9.6% | 8.9% |
| Depression | 23.5% | 17.6% |
| Smoking | 13.1% | 9.2% |
| Binge Drinking | 21.9% | 17.8% |
| Obesity | 30.4% | 24.7% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Helena vs Moorpark
- More residents in Helena report poor mental health at 14.8% compared to 13.8% in Moorpark.
- Depression is more prevalent in Helena at 23.5% compared to 17.6% in Moorpark.
- Smoking is more prevalent in Helena at 13.1% compared to 9.2% in Moorpark.
- Binge drinking is more common in Helena at 21.9% compared to 17.8% in Moorpark.
- Obesity rates are higher in Helena at 30.4% compared to 24.7% in Moorpark.
- Disability percentages are higher in Helena at 12.0% compared to 10.0% in Moorpark.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helena | Moorpark |
|---|---|---|
| No Schooling | 0.1% (38) | 0.8% (300) |
| High School Diploma | 10.0% (3,385) | 9.3% (3,304) |
| Less than High School | 4.7% (1,597) | 11.8% (4,201) |
| Bachelor's Degree and Higher | 34.3% (11,632) | 30.1% (10,699) |
Education Levels Comparison: Helena vs Moorpark
- In Moorpark, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Helena.
- A higher percentage of residents in Helena hold a high school diploma at 10.0% compared to 9.3% in Moorpark.
- The percentage of residents with less than a high school education is higher in Moorpark at 11.8%, compared to 4.7% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 34.3% compared to 30.1% in Moorpark.
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.