Demographics details for Underwood, ND vs Moorpark, CA
Population Overview
Compare main population characteristics in Underwood, ND vs Moorpark, CA.
| Data | Underwood | Moorpark |
|---|---|---|
| Population | 780 | 35,514 |
| Median Age | 47.3 years | 38.8 years |
| Median Income | $72,917 | $143,218 |
| Married Families | 51.0% | 47.0% |
| Poverty Level | Data is updating | 8% |
| Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Underwood vs Moorpark
- The population in Moorpark is higher at 35,514, compared to 780 in Underwood.
- Residents in Underwood have a higher median age of 47.3 years compared to 38.8 years in Moorpark.
- Moorpark has a higher median income of $143,218, compared to $72,917 in Underwood.
- A higher percentage of married families is found in Underwood at 51.0% compared to 47.0% in Moorpark.
- The poverty level is higher in Moorpark at 8%, compared to 0% in Underwood.
- Moorpark has a higher unemployment rate at 4.1% compared to 2.5% in Underwood.
Demographics
Demographics Underwood vs Moorpark provide insight into the diversity of the communities to compare.
| Demographic | Underwood | Moorpark |
|---|---|---|
| Black | 1 | 3 |
| White | 87 | 38 |
| Asian | 3 | 7 |
| Hispanic | 1 | 34 |
| Two or More Races | 6 | 17 |
| American Indian | 2 | 1 |
Demographics Comparison: Underwood vs Moorpark
- In Moorpark, the percentage of Black residents is higher at 3% compared to 1% in Underwood.
- Underwood has a higher percentage of White residents at 87% compared to 38% in Moorpark.
- In Moorpark, the Asian population stands at 7%, greater than 3% in Underwood.
- Moorpark has a higher percentage of Hispanic residents at 34%, compared to 1% in Underwood.
- The percentage of residents identifying as two or more races is higher in Moorpark at 17%, compared to 6% in Underwood.
- A greater percentage of American Indian residents live in Underwood at 2% compared to 1% in Moorpark.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Underwood | Moorpark |
|---|---|---|
| Mental Health Not Good | 12.8% | 13.8% |
| Physical Health Not Good | 8.8% | 8.9% |
| Depression | 17.5% | 17.6% |
| Smoking | 16.1% | 9.2% |
| Binge Drinking | 22.7% | 17.8% |
| Obesity | 40.0% | 24.7% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Underwood vs Moorpark
- In Moorpark, a higher percentage report poor mental health at 13.8% compared to 12.8% in Underwood.
- Higher depression rates are seen in Moorpark at 17.6% versus 17.5% in Underwood.
- Smoking is more prevalent in Underwood at 16.1% compared to 9.2% in Moorpark.
- Binge drinking is more common in Underwood at 22.7% compared to 17.8% in Moorpark.
- Obesity rates are higher in Underwood at 40.0% compared to 24.7% in Moorpark.
- Disability percentages are the same in both Underwood and Moorpark at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Underwood | Moorpark |
|---|---|---|
| No Schooling | 0.1% (1) | 0.8% (300) |
| High School Diploma | 19.1% (149) | 9.3% (3,304) |
| Less than High School | 8.6% (67) | 11.8% (4,201) |
| Bachelor's Degree and Higher | 13.1% (102) | 30.1% (10,699) |
Education Levels Comparison: Underwood vs Moorpark
- In Moorpark, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Underwood.
- A higher percentage of residents in Underwood hold a high school diploma at 19.1% 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 8.6% in Underwood.
- In Moorpark, a larger share of residents have a bachelor's degree or higher at 30.1% compared to 13.1% in Underwood.
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.