Demographics details for Moorpark, CA vs Golden city, MO
Population Overview
Compare main population characteristics in Moorpark, CA vs Golden city, MO.
| Data | Moorpark | Golden city |
|---|---|---|
| Population | 35,514 | 654 |
| Median Age | 38.8 years | 55.0 years |
| Median Income | $143,218 | $37,679 |
| Married Families | 47.0% | 37.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Moorpark vs Golden city
- In Moorpark, the population is higher at 35,514, compared to 654 in Golden city.
- The median age in Golden city is higher at 55.0 years, compared to 38.8 years in Moorpark.
- Moorpark has a higher median income of $143,218 compared to $37,679 in Golden city.
- A higher percentage of married families is found in Moorpark at 47.0% compared to 37.0% in Golden city.
- The poverty level is higher in Golden city at 10%, compared to 8% in Moorpark.
- The unemployment rate in Moorpark is higher at 4.1%, compared to 3.5% in Golden city.
Demographics
Demographics Moorpark vs Golden city provide insight into the diversity of the communities to compare.
| Demographic | Moorpark | Golden city |
|---|---|---|
| Black | 3 | Data is updating |
| White | 38 | 89 |
| Asian | 7 | Data is updating |
| Hispanic | 34 | 3 |
| Two or More Races | 17 | 6 |
| American Indian | 1 | 2 |
Demographics Comparison: Moorpark vs Golden city
- A higher percentage of Black residents are in Moorpark at 3% compared to 0% in Golden city.
- The percentage of White residents is higher in Golden city at 89% compared to 38% in Moorpark.
- The Asian population is larger in Moorpark at 7% compared to 0% in Golden city.
- The Hispanic community is larger in Moorpark at 34% compared to 3% in Golden city.
- More residents identify as two or more races in Moorpark at 17% compared to 6% in Golden city.
- In Golden city, the percentage of American Indian residents is higher at 2%, compared to 1% in Moorpark.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moorpark | Golden city |
|---|---|---|
| Mental Health Not Good | 13.8% | 18.3% |
| Physical Health Not Good | 8.9% | 13.3% |
| Depression | 17.6% | 25.1% |
| Smoking | 9.2% | 22.9% |
| Binge Drinking | 17.8% | 18.0% |
| Obesity | 24.7% | 40.9% |
| Disability Percentage | 10.0% | 24.0% |
Health Statistics Comparison: Moorpark vs Golden city
- In Golden city, a higher percentage report poor mental health at 18.3% compared to 13.8% in Moorpark.
- Higher depression rates are seen in Golden city at 25.1% versus 17.6% in Moorpark.
- Golden city has a higher smoking rate at 22.9% compared to 9.2% in Moorpark.
- More residents engage in binge drinking in Golden city at 18.0% compared to 17.8% in Moorpark.
- Golden city has higher obesity rates at 40.9% compared to 24.7% in Moorpark.
- There is a higher percentage of disabled individuals in Golden city at 24.0% 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 | Moorpark | Golden city |
|---|---|---|
| No Schooling | 0.8% (300) | 2.6% (17) |
| High School Diploma | 9.3% (3,304) | 30.6% (200) |
| Less than High School | 11.8% (4,201) | 17.6% (115) |
| Bachelor's Degree and Higher | 30.1% (10,699) | 12.8% (84) |
Education Levels Comparison: Moorpark vs Golden city
- In Golden city, a larger percentage of residents lack formal schooling at 2.6% compared to 0.8% in Moorpark.
- In Golden city, the rate of residents with high school diplomas is higher at 30.6% compared to 9.3% in Moorpark.
- The percentage of residents with less than a high school education is higher in Golden city at 17.6%, compared to 11.8% in Moorpark.
- A higher percentage of residents in Moorpark hold a bachelor's degree or higher at 30.1% compared to 12.8% in Golden city.
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.