Demographics details for Moorpark, CA vs Stephenville, TX
Population Overview
Compare main population characteristics in Moorpark, CA vs Stephenville, TX.
Data | Moorpark | Stephenville |
---|---|---|
Population | 35,514 | 21,641 |
Median Age | 38.8 years | 25.5 years |
Median Income | $143,218 | $48,088 |
Married Families | 47.0% | 29.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Moorpark vs Stephenville
- In Moorpark, the population is higher at 35,514, compared to 21,641 in Stephenville.
- Residents in Moorpark have a higher median age of 38.8 years compared to 25.5 years in Stephenville.
- Moorpark has a higher median income of $143,218 compared to $48,088 in Stephenville.
- A higher percentage of married families is found in Moorpark at 47.0% compared to 29.0% in Stephenville.
- The poverty level is higher in Stephenville at 12%, compared to 8% in Moorpark.
- Stephenville has a higher unemployment rate at 4.2% compared to 4.1% in Moorpark.
Demographics
Demographics Moorpark vs Stephenville provide insight into the diversity of the communities to compare.
Demographic | Moorpark | Stephenville |
---|---|---|
Black | 3 | 3 |
White | 38 | 67 |
Asian | 7 | 2 |
Hispanic | 34 | 20 |
Two or More Races | 17 | 7 |
American Indian | 1 | 1 |
Demographics Comparison: Moorpark vs Stephenville
- The percentage of Black residents is the same in both Moorpark and Stephenville at 3%.
- The percentage of White residents is higher in Stephenville at 67% compared to 38% in Moorpark.
- The Asian population is larger in Moorpark at 7% compared to 2% in Stephenville.
- The Hispanic community is larger in Moorpark at 34% compared to 20% in Stephenville.
- More residents identify as two or more races in Moorpark at 17% compared to 7% in Stephenville.
- The percentage of American Indian residents is the same in both Moorpark and Stephenville at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Moorpark | Stephenville |
---|---|---|
Mental Health Not Good | 13.8% | 18.5% |
Physical Health Not Good | 8.9% | 12.3% |
Depression | 17.6% | 25.5% |
Smoking | 9.2% | 18.2% |
Binge Drinking | 17.8% | 18.3% |
Obesity | 24.7% | 37.4% |
Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Moorpark vs Stephenville
- In Stephenville, a higher percentage report poor mental health at 18.5% compared to 13.8% in Moorpark.
- Higher depression rates are seen in Stephenville at 25.5% versus 17.6% in Moorpark.
- Stephenville has a higher smoking rate at 18.2% compared to 9.2% in Moorpark.
- More residents engage in binge drinking in Stephenville at 18.3% compared to 17.8% in Moorpark.
- Stephenville has higher obesity rates at 37.4% compared to 24.7% in Moorpark.
- There is a higher percentage of disabled individuals in Stephenville at 11.0% 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 | Stephenville |
---|---|---|
No Schooling | 0.8% (300) | 0.5% (115) |
High School Diploma | 9.3% (3,304) | 8.4% (1,827) |
Less than High School | 11.8% (4,201) | 10.5% (2,269) |
Bachelor's Degree and Higher | 30.1% (10,699) | 16.1% (3,487) |
Education Levels Comparison: Moorpark vs Stephenville
- A higher percentage of residents in Moorpark have no formal schooling at 0.8% compared to 0.5% in Stephenville.
- A higher percentage of residents in Moorpark hold a high school diploma at 9.3% compared to 8.4% in Stephenville.
- More residents in Moorpark have less than a high school education at 11.8% compared to 10.5% in Stephenville.
- A higher percentage of residents in Moorpark hold a bachelor's degree or higher at 30.1% compared to 16.1% in Stephenville.
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.