Demographics details for Moorpark, CA vs Southold, NY
Population Overview
Compare main population characteristics in Moorpark, CA vs Southold, NY.
| Data | Moorpark | Southold |
|---|---|---|
| Population | 35,514 | 22,125 |
| Median Age | 38.8 years | 47.0 years |
| Median Income | $143,218 | $92,839 |
| Married Families | 47.0% | 65.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 4.1 | 3.0 |
Population Comparison: Moorpark vs Southold
- In Moorpark, the population is higher at 35,514, compared to 22,125 in Southold.
- The median age in Southold is higher at 47.0 years, compared to 38.8 years in Moorpark.
- Moorpark has a higher median income of $143,218 compared to $92,839 in Southold.
- In Southold, the percentage of married families is higher at 65.0%, compared to 47.0% in Moorpark.
- Moorpark has a higher poverty level at 8% compared to 5% in Southold.
- The unemployment rate in Moorpark is higher at 4.1%, compared to 3.0% in Southold.
Demographics
Demographics Moorpark vs Southold provide insight into the diversity of the communities to compare.
| Demographic | Moorpark | Southold |
|---|---|---|
| Black | 3 | 2 |
| White | 38 | 90 |
| Asian | 7 | 1 |
| Hispanic | 34 | 5 |
| Two or More Races | 17 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moorpark vs Southold
- A higher percentage of Black residents are in Moorpark at 3% compared to 2% in Southold.
- The percentage of White residents is higher in Southold at 90% compared to 38% in Moorpark.
- The Asian population is larger in Moorpark at 7% compared to 1% in Southold.
- The Hispanic community is larger in Moorpark at 34% compared to 5% in Southold.
- More residents identify as two or more races in Moorpark at 17% compared to 2% in Southold.
- A greater percentage of American Indian residents live in Moorpark at 1% compared to 0% in Southold.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moorpark | Southold |
|---|---|---|
| Mental Health Not Good | 13.8% | Data is updating% |
| Physical Health Not Good | 8.9% | Data is updating% |
| Depression | 17.6% | Data is updating% |
| Smoking | 9.2% | Data is updating% |
| Binge Drinking | 17.8% | Data is updating% |
| Obesity | 24.7% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Moorpark vs Southold
- More residents in Moorpark report poor mental health at 13.8% compared to 0.0% in Southold.
- Depression is more prevalent in Moorpark at 17.6% compared to 0.0% in Southold.
- Smoking is more prevalent in Moorpark at 9.2% compared to 0.0% in Southold.
- Binge drinking is more common in Moorpark at 17.8% compared to 0.0% in Southold.
- Obesity rates are higher in Moorpark at 24.7% compared to 0.0% in Southold.
- Disability percentages are higher in Moorpark at 10.0% compared to 0.0% in Southold.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moorpark | Southold |
|---|---|---|
| No Schooling | 0.8% (300) | 0.0% (Data is updating) |
| High School Diploma | 9.3% (3,304) | 0.0% (Data is updating) |
| Less than High School | 11.8% (4,201) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 30.1% (10,699) | 0.0% (Data is updating) |
Education Levels Comparison: Moorpark vs Southold
- A higher percentage of residents in Moorpark have no formal schooling at 0.8% compared to 0.0% in Southold.
- A higher percentage of residents in Moorpark hold a high school diploma at 9.3% compared to 0.0% in Southold.
- More residents in Moorpark have less than a high school education at 11.8% compared to 0.0% in Southold.
- A higher percentage of residents in Moorpark hold a bachelor's degree or higher at 30.1% compared to 0.0% in Southold.
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.