Demographics details for Moorpark, CA vs Albany, NY
Population Overview
Compare main population characteristics in Moorpark, CA vs Albany, NY.
| Data | Moorpark | Albany |
|---|---|---|
| Population | 35,514 | 100,826 |
| Median Age | 38.8 years | 32.0 years |
| Median Income | $143,218 | $54,736 |
| Married Families | 47.0% | 23.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 4.1 | 4.4 |
Population Comparison: Moorpark vs Albany
- The population in Albany is higher at 100,826, compared to 35,514 in Moorpark.
- Residents in Moorpark have a higher median age of 38.8 years compared to 32.0 years in Albany.
- Moorpark has a higher median income of $143,218 compared to $54,736 in Albany.
- A higher percentage of married families is found in Moorpark at 47.0% compared to 23.0% in Albany.
- Moorpark has a higher poverty level at 8% compared to 0% in Albany.
- Albany has a higher unemployment rate at 4.4% compared to 4.1% in Moorpark.
Demographics
Demographics Moorpark vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Moorpark | Albany |
|---|---|---|
| Black | 3 | 28 |
| White | 38 | 48 |
| Asian | 7 | 7 |
| Hispanic | 34 | 10 |
| Two or More Races | 17 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moorpark vs Albany
- In Albany, the percentage of Black residents is higher at 28% compared to 3% in Moorpark.
- The percentage of White residents is higher in Albany at 48% compared to 38% in Moorpark.
- Both Moorpark and Albany have the same percentage of Asian residents at 7%.
- The Hispanic community is larger in Moorpark at 34% compared to 10% in Albany.
- More residents identify as two or more races in Moorpark at 17% compared to 7% in Albany.
- A greater percentage of American Indian residents live in Moorpark at 1% compared to 0% in Albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moorpark | Albany |
|---|---|---|
| Mental Health Not Good | 13.8% | 18.1% |
| Physical Health Not Good | 8.9% | 11.4% |
| Depression | 17.6% | 24.3% |
| Smoking | 9.2% | 20.1% |
| Binge Drinking | 17.8% | 15.8% |
| Obesity | 24.7% | 37.3% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Moorpark vs Albany
- In Albany, a higher percentage report poor mental health at 18.1% compared to 13.8% in Moorpark.
- Higher depression rates are seen in Albany at 24.3% versus 17.6% in Moorpark.
- Albany has a higher smoking rate at 20.1% compared to 9.2% in Moorpark.
- Binge drinking is more common in Moorpark at 17.8% compared to 15.8% in Albany.
- Albany has higher obesity rates at 37.3% compared to 24.7% in Moorpark.
- There is a higher percentage of disabled individuals in Albany at 13.0% 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 | Albany |
|---|---|---|
| No Schooling | 0.8% (300) | 1.6% (1,641) |
| High School Diploma | 9.3% (3,304) | 9.3% (9,344) |
| Less than High School | 11.8% (4,201) | 9.8% (9,877) |
| Bachelor's Degree and Higher | 30.1% (10,699) | 26.6% (26,849) |
Education Levels Comparison: Moorpark vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 1.6% compared to 0.8% in Moorpark.
- Both cities have the same percentage of residents with high school diplomas at 9.3%.
- More residents in Moorpark have less than a high school education at 11.8% compared to 9.8% in Albany.
- A higher percentage of residents in Moorpark hold a bachelor's degree or higher at 30.1% compared to 26.6% in Albany.
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.