Demographics details for Agoura hills, CA vs Manhattan, MT
Population Overview
Compare main population characteristics in Agoura hills, CA vs Manhattan, MT.
Data | Agoura hills | Manhattan |
---|---|---|
Population | 19,464 | 2,120 |
Median Age | 44.5 years | 39.6 years |
Median Income | $157,930 | $57,045 |
Married Families | 50.0% | 37.0% |
Poverty Level | 4% | 10% |
Unemployment Rate | 5.1 | 4.2 |
Population Comparison: Agoura hills vs Manhattan
- In Agoura hills, the population is higher at 19,464, compared to 2,120 in Manhattan.
- Residents in Agoura hills have a higher median age of 44.5 years compared to 39.6 years in Manhattan.
- Agoura hills has a higher median income of $157,930 compared to $57,045 in Manhattan.
- A higher percentage of married families is found in Agoura hills at 50.0% compared to 37.0% in Manhattan.
- The poverty level is higher in Manhattan at 10%, compared to 4% in Agoura hills.
- The unemployment rate in Agoura hills is higher at 5.1%, compared to 4.2% in Manhattan.
Demographics
Demographics Agoura hills vs Manhattan provide insight into the diversity of the communities to compare.
Demographic | Agoura hills | Manhattan |
---|---|---|
Black | 2 | Data is updating |
White | 64 | 94 |
Asian | 7 | Data is updating |
Hispanic | 17 | 2 |
Two or More Races | 10 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Agoura hills vs Manhattan
- A higher percentage of Black residents are in Agoura hills at 2% compared to 0% in Manhattan.
- The percentage of White residents is higher in Manhattan at 94% compared to 64% in Agoura hills.
- The Asian population is larger in Agoura hills at 7% compared to 0% in Manhattan.
- The Hispanic community is larger in Agoura hills at 17% compared to 2% in Manhattan.
- More residents identify as two or more races in Agoura hills at 10% compared to 3% in Manhattan.
- In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Agoura hills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Agoura hills | Manhattan |
---|---|---|
Mental Health Not Good | 13.3% | 14.4% |
Physical Health Not Good | 7.7% | 9.0% |
Depression | 16.7% | 22.7% |
Smoking | 7.4% | 13.5% |
Binge Drinking | 18.3% | 24.2% |
Obesity | 23.2% | 24.2% |
Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Agoura hills vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 14.4% compared to 13.3% in Agoura hills.
- Higher depression rates are seen in Manhattan at 22.7% versus 16.7% in Agoura hills.
- Manhattan has a higher smoking rate at 13.5% compared to 7.4% in Agoura hills.
- More residents engage in binge drinking in Manhattan at 24.2% compared to 18.3% in Agoura hills.
- Manhattan has higher obesity rates at 24.2% compared to 23.2% in Agoura hills.
- There is a higher percentage of disabled individuals in Manhattan at 12.0% compared to 10.0% in Agoura hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Agoura hills | Manhattan |
---|---|---|
No Schooling | 0.3% (59) | 0.0% (Data is updating) |
High School Diploma | 6.5% (1,274) | 15.3% (325) |
Less than High School | 3.4% (662) | 0.6% (12) |
Bachelor's Degree and Higher | 47.8% (9,304) | 18.5% (392) |
Education Levels Comparison: Agoura hills vs Manhattan
- A higher percentage of residents in Agoura hills have no formal schooling at 0.3% compared to 0.0% in Manhattan.
- In Manhattan, the rate of residents with high school diplomas is higher at 15.3% compared to 6.5% in Agoura hills.
- More residents in Agoura hills have less than a high school education at 3.4% compared to 0.6% in Manhattan.
- A higher percentage of residents in Agoura hills hold a bachelor's degree or higher at 47.8% compared to 18.5% in Manhattan.
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.