Demographics details for Mount vernon, NY vs Keiser, AR
Population Overview
Compare main population characteristics in Mount vernon, NY vs Keiser, AR.
Data | Mount vernon | Keiser |
---|---|---|
Population | 71,714 | 713 |
Median Age | 41.4 years | 41.6 years |
Median Income | $75,511 | $50,136 |
Married Families | 30.0% | 35.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Mount vernon vs Keiser
- In Mount vernon, the population is higher at 71,714, compared to 713 in Keiser.
- The median age in Keiser is higher at 41.6 years, compared to 41.4 years in Mount vernon.
- Mount vernon has a higher median income of $75,511 compared to $50,136 in Keiser.
- In Keiser, the percentage of married families is higher at 35.0%, compared to 30.0% in Mount vernon.
- Mount vernon has a higher poverty level at 13% compared to 12% in Keiser.
- The unemployment rate in Mount vernon is higher at 4.5%, compared to 3.5% in Keiser.
Demographics
Demographics Mount vernon vs Keiser provide insight into the diversity of the communities to compare.
Demographic | Mount vernon | Keiser |
---|---|---|
Black | 63 | 4 |
White | 10 | 83 |
Asian | 2 | Data is updating |
Hispanic | 17 | 1 |
Two or More Races | 7 | 12 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mount vernon vs Keiser
- A higher percentage of Black residents are in Mount vernon at 63% compared to 4% in Keiser.
- The percentage of White residents is higher in Keiser at 83% compared to 10% in Mount vernon.
- The Asian population is larger in Mount vernon at 2% compared to 0% in Keiser.
- The Hispanic community is larger in Mount vernon at 17% compared to 1% in Keiser.
- The percentage of residents identifying as two or more races is higher in Keiser at 12%, compared to 7% in Mount vernon.
- A greater percentage of American Indian residents live in Mount vernon at 1% compared to 0% in Keiser.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount vernon | Keiser |
---|---|---|
Mental Health Not Good | 15.2% | 20.3% |
Physical Health Not Good | 10.8% | 14.6% |
Depression | 17.2% | 28.9% |
Smoking | 15.7% | 24.9% |
Binge Drinking | 14.0% | 15.2% |
Obesity | 34.8% | 34.9% |
Disability Percentage | 13.0% | 27.0% |
Health Statistics Comparison: Mount vernon vs Keiser
- In Keiser, a higher percentage report poor mental health at 20.3% compared to 15.2% in Mount vernon.
- Higher depression rates are seen in Keiser at 28.9% versus 17.2% in Mount vernon.
- Keiser has a higher smoking rate at 24.9% compared to 15.7% in Mount vernon.
- More residents engage in binge drinking in Keiser at 15.2% compared to 14.0% in Mount vernon.
- Keiser has higher obesity rates at 34.9% compared to 34.8% in Mount vernon.
- There is a higher percentage of disabled individuals in Keiser at 27.0% compared to 13.0% in Mount vernon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount vernon | Keiser |
---|---|---|
No Schooling | 1.8% (1,292) | 6.2% (44) |
High School Diploma | 14.2% (10,151) | 15.0% (107) |
Less than High School | 15.9% (11,387) | 55.5% (396) |
Bachelor's Degree and Higher | 25.3% (18,122) | 7.3% (52) |
Education Levels Comparison: Mount vernon vs Keiser
- In Keiser, a larger percentage of residents lack formal schooling at 6.2% compared to 1.8% in Mount vernon.
- In Keiser, the rate of residents with high school diplomas is higher at 15.0% compared to 14.2% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Keiser at 55.5%, compared to 15.9% in Mount vernon.
- A higher percentage of residents in Mount vernon hold a bachelor's degree or higher at 25.3% compared to 7.3% in Keiser.
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.