Demographics details for Grandview, MO vs Ash fork, AZ
Population Overview
Compare main population characteristics in Grandview, MO vs Ash fork, AZ.
Data | Grandview | Ash fork |
---|---|---|
Population | 25,610 | 466 |
Median Age | 35.9 years | 38.6 years |
Median Income | $51,048 | $79,861 |
Married Families | 30.0% | 50.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Grandview vs Ash fork
- In Grandview, the population is higher at 25,610, compared to 466 in Ash fork.
- The median age in Ash fork is higher at 38.6 years, compared to 35.9 years in Grandview.
- Ash fork has a higher median income of $79,861, compared to $51,048 in Grandview.
- In Ash fork, the percentage of married families is higher at 50.0%, compared to 30.0% in Grandview.
- The poverty level is higher in Ash fork at 10%, compared to 9% in Grandview.
- The unemployment rate in Grandview is higher at 4.5%, compared to 4.1% in Ash fork.
Demographics
Demographics Grandview vs Ash fork provide insight into the diversity of the communities to compare.
Demographic | Grandview | Ash fork |
---|---|---|
Black | 34 | Data is updating |
White | 40 | 79 |
Asian | 2 | Data is updating |
Hispanic | 15 | 6 |
Two or More Races | 8 | 15 |
American Indian | 1 | Data is updating |
Demographics Comparison: Grandview vs Ash fork
- A higher percentage of Black residents are in Grandview at 34% compared to 0% in Ash fork.
- The percentage of White residents is higher in Ash fork at 79% compared to 40% in Grandview.
- The Asian population is larger in Grandview at 2% compared to 0% in Ash fork.
- The Hispanic community is larger in Grandview at 15% compared to 6% in Ash fork.
- The percentage of residents identifying as two or more races is higher in Ash fork at 15%, compared to 8% in Grandview.
- A greater percentage of American Indian residents live in Grandview at 1% compared to 0% in Ash fork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grandview | Ash fork |
---|---|---|
Mental Health Not Good | 19.4% | 18.4% |
Physical Health Not Good | 13.1% | 13.2% |
Depression | 21.6% | 21.4% |
Smoking | 20.4% | 19.3% |
Binge Drinking | 18.1% | 15.9% |
Obesity | 41.9% | 30.6% |
Disability Percentage | 15.0% | 26.0% |
Health Statistics Comparison: Grandview vs Ash fork
- More residents in Grandview report poor mental health at 19.4% compared to 18.4% in Ash fork.
- Depression is more prevalent in Grandview at 21.6% compared to 21.4% in Ash fork.
- Smoking is more prevalent in Grandview at 20.4% compared to 19.3% in Ash fork.
- Binge drinking is more common in Grandview at 18.1% compared to 15.9% in Ash fork.
- Obesity rates are higher in Grandview at 41.9% compared to 30.6% in Ash fork.
- There is a higher percentage of disabled individuals in Ash fork at 26.0% compared to 15.0% in Grandview.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Grandview | Ash fork |
---|---|---|
No Schooling | 0.8% (200) | 0.0% (Data is updating) |
High School Diploma | 19.0% (4,878) | 13.1% (61) |
Less than High School | 10.6% (2,721) | 23.6% (110) |
Bachelor's Degree and Higher | 16.2% (4,147) | 8.8% (41) |
Education Levels Comparison: Grandview vs Ash fork
- A higher percentage of residents in Grandview have no formal schooling at 0.8% compared to 0.0% in Ash fork.
- A higher percentage of residents in Grandview hold a high school diploma at 19.0% compared to 13.1% in Ash fork.
- The percentage of residents with less than a high school education is higher in Ash fork at 23.6%, compared to 10.6% in Grandview.
- A higher percentage of residents in Grandview hold a bachelor's degree or higher at 16.2% compared to 8.8% in Ash fork.
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.