Demographics details for Phoenix, AZ vs Falling waters, WV
Population Overview
Compare main population characteristics in Phoenix, AZ vs Falling waters, WV.
Data | Phoenix | Falling waters |
---|---|---|
Population | 1,644,409 | 2,150 |
Median Age | 34.4 years | 32.2 years |
Median Income | $72,092 | $84,038 |
Married Families | 33.0% | 29.0% |
Poverty Level | 15% | 9% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Phoenix vs Falling waters
- In Phoenix, the population is higher at 1,644,409, compared to 2,150 in Falling waters.
- Residents in Phoenix have a higher median age of 34.4 years compared to 32.2 years in Falling waters.
- Falling waters has a higher median income of $84,038, compared to $72,092 in Phoenix.
- A higher percentage of married families is found in Phoenix at 33.0% compared to 29.0% in Falling waters.
- Phoenix has a higher poverty level at 15% compared to 9% in Falling waters.
- The unemployment rate is the same in both Phoenix and Falling waters at 3.5%.
Demographics
Demographics Phoenix vs Falling waters provide insight into the diversity of the communities to compare.
Demographic | Phoenix | Falling waters |
---|---|---|
Black | 7 | 6 |
White | 29 | 92 |
Asian | 4 | Data is updating |
Hispanic | 42 | Data is updating |
Two or More Races | 16 | 2 |
American Indian | 2 | Data is updating |
Demographics Comparison: Phoenix vs Falling waters
- A higher percentage of Black residents are in Phoenix at 7% compared to 6% in Falling waters.
- The percentage of White residents is higher in Falling waters at 92% compared to 29% in Phoenix.
- The Asian population is larger in Phoenix at 4% compared to 0% in Falling waters.
- The Hispanic community is larger in Phoenix at 42% compared to 0% in Falling waters.
- More residents identify as two or more races in Phoenix at 16% compared to 2% in Falling waters.
- A greater percentage of American Indian residents live in Phoenix at 2% compared to 0% in Falling waters.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Phoenix | Falling waters |
---|---|---|
Mental Health Not Good | 17.7% | 18.5% |
Physical Health Not Good | 11.9% | 11.9% |
Depression | 19.5% | 25.7% |
Smoking | 16.0% | 18.7% |
Binge Drinking | 16.9% | 15.2% |
Obesity | 32.6% | 37.6% |
Disability Percentage | 10.0% | 24.0% |
Health Statistics Comparison: Phoenix vs Falling waters
- In Falling waters, a higher percentage report poor mental health at 18.5% compared to 17.7% in Phoenix.
- Higher depression rates are seen in Falling waters at 25.7% versus 19.5% in Phoenix.
- Falling waters has a higher smoking rate at 18.7% compared to 16.0% in Phoenix.
- Binge drinking is more common in Phoenix at 16.9% compared to 15.2% in Falling waters.
- Falling waters has higher obesity rates at 37.6% compared to 32.6% in Phoenix.
- There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 10.0% in Phoenix.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Phoenix | Falling waters |
---|---|---|
No Schooling | 1.6% (26,412) | 0.0% (Data is updating) |
High School Diploma | 12.2% (201,372) | 22.4% (482) |
Less than High School | 19.5% (321,046) | 4.7% (102) |
Bachelor's Degree and Higher | 19.9% (327,861) | 11.0% (237) |
Education Levels Comparison: Phoenix vs Falling waters
- A higher percentage of residents in Phoenix have no formal schooling at 1.6% compared to 0.0% in Falling waters.
- In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 12.2% in Phoenix.
- More residents in Phoenix have less than a high school education at 19.5% compared to 4.7% in Falling waters.
- A higher percentage of residents in Phoenix hold a bachelor's degree or higher at 19.9% compared to 11.0% in Falling waters.
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.