Demographics details for Washington, KS vs Felicity, OH
Population Overview
Compare main population characteristics in Washington, KS vs Felicity, OH.
Data | Washington | Felicity |
---|---|---|
Population | 5,501 | 653 |
Median Age | 44.9 years | 39.5 years |
Median Income | $59,432 | $34,821 |
Married Families | 46.0% | 26.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Washington vs Felicity
- In Washington, the population is higher at 5,501, compared to 653 in Felicity.
- Residents in Washington have a higher median age of 44.9 years compared to 39.5 years in Felicity.
- Washington has a higher median income of $59,432 compared to $34,821 in Felicity.
- A higher percentage of married families is found in Washington at 46.0% compared to 26.0% in Felicity.
- Washington has a higher poverty level at 12% compared to 10% in Felicity.
- Felicity has a higher unemployment rate at 4.5% compared to 3.0% in Washington.
Demographics
Demographics Washington vs Felicity provide insight into the diversity of the communities to compare.
Demographic | Washington | Felicity |
---|---|---|
Black | Data is updating | Data is updating |
White | 93 | 100 |
Asian | 1 | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Felicity
- The percentage of Black residents is the same in both Washington and Felicity at 0%.
- The percentage of White residents is higher in Felicity at 100% compared to 93% in Washington.
- The Asian population is larger in Washington at 1% compared to 0% in Felicity.
- The Hispanic community is larger in Washington at 4% compared to 0% in Felicity.
- More residents identify as two or more races in Washington at 2% compared to 0% in Felicity.
- The percentage of American Indian residents is the same in both Washington and Felicity at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Felicity |
---|---|---|
Mental Health Not Good | 15.8% | 18.3% |
Physical Health Not Good | 10.1% | 12.3% |
Depression | 20.9% | 25.3% |
Smoking | 18.8% | 22.8% |
Binge Drinking | 20.4% | 19.8% |
Obesity | 42.1% | 36.8% |
Disability Percentage | 14.0% | 31.0% |
Health Statistics Comparison: Washington vs Felicity
- In Felicity, a higher percentage report poor mental health at 18.3% compared to 15.8% in Washington.
- Higher depression rates are seen in Felicity at 25.3% versus 20.9% in Washington.
- Felicity has a higher smoking rate at 22.8% compared to 18.8% in Washington.
- Binge drinking is more common in Washington at 20.4% compared to 19.8% in Felicity.
- Obesity rates are higher in Washington at 42.1% compared to 36.8% in Felicity.
- There is a higher percentage of disabled individuals in Felicity at 31.0% compared to 14.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Felicity |
---|---|---|
No Schooling | 0.8% (45) | 0.0% (Data is updating) |
High School Diploma | 24.9% (1,368) | 18.2% (119) |
Less than High School | 9.0% (494) | 25.7% (168) |
Bachelor's Degree and Higher | 15.8% (869) | 3.5% (23) |
Education Levels Comparison: Washington vs Felicity
- A higher percentage of residents in Washington have no formal schooling at 0.8% compared to 0.0% in Felicity.
- A higher percentage of residents in Washington hold a high school diploma at 24.9% compared to 18.2% in Felicity.
- The percentage of residents with less than a high school education is higher in Felicity at 25.7%, compared to 9.0% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 15.8% compared to 3.5% in Felicity.
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.