Demographics details for Owingsville, KY vs Washington, ME
Population Overview
Compare main population characteristics in Owingsville, KY vs Washington, ME.
Data | Owingsville | Washington |
---|---|---|
Population | 1,587 | 31,437 |
Median Age | 38.1 years | 48.6 years |
Median Income | $38,255 | $51,669 |
Married Families | 41.0% | 41.0% |
Poverty Level | 15% | 8% |
Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Owingsville vs Washington
- The population in Washington is higher at 31,437, compared to 1,587 in Owingsville.
- The median age in Washington is higher at 48.6 years, compared to 38.1 years in Owingsville.
- Washington has a higher median income of $51,669, compared to $38,255 in Owingsville.
- The percentage of married families is the same in both Owingsville and Washington at 41.0%.
- Owingsville has a higher poverty level at 15% compared to 8% in Washington.
- The unemployment rate in Owingsville is higher at 5.0%, compared to 3.5% in Washington.
Demographics
Demographics Owingsville vs Washington provide insight into the diversity of the communities to compare.
Demographic | Owingsville | Washington |
---|---|---|
Black | 4 | 1 |
White | 91 | 87 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 3 |
Two or More Races | 3 | 4 |
American Indian | Data is updating | 5 |
Demographics Comparison: Owingsville vs Washington
- A higher percentage of Black residents are in Owingsville at 4% compared to 1% in Washington.
- Owingsville has a higher percentage of White residents at 91% compared to 87% in Washington.
- Both Owingsville and Washington have the same percentage of Asian residents at 0%.
- Washington has a higher percentage of Hispanic residents at 3%, compared to 2% in Owingsville.
- The percentage of residents identifying as two or more races is higher in Washington at 4%, compared to 3% in Owingsville.
- In Washington, the percentage of American Indian residents is higher at 5%, compared to 0% in Owingsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Owingsville | Washington |
---|---|---|
Mental Health Not Good | 20.1% | 19.6% |
Physical Health Not Good | 14.7% | 12.4% |
Depression | 29.1% | 27.9% |
Smoking | 24.0% | 21.6% |
Binge Drinking | 15.4% | 17.8% |
Obesity | 37.5% | 37.0% |
Disability Percentage | 39.0% | 22.0% |
Health Statistics Comparison: Owingsville vs Washington
- More residents in Owingsville report poor mental health at 20.1% compared to 19.6% in Washington.
- Depression is more prevalent in Owingsville at 29.1% compared to 27.9% in Washington.
- Smoking is more prevalent in Owingsville at 24.0% compared to 21.6% in Washington.
- More residents engage in binge drinking in Washington at 17.8% compared to 15.4% in Owingsville.
- Obesity rates are higher in Owingsville at 37.5% compared to 37.0% in Washington.
- Disability percentages are higher in Owingsville at 39.0% compared to 22.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Owingsville | Washington |
---|---|---|
No Schooling | 1.1% (18) | 0.5% (169) |
High School Diploma | 24.3% (386) | 22.0% (6,922) |
Less than High School | 25.0% (396) | 12.7% (4,002) |
Bachelor's Degree and Higher | 11.3% (180) | 18.0% (5,667) |
Education Levels Comparison: Owingsville vs Washington
- A higher percentage of residents in Owingsville have no formal schooling at 1.1% compared to 0.5% in Washington.
- A higher percentage of residents in Owingsville hold a high school diploma at 24.3% compared to 22.0% in Washington.
- More residents in Owingsville have less than a high school education at 25.0% compared to 12.7% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 18.0% compared to 11.3% in Owingsville.
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.