Demographics details for Sunrise beach, MO vs Loretto, KY
Population Overview
Compare main population characteristics in Sunrise beach, MO vs Loretto, KY.
Data | Sunrise beach | Loretto |
---|---|---|
Population | 475 | 716 |
Median Age | 43.9 years | 44.8 years |
Median Income | $46,389 | $49,688 |
Married Families | 33.0% | 38.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Sunrise beach vs Loretto
- The population in Loretto is higher at 716, compared to 475 in Sunrise beach.
- The median age in Loretto is higher at 44.8 years, compared to 43.9 years in Sunrise beach.
- Loretto has a higher median income of $49,688, compared to $46,389 in Sunrise beach.
- In Loretto, the percentage of married families is higher at 38.0%, compared to 33.0% in Sunrise beach.
- Sunrise beach has a higher poverty level at 12% compared to 10% in Loretto.
- The unemployment rate is the same in both Sunrise beach and Loretto at 3.5%.
Demographics
Demographics Sunrise beach vs Loretto provide insight into the diversity of the communities to compare.
Demographic | Sunrise beach | Loretto |
---|---|---|
Black | 1 | 1 |
White | 91 | 99 |
Asian | 1 | Data is updating |
Hispanic | 5 | Data is updating |
Two or More Races | 1 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Sunrise beach vs Loretto
- The percentage of Black residents is the same in both Sunrise beach and Loretto at 1%.
- The percentage of White residents is higher in Loretto at 99% compared to 91% in Sunrise beach.
- The Asian population is larger in Sunrise beach at 1% compared to 0% in Loretto.
- The Hispanic community is larger in Sunrise beach at 5% compared to 0% in Loretto.
- More residents identify as two or more races in Sunrise beach at 1% compared to 0% in Loretto.
- A greater percentage of American Indian residents live in Sunrise beach at 1% compared to 0% in Loretto.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sunrise beach | Loretto |
---|---|---|
Mental Health Not Good | 17.7% | 19.9% |
Physical Health Not Good | 12.6% | 14.6% |
Depression | 25.2% | 28.6% |
Smoking | 20.6% | 24.3% |
Binge Drinking | 19.7% | 15.4% |
Obesity | 37.2% | 39.3% |
Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Sunrise beach vs Loretto
- In Loretto, a higher percentage report poor mental health at 19.9% compared to 17.7% in Sunrise beach.
- Higher depression rates are seen in Loretto at 28.6% versus 25.2% in Sunrise beach.
- Loretto has a higher smoking rate at 24.3% compared to 20.6% in Sunrise beach.
- Binge drinking is more common in Sunrise beach at 19.7% compared to 15.4% in Loretto.
- Loretto has higher obesity rates at 39.3% compared to 37.2% in Sunrise beach.
- Disability percentages are higher in Sunrise beach at 17.0% compared to 15.0% in Loretto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sunrise beach | Loretto |
---|---|---|
No Schooling | 1.1% (5) | 3.4% (24) |
High School Diploma | 20.8% (99) | 27.2% (195) |
Less than High School | 2.9% (14) | 23.2% (166) |
Bachelor's Degree and Higher | 25.5% (121) | 5.4% (39) |
Education Levels Comparison: Sunrise beach vs Loretto
- In Loretto, a larger percentage of residents lack formal schooling at 3.4% compared to 1.1% in Sunrise beach.
- In Loretto, the rate of residents with high school diplomas is higher at 27.2% compared to 20.8% in Sunrise beach.
- The percentage of residents with less than a high school education is higher in Loretto at 23.2%, compared to 2.9% in Sunrise beach.
- A higher percentage of residents in Sunrise beach hold a bachelor's degree or higher at 25.5% compared to 5.4% in Loretto.
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.