Demographics details for Lillie, LA vs Sunrise beach, MO
Population Overview
Compare main population characteristics in Lillie, LA vs Sunrise beach, MO.
Data | Lillie | Sunrise beach |
---|---|---|
Population | 107 | 475 |
Median Age | 26.6 years | 43.9 years |
Median Income | $26,250 | $46,389 |
Married Families | 64.0% | 33.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Lillie vs Sunrise beach
- The population in Sunrise beach is higher at 475, compared to 107 in Lillie.
- The median age in Sunrise beach is higher at 43.9 years, compared to 26.6 years in Lillie.
- Sunrise beach has a higher median income of $46,389, compared to $26,250 in Lillie.
- A higher percentage of married families is found in Lillie at 64.0% compared to 33.0% in Sunrise beach.
- The poverty level is higher in Sunrise beach at 12%, compared to 0% in Lillie.
- The unemployment rate is the same in both Lillie and Sunrise beach at 3.5%.
Demographics
Demographics Lillie vs Sunrise beach provide insight into the diversity of the communities to compare.
Demographic | Lillie | Sunrise beach |
---|---|---|
Black | 47 | 1 |
White | 46 | 91 |
Asian | Data is updating | 1 |
Hispanic | 7 | 5 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | 1 |
Demographics Comparison: Lillie vs Sunrise beach
- A higher percentage of Black residents are in Lillie at 47% compared to 1% in Sunrise beach.
- The percentage of White residents is higher in Sunrise beach at 91% compared to 46% in Lillie.
- In Sunrise beach, the Asian population stands at 1%, greater than 0% in Lillie.
- The Hispanic community is larger in Lillie at 7% compared to 5% in Sunrise beach.
- The percentage of residents identifying as two or more races is higher in Sunrise beach at 1%, compared to 0% in Lillie.
- In Sunrise beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Lillie.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lillie | Sunrise beach |
---|---|---|
Mental Health Not Good | 19.6% | 17.7% |
Physical Health Not Good | 13.5% | 12.6% |
Depression | 24.8% | 25.2% |
Smoking | 23.4% | 20.6% |
Binge Drinking | 17.8% | 19.7% |
Obesity | 42.4% | 37.2% |
Disability Percentage | 22.0% | 17.0% |
Health Statistics Comparison: Lillie vs Sunrise beach
- More residents in Lillie report poor mental health at 19.6% compared to 17.7% in Sunrise beach.
- Higher depression rates are seen in Sunrise beach at 25.2% versus 24.8% in Lillie.
- Smoking is more prevalent in Lillie at 23.4% compared to 20.6% in Sunrise beach.
- More residents engage in binge drinking in Sunrise beach at 19.7% compared to 17.8% in Lillie.
- Obesity rates are higher in Lillie at 42.4% compared to 37.2% in Sunrise beach.
- Disability percentages are higher in Lillie at 22.0% compared to 17.0% in Sunrise beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lillie | Sunrise beach |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (5) |
High School Diploma | 31.8% (34) | 20.8% (99) |
Less than High School | 17.8% (19) | 2.9% (14) |
Bachelor's Degree and Higher | 23.4% (25) | 25.5% (121) |
Education Levels Comparison: Lillie vs Sunrise beach
- In Sunrise beach, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Lillie.
- A higher percentage of residents in Lillie hold a high school diploma at 31.8% compared to 20.8% in Sunrise beach.
- More residents in Lillie have less than a high school education at 17.8% compared to 2.9% in Sunrise beach.
- In Sunrise beach, a larger share of residents have a bachelor's degree or higher at 25.5% compared to 23.4% in Lillie.
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.