Demographics details for Lillie, LA vs Forest, MS
Population Overview
Compare main population characteristics in Lillie, LA vs Forest, MS.
Data | Lillie | Forest |
---|---|---|
Population | 107 | 5,330 |
Median Age | 26.6 years | 36.4 years |
Median Income | $26,250 | $50,093 |
Married Families | 64.0% | 35.0% |
Poverty Level | Data is updating | 18% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Lillie vs Forest
- The population in Forest is higher at 5,330, compared to 107 in Lillie.
- The median age in Forest is higher at 36.4 years, compared to 26.6 years in Lillie.
- Forest has a higher median income of $50,093, compared to $26,250 in Lillie.
- A higher percentage of married families is found in Lillie at 64.0% compared to 35.0% in Forest.
- The poverty level is higher in Forest at 18%, compared to 0% in Lillie.
- Forest has a higher unemployment rate at 4.5% compared to 3.5% in Lillie.
Demographics
Demographics Lillie vs Forest provide insight into the diversity of the communities to compare.
Demographic | Lillie | Forest |
---|---|---|
Black | 47 | 43 |
White | 46 | 24 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | 30 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lillie vs Forest
- A higher percentage of Black residents are in Lillie at 47% compared to 43% in Forest.
- Lillie has a higher percentage of White residents at 46% compared to 24% in Forest.
- Both Lillie and Forest have the same percentage of Asian residents at 0%.
- Forest has a higher percentage of Hispanic residents at 30%, compared to 7% in Lillie.
- The percentage of residents identifying as two or more races is higher in Forest at 3%, compared to 0% in Lillie.
- The percentage of American Indian residents is the same in both Lillie and Forest at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lillie | Forest |
---|---|---|
Mental Health Not Good | 19.6% | 18.9% |
Physical Health Not Good | 13.5% | 16.8% |
Depression | 24.8% | 21.2% |
Smoking | 23.4% | 26.1% |
Binge Drinking | 17.8% | 11.8% |
Obesity | 42.4% | 45.7% |
Disability Percentage | 22.0% | 20.0% |
Health Statistics Comparison: Lillie vs Forest
- More residents in Lillie report poor mental health at 19.6% compared to 18.9% in Forest.
- Depression is more prevalent in Lillie at 24.8% compared to 21.2% in Forest.
- Forest has a higher smoking rate at 26.1% compared to 23.4% in Lillie.
- Binge drinking is more common in Lillie at 17.8% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 42.4% in Lillie.
- Disability percentages are higher in Lillie at 22.0% compared to 20.0% in Forest.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lillie | Forest |
---|---|---|
No Schooling | 0.0% (Data is updating) | 4.4% (232) |
High School Diploma | 31.8% (34) | 10.5% (557) |
Less than High School | 17.8% (19) | 33.4% (1,779) |
Bachelor's Degree and Higher | 23.4% (25) | 8.5% (455) |
Education Levels Comparison: Lillie vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 0.0% in Lillie.
- A higher percentage of residents in Lillie hold a high school diploma at 31.8% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 17.8% in Lillie.
- A higher percentage of residents in Lillie hold a bachelor's degree or higher at 23.4% compared to 8.5% in Forest.
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.