Demographics details for Forest, MS vs Devils lake, ND
Population Overview
Compare main population characteristics in Forest, MS vs Devils lake, ND.
Data | Forest | Devils lake |
---|---|---|
Population | 5,330 | 7,161 |
Median Age | 36.4 years | 37.1 years |
Median Income | $50,093 | $41,203 |
Married Families | 35.0% | 35.0% |
Poverty Level | 18% | 13% |
Unemployment Rate | 4.5 | 2.8 |
Population Comparison: Forest vs Devils lake
- The population in Devils lake is higher at 7,161, compared to 5,330 in Forest.
- The median age in Devils lake is higher at 37.1 years, compared to 36.4 years in Forest.
- Forest has a higher median income of $50,093 compared to $41,203 in Devils lake.
- The percentage of married families is the same in both Forest and Devils lake at 35.0%.
- Forest has a higher poverty level at 18% compared to 13% in Devils lake.
- The unemployment rate in Forest is higher at 4.5%, compared to 2.8% in Devils lake.
Demographics
Demographics Forest vs Devils lake provide insight into the diversity of the communities to compare.
Demographic | Forest | Devils lake |
---|---|---|
Black | 43 | 1 |
White | 24 | 75 |
Asian | Data is updating | 1 |
Hispanic | 30 | 3 |
Two or More Races | 3 | 3 |
American Indian | Data is updating | 17 |
Demographics Comparison: Forest vs Devils lake
- A higher percentage of Black residents are in Forest at 43% compared to 1% in Devils lake.
- The percentage of White residents is higher in Devils lake at 75% compared to 24% in Forest.
- In Devils lake, the Asian population stands at 1%, greater than 0% in Forest.
- The Hispanic community is larger in Forest at 30% compared to 3% in Devils lake.
- Both Forest and Devils lake have the same percentage of residents identifying as two or more races at 3%.
- In Devils lake, the percentage of American Indian residents is higher at 17%, compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest | Devils lake |
---|---|---|
Mental Health Not Good | 18.9% | 14.3% |
Physical Health Not Good | 16.8% | 9.9% |
Depression | 21.2% | 19.9% |
Smoking | 26.1% | 17.9% |
Binge Drinking | 11.8% | 23.3% |
Obesity | 45.7% | 37.1% |
Disability Percentage | 20.0% | 22.0% |
Health Statistics Comparison: Forest vs Devils lake
- More residents in Forest report poor mental health at 18.9% compared to 14.3% in Devils lake.
- Depression is more prevalent in Forest at 21.2% compared to 19.9% in Devils lake.
- Smoking is more prevalent in Forest at 26.1% compared to 17.9% in Devils lake.
- More residents engage in binge drinking in Devils lake at 23.3% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 37.1% in Devils lake.
- There is a higher percentage of disabled individuals in Devils lake 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 | Forest | Devils lake |
---|---|---|
No Schooling | 4.4% (232) | 0.8% (54) |
High School Diploma | 10.5% (557) | 17.8% (1,278) |
Less than High School | 33.4% (1,779) | 9.3% (665) |
Bachelor's Degree and Higher | 8.5% (455) | 14.8% (1,062) |
Education Levels Comparison: Forest vs Devils lake
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 0.8% in Devils lake.
- In Devils lake, the rate of residents with high school diplomas is higher at 17.8% compared to 10.5% in Forest.
- More residents in Forest have less than a high school education at 33.4% compared to 9.3% in Devils lake.
- In Devils lake, a larger share of residents have a bachelor's degree or higher at 14.8% 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.