Demographics details for Forest, MS vs Hartford, CT
Population Overview
Compare main population characteristics in Forest, MS vs Hartford, CT.
Data | Forest | Hartford |
---|---|---|
Population | 5,330 | 120,686 |
Median Age | 36.4 years | 33.1 years |
Median Income | $50,093 | $41,841 |
Married Families | 35.0% | 19.0% |
Poverty Level | 18% | 20% |
Unemployment Rate | 4.5 | 4.9 |
Population Comparison: Forest vs Hartford
- The population in Hartford is higher at 120,686, compared to 5,330 in Forest.
- Residents in Forest have a higher median age of 36.4 years compared to 33.1 years in Hartford.
- Forest has a higher median income of $50,093 compared to $41,841 in Hartford.
- A higher percentage of married families is found in Forest at 35.0% compared to 19.0% in Hartford.
- The poverty level is higher in Hartford at 20%, compared to 18% in Forest.
- Hartford has a higher unemployment rate at 4.9% compared to 4.5% in Forest.
Demographics
Demographics Forest vs Hartford provide insight into the diversity of the communities to compare.
Demographic | Forest | Hartford |
---|---|---|
Black | 43 | 36 |
White | 24 | 2 |
Asian | Data is updating | 2 |
Hispanic | 30 | 46 |
Two or More Races | 3 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Forest vs Hartford
- A higher percentage of Black residents are in Forest at 43% compared to 36% in Hartford.
- Forest has a higher percentage of White residents at 24% compared to 2% in Hartford.
- In Hartford, the Asian population stands at 2%, greater than 0% in Forest.
- Hartford has a higher percentage of Hispanic residents at 46%, compared to 30% in Forest.
- The percentage of residents identifying as two or more races is higher in Hartford at 13%, compared to 3% in Forest.
- In Hartford, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest | Hartford |
---|---|---|
Mental Health Not Good | 18.9% | 19.4% |
Physical Health Not Good | 16.8% | 14.7% |
Depression | 21.2% | 22.6% |
Smoking | 26.1% | 20.2% |
Binge Drinking | 11.8% | 12.1% |
Obesity | 45.7% | 43.3% |
Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Forest vs Hartford
- In Hartford, a higher percentage report poor mental health at 19.4% compared to 18.9% in Forest.
- Higher depression rates are seen in Hartford at 22.6% versus 21.2% in Forest.
- Smoking is more prevalent in Forest at 26.1% compared to 20.2% in Hartford.
- More residents engage in binge drinking in Hartford at 12.1% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 43.3% in Hartford.
- Disability percentages are higher in Forest at 20.0% compared to 15.0% in Hartford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Forest | Hartford |
---|---|---|
No Schooling | 4.4% (232) | 2.9% (3,500) |
High School Diploma | 10.5% (557) | 17.4% (21,002) |
Less than High School | 33.4% (1,779) | 27.9% (33,618) |
Bachelor's Degree and Higher | 8.5% (455) | 11.0% (13,316) |
Education Levels Comparison: Forest vs Hartford
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 2.9% in Hartford.
- In Hartford, the rate of residents with high school diplomas is higher at 17.4% compared to 10.5% in Forest.
- More residents in Forest have less than a high school education at 33.4% compared to 27.9% in Hartford.
- In Hartford, a larger share of residents have a bachelor's degree or higher at 11.0% 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.