Demographics details for Boyle, MS vs Hartford, CT
Population Overview
Compare main population characteristics in Boyle, MS vs Hartford, CT.
Data | Boyle | Hartford |
---|---|---|
Population | 499 | 120,686 |
Median Age | 36.7 years | 33.1 years |
Median Income | $33,750 | $41,841 |
Married Families | 25.0% | 19.0% |
Poverty Level | 20% | 20% |
Unemployment Rate | 4.5 | 4.9 |
Population Comparison: Boyle vs Hartford
- The population in Hartford is higher at 120,686, compared to 499 in Boyle.
- Residents in Boyle have a higher median age of 36.7 years compared to 33.1 years in Hartford.
- Hartford has a higher median income of $41,841, compared to $33,750 in Boyle.
- A higher percentage of married families is found in Boyle at 25.0% compared to 19.0% in Hartford.
- The poverty level is identical in both Boyle and Hartford at 20%.
- Hartford has a higher unemployment rate at 4.9% compared to 4.5% in Boyle.
Demographics
Demographics Boyle vs Hartford provide insight into the diversity of the communities to compare.
Demographic | Boyle | Hartford |
---|---|---|
Black | 50 | 36 |
White | 50 | 2 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 46 |
Two or More Races | Data is updating | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Boyle vs Hartford
- A higher percentage of Black residents are in Boyle at 50% compared to 36% in Hartford.
- Boyle has a higher percentage of White residents at 50% compared to 2% in Hartford.
- In Hartford, the Asian population stands at 2%, greater than 0% in Boyle.
- Hartford has a higher percentage of Hispanic residents at 46%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Hartford at 13%, compared to 0% in Boyle.
- In Hartford, the percentage of American Indian residents is higher at 1%, compared to 0% in Boyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Boyle | Hartford |
---|---|---|
Mental Health Not Good | 17.4% | 19.4% |
Physical Health Not Good | 13.3% | 14.7% |
Depression | 20.4% | 22.6% |
Smoking | 20.5% | 20.2% |
Binge Drinking | 13.0% | 12.1% |
Obesity | 41.3% | 43.3% |
Disability Percentage | 48.0% | 15.0% |
Health Statistics Comparison: Boyle vs Hartford
- In Hartford, a higher percentage report poor mental health at 19.4% compared to 17.4% in Boyle.
- Higher depression rates are seen in Hartford at 22.6% versus 20.4% in Boyle.
- Smoking is more prevalent in Boyle at 20.5% compared to 20.2% in Hartford.
- Binge drinking is more common in Boyle at 13.0% compared to 12.1% in Hartford.
- Hartford has higher obesity rates at 43.3% compared to 41.3% in Boyle.
- Disability percentages are higher in Boyle at 48.0% 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 | Boyle | Hartford |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.9% (3,500) |
High School Diploma | 16.2% (81) | 17.4% (21,002) |
Less than High School | 17.0% (85) | 27.9% (33,618) |
Bachelor's Degree and Higher | 41.7% (208) | 11.0% (13,316) |
Education Levels Comparison: Boyle vs Hartford
- In Hartford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.0% in Boyle.
- In Hartford, the rate of residents with high school diplomas is higher at 17.4% compared to 16.2% in Boyle.
- The percentage of residents with less than a high school education is higher in Hartford at 27.9%, compared to 17.0% in Boyle.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 11.0% in Hartford.
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.