Demographics details for Milford, CT vs Lexington, TN
Population Overview
Compare main population characteristics in Milford, CT vs Lexington, TN.
Data | Milford | Lexington |
---|---|---|
Population | 50,471 | 7,952 |
Median Age | 46.6 years | 36.6 years |
Median Income | $104,503 | $45,877 |
Married Families | 45.0% | 35.0% |
Poverty Level | 5% | 13% |
Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Milford vs Lexington
- In Milford, the population is higher at 50,471, compared to 7,952 in Lexington.
- Residents in Milford have a higher median age of 46.6 years compared to 36.6 years in Lexington.
- Milford has a higher median income of $104,503 compared to $45,877 in Lexington.
- A higher percentage of married families is found in Milford at 45.0% compared to 35.0% in Lexington.
- The poverty level is higher in Lexington at 13%, compared to 5% in Milford.
- The unemployment rate is the same in both Milford and Lexington at 4.2%.
Demographics
Demographics Milford vs Lexington provide insight into the diversity of the communities to compare.
Demographic | Milford | Lexington |
---|---|---|
Black | 2 | 17 |
White | 79 | 81 |
Asian | 5 | Data is updating |
Hispanic | 8 | 1 |
Two or More Races | 6 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Lexington
- In Lexington, the percentage of Black residents is higher at 17% compared to 2% in Milford.
- The percentage of White residents is higher in Lexington at 81% compared to 79% in Milford.
- The Asian population is larger in Milford at 5% compared to 0% in Lexington.
- The Hispanic community is larger in Milford at 8% compared to 1% in Lexington.
- More residents identify as two or more races in Milford at 6% compared to 1% in Lexington.
- The percentage of American Indian residents is the same in both Milford and Lexington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | Lexington |
---|---|---|
Mental Health Not Good | 13.2% | 21.6% |
Physical Health Not Good | 7.9% | 15.3% |
Depression | 20.5% | 30.4% |
Smoking | 12.7% | 26.1% |
Binge Drinking | 17.0% | 14.4% |
Obesity | 27.5% | 39.9% |
Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Milford vs Lexington
- In Lexington, a higher percentage report poor mental health at 21.6% compared to 13.2% in Milford.
- Higher depression rates are seen in Lexington at 30.4% versus 20.5% in Milford.
- Lexington has a higher smoking rate at 26.1% compared to 12.7% in Milford.
- Binge drinking is more common in Milford at 17.0% compared to 14.4% in Lexington.
- Lexington has higher obesity rates at 39.9% compared to 27.5% in Milford.
- There is a higher percentage of disabled individuals in Lexington at 14.0% compared to 10.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Milford | Lexington |
---|---|---|
No Schooling | 0.7% (366) | 0.4% (29) |
High School Diploma | 16.7% (8,431) | 22.4% (1,783) |
Less than High School | 6.6% (3,307) | 14.6% (1,159) |
Bachelor's Degree and Higher | 36.0% (18,184) | 9.3% (740) |
Education Levels Comparison: Milford vs Lexington
- A higher percentage of residents in Milford have no formal schooling at 0.7% compared to 0.4% in Lexington.
- In Lexington, the rate of residents with high school diplomas is higher at 22.4% compared to 16.7% in Milford.
- The percentage of residents with less than a high school education is higher in Lexington at 14.6%, compared to 6.6% in Milford.
- A higher percentage of residents in Milford hold a bachelor's degree or higher at 36.0% compared to 9.3% in Lexington.
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.