Demographics details for Sanford, FL vs Mount clemens, MI
Population Overview
Compare main population characteristics in Sanford, FL vs Mount clemens, MI.
Data | Sanford | Mount clemens |
---|---|---|
Population | 63,154 | 15,409 |
Median Age | 35.6 years | 40.2 years |
Median Income | $59,181 | $55,154 |
Married Families | 31.0% | 30.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Sanford vs Mount clemens
- In Sanford, the population is higher at 63,154, compared to 15,409 in Mount clemens.
- The median age in Mount clemens is higher at 40.2 years, compared to 35.6 years in Sanford.
- Sanford has a higher median income of $59,181 compared to $55,154 in Mount clemens.
- A higher percentage of married families is found in Sanford at 31.0% compared to 30.0% in Mount clemens.
- The poverty level is identical in both Sanford and Mount clemens at 12%.
- The unemployment rate in Sanford is higher at 4.0%, compared to 3.5% in Mount clemens.
Demographics
Demographics Sanford vs Mount clemens provide insight into the diversity of the communities to compare.
Demographic | Sanford | Mount clemens |
---|---|---|
Black | 26 | 24 |
White | 31 | 65 |
Asian | 4 | Data is updating |
Hispanic | 26 | 3 |
Two or More Races | 13 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanford vs Mount clemens
- A higher percentage of Black residents are in Sanford at 26% compared to 24% in Mount clemens.
- The percentage of White residents is higher in Mount clemens at 65% compared to 31% in Sanford.
- The Asian population is larger in Sanford at 4% compared to 0% in Mount clemens.
- The Hispanic community is larger in Sanford at 26% compared to 3% in Mount clemens.
- More residents identify as two or more races in Sanford at 13% compared to 8% in Mount clemens.
- The percentage of American Indian residents is the same in both Sanford and Mount clemens at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sanford | Mount clemens |
---|---|---|
Mental Health Not Good | 16.5% | 19.9% |
Physical Health Not Good | 12.1% | 14.1% |
Depression | 18.9% | 25.8% |
Smoking | 19.9% | 25.2% |
Binge Drinking | 15.9% | 16.9% |
Obesity | 34.4% | 42.7% |
Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Sanford vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 16.5% in Sanford.
- Higher depression rates are seen in Mount clemens at 25.8% versus 18.9% in Sanford.
- Mount clemens has a higher smoking rate at 25.2% compared to 19.9% in Sanford.
- More residents engage in binge drinking in Mount clemens at 16.9% compared to 15.9% in Sanford.
- Mount clemens has higher obesity rates at 42.7% compared to 34.4% in Sanford.
- There is a higher percentage of disabled individuals in Mount clemens at 14.0% compared to 11.0% in Sanford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sanford | Mount clemens |
---|---|---|
No Schooling | 0.6% (389) | 1.4% (222) |
High School Diploma | 19.0% (11,984) | 22.3% (3,437) |
Less than High School | 11.1% (7,010) | 16.6% (2,554) |
Bachelor's Degree and Higher | 16.9% (10,683) | 12.1% (1,867) |
Education Levels Comparison: Sanford vs Mount clemens
- In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Sanford.
- In Mount clemens, the rate of residents with high school diplomas is higher at 22.3% compared to 19.0% in Sanford.
- The percentage of residents with less than a high school education is higher in Mount clemens at 16.6%, compared to 11.1% in Sanford.
- A higher percentage of residents in Sanford hold a bachelor's degree or higher at 16.9% compared to 12.1% in Mount clemens.
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.