Demographics details for Fort mill, SC vs Lakeland, FL
Population Overview
Compare main population characteristics in Fort mill, SC vs Lakeland, FL.
Data | Fort mill | Lakeland |
---|---|---|
Population | 30,940 | 120,071 |
Median Age | 36.7 years | 40.6 years |
Median Income | $128,125 | $58,290 |
Married Families | 37.0% | 34.0% |
Poverty Level | 5% | 14% |
Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Fort mill vs Lakeland
- The population in Lakeland is higher at 120,071, compared to 30,940 in Fort mill.
- The median age in Lakeland is higher at 40.6 years, compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125 compared to $58,290 in Lakeland.
- A higher percentage of married families is found in Fort mill at 37.0% compared to 34.0% in Lakeland.
- The poverty level is higher in Lakeland at 14%, compared to 5% in Fort mill.
- Lakeland has a higher unemployment rate at 4.5% compared to 4.1% in Fort mill.
Demographics
Demographics Fort mill vs Lakeland provide insight into the diversity of the communities to compare.
Demographic | Fort mill | Lakeland |
---|---|---|
Black | 9 | 19 |
White | 79 | 56 |
Asian | 3 | 2 |
Hispanic | 5 | 17 |
Two or More Races | 4 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort mill vs Lakeland
- In Lakeland, the percentage of Black residents is higher at 19% compared to 9% in Fort mill.
- Fort mill has a higher percentage of White residents at 79% compared to 56% in Lakeland.
- The Asian population is larger in Fort mill at 3% compared to 2% in Lakeland.
- Lakeland has a higher percentage of Hispanic residents at 17%, compared to 5% in Fort mill.
- The percentage of residents identifying as two or more races is higher in Lakeland at 6%, compared to 4% in Fort mill.
- The percentage of American Indian residents is the same in both Fort mill and Lakeland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort mill | Lakeland |
---|---|---|
Mental Health Not Good | 15.4% | 16.7% |
Physical Health Not Good | 9.4% | 12.7% |
Depression | 21.1% | 20.2% |
Smoking | 12.3% | 21.0% |
Binge Drinking | 18.3% | 15.2% |
Obesity | 31.6% | 36.6% |
Disability Percentage | 5.0% | 14.0% |
Health Statistics Comparison: Fort mill vs Lakeland
- In Lakeland, a higher percentage report poor mental health at 16.7% compared to 15.4% in Fort mill.
- Depression is more prevalent in Fort mill at 21.1% compared to 20.2% in Lakeland.
- Lakeland has a higher smoking rate at 21.0% compared to 12.3% in Fort mill.
- Binge drinking is more common in Fort mill at 18.3% compared to 15.2% in Lakeland.
- Lakeland has higher obesity rates at 36.6% compared to 31.6% in Fort mill.
- There is a higher percentage of disabled individuals in Lakeland at 14.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fort mill | Lakeland |
---|---|---|
No Schooling | 0.3% (78) | 0.9% (1,125) |
High School Diploma | 7.7% (2,372) | 18.8% (22,520) |
Less than High School | 2.8% (879) | 10.9% (13,131) |
Bachelor's Degree and Higher | 30.0% (9,271) | 17.7% (21,245) |
Education Levels Comparison: Fort mill vs Lakeland
- In Lakeland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Fort mill.
- In Lakeland, the rate of residents with high school diplomas is higher at 18.8% compared to 7.7% in Fort mill.
- The percentage of residents with less than a high school education is higher in Lakeland at 10.9%, compared to 2.8% in Fort mill.
- A higher percentage of residents in Fort mill hold a bachelor's degree or higher at 30.0% compared to 17.7% in Lakeland.
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.