Demographics details for Falling waters, WV vs Fort mill, SC
Population Overview
Compare main population characteristics in Falling waters, WV vs Fort mill, SC.
Data | Falling waters | Fort mill |
---|---|---|
Population | 2,150 | 30,940 |
Median Age | 32.2 years | 36.7 years |
Median Income | $84,038 | $128,125 |
Married Families | 29.0% | 37.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Falling waters vs Fort mill
- The population in Fort mill is higher at 30,940, compared to 2,150 in Falling waters.
- The median age in Fort mill is higher at 36.7 years, compared to 32.2 years in Falling waters.
- Fort mill has a higher median income of $128,125, compared to $84,038 in Falling waters.
- In Fort mill, the percentage of married families is higher at 37.0%, compared to 29.0% in Falling waters.
- Falling waters has a higher poverty level at 9% compared to 5% in Fort mill.
- Fort mill has a higher unemployment rate at 4.1% compared to 3.5% in Falling waters.
Demographics
Demographics Falling waters vs Fort mill provide insight into the diversity of the communities to compare.
Demographic | Falling waters | Fort mill |
---|---|---|
Black | 6 | 9 |
White | 92 | 79 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 5 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Falling waters vs Fort mill
- In Fort mill, the percentage of Black residents is higher at 9% compared to 6% in Falling waters.
- Falling waters has a higher percentage of White residents at 92% compared to 79% in Fort mill.
- In Fort mill, the Asian population stands at 3%, greater than 0% in Falling waters.
- Fort mill has a higher percentage of Hispanic residents at 5%, compared to 0% in Falling waters.
- The percentage of residents identifying as two or more races is higher in Fort mill at 4%, compared to 2% in Falling waters.
- The percentage of American Indian residents is the same in both Falling waters and Fort mill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Falling waters | Fort mill |
---|---|---|
Mental Health Not Good | 18.5% | 15.4% |
Physical Health Not Good | 11.9% | 9.4% |
Depression | 25.7% | 21.1% |
Smoking | 18.7% | 12.3% |
Binge Drinking | 15.2% | 18.3% |
Obesity | 37.6% | 31.6% |
Disability Percentage | 24.0% | 5.0% |
Health Statistics Comparison: Falling waters vs Fort mill
- More residents in Falling waters report poor mental health at 18.5% compared to 15.4% in Fort mill.
- Depression is more prevalent in Falling waters at 25.7% compared to 21.1% in Fort mill.
- Smoking is more prevalent in Falling waters at 18.7% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Fort mill at 18.3% compared to 15.2% in Falling waters.
- Obesity rates are higher in Falling waters at 37.6% compared to 31.6% in Fort mill.
- Disability percentages are higher in Falling waters at 24.0% 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 | Falling waters | Fort mill |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (78) |
High School Diploma | 22.4% (482) | 7.7% (2,372) |
Less than High School | 4.7% (102) | 2.8% (879) |
Bachelor's Degree and Higher | 11.0% (237) | 30.0% (9,271) |
Education Levels Comparison: Falling waters vs Fort mill
- In Fort mill, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Falling waters.
- A higher percentage of residents in Falling waters hold a high school diploma at 22.4% compared to 7.7% in Fort mill.
- More residents in Falling waters have less than a high school education at 4.7% compared to 2.8% in Fort mill.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% compared to 11.0% in Falling waters.
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.