Demographics details for Fort mill, SC vs Penngrove, CA
Population Overview
Compare main population characteristics in Fort mill, SC vs Penngrove, CA.
Data | Fort mill | Penngrove |
---|---|---|
Population | 30,940 | 2,184 |
Median Age | 36.7 years | 59.0 years |
Median Income | $128,125 | $97,237 |
Married Families | 37.0% | 47.0% |
Poverty Level | 5% | 6% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Fort mill vs Penngrove
- In Fort mill, the population is higher at 30,940, compared to 2,184 in Penngrove.
- The median age in Penngrove is higher at 59.0 years, compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125 compared to $97,237 in Penngrove.
- In Penngrove, the percentage of married families is higher at 47.0%, compared to 37.0% in Fort mill.
- The poverty level is higher in Penngrove at 6%, compared to 5% in Fort mill.
- Penngrove has a higher unemployment rate at 4.2% compared to 4.1% in Fort mill.
Demographics
Demographics Fort mill vs Penngrove provide insight into the diversity of the communities to compare.
Demographic | Fort mill | Penngrove |
---|---|---|
Black | 9 | Data is updating |
White | 79 | 60 |
Asian | 3 | 4 |
Hispanic | 5 | 27 |
Two or More Races | 4 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort mill vs Penngrove
- A higher percentage of Black residents are in Fort mill at 9% compared to 0% in Penngrove.
- Fort mill has a higher percentage of White residents at 79% compared to 60% in Penngrove.
- In Penngrove, the Asian population stands at 4%, greater than 3% in Fort mill.
- Penngrove has a higher percentage of Hispanic residents at 27%, compared to 5% in Fort mill.
- The percentage of residents identifying as two or more races is higher in Penngrove at 9%, compared to 4% in Fort mill.
- The percentage of American Indian residents is the same in both Fort mill and Penngrove at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort mill | Penngrove |
---|---|---|
Mental Health Not Good | 15.4% | 16.6% |
Physical Health Not Good | 9.4% | 10.5% |
Depression | 21.1% | 21.9% |
Smoking | 12.3% | 12.5% |
Binge Drinking | 18.3% | 20.4% |
Obesity | 31.6% | 28.8% |
Disability Percentage | 5.0% | 18.0% |
Health Statistics Comparison: Fort mill vs Penngrove
- In Penngrove, a higher percentage report poor mental health at 16.6% compared to 15.4% in Fort mill.
- Higher depression rates are seen in Penngrove at 21.9% versus 21.1% in Fort mill.
- Penngrove has a higher smoking rate at 12.5% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Penngrove at 20.4% compared to 18.3% in Fort mill.
- Obesity rates are higher in Fort mill at 31.6% compared to 28.8% in Penngrove.
- There is a higher percentage of disabled individuals in Penngrove at 18.0% 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 | Penngrove |
---|---|---|
No Schooling | 0.3% (78) | 1.0% (21) |
High School Diploma | 7.7% (2,372) | 7.3% (160) |
Less than High School | 2.8% (879) | 7.4% (162) |
Bachelor's Degree and Higher | 30.0% (9,271) | 35.2% (769) |
Education Levels Comparison: Fort mill vs Penngrove
- In Penngrove, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Fort mill.
- A higher percentage of residents in Fort mill hold a high school diploma at 7.7% compared to 7.3% in Penngrove.
- The percentage of residents with less than a high school education is higher in Penngrove at 7.4%, compared to 2.8% in Fort mill.
- In Penngrove, a larger share of residents have a bachelor's degree or higher at 35.2% compared to 30.0% in Fort mill.
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.