Demographics details for Fort mill, SC vs Beaver dam, WI
Population Overview
Compare main population characteristics in Fort mill, SC vs Beaver dam, WI.
| Data | Fort mill | Beaver dam |
|---|---|---|
| Population | 30,940 | 16,582 |
| Median Age | 36.7 years | 40.4 years |
| Median Income | $128,125 | $65,802 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 4.1 | 3.1 |
Population Comparison: Fort mill vs Beaver dam
- In Fort mill, the population is higher at 30,940, compared to 16,582 in Beaver dam.
- The median age in Beaver dam is higher at 40.4 years, compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125 compared to $65,802 in Beaver dam.
- A higher percentage of married families is found in Fort mill at 37.0% compared to 35.0% in Beaver dam.
- Fort mill has a higher poverty level at 5% compared to 0% in Beaver dam.
- The unemployment rate in Fort mill is higher at 4.1%, compared to 3.1% in Beaver dam.
Demographics
Demographics Fort mill vs Beaver dam provide insight into the diversity of the communities to compare.
| Demographic | Fort mill | Beaver dam |
|---|---|---|
| Black | 9 | 3 |
| White | 79 | 81 |
| Asian | 3 | 2 |
| Hispanic | 5 | 8 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort mill vs Beaver dam
- A higher percentage of Black residents are in Fort mill at 9% compared to 3% in Beaver dam.
- The percentage of White residents is higher in Beaver dam at 81% compared to 79% in Fort mill.
- The Asian population is larger in Fort mill at 3% compared to 2% in Beaver dam.
- Beaver dam has a higher percentage of Hispanic residents at 8%, compared to 5% in Fort mill.
- The percentage of residents identifying as two or more races is higher in Beaver dam at 6%, compared to 4% in Fort mill.
- The percentage of American Indian residents is the same in both Fort mill and Beaver dam at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort mill | Beaver dam |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.7% |
| Physical Health Not Good | 9.4% | 10.6% |
| Depression | 21.1% | 23.6% |
| Smoking | 12.3% | 17.6% |
| Binge Drinking | 18.3% | 23.5% |
| Obesity | 31.6% | 36.6% |
| Disability Percentage | 5.0% | 11.0% |
Health Statistics Comparison: Fort mill vs Beaver dam
- In Beaver dam, a higher percentage report poor mental health at 15.7% compared to 15.4% in Fort mill.
- Higher depression rates are seen in Beaver dam at 23.6% versus 21.1% in Fort mill.
- Beaver dam has a higher smoking rate at 17.6% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Beaver dam at 23.5% compared to 18.3% in Fort mill.
- Beaver dam has higher obesity rates at 36.6% compared to 31.6% in Fort mill.
- There is a higher percentage of disabled individuals in Beaver dam at 11.0% 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 | Beaver dam |
|---|---|---|
| No Schooling | 0.3% (78) | 0.3% (47) |
| High School Diploma | 7.7% (2,372) | 23.8% (3,947) |
| Less than High School | 2.8% (879) | 10.3% (1,706) |
| Bachelor's Degree and Higher | 30.0% (9,271) | 18.2% (3,023) |
Education Levels Comparison: Fort mill vs Beaver dam
- The percentage of residents with no formal schooling is the same in both Fort mill and Beaver dam at 0.3%.
- In Beaver dam, the rate of residents with high school diplomas is higher at 23.8% compared to 7.7% in Fort mill.
- The percentage of residents with less than a high school education is higher in Beaver dam at 10.3%, 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 18.2% in Beaver dam.
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.