Demographics details for Hudson, NH vs Fort mill, SC
Population Overview
Compare main population characteristics in Hudson, NH vs Fort mill, SC.
| Data | Hudson | Fort mill |
|---|---|---|
| Population | 24,467 | 30,940 |
| Median Age | 39.0 years | 36.7 years |
| Median Income | $100,000 | $128,125 |
| Married Families | 63.5% | 37.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 2.9 | 4.1 |
Population Comparison: Hudson vs Fort mill
- The population in Fort mill is higher at 30,940, compared to 24,467 in Hudson.
- Residents in Hudson have a higher median age of 39.0 years compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125, compared to $100,000 in Hudson.
- A higher percentage of married families is found in Hudson at 63.5% compared to 37.0% in Fort mill.
- The poverty level is identical in both Hudson and Fort mill at 5%.
- Fort mill has a higher unemployment rate at 4.1% compared to 2.9% in Hudson.
Demographics
Demographics Hudson vs Fort mill provide insight into the diversity of the communities to compare.
| Demographic | Hudson | Fort mill |
|---|---|---|
| Black | 1.5 | 9 |
| White | 92 | 79 |
| Asian | 3 | 3 |
| Hispanic | 2.5 | 5 |
| Two or More Races | 1.5 | 4 |
| American Indian | 0.5 | Data is updating |
Demographics Comparison: Hudson vs Fort mill
- In Fort mill, the percentage of Black residents is higher at 9% compared to 1.5% in Hudson.
- Hudson has a higher percentage of White residents at 92% compared to 79% in Fort mill.
- Both Hudson and Fort mill have the same percentage of Asian residents at 3%.
- Fort mill has a higher percentage of Hispanic residents at 5%, compared to 2.5% in Hudson.
- The percentage of residents identifying as two or more races is higher in Fort mill at 4%, compared to 1.5% in Hudson.
- A greater percentage of American Indian residents live in Hudson at 0.5% compared to 0% in Fort mill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hudson | Fort mill |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.4% |
| Physical Health Not Good | Data is updating% | 9.4% |
| Depression | Data is updating% | 21.1% |
| Smoking | Data is updating% | 12.3% |
| Binge Drinking | Data is updating% | 18.3% |
| Obesity | Data is updating% | 31.6% |
| Disability Percentage | Data is updating% | 5.0% |
Health Statistics Comparison: Hudson vs Fort mill
- In Fort mill, a higher percentage report poor mental health at 15.4% compared to 0.0% in Hudson.
- Higher depression rates are seen in Fort mill at 21.1% versus 0.0% in Hudson.
- Fort mill has a higher smoking rate at 12.3% compared to 0.0% in Hudson.
- More residents engage in binge drinking in Fort mill at 18.3% compared to 0.0% in Hudson.
- Fort mill has higher obesity rates at 31.6% compared to 0.0% in Hudson.
- There is a higher percentage of disabled individuals in Fort mill at 5.0% compared to 0.0% in Hudson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hudson | Fort mill |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (78) |
| High School Diploma | 0.0% (Data is updating) | 7.7% (2,372) |
| Less than High School | 0.0% (Data is updating) | 2.8% (879) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 30.0% (9,271) |
Education Levels Comparison: Hudson vs Fort mill
- In Fort mill, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Hudson.
- In Fort mill, the rate of residents with high school diplomas is higher at 7.7% compared to 0.0% in Hudson.
- The percentage of residents with less than a high school education is higher in Fort mill at 2.8%, compared to 0.0% in Hudson.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% compared to 0.0% in Hudson.
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.