Demographics details for Sanford, NC vs Blue mounds, WI
Population Overview
Compare main population characteristics in Sanford, NC vs Blue mounds, WI.
| Data | Sanford | Blue mounds |
|---|---|---|
| Population | 31,224 | 924 |
| Median Age | 34.6 years | 37.0 years |
| Median Income | $52,951 | $71,094 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 13% | 8% |
| Unemployment Rate | 4.8 | 2.4 |
Population Comparison: Sanford vs Blue mounds
- In Sanford, the population is higher at 31,224, compared to 924 in Blue mounds.
- The median age in Blue mounds is higher at 37.0 years, compared to 34.6 years in Sanford.
- Blue mounds has a higher median income of $71,094, compared to $52,951 in Sanford.
- In Blue mounds, the percentage of married families is higher at 34.0%, compared to 32.0% in Sanford.
- Sanford has a higher poverty level at 13% compared to 8% in Blue mounds.
- The unemployment rate in Sanford is higher at 4.8%, compared to 2.4% in Blue mounds.
Demographics
Demographics Sanford vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Sanford | Blue mounds |
|---|---|---|
| Black | 25 | 1 |
| White | 34 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 29 | 1 |
| Two or More Races | 10 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanford vs Blue mounds
- A higher percentage of Black residents are in Sanford at 25% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 34% in Sanford.
- The Asian population is larger in Sanford at 2% compared to 0% in Blue mounds.
- The Hispanic community is larger in Sanford at 29% compared to 1% in Blue mounds.
- More residents identify as two or more races in Sanford at 10% compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Sanford and Blue mounds at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanford | Blue mounds |
|---|---|---|
| Mental Health Not Good | 17.4% | 13.4% |
| Physical Health Not Good | 13.2% | 7.8% |
| Depression | 23.2% | 24.2% |
| Smoking | 18.8% | 11.9% |
| Binge Drinking | 15.3% | 25.4% |
| Obesity | 41.1% | 27.3% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Sanford vs Blue mounds
- More residents in Sanford report poor mental health at 17.4% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Blue mounds at 24.2% versus 23.2% in Sanford.
- Smoking is more prevalent in Sanford at 18.8% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 15.3% in Sanford.
- Obesity rates are higher in Sanford at 41.1% compared to 27.3% in Blue mounds.
- Disability percentages are higher in Sanford at 14.0% compared to 11.0% in Blue mounds.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanford | Blue mounds |
|---|---|---|
| No Schooling | 1.4% (443) | 0.0% (Data is updating) |
| High School Diploma | 12.5% (3,909) | 15.3% (141) |
| Less than High School | 22.6% (7,052) | 9.0% (83) |
| Bachelor's Degree and Higher | 12.9% (4,025) | 19.7% (182) |
Education Levels Comparison: Sanford vs Blue mounds
- A higher percentage of residents in Sanford have no formal schooling at 1.4% compared to 0.0% in Blue mounds.
- In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 12.5% in Sanford.
- More residents in Sanford have less than a high school education at 22.6% compared to 9.0% in Blue mounds.
- In Blue mounds, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 12.9% in Sanford.
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.