Demographics details for Indian head, MD vs Sanford, NC
Population Overview
Compare main population characteristics in Indian head, MD vs Sanford, NC.
Data | Indian head | Sanford |
---|---|---|
Population | 4,025 | 31,224 |
Median Age | 37.5 years | 34.6 years |
Median Income | $77,948 | $52,951 |
Married Families | 24.0% | 32.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Indian head vs Sanford
- The population in Sanford is higher at 31,224, compared to 4,025 in Indian head.
- Residents in Indian head have a higher median age of 37.5 years compared to 34.6 years in Sanford.
- Indian head has a higher median income of $77,948 compared to $52,951 in Sanford.
- In Sanford, the percentage of married families is higher at 32.0%, compared to 24.0% in Indian head.
- The poverty level is higher in Sanford at 13%, compared to 9% in Indian head.
- Sanford has a higher unemployment rate at 4.8% compared to 3.5% in Indian head.
Demographics
Demographics Indian head vs Sanford provide insight into the diversity of the communities to compare.
Demographic | Indian head | Sanford |
---|---|---|
Black | 62 | 25 |
White | 26 | 34 |
Asian | 3 | 2 |
Hispanic | 5 | 29 |
Two or More Races | 3 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Indian head vs Sanford
- A higher percentage of Black residents are in Indian head at 62% compared to 25% in Sanford.
- The percentage of White residents is higher in Sanford at 34% compared to 26% in Indian head.
- The Asian population is larger in Indian head at 3% compared to 2% in Sanford.
- Sanford has a higher percentage of Hispanic residents at 29%, compared to 5% in Indian head.
- The percentage of residents identifying as two or more races is higher in Sanford at 10%, compared to 3% in Indian head.
- A greater percentage of American Indian residents live in Indian head at 1% compared to 0% in Sanford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Indian head | Sanford |
---|---|---|
Mental Health Not Good | 15.9% | 17.4% |
Physical Health Not Good | 10.9% | 13.2% |
Depression | 17.0% | 23.2% |
Smoking | 16.4% | 18.8% |
Binge Drinking | 15.1% | 15.3% |
Obesity | 44.5% | 41.1% |
Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Indian head vs Sanford
- In Sanford, a higher percentage report poor mental health at 17.4% compared to 15.9% in Indian head.
- Higher depression rates are seen in Sanford at 23.2% versus 17.0% in Indian head.
- Sanford has a higher smoking rate at 18.8% compared to 16.4% in Indian head.
- More residents engage in binge drinking in Sanford at 15.3% compared to 15.1% in Indian head.
- Obesity rates are higher in Indian head at 44.5% compared to 41.1% in Sanford.
- Disability percentages are the same in both Indian head and Sanford at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Indian head | Sanford |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.4% (443) |
High School Diploma | 27.9% (1,123) | 12.5% (3,909) |
Less than High School | 4.5% (183) | 22.6% (7,052) |
Bachelor's Degree and Higher | 10.9% (437) | 12.9% (4,025) |
Education Levels Comparison: Indian head vs Sanford
- In Sanford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Indian head.
- A higher percentage of residents in Indian head hold a high school diploma at 27.9% compared to 12.5% in Sanford.
- The percentage of residents with less than a high school education is higher in Sanford at 22.6%, compared to 4.5% in Indian head.
- In Sanford, a larger share of residents have a bachelor's degree or higher at 12.9% compared to 10.9% in Indian head.
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.