Demographics details for Pahrump, NV vs Simpsonville, SC
Population Overview
Compare main population characteristics in Pahrump, NV vs Simpsonville, SC.
Data | Pahrump | Simpsonville |
---|---|---|
Population | 44,711 | 26,748 |
Median Age | 53.7 years | 37.8 years |
Median Income | $54,988 | $79,937 |
Married Families | 45.0% | 38.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 5.1 | 3.9 |
Population Comparison: Pahrump vs Simpsonville
- In Pahrump, the population is higher at 44,711, compared to 26,748 in Simpsonville.
- Residents in Pahrump have a higher median age of 53.7 years compared to 37.8 years in Simpsonville.
- Simpsonville has a higher median income of $79,937, compared to $54,988 in Pahrump.
- A higher percentage of married families is found in Pahrump at 45.0% compared to 38.0% in Simpsonville.
- Pahrump has a higher poverty level at 10% compared to 7% in Simpsonville.
- The unemployment rate in Pahrump is higher at 5.1%, compared to 3.9% in Simpsonville.
Demographics
Demographics Pahrump vs Simpsonville provide insight into the diversity of the communities to compare.
Demographic | Pahrump | Simpsonville |
---|---|---|
Black | 2 | 21 |
White | 69 | 66 |
Asian | 2 | 1 |
Hispanic | 16 | 7 |
Two or More Races | 10 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pahrump vs Simpsonville
- In Simpsonville, the percentage of Black residents is higher at 21% compared to 2% in Pahrump.
- Pahrump has a higher percentage of White residents at 69% compared to 66% in Simpsonville.
- The Asian population is larger in Pahrump at 2% compared to 1% in Simpsonville.
- The Hispanic community is larger in Pahrump at 16% compared to 7% in Simpsonville.
- More residents identify as two or more races in Pahrump at 10% compared to 5% in Simpsonville.
- A greater percentage of American Indian residents live in Pahrump at 1% compared to 0% in Simpsonville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pahrump | Simpsonville |
---|---|---|
Mental Health Not Good | 20.8% | 15.2% |
Physical Health Not Good | 14.6% | 9.6% |
Depression | 24.4% | 19.9% |
Smoking | 23.0% | 13.5% |
Binge Drinking | 15.9% | 17.8% |
Obesity | 38.5% | 31.9% |
Disability Percentage | 23.0% | 9.0% |
Health Statistics Comparison: Pahrump vs Simpsonville
- More residents in Pahrump report poor mental health at 20.8% compared to 15.2% in Simpsonville.
- Depression is more prevalent in Pahrump at 24.4% compared to 19.9% in Simpsonville.
- Smoking is more prevalent in Pahrump at 23.0% compared to 13.5% in Simpsonville.
- More residents engage in binge drinking in Simpsonville at 17.8% compared to 15.9% in Pahrump.
- Obesity rates are higher in Pahrump at 38.5% compared to 31.9% in Simpsonville.
- Disability percentages are higher in Pahrump at 23.0% compared to 9.0% in Simpsonville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pahrump | Simpsonville |
---|---|---|
No Schooling | 1.1% (507) | 0.8% (225) |
High School Diploma | 23.0% (10,287) | 14.4% (3,847) |
Less than High School | 20.5% (9,157) | 6.1% (1,645) |
Bachelor's Degree and Higher | 10.1% (4,495) | 21.5% (5,741) |
Education Levels Comparison: Pahrump vs Simpsonville
- A higher percentage of residents in Pahrump have no formal schooling at 1.1% compared to 0.8% in Simpsonville.
- A higher percentage of residents in Pahrump hold a high school diploma at 23.0% compared to 14.4% in Simpsonville.
- More residents in Pahrump have less than a high school education at 20.5% compared to 6.1% in Simpsonville.
- In Simpsonville, a larger share of residents have a bachelor's degree or higher at 21.5% compared to 10.1% in Pahrump.
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.