Demographics details for Nampa, ID vs Bethlehem, PA
Population Overview
Compare main population characteristics in Nampa, ID vs Bethlehem, PA.
Data | Nampa | Bethlehem |
---|---|---|
Population | 110,951 | 77,617 |
Median Age | 33.5 years | 35.9 years |
Median Income | $67,346 | $62,072 |
Married Families | 37.0% | 29.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Nampa vs Bethlehem
- In Nampa, the population is higher at 110,951, compared to 77,617 in Bethlehem.
- The median age in Bethlehem is higher at 35.9 years, compared to 33.5 years in Nampa.
- Nampa has a higher median income of $67,346 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Nampa at 37.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 10% in Nampa.
- The unemployment rate in Nampa is higher at 4.2%, compared to 3.5% in Bethlehem.
Demographics
Demographics Nampa vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Nampa | Bethlehem |
---|---|---|
Black | 1 | 9 |
White | 65 | 47 |
Asian | 1 | 3 |
Hispanic | 23 | 30 |
Two or More Races | 9 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Nampa vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 1% in Nampa.
- Nampa has a higher percentage of White residents at 65% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 1% in Nampa.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 23% in Nampa.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 9% in Nampa.
- A greater percentage of American Indian residents live in Nampa at 1% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Nampa | Bethlehem |
---|---|---|
Mental Health Not Good | 16.8% | 16.9% |
Physical Health Not Good | 12.2% | 12.1% |
Depression | 24.0% | 21.8% |
Smoking | 17.6% | 18.4% |
Binge Drinking | 15.2% | 17.6% |
Obesity | 36.7% | 34.7% |
Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Nampa vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 16.8% in Nampa.
- Depression is more prevalent in Nampa at 24.0% compared to 21.8% in Bethlehem.
- Bethlehem has a higher smoking rate at 18.4% compared to 17.6% in Nampa.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 15.2% in Nampa.
- Obesity rates are higher in Nampa at 36.7% compared to 34.7% in Bethlehem.
- Disability percentages are higher in Nampa at 14.0% compared to 13.0% in Bethlehem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Nampa | Bethlehem |
---|---|---|
No Schooling | 0.9% (1,011) | 0.6% (452) |
High School Diploma | 14.8% (16,423) | 16.9% (13,125) |
Less than High School | 14.3% (15,852) | 12.9% (10,045) |
Bachelor's Degree and Higher | 12.6% (13,951) | 22.0% (17,044) |
Education Levels Comparison: Nampa vs Bethlehem
- A higher percentage of residents in Nampa have no formal schooling at 0.9% compared to 0.6% in Bethlehem.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 14.8% in Nampa.
- More residents in Nampa have less than a high school education at 14.3% compared to 12.9% in Bethlehem.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 12.6% in Nampa.
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.