Demographics details for Nampa, ID vs Jefferson city, MO
Population Overview
Compare main population characteristics in Nampa, ID vs Jefferson city, MO.
| Data | Nampa | Jefferson city |
|---|---|---|
| Population | 110,951 | 42,528 |
| Median Age | 33.5 years | 38.5 years |
| Median Income | $67,346 | $63,649 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 4.2 | 3.9 |
Population Comparison: Nampa vs Jefferson city
- In Nampa, the population is higher at 110,951, compared to 42,528 in Jefferson city.
- The median age in Jefferson city is higher at 38.5 years, compared to 33.5 years in Nampa.
- Nampa has a higher median income of $67,346 compared to $63,649 in Jefferson city.
- The percentage of married families is the same in both Nampa and Jefferson city at 37.0%.
- The poverty level is higher in Jefferson city at 11%, compared to 10% in Nampa.
- The unemployment rate in Nampa is higher at 4.2%, compared to 3.9% in Jefferson city.
Demographics
Demographics Nampa vs Jefferson city provide insight into the diversity of the communities to compare.
| Demographic | Nampa | Jefferson city |
|---|---|---|
| Black | 1 | 18 |
| White | 65 | 72 |
| Asian | 1 | 3 |
| Hispanic | 23 | 3 |
| Two or More Races | 9 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Nampa vs Jefferson city
- In Jefferson city, the percentage of Black residents is higher at 18% compared to 1% in Nampa.
- The percentage of White residents is higher in Jefferson city at 72% compared to 65% in Nampa.
- In Jefferson city, the Asian population stands at 3%, greater than 1% in Nampa.
- The Hispanic community is larger in Nampa at 23% compared to 3% in Jefferson city.
- More residents identify as two or more races in Nampa at 9% compared to 4% in Jefferson city.
- A greater percentage of American Indian residents live in Nampa at 1% compared to 0% in Jefferson city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nampa | Jefferson city |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.1% |
| Physical Health Not Good | 12.2% | 11.6% |
| Depression | 24.0% | 22.6% |
| Smoking | 17.6% | 18.6% |
| Binge Drinking | 15.2% | 16.9% |
| Obesity | 36.7% | 37.4% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Nampa vs Jefferson city
- In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 16.8% in Nampa.
- Depression is more prevalent in Nampa at 24.0% compared to 22.6% in Jefferson city.
- Jefferson city has a higher smoking rate at 18.6% compared to 17.6% in Nampa.
- More residents engage in binge drinking in Jefferson city at 16.9% compared to 15.2% in Nampa.
- Jefferson city has higher obesity rates at 37.4% compared to 36.7% in Nampa.
- Disability percentages are higher in Nampa at 14.0% compared to 11.0% in Jefferson city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nampa | Jefferson city |
|---|---|---|
| No Schooling | 0.9% (1,011) | 0.5% (233) |
| High School Diploma | 14.8% (16,423) | 15.9% (6,767) |
| Less than High School | 14.3% (15,852) | 11.0% (4,659) |
| Bachelor's Degree and Higher | 12.6% (13,951) | 24.8% (10,543) |
Education Levels Comparison: Nampa vs Jefferson city
- A higher percentage of residents in Nampa have no formal schooling at 0.9% compared to 0.5% in Jefferson city.
- In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 14.8% in Nampa.
- More residents in Nampa have less than a high school education at 14.3% compared to 11.0% in Jefferson city.
- In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% 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.