Demographics details for Harrison, AR vs Nampa, ID
Population Overview
Compare main population characteristics in Harrison, AR vs Nampa, ID.
Data | Harrison | Nampa |
---|---|---|
Population | 13,338 | 110,951 |
Median Age | 41.8 years | 33.5 years |
Median Income | $39,677 | $67,346 |
Married Families | 34.0% | 37.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Harrison vs Nampa
- The population in Nampa is higher at 110,951, compared to 13,338 in Harrison.
- Residents in Harrison have a higher median age of 41.8 years compared to 33.5 years in Nampa.
- Nampa has a higher median income of $67,346, compared to $39,677 in Harrison.
- In Nampa, the percentage of married families is higher at 37.0%, compared to 34.0% in Harrison.
- Harrison has a higher poverty level at 15% compared to 10% in Nampa.
- The unemployment rate in Harrison is higher at 4.5%, compared to 4.2% in Nampa.
Demographics
Demographics Harrison vs Nampa provide insight into the diversity of the communities to compare.
Demographic | Harrison | Nampa |
---|---|---|
Black | Data is updating | 1 |
White | 92 | 65 |
Asian | Data is updating | 1 |
Hispanic | 4 | 23 |
Two or More Races | 4 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Harrison vs Nampa
- In Nampa, the percentage of Black residents is higher at 1% compared to 0% in Harrison.
- Harrison has a higher percentage of White residents at 92% compared to 65% in Nampa.
- In Nampa, the Asian population stands at 1%, greater than 0% in Harrison.
- Nampa has a higher percentage of Hispanic residents at 23%, compared to 4% in Harrison.
- The percentage of residents identifying as two or more races is higher in Nampa at 9%, compared to 4% in Harrison.
- In Nampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Harrison.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Harrison | Nampa |
---|---|---|
Mental Health Not Good | 20.3% | 16.8% |
Physical Health Not Good | 15.1% | 12.2% |
Depression | 28.9% | 24.0% |
Smoking | 24.0% | 17.6% |
Binge Drinking | 14.8% | 15.2% |
Obesity | 40.7% | 36.7% |
Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Harrison vs Nampa
- More residents in Harrison report poor mental health at 20.3% compared to 16.8% in Nampa.
- Depression is more prevalent in Harrison at 28.9% compared to 24.0% in Nampa.
- Smoking is more prevalent in Harrison at 24.0% compared to 17.6% in Nampa.
- More residents engage in binge drinking in Nampa at 15.2% compared to 14.8% in Harrison.
- Obesity rates are higher in Harrison at 40.7% compared to 36.7% in Nampa.
- Disability percentages are higher in Harrison at 18.0% compared to 14.0% in Nampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Harrison | Nampa |
---|---|---|
No Schooling | 0.9% (115) | 0.9% (1,011) |
High School Diploma | 21.0% (2,807) | 14.8% (16,423) |
Less than High School | 12.5% (1,665) | 14.3% (15,852) |
Bachelor's Degree and Higher | 13.1% (1,751) | 12.6% (13,951) |
Education Levels Comparison: Harrison vs Nampa
- The percentage of residents with no formal schooling is the same in both Harrison and Nampa at 0.9%.
- A higher percentage of residents in Harrison hold a high school diploma at 21.0% compared to 14.8% in Nampa.
- The percentage of residents with less than a high school education is higher in Nampa at 14.3%, compared to 12.5% in Harrison.
- A higher percentage of residents in Harrison hold a bachelor's degree or higher at 13.1% 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.