Demographics details for Nashua, NH vs Fort smith, AR
Population Overview
Compare main population characteristics in Nashua, NH vs Fort smith, AR.
| Data | Nashua | Fort smith |
|---|---|---|
| Population | 91,161 | 89,992 |
| Median Age | 40.1 years | 36.4 years |
| Median Income | $88,766 | $50,799 |
| Married Families | 38.0% | 36.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 2.9 | 3.7 |
Population Comparison: Nashua vs Fort smith
- In Nashua, the population is higher at 91,161, compared to 89,992 in Fort smith.
- Residents in Nashua have a higher median age of 40.1 years compared to 36.4 years in Fort smith.
- Nashua has a higher median income of $88,766 compared to $50,799 in Fort smith.
- A higher percentage of married families is found in Nashua at 38.0% compared to 36.0% in Fort smith.
- The poverty level is higher in Fort smith at 12%, compared to 7% in Nashua.
- Fort smith has a higher unemployment rate at 3.7% compared to 2.9% in Nashua.
Demographics
Demographics Nashua vs Fort smith provide insight into the diversity of the communities to compare.
| Demographic | Nashua | Fort smith |
|---|---|---|
| Black | 3 | 8 |
| White | 67 | 57 |
| Asian | 8 | 6 |
| Hispanic | 13 | 19 |
| Two or More Races | 9 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Nashua vs Fort smith
- In Fort smith, the percentage of Black residents is higher at 8% compared to 3% in Nashua.
- Nashua has a higher percentage of White residents at 67% compared to 57% in Fort smith.
- The Asian population is larger in Nashua at 8% compared to 6% in Fort smith.
- Fort smith has a higher percentage of Hispanic residents at 19%, compared to 13% in Nashua.
- Both Nashua and Fort smith have the same percentage of residents identifying as two or more races at 9%.
- In Fort smith, the percentage of American Indian residents is higher at 1%, compared to 0% in Nashua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nashua | Fort smith |
|---|---|---|
| Mental Health Not Good | 15.1% | 19.6% |
| Physical Health Not Good | 9.3% | 14.7% |
| Depression | 23.2% | 27.8% |
| Smoking | 14.7% | 21.8% |
| Binge Drinking | 14.9% | 13.2% |
| Obesity | 33.8% | 39.5% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Nashua vs Fort smith
- In Fort smith, a higher percentage report poor mental health at 19.6% compared to 15.1% in Nashua.
- Higher depression rates are seen in Fort smith at 27.8% versus 23.2% in Nashua.
- Fort smith has a higher smoking rate at 21.8% compared to 14.7% in Nashua.
- Binge drinking is more common in Nashua at 14.9% compared to 13.2% in Fort smith.
- Fort smith has higher obesity rates at 39.5% compared to 33.8% in Nashua.
- There is a higher percentage of disabled individuals in Fort smith at 20.0% compared to 13.0% in Nashua.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nashua | Fort smith |
|---|---|---|
| No Schooling | 0.7% (611) | 2.3% (2,029) |
| High School Diploma | 14.9% (13,556) | 14.8% (13,356) |
| Less than High School | 10.7% (9,760) | 19.8% (17,822) |
| Bachelor's Degree and Higher | 29.4% (26,830) | 16.4% (14,745) |
Education Levels Comparison: Nashua vs Fort smith
- In Fort smith, a larger percentage of residents lack formal schooling at 2.3% compared to 0.7% in Nashua.
- A higher percentage of residents in Nashua hold a high school diploma at 14.9% compared to 14.8% in Fort smith.
- The percentage of residents with less than a high school education is higher in Fort smith at 19.8%, compared to 10.7% in Nashua.
- A higher percentage of residents in Nashua hold a bachelor's degree or higher at 29.4% compared to 16.4% in Fort smith.
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.