Demographics details for Mount union, PA vs Laconia, NH
Population Overview
Compare main population characteristics in Mount union, PA vs Laconia, NH.
| Data | Mount union | Laconia |
|---|---|---|
| Population | 2,267 | 17,086 |
| Median Age | 34.8 years | 43.7 years |
| Median Income | $38,382 | $67,856 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 4.2 | 2.4 |
Population Comparison: Mount union vs Laconia
- The population in Laconia is higher at 17,086, compared to 2,267 in Mount union.
- The median age in Laconia is higher at 43.7 years, compared to 34.8 years in Mount union.
- Laconia has a higher median income of $67,856, compared to $38,382 in Mount union.
- In Laconia, the percentage of married families is higher at 37.0%, compared to 25.0% in Mount union.
- Mount union has a higher poverty level at 12% compared to 9% in Laconia.
- The unemployment rate in Mount union is higher at 4.2%, compared to 2.4% in Laconia.
Demographics
Demographics Mount union vs Laconia provide insight into the diversity of the communities to compare.
| Demographic | Mount union | Laconia |
|---|---|---|
| Black | 8 | 1 |
| White | 87 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount union vs Laconia
- A higher percentage of Black residents are in Mount union at 8% compared to 1% in Laconia.
- The percentage of White residents is higher in Laconia at 93% compared to 87% in Mount union.
- In Laconia, the Asian population stands at 1%, greater than 0% in Mount union.
- Laconia has a higher percentage of Hispanic residents at 3%, compared to 1% in Mount union.
- More residents identify as two or more races in Mount union at 4% compared to 2% in Laconia.
- The percentage of American Indian residents is the same in both Mount union and Laconia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount union | Laconia |
|---|---|---|
| Mental Health Not Good | 20.7% | 16.9% |
| Physical Health Not Good | 15.3% | 10.5% |
| Depression | 25.6% | 24.9% |
| Smoking | 26.4% | 17.2% |
| Binge Drinking | 16.4% | 16.6% |
| Obesity | 43.0% | 31.5% |
| Disability Percentage | 20.0% | 18.0% |
Health Statistics Comparison: Mount union vs Laconia
- More residents in Mount union report poor mental health at 20.7% compared to 16.9% in Laconia.
- Depression is more prevalent in Mount union at 25.6% compared to 24.9% in Laconia.
- Smoking is more prevalent in Mount union at 26.4% compared to 17.2% in Laconia.
- More residents engage in binge drinking in Laconia at 16.6% compared to 16.4% in Mount union.
- Obesity rates are higher in Mount union at 43.0% compared to 31.5% in Laconia.
- Disability percentages are higher in Mount union at 20.0% compared to 18.0% in Laconia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount union | Laconia |
|---|---|---|
| No Schooling | 1.9% (43) | 0.4% (61) |
| High School Diploma | 28.5% (646) | 18.9% (3,229) |
| Less than High School | 16.3% (370) | 12.6% (2,158) |
| Bachelor's Degree and Higher | 6.3% (142) | 19.7% (3,364) |
Education Levels Comparison: Mount union vs Laconia
- A higher percentage of residents in Mount union have no formal schooling at 1.9% compared to 0.4% in Laconia.
- A higher percentage of residents in Mount union hold a high school diploma at 28.5% compared to 18.9% in Laconia.
- More residents in Mount union have less than a high school education at 16.3% compared to 12.6% in Laconia.
- In Laconia, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 6.3% in Mount union.
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.