Demographics details for East berlin, PA vs Laconia, NH
Population Overview
Compare main population characteristics in East berlin, PA vs Laconia, NH.
| Data | East berlin | Laconia |
|---|---|---|
| Population | 1,554 | 17,086 |
| Median Age | 41.9 years | 43.7 years |
| Median Income | $68,628 | $67,856 |
| Married Families | 47.0% | 37.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.5 | 2.4 |
Population Comparison: East berlin vs Laconia
- The population in Laconia is higher at 17,086, compared to 1,554 in East berlin.
- The median age in Laconia is higher at 43.7 years, compared to 41.9 years in East berlin.
- East berlin has a higher median income of $68,628 compared to $67,856 in Laconia.
- A higher percentage of married families is found in East berlin at 47.0% compared to 37.0% in Laconia.
- The poverty level is higher in Laconia at 9%, compared to 5% in East berlin.
- The unemployment rate in East berlin is higher at 4.5%, compared to 2.4% in Laconia.
Demographics
Demographics East berlin vs Laconia provide insight into the diversity of the communities to compare.
| Demographic | East berlin | Laconia |
|---|---|---|
| Black | Data is updating | 1 |
| White | 92 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: East berlin vs Laconia
- In Laconia, the percentage of Black residents is higher at 1% compared to 0% in East berlin.
- The percentage of White residents is higher in Laconia at 93% compared to 92% in East berlin.
- In Laconia, the Asian population stands at 1%, greater than 0% in East berlin.
- The Hispanic community is larger in East berlin at 5% compared to 3% in Laconia.
- More residents identify as two or more races in East berlin at 3% compared to 2% in Laconia.
- The percentage of American Indian residents is the same in both East berlin and Laconia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | East berlin | Laconia |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.9% |
| Physical Health Not Good | 11.1% | 10.5% |
| Depression | 24.1% | 24.9% |
| Smoking | 18.8% | 17.2% |
| Binge Drinking | 19.2% | 16.6% |
| Obesity | 36.9% | 31.5% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: East berlin vs Laconia
- Poor mental health levels are equal in both East berlin and Laconia at 16.9%.
- Higher depression rates are seen in Laconia at 24.9% versus 24.1% in East berlin.
- Smoking is more prevalent in East berlin at 18.8% compared to 17.2% in Laconia.
- Binge drinking is more common in East berlin at 19.2% compared to 16.6% in Laconia.
- Obesity rates are higher in East berlin at 36.9% compared to 31.5% in Laconia.
- There is a higher percentage of disabled individuals in Laconia at 18.0% compared to 12.0% in East berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | East berlin | Laconia |
|---|---|---|
| No Schooling | 2.1% (32) | 0.4% (61) |
| High School Diploma | 26.2% (407) | 18.9% (3,229) |
| Less than High School | 16.5% (257) | 12.6% (2,158) |
| Bachelor's Degree and Higher | 17.5% (272) | 19.7% (3,364) |
Education Levels Comparison: East berlin vs Laconia
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.4% in Laconia.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 18.9% in Laconia.
- More residents in East berlin have less than a high school education at 16.5% 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 17.5% in East berlin.
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.