Demographics details for Piqua, OH vs Lakewood, NJ
Population Overview
Compare main population characteristics in Piqua, OH vs Lakewood, NJ.
| Data | Piqua | Lakewood |
|---|---|---|
| Population | 20,607 | 68,555 |
| Median Age | 37.9 years | 17.5 years |
| Median Income | $55,379 | $54,826 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Piqua vs Lakewood
- The population in Lakewood is higher at 68,555, compared to 20,607 in Piqua.
- Residents in Piqua have a higher median age of 37.9 years compared to 17.5 years in Lakewood.
- Piqua has a higher median income of $55,379 compared to $54,826 in Lakewood.
- A higher percentage of married families is found in Piqua at 35.0% compared to 33.0% in Lakewood.
- Piqua has a higher poverty level at 10% compared to 6% in Lakewood.
- The unemployment rate in Piqua is higher at 4.5%, compared to 3.7% in Lakewood.
Demographics
Demographics Piqua vs Lakewood provide insight into the diversity of the communities to compare.
| Demographic | Piqua | Lakewood |
|---|---|---|
| Black | 2 | 2 |
| White | 92 | 81 |
| Asian | 1 | 1 |
| Hispanic | 1 | 12 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Piqua vs Lakewood
- The percentage of Black residents is the same in both Piqua and Lakewood at 2%.
- Piqua has a higher percentage of White residents at 92% compared to 81% in Lakewood.
- Both Piqua and Lakewood have the same percentage of Asian residents at 1%.
- Lakewood has a higher percentage of Hispanic residents at 12%, compared to 1% in Piqua.
- Both Piqua and Lakewood have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Piqua and Lakewood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | Lakewood |
|---|---|---|
| Mental Health Not Good | 18.8% | 18.9% |
| Physical Health Not Good | 13.1% | 15.0% |
| Depression | 23.9% | 24.4% |
| Smoking | 23.2% | 19.6% |
| Binge Drinking | 17.2% | 14.9% |
| Obesity | 42.0% | 38.6% |
| Disability Percentage | 14.0% | 4.0% |
Health Statistics Comparison: Piqua vs Lakewood
- In Lakewood, a higher percentage report poor mental health at 18.9% compared to 18.8% in Piqua.
- Higher depression rates are seen in Lakewood at 24.4% versus 23.9% in Piqua.
- Smoking is more prevalent in Piqua at 23.2% compared to 19.6% in Lakewood.
- Binge drinking is more common in Piqua at 17.2% compared to 14.9% in Lakewood.
- Obesity rates are higher in Piqua at 42.0% compared to 38.6% in Lakewood.
- Disability percentages are higher in Piqua at 14.0% compared to 4.0% in Lakewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piqua | Lakewood |
|---|---|---|
| No Schooling | 0.5% (109) | 0.4% (258) |
| High School Diploma | 24.5% (5,047) | 9.9% (6,781) |
| Less than High School | 13.5% (2,775) | 7.5% (5,126) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 12.1% (8,277) |
Education Levels Comparison: Piqua vs Lakewood
- A higher percentage of residents in Piqua have no formal schooling at 0.5% compared to 0.4% in Lakewood.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 9.9% in Lakewood.
- More residents in Piqua have less than a high school education at 13.5% compared to 7.5% in Lakewood.
- In Lakewood, a larger share of residents have a bachelor's degree or higher at 12.1% compared to 8.9% in Piqua.
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.