Demographics details for Lakewood, NJ vs Klickitat, WA
Population Overview
Compare main population characteristics in Lakewood, NJ vs Klickitat, WA.
| Data | Lakewood | Klickitat |
|---|---|---|
| Population | 68,555 | 23,271 |
| Median Age | 17.5 years | 47.0 years |
| Median Income | $54,826 | $66,581 |
| Married Families | 33.0% | 45.0% |
| Poverty Level | 6% | 8% |
| Unemployment Rate | 3.7 | 4.7 |
Population Comparison: Lakewood vs Klickitat
- In Lakewood, the population is higher at 68,555, compared to 23,271 in Klickitat.
- The median age in Klickitat is higher at 47.0 years, compared to 17.5 years in Lakewood.
- Klickitat has a higher median income of $66,581, compared to $54,826 in Lakewood.
- In Klickitat, the percentage of married families is higher at 45.0%, compared to 33.0% in Lakewood.
- The poverty level is higher in Klickitat at 8%, compared to 6% in Lakewood.
- Klickitat has a higher unemployment rate at 4.7% compared to 3.7% in Lakewood.
Demographics
Demographics Lakewood vs Klickitat provide insight into the diversity of the communities to compare.
| Demographic | Lakewood | Klickitat |
|---|---|---|
| Black | 2 | 1 |
| White | 81 | 77 |
| Asian | 1 | 1 |
| Hispanic | 12 | 12 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lakewood vs Klickitat
- A higher percentage of Black residents are in Lakewood at 2% compared to 1% in Klickitat.
- Lakewood has a higher percentage of White residents at 81% compared to 77% in Klickitat.
- Both Lakewood and Klickitat have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Lakewood and Klickitat at 12%.
- The percentage of residents identifying as two or more races is higher in Klickitat at 8%, compared to 4% in Lakewood.
- In Klickitat, the percentage of American Indian residents is higher at 1%, compared to 0% in Lakewood.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lakewood | Klickitat |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.6% |
| Physical Health Not Good | 15.0% | 11.7% |
| Depression | 24.4% | 25.6% |
| Smoking | 19.6% | 15.5% |
| Binge Drinking | 14.9% | 18.7% |
| Obesity | 38.6% | 30.7% |
| Disability Percentage | 4.0% | 15.0% |
Health Statistics Comparison: Lakewood vs Klickitat
- More residents in Lakewood report poor mental health at 18.9% compared to 17.6% in Klickitat.
- Higher depression rates are seen in Klickitat at 25.6% versus 24.4% in Lakewood.
- Smoking is more prevalent in Lakewood at 19.6% compared to 15.5% in Klickitat.
- More residents engage in binge drinking in Klickitat at 18.7% compared to 14.9% in Lakewood.
- Obesity rates are higher in Lakewood at 38.6% compared to 30.7% in Klickitat.
- There is a higher percentage of disabled individuals in Klickitat at 15.0% 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 | Lakewood | Klickitat |
|---|---|---|
| No Schooling | 0.4% (258) | 1.0% (223) |
| High School Diploma | 9.9% (6,781) | 16.1% (3,753) |
| Less than High School | 7.5% (5,126) | 15.2% (3,532) |
| Bachelor's Degree and Higher | 12.1% (8,277) | 22.7% (5,271) |
Education Levels Comparison: Lakewood vs Klickitat
- In Klickitat, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Lakewood.
- In Klickitat, the rate of residents with high school diplomas is higher at 16.1% compared to 9.9% in Lakewood.
- The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 7.5% in Lakewood.
- In Klickitat, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 12.1% in Lakewood.
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.