Demographics details for Lakewood, WA vs Florence, OR
Population Overview
Compare main population characteristics in Lakewood, WA vs Florence, OR.
Data | Lakewood | Florence |
---|---|---|
Population | 62,572 | 9,376 |
Median Age | 36.2 years | 57.7 years |
Median Income | $65,531 | $57,568 |
Married Families | 36.0% | 42.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 5.5 | 4.5 |
Population Comparison: Lakewood vs Florence
- In Lakewood, the population is higher at 62,572, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 36.2 years in Lakewood.
- Lakewood has a higher median income of $65,531 compared to $57,568 in Florence.
- In Florence, the percentage of married families is higher at 42.0%, compared to 36.0% in Lakewood.
- The poverty level is higher in Florence at 10%, compared to 8% in Lakewood.
- The unemployment rate in Lakewood is higher at 5.5%, compared to 4.5% in Florence.
Demographics
Demographics Lakewood vs Florence provide insight into the diversity of the communities to compare.
Demographic | Lakewood | Florence |
---|---|---|
Black | 14 | 2 |
White | 43 | 87 |
Asian | 9 | 2 |
Hispanic | 18 | 5 |
Two or More Races | 15 | 3 |
American Indian | 1 | 1 |
Demographics Comparison: Lakewood vs Florence
- A higher percentage of Black residents are in Lakewood at 14% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 43% in Lakewood.
- The Asian population is larger in Lakewood at 9% compared to 2% in Florence.
- The Hispanic community is larger in Lakewood at 18% compared to 5% in Florence.
- More residents identify as two or more races in Lakewood at 15% compared to 3% in Florence.
- The percentage of American Indian residents is the same in both Lakewood and Florence at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lakewood | Florence |
---|---|---|
Mental Health Not Good | 19.6% | 19.8% |
Physical Health Not Good | 12.6% | 13.1% |
Depression | 26.2% | 29.2% |
Smoking | 16.8% | 16.7% |
Binge Drinking | 15.7% | 17.0% |
Obesity | 36.0% | 36.0% |
Disability Percentage | 17.0% | 25.0% |
Health Statistics Comparison: Lakewood vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 19.6% in Lakewood.
- Higher depression rates are seen in Florence at 29.2% versus 26.2% in Lakewood.
- Smoking is more prevalent in Lakewood at 16.8% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 15.7% in Lakewood.
- Both cities have the same obesity rates at 36.0%.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 17.0% in Lakewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lakewood | Florence |
---|---|---|
No Schooling | 1.1% (686) | 0.4% (35) |
High School Diploma | 14.8% (9,285) | 14.2% (1,331) |
Less than High School | 14.4% (9,015) | 15.6% (1,467) |
Bachelor's Degree and Higher | 16.5% (10,340) | 19.9% (1,865) |
Education Levels Comparison: Lakewood vs Florence
- A higher percentage of residents in Lakewood have no formal schooling at 1.1% compared to 0.4% in Florence.
- A higher percentage of residents in Lakewood hold a high school diploma at 14.8% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 14.4% in Lakewood.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 16.5% 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.