Demographics details for Lakewood, WA vs Rising city, NE
Population Overview
Compare main population characteristics in Lakewood, WA vs Rising city, NE.
Data | Lakewood | Rising city |
---|---|---|
Population | 62,572 | 354 |
Median Age | 36.2 years | 44.3 years |
Median Income | $65,531 | $81,477 |
Married Families | 36.0% | 45.0% |
Poverty Level | 8% | 9% |
Unemployment Rate | 5.5 | 2.7 |
Population Comparison: Lakewood vs Rising city
- In Lakewood, the population is higher at 62,572, compared to 354 in Rising city.
- The median age in Rising city is higher at 44.3 years, compared to 36.2 years in Lakewood.
- Rising city has a higher median income of $81,477, compared to $65,531 in Lakewood.
- In Rising city, the percentage of married families is higher at 45.0%, compared to 36.0% in Lakewood.
- The poverty level is higher in Rising city at 9%, compared to 8% in Lakewood.
- The unemployment rate in Lakewood is higher at 5.5%, compared to 2.7% in Rising city.
Demographics
Demographics Lakewood vs Rising city provide insight into the diversity of the communities to compare.
Demographic | Lakewood | Rising city |
---|---|---|
Black | 14 | Data is updating |
White | 43 | 98 |
Asian | 9 | Data is updating |
Hispanic | 18 | 2 |
Two or More Races | 15 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Lakewood vs Rising city
- A higher percentage of Black residents are in Lakewood at 14% compared to 0% in Rising city.
- The percentage of White residents is higher in Rising city at 98% compared to 43% in Lakewood.
- The Asian population is larger in Lakewood at 9% compared to 0% in Rising city.
- The Hispanic community is larger in Lakewood at 18% compared to 2% in Rising city.
- More residents identify as two or more races in Lakewood at 15% compared to 0% in Rising city.
- A greater percentage of American Indian residents live in Lakewood at 1% compared to 0% in Rising city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lakewood | Rising city |
---|---|---|
Mental Health Not Good | 19.6% | 13.5% |
Physical Health Not Good | 12.6% | 9.2% |
Depression | 26.2% | 16.0% |
Smoking | 16.8% | 16.3% |
Binge Drinking | 15.7% | 23.1% |
Obesity | 36.0% | 40.3% |
Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Lakewood vs Rising city
- More residents in Lakewood report poor mental health at 19.6% compared to 13.5% in Rising city.
- Depression is more prevalent in Lakewood at 26.2% compared to 16.0% in Rising city.
- Smoking is more prevalent in Lakewood at 16.8% compared to 16.3% in Rising city.
- More residents engage in binge drinking in Rising city at 23.1% compared to 15.7% in Lakewood.
- Rising city has higher obesity rates at 40.3% compared to 36.0% in Lakewood.
- Disability percentages are higher in Lakewood at 17.0% compared to 13.0% in Rising city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lakewood | Rising city |
---|---|---|
No Schooling | 1.1% (686) | 0.0% (Data is updating) |
High School Diploma | 14.8% (9,285) | 19.8% (70) |
Less than High School | 14.4% (9,015) | 9.6% (34) |
Bachelor's Degree and Higher | 16.5% (10,340) | 7.6% (27) |
Education Levels Comparison: Lakewood vs Rising city
- A higher percentage of residents in Lakewood have no formal schooling at 1.1% compared to 0.0% in Rising city.
- In Rising city, the rate of residents with high school diplomas is higher at 19.8% compared to 14.8% in Lakewood.
- More residents in Lakewood have less than a high school education at 14.4% compared to 9.6% in Rising city.
- A higher percentage of residents in Lakewood hold a bachelor's degree or higher at 16.5% compared to 7.6% in Rising city.
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.