Demographics details for Columbus, MS vs Lakewood, WA
Population Overview
Compare main population characteristics in Columbus, MS vs Lakewood, WA.
| Data | Columbus | Lakewood |
|---|---|---|
| Population | 23,273 | 62,572 |
| Median Age | 38.5 years | 36.2 years |
| Median Income | $38,954 | $65,531 |
| Married Families | 25.0% | 36.0% |
| Poverty Level | 19% | 8% |
| Unemployment Rate | 3.8 | 5.5 |
Population Comparison: Columbus vs Lakewood
- The population in Lakewood is higher at 62,572, compared to 23,273 in Columbus.
- Residents in Columbus have a higher median age of 38.5 years compared to 36.2 years in Lakewood.
- Lakewood has a higher median income of $65,531, compared to $38,954 in Columbus.
- In Lakewood, the percentage of married families is higher at 36.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 8% in Lakewood.
- Lakewood has a higher unemployment rate at 5.5% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Lakewood provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Lakewood |
|---|---|---|
| Black | 66 | 14 |
| White | 28 | 43 |
| Asian | 2 | 9 |
| Hispanic | 2 | 18 |
| Two or More Races | 2 | 15 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbus vs Lakewood
- A higher percentage of Black residents are in Columbus at 66% compared to 14% in Lakewood.
- The percentage of White residents is higher in Lakewood at 43% compared to 28% in Columbus.
- In Lakewood, the Asian population stands at 9%, greater than 2% in Columbus.
- Lakewood has a higher percentage of Hispanic residents at 18%, compared to 2% in Columbus.
- The percentage of residents identifying as two or more races is higher in Lakewood at 15%, compared to 2% in Columbus.
- In Lakewood, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Lakewood |
|---|---|---|
| Mental Health Not Good | 17.4% | 19.6% |
| Physical Health Not Good | 13.6% | 12.6% |
| Depression | 20.0% | 26.2% |
| Smoking | 21.0% | 16.8% |
| Binge Drinking | 11.8% | 15.7% |
| Obesity | 44.8% | 36.0% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Columbus vs Lakewood
- In Lakewood, a higher percentage report poor mental health at 19.6% compared to 17.4% in Columbus.
- Higher depression rates are seen in Lakewood at 26.2% versus 20.0% in Columbus.
- Smoking is more prevalent in Columbus at 21.0% compared to 16.8% in Lakewood.
- More residents engage in binge drinking in Lakewood at 15.7% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 36.0% in Lakewood.
- There is a higher percentage of disabled individuals in Lakewood at 17.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Lakewood |
|---|---|---|
| No Schooling | 1.1% (260) | 1.1% (686) |
| High School Diploma | 18.4% (4,272) | 14.8% (9,285) |
| Less than High School | 11.0% (2,559) | 14.4% (9,015) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 16.5% (10,340) |
Education Levels Comparison: Columbus vs Lakewood
- The percentage of residents with no formal schooling is the same in both Columbus and Lakewood at 1.1%.
- A higher percentage of residents in Columbus hold a high school diploma at 18.4% compared to 14.8% in Lakewood.
- The percentage of residents with less than a high school education is higher in Lakewood at 14.4%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% 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.