Demographics details for Maple valley, WA vs Columbus, TX
Population Overview
Compare main population characteristics in Maple valley, WA vs Columbus, TX.
| Data | Maple valley | Columbus |
|---|---|---|
| Population | 28,220 | 3,714 |
| Median Age | 36.4 years | 47.0 years |
| Median Income | $137,595 | $56,250 |
| Married Families | 47.0% | 41.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 4.7 | 5.0 |
Population Comparison: Maple valley vs Columbus
- In Maple valley, the population is higher at 28,220, compared to 3,714 in Columbus.
- The median age in Columbus is higher at 47.0 years, compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595 compared to $56,250 in Columbus.
- A higher percentage of married families is found in Maple valley at 47.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 12%, compared to 0% in Maple valley.
- Columbus has a higher unemployment rate at 5.0% compared to 4.7% in Maple valley.
Demographics
Demographics Maple valley vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Maple valley | Columbus |
|---|---|---|
| Black | 2 | 16 |
| White | 74 | 58 |
| Asian | 11 | 1 |
| Hispanic | 5 | 20 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maple valley vs Columbus
- In Columbus, the percentage of Black residents is higher at 16% compared to 2% in Maple valley.
- Maple valley has a higher percentage of White residents at 74% compared to 58% in Columbus.
- The Asian population is larger in Maple valley at 11% compared to 1% in Columbus.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 5% in Maple valley.
- More residents identify as two or more races in Maple valley at 8% compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Maple valley and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maple valley | Columbus |
|---|---|---|
| Mental Health Not Good | 15.9% | 16.4% |
| Physical Health Not Good | 8.6% | 11.0% |
| Depression | 25.8% | 21.8% |
| Smoking | 9.4% | 15.6% |
| Binge Drinking | 19.6% | 18.5% |
| Obesity | 24.3% | 36.4% |
| Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Maple valley vs Columbus
- In Columbus, a higher percentage report poor mental health at 16.4% compared to 15.9% in Maple valley.
- Depression is more prevalent in Maple valley at 25.8% compared to 21.8% in Columbus.
- Columbus has a higher smoking rate at 15.6% compared to 9.4% in Maple valley.
- Binge drinking is more common in Maple valley at 19.6% compared to 18.5% in Columbus.
- Columbus has higher obesity rates at 36.4% compared to 24.3% in Maple valley.
- There is a higher percentage of disabled individuals in Columbus at 10.0% compared to 7.0% in Maple valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maple valley | Columbus |
|---|---|---|
| No Schooling | 0.4% (103) | 2.3% (87) |
| High School Diploma | 10.2% (2,878) | 25.1% (934) |
| Less than High School | 3.1% (879) | 18.8% (699) |
| Bachelor's Degree and Higher | 28.5% (8,032) | 19.1% (710) |
Education Levels Comparison: Maple valley vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 0.4% in Maple valley.
- In Columbus, the rate of residents with high school diplomas is higher at 25.1% compared to 10.2% in Maple valley.
- The percentage of residents with less than a high school education is higher in Columbus at 18.8%, compared to 3.1% in Maple valley.
- A higher percentage of residents in Maple valley hold a bachelor's degree or higher at 28.5% compared to 19.1% in Columbus.
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.