Demographics details for Baytown, TX vs Maple valley, WA
Population Overview
Compare main population characteristics in Baytown, TX vs Maple valley, WA.
| Data | Baytown | Maple valley |
|---|---|---|
| Population | 84,324 | 28,220 |
| Median Age | 33.9 years | 36.4 years |
| Median Income | $61,158 | $137,595 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 8.7 | 4.7 |
Population Comparison: Baytown vs Maple valley
- In Baytown, the population is higher at 84,324, compared to 28,220 in Maple valley.
- The median age in Maple valley is higher at 36.4 years, compared to 33.9 years in Baytown.
- Maple valley has a higher median income of $137,595, compared to $61,158 in Baytown.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 34.0% in Baytown.
- Baytown has a higher poverty level at 9% compared to 0% in Maple valley.
- The unemployment rate in Baytown is higher at 8.7%, compared to 4.7% in Maple valley.
Demographics
Demographics Baytown vs Maple valley provide insight into the diversity of the communities to compare.
| Demographic | Baytown | Maple valley |
|---|---|---|
| Black | 16 | 2 |
| White | 15 | 74 |
| Asian | 2 | 11 |
| Hispanic | 52 | 5 |
| Two or More Races | 15 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baytown vs Maple valley
- A higher percentage of Black residents are in Baytown at 16% compared to 2% in Maple valley.
- The percentage of White residents is higher in Maple valley at 74% compared to 15% in Baytown.
- In Maple valley, the Asian population stands at 11%, greater than 2% in Baytown.
- The Hispanic community is larger in Baytown at 52% compared to 5% in Maple valley.
- More residents identify as two or more races in Baytown at 15% compared to 8% in Maple valley.
- The percentage of American Indian residents is the same in both Baytown and Maple valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baytown | Maple valley |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.9% |
| Physical Health Not Good | 12.9% | 8.6% |
| Depression | 21.9% | 25.8% |
| Smoking | 18.4% | 9.4% |
| Binge Drinking | 18.2% | 19.6% |
| Obesity | 38.4% | 24.3% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Baytown vs Maple valley
- More residents in Baytown report poor mental health at 17.9% compared to 15.9% in Maple valley.
- Higher depression rates are seen in Maple valley at 25.8% versus 21.9% in Baytown.
- Smoking is more prevalent in Baytown at 18.4% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 18.2% in Baytown.
- Obesity rates are higher in Baytown at 38.4% compared to 24.3% in Maple valley.
- Disability percentages are higher in Baytown at 12.0% 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 | Baytown | Maple valley |
|---|---|---|
| No Schooling | 2.1% (1,751) | 0.4% (103) |
| High School Diploma | 15.0% (12,677) | 10.2% (2,878) |
| Less than High School | 27.0% (22,758) | 3.1% (879) |
| Bachelor's Degree and Higher | 9.0% (7,626) | 28.5% (8,032) |
Education Levels Comparison: Baytown vs Maple valley
- A higher percentage of residents in Baytown have no formal schooling at 2.1% compared to 0.4% in Maple valley.
- A higher percentage of residents in Baytown hold a high school diploma at 15.0% compared to 10.2% in Maple valley.
- More residents in Baytown have less than a high school education at 27.0% compared to 3.1% in Maple valley.
- In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 9.0% in Baytown.
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.