Demographics details for Jupiter, FL vs Maple valley, WA
Population Overview
Compare main population characteristics in Jupiter, FL vs Maple valley, WA.
Data | Jupiter | Maple valley |
---|---|---|
Population | 61,126 | 28,220 |
Median Age | 47.1 years | 36.4 years |
Median Income | $105,413 | $137,595 |
Married Families | 45.0% | 47.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 2.9 | 4.7 |
Population Comparison: Jupiter vs Maple valley
- In Jupiter, the population is higher at 61,126, compared to 28,220 in Maple valley.
- Residents in Jupiter have a higher median age of 47.1 years compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595, compared to $105,413 in Jupiter.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 45.0% in Jupiter.
- Jupiter has a higher poverty level at 9% compared to 0% in Maple valley.
- Maple valley has a higher unemployment rate at 4.7% compared to 2.9% in Jupiter.
Demographics
Demographics Jupiter vs Maple valley provide insight into the diversity of the communities to compare.
Demographic | Jupiter | Maple valley |
---|---|---|
Black | 1 | 2 |
White | 69 | 74 |
Asian | 2 | 11 |
Hispanic | 16 | 5 |
Two or More Races | 11 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Jupiter vs Maple valley
- In Maple valley, the percentage of Black residents is higher at 2% compared to 1% in Jupiter.
- The percentage of White residents is higher in Maple valley at 74% compared to 69% in Jupiter.
- In Maple valley, the Asian population stands at 11%, greater than 2% in Jupiter.
- The Hispanic community is larger in Jupiter at 16% compared to 5% in Maple valley.
- More residents identify as two or more races in Jupiter at 11% compared to 8% in Maple valley.
- A greater percentage of American Indian residents live in Jupiter at 1% compared to 0% in Maple valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jupiter | Maple valley |
---|---|---|
Mental Health Not Good | 14.1% | 15.9% |
Physical Health Not Good | 8.6% | 8.6% |
Depression | 17.9% | 25.8% |
Smoking | 14.4% | 9.4% |
Binge Drinking | 17.7% | 19.6% |
Obesity | 23.3% | 24.3% |
Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Jupiter vs Maple valley
- In Maple valley, a higher percentage report poor mental health at 15.9% compared to 14.1% in Jupiter.
- Higher depression rates are seen in Maple valley at 25.8% versus 17.9% in Jupiter.
- Smoking is more prevalent in Jupiter at 14.4% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 17.7% in Jupiter.
- Maple valley has higher obesity rates at 24.3% compared to 23.3% in Jupiter.
- Disability percentages are higher in Jupiter at 11.0% 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 | Jupiter | Maple valley |
---|---|---|
No Schooling | 1.2% (721) | 0.4% (103) |
High School Diploma | 10.8% (6,624) | 10.2% (2,878) |
Less than High School | 9.1% (5,552) | 3.1% (879) |
Bachelor's Degree and Higher | 36.5% (22,312) | 28.5% (8,032) |
Education Levels Comparison: Jupiter vs Maple valley
- A higher percentage of residents in Jupiter have no formal schooling at 1.2% compared to 0.4% in Maple valley.
- A higher percentage of residents in Jupiter hold a high school diploma at 10.8% compared to 10.2% in Maple valley.
- More residents in Jupiter have less than a high school education at 9.1% compared to 3.1% in Maple valley.
- A higher percentage of residents in Jupiter hold a bachelor's degree or higher at 36.5% compared to 28.5% in Maple valley.
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.