Demographics details for Milwaukee, WI vs Spring valley, NY
Population Overview
Compare main population characteristics in Milwaukee, WI vs Spring valley, NY.
Data | Milwaukee | Spring valley |
---|---|---|
Population | 563,305 | 32,884 |
Median Age | 31.8 years | 27.5 years |
Median Income | $49,733 | $50,749 |
Married Families | 23.0% | 32.0% |
Poverty Level | 18% | 10% |
Unemployment Rate | 4.8 | 3.2 |
Population Comparison: Milwaukee vs Spring valley
- In Milwaukee, the population is higher at 563,305, compared to 32,884 in Spring valley.
- Residents in Milwaukee have a higher median age of 31.8 years compared to 27.5 years in Spring valley.
- Spring valley has a higher median income of $50,749, compared to $49,733 in Milwaukee.
- In Spring valley, the percentage of married families is higher at 32.0%, compared to 23.0% in Milwaukee.
- Milwaukee has a higher poverty level at 18% compared to 10% in Spring valley.
- The unemployment rate in Milwaukee is higher at 4.8%, compared to 3.2% in Spring valley.
Demographics
Demographics Milwaukee vs Spring valley provide insight into the diversity of the communities to compare.
Demographic | Milwaukee | Spring valley |
---|---|---|
Black | 39 | 32 |
White | 24 | 31 |
Asian | 5 | 3 |
Hispanic | 21 | 29 |
Two or More Races | 10 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Milwaukee vs Spring valley
- A higher percentage of Black residents are in Milwaukee at 39% compared to 32% in Spring valley.
- The percentage of White residents is higher in Spring valley at 31% compared to 24% in Milwaukee.
- The Asian population is larger in Milwaukee at 5% compared to 3% in Spring valley.
- Spring valley has a higher percentage of Hispanic residents at 29%, compared to 21% in Milwaukee.
- More residents identify as two or more races in Milwaukee at 10% compared to 5% in Spring valley.
- A greater percentage of American Indian residents live in Milwaukee at 1% compared to 0% in Spring valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milwaukee | Spring valley |
---|---|---|
Mental Health Not Good | 17.5% | 16.7% |
Physical Health Not Good | 12.7% | 13.9% |
Depression | 22.9% | 18.7% |
Smoking | 21.0% | 22.3% |
Binge Drinking | 21.3% | 12.6% |
Obesity | 41.6% | 34.3% |
Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Milwaukee vs Spring valley
- More residents in Milwaukee report poor mental health at 17.5% compared to 16.7% in Spring valley.
- Depression is more prevalent in Milwaukee at 22.9% compared to 18.7% in Spring valley.
- Spring valley has a higher smoking rate at 22.3% compared to 21.0% in Milwaukee.
- Binge drinking is more common in Milwaukee at 21.3% compared to 12.6% in Spring valley.
- Obesity rates are higher in Milwaukee at 41.6% compared to 34.3% in Spring valley.
- Disability percentages are higher in Milwaukee at 13.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Milwaukee | Spring valley |
---|---|---|
No Schooling | 1.3% (7,509) | 3.7% (1,224) |
High School Diploma | 16.7% (93,798) | 13.1% (4,315) |
Less than High School | 14.4% (81,002) | 20.5% (6,742) |
Bachelor's Degree and Higher | 16.6% (93,378) | 10.0% (3,273) |
Education Levels Comparison: Milwaukee vs Spring valley
- In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 1.3% in Milwaukee.
- A higher percentage of residents in Milwaukee hold a high school diploma at 16.7% compared to 13.1% in Spring valley.
- The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, compared to 14.4% in Milwaukee.
- A higher percentage of residents in Milwaukee hold a bachelor's degree or higher at 16.6% compared to 10.0% in Spring 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.