Demographics details for Hoyt, KS vs South milwaukee, WI
Population Overview
Compare main population characteristics in Hoyt, KS vs South milwaukee, WI.
Data | Hoyt | South milwaukee |
---|---|---|
Population | 589 | 20,309 |
Median Age | 40.0 years | 41.6 years |
Median Income | $73,750 | $68,801 |
Married Families | 56.0% | 40.0% |
Poverty Level | 7% | 6% |
Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Hoyt vs South milwaukee
- The population in South milwaukee is higher at 20,309, compared to 589 in Hoyt.
- The median age in South milwaukee is higher at 41.6 years, compared to 40.0 years in Hoyt.
- Hoyt has a higher median income of $73,750 compared to $68,801 in South milwaukee.
- A higher percentage of married families is found in Hoyt at 56.0% compared to 40.0% in South milwaukee.
- Hoyt has a higher poverty level at 7% compared to 6% in South milwaukee.
- South milwaukee has a higher unemployment rate at 3.9% compared to 3.2% in Hoyt.
Demographics
Demographics Hoyt vs South milwaukee provide insight into the diversity of the communities to compare.
Demographic | Hoyt | South milwaukee |
---|---|---|
Black | Data is updating | 2 |
White | 86 | 76 |
Asian | 1 | 1 |
Hispanic | 5 | 12 |
Two or More Races | 4 | 7 |
American Indian | 4 | 2 |
Demographics Comparison: Hoyt vs South milwaukee
- In South milwaukee, the percentage of Black residents is higher at 2% compared to 0% in Hoyt.
- Hoyt has a higher percentage of White residents at 86% compared to 76% in South milwaukee.
- Both Hoyt and South milwaukee have the same percentage of Asian residents at 1%.
- South milwaukee has a higher percentage of Hispanic residents at 12%, compared to 5% in Hoyt.
- The percentage of residents identifying as two or more races is higher in South milwaukee at 7%, compared to 4% in Hoyt.
- A greater percentage of American Indian residents live in Hoyt at 4% compared to 2% in South milwaukee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hoyt | South milwaukee |
---|---|---|
Mental Health Not Good | 15.8% | 16.4% |
Physical Health Not Good | 9.8% | 10.5% |
Depression | 22.2% | 25.2% |
Smoking | 17.7% | 18.2% |
Binge Drinking | 19.0% | 25.7% |
Obesity | 39.5% | 35.3% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Hoyt vs South milwaukee
- In South milwaukee, a higher percentage report poor mental health at 16.4% compared to 15.8% in Hoyt.
- Higher depression rates are seen in South milwaukee at 25.2% versus 22.2% in Hoyt.
- South milwaukee has a higher smoking rate at 18.2% compared to 17.7% in Hoyt.
- More residents engage in binge drinking in South milwaukee at 25.7% compared to 19.0% in Hoyt.
- Obesity rates are higher in Hoyt at 39.5% compared to 35.3% in South milwaukee.
- There is a higher percentage of disabled individuals in South milwaukee at 15.0% compared to 14.0% in Hoyt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hoyt | South milwaukee |
---|---|---|
No Schooling | 0.5% (3) | 0.8% (153) |
High School Diploma | 26.1% (154) | 24.0% (4,866) |
Less than High School | 12.6% (74) | 11.3% (2,285) |
Bachelor's Degree and Higher | 17.0% (100) | 19.5% (3,959) |
Education Levels Comparison: Hoyt vs South milwaukee
- In South milwaukee, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Hoyt.
- A higher percentage of residents in Hoyt hold a high school diploma at 26.1% compared to 24.0% in South milwaukee.
- More residents in Hoyt have less than a high school education at 12.6% compared to 11.3% in South milwaukee.
- In South milwaukee, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 17.0% in Hoyt.
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.