Demographics details for Marysville, KS vs Orange, CA
Population Overview
Compare main population characteristics in Marysville, KS vs Orange, CA.
| Data | Marysville | Orange |
|---|---|---|
| Population | 3,423 | 136,178 |
| Median Age | 38.8 years | 36.5 years |
| Median Income | $53,424 | $109,335 |
| Married Families | 38.0% | 40.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Marysville vs Orange
- The population in Orange is higher at 136,178, compared to 3,423 in Marysville.
- Residents in Marysville have a higher median age of 38.8 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $53,424 in Marysville.
- In Orange, the percentage of married families is higher at 40.0%, compared to 38.0% in Marysville.
- The poverty level is higher in Orange at 9%, compared to 0% in Marysville.
- Orange has a higher unemployment rate at 4.1% compared to 3.5% in Marysville.
Demographics
Demographics Marysville vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Marysville | Orange |
|---|---|---|
| Black | 2 | 2 |
| White | 86 | 29 |
| Asian | 1 | 14 |
| Hispanic | 5 | 40 |
| Two or More Races | 6 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Marysville vs Orange
- The percentage of Black residents is the same in both Marysville and Orange at 2%.
- Marysville has a higher percentage of White residents at 86% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 1% in Marysville.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 5% in Marysville.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 6% in Marysville.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Marysville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marysville | Orange |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.9% |
| Physical Health Not Good | 11.0% | 10.2% |
| Depression | 20.6% | 17.9% |
| Smoking | 19.9% | 10.5% |
| Binge Drinking | 20.1% | 16.8% |
| Obesity | 40.6% | 27.1% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Marysville vs Orange
- More residents in Marysville report poor mental health at 16.7% compared to 14.9% in Orange.
- Depression is more prevalent in Marysville at 20.6% compared to 17.9% in Orange.
- Smoking is more prevalent in Marysville at 19.9% compared to 10.5% in Orange.
- Binge drinking is more common in Marysville at 20.1% compared to 16.8% in Orange.
- Obesity rates are higher in Marysville at 40.6% compared to 27.1% in Orange.
- Disability percentages are higher in Marysville at 16.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marysville | Orange |
|---|---|---|
| No Schooling | 0.2% (8) | 1.8% (2,483) |
| High School Diploma | 20.5% (701) | 11.0% (14,986) |
| Less than High School | 12.0% (410) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 19.7% (674) | 28.2% (38,372) |
Education Levels Comparison: Marysville vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.2% in Marysville.
- A higher percentage of residents in Marysville hold a high school diploma at 20.5% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 12.0% in Marysville.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 19.7% in Marysville.
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.