Demographics details for Orange cove, CA vs Winona lake, IN
Population Overview
Compare main population characteristics in Orange cove, CA vs Winona lake, IN.
Data | Orange cove | Winona lake |
---|---|---|
Population | 9,525 | 5,106 |
Median Age | 24.4 years | 28.9 years |
Median Income | $33,671 | $77,305 |
Married Families | 30.0% | 36.0% |
Poverty Level | 26% | 5% |
Unemployment Rate | 5.2 | 2.5 |
Population Comparison: Orange cove vs Winona lake
- In Orange cove, the population is higher at 9,525, compared to 5,106 in Winona lake.
- The median age in Winona lake is higher at 28.9 years, compared to 24.4 years in Orange cove.
- Winona lake has a higher median income of $77,305, compared to $33,671 in Orange cove.
- In Winona lake, the percentage of married families is higher at 36.0%, compared to 30.0% in Orange cove.
- Orange cove has a higher poverty level at 26% compared to 5% in Winona lake.
- The unemployment rate in Orange cove is higher at 5.2%, compared to 2.5% in Winona lake.
Demographics
Demographics Orange cove vs Winona lake provide insight into the diversity of the communities to compare.
Demographic | Orange cove | Winona lake |
---|---|---|
Black | 1 | 1 |
White | -17 | 79 |
Asian | Data is updating | 1 |
Hispanic | 97 | 14 |
Two or More Races | 19 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Orange cove vs Winona lake
- The percentage of Black residents is the same in both Orange cove and Winona lake at 1%.
- The percentage of White residents is higher in Winona lake at 79% compared to -17% in Orange cove.
- In Winona lake, the Asian population stands at 1%, greater than 0% in Orange cove.
- The Hispanic community is larger in Orange cove at 97% compared to 14% in Winona lake.
- More residents identify as two or more races in Orange cove at 19% compared to 5% in Winona lake.
- The percentage of American Indian residents is the same in both Orange cove and Winona lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Orange cove | Winona lake |
---|---|---|
Mental Health Not Good | 21.3% | 15.7% |
Physical Health Not Good | 20.7% | 9.8% |
Depression | 19.2% | 24.7% |
Smoking | 21.1% | 16.3% |
Binge Drinking | 11.7% | 18.1% |
Obesity | 46.7% | 35.6% |
Disability Percentage | 7.0% | 8.0% |
Health Statistics Comparison: Orange cove vs Winona lake
- More residents in Orange cove report poor mental health at 21.3% compared to 15.7% in Winona lake.
- Higher depression rates are seen in Winona lake at 24.7% versus 19.2% in Orange cove.
- Smoking is more prevalent in Orange cove at 21.1% compared to 16.3% in Winona lake.
- More residents engage in binge drinking in Winona lake at 18.1% compared to 11.7% in Orange cove.
- Obesity rates are higher in Orange cove at 46.7% compared to 35.6% in Winona lake.
- There is a higher percentage of disabled individuals in Winona lake at 8.0% compared to 7.0% in Orange cove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Orange cove | Winona lake |
---|---|---|
No Schooling | 6.5% (617) | 0.3% (17) |
High School Diploma | 8.0% (765) | 9.5% (483) |
Less than High School | 55.1% (5,248) | 4.0% (205) |
Bachelor's Degree and Higher | 3.3% (315) | 32.4% (1,654) |
Education Levels Comparison: Orange cove vs Winona lake
- A higher percentage of residents in Orange cove have no formal schooling at 6.5% compared to 0.3% in Winona lake.
- In Winona lake, the rate of residents with high school diplomas is higher at 9.5% compared to 8.0% in Orange cove.
- More residents in Orange cove have less than a high school education at 55.1% compared to 4.0% in Winona lake.
- In Winona lake, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 3.3% in Orange cove.
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.