Demographics details for Orange cove, CA vs Crossett, AR
Population Overview
Compare main population characteristics in Orange cove, CA vs Crossett, AR.
Data | Orange cove | Crossett |
---|---|---|
Population | 9,525 | 4,613 |
Median Age | 24.4 years | 43.6 years |
Median Income | $33,671 | $41,250 |
Married Families | 30.0% | 40.0% |
Poverty Level | 26% | 19% |
Unemployment Rate | 5.2 | 5.1 |
Population Comparison: Orange cove vs Crossett
- In Orange cove, the population is higher at 9,525, compared to 4,613 in Crossett.
- The median age in Crossett is higher at 43.6 years, compared to 24.4 years in Orange cove.
- Crossett has a higher median income of $41,250, compared to $33,671 in Orange cove.
- In Crossett, the percentage of married families is higher at 40.0%, compared to 30.0% in Orange cove.
- Orange cove has a higher poverty level at 26% compared to 19% in Crossett.
- The unemployment rate in Orange cove is higher at 5.2%, compared to 5.1% in Crossett.
Demographics
Demographics Orange cove vs Crossett provide insight into the diversity of the communities to compare.
Demographic | Orange cove | Crossett |
---|---|---|
Black | 1 | 45 |
White | -17 | 51 |
Asian | Data is updating | Data is updating |
Hispanic | 97 | 2 |
Two or More Races | 19 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Orange cove vs Crossett
- In Crossett, the percentage of Black residents is higher at 45% compared to 1% in Orange cove.
- The percentage of White residents is higher in Crossett at 51% compared to -17% in Orange cove.
- Both Orange cove and Crossett have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Orange cove at 97% compared to 2% in Crossett.
- More residents identify as two or more races in Orange cove at 19% compared to 2% in Crossett.
- The percentage of American Indian residents is the same in both Orange cove and Crossett at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Orange cove | Crossett |
---|---|---|
Mental Health Not Good | 21.3% | 21.0% |
Physical Health Not Good | 20.7% | 16.1% |
Depression | 19.2% | 26.2% |
Smoking | 21.1% | 25.8% |
Binge Drinking | 11.7% | 12.6% |
Obesity | 46.7% | 44.0% |
Disability Percentage | 7.0% | 27.0% |
Health Statistics Comparison: Orange cove vs Crossett
- More residents in Orange cove report poor mental health at 21.3% compared to 21.0% in Crossett.
- Higher depression rates are seen in Crossett at 26.2% versus 19.2% in Orange cove.
- Crossett has a higher smoking rate at 25.8% compared to 21.1% in Orange cove.
- More residents engage in binge drinking in Crossett at 12.6% compared to 11.7% in Orange cove.
- Obesity rates are higher in Orange cove at 46.7% compared to 44.0% in Crossett.
- There is a higher percentage of disabled individuals in Crossett at 27.0% 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 | Crossett |
---|---|---|
No Schooling | 6.5% (617) | 0.9% (40) |
High School Diploma | 8.0% (765) | 25.8% (1,191) |
Less than High School | 55.1% (5,248) | 14.2% (653) |
Bachelor's Degree and Higher | 3.3% (315) | 14.9% (687) |
Education Levels Comparison: Orange cove vs Crossett
- A higher percentage of residents in Orange cove have no formal schooling at 6.5% compared to 0.9% in Crossett.
- In Crossett, the rate of residents with high school diplomas is higher at 25.8% compared to 8.0% in Orange cove.
- More residents in Orange cove have less than a high school education at 55.1% compared to 14.2% in Crossett.
- In Crossett, a larger share of residents have a bachelor's degree or higher at 14.9% 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.