Demographics details for Long beach, CA vs Woodstock, MN
Population Overview
Compare main population characteristics in Long beach, CA vs Woodstock, MN.
| Data | Long beach | Woodstock |
|---|---|---|
| Population | 451,307 | 110 |
| Median Age | 36.1 years | 33.6 years |
| Median Income | $78,995 | $53,804 |
| Married Families | 32.0% | 68.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 6.0 | 3.1 |
Population Comparison: Long beach vs Woodstock
- In Long beach, the population is higher at 451,307, compared to 110 in Woodstock.
- Residents in Long beach have a higher median age of 36.1 years compared to 33.6 years in Woodstock.
- Long beach has a higher median income of $78,995 compared to $53,804 in Woodstock.
- In Woodstock, the percentage of married families is higher at 68.0%, compared to 32.0% in Long beach.
- Long beach has a higher poverty level at 18% compared to 10% in Woodstock.
- The unemployment rate in Long beach is higher at 6.0%, compared to 3.1% in Woodstock.
Demographics
Demographics Long beach vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Woodstock |
|---|---|---|
| Black | 12 | Data is updating |
| White | 17 | 95 |
| Asian | 13 | Data is updating |
| Hispanic | 45 | 3 |
| Two or More Races | 12 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Woodstock
- A higher percentage of Black residents are in Long beach at 12% compared to 0% in Woodstock.
- The percentage of White residents is higher in Woodstock at 95% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 0% in Woodstock.
- The Hispanic community is larger in Long beach at 45% compared to 3% in Woodstock.
- More residents identify as two or more races in Long beach at 12% compared to 2% in Woodstock.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Woodstock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Woodstock |
|---|---|---|
| Mental Health Not Good | 16.0% | 14.4% |
| Physical Health Not Good | 11.6% | 9.1% |
| Depression | 16.2% | 21.7% |
| Smoking | 12.0% | 17.8% |
| Binge Drinking | 14.9% | 20.9% |
| Obesity | 29.3% | 34.6% |
| Disability Percentage | 11.0% | 5.0% |
Health Statistics Comparison: Long beach vs Woodstock
- More residents in Long beach report poor mental health at 16.0% compared to 14.4% in Woodstock.
- Higher depression rates are seen in Woodstock at 21.7% versus 16.2% in Long beach.
- Woodstock has a higher smoking rate at 17.8% compared to 12.0% in Long beach.
- More residents engage in binge drinking in Woodstock at 20.9% compared to 14.9% in Long beach.
- Woodstock has higher obesity rates at 34.6% compared to 29.3% in Long beach.
- Disability percentages are higher in Long beach at 11.0% compared to 5.0% in Woodstock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | Woodstock |
|---|---|---|
| No Schooling | 4.6% (20,870) | 0.9% (1) |
| High School Diploma | 11.0% (49,640) | 20.0% (22) |
| Less than High School | 23.7% (106,838) | 14.5% (16) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 10.9% (12) |
Education Levels Comparison: Long beach vs Woodstock
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 0.9% in Woodstock.
- In Woodstock, the rate of residents with high school diplomas is higher at 20.0% compared to 11.0% in Long beach.
- More residents in Long beach have less than a high school education at 23.7% compared to 14.5% in Woodstock.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 23.8% compared to 10.9% in Woodstock.
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.