Demographics details for Long beach, WA vs Odessa, MN
Population Overview
Compare main population characteristics in Long beach, WA vs Odessa, MN.
| Data | Long beach | Odessa |
|---|---|---|
| Population | 1,754 | 104 |
| Median Age | 51.3 years | 49.4 years |
| Median Income | $47,188 | $46,875 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.5 | 2.3 |
Population Comparison: Long beach vs Odessa
- In Long beach, the population is higher at 1,754, compared to 104 in Odessa.
- Residents in Long beach have a higher median age of 51.3 years compared to 49.4 years in Odessa.
- Long beach has a higher median income of $47,188 compared to $46,875 in Odessa.
- A higher percentage of married families is found in Long beach at 41.0% compared to 38.0% in Odessa.
- Long beach has a higher poverty level at 10% compared to 0% in Odessa.
- The unemployment rate in Long beach is higher at 5.5%, compared to 2.3% in Odessa.
Demographics
Demographics Long beach vs Odessa provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Odessa |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 88 |
| Asian | 1 | 12 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Odessa
- The percentage of Black residents is the same in both Long beach and Odessa at 0%.
- The percentage of White residents is higher in Odessa at 88% compared to 86% in Long beach.
- In Odessa, the Asian population stands at 12%, greater than 1% in Long beach.
- The Hispanic community is larger in Long beach at 7% compared to 0% in Odessa.
- More residents identify as two or more races in Long beach at 5% compared to 0% in Odessa.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Odessa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Odessa |
|---|---|---|
| Mental Health Not Good | 20.3% | 14.7% |
| Physical Health Not Good | 14.8% | 9.1% |
| Depression | 28.9% | 22.5% |
| Smoking | 20.1% | 17.9% |
| Binge Drinking | 16.2% | 21.4% |
| Obesity | 38.5% | 36.8% |
| Disability Percentage | 28.0% | 18.0% |
Health Statistics Comparison: Long beach vs Odessa
- More residents in Long beach report poor mental health at 20.3% compared to 14.7% in Odessa.
- Depression is more prevalent in Long beach at 28.9% compared to 22.5% in Odessa.
- Smoking is more prevalent in Long beach at 20.1% compared to 17.9% in Odessa.
- More residents engage in binge drinking in Odessa at 21.4% compared to 16.2% in Long beach.
- Obesity rates are higher in Long beach at 38.5% compared to 36.8% in Odessa.
- Disability percentages are higher in Long beach at 28.0% compared to 18.0% in Odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | Odessa |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.9% (2) |
| High School Diploma | 19.6% (343) | 26.0% (27) |
| Less than High School | 13.6% (238) | 13.5% (14) |
| Bachelor's Degree and Higher | 14.3% (250) | 26.0% (27) |
Education Levels Comparison: Long beach vs Odessa
- In Odessa, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Long beach.
- In Odessa, the rate of residents with high school diplomas is higher at 26.0% compared to 19.6% in Long beach.
- More residents in Long beach have less than a high school education at 13.6% compared to 13.5% in Odessa.
- In Odessa, a larger share of residents have a bachelor's degree or higher at 26.0% compared to 14.3% in Long beach.
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.