Demographics details for Long beach, WA vs Millen, GA
Population Overview
Compare main population characteristics in Long beach, WA vs Millen, GA.
| Data | Long beach | Millen |
|---|---|---|
| Population | 1,754 | 2,957 |
| Median Age | 51.3 years | 54.5 years |
| Median Income | $47,188 | $34,213 |
| Married Families | 41.0% | 29.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 5.5 | 4.5 |
Population Comparison: Long beach vs Millen
- The population in Millen is higher at 2,957, compared to 1,754 in Long beach.
- The median age in Millen is higher at 54.5 years, compared to 51.3 years in Long beach.
- Long beach has a higher median income of $47,188 compared to $34,213 in Millen.
- A higher percentage of married families is found in Long beach at 41.0% compared to 29.0% in Millen.
- The poverty level is higher in Millen at 15%, compared to 10% in Long beach.
- The unemployment rate in Long beach is higher at 5.5%, compared to 4.5% in Millen.
Demographics
Demographics Long beach vs Millen provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Millen |
|---|---|---|
| Black | Data is updating | 48 |
| White | 86 | 40 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 6 |
| Two or More Races | 5 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Millen
- In Millen, the percentage of Black residents is higher at 48% compared to 0% in Long beach.
- Long beach has a higher percentage of White residents at 86% compared to 40% in Millen.
- The Asian population is larger in Long beach at 1% compared to 0% in Millen.
- The Hispanic community is larger in Long beach at 7% compared to 6% in Millen.
- The percentage of residents identifying as two or more races is higher in Millen at 6%, compared to 5% in Long beach.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Millen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Millen |
|---|---|---|
| Mental Health Not Good | 20.3% | 21.3% |
| Physical Health Not Good | 14.8% | 17.2% |
| Depression | 28.9% | 22.3% |
| Smoking | 20.1% | 26.7% |
| Binge Drinking | 16.2% | 12.0% |
| Obesity | 38.5% | 45.9% |
| Disability Percentage | 28.0% | 26.0% |
Health Statistics Comparison: Long beach vs Millen
- In Millen, a higher percentage report poor mental health at 21.3% compared to 20.3% in Long beach.
- Depression is more prevalent in Long beach at 28.9% compared to 22.3% in Millen.
- Millen has a higher smoking rate at 26.7% compared to 20.1% in Long beach.
- Binge drinking is more common in Long beach at 16.2% compared to 12.0% in Millen.
- Millen has higher obesity rates at 45.9% compared to 38.5% in Long beach.
- Disability percentages are higher in Long beach at 28.0% compared to 26.0% in Millen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | Millen |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (36) |
| High School Diploma | 19.6% (343) | 32.5% (960) |
| Less than High School | 13.6% (238) | 23.3% (690) |
| Bachelor's Degree and Higher | 14.3% (250) | 7.1% (211) |
Education Levels Comparison: Long beach vs Millen
- In Millen, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Long beach.
- In Millen, the rate of residents with high school diplomas is higher at 32.5% compared to 19.6% in Long beach.
- The percentage of residents with less than a high school education is higher in Millen at 23.3%, compared to 13.6% in Long beach.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 14.3% compared to 7.1% in Millen.
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.