Demographics details for Norfolk, NE vs Long beach, WA
Population Overview
Compare main population characteristics in Norfolk, NE vs Long beach, WA.
| Data | Norfolk | Long beach |
|---|---|---|
| Population | 25,928 | 1,754 |
| Median Age | 36.8 years | 51.3 years |
| Median Income | $57,479 | $47,188 |
| Married Families | 38.0% | 41.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.1 | 5.5 |
Population Comparison: Norfolk vs Long beach
- In Norfolk, the population is higher at 25,928, compared to 1,754 in Long beach.
- The median age in Long beach is higher at 51.3 years, compared to 36.8 years in Norfolk.
- Norfolk has a higher median income of $57,479 compared to $47,188 in Long beach.
- In Long beach, the percentage of married families is higher at 41.0%, compared to 38.0% in Norfolk.
- The poverty level is identical in both Norfolk and Long beach at 10%.
- Long beach has a higher unemployment rate at 5.5% compared to 3.1% in Norfolk.
Demographics
Demographics Norfolk vs Long beach provide insight into the diversity of the communities to compare.
| Demographic | Norfolk | Long beach |
|---|---|---|
| Black | 1 | Data is updating |
| White | 75 | 86 |
| Asian | 1 | 1 |
| Hispanic | 14 | 7 |
| Two or More Races | 8 | 5 |
| American Indian | 1 | 1 |
Demographics Comparison: Norfolk vs Long beach
- A higher percentage of Black residents are in Norfolk at 1% compared to 0% in Long beach.
- The percentage of White residents is higher in Long beach at 86% compared to 75% in Norfolk.
- Both Norfolk and Long beach have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Norfolk at 14% compared to 7% in Long beach.
- More residents identify as two or more races in Norfolk at 8% compared to 5% in Long beach.
- The percentage of American Indian residents is the same in both Norfolk and Long beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norfolk | Long beach |
|---|---|---|
| Mental Health Not Good | 14.3% | 20.3% |
| Physical Health Not Good | 10.1% | 14.8% |
| Depression | 18.5% | 28.9% |
| Smoking | 16.9% | 20.1% |
| Binge Drinking | 21.4% | 16.2% |
| Obesity | 37.1% | 38.5% |
| Disability Percentage | 11.0% | 28.0% |
Health Statistics Comparison: Norfolk vs Long beach
- In Long beach, a higher percentage report poor mental health at 20.3% compared to 14.3% in Norfolk.
- Higher depression rates are seen in Long beach at 28.9% versus 18.5% in Norfolk.
- Long beach has a higher smoking rate at 20.1% compared to 16.9% in Norfolk.
- Binge drinking is more common in Norfolk at 21.4% compared to 16.2% in Long beach.
- Long beach has higher obesity rates at 38.5% compared to 37.1% in Norfolk.
- There is a higher percentage of disabled individuals in Long beach at 28.0% compared to 11.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norfolk | Long beach |
|---|---|---|
| No Schooling | 1.3% (340) | 0.0% (Data is updating) |
| High School Diploma | 18.2% (4,708) | 19.6% (343) |
| Less than High School | 8.1% (2,107) | 13.6% (238) |
| Bachelor's Degree and Higher | 16.6% (4,308) | 14.3% (250) |
Education Levels Comparison: Norfolk vs Long beach
- A higher percentage of residents in Norfolk have no formal schooling at 1.3% compared to 0.0% in Long beach.
- In Long beach, the rate of residents with high school diplomas is higher at 19.6% compared to 18.2% in Norfolk.
- The percentage of residents with less than a high school education is higher in Long beach at 13.6%, compared to 8.1% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 16.6% 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.