Demographics details for Hollister, NC vs Long beach, WA
Population Overview
Compare main population characteristics in Hollister, NC vs Long beach, WA.
Data | Hollister | Long beach |
---|---|---|
Population | 847 | 1,754 |
Median Age | 34.3 years | 51.3 years |
Median Income | $39,913 | $47,188 |
Married Families | 40.0% | 41.0% |
Poverty Level | 20% | 10% |
Unemployment Rate | 4.5 | 5.5 |
Population Comparison: Hollister vs Long beach
- The population in Long beach is higher at 1,754, compared to 847 in Hollister.
- The median age in Long beach is higher at 51.3 years, compared to 34.3 years in Hollister.
- Long beach has a higher median income of $47,188, compared to $39,913 in Hollister.
- In Long beach, the percentage of married families is higher at 41.0%, compared to 40.0% in Hollister.
- Hollister has a higher poverty level at 20% compared to 10% in Long beach.
- Long beach has a higher unemployment rate at 5.5% compared to 4.5% in Hollister.
Demographics
Demographics Hollister vs Long beach provide insight into the diversity of the communities to compare.
Demographic | Hollister | Long beach |
---|---|---|
Black | 16 | Data is updating |
White | 21 | 86 |
Asian | 5 | 1 |
Hispanic | 4 | 7 |
Two or More Races | 13 | 5 |
American Indian | 41 | 1 |
Demographics Comparison: Hollister vs Long beach
- A higher percentage of Black residents are in Hollister at 16% compared to 0% in Long beach.
- The percentage of White residents is higher in Long beach at 86% compared to 21% in Hollister.
- The Asian population is larger in Hollister at 5% compared to 1% in Long beach.
- Long beach has a higher percentage of Hispanic residents at 7%, compared to 4% in Hollister.
- More residents identify as two or more races in Hollister at 13% compared to 5% in Long beach.
- A greater percentage of American Indian residents live in Hollister at 41% compared to 1% in Long beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hollister | Long beach |
---|---|---|
Mental Health Not Good | 21.8% | 20.3% |
Physical Health Not Good | 18.1% | 14.8% |
Depression | 24.6% | 28.9% |
Smoking | 31.3% | 20.1% |
Binge Drinking | 14.9% | 16.2% |
Obesity | 44.9% | 38.5% |
Disability Percentage | 25.0% | 28.0% |
Health Statistics Comparison: Hollister vs Long beach
- More residents in Hollister report poor mental health at 21.8% compared to 20.3% in Long beach.
- Higher depression rates are seen in Long beach at 28.9% versus 24.6% in Hollister.
- Smoking is more prevalent in Hollister at 31.3% compared to 20.1% in Long beach.
- More residents engage in binge drinking in Long beach at 16.2% compared to 14.9% in Hollister.
- Obesity rates are higher in Hollister at 44.9% compared to 38.5% in Long beach.
- There is a higher percentage of disabled individuals in Long beach at 28.0% compared to 25.0% in Hollister.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hollister | Long beach |
---|---|---|
No Schooling | 3.9% (33) | 0.0% (Data is updating) |
High School Diploma | 21.0% (178) | 19.6% (343) |
Less than High School | 12.3% (104) | 13.6% (238) |
Bachelor's Degree and Higher | 10.7% (91) | 14.3% (250) |
Education Levels Comparison: Hollister vs Long beach
- A higher percentage of residents in Hollister have no formal schooling at 3.9% compared to 0.0% in Long beach.
- A higher percentage of residents in Hollister hold a high school diploma at 21.0% compared to 19.6% in Long beach.
- The percentage of residents with less than a high school education is higher in Long beach at 13.6%, compared to 12.3% in Hollister.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 14.3% compared to 10.7% in Hollister.
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.