Demographics details for Long beach, WA vs Gardner, MA
Population Overview
Compare main population characteristics in Long beach, WA vs Gardner, MA.
Data | Long beach | Gardner |
---|---|---|
Population | 1,754 | 20,902 |
Median Age | 51.3 years | 45.0 years |
Median Income | $47,188 | $56,974 |
Married Families | 41.0% | 38.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 5.5 | 4.6 |
Population Comparison: Long beach vs Gardner
- The population in Gardner is higher at 20,902, compared to 1,754 in Long beach.
- Residents in Long beach have a higher median age of 51.3 years compared to 45.0 years in Gardner.
- Gardner has a higher median income of $56,974, compared to $47,188 in Long beach.
- A higher percentage of married families is found in Long beach at 41.0% compared to 38.0% in Gardner.
- Long beach has a higher poverty level at 10% compared to 9% in Gardner.
- The unemployment rate in Long beach is higher at 5.5%, compared to 4.6% in Gardner.
Demographics
Demographics Long beach vs Gardner provide insight into the diversity of the communities to compare.
Demographic | Long beach | Gardner |
---|---|---|
Black | Data is updating | 2 |
White | 86 | 82 |
Asian | 1 | 3 |
Hispanic | 7 | 8 |
Two or More Races | 5 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Gardner
- In Gardner, the percentage of Black residents is higher at 2% compared to 0% in Long beach.
- Long beach has a higher percentage of White residents at 86% compared to 82% in Gardner.
- In Gardner, the Asian population stands at 3%, greater than 1% in Long beach.
- Gardner has a higher percentage of Hispanic residents at 8%, compared to 7% in Long beach.
- Both Long beach and Gardner have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Gardner.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Long beach | Gardner |
---|---|---|
Mental Health Not Good | 20.3% | 18.7% |
Physical Health Not Good | 14.8% | 11.1% |
Depression | 28.9% | 24.4% |
Smoking | 20.1% | 17.3% |
Binge Drinking | 16.2% | 17.6% |
Obesity | 38.5% | 33.5% |
Disability Percentage | 28.0% | 14.0% |
Health Statistics Comparison: Long beach vs Gardner
- More residents in Long beach report poor mental health at 20.3% compared to 18.7% in Gardner.
- Depression is more prevalent in Long beach at 28.9% compared to 24.4% in Gardner.
- Smoking is more prevalent in Long beach at 20.1% compared to 17.3% in Gardner.
- More residents engage in binge drinking in Gardner at 17.6% compared to 16.2% in Long beach.
- Obesity rates are higher in Long beach at 38.5% compared to 33.5% in Gardner.
- Disability percentages are higher in Long beach at 28.0% compared to 14.0% in Gardner.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Long beach | Gardner |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.3% (276) |
High School Diploma | 19.6% (343) | 21.5% (4,487) |
Less than High School | 13.6% (238) | 16.8% (3,513) |
Bachelor's Degree and Higher | 14.3% (250) | 15.0% (3,133) |
Education Levels Comparison: Long beach vs Gardner
- In Gardner, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Long beach.
- In Gardner, the rate of residents with high school diplomas is higher at 21.5% compared to 19.6% in Long beach.
- The percentage of residents with less than a high school education is higher in Gardner at 16.8%, compared to 13.6% in Long beach.
- In Gardner, a larger share of residents have a bachelor's degree or higher at 15.0% 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.