Demographics details for Martinsburg, WV vs San clemente, CA
Population Overview
Compare main population characteristics in Martinsburg, WV vs San clemente, CA.
Data | Martinsburg | San clemente |
---|---|---|
Population | 18,953 | 63,457 |
Median Age | 36.4 years | 44.2 years |
Median Income | $55,240 | $134,730 |
Married Families | 29.0% | 49.0% |
Poverty Level | 8% | 7% |
Unemployment Rate | 4.5 | 3.8 |
Population Comparison: Martinsburg vs San clemente
- The population in San clemente is higher at 63,457, compared to 18,953 in Martinsburg.
- The median age in San clemente is higher at 44.2 years, compared to 36.4 years in Martinsburg.
- San clemente has a higher median income of $134,730, compared to $55,240 in Martinsburg.
- In San clemente, the percentage of married families is higher at 49.0%, compared to 29.0% in Martinsburg.
- Martinsburg has a higher poverty level at 8% compared to 7% in San clemente.
- The unemployment rate in Martinsburg is higher at 4.5%, compared to 3.8% in San clemente.
Demographics
Demographics Martinsburg vs San clemente provide insight into the diversity of the communities to compare.
Demographic | Martinsburg | San clemente |
---|---|---|
Black | 13 | 2 |
White | 69 | 64 |
Asian | 1 | 5 |
Hispanic | 6 | 17 |
Two or More Races | 11 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsburg vs San clemente
- A higher percentage of Black residents are in Martinsburg at 13% compared to 2% in San clemente.
- Martinsburg has a higher percentage of White residents at 69% compared to 64% in San clemente.
- In San clemente, the Asian population stands at 5%, greater than 1% in Martinsburg.
- San clemente has a higher percentage of Hispanic residents at 17%, compared to 6% in Martinsburg.
- The percentage of residents identifying as two or more races is higher in San clemente at 12%, compared to 11% in Martinsburg.
- The percentage of American Indian residents is the same in both Martinsburg and San clemente at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Martinsburg | San clemente |
---|---|---|
Mental Health Not Good | 21.8% | 14.2% |
Physical Health Not Good | 15.8% | 8.6% |
Depression | 27.7% | 18.9% |
Smoking | 24.7% | 8.9% |
Binge Drinking | 12.6% | 19.0% |
Obesity | 43.0% | 25.4% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Martinsburg vs San clemente
- More residents in Martinsburg report poor mental health at 21.8% compared to 14.2% in San clemente.
- Depression is more prevalent in Martinsburg at 27.7% compared to 18.9% in San clemente.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 8.9% in San clemente.
- More residents engage in binge drinking in San clemente at 19.0% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 25.4% in San clemente.
- Disability percentages are higher in Martinsburg at 17.0% compared to 9.0% in San clemente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Martinsburg | San clemente |
---|---|---|
No Schooling | 0.8% (144) | 0.9% (574) |
High School Diploma | 16.7% (3,171) | 8.4% (5,352) |
Less than High School | 13.5% (2,556) | 7.8% (4,957) |
Bachelor's Degree and Higher | 16.2% (3,077) | 36.1% (22,911) |
Education Levels Comparison: Martinsburg vs San clemente
- In San clemente, a larger percentage of residents lack formal schooling at 0.9% compared to 0.8% in Martinsburg.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 8.4% in San clemente.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 7.8% in San clemente.
- In San clemente, a larger share of residents have a bachelor's degree or higher at 36.1% compared to 16.2% in Martinsburg.
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.