Demographics details for Inglewood, CA vs Martinsburg, WV
Population Overview
Compare main population characteristics in Inglewood, CA vs Martinsburg, WV.
Data | Inglewood | Martinsburg |
---|---|---|
Population | 103,621 | 18,953 |
Median Age | 37.3 years | 36.4 years |
Median Income | $67,563 | $55,240 |
Married Families | 30.0% | 29.0% |
Poverty Level | 18% | 8% |
Unemployment Rate | 6.8 | 4.5 |
Population Comparison: Inglewood vs Martinsburg
- In Inglewood, the population is higher at 103,621, compared to 18,953 in Martinsburg.
- Residents in Inglewood have a higher median age of 37.3 years compared to 36.4 years in Martinsburg.
- Inglewood has a higher median income of $67,563 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Inglewood at 30.0% compared to 29.0% in Martinsburg.
- Inglewood has a higher poverty level at 18% compared to 8% in Martinsburg.
- The unemployment rate in Inglewood is higher at 6.8%, compared to 4.5% in Martinsburg.
Demographics
Demographics Inglewood vs Martinsburg provide insight into the diversity of the communities to compare.
Demographic | Inglewood | Martinsburg |
---|---|---|
Black | 41 | 13 |
White | 16 | 69 |
Asian | 3 | 1 |
Hispanic | 51 | 6 |
Two or More Races | 14 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Inglewood vs Martinsburg
- A higher percentage of Black residents are in Inglewood at 41% compared to 13% in Martinsburg.
- The percentage of White residents is higher in Martinsburg at 69% compared to 16% in Inglewood.
- The Asian population is larger in Inglewood at 3% compared to 1% in Martinsburg.
- The Hispanic community is larger in Inglewood at 51% compared to 6% in Martinsburg.
- More residents identify as two or more races in Inglewood at 14% compared to 11% in Martinsburg.
- A greater percentage of American Indian residents live in Inglewood at 1% compared to 0% in Martinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Inglewood | Martinsburg |
---|---|---|
Mental Health Not Good | 17.0% | 21.8% |
Physical Health Not Good | 13.2% | 15.8% |
Depression | 15.4% | 27.7% |
Smoking | 13.2% | 24.7% |
Binge Drinking | 13.8% | 12.6% |
Obesity | 35.7% | 43.0% |
Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Inglewood vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 17.0% in Inglewood.
- Higher depression rates are seen in Martinsburg at 27.7% versus 15.4% in Inglewood.
- Martinsburg has a higher smoking rate at 24.7% compared to 13.2% in Inglewood.
- Binge drinking is more common in Inglewood at 13.8% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 35.7% in Inglewood.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 13.0% in Inglewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Inglewood | Martinsburg |
---|---|---|
No Schooling | 3.5% (3,619) | 0.8% (144) |
High School Diploma | 14.8% (15,291) | 16.7% (3,171) |
Less than High School | 29.9% (30,999) | 13.5% (2,556) |
Bachelor's Degree and Higher | 16.3% (16,899) | 16.2% (3,077) |
Education Levels Comparison: Inglewood vs Martinsburg
- A higher percentage of residents in Inglewood have no formal schooling at 3.5% compared to 0.8% in Martinsburg.
- In Martinsburg, the rate of residents with high school diplomas is higher at 16.7% compared to 14.8% in Inglewood.
- More residents in Inglewood have less than a high school education at 29.9% compared to 13.5% in Martinsburg.
- A higher percentage of residents in Inglewood hold a bachelor's degree or higher at 16.3% 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.