Demographics details for Washington, DC vs Kerman, CA
Population Overview
Compare main population characteristics in Washington, DC vs Kerman, CA.
| Data | Washington | Kerman |
|---|---|---|
| Population | 671,803 | 16,208 |
| Median Age | 34.8 years | 27.8 years |
| Median Income | $101,722 | $53,956 |
| Married Families | 26.0% | 32.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.3 | 5.5 |
Population Comparison: Washington vs Kerman
- In Washington, the population is higher at 671,803, compared to 16,208 in Kerman.
- Residents in Washington have a higher median age of 34.8 years compared to 27.8 years in Kerman.
- Washington has a higher median income of $101,722 compared to $53,956 in Kerman.
- In Kerman, the percentage of married families is higher at 32.0%, compared to 26.0% in Washington.
- Washington has a higher poverty level at 18% compared to 12% in Kerman.
- The unemployment rate in Washington is higher at 6.3%, compared to 5.5% in Kerman.
Demographics
Demographics Washington vs Kerman provide insight into the diversity of the communities to compare.
| Demographic | Washington | Kerman |
|---|---|---|
| Black | 44 | Data is updating |
| White | 34 | -12 |
| Asian | 4 | 7 |
| Hispanic | 11 | 81 |
| Two or More Races | 7 | 22 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Washington vs Kerman
- A higher percentage of Black residents are in Washington at 44% compared to 0% in Kerman.
- Washington has a higher percentage of White residents at 34% compared to -12% in Kerman.
- In Kerman, the Asian population stands at 7%, greater than 4% in Washington.
- Kerman has a higher percentage of Hispanic residents at 81%, compared to 11% in Washington.
- The percentage of residents identifying as two or more races is higher in Kerman at 22%, compared to 7% in Washington.
- In Kerman, the percentage of American Indian residents is higher at 2%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Kerman |
|---|---|---|
| Mental Health Not Good | 14.0% | 18.7% |
| Physical Health Not Good | 8.6% | 15.8% |
| Depression | 20.1% | 18.0% |
| Smoking | 12.4% | 17.3% |
| Binge Drinking | 20.7% | 13.1% |
| Obesity | 25.6% | 39.5% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Washington vs Kerman
- In Kerman, a higher percentage report poor mental health at 18.7% compared to 14.0% in Washington.
- Depression is more prevalent in Washington at 20.1% compared to 18.0% in Kerman.
- Kerman has a higher smoking rate at 17.3% compared to 12.4% in Washington.
- Binge drinking is more common in Washington at 20.7% compared to 13.1% in Kerman.
- Kerman has higher obesity rates at 39.5% compared to 25.6% in Washington.
- Disability percentages are the same in both Washington and Kerman at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Kerman |
|---|---|---|
| No Schooling | 0.9% (6,109) | 4.3% (694) |
| High School Diploma | 9.1% (61,269) | 10.4% (1,690) |
| Less than High School | 6.8% (45,577) | 45.2% (7,334) |
| Bachelor's Degree and Higher | 45.2% (303,532) | 7.3% (1,177) |
Education Levels Comparison: Washington vs Kerman
- In Kerman, a larger percentage of residents lack formal schooling at 4.3% compared to 0.9% in Washington.
- In Kerman, the rate of residents with high school diplomas is higher at 10.4% compared to 9.1% in Washington.
- The percentage of residents with less than a high school education is higher in Kerman at 45.2%, compared to 6.8% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 45.2% compared to 7.3% in Kerman.
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.