Demographics details for Washington, NC vs New haven, MO
Population Overview
Compare main population characteristics in Washington, NC vs New haven, MO.
| Data | Washington | New haven |
|---|---|---|
| Population | 10,828 | 2,409 |
| Median Age | 48.0 years | 31.2 years |
| Median Income | $38,927 | $66,410 |
| Married Families | 34.0% | 60.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 4.8 | 2.5 |
Population Comparison: Washington vs New haven
- In Washington, the population is higher at 10,828, compared to 2,409 in New haven.
- Residents in Washington have a higher median age of 48.0 years compared to 31.2 years in New haven.
- New haven has a higher median income of $66,410, compared to $38,927 in Washington.
- In New haven, the percentage of married families is higher at 60.0%, compared to 34.0% in Washington.
- Washington has a higher poverty level at 16% compared to 10% in New haven.
- The unemployment rate in Washington is higher at 4.8%, compared to 2.5% in New haven.
Demographics
Demographics Washington vs New haven provide insight into the diversity of the communities to compare.
| Demographic | Washington | New haven |
|---|---|---|
| Black | 49 | 1 |
| White | 41 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 12 |
| Two or More Races | 3 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Washington vs New haven
- A higher percentage of Black residents are in Washington at 49% compared to 1% in New haven.
- The percentage of White residents is higher in New haven at 76% compared to 41% in Washington.
- Both Washington and New haven have the same percentage of Asian residents at 0%.
- New haven has a higher percentage of Hispanic residents at 12%, compared to 6% in Washington.
- The percentage of residents identifying as two or more races is higher in New haven at 11%, compared to 3% in Washington.
- A greater percentage of American Indian residents live in Washington at 1% compared to 0% in New haven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | New haven |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.7% |
| Physical Health Not Good | 13.8% | 10.8% |
| Depression | 22.8% | 24.7% |
| Smoking | 21.9% | 18.0% |
| Binge Drinking | 14.7% | 20.0% |
| Obesity | 43.3% | 36.6% |
| Disability Percentage | 24.0% | 24.0% |
Health Statistics Comparison: Washington vs New haven
- More residents in Washington report poor mental health at 18.3% compared to 16.7% in New haven.
- Higher depression rates are seen in New haven at 24.7% versus 22.8% in Washington.
- Smoking is more prevalent in Washington at 21.9% compared to 18.0% in New haven.
- More residents engage in binge drinking in New haven at 20.0% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 36.6% in New haven.
- Disability percentages are the same in both Washington and New haven at 24.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | New haven |
|---|---|---|
| No Schooling | 1.2% (128) | 0.2% (5) |
| High School Diploma | 19.0% (2,058) | 19.7% (475) |
| Less than High School | 13.7% (1,487) | 12.2% (293) |
| Bachelor's Degree and Higher | 10.3% (1,118) | 24.8% (598) |
Education Levels Comparison: Washington vs New haven
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 0.2% in New haven.
- In New haven, the rate of residents with high school diplomas is higher at 19.7% compared to 19.0% in Washington.
- More residents in Washington have less than a high school education at 13.7% compared to 12.2% in New haven.
- In New haven, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 10.3% in Washington.
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.