Demographics details for Washington, NC vs Elk horn, IA
Population Overview
Compare main population characteristics in Washington, NC vs Elk horn, IA.
| Data | Washington | Elk horn |
|---|---|---|
| Population | 10,828 | 619 |
| Median Age | 48.0 years | 49.9 years |
| Median Income | $38,927 | $59,306 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 16% | 9% |
| Unemployment Rate | 4.8 | 3.6 |
Population Comparison: Washington vs Elk horn
- In Washington, the population is higher at 10,828, compared to 619 in Elk horn.
- The median age in Elk horn is higher at 49.9 years, compared to 48.0 years in Washington.
- Elk horn has a higher median income of $59,306, compared to $38,927 in Washington.
- In Elk horn, the percentage of married families is higher at 35.0%, compared to 34.0% in Washington.
- Washington has a higher poverty level at 16% compared to 9% in Elk horn.
- The unemployment rate in Washington is higher at 4.8%, compared to 3.6% in Elk horn.
Demographics
Demographics Washington vs Elk horn provide insight into the diversity of the communities to compare.
| Demographic | Washington | Elk horn |
|---|---|---|
| Black | 49 | Data is updating |
| White | 41 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 5 |
| Two or More Races | 3 | 1 |
| American Indian | 1 | 1 |
Demographics Comparison: Washington vs Elk horn
- A higher percentage of Black residents are in Washington at 49% compared to 0% in Elk horn.
- The percentage of White residents is higher in Elk horn at 93% compared to 41% in Washington.
- Both Washington and Elk horn have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Washington at 6% compared to 5% in Elk horn.
- More residents identify as two or more races in Washington at 3% compared to 1% in Elk horn.
- The percentage of American Indian residents is the same in both Washington and Elk horn at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Elk horn |
|---|---|---|
| Mental Health Not Good | 18.3% | 14.8% |
| Physical Health Not Good | 13.8% | 9.0% |
| Depression | 22.8% | 18.0% |
| Smoking | 21.9% | 16.3% |
| Binge Drinking | 14.7% | 22.9% |
| Obesity | 43.3% | 35.9% |
| Disability Percentage | 24.0% | 8.0% |
Health Statistics Comparison: Washington vs Elk horn
- More residents in Washington report poor mental health at 18.3% compared to 14.8% in Elk horn.
- Depression is more prevalent in Washington at 22.8% compared to 18.0% in Elk horn.
- Smoking is more prevalent in Washington at 21.9% compared to 16.3% in Elk horn.
- More residents engage in binge drinking in Elk horn at 22.9% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 35.9% in Elk horn.
- Disability percentages are higher in Washington at 24.0% compared to 8.0% in Elk horn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Elk horn |
|---|---|---|
| No Schooling | 1.2% (128) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (2,058) | 18.9% (117) |
| Less than High School | 13.7% (1,487) | 7.1% (44) |
| Bachelor's Degree and Higher | 10.3% (1,118) | 15.3% (95) |
Education Levels Comparison: Washington vs Elk horn
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 0.0% in Elk horn.
- A higher percentage of residents in Washington hold a high school diploma at 19.0% compared to 18.9% in Elk horn.
- More residents in Washington have less than a high school education at 13.7% compared to 7.1% in Elk horn.
- In Elk horn, a larger share of residents have a bachelor's degree or higher at 15.3% 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.