Demographics details for Washington, IN vs Falls city, NE
Population Overview
Compare main population characteristics in Washington, IN vs Falls city, NE.
Data | Washington | Falls city |
---|---|---|
Population | 12,171 | 4,052 |
Median Age | 37.0 years | 40.6 years |
Median Income | $48,255 | $40,222 |
Married Families | 38.0% | 38.0% |
Poverty Level | 12% | 13% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Washington vs Falls city
- In Washington, the population is higher at 12,171, compared to 4,052 in Falls city.
- The median age in Falls city is higher at 40.6 years, compared to 37.0 years in Washington.
- Washington has a higher median income of $48,255 compared to $40,222 in Falls city.
- The percentage of married families is the same in both Washington and Falls city at 38.0%.
- The poverty level is higher in Falls city at 13%, compared to 12% in Washington.
- Falls city has a higher unemployment rate at 3.5% compared to 3.2% in Washington.
Demographics
Demographics Washington vs Falls city provide insight into the diversity of the communities to compare.
Demographic | Washington | Falls city |
---|---|---|
Black | 4 | 1 |
White | 76 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | Data is updating |
Two or More Races | 8 | 5 |
American Indian | Data is updating | 3 |
Demographics Comparison: Washington vs Falls city
- A higher percentage of Black residents are in Washington at 4% compared to 1% in Falls city.
- The percentage of White residents is higher in Falls city at 91% compared to 76% in Washington.
- Both Washington and Falls city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Washington at 12% compared to 0% in Falls city.
- More residents identify as two or more races in Washington at 8% compared to 5% in Falls city.
- In Falls city, the percentage of American Indian residents is higher at 3%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Falls city |
---|---|---|
Mental Health Not Good | 18.7% | 14.9% |
Physical Health Not Good | 13.5% | 10.9% |
Depression | 27.6% | 17.2% |
Smoking | 23.3% | 19.3% |
Binge Drinking | 16.3% | 20.4% |
Obesity | 36.4% | 43.9% |
Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Washington vs Falls city
- More residents in Washington report poor mental health at 18.7% compared to 14.9% in Falls city.
- Depression is more prevalent in Washington at 27.6% compared to 17.2% in Falls city.
- Smoking is more prevalent in Washington at 23.3% compared to 19.3% in Falls city.
- More residents engage in binge drinking in Falls city at 20.4% compared to 16.3% in Washington.
- Falls city has higher obesity rates at 43.9% compared to 36.4% in Washington.
- Disability percentages are higher in Washington at 16.0% compared to 14.0% in Falls city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Falls city |
---|---|---|
No Schooling | 1.3% (163) | 0.0% (Data is updating) |
High School Diploma | 22.8% (2,771) | 26.2% (1,063) |
Less than High School | 20.2% (2,460) | 8.6% (349) |
Bachelor's Degree and Higher | 9.3% (1,129) | 14.8% (598) |
Education Levels Comparison: Washington vs Falls city
- A higher percentage of residents in Washington have no formal schooling at 1.3% compared to 0.0% in Falls city.
- In Falls city, the rate of residents with high school diplomas is higher at 26.2% compared to 22.8% in Washington.
- More residents in Washington have less than a high school education at 20.2% compared to 8.6% in Falls city.
- In Falls city, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 9.3% 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.