Demographics details for Indian trail, NC vs Washington, MO
Population Overview
Compare main population characteristics in Indian trail, NC vs Washington, MO.
Data | Indian trail | Washington |
---|---|---|
Population | 41,724 | 15,075 |
Median Age | 36.1 years | 40.9 years |
Median Income | $95,101 | $75,127 |
Married Families | 45.0% | 41.0% |
Poverty Level | 6% | 8% |
Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Indian trail vs Washington
- In Indian trail, the population is higher at 41,724, compared to 15,075 in Washington.
- The median age in Washington is higher at 40.9 years, compared to 36.1 years in Indian trail.
- Indian trail has a higher median income of $95,101 compared to $75,127 in Washington.
- A higher percentage of married families is found in Indian trail at 45.0% compared to 41.0% in Washington.
- The poverty level is higher in Washington at 8%, compared to 6% in Indian trail.
- The unemployment rate in Indian trail is higher at 3.8%, compared to 2.5% in Washington.
Demographics
Demographics Indian trail vs Washington provide insight into the diversity of the communities to compare.
Demographic | Indian trail | Washington |
---|---|---|
Black | 9 | Data is updating |
White | 71 | 91 |
Asian | 3 | Data is updating |
Hispanic | 11 | 2 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Indian trail vs Washington
- A higher percentage of Black residents are in Indian trail at 9% compared to 0% in Washington.
- The percentage of White residents is higher in Washington at 91% compared to 71% in Indian trail.
- The Asian population is larger in Indian trail at 3% compared to 0% in Washington.
- The Hispanic community is larger in Indian trail at 11% compared to 2% in Washington.
- The percentage of residents identifying as two or more races is higher in Washington at 7%, compared to 6% in Indian trail.
- The percentage of American Indian residents is the same in both Indian trail and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Indian trail | Washington |
---|---|---|
Mental Health Not Good | 14.6% | 16.8% |
Physical Health Not Good | 9.3% | 11.0% |
Depression | 22.0% | 24.6% |
Smoking | 13.5% | 18.3% |
Binge Drinking | 18.5% | 19.8% |
Obesity | 31.2% | 36.6% |
Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Indian trail vs Washington
- In Washington, a higher percentage report poor mental health at 16.8% compared to 14.6% in Indian trail.
- Higher depression rates are seen in Washington at 24.6% versus 22.0% in Indian trail.
- Washington has a higher smoking rate at 18.3% compared to 13.5% in Indian trail.
- More residents engage in binge drinking in Washington at 19.8% compared to 18.5% in Indian trail.
- Washington has higher obesity rates at 36.6% compared to 31.2% in Indian trail.
- There is a higher percentage of disabled individuals in Washington at 14.0% compared to 7.0% in Indian trail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Indian trail | Washington |
---|---|---|
No Schooling | 0.7% (287) | 0.3% (41) |
High School Diploma | 12.8% (5,353) | 15.0% (2,260) |
Less than High School | 6.6% (2,761) | 8.7% (1,311) |
Bachelor's Degree and Higher | 24.4% (10,201) | 18.8% (2,838) |
Education Levels Comparison: Indian trail vs Washington
- A higher percentage of residents in Indian trail have no formal schooling at 0.7% compared to 0.3% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 15.0% compared to 12.8% in Indian trail.
- The percentage of residents with less than a high school education is higher in Washington at 8.7%, compared to 6.6% in Indian trail.
- A higher percentage of residents in Indian trail hold a bachelor's degree or higher at 24.4% compared to 18.8% 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.