Demographics details for Spokane valley, WA vs Elm city, NC
Population Overview
Compare main population characteristics in Spokane valley, WA vs Elm city, NC.
| Data | Spokane valley | Elm city |
|---|---|---|
| Population | 107,325 | 1,204 |
| Median Age | 37.4 years | 48.0 years |
| Median Income | $66,483 | $48,125 |
| Married Families | 37.0% | 43.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.1 | 5.1 |
Population Comparison: Spokane valley vs Elm city
- In Spokane valley, the population is higher at 107,325, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 37.4 years in Spokane valley.
- Spokane valley has a higher median income of $66,483 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 37.0% in Spokane valley.
- The poverty level is higher in Elm city at 15%, compared to 10% in Spokane valley.
- Elm city has a higher unemployment rate at 5.1% compared to 4.1% in Spokane valley.
Demographics
Demographics Spokane valley vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Spokane valley | Elm city |
|---|---|---|
| Black | 1 | 60 |
| White | 82 | 25 |
| Asian | 2 | 3 |
| Hispanic | 7 | 11 |
| Two or More Races | 7 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Spokane valley vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 1% in Spokane valley.
- Spokane valley has a higher percentage of White residents at 82% compared to 25% in Elm city.
- In Elm city, the Asian population stands at 3%, greater than 2% in Spokane valley.
- Elm city has a higher percentage of Hispanic residents at 11%, compared to 7% in Spokane valley.
- More residents identify as two or more races in Spokane valley at 7% compared to 1% in Elm city.
- A greater percentage of American Indian residents live in Spokane valley at 1% compared to 0% in Elm city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spokane valley | Elm city |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.8% |
| Physical Health Not Good | 11.5% | 12.0% |
| Depression | 28.7% | 21.2% |
| Smoking | 15.3% | 18.8% |
| Binge Drinking | 18.5% | 15.7% |
| Obesity | 29.7% | 37.9% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Spokane valley vs Elm city
- More residents in Spokane valley report poor mental health at 18.3% compared to 16.8% in Elm city.
- Depression is more prevalent in Spokane valley at 28.7% compared to 21.2% in Elm city.
- Elm city has a higher smoking rate at 18.8% compared to 15.3% in Spokane valley.
- Binge drinking is more common in Spokane valley at 18.5% compared to 15.7% in Elm city.
- Elm city has higher obesity rates at 37.9% compared to 29.7% in Spokane valley.
- There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 16.0% in Spokane valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spokane valley | Elm city |
|---|---|---|
| No Schooling | 0.6% (596) | 0.7% (8) |
| High School Diploma | 15.6% (16,779) | 24.1% (290) |
| Less than High School | 7.2% (7,741) | 15.1% (182) |
| Bachelor's Degree and Higher | 17.1% (18,346) | 11.5% (139) |
Education Levels Comparison: Spokane valley vs Elm city
- In Elm city, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Spokane valley.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 15.6% in Spokane valley.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, compared to 7.2% in Spokane valley.
- A higher percentage of residents in Spokane valley hold a bachelor's degree or higher at 17.1% compared to 11.5% in Elm city.
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.