Demographics details for Moscow, ID vs Davenport, WA
Population Overview
Compare main population characteristics in Moscow, ID vs Davenport, WA.
| Data | Moscow | Davenport |
|---|---|---|
| Population | 26,249 | 1,778 |
| Median Age | 24.8 years | 36.2 years |
| Median Income | $53,679 | $71,486 |
| Married Families | 28.0% | 48.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Moscow vs Davenport
- In Moscow, the population is higher at 26,249, compared to 1,778 in Davenport.
- The median age in Davenport is higher at 36.2 years, compared to 24.8 years in Moscow.
- Davenport has a higher median income of $71,486, compared to $53,679 in Moscow.
- In Davenport, the percentage of married families is higher at 48.0%, compared to 28.0% in Moscow.
- Moscow has a higher poverty level at 15% compared to 10% in Davenport.
- The unemployment rate in Moscow is higher at 4.2%, compared to 3.2% in Davenport.
Demographics
Demographics Moscow vs Davenport provide insight into the diversity of the communities to compare.
| Demographic | Moscow | Davenport |
|---|---|---|
| Black | 2 | 2 |
| White | 83 | 83 |
| Asian | 3 | 2 |
| Hispanic | 5 | 7 |
| Two or More Races | 6 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moscow vs Davenport
- The percentage of Black residents is the same in both Moscow and Davenport at 2%.
- The percentage of White residents is the same in both Moscow and Davenport at 83%.
- The Asian population is larger in Moscow at 3% compared to 2% in Davenport.
- Davenport has a higher percentage of Hispanic residents at 7%, compared to 5% in Moscow.
- Both Moscow and Davenport have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Moscow at 1% compared to 0% in Davenport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moscow | Davenport |
|---|---|---|
| Mental Health Not Good | 15.4% | 17.6% |
| Physical Health Not Good | 10.6% | 11.5% |
| Depression | 24.5% | 27.3% |
| Smoking | 13.6% | 15.5% |
| Binge Drinking | 17.1% | 18.8% |
| Obesity | 31.2% | 31.8% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Moscow vs Davenport
- In Davenport, a higher percentage report poor mental health at 17.6% compared to 15.4% in Moscow.
- Higher depression rates are seen in Davenport at 27.3% versus 24.5% in Moscow.
- Davenport has a higher smoking rate at 15.5% compared to 13.6% in Moscow.
- More residents engage in binge drinking in Davenport at 18.8% compared to 17.1% in Moscow.
- Davenport has higher obesity rates at 31.8% compared to 31.2% in Moscow.
- There is a higher percentage of disabled individuals in Davenport at 18.0% compared to 10.0% in Moscow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moscow | Davenport |
|---|---|---|
| No Schooling | 0.3% (80) | 0.0% (Data is updating) |
| High School Diploma | 5.7% (1,492) | 14.5% (258) |
| Less than High School | 2.0% (515) | 8.2% (145) |
| Bachelor's Degree and Higher | 25.8% (6,776) | 16.4% (292) |
Education Levels Comparison: Moscow vs Davenport
- A higher percentage of residents in Moscow have no formal schooling at 0.3% compared to 0.0% in Davenport.
- In Davenport, the rate of residents with high school diplomas is higher at 14.5% compared to 5.7% in Moscow.
- The percentage of residents with less than a high school education is higher in Davenport at 8.2%, compared to 2.0% in Moscow.
- A higher percentage of residents in Moscow hold a bachelor's degree or higher at 25.8% compared to 16.4% in Davenport.
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.