Demographics details for Moscow, ID vs Waterproof, LA
Population Overview
Compare main population characteristics in Moscow, ID vs Waterproof, LA.
| Data | Moscow | Waterproof |
|---|---|---|
| Population | 26,249 | 499 |
| Median Age | 24.8 years | 37.0 years |
| Median Income | $53,679 | $21,953 |
| Married Families | 28.0% | 9.0% |
| Poverty Level | 15% | 30% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Moscow vs Waterproof
- In Moscow, the population is higher at 26,249, compared to 499 in Waterproof.
- The median age in Waterproof is higher at 37.0 years, compared to 24.8 years in Moscow.
- Moscow has a higher median income of $53,679 compared to $21,953 in Waterproof.
- A higher percentage of married families is found in Moscow at 28.0% compared to 9.0% in Waterproof.
- The poverty level is higher in Waterproof at 30%, compared to 15% in Moscow.
- Waterproof has a higher unemployment rate at 5.0% compared to 4.2% in Moscow.
Demographics
Demographics Moscow vs Waterproof provide insight into the diversity of the communities to compare.
| Demographic | Moscow | Waterproof |
|---|---|---|
| Black | 2 | 103 |
| White | 83 | -12 |
| Asian | 3 | 7 |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moscow vs Waterproof
- In Waterproof, the percentage of Black residents is higher at 103% compared to 2% in Moscow.
- Moscow has a higher percentage of White residents at 83% compared to -12% in Waterproof.
- In Waterproof, the Asian population stands at 7%, greater than 3% in Moscow.
- The Hispanic community is larger in Moscow at 5% compared to 0% in Waterproof.
- More residents identify as two or more races in Moscow at 6% compared to 2% in Waterproof.
- A greater percentage of American Indian residents live in Moscow at 1% compared to 0% in Waterproof.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moscow | Waterproof |
|---|---|---|
| Mental Health Not Good | 15.4% | 24.5% |
| Physical Health Not Good | 10.6% | 20.0% |
| Depression | 24.5% | 25.1% |
| Smoking | 13.6% | 33.7% |
| Binge Drinking | 17.1% | 11.8% |
| Obesity | 31.2% | 53.1% |
| Disability Percentage | 10.0% | 22.0% |
Health Statistics Comparison: Moscow vs Waterproof
- In Waterproof, a higher percentage report poor mental health at 24.5% compared to 15.4% in Moscow.
- Higher depression rates are seen in Waterproof at 25.1% versus 24.5% in Moscow.
- Waterproof has a higher smoking rate at 33.7% compared to 13.6% in Moscow.
- Binge drinking is more common in Moscow at 17.1% compared to 11.8% in Waterproof.
- Waterproof has higher obesity rates at 53.1% compared to 31.2% in Moscow.
- There is a higher percentage of disabled individuals in Waterproof at 22.0% 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 | Waterproof |
|---|---|---|
| No Schooling | 0.3% (80) | 0.0% (Data is updating) |
| High School Diploma | 5.7% (1,492) | 27.7% (138) |
| Less than High School | 2.0% (515) | 10.6% (53) |
| Bachelor's Degree and Higher | 25.8% (6,776) | 12.8% (64) |
Education Levels Comparison: Moscow vs Waterproof
- A higher percentage of residents in Moscow have no formal schooling at 0.3% compared to 0.0% in Waterproof.
- In Waterproof, the rate of residents with high school diplomas is higher at 27.7% compared to 5.7% in Moscow.
- The percentage of residents with less than a high school education is higher in Waterproof at 10.6%, 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 12.8% in Waterproof.
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.