Demographics details for Moscow, ID vs Bieber, CA
Population Overview
Compare main population characteristics in Moscow, ID vs Bieber, CA.
| Data | Moscow | Bieber |
|---|---|---|
| Population | 26,249 | 151 |
| Median Age | 24.8 years | 33.6 years |
| Median Income | $53,679 | $46,667 |
| Married Families | 28.0% | 34.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 4.2 | 5.1 |
Population Comparison: Moscow vs Bieber
- In Moscow, the population is higher at 26,249, compared to 151 in Bieber.
- The median age in Bieber is higher at 33.6 years, compared to 24.8 years in Moscow.
- Moscow has a higher median income of $53,679 compared to $46,667 in Bieber.
- In Bieber, the percentage of married families is higher at 34.0%, compared to 28.0% in Moscow.
- Moscow has a higher poverty level at 15% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 4.2% in Moscow.
Demographics
Demographics Moscow vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Moscow | Bieber |
|---|---|---|
| Black | 2 | Data is updating |
| White | 83 | 94 |
| Asian | 3 | Data is updating |
| Hispanic | 5 | 3 |
| Two or More Races | 6 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moscow vs Bieber
- A higher percentage of Black residents are in Moscow at 2% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 83% in Moscow.
- The Asian population is larger in Moscow at 3% compared to 0% in Bieber.
- The Hispanic community is larger in Moscow at 5% compared to 3% in Bieber.
- More residents identify as two or more races in Moscow at 6% compared to 3% in Bieber.
- A greater percentage of American Indian residents live in Moscow at 1% compared to 0% in Bieber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moscow | Bieber |
|---|---|---|
| Mental Health Not Good | 15.4% | 17.6% |
| Physical Health Not Good | 10.6% | 11.9% |
| Depression | 24.5% | 21.1% |
| Smoking | 13.6% | 14.9% |
| Binge Drinking | 17.1% | 18.1% |
| Obesity | 31.2% | 30.8% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Moscow vs Bieber
- In Bieber, a higher percentage report poor mental health at 17.6% compared to 15.4% in Moscow.
- Depression is more prevalent in Moscow at 24.5% compared to 21.1% in Bieber.
- Bieber has a higher smoking rate at 14.9% compared to 13.6% in Moscow.
- More residents engage in binge drinking in Bieber at 18.1% compared to 17.1% in Moscow.
- Obesity rates are higher in Moscow at 31.2% compared to 30.8% in Bieber.
- There is a higher percentage of disabled individuals in Bieber at 19.0% 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 | Bieber |
|---|---|---|
| No Schooling | 0.3% (80) | 0.0% (Data is updating) |
| High School Diploma | 5.7% (1,492) | 13.2% (20) |
| Less than High School | 2.0% (515) | 5.3% (8) |
| Bachelor's Degree and Higher | 25.8% (6,776) | 6.0% (9) |
Education Levels Comparison: Moscow vs Bieber
- A higher percentage of residents in Moscow have no formal schooling at 0.3% compared to 0.0% in Bieber.
- In Bieber, the rate of residents with high school diplomas is higher at 13.2% compared to 5.7% in Moscow.
- The percentage of residents with less than a high school education is higher in Bieber at 5.3%, 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 6.0% in Bieber.
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.