Demographics details for Moscow, ID vs Frankfort, MI
Population Overview
Compare main population characteristics in Moscow, ID vs Frankfort, MI.
| Data | Moscow | Frankfort |
|---|---|---|
| Population | 26,249 | 1,272 |
| Median Age | 24.8 years | 61.1 years |
| Median Income | $53,679 | $49,219 |
| Married Families | 28.0% | 36.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Moscow vs Frankfort
- In Moscow, the population is higher at 26,249, compared to 1,272 in Frankfort.
- The median age in Frankfort is higher at 61.1 years, compared to 24.8 years in Moscow.
- Moscow has a higher median income of $53,679 compared to $49,219 in Frankfort.
- In Frankfort, the percentage of married families is higher at 36.0%, compared to 28.0% in Moscow.
- Moscow has a higher poverty level at 15% compared to 10% in Frankfort.
- The unemployment rate in Moscow is higher at 4.2%, compared to 3.5% in Frankfort.
Demographics
Demographics Moscow vs Frankfort provide insight into the diversity of the communities to compare.
| Demographic | Moscow | Frankfort |
|---|---|---|
| Black | 2 | 4 |
| White | 83 | 93 |
| Asian | 3 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moscow vs Frankfort
- In Frankfort, the percentage of Black residents is higher at 4% compared to 2% in Moscow.
- The percentage of White residents is higher in Frankfort at 93% compared to 83% in Moscow.
- The Asian population is larger in Moscow at 3% compared to 0% in Frankfort.
- The Hispanic community is larger in Moscow at 5% compared to 0% in Frankfort.
- More residents identify as two or more races in Moscow at 6% compared to 3% in Frankfort.
- A greater percentage of American Indian residents live in Moscow at 1% compared to 0% in Frankfort.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moscow | Frankfort |
|---|---|---|
| Mental Health Not Good | 15.4% | 16.5% |
| Physical Health Not Good | 10.6% | 10.4% |
| Depression | 24.5% | 25.6% |
| Smoking | 13.6% | 16.8% |
| Binge Drinking | 17.1% | 18.6% |
| Obesity | 31.2% | 33.7% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Moscow vs Frankfort
- In Frankfort, a higher percentage report poor mental health at 16.5% compared to 15.4% in Moscow.
- Higher depression rates are seen in Frankfort at 25.6% versus 24.5% in Moscow.
- Frankfort has a higher smoking rate at 16.8% compared to 13.6% in Moscow.
- More residents engage in binge drinking in Frankfort at 18.6% compared to 17.1% in Moscow.
- Frankfort has higher obesity rates at 33.7% compared to 31.2% in Moscow.
- There is a higher percentage of disabled individuals in Frankfort at 16.0% 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 | Frankfort |
|---|---|---|
| No Schooling | 0.3% (80) | 2.8% (35) |
| High School Diploma | 5.7% (1,492) | 19.2% (244) |
| Less than High School | 2.0% (515) | 19.0% (242) |
| Bachelor's Degree and Higher | 25.8% (6,776) | 27.1% (345) |
Education Levels Comparison: Moscow vs Frankfort
- In Frankfort, a larger percentage of residents lack formal schooling at 2.8% compared to 0.3% in Moscow.
- In Frankfort, the rate of residents with high school diplomas is higher at 19.2% compared to 5.7% in Moscow.
- The percentage of residents with less than a high school education is higher in Frankfort at 19.0%, compared to 2.0% in Moscow.
- In Frankfort, a larger share of residents have a bachelor's degree or higher at 27.1% compared to 25.8% in Moscow.
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.