Demographics details for Fountain run, KY vs Moscow, ID
Population Overview
Compare main population characteristics in Fountain run, KY vs Moscow, ID.
| Data | Fountain run | Moscow |
|---|---|---|
| Population | 221 | 26,249 |
| Median Age | 49.1 years | 24.8 years |
| Median Income | $38,750 | $53,679 |
| Married Families | 62.0% | 28.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Fountain run vs Moscow
- The population in Moscow is higher at 26,249, compared to 221 in Fountain run.
- Residents in Fountain run have a higher median age of 49.1 years compared to 24.8 years in Moscow.
- Moscow has a higher median income of $53,679, compared to $38,750 in Fountain run.
- A higher percentage of married families is found in Fountain run at 62.0% compared to 28.0% in Moscow.
- The poverty level is higher in Moscow at 15%, compared to 12% in Fountain run.
- Moscow has a higher unemployment rate at 4.2% compared to 3.2% in Fountain run.
Demographics
Demographics Fountain run vs Moscow provide insight into the diversity of the communities to compare.
| Demographic | Fountain run | Moscow |
|---|---|---|
| Black | 1 | 2 |
| White | 99 | 83 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Fountain run vs Moscow
- In Moscow, the percentage of Black residents is higher at 2% compared to 1% in Fountain run.
- Fountain run has a higher percentage of White residents at 99% compared to 83% in Moscow.
- In Moscow, the Asian population stands at 3%, greater than 0% in Fountain run.
- Moscow has a higher percentage of Hispanic residents at 5%, compared to 0% in Fountain run.
- The percentage of residents identifying as two or more races is higher in Moscow at 6%, compared to 0% in Fountain run.
- In Moscow, the percentage of American Indian residents is higher at 1%, compared to 0% in Fountain run.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fountain run | Moscow |
|---|---|---|
| Mental Health Not Good | 22.1% | 15.4% |
| Physical Health Not Good | 17.4% | 10.6% |
| Depression | 30.6% | 24.5% |
| Smoking | 29.1% | 13.6% |
| Binge Drinking | 14.2% | 17.1% |
| Obesity | 41.1% | 31.2% |
| Disability Percentage | 24.0% | 10.0% |
Health Statistics Comparison: Fountain run vs Moscow
- More residents in Fountain run report poor mental health at 22.1% compared to 15.4% in Moscow.
- Depression is more prevalent in Fountain run at 30.6% compared to 24.5% in Moscow.
- Smoking is more prevalent in Fountain run at 29.1% compared to 13.6% in Moscow.
- More residents engage in binge drinking in Moscow at 17.1% compared to 14.2% in Fountain run.
- Obesity rates are higher in Fountain run at 41.1% compared to 31.2% in Moscow.
- Disability percentages are higher in Fountain run at 24.0% 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 | Fountain run | Moscow |
|---|---|---|
| No Schooling | 1.8% (4) | 0.3% (80) |
| High School Diploma | 42.1% (93) | 5.7% (1,492) |
| Less than High School | 48.9% (108) | 2.0% (515) |
| Bachelor's Degree and Higher | 10.9% (24) | 25.8% (6,776) |
Education Levels Comparison: Fountain run vs Moscow
- A higher percentage of residents in Fountain run have no formal schooling at 1.8% compared to 0.3% in Moscow.
- A higher percentage of residents in Fountain run hold a high school diploma at 42.1% compared to 5.7% in Moscow.
- More residents in Fountain run have less than a high school education at 48.9% compared to 2.0% in Moscow.
- In Moscow, a larger share of residents have a bachelor's degree or higher at 25.8% compared to 10.9% in Fountain run.
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.