Demographics details for Baton rouge, LA vs Moscow, ID
Population Overview
Compare main population characteristics in Baton rouge, LA vs Moscow, ID.
| Data | Baton rouge | Moscow |
|---|---|---|
| Population | 221,453 | 26,249 |
| Median Age | 31.9 years | 24.8 years |
| Median Income | $50,155 | $53,679 |
| Married Families | 25.0% | 28.0% |
| Poverty Level | 20% | 15% |
| Unemployment Rate | 4.7 | 4.2 |
Population Comparison: Baton rouge vs Moscow
- In Baton rouge, the population is higher at 221,453, compared to 26,249 in Moscow.
- Residents in Baton rouge have a higher median age of 31.9 years compared to 24.8 years in Moscow.
- Moscow has a higher median income of $53,679, compared to $50,155 in Baton rouge.
- In Moscow, the percentage of married families is higher at 28.0%, compared to 25.0% in Baton rouge.
- Baton rouge has a higher poverty level at 20% compared to 15% in Moscow.
- The unemployment rate in Baton rouge is higher at 4.7%, compared to 4.2% in Moscow.
Demographics
Demographics Baton rouge vs Moscow provide insight into the diversity of the communities to compare.
| Demographic | Baton rouge | Moscow |
|---|---|---|
| Black | 53 | 2 |
| White | 35 | 83 |
| Asian | 4 | 3 |
| Hispanic | 4 | 5 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Baton rouge vs Moscow
- A higher percentage of Black residents are in Baton rouge at 53% compared to 2% in Moscow.
- The percentage of White residents is higher in Moscow at 83% compared to 35% in Baton rouge.
- The Asian population is larger in Baton rouge at 4% compared to 3% in Moscow.
- Moscow has a higher percentage of Hispanic residents at 5%, compared to 4% in Baton rouge.
- The percentage of residents identifying as two or more races is higher in Moscow at 6%, compared to 4% in Baton rouge.
- In Moscow, the percentage of American Indian residents is higher at 1%, compared to 0% in Baton rouge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baton rouge | Moscow |
|---|---|---|
| Mental Health Not Good | 19.5% | 15.4% |
| Physical Health Not Good | 13.5% | 10.6% |
| Depression | 25.3% | 24.5% |
| Smoking | 21.8% | 13.6% |
| Binge Drinking | 15.9% | 17.1% |
| Obesity | 39.3% | 31.2% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Baton rouge vs Moscow
- More residents in Baton rouge report poor mental health at 19.5% compared to 15.4% in Moscow.
- Depression is more prevalent in Baton rouge at 25.3% compared to 24.5% in Moscow.
- Smoking is more prevalent in Baton rouge at 21.8% compared to 13.6% in Moscow.
- More residents engage in binge drinking in Moscow at 17.1% compared to 15.9% in Baton rouge.
- Obesity rates are higher in Baton rouge at 39.3% compared to 31.2% in Moscow.
- Disability percentages are higher in Baton rouge at 17.0% 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 | Baton rouge | Moscow |
|---|---|---|
| No Schooling | 1.0% (2,299) | 0.3% (80) |
| High School Diploma | 13.9% (30,876) | 5.7% (1,492) |
| Less than High School | 9.0% (19,945) | 2.0% (515) |
| Bachelor's Degree and Higher | 22.4% (49,640) | 25.8% (6,776) |
Education Levels Comparison: Baton rouge vs Moscow
- A higher percentage of residents in Baton rouge have no formal schooling at 1.0% compared to 0.3% in Moscow.
- A higher percentage of residents in Baton rouge hold a high school diploma at 13.9% compared to 5.7% in Moscow.
- More residents in Baton rouge have less than a high school education at 9.0% 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 22.4% in Baton rouge.
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.