Demographics details for Baton rouge, LA vs Orlando, FL
Population Overview
Compare main population characteristics in Baton rouge, LA vs Orlando, FL.
Data | Baton rouge | Orlando |
---|---|---|
Population | 221,453 | 316,081 |
Median Age | 31.9 years | 34.7 years |
Median Income | $50,155 | $66,292 |
Married Families | 25.0% | 31.0% |
Poverty Level | 20% | 12% |
Unemployment Rate | 4.7 | 3.2 |
Population Comparison: Baton rouge vs Orlando
- The population in Orlando is higher at 316,081, compared to 221,453 in Baton rouge.
- The median age in Orlando is higher at 34.7 years, compared to 31.9 years in Baton rouge.
- Orlando has a higher median income of $66,292, compared to $50,155 in Baton rouge.
- In Orlando, the percentage of married families is higher at 31.0%, compared to 25.0% in Baton rouge.
- Baton rouge has a higher poverty level at 20% compared to 12% in Orlando.
- The unemployment rate in Baton rouge is higher at 4.7%, compared to 3.2% in Orlando.
Demographics
Demographics Baton rouge vs Orlando provide insight into the diversity of the communities to compare.
Demographic | Baton rouge | Orlando |
---|---|---|
Black | 53 | 23 |
White | 35 | 23 |
Asian | 4 | 4 |
Hispanic | 4 | 34 |
Two or More Races | 4 | 16 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Baton rouge vs Orlando
- A higher percentage of Black residents are in Baton rouge at 53% compared to 23% in Orlando.
- Baton rouge has a higher percentage of White residents at 35% compared to 23% in Orlando.
- Both Baton rouge and Orlando have the same percentage of Asian residents at 4%.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 4% in Baton rouge.
- The percentage of residents identifying as two or more races is higher in Orlando at 16%, compared to 4% in Baton rouge.
- The percentage of American Indian residents is the same in both Baton rouge and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Baton rouge | Orlando |
---|---|---|
Mental Health Not Good | 19.5% | 15.5% |
Physical Health Not Good | 13.5% | 11.5% |
Depression | 25.3% | 17.2% |
Smoking | 21.8% | 17.7% |
Binge Drinking | 15.9% | 14.1% |
Obesity | 39.3% | 31.1% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Baton rouge vs Orlando
- More residents in Baton rouge report poor mental health at 19.5% compared to 15.5% in Orlando.
- Depression is more prevalent in Baton rouge at 25.3% compared to 17.2% in Orlando.
- Smoking is more prevalent in Baton rouge at 21.8% compared to 17.7% in Orlando.
- Binge drinking is more common in Baton rouge at 15.9% compared to 14.1% in Orlando.
- Obesity rates are higher in Baton rouge at 39.3% compared to 31.1% in Orlando.
- Disability percentages are higher in Baton rouge at 17.0% compared to 9.0% in Orlando.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Baton rouge | Orlando |
---|---|---|
No Schooling | 1.0% (2,299) | 1.1% (3,445) |
High School Diploma | 13.9% (30,876) | 13.7% (43,377) |
Less than High School | 9.0% (19,945) | 9.2% (29,000) |
Bachelor's Degree and Higher | 22.4% (49,640) | 28.8% (90,981) |
Education Levels Comparison: Baton rouge vs Orlando
- In Orlando, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Baton rouge.
- A higher percentage of residents in Baton rouge hold a high school diploma at 13.9% compared to 13.7% in Orlando.
- The percentage of residents with less than a high school education is higher in Orlando at 9.2%, compared to 9.0% in Baton rouge.
- In Orlando, a larger share of residents have a bachelor's degree or higher at 28.8% 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.