Demographics details for Holiday, FL vs Baltimore, MD
Population Overview
Compare main population characteristics in Holiday, FL vs Baltimore, MD.
Data | Holiday | Baltimore |
---|---|---|
Population | 21,495 | 569,931 |
Median Age | 43.9 years | 36.0 years |
Median Income | $40,852 | $58,349 |
Married Families | 31.0% | 23.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 3.2 | 4.3 |
Population Comparison: Holiday vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 21,495 in Holiday.
- Residents in Holiday have a higher median age of 43.9 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $40,852 in Holiday.
- A higher percentage of married families is found in Holiday at 31.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 13% in Holiday.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.2% in Holiday.
Demographics
Demographics Holiday vs Baltimore provide insight into the diversity of the communities to compare.
Demographic | Holiday | Baltimore |
---|---|---|
Black | 9 | 63 |
White | 61 | 23 |
Asian | 1 | 3 |
Hispanic | 18 | 6 |
Two or More Races | 11 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Holiday vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 9% in Holiday.
- Holiday has a higher percentage of White residents at 61% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 1% in Holiday.
- The Hispanic community is larger in Holiday at 18% compared to 6% in Baltimore.
- More residents identify as two or more races in Holiday at 11% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Holiday and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Holiday | Baltimore |
---|---|---|
Mental Health Not Good | 18.6% | 17.9% |
Physical Health Not Good | 13.7% | 12.3% |
Depression | 24.5% | 20.2% |
Smoking | 27.9% | 19.8% |
Binge Drinking | 16.9% | 15.4% |
Obesity | 33.6% | 37.1% |
Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Holiday vs Baltimore
- More residents in Holiday report poor mental health at 18.6% compared to 17.9% in Baltimore.
- Depression is more prevalent in Holiday at 24.5% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Holiday at 27.9% compared to 19.8% in Baltimore.
- Binge drinking is more common in Holiday at 16.9% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 33.6% in Holiday.
- Disability percentages are higher in Holiday at 18.0% compared to 16.0% in Baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Holiday | Baltimore |
---|---|---|
No Schooling | 1.0% (217) | 1.2% (6,683) |
High School Diploma | 34.2% (7,351) | 16.8% (95,744) |
Less than High School | 15.3% (3,281) | 11.9% (67,970) |
Bachelor's Degree and Higher | 8.5% (1,817) | 25.1% (143,174) |
Education Levels Comparison: Holiday vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Holiday.
- A higher percentage of residents in Holiday hold a high school diploma at 34.2% compared to 16.8% in Baltimore.
- More residents in Holiday have less than a high school education at 15.3% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 8.5% in Holiday.
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.