Demographics details for Palestine, TX vs Baltimore, MD
Population Overview
Compare main population characteristics in Palestine, TX vs Baltimore, MD.
| Data | Palestine | Baltimore |
|---|---|---|
| Population | 18,981 | 569,931 |
| Median Age | 33.1 years | 36.0 years |
| Median Income | $43,759 | $58,349 |
| Married Families | 36.0% | 23.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 4.1 | 4.3 |
Population Comparison: Palestine vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 18,981 in Palestine.
- The median age in Baltimore is higher at 36.0 years, compared to 33.1 years in Palestine.
- Baltimore has a higher median income of $58,349, compared to $43,759 in Palestine.
- A higher percentage of married families is found in Palestine at 36.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 12% in Palestine.
- Baltimore has a higher unemployment rate at 4.3% compared to 4.1% in Palestine.
Demographics
Demographics Palestine vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Palestine | Baltimore |
|---|---|---|
| Black | 28 | 63 |
| White | 37 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 23 | 6 |
| Two or More Races | 12 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palestine vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 28% in Palestine.
- Palestine has a higher percentage of White residents at 37% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Palestine.
- The Hispanic community is larger in Palestine at 23% compared to 6% in Baltimore.
- More residents identify as two or more races in Palestine at 12% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Palestine and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palestine | Baltimore |
|---|---|---|
| Mental Health Not Good | 20.1% | 17.9% |
| Physical Health Not Good | 14.9% | 12.3% |
| Depression | 24.7% | 20.2% |
| Smoking | 22.9% | 19.8% |
| Binge Drinking | 16.1% | 15.4% |
| Obesity | 44.1% | 37.1% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Palestine vs Baltimore
- More residents in Palestine report poor mental health at 20.1% compared to 17.9% in Baltimore.
- Depression is more prevalent in Palestine at 24.7% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Palestine at 22.9% compared to 19.8% in Baltimore.
- Binge drinking is more common in Palestine at 16.1% compared to 15.4% in Baltimore.
- Obesity rates are higher in Palestine at 44.1% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 15.0% in Palestine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palestine | Baltimore |
|---|---|---|
| No Schooling | 1.7% (323) | 1.2% (6,683) |
| High School Diploma | 18.3% (3,466) | 16.8% (95,744) |
| Less than High School | 11.8% (2,233) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 10.0% (1,897) | 25.1% (143,174) |
Education Levels Comparison: Palestine vs Baltimore
- A higher percentage of residents in Palestine have no formal schooling at 1.7% compared to 1.2% in Baltimore.
- A higher percentage of residents in Palestine hold a high school diploma at 18.3% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 11.8% in Palestine.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 10.0% in Palestine.
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.