Demographics details for Lawrence, NY vs Palestine, TX
Population Overview
Compare main population characteristics in Lawrence, NY vs Palestine, TX.
| Data | Lawrence | Palestine |
|---|---|---|
| Population | 6,745 | 18,981 |
| Median Age | 32.5 years | 33.1 years |
| Median Income | $169,029 | $43,759 |
| Married Families | 45.0% | 36.0% |
| Poverty Level | 2% | 12% |
| Unemployment Rate | 5.0 | 4.1 |
Population Comparison: Lawrence vs Palestine
- The population in Palestine is higher at 18,981, compared to 6,745 in Lawrence.
- The median age in Palestine is higher at 33.1 years, compared to 32.5 years in Lawrence.
- Lawrence has a higher median income of $169,029 compared to $43,759 in Palestine.
- A higher percentage of married families is found in Lawrence at 45.0% compared to 36.0% in Palestine.
- The poverty level is higher in Palestine at 12%, compared to 2% in Lawrence.
- The unemployment rate in Lawrence is higher at 5.0%, compared to 4.1% in Palestine.
Demographics
Demographics Lawrence vs Palestine provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Palestine |
|---|---|---|
| Black | Data is updating | 28 |
| White | 95 | 37 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 23 |
| Two or More Races | 2 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lawrence vs Palestine
- In Palestine, the percentage of Black residents is higher at 28% compared to 0% in Lawrence.
- Lawrence has a higher percentage of White residents at 95% compared to 37% in Palestine.
- The Asian population is larger in Lawrence at 1% compared to 0% in Palestine.
- Palestine has a higher percentage of Hispanic residents at 23%, compared to 2% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Palestine at 12%, compared to 2% in Lawrence.
- The percentage of American Indian residents is the same in both Lawrence and Palestine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Palestine |
|---|---|---|
| Mental Health Not Good | 12.6% | 20.1% |
| Physical Health Not Good | 7.1% | 14.9% |
| Depression | 17.3% | 24.7% |
| Smoking | 9.0% | 22.9% |
| Binge Drinking | 19.1% | 16.1% |
| Obesity | 25.3% | 44.1% |
| Disability Percentage | 6.0% | 15.0% |
Health Statistics Comparison: Lawrence vs Palestine
- In Palestine, a higher percentage report poor mental health at 20.1% compared to 12.6% in Lawrence.
- Higher depression rates are seen in Palestine at 24.7% versus 17.3% in Lawrence.
- Palestine has a higher smoking rate at 22.9% compared to 9.0% in Lawrence.
- Binge drinking is more common in Lawrence at 19.1% compared to 16.1% in Palestine.
- Palestine has higher obesity rates at 44.1% compared to 25.3% in Lawrence.
- There is a higher percentage of disabled individuals in Palestine at 15.0% compared to 6.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Palestine |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (323) |
| High School Diploma | 4.2% (283) | 18.3% (3,466) |
| Less than High School | 3.7% (252) | 11.8% (2,233) |
| Bachelor's Degree and Higher | 41.9% (2,824) | 10.0% (1,897) |
Education Levels Comparison: Lawrence vs Palestine
- In Palestine, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Lawrence.
- In Palestine, the rate of residents with high school diplomas is higher at 18.3% compared to 4.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Palestine at 11.8%, compared to 3.7% in Lawrence.
- A higher percentage of residents in Lawrence hold a bachelor's degree or higher at 41.9% 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.