Demographics details for Grove, OK vs Palestine, TX
Population Overview
Compare main population characteristics in Grove, OK vs Palestine, TX.
| Data | Grove | Palestine |
|---|---|---|
| Population | 7,215 | 18,981 |
| Median Age | 46.9 years | 33.1 years |
| Median Income | $56,469 | $43,759 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Grove vs Palestine
- The population in Palestine is higher at 18,981, compared to 7,215 in Grove.
- Residents in Grove have a higher median age of 46.9 years compared to 33.1 years in Palestine.
- Grove has a higher median income of $56,469 compared to $43,759 in Palestine.
- A higher percentage of married families is found in Grove at 44.0% compared to 36.0% in Palestine.
- The poverty level is higher in Palestine at 12%, compared to 11% in Grove.
- Palestine has a higher unemployment rate at 4.1% compared to 3.5% in Grove.
Demographics
Demographics Grove vs Palestine provide insight into the diversity of the communities to compare.
| Demographic | Grove | Palestine |
|---|---|---|
| Black | 1 | 28 |
| White | 70 | 37 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 23 |
| Two or More Races | 11 | 12 |
| American Indian | 11 | Data is updating |
Demographics Comparison: Grove vs Palestine
- In Palestine, the percentage of Black residents is higher at 28% compared to 1% in Grove.
- Grove has a higher percentage of White residents at 70% compared to 37% in Palestine.
- Both Grove and Palestine have the same percentage of Asian residents at 0%.
- Palestine has a higher percentage of Hispanic residents at 23%, compared to 7% in Grove.
- The percentage of residents identifying as two or more races is higher in Palestine at 12%, compared to 11% in Grove.
- A greater percentage of American Indian residents live in Grove at 11% compared to 0% in Palestine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grove | Palestine |
|---|---|---|
| Mental Health Not Good | 18.9% | 20.1% |
| Physical Health Not Good | 12.5% | 14.9% |
| Depression | 25.4% | 24.7% |
| Smoking | 19.6% | 22.9% |
| Binge Drinking | 15.1% | 16.1% |
| Obesity | 38.3% | 44.1% |
| Disability Percentage | 21.0% | 15.0% |
Health Statistics Comparison: Grove vs Palestine
- In Palestine, a higher percentage report poor mental health at 20.1% compared to 18.9% in Grove.
- Depression is more prevalent in Grove at 25.4% compared to 24.7% in Palestine.
- Palestine has a higher smoking rate at 22.9% compared to 19.6% in Grove.
- More residents engage in binge drinking in Palestine at 16.1% compared to 15.1% in Grove.
- Palestine has higher obesity rates at 44.1% compared to 38.3% in Grove.
- Disability percentages are higher in Grove at 21.0% 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 | Grove | Palestine |
|---|---|---|
| No Schooling | 0.3% (20) | 1.7% (323) |
| High School Diploma | 14.8% (1,068) | 18.3% (3,466) |
| Less than High School | 11.5% (832) | 11.8% (2,233) |
| Bachelor's Degree and Higher | 20.3% (1,463) | 10.0% (1,897) |
Education Levels Comparison: Grove vs Palestine
- In Palestine, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Grove.
- In Palestine, the rate of residents with high school diplomas is higher at 18.3% compared to 14.8% in Grove.
- The percentage of residents with less than a high school education is higher in Palestine at 11.8%, compared to 11.5% in Grove.
- A higher percentage of residents in Grove hold a bachelor's degree or higher at 20.3% 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.