Demographics details for Grove, OK vs Lumber bridge, NC
Population Overview
Compare main population characteristics in Grove, OK vs Lumber bridge, NC.
Data | Grove | Lumber bridge |
---|---|---|
Population | 7,215 | 82 |
Median Age | 46.9 years | 43.8 years |
Median Income | $56,469 | $61,250 |
Married Families | 44.0% | 38.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Grove vs Lumber bridge
- In Grove, the population is higher at 7,215, compared to 82 in Lumber bridge.
- Residents in Grove have a higher median age of 46.9 years compared to 43.8 years in Lumber bridge.
- Lumber bridge has a higher median income of $61,250, compared to $56,469 in Grove.
- A higher percentage of married families is found in Grove at 44.0% compared to 38.0% in Lumber bridge.
- The poverty level is higher in Lumber bridge at 12%, compared to 11% in Grove.
- Lumber bridge has a higher unemployment rate at 4.6% compared to 3.5% in Grove.
Demographics
Demographics Grove vs Lumber bridge provide insight into the diversity of the communities to compare.
Demographic | Grove | Lumber bridge |
---|---|---|
Black | 1 | 7 |
White | 70 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | Data is updating |
Two or More Races | 11 | Data is updating |
American Indian | 11 | 5 |
Demographics Comparison: Grove vs Lumber bridge
- In Lumber bridge, the percentage of Black residents is higher at 7% compared to 1% in Grove.
- The percentage of White residents is higher in Lumber bridge at 88% compared to 70% in Grove.
- Both Grove and Lumber bridge have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Grove at 7% compared to 0% in Lumber bridge.
- More residents identify as two or more races in Grove at 11% compared to 0% in Lumber bridge.
- A greater percentage of American Indian residents live in Grove at 11% compared to 5% in Lumber bridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grove | Lumber bridge |
---|---|---|
Mental Health Not Good | 18.9% | 17.8% |
Physical Health Not Good | 12.5% | 14.2% |
Depression | 25.4% | 23.8% |
Smoking | 19.6% | 23.0% |
Binge Drinking | 15.1% | 16.2% |
Obesity | 38.3% | 40.5% |
Disability Percentage | 21.0% | 9.0% |
Health Statistics Comparison: Grove vs Lumber bridge
- More residents in Grove report poor mental health at 18.9% compared to 17.8% in Lumber bridge.
- Depression is more prevalent in Grove at 25.4% compared to 23.8% in Lumber bridge.
- Lumber bridge has a higher smoking rate at 23.0% compared to 19.6% in Grove.
- More residents engage in binge drinking in Lumber bridge at 16.2% compared to 15.1% in Grove.
- Lumber bridge has higher obesity rates at 40.5% compared to 38.3% in Grove.
- Disability percentages are higher in Grove at 21.0% compared to 9.0% in Lumber bridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Grove | Lumber bridge |
---|---|---|
No Schooling | 0.3% (20) | 0.0% (Data is updating) |
High School Diploma | 14.8% (1,068) | 32.9% (27) |
Less than High School | 11.5% (832) | 9.8% (8) |
Bachelor's Degree and Higher | 20.3% (1,463) | 7.3% (6) |
Education Levels Comparison: Grove vs Lumber bridge
- A higher percentage of residents in Grove have no formal schooling at 0.3% compared to 0.0% in Lumber bridge.
- In Lumber bridge, the rate of residents with high school diplomas is higher at 32.9% compared to 14.8% in Grove.
- More residents in Grove have less than a high school education at 11.5% compared to 9.8% in Lumber bridge.
- A higher percentage of residents in Grove hold a bachelor's degree or higher at 20.3% compared to 7.3% in Lumber bridge.
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.