Demographics details for Locust grove, OK vs Norfolk, CT
Population Overview
Compare main population characteristics in Locust grove, OK vs Norfolk, CT.
Data | Locust grove | Norfolk |
---|---|---|
Population | 1,387 | 1,685 |
Median Age | 36.6 years | 52.0 years |
Median Income | $41,313 | $76,382 |
Married Families | 34.0% | 44.0% |
Poverty Level | 14% | 4% |
Unemployment Rate | 3.2 | 2.7 |
Population Comparison: Locust grove vs Norfolk
- The population in Norfolk is higher at 1,685, compared to 1,387 in Locust grove.
- The median age in Norfolk is higher at 52.0 years, compared to 36.6 years in Locust grove.
- Norfolk has a higher median income of $76,382, compared to $41,313 in Locust grove.
- In Norfolk, the percentage of married families is higher at 44.0%, compared to 34.0% in Locust grove.
- Locust grove has a higher poverty level at 14% compared to 4% in Norfolk.
- The unemployment rate in Locust grove is higher at 3.2%, compared to 2.7% in Norfolk.
Demographics
Demographics Locust grove vs Norfolk provide insight into the diversity of the communities to compare.
Demographic | Locust grove | Norfolk |
---|---|---|
Black | 1 | Data is updating |
White | 30 | 87 |
Asian | 1 | 1 |
Hispanic | 4 | 4 |
Two or More Races | 14 | 8 |
American Indian | 50 | Data is updating |
Demographics Comparison: Locust grove vs Norfolk
- A higher percentage of Black residents are in Locust grove at 1% compared to 0% in Norfolk.
- The percentage of White residents is higher in Norfolk at 87% compared to 30% in Locust grove.
- Both Locust grove and Norfolk have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Locust grove and Norfolk at 4%.
- More residents identify as two or more races in Locust grove at 14% compared to 8% in Norfolk.
- A greater percentage of American Indian residents live in Locust grove at 50% compared to 0% in Norfolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Locust grove | Norfolk |
---|---|---|
Mental Health Not Good | 21.9% | Data is updating% |
Physical Health Not Good | 16.5% | Data is updating% |
Depression | 27.1% | Data is updating% |
Smoking | 27.8% | Data is updating% |
Binge Drinking | 13.4% | Data is updating% |
Obesity | 44.6% | Data is updating% |
Disability Percentage | 24.0% | 13.0% |
Health Statistics Comparison: Locust grove vs Norfolk
- More residents in Locust grove report poor mental health at 21.9% compared to 0.0% in Norfolk.
- Depression is more prevalent in Locust grove at 27.1% compared to 0.0% in Norfolk.
- Smoking is more prevalent in Locust grove at 27.8% compared to 0.0% in Norfolk.
- Binge drinking is more common in Locust grove at 13.4% compared to 0.0% in Norfolk.
- Obesity rates are higher in Locust grove at 44.6% compared to 0.0% in Norfolk.
- Disability percentages are higher in Locust grove at 24.0% compared to 13.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Locust grove | Norfolk |
---|---|---|
No Schooling | 0.3% (4) | 0.2% (3) |
High School Diploma | 20.5% (285) | 16.3% (275) |
Less than High School | 13.1% (182) | 6.8% (115) |
Bachelor's Degree and Higher | 7.1% (98) | 36.2% (610) |
Education Levels Comparison: Locust grove vs Norfolk
- A higher percentage of residents in Locust grove have no formal schooling at 0.3% compared to 0.2% in Norfolk.
- A higher percentage of residents in Locust grove hold a high school diploma at 20.5% compared to 16.3% in Norfolk.
- More residents in Locust grove have less than a high school education at 13.1% compared to 6.8% in Norfolk.
- In Norfolk, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 7.1% in Locust grove.
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.