Demographics details for Bertha, MN vs Locust grove, OK
Population Overview
Compare main population characteristics in Bertha, MN vs Locust grove, OK.
Data | Bertha | Locust grove |
---|---|---|
Population | 554 | 1,387 |
Median Age | 40.1 years | 36.6 years |
Median Income | $51,094 | $41,313 |
Married Families | 29.0% | 34.0% |
Poverty Level | Data is updating | 14% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Bertha vs Locust grove
- The population in Locust grove is higher at 1,387, compared to 554 in Bertha.
- Residents in Bertha have a higher median age of 40.1 years compared to 36.6 years in Locust grove.
- Bertha has a higher median income of $51,094 compared to $41,313 in Locust grove.
- In Locust grove, the percentage of married families is higher at 34.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Locust grove at 14%, compared to 0% in Bertha.
- The unemployment rate is the same in both Bertha and Locust grove at 3.2%.
Demographics
Demographics Bertha vs Locust grove provide insight into the diversity of the communities to compare.
Demographic | Bertha | Locust grove |
---|---|---|
Black | Data is updating | 1 |
White | 95 | 30 |
Asian | Data is updating | 1 |
Hispanic | 1 | 4 |
Two or More Races | 4 | 14 |
American Indian | Data is updating | 50 |
Demographics Comparison: Bertha vs Locust grove
- In Locust grove, the percentage of Black residents is higher at 1% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 30% in Locust grove.
- In Locust grove, the Asian population stands at 1%, greater than 0% in Bertha.
- Locust grove has a higher percentage of Hispanic residents at 4%, compared to 1% in Bertha.
- The percentage of residents identifying as two or more races is higher in Locust grove at 14%, compared to 4% in Bertha.
- In Locust grove, the percentage of American Indian residents is higher at 50%, compared to 0% in Bertha.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bertha | Locust grove |
---|---|---|
Mental Health Not Good | 17.1% | 21.9% |
Physical Health Not Good | 10.8% | 16.5% |
Depression | 25.8% | 27.1% |
Smoking | 21.2% | 27.8% |
Binge Drinking | 19.8% | 13.4% |
Obesity | 39.4% | 44.6% |
Disability Percentage | 20.0% | 24.0% |
Health Statistics Comparison: Bertha vs Locust grove
- In Locust grove, a higher percentage report poor mental health at 21.9% compared to 17.1% in Bertha.
- Higher depression rates are seen in Locust grove at 27.1% versus 25.8% in Bertha.
- Locust grove has a higher smoking rate at 27.8% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 13.4% in Locust grove.
- Locust grove has higher obesity rates at 44.6% compared to 39.4% in Bertha.
- There is a higher percentage of disabled individuals in Locust grove at 24.0% compared to 20.0% in Bertha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bertha | Locust grove |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (4) |
High School Diploma | 14.8% (82) | 20.5% (285) |
Less than High School | 14.3% (79) | 13.1% (182) |
Bachelor's Degree and Higher | 10.6% (59) | 7.1% (98) |
Education Levels Comparison: Bertha vs Locust grove
- In Locust grove, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Bertha.
- In Locust grove, the rate of residents with high school diplomas is higher at 20.5% compared to 14.8% in Bertha.
- More residents in Bertha have less than a high school education at 14.3% compared to 13.1% in Locust grove.
- A higher percentage of residents in Bertha hold a bachelor's degree or higher at 10.6% 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.