Demographics details for Henryetta, OK vs Mountain grove, MO
Population Overview
Compare main population characteristics in Henryetta, OK vs Mountain grove, MO.
Data | Henryetta | Mountain grove |
---|---|---|
Population | 5,625 | 4,551 |
Median Age | 39.3 years | 42.3 years |
Median Income | $42,513 | $38,103 |
Married Families | 35.0% | 35.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Henryetta vs Mountain grove
- In Henryetta, the population is higher at 5,625, compared to 4,551 in Mountain grove.
- The median age in Mountain grove is higher at 42.3 years, compared to 39.3 years in Henryetta.
- Henryetta has a higher median income of $42,513 compared to $38,103 in Mountain grove.
- The percentage of married families is the same in both Henryetta and Mountain grove at 35.0%.
- The poverty level is identical in both Henryetta and Mountain grove at 15%.
- Mountain grove has a higher unemployment rate at 4.5% compared to 4.2% in Henryetta.
Demographics
Demographics Henryetta vs Mountain grove provide insight into the diversity of the communities to compare.
Demographic | Henryetta | Mountain grove |
---|---|---|
Black | 2 | Data is updating |
White | 67 | 89 |
Asian | Data is updating | 1 |
Hispanic | 4 | 2 |
Two or More Races | 13 | 8 |
American Indian | 14 | Data is updating |
Demographics Comparison: Henryetta vs Mountain grove
- A higher percentage of Black residents are in Henryetta at 2% compared to 0% in Mountain grove.
- The percentage of White residents is higher in Mountain grove at 89% compared to 67% in Henryetta.
- In Mountain grove, the Asian population stands at 1%, greater than 0% in Henryetta.
- The Hispanic community is larger in Henryetta at 4% compared to 2% in Mountain grove.
- More residents identify as two or more races in Henryetta at 13% compared to 8% in Mountain grove.
- A greater percentage of American Indian residents live in Henryetta at 14% compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Henryetta | Mountain grove |
---|---|---|
Mental Health Not Good | 21.4% | 22.5% |
Physical Health Not Good | 15.6% | 18.1% |
Depression | 27.8% | 28.4% |
Smoking | 25.7% | 31.2% |
Binge Drinking | 13.6% | 14.8% |
Obesity | 43.3% | 44.6% |
Disability Percentage | 22.0% | 24.0% |
Health Statistics Comparison: Henryetta vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 21.4% in Henryetta.
- Higher depression rates are seen in Mountain grove at 28.4% versus 27.8% in Henryetta.
- Mountain grove has a higher smoking rate at 31.2% compared to 25.7% in Henryetta.
- More residents engage in binge drinking in Mountain grove at 14.8% compared to 13.6% in Henryetta.
- Mountain grove has higher obesity rates at 44.6% compared to 43.3% in Henryetta.
- There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 22.0% in Henryetta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Henryetta | Mountain grove |
---|---|---|
No Schooling | 2.0% (114) | 0.6% (26) |
High School Diploma | 20.9% (1,178) | 27.6% (1,256) |
Less than High School | 23.8% (1,338) | 23.2% (1,057) |
Bachelor's Degree and Higher | 10.2% (574) | 8.8% (400) |
Education Levels Comparison: Henryetta vs Mountain grove
- A higher percentage of residents in Henryetta have no formal schooling at 2.0% compared to 0.6% in Mountain grove.
- In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 20.9% in Henryetta.
- More residents in Henryetta have less than a high school education at 23.8% compared to 23.2% in Mountain grove.
- A higher percentage of residents in Henryetta hold a bachelor's degree or higher at 10.2% compared to 8.8% in Mountain 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.