Demographics details for Firth, NE vs Mountain grove, MO
Population Overview
Compare main population characteristics in Firth, NE vs Mountain grove, MO.
Data | Firth | Mountain grove |
---|---|---|
Population | 654 | 4,551 |
Median Age | 37.0 years | 42.3 years |
Median Income | $86,042 | $38,103 |
Married Families | 38.0% | 35.0% |
Poverty Level | 5% | 15% |
Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Firth vs Mountain grove
- The population in Mountain grove is higher at 4,551, compared to 654 in Firth.
- The median age in Mountain grove is higher at 42.3 years, compared to 37.0 years in Firth.
- Firth has a higher median income of $86,042 compared to $38,103 in Mountain grove.
- A higher percentage of married families is found in Firth at 38.0% compared to 35.0% in Mountain grove.
- The poverty level is higher in Mountain grove at 15%, compared to 5% in Firth.
- Mountain grove has a higher unemployment rate at 4.5% compared to 2.5% in Firth.
Demographics
Demographics Firth vs Mountain grove provide insight into the diversity of the communities to compare.
Demographic | Firth | Mountain grove |
---|---|---|
Black | Data is updating | Data is updating |
White | 85 | 89 |
Asian | 1 | 1 |
Hispanic | 8 | 2 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Firth vs Mountain grove
- The percentage of Black residents is the same in both Firth and Mountain grove at 0%.
- The percentage of White residents is higher in Mountain grove at 89% compared to 85% in Firth.
- Both Firth and Mountain grove have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Firth at 8% compared to 2% in Mountain grove.
- The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 6% in Firth.
- The percentage of American Indian residents is the same in both Firth and Mountain grove at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Firth | Mountain grove |
---|---|---|
Mental Health Not Good | 12.3% | 22.5% |
Physical Health Not Good | 7.0% | 18.1% |
Depression | 17.9% | 28.4% |
Smoking | 11.4% | 31.2% |
Binge Drinking | 24.1% | 14.8% |
Obesity | 31.5% | 44.6% |
Disability Percentage | 6.0% | 24.0% |
Health Statistics Comparison: Firth vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 12.3% in Firth.
- Higher depression rates are seen in Mountain grove at 28.4% versus 17.9% in Firth.
- Mountain grove has a higher smoking rate at 31.2% compared to 11.4% in Firth.
- Binge drinking is more common in Firth at 24.1% compared to 14.8% in Mountain grove.
- Mountain grove has higher obesity rates at 44.6% compared to 31.5% in Firth.
- There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 6.0% in Firth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Firth | Mountain grove |
---|---|---|
No Schooling | 3.2% (21) | 0.6% (26) |
High School Diploma | 9.2% (60) | 27.6% (1,256) |
Less than High School | 10.1% (66) | 23.2% (1,057) |
Bachelor's Degree and Higher | 12.5% (82) | 8.8% (400) |
Education Levels Comparison: Firth vs Mountain grove
- A higher percentage of residents in Firth have no formal schooling at 3.2% 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 9.2% in Firth.
- The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 10.1% in Firth.
- A higher percentage of residents in Firth hold a bachelor's degree or higher at 12.5% 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.