Demographics details for Victoria, TX vs Mountain grove, MO
Population Overview
Compare main population characteristics in Victoria, TX vs Mountain grove, MO.
Data | Victoria | Mountain grove |
---|---|---|
Population | 65,372 | 4,551 |
Median Age | 34.7 years | 42.3 years |
Median Income | $64,832 | $38,103 |
Married Families | 36.0% | 35.0% |
Poverty Level | 13% | 15% |
Unemployment Rate | 4.8 | 4.5 |
Population Comparison: Victoria vs Mountain grove
- In Victoria, the population is higher at 65,372, compared to 4,551 in Mountain grove.
- The median age in Mountain grove is higher at 42.3 years, compared to 34.7 years in Victoria.
- Victoria has a higher median income of $64,832 compared to $38,103 in Mountain grove.
- A higher percentage of married families is found in Victoria at 36.0% compared to 35.0% in Mountain grove.
- The poverty level is higher in Mountain grove at 15%, compared to 13% in Victoria.
- The unemployment rate in Victoria is higher at 4.8%, compared to 4.5% in Mountain grove.
Demographics
Demographics Victoria vs Mountain grove provide insight into the diversity of the communities to compare.
Demographic | Victoria | Mountain grove |
---|---|---|
Black | 7 | Data is updating |
White | 14 | 89 |
Asian | 2 | 1 |
Hispanic | 56 | 2 |
Two or More Races | 21 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Victoria vs Mountain grove
- A higher percentage of Black residents are in Victoria at 7% compared to 0% in Mountain grove.
- The percentage of White residents is higher in Mountain grove at 89% compared to 14% in Victoria.
- The Asian population is larger in Victoria at 2% compared to 1% in Mountain grove.
- The Hispanic community is larger in Victoria at 56% compared to 2% in Mountain grove.
- More residents identify as two or more races in Victoria at 21% compared to 8% in Mountain grove.
- The percentage of American Indian residents is the same in both Victoria and Mountain grove at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Victoria | Mountain grove |
---|---|---|
Mental Health Not Good | 18.0% | 22.5% |
Physical Health Not Good | 13.1% | 18.1% |
Depression | 23.2% | 28.4% |
Smoking | 17.6% | 31.2% |
Binge Drinking | 17.0% | 14.8% |
Obesity | 41.7% | 44.6% |
Disability Percentage | 15.0% | 24.0% |
Health Statistics Comparison: Victoria vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 18.0% in Victoria.
- Higher depression rates are seen in Mountain grove at 28.4% versus 23.2% in Victoria.
- Mountain grove has a higher smoking rate at 31.2% compared to 17.6% in Victoria.
- Binge drinking is more common in Victoria at 17.0% compared to 14.8% in Mountain grove.
- Mountain grove has higher obesity rates at 44.6% compared to 41.7% in Victoria.
- There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 15.0% in Victoria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Victoria | Mountain grove |
---|---|---|
No Schooling | 1.4% (904) | 0.6% (26) |
High School Diploma | 16.1% (10,544) | 27.6% (1,256) |
Less than High School | 21.7% (14,173) | 23.2% (1,057) |
Bachelor's Degree and Higher | 12.4% (8,078) | 8.8% (400) |
Education Levels Comparison: Victoria vs Mountain grove
- A higher percentage of residents in Victoria have no formal schooling at 1.4% 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 16.1% in Victoria.
- The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 21.7% in Victoria.
- A higher percentage of residents in Victoria hold a bachelor's degree or higher at 12.4% 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.