Demographics details for Shepherd, MT vs Warrensburg, MO
Population Overview
Compare main population characteristics in Shepherd, MT vs Warrensburg, MO.
Data | Shepherd | Warrensburg |
---|---|---|
Population | 772 | 19,458 |
Median Age | 40.5 years | 24.4 years |
Median Income | $125,179 | $54,535 |
Married Families | 47.0% | 27.0% |
Poverty Level | 5% | 14% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Shepherd vs Warrensburg
- The population in Warrensburg is higher at 19,458, compared to 772 in Shepherd.
- Residents in Shepherd have a higher median age of 40.5 years compared to 24.4 years in Warrensburg.
- Shepherd has a higher median income of $125,179 compared to $54,535 in Warrensburg.
- A higher percentage of married families is found in Shepherd at 47.0% compared to 27.0% in Warrensburg.
- The poverty level is higher in Warrensburg at 14%, compared to 5% in Shepherd.
- Warrensburg has a higher unemployment rate at 3.5% compared to 2.5% in Shepherd.
Demographics
Demographics Shepherd vs Warrensburg provide insight into the diversity of the communities to compare.
Demographic | Shepherd | Warrensburg |
---|---|---|
Black | Data is updating | 4 |
White | 86 | 80 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 6 |
Two or More Races | Data is updating | 7 |
American Indian | 14 | Data is updating |
Demographics Comparison: Shepherd vs Warrensburg
- In Warrensburg, the percentage of Black residents is higher at 4% compared to 0% in Shepherd.
- Shepherd has a higher percentage of White residents at 86% compared to 80% in Warrensburg.
- In Warrensburg, the Asian population stands at 3%, greater than 0% in Shepherd.
- Warrensburg has a higher percentage of Hispanic residents at 6%, compared to 0% in Shepherd.
- The percentage of residents identifying as two or more races is higher in Warrensburg at 7%, compared to 0% in Shepherd.
- A greater percentage of American Indian residents live in Shepherd at 14% compared to 0% in Warrensburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shepherd | Warrensburg |
---|---|---|
Mental Health Not Good | 16.7% | 18.4% |
Physical Health Not Good | 11.2% | 12.7% |
Depression | 28.0% | 24.3% |
Smoking | 16.7% | 20.8% |
Binge Drinking | 23.7% | 16.8% |
Obesity | 33.2% | 37.2% |
Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Shepherd vs Warrensburg
- In Warrensburg, a higher percentage report poor mental health at 18.4% compared to 16.7% in Shepherd.
- Depression is more prevalent in Shepherd at 28.0% compared to 24.3% in Warrensburg.
- Warrensburg has a higher smoking rate at 20.8% compared to 16.7% in Shepherd.
- Binge drinking is more common in Shepherd at 23.7% compared to 16.8% in Warrensburg.
- Warrensburg has higher obesity rates at 37.2% compared to 33.2% in Shepherd.
- There is a higher percentage of disabled individuals in Warrensburg at 11.0% compared to 6.0% in Shepherd.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shepherd | Warrensburg |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (150) |
High School Diploma | 16.2% (125) | 9.7% (1,895) |
Less than High School | 8.0% (62) | 6.0% (1,174) |
Bachelor's Degree and Higher | 17.9% (138) | 18.4% (3,573) |
Education Levels Comparison: Shepherd vs Warrensburg
- In Warrensburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Shepherd.
- A higher percentage of residents in Shepherd hold a high school diploma at 16.2% compared to 9.7% in Warrensburg.
- More residents in Shepherd have less than a high school education at 8.0% compared to 6.0% in Warrensburg.
- In Warrensburg, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 17.9% in Shepherd.
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.