Demographics details for Webb city, MO vs Saucier, MS
Population Overview
Compare main population characteristics in Webb city, MO vs Saucier, MS.
Data | Webb city | Saucier |
---|---|---|
Population | 13,165 | 1,199 |
Median Age | 34.2 years | 41.3 years |
Median Income | $58,964 | $67,742 |
Married Families | 36.0% | 32.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Webb city vs Saucier
- In Webb city, the population is higher at 13,165, compared to 1,199 in Saucier.
- The median age in Saucier is higher at 41.3 years, compared to 34.2 years in Webb city.
- Saucier has a higher median income of $67,742, compared to $58,964 in Webb city.
- A higher percentage of married families is found in Webb city at 36.0% compared to 32.0% in Saucier.
- Webb city has a higher poverty level at 12% compared to 11% in Saucier.
- Saucier has a higher unemployment rate at 4.2% compared to 3.5% in Webb city.
Demographics
Demographics Webb city vs Saucier provide insight into the diversity of the communities to compare.
Demographic | Webb city | Saucier |
---|---|---|
Black | 2 | Data is updating |
White | 87 | 100 |
Asian | 2 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 6 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Saucier
- A higher percentage of Black residents are in Webb city at 2% compared to 0% in Saucier.
- The percentage of White residents is higher in Saucier at 100% compared to 87% in Webb city.
- The Asian population is larger in Webb city at 2% compared to 0% in Saucier.
- The Hispanic community is larger in Webb city at 2% compared to 0% in Saucier.
- More residents identify as two or more races in Webb city at 6% compared to 0% in Saucier.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Saucier.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Webb city | Saucier |
---|---|---|
Mental Health Not Good | 19.2% | 18.0% |
Physical Health Not Good | 13.6% | 12.6% |
Depression | 26.8% | 25.6% |
Smoking | 21.8% | 22.9% |
Binge Drinking | 16.2% | 16.3% |
Obesity | 40.0% | 34.0% |
Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Webb city vs Saucier
- More residents in Webb city report poor mental health at 19.2% compared to 18.0% in Saucier.
- Depression is more prevalent in Webb city at 26.8% compared to 25.6% in Saucier.
- Saucier has a higher smoking rate at 22.9% compared to 21.8% in Webb city.
- More residents engage in binge drinking in Saucier at 16.3% compared to 16.2% in Webb city.
- Obesity rates are higher in Webb city at 40.0% compared to 34.0% in Saucier.
- Disability percentages are higher in Webb city at 16.0% compared to 15.0% in Saucier.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Webb city | Saucier |
---|---|---|
No Schooling | 0.4% (53) | 0.0% (Data is updating) |
High School Diploma | 19.4% (2,556) | 29.9% (359) |
Less than High School | 11.6% (1,529) | 6.3% (76) |
Bachelor's Degree and Higher | 17.5% (2,301) | 7.0% (84) |
Education Levels Comparison: Webb city vs Saucier
- A higher percentage of residents in Webb city have no formal schooling at 0.4% compared to 0.0% in Saucier.
- In Saucier, the rate of residents with high school diplomas is higher at 29.9% compared to 19.4% in Webb city.
- More residents in Webb city have less than a high school education at 11.6% compared to 6.3% in Saucier.
- A higher percentage of residents in Webb city hold a bachelor's degree or higher at 17.5% compared to 7.0% in Saucier.
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.