Demographics details for Merced, CA vs Tylertown, MS
Population Overview
Compare main population characteristics in Merced, CA vs Tylertown, MS.
Data | Merced | Tylertown |
---|---|---|
Population | 91,563 | 1,467 |
Median Age | 29.9 years | 33.9 years |
Median Income | $59,233 | $32,019 |
Married Families | 28.0% | 40.0% |
Poverty Level | 21% | 20% |
Unemployment Rate | 8.2 | 5.2 |
Population Comparison: Merced vs Tylertown
- In Merced, the population is higher at 91,563, compared to 1,467 in Tylertown.
- The median age in Tylertown is higher at 33.9 years, compared to 29.9 years in Merced.
- Merced has a higher median income of $59,233 compared to $32,019 in Tylertown.
- In Tylertown, the percentage of married families is higher at 40.0%, compared to 28.0% in Merced.
- Merced has a higher poverty level at 21% compared to 20% in Tylertown.
- The unemployment rate in Merced is higher at 8.2%, compared to 5.2% in Tylertown.
Demographics
Demographics Merced vs Tylertown provide insight into the diversity of the communities to compare.
Demographic | Merced | Tylertown |
---|---|---|
Black | 4 | 50 |
White | 18 | 27 |
Asian | 10 | 2 |
Hispanic | 57 | 17 |
Two or More Races | 10 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Merced vs Tylertown
- In Tylertown, the percentage of Black residents is higher at 50% compared to 4% in Merced.
- The percentage of White residents is higher in Tylertown at 27% compared to 18% in Merced.
- The Asian population is larger in Merced at 10% compared to 2% in Tylertown.
- The Hispanic community is larger in Merced at 57% compared to 17% in Tylertown.
- More residents identify as two or more races in Merced at 10% compared to 4% in Tylertown.
- A greater percentage of American Indian residents live in Merced at 1% compared to 0% in Tylertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Merced | Tylertown |
---|---|---|
Mental Health Not Good | 18.4% | 18.3% |
Physical Health Not Good | 14.9% | 14.2% |
Depression | 19.8% | 22.0% |
Smoking | 17.2% | 23.1% |
Binge Drinking | 14.5% | 12.7% |
Obesity | 33.7% | 44.0% |
Disability Percentage | 13.0% | 32.0% |
Health Statistics Comparison: Merced vs Tylertown
- More residents in Merced report poor mental health at 18.4% compared to 18.3% in Tylertown.
- Higher depression rates are seen in Tylertown at 22.0% versus 19.8% in Merced.
- Tylertown has a higher smoking rate at 23.1% compared to 17.2% in Merced.
- Binge drinking is more common in Merced at 14.5% compared to 12.7% in Tylertown.
- Tylertown has higher obesity rates at 44.0% compared to 33.7% in Merced.
- There is a higher percentage of disabled individuals in Tylertown at 32.0% compared to 13.0% in Merced.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Merced | Tylertown |
---|---|---|
No Schooling | 2.0% (1,807) | 9.7% (142) |
High School Diploma | 12.3% (11,246) | 20.2% (296) |
Less than High School | 24.2% (22,176) | 27.8% (408) |
Bachelor's Degree and Higher | 9.4% (8,562) | 21.0% (308) |
Education Levels Comparison: Merced vs Tylertown
- In Tylertown, a larger percentage of residents lack formal schooling at 9.7% compared to 2.0% in Merced.
- In Tylertown, the rate of residents with high school diplomas is higher at 20.2% compared to 12.3% in Merced.
- The percentage of residents with less than a high school education is higher in Tylertown at 27.8%, compared to 24.2% in Merced.
- In Tylertown, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 9.4% in Merced.
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.