Demographics details for Laurel, MS vs Taylorsville, NC
Population Overview
Compare main population characteristics in Laurel, MS vs Taylorsville, NC.
Data | Laurel | Taylorsville |
---|---|---|
Population | 17,066 | 2,298 |
Median Age | 37.6 years | 53.7 years |
Median Income | $36,336 | $43,681 |
Married Families | 29.0% | 30.0% |
Poverty Level | 20% | 12% |
Unemployment Rate | 5.4 | 4.5 |
Population Comparison: Laurel vs Taylorsville
- In Laurel, the population is higher at 17,066, compared to 2,298 in Taylorsville.
- The median age in Taylorsville is higher at 53.7 years, compared to 37.6 years in Laurel.
- Taylorsville has a higher median income of $43,681, compared to $36,336 in Laurel.
- In Taylorsville, the percentage of married families is higher at 30.0%, compared to 29.0% in Laurel.
- Laurel has a higher poverty level at 20% compared to 12% in Taylorsville.
- The unemployment rate in Laurel is higher at 5.4%, compared to 4.5% in Taylorsville.
Demographics
Demographics Laurel vs Taylorsville provide insight into the diversity of the communities to compare.
Demographic | Laurel | Taylorsville |
---|---|---|
Black | 66 | 8 |
White | 28 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 3 |
Two or More Races | 1 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Taylorsville
- A higher percentage of Black residents are in Laurel at 66% compared to 8% in Taylorsville.
- The percentage of White residents is higher in Taylorsville at 86% compared to 28% in Laurel.
- Both Laurel and Taylorsville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Laurel at 4% compared to 3% in Taylorsville.
- The percentage of residents identifying as two or more races is higher in Taylorsville at 3%, compared to 1% in Laurel.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Taylorsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurel | Taylorsville |
---|---|---|
Mental Health Not Good | 17.9% | 18.6% |
Physical Health Not Good | 14.9% | 13.4% |
Depression | 21.8% | 25.6% |
Smoking | 23.1% | 21.5% |
Binge Drinking | 11.6% | 16.9% |
Obesity | 44.5% | 37.8% |
Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: Laurel vs Taylorsville
- In Taylorsville, a higher percentage report poor mental health at 18.6% compared to 17.9% in Laurel.
- Higher depression rates are seen in Taylorsville at 25.6% versus 21.8% in Laurel.
- Smoking is more prevalent in Laurel at 23.1% compared to 21.5% in Taylorsville.
- More residents engage in binge drinking in Taylorsville at 16.9% compared to 11.6% in Laurel.
- Obesity rates are higher in Laurel at 44.5% compared to 37.8% in Taylorsville.
- Disability percentages are the same in both Laurel and Taylorsville at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurel | Taylorsville |
---|---|---|
No Schooling | 0.7% (124) | 1.2% (27) |
High School Diploma | 17.3% (2,956) | 26.1% (599) |
Less than High School | 17.5% (2,979) | 19.3% (444) |
Bachelor's Degree and Higher | 14.6% (2,485) | 11.0% (252) |
Education Levels Comparison: Laurel vs Taylorsville
- In Taylorsville, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in Laurel.
- In Taylorsville, the rate of residents with high school diplomas is higher at 26.1% compared to 17.3% in Laurel.
- The percentage of residents with less than a high school education is higher in Taylorsville at 19.3%, compared to 17.5% in Laurel.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 14.6% compared to 11.0% in Taylorsville.
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.