Demographics details for Lexington, NC vs Santa paula, CA
Population Overview
Compare main population characteristics in Lexington, NC vs Santa paula, CA.
Data | Lexington | Santa paula |
---|---|---|
Population | 19,679 | 31,018 |
Median Age | 38.6 years | 34.6 years |
Median Income | $36,868 | $72,014 |
Married Families | 31.0% | 36.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 5.2 | 5.6 |
Population Comparison: Lexington vs Santa paula
- The population in Santa paula is higher at 31,018, compared to 19,679 in Lexington.
- Residents in Lexington have a higher median age of 38.6 years compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014, compared to $36,868 in Lexington.
- In Santa paula, the percentage of married families is higher at 36.0%, compared to 31.0% in Lexington.
- The poverty level is identical in both Lexington and Santa paula at 15%.
- Santa paula has a higher unemployment rate at 5.6% compared to 5.2% in Lexington.
Demographics
Demographics Lexington vs Santa paula provide insight into the diversity of the communities to compare.
Demographic | Lexington | Santa paula |
---|---|---|
Black | 31 | 1 |
White | 38 | 2 |
Asian | 4 | 1 |
Hispanic | 16 | 81 |
Two or More Races | 11 | 13 |
American Indian | Data is updating | 2 |
Demographics Comparison: Lexington vs Santa paula
- A higher percentage of Black residents are in Lexington at 31% compared to 1% in Santa paula.
- Lexington has a higher percentage of White residents at 38% compared to 2% in Santa paula.
- The Asian population is larger in Lexington at 4% compared to 1% in Santa paula.
- Santa paula has a higher percentage of Hispanic residents at 81%, compared to 16% in Lexington.
- The percentage of residents identifying as two or more races is higher in Santa paula at 13%, compared to 11% in Lexington.
- In Santa paula, the percentage of American Indian residents is higher at 2%, compared to 0% in Lexington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lexington | Santa paula |
---|---|---|
Mental Health Not Good | 19.2% | 16.2% |
Physical Health Not Good | 15.5% | 13.5% |
Depression | 25.0% | 17.9% |
Smoking | 24.1% | 13.4% |
Binge Drinking | 13.8% | 15.6% |
Obesity | 42.7% | 31.5% |
Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Lexington vs Santa paula
- More residents in Lexington report poor mental health at 19.2% compared to 16.2% in Santa paula.
- Depression is more prevalent in Lexington at 25.0% compared to 17.9% in Santa paula.
- Smoking is more prevalent in Lexington at 24.1% compared to 13.4% in Santa paula.
- More residents engage in binge drinking in Santa paula at 15.6% compared to 13.8% in Lexington.
- Obesity rates are higher in Lexington at 42.7% compared to 31.5% in Santa paula.
- Disability percentages are higher in Lexington at 18.0% compared to 12.0% in Santa paula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lexington | Santa paula |
---|---|---|
No Schooling | 2.7% (531) | 2.9% (907) |
High School Diploma | 17.0% (3,355) | 12.8% (3,980) |
Less than High School | 25.6% (5,036) | 43.7% (13,547) |
Bachelor's Degree and Higher | 10.2% (2,009) | 8.6% (2,653) |
Education Levels Comparison: Lexington vs Santa paula
- In Santa paula, a larger percentage of residents lack formal schooling at 2.9% compared to 2.7% in Lexington.
- A higher percentage of residents in Lexington hold a high school diploma at 17.0% compared to 12.8% in Santa paula.
- The percentage of residents with less than a high school education is higher in Santa paula at 43.7%, compared to 25.6% in Lexington.
- A higher percentage of residents in Lexington hold a bachelor's degree or higher at 10.2% compared to 8.6% in Santa paula.
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.