Demographics details for Sanford, FL vs Pachuta, MS
Population Overview
Compare main population characteristics in Sanford, FL vs Pachuta, MS.
Data | Sanford | Pachuta |
---|---|---|
Population | 63,154 | 199 |
Median Age | 35.6 years | 53.0 years |
Median Income | $59,181 | $31,964 |
Married Families | 31.0% | 36.0% |
Poverty Level | 12% | 21% |
Unemployment Rate | 4.0 | 5.0 |
Population Comparison: Sanford vs Pachuta
- In Sanford, the population is higher at 63,154, compared to 199 in Pachuta.
- The median age in Pachuta is higher at 53.0 years, compared to 35.6 years in Sanford.
- Sanford has a higher median income of $59,181 compared to $31,964 in Pachuta.
- In Pachuta, the percentage of married families is higher at 36.0%, compared to 31.0% in Sanford.
- The poverty level is higher in Pachuta at 21%, compared to 12% in Sanford.
- Pachuta has a higher unemployment rate at 5.0% compared to 4.0% in Sanford.
Demographics
Demographics Sanford vs Pachuta provide insight into the diversity of the communities to compare.
Demographic | Sanford | Pachuta |
---|---|---|
Black | 26 | 39 |
White | 31 | 55 |
Asian | 4 | Data is updating |
Hispanic | 26 | Data is updating |
Two or More Races | 13 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanford vs Pachuta
- In Pachuta, the percentage of Black residents is higher at 39% compared to 26% in Sanford.
- The percentage of White residents is higher in Pachuta at 55% compared to 31% in Sanford.
- The Asian population is larger in Sanford at 4% compared to 0% in Pachuta.
- The Hispanic community is larger in Sanford at 26% compared to 0% in Pachuta.
- More residents identify as two or more races in Sanford at 13% compared to 6% in Pachuta.
- The percentage of American Indian residents is the same in both Sanford and Pachuta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sanford | Pachuta |
---|---|---|
Mental Health Not Good | 16.5% | 19.9% |
Physical Health Not Good | 12.1% | 15.4% |
Depression | 18.9% | 24.7% |
Smoking | 19.9% | 25.8% |
Binge Drinking | 15.9% | 12.9% |
Obesity | 34.4% | 47.3% |
Disability Percentage | 11.0% | 36.0% |
Health Statistics Comparison: Sanford vs Pachuta
- In Pachuta, a higher percentage report poor mental health at 19.9% compared to 16.5% in Sanford.
- Higher depression rates are seen in Pachuta at 24.7% versus 18.9% in Sanford.
- Pachuta has a higher smoking rate at 25.8% compared to 19.9% in Sanford.
- Binge drinking is more common in Sanford at 15.9% compared to 12.9% in Pachuta.
- Pachuta has higher obesity rates at 47.3% compared to 34.4% in Sanford.
- There is a higher percentage of disabled individuals in Pachuta at 36.0% compared to 11.0% in Sanford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sanford | Pachuta |
---|---|---|
No Schooling | 0.6% (389) | 0.0% (Data is updating) |
High School Diploma | 19.0% (11,984) | 16.1% (32) |
Less than High School | 11.1% (7,010) | 24.6% (49) |
Bachelor's Degree and Higher | 16.9% (10,683) | 8.0% (16) |
Education Levels Comparison: Sanford vs Pachuta
- A higher percentage of residents in Sanford have no formal schooling at 0.6% compared to 0.0% in Pachuta.
- A higher percentage of residents in Sanford hold a high school diploma at 19.0% compared to 16.1% in Pachuta.
- The percentage of residents with less than a high school education is higher in Pachuta at 24.6%, compared to 11.1% in Sanford.
- A higher percentage of residents in Sanford hold a bachelor's degree or higher at 16.9% compared to 8.0% in Pachuta.
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.