Demographics details for Macclenny, FL vs Kaufman, TX
Population Overview
Compare main population characteristics in Macclenny, FL vs Kaufman, TX.
Data | Macclenny | Kaufman |
---|---|---|
Population | 7,670 | 172,366 |
Median Age | 37.5 years | 34.6 years |
Median Income | $62,134 | $84,075 |
Married Families | 32.0% | 36.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Macclenny vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 7,670 in Macclenny.
- Residents in Macclenny have a higher median age of 37.5 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $62,134 in Macclenny.
- In Kaufman, the percentage of married families is higher at 36.0%, compared to 32.0% in Macclenny.
- Macclenny has a higher poverty level at 11% compared to 10% in Kaufman.
- Kaufman has a higher unemployment rate at 4.8% compared to 3.5% in Macclenny.
Demographics
Demographics Macclenny vs Kaufman provide insight into the diversity of the communities to compare.
Demographic | Macclenny | Kaufman |
---|---|---|
Black | 19 | 13 |
White | 66 | 53 |
Asian | 1 | 1 |
Hispanic | 4 | 22 |
Two or More Races | 9 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Macclenny vs Kaufman
- A higher percentage of Black residents are in Macclenny at 19% compared to 13% in Kaufman.
- Macclenny has a higher percentage of White residents at 66% compared to 53% in Kaufman.
- Both Macclenny and Kaufman have the same percentage of Asian residents at 1%.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 4% in Macclenny.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 9% in Macclenny.
- A greater percentage of American Indian residents live in Macclenny at 1% compared to 0% in Kaufman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Macclenny | Kaufman |
---|---|---|
Mental Health Not Good | 17.2% | 16.8% |
Physical Health Not Good | 11.2% | 11.4% |
Depression | 20.4% | 22.6% |
Smoking | 22.6% | 16.1% |
Binge Drinking | 17.1% | 18.2% |
Obesity | 36.5% | 36.6% |
Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Macclenny vs Kaufman
- More residents in Macclenny report poor mental health at 17.2% compared to 16.8% in Kaufman.
- Higher depression rates are seen in Kaufman at 22.6% versus 20.4% in Macclenny.
- Smoking is more prevalent in Macclenny at 22.6% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 17.1% in Macclenny.
- Kaufman has higher obesity rates at 36.6% compared to 36.5% in Macclenny.
- Disability percentages are higher in Macclenny at 14.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Macclenny | Kaufman |
---|---|---|
No Schooling | 0.1% (4) | 1.4% (2,482) |
High School Diploma | 17.8% (1,365) | 12.9% (22,235) |
Less than High School | 13.5% (1,033) | 14.2% (24,496) |
Bachelor's Degree and Higher | 10.4% (799) | 13.1% (22,541) |
Education Levels Comparison: Macclenny vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.1% in Macclenny.
- A higher percentage of residents in Macclenny hold a high school diploma at 17.8% compared to 12.9% in Kaufman.
- The percentage of residents with less than a high school education is higher in Kaufman at 14.2%, compared to 13.5% in Macclenny.
- In Kaufman, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 10.4% in Macclenny.
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.