Demographics details for Kingman, ME vs Mansfield, TX
Population Overview
Compare main population characteristics in Kingman, ME vs Mansfield, TX.
Data | Kingman | Mansfield |
---|---|---|
Population | 183 | 76,724 |
Median Age | 61.8 years | 37.3 years |
Median Income | $36,250 | $112,465 |
Married Families | 50.0% | 42.0% |
Poverty Level | 33% | 6% |
Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Kingman vs Mansfield
- The population in Mansfield is higher at 76,724, compared to 183 in Kingman.
- Residents in Kingman have a higher median age of 61.8 years compared to 37.3 years in Mansfield.
- Mansfield has a higher median income of $112,465, compared to $36,250 in Kingman.
- A higher percentage of married families is found in Kingman at 50.0% compared to 42.0% in Mansfield.
- Kingman has a higher poverty level at 33% compared to 6% in Mansfield.
- Mansfield has a higher unemployment rate at 4.1% compared to 3.2% in Kingman.
Demographics
Demographics Kingman vs Mansfield provide insight into the diversity of the communities to compare.
Demographic | Kingman | Mansfield |
---|---|---|
Black | Data is updating | 22 |
White | 99 | 49 |
Asian | Data is updating | 4 |
Hispanic | Data is updating | 16 |
Two or More Races | 1 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingman vs Mansfield
- In Mansfield, the percentage of Black residents is higher at 22% compared to 0% in Kingman.
- Kingman has a higher percentage of White residents at 99% compared to 49% in Mansfield.
- In Mansfield, the Asian population stands at 4%, greater than 0% in Kingman.
- Mansfield has a higher percentage of Hispanic residents at 16%, compared to 0% in Kingman.
- The percentage of residents identifying as two or more races is higher in Mansfield at 9%, compared to 1% in Kingman.
- The percentage of American Indian residents is the same in both Kingman and Mansfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingman | Mansfield |
---|---|---|
Mental Health Not Good | Data is updating% | 15.1% |
Physical Health Not Good | Data is updating% | 9.5% |
Depression | Data is updating% | 22.2% |
Smoking | Data is updating% | 12.5% |
Binge Drinking | Data is updating% | 18.4% |
Obesity | Data is updating% | 31.9% |
Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Kingman vs Mansfield
- In Mansfield, a higher percentage report poor mental health at 15.1% compared to 0.0% in Kingman.
- Higher depression rates are seen in Mansfield at 22.2% versus 0.0% in Kingman.
- Mansfield has a higher smoking rate at 12.5% compared to 0.0% in Kingman.
- More residents engage in binge drinking in Mansfield at 18.4% compared to 0.0% in Kingman.
- Mansfield has higher obesity rates at 31.9% compared to 0.0% in Kingman.
- Disability percentages are the same in both Kingman and Mansfield at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kingman | Mansfield |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (302) |
High School Diploma | 44.8% (82) | 9.6% (7,338) |
Less than High School | 26.2% (48) | 5.5% (4,243) |
Bachelor's Degree and Higher | 3.8% (7) | 25.5% (19,574) |
Education Levels Comparison: Kingman vs Mansfield
- In Mansfield, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Kingman.
- A higher percentage of residents in Kingman hold a high school diploma at 44.8% compared to 9.6% in Mansfield.
- More residents in Kingman have less than a high school education at 26.2% compared to 5.5% in Mansfield.
- In Mansfield, a larger share of residents have a bachelor's degree or higher at 25.5% compared to 3.8% in Kingman.
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.