Demographics details for South plainfield, NJ vs Lima, OH
Population Overview
Compare main population characteristics in South plainfield, NJ vs Lima, OH.
Data | South plainfield | Lima |
---|---|---|
Population | 24,228 | 34,977 |
Median Age | 41.8 years | 34.7 years |
Median Income | $123,417 | $41,824 |
Married Families | 50.0% | 23.0% |
Poverty Level | 6% | 20% |
Unemployment Rate | 4.2 | 6.9 |
Population Comparison: South plainfield vs Lima
- The population in Lima is higher at 34,977, compared to 24,228 in South plainfield.
- Residents in South plainfield have a higher median age of 41.8 years compared to 34.7 years in Lima.
- South plainfield has a higher median income of $123,417 compared to $41,824 in Lima.
- A higher percentage of married families is found in South plainfield at 50.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 6% in South plainfield.
- Lima has a higher unemployment rate at 6.9% compared to 4.2% in South plainfield.
Demographics
Demographics South plainfield vs Lima provide insight into the diversity of the communities to compare.
Demographic | South plainfield | Lima |
---|---|---|
Black | 12 | 24 |
White | 46 | 62 |
Asian | 17 | Data is updating |
Hispanic | 18 | 5 |
Two or More Races | 7 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: South plainfield vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 12% in South plainfield.
- The percentage of White residents is higher in Lima at 62% compared to 46% in South plainfield.
- The Asian population is larger in South plainfield at 17% compared to 0% in Lima.
- The Hispanic community is larger in South plainfield at 18% compared to 5% in Lima.
- The percentage of residents identifying as two or more races is higher in Lima at 9%, compared to 7% in South plainfield.
- The percentage of American Indian residents is the same in both South plainfield and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South plainfield | Lima |
---|---|---|
Mental Health Not Good | 14.4% | 19.6% |
Physical Health Not Good | 9.0% | 15.0% |
Depression | 19.0% | 25.0% |
Smoking | 12.0% | 27.2% |
Binge Drinking | 15.2% | 17.3% |
Obesity | 29.0% | 47.4% |
Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: South plainfield vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 14.4% in South plainfield.
- Higher depression rates are seen in Lima at 25.0% versus 19.0% in South plainfield.
- Lima has a higher smoking rate at 27.2% compared to 12.0% in South plainfield.
- More residents engage in binge drinking in Lima at 17.3% compared to 15.2% in South plainfield.
- Lima has higher obesity rates at 47.4% compared to 29.0% in South plainfield.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 9.0% in South plainfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South plainfield | Lima |
---|---|---|
No Schooling | 1.4% (328) | 0.7% (247) |
High School Diploma | 16.6% (4,012) | 22.7% (7,927) |
Less than High School | 9.0% (2,175) | 12.9% (4,523) |
Bachelor's Degree and Higher | 31.5% (7,629) | 7.0% (2,437) |
Education Levels Comparison: South plainfield vs Lima
- A higher percentage of residents in South plainfield have no formal schooling at 1.4% compared to 0.7% in Lima.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 16.6% in South plainfield.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 9.0% in South plainfield.
- A higher percentage of residents in South plainfield hold a bachelor's degree or higher at 31.5% compared to 7.0% in Lima.
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.