Demographics details for Smith center, KS vs Lincroft, NJ
Population Overview
Compare main population characteristics in Smith center, KS vs Lincroft, NJ.
Data | Smith center | Lincroft |
---|---|---|
Population | 1,561 | 6,793 |
Median Age | 46.6 years | 44.4 years |
Median Income | $49,444 | $186,875 |
Married Families | 43.0% | 52.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Smith center vs Lincroft
- The population in Lincroft is higher at 6,793, compared to 1,561 in Smith center.
- Residents in Smith center have a higher median age of 46.6 years compared to 44.4 years in Lincroft.
- Lincroft has a higher median income of $186,875, compared to $49,444 in Smith center.
- In Lincroft, the percentage of married families is higher at 52.0%, compared to 43.0% in Smith center.
- Smith center has a higher poverty level at 10% compared to 0% in Lincroft.
- The unemployment rate is the same in both Smith center and Lincroft at 3.2%.
Demographics
Demographics Smith center vs Lincroft provide insight into the diversity of the communities to compare.
Demographic | Smith center | Lincroft |
---|---|---|
Black | 1 | Data is updating |
White | 94 | 83 |
Asian | Data is updating | 9 |
Hispanic | 3 | 3 |
Two or More Races | 2 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Smith center vs Lincroft
- A higher percentage of Black residents are in Smith center at 1% compared to 0% in Lincroft.
- Smith center has a higher percentage of White residents at 94% compared to 83% in Lincroft.
- In Lincroft, the Asian population stands at 9%, greater than 0% in Smith center.
- The percentage of Hispanic residents is the same in both Smith center and Lincroft at 3%.
- The percentage of residents identifying as two or more races is higher in Lincroft at 5%, compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Smith center and Lincroft at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Smith center | Lincroft |
---|---|---|
Mental Health Not Good | 16.7% | 13.7% |
Physical Health Not Good | 10.8% | 7.6% |
Depression | 21.7% | 20.1% |
Smoking | 19.2% | 10.5% |
Binge Drinking | 19.0% | 19.9% |
Obesity | 38.8% | 24.9% |
Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Smith center vs Lincroft
- More residents in Smith center report poor mental health at 16.7% compared to 13.7% in Lincroft.
- Depression is more prevalent in Smith center at 21.7% compared to 20.1% in Lincroft.
- Smoking is more prevalent in Smith center at 19.2% compared to 10.5% in Lincroft.
- More residents engage in binge drinking in Lincroft at 19.9% compared to 19.0% in Smith center.
- Obesity rates are higher in Smith center at 38.8% compared to 24.9% in Lincroft.
- Disability percentages are higher in Smith center at 15.0% compared to 11.0% in Lincroft.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Smith center | Lincroft |
---|---|---|
No Schooling | 0.2% (3) | 0.1% (6) |
High School Diploma | 29.4% (459) | 10.2% (696) |
Less than High School | 7.6% (118) | 1.2% (83) |
Bachelor's Degree and Higher | 14.8% (231) | 44.6% (3,033) |
Education Levels Comparison: Smith center vs Lincroft
- A higher percentage of residents in Smith center have no formal schooling at 0.2% compared to 0.1% in Lincroft.
- A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 10.2% in Lincroft.
- More residents in Smith center have less than a high school education at 7.6% compared to 1.2% in Lincroft.
- In Lincroft, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 14.8% in Smith center.
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.