Demographics details for Moscow, ID vs South plainfield, NJ
Population Overview
Compare main population characteristics in Moscow, ID vs South plainfield, NJ.
Data | Moscow | South plainfield |
---|---|---|
Population | 26,249 | 24,228 |
Median Age | 24.8 years | 41.8 years |
Median Income | $53,679 | $123,417 |
Married Families | 28.0% | 50.0% |
Poverty Level | 15% | 6% |
Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Moscow vs South plainfield
- In Moscow, the population is higher at 26,249, compared to 24,228 in South plainfield.
- The median age in South plainfield is higher at 41.8 years, compared to 24.8 years in Moscow.
- South plainfield has a higher median income of $123,417, compared to $53,679 in Moscow.
- In South plainfield, the percentage of married families is higher at 50.0%, compared to 28.0% in Moscow.
- Moscow has a higher poverty level at 15% compared to 6% in South plainfield.
- The unemployment rate is the same in both Moscow and South plainfield at 4.2%.
Demographics
Demographics Moscow vs South plainfield provide insight into the diversity of the communities to compare.
Demographic | Moscow | South plainfield |
---|---|---|
Black | 2 | 12 |
White | 83 | 46 |
Asian | 3 | 17 |
Hispanic | 5 | 18 |
Two or More Races | 6 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Moscow vs South plainfield
- In South plainfield, the percentage of Black residents is higher at 12% compared to 2% in Moscow.
- Moscow has a higher percentage of White residents at 83% compared to 46% in South plainfield.
- In South plainfield, the Asian population stands at 17%, greater than 3% in Moscow.
- South plainfield has a higher percentage of Hispanic residents at 18%, compared to 5% in Moscow.
- The percentage of residents identifying as two or more races is higher in South plainfield at 7%, compared to 6% in Moscow.
- A greater percentage of American Indian residents live in Moscow at 1% compared to 0% in South plainfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Moscow | South plainfield |
---|---|---|
Mental Health Not Good | 15.4% | 14.4% |
Physical Health Not Good | 10.6% | 9.0% |
Depression | 24.5% | 19.0% |
Smoking | 13.6% | 12.0% |
Binge Drinking | 17.1% | 15.2% |
Obesity | 31.2% | 29.0% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Moscow vs South plainfield
- More residents in Moscow report poor mental health at 15.4% compared to 14.4% in South plainfield.
- Depression is more prevalent in Moscow at 24.5% compared to 19.0% in South plainfield.
- Smoking is more prevalent in Moscow at 13.6% compared to 12.0% in South plainfield.
- Binge drinking is more common in Moscow at 17.1% compared to 15.2% in South plainfield.
- Obesity rates are higher in Moscow at 31.2% compared to 29.0% in South plainfield.
- Disability percentages are higher in Moscow at 10.0% 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 | Moscow | South plainfield |
---|---|---|
No Schooling | 0.3% (80) | 1.4% (328) |
High School Diploma | 5.7% (1,492) | 16.6% (4,012) |
Less than High School | 2.0% (515) | 9.0% (2,175) |
Bachelor's Degree and Higher | 25.8% (6,776) | 31.5% (7,629) |
Education Levels Comparison: Moscow vs South plainfield
- In South plainfield, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Moscow.
- In South plainfield, the rate of residents with high school diplomas is higher at 16.6% compared to 5.7% in Moscow.
- The percentage of residents with less than a high school education is higher in South plainfield at 9.0%, compared to 2.0% in Moscow.
- In South plainfield, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 25.8% in Moscow.
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.