Demographics details for Independence, MO vs South paris, ME

Population Overview

Compare main population characteristics in Independence, MO vs South paris, ME.

Data Independence South paris
Population 121,202 2,208
Median Age 39.5 years 39.5 years
Median Income $57,415 $42,321
Married Families 35.0% 30.0%
Poverty Level 10% 13%
Unemployment Rate 4.6 3.5

Population Comparison: Independence vs South paris

  • In Independence, the population is higher at 121,202, compared to 2,208 in South paris.
  • The median age is the same in both Independence and South paris at 39.5 years.
  • Independence has a higher median income of $57,415 compared to $42,321 in South paris.
  • A higher percentage of married families is found in Independence at 35.0% compared to 30.0% in South paris.
  • The poverty level is higher in South paris at 13%, compared to 10% in Independence.
  • The unemployment rate in Independence is higher at 4.6%, compared to 3.5% in South paris.

Demographics

Demographics Independence vs South paris provide insight into the diversity of the communities to compare.

Demographic Independence South paris
Black 11 Data is updating
White 71 97
Asian 1 Data is updating
Hispanic 10 3
Two or More Races 7 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Independence vs South paris

  • A higher percentage of Black residents are in Independence at 11% compared to 0% in South paris.
  • The percentage of White residents is higher in South paris at 97% compared to 71% in Independence.
  • The Asian population is larger in Independence at 1% compared to 0% in South paris.
  • The Hispanic community is larger in Independence at 10% compared to 3% in South paris.
  • More residents identify as two or more races in Independence at 7% compared to 0% in South paris.
  • The percentage of American Indian residents is the same in both Independence and South paris at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Independence South paris
Mental Health Not Good 19.7% 18.7%
Physical Health Not Good 12.9% 11.4%
Depression 24.2% 26.9%
Smoking 20.8% 20.1%
Binge Drinking 20.2% 18.1%
Obesity 38.1% 33.9%
Disability Percentage 15.0% 22.0%

Health Statistics Comparison: Independence vs South paris

  • More residents in Independence report poor mental health at 19.7% compared to 18.7% in South paris.
  • Higher depression rates are seen in South paris at 26.9% versus 24.2% in Independence.
  • Smoking is more prevalent in Independence at 20.8% compared to 20.1% in South paris.
  • Binge drinking is more common in Independence at 20.2% compared to 18.1% in South paris.
  • Obesity rates are higher in Independence at 38.1% compared to 33.9% in South paris.
  • There is a higher percentage of disabled individuals in South paris at 22.0% compared to 15.0% in Independence.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Independence South paris
No Schooling 0.8% (1,000) 0.2% (5)
High School Diploma 22.5% (27,271) 25.2% (557)
Less than High School 13.3% (16,096) 2.4% (54)
Bachelor's Degree and Higher 13.6% (16,518) 9.6% (213)

Education Levels Comparison: Independence vs South paris

  • A higher percentage of residents in Independence have no formal schooling at 0.8% compared to 0.2% in South paris.
  • In South paris, the rate of residents with high school diplomas is higher at 25.2% compared to 22.5% in Independence.
  • More residents in Independence have less than a high school education at 13.3% compared to 2.4% in South paris.
  • A higher percentage of residents in Independence hold a bachelor's degree or higher at 13.6% compared to 9.6% in South paris.

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.