Demographics details for Coalinga, CA vs South charleston, OH

Population Overview

Compare main population characteristics in Coalinga, CA vs South charleston, OH.

Data Coalinga South charleston
Population 17,024 1,696
Median Age 35.0 years 42.3 years
Median Income $68,976 $47,137
Married Families 31.0% 34.0%
Poverty Level 15% 7%
Unemployment Rate 6.5 5.2

Population Comparison: Coalinga vs South charleston

  • In Coalinga, the population is higher at 17,024, compared to 1,696 in South charleston.
  • The median age in South charleston is higher at 42.3 years, compared to 35.0 years in Coalinga.
  • Coalinga has a higher median income of $68,976 compared to $47,137 in South charleston.
  • In South charleston, the percentage of married families is higher at 34.0%, compared to 31.0% in Coalinga.
  • Coalinga has a higher poverty level at 15% compared to 7% in South charleston.
  • The unemployment rate in Coalinga is higher at 6.5%, compared to 5.2% in South charleston.

Demographics

Demographics Coalinga vs South charleston provide insight into the diversity of the communities to compare.

Demographic Coalinga South charleston
Black 4 4
White 9 88
Asian 2 1
Hispanic 65 3
Two or More Races 18 4
American Indian 2 Data is updating

Demographics Comparison: Coalinga vs South charleston

  • The percentage of Black residents is the same in both Coalinga and South charleston at 4%.
  • The percentage of White residents is higher in South charleston at 88% compared to 9% in Coalinga.
  • The Asian population is larger in Coalinga at 2% compared to 1% in South charleston.
  • The Hispanic community is larger in Coalinga at 65% compared to 3% in South charleston.
  • More residents identify as two or more races in Coalinga at 18% compared to 4% in South charleston.
  • A greater percentage of American Indian residents live in Coalinga at 2% compared to 0% in South charleston.

Health Statistics

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

Health Metric Coalinga South charleston
Mental Health Not Good 16.9% 18.8%
Physical Health Not Good 13.9% 12.6%
Depression 16.4% 25.3%
Smoking 17.2% 22.2%
Binge Drinking 15.9% 17.8%
Obesity 39.1% 42.6%
Disability Percentage 13.0% 23.0%

Health Statistics Comparison: Coalinga vs South charleston

  • In South charleston, a higher percentage report poor mental health at 18.8% compared to 16.9% in Coalinga.
  • Higher depression rates are seen in South charleston at 25.3% versus 16.4% in Coalinga.
  • South charleston has a higher smoking rate at 22.2% compared to 17.2% in Coalinga.
  • More residents engage in binge drinking in South charleston at 17.8% compared to 15.9% in Coalinga.
  • South charleston has higher obesity rates at 42.6% compared to 39.1% in Coalinga.
  • There is a higher percentage of disabled individuals in South charleston at 23.0% compared to 13.0% in Coalinga.

Education Levels

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

Education Level Coalinga South charleston
No Schooling 3.2% (537) 0.3% (5)
High School Diploma 13.8% (2,349) 26.6% (451)
Less than High School 39.2% (6,672) 21.6% (367)
Bachelor's Degree and Higher 8.1% (1,380) 8.5% (145)

Education Levels Comparison: Coalinga vs South charleston

  • A higher percentage of residents in Coalinga have no formal schooling at 3.2% compared to 0.3% in South charleston.
  • In South charleston, the rate of residents with high school diplomas is higher at 26.6% compared to 13.8% in Coalinga.
  • More residents in Coalinga have less than a high school education at 39.2% compared to 21.6% in South charleston.
  • In South charleston, a larger share of residents have a bachelor's degree or higher at 8.5% compared to 8.1% in Coalinga.

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.