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Benchmarking Brown County, South Dakota against  

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Brown County, South Dakota has the 10th-fewest days per month that adults self-report 'not good' mental health (2.43) of all the 3,142 counties. That 2.43 compares to an average of 3.78 and standard deviation of 0.57 across those 3,142 counties.

Brown County, South Dakota has these related standings among all the 3,142 counties:

  • days per month that adults self-report 'not good' mental health = 2.43 (10th-fewest)

  • older adults (Medicare beneficiaries) who are diagnosed with depression = 18.69% (717th-most, tied)

  • deaths due to drug overdose, alcohol, or suicide per 100,000 population = 27.49 (335th-fewest, tied)

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References

  1. days per month that adults self-report 'not good' mental health. Lower values are better. Source is CDC, 2015.

Profile

Brown County, South Dakota is in South Dakota, is urban high-performing, is better than the nationwide crime averages in both property crime and violent crime, is better than the nationwide household averages in each of household income, overcrowding, internet access, housing costs, and home heating, is better than the nationwide employment averages in each of labor-force participation, civilian unemployment, and job variety, is worse than the nationwide adult-disease averages in each of obesity, heart disease, and cancer, is better than the nationwide public-safety averages in each of traffic fatalities, airborne cancer risk, air quality, toxic-chemical exposure, and flood hazard, and is better than the nationwide black/hispanic disparity averages in each of college education, income, poverty, and premature death.

 

     Numeric values:
  • median household income ($53,100)
  • public-school spending per student ($8,986)
  • average weekly wage ($766.00)
  • per-capita spending on police and fire protection ($251.73)
  • households with internet access (99.61%)
  • high-school graduation rate (89.98%)
  • households with utility gas or electric for home heating (86.26%)
  • adults who don't eat enough daily fruits & vegetables (84.30%)
  • youth who live within 5 miles of a public school (82.36%)
  • labor-force participation (70.59%)
  • homeownership rate (68.6%)
  • 4th-grade students who are proficient in English Language Arts (56.72%)
  • population without nearby access to a large grocery store (42.12%)
  • population age 25+ with an Associate Degree or higher (38.61%)
  • population living close to emergency facilities (38.39%)
  • pre-school enrollment (37.08%)
  • unsafe drinking water exposure (36.87%)
  • racial integration (32.00%)
  • adult obesity (31.90%)
  • heart disease among older adults (26.42%)
  • households where housing costs (mortgage or rent and utilities) exceed 30% of household income (22.67%)
  • adults who did NOT take part in leisure-time physical activity or exercise in the past month (20.70%)
  • older adults (Medicare beneficiaries) who are diagnosed with depression (18.69%)
  • adults of age 18+ who smoke tobacco (14.23%)
  • poverty rate (9.82%)
  • adults who self-report fair or poor general health within the last 30 days (9.60%)
  • cancer among older adults (8.30%)
  • new-business growth rate (8.00%)
  • change in median household value (+8.00%)
  • population without health insurance (7.65%)
  • adult diabetes (7.4%)
  • households in a FEMA-designated flood hazard area (5.85%)
  • newborns with low birth weight (5.83%)
  • households with no vehicle (5.78%)
  • land area covered by tree canopy, weighted by population (5.75%)
  • tax returns that claim adult education tax credits (3.80%)
  • teenage birth rate (3.49%)
  • youth of ages 16-19 who are neither working nor enrolled in school (2.62%)
  • civilian labor-force unemployment (2.5%)
  • vacant houses (1.48%)
  • workers who commute 60 minutes or more (1.31%)
  • households that receive public-assistance income (1.21%)
  • overcrowded households (1.11%)
  • relative disparity in unemployment rates among the disabled, compared to the total population (0.69%)
  • affordable housing relative to low-income population (-23.03)
  • food environment index (8.0)
  • jobs within a 45-minute commute by car (7,435)
  • local food outlets per 100,000 in population (2.8)
  • nonprofits per 100,000 population (49.8)
  • variety of industries among available jobs (0.86)
  • walkability index (8.01)
  • airborne cancer risk per million in population (38.24)
  • car crash fatalities per 100,000 population (14.57)
  • chronic health risk from exposure to toxic chemicals (4,355)
  • days per month that adults self-report 'not good' mental health (2.43)
  • deaths due to drug overdose, alcohol, or suicide per 100,000 population (27.49)
  • preventable hospital admissions per 100,000 population (2,917)
  • property crimes per 100,000 population (1,507)
  • relative disparity in Bachelor's degree among blacks and hispanics, compared to whites (0.15)
  • relative disparity in income among blacks and hispanics, compared to whites (0.43)
  • relative disparity in pollution exposure among blacks, hispanics, and other, compared to whites (9.55)
  • relative disparity in poverty rates among blacks and hispanics, compared to whites (0.05)
  • relative disparity in premature death among blacks and hispanics, compared to whites (0.00)
  • risk of developing serious respiratory complications per 10,000 in population (1.61)
  • very-hot days per year (13)
  • violent crimes per 100,000 population (202.22)
  • CMS-certified beds within active hospitals per 1,000 population (4.71)
  • first responders per 1,000 population (0.450)
  • population (39,178)
  • primary-care doctors per 100,000 population (72.90)

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Brown County, South Dakota has the 10th-fewest days per month that adults self-report 'not good' mental health (2.43) of all the 3,142 counties. That 2.43 compares to an average of 3.78 and standard deviation of 0.57 across those 3,142 counties.
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