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Benchmarking Yankton County, South Dakota against
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Yankton County, South Dakota has the 8th-fewest days per month that adults self-report 'not good' mental health (2.56) of the 811 counties that are urban high-performing. That 2.56 compares to an average of 3.54 and standard deviation of 0.43 across those 811 counties.
Yankton County, South Dakota has these related standings among those 811 peer counties:
Note that days per month that adults self-report 'not good' mental health correlates (0.74) with adults of age 18+ who smoke tobacco. But on the latter, Yankton County, South Dakota (with 16.37%) is higher (i.e., worse) than the median (15.88%) of those 811 counties.
Yankton County, South Dakota has these related standings among those 811 peer counties:
- days per month that adults self-report 'not good' mental health = 2.56 (8th-fewest)
- older adults (Medicare beneficiaries) who are diagnosed with depression = 14.14% (120th-fewest, tied)
- deaths due to drug overdose, alcohol, or suicide per 100,000 population = 25.94 (129th-fewest, tied)
Note that days per month that adults self-report 'not good' mental health correlates (0.74) with adults of age 18+ who smoke tobacco. But on the latter, Yankton County, South Dakota (with 16.37%) is higher (i.e., worse) than the median (15.88%) of those 811 counties.
Insert recommendations for community action or improvement, based on the highlighted measures and their comparative outcomes, and optionally dependent on a specified geography or other attribute.
- days per month that adults self-report 'not good' mental health. Lower values are better. Source is CDC, 2015.
Yankton County, South Dakota is in South Dakota, is urban high-performing, 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 better than the nationwide public-safety averages in each of drinking water, airborne cancer risk, air quality, toxic-chemical exposure, and flood hazard, is better than the nationwide adult-disease averages in each of obesity, diabetes, heart disease, and cancer, and is better than the nationwide black/hispanic disparity averages in each of college education, poverty, and premature death.
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Numeric values:
- median household income ($48,176)
- public-school spending per student ($9,198)
- average weekly wage ($759.00)
- per-capita spending on police and fire protection ($191.33)
- high-school graduation rate (95.93%)
- households with internet access (85.94%)
- youth who live within 5 miles of a public school (80.66%)
- adults who don't eat enough daily fruits & vegetables (77.20%)
- households with utility gas or electric for home heating (77.19%)
- homeownership rate (67.5%)
- labor-force participation (63.98%)
- population living close to emergency facilities (47.33%)
- 4th-grade students who are proficient in English Language Arts (46.14%)
- population age 25+ with an Associate Degree or higher (35.31%)
- pre-school enrollment (34.11%)
- racial integration (34.00%)
- adult obesity (29.90%)
- population without nearby access to a large grocery store (25.45%)
- households where housing costs (mortgage or rent and utilities) exceed 30% of household income (23.31%)
- heart disease among older adults (22.68%)
- adults who did NOT take part in leisure-time physical activity or exercise in the past month (18.70%)
- adults of age 18+ who smoke tobacco (16.37%)
- poverty rate (14.24%)
- older adults (Medicare beneficiaries) who are diagnosed with depression (14.14%)
- adults who self-report fair or poor general health within the last 30 days (10.33%)
- population without health insurance (9.67%)
- land area covered by tree canopy, weighted by population (7.94%)
- new-business growth rate (6.88%)
- newborns with low birth weight (6.84%)
- adult diabetes (6.8%)
- cancer among older adults (6.18%)
- change in median household value (+4.89%)
- households with no vehicle (4.57%)
- households in a FEMA-designated flood hazard area (4.36%)
- workers who commute 60 minutes or more (4.12%)
- tax returns that claim adult education tax credits (4.11%)
- teenage birth rate (3.07%)
- vacant houses (2.90%)
- civilian labor-force unemployment (2.4%)
- unsafe drinking water exposure (2.01%)
- households that receive public-assistance income (1.02%)
- relative disparity in unemployment rates among the disabled, compared to the total population (0.92%)
- overcrowded households (0.78%)
- youth of ages 16-19 who are neither working nor enrolled in school (0.34%)
- affordable housing relative to low-income population (-43.50)
- food environment index (7.4)
- jobs within a 45-minute commute by car (5,037)
- local food outlets per 100,000 in population (23.9)
- nonprofits per 100,000 population (53.5)
- variety of industries among available jobs (0.82)
- walkability index (7.62)
- airborne cancer risk per million in population (31.29)
- car crash fatalities per 100,000 population (18.80)
- chronic health risk from exposure to toxic chemicals (1,442)
- days per month that adults self-report 'not good' mental health (2.56)
- deaths due to drug overdose, alcohol, or suicide per 100,000 population (25.94)
- preventable hospital admissions per 100,000 population (3,748)
- property crimes per 100,000 population (2,216)
- 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 (0.47)
- relative disparity in pollution exposure among blacks, hispanics, and other, compared to whites (5.89)
- relative disparity in poverty rates among blacks and hispanics, compared to whites (0.07)
- 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 (1.07)
- very-hot days per year (9)
- violent crimes per 100,000 population (194.07)
- CMS-certified beds within active hospitals per 1,000 population (12.79)
- first responders per 1,000 population (0.690)
- population (22,662)
- primary-care doctors per 100,000 population (101.39)
Global References