Health by ZIP

States › South Dakota › Jackson County

County · South Dakota

Jackson County, SD

2,776 residents, 1,799 adults (Census population estimates used by PLACES). 4 ZIP Codes and 2 places with estimates.

Jackson County within South Dakota. Boundaries: US Census Bureau.
40.9%obesity, adults95% interval 33.7–48.7in line with · state figure 35.9% (site aggregate)
18.6%diabetes, adults95% interval 16.4–21.1above · state figure 11.7% (site aggregate)
40.2%high blood pressure, adults95% interval 36.1–44.4above · state figure 33.3% (site aggregate)
31.3%fair or poor health, adults95% interval 27.5–35.6above · state figure 17.3% (site aggregate)

Jackson County, in South Dakota, has 2,776 residents in the Census population estimates used by PLACES (1,799 adults). CDC's PLACES project estimates 40 health measures for its adult population using a statistical model, not a local survey.

In the 2025 release it estimates that 40.9% of adults have obesity (95% confidence interval 33.7–48.7%), in line with the South Dakota figure of 35.9% (site aggregate), higher than the national estimate of 32.8%.

Diagnosed diabetes: 18.6% of adults (95% confidence interval 16.4–21.1%) in the 2025 release, above the South Dakota figure of 11.7% (site aggregate), higher than the national estimate of 12.0%.

Across the 33 measures with a published estimate, the county's interval lies entirely above the South Dakota figure for 20, entirely below it for 5 and includes it for 8. State figures are population-weighted county estimates computed by this site and carry no interval.

7 measures have no published estimate for this area in any release kept here (the health-related social needs measures are only estimated for states that ran that survey module).

Report card: 40 measures by CDC category

Crude prevalence is the estimated share of all adults. Age-adjusted prevalence is standardised to the 2000 US standard population so that areas with different age structures can be compared. CDC: "Age-adjusted estimates are only available at the county and place-level."

estimate with 95% intervalSD figureUS estimate

Health outcomes (12)vs SD figure: 7 above · 1 below · 4 in line
MeasureEstimate and 95% intervalValueFlagsRelease
All teeth lost among adults aged ≥65 yearsBRFSS 2022 · Adults aged 65 years and older26.8%22.9–31.327.4%23.4–31.9St. ↑US ↑St. ↑US ↑2025
Arthritis among adultsBRFSS 202328.9%25.8–32.326.5%23.5–29.8St. ≈US ↑St. ↑US ↑2025
Cancer (non-skin) or melanoma among adultsBRFSS 20238.0%7.3–8.87.0%6.4–7.7St. ↓US ≈St. ≈US ≈2025
Chronic obstructive pulmonary disease among adultsBRFSS 202312.3%10.8–14.111.3%9.9–12.9St. ↑US ↑St. ↑US ↑2025
Coronary heart disease among adultsBRFSS 202310.3%9.2–11.69.0%8.0–10.1St. ↑US ↑St. ↑US ↑2025
Current asthma among adultsBRFSS 202313.2%11.6–15.013.3%11.8–15.1St. ↑US ↑St. ↑US ↑2025
Depression among adultsBRFSS 202322.3%18.9–26.222.9%19.5–26.8St. ≈US ≈St. ≈US ≈2025
Diagnosed diabetes among adultsBRFSS 202318.6%16.4–21.117.1%15.0–19.4St. ↑US ↑St. ↑US ↑2025
High blood pressure among adultsBRFSS 202340.2%36.1–44.437.9%33.8–42.3St. ↑US ↑St. ↑US ↑2025
High cholesterol among adults who have ever been screenedBRFSS 202335.4%31.4–39.530.8%26.9–35.0St. ≈US ≈St. ≈US ≈2025
Obesity among adultsBRFSS 202340.9%33.7–48.741.8%34.5–49.5St. ≈US ↑St. ≈US ↑2025
Stroke among adultsBRFSS 20236.0%5.4–6.75.4%4.8–5.9St. ↑US ↑St. ↑US ↑2025
Prevention (7)vs SD figure: 1 above · 4 below · 2 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Cholesterol screening among adultsBRFSS 202378.1%75.4–80.877.1%74.4–79.9St. ↓US ↓St. ↓US ↓2025
Colorectal cancer screening among adults aged 45–75 yearsBRFSS 2022 · Adults aged 45–75 years56.8%51.7–61.851.3%46.3–56.3St. ↓US ↓St. ↓US ≈2025
Current lack of health insurance among adults aged 18-64 yearsBRFSS 2023 · Adults aged 18–64 years13.9%11.3–16.814.4%11.8–17.3St. ↑US ≈St. ↑US ≈2025
Mammography use among women aged 50-74 yearsBRFSS 2022 · Women aged 50–74 years65.9%57.4–73.765.5%57.0–73.4St. ↓US ↓St. ↓US ↓2025
Taking medicine to control high blood pressure among adults with high blood pressureBRFSS 202376.0%73.3–78.759.6%55.2–64.1St. ≈US ≈St. ≈US ≈2025
Visited dentist or dental clinic in the past year among adultsBRFSS 202251.1%47.3–54.850.8%47.1–54.6St. ↓US ↓St. ↓US ↓2025
Visits to doctor for routine checkup within the past year among adultsBRFSS 202374.4%70.5–78.373.0%69.0–77.1St. ≈US ≈St. ≈US ≈2025
Health risk behaviors (4)vs SD figure: 2 above · 0 below · 2 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Binge drinking among adultsBRFSS 202315.6%12.8–18.916.5%13.6–20.0St. ≈US ≈St. ↓US ≈2025
Current cigarette smoking among adultsBRFSS 202328.5%24.8–32.629.8%25.9–34.0St. ↑US ↑St. ↑US ↑2025
No leisure-time physical activity among adultsBRFSS 202335.2%30.0–40.934.6%29.4–40.3St. ↑US ↑St. ↑US ↑2025
Short sleep duration among adultsBRFSS 202234.8%29.3–40.435.7%30.1–41.3St. ≈US ≈St. ≈US ≈2025
Disability (7)vs SD figure: 7 above · 0 below · 0 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Any disability among adultsBRFSS 202343.4%38.3–48.841.8%36.9–47.0St. ↑US ↑St. ↑US ↑2025
Cognitive disability among adultsBRFSS 202321.8%19.1–24.822.1%19.4–25.1St. ↑US ↑St. ↑US ↑2025
Hearing disability among adultsBRFSS 202312.5%11.1–14.011.2%9.9–12.6St. ↑US ↑St. ↑US ↑2025
Independent living disability among adultsBRFSS 202315.3%13.4–17.314.9%13.1–17.0St. ↑US ↑St. ↑US ↑2025
Mobility disability among adultsBRFSS 202322.4%19.7–25.420.6%18.0–23.5St. ↑US ↑St. ↑US ↑2025
Self-care disability among adultsBRFSS 20237.6%6.7–8.57.1%6.3–8.1St. ↑US ↑St. ↑US ↑2025
Vision disability among adultsBRFSS 202311.1%9.9–12.510.7%9.5–12.0St. ↑US ↑St. ↑US ↑2025
Health status (3)vs SD figure: 3 above · 0 below · 0 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Fair or poor self-rated health status among adultsBRFSS 202331.3%27.5–35.630.6%26.9–34.9St. ↑US ↑St. ↑US ↑2025
Frequent mental distress among adultsBRFSS 202320.9%18.4–23.421.6%19.1–24.3St. ↑US ↑St. ↑US ↑2025
Frequent physical distress among adultsBRFSS 202319.5%17.1–22.018.9%16.6–21.4St. ↑US ↑St. ↑US ↑2025
Health-related social needs (7)not published for this area
MeasureEstimate and 95% intervalValueFlagsRelease
Food insecurity in the past 12 months among adultsBRFSS 2023not publishednot published———
Housing insecurity in the past 12 months among adultsBRFSS 2023not publishednot published———
Lack of reliable transportation in the past 12 months among adultsBRFSS 2023not publishednot published———
Lack of social and emotional support among adultsBRFSS 2023not publishednot published———
Loneliness among adultsBRFSS 2023not publishednot published———
Received food stamps in the past 12 months among adultsBRFSS 2023not publishednot published———
Utility services shut-off threat in the past 12 months among adultsBRFSS 2023not publishednot published———

Flags: St. = South Dakota figure (site aggregate: a population-weighted county estimate computed by this site, no interval: above, below or in line), US = national estimate with CDC's interval. ↑ interval entirely above, ↓ entirely below, ≈ overlapping or containing the reference. Release column in colour: not published for this county in the 2025 release, most recent published release shown.

Compared with state and nation

Measure (crude)Jackson CountySouth Dakota (site aggregate)United States
Obesity40.9%
33.7–48.7
35.9%
in line
32.8%
32.4–33.1 · higher
Diabetes18.6%
16.4–21.1
11.7%
above
12.0%
11.8–12.2 · higher
High Blood Pressure40.2%
36.1–44.4
33.3%
above
34.4%
34.0–34.7 · higher
Current Asthma13.2%
11.6–15.0
10.1%
above
9.8%
9.6–10.0 · higher
COPD12.3%
10.8–14.1
6.7%
above
6.2%
6.1–6.3 · higher
Coronary Heart Disease10.3%
9.2–11.6
6.8%
above
6.4%
6.2–6.5 · higher
Depression22.3%
18.9–26.2
21.2%
in line
20.2%
19.9–20.5 · similar
Current Cigarette Smoking28.5%
24.8–32.6
15.2%
above
11.4%
11.2–11.6 · higher
Binge Drinking15.6%
12.8–18.9
18.8%
in line
15.2%
15.0–15.5 · similar
Physical Inactivity35.2%
30.0–40.9
24.1%
above
24.5%
24.2–24.8 · higher
Health Insurance13.9%
11.3–16.8
8.8%
above
11.0%
10.7–11.3 · similar
General Health31.3%
27.5–35.6
17.3%
above
19.2%
18.9–19.5 · higher
Measure (age-adjusted)Jackson CountySouth Dakota (site aggregate)United States
Obesity41.8%
34.5–49.5
36.2%
in line
32.9%
32.5–33.2 · higher
Diabetes17.1%
15.0–19.4
10.1%
above
10.3%
10.1–10.5 · higher
High Blood Pressure37.9%
33.8–42.3
29.8%
above
30.7%
30.4–31.0 · higher
Current Asthma13.3%
11.8–15.1
10.2%
above
9.8%
9.6–10.0 · higher
COPD11.3%
9.9–12.9
5.9%
above
5.3%
5.2–5.4 · higher
Coronary Heart Disease9.0%
8.0–10.1
5.6%
above
5.3%
5.2–5.4 · higher
Depression22.9%
19.5–26.8
21.9%
in line
20.7%
20.4–21.0 · similar
Current Cigarette Smoking29.8%
25.9–34.0
15.7%
above
11.6%
11.4–11.9 · higher
Binge Drinking16.5%
13.6–20.0
20.5%
below
16.6%
16.3–16.9 · similar
Physical Inactivity34.6%
29.4–40.3
23.3%
above
23.7%
23.4–24.0 · higher
Health Insurance14.4%
11.8–17.3
9.1%
above
11.5%
11.2–11.9 · similar
General Health30.6%
26.9–34.9
16.5%
above
18.3%
18.0–18.6 · higher

Twelve headline measures; the toggle switches crude and age-adjusted. State figures are population-weighted county estimates computed by this site and carry no interval. Age-adjusted figures let counties with different age structures be compared.

ZIP Codes in Jackson County

crude prevalence, highest point estimate first

Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag compares each row's interval with Jackson County by the confidence-interval rule.

ZIP CodesPopulationEstimate95% intervalvs Jackson County
ZIP 575771,09145.4%38.1–52.9similar
ZIP 5754715241.7%34.1–49.5similar
ZIP 5775040541.2%34.0–48.5similar
ZIP 5754375837.3%30.1–44.6similar

ZIP Codes are assigned to the county holding the largest share of their land area; ZIPs that straddle counties appear once.

Cities and places in Jackson County

crude prevalence, highest point estimate first

Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag compares each row's interval with Jackson County by the confidence-interval rule.

PlacesPopulationEstimate95% intervalvs Jackson County
Wanblee67445.4%37.8–52.9similar
Kadoka54335.9%28.9–43.0similar

Estimates by release

What each PLACES release published for Jackson County (crude prevalence with 95% interval). CDC advises that the estimates cannot be used to track local change over time: each release re-models a different survey year onto a fixed population, intervals usually overlap and the interval method changed in 2023. Listed for reference only.

Measure2022 release2023 release2024 release2025 release
COPD11.3%
10.2–12.4
11.7%
10.0–13.6
10.6%
9.5–11.7
12.3%
10.8–14.1
Coronary Heart Disease10.7%
10.0–11.5
10.3%
9.2–11.6
10.4%
9.4–11.4
10.3%
9.2–11.6
Current Asthma12.0%
11.5–12.6
11.9%
10.6–13.5
12.3%
10.8–13.8
13.2%
11.6–15.0
Depression17.3%
16.5–18.2
17.6%
14.7–21.0
19.3%
16.4–22.5
22.3%
18.9–26.2
Diabetes16.4%
15.6–17.2
17.8%
15.6–20.3
15.5%
13.6–17.5
18.6%
16.4–21.1
High Blood Pressure39.4%
38.3–40.4
41.1%
37.2–45.2
40.2%
36.2–44.3
40.2%
36.1–44.4
Obesity38.7%
37.4–39.9
37.9%
31.9–44.6
39.0%
32.7–45.2
40.9%
33.7–48.7
Health Insurance16.6%
14.4–19.1
14.7%
12.0–17.8
9.9%
8.5–11.4
13.9%
11.3–16.8
Binge Drinking17.8%
17.2–18.5
15.1%
12.5–18.2
17.1%
14.0–20.4
15.6%
12.8–18.9
Current Cigarette Smoking30.2%
27.5–32.8
29.6%
25.0–34.0
26.1%
23.3–28.9
28.5%
24.8–32.6
Physical Inactivity32.5%
30.2–35.0
33.5%
28.6–38.5
32.1%
27.9–36.4
35.2%
30.0–40.9
General Health24.0%
21.9–26.2
25.5%
22.3–29.1
25.8%
23.3–28.4
31.3%
27.5–35.6

Questions and answers

What share of adults in Jackson County have obesity, according to PLACES?

PLACES estimates 40.9% (95% confidence interval 33.7–48.7%) in the 2025 release, based on 2023 BRFSS responses modelled onto the area's adult population. It is a modelled estimate for the whole adult population of the area, not a count of diagnoses.

How common is diagnosed diabetes in Jackson County?

PLACES estimates 18.6% of adults (95% confidence interval 16.4–21.1%) in the 2025 release. The national estimate in the same release is 12.0%.

Is Jackson County different from South Dakota on obesity?

The county's interval for obesity includes the South Dakota figure, so the two cannot be told apart by this model.

Can these figures describe a person who lives in Jackson County?

No. CDC states: "We do not produce estimates for individuals; only aggregated results for counties, places, census tracts, or ZCTAs." The figures describe the expected prevalence across the area's adult population given its demographic make-up and its county and state; they say nothing about any resident.

Can Jackson County be ranked or tracked over time with these figures?

CDC advises that the data "should not be used for ranking the overall health of any county, place, census tract, or ZCTA" and that the modelling procedure "does not support using the estimates to track changes at the local level over time". Areas can be compared on individual measures, with their confidence intervals; this site lists estimates by release for reference only.

Where does this data come from?

CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), which models Behavioral Risk Factor Surveillance System responses with Census population and American Community Survey data. Earlier releases (2022, 2023, 2024) are shown for reference. Boundaries and ZIP-to-county relationships are from the US Census Bureau.

Provenance

Source: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), with the 2022, 2023, 2024 releases for reference; US government work, public domain. Dataset on data.cdc.gov. Boundaries and ZIP-to-county relationships: US Census Bureau. Percentages are shown to one decimal as CDC publishes them; state figures are population-weighted means computed by this site. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.