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Insights Care deserts South Dakota

Care access · Health need meeting barriers to care

Health need and barriers to care in South Dakota

Some South Dakota ZIP codes carry two things at once: an elevated documented burden of health need, and real barriers to reaching care. This page is scoped to South Dakota.

South DakotaData release 2026Documented inputs

Across parts of South Dakota, the same ZIP codes show elevated health need and limited access to care together. Here is what each of those two axes measures — and how we read the overlap without ever claiming one causes the other.

How we measure this →
Health needSix measuresZCTA-native

The need axis reads six measures of health need for each ZIP code: how many people lack insurance, live in poverty, or face food or housing insecurity, alongside the share reporting fair-or-poor health and the local burden of chronic conditions. A ZIP reads high-need when several of these are elevated at once.

Barriers to reaching careSix measuresDistance + supply

The access axis reads six barriers to reaching care: distance to the nearest emergency room and to the nearest community health center, how thin the local supply of physicians and pharmacies is, how many households have no vehicle, and how limited home internet is for telehealth. A ZIP reads low-access when several of these barriers stack up.

What this is — and isn't. These are two things established for the same place: an elevated burden of health need, and barriers to reaching care. This page does not claim one causes the other, does not say anyone is underserved because of their health, does not combine the two into a single risk number, and does not rank areas by how "bad" the overlap is. It reports where both are elevated together, measured against ZIP codes across the country, and nothing more.

South Dakota ZIP codes where need and access overlap

The ZIP codes (ZCTAs) in South Dakota where documented health need and barriers to reaching care are both elevated. Each one sits in the most-affected 10% of US ZIP codes on several measures of each — the comparison is national, and this list is South Dakota only. Each is tagged by how pronounced the overlap is — see the two labels below.

Severe care-access deficitelevated on both axes at the state's most pronounced levelAcute care-access deficitelevated on both axes, a step below severe
  • 57752in KyleSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57756in MandersonSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57642in Mc LaughlinSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57555in MissionSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57764in OglalaSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57566in ParmeleeSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57770in Pine RidgeSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57772in PorcupineSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57572in Saint FrancisSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57794in Wounded KneeSevere care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes across a broader set of measures on both axes.

  • 57621in BullheadAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

  • 57625in Eagle ButteAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

  • 57339in Fort ThompsonAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

  • 57639in Little EagleAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

  • 57548in Lower BruleAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

  • 57257in PeeverAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

  • 57570in RosebudAcute care-access deficit

    Documented health need here overlaps with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several measures of each.

Coverage & how to read this

Read from public data, area by area — not a statement about any individual. A ZIP appears here only when enough of the underlying measures are observable to compute both axes; where too many are missing, its overlap is shown as not computed — limited data, never as "no deficit." A ZIP that is measured and simply does not carry the overlap is not listed either — absence from this list is never a claim that a place is fine. The comparison is national — a ZIP appears when it sits in the most-affected 10% of US ZIP codes on several measures of each axis — and this list is South Dakota only. Read the full methodology →

Each ZIP links to its full ZipVitals page. South Dakota only — the national list is on the explainer page.