Oglala Lakota County, SD

Key HUD figures for Oglala Lakota County, SD

Fair Market Rents by bedroom

Limits that sit above the area median they are measured against

The Very Low and Low thresholds exceed the area median family income

Reading the four-person column against the $35,700 area median: Extremely Low is $33,000, or 92.4% of it; Very Low is $47,250, or 132.4%; Low is $75,600, or 211.8%. Both of the upper thresholds are larger than the median itself, and the lowest one nearly reaches it.

Across the whole dataset, 4 records have a four-person Very Low limit above their own area median family income, and this is the largest of the 4. The others are Todd County, also in South Dakota, at 111.2%, Sioux County in North Dakota at 111.3% and Starr County, Texas at 108.1%. No record anywhere has an Extremely Low limit above its own median.

These are the figures HUD publishes, reproduced without adjustment; the reasoning behind them is set out in the methodology released alongside its income-limits dataset, and is not inferred here. What the table shows is that the thresholds are not a fixed fraction of the area median — at the other end of the same ratio, Santa Clara County, California pairs a $205,500 area median with a four-person Low limit that is 79.0% of it.

The South Dakota median rent, and the lowest area income in the state

An ordinary South Dakota rent against the state's smallest area income

The rent side of this page is unremarkable within the state: $929 is the South Dakota median two-bedroom figure and 33 other records there publish it, out of 23 distinct values across 66 records. The income side is not — $35,700 is the lowest of the 66, and no other South Dakota record is at it.

That combination puts the rent-to-income benchmark at 31.23%, the highest in South Dakota and 4,753rd lowest of the 4,764 records here. As on every page, the benchmark compares HUD's rent standard with HUD's income standard for the area; it is not a measurement of local rents or local earnings.

Rent benchmark vs HUD Median Family Income

HUD area for this county

National economic context

The figures below are federal and national. They are not specific to Oglala Lakota County and do not vary between counties.

Inflation (official BLS CPI-U national series)

Purchasing power decision engine

IRS reference

Publication 15-T (2026) — Federal Income Tax Withholding Methods. Official IRS publication →

Reference only. GovCalculator does not compute federal income tax withholding. The publication's withholding methods and tables are not ingested or modelled here.

Sources & methodology

HUD income limits and Fair Market Rents are taken from the fiscal-year tables HUD publishes per HUD-defined area — which can include more than one county — and joined to this county record. State comparisons are computed across the 2BR Fair Market Rents of the county records in the same state; the median uses the middle value and is not weighted by households or population, rank 1 is the highest rent in the state, and county records with identical rents share a rank.

The income figure used throughout this page is HUD's Median Family Income for the HUD area above. It is not a Census median household income and the two are not interchangeable.

The purchasing power module applies a historical CPI ratio: Adjusted = Nominal × CPI(to) / CPI(from). No interpolation is applied and missing months are not imputed; CPI-U is a historical index, not a forecast. The “STABLE” target adds a fixed +10% buffer over the local HUD Median Family Income — that buffer is a GovCalculator heuristic, not a HUD, BLS or IRS determination.

The CPI-U series is the official BLS CUUR0000SA0 index, not seasonally adjusted, taken from the published BLS series: 36 published monthly observations. Months BLS did not publish are not interpolated. IRS Publication 15-T is cited as an official reference only — no federal withholding is calculated anywhere on this site.

Verify eligibility requirements with local program administrators: household size, deductions, and program-specific definitions can materially change outcomes.

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