States / South Dakota
State rental intelligence

South Dakota rental market data

A source-traced view across 9 metro markets and 66 counties. State figures below are labelled medians and totals—not a made-up statewide investment score.

5/9 metros scored66/66 counties with FEMA risk10 sources used in this analysis
Median scored metro63.0out of 100 · 5 measured metros
South Dakota identity diorama showing regional landscape, cities, housing, and infrastructure
Median metro home value$329kmedian across published metro values
Median metro rent$1,263monthly · published metro values
Median gross yield4.6%annual rent ÷ price · before costs
Median job trend▲ 0.1%trailing 12-month metro employment
State research brief

Median rent growth exceeded home-value growth by only 0.25 percentage point across measured metros, while Aberdeen’s calculated 7.9-point gap and near-flat metro job growth make the screening case highly local.

Updated 2026-07-31 · evidence current to the releases listed below.

Across nine measured South Dakota metros, median home-value growth was 3.4% year over year; among the five with rent-growth data, median asking-rent growth was 3.6%. That narrow aggregate gap does not show broad rent-price separation. Aberdeen is the exception: rent rose 14.6% while its home value rose 6.7%, a calculated difference of 7.9 percentage points.

The demand evidence is less decisive. Median job growth across nine metros was 0.06%, and measured migration was positive, but mover income outflows exceeded inflows by $77,979. Resale conditions also range from 2.2 months of supply in Sioux Falls to 5.3 months in Spearfish. The packet therefore supports locality-by-locality screening, not a South Dakota investment score. It cannot establish realized lease rents, net operating income, property condition or whether recent rent growth will persist.

01

Median metro rent growth of 3.6% versus 3.4% home-value growth, but a calculated 7.9-point gap in Aberdeen → underwrite rent momentum locally rather than as a statewide tailwind

02

Positive net migration of 1,423 alongside 0.06% median metro job growth and a negative mover-income gap → require local employer and tenant-income evidence

03

Spearfish at 5.3 months of supply, 73 days on market and a 96.6% sale-to-list ratio → include negotiation room and a longer resale timeline in that market’s screen

04

County vacancy can coexist with renter burdens near or above 50% → distinguish total vacant housing from rent-ready inventory and test tenant affordability

05

Investor shares of 30.0% to 50.0% in the named counties came from only two to 10 total purchase originations → use transaction counts before inferring investor competition

01
Price and rent momentum

Aberdeen’s rent surge sits well outside the measured metro pattern

Home-value growth across nine measured metros had a median of 3.4%, with the measured distribution running from 0.9% at the 10th percentile to 5.9% at the 90th. Rent growth, available for only five metros, had a 3.6% median and a wider 2.1% to 10.3% range. The supplied median difference was just 0.25 percentage point, so the broad measured pattern is close alignment rather than a major split.

Aberdeen diverged: its rent rose 14.6% against 6.7% home-value growth, a calculated 7.9-percentage-point spread. Its measured value was $245,097, rent was $1,047 and gross yield was 5.1%. Sioux Falls posted 4.0% rent growth and 1.4% value growth, while Rapid City recorded 3.6% and 2.1%, respectively. Aberdeen’s rent move warrants direct lease-comparable and renewal checks; an asking-rent index and gross yield do not establish collected rent or net return.

Evidence: Zillow ZHVI — metro home values · Zillow ZORI — metro market rents

02
Employment and household movement

Positive migration is tempered by flat job growth and an income outflow

Median job growth across nine measured metros was 0.06%, with the distribution extending from a 0.8% decline at the 10th percentile to 1.6% growth at the 90th. Brookings and Rapid City each recorded about 1.6% growth, while Sioux Falls was at 0.3%. The metro median therefore does not show a broad employment surge, even though selected markets were stronger.

Across 62 counties with migration data, net migration was positive by 1,423 people, or 1.57 per 1,000 residents. The counter-signal is income: aggregate mover adjusted gross income outflows exceeded inflows by $77,979. These measures support checking local employers and tenant income rather than treating population movement alone as rental demand. They do not identify how many movers formed renter households, and their source periods do not fully align with the current housing indicators.

Evidence: Census ACS 5-year — population · BLS CES — payroll employment · BLS LAUS — resident employment · IRS SOI — county migration and mover income

03
Supply and resale conditions

Sioux Falls combines a large permit pipeline with tight resale supply

The nine-metro distribution had a median of 3.5 months of supply, 40 days on market and price drops on 22.2% of listings. Sioux Falls stood out among the named building markets with 2,724 permitted units, or 9.14 per 1,000 residents, while resale supply was 2.2 months and median marketing time was 34 days. Price drops still appeared on 22.2% of listings. Rapid City had 1,106 permits, or 7.23 per 1,000 residents, alongside 3.8 months of supply and 60 days on market.

Spearfish showed the clearest resale-friction counter-signal among the named metros: 5.3 months of supply, 73 days on market, price drops on 19.3% of listings and a 96.6% sale-to-list ratio. Those measures indicate more room for price and exit-time scrutiny than the Sioux Falls figures. Permits remain a pipeline measure, however; the packet does not show completions, unit type or whether permitted homes will enter the rental stock.

Evidence: Census Building Permits Survey — permitted units · Redfin Data Center — inventory, days on market, and price cuts

04
Housing stock and tenant conditions

High vacancy does not resolve renter stress in the county data

Across 66 measured counties, the vacancy-rate distribution had a 17.0% median and ranged from 8.1% at the 10th percentile to 25.8% at the 90th. The median renter share was 26.4%, while the median share of renters spending at least 30% of income on rent was 33.1%. The median of county median-year-built measures was 1972, which makes property age relevant to inspection and capital-cost screening without establishing actual condition.

Tripp County combined an 18.3% vacancy rate with 57.3% of renters cost-burdened. Clay County had 11.4% vacancy, a 49.2% renter share and 49.2% renter burden; Pennington County had 10.3% vacancy and 48.7% renter burden. At the other end, Marshall County’s vacancy rate was 32.2%, but its renter share was 19.7% and 83.2% of housing was single-family. Countywide vacancy includes housing that may not be available or suitable for long-term renters, while high burden signals limited tenant capacity rather than automatic rent upside.

Evidence: Census ACS 5-year — county housing value, tenure and stock

05
Investor participation

The highest investor shares depend on very small purchase counts

Across 63 measured counties, the median investor share of purchase originations was 8.3% and the 90th percentile was 17.5%. Statewide measured totals were 858 investor purchase originations out of 9,535 purchases, equal to 9.0% by calculation.

The headline county percentages are fragile. Corson County’s 50.0% share represented one investor purchase out of two total purchases; Todd County’s 50.0% represented three of six; and Haakon County’s 30.0% represented three of 10. Counts should therefore carry more weight than the percentages when screening competition. HMDA purchase originations do not establish bidding intensity, recurring demand or activity outside the measured originations.

Evidence: HMDA / CFPB — purchases by occupancy type

Evidence selected for South Dakota

The ranges behind the analysis

Each row keeps its own unit and shows the measured 10th percentile, median and 90th percentile. A single-value row is labelled directly.

Price and rent momentumAre home values and asking rents moving together or separating?
10th pct.median90th pct.Home-value change0.9%3.4%5.9%Asking-rent change2.1%3.6%10.3%Rent minus price0.3%
Employment and household movementDo jobs, household movement and mover income point in the same direction?
10th pct.median90th pct.Job change-0.8%0.1%1.6%Net migration / 1k1.6Net household movement1,423
Supply and resale conditionsWhat do permits, inventory, marketing time and price cuts say about pressure?
10th pct.median90th pct.Permits / 1k1.54.68.0Months of supply1.9×3.5×4.1×Days on market27 days40 days65 daysListings with cuts17.9%22.1%36.8%
Shape of the state

Distribution before conclusion

A statewide median can hide a wide spread. These SVG charts render at build time and carry no chart library or browser-side data request.

Metro score distribution5 scored metros · median 63.0
00–19120–39140–59360–79080–100
County evidence coverageEvery gap stays visible as missing—not estimated
17%11/66Rent100%66/66Climate94%62/66Migration
Highest measured metro gross yieldsscreening metric only · before expenses and financing
Sioux City6.7%Pierre5.7%Aberdeen5.1%Rapid City4.6%Sioux Falls4.6%Mitchell4.4%Watertown4.0%
Metro leaderboard

Markets touching South Dakota

Multi-state CBSAs appear in every member state. Score is still a metro score; no value is reweighted into a statewide ranking.

#MetroScorePriceRentYieldJobs
1Aberdeen, SD75$245k$1,0475.1%▼ 0.3%
2Brookings, SD68$329k$1,0844.0%▲ 1.6%
3Sioux Falls, SD63$344k$1,3104.6%▲ 0.3%
4Rapid City, SD58$376k$1,4554.6%▲ 1.6%
5Sioux City, IA39$227k$1,2636.7%▼ 1.0%

Showing the top 5 scored metros of 9. Unscored metros remain discoverable through the national rankings.

Below the metro line

Largest counties in South Dakota

County figures join on the five-digit FIPS code. The table uses measured local values and prints “n/a” wherever a publisher has no record.

CountyPopulationPriceRentYieldHazard
Minnehaha County, SD203,289$331k$1,2914.7%inland flooding
Pennington County, SD113,512$369k$1,4604.8%inland flooding
Lincoln County, SD70,638$386k$1,3504.2%inland flooding
Brown County, SD37,877$246k$1,0475.1%inland flooding
Brookings County, SD35,353$329k$1,0844.0%inland flooding
Meade County, SD30,546$401k$1,4064.2%inland flooding
Codington County, SD28,767$350k$1,2124.2%inland flooding
Lawrence County, SD27,233$455k$1,4283.8%inland flooding
Yankton County, SD23,414$284kn/an/ainland flooding
Davison County, SD19,952$258k$9834.6%inland flooding
Beadle County, SD19,309$194kn/an/ainland flooding
Hughes County, SD17,664$300k$1,4275.7%inland flooding
County yield sample11/66counties have the rent needed to compute yield
Statewide net migration+1,423IRS tax-return households summed across counties
Median investor share8.3%among counties with HMDA purchase records
Sources used in this analysis

Measured releases, not a global source count

Only sources supporting the selected evidence modules are listed here.

Bear case

What can break the thesis

  1. Year-over-year rent growth is available for only five of nine measured metros, so the apparent pattern has a material South Dakota coverage gap.
  2. Gross yields use measured value and rent without operating expenses, vacancy loss, financing, maintenance or capital work; they are not net returns.
  3. Employment, migration, housing-stock and current listing measures cover different periods and geographies, so they cannot be treated as one synchronized market reading.
  4. Permits do not show completed rental supply, while countywide vacancy does not identify units that are available, habitable or appropriate for long-term renters.
  5. The largest county investor shares are based on very small HMDA purchase-originations counts and may not represent stable competitive conditions.
Investor questions

Before underwriting a property

Are rents broadly separating from home values in South Dakota’s measured metros?

Not broadly. Median rent growth was 3.6% versus 3.4% home-value growth, a 0.25-percentage-point gap. Aberdeen was the clear named exception, with rent growth exceeding value growth by a calculated 7.9 points.

Does positive migration confirm strong rental demand?

No. Net migration was positive by 1,423 across 62 measured counties, but median metro job growth was 0.06% and mover income outflows exceeded inflows by $77,979. The data do not identify how many movers became renters.

Which named metro shows the most resale leverage?

Among the named metro examples, Spearfish had the softest combination: 5.3 months of supply, 73 days on market and a 96.6% sale-to-list ratio. Those market measures do not guarantee a discount on a specific property.

Do high county vacancy rates mean rental units are readily available?

Not necessarily. The vacancy measure covers all housing. Marshall County, for example, had 32.2% vacancy but only a 19.7% renter share, and 83.2% of its housing was single-family.

Do the highest investor-share counties show heavy investor competition?

The packet cannot establish that. Corson County’s 50.0% share was one investor purchase out of two, Todd County’s was three of six, and Haakon County’s 30.0% was three of 10. The denominators are too small to treat the percentages alone as durable competition signals.