Jackson market analysis
Jackson County, South Dakota presents one of the most challenging investment profiles in the dataset, ranking 776th out of 1,000 counties nationally and 48th out of 50 counties within South Dakota. The core problem is structural: the investment estimate fields for cap rate, cash-on-cash return, estimated cash flow, and monthly mortgage all return zero, which signals that the rental market here is too thin to generate reliable rent comparables. Without a defensible rent estimate, no underwriting model can produce meaningful return figures, and any investor who fills in those blanks with optimism is taking on model risk, not just market risk. What the data does show is a median home price of $128,543, down 14.68% year-over-year, a median household income of $26,078, and an affordability index of 56, meaning the market is moderately accessible to local buyers but the income base is narrow. A 14.68% price decline in a single year is not a correction, it is a signal worth taking seriously.
The cash-flow score is zero and the appreciation score is zero. Those are not rounding artifacts; they reflect a county that scores at the bottom of both primary return dimensions simultaneously. This is not a market suited to the cash-flow buyer looking for yield, nor to the appreciation buyer positioning for price growth. A value-add operator might look at the $128,543 median price and see a low basis entry point, but value-add investing requires an exit strategy, a refinance or a sale, and a county with a 14.68% trailing price decline and a population of 2,838 offers very limited buyer depth for either. The stability score of 50 is the only figure that keeps this from being an outright avoid across every dimension, but a middling stability score in a county this small means roughly that nothing catastrophic has happened recently, not that conditions are favorable.
No economic anchors or employer data were provided for Jackson County, so no claim about job drivers or institutional demand can be made. What the population figure does tell you is that 2,838 residents spread across a South Dakota county implies very low housing unit count, limited tenant pool turnover, and the kind of market where a single vacant property can sit for an extended period without a qualified tenant appearing. Rental demand in markets this small is often driven by a handful of employers or one dominant industry, and the absence of anchor data here is itself a data point: there are no obvious institutional stabilizers to cite.
On carry costs, the state-average effective property tax rate of 1.28% is in normal territory and does not create the same underwriting drag you would face in high-tax states. At a $128,543 purchase price, the blended monthly tax and insurance figure comes to $176, which is manageable on an absolute basis. The caveat that applies here, as the source note specifies, is that this is a state-average estimate from Tax Foundation 2024 data, and actual county or township rates in Jackson may differ. At this price point and this rate, taxes and insurance are not the primary obstacle to making numbers work; the obstacle is the absence of a functioning rental market with enough comparable transactions to anchor a rent estimate.
The concentration risk here is severe. A population of 2,838 means the entire county's housing demand can shift materially from a single employer closing, a drought cycle affecting agricultural income, or continued outmigration. The year-over-year price decline of 14.68% suggests at least one of those pressures is already active. Regulatory risk is harder to assess without specific data, but rural South Dakota counties generally do not impose the landlord-hostile regulatory frameworks seen in larger metros, so that dimension is likely benign. The meaningful risks are demographic thinning and illiquidity.
Compared to its neighbors, Jackson County is the lowest-priced option by a wide margin: $128,543 versus $190,297 in Campbell, $199,769 in Bennett, $226,489 in Sanborn, $352,137 in Butte, and $438,033 in Lawrence. It also carries the lowest overall score of the group at 32, with every neighbor scoring between 38 and 46. Lawrence County, the only neighbor with both a rent figure and a price-to-rent ratio in the data, shows a rent-to-price ratio of 4.36%, which is itself thin but at least represents a functioning rental market at a $1,593 median rent. An investor choosing between these counties should recognize that Jackson's price advantage does not compensate for the complete absence of rental market data, a 14.68% price decline, and a population base too small to absorb vacancy. Any of the neighboring counties with higher scores offers a more defensible underwriting foundation, even at a higher acquisition cost.
Price History
Median Home Price
Median Rent
Historical data from Zillow ZHVI/ZORI
Score Breakdown
Rent data not available for cash flow calculation.
Based on -14.7% YoY price growth. Moderate growth (3-8%) scores highest.
Population data not available.
Price-to-income ratio of 4.9x. Lower ratios indicate more affordable markets.
Scores are calculated using real Zillow home value and rent data, Census population data, and economic indicators. The weighted average produces the overall investment score. Markets with missing rent data use estimated values based on regional averages.
Investment Outlook
Strengths
No significant strengths identified based on current data.
Challenges
- -Declining home values (-14.7% YoY)
- -Negative leverage (cap rate 0.0% < mortgage rate 6.9%)
- -Limited rent data (estimates used)
Economic Indicators
Who this market fits
- −You can't tolerate negative leverage (cap rate below mortgage rate today)
- −You expect appreciation to carry the deal, but prices have declined year over year
- −You want a market with broad institutional consensus on fundamentals
Compare to Nearby Counties
The Bottom Line
Jackson County in South Dakota scores 32/100, ranking #776 of 1,000 US counties (top 99%). At 20% down and current rates, a median-priced rental roughly breaks even on cash flow. The deal works on appreciation or with better terms, not on month-one cash flow.