Foster County

Foster County sits at a median home price of $186,436, up 9.15% year-over-year, with an affordability index of 90 out of 100. That price appreciation number is the headline here: it ranks 53rd nationally out of 1,000 counties tracked, landing in the 93rd percentile, and 4th among 43 North Dakota counties. The cash flow score, however, comes in at zero, and the cap rate and cash-on-cash return fields are likewise zero, which tells you this dataset does not support a yield-based underwrite at current pricing. This is not a market you model for monthly spread. It is a market you model for asset appreciation, and the 9.15% YoY price movement is the core thesis.

The appreciation score of 82 and the affordability score of 90 sit in productive tension. Homes are still relatively cheap at $186,436, yet they are moving up at a pace that puts Foster in elite company nationally. That combination points to a specific investor profile: the buy-and-hold appreciation buyer who wants to enter before prices compress the affordability window further. The stability score of 50 tempers that picture, suggesting meaningful volatility or thin liquidity risk, which is consistent with a county of 3,388 people. A value-add operator would need to weigh exit risk carefully given the limited buyer pool at resale. A pure cash-flow buyer should look elsewhere entirely, since the data provides no evidence of a yield margin worth underwriting.

No economic anchors or employer data were provided for Foster County. What the population figure of 3,388 does signal on its own is that this is an agricultural and small-town market where rental demand is thin and concentrated. Vacancy dynamics in markets this size tend to be binary: you are either fully occupied at a stable rate or sitting empty for extended periods with few prospective tenants to call. That is not an argument against the market, but it is an argument for sizing positions conservatively and not assuming rapid re-leasing if a tenant exits.

On carry costs, the combined monthly tax and insurance figure is $207, using a state-average effective property tax rate of 0.98% and an insurance rate of 0.35% on the $186,436 purchase price. That rate is flagged as normal and does not represent a material drag relative to comparable Midwest markets. The caveat worth keeping in your underwrite is that this is a state-average estimate per Tax Foundation 2024 data, and actual county or township rates in Foster may differ. At $207 per month combined, the carry cost is manageable, but on a property with zero demonstrated cash flow margin, it still needs to be covered from rent, and that coverage is not validated by the data provided.

The primary risks here are concentration and liquidity. A county population of 3,388 means the rental pool is small, the resale market is thin, and a single economic disruption, whether an agricultural downturn, a major employer exit, or population outmigration, moves the needle materially. The stability score of 50 reflects this. Regulatory risk is not flagged by the data and is unlikely to be a dominant concern in a rural North Dakota county, but demographic risk is real: if the population trend is flat or declining, the appreciation thesis depends on price-per-unit gains rather than demand-driven absorption, which is a more fragile foundation.

Among the neighboring counties provided, Barnes County at $187,323 median is nearly identical to Foster in price and carries the same overall score of 75, making it the closest direct comparison. Hettinger at $121,524 and Emmons at $135,739 offer lower entry prices with the same overall score of 75, which could appeal to a capital-constrained buyer willing to accept a different appreciation trajectory. Oliver County at $244,648 and an overall score of 74 is priced above Foster with a marginally lower score, suggesting Foster offers better relative value on the scoring model. You choose Foster over its neighbors when the 9.15% YoY appreciation rate is the primary draw and you accept that the national 93rd-percentile ranking on price momentum is the differentiating factor no neighbor in this dataset currently matches.