Pope County
Market Snapshot
Pope market analysis
Pope County, Minnesota sits at a median home price of $344,441 with year-over-year appreciation of 4.4%, and the data positions it clearly toward the appreciation end of the spectrum rather than the cash-flow end. The cash-flow score registers at zero, which is the most telling number in the dataset. The overall score of 66 places Pope in the 70th percentile nationally across the 1,000-county sample, and 39th out of 87 Minnesota counties, meaning it outperforms most of the state but not because it pencils as a cash-flow play. The appreciation score of 84 is the engine here, and at a population of 11,312 that level of home price appreciation is notable for a rural Minnesota county. The affordability index of 56 reflects real purchase-price pressure relative to local incomes, which constrains both the buyer pool and the ceiling on achievable rents.
The zero cash-flow score should be the first filter for any investor evaluating this county. If your underwriting model requires monthly net operating income to cover debt service at today's 6.85% rate on a $344,441 purchase with 20% down, the numbers as reported do not support that thesis. This is not a county for the yield-focused buyer who needs the property to carry itself from day one. The 84 appreciation score makes a stronger case for a long-horizon buyer willing to accept neutral or slightly negative cash flow in exchange for price growth, similar to how suburban coastal markets are often underwritten: you buy the asset, you manage the carry, and you wait for the gain. A value-add operator might find a path here if the purchase price can be negotiated below median and if a renovation meaningfully moves rents, but the thin population base of 11,312 caps the pool of qualified tenants and limits the frequency of deal flow.
The economic context matters here precisely because of that population figure. A county with fewer than 12,000 residents has very limited diversification in its employment base, and the data does not provide specific economic anchors or employer names for Pope County. What the stability score of 50, exactly at the midpoint, does suggest is that the county is neither a recession-resistant employment hub nor a structurally declining market. It sits in the middle, which in a small rural county often means dependence on agriculture, a regional hospital, or a small college, but without confirmed anchor data, that stays an inference rather than a fact. The 4.4% YoY price growth in a county this size does imply some demand pressure, whether from remote workers, second-home buyers, or regional migration, but the data does not specify the source.
On carry costs, the combined monthly tax and insurance estimate comes to $425, using a state-average effective property tax rate of 1.13% and an insurance rate of 0.35%. That $425 figure is meaningful in the context of a zero-reported cash flow: it represents a real monthly drag that has to be accounted for before you even reach mortgage principal and interest. The 1.13% tax rate is tagged as "normal" relative to the state average, so it is not a special penalty or a tailwind, just a baseline cost to model. Bear in mind this is a state-average estimate per Tax Foundation 2024 data, and actual Pope County or township-level rates may differ, so pull the county assessor's current mill rate before finalizing your underwrite.
The primary risk here is concentration. A population of 11,312 means the rental market is thin by definition. Vacancy in a small-county rural market can swing dramatically on the loss of a single employer or a demographic shift, and a landlord with two or three units may feel that move immediately. There is no vacancy data provided, but the combination of a small population, a 56 affordability index, and a zero cash-flow score means the margin for error on tenant turnover is narrow. Regulatory risk at the county level is not flagged in the data.
Against its neighbor set, Pope sits at the highest median price point in the group at $344,441, above Houston County ($324,551), Olmsted County ($337,521), Blue Earth County ($293,828), and Mille Lacs County ($298,869), with only Mower County at $195,984 being materially cheaper. Of the neighbors with rent data, Olmsted delivers a gross rent-to-price ratio of 5.96% and Blue Earth 6.09%, both of which likely pencil closer to neutral or mildly positive cash flow than Pope does. If cash flow is the objective, Blue Earth or Olmsted give you a better starting ratio at a lower entry price. Olmsted's overall score of 65 is close enough to Pope's 66 that it deserves a direct comparison underwrite. You choose Pope over its neighbors specifically when you believe in the appreciation trajectory, are comfortable absorbing carry costs at a 6.85% rate, and have a hold horizon of at least five to seven years. If you need the rent to cover the mortgage today, the neighbor data points you elsewhere.
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 4.4% YoY price growth. Moderate growth (3-8%) scores highest.
Population data not available.
Based on price relative to estimated local incomes.
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
- -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)
Compare to Nearby Counties
The Bottom Line
Pope County in Minnesota scores 66/100, ranking #233 of 1,000 US counties (top 30%). 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.
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Head-to-head comparisons
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Frequently asked questions
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