Modoc County

Modoc County sits at the far northeastern corner of California with a median home price of $198,633, making it the most affordable county in the state by this tool's rankings and placing it in the 91st percentile nationally out of 1,000 counties scored. Home prices are up 3.66% year over year, and the affordability index comes in at 87. What the data does not show is a meaningful cash-flow score: both the cash-flow score and the calculated cap rate return zeros, which tells you plainly that rental income data sufficient to model cash-on-cash returns is either thin or absent for this market. That is itself a signal. With a population of 8,651, Modoc is a micro-market where rental comps are sparse, lease-up timelines are unpredictable, and a single vacant unit can swing your annual return materially. The appreciation score of 82 is the number doing the real work here, suggesting this is a market the model reads as having upside in asset value rather than reliable monthly spread.

The investor this market suits is a long-horizon appreciation buyer who is comfortable with thin liquidity and does not need the property to carry itself from month one. The $198,633 median price is the primary draw: at roughly 55 cents on the dollar compared to neighbors like Madera County ($416,542) and Imperial County ($367,307), you are buying California real estate at a fraction of what comparable square footage costs elsewhere in the state. If you believe in mean-reversion or in California's broader land scarcity story playing out even in remote markets, Modoc is a low-basis entry point. A value-add operator could theoretically acquire here cheap and force equity, but the exit pool is shallow. A cash-flow buyer should look elsewhere: without a populated cap rate or cash-flow figure in the data, there is no number to underwrite against, and the market's size suggests you would be betting on a handful of tenants in a county with fewer than 9,000 people total.

No economic anchors or employer data were provided for Modoc County, so the demand-side story cannot be told with any precision. What the population figure alone communicates is concentration risk: when your entire addressable renter pool is measured in the low thousands, any structural shift in local employment, services, or out-migration hits occupancy faster and harder than it would in a larger market. That is not a fabricated risk; it is arithmetic.

On carry costs, the state-average effective property tax rate of 0.73% is flagged as normal, and with an honest caveat that county and township rates may differ, it translates to roughly $1,450 annually on a $198,633 purchase. Combined with an estimated $338 in annual insurance, the monthly tax-and-insurance load is approximately $149. That is a manageable number relative to the purchase price and does not represent the kind of drag that, say, a 1.7%-plus tax state would impose. The insurance figure at 0.17% of value is also modest, though investors should verify whether standard carriers write policies in a remote, rural county at that rate or whether surplus-lines pricing applies in practice.

The central risk in Modoc is not regulatory or demographic in any complicated sense; it is simply scale. A county with 8,651 residents offers almost no cushion against vacancy. There is no diversified employment base implied by the data, no secondary demand driver from a university or military installation mentioned, and resale liquidity will be limited to a small buyer pool. If a tenant leaves and the property sits vacant for 60 days, you feel it. If the local economy softens and two or three properties hit the rental market simultaneously, pricing power evaporates. Concentration risk here is structural, not cyclical.

Compared to its neighboring counties in this dataset, Modoc's overall score of 74 leads the group: Kings County scores 59, Imperial 57, Madera 57, and Tulare 55. All four neighbors show rent-to-price ratios between 0.053 and 0.065, which are actual cash-flow-generating markets with median rents in the $1,619 to $2,264 range and home prices clustered between $354,000 and $417,000. If you need a property that services its own debt from rental income, any of those four counties gives you a quantifiable spread to underwrite; Modoc does not, based on the available data. You choose Modoc over a neighbor only if your thesis is explicitly appreciation and capital preservation at a low basis, you have the liquidity to absorb vacancy without stress, and you are not dependent on the asset to generate monthly income. For a cash-flow buyer or anyone who needs the numbers to pencil from day one, Kings County at a 0.0595 rent-to-price ratio or Madera at 0.0652 gives you an actual return to model.