What Almanac is for. The point isn't to spit out a magic score. It's to look at the same question from enough angles that we can make better decisions. The question: can we build a place-based food business that's good for the food system, worth visiting, and able to last, and where? We're testing that. Where to build and what to build both stay open, and nothing here is a recommendation.
Being honest about what we know. Every important claim gets a tag: Fact, Inference (what we think), Anecdotal or operator claim (what someone told us), or Unknown. Unknown stays unknown; we don't turn it into a tidy estimate. If a source made a claim without a real citation, we mark it [UNTRACED] until we can trace it back to the original.
Better sources beat convenient ones. Official, first-hand data beats modeled numbers, which beat things scraped off the web or claimed by an operator. We treat operator and social-media claims as leads to check, not facts, before anything goes in front of a client.
National and local data stay separate. National data lets us compare places on the same footing. Local research tells us what one place is actually like. We never blend them into a single number, so a rich local picture can't disguise itself as a fair comparison. That separation is what keeps this honest.
We test the models, we don't assume them. The models are forms this could take, not decisions. Every one has to explain its economics (what pays for what, and where patient capital enters), and we're honest that we know more about some than others: food hubs are well studied, while farm stays, destinations, and shared-land campuses have thin public numbers. Thin evidence doesn't mean bad economics. It means we can't tell yet.
What we don't know becomes a question. We don't hide the gaps. They go in Open Questions, sorted so the ones that matter most and that we can actually answer rise to the top, with a note on how we'd answer each. The goal is a tool that's harder to fool ourselves with.
Use what already exists. For categories, regions, and data limits, we lean on trusted existing work and note the alternatives, rather than inventing our own.
The county tool, one way to look inside Landscape
What it is. Instead of picking counties to fit a hunch and then ranking them, it scores the whole country first and lets the strongest places earn a closer look. The score is a simple weighted average of the factors you turn on, using only the factors a county has data for. Every row shows how much data it's based on. It's one way to look inside Landscape, not the whole of Almanac.
The five factors. Market access: population, household income, and whether it's near a metro; can you reach a paying audience. Local-food economy: total direct-to-shopper farm sales plus how many farmers markets. Agritourism: farm-visit income plus how many farms offer it. Climate risk: FEMA's expected yearly loss rate, so a high score means more hazard (fire, drought, flood, heat) and counts against a county. Food-access need: the share of people who live far from a grocery store, i.e. food access. This is one possible piece of food-system impact, not the whole mission, so counting it as a plus is a values call, and it starts turned off. We have not decided how impact should be measured, and the real question is bigger than any of these five: producer viability, regional food economies, land stewardship, value retention, education, community, resilience, and more. We don't let the datasets we happen to have today define the mission.
Sources. USDA ERS Food Environment Atlas 2025 for local foods, access, and socioeconomic data. FEMA National Risk Index v1.20 for hazard. County outlines from the US Census (via the us-atlas project), loaded when the map opens. Variable years differ (markets 2018, direct sales and agritourism 2017, income 2021, access 2015), so treat this as a dated snapshot.
Slow Stays overlay. Points are US operators from the Stay In Good Company podcast plus reference examples we track (Blackberry Farm, Stone Barns, White Oak Pastures, Beltane, True Grass, Fox Hollow, Scribe, Old Salt, Apricot Lane, and others), placed at approximate town coordinates. They show where this kind of place already clusters, useful to read against the opportunity hotspots. Not exhaustive (an earlier run of podcast episodes is not yet added), and not an endorsement.
What is deliberately missing. No land-price or permit lens at national scale yet, and no true drive-time market radius (metro status is the proxy). Land-in-transition, the old gate, is not here as a national layer either; when added it becomes one input among many. These are honest gaps, not hidden weights.