Takeaways

Synthesis

1. The rural food system is built to move commodities, not feed people. Missouri’s rural counties are optimized for exporting grain, feed, and livestock — which is why the top-exporting counties (Carter, Barry, Saline, Audrain, Shannon) also carry above-average food insecurity. Carter exports more food than any rural county in the state and is among the most food-insecure. Region G confirms it locally: Wright County has the region’s worst food-uncertainty rate (25.8%) in the middle of farm country. The gap isn’t production. It’s that nothing in the middle is built to turn local production into local food.

2. Proximity to a store is not access, and access is not nutrition. Kendall found no consistent link between dominant retailer presence and healthy food availability. Walmart and Dollar General saturate rural markets — Dollar General’s footprint is wide but its inventory rarely supports a healthy diet. Region G shows fast-food outlets outnumbering fresh-produce sellers roughly 3-to-1. This is exactly why the field is moving from “food security” (can a household get calories) to “nutrition security” (can it get food that prevents disease). Store counts and SNAP-retailer maps measure the wrong thing.

3. The missing layer is midstream — and that’s where the money now is. All three solution-oriented documents land in the same place: small-scale processing, cold storage, aggregation, and diversified retail (co-ops, mobile markets, farm stops) rather than more stores. Food is Medicine supplies the revenue case: $21.6B in direct local spending multiplying to $45.6B, with $5.6B/year reaching small and mid-sized farms — but only where policy explicitly requires local sourcing. Without that rule, the dollars default to national distributors. FreshRx Oklahoma at 100% local and Recipe4Health at 100% within 250 miles prove it’s operable, not theoretical.

4. Food insecurity is a health-cost problem, which is the strongest funder frame you have. $160B a year in U.S. healthcare and indirect costs, plus $18.85B in education costs. Region G puts a face on it: life expectancy two years below the state (Wright County 73.1), hypertension at 45.19% in Wright, chronic respiratory deaths at 370 per 100,000, one physician per 4,152 residents. The FIM literature closes the loop — the same dollar can reduce a health cost and buy from a local farm. That reframes a farm stop from a food charity into health infrastructure, which opens doors that hunger framing does not.

5. Legitimacy comes from local ownership, and Wright County’s specific gap is civic, not logistical. The HRBA/PANTHER framework treats participation by the most food-insecure people as a precondition from the assessment stage, not a consultation after design. Missouri EATs operationalizes that with a 6–10 person Local Leadership Team and tiered outcomes (knowledge → behavior at 6–12 months → conditions at 2 years) — a ready-made evaluation spine.

Big Ten Concepts

Beyond Access: A Systems View of Food Flow, Market Power, and Rural Vulnerability in Missouri

1. Rural Missouri splits into two structurally distinct county clusters, not just “more” vs. “less” needy places. Cluster 0 (deeply rural, RUCC 8.5) faces fragile markets but plays hidden bridging roles; Cluster 1 (RUCC 6.5) is better connected logistically but has weaker civic infrastructure. Wright County is classified in Cluster 1. (p. 7–10)

2. The rural food system is built to move commodities, not feed residents. Missouri’s rural counties are optimized for exporting raw grain, feed, and livestock — not for getting food onto local shelves. (p. 16, 26)

3. Producing more food doesn’t mean eating better locally — the “paradox of production and insecurity.” Top exporting counties (Carter, Barry, Saline, Audrain, Shannon) also post above-average food insecurity and affordability burdens; Carter exports more food than any rural county in the state yet has one of the highest food-insecurity rates. (p. 14–16)

4. Cluster 0 counties carry higher affordability burdens — 18.7% of average weekly income needed for basic food versus 13.1% statewide — and face more concentrated (less competitive) grocery markets (avg. concentration score 77.4 vs. 63.4 state average). (p. 7)

5. Having a grocery store nearby doesn’t equal real access. The analysis found no consistent link between dominant retailer presence and access to nutritious/healthy food imports — concentration doesn’t ensure equity. (p. 20)

6. Walmart and Dollar General dominate rural grocery markets, especially in Cluster 0 counties, where Walmart is often the only major grocer and Dollar General’s footprint is wide but its inventory rarely supports a healthy diet. (p. 19)

7. “Bridging” counties are structurally vital but fragile — places like Maries, Mercer, Saline, Shelby, and Sullivan don’t move much volume but serve as the only connection holding otherwise disconnected regions together; losing one could cut off neighboring counties from food sources entirely. (p. 9, 23)

8. Several counties carry compounding, high-leverage roles — Audrain (top exporter + high insecurity), Barry (high-volume hub + insecurity), Carter (largest rural exporter + most insecure), and Saline (moderate throughput/bridging) — making them priority targets for intervention. (p. 24)

9. Cluster 0 counties actually show stronger social/civic infrastructure than the state average (13.5 vs. 12.1 civic organizations per 10,000 residents), suggesting informal networks (pantries, churches, volunteer drivers) compensate where formal systems are thin. (p. 8)

10. Solutions require restructuring, not just adding stores — the report calls for midstream infrastructure (small-scale processing, cold storage, aggregation), diversified retail models (co-ops, mobile markets), and shifting production toward local consumption rather than export. (p. 22, 26)

Human Rights Based-Approach Recommendations for Food and Nutrition Security Policy and Programs

1. The field is shifting from “food security” to “nutrition security.” Food security describes household-level economic/social access to food, while nutrition security centers on equitable access to food that actively promotes health and prevents disease — a narrower, more health-outcome-focused lens. (p. 7)

2. The economic cost of food insecurity in the U.S. is enormous — over $160 billion annually in healthcare and indirect costs (lost income, missed work), plus an additional $18.85 billion tied to special-education and dropout costs linked to inadequate nutrition. (p. 10)

3. Food insecurity is a documented human right, not just a policy preference. The Universal Declaration of Human Rights (Article 25) and the International Covenant on Economic, Social and Cultural Rights (Article 11) establish adequate food as a fundamental right, with the UN Committee on Economic, Social and Cultural Rights defining it as physical and economic access “at all times” to sufficient, safe, and culturally acceptable food. (p. 11–12)

4. Food insecurity has ten identifiable systemic causes, per the Global Strategic Framework for Food Security and Nutrition — including inadequate rural state services, exclusion of affected communities from decision-making, weak safety nets, discriminatory financing, unequal access to land/water/credit, and poverty itself. (p. 12–13)

5. In 2023, 47.4 million people lived in food-insecure U.S. households, with single-mother and single-father households the most affected demographic, and racial minorities showing the highest prevalence within those households. (p. 9)

6. Poverty and food insecurity are directly correlated geographically — the paper cross-references national food-insecurity, poverty, and racial-demographic maps to show these three factors cluster in the same counties, particularly across the rural South and parts of the Southwest. (p. 8–10)

7. The paper’s core recommendation is the PANTHER framework — Participation, Accountability, Non-Discrimination, Transparency, Human dignity, Empowerment, and Rule of law — as the guiding structure for designing and evaluating any food/nutrition policy or program. (p. 15–16)

8. Recommended solutions emphasize local and small-scale systems: supporting small-scale/sustainable agriculture, women-led enterprises, local production-to-market networks, and expanding farm-to-school and school garden programs as safety nets. (p. 13–14)

9. Marginalized groups must be included from the assessment stage onward, not just consulted after the fact — full, free, and meaningful participation by the most food-insecure populations is treated as a precondition for effective policy, not an add-on. (p. 16–17)

10. The author proposes a concrete scoring tool (a 0–90 point HRBA adherence scale, scored 1–3 per PANTHER principle) so that existing and future policies can be evaluated and continuously improved for human-rights alignment. (p. 24)

2022 Region G Community Health Assessment

1. Population is shrinking and aging. Region G lost 834 residents (-0.59%) from 2015–2019, with Wright County down 7.01%. Just 7.1% of residents are 18–24, signaling a “brain drain” of young adults. (p. 25–26)

2. Region G is far poorer than the state. Average poverty rate was 20.8% in 2019 (vs. Missouri’s lower rate), and 31.56% of children region-wide live in poverty — worst in Ozark and Shannon Counties. Median household income ($35,353) is roughly $20,000 below the state average. (p. 28, 62)

3. Food access is a genuine crisis. The regional Food Environment Index (6.05) trails the state (7.0), with Wright County posting the region’s worst food-uncertainty rate (25.8%) and highest food-uncertainty-with-hunger rate (12.1%). Over 6% of households lack vehicle access, and fast-food outlets outnumber fresh-produce sellers roughly 3-to-1. (p. 117)

4. Severe shortage of health care providers. Region G averages one physician per 4,152 residents (vs. 1 per 1,420 statewide) and one mental health provider per 2,458 residents (vs. 1 per 5,500 — better ratio statewide, worse in some counties like Shannon at 1:8,250). No county except Howell and Texas has a hospital. (p. 136–137)

5. Uninsured rates are nearly double the state average. 10.3% of Region G residents are uninsured vs. 5.8% statewide; every county exceeds the state rate, with Reynolds County spiking to 16.8% for uninsured children. (p. 138)

6. Chronic lower respiratory disease is the top killer. Age-adjusted death rate of 220.56–276.73 per 100,000 (Wright County highest at 370.05), well above Missouri’s 232.63. (p. 131)

7. Wright County has the region’s highest suicide rate (308.11 per 100,000, age-adjusted) — well above both the regional (238.41) and state (204.23) averages. (p. 132)

8. High blood pressure prevalence nearly doubled since 2007, rising from 25.9% to 39.36% region-wide by 2016, with Wright County jumping to 45.19%. (p. 120)

9. Obesity and diabetes remain elevated but mixed. Adult obesity sits at 32% region-wide (Reynolds highest at 35%), while diabetes held steady at 14% — above the state’s 12%. (p. 119, 125)

10. Life expectancy trails the state by roughly two years. Region G averages 75.3 years vs. Missouri’s 77.3, with Wright (73.1) and Carter (73.2) Counties lowest in the region. (p. 130)

From Farm to FIM: The Economic Impact of Local Food is Medicine

1. FIM is a major market opportunity — Food is Medicine could grow into a $50 billion market, with over half of U.S. states already pursuing policy to expand or explore it (p. 4).

2. Local design determines local benefit — FIM only delivers economic gains to states when programs intentionally prioritize local sourcing and locally based providers; without clear rules, dollars default to national distributors (p. 5, 19-20).

3. Big topline numbers — Localized FIM programs could generate $45B+ in annual GDP growth nationwide, support 316,000 new jobs, and produce $5.6B in annual revenue for small/mid-sized family farms (p. 5, 18).

4. Scale of unmet need — Only 1-3% of eligible Medicaid/Medicare patients currently use FIM; scaling to all 43 million eligible Americans would create up to $50.2B in new demand for healthy food (p. 11).

5. Farmer impact is meaningful but uneven — Small/mid-sized farms could earn $5.6B in new revenue (benefiting ~56,000 farms), but state-level impact ranges widely — from $4.5M in Alaska to $510M+ in California (p. 12).

6. Direct spending multiplies locally — $21.6B in direct local expenditure (farm purchases + FIM delivery/supply chain services) expands to $45.6B in total economic impact through multiplier effects (p. 15).

7. Farmland and environmental stewardship — FIM-driven local demand could sustain over 6 million acres of farmland via small/mid-sized farms, which are more likely to use regenerative practices (p. 17).

8. Resilience and equity benefits — Shorter, localized supply chains withstand shocks (as COVID-19 exposed) better than long ones, and local sourcing opens market access for historically underserved farmers — beginning farmers, farmers of color, women, veterans (p. 18).

9. Three policy levers for states — (1) embed local sourcing/provider preferences into FIM policy, (2) pair preferences with investment (advance payments, infrastructure, technical assistance), (3) act early with flexible program designs like pilots and phased sourcing targets (p. 19-20).

10. Real-world proof points exist — Case studies show it’s already working: Community Servings (MA) sources 20%+ locally including 100% local fish; FreshRx Oklahoma achieves 100% local/regenerative sourcing; Recipe4Health (Alameda County, CA) sources 100% of produce within 250 miles with a focus on BIPOC-owned farms (p. 27-29).

Missouri EATs: Engage - Act - Transform - Cultivating Community Food Systems

1. Event formats scale to community readiness — lunch & learn (2 hrs), half-day forum (10–40 people), or one-day forum (30–70 people, produces a Food System Action Plan). p. 5

2. Full timeline runs 2+ years for groups doing the one-day forum: pre-planning (1–3 mo) → planning (2–4 mo) → initiation/follow-through (20–24 mo), with a one-year reconvene recommended. p. 6

3. Local Leadership Team (LLT) of 6–10 people co-leads with an MU Extension “Local Lead Partner” — the community team does the actual planning, recruiting, and follow-through work. p. 9, pp. 10–11

4. The Readiness Survey is the real on-ramp — used both as an internal conversation-starter and as the formal document submitted to the Missouri EATs State Team. Appendix A, pp. 19–23

5. Program is adapted from Oregon Food Bank’s FEAST model, with philosophy borrowed from MU Extension’s “Building Local Prosperity” (Exceed program) — asset-based, community-driven, not agency-led. p. 2

6. Expected outcomes are tiered and measurable: knowledge change by end of forum → behavior change at 6–12 months → conditions/infrastructure change at 2 years. Useful as an outcomes framework to borrow for GOTURSIX’s own reporting. p. 7

7. Data & evaluation framework is built in: local data sources (Missouri Hunger Atlas, USDA Ag Census, CDC estimates) plus a full survey suite. pp. 15–16; Appendix I p. 32; Appendix J p. 34; Appendix K p. 36

8. Snow Card Technique drives the one-day forum’s visioning/action-planning session — silent brainstorm → paired discussion → wall clustering into themes → breakout groups. Appendix C, p. 25; sample agenda Appendix D, p. 26

9. “Who could be involved” list is exhaustive — covers producers, processors, distributors, emergency food providers, institutions, planners, transportation, land trusts, labor, and more. Good checklist for recruitment/outreach for any GOTURSIX convening. Appendix H, pp. 30–31

10. Sector wheel (cover graphic) gives a shared vocabulary for the food system: Grow/Produce/Harvest → Deliver/Process → Market/Distribute → Display/Purchase → Prepare/Consume → Surplus/Waste, with Partnerships/Collaboration at the center. Useful as a visual/framing device in your own materials. Appendix P, pp. 42–43