Rural hospitals, clinics, schools, fire and EMS stations, libraries and municipal buildings — studies written to the questions a Community Facilities reviewer actually asks.
A Community Facilities project is not underwritten like a business. The Agency is financing something a rural community needs — a critical access hospital, a school, a fire station, a clinic, a public safety building — and the analysis has to establish two things at once: that the facility is essential to the service area, and that the sponsor has a revenue base that can carry the debt for the term of the loan.
Those are different burdens of proof than a B&I file. Essentiality is demonstrated with population served, distance to the nearest alternative facility, service-level data, and the condition or capacity limits of what exists today. Revenue support is demonstrated with the sponsor's own financial history, its taxing or rate-setting authority where it has one, payer mix and utilisation for healthcare, enrolment for schools, and the contractual or statutory sources behind each line.
Community Facilities financing runs on two tracks, and the applicable regulation depends on which one your file is on. CF guaranteed loans sit inside the OneRD framework at 7 CFR Part 5001, alongside Business & Industry, REAP and Water & Waste. CF direct loans are administered under their own regulation, 7 CFR Part 1942, Subpart A.
The practical difference for the study is who reads it and what they weight. On a guaranteed file, the lender packages the credit and the Agency reviews the guarantee — so the report has to satisfy a commercial credit committee and a Rural Development reviewer with the same set of pages. On a direct loan, the Agency is the lender, and the essentiality and public-purpose analysis carries proportionally more weight. We ask which track you are on before scoping, because the emphasis moves.
Rural hospitals, critical access hospitals, clinics and long-term care facilities are the most demanding CF studies, and the most commonly returned. The reason is almost always the same: a demand case built on population alone, with no payer analysis behind the revenue. A rural hospital's viability is a function of service-line volumes, the payer mix behind those volumes, reimbursement policy the sponsor does not control, and a physician and staffing pipeline in a market that is competing for the same clinicians.
For senior care projects — including assisted living and senior care facilities — we build those files with utilisation and discharge data for the service area, out-migration analysis showing where residents currently go for care and why, payer mix from the sponsor's own history, and a staffing plan tested against what the market can actually recruit. Where the numbers do not support the project as proposed, the report says so and identifies what would have to change — a determination a reviewer can rely on is worth more to a sponsor than an optimistic one that comes back with comments.
The engagement opens with a data request the day it is signed, because CF files slow down waiting on sponsor information — audited financials, the capital improvement plan, the rate or levy history, service-line volumes — not on the analysis. We work from sources a reviewer can check: Census and American Community Survey data at tract level, state health and education agency series, CMS and HRSA data for healthcare, the sponsor's own audited statements, and primary interviews with administrators and referring providers where the published data stops.
Standard delivery is 10 to 15 business days from a complete data room. The fee is fixed, quoted before work starts, and never contingent on the finding — a contingent fee would defeat the independence the Agency requires of the study's author.
A community facilities engagement is not a generic cash-flow model with a rural label attached. The scope is built around the specific operating mechanics of the facility type—whether that is a critical-access hospital, a rural fire station, a public library, a community center, or a municipal utility building—because each carries a different revenue architecture, a different cost structure, and a different standard of essentiality that the Agency reviewer must confirm before credit can advance.
Demand for a community facility is not derived from consumer spending surveys or commercial foot-traffic models. It is derived from documented public need, and the methodology must be defensible to a USDA Rural Development state office that has read hundreds of these submissions.
Population and demographic data are drawn from decennial census files and American Community Survey five-year estimates, disaggregated to the census-tract or block-group level so that rural concentration and poverty rates are visible. State vital-statistics records, county health rankings, and state department of health licensure databases establish the current supply of comparable facilities and identify licensed-bed counts, service certifications, or square-footage capacity already operating in the service area.
For facilities with a physical-access component—fire protection, emergency medical services, community health clinics—response-time mapping and drive-time isochrones document the gap between current service reach and the proposed facility's coverage zone. State agency planning documents, rural hospital closure registries, and municipal capital-improvement plans are reviewed to confirm that no equivalent facility is already funded or under construction within the service area.
Where the facility generates user fees, utilization benchmarks are drawn from trade-association operating surveys and state licensing-agency utilization reports, not from the borrower's projections alone. Competitive-supply work is cross-checked against state licensure registries and, where applicable, certificate-of-need filings to ensure no double-counting of capacity.
Coverage ratios for community facilities projects are sensitive to a narrow set of inputs. Identifying which inputs carry the most leverage—and stress-testing each one independently—is the analytical work that separates a credible study from a pro-forma exercise.
Every input lives in the linked Excel workbook, so the Agency reviewer can move any cell and watch the coverage ratio recalculate in real time.
USDA Rural Development reviews community facilities applications under RD Staff Instruction 5001. The feasibility study must answer the Agency's specific questions, not generic underwriting questions, and the answers must be traceable to documented evidence rather than applicant representations.
The Agency's first threshold is essentiality: the study must affirmatively find that the facility is necessary for the orderly development of the service area and that the area lacks the financial resources to provide the facility without federal assistance. A study that sidesteps this finding, or treats it as a formality, will not satisfy the state-office reviewer.
The second threshold is financial feasibility: the project must demonstrate that revenues and other pledged resources are sufficient to repay the debt, fund operations, and maintain the facility over the loan term. The Agency expects to see coverage calculated on both an operating basis and a global basis, with the global calculation capturing all obligations of the borrower entity, not just the proposed loan.
Lenders processing a CF guarantee also carry their own credit policy, which typically imposes a coverage floor at or above the Agency minimum. Where the lender's standard exceeds the Agency's, the study is built to the more conservative threshold. The conditions statement documents which standard governs and what must remain true for that standard to be met, giving both the lender's credit committee and the Agency reviewer a single, unambiguous reference point.
The engagement begins with a fixed-fee quote, delivered within one business day of an initial inquiry. The fee does not vary with the loan amount, the finding, or the complexity of the revenue structure beyond what is disclosed at the outset. No portion of the fee is contingent on a favorable determination, and no finding is revised because a borrower or lender disagrees with the conclusion.
Work begins when a complete data room is assembled. For a community facilities project, the data room typically includes audited financial statements for the borrower entity, the proposed loan term sheet, the legal authority documents for any pledged revenue source, capital-cost estimates from the project architect or engineer, and any existing facility-condition or needs assessments. Incomplete data rooms extend the timeline; the engagement clock does not start until the room is complete.
Standard delivery is ten to fifteen business days from a complete data room. Rush delivery is available and is quoted at the time of engagement. The deliverable set includes a bound narrative report, the ten-year pro forma workbook, the sensitivity and interest-rate stress analyses, ratio benchmarking against RMA and IBISWorld data, and the explicit conditions statement.
Every engagement is published to a secure client portal. The financial model remains live in the portal and recalculates when inputs change, so the lender's credit officer or the Agency reviewer can run their own stress scenarios without requesting a revised report. The fiduciary duty in every engagement runs to the lender and the reviewing agency, not to the borrower.
Where the financing institution rather than the applicant commissions the work, see how we prepare feasibility studies for banks and what changes in scope when the lender is the client.
Legal disclosure. Wert-Berater, Inc. offices are mailing addresses only. Following the COVID-19 pandemic the firm has elected to work remotely; its office locations receive mail and are not staffed for visitors or in-person meetings. Headquarters mailing address: 1968 South Coast Hwy, Ste 2382, Laguna Beach, CA 92651.
Wert-Berater, Inc. is an independent provider of feasibility studies and other related services. The firm does not provide financing or equity investment advice, and does not arrange, broker, or place debt or equity capital of any kind.
All appraisal assignments are performed by Bruce E. Jones, MAI, ASA-GC, BCA, CMEA, a member of the Appraisal Institute since 2006, a staff member of Wert-Berater, Inc. and owner of Special Purpose Realty Valuation.