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AnalysisJuly 5, 20263 min read

Government-lending monitor: FHA, VA and USDA in Ginnie Mae's May 2026 disclosure

Ginnie Mae's May 2026 single-family loan-level disclosure covers 154,562 loans and $52.6B in UPB — FHA leads by count, VA by average balance, and the top four issuers hold 41% of the pool.

Ginnie Mae's single-family disclosure files are the most granular public window onto the government-insured mortgage market — the FHA, VA, USDA and PIH loans that sit outside the conventional GSE channel. This monitor reads the May 2026 disclosure file at the loan level: 154,562 loans, $52.6B in unpaid principal balance (UPB), spread across 190 issuers. Treat it as a cross-section — a monthly snapshot of what the file captured, not a claim about the full outstanding book or a clean measure of new issuance.

The program mix: FHA by count, VA by balance

The government-lending split in this file is the familiar one, and the divergence between count and balance is the point worth holding onto.

  • FHA dominates by loan count: 91,266 loans, or 59% of the file, carrying $28.0B of UPB (53% of the total).
  • VA is second by count at 59,617 loans (39%) but punches above its weight on balance — $23.8B, or 45% of UPB.
  • USDA Rural Development is the small rural slice: 3,525 loans and roughly $0.7B (~2%).
  • PIH / Native American (Section 184) is a rounding line here at 154 loans.

The asymmetry is the story. VA supplies 39% of the loans but 45% of the balance, which means the average VA loan in this file is materially larger than the average FHA loan. That tracks with what we know about the two programs: VA's no-down-payment structure and its concentration among borrowers purchasing at or near full entitlement pull average balances up, while FHA's lower loan limits and its role serving lower-balance, higher-LTV first-time buyers pull the other way. For anyone modeling prepayment or convexity across a Ginnie pool, that program-weighted balance gap matters — VA and FHA cohorts do not behave identically, and their relative share moves the aggregate.

Share of loans by agency program in Ginnie Mae's May 2026 single-family disclosure (154,562 loans, $52.6B). VA carries a larger average balance — 39% of loans but 45% of UPB. Source: Ginnie Mae.

Issuer concentration is high

Across the 190 issuers in the file, holdings are far from evenly distributed. The top four issuers hold 41.4% of UPB, and the single largest holds roughly 12.5% — about $6.6B on its own. A concentration curve that steep at the top is consistent with the well-documented structural shift in the Ginnie market over the past decade: the migration of government servicing and issuance away from depositories and toward large nonbank originator-servicers.

That concentration is not a neutral fact. Ginnie issuers carry the operational obligation to advance and pass through principal and interest and to buy out seriously delinquent loans; the guarantor's exposure runs through them. When 41% of a pool sits with four counterparties, servicing-transfer risk, advance-financing liquidity, and issuer solvency stop being idiosyncratic and start being portfolio-level questions — which is precisely why nonbank concentration remains a live thread in the policy conversation around issuer capital, liquidity, and eligibility standards.

One important limit: this file exposes issuers by numeric ID, not by name. We can measure how concentrated the book is, but naming the largest holders requires a separate ID-to-name resolution step against Ginnie's issuer registry, and we are not guessing at identities here.

What the file will not tell you

  • One monthly file — a point-in-time cross-section, not a full-year flow or the active universe.
  • Underwriting fields suppressed — no LTV, DTI, or MSA on the single-family records, so credit-box and geographic cuts need other sources.
  • Issuers by numeric ID — every concentration figure above is name-agnostic until resolved against Ginnie's registry.

Used within those edges, the file does exactly one thing well and does it cleanly: it sizes the government-lending market by program and shows how tightly the book clusters among a small set of issuers — a starting frame for counterparty, servicing, and policy questions, not the last word on any of them.

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