The 27 KPIs every commercial swine operation should track

Most pork operations don’t fail for lack of data — they fail because the numbers that matter are scattered across five tools and three weeks stale by the time anyone looks. This is a working reference to the 27 KPIs that actually drive a commercial swine P&L, grouped by category. For each one you get a plain definition, the formula, a typical industry benchmark range, and a note on how SwineOps keeps it current.

Benchmark ranges below are typical for North American commercial herds. Your targets will shift with genetics, health status, barn type, and packer — treat these as orientation, not gospel. The point isn’t to hit a textbook number; it’s to know your own number today and whether it’s moving the right way.

Reproduction KPIs

The sow herd is the factory. These eight numbers decide how many quality weaned pigs come out of it.

1. Farrowing rate

Definition: the share of mated females that farrow. Formula: litters farrowed ÷ females mated × 100. Benchmark: ~85–92%. In SwineOps: every mating and farrowing is logged on the sow card, so farrowing rate is live by breeding group rather than reconstructed at quarter-end.

2. Total born per litter

Definition: all piglets born — alive, stillborn, and mummified. Formula: total piglets born ÷ litters. Benchmark: ~13–16. In SwineOps: farrowing records capture each category separately, so total born and its components are never blended.

3. Born alive per litter

Definition: live piglets at birth. Formula: liveborn piglets ÷ litters. Benchmark: ~12–14.5. In SwineOps: born alive is recorded distinctly from stillborn and mummies, and trends against parity.

4. Pre-wean mortality

Definition: piglets lost between birth and weaning. Formula: pre-wean deaths ÷ born alive × 100. Benchmark: ~10–15% (lower is better). In SwineOps: mortality is logged in-barn with cause codes, so pre-wean loss is attributable, not just a number.

5. Pigs weaned per sow per year (PSY)

Definition: the headline sow-herd productivity number. Formula: pigs weaned per litter × litters per sow per year. Benchmark: ~25–30+. In SwineOps: PSY rolls up automatically from wean events and litter cadence and benchmarks against your own trailing performance.

6. Wean-to-service interval (WSI)

Definition: days from weaning to the sow’s next service. Formula: average days, weaning → service. Benchmark: ~5–7 days. In SwineOps: WSI is derived from wean and mating dates on the sow card; long intervals flag for follow-up.

7. Conception / return rate

Definition: the share of services that hold (or return to estrus). Formula: confirmed pregnant ÷ services × 100. Benchmark: conception ~88–92%. In SwineOps: preg-check results post to the card and returns surface for prompt re-service.

8. Litters per sow per year

Definition: breeding cadence. Formula: 365 ÷ (gestation + lactation + WSI). Benchmark: ~2.3–2.5. In SwineOps: litters/sow/year is computed from the actual cycle dates your records capture.

Growth & production KPIs

How efficiently weaned pigs become market hogs.

9. Average daily gain (ADG)

Definition: weight gained per day. Formula: total gain ÷ days on feed. Benchmark: ~0.75–0.95 kg/day wean-to-finish (higher in late finishing). In SwineOps: ADG derives from placement and scale weights tied to the lot.

10. Days to market

Definition: age or days-on-feed at shipping. Formula: ship date − birth/placement date. Benchmark: ~165–185 days to ~130 kg. In SwineOps: computed per lot from the dates already on file.

11. Wean-to-finish mortality

Definition: death loss across nursery and finishing. Formula: wean-to-finish deaths ÷ pigs placed × 100. Benchmark: ~5–8%. In SwineOps: mortality logged per lot rolls into this without tallying.

12. Market weight

Definition: average live weight at shipping. Benchmark: ~125–135 kg (packer-dependent). In SwineOps: captured at loadout and reconciled against the kill sheet, so over/under-weight discounts are visible.

13. Throughput (pigs marketed)

Definition: pigs shipped per period. Formula: sum of head on executed loads. In SwineOps: throughput rolls up from movement records, so scheduled vs shipped is always reconciled.

Mortality KPIs

Tracked by stage, because the cause and the fix differ at each one.

14. Nursery mortality

Definition: death loss in the nursery phase. Benchmark: ~2–4%. In SwineOps: stage-tagged mortality separates nursery loss from finishing loss automatically.

15. Finisher mortality

Definition: death loss in finishing. Benchmark: ~3–5%. In SwineOps: trended by lot and barn, with alerts when a barn runs hot.

16. Sow mortality

Definition: annual sow death loss. Formula: sow deaths ÷ average inventory × 100. Benchmark: ~5–10% (target under 8%). In SwineOps: culls and deaths are reason-coded, so sow mortality is tracked by reason and parity rather than a lump number.

Feed KPIs

Feed is the largest line on the sheet — usually 60–70% of the cost of a pig.

17. Feed conversion ratio (FCR)

Definition: feed required per unit of gain. Formula: feed consumed ÷ weight gained. Benchmark: ~2.4–2.7 wean-to-finish. In SwineOps: FCR pairs Grow-Finish’s modeled/delivered feed with scale gain on the same lot.

18. Feed cost per kg gain

Definition: the cost side of conversion. Formula: feed cost ÷ kg gained. In SwineOps: feed invoices in Financial meet gain on the lot, so this isn’t a separate spreadsheet.

19. Average daily feed intake (ADFI)

Definition: feed eaten per pig per day. Benchmark: rises by phase from ~0.5 kg (nursery) to ~2.5+ kg (late finish). In SwineOps: the per-phase ration model projects intake and reconciles to deliveries.

20. Feed cost per pig

Definition: total feed cost to produce a market hog. In SwineOps: accrues live as the Grow-Finish feed budget burns ration against head and days — you watch it build instead of finding out at closeout.

Labor KPIs

21. Hours per pig produced

Definition: labor efficiency. Formula: total labor hours ÷ pigs produced. In SwineOps: timeclock hours and production volume live in the same system, so this is a report, not a survey.

22. Pigs per worker

Definition: throughput per full-time equivalent. In SwineOps: derived from headcount and marketed pigs across sites.

23. Overtime rate

Definition: overtime as a share of hours. In SwineOps: surfaced from timeclock data, with missed-punch alerts keeping the underlying hours clean.

Financial KPIs

Where everything else lands.

24. Full cost per pig

Definition: all-in cost to produce a market hog — feed, freight, labor, barn rent. In SwineOps: costs post to the lot automatically, so cost per pig is live, not a closeout reconstruction.

25. Cost per weaned pig

Definition: the sow herd’s cost to produce one weaned pig. In SwineOps: sow-side costs allocate to wean output per group.

26. Gross margin per pig

Definition: revenue minus cost per pig. Formula: (sale revenue − full cost) ÷ head. In SwineOps: packer settlement meets lot cost, so margin is per-lot and real.

27. Revenue per pig / per sow

Definition: top-line productivity. In SwineOps: settlements tie back to lots and breeding groups, so revenue per pig and per sow are both available.

Stop chasing the numbers

The operations that win on these KPIs aren’t the ones with the fanciest spreadsheet — they’re the ones whose numbers are current enough to act on. That’s the whole idea behind SwineOps: capture once, in the barn, and let farrowing rate, FCR, and cost per pig stay live. When you’re ready, book a demo and we’ll show you your numbers on your operation.