The Farmer Who Doesn't Know His Margin
Ask most smallholder farmers in East Africa whether their farm is profitable and you'll get an answer with a lot of qualifiers. "We made good money this season." "The maize did well." "The rains were okay."
Ask them the exact cost per 90kg bag they produced, and the answer changes. "I'm not sure." "We spent quite a bit on fertilizer." "The casual labour cost was... something."
This isn't unusual. It's the norm. And it's costing farming families money they don't know they're losing.
"We thought we were making good profit from the farm. When we finally tracked all inputs, we realised we were making less per acre than the cost of land rental. We'd been busy but not profitable." — Farmer, Trans Nzoia
Why Input Tracking Is Not Optional
A farm is a business. Like any business, it has costs of goods sold — the inputs that go into producing each unit of output. Seeds, fertilizer, pesticide, herbicide, labour (casual and family), transport, equipment hire, irrigation costs.
Without tracking these costs, you cannot know your margin. And without knowing your margin, you cannot:
- Compare one season to another
- Know whether a new input (e.g. a more expensive hybrid seed) actually improved your return
- Decide whether to expand, contract, or pivot to a different crop
- Justify investment decisions to other family members who contribute capital
- Secure a loan or grant that requires financial records
Farming blind is farming by feel. And while experience matters, it cannot replace numbers.
The Five Numbers Every Farming Family Needs
1. Total Input Cost
Every purchase that went into the ground or onto the field. Seeds, fertilizer, chemicals — logged by type, quantity, cost, and supplier. This should be tracked as purchases happen, not reconstructed from memory at harvest time.
2. Labour Cost
Casual labour is often the largest variable cost in farming and the least tracked. How many person-days did planting take? Weeding? Harvesting? At what daily rate? This should be logged for every activity.
3. Total Output
How many bags did you actually harvest, by crop and field? Weight matters, not just count. A "good harvest" of 100 bags means very different things depending on the size of bag and whether they're dry or wet.
4. Sale Price Achieved
What price per unit did you actually get? Did you sell everything at once, or in batches at different prices? Did you store any, and what was the storage cost versus the price improvement?
5. Gross Margin per Acre
Revenue minus input costs, divided by acreage. This is your most important metric. It lets you compare crops, seasons, and farms. It's the number that tells the truth.
Log every input purchase, every labour day, every harvest, and every sale. The system calculates your cost per unit and gross margin automatically. You finally know whether the farm is working — or just keeping you busy.
The Hidden Loss: Family Labour Priced at Zero
In most smallholder farming families, family labour is priced at zero. The assumption is that because you're not paying cash wages to family members, the labour is free. This is economically incorrect — and it distorts your profit picture significantly.
Family labour has an opportunity cost. The days a family member spends weeding a field are days they're not earning elsewhere, studying, or building something else. If you want an honest picture of your farm's returns, you need to price all labour at the local casual rate — even family labour.
When families do this calculation honestly for the first time, some are surprised by the results. The farm that looked profitable on a cash-only basis turns out to have much tighter margins when all labour is costed in. This doesn't mean stop farming — it means farm smarter. Mechanise where possible. Focus on higher-value crops. Reduce labour-intensive activities.
Comparing Seasons: The Power of Historical Data
The real value of input tracking compounds over time. After one season, you have a baseline. After two, you can compare. After three, you start to see patterns — which inputs drive yield, which weather years are good for which crops, which fields perform best.
This is the kind of intelligence that distinguishes a thriving farm from one that merely survives. It's what extension officers try to estimate from averages and surveys. But the best data for your farm is your farm's own history.