Jun 2, 2026

What a Real Farm Intelligence Report Actually Contains

Team Zeepay

Category: Farm Intelligence

Most market reports agents receive are recycled from board-level data: median price, days on market, month-over-month change. Useful at a high level. Not particularly useful for making decisions about a specific farm of 300 homes in Bedford or Clayton Park.

FarmPogo’s weekly farm intelligence report is built differently. Here’s what it actually covers.

MLS transaction data

Every week, your report pulls the latest transaction activity within your farm’s DA boundaries: new listings, price changes, conditionals, and solds. You get days-on-market trends, list-to-sale ratios, and price-per-square-foot movement — all calculated for your exact farm, not the broader postal zone.

Over time, this builds a longitudinal picture of your farm’s market cycle that no one-off CMA can replicate.

Census demographics

Your farm’s demographic profile shapes who your buyers and sellers actually are. FarmPogo draws from Statistics Canada census data at the DA level: age distribution, household composition, income bands, housing tenure (owned vs. rented), and mobility rates (how often residents move).

The mobility rate, in particular, is a strong predictor of listing frequency. DAs with higher-than-average mobility rates tend to generate more transactions — which is exactly where you want your farm to be.

Building permits and planning applications

New development adjacent to your farm can compress prices in the short term and drive demand in the medium term. HRM building permit data and planning applications are tracked weekly so you catch significant approvals before they appear in the news.

Bank of Canada rates and affordability

Each report includes the current policy rate and its direct impact on mortgage qualification thresholds for properties in your farm’s price range. This gives you a concrete number to anchor client conversations: “At today’s rate, qualifying for a home in this area requires roughly X.”

CPI-adjusted appreciation figures show you real price growth after inflation — the number that tells your clients whether they actually built wealth or just kept pace.

Prediction signals

This is where cross-dataset analysis becomes genuinely useful. FarmPogo looks for patterns that individual data streams won’t surface on their own: downsizer cohort sizing (the share of residents in the 55–70 age band who are likely within five years of a lifestyle transition), affordability ceiling signals, and listing wave predictors based on employment and income mobility data.

These aren’t certainties — they’re probabilities worth knowing.

Marketing assets

Alongside the data, your first report includes six ready-to-use assets: social stat cards, a print-ready postcard, a farm newsletter, and a one-page market report. Each one is generated with your farm’s actual numbers, in one of five visual themes.

The goal isn’t to give you more reading material. It’s to give you everything you need to show up in your farm as the agent who actually knows what’s happening there.

If you want to see what a full report looks like for a specific DA in HRM, start your farm here.

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