Raw Honey Guide
4 Sourced Calculators · Free to Embed

Producer Economics Toolkit

Four questions every U.S. beekeeper asks every fall \u2014 and four free, sourced calculators that answer them. Read in order, they form a single argument about why colony economics is the most under-discussed lever in apiculture.

The four-question sequence

  1. 1
    How bad has it actually been? Widget 37: Honey Bee Colony Loss Monitor →
  2. 2
    What if we stopped replacing dead colonies? Widget 39: The Replacement Paradox →
  3. 3
    What does it cost MY operation? Widget 40: Colony Replacement Economics Calculator →
  4. 4
    Is it cheaper to prevent the loss? Widget 41: Varroa Treatment Economic Threshold →
Widget 37·Question 1 of 4

Honey Bee Colony Loss Monitor

“How bad has it actually been?”

U.S. winter colony loss every year from 2006-07 through 2023-24, plotted against the BeeInformed Partnership "acceptable" threshold. Filter by backyard / sideline / commercial operations to see how the burden has shifted.

Key takeaway

18-for-18 streak above the acceptable threshold; 2022-23 was the worst on record at 48.2%.

Sources: BeeInformed Partnership annual surveys (2006-2024); USDA NASS Honey Bee Colonies report.

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Widget 39·Question 2 of 4

The Replacement Paradox

“What if we stopped replacing dead colonies?”

Counterfactual simulator: U.S. managed-colony headcount has been roughly flat at 2.7M since 2006 only because beekeepers replace ~30-40% of stock every spring. Toggle replacement off to see the unmasked decline.

Key takeaway

Unmasked 18-year decline ~70% — the headline "stable colony count" hides the structural problem.

Sources: USDA NASS managed-colony data + BeeInformed loss rates; replacement-rate inferred from FAOSTAT vs. national-survey discrepancy.

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Widget 40·Question 3 of 4

Colony Replacement Economics Calculator

“What does it cost MY operation?”

Operation-specific annual replacement cost. Input colony count, your local package price, your honey price/lb, and your loss rate — output: dollars/year and % of gross revenue lost to replacement alone.

Key takeaway

Every 1% of winter loss costs a 200-colony operation $338/year in packages alone, before labour.

Sources: BLS labour-rate baseline ($22/hr); BeeInformed historical scenarios (21.9% / 28.2% / 48.2%).

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Widget 41·Question 4 of 4

Varroa Treatment Economic Threshold

“Is it cheaper to prevent the loss?”

Solve for the mite load at which treatment NPV equals no-treatment NPV given your replacement cost and treatment choice. Side-by-side comparison of oxalic acid (vapor), formic acid (Formic Pro), amitraz (Apivar), and thymol (Apiguard).

Key takeaway

Your private break-even differs from HBHC’s 1%/2%/3% rule because HBHC internalizes externalities (virus spread, queen quality, resistance) that your operation’s NPV does not.

Sources: Genersch et al. 2010 Apidologie mortality curves; HBHC "Tools for Varroa Management" 9th ed.; product-label efficacies.

Open Widget 41Embed snippet

Methodology & data sources

Every widget shows its formula, sample size, and citation in an in-page Method block. The cross-cutting methodology page lists all data stories with their underlying datasets and computational assumptions, and the editorial policy explains how findings are reviewed and updated.

All four producer-economics widgets are free to embed on extension newsletters, beekeeping-association sites, and producer-economics writing. iframe snippets: /tools/embed

Common questions

About the Producer Economics Toolkit

Who is the Producer Economics Toolkit for?

The four tools are written for sideline and commercial beekeepers (50+ colonies) who treat their operation as a business, but each one is also useful to backyard keepers, agricultural-extension educators, journalists, and researchers who want a quick, sourced look at U.S. honey bee economics. Every input is explicit, every assumption is shown, and every dataset behind the calculation is cited.

How do these four widgets relate to each other?

They answer four sequential questions every fall. Widget 37 is the historical context (how bad has it been?). Widget 39 is the structural consequence (what would happen if we stopped replacing?). Widget 40 is the per-operation cost (what does it cost ME?). Widget 41 is the prevention question (is it cheaper to treat than to replace?). Read in order they form a single argument; used independently each one stands alone.

Why does this hub exist instead of just listing the tools?

Because the four widgets answer the same beekeeper’s questions in sequence, and a reader who lands on Widget 41 (Varroa thresholds) often benefits from the context Widget 40 provides about what their replacement cost actually is. The hub gives each tool a "next question" and "previous question" so the reader can walk the sequence rather than dead-end at one calculator.

Are the calculators free to embed on my own site or newsletter?

Yes. Every widget has an embeddable iframe URL with light and dark themes (append ?theme=dark). No account, no tracking, no attribution required — but a link back to rawhoneyguide.com is appreciated. Extension educators, beekeeper-association newsletters, and producer-economics writers are explicitly welcome to embed them in workshops and publications.

How are these different from BeeInformed Partnership reports?

BeeInformed publishes the underlying loss-rate dataset that Widget 37 visualizes. Their reports are authoritative on what has happened. The Producer Economics Toolkit is downstream: it asks what those loss rates cost a specific operation and whether prevention is cheaper than replacement. Widget 39 in particular relies on the gap between USDA NASS managed-colony counts and the implied replacement rate — a number BeeInformed does not directly publish.

What’s the difference between the private and the social-optimal mite threshold?

Widget 41 surfaces this distinction explicitly. Your operation’s NPV-optimal mite-load break-even depends only on your costs (your packages, your treatments, your honey value). The Honey Bee Health Coalition’s 1%/2%/3% action thresholds are deliberately lower than most operations’ private break-even because they internalize virus transmission to neighbouring apiaries, queen quality decline, and miticide resistance evolution — externalities that don’t appear on your balance sheet. The private-optimal threshold is honest about your math; the social-optimal threshold is honest about your apiary’s effect on every apiary within 2-3 miles.

Where can I see the methodology in detail?

Each widget has an in-page Method block disclosing all assumptions, formula, and data sources. The cross-cutting methodology page at /learn/methodology lists every data story’s sample size, formula, and source links — including all four producer-economics widgets.

Related

All embeddable widgetsMethodology & data sourcesWorld Bee Day — the bigger picture