Analyzing Your Varroa Data: What 12 Months of Count Records Tell You

Beekeepers who review their annual varroa data identify actionable patterns in 90% of cases that improve the following year. A year of mite counts, treatment records, and efficacy calculations tells you things about your operation that you can't see from individual data points in the moment. Looking backward is how you manage better going forward.

Here's what 12 months of data reveals and how to read it.

TL;DR

• This guide covers key aspects of analyzing your varroa data: what 12 months of count records
• Mite monitoring should happen at minimum every 3-4 weeks during active season
• The 2% threshold in spring/summer and 1% in fall are standard action points based on HBHC guidelines
• Always run a pre-treatment and post-treatment mite count to calculate efficacy
• Treatment records including product name, EPA number, dates, and counts are required for state inspection compliance
• VarroaVault stores all monitoring and treatment data with automatic threshold comparison and state export formatting

---

Pattern 1: Seasonal Mite Load Profile

The most basic analysis is a graph of all your mite counts across the calendar year. Your operation has a characteristic seasonal pattern:

What normal looks like: Low counts in spring (0.5-1%), gradual increase through summer (1-2% by July), peak in August-September (2-4%), sharp drop after fall treatment, near-zero in winter after broodless OA dribble.

What a problem looks like: High spring counts (above 1.5% in April or May) suggest last fall's treatment was inadequate or missed. A July peak above 3-4% suggests the mite load outpaced your mid-season monitoring and treatment. Counts that don't drop after fall treatment suggest treatment failure or resistance.

What the data tells you: If your seasonal profile shows consistently high July counts year over year, you need a more aggressive early summer treatment or more frequent monitoring in June. If spring counts are always high, your fall treatment or broodless winter treatment isn't achieving adequate knockdown.

Pattern 2: Treatment Efficacy Across Products

For each treatment you applied, VarroaVault calculates efficacy: the percentage mite reduction from pre-treatment baseline to post-treatment count.

Compile your efficacy data by product:

• What was the average efficacy for Apivar treatments across all applications?
• What was the average for OA vaporization?
• Are there specific hives or apiaries where a particular product consistently shows lower efficacy?

What to look for: Efficacy declining over multiple years for the same product class is a resistance signal at your location. Apivar averaging 94% efficacy in 2023, 91% in 2024, and 87% in 2025 is a directional signal even though 87% is still above the 80% resistance flag threshold. That trajectory warrants rotation planning.

What the data tells you: If Apivar shows consistent 90%+ efficacy, you're not in a resistance problem yet. If it's declining, now is the time to rotate more aggressively, not after it drops to 75%.

Pattern 3: Apiary-by-Apiary Comparison

If you manage multiple yards, the annual comparison report shows each apiary's performance:

• Average mite count at each seasonal checkpoint
• Post-treatment recovery rate (how fast counts rebuild after treatment)
• Number of threshold breaches per apiary per season
• Treatment events required per apiary

What to look for: An apiary with consistently higher average counts and faster post-treatment recovery than your other yards is a high-reinfestation-risk location. This could be proximity to other beekeeping operations, microclimate factors affecting brood season length, or a consistently high-mite source in the area (a feral colony in a wall, for example).

What the data tells you: High-pressure apiaries need more frequent monitoring, potentially lower treatment thresholds, and possibly a different rotation that emphasizes higher-efficacy treatments. Identifying which yards are high-pressure based on data is more reliable than guessing.

Pattern 4: Individual Hive Performance

Within each apiary, some colonies consistently show higher mite counts than their neighbors. These are your chronic high-mite colonies.

Look at: which hive IDs appear repeatedly as your highest-count outliers. A hive that ranks in the top 25% of count readings across multiple count rounds is a chronically high-mite colony.

What to look for: A colony that's consistently high despite treatment, while its neighbors are well-controlled, is either a mite bomb (exporting mites from high endemic pressure) or a colony with reduced response to treatment for genetic reasons.

What the data tells you: Chronic high-mite colonies with otherwise normal efficiency (good honey production, normal population growth) are candidates for requeen with VSH genetics. Chronic high-mite colonies with declining strength are candidates for combination or replacement.

Pattern 5: Winter Survival vs. Management Metrics

Compare winter survival data against prior-season mite management metrics:

• Which colonies survived winter and what was their September count?
• Which colonies died and what was their pre-winter treatment timing and efficacy?
• Was there a correlation between October count and winter outcome?

What the data typically shows: Colonies treated before August 15 with good efficacy (90%+) and confirmed low pre-winter counts (below 1% by October) survive at dramatically higher rates than colonies treated late, treated with poor efficacy, or not counted in fall.

What the data tells you: If your survival analysis shows treatment timing was the key variable, your program needs to prioritize the August treatment window. If efficacy was the key variable, your rotation may need revision.

Running the Annual Analysis in VarroaVault

VarroaVault's annual varroa data report generates automatically each January. The report includes:

• Seasonal mite load profile for each hive and each apiary
• Efficacy calculations for each treatment event
• Apiary comparison table
• Individual hive outlier analysis
• Winter survival outcome for the most recent winter
• Year-over-year comparison for operations with multiple years of data

You can also run the analysis manually at any time from Reports > Annual Analysis. The report exports as PDF for sharing with extension services, bee associations, or colleagues.

The most valuable use of the annual report is treatment rotation planning for the coming season: which product class to emphasize, which apiaries need extra attention, and which colonies warrant requeening.

See also: Mite count tracking app and VarroaVault data export.

Frequently Asked Questions

What can I learn from 12 months of mite count records?

Twelve months of count records reveal your operation's seasonal mite load profile (where counts peak and why), treatment efficacy by product (and whether efficacy is declining across seasons, signaling resistance), apiary-by-apiary pressure differences (which yards are chronic high-pressure locations), individual hive outliers (chronic mite-bomb colonies), and the correlation between management metrics and winter survival outcomes. Each pattern generates specific, actionable changes to your program.

How do I analyze my varroa data in VarroaVault?

VarroaVault generates an annual varroa data report automatically each January, covering seasonal profiles, efficacy analysis, apiary comparison, and winter survival outcomes. You can also run manual analysis reports from Reports > Annual Analysis at any time. The report exports as PDF. The most actionable use is treatment rotation planning for the coming season based on efficacy trends and apiary-specific pressure patterns.

What is the most common pattern found in a year of varroa data?

The most common actionable finding is treatment timing gaps: colonies that were monitored monthly but missed the critical August-September treatment window because the mite count was close to but not quite at threshold in late July, then jumped above threshold in September. The data shows a consistent pattern of near-miss timing that could be addressed by either lowering the August treatment threshold or increasing count frequency in July to catch the approaching threshold with more lead time.

How do I know if my varroa treatment is working?

Run a mite count 2-4 weeks after the treatment ends and compare it to your pre-treatment count. The efficacy formula is: ((pre-count - post-count) / pre-count) x 100. A result above 90% indicates effective treatment. Results below 80% should trigger investigation for possible resistance, application error, or reinfestation. Log both counts in VarroaVault to track efficacy trends across treatment cycles.

How often should I check mite levels in my hives?

At minimum, once per month (every 3-4 weeks) during the active season. Increase to every 2 weeks when counts are near threshold or after a treatment to verify it worked. In fall, monitoring frequency matters most because the window to treat before winter bees are raised is narrow. VarroaVault's monitoring reminders can be set to your preferred interval for each apiary.

What records should I keep for varroa management?

Each record should include: date of count or treatment, hive identifier, monitoring method used, number of bees sampled, mites counted, infestation percentage, treatment product name and EPA registration number, dose applied, treatment start and end dates, and PHI end date. State apiarists typically expect this level of detail during inspections. VarroaVault captures all of these fields in a single log entry.

Sources

• American Beekeeping Federation (ABF)
• USDA ARS Bee Research Laboratory
• Honey Bee Health Coalition
• Penn State Extension Apiculture Program
• Project Apis m.

Get Started with VarroaVault

The information in this guide is most useful when you have your own mite count data to apply it to. VarroaVault stores every count, flags threshold crossings automatically, and builds the treatment history you need for state inspections and effective management decisions. Start your free trial at varroavault.com.