Honey Open Data

Free, structured dataset of 210+ honey varieties from 16 countries. Download as CSV or JSON for research, apps, data journalism, or education.

210+
Honey Varieties
16
Countries
17
Floral Sources
12
Data Fields

What's in the Dataset?

Each record represents a unique honey variety with 12 attributes covering identification, origin, sensory characteristics, pricing, and quality certifications.

FieldTypeDescription
namestringFull variety name (e.g., "Pure Clover Honey - USA")
floral_sourcestringPrimary nectar source — one of 17 categories (Clover, Wildflower, Manuka, etc.)
typestringProcessing type — Raw, Filtered, Pasteurized, Creamed, Comb, Infused, or Organic
originstringCountry of origin (USA, New Zealand, Australia, etc.)
regionstringSub-region within the country (e.g., "Midwest", "North Dakota", "Waikato")
flavor_profilesstringComma-separated tasting notes (sweet, floral, fruity, earthy, bold, spicy, mild, complex)
brandstringProducer or brand name
price_min_usdnumberLowest observed retail price in USD
price_max_usdnumberHighest observed retail price in USD
certificationsstringQuality certifications (USDA Organic, Non-GMO, True Source, UMF ratings)
umf_ratingintegerUnique Manuka Factor rating (Manuka honey only, null otherwise)
mgo_ratingintegerMethylglyoxal concentration in mg/kg (Manuka honey only, null otherwise)

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

You are free to share and adapt this data for any purpose, including commercial use, as long as you provide attribution to Raw Honey Guide.

How to Cite

APA

Raw Honey Guide. (2026). Honey Varieties Open Dataset. https://rawhoneyguide.com/open-data

BibTeX
@misc{rawhoneyguide2026,
  title={Honey Varieties Open Dataset},
  author={Raw Honey Guide},
  year={2026},
  url={https://rawhoneyguide.com/open-data}
}

Who Uses This Data?

Researchers

Study honey pricing, regional production patterns, and flavor chemistry correlations.

App Developers

Build recipe apps, nutrition trackers, or food pairing tools with real honey data.

Data Journalists

Analyze the honey market — price trends, certification adoption, origin diversity.

Educators

Teach data science, agriculture, or food science with a real-world dataset.

Food Bloggers

Reference accurate variety data for recipe posts and honey reviews.

Beekeepers

Compare varieties by region and floral source to understand market positioning.

Frequently Asked Questions

How often is the honey dataset updated?
The dataset is updated whenever new varieties are added to Raw Honey Guide. The database currently contains 210+ varieties and grows as we discover and verify new honeys from around the world.
Can I use this data in my app or research paper?
Yes. The dataset is released under CC BY 4.0. You can use it for any purpose — commercial apps, academic research, data journalism, recipe databases — as long as you credit Raw Honey Guide as the source.
What format should I choose — CSV or JSON?
CSV is best for spreadsheet analysis in Excel, Google Sheets, or R. JSON is best for developers building apps or APIs. Both contain the same 12 fields and 210+ records.
Are the prices accurate and up to date?
Prices reflect typical retail ranges observed at the time each variety was added. They are approximate guides, not real-time market prices. Actual prices vary by retailer, season, and availability.
Do you have an API for real-time access?
Not yet, but it is on our roadmap. For now, the downloadable files are the best way to access the data. If you need API access for a specific project, contact us and we can discuss options.