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.
What's in the Dataset?
Each record represents a unique honey variety with 12 attributes covering identification, origin, sensory characteristics, pricing, and quality certifications.
| Field | Type | Description |
|---|---|---|
| name | string | Full variety name (e.g., "Pure Clover Honey - USA") |
| floral_source | string | Primary nectar source — one of 17 categories (Clover, Wildflower, Manuka, etc.) |
| type | string | Processing type — Raw, Filtered, Pasteurized, Creamed, Comb, Infused, or Organic |
| origin | string | Country of origin (USA, New Zealand, Australia, etc.) |
| region | string | Sub-region within the country (e.g., "Midwest", "North Dakota", "Waikato") |
| flavor_profiles | string | Comma-separated tasting notes (sweet, floral, fruity, earthy, bold, spicy, mild, complex) |
| brand | string | Producer or brand name |
| price_min_usd | number | Lowest observed retail price in USD |
| price_max_usd | number | Highest observed retail price in USD |
| certifications | string | Quality certifications (USDA Organic, Non-GMO, True Source, UMF ratings) |
| umf_rating | integer | Unique Manuka Factor rating (Manuka honey only, null otherwise) |
| mgo_rating | integer | Methylglyoxal 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
Raw Honey Guide. (2026). Honey Varieties Open Dataset. https://rawhoneyguide.com/open-data
@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?▼
Can I use this data in my app or research paper?▼
What format should I choose — CSV or JSON?▼
Are the prices accurate and up to date?▼
Do you have an API for real-time access?▼
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