Glossary
sugars_100g field
sugars_100g field is per-100g-or-ml sugar field Open Food Facts normalizes onto product records, comparable across drink SKUs and markets. In Datadory's catalog of 1,744 datasets, Open Food Facts - Open Database & API and Industry brief (distillers-vintners) - landscape narrative are working examples.
What is sugars_100g field?
The per-100g-or-ml sugar field Open Food Facts normalizes onto product records, comparable across drink SKUs and markets.
For beverage work it sits beside ingredient lists, the NOVA processing group and Nutri-Score letter grades.
In this catalog it appears concretely: - Open Food Facts - Open Database & API (what it publishes) — "Crowdsourced open database of ~4.7 million packaged food products worldwide with barcodes, brands, ingredients, Nutri-Score, NOVA, additives and packaging, available as nightly bulk exports and a live JSON API". - Industry brief (distillers-vintners) - landscape narrative — "roughly 4.7 million barcoded products carrying ingredients, sugars_100g, NOVA group and Nutri-Score". - Industry brief (distillers-vintners) - FAQ — "its ~4.7 million product records carry sugars_100g per 100 g or ml, full ingredient lists, NOVA processing group and Nutri-Score letter grades".
Industry brief (distillers-vintners) - landscape narrative is the second reference point worth knowing: "roughly 4.7 million barcoded products carrying ingredients, sugars_100g, NOVA group and Nutri-Score". Reading the two together shows how much variation sits underneath one shared label.
Why does sugars_100g field matter when choosing a dataset?
A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.
The failure mode is concrete: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.
You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and Open Food Facts - Open Database & API lets you inspect the real artifact before any budget is committed.
How do you evaluate sugars_100g field in a data source?
Treat every claim of this attribute as testable:
1.
Related terms
Adjacent concepts worth reading next: - NOVA processing classification - Nutri-Score - per-100g nutrient profile
Frequently asked questions
What is an example of sugars_100g field?
Open Food Facts - Open Database & API is the clearest example in this catalog. Its record on what it publishes reads: "Crowdsourced open database of ~4.7 million packaged food products worldwide with barcodes, brands, ingredients, Nutri-Score, NOVA, additives and packaging, available as nightly bulk exports and a live JSON API". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can.
Is data described as "sugars_100g field" free to use?
Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.
How do I verify a source really provides sugars_100g field?
Open Open Food Facts - Open Database & API next to Industry brief (distillers-vintners) - landscape narrative and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.
Datasets containing this field
Datasets containing sugars_100g field
6 datasets carry sugars_100g field in the catalog. Open one, count the fields, judge for yourself.
American Beverage Association - Industry Data & Insights
British Soft Drinks Association (BSDA)
FAOSTAT Food and Agriculture Data
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