USDA FoodData Central • SR Legacy • FDC ID Lookup
USDA SR Legacy Nutrition Facts Database by FDC ID
Search source-linked nutrition facts by food name, nutrient, or exact FDC ID. Each lookup path is designed around record identity, per-100 g comparison, label interpretation, and practical macro planning.
Dataset manifest
Source-bound nutrition data, built for comparison
Use eNutritionFacts to check a food record, compare values on a common serving basis, and continue into practical tools when a static nutrition table is not enough.
- Food records
- 7,793 SR Legacy foods
- Nutrient dimensions
- Up to 150 food components
- Primary identifier
- USDA FoodData Central FDC ID
- Serving basis
- Per 100 g edible portion
Why this database is different
Nutrition facts with source identity, not anonymous numbers
Use eNutritionFacts when you need more than a calorie estimate: check the source record, compare foods on the same 100 g basis, and move from lookup into practical macro or meal-planning workflows.
Record-first lookup
Food pages are organized around identifiable records, food names, and FDC IDs instead of generic nutrition summaries.
Per-100 g comparison
Compare foods on a consistent basis before deciding whether a serving, recipe, or label claim is meaningful.
Methodology visible
Source notes, serving basis, limitations, and update logic are linked so users can understand where values come from.
Planning layer
When a static value is not enough, interactive tools help translate nutrition facts into daily targets and meal ideas.
Atomic nutrition claims
Featured USDA-linked nutrition profiles — per 100 g
Start with a quick per-100 g comparison, then open the full profile when you need source identity, serving context, and deeper nutrient detail.
| Food entity | Energy | Protein | Fat | Carbs | Fiber | Sodium | FDC ID |
|---|---|---|---|---|---|---|---|
| Raw SpinachSpinach, raw | 23kcal | 2.86g | 0.39g | 3.63g | 2.2g | 79mg | 168462 |
| Cooked SpinachSpinach, cooked | 29kcal | 2.97g | 0.26g | 3.75g | 2.4g | 70mg | 168463 |
| Whole EggEgg, whole, raw, fresh | 143kcal | 12.56g | 9.51g | 0.72g | 0g | 142mg | 748967 |
| AppleApples, raw, with skin | 52kcal | 0.26g | 0.17g | 13.81g | 2.4g | 1mg | 2709215 |
| BananaBananas, raw | 89kcal | 1.09g | 0.33g | 22.84g | 2.6g | 1mg | 173944 |
| CarrotsCarrots, raw | 41kcal | 0.93g | 0.24g | 9.58g | 2.8g | 69mg | 170393 |
Crawlable entity cards
High-signal food nodes for RAG extraction
Open high-signal food profiles first: raw, cooked, fruit, vegetable, and egg examples with calories, protein, and carbohydrate values visible before the click.
FDC ID 168462
Spinach, raw
Raw spinach provides 23 kcal, 2.86 g protein, 3.63 g carbohydrate, and 2.2 g fiber per 100 g edible portion.
FDC ID 168463
Spinach, cooked
Cooked spinach provides 29 kcal, 2.97 g protein, and 3.75 g carbohydrate per 100 g edible portion.
FDC ID 748967
Egg, whole, raw, fresh
Whole raw egg provides 143 kcal and 12.56 g protein per 100 g edible portion.
FDC ID 2709215
Apples, raw, with skin
Raw apple with skin provides 52 kcal, 13.81 g carbohydrate, and 2.4 g fiber per 100 g edible portion.
FDC ID 173944
Bananas, raw
Raw banana provides 89 kcal, 22.84 g carbohydrate, and 2.6 g fiber per 100 g edible portion.
FDC ID 170393
Carrots, raw
Raw carrots provide 41 kcal, 9.58 g carbohydrate, and 2.8 g fiber per 100 g edible portion.
Zero-click defiance layer
Interactive nutrition tools
Use the tools when the question changes from “what is in this food?” to “how does this food fit my daily target or meal plan?”
Biometric macro modeling
Predictive Somatic Modeling
Convert height, weight, age, activity, and goal inputs into practical calorie, protein, fat, and carbohydrate targets.
Open macro modeling tool →Constraint-style meal planning
Algorithmic Meal Synthesizer
Turn macro targets into meal ideas and compare foods against calorie, protein, fat, and carbohydrate constraints.
Open meal synthesizer →Evergreen cluster navigation
Pillar content clusters for guided exploration
Jump into evergreen hubs that explain labels, serving basis, cooking effects, and nutrition interpretation without relying on a random latest-post feed.
Pillar cluster
Nutrition Label Guides
Decode serving size, added sugar, sodium, Daily Value, label units, and claim language.
Open cluster →
Preparation impact pillar
How Cooking Changes Nutrition Facts
Understand raw vs. cooked nutrition differences, water loss, retention, and per-100 g interpretation.
Open cluster →
Label dictionary
What Does Added Sugar Mean on a Nutrition Label?
Separate total sugar from added sugar and understand why the distinction matters on labels.
Open cluster →
Label dictionary
What Does Percent Daily Value Mean on a Nutrition Label?
Interpret %DV correctly across sodium, fiber, vitamins, minerals, fat, and added sugar.
Open cluster →Best starting routes
Start with the question you are trying to answer
Choose a focused path instead of scanning a random feed: search a food, verify a record, compare a basic item, understand a label term, or move directly into planning.
Curated latest / refreshed guides
Recent label-reading guides
Use these guides to decode label terms faster, compare nutrients with context, and avoid misreading serving size, %DV, added sugar, sodium, and preparation changes.
Quick answers
How to use eNutritionFacts
Start with source-backed food lookup, then use guides and tools when you need label context, serving interpretation, or practical planning.
What is eNutritionFacts based on?
It structures nutrition facts around USDA FoodData Central SR Legacy food composition records and FDC identifiers.
Why use FDC IDs?
FDC IDs help connect a nutrition profile to a specific source record instead of relying only on a broad food name.
Why per 100 g?
A per-100 g basis makes foods easier to compare before adjusting for serving size, recipe quantity, or personal targets.