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Educational only, and not medical advice. The figures on this site are estimates from population equations, not measurements of any individual. If you are pregnant, under 18, managing a medical condition, or have any history of disordered eating, speak to a clinician rather than a calculator.

How Wrong Is Your Calorie Count? Error Sources and Ranges

Calorie counting accuracy depends on label error, database variance, portion estimation, and cooking. This page stacks those errors and shows the real range.

A calorie target is a number produced by an equation, not a measurement. The Mifflin-St Jeor equation estimates resting metabolic rate (RMR) from weight, height, age, and sex. For a 35-year-old woman weighing 70 kg and 165 cm tall, RMR is approximately 1,400 kcal/day. Multiplying by an activity factor of 1.55 for moderate exercise gives a maintenance estimate near 2,170 kcal/day. That figure carries a standard error of roughly 10% in the equation itself, so the true maintenance for that person plausibly sits between 1,950 and 2,390 kcal/day. That is the first uncertainty. The second is the accuracy of the intake side: how well the calories actually eaten are counted. This page addresses the second.

The arithmetic of a 2,000 kcal day

A day logged at 2,000 kcal is not a day of 2,000 kcal. It is a day of 2,000 kcal as estimated by a chain of measurements, each with its own error. Those errors compound. The table below lists the main sources and the range each contributes.

Source of errorTypical magnitudeCondition under which it changes
Food label rounding and legal tolerance±20% under US and EU rulesDepends on jurisdiction and food category; EU rounding rules differ for foods above and below 100 kcal/100 g
Database entry variance±10–25% between entries for the same foodDepends on database (USDA vs. user-generated), brand, and whether the entry is raw or cooked
Portion estimation by eye±20–30% for solids, ±15–25% for liquidsDepends on food shape, plate size, and whether the person has been trained to estimate
Cooking method and yield±5–15% for moisture loss or gainDepends on whether the food is weighed raw or cooked, and on the cooking method
Label vs. actual for restaurant meals±20–50%Depends on the establishment; portions are not standardized

These are not independent. A person who estimates a portion by eye and then selects a database entry that matches that estimate is stacking two errors in the same direction. The result is not a random scatter around 2,000 kcal. It is a distribution that can sit systematically above or below.

Worked example: stacking the errors

Take a day logged at 2,000 kcal. Assume the person weighs some foods and estimates others. The following calculation shows how the range widens.

Step 1: Start with the logged total.
  Logged intake = 2,000 kcal

Step 2: Apply label error. Labels are permitted a margin.
  Assume ±10% average for the mixed diet.
  Lower bound: 2,000 × 0.90 = 1,800 kcal
  Upper bound: 2,000 × 1.10 = 2,200 kcal

Step 3: Apply database error. The same food has different entries.
  Assume ±10% for a careful user of a validated database.
  Lower bound: 1,800 × 0.90 = 1,620 kcal
  Upper bound: 2,200 × 1.10 = 2,420 kcal

Step 4: Apply portion estimation error. Some foods weighed, some estimated.
  Assume ±15% overall.
  Lower bound: 1,620 × 0.85 = 1,377 kcal
  Upper bound: 2,420 × 1.15 = 2,783 kcal

Step 5: Apply cooking yield error. Raw vs. cooked weights.
  Assume ±5%.
  Lower bound: 1,377 × 0.95 = 1,308 kcal
  Upper bound: 2,783 × 1.05 = 2,922 kcal

The logged 2,000 kcal day plausibly represents an intake between roughly 1,300 and 2,900 kcal. That is a range of 1,600 kcal. The midpoint is not 2,000 kcal; it is 2,115 kcal. The distribution is not symmetric because the errors are multiplicative, not additive. A person who weighs everything and uses a single validated database can narrow the range considerably. A person who estimates everything and uses a user-generated database widens it.

What people get wrong about calorie counting accuracy

The common mistake is to treat the logged number as a measurement. It is an estimate. The natural error is to assume that because the arithmetic is precise—2,000 is a specific number—the underlying quantity is precise. It is not. The second mistake is to assume that errors cancel out over time. They do not cancel if they are systematic. A person who consistently underestimates portions by 20% will consistently under-log by 20%, not sometimes over and sometimes under. The third mistake is to distrust all arithmetic because the range is wide. The range is wide, but it is not infinite. Weighing food and using a validated database narrows it. The arithmetic is still the best tool available for estimating energy balance.

Why the range matters more than the midpoint

A maintenance estimate of 2,170 kcal/day with a 10% standard error means the true value is plausibly between 1,950 and 2,390 kcal/day. If a person eats 2,000 kcal/day and logs it accurately, they may be in a deficit of 170 kcal/day or a surplus of 390 kcal/day. The direction is not known from the logged number alone. This is why a rate of weight change is a better guide than a single day’s log. Over weeks, the trend in body mass reveals whether the intake is above or below maintenance, regardless of what the log says.

The 7,700 kcal per kilogram figure

The figure 7,700 kcal per kilogram is often used to estimate weight change. It describes the energy content of adipose tissue, not body weight. It is wrong early in a diet because early weight loss includes water and glycogen, which carry less energy per kilogram. It is wrong late in a diet because maintenance falls as mass falls, so the same deficit produces a smaller weight change. The figure is a simplification that is useful for a rough estimate over a few weeks, not for predicting long-term change.

What to do with the range

Weigh food when possible. Use a database that cites its sources, such as the USDA FoodData Central. Log consistently. Compare the weekly average intake to the weekly trend in body mass. If the trend is not moving in the expected direction over three to four weeks, adjust the intake estimate or the maintenance estimate, not the arithmetic. The goal is not a perfect number. The goal is a range narrow enough to make decisions.

When to seek help

This page is for general information and is not medical advice. If calorie counting is causing distress, anxiety, or disordered eating thoughts or behaviors, seek support from a qualified professional. In the United States, the National Eating Disorders Association (NEDA) helpline is available at 1-800-931-2237 or by texting NEDA to 741741. In the UK, Beat’s helpline is 0808 801 0677. In Australia, the Butterfly Foundation helpline is 1800 33 4673. These services provide confidential support and can direct you to local resources.

Common questions

Are calorie labels accurate?

Calorie labels are permitted a margin of error. Under US and EU rules, the stated value can differ from the actual energy content by up to 20% in either direction. This means a 200 kcal label could represent 160 to 240 kcal. The margin is wider for foods with high fiber or variable moisture content.

How accurate is MyFitnessPal?

MyFitnessPal uses a mix of user-generated and verified entries. Accuracy depends on which entry is selected. A verified entry from a restaurant or manufacturer may be within 10% of the label value. A user-generated entry for a homemade meal can be off by 25% or more. The database itself is not the error; the selection is.

What are common calorie tracking mistakes?

Common mistakes include estimating portions by eye instead of weighing, using cooked weights when the entry is for raw food, forgetting to log oils and sauces, and selecting a database entry that matches the desired number rather than the actual food. Each mistake adds to the error range.

How accurate is calorie counting for weight loss?

Calorie counting can be accurate enough to guide weight loss if the range is understood. A logged 2,000 kcal day may represent 1,300 to 2,900 kcal. The trend in body mass over weeks is a better guide than a single day's log. Weighing food and using a validated database narrows the range.

Does cooking change calorie counts?

Cooking changes the weight of food through moisture loss or gain, which changes the energy density per gram. If a database entry is for raw chicken and the food is weighed cooked, the calorie estimate will be wrong. Cooking also can change the availability of energy from some foods, though this effect is smaller than the weight change.

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