What Is the Schofield Equation?

Developed by W.N. Schofield (1985) for the WHO/FAO/UNU expert consultations on energy requirements, these predictive equations estimate basal metabolic rate (BMR) from body weight, with separate coefficients for sex and age bands from infancy through older adulthood. The FAO/WHO 2001 report retained the weight-only Schofield kcal/day form (Table 5.2) for population energy planning — making it a standard reference in clinical nutrition, pediatrics, and dietetics textbooks.

BMR vs REE vs RMR vs TDEE

Metric

BMR

What it measures

Strict basal conditions (fasting, rest, thermoneutral)

Best use

Schofield primary source term

Metric

REE / RMR

What it measures

Resting energy under less strict lab protocols

Best use

Often used interchangeably with Schofield output in practice

Metric

TDEE

What it measures

Total daily energy (BMR/REE × activity factor)

Best use

Maintenance and goal calorie planning

This calculator shows one resting-energy estimate labeled BMR / REE (Schofield) — not two separate numbers. Predictive equations derived from BMR data are commonly applied as practical REE estimates for meal planning.

Official Schofield Equations (Weight-Only)

Schofield (1985) — general form

BMR/REE (kcal/day) = a × weight (kg) + b

Coefficients (a, b) depend on sex and age band:
  Under 3 · 3–10 · 10–18 · 18–30 · 30–60 · 60+ years

Source: Schofield (1985); FAO/WHO Table 5.2 (weight-only).
kg
Body weight in kilograms (only required input)
a, b
Age- and sex-specific coefficients

Sex

Male

Age band

Under 3

BMR (kcal/day)

59.512×W − 30.4

Sex

Male

Age band

3–10

BMR (kcal/day)

22.706×W + 504.3

Sex

Male

Age band

10–18

BMR (kcal/day)

17.686×W + 658.2

Sex

Male

Age band

18–30

BMR (kcal/day)

15.057×W + 692.2

Sex

Male

Age band

30–60

BMR (kcal/day)

11.472×W + 873.1

Sex

Male

Age band

60+

BMR (kcal/day)

11.711×W + 587.7

Sex

Female

Age band

Under 3

BMR (kcal/day)

58.317×W − 31.1

Sex

Female

Age band

3–10

BMR (kcal/day)

20.315×W + 485.9

Sex

Female

Age band

10–18

BMR (kcal/day)

13.384×W + 692.6

Sex

Female

Age band

18–30

BMR (kcal/day)

14.818×W + 486.6

Sex

Female

Age band

30–60

BMR (kcal/day)

8.126×W + 845.6

Sex

Female

Age band

60+

BMR (kcal/day)

9.082×W + 658.5

Worked Examples

Toddler: male, 2 years, 12 kg

Under-3 age band.

  1. BMR = 59.512 × 12 − 30.4
  2. BMR ≈ 684 kcal/day

Result: Estimated BMR/REE ≈ 684 kcal/day

Child: female, 8 years, 30 kg

3–10 age band.

  1. BMR = 20.315 × 30 + 485.9
  2. BMR ≈ 1,095 kcal/day

Result: Estimated BMR/REE ≈ 1,095 kcal/day

Adult male: 25 years, 70 kg

18–30 age band.

  1. BMR = 15.057 × 70 + 692.2
  2. BMR ≈ 1,746 kcal/day

Result: Estimated BMR/REE ≈ 1,746 kcal/day

Older adult: female, 68 years, 62 kg

60+ age band.

  1. BMR = 9.082 × 62 + 658.5
  2. BMR ≈ 1,221 kcal/day

Result: Estimated BMR/REE ≈ 1,221 kcal/day

Why Age Changes Energy Needs

Resting energy per kilogram is highest in early childhood when growth and organ turnover demand more fuel. During puberty and young adulthood, absolute BMR rises with body size. In later adulthood, lean mass often declines and metabolism per kg can fall — Schofield captures this through different intercepts and weight coefficients by age band rather than a single adult formula.

How This Calculator Works

Step

1. Demographics

What you enter

Age, sex, weight

Result

Auto-selected WHO age band + equation

Step

2. BMR/REE

What you enter

Schofield (1985) weight-only

Result

Resting kcal/day + ±10% range

Step

3. TDEE

What you enter

Activity multiplier (1.2–1.9)

Result

Maintenance at each activity level

Step

4. Goals

What you enter

Deficit or surplus selection

Result

Target calories for your goal

Schofield vs Mifflin-St Jeor

Mifflin-St Jeor (1990)

Male:
BMR = (10 × kg) + (6.25 × cm)
    − (5 × age) + 5

Female:
BMR = (10 × kg) + (6.25 × cm)
    − (5 × age) − 161
kg
Body weight in kilograms
cm
Height in centimeters
age
Age in years

Mifflin requires weight, height, age, and sex — and is validated mainly in adults. Schofield spans all ages with weight-only inputs, making it useful for children and WHO-style references. For healthy adults when height is known, Mifflin is often the site default; compare both at ages 15+ when height is entered. Neither replaces individual calibration.

Schofield vs Harris-Benedict

Harris-Benedict (revised 1984)

Male:
BMR = 88.362 + (13.397 × kg)
    + (4.799 × cm) − (5.677 × age)

Female:
BMR = 447.593 + (9.247 × kg)
    + (3.098 × cm) − (4.330 × age)
kg
Body weight in kilograms
cm
Height in centimeters
age
Age in years

Harris-Benedict uses weight, height, age, and sex without pediatric age bands. Schofield was designed for lifecycle energy requirement work including children. For adults, equations often land in a similar ballpark; divergence matters most at younger or older ages.

Schofield vs WHO/FAO/UNU

The weight-only Schofield equations are the BMR component of the 1985 WHO/FAO/UNU framework. The 2001 FAO consultation evaluated newer ethnic-specific alternatives (e.g., Henry equations) but retained Schofield Table 5.2 for broad use, while noting equations were derived largely from Western Europe and North America — they may overestimate BMR in some other populations.

TDEE estimate error comes from two stacked layers — and the second is usually bigger in practice.

Layer 1: BMR formula error

Mifflin-St Jeor predicts resting metabolic rate within ~10% for roughly 82% of non-obese adults and ~70% of obese adults (Frankenfield et al., 2005). That is ±150–200 kcal for many people.

Layer 2: Activity multiplier error

Picking one activity bucket too high adds ~200–400 kcal/day. Most people remember gym time but underestimate desk hours. Take our Activity Level Quiz if unsure.

Indirect calorimetry remains the gold standard for measured resting energy. Predictive equations — including Schofield — are starting estimates with geographic and individual variation. WHO PAL categories (1.40–2.40) used in clinical factorial methods differ from this site's fitness activity multipliers (1.2–1.9); both are explained in our methodology.

Clinical & Pediatric Context (Informational)

Schofield appears in hospital dietetics workflows, pediatric nutrition references, and research — but this calculator is for personal awareness and education only, not prescribing enteral feeds, ICU targets, or child meal plans. For infants and children, work with qualified healthcare professionals.

Common Mistakes

  • Using the wrong age band manually — this tool selects the band from your age automatically.
  • Expecting height to change Schofield BMR — weight-only equations ignore height unless you use cross-checks.
  • Confusing BMR with TDEE — multiply by activity before planning deficits or surpluses.
  • Assuming universal accuracy — validate with weight trends; equations may not fit all ethnic groups equally.

Myths vs Facts

Myth

Schofield always beats Mifflin for adults.

Evidence-based view

Frankenfield (2005) and others often favor Mifflin for general adults when height is known. Schofield’s strength is age-spanning, weight-only WHO workflows.

Myth

BMR and REE are always different numbers here.

Evidence-based view

Schofield outputs one predictive resting-energy estimate; terminology differs by protocol, not by a second formula in this tool.

Myth

Schofield is only for children.

Evidence-based view

It covers all age bands through 60+ — pediatric support is the differentiator vs many fitness calculators, not the only use case.

Myth

Bed rest equals sedentary (1.2).

Evidence-based view

WHO PAL and clinical bed-rest factors differ from fitness multipliers. Use activity descriptions honestly and calibrate from trends.

Frequently Asked Questions

Common questions about the schofield calculator.

Research & References

Each citation below supports a specific claim on this page. We explain relevance so you can verify the science yourself.

  1. National Academies of Sciences, Engineering, and MedicineFactors Affecting Energy Expenditure and Requirements. Dietary Reference Intakes for Energy — NCBI Bookshelf, 2023.Defines TDEE components (REE, TEF, PAEE) and explains why population equations cannot capture individual metabolic variation.
  2. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YOA new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51(2):241-247, 1990.Primary source for the Mifflin-St Jeor BMR equation used as the default in this calculator.
  3. Roza AM, Shizgal HMThe Harris Benedict equation reevaluated: resting energy requirements and the body cell mass. Am J Clin Nutr. 1984;40(1):168-182, 1984.Source for the revised Harris-Benedict coefficients — default equation on this calculator page.
  4. McArdle WD, Katch FI, Katch VLExercise Physiology: Energy, Nutrition, and Human Performance. Lippincott Williams & Wilkins, 7th edition, 2010.Textbook reference for the lean-body-mass-based Katch-McArdle resting energy estimate.
  5. Frankenfield D, Roth-Yousey L, Compher CComparison of Predictive Equations for Resting Metabolic Rate in Healthy Nonobese and Obese Adults. J Am Diet Assoc. 2005;105(5):775-789, 2005.Meta-analysis showing Mifflin-St Jeor within ~10% of measured RMR for ~82% of non-obese and ~70% of obese adults — supports honest accuracy framing.
  6. Jager R, Kerksick CM, Campbell BI, et al.International Society of Sports Nutrition Position Stand: Protein and Exercise. J Int Soc Sports Nutr. 2017;14:20, 2017.Supports 1.6–2.2 g/kg/day protein ranges for many exercising adults — basis for protein and macro guidance.
  7. Schofield WNPredicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985;39 Suppl 1:5-41, 1985.Primary source for the Schofield age- and sex-specific BMR predictive equations (weight-only kcal/day form retained in FAO/WHO Table 5.2).
  8. FAO/WHO/UNUHuman Energy Requirements — Report of a Joint FAO/WHO/UNU Expert Consultation. FAO Food and Nutrition Technical Report Series, 2001.Table 5.2 Schofield (1985) kcal/day coefficients by age and sex; documents retention of these equations and notes on geographic/ethnic applicability limits.