Moca Score Calculator
Screen for mild cognitive impairment using the Montreal Cognitive Assessment. Enter values for instant results with step-by-step formulas.
Calculator
Adjust values & calculateTrail-making (1), cube copy (1), clock drawing (3 - contour, numbers, hands)
Identify three animals: lion, rhinoceros, camel (1 point each)
Digit span forward (1), digit span backward (1), sustained attention (1), serial 7s (3)
Sentence repetition (2 sentences, 1 point each), verbal fluency F-words in 1 min (1)
Similarity between two pairs of items (1 point each)
Recall 5 words after approximately 5 minutes (1 point each)
Date (1), month (1), year (1), day (1), place (1), city (1)
Domain Breakdown
Interpretation
Score of 26-30 is within the normal range. The patient demonstrates adequate cognitive function across all assessed domains.
Recommendation
No immediate cognitive intervention needed. Continue routine screening based on age and risk factors.
Formula
The MoCA is scored out of 30 points across seven cognitive domains. One point is added if the patient has 12 or fewer years of formal education. Scores of 26+ indicate normal cognition, 18-25 suggest mild cognitive impairment, 10-17 moderate impairment, and below 10 severe impairment.
Last reviewed: January 2026
Worked Examples
Example 1: Patient with Mild Cognitive Impairment
Example 2: Patient with Low Education
Background & Theory
The Moca Score Calculator applies the following established principles and formulas. Health and medicine calculators are grounded in validated physiological measurement methods established through decades of clinical research. Body Mass Index, or BMI, is calculated by dividing weight in kilograms by height in meters squared (kg/m²), a formula originating from Adolphe Quetelet's 19th-century statistical work and later codified by the WHO into standard classifications: underweight below 18.5, normal weight 18.5 to 24.9, overweight 25 to 29.9, and obese at 30 and above. Basal Metabolic Rate quantifies the minimum energy required to sustain life at rest. The Mifflin-St Jeor equation, published in 1990 and widely regarded as the most accurate for most adults, calculates BMR as (10 × weight in kg) + (6.25 × height in cm) − (5 × age) ± sex adjustment. The older Harris-Benedict equations, revised in 1984 by Roza and Shizgal, remain in common use. Total Daily Energy Expenditure is derived by multiplying BMR by a physical activity factor ranging from 1.2 for sedentary individuals to 1.9 for extremely active ones, following the methodology validated by doubly labeled water studies. Body fat percentage can be estimated without laboratory equipment using the U.S. Navy circumference method, which uses neck, waist, and hip measurements, or via BMI-derived equations adjusted for age and sex. The Jackson-Pollock skinfold method offers higher precision with calipers. Blood pressure classification, according to the American College of Cardiology and the 2017 ACC/AHA guidelines, defines normal as below 120/80 mmHg, elevated as 120 to 129 systolic, and hypertension stage 1 as 130 to 139 systolic or 80 to 89 diastolic. Target heart rate zones for aerobic exercise are derived from maximum heart rate estimates, most commonly using the formula 220 minus age in years, with moderate-intensity training typically defined as 50 to 70 percent of maximum heart rate and vigorous intensity at 70 to 85 percent, consistent with CDC and American Heart Association guidelines. These thresholds guide safe and effective cardiovascular conditioning.
History
The history behind the Moca Score Calculator traces back through the following developments. The history of health measurement stretches back to ancient Greece, where Hippocrates around 400 BCE laid the foundation for observational medicine by systematically recording patient symptoms, diet, and environment. His humoral theory, though scientifically superseded, established the principle that the body operates as an interconnected system subject to measurable imbalance. The transformation toward modern medicine accelerated in the 19th century. Louis Pasteur and Robert Koch developed germ theory in the 1860s and 1870s, identifying microorganisms as disease agents and enabling targeted interventions. Florence Nightingale, working during the Crimean War in the 1850s, introduced statistical analysis to nursing practice, demonstrating through data visualization that sanitation reduced mortality. Her work is foundational to evidence-based health measurement. The discovery of vitamins in the early 20th century, beginning with Casimir Funk's coinage of the term in 1912 and culminating in the isolation of vitamins A through K, created the field of nutritional science and gave rise to dietary reference intake frameworks. The World Health Organization, founded in 1948, subsequently established global standards for health metrics, disease classification through the International Classification of Diseases, and recommended daily allowances. The BMI as a clinical screening tool gained traction in the 1970s through Ancel Keys' large-scale epidemiological work, which validated Quetelet's index as a population-level obesity indicator. Through the 1980s and 1990s, the Framingham Heart Study produced landmark data linking cholesterol, blood pressure, and lifestyle factors to cardiovascular disease risk, directly shaping the numeric thresholds still used in health calculators. The evidence-based medicine movement, formalized by Gordon Guyatt and colleagues at McMaster University in the early 1990s, demanded that all health recommendations derive from systematically graded clinical evidence. The digital health era beginning in the 2000s brought these formulas to consumer devices, wearable sensors, and smartphone applications, expanding access to health self-monitoring on a global scale and enabling population-level data collection that continues to refine clinical reference ranges.
Frequently Asked Questions
Sources & References
- 1Nasreddine ZS, et al. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment. JAGS. 2005;53(4):695-699
- 2Carson N, Leach L, Murphy KJ. A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores. Int J Geriatr Psychiatry. 2018;33(2):379-388
- 3MoCA Official Website - Montreal Cognitive Assessment
Formula
MoCA = Visuospatial/Exec (0-5) + Naming (0-3) + Attention (0-6) + Language (0-3) + Abstraction (0-2) + Delayed Recall (0-5) + Orientation (0-6) + Education Adj (0-1)
The MoCA is scored out of 30 points across seven cognitive domains. One point is added if the patient has 12 or fewer years of formal education. Scores of 26+ indicate normal cognition, 18-25 suggest mild cognitive impairment, 10-17 moderate impairment, and below 10 severe impairment.
Worked Examples
Example 1: Patient with Mild Cognitive Impairment
Problem: A 68-year-old patient with 16 years of education scores: Visuospatial/Executive 3/5, Naming 3/3, Attention 5/6, Language 2/3, Abstraction 1/2, Delayed Recall 2/5, Orientation 6/6. Calculate MoCA score.
Solution: Raw Score = 3 + 3 + 5 + 2 + 1 + 2 + 6 = 22\nEducation adjustment: 16 years > 12, so no adjustment (+0)\nAdjusted Score = 22\nCutoff for normal: 26+\nScore of 22 falls in MCI range (18-25)\nWeakest domain: Delayed Recall (2/5 = 40%)
Result: MoCA Score: 22/30 (Mild Cognitive Impairment) - Neuropsychological evaluation recommended
Example 2: Patient with Low Education
Problem: A 75-year-old patient with 10 years of education scores: Visuospatial/Executive 4/5, Naming 3/3, Attention 5/6, Language 2/3, Abstraction 2/2, Delayed Recall 3/5, Orientation 6/6. Calculate adjusted MoCA score.
Solution: Raw Score = 4 + 3 + 5 + 2 + 2 + 3 + 6 = 25\nEducation adjustment: 10 years <= 12, so +1 point\nAdjusted Score = 25 + 1 = 26\nCutoff for normal: 26+\nAdjusted score of 26 reaches normal threshold\nWithout adjustment, raw score of 25 would suggest MCI
Result: MoCA Score: 26/30 (Normal Cognition with education adjustment) - Continue routine screening
Frequently Asked Questions
How does the education adjustment work in MoCA scoring?
The MoCA includes an education correction to reduce bias against individuals with fewer years of formal education. If a patient has 12 years of education or less, one point is added to the total score, up to the maximum of 30. This adjustment helps account for the fact that individuals with limited educational backgrounds may perform slightly lower on certain cognitive tasks not because of cognitive impairment but because of reduced exposure to academic-type tasks. However, some researchers argue that the single-point adjustment is insufficient for individuals with very limited education, and population-specific norms may be more appropriate. The education adjustment should be documented when reporting MoCA scores.
What is the recommended cutoff score for the MoCA and has it changed?
The original recommended cutoff for the MoCA was 26 out of 30, with scores below 26 considered abnormal. However, subsequent research has suggested that this cutoff may be too high, leading to excessive false positive rates in some populations. Many clinicians and researchers now advocate for a lower cutoff of 23 or 24 to improve specificity while maintaining adequate sensitivity. The optimal cutoff may vary based on the population being screened, the clinical setting, and the specific purpose of screening. In primary care settings, a cutoff of 23 may be more appropriate to reduce unnecessary referrals, while specialty memory clinics may prefer the more sensitive cutoff of 26 to avoid missing early cases.
How does the MoCA delayed recall section work and why is it clinically important?
The MoCA delayed recall section requires patients to learn five words (typically face, velvet, church, daisy, red) during the registration phase and recall them after approximately five minutes of intervening tasks. Each correctly recalled word receives one point, for a maximum of five points. This section is clinically important because impaired delayed recall is one of the earliest and most sensitive markers of Alzheimer disease, reflecting hippocampal dysfunction. The MoCA also includes a cued recall component that is not scored but provides additional clinical information. If a patient fails free recall but succeeds with category or multiple-choice cues, this suggests a retrieval deficit rather than an encoding deficit, which has different diagnostic implications.
Can the MoCA be used for serial monitoring of cognitive function over time?
Yes, the MoCA is commonly used for serial cognitive monitoring, and three alternate versions (versions 2, 3, and the original) are available to reduce practice effects when retesting. The recommended interval between assessments depends on the clinical situation, typically 6 to 12 months for monitoring stable patients and 3 to 6 months for evaluating treatment response or tracking rapid decline. A change of 2 to 4 points between assessments is generally considered clinically meaningful, though the reliable change index varies by population. Serial MoCA testing is particularly useful for monitoring patients with mild cognitive impairment to detect conversion to dementia, assessing response to cognitive interventions, and tracking decline in diagnosed dementia patients.
What are the visuospatial and executive function tasks on the MoCA?
The visuospatial and executive function section of the MoCA is worth 5 points and includes three distinct tasks. The trail-making task (1 point) requires alternating between numbers and letters in sequence (1-A-2-B-3-C-4-D-5-E). The cube copy task (1 point) asks the patient to accurately copy a three-dimensional cube drawing. The clock drawing task (3 points) requires drawing a clock showing a specific time, scored for contour (1 point), correct number placement (1 point), and correct hand placement (1 point). These tasks assess multiple executive functions including set-shifting, planning, visuospatial processing, and visuoconstructional ability, which are often impaired in frontotemporal dementia and vascular cognitive impairment.
How does the MoCA perform in different cultural and linguistic populations?
The MoCA has been translated into over 60 languages and adapted for use in numerous cultural contexts worldwide. However, cross-cultural validation studies have shown that performance on certain items is influenced by cultural and educational factors. Items particularly sensitive to cultural variation include the trail-making task, which requires familiarity with the Roman alphabet, and the verbal fluency task, which varies by language structure. Some adaptations have modified animal naming stimuli to use locally familiar species. Research consistently shows that education-adjusted norms vary significantly across countries and cultural groups. Clinicians using the MoCA in diverse populations should refer to culturally appropriate normative data rather than relying solely on the standard cutoff of 26.
References
- Nasreddine ZS, et al. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment. JAGS. 2005;53(4):695-699
- Carson N, Leach L, Murphy KJ. A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores. Int J Geriatr Psychiatry. 2018;33(2):379-388
- MoCA Official Website - Montreal Cognitive Assessment
Reviewed by Rahul Singh, Health & Wellness Specialist · Editorial policy