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SUGAR NormsFree in-browser calculator

SUGAR Norms Lookup.

Pavelko & Owens (2017) normative reference values for the SUGAR 50-utterance language sample protocol. Enter the child's age in years and months and the tool returns MLU, TNW, CPS, and MLUL means with ±1 SD typical ranges. Data stays in your browser.

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Validated2026-04-06
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Look up SUGAR norms by age

Enter the child's age in years and months. The tool returns the age-matched SUGAR row (Pavelko & Owens 2017) with mean and ±1 SD typical ranges for MLU, TNW, CPS, and MLUL.

SUGAR norms cover ages 3;0 through 7;11. Out-of-range ages clamp to the nearest published bin.

Full SUGAR normative table

AgeMLUTNWCPSMLUL
3;0 - 3;53.21581.036.3
3;6 - 3;113.61841.077.3
4;0 - 4;54.02071.108.0
4;6 - 4;114.42301.148.6
5;0 - 5;54.72511.179.3
5;6 - 5;115.02681.219.9
6;0 - 6;55.32851.2510.5
6;6 - 6;115.63021.2911.0
7;0 - 7;55.93181.3311.6
7;6 - 7;116.13321.3612.1

Means from Pavelko & Owens 2017, Tables 2 and 3. SD values used to compute typical ranges in the metric cards above are tabulated in the tool's data file.

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When to use

  • Comparing a SUGAR-protocol 50-utterance sample to age-matched normative reference values
  • Sanity-checking whether a calculated MLU is age-appropriate during evaluation
  • Writing the normative comparison paragraph of a speech-language evaluation report
  • Teaching SLP graduate students how SUGAR norms shift across the 3-to-8 age range
  • Selecting realistic IEP baseline targets grounded in age-matched typical ranges
  • Quickly checking the SD for a metric when scoring a sample against population data

Do not use for

  • Diagnosing a language disorder from a single below-mean value — always require convergent evidence
  • Applying English SUGAR norms to bilingual children without same-language sampling
  • Comparing samples shorter than 50 utterances against the full SUGAR norms
  • Stretching the norms below age 3 or above age 8 — values clamp but become unreliable
  • Substituting SUGAR norms for a standardized norm-referenced test in a formal eligibility decision

SUGAR norms assume the SUGAR protocol

Pavelko and Owens (2017) collected the normative sample with the SUGAR transcription and segmentation rules — 50 consecutive utterances, conversational sampling, SUGAR morpheme counting. If you transcribe with SALT conventions or use a different sample length, the comparison loses some interpretive weight. Match the protocol to the norms.

±1 SD is a watch band, not a diagnostic line

A child sitting one standard deviation below the SUGAR mean is on the lower edge of typical, not impaired. Use ±1 SD as a soft flag, ±2 SD as a stronger flag, and require convergent evidence (multiple metrics, multiple samples, additional measures) before diagnostic conclusions.

TNW grows almost linearly across the table

TNW jumps from roughly 158 words at age 3;0-3;5 to over 330 at 7;6-7;11. A 50-utterance sample with low TNW for age is one of the strongest single-metric warning signs in SUGAR. Always look at TNW alongside MLU.

MLUL is more sensitive than MLU at the top

Once MLU plateaus around age 6-7, MLUL (longest 5 utterances) keeps growing. For older school-age children MLUL is the more sensitive index of advanced grammatical productivity. Don't forget MLUL when reporting on a 6-to-8 year old.

CPS is the school-age signal

Clauses per sentence is the SUGAR metric most aligned with subordinate-clause production and complex syntax. For school-age clinical work CPS often picks up grammatical struggles that MLU has stopped detecting.

1

Method

Means come from Pavelko & Owens (2017), Tables 2 and 3, codified in the shared SLP normative library at src/lib/slp/norms.ts. Standard deviations are taken directly from the same Pavelko & Owens (2017) tables and stored locally to this tool so the foundation library stays focused on means. Typical ranges are computed as mean ±\pm 1 SD at display time; the tool does not store pre-rounded ranges. Out-of-range ages clamp to the closest published bin (3;0 - 3;5 below; 7;6 - 7;11 above) and show a clamp banner so the user knows the reference is approximate.

2

Validated

Last validated 2026-04-06. Calculations are designed for planning and documentation support; verify procurement decisions against manufacturer specifications or institutional SOPs.

3

How to cite

How to Cite

ConductScience SUGAR Norms Lookup (v1.0). ConductScience, Inc. 2026. Available at: https://conductscience.com/tools/sugar-norms-lookup

Pavelko SL, Owens RE. Sampling Utterances and Grammatical Analysis Revised (SUGAR): New normative values for language sample analysis measures. LSHSS. 2017;48(3):197-215. doi:10.1044/2017_LSHSS-17-0022

Owens RE, Pavelko SL. Relationships among conversational language sample measures: Reconfirmation of the construct of expressive language. International Journal of Language & Communication Disorders. 2020;55(4):573-583. doi:10.1111/1460-6984.12544

Rice ML, Smolik F, Perpich D, Thompson T, Rytting N, Blossom M. Mean length of utterance levels in 6-month intervals for children 3 to 9 years with and without language impairments. JSLHR. 2010;53(2):333-349. doi:10.1044/1092-4388(2009/08-0183)

Brown R. A First Language: The Early Stages. Harvard University Press; 1973.

What Are the SUGAR Norms?

SUGAR — *Sampling Utterances and Grammatical Analysis Revised* — is a streamlined language sample analysis protocol introduced by Pavelko and Owens (2017). The SUGAR project simplifies traditional LSA into a 50-utterance sample with four core metrics: MLU in morphemes, Total Number of Words (TNW), Clauses per Sentence (CPS), and Mean Length of Utterance — Longest 5 (MLUL).

Why SUGAR matters. Older normative tables for language samples either required expensive software (SALT) or were grounded in tiny longitudinal samples (Brown 1973, Miller & Chapman 1981). SUGAR was the first free, large-sample (n=1,576), peer-reviewed normative reference for clinical language sampling published in the past decade.
What the table reports. Each row of the SUGAR norms gives the mean and standard deviation of each metric for a 6-month age bin from 3;0 to 7;11. The lookup tool here surfaces the row matching the child's age and shows ±1 SD as a typical range so you can see at a glance whether the child's sample is on, near, or below the population mean.

How to Use This Tool

Enter the child's age in years and months. The tool returns the SUGAR row matching that age:

  • Mean and ±1 SD for MLU (morphemes), TNW (50-utterance total), CPS (clauses per sentence), and MLUL (longest 5 utterances).
  • The full SUGAR table is displayed below the highlighted row so you can see how norms shift across age.
  • Out-of-range ages clamp to the closest available bin (3;0 - 3;5 or 7;6 - 7;11) with a banner explaining the clamp.
Workflow. Run a SUGAR-protocol 50-utterance sample, compute MLU/TNW/CPS/MLUL with the MLU calculator and lexical-diversity calculator, then bring those numbers here to compare against age-matched norms.

SUGAR Metric Glossary

MLU (Mean Length of Utterance — morphemes). Total Brown-rule morphemes divided by total utterances. Single best summary of grammatical maturity in early childhood; plateaus around age 7-8.
TNW (Total Number of Words). Sum of all word tokens across the 50-utterance sample. Coarse but reliable index of overall productivity. Rises roughly linearly across the SUGAR age range.
CPS (Clauses per Sentence). Total clauses (main + subordinate) divided by total sentences. Captures syntactic complexity beyond MLU; sensitive to school-age grammar growth.
MLUL (Mean Length of Utterance — Longest 5). Mean morpheme length of the longest five utterances in the sample. A ceiling-style measure that shows the upper bound of the child's grammatical productivity, used by SUGAR as a sensitive measure of advanced syntax.

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Next steps

Protocol

MLU Calculator — compute MLU-morphemes from a transcript

Reference protocol for the next planning step.

Read guide Protocol

Lexical Diversity Calculator — TTR and NDW

Reference protocol for the next planning step.

Read guide Protocol

Brown's Stages Lookup — developmental framework alongside SUGAR

Reference protocol for the next planning step.

Read guide Protocol

PGU Calculator — percentage of grammatical utterances

Reference protocol for the next planning step.

Read guide