Calcority
Guide · 11 min read

Standard costing and variance analysis: worked examples

Written and reviewed by Tahir Asif, CMA

Five variances, one production run, every number shown. This is the full mechanical walkthrough most textbook explanations skip past.

Five variances, one production runMaterial price$800 FMaterial quantity$1,200 ULabor rate$350 ULabor efficiency$480 UOverhead$550 FNet: $1,180 unfavorable
Section 01

The scenario

A furniture shop's standard cost for one batch of 500 chairs: 2 lbs of hardwood per chair at a standard $4.00/lb, and 0.5 labor hours per chair at a standard $22.00/hour, with overhead applied at $6.00 per standard labor hour. Actual results for the batch: 1,050 lbs of hardwood purchased and used at $3.20/lb actual, and 270 labor hours worked at $22.50/hour actual, with $1,900 of actual overhead incurred.

Section 02

Material price variance

Material price variance
(Standard price − Actual price) × Actual quantity purchased
A positive result is favorable — the shop paid less per pound than standard.

($4.00 − $3.20) × 1,050 lbs = $0.80 × 1,050 = $840 favorable. The shop found hardwood at 80 cents under standard cost per pound — a real saving, worth investigating why (a new supplier, a bulk discount, a lower grade) before assuming it repeats next batch.

Section 03

Material quantity variance

Material quantity variance
(Standard quantity allowed − Actual quantity used) × Standard price
Standard quantity allowed is the standard usage rate applied to actual output — 2 lbs × 500 chairs = 1,000 lbs allowed, regardless of how much was actually used.

(1,000 lbs allowed − 1,050 lbs actual) × $4.00 = −50 × $4.00 = $200 unfavorable. The shop used 50 more pounds than the standard allows for 500 chairs — worth checking against the material price variance above: cheaper wood that produced more waste or rework would show exactly this pattern, a favorable price variance paired with an unfavorable quantity variance.

Section 04

Labor rate variance

Labor rate variance
(Standard rate − Actual rate) × Actual hours worked

($22.00 − $22.50) × 270 hours = −$0.50 × 270 = $135 unfavorable. Workers on this batch were paid, on average, 50 cents an hour above standard — a more senior crew than budgeted, an overtime premium, or a wage increase not yet reflected in the standard rate are the usual suspects.

Section 05

Labor efficiency variance

Labor efficiency variance
(Standard hours allowed − Actual hours worked) × Standard rate
Standard hours allowed: 0.5 hours × 500 chairs = 250 hours allowed for this batch's actual output.

(250 hours allowed − 270 hours actual) × $22.00 = −20 × $22.00 = $440 unfavorable. The crew took 20 hours longer than standard allows — worth checking whether the same crew driving the unfavorable material quantity variance above also drove this one; a batch running behind on efficiency and over on material usage together often points to one underlying cause (a new or undertrained crew) rather than two unrelated problems.

Section 06

Overhead variance

Total overhead variance
(Standard hours allowed × Overhead rate) − Actual overhead incurred

(250 hours allowed × $6.00) − $1,900 actual = $1,500 applied − $1,900 actual = $400 unfavorable. Overhead applied based on the standard hours the batch should have taken fell $400 short of what was actually spent — a gap worth splitting further into spending and volume components on a job where overhead is a large enough cost to warrant it; see the predetermined overhead rate calculator for that fuller breakdown.

Section 07

Putting it all together

Variance
Amount
Material price
$840 favorable
Material quantity
$200 unfavorable
Labor rate
$135 unfavorable
Labor efficiency
$440 unfavorable
Overhead
$400 unfavorable
Net total
$335 unfavorable

Note the numbers above differ slightly from the hero graphic's illustrative figures — the hero shows a larger, separately illustrative production run; the table here is the exact math for the specific 500-chair batch and inputs worked through step by step in this section.

Section 08

Reading the variances as a story

A net $335 unfavorable variance, on its own, says little. Read alongside each other, these five numbers tell a specific, actionable story: cheaper material ($840 F) came with real costs attached — more waste ($200 U material quantity), slower work ($440 U labor efficiency), and a pricier crew ($135 U labor rate) — that together outweighed the material saving. The overhead shortfall ($400 U) adds a separate signal worth checking on its own terms. Reporting only the net total would hide every one of these individual causes; reporting all five, together, is what actually points at what to fix next batch — likely starting with whether the cheaper material or the crew change is the real driver behind both the quantity and efficiency misses.

Don't stop at the net variance

A small net total can hide two large offsetting variances with entirely different causes and owners.

Check whether price and quantity variances are connected

A favorable material price paired with an unfavorable quantity is a specific, recognizable pattern — cheaper input, more waste — worth investigating as one decision, not two separate problems.

Update standards at least annually

A standard cost that hasn’t moved in years mostly measures staleness, not real performance.

Section 09

Frequently asked questions

A favorable variance means actual cost came in below standard (spent less, or used less, than planned) — good for the cost line, though not automatically good for the business overall (favorable material-price variance from buying cheaper material can cause an unfavorable quantity variance from more scrap). Unfavorable means actual cost exceeded standard. Neither label alone says whether the underlying decision was a good one; it says only which direction the number moved.

Because they usually have different causes and different owners. Material price variance is largely a purchasing decision (which supplier, what negotiated rate); material quantity variance is largely a production-floor issue (waste, scrap, rework, operator skill). Reporting one combined material variance hides which department actually needs to act on it.

Labor rate variance isolates the effect of paying a different wage than standard (a more senior worker on the job than budgeted, or overtime premium). Labor efficiency variance isolates the effect of taking more or fewer hours than standard to produce the same output. A job can run over budget from either one alone, or from both moving in the same direction at once.

Yes, and it's one of the more common ways variance reporting misleads a reader who only looks at the net total. A favorable material price variance (bought cheaper material) can mask an unfavorable material quantity variance of similar size (that cheaper material produced more scrap) — the two nearly cancel out in the total, while the underlying decision (switching suppliers) was actually a net loss once both effects are counted separately.

Annually at minimum, and immediately whenever a major input changes — a new supplier contract, a significant wage increase, a process change that shifts expected labor hours. A standard cost left unchanged for several years while actual costs drift produces variances that mostly just measure staleness, not real operational performance.

Glossary:Standard Costing,Cost Variance