Rounding Calculator

Round numbers to any decimal place, significant figure, or whole number. Supports standard rounding, rounding up, and rounding down.

Enter your values above to see the results.

Tips & Notes

  • Look at the NEXT digit (one position right of target). ≥5 rounds up, <5 rounds down.
  • Significant figures: count from first nonzero digit. 0.00456 has 3 sig figs (4,5,6).
  • Rounding 9s can cascade: 3.99 rounded to 1 decimal → look at 2nd decimal (9) → round up → 4.0.
  • Banker rounding (half to even): 2.5→2, 3.5→4, 4.5→4, 5.5→6. Reduces statistical bias.
  • Never round intermediate calculations. Round only the final answer to avoid accumulated error.

Common Mistakes

  • Looking at the wrong digit. To round to tens: look at UNITS digit, not tens digit.
  • Rounding twice (double rounding). 3.449 to 1 decimal: look at 4 (2nd decimal) → 3.4. Not 3.449→3.45→3.5.
  • Dropping significant figures unintentionally. 3.00 has 3 sig figs; writing 3 has only 1.
  • Rounding intermediate results in multi-step calculations — always keep full precision until the end.
  • Confusing decimal places with significant figures. 0.0045 has 2 sig figs but 4 decimal places.

Rounding Calculator Overview

Rounding replaces a number with a nearby approximation that is simpler to work with — fewer digits, a specific decimal place, or a given number of significant figures. The standard rounding rule (round half up) rounds digits 0–4 down and digits 5–9 up. Rounding is not merely a simplification shortcut: it communicates the precision and reliability of measurements, prevents false precision in reported results, and allows for practical computation without carrying unnecessary decimal places through multi-step calculations.

Rounding to decimal places — look at the digit one position beyond the target:

EX: Round 3.14159 to 2 decimal places → 3rd decimal is 1 → 1 < 5 → round down → 3.14
EX: Round 3.14159 to 4 decimal places → 5th decimal is 9 → 9 ≥ 5 → round up → 3.1416
Rounding to the nearest integer, ten, hundred:
EX: 347 to nearest 10 → look at units digit: 7 ≥ 5 → round up → 350
EX: 347 to nearest 100 → look at tens digit: 4 < 5 → round down → 300
Significant figures — counting meaningful digits and rounding appropriately:
EX: 0.003456 to 2 sig figs → first sig fig is 3, second is 4, next digit is 5 → round up → 0.0035
EX: 12,345 to 3 sig figs → first three are 1,2,3 → next digit is 4 → round down → 12,300
Significant figures count from the first non-zero digit. 0.00456 has 3 sig figs (4,5,6). 12,300 has 3 sig figs (unless a decimal point is shown: 12,300. has 5 sig figs). Banker's rounding (round half to even) — when the deciding digit is exactly 5 with nothing after it, round to the nearest even digit: 2.5→2, 3.5→4, 4.5→4, 5.5→6. This eliminates the upward bias that accumulates when standard rounding is applied millions of times in financial calculations. Always carry full precision until the final step. Rounding 3.449 should give 3.4 (one decimal place) — look at the second decimal (4 < 5, round down). Incorrectly rounding in stages: 3.449→3.45→3.5 produces the wrong answer through double rounding. Real-world precision standards: scientific measurements report to the precision of the least precise instrument used. A scale reading 2.37 g added to a volume of 15.3 mL (3 sig figs each) gives a result with 3 sig figs.

Frequently Asked Questions

Rounding replaces a number with a nearby simpler value at the desired precision level. Standard rounding: if the digit immediately after the rounding position is 5 or greater, round up; if 4 or less, round down. Example: round 3.467 to 2 decimal places — look at the third decimal (7 ≥ 5) → round up → 3.47. Round 3.461 to 2 decimals — third decimal is 1 (< 5) → round down → 3.46. The digit being rounded increases by 1 (round up) or stays (round down).

Round half up: 2.5 → 3 (standard rounding, most common). Round half down: 2.5 → 2. Round half to even (banker's rounding): 2.5 → 2, 3.5 → 4 (round to nearest even number when exactly halfway). Banker's rounding is used in financial and statistical software because it eliminates systematic upward bias over many calculations. Truncation: simply drop digits without rounding — 3.78 truncated to 1 decimal = 3.7. Each method serves different contexts.

Rounding prevents false precision — reporting more decimal places than your measurement actually supports. If a scale measures to the nearest gram, reporting 47.3829 grams implies precision that does not exist. Significant figures encode measurement precision: 47 g (2 sig figs) vs 47.4 g (3 sig figs) vs 47.38 g (4 sig figs). In multi-step calculations, rounding errors accumulate — always carry extra precision through intermediate steps and round only the final result. In engineering, rounding errors in floating-point calculations caused the 1991 Patriot missile failure (a 0.000000095% timing error accumulated over 100 hours into a 687-meter targeting error). This calculator shows exactly how standard rounding, floor, and ceiling differ for any number.

Rounding to a decimal place: 3.456 to tenths = 3.5. To a whole number = 3. Rounding to significant figures: 0.004567 to 3 significant figures = 0.00457 (the leading zeros are not significant). 12,345 to 3 significant figures = 12,300. In scientific notation, rounding is clearer: 1.2345 × 10⁴ to 3 significant figures = 1.23 × 10⁴ = 12,300. Always count from the first non-zero digit when rounding to significant figures.

Accuracy is how close a measurement is to the true value. Precision is how consistently close repeated measurements are to each other. High accuracy with low precision: measurements scatter around the correct value but average to it. High precision with low accuracy: measurements are tightly clustered but consistently wrong (systematic error). High accuracy and high precision: measurements cluster tightly around the true value. Rounding affects precision — truncating to fewer decimal places reduces precision. Systematic measurement errors affect accuracy regardless of rounding. In reporting results, significant figures communicate precision: 14.2 cm (3 significant figures) versus 14.200 cm (5 significant figures) implies very different measurement precision.

Rounding errors accumulate when intermediate calculations are rounded before the final result. Example: computing 2.45 + 3.45 + 4.45. Each rounds to 2.5, 3.5, 4.5 → sum = 10.5. Actual sum = 10.35 → rounds to 10.4. Rounding intermediates gave 10.5 (wrong). Always carry full precision through calculations and round only the final answer. In spreadsheets, avoid ROUND() on intermediate cells — let Excel carry full precision and format the display instead.