# Data Entry Accuracy Rate: What 99 Percent Means

- Author: CheapBankConvert (https://cheapbankconvert.com)
- Published: 2026-10-17
- Category: The cost of manual data entry
- Canonical: https://cheapbankconvert.com/blog/data-entry-accuracy-rate

> A 99 percent data entry accuracy rate still means wrong rows. See what each rate means for a 200-row statement and what the errors cost you.
A data entry accuracy rate is the share of entries typed correctly, so 99 percent means one entry in a hundred is wrong. On a 200-row bank statement with four fields a row, that is about eight wrong fields spread over roughly eight rows. Each one has to be found, and finding them is where the cost sits.

## What does a data entry accuracy rate measure?

A data entry accuracy rate compares correct entries with total entries, but the unit matters as much as the number. A rate can be counted per keystroke, per field or per row. The same typist can score 99 percent per field and much lower per row, so always ask what was counted.

Here are the three units, using one statement row as the example:

- **Per keystroke.** Each key pressed is right or wrong. A typed row of about 40 keys gives 40 chances to slip.
- **Per field.** The date, description, amount and category are each right or wrong. A row is four chances.
- **Per row.** The whole row is right only if every field is. A row is one chance.

For bank statement work, the field and row rates are the useful ones. A misspelled payee is a nuisance. A wrong amount changes your totals.

## Field accuracy versus row accuracy on a bank statement

Field accuracy and row accuracy differ because one bad field spoils the whole row. If each of four fields is 99 percent likely to be right, the chance that all four are right is 0.99 times itself four times, about 96 percent. So 99 percent per field becomes about 96 percent per row.

Per keystroke, the effect is far stronger. A row of 40 keys at 99 percent per key comes out clean only about 67 percent of the time, if no slip is caught. In practice typists fix many slips with Backspace before moving on, which is why keystroke rates are usually measured on the finished text.

## What does a 99 percent accuracy rate mean on a 200-row statement?

On a 200-row statement, a 99 percent accuracy rate per field leaves about 8 wrong fields, and they usually fall in about 8 different rows. If the 99 percent is per row instead, you get about 2 wrong rows. Either way, the statement does not balance until you find them.

The table runs the arithmetic for a 200-row statement with 4 fields a row, so 800 fields. The rates are examples; the results are expected counts, rounded.

| Accuracy rate (example) | Wrong fields, if rate is per field | Rows with an error, if rate is per field | Wrong rows, if rate is per row |
| --- | --- | --- | --- |
| 95% | 40 | 37 | 10 |
| 98% | 16 | 16 | 4 |
| 99% | 8 | 8 | 2 |
| 99.5% | 4 | 4 | 1 |
| 99.9% | 0.8 | 0.8 | 0.2 |

Read the 99.9 percent row carefully. Even there, a little over half of all statements this size would still contain at least one wrong field, because 0.999 multiplied by itself 800 times is about 0.45. Perfect typing over hundreds of fields is rare, which is why every method needs a check against the printed totals.

## Putting a price on the errors behind an accuracy rate

Each error costs the minutes it takes to find and fix, times what your hour is worth. If one error takes an example 5 minutes to locate, 8 errors take 40 minutes. At $25 an hour that is about $16.67, on top of the typing itself.

The errors you never find cost more, and they are harder to price. A fee typed as 30.00 instead of 3.00 inflates a category for the year. A missed small charge looks harmless until you add up a year of them, as [what ATM fees cost per year](/blog/atm-fees-per-year) shows for one common fee. The full model of typing time plus error time is in [the manual data entry cost of one statement](/blog/manual-data-entry-cost).

## Accuracy rate trap: a score earned on easy fields

A quoted accuracy rate can flatter the typist when it is measured on easy fields. Dates and short category names are hard to get wrong. Long amounts and handwritten digits are easy to get wrong. A rate averaged across all fields hides a weak spot in the column that matters.

Ask for the rate on amounts alone if you are hiring someone, or measure it yourself. Also ask what the test source was. Copying clean printed text gives a higher rate than reading a faded photo or a handwritten book. Typing [a handwritten ledger into Excel](/blog/type-handwritten-ledger-into-excel) is a much harder test than a typed statement, and the accuracy rate falls with it.

## Measuring your own data entry accuracy rate on one page

You can measure your own data entry accuracy rate in about twenty minutes. Type one statement page without checking, then compare every field with the PDF and count the mistakes. Divide correct fields by total fields. That gives a personal rate for the work you actually do.

1. Pick a page with at least 25 rows.
2. Type it at your normal speed, without going back to check.
3. Compare each field with the statement and mark each wrong one.
4. Divide correct fields by total fields, and separately count wrong amounts.

If the rate is lower than you hoped, cut keystrokes before trying to type more carefully. Text you type often, such as a recurring payee, can be filled by a script; [AutoHotkey for data entry](/blog/autohotkey-for-data-entry) covers that. Better still, skip typing amounts entirely. A converted file takes its digits from the PDF's text; CheapBankConvert lists an early price of $2.99 for a statement up to 10 pages and is not open yet, so [get started](/get-started) to hear when it is. You would still compare its totals with the statement, and that check is a lot shorter than finding eight typos.