Statistical Mapping [Version 3]

Edit Statistical Mapping (ESM) is a statistical technique used mainly in data validation, error detection, and imputation. It’s often applied in official statistics and large surveys. The method works by:

Defining a set of edits (logical or mathematical rules) that data records must satisfy.

Example: Income ≥ 0, Age ≥ 15 if Employment Status = “Employed”.

Identifying inconsistencies in the data when these edits are violated.

Using statistical mapping to correct or impute missing/inconsistent values based on relationships in the dataset.

Ensuring coherence of microdata so that it aligns with macro-level aggregates.

Supporting survey data cleaning, census editing, and economic statistics preparation.

It’s particularly important for official statistics agencies because data collected from respondents often contains errors, missing entries, or contradictions. ESM ensures that the final dataset is internally consistent, reliable, and ready for analysis.