The MN dataset was subjected to standard MICS data processing and quality assurance procedures. These included verification of respondent identification variables, range and consistency checks, validation of age and eligibility criteria, skip pattern verification, duplicate record detection, cross-file consistency checks with household and household member datasets, correction of data entry and processing errors, generation of derived variables, and anonymization of the public-use dataset. Data editing procedures followed standard MICS7 guidelines to ensure data quality, reliability, and international comparability.
| Cases: | 4830 |
| Variables: | 217 |