Based on the identifier , you are referring to the World Inequality Database (WID) methodology for categorizing population data.
Could you clarify what system or dataset this code comes from? That would help give a precise feature engineering suggestion. wid age code 992 adults
Drop records where wid_age_code == 992 if adult status is unreliable. Based on the identifier , you are referring
To organize this massive amount of data, WID uses a structured coding system for its variables. A standard WID code consists of four parts: (e.g., share, average, or threshold) Series Concept (e.g., pretax income, national wealth) Age Code (the population group) Population Unit (e.g., individuals or households) Understanding Age Code 992 Drop records where wid_age_code == 992 if adult
Aggregating data under a general code helps protect the identities of individuals in smaller subsets.
It looks like you’re referencing a specific code or label: .
When analyzing "wid age code 992 adults," you are looking at the core economic engine of a nation. Data series ending in 992 allow you to see: