Tool

Description

list_dataflows

Browse or keyword-search UNICEF's datasets (dataflows). UNICEF Data covers child health, nutrition, education, child protection, child mortality, child poverty, immunization, water/sanitation/hygiene (WASH) and the child-related SDGs. Each result has an id (the dataflowId you pass to dataflow_structure / get_data), a version, and an English name. There are ~70 datasets; pass query to filter. Example: list_dataflows({ query: "mortality" }) or list_dataflows({ query: "nutrition" }).

dataflow_structure

Get the structure (Data Structure Definition) of one UNICEF dataset: its ordered dimensions and, for each, the valid codes (e.g. countries, indicators, sex, age, wealth quintile). Use this to learn how to build the dot-separated SDMX key for get_data. The key has one position per dimension, in dimension_order; an empty position is a wildcard. Always call this before get_data. Example: dataflow_structure({ dataflow_id: "CME" }).

get_data

Pull observations from a UNICEF dataset. key is a dot-separated SDMX dimension filter, one position per dimension in the order given by dataflow_structure; leave a position empty to wildcard it. Call dataflow_structure first to learn the dimension order and valid codes. Example: get_data({ dataflow_id: "CME", key: ".CME_MRY0T4.." }) filters by INDICATOR=CME_MRY0T4 (under-five mortality rate) and wildcards REF_AREA/SEX/WEALTH_QUINTILE. Omit key (or pass "") to fetch all series — can be large. Returns decoded series with their dimension labels and per-period values.