Tool

Description

list_dataflows

Browse or keyword-search ILOSTAT datasets (dataflows) from the International Labour Organization. Each result has an id (the dataflowId you pass to get_data / dataflow_structure) and an English name. ILO publishes ~1,200 datasets covering employment, unemployment, labour force participation, wages, hours worked, informality, working poverty, child labour, and occupational safety. Always pass query to filter unless you really want the whole list. Example: list_dataflows({ query: "unemployment rate" }) or list_dataflows({ query: "minimum wage" }).

dataflow_structure

Get the structure (Data Structure Definition) of one ILOSTAT dataset: its ordered dimensions and, for each, the valid codes. Use this to learn how to build the dot-separated SDMX key for get_data. The key positions correspond to the dimensions in order; an empty position is a wildcard. Common dimensions are REF_AREA (ISO3 country code, e.g. "USA", "FRA"), FREQ (A=annual, Q=quarterly, M=monthly), SEX, AGE, and MEASURE. Always call this before get_data. Example: dataflow_structure({ dataflow_id: "DF_SDG_0852_SEX_AGE_RT" }).

get_data

Pull observations from an ILOSTAT 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. ILO keys typically start with REF_AREA then FREQ; e.g. get_data({ dataflow_id: "DF_SDG_0852_SEX_AGE_RT", key: "USA.A...", start_period: "2015", end_period: "2024" }) selects the USA, annual frequency, and wildcards the remaining dimensions. Omit key (or pass "") to fetch all series — caution, this can be large. Returns decoded series with their dimension labels and per-period values.