The whole source, organized and ready to query: every endpoint on this page answers in milliseconds. Every response carries
as_of: how current the data is. How datasets work.Labour market
POST /co/dane/labour-market/v1 Dataset
The labour-market series, filtered by any combination of territory,
indicator, period type, domain and dates. Newest period first.
as_of (how current the data is), the applied filters, total and total_is_exact, page, per_page, total_pages, count and results[].
Poverty
POST /co/dane/poverty/v1 Dataset
Monetary and multidimensional poverty, filtered by territory, indicator,
domain and years. Most recent year first.
as_of (how current the data is), the applied filters, total and total_is_exact, page, per_page, total_pages, count and results[].
Municipal IPM
POST /co/dane/municipal-ipm/v1 Dataset
The 2018 census multidimensional poverty of a municipality, of every
municipality of a department, or of the municipalities whose name matches.
as_of (how current the data is), the applied filters, total and total_is_exact, page, per_page, total_pages, count and results[].
Census by municipality
POST /co/dane/census-municipalities/v1 Dataset
The 2018 census profile of a municipality, of every municipality of a
department, or of the municipalities whose name matches.
as_of (how current the data is), the applied filters, total and total_is_exact, page, per_page, total_pages, count and results[].
Response
Every response carriesas_of: how current the data is.
Labour market and poverty (results[])
Municipal IPM (results[])
territory_code, territory_name, department_code, department_name,
year (2018), ipm, ipm_urban, ipm_rural (percent of people in
multidimensionally poor households), deprivations[] (indicator_code,
indicator, total, urban, rural for each of the fifteen
deprivations), document_url and source_document_url.
Census by municipality (results[])
territory_code, territory_name, department_code, department_name,
year (2018), latitude, longitude, area_km2, population
(total, men, women, in_households, in_group_quarters), age
(ten-year bands), education, households, dwellings (by type and
occupancy), services (electricity, water, sewerage, gas, garbage
collection, internet), estrato (dwellings by the estrato they are billed
in for electricity: e1 to e6 and unknown) and units (residential,
mixed, non-residential and group quarters). All counts.
Monetary poverty by department covers 23 departments and Bogotá: DANE does
not publish it for Amazonas, Arauca, Casanare, Guainía, Guaviare, Putumayo,
San Andrés, Vaupés and Vichada. Multidimensional poverty covers all 33. The
national labour market leaves out the non-capital areas of Amazonía and
Orinoquía, as DANE does.
Full reference
Schemas, all response fields, and an interactive playground.