It is increasingly acknowledged that data availability plays a crucial role in the fight against poverty. Poverty
data has increased in both quantity and frequency over the past 30 years, but still lags behind the data
available on most other economic phenomena. Yet there are vibrant experiences that are often overlooked:
Ø Data for monetary & multidimensional poverty dramatically increased since 1980.
Ø Sixty countries already produce annual updates to key statistics.
Ø Some have continuous household surveys with cost-cutting synergies.
Ø International agencies have probed short surveys for comparable data.
Ø Certain regions have agreed on harmonised variable definitions across countries.
Ø New technologies can drastically reduce lags between data collection and analysis.
The post-2015 agenda identified the need for regularly updated data to monitor the Sustainable
Development Goals (SDGs). This paper points out existing experiences that shed light on how to break the
cycle of outdated poverty data and strengthen statistical systems. Such experiences show that it is possible to
generate and analyse frequent and accurate poverty data that energizes and enables poverty eradication.