World Statistics Day reminds us that to ensure social and economic growth, support for data-backed policymaking is needed.
Innovative, new methods are needed to estimate poverty due to the high costs and long time frame of traditional methods.
By some estimates, the digital economy now accounts for trillions of dollars. But policymakers and companies still lack the data needed to fully understand it.
These charts illustrate how Sri Lanka’s elderly population is increasing while the number of working-age people to help support them is declining. Forward-thinking policies are needed to address the challenges arising from this imbalance.
The exponential growth of data and artificial intelligence is creating a tug-of-war between data for profit and data for the common good. In this struggle, it is fundamental that we protect our basic human data rights.
Collecting sex-disaggregated data on asset ownership is an important step in achieving gender equality and empowerment of women and girls in Asia and the Pacific.
Area frame sampling – which compiles objective agriculture data using geographic areas and advanced technology – is increasingly being used in Asia to help farmers prepare for climate change and extreme weather.
Parental characteristics are not the sole determining factor of one’s future mobility prospects in Asia and the Pacific.
Both emerging and existing technologies should complement each other to bolster agricultural data quality.
Trade services are a viable alternative to keep low-skilled workers out of poverty in middle-income countries.