How COVID-19 is changing the world: a statistical perspective Volume III
An ADB contribution to this report highlights the potential of using innovative data such as satellite imagery and computer vision techniques to help improve the targeting of interventions to reduce poverty. The granularity of poverty statistics—the scale or level of detail in the data—can have a significant impact on the effectiveness of public policy, particularly for targeting areas that need immediate intervention. Conventionally, poverty statistics are compiled using data from surveys of household income, expenditure, or living standards. However, sample sizes of these surveys are rarely large enough to provide reliable estimates of poverty at granular levels and increasing sample sizes can be costly.
