Webinar on Poverty Mapping using Small Area Estimation Techniques

Thursday, 1 July 2020, 10am (EDT)

UN-ECLAC Statistics Division and Intersecretariat Working Group on Household Surveys



Implementing the Sustainable Development Goals (SDG) requires addressing the challenge of “leaving no one behind” and overcoming inequalities. The adoption of public policies at the subnational level requires integrating data from different sources to obtain proper estimates for geographical areas within countries. SDG indicator 1.1.1 seeks to estimate the proportion of the population below the international poverty line, disaggregated by sex, age group, employment status, and geographical location.

Moreover, the COVID-19 pandemic and the measures taken to contain it and prevent its further spread are causing an enormous effect on the economy and the living conditions of the population. As ECLAC has reported, Latin America and the Caribbean are being severely affected as the number of people living in poverty will grow from 185.5 million in 2019 to 230.9 million in 2020, representing 37.3% of the Latin American population. ECLAC also projected greater inequality in the distribution of income in all the region countries, with an average increase of the Gini index around 5% in a single year.

The growing need for disaggregated statistics for specific geographic areas and small groups of the population can be adequately fulfilled by Small Area Estimation (SAE) procedures, which allows achieving accuracy beyond the limits of the survey sample approach. Many countries have begun to use SAE techniques in order to provide official poverty statistics. The World Bank, the UN Regional Commissions, and the Inter-Secretariat Working Group on Household Surveys have established capacity-building projects to support countries in estimating poverty indicators at the subnational level.

Objectives and outcomes

As many countries have turned their attention to the estimation of poverty at the subnational level, this webinar aims to guiding practical aspects of poverty mapping. The webinar will also present some experiences by countries on developing methodologies concerning the production of disaggregated statistics using SAE techniques; and on transforming SAE from experiment to official data production.

Target audience

The webinar will bring together social researchers from the National Statistical Offices (NSOs) and other parts of the National Statistical Systems (NSSs) to strengthen their capacity to estimate SDG indicators at the subnational level, with a particular focus on poverty indicators.


  • National Statistical Institutes
  • Government Agencies
  • World Bank
  • Statistics Division, Economic Commission for Latin America and the Caribbean.
  • Inter-Secretariat Working Group on Household Surveys

Length of the webinar

2 hours


ECLAC's WEBEX with translation (English/Spanish, Spanish/English)

Webinar Programme (EDT time)

10:00 - 10:10 Welcome

10:10 - 10:30 Presentation of the Toolkit for SAE

10:30 - 10:50 ECLAC: poverty mapping in LAC

10:50 - 11:10 SAIPE: poverty mapping in USA

11:10 - 11:30 DPS: poverty mapping in Colombia

11:30 - 11:50 STATIN: poverty mapping in Jamaica

11:50 - 12:10 WB: poverty mapping in the world

12:10 - 12:30 Discussion


Conferences, workshops, seminars
Methodology of data collection, processing, dissemination and analysis