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Last year, ESCAP’s research on the uses of big data for official statistics across countries in Asia and the Pacific discovered many challenges the NSOs face when exploring the potential of big data for official statistics. Among the biggest issues are data governance, including regulatory framework impeding the use of alternative sources of data in the production of official statistics and forming new partnerships with the private sector. The Expert Group Meeting on the Uses of Big Data for Official Statistics focused on these two main issues. One of the recommendations of that meeting was the development of a guidance on the uses of big data for official statistics.

Therefore, we are now pleased to share with you the draft Key considerations for using big data for official statistics on the DI-CoP platform for your kind review and comments. We would sincerely appreciate receiving your comments and suggestions by the end of June 2022 to ensure this can be a useful resource for NSOs in Asia and the Pacific. Please submit any questions or edits directly on the page in the comment line, or feel free to reach out to Ms Tanja Sejersen, Statistician, Statistics Division (sejersent@un.org) directly.


SD/WP/14/May 2022

To illustrate the idea of global sustainability accounting, we propose a new ledger that shows a highly aggregated and inclusive approach. With this, we respond to the call for new measures to complement GDP by the UN Secretary General. Our approach highlights the tension between human-centered and ecosystem-centered value systems. The ledger is also explicit about disservices the environment may provide to humans, and services that humans may provide to the environment (both can easily be absent in sustainability indicators). We believe that this approach will support debates that are inclusive of diverging environmental value systems and of diverging attitudes toward ecosystem restoration and technology. Most of all, it delivers an account that can compete with the seductive simplicity of GDP.

Read more: https://bit.ly/Beyond-GDP-Global

Monday, 9 May 2022 from 14:00-15:30 hours, Bangkok time (UTC +7), verify your time here.

Please register at this link and when it’s time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series

UNFPA will organize a webinar on 'Modelled Population Estimates' on 4 May 2022 at 8.00-9.30 am (New York Time)

The event will include overviews of data and methods, as well as presentations from national statistical offices on their use and experience of these approaches. You can register for the event here.

The Open House for UN PET Lab will be organized on Thursday 5 May 2022 at 9.30-11.00 am (New York time).

It will introduce the PET Lab, which was officially launched on 26 January 2022,  and one of the use cases.

For more information and registration, please click here

Thursday, 5 May 2022 from 12:00-13:00 hours, Bangkok time (UTC +7), verify your time here.

Please register at this link and when it’s time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series

Wednesday, 20 April 2022 from 13:00-14:30 hours, Bangkok time (UTC +7), verify your time here.

Please register at this link and when it’s time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series

April 2022 | Issue No. 31

We are pleased to update that the new Stats Brief on "Tapping into administrative data in census-taking:  an emerging trend in Asia and the Pacific" is now released.

It can be accessed at https://www.unescap.org/sites/default/d8files/knowledge-products/Stats_Brief_Issue31_Apr2022_administrative_data_in_census-taking.pdf.

>>>>See other Stats Brief issues


Monday, 11 April 2022, 12:00-13:00h (GMT +7), verify your time here.

Please register at this link and when it’s time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series


The first of this year’s ONS – UNECE Machine Learning Groups Coffee and Coding session is on 27 April 2022 at 0900 – 1100 and repeated at 1430 – 1630 (UK time). 

For more information and to register, please visit one of the following Eventbrite pages:


It is our pleasure to announce the release of the ESCAP Statistics Divisions report on "Emerging trends in census approaches in Asia and the Pacific." This report showcases how some countries in Asia and the Pacific have approached the use of administrative data in population censuses.

Please access the report at https://www.unescap.org/kp/2022/emerging-trends-census-approaches-asia-and-pacific-country-examples.

Monday, 4 April 2022, 13:00-14:30h (GMT +7), verify your time here.

Please register at this link and when it’s time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series

Monday, 28 March 2022 from 12:00-13:00 hours, Bangkok time (UTC +7), verify your time here.

Please register at this link, and when it is time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series


Monday, 21 March 2022, 12:00-13:00h (GMT +7), verify your time here.

Please register at this link and when it’s time, click here to join the meeting.

>>>>See other Asia-Pacific Stats Café Series

FAO has released the technical report "Using small area estimation for data disaggregation of SDG indicators".

This technical report presents a case study based on the use of a small area estimation (SAE) approach to produce disaggregated estimates of SDG Indicator 5.a.1 by sex and at granular sub-national level. In particular, after introducing the framework for using SAE techniques, the report discusses a possible model-based technique to integrate a household or agricultural survey measuring the indicator of interest with census microdata, in order to borrow strength from a more comprehensive data source and produce estimates of higher quality. The discussed estimation approach could also be extended or customized for the integration of survey data with alternative data sources, such as administrative records, and/or geospatial information, and for the disaggregation of other (SDG) indicators based on survey microdata.

Download the report at: https://www.fao.org/documents/card/en/c/cb8998en