Big data for population and social statistics
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2021Corporate Author/ s
UN.ESCAP
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RT Generic T1 Big data for population and social statistics A1 Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja YR 2021 LK https://hdl.handle.net/20.500.12870/3500 PB United Nations AB This Stats Brief gives an overview of big data sources that can be used to produce population and social statistics and presents country examples in the use of mobile phone data, sales data, Earth Observation data, social media and other online data to produce mobility-related statistics, labour statistics, health statistics and SDG indicators. <p></p> This Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics. OL English(30) TY - GEN T1 - Big data for population and social statistics AU - Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja Y1 - 2021 UR - https://hdl.handle.net/20.500.12870/3500 PB - United Nations AB - This Stats Brief gives an overview of big data sources that can be used to produce population and social statistics and presents country examples in the use of mobile phone data, sales data, Earth Observation data, social media and other online data to produce mobility-related statistics, labour statistics, health statistics and SDG indicators. This Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics. @misc{20.500.12870_3500 author = {Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja}, title = {Big data for population and social statistics}, year = {2021}, abstract = {This Stats Brief gives an overview of big data sources that can be used to produce population and social statistics and presents country examples in the use of mobile phone data, sales data, Earth Observation data, social media and other online data to produce mobility-related statistics, labour statistics, health statistics and SDG indicators. This Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.}, url = {https://hdl.handle.net/20.500.12870/3500} } @misc{20.500.12870_3500 author = {Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja}, title = {Big data for population and social statistics}, year = {2021}, abstract = {This Stats Brief gives an overview of big data sources that can be used to produce population and social statistics and presents country examples in the use of mobile phone data, sales data, Earth Observation data, social media and other online data to produce mobility-related statistics, labour statistics, health statistics and SDG indicators. This Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.}, url = {https://hdl.handle.net/20.500.12870/3500} } TY - GEN T1 - Big data for population and social statistics AU - Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja UR - https://hdl.handle.net/20.500.12870/3500 PB - United Nations AB - This Stats Brief gives an overview of big data sources that can be used to produce population and social statistics and presents country examples in the use of mobile phone data, sales data, Earth Observation data, social media and other online data to produce mobility-related statistics, labour statistics, health statistics and SDG indicators. This Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.Metadata
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Stats Brief
No. 29, 2021
No. 29, 2021
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UNBIST Subject
Abstract
This Stats Brief gives an overview of big data sources that can be used to produce population and social statistics and presents country examples in the use of mobile phone data, sales data, Earth Observation data, social media and other online data to produce mobility-related statistics, labour statistics, health statistics and SDG indicators.
This Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.