Thumbnail Image

A methodology for estimating disaster-induced crop and livestock losses at the global scale

Year of publication 2023

Place of publication Rome, Italy ;

Pages 40 p.

Author Rajagopalan, P.; Laske, E.; Zaidi, Z.; Boero, V.;

Publisher FAO ;

Product type Book (series)

ISBN 978-92-5-138267-7

Series title FAO Statistics Working Paper Series

Series number 23-36

Synopsis (short abstract) Agriculture is particularly vulnerable to extreme climatic events, yet knowledge is lacking regarding the precise extent of losses caused by disasters in the sector. This analysis aims to provide the most extensive estimation of disaster losses (including non-hydrometeorological disasters) in the agricultural sector worldwide by including data from 197 countries and 186 commodities from 1991 to 2021, accounting for 12 000 time series and about 9 000 disaster events. The disaster events data is drawn from the Emergency Events Database (EM-DAT) and the records of yields, productions, cultivated areas, and prices for all commodities over the period from FAOSTAT.

Cite this content as:

Rajagopalan, P., Laske, E., Zaidi, Z. & Boero, V. 2023. A methodology for estimating disaster-induced crop and livestock losses at the global scale. FAO Statistics Working Paper Series, No. 23-36. Rome, FAO. 

https://doi.org/10.4060/cc8139en

Language English

Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Book (series)
    FAO’s methodology for damage and loss assessment in agriculture 2020
    Also available in:
    This paper presents the FAO Damage and Loss Assessment methodology as a framework for identifying, analyzing and evaluating the impact of disasters on agriculture, including crops, livestock, aquaculture, fisheries and forestry. Its potential is explored as a strategic tool for assembling and interpreting new or existing information to inform risk-related policy decision-making and planning. Furthermore, the FAO methodology is presented in the larger context of the current global resilience agendas, such as the SFDRR, while its linkages and complementarities with similar approaches are explored. In addition, the flexibility of the methodology in terms of estimation and data needs, as well as its ease of use and wide range of applicability are emphasised.
  • Thumbnail Image
  • Thumbnail Image
    Book (series)
    Food loss estimation: SDG 12.3.1a data and modelling approach 2023
    Also available in:
    No results found.
    Food loss reduction is part of Sustainable Development Goal (SDG) 12 "Responsible Production and Consumption" in Target 12.3: "By 2030, halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses". The SDG indicator monitoring food loss is under the custodianship of FAO, which developed an international food loss estimation model to report food losses and tackle scarce data availability and limited country-produced survey-based data. This paper presents first the resulting global food loss percentage for 2021, the percentages by SDG regions and food groups, describes available input data gathered from different sources (official, external databases and literature), and the methodology used to produce the estimates.
Show more

Users also downloaded

Showing related downloaded files

No results found.