WLD_2023_WFSO_v01_M World Food Security Outlook Bo Pieter Johannes Andree 2023-10-30T04:00:00.000Z MetadataEditor v1.1 Bo Pieter Johannes Andree, World Bank, Development Economics Data Group World Food Security Outlook WFSO WLD_2023_WFSO_v01_M Bo Pieter Johannes Andree

Food and Agriculture Organization (FAO)

MetadataEditor Federal Ministry for Economic Cooperation and Development as part of the World Bank’s Food Systems 2030 Multi-Donor Trust Fund TF073570 and TF0C0728 Other Household Health Survey [hh/hea] July 2024 Bo Pieter Johannes Andree Food Security Macro-economic outlook Inflation Fragility, Conflict and Violence Economic Outlook SDG2 Hunger Malnutrition Food Crisis FIES Food Insecurity Humanitarian Aid Q18 - Agricultural Policy; Food Policy F35 - Foreign Aid I32 - Measurement and Analysis of Poverty O13 - Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products Q01 - Sustainable Development I14 - Health and Inequality World World 191 countries and territories mutually included by the World Bank's WDI and IMF's WEO databases. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. Country Process-produced data [pro] The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. Panel survey [pan_svy] Model is based on Andree, B.P.J. Machine Learning Guided Outlook of Global Food Insecurity Consistent with Macroeconomic Forecasts. Policy Research working paper; no. WPS 10202 Washington, D.C. : World Bank Group. [http://hdl.handle.net/10986/38139](http://hdl.handle.net/10986/38139) Scale up to 191 countries was implemented in Gatti, R., Lederman, D., Islam, A.M., Bennett, F.R., Andree, B.P.J., Assem, H., Lotfi, R., Mousa, M.E. (2023). Altered Destinies: The Long-Term Effects of Rising Prices and Food Insecurity in the Middle East and North Africa. MENA Economic Update; April 2023. Washington, DC. World Bank. [http://hdl.handle.net/10986/39559](http://hdl.handle.net/10986/39559) The financing needs are calculated following IDA (2020) Responding to the Emerging Food Security Crisis, and IDA (2021) Mid Term Review of the Crisis Response Window Early Response Financing. WFSO_oct_2022 World Food Security Outlook October 2022 20437 11 The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. October 2022 This version is based on the World Economic Outlook of October 2022. Data cut-offs for the World Bank's World Development Indicators, IMF’s World Economic Outlook, FAO’s national statistics (FAO-STAT) on food insecurity and global food prices (FAO-FPI), the World Bank’s RTFP data on food prices in data-poor regions, and FEWS NET assessments, are set to October 20, 2022. These data do not yet reflect all events up to the cutoff date as there can be lag with which official data are published. WFSO_apr_2023 World Food Security Outlook April 2023 19673 11 The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. April 2023 This version is based on the World Economic Outlook of April 2023. Data cut-offs for the World Bank's World Development Indicators, IMF’s World Economic Outlook, FAO’s national statistics (FAO-STAT) on food insecurity and global food prices (FAO-FPI), the World Bank’s RTFP data on food prices in data-poor regions, and FEWS NET assessments, are set to October 20, 2022. These data do not yet reflect all events up to the cutoff date as there can be lag with which official data are published. WFSO_july_2023 World Food Security Outlook July 2023 21010 11 The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. July 2023 This version is based on the World Economic Outlook of October 2022. Data cut-offs for the World Bank's World Development Indicators, IMF’s World Economic Outlook, FAO’s national statistics (FAO-STAT) on food insecurity and global food prices (FAO-FPI), the World Bank’s RTFP data on food prices in data-poor regions, and FEWS NET assessments, are set to July 2023. These data do not yet reflect all events up to the cutoff date as there can be lag with which official data are published. WFSO_oct_2023 World Food Security Outlook October 2023 21010 11 The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. October 2023 This version is based on the World Economic Outlook of October 2022. Data cut-offs for the World Bank's World Development Indicators, IMF’s World Economic Outlook, FAO’s national statistics (FAO-STAT) on food insecurity and global food prices (FAO-FPI), the World Bank’s RTFP data on food prices in data-poor regions, and FEWS NET assessments, are set to October 2023. These data do not yet reflect all events up to the cutoff date as there can be lag with which official data are published. WFSO_apr_2024 World Food Security Outlook April 2024 21583 11 The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. April 2024 WFSO_july_2024 World Food Security Outlook July 2024 21583 11 The WFSO data and metadata provided are "as is" and "as available," and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they can be reported to the principal investigator and will be corrected as appropriate and feasible. The country coverage is based on mutual inclusion in both the World Bank World Development Indicators database and the International Monetary Fund’s World Economic Outlook database. Some countries and territories may not be covered. Every attempt is made to provide comprehensive coverage. To produce complete historical predictions, missing data in the WDI are completed with unofficial data from the WEO and the World Bank's RTFP data when inflation data is not available in either database. Final gaps in the WDI and WEO are interpolated using a Kernel-based pattern-matching algorithm. See background documentation for equations. July 2024 ISO code of the country 20437 None None None None ISO3C codes, also known as ISO 3166-1 alpha-3 codes, are three-letter country or territory codes that are part of the ISO 3166 international standard. These codes are used to uniquely represent and identify countries and dependent territories in a standardized manner. Each ISO3C code corresponds to a specific country or territory and is often used in various applications, such as international trade, banking, internet domain names, and statistical analysis, to simplify and standardize country and territory references. Name of the country 20437 None None None None Country names follow their appearance in the World Bank World Development Indicators Unit of measurement 20437 None None None None The unit of measurement as states applies to the value as appears in the data. Thus, when the unit of measurement is 1000 USD and the value of the Short-Term Caloric Needs Financing (Thousands) indicator is 100, the annual financing needs are 100,000 USD. The unit of measurement refers to the standardized attribute or quantity used to express and quantify the food insecurity data, ensuring consistency and comparability across observations. Year of the observation 20437 1999.0 2027.0 2015.2429906542056 8.898228737939702 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 Note that the food insecurity indicators follow a 3-year centered moving average. Thus, when the year is 2000, the value for any indicator reflects the average for the 1999-2001 period. The calendar year in which the data point occurred The food insecurity indicator value Some values are imputed using the different methods that are described. The flag, notes and estimated fields contain information about the imputation procedure and when it was carried out. 20437 0.1 359815726.0 1480307.0787992366 11470808.342155403 The approach to calculate Short-Term Caloric Needs Financing (Thousands) follows the original calculations by the IDA reference provides in the notes field and were based on a conservative estimate of safety net financing needs of the World Bank's FCV (Fragility, Conflict and Violence) operational portfolio. The prevalence rates are expressed as the 3-year average percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the Food Insecurity Experience Scale (FIES) questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Financing needs are calculated at the level required to meet the short-term replacement cost of 25 percent of daily caloric needs for the number of severely food insecure people. A field that flags actual data and estimated data 20437 None None None None Additional information about estimated data is provided in the note, estimated and type fields. Actual data reflect data taken from the WDI or FAOSTAT, estimates are non-actual data that are unofficial but best attempts at approximating the data as it would have appeared in official sources were it available. Additional notes about the observation or estimation 20437 None None None None Additional information about the estimation methods A field for each observation with the date at which the data was generated 20437 None None None None The estimation date for actual data is set two years ahead of the observation year. This discrepancy arises because official data is typically published with a one-year lag, and the data is presented as three-year centered moving averages. Despite updates to this data, the values should ideally remain consistent. However, it's worth noting that the Prevalence data is directly downloaded from FAOSTAT after release of the SOFI report, and our team has observed that figures appearing later in the World Development Indicators sometimes deviate from this data and backward corrections may have been applied, resulting in changes to the actuals in our dataset across different versions. Similarly, the population counts can be backward revised when the United Nations releases a backward revision of national population counts. For the most up-to-date official data, users should always refer to FAO as their primary source. Historical estimates are consistently updated in each version of this dataset, as the model used to produce these estimates undergoes retraining with new data. Additionally, data derived from IPC-compatible sources is also subject to updates, as the linear regression model used for this data is re-estimated whenever new data becomes available. The calendar year in which the data point was produced Short name of the food insecurity indicator 20437 None None None None See long name for a more detailed definition Short definition of the food insecurity indicator Long name of the food insecurity indicator 20437 None None None None See short name for a shorter definition. Long definition of the food insecurity indicator A field that describes the type of observation or estimate 20437 None None None None To provide comprehensive coverage, multiple estimation methods are used. See the note field and estimated field. For detailed information, see the background documentation provided with this dataset. The type of observation or estimate ISO code of the country 19673 None None None None ISO3C codes, also known as ISO 3166-1 alpha-3 codes, are three-letter country or territory codes that are part of the ISO 3166 international standard. These codes are used to uniquely represent and identify countries and dependent territories in a standardized manner. Each ISO3C code corresponds to a specific country or territory and is often used in various applications, such as international trade, banking, internet domain names, and statistical analysis, to simplify and standardize country and territory references. Name of the country 19673 None None None None Country names follow their appearance in the World Bank World Development Indicators Short name of the food insecurity indicator 19673 None None None None See long name for a more detailed definition Short definition of the food insecurity indicator Long name of the food insecurity indicator 19673 None None None None See short name for a shorter definition. Long definition of the food insecurity indicator Unit of measurement 19673 None None None None The unit of measurement as states applies to the value as appears in the data. Thus, when the unit of measurement is 1000 USD and the value of the Short-Term Caloric Needs Financing (Thousands) indicator is 100, the annual financing needs are 100,000 USD. The unit of measurement refers to the standardized attribute or quantity used to express and quantify the food insecurity data, ensuring consistency and comparability across observations. Year of the observation 19673 1999.0 2027.0 2014.9417475728155 8.934534515625373 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 Note that the food insecurity indicators follow a 3-year centered moving average. Thus, when the year is 2000, the value for any indicator reflects the average for the 1999-2001 period. The calendar year in which the data point occurred The food insecurity indicator value Some values are imputed using the different methods that are described. The flag, notes and estimated fields contain information about the imputation procedure and when it was carried out. 19673 0.1 251401449.0 1425572.9966344738 10343425.573119631 The approach to calculate Short-Term Caloric Needs Financing (Thousands) follows the original calculations by the IDA reference provides in the notes field and were based on a conservative estimate of safety net financing needs of the World Bank's FCV (Fragility, Conflict and Violence) operational portfolio. The prevalence rates are expressed as the 3-year average percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the Food Insecurity Experience Scale (FIES) questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Financing needs are calculated at the level required to meet the short-term replacement cost of 25 percent of daily caloric needs for the number of severely food insecure people. A field that flags actual data and estimated data 19673 None None None None Additional information about estimated data is provided in the note, estimated and type fields. Actual data reflect data taken from the WDI or FAOSTAT, estimates are non-actual data that are unofficial but best attempts at approximating the data as it would have appeared in official sources were it available. A field that describes the type of observation or estimate 19673 None None None None To provide comprehensive coverage, multiple estimation methods are used. See the note field and estimated field. For detailed information, see the background documentation provided with this dataset. The type of observation or estimate Additional notes about the observation or estimation 19673 None None None None Additional information about the estimation methods A field for each observation with the date at which the data was generated 19673 None None None None The estimation date for actual data is set two years ahead of the observation year. This discrepancy arises because official data is typically published with a one-year lag, and the data is presented as three-year centered moving averages. Despite updates to this data, the values should ideally remain consistent. However, it's worth noting that the Prevalence data is directly downloaded from FAOSTAT after release of the SOFI report, and our team has observed that figures appearing later in the World Development Indicators sometimes deviate from this data and backward corrections may have been applied, resulting in changes to the actuals in our dataset across different versions. Similarly, the population counts can be backward revised when the United Nations releases a backward revision of national population counts. For the most up-to-date official data, users should always refer to FAO as their primary source. Historical estimates are consistently updated in each version of this dataset, as the model used to produce these estimates undergoes retraining with new data. Additionally, data derived from IPC-compatible sources is also subject to updates, as the linear regression model used for this data is re-estimated whenever new data becomes available. The calendar year in which the data point was produced ISO code of the country 21010 None None None None ISO3C codes, also known as ISO 3166-1 alpha-3 codes, are three-letter country or territory codes that are part of the ISO 3166 international standard. These codes are used to uniquely represent and identify countries and dependent territories in a standardized manner. Each ISO3C code corresponds to a specific country or territory and is often used in various applications, such as international trade, banking, internet domain names, and statistical analysis, to simplify and standardize country and territory references. Name of the country 21010 None None None None Country names follow their appearance in the World Bank World Development Indicators Short name of the food insecurity indicator 21010 None None None None See long name for a more detailed definition Short definition of the food insecurity indicator Long name of the food insecurity indicator 21010 None None None None See short name for a shorter definition. Long definition of the food insecurity indicator Unit of measurement 21010 None None None None The unit of measurement as states applies to the value as appears in the data. Thus, when the unit of measurement is 1000 USD and the value of the Short-Term Caloric Needs Financing (Thousands) indicator is 100, the annual financing needs are 100,000 USD. The unit of measurement refers to the standardized attribute or quantity used to express and quantify the food insecurity data, ensuring consistency and comparability across observations. Year of the observation 21010 1999.0 2028.0 2015.7727272727273 9.214495852996928 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 Note that the food insecurity indicators follow a 3-year centered moving average. Thus, when the year is 2000, the value for any indicator reflects the average for the 1999-2001 period. The calendar year in which the data point occurred The food insecurity indicator value Some values are imputed using the different methods that are described. The flag, notes and estimated fields contain information about the imputation procedure and when it was carried out. 21010 0.1 246862060.0 1469668.4670371253 10530224.890393713 The approach to calculate Short-Term Caloric Needs Financing (Thousands) follows the original calculations by the IDA reference provides in the notes field and were based on a conservative estimate of safety net financing needs of the World Bank's FCV (Fragility, Conflict and Violence) operational portfolio. The prevalence rates are expressed as the 3-year average percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the Food Insecurity Experience Scale (FIES) questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Financing needs are calculated at the level required to meet the short-term replacement cost of 25 percent of daily caloric needs for the number of severely food insecure people. A field that flags actual data and estimated data 21010 None None None None Additional information about estimated data is provided in the note, estimated and type fields. Actual data reflect data taken from the WDI or FAOSTAT, estimates are non-actual data that are unofficial but best attempts at approximating the data as it would have appeared in official sources were it available. A field that describes the type of observation or estimate 21010 None None None None To provide comprehensive coverage, multiple estimation methods are used. See the note field and estimated field. For detailed information, see the background documentation provided with this dataset. The type of observation or estimate Additional notes about the observation or estimation 21010 None None None None Additional information about the estimation methods A field for each observation with the date at which the data was generated 21010 None None None None The estimation date for actual data is set two years ahead of the observation year. This discrepancy arises because official data is typically published with a one-year lag, and the data is presented as three-year centered moving averages. Despite updates to this data, the values should ideally remain consistent. However, it's worth noting that the Prevalence data is directly downloaded from FAOSTAT after release of the SOFI report, and our team has observed that figures appearing later in the World Development Indicators sometimes deviate from this data and backward corrections may have been applied, resulting in changes to the actuals in our dataset across different versions. Similarly, the population counts can be backward revised when the United Nations releases a backward revision of national population counts. For the most up-to-date official data, users should always refer to FAO as their primary source. Historical estimates are consistently updated in each version of this dataset, as the model used to produce these estimates undergoes retraining with new data. Additionally, data derived from IPC-compatible sources is also subject to updates, as the linear regression model used for this data is re-estimated whenever new data becomes available. The calendar year in which the data point was produced ISO code of the country 21010 None None None None ISO3C codes, also known as ISO 3166-1 alpha-3 codes, are three-letter country or territory codes that are part of the ISO 3166 international standard. These codes are used to uniquely represent and identify countries and dependent territories in a standardized manner. Each ISO3C code corresponds to a specific country or territory and is often used in various applications, such as international trade, banking, internet domain names, and statistical analysis, to simplify and standardize country and territory references. Name of the country 21010 None None None None Country names follow their appearance in the World Bank World Development Indicators Short name of the food insecurity indicator 21010 None None None None See long name for a more detailed definition Short definition of the food insecurity indicator Long name of the food insecurity indicator 21010 None None None None See short name for a shorter definition. Long definition of the food insecurity indicator Unit of measurement 21010 None None None None The unit of measurement as states applies to the value as appears in the data. Thus, when the unit of measurement is 1000 USD and the value of the Short-Term Caloric Needs Financing (Thousands) indicator is 100, the annual financing needs are 100,000 USD. The unit of measurement refers to the standardized attribute or quantity used to express and quantify the food insecurity data, ensuring consistency and comparability across observations. Year of the observation 21010 1999.0 2028.0 2015.7727272727273 9.214495852996928 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 Note that the food insecurity indicators follow a 3-year centered moving average. Thus, when the year is 2000, the value for any indicator reflects the average for the 1999-2001 period. The calendar year in which the data point occurred The food insecurity indicator value Some values are imputed using the different methods that are described. The flag, notes and estimated fields contain information about the imputation procedure and when it was carried out. 21010 0.1 262534637.0 1450704.3997558304 10436248.897741552 The approach to calculate Short-Term Caloric Needs Financing (Thousands) follows the original calculations by the IDA reference provides in the notes field and were based on a conservative estimate of safety net financing needs of the World Bank's FCV (Fragility, Conflict and Violence) operational portfolio. The prevalence rates are expressed as the 3-year average percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the Food Insecurity Experience Scale (FIES) questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Financing needs are calculated at the level required to meet the short-term replacement cost of 25 percent of daily caloric needs for the number of severely food insecure people. A field that flags actual data and estimated data 21010 None None None None Additional information about estimated data is provided in the note, estimated and type fields. Actual data reflect data taken from the WDI or FAOSTAT, estimates are non-actual data that are unofficial but best attempts at approximating the data as it would have appeared in official sources were it available. A field that describes the type of observation or estimate 21010 None None None None To provide comprehensive coverage, multiple estimation methods are used. See the note field and estimated field. For detailed information, see the background documentation provided with this dataset. The type of observation or estimate Additional notes about the observation or estimation 21010 None None None None Additional information about the estimation methods A field for each observation with the date at which the data was generated 21010 None None None None The estimation date for actual data is set two years ahead of the observation year. This discrepancy arises because official data is typically published with a one-year lag, and the data is presented as three-year centered moving averages. Despite updates to this data, the values should ideally remain consistent. However, it's worth noting that the Prevalence data is directly downloaded from FAOSTAT after release of the SOFI report, and our team has observed that figures appearing later in the World Development Indicators sometimes deviate from this data and backward corrections may have been applied, resulting in changes to the actuals in our dataset across different versions. Similarly, the population counts can be backward revised when the United Nations releases a backward revision of national population counts. For the most up-to-date official data, users should always refer to FAO as their primary source. Historical estimates are consistently updated in each version of this dataset, as the model used to produce these estimates undergoes retraining with new data. Additionally, data derived from IPC-compatible sources is also subject to updates, as the linear regression model used for this data is re-estimated whenever new data becomes available. The calendar year in which the data point was produced ISO code of the country 21583 None None None None ISO3C codes, also known as ISO 3166-1 alpha-3 codes, are three-letter country or territory codes that are part of the ISO 3166 international standard. These codes are used to uniquely represent and identify countries and dependent territories in a standardized manner. Each ISO3C code corresponds to a specific country or territory and is often used in various applications, such as international trade, banking, internet domain names, and statistical analysis, to simplify and standardize country and territory references. Name of the country 21583 None None None None Country names follow their appearance in the World Bank World Development Indicators Short name of the food insecurity indicator 21583 None None None None See long name for a more detailed definition Short definition of the food insecurity indicator Long name of the food insecurity indicator 21583 None None None None See short name for a shorter definition. Long definition of the food insecurity indicator Unit of measurement 21583 None None None None The unit of measurement as states applies to the value as appears in the data. Thus, when the unit of measurement is 1000 USD and the value of the Short-Term Caloric Needs Financing (Thousands) indicator is 100, the annual financing needs are 100,000 USD. The unit of measurement refers to the standardized attribute or quantity used to express and quantify the food insecurity data, ensuring consistency and comparability across observations. Year of the observation 21583 1999.0 2029.0 2016.3008849557523 9.529760274114645 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 Note that the food insecurity indicators follow a 3-year centered moving average. Thus, when the year is 2000, the value for any indicator reflects the average for the 1999-2001 period. The calendar year in which the data point occurred The food insecurity indicator value Some values are imputed using the different methods that are described. The flag, notes and estimated fields contain information about the imputation procedure and when it was carried out. 21583 0.1 261603352.0 1484811.1388648474 10779716.482201409 The approach to calculate Short-Term Caloric Needs Financing (Thousands) follows the original calculations by the IDA reference provides in the notes field and were based on a conservative estimate of safety net financing needs of the World Bank's FCV (Fragility, Conflict and Violence) operational portfolio. The prevalence rates are expressed as the 3-year average percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the Food Insecurity Experience Scale (FIES) questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Financing needs are calculated at the level required to meet the short-term replacement cost of 25 percent of daily caloric needs for the number of severely food insecure people. A field that flags actual data and estimated data 21583 None None None None Additional information about estimated data is provided in the note, estimated and type fields. Actual data reflect data taken from the WDI or FAOSTAT, estimates are non-actual data that are unofficial but best attempts at approximating the data as it would have appeared in official sources were it available. A field that describes the type of observation or estimate 21583 None None None None To provide comprehensive coverage, multiple estimation methods are used. See the note field and estimated field. For detailed information, see the background documentation provided with this dataset. The type of observation or estimate Additional notes about the observation or estimation 21583 None None None None Additional information about the estimation methods A field for each observation with the date at which the data was generated 21583 None None None None The estimation date for actual data is set two years ahead of the observation year. This discrepancy arises because official data is typically published with a one-year lag, and the data is presented as three-year centered moving averages. Despite updates to this data, the values should ideally remain consistent. However, it's worth noting that the Prevalence data is directly downloaded from FAOSTAT after release of the SOFI report, and our team has observed that figures appearing later in the World Development Indicators sometimes deviate from this data and backward corrections may have been applied, resulting in changes to the actuals in our dataset across different versions. Similarly, the population counts can be backward revised when the United Nations releases a backward revision of national population counts. For the most up-to-date official data, users should always refer to FAO as their primary source. Historical estimates are consistently updated in each version of this dataset, as the model used to produce these estimates undergoes retraining with new data. Additionally, data derived from IPC-compatible sources is also subject to updates, as the linear regression model used for this data is re-estimated whenever new data becomes available. The calendar year in which the data point was produced ISO code of the country 21583 None None None None ISO3C codes, also known as ISO 3166-1 alpha-3 codes, are three-letter country or territory codes that are part of the ISO 3166 international standard. These codes are used to uniquely represent and identify countries and dependent territories in a standardized manner. Each ISO3C code corresponds to a specific country or territory and is often used in various applications, such as international trade, banking, internet domain names, and statistical analysis, to simplify and standardize country and territory references. Name of the country 21583 None None None None Country names follow their appearance in the World Bank World Development Indicators Short name of the food insecurity indicator 21583 None None None None See long name for a more detailed definition Short definition of the food insecurity indicator Long name of the food insecurity indicator 21583 None None None None See short name for a shorter definition. Long definition of the food insecurity indicator Unit of measurement 21583 None None None None The unit of measurement as states applies to the value as appears in the data. Thus, when the unit of measurement is 1000 USD and the value of the Short-Term Caloric Needs Financing (Thousands) indicator is 100, the annual financing needs are 100,000 USD. The unit of measurement refers to the standardized attribute or quantity used to express and quantify the food insecurity data, ensuring consistency and comparability across observations. Year of the observation 21583 1999.0 2029.0 2016.3008849557523 9.529760274114645 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 Note that the food insecurity indicators follow a 3-year centered moving average. Thus, when the year is 2000, the value for any indicator reflects the average for the 1999-2001 period. The calendar year in which the data point occurred The food insecurity indicator value Some values are imputed using the different methods that are described. The flag, notes and estimated fields contain information about the imputation procedure and when it was carried out. 21583 0.1 243508545.0 1483842.7203678822 10584126.99566429 The approach to calculate Short-Term Caloric Needs Financing (Thousands) follows the original calculations by the IDA reference provides in the notes field and were based on a conservative estimate of safety net financing needs of the World Bank's FCV (Fragility, Conflict and Violence) operational portfolio. The prevalence rates are expressed as the 3-year average percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the Food Insecurity Experience Scale (FIES) questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources. Financing needs are calculated at the level required to meet the short-term replacement cost of 25 percent of daily caloric needs for the number of severely food insecure people. A field that flags actual data and estimated data 21583 None None None None Additional information about estimated data is provided in the note, estimated and type fields. Actual data reflect data taken from the WDI or FAOSTAT, estimates are non-actual data that are unofficial but best attempts at approximating the data as it would have appeared in official sources were it available. A field that describes the type of observation or estimate 21583 None None None None To provide comprehensive coverage, multiple estimation methods are used. See the note field and estimated field. For detailed information, see the background documentation provided with this dataset. The type of observation or estimate Additional notes about the observation or estimation 21583 None None None None Additional information about the estimation methods A field for each observation with the date at which the data was generated 21583 None None None None The estimation date for actual data is set two years ahead of the observation year. This discrepancy arises because official data is typically published with a one-year lag, and the data is presented as three-year centered moving averages. Despite updates to this data, the values should ideally remain consistent. However, it's worth noting that the Prevalence data is directly downloaded from FAOSTAT after release of the SOFI report, and our team has observed that figures appearing later in the World Development Indicators sometimes deviate from this data and backward corrections may have been applied, resulting in changes to the actuals in our dataset across different versions. Similarly, the population counts can be backward revised when the United Nations releases a backward revision of national population counts. For the most up-to-date official data, users should always refer to FAO as their primary source. Historical estimates are consistently updated in each version of this dataset, as the model used to produce these estimates undergoes retraining with new data. Additionally, data derived from IPC-compatible sources is also subject to updates, as the linear regression model used for this data is re-estimated whenever new data becomes available. The calendar year in which the data point was produced