COUNTRY / REGION
TYPE OF ANALYSIS
KEY RESULTS
VALIDITY PERIOD

Chronic Food Insecurity Classification

This report presents the main conclusions of the 2nd round of the IPC Chronic Food Insecurity analysis, which covered 10 districts. The 1st round of IPC Chronic Food Insecurity analysis was conducted in November 2014 and covered 18 districts located in the Northern and Southern parts of Bangladesh. [...]

Dec 2015 / Dec 2020

Chronic Food Insecurity Classification

According to the IPC chronic food insecurity analysis conducted in October 2015*, about 70% the population is chronically food insecure, among them, 43% is facing moderate and severe chronic food insecurity (IPC level 3 or 4).  All analysed areas were classified into moderate chronic food insecuri [...]

Oct 2015 / Oct 2020

Chronic Food Insecurity Classification

More than half of households in El Salvador are with some degree of chronic food insecurity (Levels 2, 3 or 4 of the IPC scale). 20% of households are in Levels 3 (15%) or 4 (5%). That is to say that their food consumption has energy deficits for at least 2 months per year and their dietary en [...]

Jul 2015 / Jul 2020

Chronic Food Insecurity Classification

According to the IPC Chronic Food Insecurity Analysis concluded in February 2015, the country is majorly classified as level 3-moderate Chronic Food Insecurity (CFI) with the exception of Karamoja and the Central region which were classified as level 4 (Severe CFI) and level 2 (mild CFI) respectivel [...]

Feb 2015 / Feb 2020

Chronic Food Insecurity Classification

Around 64% of the population nationwide which accounts for 54.9 million Filipinos are chronically food insecure (IPC-Chronic level 2 and above). Specifically, this represents 39% mild, 17% moderate and 8% severe chronic food insecure population. Population of moderately and severely food insec [...]

Jan 2015 / Jan 2020

Chronic Food Insecurity Classification

The Chronic Food Insecurity of Nepal is analyzed for 13 sub regions in December, 2014. As Nepal has 15 sub-regions, unavailability of sufficient data for all 15 sub-regions and similarity in socio-economic and geographical conditions of three sub-regions made possible to combine three sub regions ( [...]

Dec 2014 / Dec 2019

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