/cerf-food-security

CERF Food Security Analysis

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CERF Food Security rankings

The goal of cerf-food-security is to help UN CERF rank food security crises. The analysis is simple, and contained solely within analysis.R, producing a single CSV output. The description of the CSV and analysis is below.

Methodology

Food security estimates rely on data on food insecurity from the IPC and CH in respective countries, and the use of INFORM severity and risk indices to provide a measure of potential upcoming risks alongside these food security estimates.

Food security

A few different aspects of food security in a country are estimated.

Scale: The scale of the crisis is estimated by looking at the number of people in phases 4 and 5 in the most recent analysis period, which is always a projection. The scale figure is generated by assigning a single point for every 100,000 persons in phase 4 and for every 10,000 in phase 5. Thus, 150,000 in phase 4 and 10,000 in phase 5 for a country would result in a score of 2.5.

Prevalence: To account for prevalence of food insecurity as relative to the population, not simply the raw scale, % of population in phases 4 and 5 in the latest projected period is used.

Protacted crises: The protracted nature of a crisis is accounted for by looking at the average % of population in phases 4 and 5 across all current analyses from 2019 to today, as well as in the latest projected analysis.

Acute crises: Acute crises are measured by looking at the # of population in phase 5 in the latest projected analysis compared to the last current analysis in 2021.

The latest projected analysis period is used above because it corresponds to the most recent time period for all countries, although these do not overlap across countries due to different schedules for IPC analyses. The previous period from 2021 is used to estimate change from today. To get this, either the most recent current analysis from 2021 and earlier is used, or if there is no analysis from 2021 or before, the earliest analysis is used.

INFORM

INFORM has its own methodology for analysis, and produces a severity index measuring current crisis severity across a range of countries, a risk index that measures the risk of humanitarian crisis globally, and a new climate change index that measures the risk climate change poses to countries. All 3 of these indices are used in the ranking together with the food security figures.

Combined score

The 4 food security indicators and 3 INFORM indices above are used together to create a combined score. All of the indicators are first normalized to a 0-100 scale based on the observed min and max (with 0s assigned to country's missing INFORM scores). These normalized indicators are then combinated using a weighted average with the following weights:

Indicator Weight
Food security $\bf{85}\%$
Scale $45\%$
Prevalence $15\%$
Protected crises $15\%$
Acute crises $10\%$
INFORM $\bf{15}\%$
Climate Change $5\%$
Severity $5\%$
Risk $5\%$

CSV structure

Column name Description
country Country name
iso3 Country ISO3 code
latest_date Start date of the latest analysis period (CH reference period); note it is always a projection
phase4_num_latest # of population in phase 4 in this latest projection analysis
phase4_pct_latest % of population in phase 4 in this latest projection analysis
phase5_num_latest # of population in phase 5 in this latest projection analysis
phase5_pct_latest % of population in phase 5 in this latest projection analysis
previous_date Start date of the last current analysis in 2021 (or later if no analysis prior to 2021)
phase5_num_previous # of population in phase 5 in this previous current analysis
avg_phase4_pct Average % of population in phases 4 and 5, for all analyses from 2019 to today and the latest projections
phase4pl_scale Scale & severity of food insecurity, measured by adding a point for every 100,000 population in phase 4 and 10,000 in phase 5 in the latest (projected) analysis
phase4pl_prev Prevalence of food insecurity measured as % of population in phases 4 and 5 in the latest (projected) analysis
phase5_incr Increase in # of population in phase 5 between latest (projected) analysis and 2021 (or around there) current analysis
inform_cc Latest INFORM Climate Change index score
inform_risk Latest INFORM Risk index score
inform_severity Latest INFORM Severity index score
avg_phase4_pct_norm Variable above normalized to 0 - 100 based on observations
phase4pl_scale_norm Variable above normalized to 0 - 100 based on observations
phase4pl_prev_norm Variable above normalized to 0 - 100 based on observations
phase5_incr_norm Variable above normalized to 0 - 100 based on observations
inform_cc_norm Variable above normalized to 0 - 100 based on observations
inform_risk_norm Variable above normalized to 0 - 100 based on observations
inform_severity_norm Variable above normalized to 0 - 100 based on observations
cerf_score Score calculated as described in the methods section above
cerf_rank Country ranking based on this score (1 being most severe)