HungerMapLIVE: Democratic Republic of the Congo insight and key trends By the World Food Programme (WFP) | 1 August 2021
FOOD INSECURITY AT A GLANCE
18.5M M 26.2M Chronic hunger 105.9 Acute hunger Population (undernourishment) (WFP D.R. Congo, 2021) IPC Phase 3+ (SOFI Report, 2021)1 (IPC, Aug 2021 - Dec 2021)2
The HungerMapLIVE tracks core indicators of acute hunger in near real-time.
Acute hunger is measured by key indicators such as household food consumption, livelihood behaviors, child nutritional status, mortality, access to clean drinking water and other contextual factors. The HungerMapLIVE primarily tracks trends on household food consumption, consumption-based coping and livelihood changes to track multiple aspects of food insecurity. As these are outcome level 1 indicators in the Integrated Food Security Phase Classifcation (IPC) Framework, they can provide early indications of potential shifts in acute food insecurity.
Insufcient food consumption (HungerMapLIVE data)3 36.9M → 42.3M As of 3 May 2021 As of 1 August 2021
Crisis or above crisis level food-based coping strategies (HungerMapLIVE data)3 52.6M → 49.1M As of 3 May 2021 As of 1 August 2021
Methodology Note: The HungerMapLIVE includes data from two sources: (1) WFP’s continuous, near real-time monitoring systems, which remotely collect thousands of data daily through live calls conducted by call centres around the world; and (2) machine learning-based predictive models. Therefore, to note this diferentiation, this report indicates whether a region’s data is based on WFP’s near real-time monitoring systems (marked ‘ACTUAL’) or predictive models (marked ‘PREDICTED’).
1 Chronic hunger (undernourishment) is defned by people not able to meet long-term food consumption requirements. Source: FAO, IFAD, UNICEF, WFP and WHO. 2021. The State of Food Security and Nutrition in the World 2021. 2 Source: IPC/CH analysis (ipcinfo.org) 3 Source: WFP HungerMap LIVE analysis, updated daily. Current food security outlook There are 17 regions considered High Risk or Moderate Risk and Deteriorating in Democratic Republic of the Congo
Nord-Ubangi Bas-Uele Haut-Uele Sud-Ubangi Mongala
Ituri
Tshopo Equateur
Tshuapa Nord-Kivu
Maï-Ndombe
Kinshasa Kwilu Kongo-Central Lomami Kasaï Kasaï-Oriental Tanganyika Kasaï-Central Kwango
Haut-Lomami
Haut-Katanga Lualaba
The HungerMapLIVE divides regions into various tiers of risk based on: the prevalence of insufcient food consumption and the prevalence of households utilizing crisis or above crisis level food-based coping strategies, as well as the change in these prevalences from 90 days ago (3 May 2021) until now (1 August 2021). Regions are divided into these tiers based on the following criteria:
Tier 1: High Risk and Deteriorating. Regions with Tier 2: High Risk and Stable. Regions with more than Tier 3: Moderate Risk and Deteriorating. Regions Tier 4: Moderate Risk and Stable. Regions with less more than 40% prevalence for the average of the 40% prevalence for the average of the above two with less than 40% prevalence for the average of than 40% prevalence for the average of the above above two indicators AND signifcant deterioration indicators AND no signifcant deterioration the above two indicators AND signifcant two indicators AND no signifcant deterioration observed for the average of both indicators from 90 observed for the average of both indicators from 90 deterioration observed for the average of both observed for the average of both indicators from 90 days ago. days ago. indicators from 90 days ago. days ago.
Regions marked for deterioration for these metrics must satisfy one of the following conditions: (1) >40% prevalence: 15% increase, (2) 20-40% prevalence: 20% increase, (3) <20% prevalence: 25% increase. HungerMapLIVE: Democratic Republic of the Congo insight and key trends 1 August 2021
Regions with the highest prevalence of insufcient food consumption
Currently, the regions with the highest prevalence of insufcient food consumption, in order of severity, are: Kasaï-Central* ACTUAL, Kasaï* ACTUAL, Maniema* ACTUAL, Kasaï-Oriental* ACTUAL, Lomami* ACTUAL, Sankuru* ACTUAL, Sud-Kivu* ACTUAL, Equateur* ACTUAL, Mongala* ACTUAL, Sud- Ubangi* ACTUAL, Tshuapa* ACTUAL, Nord-Ubangi* ACTUAL.
These regions account for 52% of the total number of people with insufcient food consumption in Democratic Republic of the Congo—amounting to approximately 22.1M people, increasing by 4.70M (27%) compared to 90 days ago.
PREVALENCE OF INSUFFICIENT FOOD CONSUMPTION TOTAL NO. (HIGH → LOW) POPULATION AFFECTED
Kasaï- 66% 4.94M 3.27M Central* ACTUAL Kasaï* ACTUAL 66% 3.94M 2.61M
Maniema* ACTUAL 64% 2.72M 1.74M
Kasaï- 51% 5.60M 2.84M Oriental* ACTUAL Lomami* ACTUAL 51% 4.13M 2.10M
Sankuru* ACTUAL 51% 2.12M 1.08M
Sud-Kivu* ACTUAL 48% 7.34M 3.49M
Equateur* ACTUAL 42% 2.52M 1.05M
Mongala* ACTUAL 42% 2.60M 1.09M
Sud- 42% 2.96M 1.24M Ubangi* ACTUAL Tshuapa* ACTUAL 42% 2.18M 913k
Nord- 42% 1.63M 681k Ubangi* ACTUAL
Trends of the prevalence of insufcient food consumption over the past 90 days These graphs, all on a scale from 0% to 100%, show the trend in the prevalence of insufcient food consumption over the past 90 days. The percentages detailed below the region name indicate the change in the prevalence of insufcient food consumption from 90 days ago to today, with regions sorted by the increase in prevalence of insufcient food consumption.
Maniema* ACTUAL Tshuapa* ACTUAL Equateur* ACTUAL Sud-Ubangi* ACTUAL Mongala* ACTUAL Nord-Ubangi* ACTUAL 31% → 64% 28% → 42% 28% → 42% 28% → 42% 28% → 42% 28% → 42%
Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul
Kinshasa* ACTUAL Lomami* ACTUAL Kasaï- Sankuru* ACTUAL Kasaï- Kasaï* ACTUAL 20% → 27% 40% → 51% Oriental* ACTUAL 40% → 51% Central* ACTUAL 57% → 66% 40% → 51% 57% → 66%
Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul
*Admin 1 areas have been grouped into regions for analysis, therefore share the same trend. See methodology note for more details. HungerMapLIVE: Democratic Republic of the Congo insight and key trends 1 August 2021
Regions with the highest prevalence of crisis or above crisis level food-based coping strategies
To support the global COVID‑19 response, WFP has expanded its near real-time remote monitoring systems to assess the food-based coping situation in Democratic Republic of the Congo. The table below shows the current situation in regions with the highest prevalence of crisis or above crisis level food-based coping strategies. These regions account for 48% of the total number of people currently monitored for food-based coping in Democratic Republic of the Congo—amounting to approximately 23.7M people.
PREVALENCE OF CRISIS OR ABOVE CRISIS LEVEL FOOD-BASED TOTAL NO. COPING STRATEGIES (HIGH → LOW) POPULATION AFFECTED
Kasaï- 64% 4.94M 3.14M Central* ACTUAL Kasaï* ACTUAL 64% 3.94M 2.51M
Sud-Kivu* ACTUAL 60% 7.34M 4.43M
Maniema* ACTUAL 54% 2.72M 1.47M
Sankuru* ACTUAL 51% 2.12M 1.09M
Lomami* ACTUAL 51% 4.13M 2.12M
Kasaï- 51% 5.60M 2.88M Oriental* ACTUAL Equateur* ACTUAL 51% 2.52M 1.29M
Mongala* ACTUAL 51% 2.60M 1.32M
Nord- 51% 1.63M 831k Ubangi* ACTUAL Tshuapa* ACTUAL 51% 2.18M 1.11M
Sud- 51% 2.96M 1.51M Ubangi* ACTUAL
Trends of the prevalence of crisis or above crisis level food-based coping strategies over the past 90 days These graphs, all on a scale from 0% to 100%, show the trend in the prevalence of crisis or above crisis level food-based coping strategies over the past 90 days. The percentages detailed below the region name indicate the change in the prevalence of crisis or above crisis level food-based coping strategies from 90 days ago to today, with regions sorted by the increase in prevalence of crisis or above crisis level food-based coping strategies.
Sud-Kivu* ACTUAL Tanganyika* ACTUAL Lualaba* ACTUAL Haut- Haut- Nord-Kivu* ACTUAL 56% → 60% 45% → 47% 45% → 47% Katanga* ACTUAL Lomami* ACTUAL 51% → 51% 45% → 47% 45% → 47%
Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul
Sankuru* ACTUAL Lomami* ACTUAL Kasaï- Nord-Ubangi* ACTUAL Equateur* ACTUAL Mongala* ACTUAL 52% → 51% 52% → 51% Oriental* ACTUAL 54% → 51% 54% → 51% 54% → 51% 52% → 51%
Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul
*Admin 1 areas have been grouped into regions for analysis, therefore share the same trend. See methodology note for more details. HungerMapLIVE: Democratic Republic of the Congo insight and key trends 1 August 2021
Regions with the highest prevalence of challenges accessing markets1
To support the global COVID‑19 response, WFP has expanded its near real-time remote monitoring systems to assess the market access situation in Democratic Republic of the Congo. The table below shows the current situation in regions with the highest prevalence of challenges accessing markets. These regions account for 63% of the total number of people currently monitored for market access in Democratic Republic of the Congo—amounting to approximately 33.1M people.
PREVALENCE OF CHALLENGES ACCESSING MARKETS TOTAL NO. (HIGH → LOW) POPULATION AFFECTED
Nord-Kivu* ACTUAL 65% 10.7M 6.94M
Maniema* ACTUAL 64% 2.72M 1.76M
Sud-Kivu* ACTUAL 63% 7.34M 4.66M
Kasaï* ACTUAL 59% 3.94M 2.31M
Kasaï- 59% 4.94M 2.90M Central* ACTUAL Haut- 52% 6.34M 3.29M Katanga* ACTUAL Haut- 52% 4.23M 2.19M Lomami* ACTUAL Tanganyika* ACTUAL 52% 3.28M 1.70M
Lualaba* ACTUAL 52% 2.44M 1.26M
Lomami* ACTUAL 52% 4.13M 2.13M
Kasaï- 52% 5.60M 2.89M Oriental* ACTUAL Sankuru* ACTUAL 52% 2.12M 1.09M
Trends of the prevalence of challenges accessing markets over the past 90 days These graphs, all on a scale from 0% to 100%, show the trend in the prevalence of challenges accessing markets over the past 90 days. The percentages detailed below the region name indicate the change in the prevalence of challenges accessing markets from 90 days ago to today, with regions sorted by the increase in prevalence of challenges accessing markets.
Equateur* ACTUAL Sud-Ubangi* ACTUAL Mongala* ACTUAL Nord-Ubangi* ACTUAL Tshuapa* ACTUAL Nord-Kivu* ACTUAL 41% → 46% 41% → 46% 41% → 46% 41% → 46% 41% → 46% 59% → 65%
Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul
Maï- Kwilu* ACTUAL Kwango* ACTUAL Lualaba* ACTUAL Haut- Tanganyika* ACTUAL Ndombe* ACTUAL 36% → 39% 36% → 39% 50% → 52% Lomami* ACTUAL 50% → 52% 36% → 39% 50% → 52%
Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul Apr Jul
1 Challenges include both physical and fnancial constraints. *Admin 1 areas have been grouped into regions for analysis, therefore share the same trend. See methodology note for more details. Annex: Summary of food security and related metrics in Democratic Republic of the Congo, 1 August 2021
TOTAL POPULATION OF PEOPLE WITH INSUFFICIENT FOOD PEOPLE USING CRISIS OR ABOVE CRISIS LEVEL PEOPLE REPORTING CHALLENGES REFERENCE (MILLIONS) CONSUMPTION (MILLIONS) FOOD-BASED COPING STRATEGIES (MILLIONS) ACCESSING MARKETS (MILLIONS) Bas-Uele ACTUAL 1.29 0.54 0.57 0.66 Equateur ACTUAL 2.52 1.05 1.29 1.16 Haut- 6.34 1.60 2.98 3.29 Katanga ACTUAL Haut- 4.23 1.07 1.99 2.19 Lomami ACTUAL Haut-Uele ACTUAL 1.87 0.77 0.82 0.95 Ituri ACTUAL 5.75 2.38 2.52 2.92 Kasaï ACTUAL 3.94 2.61 2.51 2.31 Kasaï- 4.94 3.27 3.14 2.90 Central ACTUAL Kasaï- 5.60 2.84 2.88 2.89 Oriental ACTUAL Kinshasa ACTUAL 10.39 2.82 2.49 3.32 Kongo- 4.16 1.32 1.07 1.09 Central ACTUAL Kwango ACTUAL 2.58 0.84 0.92 1.00 Kwilu ACTUAL 5.17 1.69 1.83 2.01 Lomami ACTUAL 4.13 2.10 2.12 2.13 Lualaba ACTUAL 2.44 0.62 1.14 1.26 Maï- 1.98 0.65 0.70 0.77 Ndombe ACTUAL Maniema ACTUAL 2.72 1.74 1.47 1.76 Mongala ACTUAL 2.60 1.09 1.32 1.19 Nord-Kivu ACTUAL 10.69 3.79 5.45 6.94 Nord- 1.63 0.68 0.83 0.75 Ubangi ACTUAL Sankuru ACTUAL 2.12 1.08 1.09 1.09 Sud-Kivu ACTUAL 7.34 3.49 4.43 4.66 Sud- 2.96 1.24 1.51 1.36 Ubangi ACTUAL Tanganyika ACTUAL 3.28 0.83 1.54 1.70 Tshopo ACTUAL 3.07 1.27 1.34 1.56 Tshuapa ACTUAL 2.18 0.91 1.11 1.00 Methodology: Administrative level 1 analysis in Democratic Republic of the Congo
Results have been computed grouping administrative level 1 (ADM1) areas into strata (or regions), as specifed in the table below. All ADM1 belonging to the same region will contain the same prevalence of households with insufcient food consumption or utilizing crisis or above crisis level food-based coping strategies.
To compute the number of people with insufcient food consumption or utilizing crisis or above crisis level food-based coping for a specifc ADM1, the ADM1 population is multiplied by the regional prevalence.
Relationship between administrative level 1 and analysis strata
ADMIN 1 ANALYSIS STRATA
Kwango Bandundu Kwilu Bandundu Maï-Ndombe Bandundu Kongo-Central Bas-Congo Equateur Equateur Mongala Equateur Nord-Ubangi Equateur Sud-Ubangi Equateur Tshuapa Equateur Kasaï Kasaï-Occidental Kasaï-Central Kasaï-Occidental Kasaï-Oriental Kasaï-Oriental Lomami Kasaï-Oriental Sankuru Kasaï-Oriental Haut-Katanga Katanga Haut-Lomami Katanga Lualaba Katanga Tanganyika Katanga Kinshasa Kinshasa Maniema Maniema Nord-Kivu Nord-Kivu Bas-Uele Orientale Haut-Uele Orientale Ituri Orientale Tshopo Orientale Sud-Kivu Sud-Kivu