Democratic Republic of the Congo Insight and Key Trends by the World Food Programme (WFP) | 31 August 2021

Total Page:16

File Type:pdf, Size:1020Kb

Democratic Republic of the Congo Insight and Key Trends by the World Food Programme (WFP) | 31 August 2021 HungerMapLIVE: Democratic Republic of the Congo insight and key trends By the World Food Programme (WFP) | 31 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 Classication (IPC) Framework, they can provide early indications of potential shifts in acute food insecurity. Insucient food consumption (HungerMapLIVE data)3 40.9M → 42.2M As of 2 June 2021 As of 31 August 2021 Crisis or above crisis level food-based coping strategies (HungerMapLIVE data)3 53.5M → 45.9M As of 2 June 2021 As of 31 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 dierentiation, 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 dened 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 13 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 Market Sud-Kivu (≥ 40% prevalence Sankuru access challenges) Maniema Vegetation Kinshasa (< 80% vegetation Kwilu anomaly) 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 insucient 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 (2 June 2021) until now (31 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 signicant deterioration indicators AND no signicant deterioration the above two indicators AND signicant two indicators AND no signicant 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 31 August 2021 Regions with the highest prevalence of insucient food consumption Currently, the regions with the highest prevalence of insucient food consumption, in order of severity, are: Kasaï-Central* ACTUAL, Kasaï* ACTUAL, Maniema* ACTUAL, Sankuru* ACTUAL, Kasaï- Oriental* ACTUAL, Lomami* ACTUAL, Sud-Kivu* ACTUAL, Ituri* ACTUAL, Tshopo* ACTUAL, Bas-Uele* ACTUAL, Haut-Uele* ACTUAL, Nord-Kivu* ACTUAL. These regions account for 61% of the total number of people with insucient food consumption in Democratic Republic of the Congo—amounting to approximately 25.8M people, increasing by 758k (3.0%) compared to 90 days ago. PREVALENCE OF INSUFFICIENT FOOD CONSUMPTION TOTAL NO. (HIGH → LOW) POPULATION AFFECTED Kasaï- 68% 4.94M 3.38M Central* ACTUAL Kasaï* ACTUAL 68% 3.94M 2.69M Maniema* ACTUAL 54% 2.72M 1.46M Sankuru* ACTUAL 53% 2.12M 1.12M Kasaï- 53% 5.60M 2.96M Oriental* ACTUAL Lomami* ACTUAL 53% 4.13M 2.18M Sud-Kivu* ACTUAL 47% 7.34M 3.47M Ituri* ACTUAL 38% 5.75M 2.21M Tshopo* ACTUAL 38% 3.07M 1.18M Bas-Uele* ACTUAL 38% 1.29M 498k Haut-Uele* ACTUAL 38% 1.87M 720k Nord-Kivu* ACTUAL 37% 10.7M 3.92M Trends of the prevalence of insucient food consumption over the past 90 days These graphs, all on a scale from 0% to 100%, show the trend in the prevalence of insucient food consumption over the past 90 days. The percentages detailed below the region name indicate the change in the prevalence of insucient food consumption from 90 days ago to today, with regions sorted by the increase in prevalence of insucient food consumption. Maniema* ACTUAL Kinshasa* ACTUAL Lualaba* ACTUAL Haut- Haut- Tanganyika* ACTUAL 41% → 54% 24% → 29% 25% → 28% Katanga* ACTUAL Lomami* ACTUAL 25% → 28% 25% → 28% 25% → 28% May Aug May Aug May Aug May Aug May Aug May Aug Sankuru* ACTUAL Lomami* ACTUAL Kasaï- Nord-Kivu* ACTUAL Kasaï- Kasaï* ACTUAL 48% → 53% 48% → 53% Oriental* ACTUAL 34% → 37% Central* ACTUAL 67% → 68% 48% → 53% 67% → 68% May Aug May Aug May Aug May Aug May Aug May Aug *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 31 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 22.1M people. PREVALENCE OF CRISIS OR ABOVE CRISIS LEVEL FOOD-BASED TOTAL NO. COPING STRATEGIES (HIGH → LOW) POPULATION AFFECTED Kasaï- 57% 4.94M 2.81M Central* ACTUAL Kasaï* ACTUAL 57% 3.94M 2.24M Sud-Kivu* ACTUAL 52% 7.34M 3.84M Kasaï- 51% 5.60M 2.87M Oriental* ACTUAL Lomami* ACTUAL 51% 4.13M 2.12M Sankuru* ACTUAL 51% 2.12M 1.09M Maniema* ACTUAL 50% 2.72M 1.37M Sud- 49% 2.96M 1.45M Ubangi* ACTUAL Tshuapa* ACTUAL 49% 2.18M 1.07M Mongala* ACTUAL 49% 2.60M 1.27M Equateur* ACTUAL 49% 2.52M 1.24M Nord- 49% 1.63M 798k 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. Maï- Kwango* ACTUAL Kwilu* ACTUAL Lomami* ACTUAL Sankuru* ACTUAL Kasaï- Ndombe* ACTUAL 37% → 39% 37% → 39% 53% → 51% 53% → 51% Oriental* ACTUAL 37% → 39% 53% → 51% May Aug May Aug May Aug May Aug May Aug May Aug Nord-Kivu* ACTUAL Mongala* ACTUAL Sud-Ubangi* ACTUAL Tshuapa* ACTUAL Nord-Ubangi* ACTUAL Equateur* ACTUAL 48% → 44% 54% → 49% 54% → 49% 54% → 49% 54% → 49% 54% → 49% May Aug May Aug May Aug May Aug May Aug May Aug *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 31 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 33.5M people. PREVALENCE OF CHALLENGES ACCESSING MARKETS TOTAL NO. (HIGH → LOW) POPULATION AFFECTED Sud-Kivu* ACTUAL 79% 7.34M 5.76M Maniema* ACTUAL 71% 2.72M 1.94M Nord-Kivu* ACTUAL 61% 10.7M 6.53M Kasaï- 60% 4.94M 2.97M Central* ACTUAL Kasaï* ACTUAL 60% 3.94M 2.37M Haut- 50% 4.23M 2.13M Lomami* ACTUAL Haut- 50% 6.34M 3.19M Katanga* ACTUAL Tanganyika* ACTUAL 50% 3.28M 1.65M Lualaba* ACTUAL 50% 2.44M 1.23M Kasaï- 48% 5.60M 2.70M Oriental* ACTUAL Sankuru* ACTUAL 48% 2.12M 1.02M Lomami* ACTUAL 48% 4.13M 1.99M 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.
Recommended publications
  • Of the United Nations Mission in the DRC / MONUC – MONUSCO
    Assessing the of the United Nations Mission in the DRC / MONUC – MONUSCO REPORT 3/2019 Publisher: Norwegian Institute of International Affairs Copyright: © Norwegian Institute of International Affairs 2019 ISBN: 978-82-7002-346-2 Any views expressed in this publication are those of the author. Tey should not be interpreted as reflecting the views of the Norwegian Institute of International Affairs. Te text may not be re-published in part or in full without the permission of NUPI and the authors. Visiting address: C.J. Hambros plass 2d Address: P.O. Box 8159 Dep. NO-0033 Oslo, Norway Internet: effectivepeaceops.net | www.nupi.no E-mail: [email protected] Fax: [+ 47] 22 99 40 50 Tel: [+ 47] 22 99 40 00 Assessing the Efectiveness of the UN Missions in the DRC (MONUC-MONUSCO) Lead Author Dr Alexandra Novosseloff, International Peace Institute (IPI), New York and Norwegian Institute of International Affairs (NUPI), Oslo Co-authors Dr Adriana Erthal Abdenur, Igarapé Institute, Rio de Janeiro, Brazil Prof. Tomas Mandrup, Stellenbosch University, South Africa, and Royal Danish Defence College, Copenhagen Aaron Pangburn, Social Science Research Council (SSRC), New York Data Contributors Ryan Rappa and Paul von Chamier, Center on International Cooperation (CIC), New York University, New York EPON Series Editor Dr Cedric de Coning, NUPI External Reference Group Dr Tatiana Carayannis, SSRC, New York Lisa Sharland, Australian Strategic Policy Institute, Canberra Dr Charles Hunt, Royal Melbourne Institute of Technology (RMIT) University, Australia Adam Day, Centre for Policy Research, UN University, New York Cover photo: UN Photo/Sylvain Liechti UN Photo/ Abel Kavanagh Contents Acknowledgements 5 Acronyms 7 Executive Summary 13 Te effectiveness of the UN Missions in the DRC across eight critical dimensions 14 Strategic and Operational Impact of the UN Missions in the DRC 18 Constraints and Challenges of the UN Missions in the DRC 18 Current Dilemmas 19 Introduction 21 Section 1.
    [Show full text]
  • ACTIVE USG PROGRAMS for the DEMOCRATIC REPUBLIC of the CONGO RESPONSE Last Updated 07/27/20
    ACTIVE USG PROGRAMS FOR THE DEMOCRATIC REPUBLIC OF THE CONGO RESPONSE Last Updated 07/27/20 BAS-UELE HAUT-UELE ITURI S O U T H S U D A N COUNTRYWIDE NORTH KIVU OCHA IMA World Health Samaritan’s Purse AIRD Internews CARE C.A.R. Samaritan’s Purse Samaritan’s Purse IMA World Health IOM UNHAS CAMEROON DCA ACTED WFP INSO Medair FHI 360 UNICEF Samaritan’s Purse Mercy Corps IMA World Health NRC NORD-UBANGI IMC UNICEF Gbadolite Oxfam ACTED INSO NORD-UBANGI Samaritan’s WFP WFP Gemena BAS-UELE Internews HAUT-UELE Purse ICRC Buta SCF IOM SUD-UBANGI SUD-UBANGI UNHAS MONGALA Isiro Tearfund IRC WFP Lisala ACF Medair UNHCR MONGALA ITURI U Bunia Mercy Corps Mercy Corps IMA World Health G A EQUATEUR Samaritan’s NRC EQUATEUR Kisangani N Purse WFP D WFPaa Oxfam Boende A REPUBLIC OF Mbandaka TSHOPO Samaritan’s ATLANTIC NORTH GABON THE CONGO TSHUAPA Purse TSHOPO KIVU Lake OCEAN Tearfund IMA World Health Goma Victoria Inongo WHH Samaritan’s Purse RWANDA Mercy Corps BURUNDI Samaritan’s Purse MAI-NDOMBE Kindu Bukavu Samaritan’s Purse PROGRAM KEY KINSHASA SOUTH MANIEMA SANKURU MANIEMA KIVU WFP USAID/BHA Non-Food Assistance* WFP ACTED USAID/BHA Food Assistance** SA ! A IMA World Health TA N Z A N I A Kinshasa SH State/PRM KIN KASAÏ Lusambo KWILU Oxfam Kenge TANGANYIKA Agriculture and Food Security KONGO CENTRAL Kananga ACTED CRS Cash Transfers For Food Matadi LOMAMI Kalemie KASAÏ- Kabinda WFP Concern Economic Recovery and Market Tshikapa ORIENTAL Systems KWANGO Mbuji T IMA World Health KWANGO Mayi TANGANYIKA a KASAÏ- n Food Vouchers g WFP a n IMC CENTRAL y i k
    [Show full text]
  • History, Archaeology and Memory of the Swahili-Arab in the Maniema
    Antiquity 2020 Vol. 94 (375): e18, 1–7 https://doi.org/10.15184/aqy.2020.86 Project Gallery History, archaeology and memory of the Swahili-Arab in the Maniema, Democratic Republic of Congo Noemie Arazi1,*, Suzanne Bigohe2, Olivier Mulumbwa Luna3, Clément Mambu4, Igor Matonda2, Georges Senga5 & Alexandre Livingstone Smith6 1 Groundworks and Université Libre de Bruxelles, Brussels, Belgium 2 Université de Kinshasa, Kinshasa, DRC 3 Université de Lubumbashi, Lubumbashi, DRC 4 Institut des Musées Nationaux de Congo, Kinshasa, DRC 5 Picha Association, Lubumbashi, DRC 6 Royal Museum of Central Africa, Tervuren, Belgium * Author for correspondence: ✉ [email protected] A research project focused on the cultural heritage of the Swahili-Arab in the Democratic Republic of Congo has confirmed the location of their former settlement in Kasongo, one of the westernmost trading entrepôts in a network of settlements connecting Central Africa with Zanzibar. This project represents the first time arch- aeological investigations, combined with oral history and archival data, have been used to understand the Swa- hili-Arab legacy in the DRC. Keywords: DRC, Kasongo, nineteenth century, Swahili-Arab, oral history, colonialism Introduction During the nineteenth century, merchants from the coastal Swahili city-states developed a vast commercial network across Eastern Central Africa. These merchants, generally referred to as Swahili-Arab, were mainly trading in slaves and ivory destined for the Sultanate of Zan- zibar as well as the Indian Ocean trade ports (Vernet 2009). The network consisted of caravan tracks connecting Central Africa with the East African coast, and included a series of strong- holds, settlements and markets. As a result of this network, the populations of Eastern Cen- tral Africa adopted the customs of the coast such as the Swahili language, coastal dress and the practice of Islam, as well as new agricultural crops and farming techniques.
    [Show full text]
  • The Kampene Gold Pilot, Maniema, DR Congo – Fact Sheet
    The Kampene Gold Pilot, Maniema, DR Congo – Fact Sheet Background Artisanal and small-scale (ASM) gold mining signifi cantly contributes to the livelihood of more than 200,000 miners and their families in the Eastern Provinces of the Democratic Republic of the Congo (DRC). ASM activities are mostly informal and supply chains are not traceable. As a result, most ASM gold is smuggled out of the country. The Kampene Gold Pilot is an on-going initiative contributing to fi nding solutions for legal ASM gold supply chains in the DRC. It forms part of a German-Congolese technical cooperation project: Since 2009, the Fe- deral Institute for Geosciences and Natural Resources (BGR) has been supporting the Congolese Ministry of Mines, its technical services and mining cooperatives in improving working conditions, environmental and social standards in the ASM sector, including gold. The pilot initiative is focusing on ASM production sites around Kampene town, Maniema province. This province has signifi cantly lower confl ict risks compared to other DRC provinces. The area of Kampene is home to >10,000 ASM gold miners, organized in 9 cooperatives and operating 32 gold mine sites. The pilot initiative aims to incentivize legal and traceable gold supply chains including use of novel tracking technology. Electronic Gold Traceability • Traceability is facilitated through GPS-backed electronic registration of individual gold supply chain partici- pants and gold transactions, with automatic transmission to an online database. • The initiative integrates traceability along existing national gold supply chains from Kampene to Kindu and Bukavu, rather than creating an artificial “closed pipe”. • Tracking and tracing of ASM gold flexibly involves miners, traders, and state authorities who monitor tran- sactions.
    [Show full text]
  • DRC Complex Emergency Fact Sheet #5 09.30.2020
    Fact Sheet #5 Fiscal Year (FY) 2020 Democratic Republic of the Congo – Complex Emergency September 30, 2020 SITUATION AT A GLANCE 25.6 21.8 5.5 922,000 529,000 MILLION MILLION MILLION Estimated Population Estimated Acutely Estimated Number Estimated Number of Estimated Number of in Need of Assistance Congolese Refugees Refugees Sheltering in Food Insecure of IDPs in the DRC Population Sheltering Abroad the DRC OCHA – June 2020 UNHCR – July 2020 UNHCR – July 2020 IPC – September 2020 OCHA – December 2019 Approximately 21.8 million people in the DRC will likely require emergency food assistance through December due to conflict, the impact of COVID-19 mitigation measures on livelihoods, worsening macroeconomic conditions, and flooding, according to a September IPC analysis. Conflict and insecurity continue to drive widespread population displacement and increase humanitarian needs in some areas of the DRC, particularly in Ituri and North Kivu provinces. Non-state armed groups carried out two separate attacks against aid workers in eastern DRC in September, resulting in one aid worker death, one injury, and five abductions. TOTAL U.S. GOVERNMENT HUMANITARIAN FUNDING USAID/BHA1,2 $350,009,015 For the DRC Response in FY 2020 State/PRM3 $68,150,000 For complete funding breakdown with partners, see detailed chart on page 6 Total4 $418,159,015 1USAID’s Bureau for Humanitarian Assistance (USAID/BHA) 2 Total USAID/BHA funding includes non-food humanitarian assistance from the former Office of U.S. Foreign Disaster Assistance and emergency food assistance from the former Office of Food for Peace. 3 U.S. Department of State’s Bureau of Population, Refugees, and Migration (State/PRM) 4 This total includes approximately $23,833,699 in supplemental funding through USAID/BHA and State/PRM for COVID-19 preparedness and response activities.
    [Show full text]
  • Democratic Republic of Congo: Cholera Outbreak in Katanga And
    Democratic Republic of Congo: Cholera outbreak in DREF Operation n° MDRCD005 GLIDE n° EP-2008-000245-COD Katanga and Maniema 16 December, 2008 provinces The International Federation’s Disaster Relief Emergency Fund (DREF) is a source of un-earmarked money created by the Federation in 1985 to ensure that immediate financial support is available for Red Cross and Red Crescent response to emergencies. The DREF is a vital part of the International Federation’s disaster response system and increases the ability of national societies to respond to disasters. CHF 173,430 (USD 147,449 or EUR 110,212) has been allocated from the Federation’s Disaster Relief Emergency Fund (DREF) to support the Red Cross of the Democratic Republic of the Congo in building its cholera outbreak management capacities in two provinces, namely Maniema and Katanga, and providing assistance to some 600’000 beneficiaries. Un-earmarked funds to repay DREF are encouraged. Summary: Although this DREF bulletin describes the situation in four provinces (North and South Kivu, Maniema and Katanga), the proposed operation will focus only on two provinces (Maniema and Katanga). This is because North and South Kivu, due to ongoing conflict, the RCDRC is working with the ICRC as lead agency. Therefore, all cholera response activities in those two provinces will be covered by ICRC and all cholera response activities in those two provinces will not be covered by this DREF operation. Since early October 2008, high morbidity and mortality rates associated with a cholera epidemic outbreak have been registered in the Maniema, Katanga, North and South Kivu provinces.
    [Show full text]
  • Drc: Large Scale Use of Ocv for Cholera Control- Results and Perspectives
    Presentation DRC GTFCC annual meeting DRC: LARGE SCALE USE OF OCV FOR CHOLERA CONTROL- RESULTS AND PERSPECTIVES National Program for the Elimination of Cholera and Control Against Diarrheal Diseases weekly incidence, cholera cases, case-fatality rate, DRC, week 1,2017 to week 20, 2019 and OVC 3000 9,0 Vaccination retained Implementation of a community approach to fight against cholera using the grid as one of the strategy technique in the hotspots (approach developed by PNECHOL-MD) of the response 8,0 2500 Creation National Program for the Elaboration Multisectoral plan for Elaboration of triennial vaccination plan 7,0 Elimination of Cholera and Control the elimination of cholera in the DRC Against Diarrheal Diseases 2018-2022 2000 6,0 Establishment of the National Coordinating Committee for the Elimination of Cholera 5,0 1500 4,0 1000 3,0 2,0 500 1,0 0 0,0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 1 3 5 7 9 11 13 15 17 19 2017 2018 2019 Cases AttackCase Fatality Rate Rate OCV in 3 provinces Kasaï région - Week1-52, 2018 : 30768 cases and 927 deaths (3,2% lethality) - Since 6 weeks lower weekly incidence 500 cases - week1 -20,2019: 10928 cases and 245 deaths - Higher case fatality rate 1% (attack rate 2,2%) Weekly evolution of cholera in DRC from week 17 to 20 of 2019 compare to 2018 Evolution hebdomadaire de cas de choléra par province en 2018 et 2019 (semaines 17 à 20) 2018 2019 Nord-Ubangi Nord-Ubangi Bas-UeleHaut-Uele Haut-Uele
    [Show full text]
  • Democratic Republic of the Congo Since the Beginning of the Year
    Democratic Republic of the Congo Humanitarian Situation Report No. 08 @UNICEF/Tremeauu © UNICEF/Tremeau Reporting Period: August 2020 Highlights Situation in Numbers 15,000,000 • Four provinces alone account for 90% of cases of Cholera (12,803 children in need of suspected cases), namely North Kivu, South Kivu, Tanganyika and humanitarian assistance Haut-Katanga.14,153 suspected cases, of which 201 deaths, have been (OCHA, Revised reported across the Democratic Republic of the Congo since the beginning of the year. Humanitarian Response • In South Kivu province, UNICEF continues to face continuous Plan 2020, June 2020) challenges to provide humanitarian assistance to people displaced due to conflicts in Mikenge, Minembwe and Bijombo (Haut Plateaux). 25,600,000 Security and logistical constraints are important and limit the access of humanitarian actors. people in need • 57,499 people affected by humanitarian crises in Ituri and North-Kivu (OCHA, Revised HRP 2020) provinces have been provided life-saving emergency packages in NFI/Shelter through UNICEF’s Rapid Response (UniRR). 5,500,000 st • As of 30 August, 109 confirmed cases of Ebola, of which 48 deaths, IDPs (OCHA,Revised HRP have been reported as a result of the DRC’s 11th Ebola outbreak in 2020*) Mbandaka, Equateur province. UNICEF continues to provide a multi- sectoral response in the affected health zones 14,153 cases of cholera reported UNICEF’s Response and Funding Status since January (Ministry of Health) 35% UNICEF Appeal 2020 11% US$ 318 million 56% 17% Funding Status (in US$) 25% Funds 18% received in 2020 88% 28.4M Carry- forwar 34% d 39.7M 12% Fundin 10% g Gap $233.9 0% 20% 40% 60% 80% 100% M 1 Funding Overview and Partnerships UNICEF appeals for US$ 318 million to sustain the provision of humanitarian services for women and children in the Democratic Republic of the Congo (DRC).
    [Show full text]
  • Democratic Republic of Congo
    APRIL 2016 Democratic Republic of Congo: A Review of 20 years of war Jordi Calvo Rufanges and Josep Maria Royo Aspa Escola de Cultura de Pau / Centre Delàs d’Estudis per la Pau DEMOCRATIC REPUBLIC OF CONGO: A REVIEW OF 20 YEARS OF WAR April 2016 D.L.: B-16799-2010 ISSN: 2013-8032 Authors: Jordi Calvo Rufanges and Josep Maria Royo Aspa Support researchers: Elena Fernández Sandiumenge, Laura Marco Gamundi, Eira Massip Planas, María Villellas Ariño Project funded by the Agència Catalana de Cooperació al Desenvolupament INDEX 04 Executive summary 05 1. Introduction 06 2. Roots of the DRC conflict 09 3. Armed actors in the east of the DRC 15 4. Impacts of armamentism 19 5. Military spending 20 6. The political economy of the war 23 7. Current political and social situation 25 8. Gender dimension of the conflict 27 9. Conclusions 29 BIBLIOGRAPHY 34 ANNEX 34 Table 1: Exports of defense equipment from the EU to DRC (2001-2012) 35 Table 2: Arms sales identified in RDC (1995-2013) 36 Table 3: Transfer of small arms and light weapons from the EU to RDC (1995-2013) 37 Table 4: Transfers of small arms and light weapons to DRC (rest of the world) (2004-2013) 38 Table 5: Transfers of significant weapons in RDC and neighboring countries 39 Table 6: Internal arms deviations in the DRC conflict 40 Table 7. Identification of arms sources found in the conflict in DRC 41 Table 8: Exports of small arms and light weapons to Burundi (1995-2013) 42 Table 9: Exports of small arms and light weapons to Rwanda (1995 - 2013) LIST OF TABLES, GRAPHS AND MAPS 06 Map 2.1.
    [Show full text]
  • Consolidated Report on the Livelihood Zones of the Democratic Republic
    CONSOLIDATED REPORT ON THE LIVELIHOOD ZONES OF THE DEMOCRATIC REPUBLIC OF CONGO DECEMBER 2016 Contents ACRONYMS AND ABBREVIATIONS ......................................................................................... 5 ACKNOWLEDGEMENTS .......................................................................................................... 6 1. INTRODUCTION ................................................................................................................ 7 1.1 Livelihoods zoning ....................................................................................................................7 1.2 Implementation of the livelihood zoning ...................................................................................8 2. RURAL LIVELIHOODS IN DRC - AN OVERVIEW .................................................................. 11 2.1 The geographical context ........................................................................................................ 11 2.2 The shared context of the livelihood zones ............................................................................. 14 2.3 Food security questions ......................................................................................................... 16 3. SUMMARY DESCRIPTIONS OF THE LIVELIHOOD ZONES .................................................... 18 CD01 COPPERBELT AND MARGINAL AGRICULTURE ....................................................................... 18 CD01: Seasonal calendar ....................................................................................................................
    [Show full text]
  • Evaluation of Democratic Republic of the Congo Interim Country Strategic Plan 2018-2020
    Evaluation of Democratic Republic of the Congo Interim Country Strategic Plan 2018-2020 Evaluation Report: Volume I Commissioned by the WFP Office of Evaluation October 2020 Acknowledgements The external evaluation team is very grateful for all the assistance provided by Michael Carbon, evaluation manager, and Lia Carboni, research analyst, of the WFP Office of Evaluation (OEV); Claude Jibidar, Country Director of WFP Democratic Republic of the Congo; their many colleagues at headquarters (HQ), regional bureau (RB), country office (CO) and sub-offices. Assistance from the evaluation focal point in the Democratic Republic of the Congo, Tafadzwa Chiposi was invaluable. We also acknowledge with thanks the contribution of the numerous government, multilateral, bilateral, and non-governmental organization informants who gave generously their time and advice during the evaluation process. We would also like to extend our thanks to Clemence Bouchat and James Hunter at Action Against Hunger (ACF) UK for their vital work. Disclaimer The opinions expressed are those of the evaluation team, and do not necessarily reflect those of the World Food Programme. Responsibility for the opinions expressed in this report rests solely with the authors. Publication of this document does not imply endorsement by WFP of the opinions expressed. The designations employed and the presentation of material in the maps do not imply the expression of any opinion whatsoever on the part of WFP concerning the legal or constitutional status of any country, territory or sea area, or concerning the delimitation of frontiers. Key personnel for the evaluation OFFICE OF EVALUATION Andrea Cook – Director of Evaluation Michael Carbon – Evaluation Manager Lia Carboni – Evaluation Analyst EXTERNAL EVALUATION TEAM Dr.
    [Show full text]
  • Tentative Representation of Pygmies Distribution Based
    IBRD 34474 10°E 15°E 20°E CENTRAL AFRICAN REPUBLIC 25°E 30°E To 5°N 5°N Ubangi To Bangasso SUDAN To Bangui Kembe To Zongo Juba Bondo CAMEROON U Libenge ele Faradje Businga Titule ORIENTALEORIENTALE K Gemena Watsa ibali Buta Isiro EQUATEUREQUATEUR Aketi To ASUAASUA Pakwach Imese Akula Lisala Bumba GROUPSGROUPS Wamba Mongbwalu AKAAKA C EFEEFE o MBUTI-BASUAMBUTI-BASUA i GROUPSGROUPS n i Bunia u g m Bongandanga o wi GROUPSGROUPS GROUPSGROUPS EQ. g Banalia ru n A Lake UGANDA a Basankusu GUIN. b u Bafwasende IturiIturi Mambasa Albert O a ong Yangambi Beni Lul Butembo Mbandaka Kisangani Wanie Rakula 0° Boende 0° L GABON o Lake Bikoro m L a u Lubutu NORDNORD Edward CONGO m a TTWAWA i la LakeLake Lo b L m KIVUKIVU GROUPSGROUPS u e Ikela a TumbaTTumbaumba i la la Lake k T a s Lowa Goma h Victoria u To Ruhengeri a U p li TWATWA Inongo n Lake Kivu a C d i Betamba o GROUPSGROUPS Yumbi n RWANDA LakeLake g o Bukavu To Kibuye Kutu Mat-NdombeMat-Ndombe KASAIKASAI Kalima SUDSUD Lokolama ORIENTALORIENTAL Buna Kindu Bandundu Lodja KIVUKIVU BURUNDI Lukenie Uvira To Kas MANIEMAMANIEMA KINSHASAKINSHASA ai L Bujumbura ake Kama ankur TWATWA To Mangai S CABINDA Pointe-Noire Ilebo GROUPSGROUPS (ANGOLA) Bulungu KINSHASA Malela Lulimba Kenge KASAIKASAI Lusambo Kasongo 5°S 5°S Kikwit Idiofa OCCIDENTALOCCIDENTAL To BAS-CONGOBAS-CONGO Kongolo TANZANIA Pointe- K Boma Mbanza-Ngungu BANDUNDUBANDUNDU w Noire i a l Mbuji- g Kalemie u Kananga u uk L Mayi L u Lake Matadi Feshi a To l Kabinda a Kabalo b Tanganyika ATLANTIC Damba K K a w a Tshikapa s a ai n OCEAN g o Moba Mwene-Ditu
    [Show full text]