Democratic Republic of the Congo: Peace Process and Background
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Statelessness and Citizenship in the East African Community
Statelessness and Citizenship in the East African Community A Study by Bronwen Manby for UNHCR September 2018 Commissioned by UNHCR Regional Service Centre, Nairobi, Kenya [email protected] STATELESSNESS AND CITIZENSHIP IN THE EAST AFRICAN COMMUNITY 2 September 2018 STATELESSNESS AND CITIZENSHIP IN THE EAST AFRICAN COMMUNITY Table of Contents List of Tables ............................................................................................................................... i List of Boxes ................................................................................................................................ i Methodology and acknowledgements ...................................................................................... ii A note on terminology: “nationality”, “citizenship” and “stateless person” ........................... iii Acronyms .................................................................................................................................. iv Key findings and recommendations ....................................................................... 1 1. Summary ........................................................................................................... 3 Overview of the report .............................................................................................................. 4 Key recommendations .............................................................................................................. 5 Steps already taken .................................................................................................................. -
Inequality of Child Mortality Among Ethnic Groups in Sub-Saharan Africa M
Special Theme ±Inequalities in Health Inequality of child mortality among ethnic groups in sub-Saharan Africa M. Brockerhoff1 & P. Hewett2 Accounts by journalists of wars in several countries of sub-Saharan Africa in the 1990s have raised concern that ethnic cleavages and overlapping religious and racial affiliations may widen the inequalities in health and survival among ethnic groups throughout the region, particularly among children. Paradoxically, there has been no systematic examination of ethnic inequality in child survival chances across countries in the region. This paper uses survey data collected in the 1990s in 11 countries (Central African Republic, Coà te d'Ivoire, Ghana, Kenya, Mali, Namibia, Niger, Rwanda, Senegal, Uganda, and Zambia) to examine whether ethnic inequality in child mortality has been present and spreading in sub-Saharan Africa since the 1980s. The focus was on one or two groups in each country which may have experienced distinct child health and survival chances, compared to the rest of the national population, as a result of their geographical location. The factors examined to explain potential child survival inequalities among ethnic groups included residence in the largest city, household economic conditions, educational attainment and nutritional status of the mothers, use of modern maternal and child health services including immunization, and patterns of fertility and migration. The results show remarkable consistency. In all 11 countries there were significant differentials between ethnic groups in the odds of dying during infancy or before the age of 5 years. Multivariate analysis shows that ethnic child mortality differences are closely linked with economic inequality in many countries, and perhaps with differential use of child health services in countries of the Sahel region. -
Deforestation and Forest Degradation Activities in the DRC
E4838 V5 DEMOCRATIC REPUBLIC OF THE CONGO MINISTRY FOR THE ENVIRONMENT, NATURE CONSERVATION AND TOURISM Public Disclosure Authorized STRATEGIC ENVIRONMENTAL AND SOCIAL ASSESSMENT OF THE REDD+ PROCESS Public Disclosure Authorized BASELINE REPORT STRATEGIC ENVIRONMENTAL AND SOCIAL ASSESSMENT OF THE REDD+ Public Disclosure Authorized PROCESS Public Disclosure Authorized October 2014 STRATEGIC ENVIRONMENTAL AND SOCIAL ASSESSMENT OF THE REDD+ PROCESS in the DRC INDEX OF REPORTS Environmental Analysis Document Assessment of Risks and Challenges REDD+ National Strategy of the DRC Strategic Environmental and Social Assessment Report (SESA) Framework Document Environmental and Social Management Framework (ESMF) O.P. 4.01, 4.04, 4.37 Policies and Sector Planning Documents Pest and Pesticide Cultural Heritage Indigenous Peoples Process Framework Management Management Planning Framework (FF) Resettlement Framework Framework (IPPF) O.P.4.12 Policy Framework (PPMF) (CHMF) O.P.4.10 (RPF) O.P.4.09 O.P 4.11 O.P. 4.12 Consultation Reports Survey Report Provincial Consultation Report National Consultation of June 2013 Report Reference and Analysis Documents REDD+ National Strategy Framework of the DRC Terms of Reference of the SESA October 2014 Strategic Environmental and Social Assessment SESA Report TABLE OF CONTENTS Introductory Note ........................................................................................................................................ 9 1. Preface ............................................................................................................................................ -
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 -
UNJHRO) MONUSCO – OHCHR March 2021 REPORTED HUMAN RIGHTS VIOLATIONS in DEMOCRATIC REPUBLIC of the CONGO (DRC)
Protection of civilians: Human rights violations documented in provinces affected by conflict United Nations Joint Human Rights Office in the DRC (UNJHRO) MONUSCO – OHCHR March 2021 REPORTED HUMAN RIGHTS VIOLATIONS IN DEMOCRATIC REPUBLIC OF THE CONGO (DRC) Figure 1. Percentage of violations per territory Figure 2. Number of violations per province in DRC SOUTH CENTRAL AFRICAN REPUBLIC SUDAN North Kivu Tanganyika Bas-Uele Haut-Uele Masisi 79% 21 Kalemie 36% 65 North-Ubangi Beni 64 36 Manono0 100 2 UGANDA CAMEROON South-Ubangi Rutshuru 69 31 Moba0 100 Ituri Mongala Lubero 29 71 77 Nyiragongo 86 14 Maniema Tshopo Walikale 90 10 Kabambare 63% 395 CONGO Equateur North Butembo0 100 Kasongo0 100 Kivu Kibombo0 100 GABON Tshuapa 359 South Kivu RWANDA Kasai Shabunda 82% 18 Mai-Ndombe Kamonia (Kas.)0 100% Kinshasa Uvira 33 67 5 BURUNDI Llebo (Kas.)0 100 Sankuru 15 63 Fizi 33 67 Kasai South Tshikapa (Kas.)0 100 Maniema Kivu Kabare 100 0 Luebo (Kas.)0 100 Kwilu 23 TANZANIA Walungu 29 71 Kananga (Kas. C)0 100 Lomami Bukavu0 100 22 4 Demba (Kas. C)0 100 Kongo 46 Mwenga 67 33 Central Luiza (Kas. C)0 100 Kwango Tanganyika Kalehe0 100 Kasai Dimbelenge (Kas. C)0 100 Central Haut-Lomami Ituri Miabi (Kas. O)0 100 Kasai 0 100 ANGOLA Oriental Irumu 88% 12 Mbuji-Mayi (Kas. O) Haut- Djugu 64 36 Lualaba Bas-Uele Katanga Mambasa 30 70 Buta0 100% Mahagi 100 0 % by armed groups % by State agents The boundaries and names shown and designations ZAMBIA used on this map do not imply official endorsement or acceptance by the United Nations. -
Emergency Telecommunications Cluster (ETC) in the Democratic Republic of Congo Was Activated on 20 November 2017
Democratic Republic of Congo (DRC) – Conflict ETC Situation Report #3 Reporting period 24/01/18 to 15/06/18 The Emergency Telecommunications Cluster (ETC) in the Democratic Republic of Congo was activated on 20 November 2017. Under the global leadership of the World Food Programme (WFP), the ETC is coordinating the ICT response with government, the private sector and humanitarian partners on the ground. Highlights The Emergency Telecommunications Cluster (ETC) is providing shared security telecommunications services to support humanitarian operations in the Kasai region, South Kivu and Tanganyika. These services are available in Kananga and Tshikapa (Kasai-Occidental), Mbuji-Mayi (Kasai-Oriental), Bukavu (South Kivu) and in Kalemie (Tanganyika). The ETC carried out assessment missions in Sud Kivu and Tanganika provinces in May 2018 to evaluate evolving needs and adjust plans Healthcare worker disinfects areas where cases of deaths from Ebola have been reported. accordingly. Photo: WHO Due to the Ebola outbreak in May 2018, the ETC has submitted a funding application to the United States Agency for International Development (USAID) to provide services in the affected areas in the North-West part of DRC. Situation Overview On 8 May 2018, the Ministry of Health of the Democratic Republic of the Congo notified the World Health Organization (WHO) of an Ebola outbreak in Bikoro Health Zone, Equateur Province. According to the Office for the Coordination of Humanitarian Affairs (OCHA), the epidemic seems to be stabilizing with zero deaths and zero new cases since 21 May. Bikoro, Iboko, Wangata and Itipo, are affected health zones located in a dense forest intertwined by rivers and lakes in Équateur province. -
From Resource War to ‘Violent Peace’ Transition in the Democratic Republic of the Congo (DRC) from Resource War to ‘Violent Peace’
paper 50 From Resource War to ‘Violent Peace’ Transition in the Democratic Republic of the Congo (DRC) From Resource War to ‘Violent Peace’ Transition in the Democratic Republic of Congo (DRC) by Björn Aust and Willem Jaspers Published by ©BICC, Bonn 2006 Bonn International Center for Conversion Director: Peter J. Croll An der Elisabethkirche 25 D-53113 Bonn Germany Phone: +49-228-911960 Fax: +49-228-241215 E-mail: [email protected] Internet: www.bicc.de Cover Photo: Willem Jaspers From Resource War to ‘Violent Peace’ Table of contents Summary 4 List of Acronyms 6 Introduction 8 War and war economy in the DRC (1998–2002) 10 Post-war economy and transition in the DRC 12 Aim and structure of the paper 14 1. The Congolese peace process 16 1.1 Power shifts and developments leading to the peace agreement 17 Prologue: Africa’s ‘First World War’ and its war economy 18 Power shifts and the spoils of (formal) peace 24 1.2 Political transition: Structural challenges and spoiler problems 29 Humanitarian Situation and International Assistance 30 ‘Spoiler problems’ and political stalemate in the TNG 34 Systemic Corruption and its Impact on Transition 40 1.3 ‘Violent peace’ and security-related liabilities to transition 56 MONUC and its contribution to peace in the DRC 57 Security-related developments in different parts of the DRC since 2002 60 1.4 Fragility of security sector reform 70 Power struggles between institutions and parallel command structures 76 2. A Tale of two cities: Goma and Bukavu as case studies of the transition in North and South Kivu -
UNHAS DRC Weekly Flight Schedule
UNHAS DRC Weekly Flight Schedule Effective from 09th June 2021 AIRCRAFT MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY SATURDAY KINSHASA ETD From To ETA ETD From To ETA ETD From To ETA ETD From To ETA ETD From To ETA ETD From To ETA 08:00 KINSHASA MBANDAKA 09:00 08:00 KINSHASA MBANDAKA 09:30 08:30 KINSHASA BRAZZAVILLE 08:45 08:00 KINSHASA MBANDAKA 09:30 08:00 KINSHASA MBANDAKA 09:30 UNO-234H 09:30 MBANDAKA GBADOLITE 10:55 10:00 MBANDAKA YAKOMA 11:40 09:30 BRAZZAVILLE MBANDAKA 11:00 10:00 MBANDAKA GBADOLITE 11:25 10:00 MBANDAKA LIBENGE 11:00 5Y-VVI 11:25 GBADOLITE BANGUI 12:10 12:10 YAKOMA MBANDAKA 13:50 11:30 MBANDAKA IMPFONDO 12:00 11:55 GBADOLITE MBANDAKA 13:20 11:30 LIBENGE BANGUI 11:50 DHC-8-Q400 13:00 BANGUI MBANDAKA 14:20 14:20 MBANDAKA KINSHASA 15:50 12:30 IMPFONDO MBANDAKA 13:00 13:50 MBANDAKA KINSHASA 15:20 12:40 BANGUI MBANDAKA 14:00 SPECIAL FLIGHTS OR MAINTENANCE 14:50 MBANDAKA KINSHASA 16:20 13:30 MBANDAKA BRAZZAVILLE 15:00 14:30 MBANDAKA KINSHASA 16:00 15:30 BRAZZAVILLE KINSHASA 15:45 AD HOC CARGO FLIGHT TSA WITH UNHCR KINSHASA ETD From To ETA ETD From To ETA ETD From To ETA ETD From To ETA ETD From To ETA ETD From To ETA 09:00 KINSHASA KANANGA 11:15 08:00 KINSHASA KALEMIE 11:15 09:00 KINSHASA KANANGA 11:15 UNO-207H 11:45 KANANGA GOMA 13:10 11:45 KALEMIE GOMA 12:35 11:45 KANANGA GOMA 13:10 5Y-CRZ SPECIAL FLIGHTS OR MAINTENANCE SPECIAL FLIGHTS OR MAINTENANCE SPECIAL FLIGHTS OR MAINTENANCE EMB-145 LR 14:10 GOMA KANANGA 15:35 13:35 GOMA KINSHASA 14:50 14:10 GOMA KANANGA 15:35 16:05 KANANGA KINSHASA 16:20 16:05 KANANGA KINSHASA 16:20 -
Burundian Refugees in Western Tanzania, It Can Be Expected That Such Activities Would Take Place
BURUNDIAN REFUGEES IN TANZANIA: The Key Factor to the Burundi Peace Process ICG Central Africa Report N° 12 30 November 1999 PROLOGUE The following report was originally issued by the International Crisis Group (ICG) as an internal paper and distributed on a restricted basis in February 1999. It incorporates the results of field research conducted by an ICG analyst in and around the refugee camps of western Tanzania during the last three months of 1998. While the situation in Central Africa has evolved since the report was first issued, we believe that the main thrust of the analysis presented remains as valid today as ever. Indeed, recent events, including the killing of UN workers in Burundi and the deteriorating security situation there, only underscore the need for greater attention to be devoted to addressing the region’s unsolved refugee problem. With this in mind, we have decided to reissue the report and give it a wider circulation, in the hope that the information and arguments that follow will help raise awareness of this important problem and stimulate debate on the best way forward. International Crisis Group Nairobi 30 November 1999 Table of Contents PROLOGUE .......................................................................................................................................... I I. INTRODUCTION......................................................................................................................... 1 II. REFUGEE FLOWS INTO TANZANIA....................................................................................... -
An Estimated Dynamic Model of African Agricultural Storage and Trade
High Trade Costs and Their Consequences: An Estimated Dynamic Model of African Agricultural Storage and Trade Obie Porteous Online Appendix A1 Data: Market Selection Table A1, which begins on the next page, includes two lists of markets by country and town population (in thousands). Population data is from the most recent available national censuses as reported in various online databases (e.g. citypopulation.de) and should be taken as approximate as census years vary by country. The \ideal" list starts with the 178 towns with a population of at least 100,000 that are at least 200 kilometers apart1 (plain font). When two towns of over 100,000 population are closer than 200 kilometers the larger is chosen. An additional 85 towns (italics) on this list are either located at important transport hubs (road junctions or ports) or are additional major towns in countries with high initial population-to-market ratios. The \actual" list is my final network of 230 markets. This includes 218 of the 263 markets on my ideal list for which I was able to obtain price data (plain font) as well as an additional 12 markets with price data which are located close to 12 of the missing markets and which I therefore use as substitutes (italics). Table A2, which follows table A1, shows the population-to-market ratios by country for the two sets of markets. In the ideal list of markets, only Nigeria and Ethiopia | the two most populous countries | have population-to-market ratios above 4 million. In the final network, the three countries with more than two missing markets (Angola, Cameroon, and Uganda) are the only ones besides Nigeria and Ethiopia that are significantly above this threshold. -
Democratic Republic of the Congo
DEMOCRATIC REPUBLIC OF THE CONGO MONTHLY REFUGEE STATISTICS Situation as of November 30, 2020 Type Age 0-4 5-11 12-17 18-59 60+ Total % Total Rural (out of camp) 75,821 105,155 62,321 131,723 9,121 384,141 73.3% Total Camps/Sites 23,501 39,046 20,860 47,419 2,981 133,807 25.5% Total 524,302 Total Urban 620 1,487 1,132 2,939 176 6,354 1.2% Grand Total 99,942 145,688 84,313 182,081 12,278 524,302 Refugee Population in DRC Refugee Population by Province in DRC Country Female Male Total % Province Main Location Type Female Male Total Angola** 179 235 414 0.08% Bas Uele Ango & Bondo Rural 22,519 17,697 40,216 Burundi* 25,022 23,530 48,552 9.26% Equateur Disperced Rural 143 213 356 CAR* 91,469 79,582 171,051 32.62% Haut Katanga Lubumbashi & Urb. & Rur. 1,742 Arounds 808 934 Rep.Congo 251 386 637 0.12% Haut Uele Dungu, Doruma Rural 22,311 19,394 41,705 Rwanda*** 107,534 106,440 213,974 40.81% Ituri Aru & Ariwara Rural 25,506 22,351 47,857 S. Sudan* 47,837 41,737 89,574 17.08% Kasai Oriental Tshiala Rural 2 6 8 Kinshasa & Sudan 8 24 32 0.01% Kinshasa Urb. & Rur. 790 outskirts 375 415 Bas Fleuve, Uganda 13 10 23 0.004% Kongo Central Rural 817 MbanzaNg. & Kimaza 328 489 Somalia 7 7 14 0.003% Lomami Luila &MweneDitu Rural 430 456 886 Ivory Coast 4 3 7 0.001% Lualaba Dilolo,Sandoa &Kolwezi Rural 590 596 1,186 Other 10 14 24 0.005% Maniema Pangi, Kailo&Lukolo Rural 203 269 472 Lubero, Masisi, Total 272,334 251,968 524,302 100% Nord Kivu Urb. -
Congolese Refugees
Congolese refugees A protracted situation Situation overview As of 1 January 2014,1 almost half a million refugees Due to the size and the protracted nature of the had fled the Democratic Republic of Congo (DRC) Congolese refugee situation and the on-going violence in making the DRC refugee population the sixth largest in eastern DRC, a common sub-regional approach to the world. Various conflicts since the 1960s have created enhance durable solutions for Congolese refugees within Congolese refugees, and refugees from the DRC now a comprehensive solutions strategy was introduced in represent 18 per cent of the total refugee population in early 2012. This strategy includes significantly increased Africa. resettlement of Congolese refugees who are living in a protracted situation in the Great Lakes and Southern Among the 455,522 Congolese refugees registered in Africa region. In order to implement the resettlement Africa as of 1 January 2014, some 50 per cent (225,609 strategy in a regionally harmonized manner and taking persons) are in the Great Lakes Region, into account reservations towards resettlement, such as approximately 39 per cent (177,751 persons) are in the pull factors and processing capacity, refugees East and Horn of Africa, and 11 per cent (52,162) are in considered for resettlement are being profiled according the Southern Africa region. to two main criteria: In Burundi and Rwanda, Congolese refugees represent over 99 per cent of the total registered refugee Arrival in country of asylum from 1 January 1994 to population. In Tanzania and Uganda, Congolese 31 December 2005; refugees represent approximately 65 per cent of the total registered refugee population.