Cameroon 2020 Human Rights Report
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Page 1 C H a D N I G E R N I G E R I a G a B O N CENTRAL AFRICAN
CAMEROON: LOCATIONS OF UNHCR PERSONS OF CONCERN (November 2019) 1,713,168 PERSONS UNDER THE COMPETENCENIGER OF UNHCR 271,566 CAR REFUGEES IN RURAL AREAS 107,423 NIG REFUGEES IN RURAL AREAS 26,305 URBAN REFUGEES 9,688 ASYLUM SEEKERS 950,263 INTERNALLY DISPLACED PERSONS (IDPs) Kousseri LOGONE 347,923 RETURNEES ET CHARI Waza Limani Magdeme Number of refugees EXTRÊME-NORD MAYO SAVA < 3,000 Mora Mokolo Maroua CHAD > 5,000 Minawao DIAMARÉ MAYO TSANAGA MAYO KANI > 20,000 MAYO DANAY MAYO LOUTI Number of IDPs < 2,000 > 5,000 NIGERIA BÉNOUÉ > 20,000 Number of returnees NORD < 2,000 FARO MAYO REY > 5,000 Touboro > 20,000 FARO ET DÉO Beke chantier Ndip Beka VINA Number of asylum seekers Djohong DONGA < 5,000 ADAMAOUA Borgop MENCHUM MANTUNG Meiganga Ngam NORD-OUEST MAYO BANYO DJEREM Alhamdou MBÉRÉ BOYO Gbatoua BUI Kounde MEZAM MANYU MOMO NGO KETUNJIA CENTRAL Bamenda NOUN BAMBOUTOS AFRICAN LEBIALEM OUEST Gado Badzere MIFI MBAM ET KIM MENOUA KOUNG KHI REPUBLIC LOM ET DJEREM KOUPÉ HAUTS PLATEAUX NDIAN MANENGOUBA HAUT NKAM SUD-OUEST NDÉ Timangolo MOUNGO MBAM ET HAUTE SANAGA MEME Bertoua Mbombe Pana INOUBOU CENTRE Batouri NKAM Sandji Mbile Buéa LITTORAL KADEY Douala LEKIÉ MEFOU ET Lolo FAKO AFAMBA YAOUNDE Mbombate Yola SANAGA WOURI NYONG ET MARITIME MFOUMOU MFOUNDI NYONG EST Ngarissingo ET KÉLLÉ MEFOU ET HAUT NYONG AKONO Mboy LEGEND Refugee location NYONG ET SO’O Refugee Camp OCÉAN MVILA UNHCR Representation DJA ET LOBO BOUMBA Bela SUD ET NGOKO Libongo UNHCR Sub-Office VALLÉE DU NTEM UNHCR Field Office UNHCR Field Unit Region boundary Departement boundary Roads GABON EQUATORIAL 100 Km CONGO ± GUINEA The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations Sources: Esri, USGS, NOAA Source: IOM, OCHA, UNHCR – Novembre 2019 Pour plus d’information, veuillez contacter Jean Luc KRAMO ([email protected]). -
MINMAP Région Du Centre SERVICES DECONCENTRES REGIONAUX ET DEPARTEMENTAUX
MINMAP Région du Centre SERVICES DECONCENTRES REGIONAUX ET DEPARTEMENTAUX N° Désignation des MO/MOD Nbre de Marchés Montant des Marchés N° page 1 Services déconcentrés Régionaux 19 2 278 252 000 4 Département de la Haute Sanaga 2 Services déconcentrés départementaux 6 291 434 000 7 3 COMMUNE DE BIBEY 2 77 000 000 8 4 COMMUNE DE LEMBE YEZOUM 8 119 000 000 8 5 COMMUNE DE MBANDJOCK 3 50 000 000 10 6 COMMUNE DE MINTA 5 152 500 000 10 7 COMMUNE DE NANGA-EBOKO 12 139 500 000 11 8 COMMUNE DE NKOTENG 5 76 000 000 13 9 COMMUNE DE NSEM 1 27 000 000 13 TOTAL 42 932 434 000 Département de la Lekié 10 Services déconcentrés départementaux 8 268 357 000 14 11 COMMUNE DE BATCHENGA 2 35 000 000 15 12 COMMUNE DE LOBO 8 247 000 000 15 13 COMMUNE DE MONATELE 11 171 500 000 16 14 COMMUNE DE SA'A 16 384 357 000 18 15 COMMUNE D'ELIG-MFOMO 7 125 000 000 20 16 COMMUNE D'EVODOULA 9 166 250 000 21 17 COMMUNE D'OBALA 14 223 500 000 22 18 COMMUNE D'OKOLA 22 752 956 000 24 19 COMMUNE D’EBEBDA 6 93 000 000 27 TOTAL 103 2 466 920 000 Département du Mbam et Inoubou 20 Services déconcentrés départementaux 4 86 000 000 28 21 COMMUNE DE BAFIA 5 75 500 000 28 22 COMMUNE DE BOKITO 12 213 000 000 29 23 COMMUNE DE KIIKI 4 134 000 000 31 24 COMMUNE DE KONYAMBETA 6 155 000 000 32 25 COMMUNE DE DEUK 2 77 000 000 33 26 COMMUNE DE MAKENENE 3 17 000 000 33 27 COMMUNE DE NDIKINIMEKI 4 84 000 000 34 28 COMMUNE D'OMBESSA 5 91 000 000 34 29 COMMUNE DE NITOUKOU 6 83 000 000 35 TOTAL 51 1 015 500 000 MINMAP/DIVISION DE LA PROGRAMMATION ET DU SUIVI DES MARCHES PUBLICS Page 1 de 88 N° Désignation -
PASC Project Capitalization.Pdf
Table of content Acronyms ........................................................................... 2 THANKS .............................................................................. 3 Introduction ....................................................................... 5 About MBOSCUDA ........................................................ 5 About PASC .................................................................... 5 Section 1: Background and Objectives of the Project .......... 8 1.1 Background and Justification of the Project ............ 8 1.2 Objectives and Expected Results of the Project ...... 10 1.3 Target Population .................................................. 11 1.4 General Approach and Methodology ...................... 12 Section 2: Activities of the Project...................................... 15 Activity 1: Stimulate and accompany the restructuring of emerging Mbororo pastoralist CBOs ............................. 15 Activity 2: Train leaders of Mbororo pastoralist CBOs on group management ................................... 16 Activity 3. Train leaders of Mbororo pastoralist CBOs on Resource Mobilisation................................... 17 Activity 4. Train Mbororo councillors on Lobbying and Advocacy techniques ...................................... 19 Section 3: Outcomes of the Project .................................... 20 3.1 Outcomes at the level of the CBOs ......................... 20 3.2 Outcomes at the level of MBOSCUDA ................... 23 Section 4: Challenges, Lessons and Future Perspectives -
Diversity of Plants Used to Treat Respiratory Diseases in Tubah
International Scholars Journals International Journal of Pharmacy and Pharmacology ISSN: 2326-7267 Vol. 3 (11), pp. 001-008, November, 2012. Available online at www.internationalscholarsjournals.org © International Scholars Journals Author(s) retain the copyright of this article. Full Length Research Paper Diversity of plants used to treat respiratory diseases in Tubah, northwest region, Cameroon D. A. Focho1*, E. A. P. Nkeng2, B. A. Fonge3, A. N. Fongod3, C. N. Muh1, T. W. Ndam1 1 and A. Afegenui 1 Department of Plant Biology, University of Dschang. P. O. Box 67, Dschang, Cameroon. 2 Department of Chemistry, University of Dschang, P. O. Box 63, Dschang, Cameroon. 3 Department of Plant and Animal Sciences, University of Buea, Cameroon. Accepted 17 September, 2012 This study was conducted in Tubah subdivision, Northwest region, Cameroon, aiming at identifying plants used to treat respiratory diseases. A semi-structured questionnaire was used to interview members of the population including traditional healers, herbalists, herb sellers, and other villagers. The plant parts used as well as the modes of preparation and administration were recorded. Fifty four plant species belonging to 51 genera and 33 families were collected and identified by their vernacular and scientific names. The Asteraceae was the most represented family (6 species) followed by the Malvaceae (4 species). The families Asclepiadaceae, Musaceae and Polygonaceae were represented by one species each. The plant part most frequently used to treat respiratory diseases in the study was reported as the leaf. Of the 54 plants studied, 36 have been documented as medicinal plants in Cameroon’s pharmacopoeia. However, only nine of these have been reported to be used in the treatment of respiratory diseases. -
Shelter Cluster Dashboard NWSW052021
Shelter Cluster NW/SW Cameroon Key Figures Individuals Partners Subdivisions Cameroon 03 23,143 assisted 05 Individual Reached Trend Nigeria Furu Awa Ako Misaje Fungom DONGA MANTUNG MENCHUM Nkambe Bum NORD-OUEST Menchum Nwa Valley Wum Ndu Fundong Noni 11% BOYO Nkum Bafut Njinikom Oku Kumbo Belo BUI Mbven of yearly Target Njikwa Akwaya Jakiri MEZAM Babessi Tubah Reached MOMO Mbeggwi Ngie Bamenda 2 Bamenda 3 Ndop Widikum Bamenda 1 Menka NGO KETUNJIA Bali Balikumbat MANYU Santa Batibo Wabane Eyumodjock Upper Bayang LEBIALEM Mamfé Alou OUEST Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Fontem Nguti KOUPÉ HNO/HRP 2021 (NW/SW Regions) Toko MANENGOUBA Bangem Mundemba SUD-OUEST NDIAN Konye Tombel 1,351,318 Isangele Dikome value Kumba 2 Ekondo Titi Kombo Kombo PEOPLE OF CONCERN Abedimo Etindi MEME Number of PoC Reached per Subdivision Idabato Kumba 1 Bamuso 1 - 100 Kumba 3 101 - 2,000 LITTORAL 2,001 - 13,000 785,091 Mbongé Muyuka PEOPLE IN NEED West Coast Buéa FAKO Tiko Limbé 2 Limbé 1 221,642 Limbé 3 [ Kilometers PEOPLE TARGETED 0 15 30 *Note : Sources: HNO 2021 PiN includes IDP, Returnees and Host Communi�es The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations Key Achievement Indicators PoC Reached - AGD Breakdouwn 296 # of Households assisted with Children 27% 26% emergency shelter 1,480 Adults 21% 22% # of households assisted with core 3,769 Elderly 2% 2% relief items including prevention of COVID-19 21,618 female male 41 # of households assisted with cash for rental subsidies 41 Households Reached Individuals Reached Cartegories of beneficiaries reported People Reached by region Distribution of Shelter NFI kits integrated with COVID 19 KITS in Matoh town. -
CAMEROON Perspectives on Food Security October 2020 to May 2021 Food Security Improved in the Far North, but Worsened in the Northwest and Southwest
CAMEROON Perspectives on food security October 2020 to May 2021 Food security improved in the Far North, but worsened in the Northwest and Southwest KEY MESSAGES • Despite the recent surge in attacks by Boko Haram, and Current food security situation, October 2020 excessive rainfall leading to flooding in some locations in the Far North, ongoing new harvests have improved food security for many poor households that currently subsist on their own harvests. The harvest of rainfed grains from the primary agricultural campaign in 2020 is estimated to be average, due to favorable weather conditions. Slightly lower than average production is expected in the Logone-et-Chari, Mayo Sava, and Mayo Tsanga departments, where Boko Haram is most active, as well as in locations where harvests were lost to flooding. • Current prices at the primary markets in the Far North appear stable or are decreasing. Since July 2020, staple food prices have increased above typical levels. Sorghum and maize are selling at 46 to 60 percent, and 30 to 47 percent higher (respectively) than in July 2019. Although current prices are still above average, sorghum and groundnut prices have decreased by 17 percent and 18 percent as compared to the Source: FEWS NET previous three months. FEWS NET classification is IPC-compatible (Integrated Phase Classification). IPC-compatible analysis follows key IPC protocols but • In the Northwest and Southwest regions, where agricultural does not necessarily reflect the consensus of national food security production was lower than average for four consecutive years partners. due to ongoing socio-political conflicts, this year's harvests are running out earlier than usual. -
MINMAP South-West Region
MINMAP South-West region SUMMARY OF DATA BASED ON INFORMATION GATHERED Number of N° Designation of PO/DPO Amount of Contracts N° Page contracts 1 Limbe City Council 7 475 000 000 4 2 Kumba City Council 1 10 000 000 5 3 External Services 14 440 032 000 6 Fako Division 4 External Services 9 179 015 000 8 5 Buea Council 5 125 500 000 9 6 Idenau Council 4 124 000 000 10 7 Limbe I Council 4 152 000 000 10 8 Limbe II Council 4 219 000 000 11 9 Limbe III Council 6 102 500 000 12 10 Muyuka Council 6 127 000 000 13 11 Tiko Council 5 159 000 000 14 TOTAL 43 1 188 015 000 Kupe Muanenguba Division 12 External Services 5 100 036 000 15 13 Bangem Council 9 605 000 000 15 14 Nguti Council 6 104 000 000 17 15 Tombel Council 7 131 000 000 18 TOTAL 27 940 036 000 MINMAP / PUBLIC CONTRACTS PROGRAMMING AND MONITORING DIVISION Page 1 of 34 MINMAP South-West region SUMMARY OF DATA BASED ON INFORMATION GATHERED Lebialem Division 16 External Services 5 134 567 000 19 17 Alou Council 9 144 000 000 19 18 Menji Council 3 181 000 000 20 19 Wabane Council 9 168 611 000 21 TOTAL 26 628 178 000 Manyu Division 18 External Services 5 98 141 000 22 19 Akwaya Council 6 119 500 000 22 20 Eyomojock Council 6 119 000 000 23 21 Mamfe Council 5 232 000 000 24 22 Tinto Council 6 108 000 000 25 TOTAL 28 676 641 000 Meme Division 22 External Services 5 85 600 000 26 23 Mbonge Council 7 149 000 000 26 24 Konye Council 1 27 000 000 27 25 Kumba I Council 3 65 000 000 27 26 Kumba II Council 5 83 000 000 28 27 Kumba III Council 3 84 000 000 28 TOTAL 24 493 600 000 MINMAP / PUBLIC CONTRACTS -
Dictionnaire Des Villages De La Haute Sanaga a Été Entièrement Remise À Jour Et Corrigée En Fonction Des Derniers Renseignements Que Nous Possédons
OFFICE DE LA RECHERCHE REPUBLIQUE FEDEIlA~ SCIENTIFIQUE ET TECHNIQUE DU OUTRE-MER CAMEROUN CENTRE ORSTOM DE YAOUNDE DICTIONNAIR'E DES VILLAGES DE LA HAUTE SANAGA (2ème Editan) ~aprèS la documentation réunie ~-:-l ~ection de Géographie de l' ORST~ "~fUTOJkGEOGRAPHIQUE DU CAMEROUN FASCICULE N° 3 B. P. 193 SH. n° 50 YAOUNDE Août 1968 REPERTOIRE GEOGRAPHIQUE DU CAMEROUN Fasc. Tableau de la population du Cameroun, 68 p. Fév. 1965 SH. N° 17 Fasc. 2 Dictionnaire des villages du Dia et lobo, 89 p. Juin 1965 SH. N° 22 Fasc. 3 Dictionnaire des villages de la Haute-Sanaga, 44 p. Août 1968 SH. N° 50 (2éme édition) Fasc. 4 Dictionnaire des villages du Nyong et Mfoumou, 49 p. Octobre 1965 SH. N° 24 ~: Fasc. 5 Dictio~riaire des villages du Nyong et Soo 45 p. Novembre 1965 SH. N° 25 Fasc. 6 Dictionnaire des villages du Ntem 102 p. Juin 1968 SH. N° 46 (2ème édition) Fasc. 7 Dictionnaire des villages de la Mefou 108 p. Janvier 1966 SH. N° 27 Fa sc. 8 Dictionnaire des villages du Nyong et Kellé 51 p. Février 1966 SH. N° 28 Fa sc. 9 Dictionnaire des villages de la lékié 71 p. Mars 1966 SH. N° 29 Fasc. 10 Dictionnaire des villages de Kribi P. Mars 1966 SH. N° 30 Fasc. 11 Dictionnaire des villages du Mbam 60 P. Mai 1966 SH. N° 31 Fasc. 12 Dictionnaire des villages de Boumba Ngoko 34 p. Juin 1966 SH. 39 Fasc. 13 Dictionnaire des villages de lom-et-Djérem 35 p. Juillet 1967 SH. 40 Fasc. 14 Dictionnaire des villages de la Kadei 52 p. -
N I G E R I a C H a D Central African Republic Congo
CAMEROON: LOCATIONS OF UNHCR PERSONS OF CONCERN (September 2020) ! PERSONNES RELEVANT DE Maïné-Soroa !Magaria LA COMPETENCE DU HCR (POCs) Geidam 1,951,731 Gashua ! ! CAR REFUGEES ING CurAi MEROON 306,113 ! LOGONE NIG REFUGEES IN CAMEROON ET CHARI !Hadejia 116,409 Jakusko ! U R B A N R E F U G E E S (CENTRAL AFRICAN REPUBLIC AND 27,173 NIGERIAN REFUGEE LIVING IN URBAN AREA ARE INCLUDED) Kousseri N'Djamena !Kano ASYLUM SEEKERS 9,332 Damaturu Maiduguri Potiskum 1,032,942 INTERNALLY DISPLACED PERSO! NS (IDPs) * RETURNEES * Waza 484,036 Waza Limani Magdeme Number of refugees MAYO SAVA Mora ! < 10,000 EXTRÊME-NORD Mokolo DIAMARÉ Biu < 50,000 ! Maroua ! Minawao MAYO Bauchi TSANAGA Yagoua ! Gom! be Mubi ! MAYO KANI !Deba MAYO DANAY < 75000 Kaele MAYO LOUTI !Jos Guider Number! of IDPs N I G E R I A Lafia !Ləre ! < 10,000 ! Yola < 50,000 ! BÉNOUÉ C H A D Jalingo > 75000 ! NORD Moundou Number of returnees ! !Lafia Poli Tchollire < 10,000 ! FARO MAYO REY < 50,000 Wukari ! ! Touboro !Makurdi Beke Chantier > 75000 FARO ET DÉO Tingere ! Beka Paoua Number of asylum seekers Ndip VINA < 10,000 Bocaranga ! ! Borgop Djohong Banyo ADAMAOUA Kounde NORD-OUEST Nkambe Ngam MENCHUM DJEREM Meiganga DONGA MANTUNG MAYO BANYO Tibati Gbatoua Wum BOYO MBÉRÉ Alhamdou !Bozoum Fundong Kumbo BUI CENTRAL Mbengwi MEZAM Ndop MOMO AFRICAN NGO Bamenda KETUNJIA OUEST MANYU Foumban REPUBLBICaoro BAMBOUTOS ! LEBIALEM Gado Mbouda NOUN Yoko Mamfe Dschang MIFI Bandjoun MBAM ET KIM LOM ET DJEREM Baham MENOUA KOUNG KHI KOUPÉ Bafang MANENGOUBA Bangangte Bangem HAUT NKAM Calabar NDÉ SUD-OUEST -
Typologie Des Planteurs Talba Nanga Eboko (À Dire D’Experts Et Basée Sur La Surface Possédée En Cacao) Bokito Mbandjok
Colloque de Dijon 20 et 21 novembre 2013 Nouvelles formes d’agriculture : pratiques ordinaires , débats publics et critique sociale T Heur et malheur d’une transition capitaliste : l’exemple des planteurs de cacao du Centre Cameroun Philippe Pédelahore Cirad, Dpt ES, UMR Innovation 1 Une étude sur les dynamiques de changement dans les systèmes agroforestiers à base de cacao du Cameroun Entre 1995 et 2013 la production de cacao a été multipliée par 2 (110.000 à 220.000 T) Que s’est-il passé ? 2 Depuis la libéralisation de la filière (1990) pas de données statistiques : enquêtes dans le principal bassin cacaoyer : deux zones représentatives Bassin cacaoyer historique Extension des SAF cacao (fronts pionniers) Talba Obala Echelle : 100 km Deux sites d’étude dans la province du Centre Obala Talba habitants/km2 111 < à 8 Dynamiques Anciennes Front Plantations 1910-1970 pionnier Yoko cacaoyères 1970-2010 Mbam Mobilité spatiale Zone de départ Zone et Kim des planteurs d’arrivée Ngoro Bafia Typologie des planteurs Talba Nanga Eboko (à dire d’experts et basée sur la surface possédée en cacao) Bokito Mbandjok La Lékié Obala Obala 2010 Yaoundé Ayos Akonolinga N Mbalmayo 0 50 km Talba ,2010 Densité population en 1998 Légende Choix de 82 planteurs < 8 habitants/km2 2 : capitale d’Etat (Echantillonnage stratifié) 8 à 16 habitants / km Yaoundé 16 à 35 habitants / km2 Ayos : ville secondaire Entretiens semi-directifs 35 à 100 habitants / km2 Talba : site d’étude Parcours de vie sur trois générations : 100 à 1500 habitants / km2 Stratégies et trajectoires d’accumulation > à 1500 habitants / km2 Mbam et Kim : département Résultats 5 Des trajectoires d’accumulation en surfaces cacaoyères différentes. -
Wildlife Trafficking in Cameroon and Republic of the Congo
Wildlife Traffcking in Cameroon and Republic of the Congo A Scoping Review and Recommendations for Cooperation with China A / Room 032, unit 1, foreign affairs offce building, tower garden, No. 14, South Liangmahe Road, Chaoyang District, Beijing P.C / 100600 T / 86-10-8532-5910 F / 86-10-8532-5038 E / [email protected] http://www.geichina.org Acknowledgement We would like to give special thanks to UK’s Department for International Development (DFID) for its funding support on this project. We are very grateful of Mr. Simon Essissima from the Ministry of Forestry and Wildlife of Cameroon and Mr. Nan Jiang from the Nanjing Forest Police College of China for their invaluable feedbacks and suggestions to the report. We would also like to thank Mme. Jiaman Jin, Executive Director of GEI, Mr. Chun Li, Senior Consultant of GEI, Mr. Peng Ren, Program Manager of Overseas Investment, Trade and the Environment, and Ms. Lin Ji, Executive Secretary of GEI for their guidance, support and participation throughout the research project. Finally, we would like to thank our interns who have contributed to the translation and editing of this report: Ms. Qiuyi Wang, Ms. Qian Zhu, Ms. Diana Gomez. 01 02 Acronyms Introduction ACFAP Congolese Wildlife and Protected Areas Agency [1] Wildlife traffcking is increasingly considered a threat to global conservation efforts. With global momentum to combat international wildlife traffcking, countries along the ANAFOR National Forest Development Support Agency "Congo Basin Forests," Greenpeace supply chain should take collective action to ensure effective disruption of the traffcking CAR Central African Republic USA, accessed August 09, 2019. -
GSJ: Volume 9, Issue 2, February 2021, Online: ISSN 2320-9186
GSJ: Volume 9, Issue 2, February 2021 ISSN 2320-9186 1288 GSJ: Volume 9, Issue 2, February 2021, Online: ISSN 2320-9186 www.globalscientificjournal.com FARMERS COMPETENCE AND CHALLENGES IN FOOD CROP MANAGEMENT IN THE NDOP PLAIN Kometa Sunday Shende and Tafuh Desmond Forbah [email protected] Department of Geography and Planning, Faculty of Arts, The University of Bamenda, Cameroon ABSTRACT Agriculture is one of the sectors with the potentials to enhance people’s standard of living. Severe hunger and poverty affects nearly one billion people around the world and as a result, the demand for food necessitates improvement in planning and management techniques of food crop production. Given that food crop cultivation remains crucial for livelihood sustenance, management techniques by farmers are largely unsustainable. With continuous increase in population, the demand for food crops remains a threat to the community as the inputs of farmers into the farms does not reflect their output in the Ndop Plain. The supply of food crops is becoming unsecured in view of the post-harvest losses incurred by farmers. Farmers Competence in Food Crop Management holds promises to increase food crop production and minimise post harvest losses. This holds that farmers success in food crop management requires a certain level of knowledge, skills, attitudes and experience acquired through formal and informal training. The study intends to investigate farmers’ competence and challenges in food crop management in the Ndop Plain. The study makes use of primary and secondary data collection in which purposive random sampling was used in administering the questionnaires. Primary sources of data collection used in the study include field observation, interview and administration of questionnaires.