THE UNITED REPUBLIC OF TANZANIA

MINISTRY OF LIVESTOCK AND FISHERIES DEVELOPMENT

BASIC DATA for LIVESTOCK AND FISHERIES SECTORS 2013















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BASIC DATA FOR LIVESTOCK AND FISHERIES SECTORS 2013 Tanzania Mainland

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TABLE OF CONTENTS TABLE OF CONTENTS .......................................................................................... i PREFACE .............................................................................................................. v CHAPTER 1.0: BACKGROUND, MANDATE, ROLES AND FUNCTIONS, VISION MISSION AND CORE VALUES ............................................... 1 1.1 Background of the Ministry ...................................................................... 1 1.2 Mandate of MLFD ................................................................................... 1 1.3 Roles and Functions of MLFD ................................................................. 1 1.4 The Ministry’s Current Vision and Mission Statements ............................... 2 1.4.1 Vision Statement ................................................................................... 2 1.3.2 Mission Statement .................................................................................. 2 1.3.3 Core Values ........................................................................................... 3 1.3.4 The Organisation Structure of the Ministry of Livestock Development and Fisheries ..................................................................... 4 CHAPTER 2.0: LIVESTOCK SECTOR ................................................................... 5 2.1 Agricultural Households by Type of Holding .......................................... 5 2.1.1 Agricultural Households by Type of Holding and Region (NSCA 1993/1994 & DIAS 1998/1999) ...................................................... 5 2.1.2 Agricultural Households by Type of Holding and Region (NSCA 2002/2003 & NSCA 2007/2008) .......................................... 6 2.2 Livestock Population by Years .................................................................. 7 2.2.1 Cattle, Sheep, Goats and Pig Population Year 1919 – 1993 ........................... 7 2.2.2 Total Number of Cattle (Heads) by Type and Region (NSCA 1993/1994 & DIAS 1998/1999) ....................................................... 8 2.2.3 Total Number of Cattle (Heads) by Type and Region (NSCA 2002/2003 & NSCA 2007/2008) ...................................................... 9 2.2.4 Total Number of Sheep and Goats by Region ............................................. 10 2.2.5 Total Number of Pigs by Region ............................................................... 11 2.2.6 Total Number of Chicken by Region ........................................................ 11 2.3: Livestock Population Projections ............................................................... 13 2.3.1: Cattle ...................................................................................................... 13 2.3.2: Goats ..................................................................................................... 14 2.3.3: Sheep ..................................................................................................... 15 2.3.4: Pigs ....................................................................................................... 16 2.3.5 Chickens ................................................................................................ 17 2.3.6 Livestock Population by Region and Districts – NSCA 2007/2008 ............... 18 2.4 Production Parameters of Livestock and Poultry in Tanzania ..................... 23 2.4.1 Production Parameters of Cattle ............................................................... 23 2.4.2: Production Parameters of Small Ruminants, Pigs and Poultry .......................... 24 2.4.3 Parameters for Meat production ............................................................... 24 2.4.4 Parameters for Milk production ................................................................ 24

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2.4.5 Parameters for Egg production ................................................................. 2.5 Livestock Products ................................................................................. 2.5.1 Production of Livestock Products 1992/1993 - 2008/2009 (Meat, Milk and Egg) ............................................................................. 2.5.2 Hides and Skins Collections, Sales, Processing Plants/ Tanneries and Traders ........................................................................... 2.5.2.1: Hides and Skins Collection and Sales ....................................................... 2.5.2.2: Installed Capacities and Current Status of Hides and Skin Processing Plants/Tanneries ................................................................... 2.5.3 Animal Feeds Production, Processing and Semen Production ..................... 2.5.3.1 Animal Feeds Production ........................................................................ 2.5.3.2 Animal Feed Processing Plants Year 2010/2011 .......................................... 2.5.3 Hay Production from Government Pasture Production Farms – 2012/2013 ... 2.5.4 Semen Production at National Articicial Insemination Centre (NAIC), Usa River, Arusha. .......................................................... 2.6 Milk Processing ..................................................................................... 2.6.1 Milk Processing Plants and Capacities in Tanzania Year 2012/2013 ............ 2.7 School Milk Feeding Programme ............................................................. 2.7.1 Implementation of School Milk Feeding Programme Year 2011/2012 ........... 2.8 Livestock Slaughter ................................................................................. 2.8.1 Livestock Slaughtered From July 2006 to June 2007 .................................... 2.9 Cattle Feedlotting by Zones and Private Sector ......................................... 2.10 Distribution of Heifers and Goats ............................................................ 2.10.1 Distribution of Heifers from Livestock Multiplication Units (LMUs), National Ranching Company (NARCO) and by Development Partners (NGOs) From 2005/2006 – 2011/12 ......................... 2.10.2 Distribution of Goats for Milk from NGOs Year 2005/2006 – 2011/2012 ....... 2.11 Tanzania Livestock Grading System .......................................................... 2.11.1 Tanzania Live Cattle Steer Grades ............................................................. 2.11.2 Tanzania Live Cattle Cow Grades ............................................................. 2.12 Livestock Markets under LINKS (Web: www. lmistz.net) .......................... 2.13 Livestock Markets – Primary, Secondary and Border Livestock Markets ..... 2.14 Livestock and Fisheries Imports and Export 2005 – 2011 ............................ 2.14.1 Livestock and Fisheries Imports .............................................................. 2.14.2 Livestock and Fisheries Export ................................................................ 2.15 Area and Livestock Population at National Ranching Company Ltd (NARCO) ........................................................................ 2.16. Privatization Status of TDL Factories and DAFCO Farms ........................... 2.17 Hatchery Production in the country ..................................................................... 2.18 Pasture Production ................................................................................. 2.18.1 Production of Hay from Government Institutions Year 2006/07 – 2012/13 .... 2.19 Charco dams Construction ...................................................................... 2.19.1 Charco dams constructed through DADPs Funding Year 2006/2007 ............

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24 25 25 26 26 27 28 28 28 30 31 32 32 34 34 35 35 37 38 38 38 39 39 40 42 43 62 62 65 70 71 71 72 72 74 74

2.19.2 Charco Dams Constructed through PADEP Funding Year 2006/2007 and 2008/2009 .................................................... 2.19.3 Water for Livestock Projects funded through DADPs 2012/2013 .................. CHAPTER 3.0: 3.1 3.1.1 3.1.2 3.1.3 3.1.4 3.1.5 3.1.6

FISHERIES SECTOR ................................................................

81 81 82 82 83

83 85 88

Trend of Fish Production - Tanzania (Mainland) From 2000 - 2012 ................ 88 Trend of Export performance from 2001-2012 ............................................ 89 Trend of Nile perch export performance from 2001-2012 ............................ 89 Summary of 2000, 2002, 2004, 2006, 2008, 2010 and 2012 Lake Victoria Frame Surveys ............................................................ 90 Catch trend on Tuna and Tuna like species fisheries 2001 -2011 (weight in metric tones) ............................................. 94 Estimated Fish Consumption .................................................................. 95 Trend of EEZ Fishing Vessels (Tuna and Tuna Like Species from 1998-2012 .................................................................... 96 Fishery products Processing Plants - 2012/2013 ........................................ 97 Certificate of Accreditation (No. T 0327) given to National Fish Quality Control Laboratorios – Nyegezi, Mwanza ................ 100 AQUACULTURE ....................................................................

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Number of Ponds for Fish Farming (Perege and Kambare) ....................... Production of Fish Farming (Perege and Kambare) .................................. Price of Fish under Fish Farming (Perege and Kambare) .......................... Production of Fish - Mwatiko type .......................................................... Production and Price of Mwani ............................................................... Number of Farmers Engaged in production of Mwani .............................

101 101 101 101 102 102

CHAPTER 3.2: 4.1 4.2 4.3 4.4 4.5 4.6

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Governrnment Subsidy – Veterinary Drugs, Vaccines and Disease Control Infrastructure ....................................................... Government Subsidy for the Control of Contagious Bovine Pleuropneumonia (CBPP) 2000/2001 to 2012/2013 ......................... Government Acaricide Subsidy Programme 2006/07 to 2011/2012 ............. Government Subsidy Programme in the Control of Rift Valley fever (RVF) ............................................................................. Government Subsidy Programme in the Control of Rabies 2005/06 to 2009/2010 ............................................................... Disease Control Infrastructure (Dip rehabilitation and Construction) funded through District Agricultural Development Plans (DADPs) and Participatory Agricultural Development Empowerment Project (PADEP) ....................... Total Dips – Tanzania Mainland 2010 - 2011 ...............................................

CHAPTER 3.1: 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9:

VETERINARY SERVICES

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4.7 4.8 4.9 4.10 4.11 4.12: 4.13:

Production of crabs ............................................................................... Production of Lulu ................................................................................ Centres for Production of Fish Fingerlets ................................................. Production of Fish Fingerlets ................................................................... Price of Fish Fingerlets ............................................................................ Aquaculture Production by Region and District - 2012/2013 ...................... Production of Fish Fingerlets - 2012/2013 .................................................

102 102 103 103 103 104 109

LIVESTOCK TRAINING INSTITUTES (LITA) .......................

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Number of Students Enrolled in Livestock Training Institutes: 2000-2012 ... Graduates from Livestock Training Institutes 2000 – 2012 ........................... Number of livestock Farmers Trained at Livestock Training Institutes ......... Number of livestock Farmers Trained at Farmers Training Centre (FTC) 2000/01- 2012 ...................................................................... Number of Livestock at Livestock Training Institutes ................................ Number of Employees in Livestock Training Institutes ............................. Staff Requirement by LITA for year 2012/13 ............................................. Established farmers Field School Tanzania Mainland 2006/07- 2011/ 12 .... Summary of Livestock Extension Staff Requirements and Distribution – Tanzania Mainland, 2012 .............................................

110 112 114

CHAPTER 5.0: 5.1 5.2 5.3 5.4 5.4 5.5 5.6: 5.7: 5.8

CHAPTER 6.0: 6.1: 6.2 6.3

VETERINARY COUNCIL OF TANZANIA (VCT) .....................

Number of Registered Veterinarians, Enrolled Para professional, Enlisted Para Professional Assistants and Registered Practice Facilities ........................................................................ Registered Veterinary Facilities ............................................................... Number of Registered Facilities per Region .............................................

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115 116 117 118 120 121 126

126 127 127

PREFACE This is the first statistics booklet to be published by the Ministry of Livestock and Fisheries Development MLFD following its establishment by the President through Government Notice No. 494 of 17 December, 2010. MLFD has the overall mandate of managing and coordinating the development of livestock and fisheries resources in the country. This booklet has been designed with the primary objective of providing basic data and information relating to the livestock and fisheries sectors to facilitate management through formulation, implementation, monitoring and evaluation of policy instruments – plans, policies, programmes and projects. The book contains important livestock and fisheries data. The livestock data include livestock and livestock products, animal health, pastoral systems development, market and trade, research and training. Moreover, fisheries data contained in this book include fish production including marine fisheries and fresh water fisheries, fish exports, employment, fish and sea weed farming. Last not the least is basic aquaculture data. It is our expectation that data and information contained in this book will be used by stakeholders as a strategic tool for effective management of the livestock and fisheries sectors and in arriving at effective policy decisions, sound and realistic development programmes and plans. MLFD is issuing this book with a conscious mind that there could be some useful information which might have been left out and areas that need comments and suggestions for improvements in future publications. The Ministry welcomes views, comments and suggestions from data users, providers and all livestock and fisheries stakeholders.

Charles Nyamrunda Permanent Secretary Ministry of Livestock Development and Fisheries January, 2014

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CHAPTER 1.0: BACKGROUND, MANDATE, ROLES AND FUNCTIONS, VISION MISSION AND CORE VALUES 1.1 Background of the Ministry The Ministry of Livestock and Fisheries Development was established by Government Notice No. 494 of 17 December, 2010. The Ministry is charged with the formulation of livestock and fisheries policies, strategies and monitoring their implementation so as to promote, facilitate and regulate the growth of modern livestock, fisheries and their products for sustainable socio-economic development. In the context of the current macro economic framework in Tanzania, the MLFD continues to fulfill its role in the implementation and realization of the Tanzania Development Vision 2025 goals and objectives, the Five Year Development Plans (FYDP 1) and the National Strategy for Growth and Reduction of Poverty (NSGRP II) targets through the implementation of the Ministry’s Medium Term Strategic Plan (MTSP).

1.2 Mandate of MLFD Ministry’s Mandates area as follows: (i) Preparation, implementation, monitor and review Livestock and Fisheries Policies and regulatory frameworks; (ii) Livestock and Livestock Land-use planning; (iii) Livestock and Fisheries Research, Training and Extension Services; (iv) Livestock and Fisheries Infrastructure Development; (v) Livestock production, Marketing, Veterinary services, Hides and Skins (vi) Fisheries Development; (vii) Fish Farming; (viii) Extra-Ministerial Departments and projects under the Ministry; (ix) Performance improvement and development of human resources under the Ministry; and (x) Government Agencies falling under the Ministry.

1.3 Roles and Functions of MLFD (i) Formulate and review sector policy and strategies; (ii) Develop and update strategies, plans and programs for livestock and fisheries development;

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(iii) Promote development of human resources for livestock development; (iv) Collect, process, analyze, store and disseminate livestock data and information; (v) Create an enabling environment for effective private sector participation; (vi) Enforce legal and regulatory framework for the control of animal, pests and diseases; (vii) Regulate quality safety and standards of animal products and livestock feeds; (viii) Improve and conserve livestock genetic resources; (ix) Promote development of appropriate livestock extension packages; (x) Conduct and disseminate research on appropriate technology for livestock production and disease control; (xi) Conduct training for extension staff, farmers and youth; (xii) Promote livestock and value added livestock products and marketing; (xiii) Coordinate policy analysis and monitor their implementation; (xiv) Promote integrated and sustainable use and management of rangelands, soil, water and vegetation; (xv) Promote production, utilization and conservation of animal feed resources (pasture and forage); (xvi) Monitor and evaluate sector performance; and (xvii) Ensure compliance to international standards and conventions.

1.4

The Ministry’s Current Vision and Mission Statements

1.4.1 Vision Statement To have a progressive world-class livestock and fisheries sector which are economically, socially and environmentally sustainable. 1.3.2 Mission Statement To promote, facilitate and regulate the growth of modern livestock, fisheries, aquaculture and their products for sustainable socio-economic development through building capacity of LGAs in provision of quality livestock and fishery technical and professional services and enhancing partnership with private sector.

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This will be done through the following: (i)

Supporting the Local Government Authorities (LGAs) to build their technical and professional capacity to efficiently deliver quality services to livestock farmers and fishers;

(ii)

Enhancing partnership with the private sector in the provision of quality livestock and fisheries products and services to the domestic and foreign market; and

(iii)

Undertaking and taking care of the needs of all livestock farmers/ fishers and end-users of livestock and fisheries products.

1.3.3 Core Values (i) (ii)

Integrity: High moral values, work ethics and honour. Courtesy: creation of friendly environment and high attention to the clients’ expectation. (iii) Accountability and Responsibility: obligation to perform duties as per set up rules and regulation. (iv) Customer Focus/Driven: Offering services by prioritizing customer needs. (v) Result Oriented: Endeavour to fulfill the expected goals in aspect of his/her duties and responsibility. (vi) Transparency: openness in ministerial activities (vii) Impartial: provision of services without discriminations.

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1.3.4

The Organisation Structure of the Ministry of Livestock Development and Fisheries MINISTER

PERMANENT SECRETARY

ADMINISTRATION AND HUMAN RESOURCES MANAGEMENT DIVISION

VETERINARY COUNCIL OF TANZANIA REGISTRAR

DIRECTOR

NATIONAL LIVESTOCK RESEARCH INSTITUTE MPWAPWA

POLICY AND PLANNING DIVISION

DIRECTOR

DIRECTOR

CENTRAL VETERINARY LABORATORY (TEMEKE)

FINANCE AND ACCOUNTS UNIT

DIRECTOR CHIEF ACCOUNTANT INTERNAL AUDIT UNIT

LEGAL SERVICES UNIT

CHIEF INTERNAL AUDITOR

PRINCIPAL LEGAL OFFICER

PROCUREMENT MANAGEMENT UNIT GOVERNMENT COMMUNICATION UNIT

DIRECTOR

PRINCIPAL OFFICER INFORMATION AND COMMUNICATION TECHNOLOGY UNIT PRINCIPAL COMPUTER SYSTEMS ANALYST

LIVESTOCK PRODUCTION AND MARKETING DIVISION

VETERINARY SERVICES DIVISION

DIRECTOR

DIRECTOR

LAND FOR LIVESTOCK DEVELOPMENT SECTION

LIVESTOCK PRODUCTS DEVELOPMENT SECTION

LIVESTOCK INFRASTRUCTURE DEVELOPMENT SECTION

TRANSBOUNDARY ANIMAL DISEASES CONTROL & ZOO-SANITARY SERVICES SECTION

RESEARCH TRAINING AND EXTENSION SERVICES DIVISION

AQUACULTURE DEVELOPMENT DIVISION

FISHERIES DEVELOPMENT DIVISION

DIRECTOR

DIRECTOR

DIRECTOR

FISHERIES RESEARCH AND TRAINING SECTION

FRESH WATER AQUACULTURE SECTION

FISHERIES RESOURCE DEVELOPMENT SECTION

LIVESTOCK RESEARCH AND TRAINING SECTION

VECTOR AND PARASITIC DISEASES CONTROL SECTION

EXTENSION AND REGISTRATION SECTION

VETERINARY PUBLIC HEALTH SERVICES SECTION

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MARINE AQUACULTURE SECTION

FISHERIES MARKETING AND QUALITY CONTROL SECTION

MONITORING, CONTROL AND SURVILLENCE SECTION

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2,396,472

3,692,328

110,658 154,883 105,014 196,348 168,971

124,290 179,911 153,022 247,395 263,019

79,421 126,375 85,758 100,896 139,876 203,826 154,787 73,901

115,594

120,629

161,555 170,050 112,377 131,081 290,936 277,985 271,322 136,368

176,410 56,418 44,155 126,210 176,970

Crop Only

259,365 203,448 188,545 205,750 195,281

Total Households

109 710 3,472 674 15,461

319 576 604 -

132

523 3,864 3,862 129 487

Livestock Only

Type of Holding

1,279,051

82,134 43,675 26,619 30,076 150,350 70,687 115,861 62,467

13,632 24,378 47,432 50,443 94,048

4,903

82,019 143,166 140,528 78,811 17,824

Crops and Livestock

195,416 202,315 142,147 168,871 356,170 343,414 347,494 191,518 4,619,892

305,466 242,349 223,931 261,125 262,337 151,724 25,216 154,318 212,872 212,358 295,465 325,386

Total Households

DIAS - District Integrated Agricultural Survey - 1998/1999 - National Report

Source:NSCA - National Sample Census of Agriculture - 1993/1994 - National Report

Singida Tabora Rukwa Kigoma Shinyanga Kagera Mwanza Mara Manyara Total

Dodoma Arusha Kilimanjaro Tanga Morogoro Pwani Dar es salaam Lindi Mtwara Ruvuma Iringa Mbeya

Region

NSCA 1993/1994

91,224 129,922 90,682 128,350 147,777 228,753 209,481 106,569 2,946,679

227,396 68,257 56,122 167,154 240,603 143,884 22,449 136,493 185,975 139,567 227,844 198,177

Crop Only

17,815

346 251 20 367 70 1,624 38 26

11,019 1,268 394 758 422 212 141 20 85 242 512

Livestock Only

Type of Holding

DIAS 1998/1999

1.1 Agricultural Households by Type of Holding 1.1.1 Agricultural Households by Type of Holding and Region (NSCA 1993/1994 & DIAS 1998/1999)

CHAPTER 2.0: LIVESTOCK SECTOR

1,655,398

103,846 72,142 51,445 40,154 208,323 113,037 137,975 84,923

78,070 163,073 166,541 93,577 20,976 7,418 2,555 17,684 26,877 72,706 67,379 126,697

Crops and Livestock

6

216,172

265,198 260,746 141,529 20,394 153,174 229,314 191,175 278,717 372,845 179,916

235,917

172,261

195,766 377,857 353,277 340,085 188,203

154,194

Kilimanjaro

Tanga Morogoro Pwani Dar es salaam Lindi Mtwara Ruvuma Iringa Mbeya Singida

Tabora

Rukwa

Kigoma Shinyanga Kagera Mwanza Mara

Manyara

3,095,982

53,923

135,655 200,778 253,817 197,780 103,309

114,069

148,046

178,406 224,222 129,349 15,844 138,034 204,241 141,619 205,903 232,209 96,837

57,719

30,513

233,709

Crop Only

40,891

3,776

911 2,300 3,049 1,156 2,412

416

296

1,477 1,500 2,086 1,130 159 112 132 0 1,195 516

1,951

15,709

608

Livestock Only 0

1,828

141

160 0 628 0 0

0

0

194 0 0 0 0 0 0 0 0 0

35

670

Pastoralists

Type of Holding

198,513 5,706,329

1,666,606

225,171 485,212 405,910 398,993 226,731

226,250

288,447

330,779 298,421 174,523 35,160 166,898 249,373 210,281 306,629 454,824 216,992

242,708

205,547

358,969

Total Households

96,354

59,040 174,769 95,783 141,149 82,482

57,776

87,575

85,121 35,024 10,094 3,420 14,981 24,961 49,424 72,814 139,441 82,563

156,467

107,966

89,402

Crops and Livestock

Source: NSCA - National Sample Census of Agriculture 2002/2003 – National Report

4,805,317

154,858

Arusha

Total

323,719

Total Households

Dodoma

Region

NSCA 2002/2003

3,422,072

60,611

157,416 224,062 289,238 221,907 104,928

137,109

163,699

213,940 253,187 146,465 21,786 148,721 214,234 147,596 218,110 247,796 100,468

56,710

37,985

256,105

Crop Only

55,929

5,224

463 523 2,110 961 805

272

283

3,131 1,317 1,785 2,986 79 317 59 278 1,458 617

1,700

31,097

463

Livestock Only

3,917

0

0 0 2,197 251 0

0

0

233 140 45 68 0 0 0 0 0 206

0

778

0

Pastoralists

Type of Holding

NSCA 2007/2008

1.1.2 Agricultural Households by Type of Holding and Region (NSCA 2002/2003 & NSCA 2007/2008)

2,224,410

132,677

67,292 260,627 112,365 175,874 120,998

88,868

124,464

113,476 43,777 26,228 10,320 18,098 34,822 62,626 88,241 205,570 115,701

184,298

135,687

102,402

Crops and Livestock

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1945 6,082,000 2,216,000 2,805,000 7,300

1954 6,488,000 3,024,000 4,410,000 13,100

1964 8,783,000 2,726,000

Category/ Year Cattle Sheep Goats Pigs

Category/ Year Cattle Sheep

1935 4,793,000 1,912,000 2,566,000 8,300

Type of livestock Cattle Sheep Goats Pigs

Category/ Year Cattle Sheep Goats Pigs

1919 3,147,442 1,362,444 2,043,665 1,917

Type of livestock Cattle Sheep Goats Pigs

1965 9,997,000 2,846,000

1955 6,755,000 2,739,000 3,878,000 12,500

1946 6,420,000 2,366,000 3,165,000 7,200

1937 5,035,000 1,646,000 2,615,000 9,500

1925 4,472,000 2,003,000 2,329,000 3,000

1966 10,500,000 2,850,000

1956 7,005,000 2,950,000 4,117,000 11,500

1947 6,370,000 2,316,000 3,318,000 9,900

1938 5,087,000 1,849,000 2,912,000 10,400

1926 4,479,000 1,784,800 2,677,200 2,000

1971 8,000,000 2,600,000

1957 7,057,000 2,885,000 4,233,000 18,500

1948 6,425,000 2,153,000 2,971,000 11,100

1939 5,190,000 1,720,000 2,910,000 10,700

1927 4,705,625 1,911,416 2,867,124 2,115

1928 4,813,063 1,961,498 2,942,246 4,355 Year 1940 5,263,000 1,804,000 2,931,000 12,700 Year 1949 6,373,000 2,214,000 3,523,000 14,700 Year 1958 7,417,000 2,806,000 4,125,000 17,300 Year 1978 12,000,000 3,600,000

Year

NSCA - National Sample Census of Agriculture 2007/2008 – National Report

2.2 Livestock Population by Years 2.2.1 Cattle, Sheep, Goats and Pig Population Year 1919 – 1993



1979 12,101,926 3,565,323

1959 7,720,000 2,874,000 4,335,000 14,600

1950 6,113,000 2,445,000 3,281,000 15,600

1941 5,592,000 1,979,000 2,840,000 9,600

1929 4,867,000 2,135,000 2,907,000 2,400

1984 12,500,000 3,100,000

1960 7,940,000 2,871,000 4,267,000 15,600

1951 6,263,000 2,339,000 3,478,000 15,100

1942 5,888,000 1,995,000 3,249,000 10,400

1930 5,170,162 2,262,102 3,259,443 3,155

1993 13,600,000 2,700,000

1961 8,016,000 2,986,000 4,448,000 22,900

1952 6,474,000 2,509,000 3,532,000 12,500

1943 5,844,000 2,208,000 2,852,000 8,600

1931 5,336,000 2,281,000 3,375,000 5,100

1994 15,644,806 3,250,708

1962 8,176,000 3,080,000 4,500,000 21,000

1953 6,633,000 3,066,000 4,384,000 15,800

1944 5,745,000 2,019,000 2,801,000 7,300

1933 4,853,000 1,935,000 2,840,000 4,900

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4,057,000 21,100

4,252,000 16,000

4,277,000 20,500

Dodoma Arusha Kilimanjaro Tanga Morogoro Pwani Dar es salaam Lindi Mtwara Ruvuma Iringa Mbeya Singida Tabora Rukwa Kigoma Shinyanga

Kagera

4,300,000 -

5,500,000 -

5,483,777 -

6,400,000 280,000

1,245, 55,934 48,882 442,918 896,928 1,382,055 547,286 547,420 32,097 1,866,027

1,245 58,080 52,341 449,749 911,069 1,382,333 547,286 548,111 32,097 1,866,027 384,031

48,094

51,312

419,730

1,580,433 1,349,572 340,604 1,068,129 326,274

Indigenous

1,600,275 1,399,189 485,540 1,087,459 326,632

Total Cattle

7,325

3,459 3,422 10,077 691 -

1,462

13,907 36,421 102,098 12,486 358

Improved Dairy

NSCA 1993/1994 (30th October,1993)

28,374

2,146 3,409 4,064 278 -

1,756

5,935 13,196 42,838 6,844 -

Improved Beef

8,600,000 430,000

9,202,404 -

667,745

774,588 1,507,340 568,689 276,739 102,165 101,593 14,236 6,194 20,413 79,970 626,424 756,722 1,538,464 1,626,130 384,410 128,358 3,778,255

Total Cattle

652,572

15,173

Indigenous Improved Cattle Cattle 773,811 777 1,388,668 118,672 346,194 222,495 251,064 25,675 101,934 231 100,143 1,450 3,657 10,579 5,303 891 19,968 445 76,232 3,738 612,256 14,168 732,139 24,583 1,534,150 4,314 1,625,226 904 381,234 3,176 128,176 182 3,776,970 1,285

DIAS 1998/1999 (as of 31st May 1999)

Total Number of Cattle (Heads) by Type and Region (NSCA 1993/1994 & DIAS 1998/1999)

Region/Year

2.2.2

Source: Ministry of Livestock Development 2006 (100 Years Report).

Goats Pigs

9

746,966

1,652,153 746,247

1,651,456 719

109,537

-

697 16,394,969

1,272,537

2,163,997

1,025,388 1,532,103 351,191

350,210 455,985 110,360 4,660 2,019 16,383 105,884 401,773 898,050 1,255,118 1,566,169 503,345 421,613

Tanga Morogoro Pwani Dar es salaam Lindi Mtwara Ruvuma Iringa Mbeya Singida Tabora Rukwa Kigoma

Indigenous Cattle

Dodoma Arusha Kilimanjaro

Region/Year

298 26 1,140 302 64 0 181 1,659 2,045 925 671 274 0

Beef 1,856 2,853 5,454 27,683 5,052 10,809 8,233 998 775 15,111 17,522 40,982 1,115 1,851 1,107 748

Dairy 4,645 57,744 137,910

NSCA 2002/2003 (as of 1st October 2003)

378,191 461,063 122,309 13,195 3,081 17,158 121,176 420,954 941,077 1,257,158 1,568,691 504,726 422,361

1,031,889 1,592,700 494,555

Total

688,114 628,475 225,610 6,108 26,450 17,415 61,768 459,275 787,912 1,584,313 2,123,645 799,700 154,000

1,166,715 1,716,514 321,171

Indigenous Cattle

15,943,827

1,271,833

2,162,297

2,377 1,874 1,141 1,919 135 305 1,420 1,498 9,582 1,115 7,075 562 505

41,639 9,414 28,507 24,372 4,199 394 12,177 14,258 72,724 3,409 2,370 4,149 3,077

Improved Cattle Beef Dairy 15,313 3,473 18,486 78,637 10,980 161,984

NSCA 2007/2008 (as of 1st October 2010)

2.2.3 Total Number of Cattle (Heads) by Type and Region (NSCA 2002/2003 & NSCA 2007/2008)

Manyara Total 13,617,595 13,315,632 192,426 Source: NSCA - National Sample Census of Agriculture - 1993/1994 - National Report DIAS - District Integrated Agricultural Survey - 1998/99 - National Report

Mara

Mwanza

732,130 639,763 255,258 32,399 30,784 18,114 75,365 475,031 870,218 1,588,837 2,133,090 804,411 157,582

Total 1,185,501 1,813,637 494,135

451,142

704

1,700

10

61,238

109,918 17,034 20,418

Tabora Rukwa Kigoma

32,944 54,745

Ruvuma Iringa

377,387

25,743

Mtwara

Singida

40,430

16,825

Mbeya

34,048

4,472

274,477 144,892 230,513

676,518

293,253

285,695 220,947

182,051

1,238,433 597,342 606,360 231,437

954,610

Goats

469,233 206,904 176,826 94,330

274,560

Sheep

Arusha Kilimanjaro Tanga Morogoro Pwani Dar es salaam Lindi

Dodoma

Region/Year

NSCA 1993/1994 (30th October , 1993)

245,723 13,020 42,768

451,823

60,849

49,801 97,984

16,566

712,617 265,746 85,679 57,260 7,845 1,155 7,438

120,525

Sheep

903,652 241,546 453,614

1,052,715

242,411

537,844 327,586

201,585

1,472,646 578,891 317,925 228,461 65,659 27,497 69,371

621,406

Goats

1998/1999 DIAS (as of 31st May 1999)

2.2.4 Total Number of Sheep and Goats by Region

Shinyanga 2,591,532 1,375 11,198 2,604,105 Kagera 869,424 0 17,050 886,474 Mwanza 1,710,309 0 7,882 1,718,191 Mara 1,090,007 264 8,797 1,099,068 Manyara 1,163,051 1,139 13,761 1,177,951 Total 16,424,574 20,526 390,973 16,836,073 Source: NSCA - National Sample Census of Agriculture 2002/2003 – National Report NSCA - National Sample Census of Agriculture 2007/2008 – National Report

10,573 129 2,277 5,671 2,115 95,053

235,213 36,073 51,805

309,938

66,031

24,458 67,424

25,275

1,024,149 257,260 164,355 95,680 24,334 1,290 11,905

187,244

Sheep

718,996 292,849 425,604

684,420

358,789

309,595 327,476

196,675

1,650,445 572,577 514,620 243,175 98,604 22,292 110,505

797,481

Goats

2002/2003 NSCA (as of 1st October 2003)

3,635,260 813,212 1,970,901 1,682,569 1,648,488 20,517,616

3,651,252 837,204 1,976,972 1,691,117 1,662,451 21,125,252

352,543 43,577 116,534

477,772

98,222

20,535 56,448

16,794

1,402,236 355,961 216,983 118,792 43,141 20,888 4,908

270,299

Sheep

942,926 428,247 500,019

839,169

544,473

344,738 298,887

234,564

1,818,450 644,334 718,625 377,572 172,769 53,688 159,322

915,356

Goats

2007/2008 NSCA (as of 1st October 2010)

5,419 23,863 3,794 2,877 11,848 512,583

11

2,692,715

404,955 60,576 144,490 140,108 8,641,222

1,112,590 526,938 627,202 363,485 3,488,535

827,930 63,905 165,866 194,035 11,643,095

2,026,844 830,901 863,641 578,900 -

Source: NSCA - National Sample Census of Agriculture - 1993/1994 DIAS - District Integrated Agricultural Survey - 1998/99 - National Report NSCA - National Sample Census of Agriculture 2002/2003 – National Report NSCA - National Sample Census of Agriculture 2007/2008 – National Report

Total

Shinyanga Kagera Mwanza Mara Manyara 3,945,264

517,144 90,321 121,978 194,073 439,314 11,756,526

1,277,929 699,301 829,997 634,044 991,152 5,714,975

739,829 76,713 224,403 418,077 640,319

15,085,150

1,963,056 816,260 919,753 913,524 1,479,417

2.2.5

Total Number of Pigs by Region

Region/Year

Dodoma Arusha Kilimanjaro

NSCA 1993/1994 (30th October,1993)

1998/1999 DIAS (as of 31st May 1999)

2002/2003 NSCA (as of 1st October 2003)

2007/2008 NSCA (as of 1st October 2010)

Pigs

Pigs

Pigs

Pigs

22,773 16,634 14,273

Tanga Morogoro

Mtwara Ruvuma Iringa Mbeya Singida Tabora Rukwa Kigoma Shinyanga Kagera Mwanza Mara Manyara Total Source:

2.2.6

43,835 7,958 155,070

116,854 27,475 123,696

6,804

2,715

6,281

17,155

40,089

50,449

44,986

88,462

-

3,580 7,199

3,673 12,993

14,458 35,479

6,604

2,148

4,956

7,063

9,968 108,382 44,622 127,244 2,869 942 9,178 1,288 18,010 429,682

5,812 182,346 118,709 132,257 22,093 30,407 22,340 12,434 37,590 54,091 22,486 17,481

6,293 134,951 180,904 229,465 6,375 6,286 58,754 23,698 3,266 145,761 610 2,409 50,699 1,129,223

10,998 183,276 241,829 346,466 48,935 25,668 80,608 18,286 14,753 64,432 17,277 1,741 96,485 1,581,396

Pwani Dar es salaam Lindi

12,724 33,462 51,372

821,695

NSCA - National Sample Census of Agriculture - 1993/1994 DIAS - District Integrated Agricultural Survey - 1998/99 - National Report NSCA - National Sample Census of Agriculture 2002/2003 – National Report NSCA - National Sample Census of Agriculture 2007/2008 – National Report

Total Number of Chicken by Region

Region/Year

Dodoma Arusha Kilimanjaro Tanga Morogoro Pwani Dar es salaam Lindi Mtwara Ruvuma

NSCA 1993/1994 (30th October,1993)

1998/1999 DIAS (as of 31st May 1999)

2002/2003 NSCA (as of 1st October 2003)

2007/2008 NSCA (as of 1st October 2010)

Chicken

Chicken

Chicken

Chicken

1,207,072 937,728 984,016

766,572 901,989 1,381,225

1,825,867 931,198 1,561,340

1,947,024 955,966 1,657,479

957,660

764,379

1,788,767

2,099,582

1,064,450

1,547,503 816,766 622,988 704,201 777,543 1,799,158

2,100,861 1,420,152 525,052 1,261,290 710,132 1,555,617

2,766,861 1,875,732 1,211,340 1,574,475 1,496,854 1,701,242

787,518 762,283 676,754 971,343

12

Iringa Mbeya Singida Tabora Rukwa Kigoma Shinyanga Kagera Mwanza Mara Manyara Total Source:

1,392,514 1,629,028 1,261,357 1,009,639 552,885 411,462 1,957,442 870,101 2,156,862 1,095,109 20,685,222

1,644,795 1,357,834 1,247,658 2,584,112 730,617 762,577 3,747,129 1,498,958 2,873,621 1,448,282 27,977,907

2,241,683 2,559,913 1,658,178 2,507,469 1,122,432 797,537 2,979,590 918,858 2,620,818 1,521,166 699,345 33,307,265

NSCA - National Sample Census of Agriculture - 1993/1994 DIAS - District Integrated Agricultural Survey - 1998/99 - National Report NSCA - National Sample Census of Agriculture 2002/2003 – National Report NSCA - National Sample Census of Agriculture 2007/2008 – National Report

13

2,343,579 3,574,172 1,615,779 2,939,481 1,590,761 871,134 4,890,370 1,346,650 3,329,364 1,802,523 1,076,179 42,666,543

14 941,887 1,289,461 1,570,246 529,405 423,596

Mbeya

Singida

Tabora

Rukwa

Kigoma

1,200,234

Mara

1,190,404 17,700,000

1,201,701

1,822,592

888,439

2,930,179

423,663

536,085

1,571,802

1,299,765

942,699

131,777 442,106

3,138 17,187

13,317

463,558 153,101

378,990

495,571

1,699,820

1,094,106

2004/2005

1,228,957 18,500,000

1,212,578

1,894,295

893,425

2,999,821

467,346

556,765

1,698,360

1,368,071

979,911

149,989 461,683

3,990 17,202

18,378

589,810 170,987

379,819

496,980

1,749,816

1,161,817

2005/2006

Estimates

Source: Ministry of Livestock and Fisheries Development

1,189,185 17,700,000

1,819,890

Mwanza

Manyara Total

887,456

Kagera

2,937,140

131,475 481,529

Ruvuma Iringa

Shinyanga

3,108 17,172

Lindi Mtwara

462,308 150,704

Morogoro Pwani 13,256

378,663

Dar es salaam

495,063

Tanga

1,695,225

Arusha

Kilimanjaro

1,082,997

2003/2004

Dodoma

Region/Year

1,292,896 18,500,000

1,213,740

1,896,012

897,709

2,916,267

478,969

557,747

1,674,920

1,372,378

984,324

151,382 463,261

4,197 17,217

18,440

590,066 172,900

380,643

500,590

1,750,014

1,166,328

2006/2007

1,662,451 21,125,252

1,691,117

1,976,972

837,204

3,651,252

157,582

804,411

2,133,090

1,588,837

870,218

75,365 475,031

30,784 18,114

32,399

639,763 255,258

732,130

494,135

1,813,637

NSCA 2007/2008 1,185,501

2.3: Livestock Population Annual Estimates Reported between 2003/2004 to 2006/2007 and Actual 2007/2008 2.3.1: Cattle

15 723,964 291,009 358,850

Tabora

Rukwa

Kigoma

12,500,000

12,500,000

991,333

702,349 831,457 634,981

1,272,538

392,203

289,182

708,966

1,693,401

332,500

327,695

313,640

195,992

107,700

22,608

509,034 244,169 97,837

553,635

721,750 1,557,030

2004/2005

13,100,000

991,423

813,893 885,929 635,456

1,287,343

395,662

287,366

794,003

1,698,217

349,397

348,805

408,682

199,652

106,677

52,768

506,264 294,667 97,455

574,165

761,668 1,610,508

2005/2006

Estimates

Source: Ministry of Livestock and Fisheries Development 2013

Total

991,242

1,688,908

Singida

Manyara

355,530

Mbeya

720,821 830,723 634,512

327,585

Iringa

1,277,733

318,611

Ruvuma

Kagera Mwanza Mara

196,333

Mtwara

Shinyanga

108,733

Lindi

22,449

521,819 243,671 98,219

Daressalaam

533,805

Tanga Morogoro Pwani

721,831 1,533,652

2003/2004

Kilimanjaro

Dodoma Arusha

Region/Year

2.3.2: Goats

13,100,000

991,515

815,304 891,908 635,920

1,276,149

399,224

285,561

799,405

1,702,878

346,324

327,915

487,738

205,317

105,663

52,929

503,509 295,167 97,076

574,695

721,511 1,584,292

2006/2007

15,085,150

1,479,417

816,260 919,753 913,524

1,963,056

500,019

428,247

942,926

839,169

544,473

298,887

344,738

234,564

159,322

53,688

718,625 377,572 172,769

644,334

NSCA 2007/2008 915,356 1,818,450

16 3,500,000

3,500,000

447,061

309,204 142,458 36,102 52,728 327,667 91,161 122,410 193,538

67,253

25,567 24,828 67,481

12,015

1,311

187,398 907,787 236,556 158,416 65,794 23,265

2004/2005

3,500,000

450,986

307,837 135,015 36,257 53,196 316,512 91,585 123,180 197,540

67,873

25,715 25,015 67,510

12,071

4,322

187,476 910,781 241,392 155,528 67,460 22,749

2005/2006

Estimates

640,319 5,714,975

3,600,000

477,772 352,543 43,577 116,534 739,829 76,713 224,403 418,077

98,222

16,794 20,535 56,448

4,908

20,888

270,299 1,402,236 355,961 216,983 118,792 43,141

NSCA 2007/2008

457,946

308,479 112,208 36,319 53,668 387,525 92,010 133,851 199,035

68,498

25,863 25,204 67,538

12,126

6,333

187,553 914,528 276,337 152,692 60,044 22,243

2006/2007

Source: Ministry of Livestock and Fisheries Development 2013

Total

443,171

Manyara

66,639

Mbeya 303,570 145,479 36,134 52,264 321,153 90,740 129,443 195,603

25,420 24,642 67,452

Singida Tabora Rukwa Kigoma Shinyanga Kagera Mwanza Mara

11,960

Mtwara Ruvuma Iringa

1,300

187,321 905,569 231,830 161,358 75,159 23,793

2003/2004

Lindi

Daressalaam

Dodoma Arusha Kilimanjaro Tanga Morogoro Pwani

Region/Year

2.3.3: Sheep

17 101,706 116,986 6,393 6,344 51,313 22,313

Iringa

Mbeya Singida Tabora

Rukwa

Kigoma

800,000

41,189

2,432

746

92,687

800,000

40,600

2,455

720

90,816

3,330

22,934

51,668

115,666 6,411 6,402

112,512

111,032

5,000 6,415

12,773

3,732

31,372

6,394

120,316

40,340 9,112

2004/2005

1,200,000

62,186

3,479

771

145,237

3,363

22,562

57,442

211,193 6,429 6,461

223,322

136,877

5,022 6,477

15,664

3,761

35,439

6,452

199,527

40,146 8,190

2005/2006

Estimates

Source: Ministry of Livestock and Fisheries Development

Total

Manyara

Mara

Mwanza

Kagera

3,298

114,590

Ruvuma

Shinyanga

4,978 6,353

12,882

3,702

41,547

6,337

114,601

41,569 8,034

2003/2004

Lindi Mtwara

Daressalaam

Pwani

Morogoro

Tanga

Kilimanjaro

Dodoma Arusha

Region/Year

2.3.4: Pigs

1,200,000

62,691

3,503

730

153,628

5,396

22,196

57,011

216,030 6,447 6,521

204,135

137,525

5,044 6,539

15,556

3,792

32,831

6,510

195,659

48,987 9,269

2006/2007

1,581,396

96,485

1,741

17,277

64,432

14,753

18,286

80,608

346,466 48,935 25,668

241,829

183,276

7,063 10,998

35,479

14,458

88,462

17,155

123,696

NSCA 2007/2008 116,854 27,475

2.3.5 Chickens Estimates

Region/Year

2003/2004

Dodoma

2004/2005

2005/2006

2006/2007

2007/2008

1,409,053

1,422,394

1,735,888

1,729,535

1,843,332

735,069

738,956

842,860

846,980

950,716

Kilimanjaro

1,263,602

1,365,868

1,568,138

1,570,410

1,572,686

Tanga

1,391,734

1,394,707

1,797,684

1,700,667

1,803,654

Morogoro

1,791,424

1,782,030

2,072,678

2,063,368

2,054,099

Pwani

1,196,724

1,173,682

1,351,096

1,328,733

1,406,814

528,161

531,289

534,435

537,600

540,784

1,151,957

1,242,693

1,233,498

1,224,370

1,215,391

Mtwara

714,057

718,005

721,974

725,965

729,978

Ruvuma

1,460,597

1,265,594

1,370,607

1,175,636

1,580,681

Iringa

1,724,869

1,748,060

2,051,256

2,054,456

2,257,668

Mbeya

1,746,797

1,833,748

2,020,766

2,201,851

2,595,002

Singida

1,664,017

1,469,524

1,655,759

1,621,660

1,687,583

Tabora

1,817,669

1,848,223

2,019,127

2,140,377

2,361,969

Rukwa Kigoma

1,128,181 813,421

1,113,946 709,348

1,109,728 825,319

1,105,525 821,335

1,101,439 827,394

Shinyanga

1,916,201

1,902,816

2,001,435

2,065,058

2,962,685

722,609

726,375

830,157

833,955

937,768

Mwanza

1,803,700

1,812,674

2,116,358

2,101,853

2,388,992

Mara

1,303,964

1,486,957

1,421,142

1,423,518

1,447,081

716,194

713,111

720,095

727,148

734,284

27,000,000

27,000,000

30,000,000

30,000,000

33,000,000

Arusha

Daressalaam Lindi

Kagera

Manyara Total

Source: Ministry of Livestock and Fisheries Development 2013

2.3.6 Livestock Population by Region and Districts – NSCA 2007/2008 Region

District

Dodoma

 

 

Cattle

Sheep

Goats

Pigs

Chicken

 

 

 

 

 

Kondoa

302,067

48,642

260,088

1,555

511,736

 

Mpwapwa

156,031

45,556

179,378

37,015

308,929

 

Kongwa

115,125

30,692

105,730

56,498

312,430

 

Dodoma Urban

175,827

25,299

103,726

10,373

323,700

 

Bahi

242,455

84,025

148,463

1,391

203,862

 

Chamwino

193,996

36,085

117,970

10,024

286,367

 

 

1,185,501

270,299

915,356

116,854

1,947,024

Arusha

 

 

 

 

 

 

 

Monduli

440,145

308,837

428,714

2,572

131,665

 

Arusha

22,375

15,002

24,080

4,390

18,284

18

 

Karatu

153,283

87,692

174,582

17,913

154,976

 

Ngorongoro

708,659

599,099

 

Longido

193,866

152,493

655,087

0

42,417

232,293

1,271

20,802

 

Arusha Rural

179,278

148,582

141,177

597

199,343

 

Meru

116,031

90,531

162,516

732

388,478

 

Total

Kilimanjaro

 

1,813,637

1,402,236

1,818,450

27,475

955,966

 

 

 

 

 

 

Rombo

41,725

63,236

172,845

20,430

209,706

 

Mwanga

47,197

21,303

42,503

258

159,283

 

Same

134,502

69,099

91,722

6,690

220,502

 

Moshi Rural

138,965

138,965

214,052

70,646

617,620

 

Hai

64,405

25,779

56,246

10,416

241,215

 

Siha

67,342

37,579

66,967

15,257

209,155

 

Total

494,135

355,961

644,334

123,696

1,657,479

Tanga

 

 

 

 

 

 

 

Lushoto

91,288

66,201

60,394

697

336,116

 

Korogwe

103,540

26,131

104,945

2,950

200,478

 

Muheza

30,947

9,078

69,735

6,086

471,123

 

Tanga

46,072

7,792

41,678

2,718

138,126

 

Pangani

28,285

7,071

34,262

73

142,006

 

Handeni

79,662

7,029

143,444

3,515

384,383

 

Kilindi

185,070

66,528

151,932

168

238,007

 

Mkinga

167,266

27,153

112,235

948

189,345

 

Total

732,130

216,983

718,625

17,155

2,099,582

Morogoro

 

 

 

 

 

 

 

Kilosa

84,768

11,247

93,099

16,245

773,327

 

Morogoro

55,880

22,324

62,900

11,653

391,582

 

Kilombero

149,537

42,333

79,464

28,174

610,575

 

Ulanga

93,795

27,200

21,847

7,019

427,735

 

Morogoro Urban

19,099

6,478

13,222

1,646

75,899

 

Mvomero

236,685

9,211

107,038

23,724

487,744

 

Total

639,764

118,792

377,572

88,462

2,766,861

Pwani

 

 

 

 

 

 

 

Bagamoyo

157,203

30,577

111,782

5,207

500,414

 

Kibaha

47,610

2,798

20,984

9,251

270,449

 

Kisarawe

9,631

5,709

12,226

0

271,854

 

Mkuranga

3,905

651

16,163

0

503,444

 

Rufiji

18,603

3,406

10,743

0

262,449

 

Mafia

18,306

0

872

0

67,122

 

Total

255,258

43,141

172,769

14,458

1,875,732

19

Dar es Salaam

 

 

 

 

 

 

 

Kinondoni

 

Ilala

11,099

19,572

28,850

14,658

299,559

9,414

682

9,414

14,599

623,125

 

Temeke

11,885

633

15,424

6,222

288,656

 

Total

32,398

20,888

53,688

35,479

1,211,340

Lindi

 

 

Kilwa

 

 

 

 

 

 

19,080

1,971

59,764

0

485,205

Lindi Rural

6,200

372

65,352

0

415,052

 

Nachingwea

4,232

1,035

16,270

3,950

315,149

 

Liwale

58

88

5,407

0

135,413

 

Ruangwa

987

1,443

10,859

3,113

204,873

 

Lindi Urban

226

0

1,671

0

18,782

 

Total

30,784

4,908

159,322

7,063

1,574,475

Mtwara

 

 

 

 

 

 

 

Mtwara Rural

0

2,482

41,822

0

202,532

 

Newala

448

2,463

95,848

2,463

330,653

 

Masasi

9,011

2,596

25,507

6,720

434,530

 

Tandahimba

697

8,131

52,036

0

328,012

 

Mtwara Urban

516

0

2,224

794

38,210

 

Nanyumbu

7,442

1,121

17,128

1,020

162,918

 

Total

18,115

16,794

234,564

10,998

1,496,854

Ruvuma

 

 

 

 

 

 

 

Tunduru

5,790

3,158

29,216

0

335,059

 

Songea Rural

17,509

1,792

72,317

29,807

364,356

 

Mbinga

41,921

10,532

179,870

138,568

715,763

 

Songea Urban

3,152

595

9,574

4,936

77,751

 

Namtumbo

6,993

4,458

53,761

9,965

208,313

 

Total

75,366

20,535

344,738

183,276

1,701,242

Iringa

 

 

Iringa Rural

 

 

 

 

 

 

59,915

5,839

37,255

35,170

384,927

Mufindi

107,186

7,315

36,577

78,084

535,454

 

Makete

39,219

8,763

55,740

8,476

150,842

 

Njombe

132,919

17,249

63,754

44,814

560,086

 

Ludewa

38,040

3,296

47,731

23,998

210,572

 

Iringa Urban

450

279

1,535

1,054

8,123

 

Kilolo

52,589

6,779

36,626

36,298

352,705

 

Njombe Mji

 

Total

Mbeya

 

   

44,714

6,928

19,669

13,936

140,870

475,031

56,448

298,887

241,829

2,343,579

 

 

 

 

 

Chunya

141,124

23,229

105,531

65,566

485,816

Mbeya (R)

104,708

15,436

111,232

31,190

448,429

20

 

Kyela

86,903

0

1,693

44,129

370,748

 

Rungwe

102,445

21,224

17,346

48,569

507,529

 

Ileje

59,888

6,602

64,839

10,060

200,726

 

Mbozi

 

Mbarali

194,103

5,959

155,509

117,483

1,094,809

171,200

24,980

79,229

20,564

359,179

 

Mbeya Urban

9,848

792

9,094

8,905

106,936

 

Total

870,218

98,222

544,473

346,466

3,574,172

Singida

 

 

 

 

 

 

 

Iramba

356,005

165,596

249,923

42,073

539,761

 

Singida Rural

400,510

127,455

312,804

3,672

717,202

 

Manyoni

767,273

162,982

212,783

3,190

257,850

 

Singida Urban

 

Total

Tabora

 

 

65,049

21,739

63,659

0

100,966

1,588,837

477,772

839,169

48,935

1,615,779

 

 

 

 

 

Nzega

490,668

56,200

194,538

8,450

727,061

 

Igunga

685,701

195,024

364,252

5,102

552,615

 

Uyui

426,361

59,489

164,382

1,006

529,241

 

Urambo

256,573

9,798

110,681

5,664

637,604

 

Sikonge

205,238

25,905

67,208

3,113

296,405

 

Tabora Urban

 

Total

Rukwa

 

 

68,549

6,128

41,865

2,332

196,555

2,133,090

352,543

942,926

25,668

2,939,481

 

 

 

 

 

Mpanda

256,844

21,168

192,985

19,581

611,238

 

Sumbawanga Rural

316,281

16,433

146,097

43,221

586,864

 

Nkasi

183,909

5,363

62,011

12,290

275,416

 

Sumbawanga Urban

47,377

613

27,154

5,516

117,242

 

Total

804,411

43,577

428,247

80,608

1,590,761

Kigoma

 

 

 

 

 

 

 

Kibondo

39,397

2,987

176,634

3,361

174,581

 

Kasulu

76,661

16,351

192,607

8,919

341,469

 

Kigoma Rural

39,324

95,459

119,433

4,386

329,500

 

Kigoma Urban

2,200

1,736

11,345

1,621

25,584

 

Total

157,581

116,534

500,019

18,286

871,134

Shinyanga

 

 

 

 

 

 

 

Bariadi

741,197

140,563

429,914

0

1,030,549

 

Maswa

460,350

150,818

296,845

1,812

584,240

 

Shinyanga Rural

387,253

64,744

148,964

1,881

627,154

 

Kahama

708,629

44,615

298,389

7,572

1,135,471

 

Bukombe

427,231

14,828

137,685

326

590,172

21

 

Meatu

 

Shinyanga Urban

 

Kishapu

439,190

150,637

354,256

0

408,141

68,568

14,671

46,297

2,328

89,256

418,834

158,954

250,705

834

425,387

3,651,251

739,829

1,963,056

14,753

4,890,370

 

 

 

 

 

318,166

35,843

189,689

15,129

303,270

 

Total

Kagera

 

 

Karagwe

 

Bukoba Rural

36,684

5,009

74,400

15,617

167,068

 

Muleba

61,796

8,770

144,599

7,138

179,066

 

Biharamulo

77,405

2,117

101,874

2,745

154,575

 

Ngara

50,356

4,379

165,234

7,985

181,591

 

Bukoba Urban

5,061

518

4,774

3,106

16,852

 

Missenyi

160,545

2,854

36,730

12,612

98,407

 

Chato

127,191

17,224

98,960

102

245,821

 

Total

837,204

76,713

816,260

64,432

1,346,650

Mwanza

 

 

 

 

 

 

 

Ukerewe

66,039

368

79,118

829

219,208

 

Magu

485,056

61,683

183,145

1,903

591,296

 

Kwimba

368,201

56,528

122,393

2,558

462,457

 

Sengerema

281,969

39,472

161,327

4,453

625,068

 

Geita

497,665

33,787

244,817

3,323

970,683

 

Misungwi

250,674

30,126

104,080

1,877

358,133

 

Ilemela

27,367

2,440

24,874

2,334

102,520

 

Total

1,976,971

224,403

919,753

17,277

3,329,364

Mara

 

 

 

 

 

 

 

Tarime

315,979

110,880

185,499

0

464,238

 

Serengeti

330,765

81,336

166,992

0

322,123

 

Musoma Rural

388,022

74,897

266,802

1,203

452,692

 

Bunda

494,415

109,999

211,284

194

324,962

 

Musoma Urban

1,731

119

1,511

0

5,551

 

Rorya

160,206

40,847

81,436

344

232,956

 

Total

1,691,118

418,077

913,524

1,741

1,802,523

Manyara

 

 

 

 

 

 

 

Babati

419,544

116,417

357,623

19,587

380,369

 

Hanang

375,144

133,695

256,662

15,310

250,811

 

Mbulu

295,708

120,910

232,202

51,198

242,648

 

Simanjiro

358,968

217,926

480,831

4,053

112,730

 

Kiteto

213,088

51,371

152,099

6,337

89,619

 

Total

1,662,452

640,319

1,479,417

96,485

1,076,179

21,125,251

5,714,975

15,085,150

1,581,396

42,666,543

Grand Total 

Source: National Sample Census of Agriculture 2007/2008

22

23 8

-

-

-

1,800

90

450-500

36

Livestock Sub-Sector Study; Netherlands Economic Institute, (NEI) 1999

Source:

Years in Breeding Herd (Years)

6–7

Age at slaughter (years)

180-210

Age at Weaning (days) 200

400

Lactation Length (days)

Average Milk Prod. /Lactation/Cow (litres)

140 30

8-10

Milk yield per lactation (Kg) Age at first calving (Months)

Offtake Rate (%)

250-350

200 - 350 100 - 175

Mature Weight (Kg)

Carcass Weight (Kg)

-

5

15

15-18

70

Small Scale Semi Intensive (Graded & Pure Animals)

25-40 8-10

Pre - Weaning Mortality (%) Adult Mortality (%)

25

18-24

Calving Interval (Months)

Calf Mortality rate (%)

40-50

Calving Rate (%)

Traditional Sector

Production Parameters of Cattle

2.4.1

Production Parameter

Production Parameters of Livestock and Poultry in Tanzania

2.4

-

-

2,500

90

450-500

36

-

-

300-400

5

10

15-18

70-80

Small Scale Intensive (Graded & Pure Animals)

Production Systems

-

-

2,200

95

450

34

-

-

350

6

12

18

75

Large Scale Dairy Production

-

-

800

160

390

40

12

120 - 175

250-350

1.3

3.3

15 - 21

55 - 73

Commercial Beef

2.4.2:

Production Parameters of Small Ruminants, Pigs and Poultry. Sheep and Goat Productivity

Small Ruminants

Pig Productivity

Sheep - Offtake Rate (%)

25 Aver. Slaugther Weight (Kg)

Sheep - Aver. Carcass Weight (Kg) Goats - Offtake Rate (%) Goats - Aver. Carcass Weight (Kg) Combined Sheep and Goat Productivity (NEI Report 1999) Lambing/Kidding (%) Lamb mortality (%) Adult mortality (%)

12 15 15

50-70

Poultry Productivity 100-150 No. of Egg layed/Clutch 20-40 Aver. No. of Clutch/year 8-15 No. of Egg Layed/Year

Offtake Rate (%)

12-15 3 36-45

23

Carcass Weight (Kg)

12.5

Source: NEI (1999) 2.4.3

Parameters for Meat production

Type of Product Cattle Sheep Goats Pigs Chicken (Grams) Ducks (Grams)

Average Live Weight Kg or Grm/Animal 206 24 24 51 1,270 -

Average Carcass Weight Kg Or Grm /Animal 107 12 12 40 900 1,000

Carcass Weight as % of Live Weight 52 50 50 78 71 -

Source: NEI (1999) 2.4.4

Parameters for Milk production

Type of Product Fresh Milk Butter Of Cow Milk Ghee ( Whole Cow Milk) Goat Milk

Yield per Milking Animal 174 40

Extraction Rates % 5 10  -

Waste of Supply  -

Hatching Eggs as % of Production 5 -

Average Weight Of an Egg Gr 45 50

Source: NEI (1999) 2.4.5

Parameters for Egg production

Type of Product Hen Eggs Eggs exl Hen

Yield per Layer Kg 3 4

Source: NEI (1999)

24

25

140,000

137,000

149,000

151,000

155,000

175,000

181,000

182,000 182,500

184,000

204,520

208,046

180,629

218,976

225,178

243,943

262,606

289,835

299,581

1993/1994

1994/1995

1995/1996 1996/1997

1997/1998

1998/1999

1999/2000

2000/2001

2001/2002 2002/2003

2003/2004

2004/2005

2005/2006

2006/2007

2007/2008

2008/2009

2009/2010

2010/2011

2011/2012

2012/2013

115,652

111,106

103,709

86,634

82,884

81,173

80,936

78,766

78,093

75,800

74,000 74,500

72,100

71,000

64,000

62,000

50,000

45,000

40,000

40,000

Lamb/Mutton

9,500

9,000

NOT

50,814

47,246

43,647

38,180

36,000

33,307

31,721

30,672

27,000

26,000

21,000 23,000

20,000

20,000

DATA

10,000

10,500

9,000

9,000

Pork

Source: Ministry of Livestock and Fisheries Development, 2012

132,000

1992/1993

Beef

532,711 553,455

87,408

503,496

449,673

422,230

410,706

370,566

387,384

378,509

348,800

332,000 341,500

323,100

311,000

268,500

260,000

244,000

227,000

219,000

211,000

Total

84,524

93,534

80,916

78,168

77,250

77,280

69,900

68,896

63,000

55,000 61,500

50,000

45,000

40,000

38,000

AVAILABLE

35,000

34,500

30,000

30,000

Chicken

Meat Production (Tones)

Livestock Products Production of Livestock Products 1992/1993 - 2008/2009 (Meat, Milk and Egg)

Type of Product/Year

2.5 2.5.1

1,297,775

1,255,938

1,135,422

997,261

1,012,436

980,000

945,524

935,540

920,000

813,700

578,000 620,700

492,500

445,000

437,000

430,000

396,000

385,000

366,000

390,000

Traditional Herd

623,865

597,161

608,800

652,596

591,690

520,000

475,681

485,056

466,400

366,300

322,500 359,800

321,500

265,000

250,000

245,000

224,000

200,000

189,000

200,000

Improved Herd

1,921,640

1,853,099

1,744,222

1,649,857

1,604,126

1,500,000

1,421,205

1,420,596

1,386,400

1,180,000

900,500 980,500

814,000

710,000

687,000

675,000

620,000

585,000

555,000

590,000

Total

Milk Production (‘000’ litres)

3,725,200

3,494,584

3,339,566

2,917,875

2,806,350

2,690,000

2,230,900

2,100,800

1,858,660

910,000

650,000 790,000

600,000

450,000

430,000

400,000

394,000

380,000

320,000

365,000

Egg Production (‘000’)

26

1,400,000

1,400,000

1,400,000

1,600,000

1,600,000

1,660,000

1,980,000

2,500,000

1,650,000

1,500,000

2,800,000

2,800,000

2,900,000

2000/2001

2001/2002

2002/2003

2003/2004

2004/2005

2005/2006

2006/2007

2007/2008

2008/2009

2009/2010

2010/2011

2011/2012

2012/2013

3,600,000

3,400,000

2,400,000

2,400,000

2,700,000

1,900,000

1,520,000

1,400,000

1,500,000

1,200,000

800,000

700,000

750,000

1,150,000 800,000 650,000 700,000

556,175 393,283 432,905 1,000,000 1,828,000 1,612,000

Goat Skins

700,000

650,000

200,000

650,000

1,250,000

1,500,000

1,200,000

950,000

750,160

650,000

460,000

350,000

400,000

722,000 500,000 350,000 350,000

327,840 312,696 246,431 450,000 561,000 587,000

Sheep skins

Source: Ministry of Livestock and Fisheries Development, 2013

1,332,650 1,300,000 1,400,000 1,400,000

1996/1997 1997/1998 1998/1999 1999/2000

Hides

825,105 754,591 986,825 1,400,000 1,523,000 1,322,000

Year

1986/1987 1990/1991 1991/1992 1992/1993 1993/1994 1994/1995 1995/1996

Hides and Skins Collection

34,673,500

32,988,000

16,100,000

8,500,000

10,910,000

13,500,000

8,700,000

6,800,000

5,500,000

6,500,000

5,500,000

4,500,000

4,500,000

Value (TShs.’000’)

1,711,157 1,463,423

1,475,054 1,262,274

1,269,060

2,000,000

1,719,506

7,390,315

982,668

2,300,000

1,700,000

1,363,721

1,400,000

1,774,000

1,300,000

1,200,000

1,200,000

2,582,525

2,900,000

2,111,176

1,900,000

2,990,700

1,600,000

1,050,000

1,216,740

1,200,000

1,431,000

600,000

511,700

511,700

825,332 560,000 489,060

462,000

1,043,303

967,590 1,000,000 1,143,014

316,224 753,799

Goat Skins

522,500

578,000

83,600

176,000

769,936

1,100,000

925,530

861,770

597,155

488,000

300,000

165,000

165,000

424,616 215,000 193,550

496,164 551,180

207,354

116,690 264,323

Sheep skins

Hides and Skins Selling 447,126 848,347

Hides

2.5.2 Hides and Skins Collections, Sales, Processing Plants/Tanneries and Traders 2.5.2.1: Hides and Skins Collection and Sales

63,600,00

17,500,000

17,400,000

8,200,000

12,806,365

21,500,000

16,200,000

7,500,000

4,025,400

5,712,000

4,600,000

4,000,000

4,000,000

Value (TShs.’000’)

27

African Tanneries Ltd

Salex Industries Ltd

Petro City Tannery

6.

7.

8.

375,000

Goats / Sheep

Goats / Sheep

1,350,000 73,977,000

1,350,000

300,000 300,000

Jumla

2,430,000

Mbuzi / kondoo

540,000

Goats / Sheep

675,000 3,675,000 7,500,000 2,500,000 10,000,000 2,430,000

300,000 556,000

Total Cattle Goats / Sheep Total

13,500,000 3,000,000

Total

150,000

Goats / Sheep

120,000

Total Cattle

2,250,000

230,000

90,470

43,220

723,000

34,293,000

1,071,000

1,071,000

1,488,000

407,000

3,747,000 1,081,000

3,254,000

493,000

500,000

Goats / Sheep

3,215,000

Cattle

4,575,000

Wet blue Leather

Total 20,000

675,000

2,700,000

1,875,000

144,000

144,000

2,820,000

1,620,000

1,200,000

20,592,000

8,424,000

12,168,000

Square Feet

% of Installed capacity

3,215,000 Finished Leather 11,250,000

6,450,000

600,000

75,000

360,000

48,000

1,872,000

468,000

Pieces

“Current Capacity Utilization” (2010)

Finished leather 450,000

600,000

Cattle

Total

3,750,000

150,000

Total 2,700,000

1,560,000 1,560,000

Finished leather

6,308,000

Total

1,688,000

4,620,000

184,615

Cattle

14,040,000

16,224,000

Square Feet

30,264,000

3,120,000

624,000

Pieces

Total

Goats / Sheep

Cattle

Type

Installed Capacity

Source: Ministry of Livestock and Fisheries Development, 2012

Grand Total

Afro Leather Industries Ltd

5.

3.

Moshi Leather Industries Ltd

Himo Tanners and Planters Ltd

2.

4.

Lake Trading Ltd (Pwani)

1.

Name of Company

East Hides Tanzania Ltd (Morogoro)

S/No.

2.5.2.2: Installed Capacities and Current Status of Hides and Skin Processing Plants/Tanneries

46

44

0

40

28

71

45

68

In trial processing

Finished Leather

Wet blue Leather

Wet blue

Wet blue

Type of product

2.5.3

Animal Feeds Production, Processing Plants, Hay Production and Semen Production 2.5.3.1 Animal Feeds Production Year

2000/2001

2001/2002

2002/2003

2003/2004

2004/2005

2005/2006

2006/2007

-

490,000

- 

492,000

529,300

559,000

606,566

2007/2008

2008/2009

2009/2010

2010/2011

2011/2012

2012/2013

717,231

801,727

720,711

852,000

900,000

905,000

Tonnes Year Tonnes

2.5.3.2 Animal Feed Processing Plants Year 2010/2011 S/ Name of Factory No.

Type of Product/Feed

Location

Production ( Tonnes) Capacity Per day

1

Kijenge Animal Product Ltd

Poultry Feeds, cattle, horses and Pigs

Arusha

25

10.5

2 3 4 5 6

Fammy Poultry HAFVET Products WAPO Animal Feeds Product Ilboru Animal feed Nanenane Animal Feed

Poultry Feeds Cattle feeds and Pigs Poultry Feeds Poultry Feeds and cattle Poultry Feedsand cattle

Arusha Arusha Arusha Arusha Arusha

15 10 10 15 10

10 5 8 8.5 5

7 8 9 10 11 12 13 14 15 16 17

Dhariwal Trading Company Interchick Co. Twiga Feeds Tausi Animal Feeds Hill Animal Feeds Igo Animal Feeds Lengesia Animal Feeds Rimayi Animal Feeds Jadide Animal Feeds Mfugaji AnimalFeeds Fide AnimalFeeds

Poultry Feedsand cattle Poultry Feeds Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle Poultry Feedsand cattle

Arusha Kinondoni Kinondoni Kinondoni Kinondoni Kinondoni Kinondoni Kinondoni Kinondoni Kinondoni Kinondoni

20 45 25 20 30 25 20 15 35 20 15

15 35 10.5 15 20 15 10 5.5 15 15 10

18

Kimara Animal Feeds

Poultry Feedsand cattle

Kinondoni

10

5

19

A – ZAnimalFeeds

Poultry Feedsand cattle

Kinondoni

5

3

20

Mkombozi

Poultry Feeds

Ilala

5

3.5

21

Barkhesa

Wheat meal, Wheat bran Bone meal, Fish meal

Ilala

65

65

22

Moselmach Tanzania Ltd

Poultry Feeds

Ilala

15

10

23 24 25 26 27 28

Farmers Center Tanzania Breweries Multivet BAF Farmbase Benfeed

Poultry Feedsand dogs Poultry Feeds Poultry Feeds Poultry Feeds Poultry Feeds and pigs Poultry Feeds

Ilala Ilala Ilala Ilala Ilala Ilala

15 3 5 15 20 25

8 1.5 1.5 10 10 15

29

Furahisha Co. LTD

Ilala

30

20

30

Twiga Feeds

Temeke

20

10.5

31 32

Best Chicken Feed FALCON

Poultry Feeds Poultry Feeds, cattle and pigs Poultry Feeds Poultry Feedsand cattle

Temeke Temeke

25 30

14 20

28

S/ Name of Factory No.

Type of Product/Feed

Location

33 34 35 36 37 38 39

Ideal Chicks Amadori M6 Milleniuam AnimalFeeds Machame Animal Feeds HarshoAnimal Feeds Plant

Poultry Feeds Poultry Feeds Poultry Feedsand cattle Cattle Feeds

Union storeAnimal Feeds Plant

Poultry Feeds, cattle and pigs

Josho Plant

Poultry Feeds

Temeke Temeke Hai Hai Moshi Moshi Moshi

40

Shengana Mineral Lick Plant

Poultry Feeds

41

Kaijunga Omary Taraja Agrovet

42

Production ( Tonnes) Capacity Per day 25 25 10   5 8 3

15.5 20 8   3 5 1.5

Same

 

 

Poultry Feeds

Mbeya

5

1.5

Aziz Animal feed

Poultry Feeds

Mbeya

10

5

43

TOFIC Animal feed

Poultry Feeds

Mbeya

15

8.5

44

International TanFeeds Ltd

Poultry Feeds, Cattle and Pigs

Morogoro

30

25.5

45

Donfeed

Poultry Feeds, Pigs

Morogoro

20

15

46

Chesterfeed

Pigs, Dogs, Poultry, Cattle

Morogoro.

15

10

47 48

Misenani Agriservice Posho Mill

Poultry Feeds Fish meal

Ilemela Ilemela

10 25

5 15.5

49

Ghana Feed Centre

Poultry Feeds

Ilemela

20

10

Poultry Feeds

Nyamagana

5

2

Poultry Feeds

Nyamagana

15

8

Poultry Feeds, cattle and pigs

51

Elly Mushi Aninmal Feed Processors Vess Posho mill

52

Ndokeji Fish and Posho Mill

Fish meal

Nyamagana

10

5.5

53 54 55

Kaita Fish Meal Itale Mbisu Fish Meal Pantoni Animal Feed

Fish meal Fish meal Poultry Feeds

Nyamagana Nyamagana Kibaha

10 15 25

5 5 15

56

JKT Animal Feed

Poultry Feeds

Kibaha

30

20.5

57

Mang’ana Agrovet

Poultry Feeds

Kibaha

15

5

58

Vitia Farm

Poultry Feeds

20

5.5

59

Kongowe Feed and Millers

Poultry Feeds

Kibaha Mkuranga

25

155

20

10.5

50

Bagamoyo

60

ML Investment and Supplies

Natural hay in Form of Bales

61

Kaijunga

Poultry Feeds

Shinyanga

5

2

62

Omari

Poultry Feeds

Shinyanga

10

8.5

63

Taraja Agrovet

Poultry Feeds

shinyanga

15

10.5

64

VETASingida

Poultry Feeds and cattle

Singida

15

10

65

Mapussa Animal Feed

Poultry Feeds and cattle

Dodoma

80

25

1,184

852

Total

Source: Ministry of Livestock and Fisheries Development 2012

29

30

 

 

 - 

13 Mabale Ranch

 - 

 - 

Magereza Farm Bagamoyo

12 Kagoma Ranch

11

45

45

50

 - 

 - 

4,000

10 West Kilimanjaro

9 Uyole

 - 

 - 

 - 

 - 

8 Mpwapwa

4,000

6 NAIC - Arusha

25

 - 

5,000

5 LITI -Tengeru

20

6

32.4

15

 - 

8

25

8

85

30.5

Cultivated Area (Ha)

27,000

27,000

30,000

 - 

 - 

 - 

 - 

 - 

15,000

12,000

3,600

19,440

9,000

 - 

4,800

15,000

4,800

51,412

18,300

Hay (Bales)

2007/08

7 Kizota

 - 

5,000

4 LITI - Mpwapwa

 - 

7 PRC- Kongwa

3 LITI - Morogoro

 - 

 - 

5 LMU- Ngerengere

6 LRC- Tanga

 - 

4 LMU-Mvumoni

3 LMU- Sao Hill

20,000

120,000

Vikuge Pasture Farm

2

2 LMU- Mabuki

32,000

Hay (Bales)

Langwira Pasture Farm

Name of Farm

2006/07

45.0

45.0

50.0

25.0

20.0

6.0

32.4

15.0

8.0

25.0

8.0

300.0

35.0

 - 

 - 

 - 

 - 

 - 

 - 

Cultivated Area (Ha)

20,000

26,000

30,000

 - 

 - 

 - 

 - 

 - 

15,000

12,000

3,600

18,000

9,000

 - 

4,800

10,000

5,600

90,000

45,200

Hay (Bales)

2008/09

43

40

50

 - 

 - 

 - 

 - 

 - 

25

20

6

32.4

15

 - 

8

25

8

75

25

Cultivated Area (Ha)

18,000

25,000

31,000

 - 

 - 

 - 

 - 

 - 

11,000

12,000

3,600

22,000

9,000

 - 

4,800

7,000

5,600

41,200

15,000

Hay (Bales)

2009/10

Hay Production from Government Pasture Production Farms – 2012/2013

1

S/No

2.5.3

Hay (Bales)

5,600

2,300

4,800

3,600

 - 

 - 

 - 

 - 

5,500

43 21,000

40 25,000

50 32,000

 - 

 - 

 - 

 - 

3

25 20,000

20 13,000

6

32 27,000

15 10,931

8

8

25 10,000

8

75 41,200

25 15,000

Cultivated Area (Ha)

2010/11

 - 

 - 

270

36

27

120

5

 - 

 - 

 - 

 - 

32

15

 - 

8

25

8

75

25

Cultivated Area (Ha)

 - 

 - 

92,000

15,154

16,000

62,680

50

 - 

 - 

 - 

 - 

69,200

18,550

 - 

11,000

15,420

13,500

171,557

12,500

Hay (Bales)

2011/12

 - 

 - 

 - 

36

27

120

5

 - 

 - 

 - 

 - 

32

15

 - 

8

25

8

75

25

Cultivated Area (Ha)

 - 

 - 

 - 

2,154

16,000

35,450

50

 - 

 - 

 - 

 - 

70,000

20,550

 - 

12,800

10,000

35,600

186,000

15,000

Hay (Bales)

2012/13

31

 

216,000

21 Kaole Sekondary

22 Total

562.9

6

7

 - 

 - 

 - 

60

55

40

338152

3,600

4,200

 - 

 - 

 - 

36,000

33,000

24,000

 - 

 - 

832.4

6.0

7.0

50.0

60.0

55.0

40.0

420000

3,600

4,200

30,000

 - 

 - 

36,000

33,000

24,000

525.4

6

7

50

 - 

 - 

 - 

52

38

303,000 536

3,600

4,200

29,000

 - 

 - 

 - 

33,000

28,000

28,950 40,000 41,440 46,530 50,500 55,253 222,206 296,106 76,800 81,300 98,340

No. of cows inseminated

Source: Ministry of Livestock and Fisheries Development 2013

21,000 37,852 50,000 50,000 51,230 58,500 69,085 253,015 339,815 150,000 172,000 168,000

Doses of Semen

 - 

 - 

 - 

6

7 350,000

3,711

5,208

50 36,000

 - 

 - 

 - 

52 37,150

38 31,000

Semen Production at National Artificial Insemination Centre (NAIC), Usa River, Arusha.

2000/2001 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 2011/2012 2012/2013

Year

2.5.4

Source: Ministry of Livestock and Fisheries Development 2013

 

 - 

Sari Farm (Seriani Agricultural 19 Research Institute)

20 Sotele Sekondary

3,000

18 Sokoine University

20,000

3,000

 

 

17 Misenyi Ranch

16 Manyara Ranch

15 Mzeri Ranch

14 Mkata Ranch

646

 - 

 - 

 - 

 - 

 - 

 - 

 - 

 - 

497,611

 - 

 - 

 - 

 - 

 - 

 - 

 - 

 - 

376

 - 

 - 

 - 

 - 

 - 

 - 

 - 

 - 

403,604

 - 

 - 

 - 

 - 

 - 

 - 

 - 

 - 

2.6 2.6.1 S/N

Milk Processing Milk Processing Plants and Capacities in Tanzania Year 2012/2013 Region

Processing Plants

Capacity (lt per day)

Azam Dairy

3,000 Operating

Tommy Dairy 1

Dar es Salaam Profate Dairy Investment Tan Dairies

3

4

5

6

Coastal

Tanga

Arusha

Manyara

Kilimanjaro

Current Production (lt per day)

% Capacity Utilisation

2,000

67

Not operating 2,000 Operating

 - 

 - 

400

20

1,000 Operating

300

30

15,000

Manow Dairy

2  

Status

15,000 Operating

6,000

40

Chawakimu Cooperative

1,000 Operating

500

50

Mother Dairy Ltd (Rufiji)

1,000 Operating

500

50

SADO FarmDairy

1,000 Operating

500

50

Tanga Fresh Ltd

50,000 Operating

40,000

80

Ammy Brothers Ltd

2,000 Operating

1,000

50

Irente Farm

1,000 Operating

500

50

Montensory Sister’s

1,000 Operating

300

30

Northern Creameries

45,000 Operating

4,500

10

International Dairy Products

5,000 Operating

3,000

60

Mountain Green Dairy

1,500 Operating

750

50

Agape Dairy group

500 Operating

200

40

Jitume Dairy group

300 Operating

150

50

Idafaso Dairy group

300 Operating

100

33

Inuka Dairy group

300 Operating

500

67

Arusha Dairy Company

5,000 Operating

2,500

50

Kijimo Dairy Cooperative

1,000 Operating

300

30

Ayalabe Dairy Cooperative Society

1,500 Operating

300

20

Longido (Engiteng)

500 Operating

400

80

Terrat (Engiteng)

500 Operating

250

50

Orkesumet (Engiteng)

500 Operating

400

80

Naberera (Engiteng)

1,000 Operating

450

45

Nronga Women

8,000 Operating

900

11

West Kilimanjaro

2,000 Operating

1,000

50

Mboreni Women

1,000 Operating

300

30

Marukeni

1,000 Operating

450

45

Ng’uni Women

1,000 Operating

350

35

Kalali Women

1,000 Operating

550

55

Same (Engiteng) Fukeni Mini Dairies Kilimanjaro Creameries Kondiki Small Scale Dairy

32

500 Operating

300

60

3,000 Operating

2,500

60

15,000 Operating

2,500

17

4,000 Operating

1,000

25

S/N

Region

Processing Plants

Capacity (lt per day)

Musoma Dairy

7

Mara

9

Mwanza

Kagera

30,000

25

Victoria Maziwa Mara

1,500 Operating

1,000

67

Baraki Sisters

3,000 Operating

2,100

70

Nyuki Dairy

1,000 Operating

500

50

Mara Milk

15,000 Operating

8,000

53

500 Operating

200

40

Mwanza Mini Dairy

3,000 Operating

500

17

Tukwamuane Dairy

500 Operating

200

40

Kagera Milk (KADEFA)

3,000 Operating

400

13

Kyaka Milk Plant

1,000 Operating

450

45

Del Food

1,000 Operating

300

30

Bukoba Market Milk Bar

500 Operating

300

60

Bukoba Milk Bar - Soko Kuu

500 Operating

300

60

Mutungi Milk Bar

800 Operating

200

25

Salari Milk Bar

800 Operating

200

25

Kashai Milk Bar

800 Operating

200

25

1,000 Operating

500

50

1,000 Operating

300

30

MUVIWANYA

1,000 Operating

350

35

SUA

3,000 Operating

350

7

Kikulula Plant Kayanga Plant

10

Morogoro

% Capacity Utilisation

120,000 Operating

Afri Milk 8

Current Production (lt per day)

Status

Milk

Processing

Milk

Processing

Shambani Graduates

4000 Operating

1,000

25

16,000 Operating

300

2

100 Operating

50

50

12,000 Operating

6,000

50

Mbeya Maziwa

1,000 Operating

600

60

Vwawa Dairy Cooperative Society

2000 Operating

1200

60

New Tabora Dairies

11

Tabora

12

Iringa

13

Mbeya

14

Dodoma

Gondi Foods

600 Operating

200

33

15

Singida

Singidani Dairy

500 0perating

200

40

16

Lindi

Narunyu Sisters

300

60

 

 Total

 

135,300

34

Uhai Mazingira (Sikonge) ASAS Dairy

500 Operating 395,000

 

Total of 67 Plants

Source: Ministry of Livestock and Fisheries Development, 2013

33

34

5

Processor, and Parents

Processor and Parents

Processor, Parents andCEFA (Italy)

Processor and Parents

Processor and Parents

Kalali Women Dairy Cooperative Society Ltd

Tanga Fresh Ltd

NJOLIFA Milk Factory

Sengerema District Council

Musoma Municipal

Source:Ministry of Livestock and Fisheries Development, 2012

Total

99

5

3

61

10

6

Fukeni Mini Dairy Plant

Nronga Women Dairy Cooperative Processor, Parents andPeach Society Ltd Software Ltd Co. (Australia)

School 9

Sponsor

Processor, Parents andPeach Software Ltd Co. (Australia)

Implementing Institutions

Frequency

64,655

1,375 Two time a week

780 Two time a week

4,650 Two time a week 39,920 Two time a week

times per 18,330 Two week

No. of Pupils

2.7 School Milk Feeding Programme 2.7.1 Implementation of School Milk Feeding Programme Year 2011/2012

Musoma Town

Sengerema

Njombe Town and Rural

Tanga Town

Hai Moshi Rural

Districts involved

2.8 Livestock Slaughter 2.8.1 Livestock Slaughtered From July 2006 to June 2007 S/No 1

Region Arusha

District Arusha

Type of Livestock Cattle

3

4

Manyara

Kilimanjaro

Tanga

12,891

6

Dodoma

Singida

Pigs

22,741

4,000

703

3,109

129

-

Monduli Arumeru Mbulu

3,808 28,143 2,042

3,767 17,032 788

1,910 17,467 -

56 15204 635

Hanang Kiteto Rombo Moshi (R)l

1,796 1,214 1,770 15,450

1,404 792 1,972 9,922

377 6,660

144 1,500 -

Moshi (M)

19,164

15,115

5,131

4,072

Same Hai Tanga Handeni

1,796 13,975 11,140 865

1,343 4,517 5,996 5,717

987 647 8,027 122

88 761 -

Korogwe

2,529

868

112

71

Lushoto

3,267

540

337

174

744

1,058

-

-

Kilindi 5

Sheep

36,487

Ngorongoro

2

Goats

Pangani

334

85

-

4

Dodoma

42498

3191

7674

-

Dodoma(R) Kondoa Kongwa

2686 487

18172 2167 349

324 138

124

Mpwapwa Singida

2461 1321

19641 179

295 136

1,120 -

Singida(R)

796

42

12

-

Iramba Manyoni

87 171

173 81

35 27

-

7

Iringa

Iringa(M)

644

48

40

156

8

Mbeya

Mbeya(M)

9263

253

33

292

9

Ruvuma

Ruvuma(M)

81

10

-

449

10

Rukwa

Rukwa(M)

7512

6217

3911

18561

11

Kagera

Bukoba

2858

1070

75

-

Bukoba (M)

2086

342

13

-

Muleba

4922

2664

21

-

Biharamulo

5912

7361

145

-

Ngara

1943

7361

127

-

35

S/No 12

13

14

Region Mara

Mwanza

Shinyanga

District

Type of Livestock Cattle

16

17

Dar es salaam

Tabora

Kigoma

Mtwara

Pigs

11573

1825

951

-

Tarime

16368

5998

888

-

Serengeti

3750

4964

1023

-

Bunda

4842

853

896

-

27136

3170

2074

-

Magu Geita

3345 8301

2352 2568

154 154

-

Kwimba

1288

2230

170

-

Misungwi

1052

1267

465

-

Sengerema

2401

1772

69

-

Ukerewe

3009

1066

13

-

Shinyanga(M)

12452

12740

7558

-

Shinyanga(R)

10435

13410

5344

-

1050 4584

2933 1202

1313 3747

-

Kahama

10,767

8981

710

-

Bukombe

7,380

7393

993

-

Bariadi

2,097

1892

2532

-

Ilala

68,774

22,663

10,040

7,560

Kinondoni

17656

-

-

11,551

Temeke

5579

-

-

1,748

Igunga

1071

720

207

32

Nzega

3303

896

344

278

Uyui

2318

1212

3035

-

Tabora (M)

10977

949

537

1250

Urambo Sikonge Kigoma (M)

2798 465 4030

2154 62 1758

107 87 39

1683 814

Kigoma (R)

832

1168

195

-

1488

2670

-

279

Kibondo

631

2378

208

287

Masasi

1364

1100

94

-

Newala

344

1563

256

-

70

773

69

-

1388 11

1358 1858

66 66

-

Mwanza(M)

Kasulu 18

Sheep

Musoma

Meatu Maswa

15

Goats

Tandahimba Mtwara (U) Mtwara (R)

36

S/No 19

Region Lindi

District

Type of Livestock Cattle

Goats

Sheep

Pigs

Lindi Liwale

704 30

56 318

11 -

-

Nachingwea

734

52

1

144

Ruwangwa Kilwa

84

7

-

-

Total 471,367 276,865 Source: Ministry of Livestock and Fisheries Development, 2008

122,003

73,037

2.9

Cattle Feedlotting by Zones and Private Sector Region/Year

Zone Lake

Central

Northern

No. of Cattle under Feedlot 2010/2011

2011/2012

2012/2013

Mwanza

20,000

26,800

32,900

Shinyanga

24,000

32,000

39,300

Kagera Total Tabora Singida Dodoma Total Arusha Manyara Total

2,000 46,000 2,000 1,600 2,000 5,600 4,000 2,400 6,400

2,846 61,633 2,580 2,146 2,775 7,501 5,360 3,216 8,576

3,350 75,550 3,100 2,600 3,400 9,100 6,500 3,900 10,400

480

729

800

Private Sector – Cattle Feedlotting Rukwa (SAAFI) Iringa (Mark Taylor Farm) Ranchi za NARCO

220

290

350

40,000

53,500

65,800

Grand Total

98,700

132,246

66,950

Source:Ministry of Livestock and Fisheries Development, 2013

37

38

5,854

5,120 6,301

680 416 5,205

40

386 132 71 51

2006/07

8,696

740 947 7,009

104

311 182 82 61

2007/08

5,781

624 638 4,519

38

244 100 60 91

2009/10

9,901

679 572 8,650

103

273 164 68 71

2010/11

10,834

789 504 9,543

122

299 198 72 98

2011/12

Source: Heifer Project Tanzania (HPT) 2012

2.10.2 Distribution of Goats for Milk from NGOs Year 2005/2006 – 2011/2012

10,131

850 674 8,607

126

368 196 86 57

2008/09

NUMBER OF HEIFERS SOLD

Source: Ministry of Livestock Development and Fisheries, 2013

GRAND TOTAL

Development Partners (NGOs).

734

Sub Total 6. Ranches under NARCO

7.

88

Ngerengere LMU

5.

318 146 42 98

2005/06

Mabuki LMU Sao Hill LMU Kitulo Nangaramo LMU

FARM

1. 2. 3. 4.

NO.

11,047

802 504 9,741

125

301 198 77 101

2012/13

2.10 Distribution of Heifers and Goats 2.10.1 Distribution of Heifers from Livestock Multiplication Units (LMUs), National Ranching Company (NARCO) and by Development Partners (NGOs) From 2005/2006 – 2012/2013

39

Tanzania 1 (Choice)

Tanzania Special (Prime)

Grades

100 – 250

100 – 250

Live Weight (kg)

AB,B

AB,B

Age (months)

5–7

5–6

Body Condition Score (Conformity) Side View

TANZANIA MEAT BOARD TANZANIA LIVE CATTLE STEER GRADES

2.11 Tanzania Livestock Grading System 2.11.1 Tanzania Live Cattle Steer Grades

Rear View

40

Less than 100

2–3

Tanzania 1 (Choice)

Grades

180 – 250

Live Weight (kg)

AB, B

Age (months)

5–7

Body Condition Score (Conformity)

Side View

TANZANIA MEAT BOARD TANZANIA LIVE CATTLE COW GRADES

2.11.2 Tanzania Live Cattle Cow Grades

Source: Tanzania Meat Board (TMB), 2013

Tanzania 4 (Utility)

Rear View

41

A, AB, B, C

B, C

AB,B

2–3

3.5 - 4

8–9

NOTE: Age classification of Cattle Class “Calf” means calf of less than 12 months of age Class A meanscattle with no permanent incisor of 15 to18 months of age Class B means cattle with 1 to 2 permanent incisor of 18 to 24 months of age Class AB means cattle with 1 to 6 permanent incisor of 24 to 30 months of age Class C means cattle with more than 6 permanent incisor of 18 to 24 months of age

Less than 180

180 - 350

Tanzania 3 (Standard)

Tanzania 4 (Utility)

250 – 350

Tanzania 2 (Commercial)

2.12

Livestock Markets under LINKS (Web: www. lmistz.net) Location

Code Number

Type through Message

S/No.

Name of Market

1

Pugu

Dar es Salaam

Ilala

2

Kizota

Dodoma

Dodoma Manispaa dom

mkrdom

3

Korogwe

Tanga

Korogwe

tan

mkrtan

4

Weruweru

Kilimanjaro

Hai

msh

mkrmsh

5 6

Meserani Nassa

Arusha Mwanza

Monduli Magu

aru mza

mkraru mkrmza

7

Lugodalutali

Iringa

Mufindi

iri

mkriri

8 9

Ulemo Kiliamatundu

Singida Rukwa

Kiomboi Sumbawanga

sgd sda

mkrsgd mkrsda

10

Mkongeni

Morogoro

Mvomero

mor

mkrmor

11 12 13

Igunga Kiabakari Mhunze

Tabora Mara Shinyanga

Igunga Bunda Kishapu

igu msm shy

mkrigu mkrmsm mkrshy

14

Mbuyuni

Mbeya

Chunya

mby

mkrmby

15 16

Mbauda Ndala

Arusha Tabora

Arumeru Nzega

17

Rusahunga

Kagera

Biharamulo

18

Nyamuhongolo

Mwanza

Ilemela

19

Endagikoti

Manyara

Mbulu

20

Dosidosi

Manyara

Kibaya

21

Mgagao

Kilimanjaro

Mwanga

22 23

Masabi Parakuyo

Shinyanga Morogoro

Kahama Kilosa

24

Namanyere

Rukwa

Nkasi

25

Bukulu

Dodoma

Kondoa

26

Chipogolo

Dodoma

Mpwapwa

27 28 29 30

Mtana Wasso Chamakweza Nderema

Mara Arusha Pwani Tanga

Tarime Loliondo Chalinze Handeni

Region

District

dar

Source: Ministry of Livestock and Fisheries Development, 2012

42

Cellphone

mkrdar

0787441555

43

 

 

 

 

 

 

 

 

 

12

13

14

15

16

17

18

19

20

 

7

 

 

6

11

 

5

 

 

4

10

 

3

 

 

2

9

Arusha (35)

1

 

 

 

8

Region  

 

 

 

Monduli (7)

 

 

 

 

 

Longido (5)

 

 

 

 

 

 

 

Arumeru (7)

 

Nanja

Ngarash

Engaruka

Mto wa Mbu

Gelaimeirugoi

Gilaibomba

Sinya

Kitumbaine

Engarenaibo

Longido

Ikindinge

Themi

Oldonyosambu

Mirongoine

Kisongo

Ngarenanyuki

Ngaramtoni

Kikatiti

Mateves

Mbauda (M/chumvi)

 

Arusha (1)

Name of Market

District  

Nanja

Ngarash

Engaruka

Mto wa Mbu

Gelaimeirugoi

Gilaibomba

Sinya

Kitumbaine

Engarenaibo

Longido

Ikindinge

Kigongoni

Oldonyosambu

Mirongoine

Kisongo

Ngarenanyuki

Ngaramtoni

Kikatiti

Mateves

Mbauda

Name of Village

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Mpakani

Primary

Secondary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

Type of market

Livestock Markets – Primary, Secondary and Border Livestock Markets

S/No.

2.13

220

 

90

240

-

420

-

-

600

 

-

1250

920

-

-

-

1400

770

 

-

Cattle

100

 

400

540

-

-

-

-

460

 

-

450

650

320

780

-

2005

405

 

2,800

Goats

Average number of livestock sold at market monthly

Status

YES

YES

YES

YES

YES

YES

NO

YES

NO

YES

YES

YES

YES

YES

YES

YES

YES

YES

 

YES = Working NO = Not Working

-

-

44

 

 

 

 

 

 

 

39

40

41

42

43

44

 

Same (2)

Siha (1)

 

Mwanga (2)

Rombo (1)

 

 

 

38

Karatu

 

Hai (1)

 

32

 

Kilimanjaro (8)

 

31

 

37

 

30

 

 

 

29

 

 

 

28

 

36

 

27

 

 

 

26

 

35

 

25

 

 

 

24

 

34

 

23

Ngorongoro (11)

 

 

22

 

33

 

21

Makanya

Lemodia

Naibile

Mgagao

Kileo

Munga

Lundaga

Weruweru

Kambi ya simba

Mang’ola

Endabesh

Karatu

Wasso

Digodigo

Naiyobi

Nainokanoka

Olpabal

Ngorongoro

Esare

Soitsambu

Ngaresero

Malambo

Enduleni

Meserani

Makanya

 

Makiwaru

Mgagao

Kileo

Munga

 

Kimashuku

Kambi ya simba

Mang’ola

Endabesh

Karatu

Wasso

Digodigo

Naiyobi

Nainokanoka

Olpabal

Ngorongoro

Esare

Soitsambu

Ngaresero

Malambo

Enduleni

Meserani

Primary

Primary

Primary

Primary

Mpakani

Primary

Primary

Secondary

Primary

Primary

Primary

Primary

Mpakani

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

420

-

-

300

70

30

-

2,300

-

390

500

600

-

-

-

-

-

-

-

-

-

-

-

2,800

110

-

-

250

 

-

-

1900

-

440

150

290

-

-

-

-

-

-

-

-

-

-

-

1,440

YES

NO

YES

YES

NO

YES

YES

YES

YES

YES

NO

NO

NO

NO

NO

YES

NO

NO

NO

“

YES

YES

-

-

45

 

 

 

 

 

 

 

 

63

64

65

66

67

68

69

 

56

62

 

55

 

 

54

61

 

53

 

 

52

60

 

51

 

 

50

59

 

49

 

 

48

58

Tanga (20)

47

 

 

46

57

 

45

 

 

 

 

 

 

 

 

Korogwe (8)

 

 

 

Lushoto (4)

 

Handeni (1)

Muheza (1)

Nkinga

 

 

 

 

 

Kilindi (6)

Moshi (V) (1)

 

Makalamo

Kweisewa

Bwiko

Mombo

Mashewa

Nanyogio

Mkomazi

Mlembulo

Korogwe

Kwekanga

Kwemakame

Baga

Malindi

Mkata

Nderema chanika

Duga

Horohoro

Saunyi

Msente

Masagalu

Kikunde

Songe

Kibirashi

Njia Panda

Ruvu

 

 

 

 

 

 

 

 

 

 

Kwemakame

Baga

Mnadani

 

 

Duga

 

 

 

 

 

Songe

Kibirashi

Kilototoni

Ruvu

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

-

-

60

70

100

-

-

130

2010

-

20

35

140

 

450

-

-

70

-

-

-

60

150

310

-

-

70

18

95

80

-

-

-

310

-

23

24

110

 

900

-

-

25

-

-

-

60

50

89

-

YES

YES

YES

YES

NO

YES

YES

YES

YES

 

YES

YES

YES

YES

YES

YES

YES

YES

NO

YES

-

-

-

-

-

46

 

 

 

 

 

 

 

 

 

87

88

89

90

91

92

93

94

 

81

86

 

80

 

 

79

85

 

78

 

 

77

84

 

76

 

 

75

83

 

74

 

 

73

82

 

72

Simanjiro (6)

 

 

 

 

 

 

 

 

 

Hanang (10)

 

 

 

 

 

 

 

 

 

 

 

 

Manyara (45) Babati (13)

71

Pangani

 

70

Terrat

Giting

Masakta

Simbay

Endasack

Katesh

Gehandu

Ishiponga

Gawidu

Basotu

Hilbadaw

Ufana

Minjingu

Mdori

Maweni

Kiru

Riroda

Gidas

Dareda

Magugu

Gendi

Galapo

Bashnet

Dabil

Mkaramo

Terrat

Giting

Masakta

Simbay

Endasack

Katesh

Gehandu

Ishiponga

Gawidu

Basotu

Hilbadaw

Lukhumanda

Olasiti

Vilima vityatu

Maweni

Kiru six

Riroda

Gidas

D/kati

Magugu

Gendi

Orng’adida

Bashnet

Maganjwa

Mkaramo

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

280

28

20

840

197

170

103

800

40

265

790

105

90

15

105

95

55

50

90

120

150

145

214

410

-

90

50

41

420

84

542

150

600

83

180

510

200

210

48

90

210

90

92

140

59

170

310

270

130

-

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

-

47

 

 

 

 

 

 

 

 

113

114

115

116

117

118

119

 

106

112

 

105

 

 

104

111

 

103

 

 

102

110

 

101

 

 

100

109

 

99

 

 

98

108

 

97

 

 

96

107

 

95

 

 

 

 

 

 

 

Mbulu (9)

 

 

 

 

 

 

 

 

 

Kiteto (7)

 

 

 

 

 

 

 

Gunyoda

Daudi

Endagikot

Dirim

Dongobesh

Maretadi

Maghan

Kidarafa

Olkishber

Pakine

Ndedo

Kibaya

Sunya

Laiseri

Lengatei

Kijungu

Partimbo

Dosidosi

Shambarai

Loibosiret

Mlima tembo

Nondorobo

Nabela

Sukuro

Ngage

 

Daudi

Endagikot

Dirim

Dongobesh

Maretadi

Maghan

Endaharghadat

Olkishber

Pakine

Ndedo

Partimbo

Sunya

Laiseri

Lengatei

Kijungu

Partimbo

Dosidosi

Shambarai

Loibosiret

Mlima tembo

Bunge

Nabela

Sukuro

Terrat

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

70

120

320

210

280

104

220

340

-

-

-

-

190

110

140

510

405

626

-

-

75

49

87

16

170

97

78

210

200

160

90

120

150

-

-

-

-

166

156

210

98

238

320

-

-

50

82

-

-

75

YES

YES

YES

YES

YES

YES

YES

YES

-

-

-

-

YES

YES

YES

YES

YES

YES

-

-

YES

YES

YES

YES

YES

48

Singida (V) (22)

Singinda (58)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

120

Mtama

Munygwe

Kilangoni

Kisisi

Njia Panda

Mlandala

Mgubgira

Ighombwe

Misughaa

Issuna

Mangonyi

Ilongero

Itaja

Ihanja

Mtawira

Damankia

Ntuntu

Mudida

Ikungi

Mtiko

Muhntiri

Mungasa

Sepuka

Masqaroda

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

30

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

87

 

 

 

 

YES

 

 

YES

 

 

 

 

YES

YES

 

YES

 

 

NO

YES

 

 

YES

YES

49

 

 

 

 

 

 

 

 

162

163

164

165

166

167

168

 

155

161

 

154

 

 

153

160

 

152

 

 

151

159

 

150

 

 

149

158

 

148

 

 

147

157

 

146

 

 

145

156

 

144

 

 

 

 

 

 

Manyoni (17)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Iramba (18)

Sanza

Mpola

Kinangali

Mitundu

Chikuyu

Kintiku

Makanda

Sekenke

Kiomboi

Doromini

Mkalama

Gumanga

Kinyngiri

Khikonda

Nduguti

Iguguno

Tumuli

Mtu mbili

Ulemo

Kaselya

Mwandoigembe

Usure

Ujungu

Mtekente

Malendi

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

YES

 

 

YES

YES

YES

YES

YES

YES

 

YES

NO

NO

YES

NO

YES

NO

NO

YES

YES

NO

YES

YES

YES

YES

50

 

 

 

 

 

 

Dodoma (76) Bahi (16)

173

174

175

176

177

178

179

 

 

 

 

 

 

 

 

 

 

 

 

 

181

182

183

184

185

186

187

188

189

190

191

192

193

 

 

172

180

 

171

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

170

 

 

169

Mayamaya

Chipanga

Msisi

Mwitikira

Nondwa

Nyabwawani

Makanda

Nkhahelezi

Nkhome

Mnokola

Kongogo

Mndemu

Kigwe

Lamaiti

Bahi

Manyoni

Heka

Nkonko

Chibumagangwa

Londini

Idodyandole

Itigi

Mgando

Gurungu

Chikola

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

YES

YES

YES

 

YES

 

YES

 

YES

YES

YES

YES

YES

YES

YES

YES

YES

 

YES

 

 

YES

YES

 

YES

51

 

 

 

 

 

 

 

 

212

213

214

215

216

217

218

 

205

211

 

204

 

 

203

210

 

202

 

 

201

209

 

200

 

 

199

208

 

198

 

 

197

207

 

196

 

 

195

206

 

194

 

 

 

 

 

 

 

 

Kondoa (28)

 

 

 

Kongwa (4)

 

 

 

 

 

 

 

 

 

 

Chamwino (11)

 

Salare

Masanga

Dachenche

Bukulu

Thawi

Bicha

Kalema/Paranga

Kolo

Puhi

Pandambili

Mkutani

Mbande

Kongwa

Huzi

Chamwino

Dabalo

Manchali

Manda

Itiso

Mloa bwawani

Mpwayungu

Iringa mvumi

Haneti

Fufu

Nkhwambaku

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

YES

YES

YES

YES

YES

YES

YES

“

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

 

52

 

 

 

 

 

 

 

 

237

238

239

240

241

242

243

 

230

236

 

229

 

 

228

235

 

227

 

 

226

234

 

225

 

 

224

233

 

223

 

 

222

232

 

221

 

 

220

231

 

219

 

 

 

 

 

Mpwapwa (9)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Kibakwe

Ilolo

Nghambi

Mima

Rudi

Msagali

Kisaki

Kwa Dero

Soya

Kikilio

Iyoli

Matandalimo

Babayu

Maziwa

Farkwa

Kwamtoro

Magambua

Takwa (Lalta)

Sanzawa

Kubi

Gwandi

Mtilyangwi

Mondo

Churuku

Busi

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

YES

YES

YES

YES

YES

YES

YES

NO

YES

YES

 

 

YES

YES

YES

YES

YES

YES

YES

NO

 

YES

YES

YES

YES

53

 

Kilombero (4)

 

 

 

 

 

 

 

 

 

Morogoro (25)

 

 

 

 

 

 

 

 

 

 

 

 

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

 

Mvomero (2)

 

 

 

Morogoro (V) (3)

 

 

Morogoro (M) (3)

 

 

 

 

 

 

 

 

 

Dodoma (M) (8)

 

 

 

245

 

 

244

Mkongeni

Melela

Mvuha

Nyambogo

Dete

Diguzi

Nanenane

Kidugalo

Mvuha

Mofu

Mgeta

Mlimba

Michenga-ifakara

Kizota

Chinanga

Mbawala

Vikonje

Kikombo

Mpunguzu

Maili mbili

Hombolo

Chipogoro

Chinyika

Gulwe

 

 

Mvuha

Kisanga stendi

Dete

Diguzi

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

1,200

160

300

600

250

400

1,160

 

 

 

 

 

190

 

 

 

 

 

 

 

 

 

 

 

-

-

-

30

20

50

-

 

 

 

 

 

-

 

 

 

 

 

 

 

 

 

 

 

YES

YES

 

YES

YES

YES

YES

 

 

 

 

 

YES

YES

 

YES

YES

YES

YES

YES

YES

YES

YES

YES

54

 

 

 

 

 

 

 

 

286

287

288

289

290

291

292

Mara (32)

279

285

 

278

 

 

277

284

 

276

 

 

275

283

 

274

 

 

273

282

 

272

 

 

271

281

 

270

 

 

269

280

 

268

 

 

 

 

 

Bunda (6)

 

 

 

 

 

 

 

Musoma (8)

 

 

 

 

 

 

Kilosa (7)

Mahenge (1)

 

 

Ulanga (3)

Mugeta

Kisangwa

Bitaraguru

Bulamba

Namuhula

Mwitende

Samagana

Murangi

Mwibagi

Buhemba

Mugambo

Kiabakari

Bisarie

Kyagata

Kivungu

Dumila

Parakuyo

Ngaite

Malolo

Chakwale

Msingisi

Mahenge

Malinyi

Itete njiwa

Mtimbira

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

460

 

520

 

 

 

 

 

230

200

 

570

 

270

50

340

140

120

90

80

60

 

90

220

200

106

 

91

 

 

 

 

 

108

90

 

210

 

115

-

-

-

-

-

-

-

 

-

-

-

YES

 

YES

 

 

 

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

 

YES

YES

YES

55

Mwanza (14) Ilemela(1)

Magu (2)

 

 

 

 

 

 

312

313

314

315

316

317

 

Misungwi (2)

 

 

 

 

 

 

 

 

311

Tarime (6)

 

 

 

304

 

310

 

303

 

 

 

302

Lorya (4)

309

 

301

 

 

 

300

 

308

 

299

 

 

 

298

 

 

307

 

297

 

 

296

 

306

 

295

 

 

 

294

Serengeti (8)

305

 

293

Misungwi

Misasi

Mwasamba

Lamadi

Kabila

Nassa

Nyamuhongolo

Magena

Nyamaguku

Kewanga

Mtana

Nyamwaga

Kiwanja

Utegi

Obwere

Randa

Nyamaguku

Isenye

Rumabure

Kenyamonta

Majimoto

Kisaka

Nyangurura

Masinki

Mugumu

 

 

Lutubiga

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

Mpakani

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

12

1160

 

 

383

249

1236

-

 

500

600

200

 

-

150

300

400

160

320

 

 

 

 

247

350

34

202

 

 

288

490

183

-

 

240

300

82

 

203

58

139

98

97

61

 

 

 

 

73

97

YES

YES

YES

 

YES

YES

YES

YES

 

YES

YES

YES

 

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

56

 

 

 

 

 

 

 

 

336

337

338

339

340

341

342

 

329

335

Tabora (15)

328

 

 

327

334

 

326

 

 

325

333

 

324

 

 

323

332

 

322

 

 

321

331

 

320

 

 

319

330

 

318

 

Igunga (2)

 

 

 

Nzega (4)

 

Sikonge (2)

 

 

Urambo (3)

 

 

Uyuwi (3)

Tabora (1)

Ukerewe

 

 

Kwimba (3)

 

Sengerma (2)

 

 

 

Geita (4)

Igunga

Ibologero

Itobo

Mambali

Ushirika

Ndala

Ngonywa

Sikonge

Ulyankulu

Kashishi

Urambo

Miswaki

Bukumbi

Mwisole

Ipuli

Hamkoko

Hungumalwa

Bungulwa

Ngudu

Ngoma

Sengerema

Karumwa

Kamena

Kasamwa

Katoro

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Secondary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

2,800

2,500

1,400

520

480

2,200

100

150

280

250

1,650

800

380

1,150

1,600

 

63

251

80

-

815

200

150

343

992

3,000

1,500

800

200

240

2,000

80

100

320

180

400

1,200

140

1,400

2,000

 

203

265

115

-

550

167

18

30

32

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

 

YES

YES

YES

NO

YES

YES

YES

YES

YES

57

 

 

 

 

 

 

 

 

361

362

363

364

365

366

367

 

354

360

 

353

 

 

352

359

 

351

 

 

350

358

 

349

 

 

348

357

 

347

 

 

346

356

 

345

 

 

344

355

Mbeya (25)

343

 

 

 

Mbeya (V) (4)

 

 

 

 

 

 

Mbozi (7)

 

 

 

 

 

 

 

 

 

 

 

Mbarali (12)

 

Chunya (2)

Mpemba

Chang’ombe

Utengule

Uyole

Ivuna

Kamsamba

Chilulumo

Kitete

Vwawa

Mbao

Mbozi

Upagama

Imalilo Songwe

Mabadaga

Uturo

Muungano

Ukwawila

Madibila

Ikoga

Mapogolo

Ukwaheri

Utengule/Ulaya

Rujewa

Mbuyuni

Mapogoro

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Mpakani

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

-

748

 

203

 

116

 

 

107

 

 

242

 

 

84

45

 

 

 

 

950

696

415

80

 

-

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

NO

YES

 

YES

 

YES

NO

“

YES

 

 

YES

 

NO

“

YES

YES

YES

NO

 

YES

YES

YES

YES

58

 

 

 

 

Rukwa (13)

 

 

 

386

387

388

389

390

391

392

 

379

385

 

378

 

 

377

384

 

376

 

 

375

383

 

374

 

 

373

382

 

372

 

 

371

381

 

370

 

Iringa (15)

369

380

 

368

 

 

 

Sumbawanga (5)

 

 

 

Njombe (4)

 

 

 

Mufindi (2)

 

 

 

Kilolo (2)

 

 

 

 

 

 

 

Iringa (V) (7)

Ileje

Matai

Miangalua

Muze

Kilyamatandu

Mambegu

Saja

Wanging’ombe

Lyamliki

Ikuecha

Ugenza

Lugodalutali

Malangali

Masakonzi

Ilula

Mtandika

Nyanzwa

Igilani

Idodi

Mloa

Nyang’oro

Ilolo

Izazi

Igula

Kimande

Katangesa

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

815

1,386

955

122

 

 

447

688

 

 

18

8

 

625

1,351

1,320

980

1,250

865

750

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

YES

YES

YES

YES

 

 

YES

YES

 

 

YES

 

YES

YES

YES

YES

YES

“

“

YES

 

59

 

 

 

 

 

 

 

 

411

412

413

414

415

416

417

 

404

410

 

403

 

 

402

409

 

401

 

 

400

408

 

399

 

 

398

407

 

397

 

 

396

406

 

395

Kagera (15)

 

394

405

 

393

Biharamulo (1)

 

Bukoba (V) (2)

 

Karagwe (2)

 

 

 

 

Missenyi (5)

 

 

Ngara (3)

 

 

 

Mpanda (3)

 

 

 

 

 

Nkasi (5)

 

 

Lusahunga

Kyamulaile

Lukoma

Nyaishozi

Rukole

Byeju

Mutukula

Bugango

Bubale

Byabutura

Lusumo

Murusagamba

Rulenge

 

Mamba

Mbede

Usesya

Isumta

Ntambaruka

Mtenga

Ntalamila

Ntuchi

Namanyere

Ilemba

Kasesya

Lusahunga

Kyamulaile

Izimbya

Nyakayonzi

Rukole

Byeju

Mutukula

Bugango

Bubale

Byabutura

Lusumo

 

Rulenge

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Primary

Primary

Primary

Primary

Mpakani

Primary

Primary

Primary

Mpakani

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Mpakani

2,416

 

 

346

233

 

 

 

 

 

-

 

-

 

 

 

 

 

 

 

 

 

 

626

 

14

 

 

271

164

 

 

 

 

 

-

 

160

 

 

 

 

 

 

 

 

 

 

 

 

YES

YES

YES

YES

YES

YES

NO

“

YES

YES

NO

NO

YES

 

 

 

 

 

 

 

 

 

 

 

NO

60

Kishapu (4)

Shinyanga (32)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

420

421

422

423

424

425

426

427

428

429

430

431

432

433

434

435

436

437

438

439

440

441

 

 

 

 

Meatu (5)

 

 

 

 

 

 

 

Kahama (8)

 

 

 

 

Bukombe (5)

 

 

 

Muleba (1)

 

419

Chato (1)

 

418

Imalaseko

Tindabuligi

Bukundi

Itinje

Usiulize

Nyasubi

Isegehe

Busoka

Kagongwa

Bulige

Masabi

Chona

Uyago

Bukombe

Busonzo

Ushirombo

Lunembele

Masumbwe

Mhunze

Nyasamba

Kishapu

Seke

Mubunda

Buzirayombo

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Kishoju

 

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Secondary

Primary

Primary

Primary

Primary

Primary

 

-

160

115

 

 

18

129

32

28

64

48

32

250

97

 

150

 

1,098

85

 

-

 

 

 

-

219

347

 

 

18

69

49

38

45

21

15

25

5

 

15

 

890

260

 

50

 

 

 

YES

YES

YES

 

 

YES

YES

YES

YES

YES

YES

YES

YES

YES

 

YES

 

YES

YES

 

YES

YES

YES

61

 

Kigoma (4)

 

 

 

 

 

Mtwara (1)

460

461

462

463

464

465

466

 

453

459

 

452

 

 

451

458

 

450

 

 

449

457

 

448

 

 

447

456

 

446

 

 

445

455

 

444

 

 

443

454

 

442

Mtwara (1)

 

Kasulu (2)

Kibondo (1)

 

 

Kigoma (1)

Shinyanga (M)

 

 

 

 

 

Shinyanga (V) (6)

 

 

 

Bariadi (4)

 

 

 

 

Maswa (5)

 

 

Mitengo

Mlanvya

Buhigwe

Kakonko

Nyambade

Malagarasi

Nguruka

Old shinyanga

Iselamagazi

Ilola

Mhangu

Lyabukande

Songambele

Tinde

Laini

Migato

Dutwa

Bariadi

Lalago

Bilishi

Senani

Malampaka

Shanura

Mwanunzi

Mwankali

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Primary

Primary

Mpakani

Mpakani

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

Primary

 

 

 

 

 

 

-

1,500

18

10

148

12

 

177

873

620

1,658

4,108

16

80

281

216

450

114

159

 

 

 

 

 

 

-

70

24

-

31

24

 

152

490

438

1,193

2,559

60

137

191

134

190

217

177

Haufanyi kazi

NO

NO

 

 

 

NO

YES

YES

YES

YES

YES

 

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

YES

62

 

Ilala (1)

 

 

Dar es salaam (1)

Ruvuma (1)

Pwani (1)

 

 

469

470

471

472

473

474

475

Chumbi

Umwe

Chamakweza

Lumecha

Pugu

Mbwemkuru

Nangurukuru

Kitomanga

Ngongo

Chumbi “A”

Umwe Kusini

 

 

 

 

 

 

 

38,177 0 2,234

Live pure-bred breeding bovine animals, live bovine animals

Live pure bred swine, live swine (excl. pure-bred breeding)

Live pure bred sheep, live sheep (excl. pure-bred breeding)

Live pure bred goats, live goats (excl. pure-bred breeding)

01021000 - 01029000

01031000 - 01039200

01041000 - 01041090

01011000 - 01042090

168,721

57,629

Live pure bred breeding horses & Other

01011100 - 01019000

5,978

CIF Value (USD)

21,000

3,800

0

8,045

4,080

1,948

Net Weight (Kg)

2005

Pure-bred breeding animals

Description

1011000

HS CODE

 

2.14 Livestock and Fisheries Imports and Export 2005 – 2011 2.14.1 Livestock and Fisheries Imports

Source: Ministry of Livestock and Fisheries Development 2013

 

Rufiji

Chalinze (1)

Songea (1)

Kilwa (2)

Lindi (V) (1)

 

468

Lindi (M) (1)

Lindi (4)

467

0

0

100

21,316

1,132

7,842

CIF Value (USD)

0

0

5

6,700

3,800

6,737

Net Weight (Kg)

2006

Primary

Primary

Primary

Mpakani

Secondary

Primary

Primary

Primary

Primary

5,760

1,043

13,823

37,765

312,790

123,362

CIF Value (USD)

471

20,338

14,761

6,359

8,900

20,619

Net Weight (Kg)

2007

150

350

 

 

9,882

 

 

 

 

184,909

35,515

54,600

53,859

121,360

NO

YES

YES

YES

NO

YES

 

NO

YES

18,670

19,733

13,950

16,306

76,185

46,390

Net Weight (Kg)

2008

35,360

CIF Value (USD)

 

 

 

 

7,492

 

 

 

 

63

37,773 422,212

Fresh or chilled bovine carcasses, meat

Fresh or chilled swine carcasses, meat etc

Fresh or chilled lamb carcasses and half carcasses

Fresh, chilled or frozen goat meat, swine,horse

Fresh or chilled chickens, turkeys, geese, guinea fowls etc

Pig and poultry Meat and edible meat offal

Milk and Dairy Products

Animal semen other than of bovine

Other:Animal products not elsewhere

Birds’ eggs, in shell & not in shell

Edible products of animal origin, nes

Pigs’, hogs’, or boars’ bristles or hair

Bones and horn-cores (excl. ossein...)

Bovine semen

Live ornamental fish

Fish, Fresh or chilled and others

Fish’s ova, other

Coral; shells of molluscs, crustaceans, unworked

Total

02011000 - 02023000

02031100 - 02032900

02041000 - 02044300

02045000 - 02069000

02071100 - 02089000

02090000 - 02109900

04011000 - 04069000

05119910

05119990

04070000 - 04089900

04100000

05021000

05069000

05111000

03011000

03011000 - 03079900

05119110 - 05119190

05080000

 

6,768,376

5

2,114

457,735

153

0

10,978

20,128

526

203,790

0

0

3,100,428

961,468

59,119

63,648

367,804

15,611

Other live animals, nes

01060000 - 01069000

772,145

Live fowls, DOC, turkeys, ducks, geese, guinea fowls etc

01051100 - 01059900

6,238,176

12

20

412,827

123

0

255

5,000

1,100

155,289

0

0

4,483,260

245,028

558,908

20,563

34,507

22,319

131,954

2,446

125,692

6,794,567

144

323

832,918

2,500

3

8,529

48,935

968

118,568

10,472

0

3,660,908

244,137

35,168

18,422

112,395

706,280

580,517

7,054

375,936

9,631,807

112

554

2,797,868

932

30

570

18,678

1,152

138,458

2,847

0

5,984,326

115,676

81,882

28,073

60,497

227,827

92,313

5,368

57,402

11,638,286

0

6,956

2,239,613

0

706

0

4,710

0

295,206

663

0

5,327,087

45,089

258,827

44,055

109,034

1,173,318

271,975

161,490

1,205,014

15,825,549

0

627

6,840,597

0

45

0

11,348

2

361,963

348

0

7,737,643

31,846

97,500

65,091

68,320

266,503

98,797

42,194

131,277

14,239,153

0

7,131

3,726,800

1,274

21,040

4,787

0

0

146,624

0

0

4,919,557

116,528

2,204

41,799

159,382

1,830,850

765,165

61,641

1,948,768

17,899,144

0

112

6,780,029

628

335

142

0

0

125,252

0

0

7,213,176

139,171

3,410

2,082,891

93,842

445,811

629,569

7,076

186,466

64

5,398 2,584 6,557 7,709

31,527 60,620

Live pure-bred breeding bovine animals, live bovine animals

Live pure bred swine, live swine (excl. pure-bred breeding)

Live pure bred sheep, live sheep (excl. pure-bred breeding)

Live pure bred goats, live goats (excl. pure-bred breeding)

Live fowls, DOC, turkeys, ducks, geese, guinea fowls etc

Other live animals, nes

Fresh or chilled bovine carcasses, meat

Fresh or chilled swine carcasses, meat etc

Fresh or chilled lamb carcasses and half carcasses

Fresh, chilled or frozen goat meat, swine,horse

Fresh or chilled whole chickens, turkeys, geese, guinea fowls etc

Pig and poultry Meat and edible meat offal

01021000 - 01029000

01031000 - 01039200

01041000 - 01041090

01011000 - 01042090

01051100 - 01059900

01060000 - 01069000

02011000 - 02023000

02031100 - 02032900

02041000 - 02044300

02045000 - 02069000

02071100 - 02089000

02090000 - 02109900

202,999

570,987

2,479,862

187,879

8,957

1,064,426

5,278

Live pure bred breeding horses & Other

01011100 - 01019000

15,793

CIF Value (USD)

Pure-bred breeding animals

Description

72,789

122,146

29,775

126,625

761,117

21,470

6,305

166,380

1,873

7,824

68

15,034

22,615

24,527

Net Weight (Kg)

2009

1011000

 

HS CODE

2.14.1…../

382,548

41,998

79,221

184,348

1,802,728

254,387

293,249

2,219,342

14,416

3,984

4,043

15,034

22,718

52,485

CIF Value (USD)

112,113

74,116

19,737

147,781

1,456,031

67,448

16,107

122,452

2,640

5,620

360

5,097

13,850

65,220

Net Weight (Kg)

2010

2,951,777

343,383

196,778

86,678

3,327,564

830,881

5,721

1,285,531

29

2,998

8,157

155,638

16,204

4,916

CIF Value (USD)

588,353

796,323

38,663

82,934

726,162

222,598

1,300

90,368

18

4,000

26,500

90,209

23,378

13,155

Net Weight (Kg)

2011

65

Edible products of animal origin, nes

Pigs’, hogs’, or boars’ bristles or hair

Bones and horn-cores (excl. ossein...)

Bovine semen

Live ornamental fish

Fish, Fresh or chilled and others

Fish’s ova, other

04100000

05021000

05069000

05111000

03011000

03011000 - 03079900

05119110 - 05119190

Pure-bred breeding animals

Live pure bred breeding horses

Live horses, other than for purebred breeding

01011100

01011900

Description

01011000

HSCODE

2.14.2 Livestock and Fisheries Export

Source: Tanzania Revenue Authority, 2012

4,563

0

367,219

FOB Value (USD)

2005

Total

Birds’ eggs, in shell & not in shell

04070000 - 04089900

 

Other:Animal products not elsewhere

05119990

Coral; shells of molluscs, crustaceans, unworked

Animal semen other than of bovine

05119910

05080000

Milk and Dairy Products

04011000 - 04069000

3,950

0

464,250

Net Weight (Kg)

16,450,948

0

18

6,146,859

439

100

83

0

448

374,396

0

0

8,550,057

1,212

0

106,770

2,000

0

172,200

Net Weight (Kg)

2006 FOB Value (USD)

15,830,947

0

2,211

3,653,415

765

9,822

369

0

1,587

408,573

0

0

7,103,629

16,547,493

0

79,579

93

270

52

5,788,206

225

490

849

52

996

487,983

14

48

8,159,736

0

166,011

30

Net Weight (Kg)

2007 FOB Value (USD)

18,163,947

284

5,914

4,361,035

2,627

10,918

890

1,468

518

693,124

169

2

7,716,497

18,330,068

3,232

5,509

34,749

FOB Value (USD)

940

359

3,799,250

35

0

3,825

2,535

1,017

1,200,801

589

31

10,616,725

12,000

18,150

37,030

Net Weight (Kg)

2008

24,329,344

1,641

102

3,266,849

304

0

2,898

283

510

1,165,915

741

713

10,673,133

66

304,869 2,147

92,229 20,970

Live pure-bred breeding bovine, others

Live pure-bred breeding swine, Pure bred

Other:Sheep :Purebred breeding animals

Live goats, pure bred, others

Live fowls, DOC, Other

Live turkeys, ducks, geese, and guinea fowls

01021000 - 01029000

01031000 - 01041010

01041090

01042000 - 01042090

01051100 - 01051190

01051200 - 01060000

90,221 83,501

0 0

Fresh or chilled swine carcasses

Fresh or chilled lamb carcasses

Fresh, chilled or frozen goat meat

Meat of horses, asses, mules or hinnies, fresh, chilled or frozen

Fresh or chilled edible bovine offal

Fresh or chilled chickens

Fresh, chilled or frozen meat swine

02031100 - 02032900

02041000 - 02044200

02045000 - 02069000

02050000

02061000

02061000 - 02073600

02089000 - 02102000

16,016

906

149

44,292

Fresh or chilled bovine carcasses

02011000 - 02023000

449,122

0

1,915

Other:Live horses, asses, mules and hinnies.

01019000

0

Live asses mules and hinnies

01012000

442

294

0

0

44

22,320

27,500

45,946

26,717

1,585

52,724

0

2,400

337,700

3

0

251

0

0

0

3,153,340

64,230

0

43,306

111,942

9,960

5,920

2,542

23,044

832,966

6,759

0

163

0

0

0

39,614

28,117

0

14,370

7,817

6,390

14,880

2,000

10,500

805,145

70

0

0

0

0

0

20,665

1,809,075

0

8,209

65,706

14,799

34,583

0

23,105

983,169

347,192

30,560

0

0

0

0

40,479

18,663

0

500,035

34,377

390

24,127

0

6,000

796,510

9,084

23,347

2,632

1,183

56,664

0

122,550

50,732

10,981

305,824

13,679

37,679

1,421

3,316

311

1,111,755

105,410

2,283

895

250

5,000

0

42,811

25,842

4,820

112,370

5,766

1,800

500

18,806

600

590,200

40,070

8,000

67

47,393 32,410 0

Milk and milk products

Birds’ eggs, in shell, fresh, other

Pigs’, hogs’, or boars’ bristles or hair

Fresh,frozen,salted,dried..,guts/ bladders/stomachs

Bones and horn-cores (excl. ossein...)

Bovine semen

04011000 - 04069000

04070000 - 04089900

05021000

05040000

05069000

05111000

71,350 1,169,507 228,175 318,577 102,706

Fish’s ova, Fish waste, other

Animal products, nes; dead animals of chapter 1

Animal semen other than of bovine

Other:Animal products not elsewhere specified

Lard, poultry fat, fish fats, marine fats

Animal fats and oils and fractions,

Total

05119110 - 05119190

05119900

05119910

05119990

15010000 - 15060000

15161000

 

155,847,447

422

58,950

Products offish, etc; dead animals of chapter 3

05119100

2,023

504,926

434,996

151,240,598

Fresh or chilled fish and Others

03019100 - 03079900

157,295

Live ornamental fish

03011000

53,945,293

440

10,097

8,143

4,791

37,215

473,595

361,154

10,000

15,749

0

2,500

6,486

187,550

51,812,230

29,468

206,873,894

0

108

280,324

211,934

3,729

17,923

358

7,693

3,328,232

0

0

2,953

361,170

198,105,139

192,089

44,435,956

0

100

77,681

4,567

70,000

156,332

10,000

80

62,776

0

0

2,080

151,382

42,744,304

53,388

194,808,605

1,541

0

102,765

103,132

0

175,471

1,684

111,948

1,736,002

0

2,839

14,236

695,295

188,382,739

64,218

167,089,311

1,000

0

3,286

2,076

0

275,587

6,000

3,580

60,576

0

7,000

11,732

1,396,906

163,689,054

13,461

190,135,865

36,152

16,867

93

73,966

0

29,776

0

164,100

1,784,265

0

50,912

8,251

1,716,372

184,261,317

123,884

60,479,284

26,100

86,000

10

1,884

0

51,640

0

4,436

29,421

0

5,203

265

1,987,575

57,315,525

46,315

68

Pure-bred breeding animals

Live pure bred breeding horses

Live horses, other than for pure-bred breeding

Live asses mules and hinnies

Other:Live horses, asses, mules and hinnies.

Live pure-bred breeding bovine, others

Live pure-bred breeding swine, Pure bred

Other:Sheep :Purebred breeding animals

Live goats, pure bred, others

Live fowls, DOC, Other

Live turkeys, ducks, geese, and guinea fowls

Fresh or chilled bovine carcasses

Fresh or chilled swine carcasses

Fresh or chilled lamb carcasses

Fresh, chilled or frozen goat meat

Meat of horses, asses, mules or hinnies, fresh, chilled or frozen

Fresh or chilled edible bovine offal

Fresh or chilled chickens

Fresh, chilled or frozen meat swine

Live ornamental fish

01011100

01011900

01012000

01019000

01021000 - 01029000

01031000 - 01041010

01041090

01042000 - 01042090

01051100 - 01051190

01051200 - 01060000

02011000 - 02023000

02031100 - 02032900

02041000 - 02044200

02045000 - 02069000

02050000

02061000

02061000 - 02073600

02089000 - 02102000

03011000

Description

Lebel

01011000

HSCODE

2.14.2…./

98,233

15

25

0

0

21,712

94,653

57,687

64,876

3,440

526,095

1,841

0

1,330

596,158

4,587

0

0

7,044

220,459

FOB Value (USD)

95,337

20

20

0

0

84,660

114,416

12,200

22,800

84

1,192

870

0

6

304,214

1,200

0

0

20,600

180,983

Net Weight (Kg)

2009

19,510

14,226

0

0

188

10,991

0

0

2,891

0

0

579

0

1,085

547,886

1,936

0

0

0

2,603

FOB Value (USD)

3,903

1,300

0

0

500

6,557

0

0

15,000

0

0

38

0

4,019

125,176

1,200

0

0

0

8,100

Net Weight (Kg)

2010

4,755

0

935

106

0

24,879

0

3,167

0

336

6,736

4,989

0

1,364

427,851

17,890

0

0

0

473

FOB Value (USD)

602

0

1,200

3,000

0

6,544

0

560

0

55

3,900

3,420

0

2,500

521,820

37,350

0

0

0

711

Net Weight (Kg)

2011

69

Milk and milk products

Birds’ eggs, in shell, fresh, other

Pigs’, hogs’, or boars’ bristles or hair

Fresh,frozen,salted,dried..,guts/bladders/stomachs

Bones and horn-cores (excl. ossein...)

Bovine semen

Products offish, etc; dead animals of chapter 3

Fish’s ova, Fish waste, other

Animal products, nes; dead animals of chapter 1

Animal semen other than of bovine

Other:Animal products not elsewhere specified

Lard, poultry fat, fish fats, marine fats

Animal fats and oils and fractions, hydrogenated, etc

Total

04011000 - 04069000

04070000 - 04089900

05021000

05040000

05069000

05111000

05119100

05119110 - 05119190

05119900

05119910

05119990

15010000 - 15060000

15161000

 

Source: Tanzania Revenue Authority, 2012

Fresh or chilled fish and Others

03019100 - 03079900

228,610,140

7,402

46

38,309

100,436

0

40,773

0

463,930

1,454,398

0

193

8,903

154,277

224,643,318

42,382,405

8,000

120

1,027

2,391

0

12,257

0

8,810

20,896

0

138

8,300

151,380

41,330,484

153,580,421

77,271

1,666,979

0

506

0

97,244

0

181,819

221,629

0

72

1,630

185,634

150,545,742

42,494,837

180

3,610

0

1,500

0

27,435

0

4,377

36,531

0

50

359

368,015

41,886,987

153,750,280

0

3,015

3,787

99

0

40,818

0

0

41,032

341

0

17,042

708,525

152,442,140

43,039,414

0

3,141

6,640

100

0

60,577

0

0

82,280

925

0

2,017

78,322

42,223,750

70

RUVU

KONGWA KALAMBO MZERI HILL

W/KILIMANJARO KAGOMA MABALE

KIKULULA

MISENYI

MKATA

1

2 3 4

5 6 7

8

9

10 33,829

2,041

7,285

2,345

936 3,037 2,285

7,627 2,099 2,982

3,192

2007/08

Source: National Ranching Company Ltd, 2013

Grand Total

Ranch

S/No.

34,448

2,453

7,335

2,000

955 2,821 1,905

7,935 1,672 3,595

3,777

2008/09

29,939

-

7,053

1,755

227 2,672 1,820

8,292 1,468 3,000

3,652

2009/10

26,118

-

3,287

1,496

253 2,260 1,545

8,405 1,608 3,928

3,336

2010/11

25,442

-

2,567

1,261

233 2,110 1,140

9,720 2,236 3,319

2,856

2011/12

Table 2.15: Total Number of Cattle at National Ranching Comany Farms During Period July 2007-June 2013

17,378

-

3,329

-

161 -

7,348 1,413 3,108

2,019

2012/13

2.16. S/No.

Privatized of TDL Factories and DAFCO Farms Name of Factory – TDL / Farm - DAFCO

Name of Investor

Date of MOU / ASA

1

DAFCO (Ruvu)

M/S Dimara Agric. and Trading MoU: 17/04/1998 Cooperative Society

2

DAFCO na TDL (Utegi)

Utegi Dairies Company Ltd

3

DAFCO (Ihimbu)

M/S Tommy Dairies Ltd.

4

DAFCO (Rongai)

Mr. Felix G.N. Mosha

5

TDL Tanga

M/S Morning Products Ltd

6

TDL Arusha

M/S Northern Creameries Ltd

7

TDL Dar es salaam

M/S Royal dairies Ltd

8

TDL Tabora

Tanzania Christian Development Trust

9

TDL Musoma

M/S Musoma Dairy Ltd

TDL Mbeya

This factory has been liquidated. The liquidator sold all machine and other equipments to pay for the factory outstanding debts.

10

2.17

and

Farming

MoU: 13/10/1998 ASA:12/02/2002 MoU: 26/09/2001 ASA: MoU: 01/06/1998 ASA:

Care

Dairy MoU: 27/03/1997 ASA:28/11/1997 MoU: ASA: MoU: ASA:1997 Farm MoU: 06/08/1997 ASA:16/11/1998 MoU: ASA:1997

10

Sale Price

TShs. 130.68 million

TShs. 95.0 million TShs. 96.0 million US $ 900,000 (Reduced to US$ 449,000) TShs. 251.0 million Information Available

not

Information Available

not

TShs. 25.0 million TShs. 109.0 million

TDL Mbeya

Hatchery Production in the country.

S/No 1 2 3 4 5 6 7 8 9 10 11

Region Dar es Salaam       Coast       Arusha Kilimanjaro  

12 Iringa

Name

Capacity (No. of chicks for 3 Weeks)

Amadori/Pollo - Italia Interchick Twiga Hatcheries Ideal Chicks Kibaha E. C. Ruvu JKT Kiluvya Poultry Products Mkuza Chicks Tanzania Poultry Farms Kilacha Kibo Hatcheries Matembwe - Njombe

160,000 260,000 120,000 120,000 120,000 30,000 30,000 360,000 180,000 30,000 60,000 30,000

71

72

Pasture Production

4,000

6 NAIC - Arusha

 

 

 

20,000

12 Kagoma Ranch

13 Mabale Ranch

14 Mkata Ranch

15 Mzeri Ranch

 

 

Magereza Farm 11 Bagamoyo

16 Manyara Ranch

 

9 Uyole

10 West Kilimanjaro

60

55

40

45

45

50

 

 

 

25

20

 

5,000

5 LITI -Tengeru

4,000

5,000

4 LITI - Mpwapwa

6

32

 

 

3 LITI - Morogoro

 

 

7 PRC- Kongwa

15

 

 

6 LRC- Tanga

 

8 Mpwapwa

 

5 LMU- Ngerengere

8

25

8

85

31

Cultivated Area (Ha)

36,000

33,000

24,000

27,000

27,000

30,000

 

 

 

 

 

15,000

12,000

3,600

19,440

9,000

 

4,800

15,000

4,800

51,412

18,300

Hay (Bales)

2007/08

7 Kizota

 

20,000

3 LMU- Sao Hill

4 LMU-Mvumoni

 

120,000

2 LMU- Mabuki

2 Vikuge Pasture Farm

Hay (Bales)

32,000

Name of Farm

1 Langwira Pasture Farm

S/No

2006/07

60

55

40

45

45

50

 

 

 

 

 

25

20

6

32

15

 

8

25

8

300

35

Cultivated Area (Ha)

36,000

33,000

24,000

20,000

26,000

30,000

 

 

 

 

 

15,000

12,000

3,600

18,000

9,000

 

4,800

10,000

5,600

90,000

45,200

Hay (Bales)

2008/09

 

52

38

43

40

50

 

 

 

 

 

25

20

6

32

15

 

8

25

8

75

25

Cultivated Area (Ha)

 

33,000

28,000

18,000

25,000

31,000

 

 

 

 

 

11,000

12,000

3,600

22,000

9,000

 

4,800

7,000

5,600

41,200

15,000

Hay (Bales)

2009/10

 

52

38

43

40

50

 

 

 

 

3

25

20

6

32

15

8

8

25

8

75

25

 

37,150

31,000

21,000

25,000

32,000

 

 

 

 

5,500

20,000

13,000

3,600

27,000

10,931

2,300

4,800

10,000

5,600

41,200

15,000

Hay (Bales)

2010/11 Cultivated Area (Ha)

2.18.1 Production of Hay from Government Institutions Year 2006/07 – 2012/13

2.18

 

 

 

 

 

270

36

27

120

5

 

 

 

 

32

15

 

8

25

8

75

25

Cultivated Area (Ha)

   

   

   

   

   

92,000  

15,154

16,000

62,680

50

 

 

 

 

69,200

18,550

 

11,000

15,420

13,500

171,557

12,500

Hay (Bales)

2011/12

36

27

120

5

 

 

 

 

32

15

 

8

25

8

75

25

Cultivated Area (Ha)

 

 

 

 

 

 

2,154

16,000

35,450

50

 

 

 

 

70,000

20,550

 

12,800

10,000

35,600

186,000

15,000

Hay (Bales)

2012/13

73

 

21 Kaole Sekondary

216,000

 

20 Sotele Sekondary

  Total

 

3,000

18 Sokoine University

Sari Farm (Seriani 19 Agricultural Research Institute)

3,000

17 Misenyi Ranch

563

6

7

 

 

 

338,152

3,600

4,200

 

 

 

832

6

7

50

 

 

420,000

3,600

4,200

30,000

 

 

525

6

7

50

 

 

303,000

3,600

4,200

29,000

 

 

536

6

7

50

 

 

350,000

3,711

5,208

36,000

 

 

646

 

 

 

 

 

497,611 376

   

   

   

   

   

403,604

 

 

 

 

 

74

Bahi

Kongwa

 

 

 

 

 

Pwani

 

 

 

 

 

Dodoma

 

 

 

 

 

Iringa

 

 

 

 

 

3

 

 

 

 

 

4

 

 

 

 

 

5

Kilolo

Chamwino

Kondoa

Dodoma

Mpwapwa

Rufiji

Mkuranga

Mafia

Bagamoyo

Kibaha

Kisarawe

Longido

Monduli

Karatu

Arusha

Meru

Arumeru

 

Ngorongoro

Arusha

District

 

Region

1

S/No

Year

1

 

 

 

 

1

1

 

 

 

1

1

1

 

 

 

 

 

4

1

Number of Charcos

10,600,000

 

 

 

 

4,770,000

10,600,000

 

 

 

15,844,880

8,311,955

22,420,997

 

 

 

 

 

32,084,722

12,720,000

Cost (million Tshs)

2006/2007

1

 

1

 

 

2

5

2

2

2

1

 

 

 

 

 

4

4

 

3

Number of Charcos

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Cost (million Tshs)

2007/2008

 

 

1

 

3

 

 

 

2

 

1

 

1

 

 

1

1

1

 

2

Number of Charcos

 

 

 

 

 

 

 

 

10,000,000  

 

12,900,000  

 

 

 

9,500,000

 

23,800,000  

 

43,800,000

 

 

56,300,000

30,000,000

 

 

 

1

2

2

2

1

1

1

Number of Charcos

50,000,000  

 

100,000,000

Cost (million Tshs)

2008/2009

 

 

 

 

 

 

 

 

 

 

 

 

   

 

 

 

 

 

 

14,318  

125,947  

78,760

99,000

98,046

32,105  

50,000

Cost (million Tshs)

2009/2010

2.19 Charco dams Construction 2.19.1 Charco dams constructed through DADPs Funding Year 2006/2007 -

1

2

 

1

1

1

1

1

1

1

Number of Charcos

 

 

 

 

 

 

 

 

 

 

 

 

1

 

 

 

 

 

1

 

No. of Boreholes

2010/2011

 

 

 

 

 

 

 

 

 

 

 

 

 

20,000,000

1  

 

 

 

 

 

  2

  47,000,000

 

 

 

 

 

 

1  

 

 

1

 

 

 

 

 

2,049,000  

63,700,000  

16,200,000  

40,000,000

 

58,854,000  

1

   

1  

No. of Boreholes

Number of Charcos

44,600,000  

34,008,000

65,000,000

Cost (million Tshs)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2011/2012

40,000,000

67,000,000

12,705,000

61,000,000

55,129,000

65,500,000

Cost (million Tshs)

75

Kilosa

Morogoro

 

 

Morogoro

 

 

 

 

Mara

 

 

10

 

 

 

 

11

Bunda

Mvomero

Ulanga

Kilosa

Mbeya

Mbozi

Mbarali

Chunya

Mbulu

Hanang

Simanjiro

Babati

 

Kiteto

Mwanga

Mbeya

 

 

Siha

 

 

 

Rombo

9

 

 

Same

 

 

 

Hai

 

Kilimanjaro

7

Ruangwa

 

 

 

Lindi

 

 

 

Nachingwea

Kilwa

 

 

 

 

Lindi

6

Iringa

 

 

 

Mufindi

Manyara

 

 

Makete

 

 

 

Njombe

8

 

 

 

 

 

 

 

1

 

 

 

1

 

 

 

 

1

 

 

2

1

2

 

 

 

 

 

 

 

 

 

 

 

 

 

7,571,354

 

 

 

17,214,705

 

 

 

 

32,937,890

 

 

20,610,640

8,944,015

23,993,869

 

 

 

 

 

 

 

 

4

 

 

2

3

2

 

 

2

 

 

 

3

2

2

 

 

 

 

 

 

2

10

3

 

1

1

3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

3

 

 

1

2

 

 

6

1

 

 

 

 

2

3

 

1

 

1

 

 

1

 

 

1

 

 

3

 

 

 

 

 

 

 

 

 

464,000,000

 

 

361,000,000  

 

18,000,000  

 

 

133,300,000

50,000,000

 

 

 

 

120,000,000

110,000,000

 

20,000,000  

 

10,700,000  

 

 

15,000,000  

 

 

94,500,000  

 

 

76,000,000  

4

2

1

1

1

2

1

1

2

2

3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

112,000

61,850

14,880  

50,000

70,000

40,000

30,000  

51,000

86,000

78,000

61,952  

 

 

 

 

 

 

 

1

1

1

1

 

1

2

1

3

1

 

 

 

 

 

 

 

 

 

 

  1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1

 

 

4

1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

     

  36,391,000    

44,200,000

48,000,000

43,603,000

 

 

 

 

26,000,000  

43,502,000

40,000,000

36,000,000

47,720,000

 

   

1

3

 

 

1

2

 

 

2

1

 

 

2

4

1  

2

1  

1

 

 

1

 

 

 

115,637,480

 

 

 

 

1

4

 

 

 

 

 

 

 

40,000,000  

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

42,960,000

40,000,000

120,000,000

222,000,000

80,000,000

23,040,000

80,000,000

100,000,000

19,401,000

63,000,000

9,460,000

175,663,000

76

Manyoni

Iramba

Singida

 

 

Tabora

 

 

 

 

 

 

16

 

 

 

 

 

Uyui

Urambo

Igunga

Tabora MC

Sikonge

Nzega

Singida (v)

Meatu

Maswa

Kishapu

Bukombe

Bariadi

Kahama

 

Shinyanga

Shinyanga(v)

15

Shinyanga

14

Newala

 

 

 

Tandahimba

Mtwara MC

 

 

 

 

Mtwara

13

Geita

 

 

 

 

1

2

 

 

1

 

 

 

1

1

1

 

1

 

 

 

 

 

 

 

 

 

Mwanza CC

1

2

1

 

 

 

 

 

Magu

 

 

 

 

 

 

Sengerema

Kwimba

 

 

 

 

 

 

Misungwi

 

Mwanza

12

Rorya

Tarime

 

 

 

 

 

 

Serengeti

Musoma (V)

 

 

 

 

 

 

Kiteto

 

 

 

 

 

 

 

5,300,000

23,442,960

 

 

10,600,000

 

 

 

7,610,800

9,540,000

14,204,000

 

10,600,000

 

 

 

 

 

 

5,565,000

27,681,454

5,156,638

 

 

 

 

 

 

 

 

2

 

1

 

1

 

 

 

1

13

1

2

3

1

3

1

2

 

 

12

 

10

5

 

 

1

1

4

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1

6

2

 

1

2

7

 

1

 

 

 

 

 

 

 

 

 

1

 

1

2

 

2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

20,000,000

1,106,000,000  

200,000,000

 

28,000,000

48,000,000

858,000,000  

 

11,500,000

 

 

 

 

 

 

 

 

 

214,000,000

 

175,000,000

56,000,000  

 

 

56,000,000  

 

3

1

1

1

1

1

2

3

3

4

4

1

1

2

3

1

10

 

 

 

 

 

 

 

 

 

 

 

 

 

 

46,197  

65,000

8,065  

22,000  

34,076

14,130

28,057

86,700

76,800

140,000

96,861

25,060

 

16,000

 

 

63,744

35,712

28,281

244,234

 

 

 

 

 

 

2

1

3

1

1

1

2

2

4

 

2

7

 

7

 

3

5

3

1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1

 7

 3

 

 1

2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

5 3

14 1

50,000,000

60,000,000

133,356,000

14,031,000

126,525,000

50,000,000

56,700,000

24,050,000

84,860,000

3,514,000

26,808,000

 

 

 

 

1

 

 

3

4

2

 

 

   

 

 

2  

 

1  

1

11  

1

 

2

2  

 

 

 

 

 

 

 

2  

 

  1

 

 

1

 

 

 

  1

275,620,000 Singida

 

 

 

184,200,000

13,000,000

103,520,000

24,453,000

7,200,000

4,800,000  

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

   

191,720,000

100,250,000

112,000,000

73,091,000

50,000,000

139,634,000

8,650,000

76,262,000

46,000,000

5,856,000

72,200,000

121,600,000

135,950,000

42,500,000

15,000,000

77

 

 

 

 

 

Rukwa

 

 

 

 

 

19

 

 

Missenyi

Muleba

 

372,836,715

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

9,045,436

15,465,400

135

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2

2

 

 

0

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Source: Ministry of Livestock and Fisheries Development, 2013

33

Songea

 

21

Total

 

 

Tandahimba

RUVUMA

 

 

Mpanda

Nanyumbu

 

Nkasi

 

 

Bukoba

Sumbawanga

 

 

 

 

 

 

 

 

 

Chato

Karagwe

Biharamulo

Kilindi

Mkinga

Pangani

Tanga Jiji

1

1

 

 

Kagera

Mtwara

 

 

18

20

 

 

 

 

 

 

 

 

 

Pangani

 

 

 

Korogwe

 

 

Muheza

 

 

Handeni

Tanga

17

68

 

 

 

 

 

 

 

 

 

 

 

3

 

 

 

1

 

 

 

 

5,377,300,000

 

 

 

 

 

 

 

 

 

 

 

672,000,000

 

 

 

124,000,000

 

 

 

 

 

 

 

83

1

 

1

 

 

1

 

 

 

 

1

 

1

1

2

1

2

 

 

 

 

 

 

2,699,227

34,117  

 

57,000  

 

 

51,700

 

 

 

 

35,000  

 

110,597  

71,000

20,000

15,038

120,000

82

1

 

1

1

 

 

2

1

2

1

1

1

3

 

 

 

 

 

 

 

11

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2,653,153,480

40,000,000

 

158,044,000

 

40,000,000  

 

 

33,008,000

 

35,000,000  

 

60,000,000

40,000,000

20,000,000  

10,000,000

62,000,000

 

1

1

1

1

7

 

95

   

 

 

1

 

 

 

 

 

 

1

 

 

1  

 

1

 

1  

 

5

18

 

 

 

 

 

 

 

 

 

 

 

3,288,997,000

39,730,000

36,793,000

25,000,000

4,000,000

80,000,000

352,376,000

 

40,000,000

45,000,000

40,000,000

12,661,000

145,866,000

78

Karatu

Monduli Hai Mwanga Babati Hanang Kiteto Mbulu Iringa (R)

Sikonge

Urambo Uyui

Iramba

Singida

Handeni Kilindi

 

  Kilimanjaro   Manyara       Iringa

Tabora

   

Singida

 

Tanga  

 

   

   

 

 

Charcos

57

24    

4  

   

2  

  1     1 17   1 2 1  

1  

3

 

11

3

5 1

1

1

Dams

 

 

4,500,000

19,304,680

2,257,917,554

 

889,123,184

133,335,506

   

725,305,740

 

275,178,550

29,323,926

   

51,343,100

85,698,000

105,000,000 71,748,000

  6,400,000   14,106,000 137,411,020 69,928,744

7,520,000

43,896,400

Community

 

0

   

0

 

0

      0 0 0

 

0

2,032,800

 

2,032,800

Councils

2006/2007

  35,000,000   70,000,000 576,232,770 197,841,014

35,000,000

125,332,400

PADEP

Source: Ministry of Livestock and Fisheries Development, 2013

Total

Arusha

District

Arusha

Region

 

1

3,002,814,204

 

1,168,398,134  

163,661,432

   

123,091,100

23,904,680  

190,698,000

64

10 4

11

1 7

3

1 4 8 7 7

 

 

 

 

42,520,000     53,674,000     84,106,000 713,762,300 269,769,758

 

169,228,800  

660,780,630

243,330,280 105,500,000

39,638,000

1,000,000 80,170,150

6,824,500

12,000,000 1,639,400 37,800,000 44,870,000 77,008,300

11,000,000

Total Costs (Tshs)

2008/2009 Total Costs (Tshs) Charcos

2.19.2 Charco Dams Constructed through PADEP Funding Year 2006/2007 and 2008/2009

2.19.3 Water for Livestock Projects funded through DADPs 2012/2013 Region

Council

Arusha

Geita Tanga Manyara

Funding

Amount (Tshs)

Lambo jipya

DADG – Top Up

45,000,000

Donyo

Lambo jipya

DADG – Top Up

35,000,000

Mbuyuni

Ukarabati wa Lambo DADG – Basic

36,301,000

Iringa DC

Nyakavangala

Lambo jipya

DADG – Top Up

44,100,000

Geita DC

Shabaka

Ukarabati wa Lambo DADG – Top Up

30,000,000

Muheza DC

Kigongomawe

Lambo jipya

DADG – Top Up

29,893,000

Tanga CC

Mleni

Lambo jipya

DADG – Top Up

46,157,000

Mbulu DC

Dongobesh

Lambo jipya na Umwagiliaji

DIDF

Hanang DC

Dirma

Uchimbaji wa Kisima DADG – Top Up

50,334,000

Babati DC

Mwinkants

Lambo jipya

DADG – Top Up

40,000,000

Komolo

Lambo jipya

DADG – Top Up

18,529,000

Loirbosiret

Ukarabati wa Malambo 2

DADG – Top Up

9,000,000

Ngipa Sunya Olgirra

Malambo mapya 3

DADG – Top Up

30,000,000

E/Sidan

Lambo jipya

DADG – Top Up

88,473,130

Bulendabufwe Kamkenga Karukekere

Ukarabati wa Malambo 3

Own sources

23,752,000

Migungani

Chanzo cha maji kwa josho

Own sources

4,487,000

Muranda

Ukarabati wa Kisima Own sources

8,300,000

Mwiruruma

Uchimbaji wa Kisima Own sources

8,000,000

Ragata

Lambo jipya

Own sources

8,000,000

Tiring’ati

Ukarabati wa chanzo Own sources cha josho

3,584,000

Serengeti DC

Ngarawani

Lambo jipya

DADG – Top Up

30,000,000

Musoma DC

Kitaramanka

Uchimbaji wa Kisima DADG – Top Up

37,770,000

Kapyo Ipatagwa Motombaya

Ukarabati wa mabirika ya kunyea mifugo

DADG – Top Up

21,674,000

Matebete

Ukarabati wa Lambo DADG – Top Up

25,000,000

Kasanu

Lambo jipya

DADG – Top Up

80,000,000

Ivuna

Lambo jipya

DADG – Top Up

80,000,000

Ileje DC

Mbebe Ikumbilo

Mabirika ya kunyea mifugo 2

DADG – Basic

7,840,000

Chunya DC

Bitimanyanga

Uchimbaji wa Kisima DADG – Basic na pampu ya upepo

32,675,000

Simanjiro DC

Kiteto DC Mara

Bunda DC

Mbeya

Type of Project

NAFCO Meru DC

Iringa

Project Area

Mbarali DC

Mbarali DC Mbozi DC

79

281,500,000

Region

Council

Mwanza

Project Area Bupamwa

Kwimba DC Sengerema DC

Simiyu

Kishapu DC

Total Funding (Tshs)

Amount (Tshs)

DADG – Top Up

43,969,000

DADG – Top Up

8,890,000

Igaka

DADG – Top Up

20,000,000

Butonga

Lambo jipya

DADG – Basic

15,000,000

Kilyamatunda

Lambo jipya na birika la kunyea mifugo

DADG – Top Up

45,000,000

Sunzula

Ukarabati wa Lambo DADG – Basic

35,779,000

Gambosi

Uchimbaji wa Kisima 1

DADG – Basic

18,200,000

Lunguya

Lambo jipya

DADG – Top Up

36,769,000

Bulekela Mwamanota

Mabirika ya kunyea mifugo 2

Own sources

37,500,000

Mwaweja Bulimba Bugoro Miyuguyu

Malambo mapya 4

DADG – Top Up

Bariadi DC Shinyanga

Lambo jipya

Funding

Ukarabati wa kisima cha maji Lambo jipya

Kimiza

Rukwa Sumbawanga DC

Type of Project

.

147,080,000

1,563,556,130

Source: Prime Minister’s Office - TAMISEMI, 2013

80

81

VETERINARY SERVICES

3,800,000

500,000

2011/2012

2012/2013

Source: MLDF

47,825,800

2,885,800

2010/2011

Total

5,000,000

2009/10

4,000,000

2005/06

3,000,000

2,000,000

2004/05

2008/09

6,000,000

2003/04

3,200,000

7,000,000

2002/03

2007/08

2,000,000

2001/02

3,200,000

5,240,000

2000/01

2006/07

Number of Doses

Year

4,698,469,283

83,715,000

336,821,650

193,435,932

861,194,328

360,000,000

361,155,040

328,745,180

341,602,153

240,000,000

544,234,000

637,566,000

127,000,000

283,000,000

Total Cost (Tshs)

37,277,517

487,000

2,930,639

2,862,759

819,561

2,614,930

2,445,217

3,025,190

3,269,200

1,686,241

5,706,808

5,145,902

1,623,649

4,660,421

Number of vaccinated cattle

Vaccination is on-going inKagera, Shinyanga,Manyara, Mwanza, Tabora,Kigoma, Manyara, Morogoro, Mara, Shinyanga, Iringa, Mbeya and Rukwa regions

Kagera, Shinyanga,Manyara, Mwanza, Tabora, Kigoma, Manyara, Morogoro, Mara and Shinyanga

Arusha, Mara, Kilimanjaro, Tanga, Manyara, Kagera and Shinyanga

Kagera, Shinyanga,Manyara, Mwanza, Tabora,Kigoma, Morogoro and Mara

Singida, Tabora, Kigoma, Arusha, Manyara

Singida, Tabora, Kigoma, Arusha, Manyara, Tanga and Kagera

Singida, Tabora, Kigoma, Dodoma, Morogoro, Sinyanga.

Mbeya, Iringa, Rukwa,Morogoro, Mara, Mwanza, Kagera, Shinyanga, Arusha, Tanga, Kilimanjaro

Mbeya, Iringa, Rukwa, Arusha, Mara

Mbeya, Iringa, Rukwa, Arusha, Mara

Mbeya, Iringa, Rukwa,Arusha, Mara

Arusha, Mara

Arusha, Mara

Regions

3.1 Governrnment Subsidy – Veterinary Drugs, Vaccines and Disease Control Infrastructure. 3.1.1 Government Subsidy for the Control of Contagious Bovine Pleuropneumonia (CBPP) 2000/2001 to 2012/2013

CHAPTER 3.0:

82

649,552 109,389.21 62,500 92,323.3 11,020

2008/2009

2009/2010

2012/2011

2011/2012

2012/2013 16,999,711,766

150,000,000

400,000

640,000

2011/12

2013/14 4,748,332,900

450,000,000

Beneficiary regions

Procurement procedures going on

Arusha, Dodoma, Coast, Manyara, Morogoro,Tanga, Singida, Kilimanjaro, Iringa, Mbeya, Tabora Dar es Salaam, Mwanza

Cattle 149,409 Goats 154,835 Arusha, Dodoma, Manyara, Sheep 160,414

- Arusha, Dodoma and Manyara

cattle 2,877,084 Goats1,419,071 Arusha, Dodoma, Coast, Manyara, Morogoro,Tanga, Singida, Sheep 585,435 Kilimanjarao, Iringa, Mbeya, Tabora Dar es Salaam, Mwanza, (4,881,590)

Number of vaccinated animals

Source: Ministry of Livestock and Fisheries Development, 2013

7,540,000

368,332,900

500,000

2010/11

420,000,000

500,000

3,360,000,000

Total cost (Tshs)

2009/10

Number of Doses procured

5,500,000

Total

181,818,182 24 regions excluding Mtwara

1,500,000,000 All regions of Tanzania mainland

1,000,000,000 All regions of Tanzania mainland

1,817,893,584 All regions of Tanzania mainland

10,000,000,000 All regions of Tanzania mainland

1,000,000,000 All regions of Tanzania mainland

Government Subsidy Programme in the Control of Rift Valley fever (RVF)

2007/08

Year

3.1.3

Beneficiary regions

1,500,000,000 18 regions, excluding Dar es Salaam, Mtwara and Ruvuma

Total cost (Tshs)

Source: Ministry of Livestock and Fisheries Development, 2013

1,102,849

59,122

2007/2008

Total

118,942

Quantity Supplied (litres)

Government Acaricide Subsidy Programme 2006/07 to 2012/2013

2006/2007

Year

3.1.2

83

50,000

549,000

0

123,680

100,000

2008/09

2009/10

2010/2011

2011/2012

2012/2013

541,388,000

50,000,000

45,200,000

86,576,000

0

226,188,000

40,000,000

40,000,000

70,000,000

70,000,000

Total cost (Tshs)

536,533

-

85,766

67,000

Implementing Project

DADPs

DADPs

DADPs

DADPs

2003/2004

2004/2005

2005/2006

2006/2007

Rehabilitation

Rehabilitation

0

0

0

0

Rehabilitation

Rehabilitation

91

Number of dips Constructed

Construction

Activity

Numberof dips rehabilitated

66

84

141

195

0

0

0

0

0

2,275,000,000

Cost (Tshs) Construction

0

362,700,000

321,293,447

540,933,814

975,000,000

Cost (Tshs) Rehabilitation

Disease Control Infrastructure (Dip rehabilitation and Construction) funded through District Agricultural Development Plans (DADPs) and Participatory Agricultural Development Empowerment Project (PADEP)

Year

3.1.5

Distribution procedures going on

Rabies vaccination campaign not carried/conducted Rabies vaccination is on- going in Arusha, Dar es Salaam, Dodoma, Iringa, Morogoro, Coast and Tanga.

Rabies vaccination campaign not carried/conducted

Dar es Salaam, Morogoro, Lindi, Coast and Mtwara

0

All regions of Tanzania mainlandexcept Lindi,Manyara,Mara and mbeya

111,601

All regions of Tanzania mainland exceptManyara, Lindi, Mtwara and Dar es Salaam

All regions of Tanzania mainland except Lindi and Mtwara which had no disease incidence

118,682 55,284

All regions of Tanzania mainland

98,120

Number of vaccinated Beneficiary regions animals

Source: Ministry of Livestock and Fisheries Development, 2013

1,020,000

50,000

2007/08

Total

100,000

2006/07

71,000

100,000

2005/06

2013/2014

Number of Doses procured

Government Subsidy Programme in the Control of Rabies 2005/06 to 2009/2010

Year

3.1.4

84

DADPs

DADPs

DADPs

DADPs

DADPs

PADEP

2008/2009

2009/2010

2010/2011

2011/2012

2012/2013

2003 -2006 439

0

Rehabilitation

0 28

Construction

Rehabilitation

0 14

Rehabilitation

Construction

57

0

Rehabilitation

Construction

37

Construction

0

Rehabilitation

0 50

Construction

Rehabilitation

0 70

Rehabilitation

Construction

92

Construction

Source: Ministry of Livestock and Fisheries Development, 2013

TOTAL

DADPs

2007/2008

835

10

0

20

0

51

0

30

0

50

0

74

0

114

0

9,022,031,765

0

857,159,765

0

318,818,000

0

1,108,011,000

0

681,699,000

0

1,172,142,000

0

1,165,597,000

0

1,443,605,000

5,800,279,211/=

30,892,950

0

195,641,000

0

561,057,000

0

189,930,000

0

1,033,088,000

0

764,888,000

0

824,855,000

0

3.1.6

Total Dips – Tanzania Mainland 2010 - 2011

S/No.

Region

1

Arusha

 

 

2

Dodoma

 

 

3

Dar es Salaam

 

 

4

Iringa

 

 

5

Kagera

District

Total Dips 37 2 33 52 30 154 17 15 21 41 22 15 131 0 2 0 2 0 61 52 31 57 18 20 239 25 10 27 24 2

10 1 5 12 5 33 4 7 15 9 12 7 54 0 2 0 2 0 36 22 12 14 6 9 99 12 8 23 13 0

Good 27 1 28 20 25 101 3 0 6 0 0 0 9 0 0 0 0 0 2 8 2 9 0 2 23 7 1 0 1 0

Misenyi

20

7

3

10

Karagwe

32

0

5

27

Arumeru Arusha Karatu Monduli Ngorongoro Sub total Dodoma U Bahi Chamwino Kondoa Mpwapwa Kongwa Sub total Temeke Kinondoni Ilala Sub total Iringa U Iringa R Mufindi Kilolo Njombe Makete Ludewa Sub total Ngara Biharamulo Muleba Bukoba Bukoba Manispaa

Chato  

 

Sub total Kigoma Town

6

Kigoma

 

 

Not Working (Status)

Working

Bad 0 0 0 20 0 20 10 8 0 32 10 8 68 0 0 0 0 0 23 22 17 34 12 9 117 6 1 4 10 2

9

6

2

1

149

69

19

61

2

0

0

2

Kigoma R

20

7

1

12

Kibondo

28

15

8

5

Kasulu

40

36

2

2

Sub total

90

58

11

21

85

7

Kilimanjaro

Moshi U Moshi R Hai Mwanga Rombo Same

 

 

Sub total

8

Lindi

 

 

9

Manyara

 

 

10

Mara

 

 

11

Mbeya

 

 

12

Morogoro

 

 

13

Mtwara

 

 

Lindi U Lindi R Nachingwea Liwale Ruangwa Kilwa Sub total Babati Hanang Simanjiro Mbulu Kiteto Sub total Musoma Bunda Serengeti Tarime Sub total Rungwe Mbarali Chunya Ileje Mbozi Kyera Mbeya Sub total Morogoro U Morogoro R Kilombero Kilosa Mvomero Ulanga Sub total Mtwara U Mtwara R Masasi Newala Tandahimba Nachingwea Sub total

86

2 20 21 14 11 11

0 12 10 0 2 6

0 4 9 4 9 5

2 4 2 10 0 0

79

30

31

18

4 4 6 5 2 3 24 38 26 21 36 25 146 29 25 29 45 128 30 29 11 11 29 12 20 142 4 22 5 44 18 7 100 10 38 7 6 5 7 73

0 2 0 0 2 1 5 3 14 5 11 15 48 2 12 18 3 35 6 20 1 4 4 6 9 50 4 14 0 17 16 5 56 7 20 5 5 4 2 43

2 0 1 0 0 1 4 2 8 16 13 5 44 3 8 5 14 30 0 4 6 6 7 2 2 27 0 4 3 0 0 0 7 3 10 2 1 1 3 20

2 2 5 5 0 1 15 33 4 0 12 5 54 24 5 6 28 63 24 5 4 1 18 4 9 65 0 4 2 27 2 2 37 0 8 0 0 0 2 10

14

Mwanza

 

 

15

Pwani

 

 

16

Rukwa

  17

  Ruvuma

 

 

 

 

18

Shinyanga

 

 

19

Singida

 

 

20

Tabora

 

 

Magu Sengerema Misungwi Kwimba Geita Nyamagana & Ilemela Ukerewe Sub total Kibaha Kisarawe Bagamoyo Mafia Mkuranga Rufiji Subtotal Sumbawanga U Sumbawanga R Mpanda Nkasi Sub total Songea U Songe R Namtumbo Mbinga Tunduru Sub total Bariadi Kahama Bukombe Shinyanga R Shinyanga U Kishapu Maswa Meatu Sub total Singida R Singida U Iramba Manyoni Sub total Tabora DC Uyui Igunga Nzega Sikonge Urambo Sub total

87

35 32 31 27 32 25 16 198 13 6 34 5 0 5

25 20 4 4 5 16 8 82 6 5 13 2 0 1

5 6 3 6 3 4 4 31 0 0 0 0 0 0

5 6 24 17 24 5 4 85 7 1 21 3 0 4

63

27

0

36

10 22 12 14 58 4 19 8 26 11 68 29 39 10 17 9 24 42 16 186 59 9 43 31 142 6 18 25 33 20 25 102

6 15 4 11 36 3 6 4 17 2 32 9 12 9 5 2 4 11 3 55 22 6 11 21 60 1 10 17 21 10 10 59

2 5 0 0 7 0 4 0 0 0 4 13 14 0 0 2 5 6 6 46 14 2 16 6 38 3 6 0 5 10 7 24

2 2 8 3 15 1 9 4 9 9 32 7 13 1 12 5 15 25 7 85 23 1 16 4 44 2 2 8 7 0 8 19

21

Tanga

   

  Grand Total

Tanga Lushoto Korogwe Muheza Handeni Pangani Kilindi Sub total  

15 20 14 15 17 18 16 115 2,414

10 10 9 9 13 10 6 67 1010

Source: Ministry of Livestock and Fisheries Development, 2013

88

0 2 0 0 4 3 5 14 497

5 8 5 6 0 5 5 34 907

89

31,225

31,225

32,248

32,248

44,362

44,362

44,832

45,234

47,635

47,635

49,721

50,120

2002 105,499

2003 105,499

2004 103,443

2005 103,443

2006 126,790

2007 126,790

2008 133,791

2009 135,769

2010 141,206

2011 141,206

2012 147,020

2013 147,644

364,602

322,313.0

290,473.6

294,474.0

288,058.5

281,690.9

284,346.9

292,518.7

320,566.0

312,040.0

301,855.0

273,856.0

283,354.0

36,321 36,321

-

36,321

36,321

36,321

36,247

36,247

29,754

29,754

19,071

19,071

19,071

19,071

20,625

7,664

7,664

7,664

7,664

7,664

7,342

7,342

7,190

7,190

4,927

4,927

4,927

4,927

5,157

FISHERS F/VESSELS

1,129,349,924.72

1,031,883,680.91

684,844,020.00

342,492,879.00

319,639,171.00

252,525,196.95

263,266,839.00

256,452,800.00

147,743,000.00

141,073,500.00

54,771,300.00

47,108,668.60

45,500,000.00

VALUES 000’

Source: Ministry of livestock and Fisheries Development 2013

25,014

2001 101,195

271,000.0

25,014

2000

81,704

WEIGHT (M.TON.)

FRESH WATER

YEAR FISHERS F/VESSELS

 

52,846

50,079.4

50,592.4

52,683.4

47,615.8

43,130.2

43498.5

48,590.5

54,968.6

50,470.0

49,270.0

49,674.5

52,934.9

49,900.0

WEIGHT (M.TON.)

MARINE

3.1 Trend of Fish Production - Tanzania (Mainland) From 2000 - 2013

CHAPTER 3.0: FISHERIES SECTOR

-

177,781,799.00

166,954,953.00

89,639,934.00

67,930,599.80

51,756,216.00

39,239,352.20

72,885,750.00

82,452,900.00

40,376,000.00

34,489,000.00

33,372,136.00

34,113,717.60

32,180,000.00

VALUES 000’

183,431

182,741

177,527

177,527

172,090

170,038

163,037

156,544

133,197

122,514

124,570

124,570

120,266

102,329

FISHERS

57,365

56,985

55,299

55,299

52,898

52,174

51,704

51,552

39,438

37,175

36,152

36,152

29,941

30,171

F/ VESSELS

774,483,954.00

410,423,478.80

371,395,387.00

291,764,549.15

336,152,589.00

338,905,700.00

188,119,000.00

175,562,500.00

88,143,436.00

81,222,386.20

77,680,000.00

VALUES 000’

375,158

-

365,023.4 1,307,131,723.72

341,066.0 1,198,838,633.91

347,157.4

335,674.3

324,821.0

327,845.4

341,109.2

375,534.6

362,510.0

351,125.0

323,530.5

336,288.9

320,900.0

WEIGHT (M.TON.)

TOTAL

90

51,426,207.32

41,148,261.00

2008

2009

38,573,600.00

57,795,513.60

2007

2013

44,495,623.37

2006

41,394,267.90

57,289,083.63

2005

2012

46,011,033.37

2004

37,996,433.30

42,352,738.09

2003

2011

32,662,878.21

2002

39,771,833.70

41,640,247.90

2001

2010

Weight (Kgs)

Year

44,260

45,550

61,215

40,552

53,188

33,066

25,502

21,741

21,025

15,784

24,500

28,301

80,577

Aquarium fish in pieces

3.2 Trend of Export performance from 2001-2013

147,659,778.56

163,299,365.50

152,973,356.80

187,427,053.51

161,053,645.66

174,409,214.42

173,272,670.44

138,120,145.08

141,597,362.21

112,761,195.13

129,605,815.44

105,779,930.56

95,435,102.38

Value (US $)

234,884,628.920.00

254,901,017,111.31

233,714,590,010.80

263,131,442,027.71

207,447,119,888.45

205,054,092,452.99

213,211,258,838.15

170,184,661,003.08

162,619,492,949.08

121,922,686,607.32

132,862,401,373.82

99,294,249,903.45

82,982,764,242.13

Value (TShs.)

6,117,769,193.74

6,819,926,007.14

6,153,278,023.30

5,876,103,557.44

6,410,191,231.99

6,629,846,700.13

7,589,576,913.91

6,236,615,179.19

9,142,768,083.78

7,190,356,743.06

7,789,955,962.69

5,957,654,995.03

5,244,333,672.01

Royality in (TShs.)

91

 

39,038,599.70

29,479,322.71

37,286,859.16

30,312,898.30

53,675,473.70

39,472,977.70

50,078,575.60

38,721,422.20

28,721,577.00

27,229,470.70

25,426,157.20

28,651,086.70

 

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

Weight (Kg)

Year

US $

141,130,279.24

127,601,694.31

139,666,995.10

130,644,300.10

153,740,723.30

158,442,058.50

126,829,665.70

129,184,492.60

76,261,406.40

112,049,948.54

88,231,655.07

86,178,585.67

Value

 

220,057,778,539.38

197,899,741,508.31

194,012,069,313.90

168,368,910,379.90

180,366,779,818.20

195,242,463,549.70

156,160,190,326.60

148,785,948,008.60

82,356,866,789.00

114,779,736,803.55

83,005,557,292.23

74,928,607,542.35

TSh.

3.3 Trend of Nile perch export performance from 2001-2013

4,958,318,313.08

4,299,987,312.20

4,509,670,993.80

4,628,409,654.50

5,412,912,979.20

6,660,034,977.00

5,491,786,878.80

8,419,301,970.40

5,171,324,343.40

6,707,948,377.98

4,980,333,437.53

4,685,276,229.20

Royalty (TSh.)

92

   

 

2.14 Landing sites with jetties

16

 

 

2.9 Landing sites with cold rooms Landing sites with non-working cold 2.1 rooms

2.13 Landing sites with Pantoons

 

2.8 Landing sites with working cold rooms

 

14

 

2.12 Landing sites with smoking kilns

 

 

2.6 Landing site with HIV-ARV services Landing sites with services to HIV/AIDS 2.7 orphans/widows

 

 

 

2.5 Landing sites with HIV-VCT services

2.11 Landing sites with drying racks

 

 

2.4 Landing sites with HIV awareness raising

 

 

 

 

 

 

 

 

 

2.3 Landing sites with primary schools

 

26

 

 

 

592

 

 

30

2002

2.2 Landing sites with health clinic

2.1 Landing sites with bandas (Fish shed)

 

 

1.3 Landing sites with mobile network

2 Landing site facilities

 

598

2000

1.2 Number of landing site with BMUs

1.1 Number of landing sites

1 Landing sites

Description

2004

 

 

 

 

9

 

 

 

 

 

 

 

 

28

 

 

 

575

 

2006

 

 

 

 

5

 

 

 

 

 

 

 

 

49

 

 

416

634

 

3.4 Summary of 2000, 2002, 2004, 2006, 2008, 2010 and 2012 Lake Victoria Frame surveys

 

26

13

131

56

 

3

 

139

164

280

332

375

183

44

 

471

584

584

2008

2010

45

13

104

52

4

10

6

165

212

310

363

374

192

74

 

559

513

609

 

2012

21

43

84

45

2

2

 

204

283

322

332

369

211

70

 

567

598

602

 

93    

6.4 Number of crafts using Sails

3,898

11,823

16

2,609

1,451 16

 

21,523

 

 

81,053

 

12

 

 

 

326

 

15,434

6.3 Number of crafts using Paddle

6.2 Number of crafts using Inboard engine

6 Mode of Propulsion Number of crafts using Outboard 6.1 engines

5.1 Number of fishing crafts

 

 

4.2 Number of Foot fishers

5 Fishing crafts

55,985

 

4.1 Total number of fishers

4 Fishers

 

3 Fisheries staff Number of landing sites served by 3.1 fisheries staff 12

 

2.24 Landing sites with fishing gear shops

201

2.22 Landing sites with net repair facilities  

201

2.21 Landing sites with boat repair facilities

2.23 Landing sites with engine repair facilities

188

138 318

1

 

2.19 Landing sites with potable water Landing sites accessible by all-weather 2.2 roads

4

26

21

23

 

18

5

24

2.18 Landing sites with public toilets

2.17 Landing sites with electricity supply

2.16 Landing sites with Fish Stores

2.15 Landing sites with Pantoons/Jetties

2,680

14,327

 

5,432

 

22,255

 

 

77,997

 

8

 

 

 

210

219

171

20

49

23

15

23

3,448

19,954

 

6,416

 

29,836

 

 

98,015

 

68

 

 

 

218

249

171

49

69

31

19

26

3,933

18,893

 

6,942

 

30,208

 

1,430

105,016

 

57

 

 

70

145

197

166

62

99

26

13

 

2,945

15,836

 

8,081

 

26,983

 

713

94,590

 

49

 

209

89

110

202

187

53

99

48

13

 

2,473

17,071

 

8,900

 

28,470

 

960

101,250

 

579

 

191

90

128

165

201

80

126

36

33

 

94

       

7.3 Sesse flat at one end

7.4 Sesse pointed at both ends

7.5 Rafts

7.6 Catamaran

 

8.3 Number of transport crafts (other goods)

< 2.5”

2.5”

3”

3.5”

4”

4.5”

5”

5.5”

10.1.2

10.1.3

10.1.4

10.1.5

10.1.6

10.1.7

10.1.8

27,118

88,477

5,679

4,082

2,303

13,220

 

 

 

10.1.1

 

 

10 Fishing Gears

10.1 Gillnets by size

71,338

184,943

30,716

29,475

11,307

16,741

925

7,470

 

3,434

 

 

 

1,077

 

 

495

16,524

3,850

287

367

 

 

3,213

9.1 Number of derelict crafts

 

 

8.2 Number of transport crafts (fish)

9 Derelict crafts

669

8.1 Total number of transport crafts

 

 

7.2 Parachute

8 Transport crafts

 

 

 

7.1 Dugout

7 Craft types

6.5 Number of crafts towed

169,139

272,224

17,150

10,184

5,290

6,323

7,736

10,693

 

 

5,882

 

 

 

769

 

 

1,197

14,744

5,831

191

292

 

 

64,672

207,386

31,087

23,708

8,497

10,549

6,666

11,926

 

 

5,540

 

 

848

1,320

 

317

4,216

18,658

6,251

126

268

 

 

155,747

369,845

65,572

30,215

11,471

9,403

10,163

17,092

 

 

5,087

 

876

840

1,716

 

127

1,918

20,571

6,938

439

215

 

 

20,444

31,186

8,475

6,166

3,317

6,285

3,194

17,406

 

 

4,736

 

730

596

1,326

 

102

1,457

16,867

8,133

246

183

 

75

22,460

31,915

9,234

12,847

9,887

13,194

8,929

32,898

 

 

4,563

 

752

518

1,270

 

59

1,383

17,473

9,135

199

221

 

26

95

10”

> 10”

10.1.15

10.1.16

 

480

198

1,139

   

   

-

10.3.2 Number of Long Line hooks size47

10.3.3 Number of Long Line hooks size810

 

729

1,905

-

-

-

 

812

3,647

2,142

 

 

1,996

 

 

425,703

72,788

410,209

270

198

296

21

530

6,343

7,836

57,294

 

 

10.3.1 Number of Long Line hooks size < 4

10.3 Hooks

10.2.6 Scoop nets

10.2.5 Lift nets

  Total number of small seines

10.2.1 Number of Small seines ≤5 mm Number of Small seines mesh size 6 - 7 10.2.2 mm Number of Small seines mesh size 8 - 10 10.2.3 mm Number of Small seines mesh size 10 10.2.4 mm

10.2 Dagaa fishing gears

226,169

9”

10.1.14

  Total number of gillnets

8”

10.1.13

 

85,290

7.5”

10.1.12

15,165

  Number of gillnets ≥6”

7”

10.1.11

8,929

200,258

6.5”

10.1.10

59,379

  Number of gillnets 10

 

1,030

135

1,522

 

39,404

580,046

-

 

598

66

1,592

 

19,186

442,960

-

 

92

30

1,665

 

35,479

745,663

-

4,801

604

43

1,776

 

29,887

6,001,863

4,137,774

2,905

928

44

1,301

 

20,400

6,202,318

4,160,618

7,944

897

94

2,079

 

16,754

6,359,887

4,547,208

97

38.0

38.6

18.5

2006

2007

2008

 

55.5

2005

0.0

0.0

2011

2012

2013

15.5

2010

2009

14.4

340.5

2004

188.9

2002

2003

208.4

2001

SWO

SHK - Sharks Others -e.g sail fish

KEY: SWO - Sword fish YFT - Yellow fin tuna BET - Big eye tuna ALB - Albacore SKIP JACK - Skip jack tuna MARL - Marlin

YEARS/TYPE

YFT

2,215.0

272.0

250.3

350.0

1,281.2

842.5

1,829.7

1,979.7

21,758.8

3,044.7

356.9

60.2

BET

751.0

62.0

197.6

191.0

1,731.5

209.5

390.0

505.6

5,615.9

180.5

82.0

23.3

 

ALB

0.0

0.0

54.4

3,786.4

91.7

76.5

293.4

7,351.2

72.4

55.3

35.9 0.0

1.3

3,413.0

683.0

373.0

157.0

241.0

3.2

1,030.0

281.0

972.2

1,734.0

SKIP JACK

 

0.4

0.0

18.5

0.0

0.0

8.7

24.9

659.2

71.1

13.3

1,265.2

MARL

 

SHK

3.5 Catch trend on Tuna and Tuna like species fisheries 2001 -2011 (weight in metric tones)

0.0

0.0

16.8

78.0

137.5

4.6

1.1

0.0

0.0

48.0

0.0

 

0.0

0.0

105.3

2,985.2

23.2

2,906.0

9,854.9

11,529.8

9,870.2

4,173.2

2,158.4

OTHERS

6,379.0

1,017.0

1,021.6

698.0

10,146.6

2,005.3

6,345.9

12,984.4

48,833.5

14,916.5

4,904.2

2,506.0

TOTAL

98

99

Source: Ministry of Livestock and Fisheries Development, 2013

Per capital fish consumption (kg)

National fish consumption (kg)

Aquaculture export (mainly prawns)

Export of fish/fish production in kg

Aquaculture production (Tilapia &others)

National fisheries production(kg) (capture production)

Imports of fish/fishproducts for direct human consumption(kg)

Population size

Estimation of fish consumption for 2010 & 2011

3.6 Estimated Fish Consumption

7.8

310,144,888.30

 

39,771,833.70

 

347,156,950.00

2,759,772

40,000,000

2010

7.7

306,228,217.70

280,000

37,996,433.30

222,000.00

341,065,980.00

3,216,671.00

40,000,000

2011

7.57

340,217,451.01

116,688

41,394,267.86

3,628,500.00

373,214,217.87

4,885,689.00

44,929,002

2012

100

1

5

10

18

40

43

49

2000

2001

2002

2003

2004

2005

2006

16

2010

2013

2012

 

15

2008

2011

29

2007

 

1

1999

6*

 

1998

Long line

 

36

38

34

20

35

 

38

36

41

26

 

1

 

 

 

Purse seine

 

 

 

   

 

 

 

 

 

4

 

 

 

 

 

9*

Trawller

GEAR TYPE

* Tanzanian’s citizen fishing vessels

 

 

 

YEAR

 

   

 

2

 

 

 

 

 

 

 

 

 

 

Pole and Line

   

36

38

50

36

66

6*

87

79

85

44

10

6

1

1

9*

 

LICENSEDFISHING VESSELS

 

1,305,698.00

1,222,310.00

1,297,400.00

538,500.00

956,000.00

 

1,176,000.00

1,275,100.00

751,000.00

159,000.00

108,000.00

11,000.00

11,000.00

1,285,000.00

 

(USD)

LICENSE FEES

3.7 Trend of EEZ Fishing Vessels (Tuna and Tuna Like Species from 1998-2012

 

   

 

 

14,696,003.00

 

 

 

 

 

 

 

 

12,895,986.00

 

(Tsh)

LICENSE FEES

101

3.8 Fishery products Processing Plants - 2012/2013 S/No. Region

Name of Factory

Processing Capacity (tons/day)

Current Status

Current Production (tons/day)

% Utilization Capacity

1

Mwanza

Vic Fish Ltd

140

Working

60

43

2

Mwanza

Nile Perch Fisheries Ltd

100

Working

70

70

3

Mwanza

Tanzania Fish Processors Ltd

120

Working

80

67

4

Mwanza

Mwanza Fishing Industries Ltd

120

Working

50

42

5

Mwanza

Omega Fish Ltd

70

Working

10

14

6

Mara

Prime Catch (Exporters Ltd)

100

Working

50

50

7

Mara

Musoma Fish Processors

60

Working

35

58

8

Kagera

Kagera Fish Company Ltd 20

Working

20

100

9

Kagera

Vic Fish Ltd

60

Working

30

50

10

Mwanza

Tanzania Fisheries Development Co. Ltd.

 

Not Working

 

 

11

Mwanza

TanPerch Ltd

 

Not Working

 

 

12

Rukwa

Migebuka Fisheries Ltd

2

Working

1.3

65

13

Tanga

Sea Products TanzaniaLtd 6

Working

1

17

14

DSM

Royal African Lobsters Tropical Ltd

3

Working

1

33

15

DSM

Alphakrust Ltd

3

Working

2

67

16

DSM

Bahari Foods Ltd

4

Working

1

25

17

DSM

Asmara Trading

2

Working

1.5

75

18

DSM

Siza Cold Storage

2

Working

1.2

60

19

Pwani

Tanpesca Mafia Plant Ltd

20

Working

10

50

20

DSM

Ab Marine

0.8

Working

0.4

50

21

DSM

Shiloh Sea Foods

0.7

Working

0.2

29

22

DSM

E M Sea Foods

0.9

Working

0.5

56

23

DSM

Kassanda Enterprises Ltd

0.8

Working

0.3

38

24

DSM

N.F Trading Co.Limited

0.7

Working

0.3

43

25

DSM

Hesam Oceanic Sea Products

0.8

Working

0.6

75

26

DSM

Masaki Sea Products

0.8

Working

0.2

25

102

Product name

Nile Perch

Migebuka

Cephalopods & Crusteceans

Live Lobsters & Crabs

S/No. Region

Name of Factory

Processing Capacity (tons/day)

Current Status

Current Production (tons/day)

% Utilization Capacity

27

DSM

Eches Marine

0.5

Working

0.2

40

28

DSM

Kn Enterprises

0.8

Working

0.6

75

29

DSM

J.S Marine

0.7

Working

0.6

86

30

DSM

Marine Food Products Ltd

1

Working

0.7

70

31

DSM

Kayuyu Trading Co

1

Working

0.5

50

32

DSM

Lim Trading Co.Ltd

1

Working

0.8

80

33

DSM

Sasha Marine

0.9

Working

0.7

78

34

DSM

Codex Seafoods

1.2

Working

0.9

75

35

DSM

Iddom Ocean Products

0.7

Working

0.5

71

36

DSM

Robert Pahali

0.6

Working

0.3

50

37

DSM

Joseph Mpepo

0.5

Working

0.2

40

38

DSM

Nyavita Aquarium Fish Exporters Ltd

4,000

Working

3,500

88

39

DSM

Tanzania Cichlids Co. Ltd

6,000

Working

5,000

83

40

DSM

Tanganyika Sun Shine

3,000

Working

1,800

60

41

DSM

Nunu M. Mwamba

3,500

Working

3,400

97

42

DSM

Rift Valley Cichlids

3,000

Working

2,600

87

43

DSM

Cichlid land

2,000

Working

1,000

50

103

Product name

Aquarium Fish

3.9: Certificate of Accreditation (No. T 0327) given to National Fish Quality Control Laboratorios – Nyegezi, Mwanza

104

105

Year 310.7

20012002

3,500

Price per Kg (Tshs)

3,500

20012002

-

-

Production of mwatiko (Tons)

Price per Kg (Tshs) -

-

-

20012002

Note: Production started in 2006/2007

-

20002001

No. of Ponds

Year

Production of Fish - Mwatiko type

20002001

4.4

6,353

8,013

20022003

9,005

11,211

20032004

400.6

20022003 560.5

20032004 650.5

20042005

11,245

13,011

20042005

-

-

-

20022003

4,000

20022003

-

-

-

20032004

4,000

20032004

-

-

-

20042005

4,000

20042005

Price of Fish under Fish Farming (Perege and Kambare)

200

20002001

Year

4.3

4,011

6,215

20012002

Production of Fish Farming (Perege and Kambare)

Production of Fish (Tons)

4.2

3,347

No. of Aquaculture farmers

20002001

4,000

Year

Number of Ponds (Perege and Kambare)

AQUACULTURE

No. of Ponds

4.1

CHAPTER 4.0:

-

-

-

20052006

4,000

20052006

715

20052006

11,897

14,300

20052006

5,000

0.9

46

20062007

5,000

20062007

806.1

20062007

13,861

16,121

20062007

5,000

2.5

53

20072008

5,000

20072008

864.6

20072008

14,136

17,292

20072008

5,000

5.1

64

20082009

6,000

20082009

936

20082009

14,907

18,720

20082009

5,000

6.2

96

20092010

6,000

20092010

951.9

20092010

15,227

19,039

20092010

6,000

8.5

146

20102011

6,000

20102011

958.7

20102011

15,982

19,174

20102011

7,000

10.2

146

20112012

6,000

20112012

972.1

20112012

16,873

19,443

20112012

5,000

403.2

250

20122013

6,000

20122013

2989.5

20122013

17,511

19,930

20122013

106

Year

Year

-

20002001

-

-

Number of farmers -

-

-

20012002

-

20012002

-

Number of farmers

-

-

-

20012002

Note: Production started in 2007/2008

-

Price per piece

20002001

-

Year

Production of Lulu

Production(piece)

4.8

Note: Production started in 2007/2008

-

Price per Kg (Tshs)

2000-2001

Production(Tons)

Year

Production of crabs

Note: Production started in 2003/2004

4.7

-

20012002 -

20022003 150 150

20032004 170 200

20042005

-

-

-

20022003

-

-

-

20022003

-

20022003

-

-

-

20032004

-

-

-

20032004

1,062

20032004

-

-

-

20042005

-

-

-

20042005

1,011

20042005

Number of Farmers Engaged in production of Mwani

Number of farmers

4.6

-

20002001

Production and Price of Mwani

Production(Tons) Price per Kg (Tshs)

4.5

-

-

-

20052006

-

-

-

20052006

1,108

20052006

194.3 200

20052006

-

-

-

20062007

-

-

-

20062007

1,150

20062007

200.1 200

20062007

-

10,000

57

20072008

-

5,000

0.1

20072008

1,317

20072008

329.6 200

20072008

-

10,000

400

20082009

-

5,000

0.3

20082009

1,507

20082009

449.1 300

20082009

-

10,000

2,105

20092010

-

5,000

1.5

20092010

1,774

20092010

552.8 300

20092010

1,300

20112012

-

5,000

7

20112012

2,021

20112012

651.9 400

20112012

-

-

10,000 10,000

1,221

20102011

-

5,000

5.1

20102011

1,800

20102011

688.5 400

20102011

1

10,000

1,031

20122013

15

5,000

200

20122013

5000

20122013

401.13 400

20122013

107

1

1

20012002

1

1

20022003

1

1

20032004

1

1

20042005

1

1

20052006

1

1

20062007

1

1

20072008

2

2

20082009

2

2

20092010

20002001

500,000

400,000

Year

Centres under Government

Centres under Private Sector

400,000

500,000

20012002

400,000

500,000

20022003

400,000

500,000 400,000

500,000 400,000

500,000

400,000

500,000

400,000

1,000,000

2003-2004 2004-2005 2005-2006 2006-2007 2007-2008

440,000

1,000,000

2008-2009

600,000

1,000,000

2009-2010

2,500,000

3,311,406

2010-2011

3

2

2,600,000

3,000,000

3

3

20122013

2,600,000

2,500,000

2012-2013

20112012

2011-2012

3

2

20102011

(i) Luhila (Ruvuma) Private: (i) J and B Luhanga Fish Farming (Muleba) (ii) Kingolwira (Morogoro) (ii) Faith Aquaculture (Kibamba, Dar) (iii) Mtama (Lindi) (iii) Eden Fish Farm (Chanika, Dar)

4.10 Production of Fish Fingerlings

Government:

1

No. of Centres under Private Sector

20002001

1

Year

Centres for Production of Fish Fingerlings

No. of Centres under Government

4.9

108

50

Centres under Private Sector

50

20

20012002

100

20

20022003

150

20

20032004

150

20

20042005

 

 

 

1 2 3 ARUSHA 4 5 6

REGION

  14 15 MARA 16 17

7 8 9 10 KILIMANJARO 11 12 13

S/NO

  TARIME RORYA MUSOMA (M) MUSOMA (V)

  MOSHI (M) MOSHI (V) MWANGA HAI SAME ROMBO SIHA

ARUMERU ARUSHA NGORONGORO KARATU MONDULI LONGIDO

DISTRICT

247 49 84 50 18 870 4 13

207 9 17 7 1 6

1,088 55 4 5 32

NO. FISH FARMERS

988 71 14 14 32

646 49 132 52 18 720 4 13

NO.FISH PONDS 614 12 6 7 1 6

4.12: Aquaculture Production by Region and District - 2012/2013

20

20002001

Centres under Government

Year

4.11 Price of Fish Fingerlings

1,050   150 150 150 150

900   150 150 150 150 150 150 150

150 150 150 150 150 150

200

20 200

20

20072008

300 300 300 300

300 300 300 300 300 300 300

300 300 300 300 300 300

200

20 50

20

20092010

50

50

20102011

148,200 10,650 2,100 2,100 4,800

96,900 7,350 19,800 7,800 2,700 108,000 600 1,950

92,100 1,800 900 1,050 150 900

PRODUCTION (KG)

20082009

STOCKING RATE

20062007

AREA (M² )

150

20

20052006

200-300

50-150

20122013

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

SPECIES NAME

50

50

20112012

109

 

41

Total

NACHINGWEA

40

 

RUANGWA

36 37 38 LINDI 39

  MTWARA (M) MTWARA (V) MASASI NEWALA NANYUMBU TANDAHIMBA

  CHAMWINO KONDOA MPWAPWA BAHI KONGWA DODOMA (M)

  SINGIDA (M) SINGIDA (V) IRAMBA MANYONI

BUNDA SERENGETI

  KILWA LINDI (M) LINDI (V) LIWALE

  30 31 32 MTWARA 33 34 35

 

 

  24 25 26 DODOMA 27 28 29

 

 

  20 21 SINGIDA 22 23

 

18 19

1,003

158

48

867 152 62 223 360

50 82 396 224 100 22 43

70 8 4 18 4 6 10

152 46 18 6

22 34

269

28

11

268 17 42 146 25

50 17 33 103 77 14 24

70 8 4 18 4 6 10

194 46 18 6

24 39

900  

150

150

900   150 150 150 150

900   150 150 150 150 150 150

600   150 150 150 150 150 150

900   150 150 150 150

150 150

300

300

300 300 300 300

300 300 300 300 300 300

300 300 300 300 300 300

300 300 300 300

300 300

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

40,350  

4,200 Oreochromis niloticus

1,650 Oreochromis niloticus

40,200 2,550 6,300 21,900 3,750

7,500 2,550 4,950 15,450 11,550 2,100 3,600

10,500 1,200 600 2,700 600 900 1,500

29,100 6,900 2,700 900

3,600 Oreochromis niloticus 5,850 Oreochromis niloticus

110

  61 62 GEITA 63

 

 

Kilombero

48

 

Kilosa

47

  55 56 57 MWANZA 58 59 60

Ifakara

46

 

Ulanga

45 MOROGORO

Total

Total Geita Chato Sengerema

Total Ukerewe Nyamagana Ilemela Kwimba Misungwi Magu

Total Mafia Rufiji Kisarawe Mkuranga Kibaha Bagamoyo

Morogoro (V)

44

  49 50 51 PWANI 52 53 54

Morogoro (M)

43

 

Mvomero

42

39

419 9 22 8

215 78 9 17 1 240 74

591 158 35 4 10 8

24

4

51

224

105

10

173

41

144 12 17 12

77 40 34 18 1 38 13

638 21 7 22 7 20

27

2

12

309

105

10

173

450  

900   150 150 150

900   150 150 150 150 150 150

1,050   150 150 150 150 150 150

150

150

150

150

150

150

150

300 300 300

300 300 300 300 300 300

300 300 300 300 300 300

300

300

300

300

300

300

300

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

6,150  

21,600 1,800 2,550 1,800

11,550 6,000 5,100 2,700 150 5,700 1,950

95,700 3,150 1,050 3,300 1,050 3,000

4,050 Oreochromis niloticus

300 Oreochromis niloticus

1,800 Oreochromis niloticus

46,350 Oreochromis niloticus

15,750 Oreochromis niloticus

1,500 Oreochromis niloticus

25,950 Oreochromis niloticus

111

 

 

 

 

Namtumbo

72

 

  80 81 IRINGA 82 83

73 74 75 76 MBEYA 77 78 79

Total

Total Iringa (M) Iringa (V) Kilolo MUFINDI

Kyela Rungwe Mbalali Mbozi Ileje Mbeya (M) Mbeya (V)

Total

Songea (V)

71

 

Songea (M)

70 RUVUMA

Total Tunduru

Sumbawanga(V)

Sumbawanga Mjini

Mbinga

 

RUKWA

Nkasi Mpanda

69

68

67

66

64 65

2,123

1,080 154 64 405 1,500

68 460 221 41 188 20 82

3,844

200

1,327

1,051

951

751 315

107

471

123 50

2,220

1,098 5 6 405 1,804

8 460 221 89 188 20 112

8,429

44

3,227

3,571

1,124

535 463

107

256

124 48

600  

1,050   150 150 150 150

150 150 150 150 150 150 150

750  

150

150

150

150

600   150

150

150

150 150

300 300 300 300

300 300 300 300 300 300 300

300

300

300

300

300

300

300

300 300

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

333,000  

164,700 750 900 60,750 270,600

1,200 69,000 33,150 13,350 28,200 3,000 16,800

1,264,350  

6,600 Oreochromis niloticus

484,050 Oreochromis niloticus

535,650 Oreochromis niloticus

168,600 Oreochromis niloticus

80,250   69,450 Oreochromis niloticus

16,050 Oreochromis niloticus

38,400 Oreochromis niloticus

18,600 Oreochromis niloticus 7,200 Oreochromis niloticus

112

  100 101 102 TABORA 103 104 105

 

 

  97 98 KIGOMA 99

 

 

  89 90 91 92 TANGA 93 94 95 96

 

84 85 86 MANYARA 87 88

Total

201

285 50 5 54 41 44 7

150

Kigoma Vijijini

Total Urambo Tabora Mjini Nzega Igunga Sikonge Uyui

459 135 -

140 63 23 40 120 2 1 210

25 44 8 55 8

Total Kasulu Kibondo

Total Kilindi Mkinga Handeni Lushoto Pangani Korogwe Tanga jiji Muheza

Babati (M) Babati (V) Mbulu Hanang Kiteto

200

274 40 18 31 26 78 7

120

535 154 -

144 19 6 45 293 7 1 164

54 51 8 15 16

900  

450   150 150 150 150 150 150

150

1,200   150 150

750   150 150 150 150 150 150 150 150

150 150 150 150 150

300 300 300 300 300 300

300

300 300

300 300 300 300 300 300 300 300

300 300 300 300 300   Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus 30,000  

41,100 6,000 2,700 4,650 3,900 11,700 1,050

18,000 Oreochromis niloticus

80,250   23,100 Oreochromis niloticus - Oreochromis niloticus

21,600 2,850 900 6,750 43,950 1,050 150 24,600

8,100 7,650 1,200 2,250 2,400

113

 

  122 123 NJOMBE 124 125

 

 

  118 119 SIMIYU 120 121

 

 

  115 116 DAR ES SALAAM 117

 

 

  112 113 SHINYANGA 114

 

106 107 108 KAGERA 109 110 111

Grand Total

Total

Total WAGING’OMBE MAKETE LUDEWA NJOMBE

Total BARIADI MEATU MASWA BUSEGA

Total Ilala Temeke Kinondoni

Total Kahama Shinyanga (v) Kishapu

Muleba Chato Biharamulo Bukoba vijijini Karagwe Bukoba mjini

16,500

3,256

985 1,360 461 450

82 -

31 14 52 16

374 20 10 1

35 22 20 176 85 36

19,592

2,652

1,015 127 461 1,049

110 -

32 25 49 36

246 18 13 1

80 17 22 39 54 34

36,900

600

600 150 150 150 150

450 150 150 150 150

450   150 150 150

900   150 150 150

150 150 150 150 150 150

 

 

  300 300 300 300

  300 300 300 300

300 300 300

300 300 300

300 300 300 300 300 300   Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

5,958,000

397,800

152,250 19,050 69,150 157,350

16,500 -

 

 

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

  Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus Oreochromis niloticus

4,800   3,750 Oreochromis niloticus 7,350 Oreochromis niloticus 5,400 Oreochromis niloticus

36,900 2,700 1,950 150

12,000 2,550 3,300 5,850 8,100 5,100

114

1.

TANPESCA - Mafia

Kikundi cha Simbo - Kigoma

6

Marine Water - Kambamiti

Ruhila Mtama Faith Aquacultre Service - Kibamba Dar es Salaam J & B Luhanga Fish Farm - Muleba Montfort Agricultural Secondary School - Mbarali

2 3 4 5 6

Total

Kingolwira

Cold Water - Perege Producer/Center

1

S/No.

4.13: Production of Fish Fingerlings - 2012/2013 Number

11,520,000

2,066,620

1,050

127,617 83,333 540,000 250,000 12,000

1,052,620

115

27

58

61

51

35

36

0

51

59

91

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

MPWAPWA

15

7

16

18

19

18

18

0

39

49

48

67

63

367

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

Total

Total

5

701

2012

2000

84

133

2011

Male

2000

TENGERU

192

42

31

33

24

12

0

7

9

8

11

6

5

4

360

80

42

48

34

24

0

16

22

14

33

20

16

11

Female

AHPC/CALP

Year

Institute

274

28

31

37

20

23

27

10

11

28

31

28

0

0

402

0

24

55

37

44

67

16

37

23

36

28

22

13

Male

9

7

86

10

13

12

7

4

12

4

4

8

10

2

0

0

196

0

14

29

20

22

38

2

9

14

17

15

Female

DAP

269

0

35

38

37

31

87

26

0

15

0

0

0

0

698

0

45

64

41

68

102

48

65

42

62

57

58

46

Male

86

0

10

13

9

9

21

13

0

11

0

0

0

0

260

0

26

25

22

21

28

12

29

33

23

18

11

12

Female

DAH

0

0

0

0

0

0

0

0

0

0

0

0

34

34

0

0

0

0

0

0

0

0

0

0

0

0

65

65

Male

Female

DAHP

16

16

0

0

0

0

0

0

0

0

0

0

0

0

31

31

0

0

0

0

0

0

0

0

0

0

0

0

Male

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Female

CVLT

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Male

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Female

DVLT

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

74

0

0

0

0

0

0

2

5

8

18

17

10

14

Male

Course Type

0

0

0

0

0

0

0

0

0

0

0

0

0

0

74

0

0

0

0

0

0

6

5

18

22

11

4

8

Female

HD

CHAPTER 5.0: LIVESTOCK TRAINING INSTITUTES (LITA) 5.1 Number of Students Enrolled in Livestock Training Institutes: 2000-2012

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Male

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Female

DRT

0

0

0

0

0

0

0

0

0

0

0

0

0

0

221

0

0

0

0

0

0

23

24

21

32

32

42

47

Male

0

0

0

0

0

0

0

0

0

0

0

0

0

0

88

0

0

0

0

0

0

9

10

8

13

12

16

20

Female

DGA

7 0 12 24 33 31 42

18 0 39 49 48 67 63

192

9

367

8

80

18

42

84 133

19

48

91

11

34

59

18

24

51

6

0

0

16

16

36

5

22

35

7

14

51

4

33

61

360

20

58

5

16

27

701

11

Female

577

62

66

75

57

54

114

36

11

43

31

28

0

0

1460

65

69

119

78

112

169

89

131

94

148

134

132

120

Male

Sub total

15

Male

CERT

189

26

23

26

16

13

33

17

4

19

10

2

0

0

649

31

40

54

42

43

66

29

53

73

75

56

40

47

Female

DIP

944

125

133

123

106

93

114

54

29

62

49

44

7

5

2161

198

153

210

137

163

169

125

166

145

209

192

159

135

Male

381

68

54

59

40

25

33

24

13

27

21

8

5

4

1009

111

82

102

76

67

66

45

75

87

108

76

56

58

Female

Grand Total

116

TEMEKE

BUHURI

MADABA

MOROGORO

20

19

0

35

42

48

39

66

343

2004

2005

2006

2007

2008

2009

2010

2011

2012

Total

0

0

0

0

0

0

0

0

2007

2008

2009

2010

2011

2012

Total

75

Total

0

75

2012

2006

0

2011

2005

0

2010

Total

0

254

2012

2009

89

2011

0

46

2010

0

44

2009

2008

32

2008

2007

0

13

2007

17

33

2003

13

8

2002

2006

15

2001

2005

7

11

2000

0

0

0

0

0

0

0

0

0

33

33

0

0

0

0

0

171

71

32

21

14

13

0

11

9

242

59

33

34

21

19

0

12

11

23

9

9

6

6

0

0

0

0

0

0

0

0

0

233

0

77

61

47

26

22

99

0

24

28

21

11

15

0

0

190

0

16

32

16

11

35

19

11

13

12

11

8

6

0

0

0

0

0

0

0

0

0

91

0

25

36

14

9

7

25

0

6

9

3

1

6

0

0

110

0

8

12

12

9

14

11

4

6

10

15

6

3

9

48

0

0

0

0

17

31

0

0

0

0

0

0

0

0

0

49

0

0

0

0

21

28

0

0

344

0

17

33

28

19

43

58

35

27

14

28

33

13

0

0

0

0

7

6

0

0

0

0

0

0

0

0

0

17

0

0

0

0

10

7

0

0

139

0

17

13

8

17

21

8

13

10

12

10

8

2

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

14

14

0

0

0

0

0

0

0

29

29

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

4

4

0

0

0

0

0

0

0

17

17

0

0

0

0

0

0

0

0

0

0

0

0

38

38

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

14

14

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

86

0

18

36

17

0

0

6

9

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

31

0

9

14

4

0

0

3

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

101

0

5

0

7

0

16

5

9

15

14

6

23

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

7

0

4

0

1

0

1

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

7

0 0 0 33

0 0 0 75

0 0 0 0 0 14

0 0 0 0 0 38

14

0

0

38

0

0

33

0

75

0

71

89

0

32

46

0

21

44

171

14

32

254

0 13

0

17 13

9 11

13

242

59

33

34

21

19

0

12

11

23

9

9

6

6

343

66

39

48

42

35

0

19

20

33

8

15

11 22 16 18 19 36 26 21 25 29 17

45 40 55 55 82 94 30 51 65 38 29

134

0

18

36

17

17

31

44

0

9

14

4

7

6

3

1

9 6

91

0

25

36

14

9

7

46

4

06

9

3

11

13

0

0

233

0

77

61

47

26

22

175

14

24

28

21

45

43

0

0

273

25

64

663

5 14

15

172

38

18

36

17

17

31

6

9

308

75

77

61

47

26

22

429

103

70

72

53

58

43

17

13

996

85

77

113

93

65

94

101

75

88

48

60

75

22

58

14

9

14

4

7

6

3

1

124

33

25

36

14

9

7

217

75

38

30

17

24

13

11

9

525

86

62

59

42

45

36

31

29

39

31

34

20

11

117

56

56

2012

Total

4

4

0

0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0

KEY: AHPC: Certificate in Animal Health and Production DAP: Diploma in Animal Production DGA: Diploma in General Agriculture DRT: Diploma in Range Management and Tsetse Control

MPWAPWAMABUKI 0

0

0

0 0

0 0

0 0

0 0

0 56

56 4

4 0

0 0

0

DAH: Diploma in Animal Health HD: Horticultural Diploma DVLT: Diploma in Veterinary Laboratory Technology CVLT: Certificate in Veterinary Laboratory Technology

0

0 56

56

4

4

118

MOROGORO

MPWAPWA

TENGERU

Institute

5 17 13 22 39 51 36 25 35 0 50 52 88

433

0 0 5 7 14 18 18 18 17 0 0 49 48 194 1 7 5 9 15 5 33 18 16 0 29 40

42

219

Total

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Total 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

2012

Total

Male

131

25

0 0 4 5 6 9 7 8 6 0 0 24 33 102 4 3 5 4 7 5 22 11 12 0 14 19

205

10 2 10 12 13 29 8 14 17 0 21 34 35

Female

AHPC

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Year

142

25

0 0 0 0 28 31 28 11 10 25 20 19 26 198 0 0 4 6 7 7 13 12 17 30 8 13

351

9 15 11 16 24 21 17 20 16 65 41 37 59

Male

86

9

0 0 0 0 2 10 8 4 3 12 3 9 11 62 0 0 3 5 11 9 5 3 10 10 10 11

157

0 7 6 6 9 14 12 6 2 32 21 20 22

Female

DAP

296

30

0 0 0 0 0 0 15 18 38 84 31 38 32 256 0 0 7 27 21 13 24 34 55 41 19 25

613

23 32 41 51 43 48 25 41 49 99 64 40 57

Male

101

12

0 0 0 0 0 0 11 8 13 24 9 7 10 82 0 0 1 4 7 10 7 10 5 19 17 9

193

6 8 12 8 13 19 11 15 11 27 18 21 24

Female

DAH Male

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 0 0 0

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 0 0 0

Female

DAHP

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 0 0 0

Male

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 0 0 0

Female

CVLT Male

5.2 Graduates from Livestock Training Institutes 2000 – 2012

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 0 0 0

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0 0 0 0 0 0 0 0 0 0 0 0 0

Female

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

59

3 4 13 8 9 11 4 4 3 0 0 0 0

Male

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

66

7 7 7 3 8 14 12 3 5 0 0 0 0

Female

Course Type DVLT HD

81

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 21 6 14 9 6 0 16 0 7

0

0 0 0 0 0 0 0 0 0 0 0 0 0

Male

3

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1

0

0 0 0 0 0 0 0 0 0 0 0 0 0

Female

DRT

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

191

0 0 39 42 27 26 19 15 23 0 0 0 0

Male

0

0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

79

0 0 27 16 5 7 7 8 9 0 0 0 0

Female

DGA

220

131

25

0 0 4 5 6 9 7 8 6 0 0 24 33 102 4 3 5 4 7 5 22 11 12 0 14 19 42

205

0 0 5 7 14 18 18 18 17 0 0 49 48 194 1 7 5 9 15 5 33 18 16 0 29 40

10 2 10 12 13 29 8 14 17 0 21 34 35

Female

433

5 17 13 22 39 51 36 25 35 0 50 52 88

Male

21 194

55 519

0 0 0 0 2 10 19 12 16 36 12 16 21 144 0 0 4 9 18 19 12 14 15 30 27 21

495

13 22 52 33 35 54 42 32 27 59 39 41 46

Female

DIP

0 0 0 0 28 31 43 29 48 109 51 57 58 454 1 0 12 54 34 34 46 52 72 87 27 45

1214

35 51 104 117 103 106 65 80 91 164 105 77 116

Male

Sub total CERT

739

97

0 0 5 7 42 49 61 47 65 109 51 106 106 648 2 7 17 63 49 39 79 70 88 87 56 85

1647

40 68 117 139 142 157 111 105 126 164 155 129 194

Male

325

46

0 0 4 5 8 19 26 20 22 36 12 40 54 246 4 3 9 13 25 24 34 25 27 30 41 40

700

23 24 62 45 48 83 50 46 44 59 60 75 81

Female

Grand Total

119

TEMEKE

BUHURI

MADABA

8

8

0

13 26 43

98

0

0 0 55

0

0

0

0

0

0 0

0

0

2007

2008

2009

2010 2011 2012

Total

2009

2010 2011 2012

Total

2006

2007

2008

2009

2010 2011

2012

Total

0

0

0 0

0

0

0

0

0

0 0 36

0

58

12 14 21

0

5

6

0

0

0 0

0

0

0

0

0

21 47 0

22

74

11 21 27

15

0

0

0

0

0 0

0

0

0

0

36

9 14 0

6

20

1 3 10

6

0

0

36

0

17 0

19

0

0

0

12

0 0 0

0

49

21 0 0

28

0

0

12

0

7 0

5

0

0

0

0

0 0 0

0

13

6 0 0

7

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

48

0 0 0

0

0

0 0 0

0

0

0

48

28

0 16

0

3

0

1

29

0 0 0

0

0

0 0 0

0

0

0

29

11

0 3

0

6

0

9

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0

0 0 0

0

0

0 0 0

0

0

0

0

0

0 0

0

0

0

0

0 0

0

0

0

0 0

84

0 0 36

0 0 55 0

0

0

58

0

12 14 21

0

5

6

98

13 26 43

0

8

8

45 47 70

7 3 10

5 7 3 11

19 17 16 28

41

6

3

84

0

9

84

9 14 0

6

84

28

17 16

19

3

0

1

41

21 47 55

22

221

43

13

33

8

8

0

0

0

1

41

21 47 0

22

123

32 21 27

43

0

0

41

11

7 3

5

6

0

9

0

9 14 36

6

91

19 17 31

13

5

6

5.3 Number of livestock Farmers Trained at Livestock Training Institutes Institute

Year

Male

Female

Total

TENGERU

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Total

230 292 364 343 350 571 353 463 342 242 340 246 264 4,400

161 305 292 268 372 453 287 360 239 152 246 237 180 3552

391 597 656 611 722 1024 640 823 581 394 586 483 444 7,952

MPWAPWA

2000 2001 2002 2007 2008 2009 Total

106 107 0 140 30 30 413

59 59 25 80 0 0 223

165 166 25 220 30 30 636

MOROGORO

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Total

90 78 35 96 130 47 17 20 63 61 637

63 39 18 47 92 28 4 11 52 35 389

153 117 53 143 222 75 21 31 115 96 1026

MADABA

2002 2004 2008 Total

18 22 21 61

12 8 14 34

30 30 35 95

BUHURI

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Total

179 256 244 336 106 79 29 45 51 28 57 57 64 1,531

115 140 192 190 102 56 15 15 30 14 44 23 19 955

294 396 436 526 208 135 44 60 81 42 101 80 83 2,486

120

Source: Ministry of Livesock and Fisheries Development 2013 5.4 Number of livestock Farmers Trained at Farmers Training Centre (FTC) 2000/01- 2012 Year

Gender

Institute (FTC)  Mabuki

2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12

M F M F M F M F M F M F M F M F M F M F M F M F

Kikulula 256 32 57 33 183 16 64 17 78 124

Source:FTC Reports

121

Sub total 340 89 313 102 365 125 412 150 450 192 440 292 313 104 124 41 219 111 25 37 -

Grand total -  -  340 89 313 102 365 125 412 150 450 192 440 292 569 136 181 74 402 127 89 54 78 124

429 415 490 562 642 732 705 255 529 143 202

5.4 Number of Livestock at Livestock Training Institutes Year

TENGERU

2000

142

65

57

36

500

0

4

35

2001

152

60

62

80

600

0

2

45

2002

161

69

76

81

400

0

3

40

2003 2004 2005

187 199 217

65 47 53

71 56 41

45 56 112

1200 1300 1500

0 0 0

4 4 3

35 25 25

2006

192

53

48

71

800

0

2

35

2007

196

57

39

76

400

0

2

15

2008

218

69

40

52

300

0

2

15

2009

227

58

46

62

250

0

2

17

2010 2011 2012

214 191 195

59 53 45

46 50 51

30 41 41

120 115 130

0 0 0

2 2 2

15 40 43

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

38 46 46 52 62 74 72 73 78 94 97 105

22 24 36 55 38 31 28 40 44 58 33 50

16 12 20 26 30 23 28 33 39 49 17 25

29 31 15 14 13 33 23 29 59 31 61 32

17 57 137 493 348 31 213 5 50 0 0 132

23 27 28 54 74 57 20 26 21 22 25 50

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 13 30 9 29 8 14 0 19 30

2012

105

62

29

33

7

63

0

40

2000 2001 2002 2003 2004 2005 2006

55 60 53 48 70 62 71

40 39 34 48 33 30 29

18 20 26 28 21 24 16

23 13 12 8 20 17 3

0 34 0 226 0 0 22

0 0 0 0 0 0 0

0 0 0 4 4 3 3

10 17 22 23 16 9 10

2007

51

25

20

42

130

0

2

15

2008 2009 2010 2011 2012

27 66 63 58 60

40 52 26 30 32

13 19 21 23 28

37 63 22 31 32

219 0 170 0 53

0 0 2 0 0

2 2 2 2 2

25 23 5 6 49

MPWAPWA

MOROGORO

Cattle

Goats

Sheep

Pigs

122

Chicken

Horses/ Donkeys

Institute

Ducks

Rabbits

BUHURI

MADABA

2003 2004 2005 2006 2007 2008 2009 2010

? 396 377 360 376 286 293 330

0 0 0 0 0 24 25 46

0 0 0 0 0 0 4 13

0 0 0 0 0 0 0 0

0 0 0 0 0 164 0 0

0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0

2011

306

59

19

0

218

0

0

0

2012

331

41

18

0

487

0

0

0

2012

58

88

53

10

565

0

0

0

5.5 Number of Employees in Livestock Training Institutes Institute

Year

TENGERU

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

MPWAPWA

Tutors Male 42 42 42 41 41 40 40 40 42 36 31 34 36 20 17 17 17 19 18 16 27 18 15 15 17 17

Supporting Staff Female

Total

Male 62 61 62 60 61 59 59 53 61 45 41 44 47 20 17 17 17 22 20 18 30 22 19 19 21 24

19 19 20 19 20 19 19 13 19 9 10 10 11 0 0 0 0 3 2 2 3 4 4 4 4 7

123

19 19 19 18 18 18 18 18 18 18 17 17 17 26 24 28 28 25 21 21 19 18 17 16 16 13

Female

Grand Total

Total 12 12 12 12 12 12 12 12 12 12 12 11 11 13 11 12 11 10 10 10 7 6 7 7 6 5

31 31 31 32 30 30 30 30 30 30 29 28 28 46 35 40 39 35 31 31 26 24 23 23 22 18

93 92 93 92 91 89 89 83 91 75 70 72 75 66 42 57 56 57 51 49 56 46 42 42 43 42

MORGORO

MADABA BUHURI

TEMEKE

MABUKI

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2012 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

11 11 10 10 11 12 12 19 22 22 28 28 28 13 12 12 12 12 12 11 11 13 10 10 10 8 10

9 9 9 9 13 13 13 15 15 13 12 12 12 2 6 4 3 3 3 3 3 2 3 4 4 3 3

20 20 19 19 24 25 25 34 37 35 40 40 40 15 18 16 15 15 15 14 14 15 13 14 14 11 13

16 16 14 14 14 21 21 17 19 14 14 14 12 4 18 16 21 20 18 18 18 18 18 18 18 17 17

10 10 10 11 11 15 15 13 14 14 14 11 11 2 8 12 11 11 12 12 12 12 12 12 12 11 11

26 26 24 25 25 36 36 30 33 28 28 25 23 6 26 28 32 31 30 30 30 30 30 30 30 28 28

46 46 43 44 49 61 61 64 70 63 68 65 63 21 44 44 91 91 91 92 91 89 89 83 91 75 79

2007

1

0

1

0

0

0

1

2008

2

1

3

0

0

0

3

2009

2

1

3

0

0

0

3

2010

2

1

3

0

0

0

3

2011

2

1

3

0

0

0

3

2012

2

1

3

0

0

0

3

2012

3

0

3

1

0

1

4

124

125

7

0

1

10

1

5

2

2

1

1

0 30

LT (Zool/Ent)

LT (RM/NR)

LT (An Sc/An Pr)

Production Managers (BSc An Sc/An Pr)

AT (Ext & Ed)

AT (Agribus)

AT (Agron)

AT (Agric Eng/ Land Use Plann)

AT ( Home Econ)

LT (Wild Life Mgnt) Sub total

Available 1 19

0

1

1

1

4

0

9

1

0

1

Deficit +1 11

1

0

1

1

1

1

1

0

0

6

Requirements 0 27

1

1

0

3

3

1

7

3

2

6

Available 0 25

0

1

0

2

5

0

10

1

1

5

Deficit 0 2

1

0

0

1

+2

1

+3

2

1

1

Requirements 0 23

1

1

1

2

1

1

7

3

0

6

Available 0 11

0

0

1

2

0

0

5

1

0

2

Deficit 0 12

1

1

0

0

1

1

2

2

0

4

Requirements 0 7

0

0

0

1

1

1

2

1

0

2

0 2

0

0

0

0

0

0

2

0

0

0

Available Deficit 0 5

0

0

0

1

1

1

0

1

0

2

Requirements 0 19

1

1

1

2

2

1

7

1

0

3

LITA Madaba

0 8

1

0

0

0

0

0

6

0

0

1

Available

MABUKI

0 11

0

1

1

2

2

1

1

1

0

2

Deficit

LITA Mpwapwa

Requirements 0 17

1

1

1

1

3

1

6

1

0

2

LITA Buhuri

0 5

0

0

0

0

2

0

3

0

0

0

Available

LITAMorogoro

0 12

1

1

1

1

1

1

3

1

0

2

Deficit

LITA Tengeru

Requirements

VT

Profession

Requirements 0 9

0

0

0

0

0

0

3

0

0

6

LITATemeke

0 2

0

0

0

0

0

0

2

0

0

0

Available

5.6: Staff Requirement by LITA for year 2012/13 5.6.1: Tutors

0 7

0

0

0

0

0

0

1

0

0

6

Deficit

8 11 2 3 3 2 4 1 4 38 68

LITA Tengeru

Secretary Library Asst. Records Mngt Asst.

Skills

3 1 0 0 0 0 4 1 3 12 23

Tengeru

5 10 2 3 3 2 0 0 1 26 45

3

2

0

4

4

2

5.6.3 Supporting Staff

ALT(An Health) ALT (An Prd) AAT (Home Econ) AAT (Agron) AAT (Agromech/ FM) AAT (Land Use Plan/ Irrig) ALT (Vet Lab Tech) Dip. IT LFA (AHPC) Sub total Grand Total

Profession

5.6.2 Tutorial Assistants

Available

Available

Requirements

Requirements

Deficit

2

2

1

Deficit

4 6 1 2 2 1 2 1 3 22 49

2

2

2

LITAMorogoro

2 0 0 1 +1 1 1 1 2 7 9

Morogoro

2 6 1 1 3 0 1 0 1 15 40

Available 3

1

1

Available

Requirements Requirements

Deficit 1

1 +1

Deficit

6 7 1 1 2 1 2 1 4 25 48

1

2

2

LITA Mpwapwa

0 0 1 1 2 1 2 1 2 10 22

Mpwapwa

6 7 0 0 0 O 0 0 2 15 26

Available 1

0

2

Available

Requirements Requirements

Deficit 0

2

0

Deficit

4 3 1 0 1 1 1 1 0 12 19

1

2

2

MABUKI

1 0 0 0 0 0 0 0 0 1 3

3 3 1 0 1 1 1 1 0 11 16

0

0

0

Madaba

Available Available

Requirements Requirements

Deficit 1

2

2

Deficit

5 5 1 1 1 1 2 1 2 19 38

Requirements 1

2

2

LITA Madaba

Requirements

Buhuri

3 2 0 0 0 0 0 0 1 6 14

Available 1

1

1

Available

0

1

1

1

2

1

5 4 1 1 1 1 1 1 4 19 36

2 3 1 1 1 1 2 1 1 13 24

Deficit Deficit

Requirements Requirements

LITA Buhuri

Temeke

3 4 0 0 1 0 0 0 1 9 14

Available 0

0

0

Available

2 0 1 1 0 1 1 1 3 10 22

Deficit 1

2

1

Deficit

1

2

1

1 1 0 0 0 0 0 1 0 3 12

Requirements Requirements

LITATemeke

Mabuki

1 1 0 0 0 0 0 0 0 2 4

Available 0

1

0

Available

0 0 0 0 0 0 0 1 0 1 8

Deficit 1

1

0

Deficit

126

127

3

4

1

2

0

0

0

0

3

12

2

4

2

4

1

2

2

56

Office Supervisors

Stores Officer

Supplies Officer

Total

0

36

1

2

1

4

2

2

1

8

0

10

35

1

1

1

1

2

3

2

10

2

6

0

20

0

1

0

1

0

2

2

2

0

1

6

15

1

0

1

0

2

1

0

8

2

5

+6

47

1

1

1

2

1

3

1

13

2

7

10

18

1

0

0

1

0

0

0

5

1

1

6

29

0

1

1

1

1

3

1

8

1

6

4

40

1

1

1

1

1

2

2

8

2

6

10

6

1

0

0

0

0

0

1

0

2

0

2

Mara

Pwani Singida D’Salaam

Rukwa

Mbeya

Mtwara

Arusha Dodoma Kagera

2 3 4

5

6

7

8 9 10

Region

1

S/No.

Beef Cattle

8 0 9

2

0

0

5 26 0

0

Dairy Cattle

0

5 15 83

15

10

24

10 0 0

Dairy Goats 0

1 30 3

5

80

24

31 5 0

0 0 0

0

0

0

2 0 0

0

0

26 52 20

43

73

10

54 42 0

0 0 0

0

0

0

1 0 0

0

Pigs 0 0 0

0

21

21

0 0 0

0

0 0 0

1

0

68

0 0 0

0

19 0 0

20

40

48

0 46 0

21

Pasture Development

Fishery

Exotic Chicken

Indigenous Chicken

Goat for Meat

5.7: Established farmers Field School Tanzania Mainland 2006/07- 2011/ 12

20

1

4

34

0

1

1

1

1

2

1

8

0

6

8

13 2 7

0

0

13

0 0 0

0

46

1

1

1

1

1

2

2

12

2

6

12

25

0

1

0

0

1

2

1

9

2

1

5

4 0 0

0

0

13

14 0 0

2

Livestock Husbandry

0

21

1

0

1

1

0

0

1

3

0

5

7

0 6 0

0

0

0

2 0 0

0

Tsetse

0

6

0

0

0

0

0

0

0

0

1

0

0

12 8 0

0

0

0

46 0 0

21

Group Formation

14

0

0

0

0

0

0

0

0

0

0

0

0

Feedlotting

Watchmen Cooks Office Attendants Livestock Attendants (Cattleherders & milkers) Acct. Asst. Drivers Plant Operators Techn Aux.

3 6 0

0

0

0

0 0 0

0

6

0

0

0

0

0

0

0

0

1

0

0

0 0 0

0

0

0

0 0 0

0

24

1

1

1

0

1

2

1

4

2

4

4

0 0 0

0

0

0

0 0 0

0

1

0

0

0

0

0

0

0

0

0

0

0

91 119 122

86

224

221

165 119 0

44

23

1

1

1

0

1

2

1

4

2

4

4

Total

Rabbits Sheep Dips

128

Tanga

Shinyanga

Ruvuma

Kigoma Iringa

Tabora

16

17

18

19 20

21

Jumla

Mwanza

15

90

0

20 0

0

14

0

0

0 0 6 0

444

0

0 17

161

1

6

9

2 34 13 39

257

2

0 8

6

0

4

0

0 27 21 10

44

0

0 0

0

5

0

37

0 0 0 0

602

0

20 32

74

71

35

0

10 0 19 21

1

0

0 0

0

0

0

0

0 0 0 0

100

0

17 16

4

0

0

0

15 0 0 6

109

0

0 0

0

0

0

40

0 0 0 0

234

5

0 5

0

0

0

0

21 0 7 2

110

0

0 0

0

0

1

0

56 0 0 18

61

0

0 0

0

0

0

0

0 28 0 0

8

0

0 0

0

0

0

0

0 0 0 0

87

0

0 0

0

0

0

0

0 0 0 0

Arusha

Dar es Salaam

2

Region

1

S/No.

20 74

Arumeru Longido Total Ilala. Kinondoni

Total

20 142 212 22 32

Monduli

Temeke

7 16 13 14

Ward

Arusha DC Arusha(Mun) Karatu Ngorongoro

Council

387

158

145 318 102 127

73

17 45 38

Village Cert

461

178

287 16 558 124 159

93

Diploma 24 28 58 52

24

8

8 8 56 8 8

8

Degree 8 8 8 8 3 1 21 5 9

295 24 614 132 167 485

20

6

3

101

186

5 3 3 3

Cert

80

24

37 14 126 21 35

17

19

6

3 2 16 7 6

2

Diploma Degree 10 0 16 4 12 2 20 3

119

36

43 17 163 33 50

22

Total 15 23 17 26

Available 2012/2013 (as per July 2012 inventory)

Total 32 36 66 60

Requirements (as per Extension Guidelines)

Cert

5.8 Summary of Livestock Extension Staff Requirements and Distribution – Tanzania Mainland, 2012

Source: Prime Minister’s Office, Regional Administration and Local Government (PMO- RALG)

 

K’njaro Lindi Manyara Morogoro

11 12 13 14

73

361

148

247 1 411 98 115

5

2

5 6 40 1 2

6

 366

150

252 7 451 99 117

79

Total 17 12 49 34

7

57 84

245

91

46

86

104 89 68 96

8 2,164

0

0 6

0

0

0

0

0 0 0 0

Degree 8 4 6 5

Deficit

0

0

0 0

0

0

0

0

0 0 2 0

Diploma 9 9 43 29

9

0

0 0

0

0

0

0

0 0 0 0

129

4

14 30 175 25

Kongwa

Dodoma(mun).

Total Njombe District

Ngara Karagwe Muleba Biharamulo Bukoba Mc Bukoba Dc Chato Misenyi Total Kigoma Dc Ujiji Kibondo Kasulu Total

Kagera

 Kigoma

5

6

Mufindi Kilolo Ludewa Makete Iringa Dc. Iringa Mun. 72 117 134 117 6 166

612 75 6 68 90 239

157 22 13 19 23 77

892

132 187 78 98   187

542 210

40

67

17 28 31 22 41 18

156

28 32 22 17   32

18

Mpwapwa

Njombe Town council

128 178

48 35 87

42

30

Chamwino Bahi Dodoma Dc Kondoa

Total

 Iringa +Njombe

   

Dodoma    

 

3

89 145 165 139 47 184 25 30 824 97 19 87 113 316

1120

160 219 100 115 41 219

31

747 235

70

81

105

72 30 176 213

8 8 8 8 8 8 8 8 64 8 8 8 8 32

64

8 8 8 8 8 8

8

56 8

8

8

8

8 8 8 8

97 153 173 147 55 192 33 38 888 105 27 95 121 348

1184

168 227 108 123 49 227

39

803 243

78

89

113

80 38 184 221

3 4 3 2 5 3 20 14 4 18 3 39

24

1 1 5 1 9 -

3

20 4

3

3

-

14

-

13 22 21 11 3 22 15 16 123 9 4 8 13 34

143

22 21 11 9 24 11

12

208 33

49

19

37

37

36 30

2 2 2 1 2 1 3 1 14 4 0 2 3 9

22

1 4 2 2 4 2

3

20 4

5

3

2

2

4 4

18 28 26 14 5 28 18 20 157 27 8 28 19 82

189

24 26 18 12 37 13

18

248 41

57

25

39

53

40 37

79 125 147 133 50 164 15 18 681 74 11 61 97 243

953

137 197 84 105 8 208

16

519 198

18

59

68

36 0 176 162

6 6 6 7 6 7 5 7 50 4 8 6 5 23

42

7 4 6 6 4 6

5

36 4

3

5

6

4 4 8 6

79 124 147 133 50 164 16 18 731 78 19 67 102 266

995

144 201 90 111 12 214

21

555 202

21

64

74

40 4 184 168

130

  Manyara

9

 

  Mara

  Lindi

8

10

Kilimanjaro

7

Kiteto Simanjiro Babati Tc Total Mugumu Tarime Bunda Musoma Dc Serengeti Musoma Mc Rorya Total

Hanang

Liwale Nachingwea Ruangwa Lindi(Dc) Kilwa Total Mbulu Babati Dc

Lindi (TC)

50 41 13 319 75 157 93 106 75

506

127

62

41 104 75 125 95 444 71 82

4

21 83 482

63

152 60 86 17

15 18 15 107 18 41 20 27 6 15

22

15 26 16 28 20 118 16 21

13

15 25 129

16

Mwanga

Moshi Mun. Same Total

31 20 14 8

Moshi(R) Rombo Hai Siha

65 59 28 426 93 198 113 133 81 15 25 658

84

56 130 91 153 115 562 87 103

17

36 108 611

79

183 80 100 25

8 8 8 48 8 8 8 8 8 8 8 56

8

8 8 8 8 8 48 8 8

8

8 8 56

8

8 8 8 8

73 67 36 474 101 206 121 141 89 23 33 714

92

64 138 99 161 123 610 95 111

25

44 116 667

87

191 88 108 33

5 2 2 23 12 13 5 4 7 4 1 46

2

2 4 9 6 6

3

1 7 39

5

13 3 5 5

14 31 10 103 10 10 16 21 11 8 12 88

15

3 10 7 15 11 51 14 19

5

18 19 179

19

61 19 26 17

10

5 1 3 1

3 2 4 21

5

1 1 1 1 2 6 3 4

0

7 1 25

4

6 0 5 2

22 35 16 147 22 23 26 26 21 13 13 144

22

4 13 8 20 13 66 23 29

8

26 27 243

28

80 22 36 24

46 26 16 300 71 175 92 108 63 3 12 524

67

53 118 84 134 104 502 67 78

9

17 82 393

55

109 58 69 3

5 6 4 27 8 8 3 7 5 7 8 46

3

7 7 7 7 6 42 5 4

8

1 7 31

4

2 8 3 6

51 32 20 327 79 183 95 115 68 10 20 570

70

60 125 91 141 110 544 72 82

17

18 89 424

59

111 66 72 9

131

  Morogoro

Mtwara

Mwanza+ Geita + Simiyu

12

13

14

 

Mbeya

11

Rungwe Kyela Mbeya Munis. Mbeya Dc Ileje Chunya Mbarali Mbozi Total Kilosa Ulanga Morogoro Dc Mvomero Morogoro Mc Kilombero Total Mtwara Dc. Newala Masasi Tandahimba Nanyumbu Mtwara Mc. Total Geita Sengerema Magu Kwimba Misungwi Ukerewe Mwanza Mun Total

30 15 36 36 16 23 11 26 193 37 19 25 17 19 19 136 18 21 34 22   13 108 33 25 21 9 20 24 21 153 81 636 118 125 235 129   85 692 188 122 124 110 78 74 683 1379

162 97 180 127 68 70 87 175 966 160 65 230 100

192 112 216 163 84 93 98 201 1159 197 84 255 117 19 100 772 136 146 269 151 100 98 900 221 147 145 119 98 98 704 1532

8 8 8 8 8 8 8 8 64 8 8 8 8 8 8 48 8 8 8 8 8 8 48 8 8 8 8 8 8 8 56

200 120 224 171 92 101 106 209 1223 205 92 263 125 27 108 820 144 154 277 159 108 106 948 229 155 153 127 106 106 712 1588

1 1 3 4 2 1 12 1 11 4 5 1 1 23 2 1 3 8 8 4 6 1 15 42

18 22 17 30 10 18 22 28 165 36 19 37 37 17 19 165 10 7 17 5 5 5 49 22 12 30 23 5 9 15 116

5 2 1 8 2 2 3 2 25 4 6 5 4 6 6 31 2 2 2 6 4 1 4 2 1 2 1 15

24 25 21 42 12 20 27 31 202 41 36 46 46 24 26 219 12 7 21 7 5 6 58 34 21 34 29 12 12 31 173

173 89 196 129 74 75 74 172 982 160 54 214 75 1 80 584 126 139 250 146 95 92 848 191 127 115 92 87 88 674 1374

3 6 7 0 6 6 5 6 39 4 2 3 4 2 2 17 6 8 6 6 8 8 42 4 7 4 6 7 6 7 41

176 95 203 129 80 81 79 178 1021 164 56 217 79 3 82 601 132 147 256 152 103 100 890 195 134 119 98 94 94 681 1415

132

Ruvuma

17

18

Rukwa + Katavi

16

  Shinyanga

Pwani

15

13 79 14 37 24 12 26

Sumbawanga Mc

Total Songea Dc

Mbinga

Tunduru Namtumbo

Songea Mun.

13 26 18 14 34 24

Shinyanga Mun.

Bariadi Maswa Bukombe Kahama Kishapu 184

19

Meatu

Total

36

Shinyanga Dc

113

13

Nkasi

Total

23

7 15 16 7 19 15 10 89 30

Sumbawanga.Dc

Mpanda Town

Mafia Kisarawe Bagamoyo Kibaha Dc Rufiji Mkuranga Kibaha Tc Total Mpanda Dc

979

124 104 126 221 103

19

72

210

580

128

118 60

206

417 68

25

87

169

20 74 82 40 98 107 25 446 136

1163

150 122 140 255 127

32

91

246

693

154

142 72

243

505 82

38

100

192

9

27 89 98 47 117 122 35 535 166

64

8 8 8 8 8

8

8

8

40

8

8 8

8

40 8

8

8

8

8

8 8 8 8 8 8 8 56 8

1227

158 130 148 263 135

40

99

254

733

162

150 80

251

545 90

46

108

200

17

35 97 106 55 125 130 43 591 174

19

2 2 2 1 1

-

11

-

12

3

4

2

25 3

3

5

-

4

12 2 2 4 20 13

224

33 24 16 35 39

21

22

34

57

13

4 10

15

79 15

16

17

25

4

6 24 24 16 14 11 22 117 17

25

2 4 6 5 2

2

1

3

15

2

3 3

3

13 4

2

2

6

0

2 3 6 1 3 4 1 20 3

268

37 30 24 41 42

23

34

37

84

18

7 17

20

117 22

21

24

31

8

8 39 30 19 17 17 27 157 33

920

115 96 122 219 87

11

58

212

624

138

138 58

226

401 64

19

78

167

1

21 53 74 29 103 109 9 398 136

39

6 4 2 3 6

6

7

5

25

6

5 5

5

27 4

6

6

2

8

6 5 2 7 5 4 7 36 5

959

121 100 124 222 93

17

65

217

649

144

143 63

231

428 68

25

84

169

9

27 58 76 36 108 113 16 434 141

133

32 13 15     19 158 2,862

Source: Veterinary Council of Tanzania 2013

Lushoto Pangani Handeni Mkinga Kilindi Korogwe DC Total Sub total

20

21

KorogweTc

17 135 35 24

Uyui

  Tanga

Total Muheza TangaMun.

37 26 21 23 11

83

14

Singida Town

Nzega Igunga Tabora Mun. Urambo Sikonge

20

Iramba

Total

21

Manyoni

Tabora

28

Singida DC

20

Singida

 

19

173 34 176     133 850 12,343

133

485 178 23

93

132 96 24 97 43

369

19

126

78

146

205 47 191 29 9 152 1,046 14,494

153

620 213 47

110

169 122 45 120 54

452

33

146

99

174

8 8 8 8 8 8 72 1,048

8

48 8 8

8

8 8 8 8 8

32

8

8

8

8

16,120

213 55 199 37 17 160 1,118

161

668 221 55

118

177 130 53 128 62

484

41

154

107

182

9 4 3 4 4 5 31 454

-

9 2

1

1 4 1 2

22

3

4

3

12

7

31 8 41 15 40 26 214 2,453

14

100 30 9

10

27 32 12 10 9

47

3

27

10

2 3 2 4 2 5 22 362

1

16 2 1

4

3 3 1 3 2

11

2

3

3

3

42 15 46 23 46 36 267 3,201

15

125 32 12

15

31 39 13 14 13

80

8

34

16

22

165 35 147 10 -35 121 801 12,132

139

511 183 36

99

141 86 33 109 43

383

27

115

86

155

6 5 6 4 6 3 50 719

7

32 6 7

4

5 5 7 5 6

21

6

5

5

5

124 817 12,308

171 40 153 14

146

543 189 43

103

146 91 40 114 49

404

33

120

91

160

134

VETERINARY COUNCIL OF TANZANIA (VCT)

416 441 465

492

520

559

597

610

614 637 647

666

2001 2002 2003

2004

2005

2006

2007

2008

2009 2010 2011

2012

867

502 690 794

453

403

314

192

H

H H H

H

Enlisted Paraprofessional Assistants

Source: Veterinary Council of Tanzania 2013

KEY: H = Not Applicable

399

Registered Veterinarians

2000

YEAR

573

410 485 511

390

385

273

163

H

H H H

H

45

H H H

H

H

H

H

H

H H H

H

Enrolled Parapro Licensed Meat fessionals Inspectors

Number

6

H H H

H

H

H

H

H

H H H

H

Licensed Artificial Inseminators

2

H H H

H

H

H

H

H

H H H

H

Licensed Veterinary Laboratory Technicians

130

97 111 113

92

90

52

23

H

H H H

H

Registered Practitioner Facilities

193

235 193 193

235

235

235

235

235

H 235 235

H

Unregistered Facilities

6.1: Number of Registered Veterinarians, Enrolled Para professional, Enlisted Para Professional Assistants and Registered Practice Facilities.

CHAPTER 6.0:

135

34

68

70

75

79

81

105

2007

2008

2009

2010

2011

2012

16

15

15

15

15

15

13

7

Veterinary Clinic

1

1

1

1

1

1

1

0

21

21

23

25

27

1

5

5

5

5

8

8

2006 2007 2008 2009 2010 2011

2012

6

6

6

6

6

6

2

0

IRINGA

16

16

16

14

12

12

2

0

KILIMANJARO

1

1

1

1

1

1

0

0

KIGOMA

Source: Veterinary Council of Tanzania 2013

33

6

19

0

DSM

2005

ARUSHA

13

3

3

3

2

2

2

1

MANYARA

6.3 Number of Registered Facilities per Region

YEAR

Number

5

4

4

4

4

4

2

1

14

14

14

14

13

13

12

8

MBEYA

7

7

6

6

6

6

4

0

MOROGORO

4

3

3

3

3

3

2

2

MWANZA

6

6

6

6

4

4

2

0

PWANI

15

15

15

15

15

15

6

6

TANGA

1

1

1

0

0

0

0

0

MARA

Veterinary Ambulatory Services

Registered facilities per region

3

2

2

2

2

2

2

1

Veterinary Hospital Quarantine Stations

Source: Veterinary Council of Tanzania 2013

2013

14

2006

Veterinary Facility

2005

YEAR

6.2 Registered Veterinary Facilities

1

1

1

0

0

0

0

0

SHY

1

0

0

0

0

0

0

0

MTWARA

1

1

1

1

1

1

0

0

RUVUMA

130

113

111

97

92

90

52

23

Total

1

1

1

1

1

1

0

0

TABORA

130

113

111

97

92

90

52

23

JUMLA