Large Scale Farm Report - Ministry Of Agriculture, Food and ...

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CENSUS RESULTS48Proportional wise, all regions had more than 50 percent working farm implements except Dodoma with only 31 percentworking implements. The highest proportion of working implements was in Dar es Salaam (87%) followed by Singida(85%), Arusha (83%) and Iringa (80%) while Mara had the minimum proportion with 55 percent working farmimplements.The proportion of large scale farms owning out of order but repairable implements ranges from 20 percent in Pwani regionto 38 percent in Mara Region. The lowest percent of out of order but repairable is found in Singida (9% repairable farmimplements), Dar es Salaam (13%), Arusha (14%), Tanga (16%), Kilimanjaro (16%), Morogoro (18%), Iringa (19%) andMbeya (19%). The percentage of farm implements rented to others was small except in Dodoma Region with 49 percentrented to others. This was followed by Tanga (13%), Kilimanjaro and Morogoro (11 % each) and Mbeya (10%), (Chart2.122(b)).2,000Chart 2.122: Number of Farm Implements by Type and Region100%Chart 2.122(b): Percentage Distribution of Category of Farm Implementsby RegionNumber of Farm Implements1,5001,000500Region0ManyaraArushaTangaKilimanjaroIringaMorogoroKigomaDodomaMbeyaMwanzaRukwaRuvumaMtwaraCoastWorking Repairable Rented2.15.1 TractorsThere are a total of 2,513 tractors on large scalefarms. This includes 1,328 (53%) small tractorsand 1,185 (47%) large tractors. There were 1,675tractors working on the large scale farm whichrepresents 66.7 percent of the total tractors. Thenumber of tractors not working but repairablewas 668 representing 26.6 percent while other170 tractors (6.7%) were rented to others (Table2.10).MaraShinyangaSingidaTaboraDar es SalaamKageraLindiTable 2.10: Number of Tractors in Large Scale FarmsType of ImplementNumberWorkingManyara have the highest number of tractors0.0(515, 20.5%) followed by Arusha (415, 16.5%)and Tanga (278, 11.1%). Singida, Rukwa, Lindi, RegionKagera, Dar es Salaam and Kigoma have the least number of tractors (Chart 2.123).Percent80%60%40%20%0%RegionManyaraArusha%TangaKilimanjaroIringaMorogoroKigomaDodomaMbeyaMwanzaRukwaRuvumaMtwaraCoastMara% Working % Repairable % RentedNumberRepairable%NumberRentedShinyangaSingidaTaboraDar es SalaamKageraLindi% Total Total %Small Tractor(100 bhp) 751 63.4 342 28.9 92 7.8 1,185 100.0Total 1,675 66.7 668 26.6 170 6.7 2,513 100.0Percentage of Tractors25.020.015.010.05.0Chart 2.123: Percentage Distribution of Tractors by Region20.5ManyaraArusha16.511.19.39.08.65.0TangaKilimanjaroMorogoroIringaMbeyaMara3.02.92.72.02.01.6CoastRuvumaShinyangaMwanzaMtwara1.51.30.90.6TaboraDodomaSingidaRukwa0.40.4LindiKageraDar es SalaamKigoma0.40.4Tanzania Agriculture Sample Census – 2003
CENSUS RESULTS2.15.2 HarvestersThere are 287 harvesters on large scale farms. Withgrain harvesters being the most common followedby forage harvesters. The number of workingharvesters on the owners farm is 192 representing66.9 of the total harvesters. There are 74 (25.8%)repairable harvesters and 21 (7.3%) rented toothers (Table 2.11).Table 2.11: Number of Harvesters in Large Scale FarmsType of ImplementNumberWorking%NumberRepairable%NumberRented%TotalNumber49Total %Grain/Maize/Rice Harvester 83 58.5 47 33.1 12 8.5 142 100.0Cotton Harvester 4 80.0 1 20.0 0 0.0 5 100.0Forage Harvester Machines 53 77.9 14 20.6 1 1.5 68 100.0Potatoes/Root Crop Harvester 5 55.6 4 44.4 0 0.0 9 100.0Other Harvesters 47 74.6 8 12.7 8 12.7 63 100.0Total 192 66.9 74 25.8 21 7.3 287 100.0The highest number of harvesters are found inManyara (59, 20.6%) followed by Iringa (44,15.3%), Arusha (42, 14.6%), Mbeya (33, 11.5%)and Kilimanjaro (31, 10.8%). Other regions have amoderate number of harvesters except Dodoma andLindi which had the smallest number. Dar esSalaam, Shinyanga, Kagera, Mwanza and Kigomahave no harvesters (Chart 2.124).2.15.3 PloughsThere are 1,624 ploughs on large scale farms. Mostof them are in working order (1,184, 72.9%) while338 (20.8%) are not working but repairable and102 (6.3%) are rented to others. Out of the totalnumber of ploughs, 75 percent are disc ploughs and25 percent are mouldboard ploughs (Table 2.12).Percent of Harvesters25.020.015.010.05.00.0Region20.6Table 2.12: Number of Ploughs in Large Scale FarmsType of ImplementChart 2.124: Percentage Distribution of Harvesters by Region15.314.6ManyaraIringa11.510.88.0ArushaMbeyaKilimanjaroMorogoroSingidaTangaNumberWorking3.82.42.42.42.41.41.41.4%MtwaraRuvumaTaboraCoastRukwaNumberRepairable%0.30.30.00.00.00.00.0MaraDodomaLindiDar es SalaamNumberRented%ShinyangaKageraMwanzaKigomaTotalNumberTotal %Disc Plough 874 72.1 257 21.2 82 6.8 1,213 100.0Mouldboard Plough 310 75.4 81 19.7 20 4.9 411 100.0Total 1,184 72.9 338 20.8 102 6.3 1,624 100Manyara has the highest number of ploughs (318,19.6%) followed by Arusha (231, 14.2%),Kilimanjaro (166 ,10.2%), Morogoro (137, 8.4%)and Iringa (131, 8.1%). The smallest numbers arefound in Dodoma, Lindi, Kigoma, Dar es Salaamand Kagera.Percentage of Ploughs25.020.015.010.05.00.019.6ManyaraArushaChart 2.125: Percentage Distribution of Ploughs by Region14.210.28.48.15.75.14.23.93.83.73.12.1TangaKilimanjaroMorogoroIringaShinyangaMaraMwanzaMbeyaRuvumaRukwaRegion2.01.81.40.90.80.60.30.1CoastTaboraSingidaMtwaraDodomaLindiKigomaDar es SalaamKageraTanzania Agriculture Sample Census – 2003
Page 2 and 3:
TABLE OF CONTENTSiii- Maize .......
Page 4 and 5:
TABLE OF CONTENTSv4.12 Mbeya ......
Page 6 and 7:
PREFACEviiPREFACEAt the end of the
Page 8 and 9:
ILLUSTRATIONix2.34 Time Series of B
Page 10:
ILLUSTRATIONxi2.159 Percent of Chic
Page 13 and 14: EXECUTIVE SUMMARYxivDuring short ra
Page 15 and 16: EXECUTIVE SUMMARYxvi• IrrigationI
Page 17 and 18: INTRODUCTION11. INTRODUCTION1.1 Int
Page 19 and 20: INTRODUCTION3The main topics covere
Page 21 and 22: INTRODUCTION5Two other instruments
Page 23 and 24: INTRODUCTION7number of digits for e
Page 25 and 26: CENSUS RESULTS92.1.1 Total number o
Page 27 and 28: CENSUS RESULTS11hectares in 1994/95
Page 29 and 30: CENSUS RESULTS132.3.1 Type of land
Page 31 and 32: CENSUS RESULTS15The average area of
Page 33 and 34: CENSUS RESULTS17About 68 percent of
Page 35 and 36: CENSUS RESULTSThe number of large s
Page 37 and 38: CENSUS RESULTS21census year was 969
Page 39 and 40: CENSUS RESULTSThe area planted per
Page 41 and 42: CENSUS RESULTS2.5.7 Oil seed produc
Page 43 and 44: CENSUS RESULTS272.5.8 Cash crop pro
Page 45 and 46: CENSUS RESULTS29In terms of area of
Page 47 and 48: CENSUS RESULTS31Kagera has the larg
Page 49 and 50: CENSUS RESULTS33Orange production i
Page 51 and 52: CENSUS RESULTS352.7.3 Methods of ob
Page 53 and 54: CENSUS RESULTS37On large scale farm
Page 55 and 56: CENSUS RESULTS392.9.3 Mean Normal D
Page 57 and 58: CENSUS RESULTS412.11 On Farm Tree P
Page 59 and 60: CENSUS RESULTS43The number of farms
Page 61 and 62: CENSUS RESULTS452.14 Crop Extension
Page 63: CENSUS RESULTS2.15 Agricultural Imp
Page 67 and 68: CENSUS RESULTS51Out of 1,212 large
Page 69 and 70: CENSUS RESULTS53- Improved Cattle P
Page 71 and 72: CENSUS RESULTS55The sheep populatio
Page 73 and 74: CENSUS RESULTS57were kept on only 5
Page 75 and 76: CENSUS RESULTS593.2.3 Skin and hide
Page 77 and 78: CENSUS RESULTS61Out of the total ch
Page 79 and 80: CENSUS RESULTS3.4.3 Access to input
Page 81 and 82: CENSUS RESULTS65Table 2.22: Number
Page 83 and 84: REGIONAL PROFILES674 REGIONAL PROFI
Page 85 and 86: REGIONAL PROFILES69Kilimanjaro regi
Page 87 and 88: REGIONAL PROFILES71The region has r
Page 89 and 90: REGIONAL PROFILES73Lindi has the lo
Page 91 and 92: REGIONAL PROFILES75Pwani has the se
Page 93 and 94: REGIONAL PROFILES77Mbeya has low nu
Page 95 and 96: REGIONAL PROFILES79The region has l
Page 97 and 98: REGIONAL PROFILES81Virtually no pad
Page 99 and 100: REGIONAL PROFILES83and services exc
Page 101 and 102: APPENDIX II 854. APPENDICESAppendix
Page 103 and 104: APPENDIX II 873.5 Number of Holding
Page 105 and 106: APPENDIX II 8914.2.5 Number of Sogh
Page 107 and 108: APPENDIX II 91SHEEP PRODUCTION ....
Page 109 and 110: APPENDIX II 93LIVESTOCK EXTENSION..
Page 111 and 112: Appendix II 95TYPE OF HOLDINGTanzan
Page 113 and 114: Appendix II 971.4 TYPE OF FARM OWNE
Page 115 and 116:
Appendix II 99RANK OF IMPORTANCE OF
Page 117 and 118:
Appendix II 1012.3 RANK OF IMPORTAN
Page 119 and 120:
Appendix II 1032.7 RANK OF IMPORTAN
Page 121 and 122:
Appendix II 105LAND ACCESS/OWNERSHI
Page 123 and 124:
Appendix II 1073.2 LAND ACCESS/OWNE
Page 125 and 126:
Appendix II 1093.4 LAND ACCESS/OWNE
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Appendix II 111LAND USETanzania Agr
Page 129 and 130:
Appendix II 113cont….LAND USE: Nu
Page 131 and 132:
Appendix II 115cont…. LAND USE: N
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Page 135 and 136:
Page 137 and 138:
Appendix II 121cont...LAND USE: Num
Page 139 and 140:
Appendix II 123ANNUAL CROPS (VULI S
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Appendix II 1255.1.2 ANNUAL CROPS (
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Appendix II 127cont... ANNUAL CROPS
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Appendix II 129cont…. ANNUAL CROP
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Appendix II 131cont…. ANNUAL CROP
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Appendix II 133SECONDARY PRODUCTSTa
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Appendix II 135AGRO PROCESSINGTanza
Page 153 and 154:
Appendix II 1378.3 AGRO PROCESSING:
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Appendix II 139FARM IMPLEMENTS AND
Page 157 and 158:
Appendix II 141cont….FARM IMPLEME
Page 159 and 160:
Appendix II 1439.2 FARM IMPLEMENTS
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Appendix II 145cont...FARM IMPLEMEN
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Appendix II 147cont...FARM IMPLEMEN
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Appendix II 149cont….FARM IMPLEME
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Appendix II 1519.6 FARM IMPLEMENTS
Page 169 and 170:
Appendix II 153IRRIGATION PRACTICET
Page 171 and 172:
Appendix II 15510.1.3 IRRIGATION PR
Page 173 and 174:
Appendix II 15710.3.1 EROSION CONTR
Page 175 and 176:
Appendix II 15910.4.3 SHADES AND ST
Page 177 and 178:
Appendix II 16110.5.3 FARM FENCES:
Page 179 and 180:
Appendix II 163MARKETINGTanzania Ag
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Appendix II 16514.1.3 MARKETING: Nu
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Page 185 and 186:
Page 187 and 188:
Appendix II 17114.2.11 MARKETING: N
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Appendix II 17314.3.1 RANK OF IMPOR
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Appendix II 177SERVICES PROVIDED TO
Page 195 and 196:
Appendix II 17915.2 SERVICES PROVID
Page 197 and 198:
Appendix II 18115.3 SERVICES PROVID
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Appendix II 183RANK OF IMPORTANCE O
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Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
Page 209 and 210:
Page 211 and 212:
Appendix II 195LIVESTOCK NUMBERSTan
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Appendix II 19718.2 LIVESTOCK NUMBE
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Page 217 and 218:
Appendix II 20118.6.1 LIVESTOCK PRO
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Page 221 and 222:
Page 223 and 224:
Appendix II 207LIVESTOCK NUMBERSTan
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Page 227 and 228:
Page 229 and 230:
Appendix II 21320.1 Number and Perc
Page 231 and 232:
Page 233 and 234:
Appendix II 217OTHER LIVESTOCKTanza
Page 235 and 236:
Appendix II 219cont…. OTHER LIVES
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Appendix II 22123.4 OTHER LIVESTOCK
Page 239 and 240:
Appendix II 22323.6 OTHER LIVESTOCK
Page 241 and 242:
Appendix II 225CHICKEN DISEASESTanz
Page 243 and 244:
Appendix II 22724.2 CHICKEN DISEASE
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Appendix II 233LIVESTOCK PRODUCTSTa
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Appendix II 235RANK OF CATTLE MARKE
Page 253 and 254:
Appendix II 23726.4 RANK OF CATTLE
Page 255 and 256:
Appendix II 23926.8 RANK OF GOATS M
Page 257 and 258:
Appendix II 24126.12 RANK OF SHEEP
Page 259 and 260:
Appendix II 24326.16 RANK OF PIGS M
Page 261 and 262:
Appendix II 24526.20 RANK OF PIGS M
Page 263 and 264:
Appendix II 24726.24 RANK OF CHICKE
Page 265 and 266:
Appendix II 249ACCESS TO FUNCTIONAL
Page 267 and 268:
Appendix II 25127.3 ACCESS TO FUNCT
Page 269 and 270:
Appendix II 25327.7 ACCESS TO FUNCT
Page 271 and 272:
Appendix II 25527.11 ACCESS TO FUNC
Page 273 and 274:
Appendix II 257LIVESTOCK EXTENSIONT
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Appendix II 25928.3: LIVESTOCK EXTE
Page 277 and 278:
Appendix II 261FARM EMPLOYMENTTanza
Page 279 and 280:
Appendix II 263cont….FARM EMPLOYM
Page 281 and 282:
Appendix II 265cont…. FARM EMPLOY
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Page 285 and 286:
Page 287 and 288:
Appendix II 271cont…. FARM EMPLOY
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