Source document: https://docs-lawep.s3.us-east-2.amazonaws.com/1697731598167.pdf (Fiji)
FOREWORD Agriculture Census enables compilation of data at community-level and ensure that issues affecting farmers, farm communities and agricultural operations are included when decisions are made on matters that affect them and their livelihood.

It increases the quality of evidence based policy making, guide development of Agricultural Statistics in Fiji and address unprecedented data demand to monitor national targets and Sustainable Development Goals.
Timely and Reliable Statistical information is crucial for the benefit of society and the economy as a whole – not only in policy making and the evaluation of performance, but also in directing economic and social activities and providing valuable data and evidence for analysts, researchers, civil societies and the general public.
On that note, I would like to take this time to sincerely thank Government for the allocation of F$4.5m, which enable the Ministry to undertake the 2020 Fiji Agriculture Census - the 5th in a series of Agriculture Censuses conducted in Fiji.

I also acknowledge UNFAO for their continuous technical guidance to our Statistics Team and the Ministry in ensuring that we successfully achieve expected targets of this Operation.
I hope that other stakeholders and users such as Academics, Tertiary Students, and Consultants etc.

will use these reports as basis of any future research and analysis on Fiji’s Agriculture Sector.

To my team and all our immediate Stakeholders from Government whose hard work and commitment enables the compilation of these Publications – Thank you so much for your continuous support and I look forward to more future collaboration.
It is indeed an honour to be part of this Team and present the 2020 Fiji Agriculture Census Report – Volume 1, 2, 3 & 4.

Vinaka Vakalevu.

......................................... Dr Mahendra Reddy Minister for Agriculture, Waterways & Environment.

General Table & Descriptive Analysis Report 1 1 PREFACE The Ministry of Agriculture is pleased to present 2020 Fiji Agriculture Census Descriptive Analysis Report which provides general statistics on structure of Fiji’s agriculture sector.
The Fijian Government is mindful of the high demand for agriculture information and the need to establish a sustainable agriculture statistics system that ensures provision of timely and quality agriculture statistics.

As such, the conduct of a census and future surveys of agriculture sets the platform for a viable agriculture statistical system.
For the 2019/20 financial year, the Ministry of Agriculture had been granted an allocation of $4.5 million to prepare and conduct the 2020 Fiji Agriculture Census (2020FAC).

The 2020FAC, for the first time, conducted a full enumeration programme of Agriculture Census as compared to previous four (4) Agriculture Censuses conducted in 1968, 1978, 1991 and 2009.

All four censuses used sampling methods that limited identification of appropriate methodology for future similar exercises.
Therefore, the 2020FAC adopts the full enumeration approach, which marks a significant milestone in data collection transition for agriculture statistics in Fiji.

The census captures all economic activities in the informal sector at the household level in rural and peri urban areas where agriculture (crop, livestock, fishing, forest) is mainly practiced.
Fiji, through the Ministry of Agriculture, with technical assistance from the United Nations Food and Agriculture Organization (FAO) Project TCP/FIJ/3703, is responsible for the publication of this report.

The 2020FAC findings presented in this report will provide data users, such as government agencies, institutions, organizations, international agencies, researchers, policy makers and the general public, much needed agriculture statistics for further analysis of the sector.
The Fijian Government is indebted to the technical support of the FAO in ensuring the successful finalization of this exercise and continuous guidance in enhancing statistical capacity in the Ministry of Agriculture.
The successful implementation of the 2020FAC project would not have been possible without the immense commitment, support and dedication of the National Steering Committee (NSC), Technical Working Group (TWG), consultants, regional coordinators, headquarters Staff, area coordinators, field supervisors, enumerators, data processors and support staff involved in the logistical work of the 2020 FAC programme.
Finally, our sincere appreciation to the 71, 631 households within the rural and selected peri-urban areas, for actively participating during this exercise, carried out from 10 – 29 February, 2020, which resulted in the successful execution of the 2020FAC.

Detailed agriculture census information is available online at http://www.agriculture.org.fj.

If you would like more information, you can also call our help desk by telephone: (679) 338 4233 or e-mail: agrihelp@govnet.

gov.fj.
………………………………… Mr. Ritesh Dass 2020 Fiji Agriculture Census Commissioner General Table & Descriptive Analysis Report 2 Table of Contents Acronyms...................................................................................................................................................4 Composition of The National Steering Committee (NSC) of the 2020 Fiji Agriculture Census (FAC).......................................................................................................5 Composition of The Technical Working Group (TWG) of The 2020 Fiji Agriculture Census (FAC)................................................................................................5 Consultants of The 2020 Fiji Agriculture Census (FAC).....................................................................6 2020FAC Key Findings.............................................................................................................................9 Section 1: Methodology............................................................................................................19 Section 2: 2020FAC Results and Findings...............................................................................30 Chapter 1: Demographic................................................................................................31 Chapter 2: Agricultural Household Particulars........................................................109 Chapter 3: Land – Tenancy, Land Use & Accessibility.............................................121 Chapter 4: Crop Sub-Sector.........................................................................................136 Chapter 5: Livestock Farming.....................................................................................221 Chapter 6: Agricultural Household Participation on Forest Activities.................254 Chapter 7: Agricultural Household Fishing Activities.............................................274 Chapter 8: Climate Change and
 Challenges..............................................................290 Chapter 9: Farm Equipment and Machineries..........................................................305 Chapter 10: Agriculture Services................................................................................313 Chapter 11: Food Insecurity Experience...................................................................325 Annex 1: Concepts And Definitions Used For 2020 FAC.....................................................339 Annex 2: Items captured for different themes for 2020FAC..................................................341 Annex 3: 2020FAC Questionnaire Component and Linkage to SDG...................................342 Annex 4: Enumerators Guide on Crop Density.....................................................................347 General Table & Descriptive Analysis Report 3 3 Acronyms AC CAPI EA EFL FAC FAO Area Coordinators Computer Assisted Personal Interviewing Enumeration Area Energy Fiji Limited Fiji Agriculture Census Food and Agriculture Organization of the United Nations FARS Fiji Agriculture & Rural Statistics Unit FCDCL Fiji Cooperative Dairy Company Limited FDB FDL FS GIS GPS MoA NDP SDGs SPSS WCA WFP Fiji Development Bank Fiji Dairy Limited Field Supervisor Geographic Information System Global Positioning System Ministry of Agriculture National Development Plan Sustainable Development Goals Statistical Package for the Social Sciences World Programme for the Census of Agriculture World Food Programme General Table & Descriptive Analysis Report 4 COMPOSITION OF THE NATIONAL STEERING COMMITTEE OF THE 2020 FIJI AGRICULTURE CENSUS Permanent Secretary Permanent Secretary Permanent Secretary Chief Economist Chief Executive Permanent Secretary Permanent Secretary Permanent Secretary Permanent Secretary Permanent Secretary Permanent Secretary Ministry of Agriculture Ministry of Fisheries Ministry of Forestry Ministry of Agriculture Fiji Bureau of Statistics Ministry of Economy Ministry
 of Sugar Industry Ministry of Rural & Maritime Development Ministry of iTaukei Affairs Ministry of Health and Medical Services Ministry of Women, Children and Poverty Alleviation Chairman Vice Chairman Vice Chairman Secretary Member Member Member Member Member Member Member COMPOSITION OF THE TECHNICAL WORKING GROUP OF THE 2020 FIJI AGRICULTURE CENSUS Chief Economist Director Crop Extension Division Director Animal Health & Production Director of Planning, Policy and Research Principal Agriculture Officer (HQ) Principal Agriculture Officer (Eastern) Principal Agriculture Officer (AH&P) Senior Research Officer (Land Use) Principal Economic Planning Officer Senior Economic Planning Officer Principal Economic Planning Officer Senior Forestry Officer Chief Statistician (Economics) Chief Statistician (Social Statistics) Principal Statistician Principal Economic Planning Officer Principal Research Officer Senior Women Interest Officer Ministry of Agriculture Ministry of Agriculture Ministry of Agriculture Ministry of Sugar Industry Ministry of Agriculture Ministry of Agriculture Ministry of Agriculture Ministry of Agriculture Ministry of Fisheries Ministry of Fisheries Ministry of Fisheries Ministry of Forestry Fiji Bureau of Statistics Fiji Bureau of Statistics Fiji Bureau of Statistics Ministry of Rural & Maritime Development Ministry of Women, Children and Poverty Alleviation Ministry of Women, Children and Poverty Alleviation Fiji National Food and Nutrition Centre Ministry of iTaukei Affairs UNFAO FAO Sub-regional office for Pacific Island Chairperson Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Member Manager Director Development Services Consultants Rasmiyya Aliyeva (Statistician) Senior Economic Planning Officer (Statistics) Ministry of Agriculture Ministry of Agriculture Senior Economic Planning Officer (Budget) Ministry of Agriculture Economic
 Planning Officer (GIS) General Table & Descriptive Analysis Report 5 5 CONSULTANTS OF THE 2020 FIJI AGRICULTURE CENSUS Technical assistance provided substantial impact to the whole process of conducting and prepara- ing the report of the 2020 FAC.
This was mainly offered by FAO through the following consultants: Name of Consultant Ms. Helen Stott Area of expertise 2020 FAC job title Former New Zealand Statistician NZ Bureau of Statistics Expert on Agriculture Statistics Areas of technical Assistance • Advised on the methodology • • for 2020FAC Prepared the project training programme Prepared the data dissemination plan for 2020FAC • Oversaw work on the design of household and non-household questionnaires for 2020 FAC • Worked in collaboration with the expert(s) on CAPI/data processing on the CAPI system for 2020FAC Provided guidance and on-the- job training to national staff on managing and implementing 2020FAC • Mr. Gene Lorica Expert on CAPI and data processing Former System Analyst and Officer in Charge of the Assistant National Statistician for Systems Development Division and IT, Philippine Statistics Authority • • Developed requirements for the CAPI system, including questionnaires and validation checks Supervised the development, operational testing and finalization of the CAPI data collection system for 2020 FAC.
Provided input for manuals and training materials • • • Assisted in designing of a data processing and tabulation system; Prepared full technical documentation on the CAPI, data processing and tabulation system.
Provided guidance and on- the-job training to Ministry of Agriculture Statistics Staff on the development and implementation of CAPI, survey solutions, and use of selected software for data tabulation; • • Assisted with the planning and conduct of the pilot census (training, operation, technical support, analysis, etc.)
Evaluated the pilot and finalized census methodology, technical support plan, instruments, manuals, etc • General Table & Descriptive Analysis Report 6 CONSULTANTS OF THE 2020 FIJI AGRICULTURE CENSUS (FAC) Name of Consultant Dr. Vidya Dhar Area of Expertise 2020 FAC Job Title Areas of Technical Former Additional Direc- tor General, Ministry of Agriculture and Farmers Welfare, Government of India Expert on Agriculture Statistics Assistance • Reviewed progress made in the preparation to agriculture census • Assisted with the evaluation of the pilot census (operation, analysis, etc) and finalization the census methodology, listing frame, plan, instruments, editing specifications, and manuals for the census operation.
• • Developed methodology for the post-enumeration survey Provided guidance and on- the-job training to staff on managing and implementing the agriculture census • Oversaw the training of enumerators and initial data collection • Assisted with editing and quality checks • Assisted in evaluating the results of the agriculture census, considering the Census coverage, quality checks, field validation and editing of census tables • Assisted with planning the follow-up statistical activities: reviewing the plan for surveys, updated statistics training and succession plan • Assisted with analysing and disseminating census results, conducted training (remotely) on analysis and report writing oversaw the final editing and the production of clean data • Oversaw work on the preparation of the Fiji Agriculture Census report and assisted in finalizing the report General Table & Descriptive Analysis Report 7 7 CONSULTANTS OF THE 2020 FIJI AGRICULTURE CENSUS (FAC) Area of Expertise 2020 FAC Job Title Areas of Technical Name of Consultant Ms. Lanieta Makita Vakadewabuka Former Principal Stat- istician, Fiji Bureau of Statistics National Consultant on Statistics Assistance • Assisted advised in determining the data items for 2020FAC, using classifications, on the census methodology, and assisted in undertaking the user workshop • Assisted the household and non-household sector questionnaires and field operation manual in designing • Assisted the census staff with the preparation of the main census activity including: • census public awareness and promotion census field operation recruiting of the census staff • • • • Launched and deployed final CAPI system for fieldwork.
training on CAPI Provided Quality Control to Area Coordinators and Headquarters staff • Troubleshot CAPI issues during fieldwork.
• Oversaw data cleaning • Design of a data processing and • • • tabulation system; Production of final data tables lessons for a Production of remote video based training course on Statistical Package for the Social Sciences (SPSS) technical full Prepared documentation data processing and tabulation system Mr. Waisiki Gonemaituba Former Chief Economist Ministry of Agriculture Mr Lachlan Bruce Survey Consultant for the United Nations, Asian Development Bank, and World Bank in Asia and the Pacific Expert on CAPI and Data Processing General Table & Descriptive Analysis Report 8 62,546 8,445 88.1% 11.9% 300,861 51.7% 48.3% 190,460 2020 FAC KEY FINDINGS Main data items 2020FAC % share A household is a small group of persons who share the same living accommodation, contribute their income and wealth to acquire certain goods and services, and share the same eating arrangement.
An “agricultural household” is defined as a household where the main economic activity identified is farming, i.e.

it practices any agricultural activity (such as crop, livestock, fisheries and/or forestry) during the reference period of the 2020 Fiji Agriculture Census (2020FAC) AGRICULTURAL HOUSEHOLDS Number of agricultural households 70,991 This comprises 99.1% of the total household interviewed in the rural and part of peri-urban areas where agriculture is commonly practiced.
• Male head of household • Female head of household AGRICULTURAL HOUSEHOLD MEMBERS Count of agricultural household members 81.9% (246,373) of agriculture household members are age 10 years old and older • Agricultural number of household members – Male • Agricultural number household members – Female 155,534 145,327 Number of agricultural household members who participated in at least one of the agriculture activities: crop, livestock, fishing and/or forestry (age 10 years old or older) This consists of 77.3% of the total members of Agriculture Household with 10 years old and above in the rural and part of peri-urban areas where agriculture is commonly practiced.
• Male • Female 101,338 89,122 Number of agricultural household members (age10 years old or older) who participated in crop activities 53.2% 46.8% 188,768 A total of 188,768 members participated in at least one crop activity during last 12 months of the agriculture census reference period, representing 76.6% of agricultural household member’s age 10 years old or older.
This finding is the result of a multiple-choice question, therefore, the number of members engaged in different agri- cultural activities may not add up to 246,373 (members aged 10 years old or older).
• Male • Female 100,734 88,034 Number of agricultural household members (age10 years old or older) who participated in livestock activities 53.4% 46.6% 28,719 General Table & Descriptive Analysis Report 9 9 Main Data Items 2020FAC % share A total of 28,719 members participated in at least one livestock activity during last 12 months the agriculture census reference period, representing 11.7% of agricultural household member’s age 10 years old or older.
This finding is a result of a multiple-choice question, therefore, the number of members engaged in different agricultural activities may not add up to 246,373 (members aged 10 old years or older).
• Male • Female 24,118 4,601 Number of agricultural household members (age10 years old or older) who participated in Forestry Activities 84.0% 16.0% 183,129 A total of 183,129 members who participated in at least one forest activities during 12 months of the agriculture cen- sus reference period, representing 74.3% of agricultural household members age 10 years old and older.
This finding is the result of a multiple-choice question, therefore, the number of members engaged in different agricultural activi- ties may not add up to 246,373 (members aged 10 years old or older).

• Male • Female 95,592 87,537 Number of Agricultural Household Members (age10 years old or older) who participated in Fishing Activities (10 yrs.
old or above) 52.2% 47.8% 69,836 A total of 69,836 members participated in at least one fishing activity during 12 months of the agriculture census reference period, representing 28.3% of agricultural household members age 10 years old or older.

This finding is the result of a multiple-choice question, therefore, the number of members engaged in different agricultural activities may not add up to 246,373 (members aged 10 years old or older).
• Male • Female FARMER DEMOGRAPHICS 37,602 32,234 53.8% 46.2% A farmer is a member of an agricultural household who identifies farming (crop and/or livestock) as his/her pri- mary or secondary occupation Number of farmers in Fiji 83,395 Out of a total of 190,460 members (10 years old and older) who participated in at least one agricultural activity, 43.8% (83,395) confirmed crop farming and/or raising livestock as their primary or secondary occupation.
A total of 101,338 male members and 89,122 female members participated in at least one agricultural activity but only 70.5% of males and 13.4% of females considered crop farming and/or raising livestock as their primary or secondary oc- cupation.

• Male • Female Number of Farmers by Age Group 71,424 11,971 85.6% 14.4% 83,395 The modal age of farmers lies in the age group of 30–39 years, having 22.4% of the total farmers, though a little over 15.4% (12,853) of the farmers are age 60 years or older.
There are 42.7% (35,388) of farmers in the age group of 10 to 39 years old while 57.3% (47,807) are age 40 years old or older • x≥10yrs≤19yrs.

• • • • • x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Number of farmers by their farming occupation status 2,434 14,515 18,639 17,715 17,239 12,853 2.9% 17.4% 22.4% 21.2% 20.7% 15.4% 83,395 The highest proportion of farmers, at 59.4%, is that of unpaid family worker/subsistence farmer followed by 39.5% as self-employed farmer.
The rest of the occupation categories account for less than half percentage point each.
• • Employer Self-Employed 222 32,949 0.3% 39.5% General Table & Descriptive Analysis Report 10 Main Data Items • Paid Family Worker • Unpaid Family Worker • Volunteer Number of farmers who have savings bank account 2020FAC % share 296 49,866 62 0.4% 59.8% 0.1% 42,751 Overall, 51.3% (42,751) of farmers have saving bank account, though the proportion of male farmers having saving bank account, at 53.2%, is significantly higher compared to female farmers, with only 40.0% having savings bank account.
Out of the total 42,751 farmers who have savings account, 88.8% are male and 11.2% are female.

• Male • Female Number of farmers who own mobile phones 37,965 4,786 88.8% 11.2% 52,769 Overall, 63.3% (52,769) of farmers have mobile phones, though the proportion of male farmers having mobile phones, at 64.8%, is significantly higher compared to female farmers, at 54.5%.

Out of the total 52,769 farmers who have mobile phones, 87.6% are male and 12.4% are female.
• Male • Female AGRICULTURAL HOUSEHOLD PARTICULARS AGRICULTURAL HOUSEHOLD Number of Agricultural Households by House Type 46,244 6,525 87.6% 12.4% 70,991 Overall, 96.3% of total agricultural households had independent dwelling units and a small proportion, 3.3%, were housed in buildings having two or more households.

Only a miniscule proportion, 0.4%, of agricultural households were housed in structures other than the two mentioned.
• • Independent Dwelling Building housing two or more households • Other House Type Number of agricultural households by building outer wall type 68,380 2,345 266 96.3% 3.3% 0.4% 70,991 The highest proportion households, at of 37.3% had permanent walls of tin or corrugated iron, followed by wooden walls at 34.1%, concrete brick or cement at 22.2%, and all remaining categories accounted for less than 1% each.
• Concrete, brick or cement wall • Wooden wall • Permanent wall of tin or corrugated iron • Wall of traditional bure (straw and wood) materials • Wall of makeshift or improvised materials • Other wall type Number of agricultural households by main source of water supply 19,302 24,202 26,493 545 389 60 27.2% 34.1% 37.3% 0.8% 0.5% 0.1% 70,991 The highest proportion of households, at 39.4%, had metered water supply, followed by piped water without a me- ter at 28.6%, from a communal standpipe at 11.0%, borehole at 8.6%, roof tank at 6.1%, and well at 1.8%.
• Metered • Piped without meter • Communal standpipe • Roof tank • Borehole • Well • River or Creek • Other water source Number of agricultural households by main source of light 27,949 20,280 7,777 4,318 6,074 1,302 1,458 1,833 39.4% 28.6% 11.0% 6.1% 8.6% 1.8% 2.1% 2.6% 70,991 General Table & Descriptive Analysis Report 11 11 Main Data Items 2020FAC % share Electricity as the source of light in the agricultural households accounts for the highest proportion at 70.6%, followed by solar power at 25.2%, and kerosene at 2.2%.
Only 1.9% of households used sources other than those mentioned for light.
• Electricity • Kerosene Lamp • • Benzene Lamp Solar Power Unit • Other Source of Lighting FARM LAND Total area of farm land (ha) 50,122 1,553 86 17,862 1,368 70.6% 2.2% 0.1% 25.2% 1.9% 194,768.6 More than half of the entire land, 54.1% of the total agricultural land (194,768.6 ha), is operated under traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu), followed by 23.7% under native lease, 13.9% under freehold, 6.0% under lease from the State, and 2.1% under informal arrangement.
Only a miniscule proportion, 0.2%, of area is operated without any legal arrangement or other such arrangement.
• • Freehold land Lease from State • Native lease • Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu) • Occupy land with informal arrangement • Occupy without any legal arrangement • Other Total number of farm land parcels Total number of farming households with farmland by farm size 27,005.2 11,618.0 46,198.2 105,388.3 4,128.8 347.8 82.3 13.9% 6.0% 23.7% 54.1% 2.1% 0.2% 0.04% 76,774 68,424 The highest proportion, 65.0% households, have agricultural land that is less than 1 ha, followed by 21.0% with land area from more than 1 to 3 ha, 6.2% from more than 3 to 5 ha, 4.4% from more than 5 to 10 ha, 2.0% between more than 10 to 20 ha, and 0.9% between more than20 to 50 ha.
The remaining two sizes of farms, more than 50 to 100 ha, and 100 ha or more, account for less than 0.5% of households each.

Thus, the households with up to 5 ha of agricul- tural land account for more than 92.2% of total agricultural households in the country.
• < 1 ha • 1 – 3 ha • 3 - 5 ha • 5 - 10 ha • 10 - 20 ha • 20 - 50 ha • 50 - 100 ha • 100 ha or more Total area of farm land by land-use type (ha) 44,475 14,383 4,255 3,000 1,355 598 145 213 65.0% 21.0% 6.2% 4.4% 2.0% 0.9% 0.2% 0.3% 194,768.6 During the agriculture census reference year, 22.8% of operated area was occupied by temporary crops, 6.4% was fallow for one year or more, 14.3% was under permanent crops with no pastures, 17.5% under permanent crops with pastures, 10.3% under temporary meadows and pastures, 14.0% under permanent meadows and pastures, and 14.8% under uses other than those described.
• Temporary crops • Fallow for one year or more • Permanent crops (no pastures) 44,327.7 12,430.2 27,814.4 22.8% 6.4% 14.3% General Table & Descriptive Analysis Report 12 Main Data Items • Permanent crops with pastures • Temporary meadows and pastures (supply pastures) • Permanent meadows and pastures • Others Areas of farm land by years of use for agriculture (ha) 2020FAC % share 34,037.1 20,053.8 27,312.8 28,792.6 17.5% 10.3% 14.0% 14.8% 194,768.6 The highest proportion of 64.1% of operated farming area is under use of the current farmer for more than ten years while the lowest proportion of 3.9% is being operated for 6-8 years.
The operated area under the use of the current farmer for a period of up to 2 years accounts for 7.6%, 2 to 4 years for 7.6%, 4 to 6 years for 7.8% and 8 to 10 years for 8.9%.
• Up to 4 Years • More than 4 Years and up to 8 Years • More than 8 Years CROPS Total volume of production (metric tonnes) 29,626 22,825 142,316 15.2% 11.7% 73.1% 399,056.7 During the 2020FAC reference period (12 months preceding 10 February 2020), the total volume of crop produc- tion in the country was recorded at 399,056.7 metric tonnes.
The production of temporary crops represents 76.7% (306,035.2 metric tonnes) of the total crop production, while the remaining 23.3% (93,021.6 metric tonnes) is ac- counted for by permanent crops.
• Central Division • Eastern Division • Northern Division • Western Division Total gross value of production (FJD’000) 145,774.9 36,720.1 105,815.3 110,746.4 36.5% 9.2% 26.5% 27.8% 2,558,747.6 During the 2020FAC reference period (12 months preceding 10 February 2020), the total value of crop produced in the country was recorded at $2.5 billion.

The value of temporary crops represents 93.6% ($2.3 billion) of the total value, while the remaining 6.4% ($163.6 million) is accounted for by permanent crops.
• Central Division • Eastern Division • Northern Division • Western Division LIVESTOCK 458,120.5 132,747.4 1,672,100.8 295,778.9 17.90% 5.19% 65.35% 11.56% Out of the total 22,991 livestock farming households in the country, 20.9% come from Central Division, 6.7% from Eastern Division, 44.0% from Western Division and 28.4% from Northern Division.
During the Census reference period, 26.7% of livestock farming households in Fiji had dairy cattle, 28.3% had beef cattle, 11.0% had sheep, 35.6% had goat, 37.0% had pigs, 38.5% had poultry and 4.5% involved in apiculture.

It may be noted that some total of proportions of different category of livestock farming households does not equal to hundred as some of the farmers may be farming more than one type of livestock.
(See Table 5.1, 5.2 and Figure 5.1 and 5.1.2 for distribution of livestock farming household by Division & Province).
Number of Households Involved in raising Livestock 22,991 • Beef Cattle • Dairy Cattle • Pig • Goat • • Sheep Poultry • Apiculture Number of Stock/Sheds/Hives • Beef Cattle • Dairy Cattle 6,498 6,144 8,515 9,212 4,341 8,862 1,294 70,041 49,650 General Table & Descriptive Analysis Report 13 13 Main Data Items • Pig • Goat • • Sheep Poultry • Apiculture FORESTRY HOUSEHOLDS 2020FAC % share 58,420 143,853 37,435 1,449,857 13,162 During the reference period of the 2020FAC, a total of 70,991 agricultural households were reported in the country, out of which 69,476 households, constituting 97.9%, were involved in forestry activities.
It may be noted that these households may also be involved in other agricultural activities (crop, livestock and/or fishing), therefore, the num- ber of households involved in four agriculture activities will not add up to 70,991.

Of the households involved in forestry activities, 88.5% were headed by males, with 11.5% of households headed by females.
Number of household participating in forest activities • Male head of household • Female head of household HOUSEHOLD MEMBERS 61,456 8,020 69,476 88.5% 11.5% During the 2020FAC reference period, 7.9% of household members were engaged in planting trees (e.g.

sandal- wood, mahogany, etc.

), 33.8% in planting voivoi, 4.7% in planting masi, 0.4% in tree nursery work, and 98.1% in gathering firewood/cutting tree branches, 31.8% in harvesting wild food (e.g.

ota, etc.
ota, etc.

), 3.8% in harvesting of masi, 31.6% in harvesting of voivoi, 91.2% in harvesting wild plants for herbal medicine, 18.3% in engaged in producing handicrafts, 6.1% in selling handicraft and, wild foods etc., and 0.2% in forest activities other than those described.

The sum total of percentages for different activities exceeds one hundred as household members often work on more than one activity.
Number of household members participating in different types of forest activities • Male • Female Number of Household members participated in Different Types of Forest Activities • Planting trees (eg.

sandalwood, mahogany, etc) o Male o Female • Planting voivoi o Male o Female • Planting masi o Male o Female • Tree nursery work o Male o Female • Gathering firewood o Male o Female • Harvesting wild food (e.g.

ota, etc.)
o Male o Female • Harvesting of masi o Male General Table & Descriptive Analysis Report o Female • Harvesting of voivoi Main Data Items o Male o Female • Harvesting wild plants for herbal medicine o Male o Female • Handicraft o Male o Female • Selling handicrafts, wild foods, etc.
o Male o Female PRIMARY OR SECONDARY OCCUPATION 407 2020FAC 1,893 11,368 86,915 86,503 445 7,476 262 984 53.1% 13,261 % share 14.3% 85.7% 173,418 50.1% 49.9% 7,921 5.6% 94.4% 1,246 21.0% 79.0% Out of a total 183,129 household members who reported their involvement or participation in forestry activities, only 14,094 members, constituting a small fraction of 7.7%, considered their participation in forestry activities as either their primary or secondary occupation.
Even among such persons, a large majority, 82.0%, had forestry as secondary occupation and only 18% reported forestry as their primary occupation.

Further, among members who reported forestry as either their primary or secondary occupation, 48.8% were male and 51.2% were female.

This is mainly because of women’s greater involvement in activities such as planting and harvesting voivoi, planting and harvesting masi, and producing and selling handicrafts.
Number of household members who considered forestry activities as their primary or sec- ondary occupation • Male • Female 6,880 7,214 Number of household members who considered their involvement in forestry activities as primary or secondary occupation by age group • • • • • • x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.
Number of household members who considered forestry activities as their primary or secondary occupation and have a savings account • Male • Female 672 2,859 3,157 2,763 2,709 1,934 2,662 1,601 Number of household members who considered forestry activities as their primary or secondary occupation and own mobile phones • Male • Female 3,516 1,953 14,094 48.8% 51.2% 14,094 4.8% 20.3% 22.4% 19.6% 19.2% 13.7% 4,263 62.4% 37.6% 5,469 64.3% 35.7% Number of households by agriculture activities and tasks will not add up to total number of households engaged in at least one agriculture activity or tasks as it is a multiple-choice question.
FISHING HOUSEHOLDS During the reference period of the 2020FAC, a total of 70,991 agricultural households were reported in the country, out of which 29,450 households, constituting 41.5%, were involved in fishing activities.

It may be noted that these households may have also been involved in other agriculture activities (crop, livestock, and forestry).

Therefore, sum total of the number of households involved in different agricultural activities will not add up to 70,991.
The proportion of households involved in fishing activities that were headed by males was 89.9%, and 10.1% was headed by females.
General Table & Descriptive Analysis Report 15 15 Number of households engaged in fishing Main Data Items • Male head of household • Female Head of Household 29,450 2020FAC 100.0% % share 26,480 2,970 Number of households engaged in fishing by type of fishing and aquaculture activities • Inshore fishing o Male head of household o Female head of household • Offshore fishing o Male head of household o Female head of household • Freshwater fishing o Male head of household o Female head of household • Making fish products at home for sale o Male head of household o Female head of household • Selling fish and other fish products o Male head of household o Female head of household HOUSEHOLD MEMBERS 17,054 1,852 7,983 553 11,703 1,436 4,694 337 626 34 89.9% 10.1% 29,450 18,906 90.2% 9.8% 8,536 93.5% 6.5% 13,139 89.1% 10.9% 5,031 93.3% 6.7% 660 94.8% 5.2% Out of 69,836 household members participating or involved in fishing activities, 53.8% were male and 46.2% were female.
The 2020FAC reveals that during the reference period, 57.9% of such members were engaged in inshore fish- ing, 23.9% in offshore fishing, 26.1% in freshwater fishing, 8.8% in making fish products at home for sale, and 1.1% in selling fish and other fish products.

It may be noted here that the sum total of percentages for different activities exceeds hundred as persons often work on more than one activity.
Number of household members participated in at least one fishing activity • Male household members • Female household members Number of household members participated in fishing by type of activity • Inshore fishing o Male household members o Female household members • Offshore fishing o Male household members o Female household members • Freshwater fishing o Male household members o Female Household Members • Making fish products at home for sale o Male household members o Female household members • Selling fish and other fish products o Male household members o Female household members PRIMARY OR SECONDARY OCCUPATION General Table & Descriptive Analysis Report Out of a total of 69,836 household members who reported their involvement and participation in fishing activities during the census reference period, only 4,513 members, constituting a small fraction of 6.5%, had fishing as either their primary or secondary occupation.
Among such members, 49.6% had fishing as primary occupation and 50.5% reported fishing as their secondary occupation.

Further, among members who reported fishing occupation, 66.6% were male and 33.4% were female.

Main Data Items 2020FAC Number of household members who considered fishing as their primary or secondary occupation • Male • Female 3,007 1,506 Number of household members who considered fishing as their primary or secondary occupation by age group • • • • • • x≥10yrs≤19yrs.

x>19yrs≤29yrs.
x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.
Number of household members who considered fishing as their primary or secondary occupation and have a savings account • Male • Female Number of household members who considered fishing as their primary or secondary occupation and owned mobile phones • Male • Female CLIMATE CHANGE AGRICULTURAL HOUSEHOLD 121 797 1,133 1,078 862 522 1,299 339 1,841 494 % share 4,513 66.6% 33.4% 4,513 2.7% 17.7% 25.1% 23.9% 19.1% 11.6% 1,638 79.3% 20.7% 2,335 78.8% 21.2% During the reference period of 2020FAC, 75.2% (53,376) of agricultural households in Fiji reported having an awareness of climate change, whereas 20.6% (14,599) reported as being somewhat aware.
Only 4.2% (3,016) households were found not having awareness about climate change.
Understood climate change • Male head of household • Female head of household Don’t understand climate change • Male head of household • Female head of household Some understanding about climate change • Male head of household • Female head of household 47,734 5,642 2,546 470 12,584 2,015 53,376 89.4% 10.6% 3,016 84.4% 15.6% 14,599 86.2% 13.8% AGRICULTURAL EQUIPMENTS (Crop, Livestock, Fisheries, Forestry) AGRICULTURAL HOUSEHOLD During Agriculture Census reference period in Fiji, 14.2% (10,045) of agricultural households used machinery.
This constitutes 73.4% small machinery users and 26.6% heavy machinery users.

Number of agriculture households that used agricultural machinery in the last 12 months • Small machinery • Heavy machinery AGRICULTURAL SERVICES (Crop, Livestock, Fisheries, Forestry) 7,369 2,673 10,045 73.4% 26.6% General Table & Descriptive Analysis Report 17 17 AGRICULTURE HOUSEHOLDS During the 2020FAC reference period, 96.4% (68,416) agricultural households had access to agriculture extension services.
This constitutes 88.7% male-headed households and 11.3% female-headed households.
Number of agriculture households that accessed agriculture extension services Main Data Items • Male head of household • Female head of household FOOD INSECURITY AGRICULTURE HOUSEHOLDS 2020FAC 60,652 7,764 68,416 % share 88.7% 11.3% Number of agriculture households by accessibility to balanced meals three times a day During the 2020FAC reference period, 41.0% of agricultural households always had access to balanced meals three times a day, 53.5% had access to three balance meals a day only sometimes, and 3.6% never had access to a balanced meal.
It may be noted that sum total of percentages for different responses does not equal to hundred, as some of the households refused to respond to this question.
• Always • Sometimes • Never 29,131 38,007 2,530 Number of agriculture households by how often (often, sometimes or never) they ran out of food due to lack of money or other resources During the 2020FAC reference period, 4.0% agricultural households often ran out of food due to lack of money or other resources, 32.2% ran out of food sometimes due to lack of money, and 62.0% never ran out of food due to lack of money or other resources.
• Often • Sometimes • Never 2,817 22,824 44,026 General Table & Descriptive Analysis Report 18 SECTION 1: METHODOLOGY General Table & Descriptive Analysis Report 19 19 1.0 2020 FIJI AGRICULTURE CENSUS “A Census of Agriculture is a statistical operation for collecting, processing and disseminating data on the structure of agriculture, covering the whole or a significant part of a country.” The agriculture census is one of the key pillars of any national statistical system, and in many developing countries, it is often the only means of producing statistical information on the structure or growth of the agriculture sector captured at the smallest unit of data collection, which is the household level.
Most Fijians depend on agriculture (crop and livestock), fishing and forestry for their livelihoods.

As a small island state, Fiji is vulnerable to climate change, natural disasters and economic shocks.

Therefore, it is imperative to have the necessary data sets that clearly identifies these occurrences and allows for a responsive development strategies based on evidence.
The Fijian Government’s 5-Year and 20-Year National Development Plans (NDPs) committed to carrying out a national agriculture census in 2020.

This timeline corresponded well with the World Programme for the Census of Agriculture 2020 (WCA 2020).

The NDP is committed to supporting the achievement of the following goals: • • Develop a national food and nutrition security policy or framework; and Continue broad-based support to agriculture as a key driver of economic growth and poverty alleviation.
WCA 2020 provides the basis for supporting agricultural censuses by the Food and Agriculture Organization (FAO) in United Nations member countries between 2016 and 2025.

Fiji, through the Ministry of Agriculture (MoA), along with other Pacific Island countries (Guam, Niue, Samoa and Vanuatu), adopted the World Census of Agriculture 2020 Guidelines for conducting a national census of agriculture in 2020.
The 2020FAC slogan “Your Voice, Your Future, Be Counted” was instigated to help farmers recognize that participating in this important national exercise is their responsibility and a decision for a better future in agriculture.

2.0 AUTHORITY FOR THE AGRICULTURE CENSUS The Government of Fiji, through a Cabinet decision on 17 May 2019, approved the Implementation of the 2020 Fiji Agriculture Census by the MoA.
3.0 OBJECTIVES The aim of the agricultural census is to provide basic structural data on agriculture such as farm sizes, cropping patterns, and use of machinery and inputs, etc.

Specifically, the objectives of 2020FAC were; • To provide baseline data on the structure of Fiji’s agriculture sector.

• To improve and update Fiji’s Agriculture and Rural Statistics System capacity to generate quality agricultural data.
• To provide evidence for planning and policy decision making in the agriculture sector and national development.

• To provide an updated listing frame for future agriculture censuses and surveys.

• To provide basic data to help monitor progress of the agriculture sector towards national, regional and global development targets, in particular the Sustainable Development Goals (SDGs).
General Table & Descriptive Analysis Report 20 4.0 SCOPE The 2020FAC aims to measure the structure of Fiji’s agriculture sector.

The scope covers all four agricultural sub-sectors: crop, livestock, fisheries, forestry; and incorporates all related activities.

This was not possible with previous censuses due their limited scope, which only captured information on crop and livestock, with coverage on other sub-sectors only recorded if the interviewed farming households also practiced these activities.
In the present agriculture census, data has been collected at household and institutional (holding) levels.

Institutional data has been collected from institutions like schools, group-owned farming organizations and large commercial farms that are not owned by households.

5.0 COVERAGE For the purpose of the 2020FAC, 81,943 households were visited, whereby 71,631 were successfully interviewed.
The attempts to interview the remaining 10,312 households were not successful due to the following reasons: • Refusal to interview after three attempts • Entire household absent for six months or more • No household member at home despite three visits Visited: 81, 943 Household Interviewed: 71,631 Household Agricultural Household: 70, 991 Out of the 71,631households interviewed, 99.1% (70,991) were involved in agricultural activities.
These households came from 197 districts and 4,178 localities in rural and part of the peri-urban areas of Fiji.

The selection of areas in the peri-urban sector was based on the result of the 2017 Population and Housing Census.

The selected areas were identified, verified on the ground and demarcated by the MoA GIS team before they were recognized as the 2020FAC boundary.
The previous four agriculture censuses (1968, 1978, 1991, and 2009) were conducted on a sample basis, and covered only rural and maritime areas due to limitations on budget and other resources.

This restricted coverage resulted in truncating the scope of farming households and farmers in Fiji and, therefore, provided an incomplete frame for agriculture production surveys that were subsequently conducted by MoA.
However, the 2020FAC is the first ever agriculture census conducted on a complete enumeration basis encompassing all the four sub-sectors of agriculture and covering the entire rural and part of the peri- urban areas in Fiji where agriculture is commonly practiced.

This census will, therefore, generate a complete frame for future agriculture surveys that will be conducted by MoA and other interested agencies.
General Table & Descriptive Analysis Report 21 21 Table I: Coverage of 2020 FAC by Sectors/Division Division Sector Number of Localities Total Household Visited Total Household Interviewed Total Agriculture Household Interviewed Central Rural Part of Peri-urban Eastern Northern Western Total Rural Part of Peri-urban Total Rural Part of Peri-urban Total Rural Part of Peri-urban Total TOTAL QUESTIONNAIRE The Ministry of Agriculture through the Fiji Agriculture & Rural Statistics Unit formulated and designed two Questionnaires that was used for data collection in the 2020FAC for Household and Non-Household (Institutions) with technical assistance and guidance from FAO Consultants, Technical Working Group and Technical staff of the three sub-sectors; crop & livestock, fisheries and forestry.
The 2020 FAC questionnaire was designed after the scope, coverage and approach was determined; • Type of Holding: Both the Household and Non-Household (Institution) Holdings were targeted • Method of Data Collection: Electronic questionnaire was designed on World Bank Survey Solution Questionnaire Designer software as tool for conducting face to face interview.
Data Items were determined from the followings; • Output of Questionnaire Framework – “Themes Essential and Frame items” that was circulated to core agricultural agencies; Ministry of Agriculture, Ministry of Forestry and Ministry of Fisheries (see Figure 1 below) General Table & Descriptive Analysis Report 22 Figure 1: Planning Matrix for identifying Essential and Frame Items for 2020FAC Planning content for 2019 Agriculture Census Organisation: Completed by: Date: Item Number Item Please complete for all your priority items.
Return to Sainiana Kirisiti- ana <sainiana.kirisitiana@govnet.gov.fj> by 15 October 2015 2009 Ag- riculture Census?

Do you require for 2019?

Please give reasons Fiji Policy/ Strategy Relevance?

Other reasons to collect Other comments Theme 01: Identification and general characteristics See World Census of Agriculture 2020 Volume 1 chapter 7 and 8 for details.
E F 0101 E E E E F E F 0102 0103 0104 0105 0106 0107 0108 0109 0110 0111- 0113 Other Identification and location of agricultural holding Respondent for the hold- ing Legal status of agricultural holder (type of holder) Y N Y Sex of agricultural holder Y Age of agricultural holder Y -group National/ethnic group of household head or agri- cultural holder Main purpose of produc- tion of the holding Other economic activities of the household Proportion of income from holding’s agricultural production in household’s total income Y N Y Y Main agricultural activity of the holding Y Details of hired manager (presence, age, sex) Manager not identified add rows as needed Theme 02: Land E F E E 0201 0202 0203 0204- 0206 0207 0209, 0210 Other Total area of holding Area of holding according to land use types Area of holding according to land tenure types Parcel details - location, area, Land use, Land tenure, rent Rent Use of shifting cultivation, Years since cleared add rows as needed Y Y Y Y N N E F Essential Item Frame item for future in depth survey General Table & Descriptive Analysis Report 23 23 Outputs or Data Needs identified from internal and external stakeholders consultations o o o o o o o 2nd June 2019 @ 10am to 4.00pm: MoA, Crop Extension Division 3rd June 2019 @ 10am to 4.00pm : MoA, Animal Health & Production Division 4th June 2019 @ 10am to 1.00pm : Ministry of Fisheries 4th June 2019 @ 2pm to 4.30pm : Ministry of Health (National Food & Nutrition Centre) 5th June 2019 @ 9am to 10.00am : Ministry of Rural & Maritime Development 5th June 2019 @ 11am to 1.00pm : Ministry of Women, Children and Poverty Alleviation 5th June 2019 @ 2pm to 4.00pm : Ministry of iTaukei Affairs Primary Reference Documents: World Programme for the Census of Agriculture 2020, 2009 National Agriculture Census Questionnaire The identified data items were mapped and analysed based on other alternative sources, priorities and frame for future in depth survey.
As a result, thirteen (13) sections were introduced which contained 413 questions.

The Questionnaire was designed on World Bank Survey Solution Questionnaire Designer software proposed by UNFAO as part of the CAPI system.

The Questionnaire designer used a structural design that allows easy flow and capture of information supported by the use of rosters (even rosters within rosters), sections and subsections.
Administrator had to assign users for the Enumerators, Area Coordinators (Supervisors) and Headquarters staff.

A draft questionnaire was presented at the TWG Meeting and Data User Conference on 29th November 2019 at Tanoa International Hotel, Suva followed by consultation with Professors from Fiji National University and University of the South Pacific who were invited to scrutinize the 2020FAC Draft Questionnaire.
The questionnaire was finalized after incorporating inputs received from all these consultations.

7.0 PILOT CENSUS A Pilot Census was carried out in selected localities throughout Fiji to test the questionnaires, data collection methods, the training programme for field staff, instruction manuals, data editing and coding procedures, data processing and tabulation.
The first questionnaire pre-test was conducted in-house from 20–26 June 2019, before the first field pre-test, which was undertaken on 10 July 2019.

The main purpose was to test the flow and structure of questions in the questionnaire.

Two teams of enumerators and observers from four ministries (Ministry of Agriculture, Ministry of Fisheries, Ministry of Forestry and Ministry of Women) were deployed in Deuba District, Serua, for field pre- test.
The second pre-test was conducted in the Sigatoka area along the sugarcane belt-areas in Ba.

The duration of interview per questionnaire and enumerators depth of understanding on 2020FAC questionnaire was also tested.

Refer to 2020FAC: Volume 4: Administration Report for further details on the questionnaire and training manuals.

The results of the Pilot Census were utilized to make further improvements in the census instruments including the data processing system.
A complete set of tables was produced using data from the pilot to evaluate the quality of data and tabulation software.

General Table & Descriptive Analysis Report 24 8.0 FIELD OPERATION MANUAL The manuals are very helpful in establishing the procedures to be followed and the work expected to be carried out during such large-scale data collection exercises.
The majority of the staff could carry out the census work and resolve the challenges in their own way, but it is essential that they all proceeded in the same manner at all levels (high-level staff, supervisors, enumerators).

For this, they must follow the same concept, definitions and procedures.

With a comprehensive instruction manual, it is much easier to achieve this objective and maintain data comparability.
There were two manuals prepared for the 2020FAC: • Field Operation Manual for Enumerators and Field Supervisors • Data Verification Manual for Area Coordinators (Supervisors) Both the manuals clearly lay down concepts, definitions, procedures and instructions that are relevant to the nature of field operation and office data verification using the survey solution supervisors’ account.
Due to time and resource constraints, the activities for both the questionnaire and manual development were undertaken simultaneously under the guidance of FAO Consultants.
Thorough consultations with Technical Operational Divisions, Crop Extension, Animal Health and Production, Ministry of Fisheries and Ministry of Forestry, along with the clear process documented in the 2017 Population & Housing Supervisors Manual, contributed to the successful drafting of 2020FAC Field Operation Manual and Area Coordinators Manual.

Apart from the Consultation, the 2009 NAC Field Operation Manual was also used as a reference document.
The draft manual was used at the Area Coordinators, Field Supervisors and Enumerators Training.

Thereafter, it was updated incorporating the feedback and printed in a handy A5-size document convenient for Enumerators and Field Supervisors, and was made available a week before the field work for census commenced on 10 February 2020.

The content of the two manuals are as follows; 1.
Field Operation Manual Part 1: Overview of 2020FAC (Introduction, Coverage, Scope, Reference Period, Concepts and Definitions) Part 2: Roles and Responsibility – Enumerator and Field Supervisor (Responsibility and Terms and Conditions of Service) Part 3: Field Operation Structure and CAPI System Structure Part 4: Survey Operations (Interview Techniques, Hours of Work, Enumeration Area, Method & Techniques of Covering EA and Map Reading, Approach of Addressing Empty Dwellings and Refusals, Method of Last Coverage Checks and Labelling, and Data Quality Control) Part 5: 2020FAC Questionnaire Components 2.
Area Coordinators Manual Part 1: Terms of Reference and Roles Part 2: Instructions of how to use features exist in the CAPI Supervisors account Full detail of the 2 Manuals can be accessed through Volume 4 Annex of the 2020 FAC Report.
General Table & Descriptive Analysis Report 25 25 9.0 CENSUS REFERENCE PERIOD Reference Period Enumeration Period • February 10th to 29th, 2020 as per the Cabi- net approval on 17th May 2019 • • Reference period for Census: past 12 months from the date of commencement of census (10th Feb 2020).

For better recall and accurate reporting, shorter reference period were also included for different sections and simple calculations were recommended to capture the last 12 months data e.g.
for fishing activities, questions were referenced at weekly basis, milk production for 3 months • The census reference day is a point in time used for livestock numbers and other inventory items.

Climate Change Impact – 10 years • 10.0 ENUMERATION PERIOD The field work of 2020 Fiji Agriculture Census was undertaken during 10 to 29 February 2020, covering 70,991 agricultural households in the rural sector and selected peri-urban boundary areas where agricultural activities are commonly practiced.
This was the first time that all four sub-sectors of agriculture: crop, livestock, fisheries and forestry were covered on a complete enumeration basis.

11.0 USE OF COMPUTER ASSISTED PERSONAL INTERVIEWING (CAPI) The Ministry of Agriculture adopted the Computer Assisted Personal Interviewing (CAPI) system through Survey Solution software on tablets for data collection during the 2020FAC.
Each census enumerator was provided with a tablet for use in the census data collection, replacing the paper questionnaires used in past censuses.

CAPI was used for both the household and institutional questionnaires.

As mentioned earlier, the census questionnaires were designed to accommodate the CAPI methodology.

Questionnaires were loaded into the tablets and the census enumerators then asked the questions as displayed on the screen and entered responses directly into the tablets.
Once an interview was completed, the questionnaire was submitted electronically to the respective area coordinator.

Within the CAPI system, the questionnaires were structured to provide a coherent sequence of questions and to lead enumerators efficiently through the questionnaire.

Each question to be asked was displayed on the screen, and questions that were not relevant based on the answers to previous questions were automatically skipped.
A comprehensive array of data validation checks was incorporated into the CAPI data collection system to help enumerators identify possible errors/outliers in the data reported.

This was done as the responses were recorded so that enumerators could correct the data on the spot.

This greatly improved data quality compared with previous censuses.

There were two types of validation checks.


The first was a check for data that were incorrect, such as the area under different land-use categories for a parcel not adding to the area of the parcel.

Here, an error message was displayed on the screen, and the enumerator was required to correct the data.

The second was a check on data that might be wrong or were unusual in some way, such as a household having 1,000 cattle.
Here, a warning message was displayed on the screen, and the enumerator had to verify with the respondent that the data were correct.

Apart from the two validation checks, there were field supervisors assigned to all enumerators to provide agriculture technical advice.

The field supervisors were required to provide last checks on all cases before they were synced daily.
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n o i t a c fi i r e v s s e n e t e l p m o c g n i k c e h C General Table & Descriptive Analysis Report 28 13.0 DATA DISSEMINATION The products, services, and dissemination methods and tools for the 2020FAC results and findings were determined through TWG Committee meetings, consultations with stakeholders and the Data User Conference.

A Preliminary Report was prepared and submitted to the Permanent Secretary of Agriculture on 14 August 2020.
The final results of the 2020FAC are anticipated to be tabulated, analysed, printed and published in four volumes: (1) Descriptive Analysis Report (2) Detail Analysis and Report of 2020FAC Enumeration Area (3) Gender Analysis Report and (4) Administrative Report.

All volumes will be printed and available from the MoA website.
A platform will be set up for the Agriculture Statistics Online Output System, whereby results will be presented through an online dashboard system including Arc-GIS (Maps), videos and info-graphics.

This report, Volume 1, covers the general tables derived from the 2020FAC data after statistical processing.
14.0 DATA ARCHIVING An anonymized (de-identified) version of the database in SPSS format has been produced, in which all respondent details such as names, household number and GPS co-ordinates have been removed.

These identifying variables are stored in a separate database that can be re-identified by running an SPSS syntax.

The 2020 FAC micro-data, final tables and final reports will be secured in the MoA main server located in the MoA IT room with limited access by the Stats IT Officers.
General Table & Descriptive Analysis Report 29 29 SECTION 2: 2020FAC RESULTS AND FINDINGS General Table & Descriptive Analysis Report 30 CHAPTER 1: DEMOGRAPHIC General Table & Descriptive Analysis Report 31 31 A.

List of Tables No.
Table Number Table Name AGRICULTURE HOUSEHOLD Page Number i 1.1 1.2 1.3 1.4 1.5 1.6(a) 1.6(b): 1.7 Distribution of Agriculture Household, Members and Average Household Size by Division Number of Agricultural Households by Size of Household Number of Agricultural Households Members by Sex/Age Group/ Division/Province Number of Agricultural Household Members by Educational Attainment and Currently Studying/Sex/Division/Province Number and Percentage of Agricultural Household Members at- tended Agriculture Training by Province/Sex/Division/Province (only asked to members with 10 yrs.
and above) Number of Agricultural Household Members by Sex/Marital Status/ Division/Province (only asked to members with 18 yrs old and above) Distribution of Agriculture Household Members Participation on Agriculture Activities by Sex/Division Number of Agricultural Household Members by Division/Province/ Agricultural Activities/Sex Distribution of Agriculture Household Members/Agricultural Tasks/ Sex/Division FARMERS PARTICULARS ii 1.8 (a) 1.8 (b) 1.9 1.10 1.11 1.12 1.13 1.14 1.15 1.16 1.17 1.18 1.19 Percentage Distribution of Farmers/ Division /Sex Number of Farmers by Primary and Secondary Occupation/Division/ Fiji/Sex Number of Farmers by Primary and Secondary Occupation/Division/ Province/Sex Number of Farmers by Sex and Age Group/Division/Province Number of Farmers by Educational Attainment and Currently Studying/Sex/Division/Province Number of Farmers by Sex and Marital Status/Division/Province Number of Farmers by Sex and Occupation Status/Division/Province Farmers Participation by Agricultural Activities/Division/Province Number of Farmers Involved in Different Crop Tasks/Sex/Division Number of Farmers Involved in Different Livestock Tasks/Sex/ Division Number of Farmers by Type Functioning Challenges/Sex/Age/ Division Number of Farmers with Savings Account by Age-Group/Sex/ Division/Province Number of Farmers without any Savings Account by Reason/ Age-Group/Sex/Division/Province 34 35 37 40 43 44 47 48 52 62 62 63 64 68 71 74 78 79 85 87 91 98 Number of Farmers with Mobile Phone by Sex/Age Group/Division/ Province 105 General Table & Descriptive Analysis Report 32 B.
List of Figures No.
Figure Number Name Page Number A B 1.2.1 1.2.2 1.3.1 1.4.1 1.6.1 1.7.1 1.9.1 1.10.1 1.12(a) 1.12(b): 1.12(c) 1.12(d) 1.12(e ) 1.17.1 Distribution of Agriculture Household by Division, 2020 Distribution of Agriculture Household Population by Division, 2020 Age-Sex Structure of Ag Household Members in Fiji, 2020 Distribution of Agriculture Population by Sex in Fiji, 2020 Highest Educational Attainment/Currently Studying of Agriculture Population by Sex Distribution of Agriculture HH Members who attended Agriculture Training by Province Percentage of Male and Female Participation by Agriculture Activities Percentage distribution by Agricultural Tasks Age-Sex Structure of Farmers Population in Fiji Percentage Distribution of Farmers Population by Highest Education Attained and Currently Studying in Fiji Farmers Occupational Status: FIJI Farmers Occupational Status: Central Farmers Occupational Status: Eastern Farmers Occupational Status: Western Farmers Occupational Status: Northern % Distribution of Farmers With and Without Savings Account by Sex 1.19.1 Distribution of Farmers With and Without Mobile Phones by Sex 34 34 36 36 39 43 47 51 63 67 77 90 104 General Table & Descriptive Analysis Report 33 33 Total Agricultural Household 70,991 88.1% 11.9% Total Agricultural Household Members 300,861 51.7% 48.3% Members - 10 Years Old And Above 246,373 190,460 53.2% 46.8% 188,768 Members participated in crop activities 28,719 Members participated in livestock activities 183,129 Members participated in forestry activities 69,836 Members participated in 53.4% 46.6% 84.0% 16.0% 52.2% 47.8% 53.8% 46.2% General Table & Descriptive Analysis Report 34 C. Tables and Graphs This chapter contain sets of tables that reflects 2020 FAC Demographic results in two parts; i) Agriculture Households A Household is a small group of persons who share the same living accommodation, contribute their income and wealth to acquire certain goods and services and share the same eating arrangement.
The same defines an “Agricultural Household” where the main economic activity identified is farming or the practice of any agricultural activity: crop, livestock, fisheries and forestry.

ii) Farmers Particulars A Farmer is a member of an Agricultural Household who identifies farming crop or raising livestock as his or her primary or secondary occupation in the last 12 months since the 2020FAC period (10–29 February 2020).
However, the set of tables presented does not identify those agriculture household members who are temporarily involved or assisted in crop farming or raising livestock in the last 12 months.

The tables only present those agriculture household members who identify farming crop and raising livestock as their permanent occupation or main economic activity.

i.
i.

AGRICULTURAL HOUSEHOLD The 2020FAC recorded a total of 70,991 agricultural households with a total population of 300,861 from rural and part of peri-urban areas of Fiji.

Table I highlights the distribution of agricultural household members by Division according to coverage that was carried out during the census period.
Table I: Distribution of Agricultural Household, Members and Average Household Size by Division Division Agricultural Household Sex of Ag Household Members Male Female Total Agricultural Household Members Central Eastern Western Northern Fiji Count 18,029 5,969 26,771 20,222 70,991 Count 40,031 12,349 58,277 44,877 155,534 % 51.3 53.7 51.1 52.3 51.7 Count 37,984 10,651 55840 40852 145,327 % 48.7 46.3 48.9 47.7 48.3 Count 78,015 23,000 114,117 85,729 300,861 % 100.0 100.0 100.0 100.0 100.0 Average Agricultural Household Size 4.3 3.8 4.3 4.2 4.2 The seven tables below records demographics particulars of agricultural household members.
The following Tables- 1.4, 1.5, 1.6 and 1.7 highlights findings of a sub-set of agricultural household members who are 10 years old and above (Tables 1.4, 1.6 and 1.7) or 18 years old and above (Table 1.5), therefore, the total count for these tables will not tally with the total enumerated agricultural household members (300,861) as highlighted in Tables 1.1, 1.2 and 1.3.
Figure A: Distribution of Agricultural Household by Division, 2020 Figure B: Distribution of Agricultural Household Population by Division, 2020 Northern 20222 29% Central 18029 25% Northern 85729 28% Eastern 5969 8% Western 26771 38% Central 78015 26% Eastern 23000 8% Western 114117 38% General Table & Descriptive Analysis Report 35 35 Size of Agricultural Household 1.1 It can be seen from table 1.1 that out of a total of 70,991 Agricultural Households in the country, 25.4% (18,029) households are located in Central ivision, 8.41% (5,969) households in Eastern Division, 37.7% (26,771) households in Western Division and 28.5% (20,222) i households are located in Northern Division.
The single person households account for 6.1% (4,319) of agricultural households whereas 2.0% (1,443) households have 10 persons or more.

The average size of households stand at more than 4 members all province except for Kadavu, Lau, and Lomaiviti in the Eastern Division where the average size of household is slightly fewer than 4 members per household.
Table 1.1: Number of Agricultural Households by Size of Household/Division/Province n o i s i v i D Province 1 Member 2-3 Members 4-5 Members 6-9 Members 10 or more Members Number of Agricultural Households % t n u o C t n u o C % t n u o C % t n u o C % t % n u o C t n u o C % e z i S H H e g a r e v A Fiji Total 4,319 6.1% 24,907 35.1% 24,447 34.4% 15,875 22.4% 1,443 2.0% 70,991 100% 4.2 Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/ Navosa Ra Total Bua Caka- udrove Macuata 552 5.8% 3,774 Total 1,173 5.8% 7,282 l a r t n e C n r e t s a E n r e t s e W n r e h t r o N Sex and Age Distribution of Agricultural Household Population Out of a total 300,861 members of agricultural households, 51.7% (155,534) are males and 48.3% (145,327) are females.
A total of 54,488 (18.1%) members are aged younger than 10 years and 34,030 (11.3%) members are of age 60 years or older.

The median age for males is within the age group of 29 - 39 years (x>29yrs≤39yrs) and the medium age for females is within the age group of 19 - 29 years (x>19yrs≤29yrs).

For additional information and detail on gender, refer to 2020FAC Vol 3 - Gender Report.
General Table & Descriptive Analysis Report 36 Figure 1.2.1: Age-Sex Structure of Agricultural Household Members in Fiji, 2020 Figure 1.2.2: Distribution of Agricultural Househol Members by Sex in Fiji, 2020 Male Female x> 59yrs < 10yrs 20% 15% 10% 5% 0% 5% 10% 15% 20% General Table & Descriptive Analysis Report 37 37 4 3 5 5 5 1 , 2 5 3 7 1 , 7 2 3 5 4 1 , 1 6 8 0 0 3 , 6 6 2 0 1 , 5 0 5 9 , 1 7 7 9 1 , 6 1 6 2 , 1 0 4 2 , 7 1 0 5 , 5 9 6 6 , 4 2 4 6 , 8 7 6 6 1 , 0 3 0 4 3 , 1 9 1 1 , 4 4 0 1 , 5 3 2 2 , 7 8 2 1 3 2 8 1 5 6 2 7 9 7 6 1 2 1 8 1 , 2 9 4 6 1 , 3 1 6 4 3 , 9 9 0 1 , 5 1 0 1 , 4 1 1 2 , 0 9 2 4 7 2 4 6 5 1 8 6 6 5 6 9 1 1 3 1 , 5 0 4 1 , 7 3 3 1 , 2 4 3 4 , 7 6 2 4 , 9 0 6 8 , 2 1 1 6 1 , 7 8 3 5 1 , 9 9 4 1 3 , 1 3 0 0 4 , 4 8 9 7 3 , 5 1 0 8 7 , 0 4 4 9 1 4 9 5 8 8 3 9 1 , 1 6 7 1 , 9 9 6 3 , 2 8 5 4 , 4 3 1 4 , 6 1 7 8 , 8 9 4 8 9 4 6 9 9 8 0 9 1 , 1 5 7 1 , 9 5 6 3 , 6 7 4 4 , 4 9 1 4 , 0 7 6 8 , 1 5 0 9 1 , 9 9 3 7 1 , 0 5 4 6 3 , 9 9 1 1 , 2 0 1 1 , 1 0 3 2 , 1 0 3 4 8 2 5 8 5 9 4 7 9 7 6 8 3 5 1 1 5 8 2 4 1 , 9 4 0 1 , 9 3 9 1 , 5 2 9 1 , 4 6 8 3 , 6 2 7 4 , 1 0 5 4 , 7 2 2 9 , 8 5 4 2 2 , 9 7 5 1 2 , 7 3 0 4 4 , 4 7 4 1 , 2 0 4 1 , 6 7 8 2 , 3 8 3 9 5 3 2 4 7 1 0 9 6 1 9 7 1 8 1 , 6 3 6 7 1 6 3 5 2 1 , 6 2 3 2 , 9 6 2 2 , 5 9 5 4 , 0 2 7 5 , 3 6 5 5 , 7 3 7 2 2 , 5 6 9 0 2 , 2 0 7 3 4 , 0 0 5 1 , 8 0 4 1 , 8 0 9 2 , 9 8 3 1 6 3 0 5 7 6 6 9 0 8 9 9 4 6 5 3 6 6 4 9 1 , 4 8 2 1 , 0 2 4 2 , 6 0 3 2 , 6 2 7 4 , 4 2 9 5 , 0 9 6 5 , 7 0 8 7 2 , 4 3 7 5 2 , 1 4 5 3 5 , 4 1 9 1 , 4 9 6 1 , 8 0 6 3 , 8 6 4 1 4 4 9 0 9 3 5 2 1 , 9 9 1 1 , 2 5 4 2 , 2 0 8 8 6 7 0 7 5 1 , 1 9 8 2 , 9 6 6 2 , 0 6 5 5 , 8 2 3 7 , 1 7 7 6 , 8 0 0 8 2 , 0 8 4 6 2 , 8 8 4 4 5 , 9 8 8 1 , 0 4 8 1 , 9 2 7 3 , 8 9 4 1 5 4 9 4 9 9 1 4 1 , 5 1 3 1 , 4 3 7 2 , 9 7 7 9 1 8 8 9 5 1 , 0 9 6 2 , 6 0 7 2 , 6 9 3 5 , 5 7 2 7 , 1 3 1 7 , 3 8 2 1 1 , 4 1 6 1 1 , 9 9 0 4 1 , 6 0 4 4 1 , l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x .
s r y 9 1 ≤ .
s r y 0 1 ≥ x s r y 0 1 < / n o i s i v i D / p u o r G e g A / : 2 .
1 e l b a T General Table & Descriptive Analysis Report 38 6 6 6 3 , 3 2 9 2 , 9 8 5 6 , 8 5 6 3 , 6 7 2 3 , 4 3 9 6 , 4 2 2 4 , 1 1 7 3 , 5 3 9 7 , 1 0 8 1 4 7 2 4 5 1 , 9 4 3 2 1 , 1 5 6 0 1 , 0 0 0 3 2 , 4 6 3 1 3 , 3 4 1 0 3 , 7 0 5 1 6 , 4 0 3 8 1 , 9 5 5 7 1 , 3 6 8 5 3 , 9 0 6 8 , 8 3 1 8 , 7 4 7 6 1 , 7 7 2 8 5 , 0 4 8 5 5 , , 7 5 2 1 , 2 9 8 2 , 6 8 4 3 , 2 9 5 3 , 8 7 0 7 , 1 9 9 1 , 3 4 0 2 , 4 3 0 4 , 5 5 9 7 3 9 2 9 8 1 , 2 3 4 6 , 2 7 5 6 , , 6 8 2 1 , 0 3 8 2 , 2 0 8 3 , 9 9 5 3 , 1 0 4 7 , 3 2 1 2 , 8 7 9 1 , 1 0 1 4 , 8 2 9 6 5 8 4 8 7 1 , 3 5 8 6 , 3 3 4 6 , , 0 6 2 1 , 4 2 7 2 , 1 6 8 3 , 7 7 5 3 , 8 3 4 7 , 7 8 2 2 , 0 7 0 2 , 7 5 3 4 , 9 8 9 9 1 9 8 0 9 1 , 7 3 1 7 , 6 6 5 6 , 3 8 5 7 6 5 0 5 1 1 , 5 7 4 4 9 4 9 6 9 3 8 5 9 5 5 3 8 7 7 2 4 1 1 , 0 6 1 4 2 7 1 , 7 9 6 1 , 1 2 4 3 , 4 2 9 4 , 1 3 6 4 , 5 5 5 9 , 6 2 6 2 , 7 9 6 2 , 3 2 3 5 , 3 1 2 1 , 7 7 1 1 , 0 9 3 2 , 3 6 7 8 , 5 0 5 8 , , 6 6 1 1 , 2 5 6 2 , 7 1 7 4 , 1 5 6 4 , 8 6 3 9 , 3 7 7 2 , 4 2 6 2 , 7 9 3 5 , 8 6 0 1 , 7 5 0 1 , 5 2 1 2 , 8 5 5 8 , 2 3 3 8 , 7 1 1 4 1 1 , 4 0 0 3 1 , 6 8 2 3 1 , 3 0 7 3 1 , 8 6 2 7 1 , 0 9 8 6 1 , 1 8 5 7 4 4 8 2 0 1 , 3 0 7 8 7 5 1 8 2 1 , 5 6 7 0 1 7 5 7 4 1 , 0 8 1 7 6 1 7 4 3 9 2 2 2 , 2 0 9 1 , 1 3 1 4 , 0 7 2 5 , 6 7 0 5 , 6 4 3 0 1 , 8 7 1 3 , 2 5 9 2 , 0 3 1 6 , 2 9 5 1 , 8 3 4 1 , 0 3 0 3 , 0 4 0 0 1 , 6 6 4 9 , 6 0 5 9 1 , 0 1 6 2 3 5 2 4 1 1 , 6 2 7 8 4 6 4 7 3 1 , 9 0 8 0 7 7 9 7 5 1 , 2 2 1 3 3 1 5 5 2 7 6 2 2 , 3 8 0 2 , 0 5 3 4 , 4 0 3 5 , 7 1 0 5 , 1 2 3 0 1 , 6 2 3 3 , 5 9 1 3 , 1 2 5 6 , 4 6 8 1 , 4 5 7 1 , 8 1 6 3 , 4 9 4 0 1 , 6 6 9 9 , 0 6 4 0 2 , l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 >
 x .
s r y 9 1 ≤ .
s r y 0 1 ≥ x s r y 0 1 < / a g o r d a N a s o v a N a R l a t o T a B n r e t s e W General Table & Descriptive Analysis Report 39 39 e c n i v o r P / n o i s i v i D / p u o r G e g A / : 2 .
1 e l b a T 0 3 9 6 , 9 4 2 6 , 9 7 1 3 1 , 6 3 3 8 1 , 9 5 8 5 1 , 5 9 1 4 3 , 1 1 6 9 1 , 4 4 7 8 1 , 5 5 3 8 3 , 7 7 8 4 4 , 2 5 8 0 4 , 9 2 7 5 8 , 7 9 6 6 3 6 3 3 3 1 , 4 4 7 1 , 0 0 6 1 , 4 4 3 3 , 2 6 2 2 , 9 7 4 2 , 1 4 7 4 , 3 0 7 4 , 5 1 7 4 , 8 1 4 9 , 7 0 7 6 4 6 3 5 3 1 , 7 5 8 1 , 5 1 5 1 , 2 7 3 3 , 4 8 6 2 , 8 1 4 2 , 2 0 1 5 , 8 4 2 5 , 9 7 5 4 , 7 2 8 9 , 0 0 8 7 6 6 7 6 4 1 , 3 8 1 2 , 6 3 8 1 , 9 1 0 4 , 1 4 7 2 , 9 6 5 2 , 0 1 3 5 , 4 2 7 5 , 2 7 0 5 , 5 6 9 0 2 9 5 8 8 1 , 9 4 5 2 , 5 9 2 2 , 4 4 8 4 , 7 3 7 2 , 9 9 5 2 , 6 3 3 5 , 1 5 2 6 , 4 1 8 5 , 1 6 8 1 2 0 1 , 2 8 8 1 , 2 2 9 2 , 9 3 2 2 , 1 6 1 5 , 6 2 8 2 , 7 7 6 2 , 3 0 5 5 , 9 6 7 6 , 7 7 7 5 , 0 3 3 1 , 2 0 2 1 , 2 3 5 2 , 9 4 3 3 , 9 9 9 2 , 8 4 3 6 , 1 3 5 3 , 4 9 3 3 , 5 2 9 6 , 0 1 2 8 , 5 9 5 7 , 0 1 4 1 , 7 1 3 1 , 7 2 7 2 , 2 3 7 3 , 5 7 3 3 , 7 0 1 7 , 0 3 8 2 , 8 0 6 2 , 8 3 4 5 , 2 7 9 7 , 0 0 3 7 , 6 9 7 0 1 , 5 6 0 2 1 , 6 4 5 2 1 , 5 0 8 5 1 , 2 7 2 5 1 , l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x .
s r y 9 1 ≤ .

s r y 0 1 ≥ x s r y 0 1 < / n o i s i v i D / p u o r G e g A / : 2 .
/ t n e m n i a t t A l a n o i t a c u d E t s e h g i H : 1 .

3 .

1 e r u g i F 0 2 0 2 , .

1 General Table & Descriptive Analysis Report 40 % 5 3 3 .
n o i t r o p o r p t s e h g i h e h t , , f o l a t o t a h t i W e l b a e z i s r e h t o n A .

0 1 – , ) 8 0 7 0 0 1 ( , , ) 8 3 4 6 0 1 ( , % 4 5 3 .

, n o i t r o p o r p .


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d n a n o i s i v i D , .
l e v e l e c n i v o r P 6 2 7 3 , 7 2 5 3 , 3 5 2 7 , 5 6 9 9 0 9 4 7 8 1 , 5 7 5 2 , 3 8 4 2 , 8 5 0 5 , 9 5 5 1 , 9 9 5 1 , 8 5 1 3 , 5 9 4 5 , 9 2 4 5 , 4 2 9 0 1 , 0 2 3 4 1 , 7 4 9 3 1 , 7 6 2 8 2 , 2 0 5 1 0 5 3 0 0 1 , 1 3 1 5 3 1 6 6 2 4 1 5 2 1 5 5 2 3 4 2 3 9 4 6 6 2 0 1 , 5 7 1 1 , 3 6 1 1 , 8 3 3 2 , 7 4 6 2 , 5 3 6 2 , 2 8 2 5 , , 2 5 1 2 5 , 0 4 1 9 , 2 4 8 8 , 8 3 4 6 0 1 , 2 8 9 7 1 , 5 4 6 8 1 7 1 , 3 6 3 2 , ) E F S F ( 4 4 2 4 , 7 1 8 4 , 1 6 0 9 , , 1 1 2 1 , 9 3 3 1 , 0 5 5 2 , r a e Y 2 1 - 1 1 ) C L S F ( 2 9 6 1 2 , 9 7 3 3 2 , 1 7 0 5 4 , 6 5 4 1 , 4 3 6 1 , 0 9 0 3 , 9 9 3 5 4 4 4 4 8 7 4 9 0 3 1 1 , 7 7 0 2 , 4 0 7 3 9 6 7 9 3 1 , 0 6 4 2 , 0 0 7 2 , 0 6 1 5 , 6 6 9 5 , 2 0 6 6 , 8 6 5 2 1 , 0 1 - 9 r a e Y 8 - 7 r a e Y 6 - 5 r a e Y 4 - 1 r a e Y / l o o h c S e r P ) C J F ( 2 8 8 2 5 , 6 2 8 7 4 , 6 5 5 8 , 1 8 8 5 , 8 0 7 0 0 1 , 7 3 4 4 1 , 7 3 5 3 , 2 1 1 3 , 9 4 6 6 , 0 6 8 8 3 7 8 9 5 1 , 3 4 0 2 , 5 3 8 1 , 8 7 8 3 , 6 8 3 1 , 4 1 3 1 , 0 0 7 2 , 8 5 4 5 , 0 5 8 4 , 8 0 3 0 1 , 4 8 2 3 1 , 9 4 8 1 1 , 3 3 1 5 2 , , 6 5 5 1 , 7 5 0 1 , 3 1 6 2 , 2 4 1 2 , 1 4 3 1 , 3 8 4 3 , , - - - 1 1 2 2 2 4 - a
/ n o i s i v i D / x e S / : 3 .
General Table & Descriptive Analysis Report 41 41 ) E F S F ( 2 6 9 6 6 0 2 , 2 5 3 1 , 9 0 2 1 , 1 6 5 2 , 2 1 5 1 , 1 6 4 1 , 3 7 9 2 , 3 9 2 6 9 2 9 8 5 1 6 2 4 , 8 2 9 3 , 9 8 1 8 , 8 6 3 0 1 , 8 7 0 0 1 , 6 4 4 0 2 , 6 4 3 6 , 6 0 1 6 , 2 5 4 2 1 , 9 5 3 3 , 1 7 1 3 , 0 3 5 6 , 3 7 0 0 2 , 5 5 3 9 1 , 8 2 4 9 3 , , 8 8 1 2 , 8 3 1 2 , 6 2 3 4 , 1 9 9 0 7 9 1 6 9 1 , 9 1 3 6 1 3 5 3 6 8 9 4 3 , 4 2 4 3 , 2 2 9 6 , 2 1 4 4 7 3 5 1 2 5 9 4 8 1 7 6 1 1 - , 2 5 1 2 , 5 9 4 7 1 6 2 1 1 1 , 8 7 1 5 1 2 3 9 3 5 6 6 1 , 2 9 9 1 , 7 5 6 3 , r a e Y 2 1 - 1 1 ) C L S F ( 6 1 6 8 9 2 1 , 9 3 3 0 7 3 9 0 7 7 9 6 7 9 6 4 6 6 8 4 9 3 1 , 0 5 1 2 8 7 1 , 9 6 7 1 , 1 5 5 3 , 6 2 3 4 , 8 7 8 4 , 4 0 2 9 , 3 0 7 2 , 9 3 9 2 , 2 4 6 5 , 6 6 0 1 , 7 2 2 1 , 3 9 2 2 , 5 9 0 8 , 4 4 0 9 , 9 3 1 7 1 , 0 1 - 9 r a e Y 8 - 7 r a e Y 6 - 5 r a e Y 4 - 1 r a e Y / l o o h c S e r P ) C J F ( 1 1 0 1 , 8 9 3 2 , 6 1 3 1 , 3 3 1 1 , 9 4 4 2 , 1 5 5 1 , 5 0 2 1 , 6 5 7 2 , 2 0 3 4 5 2 6 5 5 6 5 5 4 , 3 0 6 3 , 9 5 1 8 , 8 2 6 0 1 , 3 3 0 0 1 , 1 6 6 0 2 , 0 2 2 6 , 5 3 9 5 , 5 5 1 2 1 , 0 5 8 2 , 1 8 6 2 , 1 3 5 5 , 8 9 6 9 1 , 9 4 6 8 1 , 7 4 3 8 3 , , 7 9 8 1 , 4 4 3 1 , 1 4 2 3 , 3 7 0 1 , 2 1 7 5 8 7 1 , 1 1 6 1 2 4 2 3 0 1 , 1 8 5 3 , 7 7 4 2 , 8 5 0 6 , , - - - - 1 1 - 1 1 1 4 5 6 1 3 1 9 2 6
1 8 4 4 2 3 - - - - 1 1 - / / n o i s i v i D / x e S / : 3 .
General Table & Descriptive Analysis Report 42 ) E F S F ( ) C L S F ( 2 1 - 1 1 ) C J F ( n e t r a g r e d n i K r a e Y 0 1 - 9 r a e Y 8 - 7 r a e Y 6 - 5 r a e Y 4 - 1 r a e Y / / n o i s i v i D / x e S / : 3 .
1 e l b a T 5 1 6 2 , 0 9 4 2 , 5 0 1 5 , 4 6 7 6 , 5 9 2 6 , 9 5 0 3 1 , 3 5 2 6 , 7 3 1 6 , 0 9 3 2 1 , 2 3 6 5 1 , 2 2 9 4 1 , 4 5 5 0 3 , 9 2 3 5 1 3 4 4 6 8 1 8 6 8 7 4 0 6 1 , 7 8 2 1 , 6 8 1 1 , 3 7 4 2 , 4 3 4 2 , 7 8 2 2 , 1 2 7 4 , , 6 4 4 2 8 4 8 2 9 7 0 1 1 , 1 1 2 1 , 8 1 3 2 , 3 2 8 4 7 8 7 9 6 1 , 7 7 5 2 , 1 5 4 2 , 8 2 0 5 , 9 4 4 2 , 9 3 6 2 , 8 8 0 5 , 9 4 8 5 , 4 6 9 5 , 3 1 8 1 1 , 4 2 3 2 , 3 8 9 1 , 7 0 3 4 , 7 7 8 5 , 9 2 8 4 , 6 0 7 0 1 , 3 4 1 7 , 3 1 9 6 , 6 5 0 4 1 , 4 4 3 5 1 , 5 2 7 3 1 , 9 6 0 9 2 , 4 6 4 0 0 3 4 6 7 0 8 0 1 , 4 5 6 4 3 7 1 , 7 3 2 1 , 7 3 9 4 7 1 2 , 1 8 7 2 , 1 9 8 1 , 2 7 6 4 , , - - - , .
1 n o i s i v i D n r e t s a E d n a % 8 4 2 t a n o i s i v i D .

l a r t n e C , .

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0 2 0 2 , b e F 0 1 – 9 1 0 2 , y r a u r b e F 0 1 ( d o i r e p .

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% 0 9 t a General Table & Descriptive Analysis Report 43 43 / : 4 .

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% 0 4 2 .

% 8 7 1 .

% 9 5 2 .

% 5 4 2 .

% 7 3 2 .

% 7 3 2 .

% 2 4 1 .

% 9 4 1 .

% 9 4 1 .

% 5 0 3 .

% 5 5 1 .

% 5 9 2 .

% 8 8 1 .

% 2 3 2 .

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% 6 7 1 .

% 2 9 2 .

% 4 9 2 .

% 2 7 2 .


e l a m e F 6 3 2 3 , , % % 3 5 7 .

% 0 6 7 .

% 2 2 8 .

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% 3 6 7 .

% 8 5 8 .

% 1 5 8 .

% 1 5 8 .

% 5 9 6 .

% 5 4 8 .

% 5 0 7 .

% 2 1 8 .

% 8 6 7 .

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% 8 2 7 .


e l a M 5 7 8 9 , t n u o C 9 8 5 2 7 2 1 1 4 1 7 2 9 3 9 2 8 4 2 , 9 9 1 8 9 2 2 6 4 1 4 0 0 0 1 , 3 8 3 1 , 9 6 8 6 3 6 4 1 7 8 8 8 2 , 4 7 1 1 , 7 1 6 1 , 5 0 5 3 , x e S e c n i v o r P n o i s i v i D a m u t o R % 5 0 .

u v a d a K i s o m a N % 8 1 .

% 5 2 .

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n r e t s e W n r e h t r o N % 4 9 .

/ a g o r d a N a s o v a N % 4 9 .

, u v e l i a T a u B % 6 6 .

a w e R % 2 4 .

i r i s a t i a N % 0 6 .

a R % 3 6 .

l a r t n e C i j i F a B % 0 5 1 .


a u r e S % 7 2 .

, i t i v i a m o L % 1 4 .

General Table & Descriptive Analysis Report 44 e r e w ) 6 0 5 2 4 ( , % 1 1 2 .

, s r e b m e m h c u s 4 6 5 1 0 2 f o , l a t o t a f o t u o , y r i u q n e f o e t a d e h t n o s A .
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1 e r e w % .

d e c r o v i d r o d e t a r a p e s e r e w ) 0 6 1 4 ( , .

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p i h s n o i t a l e r o t c a f e d n i g n i v i l ) ( e c n i v o r P / n o i s i v i D / s u t a t S l a t i r a M / : 5 .
, , 8 3 2 1 , 8 4 7 2 , , 9 6 1 1 1 , 2 5 4 5 1 , , 8 0 7 1 , 0 2 1 1 , 0 6 7 2 , 0 8 8 3 , 3 0 8 7 8 6 0 9 4 1 , , 1 4 4 8 6 , 6 5 9 7 3 1 , 4 7 5 4 , 3 7 4 4 , 7 4 0 9 , 6 4 1 1 , 2 2 1 1 , 8 6 2 2 , 6 0 8 2 , 4 2 8 2 , 0 3 6 5 , 0 7 8 1 , 8 3 8 1 , 8 0 7 3 , 8 6 0 7 , 8 2 0 7 , 6 9 0 4 1 , 4 6 4 7 1 , 5 8 2 7 1 , 9 4 7 4 3 , 4 5 5 7 2 , 2 5 9 4 1 , 6 0 5 2 4 , 2 9 7 1 , 5 6 9 7 5 7 2 , 2 6 4 4 7 2 6 3 7 3 3 1 1 , 3 1 7 6 4 8 1 , 1 9 7 9 3 5 0 3 3 1 , 9 8 1 3 , 5 8 8 1 , 4 7 0 5 , 7 6 3 7 , 6 7 3 4 , 3 4 7 1 1 , General Table & Descriptive Analysis Report 45 45 ) ( e c n i v o r P / n o i s i v i D / s u t a t S l a t i r a M / : 5 .
, , 2 9 4 3 , 9 8 5 0 1 5 1 , 9 9 0 2 , 3 0 2 4 0 6 7 0 8 0 2 7 1 , 8 7 6 4 , 8 9 3 6 , , 9 7 6 1 , 1 8 4 3 , 7 6 6 1 , 9 1 6 1 , 6 8 2 3 , 3 7 8 1 , 4 3 7 1 , 7 0 6 3 , 7 2 3 4 1 3 1 4 6 9 6 6 5 , 6 4 3 5 , 5 1 0 1 1 , 2 3 4 4 1 , 3 8 3 4 1 , 5 1 8 8 2 , 7 9 9 7 , 7 4 9 7 , 4 4 9 5 1 , 9 7 6 3 , 8 5 6 3 , 7 3 3 7 , 8 0 1 6 2 , 8 8 9 5 2 , 6 9 0 2 5 , , 2 7 7 8 6 8 1 , 0 4 6 2 , 8 1 7 5 , 0 3 4 3 , 8 4 1 9 , 5 5 3 3 , 9 2 1 2 , 4 8 4 5 , 2 6 3 1 , 1 3 7 3 9 0 2 , 5 3 4 0 1 , 0 9 2 6 , 5 2 7 6 1 , / a g o r d a N a s o v a N a R l a t o T a B n r e t s e W General Table & Descriptive Analysis Report 46 ) ( e c n i v o r P / n o i s i v i D / s u t a t S l a t i r a M / : 5 .
, 4 9 7 1 , 1 0 3 2 , 4 6 0 1 , 7 4 1 3 , 1 1 2 4 , , 8 2 9 2 , 6 2 9 5 , 2 5 6 7 , 3 7 3 7 , 5 2 0 5 1 , 4 2 6 9 , 1 2 5 9 , 5 4 1 9 1 , 4 7 2 0 2 , 2 2 8 9 1 , 6 9 0 0 4 , 6 7 4 8 4 1 1 , 4 2 6 1 , 2 6 3 3 , 8 9 2 1 , 0 6 6 4 , 4 7 3 3 , 0 4 7 1 , 4 1 1 5 , 4 8 8 7 , 4 1 5 3 , 8 9 3 1 1 , General Table & Descriptive Analysis Report 47 47 1.6 Agricultural Household Members Participation by Agricultural Activities total Agricultural Household members The interviewed (agricultural and non-agricultural) with 10 years old and above was recorded at 247,250 during the agriculture census period.
Out of this, 77.0% (190,460) participated in at least one agricultural activity in any of the four sub-sectors; crop, livestock, fisheries and forestry in the last 12 months from Agriculture census period.

Figure 1.6.1: Percentage of Male and Female Participation by Agricultural Activities Female Male 100% 90% 80% 70% 60% 40% 50% It may be noted that since a person can be involved in more than one activity during last one year from the date of the agricultural census, he may be counted more than once.
Therefore, the sum of persons involved in different activities may not add up to the total number of persons engaged in agricultural activities.

Figure 1.6.1 shows less gap in terms of male and female participation on crop activities, forestry activities and fishing activities.
This does not only reflect household members who considered involvement in agriculture activity as primary and secondary occupation, but it also represents those members who temporarily participated or assisted in any agricultural activities when it was needed in the last 12 months.
Working on Forestry Working on Livestock Working on Crops 20% 10% 0% Fishing 30% Table 1.6 (a) below highlights that out of 188,768 members who participated in crop activities from 70,801 households, 53.4% (100,734) were males whereas 46.6% (88,034) were females; out of 28,719 members who participated in livestock activities from 23,011 households, 84.0% (24,118) were males whereas 16.0% (4,601) were females; out of 183,129 members who participated in Forestry activities from 69,476 households, 52.2% (95,592) were males whereas 47.8% (87,537) were females and out of 69,711 members who participated in Fishing activities from 29,554 households, 53.8% (37,505) were males whereas 46.2% (32,206) were females.Detail gender analysis can be seen in Volume 3 of the 2020FAC Report “Gender Analysis Report”.
Table 1.6(a): Distribution of Agricultural Household Members Participation on Agricultural Activities by Sex/Division Division Type of Agricultural Activities Central Working on Crop Working on Livestock Working on Forestry Fishing Eastern Working on Crop Working on Livestock Working on Forestry Fishing Western Working on Crop Working on Livestock Working on Forestry Fishing Northern Working on Crop Working on Livestock Working on Forestry Fishing FIJI Working on Crop Working on Livestock Working on Forestry Fishing Male Population Female Population Total Count 25,952 5,323 24,475 14,351 7,954 1,762 7,462 7,292 37,758 10,290 35,708 6,106 29,070 6,743 27,947 9,853 100,734 24,118 95,592 37,602 % 53.1% 84.3% 51.8% 51.8% 56.4% 87.2% 54.3% 54.3% 52.4% 86.4% 51.2% 56.3% 54.2% 79.6% 53.3% 55.2% 53.4% 84.0% 52.2% 53.8% Count 22,967 992 22,795 13,336 6,145 259 6,287 6,140 34,365 1,619 33,981 4,746 24,557 1,731 24,474 8,012 88,034 4,601 87,537 32,234 % General Table & Descriptive Analysis Report 48 s e i t i v i t c A g n i h s i F - i v i t c A y r t s e r o F - / s e i t i v i t c A l a r u t l u c i r g A / e c n i v o r P / : ) b ( 6 .
1 e l b a T 2 0 6 7 3 , 4 3 2 2 3 , 6 3 8 9 6 , 8 3 5 3 , 3 7 2 3 , 1 1 8 6 , 1 2 2 1 , 5 3 1 1 , 6 5 3 2 , 2 1 2 2 , 9 7 0 2 , 1 9 2 4 , 2 0 2 1 , 5 8 0 1 , 7 8 2 2 , 8 7 1 6 , 4 6 7 5 , 2 4 9 1 1 , 1 5 3 4 1 , 6 3 3 3 1 , 7 8 6 7 2 , 4 2 3 2 , 2 3 8 1 , 6 5 1 4 , s e i t 2 9 5 5 9 , 7 3 5 7 8 , 9 2 1 3 8 1 , 3 3 1 6 , 8 6 5 5 , 1 0 7 1 1 , 8 7 5 1 , 2 4 4 1 , 0 2 0 3 , 6 3 9 3 , 1 6 7 3 , 7 9 6 7 , 9 9 5 2 , 5 7 4 2 , 4 7 0 5 , 9 2 2 0 1 , 9 4 5 9 , 8 7 7 9 1 , 5 7 4 4 2 , 5 9 7 2 2 , 0 7 2 7 4 , 2 6 3 2 , 7 5 8 1 , 9 1 2 4 , s e i t 8 1 1 4 2 , 1 0 6 4 , 9 1 7 8 2 , 8 0 4 1 , 0 8 2 8 8 6 1 , , 5 7 5 2 , 3 2 3 5 , 2 9 9 5 1 3 6 , 3 4 3 5 4 8 8 3 4 3 7 0 0 1 , 4 3 0 8 8 , 8 6 7 8 8 1 , 1 2 6 6 , 5 2 6 5 , 6 4 2 2 1 , 8 8 6 1 , 7 6 4 1 , 5 5 1 3 , 7 2 1 4 , 6 5 7 3 , 3 8 8 7 , 4 9 7 2 , 4 1 5 2 , 8 0 3 5 , 2 2 7 0 1 , 5 0 6 9 , 7 2 3 0 2 , 2 5 9 5 2 , 7 6 9 2 2 , 9 1 9 8 4 , 0 9 4 2 , 6 0 8 1 , 6 9 2 4 , General Table & Descriptive Analysis Report 49 49 s e i t i v i t c A g n i h s i F - i v i t c A y r t s e r o F - / s e i t i v i t c A l a r u t l u c i r g A / e c n i v o r P / : ) b ( 6 .
1 e l b a T 2 5 0 2 , 9 2 8 1 , 1 8 8 3 , 6 6 4 2 , 7 9 0 2 , 3 6 5 4 , 0 5 4 2 8 3 2 3 8 2 9 2 7 , 0 4 1 6 , 2 3 4 3 1 , 6 3 4 9 8 3 1 , 5 2 8 1 , 6 0 3 4 , 7 2 0 4 , 3 3 3 8 , 1 1 4 3 8 2 4 9 6 6 0 1 6 , 6 4 7 4 , 2 5 8 0 1 , s e i t 0 2 1 2 , 8 8 8 1 , 8 0 0 4 , 9 2 5 2 , 5 5 1 2 , 4 8 6 4 , 1 5 4 7 8 3 8 3 8 2 6 4 7 , 7 8 2 6 , 9 4 7 3 1 , 8 0 7 9 1 , 0 6 7 8 1 , 8 6 4 8 3 , 5 9 0 1 1 , 9 6 5 0 1 , 4 6 6 1 2 , 5 0 9 4 , 2 5 6 4 , 7 5 5 9 , 8 0 7 5 3 , 1 8 9 3 3 , 9 8 6 9 6 , , 1 2 0 2 , 4 0 6 5 , 3 2 9 7 2 5 6 , 3 1 0 3 , 1 0 5 4 1 5 3 , 3 7 6 1 , 5 9 1 8 6 8 1 , 0 9 2 0 1 , 9 1 6 1 , 9 0 9 1 1 , 7 6 2 2 , 0 3 8 1 , 7 9 0 4 , 5 2 7 2 , 1 2 1 2 , 6 4 8 4 , 2 7 4 8 8 3 0 6 8 4 5 9 7 , 5 4 1 6 , 9 9 0 4 1 , 6 1 7 0 2 , 8 5 9 8 1 , 4 7 6 9 3 , 9 0 8 1 1 , 7 2 7 0 1 , 6 3 5 2 2 , 3 3 2 5 , 0 8 6 4 , 3 1 9 9 , 8 5 7 7 3 , 5 6 3 4 3 , 3 2 1 2 7 , / General Table & Descriptive Analysis Report 50 s e i t i v i t c A g n i h s i F - i v i t c A y r t s e r o F - / s e i t i v i t c A l a r u t l u c i r g A / e c n i v o r P / : ) b ( 6 .
1 e l b a T 9 4 4 2 , 0 8 9 1 , 9 2 4 4 , 8 1 9 4 , 9 5 9 3 , 7 7 8 8 , 6 8 4 2 , 3 7 0 2 , 9 5 5 4 , 3 5 8 9 , 2 1 0 8 , 5 6 8 7 1 , s e i t 8 5 0 4 , 7 0 5 3 , 5 6 5 7 , 2 6 2 1 1 , 6 3 1 9 , 8 9 3 0 2 , 7 2 6 2 1 , 1 3 8 1 1 , 8 5 4 4 2 , 7 4 9 7 2 , 4 7 4 4 2 , 1 2 4 2 5 , s e i t 5 1 2 1 , 4 6 2 9 7 4 1 , 8 3 3 1 , 0 6 2 8 9 5 1 , 0 9 1 4 , 7 0 2 1 , 7 9 3 5 , 3 4 7 6 , 1 3 7 1 , 4 7 4 8 , 9 6 2 4 , 9 7 4 3 , 8 4 7 7 , 3 2 5 1 1 , 6 3 0 9 , 9 5 5 0 2 , 8 7 2 3 1 , 2 4 0 2 1 , 0 2 3 5 2 , 0 7 0 9 2 , 7 5 5 4 2 , 7 2 6 3 5 , : e c r u o S General Table & Descriptive Analysis Report 51 51 1.7 Agricultural Household Members Participation on Agricultural Tasks Table 1.7 gives agricultural activity-wise participation of household members over last twelve months from the date of agriculture census.
The 190,460 Agricultural Household members who confirmed participation on at least one agricul- tural activities had also revealed the different type of agriculture tasks (crop, livestock, forest, and fishing) they involved in for the last 12 months from the agriculture census period.

A household member, having been involved in more than one agricultural activity, may have been counted more than once.
Therefore, the sum total of members engaged in different agricultural activities may not tally with the total num- ber of members aged 10 years or older.

The Bar Charts shows the proportion of male and female participation on each agricultural tasks.
Figure: 1.7.1 % DISTRIBUTION OF HH MEMBERS PARTICIPATION ON CROPS ACTIVITIES BY SEX % DISTRIBUTION OF HH MEMBERS PARTICIPATION ON LIVESTOCK ACTIVITIES BY SEX Male Female Male Female Buying farming inputs Delivery of produce Trasnplanting annual crops Irrigation/Water Management Planting Crop Tree Seedlings Apply Fertilizer/Pesticides/etc Oversee nursery for annual crops Land Preparation (eg.
Land clearing etc) Other Crop Tasks Marketing crops Floriculture farming Weeding Planting Temporary crops/seeds Harvesting crops Gathering coconuts, Copra cuttings, Husking etc Cleaning/Washing/Drying and Peeling Processing home produce for sale Other Milking cows/goats Feeding/Shepherding cattle, goats and sheep Feeding/Managing Pigs Buying farming inputs/feeds Marketing Managing Bee Hives Delivery of livestock or products Feeding/Managing Poultry 0% 20% 40% 60% 80%1 00% 0% 20% 40% 60% 80% 100% % DISTRIBUTION OF HH MEMBERS PARTICIPATION ON FORESTRY ACTIVITIES BY SEX Male Female Planting trees (eg.
sandalwood, mahogany, etc) Tree nursery work Other Harvesting wild food (eg.
Ota, etc) Harvesting Wild Plants for Herbal Medicine Planting Voivoi Planting Masi Harvesting of Masi Selling Handicrafts, Wild Foods, etc Harvesting of Voivoi Handicraft % DISTRIBUTION OF HH MEMBERS PARTICIPATION ON FISHING ACTIVITIES BY SEX emale MaleF Selling Fish and other Fish Products Inshore Fishing Fresh Water Fishing 0% 20% 40% 60% 80% 100% 0% 20% 40% 60% 80% 100% Detail gender analysis can be seen in Volume 3 of the 2020FAC Report “Gender Analysis Report”.
General Table & Descriptive Analysis Report 52 % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% t n u o C 4 3 4 4 8 , 1 9 9 7 , 9 2 3 7 2 , 0 7 0 4 1 , l a t o T 6 4 4 6 3 4 7 8 1 , 4 7 2 8 8 1 , 1 9 6 3 8 , 3 8 1 1 4 , 7 4 6 1 8 , 6 3 9 3 2 % 0 0 0 0 1 .

7 4 9 7 8 1 , % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

6 2 2 0 2 , 1 1 3 3 8 , 6 4 1 % 0 0 0 0 1 .


1 2 3 8 8 1 , % 0 0 0 0 1 .

4 0 3 6 9 , % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

8 8 2 8 , 2 4 0 9 , 8 5 9 4 1 , 1 9 1 0 0 9 4 4 7 3 , 0 0 8 7 8 7 % 0 9 4 1 .

% 0 6 2 1 .

% 0 5 8 4 .

% 0 4 4 1 .

% 0 6 4 4 .

% 0 7 6 4 .

% 0 6 6 4 .

% 0 6 4 1 .

% 0 8 2 3 .

% 0 0 5 2 .

% 0 4 8 1 .

% 0 7 4 1 .

% 0 6 6 4 .

% 0 5 0 2 .

% 0 6 7 8 .

% 0 5 4 1 .

% 0 6 6 4 .

% 0 9 0 2 .


% % 0 6 3 1 .

% 0 1 4 2 .

% 0 3 3 1 .

% 0 7 6 2 .

% 0 7 0 1 .

% 0 8 8 1 .

% 0 2 4 1 .

% 0 6 9 .

e l a m e F t n u o C 2 4 5 2 1 , 8 0 0 1 , 6 6 2 3 1 , 4 2 0 2 , 9 9 1 1 4 4 7 8 , 3 0 8 7 8 , 0 4 2 2 1 , 1 0 5 3 1 , 2 9 9 1 1 , 8 3 6 7 8 , 0 3 8 1 7 7 1 , 1 6 0 2 1 , 4 0 8 7 8 , 9 5 1 0 2 , 9 4 4 9 0 1 0 9 1 4 0 1 1 , 1 1 4 2 , 8 9 5 1 , 6 3 8 2 1 9 5 3 % 0 1 5 8 .

% 0 4 7 8 .

% 0 5 1 5 .

% 0 6 5 8 .

% 0 4 5 5 .

% 0 3 3 5 .

% 0 4 3 5 .


% 0 4 5 8 .

% 0 2 7 6 .

% 0 0 5 7 .

% 0 6 1 8 .

% 0 3 5 8 .

% 0 4 3 5 .

% 0 5 9 7 .

% 0 4 2 1 .

% 0 5 5 8 .

% 0 4 3 5 .

% 0 1 9 7 .

% % 0 4 6 8 .

% 0 9 5 7 .

% 0 7 6 8 .

% 0 3 3 7 .

% 0 3 9 8 .

% 0 2 1 8 .

% 0 8 5 8 .

% 0 4 0 9 .


t n u o C 2 9 8 1 7 , 3 8 9 6 , 3 6 0 4 1 , 6 4 0 2 1 , / g n i y r D / g n i h s a W i / / x e S / s k s a T l a r u t l u c i r g A / : 7 .

1 e l b a T .
c t e , s e d i c i t s e P / , g n i y r D , g n i k s u H , g n i t t u C a r p o C , s t u n o c o c g n i r e h t a G 1 7 4 0 0 1 , 1 5 4 1 7 , 2 8 6 7 2 , 7 2 5 9 1 5 5 6 9 6 , 9 0 3 0 0 1 , 8 0 5 2 , 6 1 1 0 5 2 1 7 , 7 1 5 0 0 1 , t n e m e g a n a M r e t a W / / , - n r u B , g n i h s a l S , g n i r a e l c d n a L .
g .

e ( n o i t a r a p e r P d n a L ) .
c t e , g n i h g u o P l , g n i 4 8 1 7 , 1 3 6 6 , 0 6 3 3 1 , 5 5 1 2 7 7 5 8 3 3 , 1 9 6 7 9 5 p e e h s d n a s t a o g , e l t t a c g n i d r e h p e h S / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s e v i H e e B g n i g a n a M s t a o g / s w o c g n i k l i M g n i t e k r a M s d e e f / General Table & Descriptive Analysis Report 53 53 % 0 0 0 0 1 .
% t n u o C l a t o T 3 9 3 % 0 0 0 0 1 .

0 2 3 2 8 1 , % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

1 2 9 7 , 7 6 7 1 6 2 3 1 , 8 4 7 7 , % 0 0 0 0 1 .

8 1 4 3 7 1 , % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


6 4 1 1 , 4 1 2 3 , 6 2 1 5 5 9 1 2 , 6 4 2 1 , 3 2 1 4 3 2 8 1 , 3 2 4 0 4 , 2 3 1 6 , 6 6 6 6 1 , 9 7 7 8 6 4 3 2 , 3 3 0 3 , 0 4 9 6 , 9 3 5 4 , 8 2 2 8 7 4 8 4 , % 0 3 4 .

% 0 8 7 4 .

% 0 4 4 9 .

% 0 1 3 5 .

% 0 7 5 8 .

% 0 7 6 4 .

% 0 9 9 4 .

% 0 3 3 3 .

% 0 0 2 5 .

% 0 9 9 1 .

% 0 5 0 5 .

% 0 0 9 7 .

% 0 3 3 3 .

% 0 6 3 9 .

% 0 2 1 5 .

% 0 2 9 9 .

% % 0 0 0 4 .

% 0 3 1 2 .

% 0 7 8 1 .

% 0 6 1 1 .

% 0 6 1 6 .

% 0 3 5 1 .

% 0 8 1 5 .


% 0 9 6 4 .

e l a m e F t n u o C 3 6 0 7 8 , 6 7 4 7 , 7 0 4 8 6 3 1 1 , 5 1 6 3 , 3 0 5 6 8 , 7 1 2 4 6 9 5 1 4 6 0 8 0 1 1 , 4 8 9 1 4 3 6 0 7 1 , 5 1 7 0 2 , 4 8 0 6 , 5 6 6 6 , 3 8 3 4 , 3 5 3 5 7 2 4 , 6 6 1 5 9 6 8 1 1 6 5 7 2 2 , % 0 7 5 9 .

% 0 2 2 5 .

% 0 6 5 .

% 0 9 6 4 .

% 0 3 4 1 .

% 0 3 3 5 .

% 0 1 0 5 .

% 0 7 6 6 .

% 0 0 8 4 .

% 0 1 0 8 .

% 0 5 9 4 .

% 0 0 1 2 .

% 0 7 6 6 .

% 0 4 6 .

% 0 8 8 4 .

% 0 8 0 .

% % 0 0 0 6 .


% 0 7 8 7 .

% 0 3 1 8 .

% 0 4 8 8 .

% 0 4 8 3 .

% 0 7 4 8 .

% 0 2 8 4 .

% 0 1 3 5 .

8 4 d e k o m s .

g .

e ( , 6 7 3 3 9 8 1 , 3 3 1 4 , 5 1 9 6 8 , 4 8 0 5 5 3 7 5 2 , 5 7 8 0 1 , 1 7 1 1 , 8 0 7 9 1 , ) .

c t e , a t O .

g .


e ( ) .

c t e , y n a g o h a m , d o o w l a d n a s .

g .

e ( s e e r t g n i t n a l P .
c t e , s d o o F d l i W , s ft ft / d o o w e r fi / x e S / s k s a T l a r u t l u c i r g A / : 7 .
1 e l b a T General Table & Descriptive Analysis Report 54 2 2 7 5 2 , g n i y r D , g n i k s u H , g n i t t u C a r p o C , s t u n o c o C g n i r e h t a G 1 0 0 0 1 , 5 8 0 9 1 , 3 1 6 0 8 6 2 , 5 6 6 2 , 4 4 8 3 , ff O ) .

c t e h s fi g n i l e e P / g n i y r D / g n i h s a W i / .
c t e , s e d i c i t s e P / % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


t n u o C 7 3 7 8 4 , 1 9 0 3 2 , 8 9 0 5 1 , l a t o T 5 8 1 2 1 , 4 2 4 2 2 , 1 5 6 8 4 , 8 2 2 3 7 4 , 1 6 0 3 2 , 2 6 7 8 4 , 8 3 3 9 , 5 0 9 9 9 2 5 5 1 4 6 7 2 , 4 8 2 1 , 2 2 7 2 , 2 2 8 2 2 9 3 9 6 4 5 0 1 7 4 , 6 3 4 6 3 % 0 9 6 4 .

% 0 0 8 1 .

% 0 6 5 1 .

% % 0 4 7 3 .

% 0 0 0 2 .

% 0 0 0 2 .

% 0 1 8 1 .

% 0 9 6 4 .

% 0 6 8 2 .

% 0 6 7 8 .

% 0 0 8 1 .

% 0 9 6 4 .

% 0 7 4 2 .

% 0 0 9 .

% 0 7 7 .

% 0 2 4 1 .

% 0 4 9 2 .

% 0 3 1 1 .


% 0 3 7 2 .

% 0 1 0 1 .

% 0 0 0 1 .

% 0 5 6 .

% 0 2 8 4 .

% 0 8 8 8 .

% 0 3 8 5 .

e l a m e F t n u o C 4 7 8 2 2 , 9 4 1 4 , 6 5 3 2 , 8 5 5 4 , 1 8 1 2 6 0 4 , 7 1 8 2 2 , 8 7 4 1 4 , 0 4 1 4 , 7 8 8 2 2 , 9 0 3 2 , 7 2 2 1 3 9 3 8 7 3 7 0 3 6 3 2 4 9 3 7 8 6 2 2 , 7 8 3 1 2 % 0 1 3 5 .

% 0 0 2 8 .

% 0 4 4 8 .

% % 0 6 2 6 .

% 0 0 0 8 .

% 0 0 0 8 .

% 0 9 1 8 .

% 0 1 3 5 .

% 0 4 1 7 .

% 0 4 2 1 .

% 0 0 2 8 .

% 0 1 3 5 .

% 0 3 5 7 .


% 0 0 1 9 .

% 0 3 2 9 .

% 0 8 5 8 .

% 0 6 0 7 .

% 0 7 8 8 .

% 0 7 2 7 .

% 0 9 9 8 .

% 0 0 0 9 .

% 0 5 3 9 .

% 0 8 1 5 .

% 0 2 1 1 .

% 0 7 1 4 .

t n u o C 3 6 8 5 2 , 2 4 9 8 1 , 2 4 7 2 1 , e l a M 7 2 6 7 , 4 2 7 2 6 3 8 1 , 4 3 8 5 2 , 1 2 9 8 1 , 5 7 8 5 2 , 0 2 5 8 5 - n r u b , g n i h s a l s , g n i r a e l c d n a l .

g .
g .

e ( / / ) .
c t e , g n i h g u o p l , / x e S / s k s a T l a r u t l u c i r g A / : 7 .

1 e l b a T 9 2 0 7 , - n r u b , g n i h s a l s , g n i r a e l c d n a l .

g .

e ( n o i t a r a p e r P d n a L ) .
c t e , g n i h g u o p l , g n i 2 7 2 3 4 1 1 7 3 2 , 6 0 9 5 1 4 2 , 6 1 5 0 2 5 4 8 3 4 p e e h S d n a s t a o G , e l t t a C g n i d r e h p e h S / / g n i d e e F s g i P g n i g a n a M / / s w o C g n i k l i M r e h t O s d e e F / ft a r c i d n a H 8 1 4 4 2 , s e h c n a r B e e r T g n i t t u C / General Table & Descriptive Analysis Report 55 55 % 0 0 0 0 1 .
1 1 6 3 , % 0 8 8 1 .

8 7 6 % 0 2 1 8 .

3 3 9 2 , ) .

c t e , g n i h g u o p l , g n i s p o r c g n i t e k r a M % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


t n u o C l a t o T 4 6 9 1 , 2 8 9 2 , 1 8 4 6 4 , 2 7 5 2 , 0 4 5 0 2 1 4 3 3 5 1 7 , 4 6 8 4 1 , 9 4 3 9 4 4 5 2 9 1 7 2 7 7 , 7 7 8 2 , 9 7 3 1 , 2 8 3 1 1 5 6 9 3 1 , 9 3 0 4 1 , 3 2 7 7 , 4 3 0 4 1 , % 0 5 9 7 .

% 0 0 5 5 .

% 0 4 8 4 .

% 0 0 0 5 .

% 0 7 6 6 .

% 0 7 5 1 .

% 0 4 0 6 .

% 0 7 1 7 .

% 0 4 9 2 .

% 0 9 4 9 .

% 0 0 8 4 .

% 0 4 4 4 .

% % 0 1 6 2 .

% 0 2 9 2 .

% 0 5 7 .

% 0 2 5 .

% 0 8 3 2 .

% 0 4 4 .

% 0 5 5 4 .

% 0 7 3 4 .


% 0 6 3 4 .

% 0 4 7 .

% 0 6 3 4 .

e l a m e F t n u o C 1 6 5 1 , 1 4 6 1 , 1 8 4 2 2 , 7 1 6 5 8 3 5 5 1 , 6 8 0 1 8 8 7 6 , 9 3 1 7 , 4 2 4 1 6 5 6 7 5 0 2 6 8 6 0 6 5 4 0 1 6 , 5 1 1 6 , 8 6 5 9 1 1 6 , % 0 5 0 2 .

% 0 0 5 4 .

% 0 6 1 5 .

% 0 0 0 5 .

% 0 3 3 3 .

% 0 3 4 8 .

% 0 6 9 3 .

% 0 3 8 2 .

% 0 6 0 7 .

% 0 1 5 .

% 0 0 2 5 .

% 0 6 5 5 .

% % 0 9 3 7 .

% 0 8 0 7 .

% 0 5 2 9 .

% 0 8 4 9 .

% 0 2 6 7 .

% 0 6 5 9 .

% 0 5 4 5 .


% 0 3 6 5 .

% 0 4 6 5 .

% 0 6 2 9 .

% 0 4 6 5 .

1 6 8 7 , g n i y r D , g n i k s u H , g n i t t u C a r p o C , s t u n o c o C g n i r e h t a G 4 2 9 7 , 5 5 1 7 , 5 1 9 7 , - n r u b ; g n i h s a l s , g n i r a e l c d n a l .

g .

e ( / .

g .
g .

e ( , 3 0 4 0 0 0 4 2 , 9 1 0 1 , 5 5 4 5 2 7 7 , ) .

c t e , a t O .

g .

e ( ) .

c t e , y n a g o h a m , d o o w l a d n a s .

g .

e ( s e e r t g n i t n a l P .
c t e , s d o o F d l i W , s ft / x e S / s k s a T l a r u t l u c i r g A / : 7 .
1 e l b a T General Table & Descriptive Analysis Report 56 2 0 4 6 3 1 1 5 1 7 , 2 6 3 1 9 1 2 , 9 1 3 1 , ff O ) .

c t e , h s fi g n i l e e P / g n i y r D / g n i h s a W i / .
c t e , s e d i c i t s e P / % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


% t n u o C l a t o T 4 4 7 7 , 4 0 0 4 1 , 9 3 3 6 , 8 0 7 7 , 9 2 1 1 % 0 0 0 5 .

% 0 2 8 1 .

% 0 7 7 .

% 0 6 3 4 .

% 0 1 1 1 .

% 0 2 6 9 .

% 0 3 7 .

% 2 7 0 4 1 , % 0 6 3 4 .

6 3 7 1 , 7 1 9 0 0 3 5 3 3 9 3 5 3 2 1 7 1 5 3 1 , 8 7 2 6 , 7 4 2 7 6 7 6 , 5 8 2 2 1 2 6 , 5 1 7 1 4 % 0 9 5 .

0 % 0 6 2 1 .

% 0 3 8 1 .

% 0 2 7 .

% 0 1 1 1 .

% 0 0 7 1 .

% 0 4 2 .

% 0 5 5 4 .

% 0 6 7 9 .

% 0 8 1 5 .

% 0 7 1 9 .

% 0 8 9 6 .

% 0 6 7 9 .

% 0 0 0 4 .


% 0 5 7 4 .

e l a m e F t n u o C 9 0 1 6 , 0 0 6 1 8 9 0 6 , 1 3 1 6 , 4 6 5 1 2 1 - 9 1 2 5 5 4 2 1 9 3 9 4 1 6 , 9 2 1 6 , 8 2 1 4 0 2 6 , 4 6 0 6 , 9 9 1 8 9 1 6 % 0 0 0 5 .

% 0 8 1 8 .

% 0 3 2 9 .

% 0 4 6 5 .

% 0 9 8 8 .

% 0 8 3 .

% 0 7 2 9 .

% 0 4 6 5 .

% 0 1 4 9 .

% % 0 0 0 0 1 .

% 0 4 7 8 .

% 0 7 1 8 .

% 0 8 2 9 .

% 0 9 8 8 .

% 0 0 3 8 .

% 0 6 7 9 .

% 0 5 4 5 .

% 0 4 2 .

% 0 2 8 4 .

% 0 3 8 .

% 0 2 0 3 .

% 0 4 2 .

% 0 0 0 6 .


% 0 5 2 5 .
t n u o C e l a M 4 4 1 7 , 5 9 8 7 , 1 4 2 8 4 4 1 7 , 1 4 9 7 , 7 1 5 1 , 6 1 9 5 4 2 1 1 3 8 4 4 8 6 3 7 , , e l t t a C g n i d r e h p e h S / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s e v i H e e B g n i g a n a M s t a o G / ) .
c t e , a t o .

g .
e ( ft a r c i d n a H s e h c n a r B e e r T g n i t t u C / / / / x e S / s k s a T l a r u t l u c i r g A / : 7 .
General Table & Descriptive Analysis Report 57 57 % 0 0 0 0 1 .

8 4 4 % 0 0 5 1 .

7 6 % 0 0 5 8 .


% t n u o C l a t o T % e l a m e F t n u o C % / x e S / s k s a T l a r u t l u c i r g A / : 7 .

1 e l b a T 1 7 3 3 1 , % 0 1 6 4 .

5 6 1 6 , % 0 9 3 5 .

6 0 2 7 , % 0 0 0 0 1 .

% 0 0 0 0 1 .


% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


1 3 1 2 7 7 4 8 , 7 5 0 6 , 4 5 2 3 1 , 4 9 1 3 1 2 7 2 , 9 1 0 3 , 5 0 2 0 1 , 9 6 8 3 , 2 9 6 2 3 3 5 , 4 6 4 3 5 , 2 2 9 6 2 , 3 6 0 9 2 , 3 3 6 4 1 , 7 0 0 7 2 , 2 0 4 3 5 , 0 1 7 0 1 % 0 9 1 4 .

% 0 6 7 4 .

% 0 3 2 7 .

% 0 0 0 0 1 .

% 0 8 5 4 .

% 0 2 4 2 .

% 0 2 6 1 .

% 0 0 3 1 .

% 0 2 6 4 .

% 0 2 2 1 .

% 0 2 0 4 .

% 0 8 5 4 .

% 0 8 5 4 .

% 0 0 6 1 .

% 0 8 8 1 .

% 0 7 1 3 .

% 0 0 0 1 .

% 0 8 7 1 .

% 0 5 6 1 .

% 0 8 5 4 .


3 1 0 1 3 3 1 6 , 4 5 0 6 , 6 6 0 6 , 7 4 1 0 4 4 , 0 1 7 4 , 2 9 3 1 7 4 7 3 0 0 4 4 2 , 3 8 4 4 2 , 8 9 2 4 , 4 5 4 5 , 2 3 6 4 , 1 9 1 5 6 4 4 , 9 4 4 4 2 , % 0 1 8 5 .

% 0 4 2 5 .

% 0 7 7 2 .

% 0 0 0 .

% 0 2 4 5 .

% 0 8 5 7 .

% 0 8 3 8 .

% 0 0 7 8 .

% 0 8 3 5 .

% 0 8 7 8 .

% 0 8 9 5 .

% 0 2 4 5 .

% 0 2 4 5 .

% 0 0 4 8 .

% 0 2 1 8 .

% 0 3 8 6 .

% 0 0 0 9 .

% 0 2 2 8 .

% 0 5 3 8 .

% 0 2 4 5 .

6 4 5 % 0 3 8 8 .

2 8 4 % 0 7 1 1 .


4 6 8 1 1 1 4 4 3 2 , .

c t e , s d o o F d l i W , s ft a r c i d n a H g n i l l e S ) .

c t e , y n a g o h a m , d o o w l a d n a s .

g .
g .

e ( , g n i y r D , g n i k s u H , g n i t t u C a r p o C , s t u n o c o C g n i r e h t a G 1 8 9 8 2 , 4 2 6 2 2 , 9 0 6 3 2 , 1 0 0 0 1 , 2 4 5 2 2 , 3 5 9 8 2 , 9 8 8 - n r u b , g n i h s a l s , g n i r a e l c d n a l .

g .
g .

e ( / / ) .

c t e , g n i h g u o p l , .

g .
g .

e ( , 7 4 1 2 1 8 2 2 , 7 2 6 2 , 5 9 4 5 , 8 9 3 3 , ff O ) .

c t e , h s fi g n i l e e P / g n i y r D / g n i h s a W i / .
c t e , s e d i c i t s e P / General Table & Descriptive Analysis Report 58 % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


% t n u o C l a t o T 2 8 5 5 , 0 9 9 6 2 , 2 9 4 3 5 , 2 8 4 1 3 6 2 1 6 8 7 1 , 7 8 2 4 , 0 0 5 4 , 1 9 9 9 2 0 6 0 1 , 4 5 8 3 1 2 5 , 4 9 7 3 0 2 9 7 2 3 , 1 6 7 3 , 9 0 4 1 5 , 8 2 1 0 3 3 5 7 1 , 4 3 7 4 , 7 0 3 5 4 9 1 3 7 , 5 0 5 2 1 , % 0 0 2 2 .

% 0 4 8 7 .

% 0 1 6 1 .

% 0 8 5 4 .

% 0 2 8 1 .

% 0 0 9 1 .

% 0 2 5 1 .

% 0 3 7 2 .

% 0 7 4 1 .

% 0 7 8 1 .

% 0 1 0 2 .

% 0 6 4 1 .


% 0 7 3 .

% 0 6 6 4 .

% 0 7 0 8 .

% 0 8 0 8 .

% 0 8 1 8 .

% 0 0 0 4 .

% 0 9 6 4 .

% 0 7 5 3 .

% 0 1 1 6 .

% 0 5 4 2 .

% 0 0 6 5 .

% 0 5 2 6 .

% 0 3 3 3 .

% 0 8 5 9 .

% 0 4 4 4 .

% e l a m e F t n u o C 7 7 3 4 , 8 4 3 4 , 8 1 7 8 4 4 2 , 1 7 1 1 , 1 7 2 1 6 6 7 5 4 2 7 1 0 6 5 5 1 2 2 2 3 4 2 , 1 4 6 4 6 1 3 8 6 2 , 3 0 5 1 , 7 2 1 4 2 , 0 1 4 8 1 0 3 4 9 4 6 2 , 2 9 1 5 1 0 1 0 7 , 2 5 5 5 , % 0 0 8 7 .

% 0 6 1 2 .

% 0 9 3 8 .


% 0 2 4 5 .

% 0 8 1 8 .

% 0 0 1 8 .

% 0 8 4 8 .

% 0 7 2 7 .

% 0 3 5 8 .

% 0 3 1 8 .

% 0 9 9 7 .

% 0 4 5 8 .

% 0 3 6 9 .

% 0 4 3 5 .

% 0 3 9 1 .

% 0 2 9 1 .

% 0 2 8 1 .

% 0 0 0 6 .

% 0 1 3 5 .

% 0 3 4 6 .

% 0 9 8 3 .

% 0 5 5 7 .

% 0 0 4 4 .

% 0 5 7 3 .

% 0 7 6 6 .

% 0 2 4 .

% 0 6 5 5 .
% t n u o C e l a M 5 0 2 1 , 2 4 6 2 2 , 5 0 0 9 2 , 4 6 7 5 2 2 0 1 5 1 5 1 , 6 1 1 3 , 9 3 8 3 , 4 7 9 3 2 5 0 9 2 5 p e e h S d n a s t a o G , e l t t a C g n i d r e h p e h S / / g n i d e e F s g i P g n i g a n a M / / s w o C g n i k l i M r e h t O n o i s i v i D / x e S / s k s a T l a r u t l u c i r g A / : 7 .
/ , s e h c n a r B e e r T g n i t t u C / , 2 8 2 7 2 , 8 1 7 1 1 3 2 3 1 , 5 8 0 2 , 5 1 1 0 3 9 0 3 3 5 9 6 , ) .
c t e , a t o .

g .

e ( ) .

c t e , y n a g o h a m , d o o w l a d n a s .

g .

e ( s e e r T g n i t n a l P .


c t e , s d o o F d l i W , s ft ft General Table & Descriptive Analysis Report 59 59 % 0 0 0 0 1 .

3 4 % 0 9 4 3 .

5 1 % 0 1 5 6 .

8 2 d e k o m s .

g .


e ( % t n u o C l a t o T % e l a m e F t n u o C % / x e S / s k s a T l a r u t l u c i r g A / : 7 .

1 e l b a T % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


0 7 0 2 , 6 7 2 6 2 0 6 2 , 7 5 5 1 , 7 0 3 7 , 3 8 2 4 , 5 1 1 7 6 6 1 7 , 4 3 0 2 7 , 5 5 9 5 2 , 1 7 7 8 2 , 4 5 7 0 1 , 9 1 1 3 2 7 4 4 2 , 0 9 8 1 7 , 3 7 5 3 , 2 5 5 5 2 , 5 9 9 1 7 , 7 2 0 7 1 7 9 4 2 0 0 2 , 1 7 1 3 , % 0 4 8 1 .

% 0 6 5 1 .

% 0 2 2 1 .

% 0 6 5 1 .

% 0 2 9 4 .

% 0 6 8 1 .

% 0 9 3 3 .

% 0 7 7 4 .

% 0 7 7 4 .

% 0 4 2 1 .

% 0 6 3 1 .

% 0 8 3 3 .

% 0 6 1 3 .

% 0 1 6 1 .

% 0 7 1 1 .

% 0 7 7 4 .

% 0 1 1 1 .

% 0 6 6 8 .


% 0 8 1 1 .

% 0 6 7 4 .

% 0 1 4 1 .

% 0 0 1 3 .

% 0 0 1 1 .

% 0 4 5 2 .

1 8 3 3 4 2 8 1 3 , 3 4 2 5 9 5 3 , 8 9 7 9 3 1 8 1 4 3 , 1 3 3 4 3 , 5 2 2 3 , 1 2 9 3 , 3 3 6 3 , 6 5 5 6 8 2 , 3 6 2 4 3 , 6 9 0 3 , 9 0 0 3 , 9 9 2 4 3 , 3 4 2 4 5 1 1 2 2 7 0 8 % 0 6 1 8 .

% 0 4 4 8 .

% 0 8 7 8 .

% 0 4 4 8 .

% 0 8 0 5 .

% 0 4 1 8 .

% 0 1 6 6 .

% 0 3 2 5 .

% 0 3 2 5 .

% 0 6 7 8 .

% 0 4 6 8 .

% 0 2 6 6 .

% 0 4 8 6 .

% 0 9 3 8 .

% 0 3 8 8 .


% 0 3 2 5 .

% 0 9 8 8 .

% 0 4 3 1 .

% 0 2 8 8 .

% 0 4 2 5 .

% 0 9 5 8 .

% 0 0 9 6 .

% 0 0 9 8 .

% 0 6 4 7 .

6 8 4 7 3 , g n i y r D , g n i k s u H , g n i t t u C a r p o C , s t u n o c o C g n i r e h t a G 3 0 7 7 3 , 0 3 7 2 2 , t n e m e g a n a M r e t a W / , - n r u B , g n i h s a l S , g n i r a e l c d n a L .

g .
g .

e ( n o i t a r a p e r P d n a L 1 2 1 7 , 3 1 6 2 7 0 6 1 2 , 7 2 6 7 3 , 4 2 7 7 4 3 4 5 2 2 , 6 9 6 7 3 , 6 4 1 3 4 3 1 8 7 1 , 4 6 3 2 , / ) .
c t e , g n i h g u o P l , / g n i d e e F s g i P g n i g a n a M / g n i d e e F s d e e F / , 3 3 2 4 4 8 2 2 , 4 1 3 1 , 2 1 7 3 , 5 8 4 3 , ff O ) .
c t e , h s fi g n i l e e P / g n i y r D / g n i h s a W i / .

c t e , s e d i c i t s e P / General Table & Descriptive Analysis Report 60 % 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .

% 0 0 0 0 1 .


% % 0 0 0 0 1 .

% 0 0 0 0 1 .

t n u o C 1 0 4 7 , l a t o T 2 2 6 1 , 3 9 2 0 6 5 9 6 , 1 5 2 1 , 0 2 7 6 1 3 9 6 , 3 1 4 1 8 2 9 6 0 2 3 9 4 9 1 4 3 7 4 8 7 2 1 , 3 7 2 3 1 1 4 7 3 , 7 7 5 4 , 3 2 % 0 2 8 .

% 0 4 7 1 .

% 0 3 1 1 .

% 0 6 6 .

% 0 1 4 .

% 0 7 8 4 .

% 0 2 7 7 .

% 0 5 3 3 .

% 0 5 3 7 .

% 0 8 7 3 .

% 0 8 8 4 .

% 0 4 8 1 .

% 0 6 9 4 .


% 0 5 2 1 .

% 0 8 5 5 .

% 0 1 2 8 .

% 0 1 3 2 .

% 0 0 7 8 .

% 0 3 1 4 .

% 0 8 7 4 .

% 8 9 7 7 1 1 % 0 5 9 .

% 0 1 7 1 .

e l a m e F t n u o C 6 0 6 2 1 6 3 7 0 1 2 1 5 0 9 3 3 , 9 1 3 4 9 0 2 9 2 7 2 1 3 8 3 3 , 8 0 2 9 5 3 1 7 4 2 2 9 3 5 5 2 3 , 1 9 8 1 , 1 1 6 7 0 2 % 0 8 1 9 .

% 0 6 2 8 .

% 0 8 8 8 .

% 0 4 3 9 .

% 0 9 5 9 .

% 0 3 1 5 .

% 0 8 2 2 .

% 0 5 6 6 .

% 0 5 6 2 .

% 0 2 2 6 .

% 0 2 1 5 .

% 0 6 1 8 .

% 0 4 0 5 .

% 0 5 7 8 .


% 0 2 4 4 .

% 0 9 7 1 .

% 0 9 6 7 .

% 0 0 3 1 .

% 0 7 8 5 .

% 0 2 2 5 .

% % 0 5 0 9 .

% 0 9 2 8 .

5 8 4 5 3 , , e l a M 5 1 5 1 , 1 8 2 5 5 6 5 3 , / s w o C g n i k l i M r e h t O ) .

c t e , a t o .

g .
e ( ft a r c i d n a H s e h c n a r B e e r T g n i t t u C / , e l t t a C g n i d r e h p e h S / / x e S / s k s a T l a r u t l u c i r g A / : 7 .
1 e l b a T 0 4 1 1 2 4 1 4 5 6 5 9 4 0 1 6 8 6 2 , 6 8 4 ) .

c t e , y n a g o h a m , d o o w l a d n a s .

g .

e ( s e e r t g n i t n a l P .

c t e , s d o o F d l i W , s ft ff O ) .
c t e .

h s fi 2 1 d e k o m s .

g .

e ( ff ( e v o b a s a e m a s e h t s i s i Th d e t e l e d e b l l i .
W d e t o N General Table & Descriptive Analysis Report 61 61 General Table & Descriptive Analysis Report 62 s e i r e h s i F f o y r t s i n i M : e c r u o S ii) Farmers Particulars Tables highlighted in Part ii of this chapter represent farmers particulars of agricultural household members who are 10 years old and above.
It recorded 83,395 agricultural household members who identify farming crops and raising livestock as their main economic activity and recognized themselves as a farmer of which 85.6% (71,424) of them are males and 14.4% (11,971) are females.

(See Table ii for further distribution detail) Northern Division had the highest with 32.3% farmers, Western Division with 30.8%, Central and Eastern Division with 27.7% and 9.2% respectively.
Out of the total 11,971 female farmers, Central Division had the highest proportion with 17.9%, Northern Division with 15.8%, Western Division with 11.8% and Eastern Division with 7.3%.
Table ii: Percentage Distribution of Farmers/ Division/Sex Division Sex Total Male Number 18,939 7,142 22,694 22,649 71,424 Female Number 4,123 563 3,023 4,262 11,971 % 82.1 92.7 88.2 84.2 85.6 % 17.9 7.3 11.8 15.8 14.4 Number 23,062 7,705 25,717 26,911 83,395 % 100.0 100.0 100.0 100.0 100.0 Central Eastern Western Northern Fiji 1.8 Primary and Secondary Occupation as a Farmer (Crop & Livestock) Table 1.8 (a) presents distribution of farmers by their Primary / Secondary occupation.
It may be seen from the table, that out of a total of 53,926 farmers who have reported farming as their primary occupation, only about 7% (3,766) of them are females.

However, among members reporting farming as their secondary occupation, female participation is fairly better at about 27.8% (8,205).
Table 1.8 (a): Number of Farmers by Primary and Secondary Occupation/Division/Sex Division Primary Occupation Secondary Occupation Male Female Total Male Female Total Central Eastern Western Northern Fiji Count 12,611 6,121 14,175 17,253 50,160 % Count % Count % Count % 31.5% 20.9% 9,237 1,291 18.9% 10,498 36.1% 8,443 27.8% 29,469 General Table & Descriptive Analysis Report 63 63 Table 1.8 (b): Number of Farmers by Primary and Secondary Occupation/Division/Province/Sex Division Province Primary Occupation Secondary Occupation Total Number of Farmer Male Female Total Male Female Total Male Female Total Fiji Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Western Ba Nadroga/ Navosa Ra Total Northern Bua Cakaudrove Macuata Total Farmers Age and Sex Distribution Out of a total of 83,395 farmers, 85.65% (71,424) are males and only 14.35% (11,971) are females.
The pyramid graph shows the modal age of the farmers comes out to be x>29yrs≤39yrs (30 – 39 years) having 22.35% of the total farmers, though a little over 15% (12,853) of the farmers are of age x>59yrs(60 years or more).

There are 43% (35,388) of farmers at the age of x≥10yrs ≤39yrs(10 to 39 years) while 57% (47,807) at the age of 40 and above.

This signifies the aging farmer’s population in the crop and livestock industry.
Figure 1.9.1 Age-sex structure of Farmers Population in Fiji 2020 General Table & Descriptive Analysis Report 64 % share Count % share Count % share Count % share Count % share Count % share Count % share Count .

% 0 0 0 1 4 2 4 1 7 , .

% 0 0 0 1 1 7 9 1 1 , .

% 0 0 0 1 5 9 3 3 8 , .

% 0 0 0 1 7 9 3 5 , .

% 0 0 0 1 6 6 5 1 , .

% 0 0 0 1 3 6 9 6 , .

% 0 0 0 1 5 6 4 1 , .

% 0 0 0 1 4 1 5 .

% 0 0 0 1 9 7 9 1 , .

% 0 0 0 1 1 2 8 2 , .

% 0 0 0 1 1 6 5 .

% 0 0 0 1 2 8 3 3 , .

% 0 0 0 1 7 4 8 1 , .


% 0 0 0 1 0 5 4 .

% 0 0 0 1 7 9 2 2 , .

% 0 0 0 1 9 0 4 7 , .

% 0 0 0 1 2 3 0 1 , .

% 0 0 0 1 1 4 4 8 , .

% 0 0 0 1 9 3 9 8 1 , .

% 0 0 0 1 3 2 1 4 , .

% 0 0 0 1 2 6 0 3 2 , % 3 5 1 .

% 2 6 1 .

% 4 5 1 .

% 4 6 1 .

% 6 2 1 .

% 6 5 1 .

% 5 4 1 .

% 6 8 .

% 0 3 1 .

% 2 7 1 .

% 6 7 1 .

% 2 7 1 .

% 8 5 1 .

% 6 3 1 .

% 3 5 1 .

% 0 7 1 .

% 5 8 1 .

% 2 7 1 .

% 5 6 1 .

% 4 4 1 .

% 2 6 1 .

8 1 9 0 1 , % 4 0 2 .

4 0 6 4 1 , 5 3 9 1 , % 0 2 2 .


5 3 6 2 , 3 5 8 2 1 , % 7 0 2 .

9 3 2 7 1 , 7 8 8 7 9 1 4 8 0 1 , , 9 4 4 1 , 3 3 1 3 , 2 9 5 5 2 7 3 , % 5 8 1 .

% 4 0 2 .

% 9 8 1 .

% 4 8 1 .

% 8 0 2 .

% 0 9 1 .

% 0 9 1 .

% 0 0 2 .

% 1 9 1 .

% 2 1 2 .

% 3 5 2 .

% 0 2 2 .

% 0 0 2 .

% 3 1 2 .

% 2 0 2 .

% 4 9 1 .

% 2 1 2 .

% 7 9 1 .


9 9 9 0 2 3 9 1 3 1 , , 5 0 7 1 , 9 7 6 3 , 3 7 8 2 5 5 4 , % 1 1 2 .

% 9 1 2 .

% 2 1 2 .

% 0 0 2 .

% 9 0 2 .

% 2 0 2 .

% 6 9 1 .

% 3 4 2 .

% 8 0 2 .

% 4 0 2 .

% 3 0 2 .

% 4 0 2 .

% 9 1 2 .

% 2 2 2 .

% 0 2 2 .

% 7 0 2 .

% 8 2 2 .

% 0 1 2 .

% 5 0 2 .

% 9 1 2 .

% 8 0 2 .


8 9 0 5 1 , 7 1 6 2 , 5 1 7 7 1 , 2 8 0 1 , 8 2 3 0 1 4 1 , , 2 7 7 1 , 7 8 8 3 , 2 0 9 9 8 7 4 , % 4 2 2 .

% 3 2 2 .

% 4 2 2 .

% 4 3 2 .

% 5 4 2 .

% 6 3 2 .

% 0 4 2 .

% 3 5 2 .

% 3 4 2 .

% 5 0 2 .

% 4 1 2 .

% 6 0 2 .

% 5 2 2 .

% 4 4 2 .

% 9 2 2 .

% 0 2 2 .

% 5 2 2 .

% 1 2 2 .

% 4 2 2 .

% 7 3 2 .

% 6 2 2 .

4 7 9 5 1 , % 7 7 1 .

7 1 6 2 1 , 5 6 6 2 , % 9 5 1 .


8 9 8 1 , 9 3 6 8 1 , % 4 7 1 .

5 1 5 4 1 , 1 6 2 1 , 4 8 3 5 4 6 1 , , 5 6 8 1 , 9 3 2 4 , 6 7 9 5 1 2 5 , % 7 8 1 .

% 8 9 1 .

% 9 8 1 .

% 5 0 2 .

% 7 8 1 .

% 0 0 2 .

% 5 8 1 .

% 8 6 1 .

% 2 8 1 .

% 9 5 1 .

% 3 3 1 .

% 4 5 1 .

% 2 7 1 .

% 4 3 1 .

% 7 6 1 .

% 9 7 1 .

% 9 6 1 .

% 8 7 1 .


9 0 0 1 , 0 1 3 9 1 3 1 , , 1 1 4 1 , 9 9 3 3 , 8 9 6 7 9 0 4 , % 1 3 .

% 8 1 .

% 9 2 .

% 9 2 .

% 7 1 .

% 7 2 .

% 1 3 .

% 3 2 .

% 9 2 .

% 4 4 .

% 9 3 .

% 3 4 .

% 7 2 .

% 1 1 .

% 4 2 .

% 0 3 .

% 6 1 .

% 8 2 .

% 2 3 .

% 0 2 .

% 0 3 .
3 1 2 2 , 1 2 2 4 3 4 2 , > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x x e S e c n i v o r P n o i s i v i D e c n i v o r P / n o i s i v i D / : 9 .
1 e l b a T General Table & Descriptive Analysis Report 65 65 % share Count % share Count % share Count % share Count % share Count % share Count % share Count .

% 0 0 0 1 0 3 3 2 , % 7 3 1 .

0 2 3 .

% 0 0 0 1 5 9 .

% 0 0 0 1 5 2 4 2 , .

% 0 0 0 1 1 3 0 2 , .

% 0 0 0 1 3 1 1 .

% 0 0 0 1 4 4 1 2 , .

% 0 0 0 1 7 8 3 2 , .

% 0 0 0 1 6 0 3 .

% 0 0 0 1 3 9 6 2 , .

% 0 0 0 1 4 9 3 .

% 0 0 0 1 9 4 .

% 0 0 0 1 3 4 4 .

% 0 0 0 1 2 4 1 7 , .

% 0 0 0 1 3 6 5 .

% 0 0 0 1 5 0 7 7 , % 4 8 .

% 5 3 1 .


% 7 8 1 .

% 9 5 1 .

% 6 8 1 .

% 1 6 1 .

% 0 6 1 .

% 1 6 1 .

% 1 0 2 .

% 4 2 2 .

% 3 0 2 .

% 3 6 1 .

% 3 5 1 .

% 2 6 1 .

 , 6 8 0 5 2 1 , % 9 7 1 .

% 0 0 2 .

% 0 8 1 .

% 7 1 2 .

% 2 1 2 .

% 7 1 2 .

% 9 9 1 .

% 6 1 2 .

% 1 0 2 .

% 9 4 2 .

% 4 8 1 .

% 2 4 2 .

% 0 0 2 .

% 0 1 2 .

% 1 0 2 .

 , 8 1 1 8 4 5 1 , % 2 8 1 .
% 9 7 1 .

% 2 8 1 .

% 4 9 1 .

% 7 7 1 .

% 3 9 1 .

% 6 9 1 .

% 3 0 2 .

% 6 9 1 .

% 4 3 2 .

% 5 4 2 .

% 5 3 2 .

% 3 9 1 .

% 7 9 1 .

% 3 9 1 .

 , 1 1 1 8 8 4 1 , % 2 4 2 .

% 1 2 2 .

% 1 4 2 .

% 3 1 2 .

% 5 9 1 .

% 2 1 2 .

% 9 1 2 .

% 8 8 2 .

% 7 2 2 .

% 5 7 1 .

% 4 2 2 .

% 1 8 1 .

% 2 2 2 .

% 2 5 2 .

% 5 2 2 .

 , 2 4 1 0 3 7 1 , % 1 2 2 .
% 4 7 2 .

% 3 2 2 .

% 5 4 1 .

% 0 3 2 .

% 9 4 1 .

% 9 8 1 .

% 8 1 1 .

% 1 8 1 .

% 2 2 1 .

% 2 2 1 .

% 2 2 1 .

% 3 8 1 .

% 7 6 1 .

% 2 8 1 .

 , 4 9 2 0 4 1 , % 9 3 .

% 2 4 .

% 9 3 .

% 4 4 .

% 7 2 .

% 3 4 .

% 6 3 .

% 6 1 .

% 4 3 .

% 0 2 .

% 0 0 .

% 8 1 .

% 9 3 .

% 1 2 .

% 7 3 .
1 9 4 5 9 0 9 3 3 9 6 8 5 1 9 8 - > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x x e S e c n i v o r P n o i s i v i D e c n i v o r P / n o i s i v i D / : 9 .
1 e l b a T General Table & Descriptive Analysis Report 66 % share Count % share Count % share Count % share Count % share Count % share Count % share Count .

% 0 0 0 1 9 2 5 1 1 , .

% 0 0 0 1 2 8 6 1 , .

% 0 0 0 1 1 1 2 3 1 , .

% 0 0 0 1 7 1 7 .

% 0 0 0 1 9 9 0 7 , .

% 0 0 0 1 6 1 8 7 , .

% 0 0 0 1 6 6 0 4 , .

% 0 0 0 1 4 2 6 .

% 0 0 0 1 0 9 6 4 , .

% 0 0 0 1 4 9 6 2 2 , .

% 0 0 0 1 3 2 0 3 , .

% 0 0 0 1 7 1 7 5 2 , .

% 0 0 0 1 1 2 8 3 , .

% 0 0 0 1 1 7 6 .

% 0 0 0 1 2 9 4 4 , .


% 0 0 0 1 5 3 0 0 1 , .

% 0 0 0 1 9 7 3 1 , .

% 0 0 0 1 4 1 4 1 1 , .

% 0 0 0 1 3 9 7 8 , .

% 0 0 0 1 2 1 2 2 , .

% 0 0 0 1 5 0 0 1 1 , .

% 0 0 0 1 9 4 6 2 2 , .

% 0 0 0 1 2 6 2 4 , .

% 0 0 0 1 1 1 9 6 2 , % 7 6 1 .

% 2 0 2 .

% 2 7 1 .

% 1 6 1 .

% 1 6 2 .

% 0 7 1 .

% 0 6 1 .

% 9 9 1 .

% 5 6 1 .

% 4 6 1 .

% 5 1 2 .

% 0 7 1 .

% 4 2 1 .

% 2 2 1 .

% 4 2 1 .

% 8 1 1 .

% 4 2 1 .

% 8 1 1 .

% 1 4 1 .

% 0 6 1 .

% 5 4 1 .

% 8 2 1 .

% 2 4 1 .


% 0 3 1 .

9 3 3 8 2 9 1 , 7 6 2 2 , 5 4 1 1 , 7 8 1 2 3 3 1 , 0 5 6 4 2 1 4 7 7 3 2 7 3 , 0 5 6 3 7 3 4 , 3 7 4 2 8 5 5 5 1 8 1 1 , 1 7 1 2 5 3 1 , 4 4 2 1 , 4 5 3 8 9 5 1 , 8 9 8 2 , 7 0 6 5 0 5 3 , % 7 3 2 .

% 7 5 2 .

% 9 3 2 .

% 5 2 2 .

% 9 6 2 .

% 9 2 2 .

% 2 9 1 .

% 1 2 2 .

% 6 9 1 .

% 5 2 2 .

% 3 5 2 .

% 8 2 2 .

% 1 7 1 .

% 9 7 1 .

% 2 7 1 .

% 7 6 1 .

% 7 5 1 .

% 5 6 1 .

% 5 3 2 .

% 6 4 2 .

% 7 3 2 .

% 4 9 1 .

% 6 0 2 .

% 6 9 1 .


3 3 4 7 2 7 2 , 0 6 1 3 , 6 9 5 1 , 3 9 1 9 8 7 1 , 1 8 7 8 3 1 9 1 9 4 0 1 5 , 4 6 7 8 6 8 5 , 2 5 6 0 2 1 2 7 7 2 7 6 1 , 6 1 2 8 8 8 1 , 7 6 0 2 , 4 4 5 1 1 6 2 , 1 9 3 4 , 0 8 8 1 7 2 5 , % 9 1 2 .

% 0 1 2 .

% 8 1 2 .

% 8 2 2 .

% 0 9 1 .

% 5 2 2 .

% 6 0 2 .

% 6 8 1 .

% 4 0 2 .

% 0 2 2 .

% 0 0 2 .

% 7 1 2 .

% 7 9 1 .

% 5 2 2 .

% 1 0 2 .

% 1 0 2 .

% 5 1 2 .

% 2 0 2 .

% 7 3 2 .

% 9 4 2 .

% 9 3 2 .

% 4 1 2 .

% 4 3 2 .

% 7 1 2 .


4 5 3 6 2 5 2 , 0 8 8 2 , 9 1 6 1 , 6 3 1 5 5 7 1 , 9 3 8 6 1 1 5 5 9 4 8 9 4 , 6 0 6 0 9 5 5 , 4 5 7 1 5 1 5 0 9 4 1 0 2 , 6 9 2 0 1 3 2 , 2 8 0 2 , 1 5 5 3 3 6 2 , 0 5 8 4 , 8 9 9 8 4 8 5 , % 8 2 2 .

% 4 0 2 .

% 5 2 2 .

% 9 1 2 .

% 6 7 1 .

% 5 1 2 .

% 1 3 2 .

% 2 3 2 .

% 1 3 2 .

% 6 2 2 .

% 3 0 2 .

% 3 2 2 .

% 5 3 2 .

% 0 3 2 .

% 4 3 2 .

% 1 3 2 .

% 3 6 2 .

% 5 3 2 .

% 5 0 2 .

% 8 8 1 .

% 2 0 2 .

% 2 2 2 .

% 9 1 2 .

% 1 2 2 .


3 4 3 7 2 6 2 , 0 7 9 2 , 6 5 5 1 , 6 2 1 2 8 6 1 , 9 3 9 5 4 1 4 8 0 1 , 2 2 1 5 , 4 1 6 6 3 7 5 , 9 9 8 4 5 1 3 5 0 1 , 2 2 3 2 , 3 6 3 5 8 6 2 , 4 0 8 1 , 6 1 4 0 2 2 2 , 5 2 0 5 , 3 3 9 8 5 9 5 , % 1 3 1 .

% 5 1 1 .

% 9 2 1 .

% 8 4 1 .

% 2 9 .

% 3 4 1 .

% 8 7 1 .

% 9 4 1 .

% 4 7 1 .

% 5 4 1 .

% 7 1 1 .

% 2 4 1 .

% 6 2 2 .

% 6 1 2 .

% 4 2 2 .

% 1 4 2 .

% 8 1 2 .

% 8 3 2 .

% 3 5 1 .

% 9 3 1 .

% 0 5 1 .

% 4 0 2 .

% 7 7 1 .

% 0 0 2 .


4 1 5 1 , 4 9 1 8 0 7 1 , 8 4 0 1 , 6 6 4 1 1 1 , 5 2 7 3 9 8 1 8 7 8 2 3 , 3 5 3 0 4 6 3 , 3 6 8 5 4 1 8 0 0 1 , 9 1 4 2 , 0 0 3 9 1 7 2 , 1 4 3 1 , 8 0 3 9 4 6 1 , 3 2 6 4 , 3 5 7 6 7 3 5 , % 8 1 .

% 1 1 .

% 7 1 .

% 9 1 .

% 3 1 .

% 8 1 .

% 2 3 .

% 3 1 .

% 0 3 .

% 1 2 .

% 2 1 .

% 0 2 .

% 7 4 .

% 8 2 .

% 4 4 .

% 3 4 .

% 4 2 .

% 0 4 .

% 9 2 .

% 8 1 .

% 7 2 .

% 8 3 .

% 1 2 .

% 5 3 .
/ > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x x e S e c n i v o r P n o i s i v i D e c n i v o r P / n o i s i v i D / : 9 .
1 e l b a T General Table & Descriptive Analysis Report 67 67 1.10 Farmers Highest Educational Attainment and Currently Studying by Sex Figure 1.10.1 gives the distribution of highest educational attainment of farmers.

It can be seen that the highest pro- portion i.e.

54% (45,114) of farmers have completed Year 9 – 10.

It is worth noticing that among these 45,114 farmers, 85.48% (38,565) are males and only 14.52% (6,549) are females.
A good proportion of 6.89% of farmers have completed Tertiary education and only less than 1% are currently studying.

Figure 1.10.1 shows the percentage distribution of male and female farmers by highest educational attainment and also for those that are currently studying.
Figure 1.10.1 Percentage distribution of farmers by highest education attained/currently studying in Fiji Vocational 1.0% Year 1-4 1.0% Currently Studying 1.0% Pre-School 0.02% Year 5-6 2.0% Year 13 4.0% Tertiary 7.0% Year 7-8 9.0% Year 11-12 21.0% Year 9-10 54.0% General Table & Descriptive Analysis Report 68 4 2 4 1 7 , 1 7 9 1 1 , 5 9 3 3 8 , 3 3 5 2 0 1 5 3 6 6 1 0 5 , 4 3 7 0 5 7 5 , 0 2 1 1 , 2 7 2 9 1 1 , ) E F S F ( 3 6 4 2 , 0 6 4 3 2 9 2 , 7 9 3 5 , 6 6 5 1 , 3 6 9 6 , 5 6 4 1 , 4 1 5 9 7 9 1 , 1 2 8 2 , 1 6 5 2 8 3 3 , 7 4 8 1 , 0 5 4 7 9 2 2 , 9 0 4 7 , 2 3 0 1 , 1 4 4 8 , , 3 2 1 4 , 2 6 0 3 2 , 4 8 1 3 4 7 2 2 8 9 5 1 , 4 5 2 2 5 8 1 , - 1 1 ) C L S F ( 2 9 6 4 1 , 8 2 9 2 , 0 2 6 7 1 , 7 5 1 1 , 6 4 4 3 0 6 1 , , 9 8 9 1 , 2 5 2 4 , 4 7 1 1 , 6 2 4 5 , - 9 r a e Y ) C J F ( 0 1 5 6 5 8 3 , 9 4 5 6 , 4 1 1 5 4 , 3 0 0 3 , 4 4 8 7 4 8 3 , 6 4 7 8 2 2 4 7 9 5 6 4 1 , 7 8 2 2 5 7 1 , 3 0 0 1 , 6 4 2 9 4 2 1 , 2 2 9 3 , 8 6 5 0 9 4 4 , 6 2 7 6 , 4 6 8 0 9 5 7 , , 3 7 1 2 , 2 1 3 2 1 , 4 5 2 1 , 5 1 2 9 6 4 1 , 3 6 6 1 , 4 9 1 7 5 8 1 , - - - - - - 1 - 1 1 - 1 - - - 2 - t
General Table & Descriptive Analysis Report 69 69 e c n i v o r P / n o i s i v i D / x e S / : 0 1 .
1 e l b a T 8 - 7 r a e Y 6 - 5 r a e Y 4 - , 5 2 4 2 , 1 3 0 2 , 3 1 1 4 4 1 2 , 7 8 3 2 , 6 0 3 3 9 6 2 , 4 9 3 9 4 3 4 4 2 4 1 7 , 3 6 5 5 0 7 7 , 9 2 5 1 1 , 2 8 6 1 , 1 1 2 3 1 , 7 1 7 9 9 0 7 , 6 1 8 7 , 6 6 0 4 , 4 2 6 0 9 6 4 , 4 9 6 2 2 , 3 2 0 3 , 7 1 7 5 2 , ) E F S F ( r a e Y 2 1 - 1 1 ) C L S F ( - 9 r a e Y ) C J F ( 0 1 l o o h c S 8 - 7 r a e Y 6 - 5 r a e Y 4 - / n o i s i v i D / x e S / : 0 1 .
1 e l b a T 7 1 8 1 2 2 3 2 1 2 4 5 2 1 - , 5 6 1 7 6 5 1 , 2 3 1 3 3 5 3 1 6 3 5 4 3 8 4 0 1 - , 6 5 1 3 8 7 1 , 5 2 0 2 , 9 3 3 4 6 3 2 , 1 9 3 1 , 2 3 1 3 2 5 1 , 7 2 8 8 2 1 5 5 9 3 4 2 4 , 9 9 5 2 4 8 4 , 7 0 2 1 , 0 5 7 5 2 1 , 1 3 1 1 , 7 5 8 8 1 1 , 8 2 3 1 , 8 5 1 6 8 4 1 , 8 2 2 4 2 2 5 2 4 9 8 3 , 9 8 2 3 8 1 4 , 1 1 5 6 , 4 9 9 5 0 5 7 , 8 4 0 4 , 4 6 4 2 1 5 4 , 6 9 1 2 , 0 8 3 6 7 5 2 , 5 5 7 2 1 , 8 3 8 1 , 3 9 5 4 1 , , 7 3 1 2 5 3 1 , 5 6 7 1 5 6 1 8 0 1 5 9 5 9 6 5 0 9 4 2 , 7 4 2 7 3 7 2 , - 4 1 1 - 1 1 3 - 3 - - - 8 1 - 8 1 4 0 1 7 1 1 1 0 6 4 4 6 1 4 2 3 4 5 0 2 3 1 8 1 2 1 - 1 - - - - - - - - - 1 - 1 7 1 8 4 - 4 1 - / a g o r d a N a s o v a N a R l a t o T a B n r e t s e W General Table & Descriptive Analysis Report 70 ) E F S F ( r a e Y 2 1 - 1 1 ) C L S F ( - 9 r a e Y ) C J F ( 0 1 l o o h c S 8 - 7 r a e Y 6 - 5 r a e Y 4 - / n o i s i v i D / x e S
i v i D e c n i v o r P / n o i s i v i D / x e S / : 0 1 .
1 e l b a T 1 2 8 3 , 1 7 6 2 9 4 4 , 5 3 0 0 1 , 9 7 3 1 , 4 1 4 1 1 , 3 9 7 8 , 2 1 2 2 , 5 0 0 1 1 , 9 4 6 2 2 , 2 6 2 4 , 1 1 9 6 2 , , 0 7 2 6 0 8 1 , , 5 4 7 5 5 1 0 0 9 1 8 2 2 , 2 8 3 3 6 6 2 , 4 4 5 1 , 2 6 4 6 0 0 2 , 0 7 5 4 , 9 9 9 9 6 5 5 , 7 7 9 1 , 8 1 3 5 9 2 2 , 9 5 9 4 , 1 6 6 0 2 6 5 , 1 4 8 4 , 0 7 2 1 , 1 1 1 6 , 7 7 7 1 1 , 9 4 2 2 , 6 2 0 4 1 , 6 3 4 4 7 0 1 5 8 9 9 4 0 1 9 3 9 2 9 1 2 0 1 1 , 1 3 1 1 , 3 7 3 2 , 0 7 3 3 4 7 2 , - - - 1 - 1 1 - 1 2 - % 5 9 1 .
, r a e y s u s n e C e h t g n i r u d , e l b a t e h t n i n e e s e b n a c s A .

 .

 .

1 n i e b o t d n u o f e r e w s r e m r a f f o % 1 n a h t s s e l y l n O .

d e c r o v i d r o d e t a r a p e s .

s a % 3 2 d n a d e w o d i w s a % 1 5 .

, d e i r r a m y l t n e r r u c s a % 4 2 7 .


, d e i r r a m r e v e n s a d e t r o p e r .

 % 6 2 t a .

e c r o v i d / Th .
p i h s n o i t a l e r o t c a f e d General Table & Descriptive Analysis Report 71 71 , 1 7 9 1 1 , 5 9 3 3 8 , 7 9 3 5 , 6 6 5 1 , 3 6 9 6 , 5 6 4 1 , 4 1 5 9 7 9 1 , 1 2 8 2 , 1 6 5 2 8 3 3 , 7 4 8 1 , 0 5 4 7 9 2 2 , 9 0 4 7 , 2 3 0 1 , 1 4 4 8 , 9 3 9 8 1 , 3 2 1 4 , 2 6 0 3 2 , 0 3 3 2 , , 1 9 2 1 , , 5 0 1 2 , 4 5 2 4 , , - 9 2 5 5 4 2 5 , 0 1 9 7 , 5 6 3 0 6 , 4 3 9 3 , 9 8 1 1 , 3 2 1 5 , 2 3 0 1 , 9 8 3 1 2 4 1 , 9 0 0 2 , 9 5 3 8 6 3 2 , 1 4 3 1 , 7 3 3 8 7 6 1 , 2 4 2 5 , 7 2 6 9 6 8 5 , 8 5 5 3 1 , 1 0 9 2 , 9 5 4 6 1 , 1 7 6 1 , 9 6 r e v e N d e i r r a M 7 7 7 4 1 , 4 8 4 1 , 1 6 2 6 1 , 6 7 1 0 4 1 1 , 6 1 3 1 , , 8 1 8 1 , 7 6 1 4 , 1 2 5 8 8 6 4 , / n o i s i v i D / : 1 1 .
1 e l b a T General Table & Descriptive Analysis Report 72 l a t o T 5 2 4 2 , 1 3 0 2 , 3 1 1 4 4 1 2 , 7 8 3 2 , 6 0 3 3 9 6 2 , 4 9 3 9 4 3 4 4 3 6 5 2 4 1 7 , 5 0 7 7 , 9 2 5 1 1 , 2 8 6 1 , 1 1 2 3 1 , 7 1 7 9 9 0 7 , 6 1 8 7 , 6 6 0 4 , 4 2 6 0 9 6 4 , 4 9 6 2 2 , 3 2 0 3 , 7 1 7 5 2 , / n o i s i v i D / : 1 1 .
1 e l b a T 4 1 1 1 1 2 1 3 1 1 4 1 8 - , 9 2 6 1 - 6 1 5 3 5 0 4 2 1 3 2 8 6 8 8 0 7 5 5 7 3 4 8 1 5 3 3 - 3 3 6 4 1 3 1 9 5 1 4 6 0 4 7 1 , 7 0 5 1 , 1 7 5 1 , 4 7 6 1 , 3 2 2 7 9 8 1 , 2 8 2 8 2 0 1 3 4 8 3 4 3 1 5 , 8 1 5 5 , 5 4 0 9 , 0 2 9 5 6 9 9 , 9 3 4 5 , 4 7 2 3 1 7 5 , 5 8 9 2 , 7 8 3 2 7 3 3 , 9 6 4 7 1 , 1 8 5 1 , 0 5 0 9 1 , , 9 8 6 1 , 1 3 7 1 , 5 8 1 6 1 9 1 , 4 0 2 1 , 0 3 1 4 3 3 1 , 1 5 8 1 9 2 4 9 6 0 4 6 8 7 3 , 2 9 1 4 , / a g o r d a N a s o v a N a R l a t o T General Table & Descriptive Analysis Report 73 73 - / n o i s i v i D / : 1 1 .
1 e l b a T 1 2 8 3 , 2 9 4 4 , 1 7 6 5 3 0 0 1 , 9 7 3 1 , 4 1 4 1 1 , 3 9 7 8 , 2 1 2 2 , 5 0 0 1 1 , 9 4 6 2 2 , 2 6 2 4 , 1 1 9 6 2 , , 1 3 3 4 3 7 8 1 1 8 9 3 4 6 9 4 1 6 1 0 2 1 8 1 8 0 7 2 , 2 1 2 3 , 7 7 7 6 , 4 0 5 0 4 7 7 , 9 0 8 6 , 7 7 5 1 , 6 8 3 8 , 3 6 9 4 9 2 6 1 , 4 4 0 3 , 8 3 3 9 1 , d e i r 8 3 9 9 7 7 1 0 1 , 3 6 7 2 , 3 6 9 2 , 3 4 5 1 , 0 0 2 2 1 7 1 , 4 4 2 5 , 2 9 6 5 , % 4 9 5 .
Th .

 .

e l b a T e c n i v o r P / : 2 1 .

1 e l b a T General Table & Descriptive Analysis Report 74 .

l d e y o p m e - f l e s s a % 5 9 3 .


y b d e w o l l o f e c n e t s i s b u s / s r e k r o w y l i m a f d i a p n u f o t a h t s i .
, 1 7 9 1 1 , 5 9 3 3 8 , 7 9 3 5 , 6 6 5 1 , 3 6 9 6 , 5 6 4 1 , 4 1 5 9 7 9 1 , 1 2 8 2 , 1 6 5 2 8 3 3 , 7 4 8 1 , 0 5 4 7 9 2 2 , 9 0 4 7 , 2 3 0 1 , 1 4 4 8 , 9 3 9 8 1 , r e k r o W / - / : 2 1 .
1 e l b a T 2 5 0 1 2 6 6 2 8 2 - 2 2 - 2 - 1 1 3 2 2 5 2 3 3 9 7 7 3 4 , 7 8 0 6 , 6 6 8 9 4 , 5 2 5 3 , 4 0 7 9 2 2 4 , 1 8 8 2 3 2 3 1 1 1 , 5 6 4 1 , 7 0 2 2 7 6 1 , 3 2 9 8 4 1 1 7 0 1 , 4 5 8 3 , 9 5 4 3 1 3 4 , 8 4 6 0 1 , , 2 9 7 5 , 9 4 9 2 3 , 9 2 8 1 , 2 5 8 1 8 6 2 , 0 6 5 9 7 2 9 3 8 3 3 3 1 , 7 4 3 0 8 6 1 , 5 1 9 0 0 3 5 1 2 1 , 8 6 4 3 , 5 6 5 3 3 0 4 , 5 0 1 8 , 3 8 1 9 3 2 2 2 4 2 4 8 2 7 2 9 8 3 1 1 6 - General Table & Descriptive Analysis Report 75 75 l a t o T 3 2 1 4 , 2 6 0 3 2 , 0 3 3 2 , 5 9 5 2 4 2 , 1 3 0 2 , 3 1 1 4 4 1 2 , 7 8 3 2 , 6 0 3 3 9 6 2 , 4 9 3 9 4 3 4 4 2 4 1 7 , 3 6 5 5 0 7 7 , r e k r o W / - / : 2 1 .
1 e l b a T 5 8 3 - - - - - - 1 - 1 5 - 5 6 - 6 0 5 7 1 , 8 9 3 2 1 , - 0 4 6 0 6 6 3 5 0 1 , - 7 6 8 0 0 1 1 , - 6 4 0 1 , 6 4 1 0 2 6 6 1 6 0 7 2 , 6 6 2 2 7 9 2 , 3 1 7 9 1 - 1 2 - 2 3 1 4 - 1 1 6 2 8 3 4 3 2 , 8 4 4 0 1 , 7 8 6 1 , 4 7 1 6 7 1 , 4 7 9 6 6 0 4 0 1 , 2 1 5 1 , 5 2 1 7 3 6 1 , 3 4 2 8 2 1 7 2 6 1 4 4 , 3 9 2 9 0 7 4 , 2 1 1 8 2 1 3 2 - 2 4 1 5 - - - General Table & Descriptive Analysis Report 76 l a t o T 9 2 5 1 1 , 2 8 6 1 , 1 1 2 3 1 , 7 1 7 9 9 0 7 , 6 1 8 7 , 6 6 0 4 , 4 2 6 0 9 6 4 , 4 9 6 2 2 , 3 2 0 3 , 7 1 7 5 2 , 1 2 8 3 , 1 7 6 2 9 4 4 , 5 3 0 0 1 , 9 7 3 1 , 4 1 4 1 1 , 3 9 7 8 , 2 1 2 2 , 5 0 0 1 1 , 9 4 6 2 2 , 2 6 2 4 , 1 1 9 6 2 , r e k r o W / - / : 2 1 .
1 e l b a T 3 1 4 2 - 2 - 2 2 5 3 8 1 - 1 4 2 6 3 - 3 8 2 0 1 0 9 0 7 , 0 3 0 1 , 0 2 1 8 , 3 2 6 4 , 3 9 3 6 1 0 5 , 5 8 0 3 , 4 7 4 9 5 5 3 , 8 9 7 4 1 , 7 9 8 1 , 5 9 6 6 1 , 2 3 9 2 , 2 4 3 4 7 2 3 , 4 5 3 7 , 3 0 8 7 5 1 8 , 1 4 3 5 , 9 2 0 1 , 0 7 3 6 , 7 2 6 5 1 , 4 7 1 2 , 1 0 8 7 1 , 6 5 6 2 6 1 2 - 1 2 3 1 - , 4 9 9 4 , 9 3 4 2 , 3 2 3 2 6 7 2 , 9 5 9 7 4 1 6 0 1 1 , 4 5 7 7 , 8 0 1 1 , 2 6 8 8 , 5 7 8 0 2 3 5 9 1 1 , 8 1 6 2 , 2 6 5 0 8 1 3 , 9 8 3 3 , 6 6 1 1 , 5 5 5 4 , 2 8 8 6 , 8 4 0 2 , 0 3 9 8 , / General Table & Descriptive Analysis Report 77 77 Figure 1.12 (a): Farmers Occupational Status: FIJI Figure 1.12 (b): Farmers Occupational Status: Central Figure 1.12 (c): Farmers Occupational Status: Eastern Figure 1.12 (d): Farmers Occupational Status: Western Figure 1.12 (e): Farmers Occupational Status: Northern General Table & Descriptive Analysis Report 78 1.13 Farmers Participation by Agricultural Activities Table 1.13, 1.14 and 1.15 present participation of farmers in different agricultural activities like crop production, livestock etc.
Since a particular farmer is usually involved in more than one agricultural activity, he/ she might have been counted under such categories that is more than once.

It may be noted therefore that the sum total of farmers participating in different activities might not tally with the total number of farmers.
Table 1.13: Farmers Participation by Agricultural Activities Division/Province Division Province Crop Activities Livestock Activities Forestry Activities Fiji Central Eastern Western Northern Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total Source: AMA General Table & Descriptive Analysis Report 79 79 l a t o T 6 3 3 3 8 , e l a m e F 1 4 9 1 1 , l a t o T e l a M 5 9 3 1 7 , l a t o T 9 1 4 9 2 , 7 7 1 8 , e l a m e F e l a M 2 4 2 1 2 , l a t o T 7 1 9 3 5 , 4 6 7 3 , e l a m e F e l a M 3 5 1 0 5 , / x e S / s k s a T p o r C t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 4 1 .
1 e l b a T 9 8 3 0 8 , 5 6 3 3 8 , 0 2 4 1 1 , 7 5 9 1 1 , 9 6 9 8 6 , 8 0 4 1 7 , 5 5 9 6 2 , 1 4 4 9 2 , 2 2 1 7 1 2 4 7 0 3 8 , 4 7 0 3 8 , 5 6 3 3 8 , 4 7 0 3 8 , 4 7 5 2 1 , 5 6 3 3 8 , 2 8 8 8 3 , 3 1 3 4 1 , 9 1 0 3 9 0 9 1 1 , 9 0 9 1 1 , 7 5 9 1 1 , 9 0 9 1 1 , 7 7 1 1 , 7 5 9 1 1 , 9 0 9 1 1 , 9 0 9 1 1 , 3 0 1 7 8 1 5 6 1 1 7 , 5 6 1 1 7 , 8 0 4 1 7 , 5 6 1 1 7 , 7 9 3 1 1 , 8 0 4 1 7 , 3 7 9 6 2 , 4 0 4 2 , 6 2 2 6 5 7 1 9 2 , 5 7 1 9 2 , 1 4 4 9 2 , 5 7 1 9 2 , 2 5 1 2 , 1 4 4 9 2 , 4 3 2 1 1 , 5 2 4 8 , 0 0 7 7 , 2 9 1 8 , 1 1 2 2 5 4 1 8 , 5 4 1 8 , 2 9 1 8 , 5 4 1 8 , 1 0 7 2 9 1 8 , 5 4 1 8 , 5 4 1 8 , 5 5 2 9 1 , 9 4 2 1 2 , 4 3 4 3 5 , 4 2 9 3 5 , 0 2 7 3 , 5 6 7 3 , 5 1 0 4 0 3 0 1 2 , 0 3 0 1 2 , 9 4 2 1 2 , 0 3 0 1 2 , 1 5 4 1 , 9 4 2 1 2 , 0 8 2 9 8 0 3 , 6 9 5 5 1 9 9 8 3 5 , 9 9 8 3 5 , 4 2 9 3 5 , 9 9 8 3 5 , 2 2 4 0 1 , 4 2 9 3 5 , 8 4 6 7 2 , 8 8 8 5 , 8 8 4 6 7 3 , 4 6 7 3 , 5 6 7 3 , 4 6 7 3 , 6 7 4 5 6 7 3 , 4 6 7 3 , 4 6 7 3 , 4 1 7 9 4 , 9 5 1 0 5 , 8 8 7 4 1 5 3 1 0 5 , 5 3 1 0 5 , 9 5 1 0 5 , 5 3 1 0 5 , 6 4 9 9 , 9 5 1 0 5 , 4 8 8 3 2 , 4 2 1 2 , - n r u B ; p m a & h s a l S , g n i r a e l c d n a L .
g e ( n o i t a r a p e r P d n a L ) c t e , g n i h g u o P l , g n i s g n i l d e e S e e r T p o r C g n i t n a l P / - i t s e P / r e z i l i t r e F g n i y l p p A .
c t e , s e d i c g n i d e e W - e g a n a M r e t a W / General Table & Descriptive Analysis Report 80 6 5 0 5 2 , 9 0 9 1 1 , 7 4 1 3 1 , 2 8 6 1 1 , 5 4 1 8 , 7 3 5 3 , 4 7 3 3 1 , 4 6 7 3 , 0 1 6 9 , / g n i y r D / g n i h s a W i / g n n a e l C g n i l e e P l a t o T 8 6 4 7 , 5 6 3 3 8 , e l a m e F 7 0 7 7 5 9 1 1 , e l a M 1 6 7 6 , 8 0 4 1 7 , l a t o T 8 1 5 1 , 1 4 4 9 2 , 4 6 4 2 9 1 8 , e l a m e F e l a M 4 5 0 1 , 9 4 2 1 2 , l a t o T 0 5 9 5 , 4 2 9 3 5 , 3 4 2 5 6 7 3 , e l a m e F e l a M 7 0 7 5 , 9 5 1 0 5 , - y r D ; p m a & g n i k s u H , g n i t t u C a r p o C , / x e S / s k s a T p o r C t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 4 1 .
1 e l b a T 9 7 3 7 4 0 3 2 , 0 2 2 2 2 , 7 5 0 3 2 , 2 2 2 8 9 1 0 3 2 , 9 1 0 3 2 , 7 5 0 3 2 , 9 1 0 3 2 , 3 4 1 6 1 1 4 , 0 7 9 3 , 1 2 1 4 , 5 4 1 5 1 1 4 , 5 1 1 4 , 1 2 1 4 , 5 1 1 4 , 6 3 2 1 3 9 8 1 , 0 5 2 8 1 , 6 3 9 8 1 , 7 1 8 6 4 0 9 8 1 , 4 0 9 8 1 , 6 3 9 8 1 , 4 0 9 8 1 , 2 0 2 3 2 2 9 , 7 8 5 8 , 3 3 2 9 , 7 9 2 7 9 1 9 , 7 9 1 9 , 3 3 2 9 , 7 9 1 9 , 9 8 2 0 9 2 , 0 7 7 2 , 7 0 9 2 , 2 3 1 1 0 9 2 , 1 0 9 2 , 7 0 9 2 , 1 0 9 2 , 3 1 1 1 2 3 6 , 7 1 8 5 , 6 2 3 6 , 5 6 1 6 9 2 6 , 6 9 2 6 , 6 2 3 6 , 6 9 2 6 , 7 7 1 4 2 8 3 1 , 3 3 6 3 1 , 4 2 8 3 1 , 5 1 3 5 2 2 8 3 1 , 2 2 8 3 1 , 4 2 8 3 1 , 2 2 8 3 1 , 4 5 4 1 2 1 , 0 0 2 1 , 4 1 2 1 , 3 1 4 1 2 1 , 4 1 2 1 , 4 1 2 1 , 4 1 2 1 , 3 2 1 0 1 6 2 1 , 3 3 4 2 1 , 0 1 6 2 1 , 2 1 2 5 8 0 6 2 1 , 8 0 6 2 1 , 0 1 6 2 1 , 8 0 6 2 1 , i g n m r a F e r u t l u c i r o F l - n r u B ; p m a & h s a l S , g n i r a e l c ) c t e , g n i h g u o P l , g n i s g n i l d e e S e e r T p o r C g n i t n a l P / - i t s e P / r e z i l i t r e F g n i y l p p A - e g a n a M r e t a W / n o i t a g i r r I t n e m c t e , s e d i c g n i d e e W d n a L .
g e ( n o i t a r a p e r P d n a L l a r t n e C 6 9 2 4 , 3 5 5 3 4 7 3 , 7 5 9 1 6 3 6 9 5 9 3 3 3 , 2 9 1 7 4 1 3 , e c u d o r P f o y r e v i l e D General Table & Descriptive Analysis Report 81 81 6 8 6 6 , 5 1 1 4 , 1 7 5 2 , 5 7 8 3 , 1 0 9 2 , 4 7 9 1 1 8 2 , 4 1 2 1 , 7 9 5 1 , / g n i y r D / g n i h s a W i / g n n a e l C g n i l e e P l a t o T 7 5 0 3 2 , 2 7 5 1 1 , 2 8 6 4 , 7 9 8 2 , 7 5 0 3 2 , 1 2 1 4 , 5 1 1 4 , 5 1 1 4 , 0 7 2 1 2 1 4 , e l a m e F l a t o T e l a M 6 3 9 8 1 , 7 6 5 7 5 4 7 , 7 2 6 2 , 6 3 9 8 1 , l a t o T 3 3 2 9 , 9 6 9 3 , 4 0 0 3 , 4 5 6 3 3 2 9 , 7 0 9 2 , 1 0 9 2 , 1 0 9 2 , 2 7 1 7 0 9 2 , e l a m e F e l a M 6 2 3 6 , 8 6 0 1 , 3 0 1 2 8 4 6 2 3 6 , l a t o T 4 2 8 3 1 , 3 0 6 7 , 8 7 6 1 , 3 4 2 2 , 4 2 8 3 1 , 4 1 2 1 , 4 1 2 1 , 4 1 2 1 , 8 9 4 1 2 1 , e l a m e F e l a M 0 1 6 2 1 , 4 6 4 9 8 3 6 , 5 4 1 2 , 0 1 6 2 1 , - y r D ; p m a & g n i k s u H , g n i t t u C a r p o C , / x e S / s k s a T p o r C t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 4 1 .
1 e l b a T General Table & Descriptive Analysis Report 82 4 9 1 4 0 7 7 , 0 6 6 7 , 5 0 7 7 , 8 0 1 5 0 7 7 , 5 0 7 7 , 5 0 7 7 , 6 8 3 6 5 8 5 5 3 6 5 - 1 3 6 5 3 6 5 3 6 5 8 0 1 1 4 1 7 , 2 0 1 7 , 2 4 1 7 , 8 9 2 4 1 7 , 2 4 1 7 , 5 7 1 9 2 1 , 9 5 2 1 , 1 9 2 1 , - 4 1 9 2 1 , 1 9 2 1 , 2 4 1 7 , 1 9 2 1 , 8 3 0 7 2 6 6 2 0 7 2 - - 0 7 2 0 7 2 0 7 2 7 3 1 2 0 1 , 3 9 9 1 2 0 1 , - 4 1 2 0 1 , 1 2 0 1 , 9 1 1 3 1 4 6 , 1 0 4 6 , 4 1 4 6 , 8 6 4 1 4 6 , 4 1 4 6 , 1 2 0 1 , 4 1 4 6 , 8 4 3 9 2 2 9 2 3 9 2 - 1 3 9 2 3 9 2 3 9 2 1 7 0 2 1 6 , 9 0 1 6 , 1 2 1 6 , 8 5 1 2 1 6 , 1 2 1 6 , 1 2 1 6 , i g n m r a F e r u t l u c i r o F l - n r u B ; p m a & h s a l S , g n i r a e l c ) c t e , g n i h g u o P l , g n i s g n i l d e e S e e r T p o r C g n i t n a l P / - i t s e P / r e z i l i t r e F g n i y l p p A c t e , s e d i c g n i d e e W d n a L .
g e ( , 3 3 3 1 , 5 0 7 7 , 2 2 4 3 , 1 0 8 2 6 3 5 0 7 7 , , 2 9 2 1 , 2 4 1 7 , 9 5 8 2 , 8 3 2 1 5 3 2 4 1 7 , l a t o T 1 9 2 1 , 6 1 1 1 9 2 1 , 9 8 4 0 9 2 2 3 1 9 2 1 , 9 3 6 4 1 7 6 2 , 3 6 5 8 0 1 2 , / x e S / s k s a T p o r C t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 4 1 .
, 4 0 1 1 2 0 1 , 9 1 2 0 2 1 3 1 2 0 1 , 1 1 1 2 l a t o T 4 1 4 6 , 7 1 2 1 , 4 1 4 6 , 3 3 9 2 , 1 1 5 0 3 3 4 1 4 6 , , 8 8 1 1 , 1 2 1 6 , 0 4 6 2 , 8 1 2 0 2 3 1 2 1 6 , r o f e c u d o r p e m o h g n i s s e c o r P e l a s - y r D ; p m a & g n i k s u H , g n i t t u C a r p o C , - e g a n a M r e t a W / n o i t a g i r r I n r e t s a E 0 9 1 2 , 3 9 2 7 9 8 1 , / g n i y r D / g n i h s a W i / General Table & Descriptive Analysis Report 83 83 l a t o T 3 8 6 5 2 , 4 0 0 3 , e l a m e F l a t o T e l a M 9 7 6 2 2 , l a t o T 9 6 4 0 1 , 2 6 9 1 , e l a m e F 9 4 0 4 2 , 9 9 6 5 2 , 1 1 7 2 , 4 1 0 3 , 8 3 3 1 2 , 5 8 6 2 2 , 4 4 0 9 , 1 8 4 0 1 , 2 8 6 1 , 1 7 9 1 , 3 2 7 2 8 8 4 5 2 , 8 8 4 5 2 , 9 9 6 5 2 , 8 8 4 5 2 , 8 4 3 3 , 9 9 6 5 2 , 0 9 7 9 , 2 0 4 3 , 3 2 3 1 , 9 9 6 5 2 , 2 2 7 7 9 2 , 7 7 9 2 , 4 1 0 3 , 7 7 9 2 , 4 4 2 4 1 0 3 , 7 7 9 2 , 7 7 9 2 , 4 0 1 4 1 0 3 , 1 2 5 2 1 1 5 2 2 , 1 1 5 2 2 , 5 8 6 2 2 , 1 1 5 2 2 , 4 0 1 3 , 5 8 6 2 2 , 5 2 4 3 1 8 6 , 9 1 2 1 , 5 8 6 2 2 , 5 5 1 9 2 0 1 , 1 9 2 0 1 , 1 8 4 0 1 , 1 9 2 0 1 , 2 8 4 1 8 4 0 1 , 9 1 6 2 , 4 8 9 1 , 6 3 2 1 8 4 0 1 , 2 1 5 3 9 1 , 5 3 9 1 , 1 7 9 1 , 5 3 9 1 , 1 3 1 1 7 9 1 , 5 3 9 1 , 5 3 9 1 , 5 7 1 7 9 1 , e l a M 7 0 5 8 , 2 6 3 7 , 0 1 5 8 , 3 4 6 5 3 8 , 6 5 3 8 , 0 1 5 8 , 6 5 3 8 , 1 5 3 0 1 5 8 , 4 8 6 9 4 1 6 1 0 1 5 8 , 5 0 0 5 1 , 8 1 2 5 1 , 9 2 0 1 , 3 4 0 1 , 6 7 9 3 1 , 5 7 1 4 1 , 8 1 2 2 7 9 1 5 1 , 7 9 1 5 1 , 8 1 2 5 1 , 7 9 1 5 1 , 6 6 8 2 , 8 1 2 5 1 , 1 7 1 7 , 8 1 4 1 , 7 8 0 1 , 8 1 2 5 1 , - 1 2 4 0 1 , 2 4 0 1 , 3 4 0 1 , 2 4 0 1 , 3 1 1 3 4 0 1 , 2 4 0 1 , 2 4 0 1 , 9 2 3 4 0 1 , 8 1 1 2 5 5 1 4 1 ,
 5 5 1 4 1 , 5 7 1 4 1 , 5 5 1 4 1 , 3 5 7 2 , 5 7 1 4 1 , 6 7 3 9 2 1 6 , 8 5 0 1 , 5 7 1 4 1 , - n r u B ; p m a & h s a l S , g n i r a e l c ) c t e , g n i h g u o P l , g n i s g n i l d e e S e e r T p o r C g n i t n a l P / - i t s e P / r e z i l i t r e F g n i y l p p A c t e , s e d i c g n i d e e W - e g a n a M r e t a W / - y r D ; p m a & g n i k s u H , g n i t t u C a r p o C , , 2 4 0 1 , e l a m e F e l a M 2 7 1 4 1 , d n a L .
g e ( / x e S / s k s a T p o r C t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 4 1 .
1 e l b a T 0 0 2 6 , 7 7 9 2 , 3 2 2 3 , 5 1 3 3 , 5 3 9 1 , 0 8 3 1 , 5 8 8 2 , 2 4 0 1 , 3 4 8 1 , / g n i y r D / g n i h s a W i / General Table & Descriptive Analysis Report 84 l a t o T 2 0 9 6 2 , 8 5 2 4 , e l a m e F e l a M 4 4 6 2 2 , 9 6 8 9 0 6 4 6 2 , 4 0 9 6 2 , 2 6 8 6 2 , 2 6 8 6 2 , 4 0 9 6 2 , 2 6 8 6 2 , 7 9 5 3 , 4 0 9 6 2 , 8 9 0 4 1 , 8 2 4 5 , 6 8 8 2 , 4 0 9 6 2 , 1 8 1 4 , 9 5 2 4 , 2 1 3 1 4 5 2 4 , 4 5 2 4 , 9 5 2 4 , 4 5 2 4 , 9 3 3 9 5 2 4 , 4 5 2 4 , 4 5 2 4 , 2 2 3 9 5 2 4 , 7 5 5 8 9 7 2 2 2 , 5 4 6 2 2 , 8 0 6 2 2 , 8 0 6 2 2 , 5 4 6 2 2 , 8 0 6 2 2 , 8 5 2 3 , 5 4 6 2 2 , 4 4 8 9 , 4 7 1 1 , 4 6 5 2 , 5 4 6 2 2 , l a t o T 6 3 4 8 , 5 6 0 8 , 6 3 4 8 , 4 1 4 2 6 9 3 8 , 6 9 3 8 , 6 3 4 8 , 6 9 3 8 , 7 9 5 6 3 4 8 , 7 5 1 4 , 7 4 1 3 , 6 9 5 6 3 4 8 , 3 4 0 3 , e l a m e F 7 8 2 8 9 2 , 4 4 0 3 , 9 3 0 3 , 9 3 0 3 , 4 4 0 3 , 9 3 0 3 , 7 9 1 4 4 0 3 , 9 3 0 3 , 9 3 0 3 , 6 1 2 4 4 0 3 , 3 7 3 2 0 5 2 4 9 1 9 9 4 9 , 4 5 2 4 , 5 4 2 5 , 1 1 0 4 , 9 3 0 3 , e l a M 3 9 3 5 , 3 8 0 5 , 2 9 3 5 , 7 6 1 7 5 3 5 , 7 5 3 5 , 2 9 3 5 , 7 5 3 5 , 0 0 4 2 9 3 5 , 8 1 1 1 , 8 0 1 0 8 3 2 9 3 5 , 2 7 9 3 2 5 9 3 8 1 , 8 6 4 8 1 , 9 9 1 1 , 5 1 2 1 , 6 9 1 7 1 , 3 5 2 7 1 , 5 5 4 7 6 6 4 8 1 , 6 6 4 8 1 , 8 6 4 8 1 , 6 6 4 8 1 , 0 0 0 3 , 8 6 4 8 1 , 1 4 9 9 , 1 8 2 2 , 0 9 2 2 , 8 6 4 8 1 , 5 5 5 1 2 1 , 5 1 2 1 , 5 1 2 1 , 5 1 2 1 , 2 4 1 5 1 2 1 , 5 1 2 1 , 5 1 2 1 , 6 0 1 5 1 2 1 , 0 5 9 6 1 5 2 7 1 , 1 5 2 7 1 , 3 5 2 7 1 , 1 5 2 7 1 , 8 5 8 2 , 3 5 2 7 1 , 6 2 7 8 , 6 6 0 1 , 4 8 1 2 , 3 5 2 7 1 , - n r u B ; p m a & h s a l S , g n i r a e l c ) c t e , g n i h g u o P l , g n i s g n i l d e e S e e r T p o r C g n i t n a l P / / r e z i l i t r e F g n i y l p p A c t e , s
T / r e z i l i t r e F g n i y l p p A c t e , s e d i c i t s e P r e t a W / , s t u n o c o c g n i r e h t a G ; p m a & g n i k s u H , , 5 1 2 1 , 3 7 2 4 , / g n i y r D / g n i h s a W i / g n n a e l C g n i l e e P l a t o T 6 6 4 8 1 , 5 1 2 1 , e l a m e F e l a M 1 5 2 7 1 , d n a L .
g e ( / x e S / s k s a T p o r C t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 4 1 .
1 e l b a T General Table & Descriptive Analysis Report 85 85 l a t o T e l a m e F e l a M 4 1 3 3 1 , 2 3 1 1 , 2 8 1 2 1 , 6 7 1 1 3 4 3 , 5 6 3 7 , 2 6 9 6 , 5 7 5 4 3 8 6 4 7 4 7 8 2 2 6 2 5 2 , 5 8 4 2 , 2 2 0 1 , 8 4 1 0 2 2 5 8 2 6 1 3 1 2 1 8 9 6 4 6 1 1 6 2 4 4 5 1 , 1 5 2 9 2 5 1 6 7 4 5 1 , 2 5 6 9 7 8 5 4 2 6 6 6 9 4 2 5 7 2 7 9 1 1 2 4 1 2 - 1 8 9 1 - 5 - 7 4 1 0 8 1 3 , 0 5 7 6 , 5 1 4 5 , 3 2 5 8 3 7 9 5 6 8 0 8 6 1 1 8 2 2 , 6 3 2 2 , , l a t o T 7 2 7 3 , 6 0 7 0 5 3 2 3 2 , 5 4 0 3 , 7 5 7 7 4 1 8 1 8 0 4 5 6 1 1 , e l a m e F e l a M 0 7 9 2 , 9 5 5 2 3 5 1 9 1 , 0 8 8 1 , - 0 4 9 5 5 5 9 6 1 0 4 4 3 7 1 7 8 1 7 2 1 0 1 3 2 - 5 3 7 - 1 - - l a t o T 7 8 5 9 , 5 2 7 2 , 6 2 1 2 4 0 5 , 7 1 9 3 , 4 6 4 0 4 6 9 4 5 4 9 6 3 1 3 1 8 1 , 3 5 5 1 , , - 7 1 1 1 1 - - 6 4 2 1 - 4 - e l a M 2 1 2 9 , 1 2 6 2 , 5 1 1 5 3 8 4 , 5 3 5 3 , 2 5 4 3 0 6 7 1 5 8 6 6 1 1 7 3 7 1 , 7 7 4 1 , , / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s t a o g / , e l t t a c g n i d r e h p e h S / g n i d e e F i j i F p e e h s d n a s t a o g , e l t t a c g n i d r e h p e h S / / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s t a o g / s w o c g n i k l i M s e v i H e e B g n i g
g / , e l t t a c g n i d r e h p e h S / / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s t a o g / / x e S / s k s a T k c o t s e v i L t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 5 1 .
1 e l b a T General Table & Descriptive Analysis Report 86 l a t o T 2 9 3 6 , 6 6 4 1 , 3 6 5 2 7 1 , 8 8 0 2 , 1 0 3 4 9 2 8 4 1 0 7 9 3 8 0 8 0 4 , 1 1 6 1 , 1 9 5 3 , , 1 9 3 1 , 2 5 9 9 5 1 , 5 7 6 1 , 6 7 2 6 6 2 0 3 1 6 8 5 3 , 6 2 2 1 , 2 6 8 1 7 2 5 4 1 , 1 5 7 2 , 7 9 0 3 2 9 4 2 9 0 2 3 2 7 2 4 7 7 4 1 , , 9 9 2 7 1 5 0 7 0 1 2 3 3 6 8 7 e l a m e F 7 2 0 1 , / x e S / s k s a T k c o t s e v i L t n e r e ff D n i d e v l o v n I i s r e m r a F f o r e b m u N : 5 1 .
1 e l b a T e l a M 9 2 5 1 , , 7 6 1 1 , 6 4 0 2 0 1 , 1 6 0 1 , , 9 1 1 1 6 7 0 6 4 8 1 1 , 4 1 1 2 , 3 8 9 8 1 7 1 2 6 3 4 7 3 3 8 1 4 8 3 1 e l a M 4 8 4 4 , 5 2 1 1 , 1 4 2 7 9 2 6 9 1 5 2 0 2 2 2 0 1 5 2 7 6 5 5 3 7 2 , 7 4 1 1 , 1 3 9 1 , 9 7 1 8 1 4 0 2 p e e h s d n a s t a o g , e l t t a c g n i d r e h p e h S / / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s t a o g / / / g n i d e e F s g i P g n i g a n a M / g n i d e e F s t a o g / , e l t t a c g n i d r e h p e h S / g n i d e e F n r e h t r o N General Table & Descriptive Analysis Report 87 87 e n o N y t l u c ffi D i h t i w y t l u c ffi D i g n i t a c i n u m m o C s a h c u s e r a c - ffi D i - r e b m e m e R - n o C r o g n i g n i t a r t n e c s p e t s y t l u c ffi ffi / e g A / x e S / : 6 1 .
1 e l b a T 8 8 1 2 , 0 7 4 2 1 , 1 1 7 5 1 , 8 3 6 4 1 , 7 9 6 3 1 , 0 2 2 7 8 1 9 , 4 7 8 1 , 1 3 6 2 , 8 4 5 2 , 0 7 4 2 , 5 1 6 1 , - 3 3 4 6 4 2 3 0 4 4 5 9 5 6 9 3 9 1 - 6 7 0 1 1 1 7 4 2 2 4 9 9 5 8 1 3 3 4 0 7 8 - 9 6 1 5 2 6 7 8 8 1 5 7 1 5 3 2 6 9 2 1 3 5 4 - 3 4 7 5 1 5 6 2 2 2 7 4 8 4 1 1 0 4 0 1 8 - 2 6 7 2 4 7 7 4 1 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 1 ≤ s r y 0 1 ≥ x e l a m e F s r y 9 1 ≤ s r y 0 1 ≥ x e l a M i j i F .
f o % 9 4 9 d n a s e l a m f o % 1 5 9 .

t a h t e l b a t e h t m o r f d e t o n e b y a m t I .

p u o r g - e g a d n a x e s , .

e l b a T d e w o l l o f ) s d i a g n i r a e h h t i w n e v e ( g n i r a e h n i y t l u c ffi i d h t i w d e t r o p e r e r e w % 2 1 .

f o n o i t r o p o r p m u m i x a m e Th .


 . )

s e s s a l g h t i w n e v e g n i e e s m e l b o r p ( t n e m r i a p m i l a u s i v h t i w % 1 1 y b .

 .
1 General Table & Descriptive Analysis Report 88 e n o N y t l u c ffi D i h t i w y t l u c ffi D i g n i t a c i n u m m o C s a h c u s e r a c - ffi D i - r e b m e m e R - n o C r o g n i g n i t a r t n e c s p e t s y t l u c ffi ffi / e g A / x e S / : 6 1 .
1 e l b a T 7 9 5 7 6 3 3 , 3 6 1 4 , 4 7 7 3 , 6 4 4 3 , 1 2 6 2 , 2 8 5 9 6 1 6 9 3 8 8 4 2 8 6 8 4 0 7 2 3 9 2 1 , 9 6 5 1 , 8 3 3 1 , 7 2 3 1 , 5 5 9 2 1 4 9 0 4 1 7 0 1 3 1 1 6 7 1 6 8 1 5 1 4 2 2 4 - 1 3 4 5 9 3 5 6 4 3 9 - - - - - 1 - 3 1 1 9 0 2 6 3 - 1 1 2 5 5 1 1 3 3 6 6 - - - - - 1 1 3 0 1 6 4 2 3 4 - - 3 3 5 9 - 4 4 3 3 1 2 - - - - - 3 - 9 6 3 5 3 1 1 1 0 6 2 - 1 7 7 5 2 8 5 1 2 4 6 1 8 5 1 3 1 - - 1 1 3 7 1 4 2 1 6 1 0 4 1 3 1 - 1 2 3 5 2 2 1 2 4 6 1 1 7 5 - - - - - 1 - 4 5 1 4 3 7 0 1 0 7 2 - - 3 5 1 2 3 4 1 - 4 5 1 1 4 8 7 - - - 2 1 2 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 1 ≤ s r y 0 1 ≥ x e l a m e F s r y 9 1 ≤ s r y 0 1 ≥ x e l a M l a r t n e C s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 1 ≤ s r y 0 1 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 5 > x e l a M n r e t s a E s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 1 ≤ s r y 0 1 ≥ x e l a m e F General Table & Descriptive Analysis Report 89 89 e n o N y t l u c ffi D i h t i w y t l u c ffi D i g n i t a c i n u m m o C s a h c u s e r a c - ffi D i - r e b m e m e R - n o C r o g n i g n i t a r t n e c s p e t s y t l u c ffi ffi / e g A / x e S / : 6 1 .
1 e l b a T 6 6 4 0 4 2 3 , 5 1 0 5 , 9 8 7 4 , 5 8 7 4 , 6 3 1 3 , 6 3 0 4 3 8 0 6 5 8 5 4 9 6 9 2 5 5 5 8 0 7 5 4 , 4 6 9 4 , 7 3 7 4 , 9 3 1 4 , 5 7 4 2 , 0 9 5 4 7 2 2 9 3 7 9 9 3 8 4 2 5 2 7 5 1 3 1 9 1 4 4 - 3 2 - 4 6 1 2 4 1 1 1 0 2 8 2 7 3 1 - 1 5 4 4 1 5 5 9 7 1 7 4 - 2 2 - 1 - 2 1 0 1 3 2 1 3 2 5 2 - - - 2 - 6 1 6 1 0 3 9 2 5 4 1 8 - 5 3 3 4 6 2 1 7 1 0 1 1 2 4 2 8 4 - 1 1 4 2 9 1 2 1 0 4 2 8 8 3 1 5 6 2 - 4 4 5 3 3 2 7 - 9 1 9 1 2 5 6 2 1 4 1 2 - 4 4 2 1 5 1 1 5 2 2 3 1 0 2 4 4 2 8 1 - 2 2 1 6 8 2 1 9 6 0 2 4 3 3 8 - - - 3 4 4 1 1 8 6 1 4 6 2 5 1 3 8 2 - 2 3 1 1 5 3 4 6 - 0 1 2 1 5 3 1 0 1 9 7 1 - - - 9 7 1 8 3 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 1 ≤ s r y 0 1 ≥ x e l a m e F s r y 9 1 ≤ s r y 0 1 ≥ x e l a M n r e t s e W s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x s r y 9 1 ≤ s r y 0 1 ≥ x e l a m e F s r y 9 1 ≤ s r y 0 1 ≥ x e l a M n r e h t r o N General Table & Descriptive Analysis Report 90 Farmers with Savings Account 1.17 Table 1.17 and Figrue 1.17.1 gives distribution of farmers having savings bank account by age-group and sex.
It may be observed from the table that overall 51.3% of farmers have savings account, though the proportion of males having savings account at 53.2% is significantly higher compared to females at 40.0%.
And this trend is consistently observed in Central, Western and Northern regions with 53.4%, 58.1%, 55.6% for Males and 33.5%, 39.5%, 47.8% for females respectively with only exception being in Eastern region where proportion of females having savings bank account is marginally higher at 30.6% as compared to males at 29.1%.
Figure 1.17.1: % Distribution of Farmers With and Without Savings Account by Sex General Table & Descriptive Analysis Report 91 91 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 5 7 0 2 , 0 0 0 9 , 0 7 8 8 , 2 3 5 7 , 2 8 2 7 , 5 8 8 5 , .

% 0 0 0 1 4 4 6 0 4 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 3 6 1 1 2 9 9 1 9 8 5 7 3 7 6 3 4 5 .

% 0 0 0 1 7 7 9 3 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 8 4 7 7 2 3 5 2 2 1 2 1 9 1 6 4 1 .

% 0 0 0 1 7 2 1 1 , % 2 9 .

% 3 4 1 .

% 0 8 1 .

% 9 9 1 .

% 7 0 2 .

% 7 8 1 .

% 7 7 1 .

% 1 4 1 .

% 1 8 2 .

% 5 2 3 .

% 9 1 3 .

% 7 3 3 .

% 7 2 2 .

% 5 9 2 .

% 9 2 2 .

% 2 9 2 .

% 2 7 3 .

% 3 4 4 .

% 3 0 4 .

% 9 9 1 .

% 3 4 3 .


1 9 1 5 8 2 1 , 0 0 6 1 , 2 0 5 1 , 9 0 5 1 , 8 9 0 1 , 5 8 1 7 , 3 2 9 5 2 9 9 2 2 4 2 7 2 2 3 2 1 3 7 1 1 , 1 1 1 8 4 9 4 9 7 7 9 2 6 8 3 % 8 0 9 .

% 7 5 8 .

% 0 2 8 .

% 1 0 8 .

% 3 9 7 .

% 3 1 8 .

% 3 2 8 .

% 9 5 8 .

% 9 1 7 .

% 5 7 6 .

% 1 8 6 .

% 3 6 6 .

% 3 7 7 .

% 5 0 7 .

% 1 7 7 .

% 8 0 7 .

% 8 2 6 .

% 7 5 5 .

% 7 9 5 .

% 1 0 8 .

% 7 5 6 .

4 8 8 1 , 5 1 7 7 , 0 7 2 7 , 0 3 0 6 , 3 7 7 5 , 7 8 7 4 , .

% 0 0 0 1 9 5 3 .

% 0 0 0 1 .


% 0 0 0 1 5 1 5 5 , 9 6 7 9 , .

% 0 0 0 1 3 8 1 0 1 , .

% 0 0 0 1 .

% 0 0 0 1 7 5 9 9 , 8 6 9 6 , 9 5 4 3 3 , .

% 0 0 0 1 1 5 7 2 4 , 0 4 1 2 6 6 0 2 6 6 1 5 6 4 4 0 2 4 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 3 2 8 9 3 6 2 7 2 5 6 6 4 6 1 4 5 4 0 8 2 , .

% 0 0 0 1 6 8 9 2 , 7 3 6 9 1 9 5 1 8 1 1 4 1 1 7 1 1 1 4 7 .

% 0 0 0 1 9 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 9 1 1 8 2 2 0 0 2 5 8 1 1 1 1 2 5 8 % 4 8 .

% 1 1 1 .

% 9 0 1 .

% 9 0 1 .

% 3 1 1 .

% 0 2 1 .

% 2 1 1 .

% 4 7 1 .

% 8 2 1 .

% 7 1 1 .

% 2 3 1 .

% 4 4 1 .

% 7 3 1 .

% 2 3 1 .

% 1 1 1 .

% 6 2 1 .

% 8 5 1 .

% 5 5 1 .

% 2 6 1 .

% 5 3 1 .

% 0 5 1 .

0 3 3 1 6 5 6 0 1 , 5 1 1 1 , 6 2 1 1 , 7 3 8 6 8 7 4 , 4 1 5 5 8 6 8 3 9 4 7 3 9 3 1 5 1 6 3 1 3 0 3 5 1 8 2 1 % 6 1 9 .

% 9 8 8 .

% 1 9 8 .

% 1 9 8 .

% 7 8 8 .

% 0 8 8 .


% 8 8 8 .

% 6 2 8 .

% 2 7 8 .

% 3 8 8 .

% 8 6 8 .

% 6 5 8 .

% 3 6 8 .

% 8 6 8 .

% 9 8 8 .

% 4 7 8 .

% 2 4 8 .

% 5 4 8 .

% 8 3 8 .

% 5 6 8 .

% 0 5 8 .
9 2 3 2 0 9 4 , 4 0 7 8 , 8 6 0 9 , 1 3 8 8 , 1 3 1 6 , 5 6 9 7 3 , 9 1 7 4 3 1 4 6 6 6 5 3 5 5 7 6 4 3 9 5 2 , 8 4 0 1 2 9 1 9 6 1 5 5 1 6 9 4 2 7 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x i s o m a N s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T l a t o T i j i F s r y 9 1 ≤ s r y 0 1 ≥ / n o i s i v i D / x e S / p u o r G - : 7 1 .
1 e l b a T General Table & Descriptive Analysis Report 92 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % / n o i s i v i D / x e S / p u o r G - : 7 1 .

1 e l b a T .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 7 1 1 2 6 2 4 2 2 0 3 2 5 4 2 5 3 2 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 0 4 3 0 2 8 3 2 7 9 1 3 9 1 5 6 1 .

% 0 0 0 1 3 1 3 1 , .

% 0 0 0 1 6 3 0 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 2 1 2 2 7 8 9 5 8 7 7 7 3 3 7 4 6 6 .

% 0 0 0 1 0 8 5 .

% 0 0 0 1 7 1 1 4 , % 5 4 1 .

% 7 8 1 .

% 0 1 2 .

% 7 1 2 .

% 6 1 2 .

% 6 9 1 .

% 0 0 2 .

% 0 0 1 .

% 2 1 2 .


% 1 1 3 .

% 0 1 3 .

% 2 4 3 .

% 4 2 2 .

% 5 7 2 .

% 5 7 .

% 6 0 1 .

% 4 5 1 .

% 6 7 1 .

% 3 8 1 .

% 7 8 1 .

% 4 5 1 .

% 2 2 1 .

 % 5 5 8 .

% 3 1 8 .

% 0 9 7 .

% 3 8 7 .

% 4 8 7 .

% 4 0 8 .

% 0 0 8 .

% 0 0 9 .

% 8 8 7 .

% 9 8 6 .

% 0 9 6 .

% 8 5 6 .

% 6 7 7 .

% 5 2 7 .

% 5 2 9 .

% 4 9 8 .

% 6 4 8 .

% 4 2 8 .

% 7 1 8 .

% 3 1 8 .


% 6 4 8 .

% 8 7 8 .

0 0 1 3 1 2 7 7 1 0 8 1 2 9 1 9 8 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 0 3 5 5 3 4 7 4 0 6 4 2 0 4 8 4 3 1 5 0 1 , .

% 0 0 0 1 9 6 0 2 , , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 5 1 1 5 1 8 8 2 8 0 3 2 1 3 7 8 1 .

% 0 0 0 1 1 6 2 1 , .

% 0 0 0 1 .

% 0 0 0 1 7 2 9 3 5 .


% 0 0 0 1 6 0 0 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 5 9 9 2 7 9 5 8 7 .

% 0 0 0 1 4 2 3 4 , % 7 6 1 .

% 7 2 1 .

% 4 5 1 .

% 9 3 1 .

% 7 4 1 .

% 2 5 1 .

% 5 4 1 .

% 7 6 .

% 3 1 1 .

% 5 2 1 .

% 7 2 1 .

% 4 5 1 .

% 8 2 1 .

% 1 3 1 .

% 0 0 .

% 5 8 .

% 9 9 .

% 8 9 .

% 8 8 .

% 5 8 .

% 2 9 .

.

% 0 0 0 1 4 0 1 % 6 0 1 .

 % 3 3 8 .

% 3 7 8 .

% 6 4 8 .


% 1 6 8 .

% 3 5 8 .

% 8 4 8 .

% 5 5 8 .

% 3 3 9 .

% 7 8 8 .

% 5 7 8 .

% 3 7 8 .

% 6 4 8 .

% 2 7 8 .

% 9 6 8 .

.

% 0 0 0 1 % 5 1 9 .

% 1 0 9 .

% 2 0 9 .

% 2 1 9 .

% 5 1 9 .

% 8 0 9 .

% 4 9 8 .
5 2 0 1 3 1 0 4 6 9 3 3 4 3 5 9 2 0 7 7 1 , 4 1 4 3 1 2 5 2 9 6 2 4 6 2 3 6 1 6 9 0 1 , 7 2 3 9 4 6 0 9 7 9 8 6 8 8 8 1 7 3 9 7 2 9 3 , s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T a u r e S a w e R l a r t n e C s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x u v e l i a T s r y 9 1 ≤ s r y 0 1 ≥ x l a t o T General Table & Descriptive Analysis Report 93 93 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C .
% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 5 3 5 2 , 3 9 4 2 , 4 7 1 2 , 5 3 0 2 , 3 5 7 1 , .

% 0 0 0 1 0 7 5 1 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 2 9 2 5 4 4 1 4 1 1 3 7 9 2 3 5 2 .

% 0 0 0 1 9 1 8 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 6 8 5 4 2 0 1 3 9 6 2 0 3 3 1 0 3 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 8 8 5 6 3 2 7 3 .

% 0 0 0 1 1 4 5 1 , % 7 0 2 .

% 9 5 2 .

% 9 6 2 .

% 4 7 2 .


% 5 0 2 .

% 7 3 2 .

% 3 4 .

% 3 5 .

% 1 3 .

% 2 4 .

% 4 6 .

% 4 2 .

% 3 4 .

% 5 3 .

% 1 6 .

% 5 4 .

% 6 5 .

% 2 5 .

% 3 5 .

% 2 5 .

% 7 5 .

% 3 6 .

% 9 2 1 .

4 2 5 6 4 6 4 8 5 7 5 5 9 5 3 1 4 7 2 , % 3 9 7 .

% 1 4 7 .

% 1 3 7 .

% 6 2 7 .

% 5 9 7 .

% 3 6 7 .

% 7 5 9 .

% 7 4 9 .

% 9 6 9 .

% 8 5 9 .

% 6 3 9 .

% 6 7 9 .

% 7 5 9 .

% 5 6 9 .

% 9 3 9 .

% 5 5 9 .

% 4 4 9 .

% 8 4 9 .


% 7 4 9 .

% 8 4 9 .

% 3 4 9 .

% 7 3 9 .

% 1 7 8 .

1 1 0 2 , 7 4 8 1 , 0 9 5 1 , 8 7 4 1 , 4 9 3 1 , 9 2 8 8 , 8 8 8 2 4 1 0 4 8 9 2 8 7 2 7 4 2 0 4 7 1 , 3 8 0 3 2 6 9 2 4 5 2 3 1 3 5 8 2 3 8 2 4 3 4 2 3 1 6 4 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 2 6 5 1 , 2 2 7 2 , 5 1 6 2 , 7 1 5 2 , 2 7 9 1 , .

% 0 0 0 1 2 9 4 1 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 .

% .

% 0 0 0 1 3 .

% 0 0 0 1 .

% 0 0 0 1 3 2 1 9 3 2 % 1 1 1 .

% 1 2 1 .

% 2 2 1 .

% 6 2 1 .

% 8 1 1 .

% 0 2 1 .

% 0 0 .

% 3 2 .

% 7 4 .

% 1 3 .

% 0 0 .

% 7 2 .

% 6 2 .

% 0 0 .

% 7 4 1 .

% 5 5 .

% 5 3 .

% 2 5 .

% 1 2 .

% 5 5 .

% 0 0 .

% 6 0 1 .

% 7 6 1 .


4 7 1 0 3 3 8 1 3 6 1 3 3 3 2 2 8 3 1 , 0 2 8 4 0 2 6 1 0 1 1 8 5 7 2 3 3 0 3 1 0 4 % 9 8 8 .

% 9 7 8 .

% 8 7 8 .

% 4 7 8 .

% 2 8 8 .

% 0 8 8 .

.

% 0 0 0 1 % 7 7 9 .

% 3 5 9 .

% 9 6 9 .

.

% 0 0 0 1 % 3 7 9 .

% 4 7 9 .

.

% 0 0 0 1 % 3 5 8 .

% 5 4 9 .

% 5 6 9 .

% 8 4 9 .

% 9 7 9 .

% 5 4 9 .
8 8 3 1 , 2 9 3 2 , 7 9 2 2 , 1 0 2 2 , 9 3 7 1 , 0 1 1 0 1 , s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T u a L s r y 9 1 ≤ s r y 0 1 ≥ x u v a d a K n r e t s a E % 4 9 8 .
% 3 3 8 .

0 1 1 9 9 1 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x .

% 0 0 0 1 3 s r y 9 1 ≤ s r y 0 1 ≥ / n o i s i v i D / x e S / p u o r G - : 7 1 .
1 e l b a T General Table & Descriptive Analysis Report 94 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 8 2 3 4 5 3 0 1 3 .

% 0 0 0 1 7 1 8 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 7 6 3 3 5 6 5 5 6 1 6 8 7 2 3 7 2 8 9 0 1 , 9 4 1 1 , .

% 0 0 0 1 4 6 9 .

% 0 0 0 1 6 4 0 1 , .


% 0 0 0 1 5 2 9 .

% 0 0 0 1 5 5 4 5 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 0 8 1 6 1 9 6 1 2 1 , 8 2 0 1 , 8 1 1 1 , .

% 0 0 0 1 3 9 8 .

% 0 0 0 1 1 5 3 5 , % 3 1 1 .

% 3 3 1 .

% 3 2 1 .

% 9 0 1 .

% 0 0 .

% 1 1 1 .

% 2 3 1 .

% 1 6 1 .

% 8 0 1 .

% 5 1 1 .

% 2 2 1 .

% 4 4 .

% 0 6 .

% 1 7 .

% 7 7 .

% 6 8 .

% 2 7 .

% 2 7 .

% 4 9 .

% 9 3 1 .

% 3 6 1 .

% 9 9 1 .

% 1 1 2 .

% 3 0 2 .

% 0 8 1 .


 % 7 8 8 .

% 7 6 8 .

% 7 7 8 .

% 1 9 8 .

.

% 0 0 0 1 % 9 8 8 .

% 8 6 8 .

% 9 3 8 .

% 2 9 8 .

% 5 8 8 .

% 8 7 8 .

% 6 5 9 .

% 0 4 9 .

% 9 2 9 .

% 3 2 9 .

% 4 1 9 .

% 8 2 9 .

% 8 2 9 .

% 6 0 9 .

% 1 6 8 .

% 7 3 8 .

% 1 0 8 .

% 9 8 7 .

% 7 9 7 .

% 0 2 8 .


1 9 2 7 0 3 2 7 2 9 1 6 1 , 7 2 3 6 4 7 4 8 5 4 5 4 4 2 1 6 2 2 3 0 1 , 7 6 0 1 , 0 9 8 6 5 9 8 5 8 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% , .
% 0 0 0 1 0 5 2 2 , 3 6 1 9 8 7 8 1 0 1 , 3 2 8 2 8 8 2 1 7 7 8 3 4 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 6 4 2 9 7 4 5 7 1 , 2 5 8 1 , 2 4 0 2 , 4 7 3 1 , 0 6 8 7 , % 4 2 1 .

% 2 0 1 .

% 9 8 .

% 3 2 1 .

% 0 0 .

% 1 1 1 .

% 8 4 1 .

% 3 6 .

% 8 4 .

% 8 3 1 .

% 1 9 .

% 0 0 .

% 2 9 .

% 3 0 1 .

% 1 7 .

% 6 5 .

% 8 5 .

% 6 7 .

% 3 4 .

% 5 8 .

% 3 8 .

% 0 8 .

% 6 9 .

% 5 1 1 .

% 1 9 .


 % 6 7 8 .

% 8 9 8 .

% 1 1 9 .

% 7 7 8 .

.

% 0 0 0 1 % 9 8 8 .

% 2 5 8 .

% 8 3 9 .

% 2 5 9 .

% 2 6 8 .

% 9 0 9 .

.

% 0 0 0 1 % 8 0 9 .

% 7 9 8 .

% 9 2 9 .

% 4 4 9 .

% 2 4 9 .

% 4 2 9 .

% 7 5 9 .

% 5 1 9 .

% 7 1 9 .

% 0 2 9 .

% 4 0 9 .

% 5 8 8 .

% 9 0 9 .
, 9 0 6 1 , 3 0 7 1 , 5 4 8 1 , 6 1 2 1 , 2 4 1 7 , s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x a m u t o R n r e t s a E s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T l a t o T a B n r e t s e W General Table & Descriptive Analysis Report 95 95 / n o i s i v i D / x e S / p u o r G - : 7 1 .
% t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % / n o i s i v i D / x e S / p u o r G - : 7 1 .

1 e l b a T .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 4 2 1 4 8 6 9 4 7 8 9 6 6 0 7 1 1 6 2 7 5 3 , 3 2 1 2 7 5 0 8 5 9 3 4 9 8 3 9 1 3 2 2 4 2 , 7 2 4 2 7 1 2 , 5 4 5 2 , 5 6 1 2 , 3 1 2 2 , 3 2 8 1 , 5 4 3 1 1 , % 3 7 .

% 3 6 .

% 8 0 1 .

% 9 8 .

% 3 5 1 .

% 1 1 2 .

% 1 2 1 .

% 7 5 .

% 3 3 1 .

% 2 7 1 .

% 0 8 1 .

% 4 3 2 .

% 8 4 2 .

% 8 7 1 .


% 7 7 .

% 3 1 1 .

% 9 4 1 .

% 0 6 1 .

% 7 9 1 .

% 3 1 2 .

% 1 6 1 .

 , % 7 2 9 .

% 7 3 9 .

% 2 9 8 .

% 1 1 9 .

% 7 4 8 .

% 9 8 7 .

% 9 7 8 .

% 3 4 9 .

% 7 6 8 .

% 8 2 8 .

% 0 2 8 .

% 6 6 7 .

% 2 5 7 .

% 2 2 8 .

% 3 2 9 .

% 7 8 8 .

% 1 5 8 .

% 0 4 8 .

% 3 0 8 .

% 7 8 7 .

% 9 3 8 .

5 1 1 1 4 6 8 6 6 6 3 6 8 9 5 2 8 4 .

% 0 0 0 1 .


% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 0 4 1 3 , .

% 0 0 0 1 6 1 1 6 9 4 0 8 4 0 6 3 8 9 2 0 4 2 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 0 2 0 3 4 3 3 9 7 5 0 1 , 3 8 0 1 , 1 2 7 4 4 2 4 , 7 1 6 4 2 4 0 5 6 1 5 0 3 5 5 5 4 0 9 9 1 , .

% 0 0 0 1 8 6 2 2 , 6 2 9 1 , 6 6 1 2 , 9 1 8 1 , 8 7 7 1 , 4 3 4 1 , 7 1 5 9 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 4 9 3 .

% 0 0 0 1 8 6 4 1 , 1 9 1 3 , 5 2 4 3 , 5 5 6 3 , 0 5 5 2 , 3 8 2 7 3 4 1 , % 0 0 .

% 3 5 .

% 8 4 .

% 0 7 .

% 8 7 .

% 0 8 .

% 7 6 .

% 9 5 .

% 9 6 .

% 9 8 .

% 2 7 .

% 9 8 .

% 9 9 .

% 5 8 .

% 6 3 .

% 3 7 .

% 4 7 .

% 6 7 .

% 0 9 .

% 2 0 1 .

% 3 8 .

 , % 7 4 9 .

% 2 5 9 .

% 0 3 9 .

% 2 2 9 .

% 0 2 9 .

% 3 3 9 .

% 1 4 9 .


% 1 3 9 .

% 1 1 9 .

% 8 2 9 .

% 1 1 9 .

% 1 0 9 .

% 5 1 9 .

% 4 6 9 .

% 7 2 9 .

% 6 2 9 .

% 4 2 9 .

% 0 1 9 .

% 8 9 8 .

% 7 1 9 .
7 0 4 8 8 8 3 8 9 8 9 9 3 6 6 9 5 9 3 , s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T 1 6 3 1 , 6 5 9 2 , 5 6 1 3 , 6 2 3 3 , 9 8 2 2 , 7 7 1 3 1 , s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T 9 2 2 9 5 4 9 7 4 3 8 4 0 1 4 6 7 0 2 , s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T 0 8 s r y 9 1 ≤ s r y 0 1 ≥ x l a t o T 6 1 s r y 9 1 ≤ s r y 0 1 ≥ x a R .
% 0 0 0 1 0 2 s r y 9 1 ≤ s r y 0 1 ≥ x / a g o r d a N a s o v a N n r e t s e W General Table & Descriptive Analysis Report 96 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 5 6 1 3 1 6 4 9 4 3 8 3 8 1 3 9 1 2 .

% 0 0 0 1 2 9 3 .

% 0 0 0 1 2 9 1 2 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .


% 0 0 0 1 4 2 7 1 , 2 1 3 1 , 9 6 9 5 4 8 4 1 6 .

% 0 0 0 1 6 5 8 5 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 8 3 2 8 5 8 7 7 8 7 7 8 5 2 8 1 5 5 .

% 0 0 0 1 6 2 2 4 , .

% 0 0 0 1 5 9 7 .

% 0 0 0 1 .

% 0 0 0 1 5 9 1 3 , 3 8 6 2 , % 7 9 .

% 4 3 1 .

% 6 7 1 .

% 9 1 2 .

% 1 0 2 .

% 5 0 2 .

% 2 7 1 .

% 4 7 .

% 0 0 1 .

% 9 3 1 .

% 4 4 1 .

% 7 2 1 .

% 0 3 1 .

% 1 2 1 .

% 6 2 1 .

% 7 2 2 .

% 5 5 2 .


% 2 1 3 .

% 0 1 3 .

% 7 8 2 .

% 9 6 2 .

% 4 9 .

% 1 4 1 .

% 4 8 1 .

 , % 3 0 9 .

% 6 6 8 .

% 4 2 8 .

% 1 8 7 .

% 9 9 7 .

% 5 9 7 .

% 8 2 8 .

% 6 2 9 .

% 0 0 9 .

% 1 6 8 .

% 6 5 8 .

% 3 7 8 .

% 0 7 8 .

% 9 7 8 .

% 4 7 8 .

% 3 7 7 .

% 5 4 7 .

% 8 8 6 .

% 0 9 6 .

% 3 1 7 .

% 1 3 7 .

% 6 0 9 .

% 9 5 8 .

% 6 1 8 .


9 4 1 1 3 5 7 0 4 9 9 2 4 5 2 4 7 1 4 1 8 1 , 3 6 3 2 5 5 1 , 0 3 1 1 , 9 2 8 8 3 7 4 3 5 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 4 3 5 9 3 9 5 5 2 2 5 4 5 4 6 3 3 .

% 0 0 0 1 0 0 3 2 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 8 6 5 9 9 3 7 3 1 , 1 4 3 1 , 3 4 0 1 , .

% 0 0 0 1 8 3 7 6 4 1 5 , .

% 0 0 0 1 8 5 5 5 , 8 0 2 3 6 6 3 5 6 3 0 6 9 6 5 3 9 3 9 8 0 3 , 0 2 7 6 4 7 2 , 0 9 1 2 , .

% 0 0 0 1 .
% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 6 5 1 9 7 3 4 3 1 , 6 5 7 1 , 6 8 7 1 , 7 4 0 1 , 9 7 7 6 , .

% 0 0 0 1 8 5 1 .

% 0 0 0 1 .

% 0 0 0 1 1 8 1 2 , 5 7 2 3 , % 8 8 .

% 9 5 1 .

% 0 2 1 .

% 8 2 1 .

% 3 2 1 .

% 0 1 1 .

% 7 2 1 .

% 9 5 .

% 9 2 1 .

% 2 3 1 .

% 6 1 1 .

% 5 0 1 .

% 3 2 1 .

% 0 2 1 .

% 1 6 1 .

% 3 4 1 .

% 3 4 1 .

% 8 5 1 .

% 1 6 1 .

% 7 8 1 .

% 9 5 1 .

% 1 0 1 .

% 9 3 1 .

% 4 3 1 .


 , % 2 1 9 .

% 1 4 8 .

% 0 8 8 .

% 2 7 8 .

% 7 7 8 .

% 0 9 8 .

% 3 7 8 .

% 1 4 9 .

% 1 7 8 .

% 8 6 8 .

% 4 8 8 .

% 5 9 8 .

% 7 7 8 .

% 0 8 8 .

% 9 3 8 .

% 7 5 8 .

% 7 5 8 .

% 2 4 8 .

% 9 3 8 .

% 3 1 8 .

% 1 4 8 .

% 9 9 8 .

% 1 6 8 .

% 6 6 8 .
1 3 2 3 3 2 9 4 5 5 4 8 9 3 9 9 2 4 6 7 6 8 7 0 0 2 , 2 9 1 1 , 5 8 1 1 , 4 3 9 7 4 6 9 8 8 4 , 7 4 8 7 6 1 5 1 1 , 9 7 4 1 , 8 9 4 1 , 1 5 8 4 0 7 5 , 2 4 1 7 7 8 1 , 5 3 8 2 , s r y 9 1 ≤ s r y 0 1 ≥ x e v o r d u a k a C s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x a t a u c a M s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > / n o i s i v i D / x e S / p u o r G - : 7 1 .
1 e l b a T General Table & Descriptive Analysis Report 97 97 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 9 2 2 2 , 8 8 9 1 , 4 8 3 1 , .

% 0 0 0 1 4 7 2 2 1 , % 3 2 2 .

% 5 1 2 .

% 4 0 2 .

% 1 8 1 .

8 9 4 7 2 4 3 8 2 5 2 2 2 , % 7 7 7 .

% 5 8 7 .

% 6 9 7 .

% 9 1 8 .

1 3 7 1 , 1 6 5 1 , 1 0 1 1 , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 9 1 6 3 , 3 8 2 3 , 1 2 1 2 , 9 4 0 0 1 , .
% 0 0 0 1 7 3 6 4 1 , % 8 3 1 .

% 8 3 1 .

% 3 5 1 .

% 9 3 1 .

0 0 5 3 5 4 4 2 3 7 3 0 2 , % 2 6 8 .

% 2 6 8 .

% 7 4 8 .

% 1 6 8 .


e l a M t n u o C 9 1 1 3 , 0 3 8 2 , 7 9 7 1 , 0 0 6 2 1 , s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > / n o i s i v i D / x e S / p u o r G - : 7 1 .

1 e l b a T t I .
1 e l b a T t I .

 fi .

e l b a T e Th .

s r e m r a f e l a m e f .

f o % 0 0 6 r o f t n u o c c a , .
f o % 9 6 4 r o f d e t n u o c c a , , n i y t i l i b i s s e c c a o n e Th .

e v a s o t h g u o n e .

e v a h t o n d i d % 3 5 2 s a e r e h w y t i r o i r p a t o n s i t i , s r e m r a f .

% .
s n o s a e r r e h t o d a h % % 1 1 1 .

 % 6 6 2 .

, % 8 5 6 .

 , .
z i v s e i r o g e t a c e h t h t o b r o f t a h t .

n o i s u l c n i l a i c n a n fi , s u Th .

y l e v i t c e p s e r % 1 5 2 .

, % 1 2 6 .

 .
1 General Table & Descriptive Analysis Report 98 r e h t O e s e h t - ’ / n o i s i v i D / x e S / p u o r G - e g A / : 8 1 .
- 9 7 2 7 2 8 1 3 4 8 - 1 5 6 6 - 8 1 - - 1 2 1 1 5 - - 2 1 7 4 5 5 6 5 5 4 7 3 2 5 2 1 9 4 2 1 5 1 1 1 2 5 - 3 2 5 1 - - 3 1 4 3 2 - - 3 1 1 0 1 9 2 1 9 8 9 4 - , 9 0 9 1 , 3 5 4 7 4 5 2 2 3 0 2 2 7 1 - 2 1 5 6 6 5 4 3 4 5 2 2 6 4 e l a M 2 3 8 1 , 0 6 7 1 , 9 1 5 1 , 7 1 5 1 , 1 9 2 1 , 1 8 3 8 , , 9 2 0 1 , 8 8 9 5 3 6 6 2 7 4 , , 8 2 9 4 , 4 3 5 4 , 9 3 7 3 , 4 7 4 3 , 6 8 8 2 , 7 8 7 0 2 , 9 8 6 5 4 3 3 4 4 7 3 3 1 3 7 9 2 2 6 9 1 , 4 3 3 6 1 2 2 1 4 8 1 8 0 9 4 7 5 9 6 7 2 1 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x i s o m a N s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x a w e R s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T l a t o T i j i F s r y 9 1 ≤ s r y 0 1 ≥ x i r i s a t i a N l a r t n e C General Table & Descriptive Analysis Report 99 99 - ’ / n o i s i v i D / x e S / p u o r G - e g A / s
: 8 1 .
1 e l b a T - 2 - - 2 - 1 1 2 1 - 5 - - 1 - 1 - 2 - 2 8 2 1 9 1 2 3 2 2 6 1 6 1 - 1 4 - 2 - 7 1 3 2 4 2 1 3 1 5 8 1 4 1 3 2 6 2 3 1 9 9 - 1 1 - 2 - 2 4 3 1 1 1 1 - 1 4 4 5 - - , 9 7 9 1 , , 8 7 3 1 , 6 7 2 1 , 8 8 0 1 , 0 2 0 1 , 1 5 9 3 4 0 6 , s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T a u r e S a w e R l a r t n e C s r y 9 1 ≤ s r y 0 1 ≥ x u v e l i a T s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T l a t o T General Table & Descriptive Analysis Report 100 - ’ / n o i s i v i D / x e S / p u o r G - e g A / : 8 1 .
1 e l b a T - - - - - - - - - - - - - - - - - - - - - - - 1 - - - - - - - - - - - - 2 2 - - 2 1 - 2 5 - - 1 1 6 1 0 1 1 1 3 1 6 7 5 1 4 6 7 0 1 6 4 3 - 6 3 1 9 5 1 3 1 6 5 - - 3 1 - 1 - 5 1 6 1 1 1 3 3 1 - 4 8 6 9 9 6 3 - - - - - 2 3 6 1 0 2 6 0 1 6 5 1 1 , s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T u a L s r y 9 1 ≤ s r y 0 1 ≥ x i t i v i a m o L s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 1 ≤ s r y 0 1 ≥ x a m u t o R s r y 9 1 ≤ s r y 0 1 ≥ x u v a d a K n r e t s a E General Table & Descriptive Analysis Report 101 101 - ’ / n o i s i v i D / x e S / p u o r G - e g A / : 8 1 .
1 e l b a T - - - 1 - - 1 - - - 1 - 1 3 4 1 - 9 - - - - 1 1 2 - 2 - - 3 - - 3 3 - 4 0 1 - 2 6 6 3 5 2 2 - , - 4 4 5 8 7 8 2 - - , 6 3 - , 2 9 5 2 4 7 3 5 4 0 4 6 0 4 4 1 3 8 7 1 2 , 9 7 6 8 3 4 1 4 6 0 4 6 4 3 9 9 2 6 7 0 3 9 1 , s r y 9 4 ≤ s r y 9 3 > x a m u t o R n r e t s a E s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T / ≤ s r y 0 1 ≥ x a R General Table & Descriptive Analysis Report 102 - ’ / n o i s i v i D / x e S / p u o r G - e g A / : 8 1 .
1 e l b a T - - 1 1 - 2 - 1 3 5 3 1 3 1 - - - - - - - - 2 3 3 - - - 1 - 1 3 1 4 1 1 2 1 6 1 1 5 4 - 2 1 1 - - 4 - - , , , 3 3 1 1 , 1 4 2 1 , 0 2 0 1 , 7 3 9 3 6 7 1 4 3 5 , 7 0 1 4 5 3 6 6 2 7 9 1 9 5 1 3 1 1 6 9 1 1 , 4 5 2 0 7 0 1 , 4 9 7 5 9 5 6 3 5 s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 1 ≤ s r y 0 1 ≥ x e v o r d u a k a C General Table & Descriptive Analysis Report 103 103 - 8 - 4 2 1 7 6 1 0 3 - - , 8
, 5 6 5 1 , 9 5 3 e l a M 8 0 6 3 , 0 5 1 9 5 4 5 3 4 0 9 3 5 5 3 9 5 2 1 1 5 8 4 0 2 , 3 8 8 1 , 5 9 4 1 , 2 8 1 1 , 0 5 0 1 , 1 3 7 2 5 8 6 , s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T l a t o T l a t o T s r y 9 1 ≤ s r y 0 1 ≥ x a t a u c a M s r y 9 5 > x e v o r d u a k a C n r e h t r o N r e h t O e s e h t - ’ / n o i s i v i D / x e S / p u o r G - e g A / : 8 1 .
1 e l b a T General Table & Descriptive Analysis Report 104 1.19 Farmers with Mobile Phones Figure 1.

19.1 and Table 1.19 presents very important information on farmers’ access to mobile phones.

It is found that out of a total of 83,395, 63.3% (52,769) of farmers had mobile phone.

In this regard though, the male farmers were better placed at 64.8% as compared to female farmers at 54.5%.
Regarding to the access to mobile for different age-group farmers, highest proportion of 72.68% was observed for the age-group x>49yrs≤59yrs (50-59 years) followed by 70.19% for x>39yrs≤49yrs (40-49 years), 68.91% for x>59yrs (60 years and above), 63.31% for x>29yrs≤39yr (30-39 years), 45.40% for x>19yrs≤29yrs (20-29 years) and 22.93% for farmers aged x≥10yrs≤19yrs (10-19 years).

In Central, Eastern, Western, Northern regions, 60.09%, 55.02%, 68.25%, 63.62% farmers respectively had mobile phones.
Figure 1.19.1: Distribution of Farmers With and Without Mobile Phones by Sex General Table & Descriptive Analysis Report 105 105 % % 4 2 1 .

% 6 7 8 .

5 2 5 6 , 4 4 2 6 4 , % 4 2 1 .

% 6 7 8 .

.

% 0 0 0 1 9 6 7 2 5 , .

% 0 0 0 1 % 0 7 1 .

% 0 3 8 .

.

% 0 0 0 1 % 3 6 1 .

% 7 3 8 .

.

% 0 0 0 1 % 5 6 1 .

% 5 3 8 .

.

% 0 0 0 1 % 4 7 1 .

% 6 2 8 .

.

% 0 0 0 1 % 1 0 1 .

% 9 9 8 .

.

% 0 0 0 1 % 2 4 1 .

% 8 5 8 .


9 8 6 9 6 3 3 , 8 5 0 4 , 8 0 1 6 5 5 4 6 6 8 6 3 0 6 8 1 , 8 2 2 2 , 2 5 2 6 9 1 1 , 8 4 4 1 , 4 5 5 6 0 9 4 , 0 6 4 5 , 1 7 9 1 , 7 8 8 1 1 , % 1 3 1 .

% 9 6 8 .

.

% 0 0 0 1 % 1 9 .

% 9 0 9 .

.

% 0 0 0 1 % 2 6 1 .

% 8 3 8 .

.

% 0 0 0 1 % 5 1 1 .

% 5 8 8 .

.

% 0 0 0 1 % 3 0 1 .

% 7 9 8 .

.

% 0 0 0 1 % 1 2 1 .

% 9 7 8 .

.

% 0 0 0 1 8 5 8 3 1 , .

% 0 0 0 1 % 7 2 .

% 3 7 9 .

.

% 0 0 0 1 % 7 3 .

% 3 6 9 .

.


% 0 0 0 1 7 3 7 4 9 3 3 1 , 6 7 3 1 , 4 2 2 1 , 1 7 2 1 , % 3 1 .

% 7 8 9 .

.

% 0 0 0 1 % 4 2 .

% 6 7 9 .

.

% 0 0 0 1 4 9 0 1 , 3 6 7 7 , 7 5 8 8 , % 5 2 1 .

% 5 7 8 .

2 6 5 1 , 7 6 9 0 1 , % 5 2 1 .

% 5 7 8 .

8 5 5 1 , 7 7 8 0 1 , % 4 2 1 .

% 6 7 8 .

6 6 4 1 , % 1 2 1 .

4 3 3 0 1 , % 9 7 8 .

.

% 0 0 0 1 9 2 5 2 1 , .

% 0 0 0 1 5 3 4 2 1 , .

% 0 0 0 1 0 0 8 1 1 , .


% 0 0 0 1 6 9 7 4 9 7 5 , 0 9 5 6 , , 3 4 3 2 , 3 1 2 2 4 2 2 6 8 4 2 4 5 2 % 8 6 1 .

% 2 3 8 .

.

% 0 0 0 1 % 9 5 1 .

% 1 4 8 .

.

% 0 0 0 1 % 1 7 1 .

% 9 2 8 .

.

% 0 0 0 1 % 8 8 1 .

% 2 1 8 .

.

% 0 0 0 1 % 6 0 1 .

% 4 9 8 .

.

% 0 0 0 1 % 5 4 1 .

% 5 5 8 .

.

% 0 0 0 1 % 4 2 .

% 6 7 9 .

.

% 0 0 0 1 % 7 3 .

% 3 6 9 .

.


% , 9 9 2 1 , 3 5 4 1 8 6 2 , 4 3 1 3 , 7 8 8 2 5 9 2 2 1 1 1 3 3 2 3 % 3 9 1 .

% 7 0 8 .

.

% 0 0 0 1 % 7 6 1 .

% 3 3 8 .

.

% 0 0 0 1 % 1 6 1 .

% 9 3 8 .

.

% 0 0 0 1 % 2 9 1 .

% 8 0 8 .

.

% 0 0 0 1 % 5 0 1 .

% 5 9 8 .

.

% 0 0 0 1 % 2 5 1 .

% 8 4 8 .

.

% 0 0 0 1 % 8 2 .

% 2 7 9 .

.

% 0 0 0 1 % 3 3 .

% 7 6 9 .

.


% , 4 4 2 1 , 9 7 4 1 8 6 2 , 0 6 1 3 , 9 1 1 3 0 2 3 9 5 6 2 4 7 2 % 8 6 1 .

% 2 3 8 .

.

% 0 0 0 1 % 7 9 1 .

% 3 0 8 .

.

% 0 0 0 1 % 4 7 1 .

% 6 2 8 .

.

% 0 0 0 1 % 2 8 1 .

% 8 1 8 .

.

% 0 0 0 1 % 0 1 1 .

% 0 9 8 .

.

% 0 0 0 1 % 0 5 1 .

% 0 5 8 .

.

% 0 0 0 1 % 3 3 .

% 7 6 9 .

.

% 0 0 0 1 % 8 3 .

% 2 6 9 .

.


% , 2 0 2 1 , 9 7 4 4 1 7 2 , 3 9 1 3 , 1 1 7 2 3 8 3 3 1 1 0 8 2 1 9 2 % 5 8 1 .

% 5 1 8 .

.

% 0 0 0 1 % 4 4 1 .

% 6 5 8 .

.

% 0 0 0 1 % 2 5 1 .

% 8 4 8 .

.

% 0 0 0 1 % 8 8 1 .

% 2 1 8 .

.

% 0 0 0 1 % 7 7 .

% 3 2 9 .

.

% 0 0 0 1 % 8 3 1 .

% 2 6 8 .

.

% 0 0 0 1 % 7 3 .

% 3 6 9 .

.

% 0 0 0 1 % 5 7 .

% 5 2 9 .

.


% , 3 5 8 1 , 7 4 8 1 1 9 1 9 1 1 1 0 2 1 % 8 8 .

% 2 1 9 .

.

% 0 0 0 1 % 7 6 1 .

% 3 3 8 .

.

% 0 0 0 1 % 0 0 5 .

% 0 0 5 .

.

% 0 0 0 1 % 0 9 1 .

% 0 1 8 .

.

% 0 0 0 1 % 4 7 .

% 6 2 9 .

.

% 0 0 0 1 % 8 1 .

% 2 8 9 .

.

% 0 0 0 1 % 4 1 1 .

% 6 8 8 .

.

% 0 0 0 1 % 0 0 .

.

% 0 0 0 1 .

% 0 0 0 1 % 0 0 .

.

% 0 0 0 1 .
% - 8 8 - % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x x e S e c n i v o r P n o i s i v i D e c n i v o r P / n o i s i v i D / p u o r G e g A / : 9 1 .
1 e l b a T General Table & Descriptive Analysis Report 106 % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x x e S e c n i v o r P n o i s i v i D e c n i v o r P / n o i s i v i D / p u o r G e g A / : 9 1 .

1 e l b a T % 3 7 .

% 7 2 9 .

.


% 0 0 0 1 % 3 0 1 .

% 7 9 8 .

.

% 0 0 0 1 % 9 4 .

% 1 5 9 .

.

% 0 0 0 1 % 8 0 1 .

% 2 9 8 .

.

% 0 0 0 1 % 0 8 1 .

% 0 2 8 .

.

% 0 0 0 1 % 8 0 1 .

% 2 9 8 .

.

% 0 0 0 1 % 2 4 1 .

% 8 5 8 .

5 9 5 1 2 1 , 0 1 3 1 , 9 2 3 5 2 2 8 2 8 0 2 1 3 0 4 , 9 3 2 4 , 1 9 2 4 0 4 2 , 5 9 6 2 , 0 4 4 1 , 2 4 5 6 , 2 8 9 7 , 4 9 6 0 5 7 5 , 4 4 4 6 , 5 2 4 2 , 6 9 6 4 1 , % 2 7 .

% 8 2 9 .

.

% 0 0 0 1 % 0 0 1 .

% 0 0 9 .

.

% 0 0 0 1 % 9 3 .

% 1 6 9 .

.


% 0 0 0 1 % 7 9 .

% 3 0 9 .

.

% 0 0 0 1 % 1 8 1 .

% 9 1 8 .

.

% 0 0 0 1 % 6 0 1 .

% 4 9 8 .

.

% 0 0 0 1 % 1 4 1 .

% 9 5 8 .

.

% 0 0 0 1 1 2 1 7 1 , .

% 0 0 0 1 % 5 2 1 .

% 5 7 8 .

.

% 0 0 0 1 9 4 1 1 , 7 5 0 8 , 6 0 2 9 , % 7 3 1 .

% 3 6 8 .

.

% , 9 2 2 1 , 7 9 1 2 8 8 1 9 8 5 3 2 8 1 2 , 0 4 5 2 , 2 3 2 1 6 4 1 , 3 9 6 1 , % 6 3 .

% 4 6 9 .

.

% 0 0 0 1 % 7 4 .


% 3 5 9 .

.

% 0 0 0 1 % 3 3 .

% 7 6 9 .

.

% 0 0 0 1 % 9 7 .

% 1 2 9 .

.

% 0 0 0 1 % 5 7 1 .

% 5 2 8 .

.

% 0 0 0 1 % 0 9 .

% 0 1 9 .

.

% 0 0 0 1 % 4 3 1 .

% 6 6 8 .

.

% 0 0 0 1 % 7 3 1 .

% 3 6 8 .

.

% , 8 8 0 2 , 7 1 1 5 8 1 1 , 2 0 3 1 , 6 2 5 6 0 4 3 , 2 3 9 3 , 2 3 3 9 8 0 2 , 1 2 4 2 , % 7 7 .

% 3 2 9 .

.

% 0 0 0 1 % 3 3 1 .

% 7 6 8 .

.

% 0 0 0 1 % 2 5 .

% 8 4 9 .

.


% 0 0 0 1 % 1 2 1 .

% 9 7 8 .

.

% 0 0 0 1 % 4 8 1 .

% 6 1 8 .

.

% 0 0 0 1 % 1 1 1 .

% 9 8 8 .

.

% 0 0 0 1 % 8 4 1 .

% 2 5 8 .

.

% 0 0 0 1 % 1 2 1 .

% 9 7 8 .

.

% , 9 4 0 2 , 0 7 1 0 6 3 1 , 0 3 5 1 , 4 2 6 3 8 5 3 , 7 0 2 4 , 9 5 2 6 8 8 1 , 5 4 1 2 , % 3 1 1 .

% 7 8 8 .

.

% 0 0 0 1 % 5 0 1 .

% 5 9 8 .

% 4 6 .

.


% 0 0 0 1 7 3 9 8 2 6 2 3 6 1 5 7 5 5 6 % 6 3 9 .

7 4 9 % 1 6 .

% 9 3 9 .

.

% 0 0 0 1 % 7 4 1 .

% 3 5 8 .

.

% 0 0 0 1 % 1 6 .

% 9 3 9 .

.

% 0 0 0 1 2 1 0 1 , .

% 0 0 0 1 % 8 1 1 .

% 2 8 8 .

.

% 0 0 0 1 % 3 8 1 .

% 7 1 8 .

.

% 0 0 0 1 % 0 2 1 .

% 0 8 8 .

.

% 0 0 0 1 % 7 4 1 .

% 3 5 8 .

.

% 0 0 0 1 % 9 0 1 .

% 1 9 8 .

.


% 0 0 0 1 7 7 4 7 5 1 5 6 3 9 2 5 0 3 1 , 8 9 5 1 , 7 8 1 6 6 3 1 , 3 5 5 1 , 7 5 5 5 4 2 3 , 2 0 8 3 , 8 1 2 6 7 7 1 , 4 9 9 1 , % 7 2 1 .

% 3 7 8 .

.

% 0 0 0 1 % 2 8 1 .

% 8 1 8 .

.

% 0 0 0 1 % 1 1 1 .

% 9 8 8 .

 % 0 0 .

.

% 0 0 0 1 .

% 0 0 0 1 % 0 0 .

.

% 0 0 0 1 .

% 0 0 0 1 % 0 0 .

.

% 0 0 0 1 .

% 0 0 0 1 % 3 4 .

% 7 5 9 .

.

% 0 0 0 1 % 6 2 1 .


% 4 7 8 .

.

% 0 0 0 1 % 8 6 .

% 2 3 9 .

.

% 0 0 0 1 7 6 0 1 , .

% 0 0 0 1 % 1 4 1 .

% 9 5 8 .

.

% 0 0 0 1 % 6 1 1 .

% 4 8 8 .

.

% 0 0 0 1 2 4 3 0 9 0 2 , 2 3 4 2 , 3 0 1 2 8 7 5 8 8 % 7 8 .

% 3 1 9 .

.

% 0 0 0 1 % 4 7 .

% 6 2 9 .

.
.

% 0 0 0 1 - 5 1 5 1 - 2 2 - - / a g o r d a N a s o v a N a B n r e t s e W % 5 9 .
1 1 5 % 1 3 1 .

1 3 1 % 2 1 1 .

5 5 1 % 2 7 .

4 9 % 7 7 .

8 8 % 4 7 .

9 3 % 5 9 .

4 e l a m e F General Table & Descriptive Analysis Report 107 107 % 5 0 9 .

.

% 0 0 0 1 % 9 8 .

% 1 1 9 .

.

% 0 0 0 1 % 9 0 1 .

% 1 9 8 .

0 9 8 4 , 1 0 4 5 , 1 6 2 3 8 6 2 , 4 4 9 2 , 1 2 9 1 , 0 3 6 5 1 , % 0 1 1 .

% 0 9 8 .

.

% 0 0 0 1 % 1 3 1 .

% 9 6 8 .

.

% 0 0 0 1 1 5 5 7 1 , .

% 0 0 0 1 0 6 3 8 4 3 4 5 3 2 4 4 1 8 2 , 7 3 2 3 , % 5 9 .

% 5 0 9 .

.

% 0 0 0 1 % 3 2 1 .

% 7 7 8 .

.


% 0 0 0 1 % 9 6 8 .

0 7 8 % 8 8 8 .

.

% 0 0 0 1 1 0 0 1 , .

% 0 0 0 1 3 3 2 1 , 8 8 3 1 , 3 6 3 0 6 6 6 6 0 5 5 5 2 9 3 , 5 7 4 4 , % 8 2 9 .

.

% 0 0 0 1 % 8 7 .

% 2 2 9 .

.

% 0 0 0 1 % 8 9 .

% 2 0 9 .

.

% 0 0 0 1 9 0 2 1 , 3 0 3 1 , 3 5 5 2 6 8 7 6 6 0 4 0 2 7 3 , 6 2 1 4 , % 3 2 9 .

.

% 0 0 0 1 % 9 8 .

% 1 1 9 .

.

% 0 0 0 1 % 6 9 .

% 4 0 9 .

.

% 0 0 0 1 0 5 0 1 , 8 3 1 1 , 9 5 2 0 6 1 6 6 5 6 3 8 2 4 3 , 3 9 7 3 , % 6 2 9 .

.
.

% 0 0 0 1 % 6 6 .

% 4 3 9 .

.

% 0 0 0 1 % 3 9 .

% 7 0 9 .

.

% 0 0 0 1 0 9 4 9 2 5 4 2 1 4 3 5 6 3 6 6 1 3 1 6 1 , 9 7 7 1 , % 5 0 9 .

.

% 0 0 0 1 % 5 6 .

% 5 3 9 .

.

% 0 0 0 1 % 8 7 .

% 2 2 9 .

.
% % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x x e S e c n i v o r P n o i s i v i D e c n i v o r P / n o i s i v i D / p u o r G e g A / : 9 1 .
1 e l b a T General Table & Descriptive Analysis Report 108 CHAPTER 2: AGRICULTURE HOUSEHOLD PARTICULARS General Table & Descriptive Analysis Report 109 109 Chapter 2: Agricultural Household Particulars A.

List of Tables No.

Table Number Table Name Page Number 1.

2.

3.


4 2.1 2.2 2.3 2.4 Number of Agricultural Households by Type of Dwelling/Division/ Province Number of Agricultural Households by Type of Outer Wall /Sex of Household Head/Division/Province Number of Agricultural Households by Main Source of Water Supply/ Sex of Household Head/Division/Province Number of Agricultural Households by Source of Light/Sex of Household Head/Division/Province 111 112 115 118 B.

List of Figures No.
Figure Number Name 1 2 3 4 2.1.1 2.2.1 2.3.1 2.4.1 % Distribution of the Type of Dwelling by Division % Distribution of the Type of Outer Walls by Division % Distribution of Main Source of Water Supply by Sex of Agriculture Household Head Distribution of Ag Household by Main Source of Light Page Number 111 112 114 118 General Table & Descriptive Analysis Report 110 % 8 .
1 e c r u o s r e t a w r e h t O % 6 .

2 k e e r C r o r e v i R % 1 .

2 l e o H e r o B % 6 .

 % 4 .

9 3 1 9 9 , 0 7 r e t e m t u o h t i w d e p P i % 6 .

8 2 k n a T f o o R % 1 .

6 i e p p d n a t S l a n u m m o C % 0 .


1 1 General Table & Descriptive Analysis Report 111 111 Figure 2.1.1: % Distribution of Household by Type of Dwelling C. Tables and Graphs 2.1 Type of Dwelling Table 2.1 presents distribution of agricultural households by type of dwelling units.

It may be seen from the table that 96.3% of total agricultural households had independent dwelling units and a small proportion of 3.3% were housed in buildings having two or more households.
Only a miniscule proportion of 0.4% agricultural households were housed in structures other than the two described.

Among regions, highest proportion of 98.4% agricultural households had independent dwelling units in Eastern province followed closely by Central at 97.8%, North at 97.2% and West at 94.2%.
The region with highest proportion of agricultural households housed in buildings housing two or more households was found to be Western region at 5.4% percent followed by North at 2.2%, Central at 2.1% and Eastern at 1.4%.
Table 2.1: Number of Agricultural Households by Type of Dwelling/Division/Province Division Province Number of Agricul- tural Household An independent dwelling Fiji Central Eastern Western Northern Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total A building housing two or more house- holds Others 2,345 266 81 11 87 76 119 374 19 16 40 11 86 914 469 52 1,435 56 198 196 450 4 7 9 5 2 27 - 8 1 - 9 111 6 6 123 1 74 32 107 General Table & Descriptive Analysis Report 112 Figure 2.2.1: % Distribution of Household byType of Outer Walls 2.2 Type of Outer Walls the agricultural Table 2.2 describes households by their type of outer wall and sex of the household head.
It is interesting to note that out of a total of 70,991 agricultural households, 8,445 i.e.

11.90% households were headed by females.

As regards their type of outer wall, the highest proportion of 37.32% were accounted for by households with permanent walls of tin or corrugated iron, followed by wooden walls at 34.09% concrete brick or cement at 22.19% while all the remaining categories accounted for less than 1 percent each.
The highest proportion of houses built with concrete brick or cement were found in Western division at 43.36 % followed by East at 35.18%, Central at 20.79 and North at 9.12%.
Table 2.2: Number of Agricultural Households by Type of Outer Wall /Sex of Household Head/ Division/Province Sex of Household Head Number of Agricultural Household Concrete, Brick or Cement Wooden walls Permanent walls of tin or corrugated iron Walls of tradition- al bure materials Other Walls of make- shift or impro- vised materials Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total - 7 6 - 6 81 8 89 43 6 49 9 1 10 29 3 32 11 3 14 10 6 16 102 19 121 1 - 1 - - 1 - 1 5 - 5 2 - 2 9 - General Table & Descriptive Analysis Report 113 113 Table 2.2: Number of Agricultural Households by Type of Outer Wall /Sex of Household Head/ Division/Province / a g o r d a N a R l a t o T a u B - a k a C a t a u c a M l a t o T Sex of Household Head Number of Agricultural Household Concrete, Brick or Cement Wooden walls Permanent walls of tin or corrugated iron Walls of tradition- al bure materials Other Walls of make- shift or impro- vised materials Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total a Male s o v a N Female Total Male Female Total Male Female Total Male Female Total e Male v o r d u Female Total Male Female Total Male Female Total 1,718 49 1,767
Female Total Male Female Total - 1 8 - 8 14 1 15 4 - - 1 7 1 8 1 - 1 12 2 14 103 10 113 77 6 83 1 2 3 181 18 199 5 - 5 23 1 24 25 1 26 53 2 55 - - - - - - 1 - 1 1 - 1 11 2 13 6 2 8 - - 17 4 21 - - 5 - 5 22 2 24 27 2 29 General Table & Descriptive Analysis Report 114 2.3 Main Source of Water Supply Table 2.3 and Figure 2.3.1 presents data on agricultural households by their main source of water supply.
It reveals that the highest proportion of households at 39.4% had metered water supply followed by piped without meter at 28.6%, from communal standpipe at 11.0%, Borehole at 8.6%, Roof tank at 6.1%, and Well at 1.8%.

The proportion of households having metered water supply stood highest in Central region at 47.9% followed closely by West at 46.9%, North at 29.5% and East at 13.3%.

Figure 2.3.1 shows high percentage of Metered Water Source for Female Head of Household than Male Households.
Figure 2.3.1: % Distribution of Main Source of Water Supply by Sex of Agricultural Household Head General Table & Descriptive Analysis Report 115 115 r e h t O r o r e v i R l l e W e l o h e r o B k n a t - f o o R a m o r F d e p i P d e r e t e M f o r e b m u N - / n o i s i v i D / d a e H d l o h e s u o H f o x e S / : 3 .
2 e l b a T 7 3 6 1 , 6 9 1 3 3 8 1 , - k e e r C 3 3 3 1 , 5 2 1 8 5 4 1 , - 3 7 1 1 , 9 2 1 2 0 3 1 , 5 2 2 7 2 3 2 5 8 1 9 2 - 2 6 9 2 1 8 0 1 4 3 1 7 1 1 5 1 4 1 6 5 3 5 , 8 1 7 4 7 0 6 , 9 8 7 6 9 - - 3 1 1 4 1 1 - 1 5 4 3 6 6 1 1 4 8 4 4 4 7 2 2 5 9 3 1 5 9 1 9 3 , 9 9 3 8 1 3 4 , , 0 1 1 8 7 2 1 , , 8 9 6 7 7 7 7 , , 4 3 2 9 4 9 1 , 4 7 4 0 1 7 2 3 8 1 , 3 5 9 1 , 0 8 2 0 2 , 5 9 6 1 , 5 6 1 0 6 8 1 , 0 4 7 0 7 0 1 8 5 5 2 5 1 0 7 2 7 0 4 2 5 9 5 4 4 8 1 1 , 8 6 1 2 5 3 1 , 1 8 2 4 , 0 7 4 1 5 7 4 , 0 4 0 1 , 8 2 2 2 7 3 2 , 7 2 2 4 , 9 4 9 7 2 , 6 4 5 2 6 , 5 4 4 8 , 1 9 9 0 7 , 3 7 7 8 4 1 1 2 9 1 4 1 6 1 7 5 1 6 0 9 1 , 1 9 2 7 9 1 2 , 5 8 0 1 , 1 9 1 6 7 2 1 , 6 3 4 3 , 4 4 6 0 8 0 4 , 1 4 3 7 , 0 9 2 1 , 1 3 6 8 , 1 1 2 3 0 5 2 8 1 4 , 5 8 6 4 , 1 7 0 1 , 3 0 1 4 7 1 1 , 4 0 4 2 , 6 2 3 0 3 7 2 , 4 6 6 1 , 4 7 2 8 3 9 1 , 8 4 4 6 , 4 5 0 1 , 2 0 5 7 , 9 6 7 5 1 , 0 6 2 2 , 9 2 0 8 1 , 8 1 7 1 , General Table & Descriptive Analysis Report 116 r e h t O r o r e v i R l l e W e l o h e r o B k n a t - f o o R a m o r F d e p i P d e r e t e M - i r g A f o r e b m u N - / n o i s i v i D / d a e H d l o h e s u o H f o x e S / y l p p u S r e t a W f o e c r u o
H f o x e S / : 3 .
2 e l b a T 1 4 - 4 3 2 2 5 2 - - - 3 0 1 - 0 1 - - 4 1 - - 2 2 1 3 - - - - 6 1 3 1 1 7 2 3 5 2 2 0 4 4 1 , 5 6 6 1 , 7 8 9 1 , 3 5 2 0 4 2 2 , 3 8 3 2 7 5 5 4 0 5 5 0 1 8 3 , , 8 6 0 1 , 1 3 4 5 3 6 6 4 1 6 3 1 , 3 1 1 4 7 4 1 , 1 1 2 3 3 8 2 , 7 7 1 0 1 0 3 , 4 3 5 1 , 2 9 1 6 2 7 1 , 2 5 2 1 , 5 1 2 7 6 4 1 , 9 4 4 1 , 9 1 2 8 6 6 1 , 5 3 2 4 , - , 9 1 4 1 , 9 2 2 9 , 0 4 2 2 , 0 1 5 0 5 7 2 , 3 9 4 6 9 9 8 5 3 4 5 0 1 , 5 2 0 2 , d l o h 7 6 7 1 , 3 7 6 1 , 0 3 1 3 0 8 1 , 4 4 8 1 , 7 7 1 1 2 0 2 , 1 3 3 7 4 8 7 3 6 6 5 5 , 3 0 4 9 6 9 5 , 0 9 3 2 1 , 3 2 0 2 , 3 1 4 4 1 , 4 1 1 7 , 0 7 1 1 , 4 8 2 8 , 1 4 5 3 , 3 3 5 4 7 0 4 , 5 4 0 3 2 , 6 2 7 3 , / a g o r d a N a s o v a N a R l a t o T General Table & Descriptive Analysis Report 117 117 r e h t O r o r e v i R l l e W e l o h e r o B k n a t - f o o R a m o r F d e p i P d e r e t e M - i r g A f o r e b m u N - / n o i s i v i D / d a e H d l o h e s u o H f o x e S / H
: 3 .
2 e l b a T 1 8 9 - , , 1 0 1 6 2 1 1 , 8 4 6 7 3 5 8 6 2 2 9 1 , 9 5 3 1 , 9 2 1 8 8 4 1 , 6 0 8 4 9 0 0 9 3 1 8 2 , 0 6 2 3 7 0 3 , 6 9 1 6 8 4 , 5 7 1 1 , 1 7 2 1 , 6 3 8 3 , 3 7 3 9 0 2 4 , 7 6 9 1 , 1 1 2 8 7 1 2 , 8 7 9 6 , 0 8 6 8 5 6 7 , e p i p d n a t s r e t e m l a n u m m o c t u o h t i w - , 8 7 9 4 , 7 5 1 5 , 0 0 8 7 5 9 5 , 8 6 5 2 1 , d l o h 1 7 7 6 2 , 3 2 7 2 , 7 1 2 0 4 9 2 , 0 7 0 7 , 5 0 7 5 7 7 7 , 3 7 3 8 , 4 3 1 1 , 7 0 5 9 , 6 6 1 8 1 , 6 5 0 2 , 2 2 2 0 2 , General Table & Descriptive Analysis Report 118 Figure 2.4.1 Distribution of Agricultural Household by Main Source of Light Main Source of Light Table 2.4 and Figure 2.4.1 presents data on important sources of light in agricultural households in Fiji.
It may be seen that the Electricity as the source of light in the agricultural households accounts for the highest proportion at 70.6% followed by solar power at 25.2% and Kerosene at 2.2%.

Only 2.05 percent household’s use sources other than those mentioned for light.

Electricity has been found to be most important source of light across geographical divisions.
In Central division, the households using electricity as source of light stood highest at 87.3% followed by West at 79.5%, North at 50.6% and East at 44.9%.
Table 2.4: Number of Agricultural Households by Source of Light/Sex of Household Head/ Division/Province Sex of Head of Household Number of Agricultural Households Electricity Kerosene Lamp Benzene Lamp n Province o i s i v i D Total i j i F Naitasiri Namosi Rewa Serua l a r t n e C Tailevu Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Solar power unit 16,380 1,482 17,862 Others 1,250 118 1,368 78 8 86 9 - 9 2 - 2 1 - 1 - - - 12 31 4 35 119 14 133 General Table & Descriptive Analysis Report 119 119 Table 2.4: Number of Agricultural Households by Source of Light/Sex of Household Head/ Division/Province n Province o i s i v i D Sex of Head of Household Number of Agricultural Households Electricity Kerosene Lamp Benzene Lamp Others Solar power unit Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Kadavu Lau n r e t s a E Lomaiviti Rotuma Total Ba Nadroga/ Navosa Ra Total Bua n r e t s e W n r e h t r o N Cakaudrove Male Macuata Total Female Total Male Female Total Male Female Total 10,234
263 2,309 6,623 949 7,572 8,996 1,238 10,234 11 - 11 27 - - - 2 - 2 - - 3 - 3 5 - 5 6 1 7 15 2 17 5 - 5 26 3 29 4 - - - General Table & Descriptive Analysis Report 120 CHAPTER 3: FARM LAND General Table & Descriptive Analysis Report 121 121 A.
List of Tables No.

Table Num- ber Table Name Page Number 3.1 3.2 3.3 3.4 3.5 Number of Households with Farm Land by Land Size Distribution of Household with Farm Land by Number of Farm Land Number of Household with Farm Land/Type of Land Tenure/Land Area (Ha) Farm Operated Areas by Number of Years Used/ Province 124 125 127 132 Farm Area by Division/Province/Land Use Categories 134 B.

List of Figures No.
Figure Num- ber Name Page Number 3.1.1 3.2.1 3.3.1 3.4.1 3.5.1 Percentage Distribution of Household with Farm Land by Land Size Percentage Distribution of Household with Farm Land by Number of Farm Land Parcel Percentage Distribution of Farm Area by Land Tenureship Percentage Distribution of Farm Lands by Number of Years Used Percentage Distribution of Farm Area by Land Use Type 123 125 126 132 133 General Table & Descriptive Analysis Report 122 Highlights % Distribution of Farm Land Area by Land Tenureship % Distribution of Farm Land Area by Number of Years Used % Distribution of Farm Land Area by Land Use Type General Table & Descriptive Analysis Report 123 123 C. Tables and Graphs 3.1 Number of Household with Farm Land by Land Size Table 3.1 and Figure 3.1.1 provides distribution of agricultural households by the size of agricultural land operated by them.
The table reveals that in Fiji, highest proportion of 65% households have agricultural land less than 1 Ha, followed by 21% between 1 to 3 Ha, 6% between 3 to 5 Ha, 4% between 5 to 10 Ha, 2% between 10 to 20 Ha and 1% between 20 to 50 Ha.

The remaining two size categories namely 50 to 100 Ha and 100 Ha or more account for less than half a percent households each.

Thus, the households with up to 5 Ha of agricultural land account for more than 92% of total agricultural households in the country.
Among regions, households with up to 5 Ha of agricultural land account for about 96% of total agricultural households in the Central region, over 99% in Eastern region, about 93% in Western region and more than 86% in Northern region.

Except in Northern region where 1.8% households fall in 20 – 50 Ha category, the proportion of households with agricultural land between 20 – 50 Ha, 50 – 100 Ha, 100 Ha or more is negligible in all other regions.
Figure 3.1.1: % Distribution of Household with Farm Land by Land Size General Table & Descriptive Analysis Report 124 % e r a h s % 3 0 .

3 1 2 % 3 0 .

% 1 0 .

% 1 0 .

% 1 0 .

% 3 0 .

% 2 0 .

% 1 0 .

% 1 0 .

% 3 0 .

% 0 0 .

% 1 0 .

% 1 0 .

% 5 0 .

% 5 0 .

% 3 0 .

% 8 0 .

% 6 0 .

% 3 0 .

5 1 1 2 1 9 1 8 3 1 1 6 0 8 4 1 6 3 9 1 9 6 4 2 4 4 0 3 % 3 0 .

% 4 0 .

% 2 0 .

% 2 0 .

% 4 0 .

% 3 0 .

% 0 0 .

% 1 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 1 0 .

% 2 0 .

% 4 0 .

% 2 0 .

% 8 0 .


% 1 0 .

% 2 0 .

4 1 5 5 3 6 2 3 5 0 1 0 0 1 7 1 3 1 4 1 4 4 4 2 9 4 1 7 4 % 9 0 .

% 4 0 .

% 2 0 .

% 5 0 .

% 8 0 .

% 7 0 .

% 0 0 .

% 4 0 .

% 1 0 .

% 0 0 .

% 2 0 .

% 4 0 .

% 5 0 .

% 6 0 .

% 5 0 .

% 4 2 .

% 8 0 .

% 3 2 .

 % 7 1 .

% 3 0 .

% 1 0 .

% 3 0 .

% 0 1 .

% 0 1 .

% 1 0 .

% 3 0 .

% 1 0 .

% 0 0 .

% 2 0 .

% 4 1 .

% 3 1 .

% 3 1 .

% 3 1 .

% 4 4 .

% 8 1 .


% 3 6 .

 % 1 3 .

% 3 1 .

% 4 0 .

% 8 1 .

% 7 1 .

% 9 1 .

% 2 0 .

% 7 0 .

% 6 0 .

% 5 0 .

% 5 0 .

% 8 5 .

% 1 4 .

% 0 5 .

% 1 5 .

% 0 7 .

% 2 4 .

% 9 8 .

2 4 1 % 5 0 1 .

4 8 4 5 1 1 1 3 3 6 2 1 7 2 3 3 2 1 2 1 2 9 2 9 8 7 9 1 3 % 6 4 .

% 3 1 .

% 2 4 .

% 9 2 .

% 9 4 .

% 0 1 .

% 3 1 .

% 6 1 .

% 3 1 .

% 3 1 .

% 1 8 .

% 7 5 .

7 9 1 5 0 3 1 , 3 0 2 1 2 3 5 1 8 % 9 5 .


% 0 7 .

% 2 0 1 .

% 5 6 .

% 1 8 .

4 5 3 3 8 7 0 1 2 9 5 8 7 1 3 2 1 3 5 6 7 6 4 4 9 0 1 1 , 1 3 2 6 8 7 1 , 6 9 2 0 0 5 8 3 7 % 8 0 3 .

% 9 3 3 .

% 6 0 1 .

% 8 6 2 .

% 1 8 1 .

% 3 2 2 .

% 6 1 3 .

% 2 4 2 .

% 3 8 1 .

% 7 7 2 .

% 7 4 2 .

% 0 2 1 .

% 9 0 2 .

% 5 3 2 .

% 5 6 1 .

% 1 4 3 .

% 8 1 3 .

% 5 5 1 .


3 2 4 1 , 6 9 3 2 7 2 0 0 5 3 0 3 1 , 4 9 8 3 , 5 5 5 6 2 4 2 6 3 3 0 1 6 4 4 1 , 5 3 6 1 , 8 4 6 1 , 9 1 9 2 9 9 2 0 2 4 , 0 4 4 2 , 9 0 4 1 , % 4 2 5 .

% 9 8 5 .

% 2 7 8 .

% 1 6 6 .

% 8 4 7 .

% 7 8 6 .

% 1 7 6 .

% 9 2 7 .

% 1 9 7 .

% 4 0 7 .

% 1 3 7 .

% 1 2 7 .

% 9 6 6 .

% 8 2 6 .

% 1 9 6 .

% 3 0 4 .

% 1 4 5 .

% 5 8 5 .

7 1 4 2 , .

% 0 0 0 1 6 1 6 4 , 7 8 6 5 4 2 2 , 3 3 2 1 , 5 8 3 5 , .

% 0 0 0 1 7 6 1 1 , .

% 0 0 0 1 6 7 5 2 , .


% 0 0 0 1 4 6 8 1 , .

% 0 0 0 1 3 0 2 7 , 7 6 9 1 1 , .

% 0 0 0 1 6 2 4 7 1 , .

% 0 0 0 1 4 5 7 1 , .

% 0 0 0 1 7 5 7 1 , 7 7 1 1 , 1 8 2 1 , 6 6 5 1 , 2 6 2 6 8 2 4 , 0 4 8 9 , 7 6 2 5 , 5 7 1 1 , 1 5 1 4 , 0 3 3 5 , 9 5 4 2 , .

% 0 0 0 1 3 1 9 3 , 6 6 5 7 1 , .

% 0 0 0 1 5 3 4 5 2 , .

% 0 0 0 1 3 1 9 2 , .

% 0 0 0 1 8 1 1 9 , .

% 0 0 0 1 8 6 6 7 , a t a u c a M .

% 0 0 0 1 4 6 8 5 , .

% 0 0 0 1 0 5 6 3 1 , .

% 0 0 0 1 2 7 8 7 , .


% 0 0 0 1 1 8 9 1 , i t i v i a m o L .
% / - - 0 5 a H 0 5 - 0 2 a H 0 2 - 0 1 a H 0 1 - 5 a H 5 - 3 a H 3 - 1 a H 1 < l a t o T e c n i v o r P t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C e r a h s % t n u o C % t n u o C e r a h s % 2 0 .

5 4 1 e r a h s % 9 0 .


e r a h s % 0 2 .

5 5 3 1 , % 4 4 .

0 0 0 3 , e r a h s e r a h s % 2 6 .

e r a h s e r a h s 5 5 2 4 , % 0 1 2 .

3 8 3 4 1 , % 0 5 6 .

5 7 4 4 4 , .

% 0 0 0 1 4 2 4 8 6 , l a t o T e c n i v o r P / n o i s i v i D / : 1 .

3 e l b a T % 5 0 .

8 9 % 2 0 .

% 8 1 .

6 4 3 % 3 4 .

8 3 8 % 8 6 .

9 3 3 1 , % 8 7 .

4 3 5 1 , % 6 4 2 .

1 4 8 4 , % 1 4 5 .

6 5 6 0 1 , .


% 0 0 0 1 9 9 6 9 1 , Division Fiji Central Eastern Western Northern General Table & Descriptive Analysis Report 125 125 3.2 Number of Household with Farm Land by Number of Farm Parcel Table 3.2 and Figure 3.2.1 provides distribution of agricultural households by number of parcels they operate.
The table reveals that in Fiji, 90.6% households operate one parcel, 9.2% households operate 2 to 4 parcels and only a miniscule proportion of 0.2% households operate more than 4 parcels.

A similar pattern is observed in regions too.

Highest proportion of just one parcel households account for 93.0% in Central region followed by 90.7% in Western region, 88.9% in Northern region and 88.8% in Eastern region.

The distribution of households operating 2 to 4 parcels is slightly different.
The highest proportion of households operating 2 to 4 parcels stands at 11.1% in Eastern region followed by 10.8% in Northern region, 9.2% in Western region and 6.9% in Central region.
Figure 3.2.1: % Distribution of Household with Farm Land by Number of Farm Land Parcel Nothern Western Eastern Central Fiji 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% < 2 Farm Land Parcels 2-4 Farm Land Parcels > 4 Farm Land Parcels Table 3.2: Distribution of Household with Farm Land by Number of Farm Land/Division/ Province Division Province Total Number of Household with Farm Land < 2 Farm Land Parcels 2 - 4 Farm Land Parcels > 4 Farm Land Parcels % Count % Count % Count 100.0% 61,996 90.6% 6,314 Fiji Total Central Naitasiri Namosi Rewa Serua Tailevu Total Count % 0.2% 0.0% 0.4% 0.0% 0.1% 0.1% 0.1% 0.1% 0.1% 114 2 5 0 1 7 15 1 2 Eastern Kadavu Lau 1,754 1,757 100.0% 100.0% 1,670 1,458 95.2% 83.0% General Table & Descriptive Analysis Report 126 Table 3.2: Distribution of Household with Farm Land by Number of Farm Land/Division/Province Division Province Total Number of Household with Farm Land < 2 Farm Land Parcels 2 - 4 Farm Land Parcels > 4 Farm Land Parcels Count % Count % Count % Count Eastern Lomaiviti Rotuma Total Western Ba Nadroga/Navosa Ra Total Northern Bua Cakaudrove Macuata Total % 0.2% 0.0% 0.1% 0.1% 0.1% 0.3% 0.1% 0.5% 0.3% 0.3% 0.3% Figure 3.3.1: % Distribution of Farm Area by Land Tenureship 3.3 Farm Land Area Table 3.3 and Figure 3.3.1gives distribution of land by the type of tenure of its operation.
It may be seen from the table and graph that more than half of the entire land operated, that is, 54.1% of the total agricultural land is operated under Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu) followed by 23.7% under Native lease, 13.9% under Free hold, 6.0% under Lease from State and 2.1% under arrangement.

Only a miniscule proportion of 0.2% of area is operated under informal (without arrangement legal arranagement) or other such arrangement.
informal Among regions, highest proportion of land under Traditional ownership at 91.5% lies in Eastern Division followed by 64.1% in Central Division, 51.4% in Western Division and 48.2% in Northern Division.

Native lease accounts for 27.5% of operated area in Western Division followed by 26.5% in Northern Division, 15.8% in Central Division and just 1.9% in Eastern Division.
Highest proportion of Freehold land at 19.9% lies in Northern Division followed by 11.1% in Central Division, 8.2% in Western Division and 3.5% in Eastern Division.

The share of land leased from State exhibits a slightly different pattern.

The highest proportion of land leased from state at 10.3% is reported from Western Division followed by 7.7% from Central Division, 2.8% from Northern Division and a negligible proportion of 0.02% in Eastern Division.
General Table & Descriptive Analysis Report 127 127 Table 3.3: Number of Household with Farm Land/Type of Land Tenure/Land Area (Ha)/ Division/Province Division Province Land Tenure ship Fiji Total Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Central Naitasiri Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Namosi Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Rewa Total Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Total General Table & Descriptive Analysis Report 128 Number of Household with Farm Land Area of Farm Land (Ha) % share Table 3.3: Number of Household with Farm Land/Type of Land Tenure/Land Area (Ha)/ Division/Province Number of Household with Farm Land Area of Farm Land (Ha) % share Division Province Land Tenure ship Central Serua Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Tailevu Freehold Lease from State
 Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Total Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Other Total Eastern Kadavu Freehold Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrangement Other Total General Table & Descriptive Analysis Report 129 129 Table 3.3: Number of Household with Farm Land/Type of Land Tenure/Land Area (Ha)/ Division/Province Division Province Land Tenure ship Eastern Lau Freehold Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Lomaiviti Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Total Rotuma Freehold Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Other Total Total Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Western Ba Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa,
 Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Other Total General Table & Descriptive Analysis Report 130 Number of Household with Farm Land Area of Farm Land (Ha) % share Table 3.3: Number of Household with Farm Land/Type of Land Tenure/Land Area (Ha)/ Division/Province Division Province Land Tenure ship Western Nadroga/ Navosa Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Ra Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Total Total Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrange- ment Occupy without any Legal Arrange- ment Other Total Northern Bua Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Other Total Number of Household with Farm Land Area of Farm Land (Ha) % share 60.63
General Table & Descriptive Analysis Report 131 131 Table 3.3: Number of Household with Farm Land/Type of Land Tenure/Land Area (Ha)/Division/Province Division Province Land Tenure ship Northern Cakaudrove Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Other Total Macuata Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Other Total Total Freehold Lease from State Native Lease Traditional ownership (Mataqali, Tokatoka, Yavusa, Kovukovu/ Occupy land with Informal Arrangement Occupy without any Legal Arrange- ment Other Total Number of Household with Farm Land Area of Farm Land (Ha) % share General Table & Descriptive Analysis Report 132 3.4 Number of Years Farm Land was used Figure 3.4.1: % Distribution of Farm Lands by Number of Years Used Table 3.4 and Figure 3.4.1 gives the distribution of operated area by number of years of use by the current farmer on the date of enumeration.
Table 3.4 reveals that highest proportion of 73.1% of operated area is under use of the current farmer for more than eight years while the lowest proportion of 11.7% is being operated for 4-8 years.

The operated area under the use of the current farmer for a period of up to 4 years accounts for 15.2%.

More or less, a similar pattern is exhibited in all the regions too.
In Central Division, the highest proportion of 72.8% of operated area is under the use of the current farmer for a period of more than 8 years followed by 17.9% up to 4 years, 9.3% for more than 4 years to 8 years.

In the Eastern Division, the operated area under use of the current farmer for a period of up to 4 years accounts for 17.2%, more than 4 yearsto 8 years for 8.5% and more than 8 years for 74.3%.
In Western Division, the operated area under use of the current farmer for a period of up to 4 years accounts for 9.2%, more than 4 years to 8 years for 11.3% and more than 8 years for 79.5%.

In the Northern Division, the highest proportion of 68.7% of operated area is under the use of current farmer for a period of more than 8 years followed by 18.0% for up to 4 years and more than 8 years for 13.3%.
Table 3.4 : Farm Operated Areas by Number of Years Used/Division/Province Division Province Total Operated Up to 4 yrs >4 yrs - 8 yrs >8 yrs % share Area (Ha) % share Area (Ha) Area (Ha) % share Area (Ha) % share Fiji Total 194,767 100.0% 29,626 15.2% 22,825 11.7% 142,316 Central Naitasiri 17,040 100.0% 4,043 23.7% 1,150 Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Western Ba Nadroga/Navosa Ra Total Northern Bua Cakaudrove Macuata Total General Table & Descriptive Analysis Report 133 133 3.5 Farm Area by Land Use Type Table 3.5 and Figure 3.5.1 gives distribution of operated area by land use categories.
The table and graph reveals that during the reference period of Agricultural Census 2020 in Fiji, 22.8% of operated area is occupied by the temporary crops, 6.4% was fallow for one year or more, 14.3% was under permanent crops with no pastures, 17.5% under permanent crops with pastures, 10.3% under temporary meadows and pastures, 14.0% under permanent meadows and pastures and 14.8% in under uses other than those described.

The land use pattern in regions was found to be not very different.
In the Central Division, the proportion of land in respective categories was 31.4%, 4.9%, 7.4%, 14.9%, 13.0%, 15.5% and 12.8%.

In Eastern Division, the land use categories in the same order accounted for 39.1%, 3.7%, 10.3%, 11.4%, 6.7%, 5.8% and 23.0% of the total operated area in the region.
In the Western Division, highest proportion of 18.6% of operated area fell under the category Permanent crops with pastures followed by 18.4% under permanent crops with no pastures, 17.8% under permanent meadows and pastures, 14.9% under temporary crops, 11.1% under temporary meadows and pastures, 9.3% under fallow for one year or more besides 10.0% under other land use categories.
In the Northern Division, 22.9% of operated area is occupied by the temporary crops, 5.3% was fallow for one year or more, 14.8% was under permanent crops with no pastures, 18.4% under permanent crops with pastures, 8.9% under temporary meadows and pastures, 11.6% under permanent meadows and pastures and 18.1% in under other uses.

Figure 3.5.1: % Distribution of Farm Area by Land Use Type General Table & Descriptive Analysis Report 134 % e r a h s % 8 4 1 .

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/ - a k a C e v o r d u a t a u c a M l a t o T l a t o T Division Fiji Central Eastern Western Northern General Table & Descriptive Analysis Report 135 135 CHAPTER 4: CROPS ON FARM LAND General Table & Descriptive Analysis Report 136 A.
List of Tables Table Number Table Name Page Number 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 4.10 4.11 4.12 4.13 4.14 4.15 4.16 4.17 4.18 4.19 4.20 4.21 4.22 4.23 4.24 4.25 4.26 4.27 4.28 Total Volume and Value of Crop Production by Division/Province Type of Crops TEMPORARY CROPS Distribution of Areas,Volume of Value Harvested of Temporary Crops by Division in Fiji Temporary Crops by Division/Household/Plants/Areas/Volume and Value Harvested Distribution of each Temporary Crops by Geographical Division/Areas/Volume and Value Harvested Distribution of Areas, Production and Value of Temporary Crops in Central Division by Province Temporary Crops by Province/ Plants/Areas/Volume and Value of Production in Central Division Distribution of Areas, Production and Value of Temporary Crops in Eastern Division by Province Temporary Crops by Province/Household/Plants/Areas/Volume and Value of Production Distribution of Areas, Production and Value of Temporary Crops in Western Division by Province Temporary Crops by Province/Household/Plants/Areas/Volume and Value of Production in Western Division Distribution of Areas, Production and Value of Temporary Crops in Northern Division by Province Temporary Crops by Province/Household/Plants/Areas/Volume and Value of Production in Northern Division Temporary Crops by Household/Sex of Head/Plants/Areas/Volume and Value of Production Temporary Crops by Household/Age of Head/Plants/Areas/Volume and Value of Production Number of Household by Division/Purpose of Harvesting Temporary Commodities (past 12 months) PERMANENT CROPS Distribution of Areas,Volume of Value Harvested of Permanent Crops by Division in Fiji Permanent Crops by Division/Household/Plants/Areas/Volume and Value of Production in Fiji Distribution of each Permanent Crops by Geographical Division/Areas/Volume and Value Harvested in Fiji Distribution of Areas,Volume of Value Harvested of Permanent Crops in Central Division by Province Permanent Crops by Province/Household/Plants/Areas/Volume and Value of Harvest in Central Division Distribution of Areas,Volume of Value Harvested of Permanent Crops in Eastern Division by Province Permanent Crops by Province/Household/Plants/Areas/Volume and Value of Harvest in East- ern Division in Eastern Division Distribution of Areas,Volume of Value Harvested of Permanent Crops in Western Division by Province Permanent Crops by Province/Household/Plants/Areas/Volume and Value of Harvestin West- ern Division Distribution of Areas,Volume of Value Harvested of Permanent Crops in Northern Division by Province Permanent Crops by Province/Household/Plants/Areas/Volume and Value of Harvest in Northern Division Area, Production and Sales of Permanent Crops by Sex of Household Head Area, Production and Sales of Permanent Crops by Age Group of Household Head 139 140 141 148 155 156 160 163 168 169 173 174 179 183 188 195 196 200 202 203 206 207 209 210 212 213 215 217 General Table & Descriptive Analysis Report 137 137 0 .
8 7 8 , 7 5 6 .

9 6 8 , 0 0 5 , 2 8 .

5 0 1 , 9 1 9 .

0 5 9 , 9 7 3 s p o r C y r a r o p m e T 5 .

5 3 1 , 5 9 3 , 2 $ 2 .

5 3 0 , .

2 1 6 , 3 6 1 $ 6 .
2 1 6 , 3 6 1 $ 6 .

1 2 0 , � d o m m o C p o r C 0 1 p o T ) s e n n o T c i r t e M ( d o i r e P e c n e r e f e R s u s n e C 1 8 4 , 1 1 0 1 6 , 4 2 4 2 3 , 2 0 1 1 6 5 , 7 1 1 7 7 8 , 3 6 4 9 , 3 9 7 4 , 5 3 7 5 1 , 0 1 0 1 3 , 1 3 3 2 , 2 6 .

7 4 7 , 8 5 5 , 2 $ 7 .


6 5 0 , 9 9 3 ) 0 0 0 ’ D J F ( d e t s e v r a H p o r C f o e u a V l l a t o T ) s e n n o t c i r t e m ( d e t s e v r a H p o r C f o e m u o V l l a t o T General Table & Descriptive Analysis Report 138 Figure 4.1.1: % Distribution of Volume of Crop Production/Division/ Province/Type of Crops C. Tables and Graphs Summary of Crop Sub-sector and value total Table 4.1 provides volume of production by type of crops in Fiji.
It can be seen from the table that of the total value of crops harvested during the Census reference period (10 February, 2019 – 10 February, 2020), 93.6% for by the is accounted Temporary crops while the share of Permanent crops works out to only 6.4%.

the value The share of of temporary crops and permanent crops is not very different in divisions too.
In the Central division, the share of value of temporary and permanent crops works out to 97.8% and 2.2%; Eastern division 88.8% and 11.2%; Western division 81.0% and 19.0%; Northern division 95.1% and 4.9% respectively.
If we examine the contribution of various divisions in the crop production, it is noted that in terms of quantity of production of temporary crops, highest contribution at 45.8% comes from Central division followed by 25.7% from Western division, 19.9% from Northern division and 8.6% from Eastern division.
Similarly, in terms of quantity of production of Permanent crops, highest contribution at 48.2% comes from Northern division followed by 34.6% from Western division, 11.3% from Eastern division and 5.9% from Central division.

In terms of value of temporary crops, highest contribution at 66.4% comes from Northern division followed by 18.7% from central, 10.0% from Western and 4.9% from Eastern division.
Similarly, highest contribution in terms of value of permanent crops also comes from Northern division followed by 34.4% from Western division, 9.1% from Eastern division and 6.2% from Central division.

General Table & Descriptive Analysis Report 139 139 % l a t o T e u l a V % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 % 0 0 1 .

1 3 3 0 8 3 3 $ , .

0 6 7 1 4 1 $ , .

8 0 5 4 2 4 $ , .


3 7 1 7 7 1 $ , .

3 3 4 7 5 4 $ , .

5 0 2 1 8 5 4 , .

, 6 7 4 7 8 5 5 2 $ , .

3 0 7 4 5 5 $ , .

2 7 8 5 7 3 $ , .

9 5 0 1 6 3 $ , .

0 4 8 5 3 $ , .

4 7 4 7 2 3 1 , .

8 4 1 7 5 2 1 $ , .

4 2 8 1 0 2 1 $ , .

7 1 8 8 9 4 $ , .

9 8 7 7 5 9 2 , .

4 6 6 8 1 1 1 $ , .

0 4 9 0 7 7 $ , .

, 4 0 4 1 3 8 4 1 $ , .


8 0 0 1 2 7 6 1 , , ’ ) 0 0 0 D J F ( n o i t c u d o r P f o e u l a V ) t M ( ) 0 2 0 2 0 1 b e F - 9 1 0 2 0 1 b e F ( s p o r C f o e p y T e c n i v o r P / : 1 .
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% 4 4 3 .

% 2 8 .

% 4 6 .

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% 4 5 .

% 4 4 .

% 6 3 1 .

% 9 4 .

e u l a V e r a h s % l a t o t o t e u l a V % e m u l o V .

2 6 9 2 2 $ , .

3 4 3 2 $ .

8 2 4 5 $ .

8 6 2 8 $ .

8 4 2 2 6 $ , .

9 4 2 1 0 1 , .

3 2 1 5 $ .

1 2 1 6 3 6 1 $ , .

9 5 3 7 0 1 $ , .

8 9 5 3 3 $ , .

2 7 0 2 $ .

2 5 1 8 4 1 , .

7 1 2 2 3 4 $ , .


9 6 3 8 9 $ , .

0 0 0 2 3 $ , .

6 8 5 2 6 5 , .

5 2 6 0 6 $ , .

2 6 9 8 5 6 $ , .

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5 3 1 4 2 8 , e u l a v % 6 3 9 .

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% 8 7 9 .

% 1 9 9 .

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% 8 8 8 .

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% 8 1 9 .

% 6 3 9 .

% 0 1 8 .

% 6 4 9 .

% 6 5 9 .

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.

9 6 3 7 5 3 3 $ , .

7 1 4 9 3 1 $ , .

0 8 0 9 1 4 $ , .

5 0 9 8 6 1 $ , .

5 8 1 5 9 3 $ , .


6 5 9 9 7 4 4 , .

0 8 5 9 4 5 $ , .

, 5 5 3 1 5 9 3 2 $ , .

3 1 5 8 6 2 $ , .

1 6 4 7 2 3 $ , .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

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7 6 5 0 9 9 3 , .

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6 1 3 8 4 4 5 , .

3 5 6 9 9 , .

5 1 0 2 5 1 , .

9 3 4 6 0 1 , .

9 6 7 3 3 $ , .

% 0 0 0 1 .

5 9 0 9 .

3 2 3 9 7 1 1 , .


1 3 9 4 2 8 $ , .

4 5 4 3 0 1 1 $ , .

7 1 8 6 6 4 $ , .

2 0 2 5 9 3 2 , .

9 3 0 8 5 0 1 $ , .

, 2 4 4 2 7 1 4 1 $ , .

2 9 3 6 6 6 $ , .

3 7 8 6 9 8 5 1 , , .

% 0 0 0 1 .

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1 8 1 0 1 6 , / General Table & Descriptive Analysis Report 140 B) TEMPORARY CROPS (i) Geographical Division This is a straightforward section tabulating and giving, among other things, area planted and area harvested for temporary crops in the country.
It can be seen in Table 4.2 that in the area planted, Northern had the highest proportion of 41.7%, followed by Central Division with 26.0%, Western Division with 23.0% and Eastern Division with 9.2% and this geographical distribution also seen in the area harvested.

Central Division dominated in volume harvested of temporary crops with 45.8%, followed by Western Division with 25.7%, Northern Division with 19.9% and Eastern Division at 8.5%.
Because of the high value of return for Yaqona, Northern contributed 66.4% to total value of temporary crop production, followed by Central with 18.7%, Western at 10.0% and Eastern at 4.9%.
Table 4.2: Distribution of Areas,Volume of Value Harvested of Temporary Crops by Division in Fiji Division Area Planted Area Harvested Volume Harvested Area (Ha) % Area (Ha) % Volume(Mt) Value of Harvested Temporary Crop % Value (FJD'000) % Central Eastern Northern Western FIJI Table 4.3 and 4.4 highlights the distribution of temporary crops in terms of area planted, area harvested, volume harvested and value of harvest across the four geographical divisions.
Cassava found to have the highest proportion of volume harvested with 38.4%, followed by Dalo with 33.4%, Yaqona with 8.0%, okra with 3.8% and ginger with 3.3% and 4.2% respectively during the census reference period.

Because of the high value of return for Yaqona, it has accounted for 83.1% of the total value of temporary crops harvested, followed by dalo with 6.0%, cassava with 4.9% , okra with 1.8% while the rest of the temporary crops had less than one percent.
It can be seen that in the area planted, Yaqona had the highest proportion of 47.3%, followed by Cassava with 19.7%, Dalo with 15.6% Rice with 6.8% and others with one percent or less.

General Table & Descriptive Analysis Report 141 141 % % 3 0 0 .

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4 e l b a T General Table & Descriptive Analysis Report 142 % 5 0 0 0 0 .

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% 4 0 .

% 0 0 .

% 1 0 .

% 3 0 .

% 0 1 .

% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 2 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 2 2 .

% 0 6 3 .

.

% 0 0 0 1 % 0 0 .

% 1 0 .

% 0 0 .

% 6 2 .

% 1 0 .

% 1 0 .
d e t n a l P t n u o C 2 6 0 5 , 1 6 7 7 2 , 0 8 0 1 , 8 0 0 6 , 9 6 4 8 1 , 3 8 0 0 7 , 5 1 8 4 9 1 1 , 5 1 0 0 7 0 4 8 4 4 1 0 3 5 0 1 , 6 9 8 1 , 7 6 0 1 , 8 5 8 1 , 4 9 2 6 4 1 , , 1 4 3 1 1 4 2 , , 5 8 5 0 9 6 6 , 0 9 1 3 0 1 , 9 0 7 4 1 2 , 6 5 8 8 6 , 6 0 8 5 1 2 , 2 1 0 2 6 1 , , 8 1 4 7 6 3 8 , , 0 1 6 3 , 1 4 5 0 3 9 2 1 6 , 1 5 9 9 , ) i d n i h B ( ) u o r u o R ( General Table & Descriptive Analysis Report 145 145 d e t s e v r a H e u l a V d n a e m u l o V / s a e r A / s t n a l P / d l o h e s u o H / n o i s i v i D y b s p o r C y r a r o p m e T : 3 .
% ) a H ( a e r A % ) a H ( a e r A % % % 1 0 0 .

% 5 7 1 .

% 0 0 0 .

% 0 0 0 .

% 7 0 0 .

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% 1 0 0 .

% 0 0 0 .

% 1 0 0 .

% 1 0 0 .

% 0 0 0 .

% 5 0 0 .

% 1 0 0 .

% 0 0 0 .

% 2 0 0 .

% 0 0 0 .

% 2 0 0 .

% 0 0 0 .

% 9 2 0 .

% 0 0 0 .

% 0 0 0 .

% 1 0 0 .

% 2 3 0 .

% 2 0 0 .

e u l a V ' ) 0 0 0 D J F ( % .


8 0 0 1 .

7 4 6 8 7 2 , .

8 8 7 .

9 7 7 .

8 5 8 0 1 , .

9 5 6 1 .

6 6 1 .

4 3 0 1 5 0 .

.

0 0 8 .

3 6 9 .

4 8 1 .

1 4 7 7 .

5 9 2 1 .

1 1 2 4 .

.

4 6 6 2 .

0 3 6 2 .

2 2 6 .

0 5 7 5 4 , .

2 2 7 .

0 9 5 .

8 1 0 1 .

8 5 4 3 .

5 8 8 0 5 , % 1 0 .

% 8 0 3 .

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% 0 0 .

% 4 0 .

% 1 0 .

% 0 0 .

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% 2 5 .

% 0 0 .

% 0 0 .

% 1 0 .


% 6 4 .

% 3 0 . )

t m ( .

7 1 7 .

8 5 8 7 8 1 , .

6 6 5 .

4 0 1 .

6 5 1 6 .

9 9 3 1 .

8 4 .

5 9 8 .

2 0 .

4 7 3 .

1 2 6 .

2 3 .

8 1 3 2 .

1 1 7 1 0 .

.

9 6 7 .

6 2 .

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% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 8 6 .

% 0 0 .

% 0 0 .


% 0 0 .

% 6 1 .

% 1 0 .

0 6 .

.

3 9 3 9 8 2 .

.

3 1 .

8 0 3 .

0 7 .

5 0 6 3 .

.

0 0 .

7 3 .

2 6 .

4 0 .

2 3 2 .

7 3 2 0 0 .

1 5 .

.

5 0 7 3 .

.

9 4 % 1 0 .

% 1 9 .

% 1 0 .

% 0 0 .

% 2 0 .

% 1 0 .

% 0 0 .

% 1 0 .

% 0 0 .

% 0 0 .

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% 0 0 .

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% 0 0 .

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9 3 .

.

9 0 2 5 9 5 .

9 0 .

.

2 2 1 8 4 .

8 0 .

3 4 .

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3 4 .

3 0 .

.

7 6 1 9 4 .

2 1 .

9 7 .

6 2 .


7 4 .

6 1 .

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% 0 2 .

% 0 0 .

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.

5 4 9 7 % 5 5 1 .

.

2 6 8 8 % 1 1 9 .


d e t n a l P t n u o C 0 8 0 8 2 1 , , 1 3 4 0 3 4 6 , 5 3 1 8 5 , 8 6 4 0 3 4 , 0 8 2 1 6 1 , 7 7 1 7 5 1 , 5 6 9 9 9 , 7 1 0 6 5 3 , 6 1 9 6 9 1 1 2 , 5 8 1 5 0 1 , 9 1 7 0 1 , , 8 7 5 7 9 0 1 , 0 4 8 4 8 1 , 2 0 8 7 3 , 7 5 0 0 6 2 , 6 4 1 2 9 , 7 1 3 4 4 1 , 9 2 6 0 1 , , 6 5 7 4 7 9 1 9 2 , 9 0 .

0 4 .

.

9 9 .

1 6 8 1 % 0 0 .

% 0 0 .

% 1 0 .

% 3 1 .

% 3 0 .

3 0 .

6 0 .

2 4 .

.

9 3 7 .

0 8 1 % 0 0 .

% 0 0 .

% 0 0 .

% 1 0 .

% 1 0 .
5 9 2 6 6 , 7 1 1 9 , 2 8 5 6 3 , 6 1 3 3 4 2 , 2 5 8 6 9 2 , , 1 4 3 4 7 9 2 9 3 , 3 8 1 6 2 1 2 4 1 2 2 8 1 2 0 7 2 5 2 1 4 6 1 , , ) r e d n a i r r o C ( ) i d n i h B ( ) u o r u o R ( / s a e r A / s t n a l P / d l o h e s u o H / n o i s i v i D y b s p o r C y r a r o p m e T : 3 .
4 e l b a T General Table & Descriptive Analysis Report 146 % % 7 1 5 9 .

.

% 0 0 0 1 % 4 2 0 .

% 5 0 0 .

% 2 1 0 .

% 0 0 9 1 .

% 0 3 1 .

% 4 7 0 .

% 7 1 0 .

% 6 6 2 .

% 2 0 0 .

% 1 0 0 .

% 4 2 1 .

% 0 3 0 .

% 5 0 0 .

% 7 0 0 .

% 2 0 0 .

% 2 0 0 .

% 1 2 2 .

% 6 0 0 .

% 6 1 1 .

% 4 7 0 .

% 4 0 0 .

% 0 6 7 1 .

% 0 0 0 .

e u l a V ' ) 0 0 0 D J F ( % ) t m ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A % d e t n a l P t n u o C .

4 1 6 8 2 1 5 1 , , .

1 6 7 5 .

8 1 2 1 .


7 5 7 2 .

3 7 8 6 9 8 5 1 , , .

6 6 0 5 5 4 , .

7 8 0 1 3 , .

6 1 0 4 .

4 9 7 7 1 , .

0 2 8 3 6 , .

9 7 4 .

6 5 2 .

5 6 7 9 2 , .

0 0 3 7 .

5 1 1 1 .

1 2 7 1 .

9 6 4 .

3 5 4 .

9 1 9 2 5 , .

1 9 4 1 .

1 7 6 7 2 , .

9 9 7 7 1 , .

1 3 0 1 4 4 .

.

2 0 5 1 2 4 , % 1 6 2 .

.

% 0 0 0 1 % 6 0 .

% 1 0 .

% 1 0 .

% 2 0 6 .

% 5 1 .

% 9 0 .

% 4 0 .

% 5 5 .

% 1 0 .

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% 5 2 .

% 9 0 .

% 0 0 .

% 2 0 .

% 0 0 .

% 0 0 .

% 3 4 .

% 0 0 .


% 0 1 .

% 3 1 .

% 0 0 .

% 7 3 1 .

% 0 0 .

.

5 1 7 4 .

7 8 4 .

4 1 7 .

0 8 0 9 5 1 , .

1 8 1 0 1 6 , .

2 0 0 3 7 4 , .

6 3 0 2 1 , .

2 1 7 6 .

2 0 1 3 .

5 6 3 3 4 , .

4 9 4 3 3 .

.

7 7 5 9 1 , .

4 0 1 7 .

3 6 3 .

6 4 5 1 .

4 6 1 .

7 5 1 .

3 6 3 .

5 3 2 8 .

3 3 8 9 .

4 2 1 .

3 4 4 3 3 , .

3 2 .

2 3 0 8 0 1 , % 3 8 6 .

.

% 0 0 0 1 % 7 0 .

% 1 0 .

% 1 0 .

% 8 9 3 .

% 7 1 .

% 9 1 .

% 4 0 .

% 7 3 .

% 0 0 .

% 0 0 .

% 6 1 .


% 6 0 .

% 1 0 .

% 1 0 .

% 0 0 .

% 0 0 .

% 6 5 .

% 1 0 .

% 4 1 .

% 5 5 .

% 0 0 .

.

0 4 5 9 7 , .

3 9 3 .

1 4 .

9 5 .

3 1 5 6 1 1 , .

0 5 6 3 2 , .

3 0 0 1 .

9 1 1 1 .

8 5 2 .

8 6 1 2 5 2 .

4 0 .

.

9 7 9 .

5 5 3 .

6 3 2 6 .

6 1 .

6 1 .

.

4 4 3 3 .

5 4 .

3 2 8 1 2 .

.

8 7 2 3 % 0 0 .

.

3 0 % 1 2 1 .

.

5 0 2 7 % 3 4 6 .

.

% 0 0 0 1 % 2 0 .

% 4 0 .

% 2 0 .

% 6 7 4 .

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% 5 3 .

% 0 1 .

% 2 0 .

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% 0 0 .

% 7 1 .

% 5 2 .

% 0 0 .

% 5 3 .

% 4 1 .

.

7 0 8 6 3 , .

9 6 2 7 5 , 9 4 .

.

7 3 1 8 4 .

.

1 6 0 5 1 , .

1 9 1 .

8 7 3 .

2 6 2 .

1 9 2 1 6 5 .

4 1 .

.

2 0 1 1 .

5 2 3 0 5 .

7 0 .

5 3 .

6 2 .

.

8 0 6 0 1 .

.

1 4 5 .

3 8 7 3 1 .

.

8 9 0 1 .

8 3 4 % 8 2 .

.

% 0 0 0 1 % 1 1 .

% 3 0 .

% 3 0 .

% 9 0 5 .

% 4 1 .

% 0 2 .

% 5 1 .

% 7 2 .

% 1 0 .

% 1 1 .

% 5 2 .


% 8 1 .

% 1 1 .

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% 0 0 .

% 0 0 .

% 6 2 .

% 1 0 .

% 1 6 .

% 1 5 .

% 1 0 .

% 8 6 .

% 4 0 .
, 3 5 2 2 9 0 9 , , 0 0 1 8 3 6 0 2 3 , 8 6 7 3 4 6 , 6 1 8 3 8 1 , 9 4 6 8 5 1 , 6 2 3 9 3 8 , , 6 2 0 3 7 7 9 2 , , 5 0 8 9 4 1 1 , 3 6 7 3 6 8 , , 1 1 0 5 9 5 1 , 5 6 7 5 5 , 1 6 9 1 7 6 , , 5 5 7 2 5 4 1 , , 8 9 8 0 7 0 1 , 8 1 1 0 6 6 , 1 2 0 1 6 , 5 4 7 5 , 2 0 3 5 2 , 9 2 6 3 3 , , 6 8 0 3 0 5 1 , , 2 8 6 4 6 5 3 , 0 5 1 8 3 , , 2 2 0 5 7 9 2 , , 8 0 0 3 0 0 4 , 1 9 8 0 5 2 , , 8 7 0 4 3 6 9 7 2 , 3 9 4 3 1 , 2 6 5 7 2 6 4 3 4 4 3 2 9 4 1 8 8 2 2 , 6 7 0 3 , , ) r e d n a i r r o C ( ) i d n i h B ( General Table & Descriptive Analysis Report 147 147 d e t s e v r a H e u l a V d n a e m u l o V / s a e r A / s t n a l P / d l o h e s u o H / n o i s i v i D y b s p o r C y r a r o p m e T : 3 .
4 e l b a T % % 9 8 1 .

% 2 4 0 .

% 9 0 0 .

% 5 0 0 .

% 0 0 0 .

% 6 2 0 .

% 7 9 0 .

% 7 1 0 .

% 2 3 8 4 .

.

% 0 0 0 1 e u l a V ' ) 0 0 0 D J F ( % .

3 6 3 5 4 , .

2 0 1 0 1 , .

4 8 1 2 .

8 4 1 1 1 1 .

.

8 0 2 6 .

1 0 1 4 .

3 7 1 3 2 , .

1 8 3 7 5 1 1 , .

2 0 2 5 9 3 2 , % 3 0 .

% 8 0 .

% 2 0 .

% 1 0 .

% 0 0 .

% 5 0 .

% 7 1 .

% 3 0 .

% 9 2 .

.

% 0 0 0 1 e m u l o V % ) a H ( a e r A % ) a H ( a e r A % ) t m ( .

6 1 2 2 .

7 1 6 6 .

7 6 4 1 .

5 6 4 .

3 0 .

6 6 5 3 .


1 4 1 2 .

8 7 9 2 1 , .

5 3 7 2 2 , .

2 1 8 5 8 7 , % 2 1 .

% 1 1 .

% 6 0 .

% 0 0 .

% 0 0 .

% 6 0 .

% 5 1 .

% 2 0 .

% 1 9 1 .

.

% 0 0 0 1 .

9 3 7 .

2 6 6 .

7 6 3 .

0 0 .

7 5 3 .

5 6 8 .

7 0 1 .

8 6 3 1 1 , .

8 6 3 9 5 , % 4 0 .

% 0 2 .

% 3 0 .

% 1 0 .

% 0 0 .

% 7 1 .

% 3 3 .

% 5 0 .

.

2 3 1 .

9 2 6 .

3 0 1 5 2 .

0 0 .

.

3 3 5 .

9 3 0 1 .

4 5 1 % 5 0 2 .

.

3 7 4 6 .

% 0 0 0 1 .

2 1 6 1 3 , % 7 0 .

% 7 0 .

% 8 5 .


% 1 0 .

% 0 0 .

% 8 0 .

% 6 0 .

% 4 0 .

% 7 2 .

.
% 0 0 0 1 d e t n a l P t n u o C 9 6 2 1 0 4 , 7 6 5 4 1 4 , , 1 8 3 0 8 3 3 , 2 5 5 2 5 1 1 6 , 4 7 1 8 6 4 , 9 8 2 2 4 3 , 3 7 9 3 5 2 , , 7 9 5 9 9 5 1 , , 1 5 1 1 0 5 8 5 , , 7 3 3 2 , ) u o r u o R ( / s a e r A / s t n a l P / d l o h e s u o H / n o i s i v i D y b s p o r C y r a r o p m e T : 3 .
4 e l b a T General Table & Descriptive Analysis Report 148 - / s a e r A / : 4 .

4 e l b a T % % 3 8 3 .

% 5 2 1 .

% 6 0 1 .

% 7 8 3 .

.

% 0 0 0 1 % 5 2 2 3 .

% 3 8 5 .

% 0 7 9 .

% 2 2 2 .

.


% 0 0 0 1 % 9 3 1 .

% 2 4 .

% 0 6 7 .

% 8 5 .

.

% 0 0 0 1 % 0 4 .

% 0 0 .

% 6 0 .

% 4 5 9 .

.

% 0 0 0 1 % 6 7 9 .

% 0 0 .

% 9 0 .

% 5 1 .

.

% 0 0 0 1 p o r C y r a r o p e u l a V ' ) 0 0 0 D J F ( % ) t M ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A .

3 9 7 8 9 4 4 , .

5 2 4 3 6 4 1 , .

8 5 3 1 4 2 1 , .

2 6 6 0 5 5 4 , .

9 3 2 4 5 7 1 1 , .

2 5 3 6 2 9 , .

4 8 4 7 6 1 , .

7 4 6 8 7 2 , .

0 2 8 3 6 , .

3 0 3 6 3 4 1 , .

0 1 2 1 4 7 7 2 , .


0 2 4 3 5 4 8 , .

0 1 8 3 7 5 1 1 , .

0 4 1 6 8 2 1 5 1 , , .

0 8 5 4 5 0 9 9 1 , , 2 1 3 .

.

1 4 6 6 2 .

4 0 2 7 7 1 , .

6 1 0 5 1 2 4 , .

2 7 1 9 1 4 4 , 1 2 5 .

.

3 4 3 0 1 .

1 1 2 7 1 .

6 3 4 5 3 1 1 , .

1 1 5 3 6 1 1 , % 5 8 3 .

% 9 0 1 .

% 4 0 1 .

% 2 0 4 .

.

% 0 0 0 1 % 2 3 3 .

% 5 5 .

% 2 9 .

% 1 2 .

.

% 0 0 0 1 % 0 2 2 .

% 1 4 .

% 6 4 6 .

% 2 9 .

.

% 0 0 0 1 % 3 5 .

% 0 0 .

% 7 0 .

% 0 4 9 .

.

% 0 0 0 1 % 6 7 9 .

% 0 0 .


% 9 0 .

% 5 1 .

.

% 0 0 0 1 .

6 1 4 4 2 5 4 , .

2 4 2 1 8 2 1 , .

1 0 4 0 2 2 1 , .

3 2 0 0 3 7 4 , .

2 8 0 6 5 7 1 1 , .

2 8 9 8 7 6 , .

9 3 0 3 1 1 , .

8 5 8 7 8 1 , .

5 6 3 3 4 , .

3 4 2 3 2 0 1 , .

7 2 5 1 4 5 , .

4 3 3 1 0 1 , .

3 0 8 0 9 5 1 , .

3 5 3 7 2 2 , .

6 8 7 0 6 8 7 0 .

2 9 6 7 .

.

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9 1 3 0 8 0 1 , .

5 7 8 8 4 1 1 , 7 4 3 .

3 5 9 8 .

.

5 6 4 5 1 .

8 5 9 0 9 9 , .

3 2 7 5 1 0 1 , % 5 8 3 .

% 9 0 1 .


% 4 0 1 .

% 2 0 4 .

.

% 0 0 0 1 % 2 3 3 .

% 5 5 .

% 2 9 .

% 1 2 .

.

% 0 0 0 1 % 0 2 2 .

% 1 4 .

% 6 4 6 .

% 2 9 .

.

% 0 0 0 1 % 3 5 .

% 0 0 .

% 7 0 .

% 0 4 9 .

.

% 0 0 0 1 % 6 7 9 .

% 0 0 .

% 9 0 .

% 5 1 .

.

1 2 2 6 2 2 , .

2 6 0 4 6 .

0 2 0 1 6 .

1 0 5 6 3 2 , .

4 0 8 7 8 5 , .

9 4 9 3 3 , .

2 5 6 5 .

3 9 3 9 .

8 6 1 2 .

2 6 1 1 5 , .

7 6 6 0 5 .

4 6 7 0 7 2 , .

1 0 4 5 9 7 , .

7 7 6 3 1 1 , .

9 0 5 0 3 2 1 , 2 5 0 4 .

5 0 0 .


3 1 5 .

.

6 4 0 2 7 .

7 1 6 6 7 .

8 3 6 9 3 4 1 0 .

8 5 3 .

9 1 6 .

% 0 5 2 .

% 2 3 .

% 0 6 1 .

% 7 5 5 .

.

% 0 0 0 1 % 8 0 3 .

% 1 4 .

% 1 2 1 .

% 0 3 .

.

% 0 0 0 1 % 2 8 1 .

% 1 5 1 .

% 8 6 5 .

% 0 0 1 .

.

% 0 0 0 1 % 2 5 1 .

% 0 0 .

% 7 5 .

% 1 9 7 .

.

% 0 0 0 1 % 6 5 9 .

% 1 0 .

% 7 3 .

% 6 0 .

.

3 4 6 7 6 0 5 7 8 .

.

9 3 3 3 4 .

9 0 6 0 5 1 , .

1 4 3 0 7 2 , .

7 9 1 3 1 , .

5 4 7 1 .

9 0 2 5 .

1 9 2 1 .

2 4 4 1 2 , .


3 8 5 7 9 .

0 7 9 7 1 1 , .

2 7 0 8 6 3 , .

3 3 7 4 6 .

9 5 3 8 4 6 , 5 1 1 2 .

2 0 0 .

9 8 7 .

.

2 8 9 0 1 .

9 8 8 3 1 .

8 1 1 1 1 7 0 0 .

2 3 4 .

4 7 0 .

.

% 0 0 0 1 .

9 2 6 0 4 .

% 0 0 0 1 .
) i d n i h B ( a r k O General Table & Descriptive Analysis Report 149 149 - / s a e r A / : 4 .
4 e l b a T % % 2 0 .

% 4 2 9 .

% 4 7 .

.

% 0 0 0 1 % 5 9 8 .

% 0 0 .

% 6 0 .

% 9 9 .

.

% 0 0 0 1 % 5 4 3 .

% 2 2 .

% 1 1 .

% 1 2 6 .

.

% 0 0 0 1 % 0 9 .

% 1 0 .

% 4 2 6 .

% 4 8 2 .

.

% 0 0 0 1 % 9 0 .

% 6 4 9 .

% 5 4 .

.

% 0 0 0 1 p o r C y r a r o p 7 6 7 4 .

e u l a V ' ) 0 0 0 D J F ( .

8 5 3 5 2 2 2 , .

8 3 9 7 7 1 , .

4 6 0 8 0 4 2 , .

8 9 9 0 1 9 , 6 6 1 .

.

6 1 2 6 .

5 1 0 1 0 1 , .

1 0 7 8 1 1 3 6 9 .

.

6 9 3 8 1 0 1 , .

2 8 9 3 9 2 , .

3 9 1 9 2 5 , 7 6 8 .

.


3 8 5 3 7 .

7 0 5 1 5 8 , .

5 4 8 8 0 5 , .

0 3 7 1 3 2 , .

4 2 0 5 1 8 , .

5 8 4 4 .

1 0 5 7 5 4 , .

0 4 8 1 2 .

6 2 8 3 8 4 , % 8 0 .

% 2 9 8 .

% 0 0 1 .

.

% 0 0 0 1 % 4 8 8 .

% 0 0 .

% 8 0 .

% 8 0 1 .

.

% 0 0 0 1 % 8 8 3 .

% 0 2 .

% 1 1 .

% 2 8 5 .

.

% 0 0 0 1 % 0 0 1 .

% 1 0 .

% 3 1 6 .

% 5 8 2 .

.

% 0 0 0 1 % 0 1 .

% 6 4 9 .

% 4 4 .

.

% 0 0 0 1 .

2 6 6 5 .

0 2 1 7 6 .

6 6 6 1 0 6 , .

8 4 4 4 7 6 , .

5 9 0 4 4 5 , 6 3 1 .


8 2 9 4 .

.

2 7 1 6 6 .

2 3 3 5 1 6 , .

5 8 8 2 2 2 , .

0 8 3 1 1 .

7 0 2 6 .

8 2 4 4 3 3 , 9 2 5 .

.

7 3 7 5 4 .

9 9 8 4 7 5 , .

2 3 1 9 7 2 , .

5 7 7 9 2 1 , .

3 7 1 5 5 4 , 5 8 4 3 .

.

1 0 8 7 1 3 , .

0 7 6 4 1 .

6 5 9 5 3 3 , % 8 0 .

% 2 9 8 .

% 0 0 1 .

.

% 0 0 0 1 % 4 8 8 .

% 0 0 .

% 8 0 .

% 8 0 1 .

.

% 0 0 0 1 % 8 8 3 .

% 0 2 .

% 1 1 .

% 2 8 5 .

.

% 0 0 0 1 % 0 0 1 .

% 1 0 .

% 3 1 6 .

% 5 8 2 .

.

% 0 0 0 1 % 0 1 .

% 6 4 9 .


% 4 4 .

.

% 0 0 0 1 4 4 9 .

.

8 7 2 0 0 1 , .

7 8 1 1 1 .

8 0 4 2 1 1 , 4 1 0 .

3 9 4 .

.

0 1 4 4 5 7 1 6 6 .

.

3 3 5 1 6 .

9 8 2 2 2 8 3 1 1 .

1 2 6 .

.

3 4 4 3 3 .

0 9 4 7 5 9 4 0 3 .

5 3 0 .

.

9 0 6 8 1 2 5 6 8 .

.

5 4 3 0 3 1 7 8 .

.

0 5 4 9 7 8 6 6 3 .

.

9 8 9 3 8 % 8 3 .

% 9 1 1 .

% 4 4 8 .

.

% 0 0 0 1 % 4 9 2 .

% 0 0 .

% 8 1 .

% 8 8 6 .

.

% 0 0 0 1 % 7 8 3 .

% 6 2 .

% 8 3 .

% 9 4 5 .

.

% 0 0 0 1 % 3 8 1 .

% 3 0 .


% 8 3 3 .

% 6 7 4 .

.

% 0 0 0 1 % 4 3 .

% 5 5 9 .

% 1 1 .

.

% 0 0 0 1 9 6 1 .

3 3 5 .

1 8 7 3 .

2 8 4 4 .

6 8 6 2 .

2 0 0 .

1 6 1 .

3 9 2 6 .

3 4 1 9 .

4 9 2 4 .

4 8 2 .

6 2 4 .

3 8 0 6 .

.

6 8 0 1 1 3 0 0 4 .

6 5 0 .

7 8 3 7 .

.

2 9 3 0 1 .

7 3 8 1 2 7 4 1 3 .

.

9 1 6 8 8 6 2 0 1 .

.
1 9 7 2 9 % ) t M ( e m u l o V % ) a H ( a e r A % ) a H ( General Table & Descriptive Analysis Report 150 - / s a e r A / : 4 .
4 e l b a T % % 6 6 .

% 1 2 .

% 4 4 2 .

% 9 6 6 .

.

% 0 0 0 1 % 1 6 2 .

% 4 0 .

% 9 1 .

% 6 1 7 .

.

% 0 0 0 1 % 8 5 7 .

% 1 0 .

% 8 4 .

% 2 9 1 .

.

% 0 0 0 1 % 3 8 1 .

% 1 0 .

% 9 7 1 .

% 8 3 6 .

.

% 0 0 0 1 % 0 5 .

% 5 0 6 .

% 8 5 1 .

% 7 8 1 .

.

% 0 0 0 1 p o r C y r a r o p .

9 3 3 9 2 .

9 6 4 9 e u l a V ' ) 0 0 0 D J F ( .

9 7 5 8 0 1 , .

6 4 6 7 9 2 , .

3 3 0 5 4 4 , .

8 4 3 3 1 1 , 6 8 7 1 .

8 5 2 8 .

.

5 7 8 0 1 3 , .

6 6 2 4 3 4 , 7 8 1 .

.

8 7 0 0 1 .


6 5 1 0 4 .

0 5 2 8 5 1 , .

2 7 6 8 0 2 , .

3 5 1 9 7 7 4 2 .

.

2 1 4 7 7 .

8 0 7 6 7 2 , .

1 2 5 3 3 4 , .

0 5 8 0 1 .

5 2 3 2 3 1 , .

0 8 5 4 3 .

5 0 0 1 4 .

1 6 7 8 1 2 , % 5 6 .

% 1 2 .

% 9 1 2 .

% 5 9 6 .

.

% 0 0 0 1 % 0 9 2 .

% 5 0 .

% 6 2 .

% 0 8 6 .

.

% 0 0 0 1 % 5 6 7 .

% 1 0 .

% 4 4 .

% 0 9 1 .

.

% 0 0 0 1 % 8 7 1 .

% 1 0 .

% 0 8 1 .

% 1 4 6 .

.

% 0 0 0 1 % 1 5 .

% 5 9 5 .

% 0 7 1 .

% 4 8 1 .

.

% 0 0 0 1 .


7 7 3 8 1 0 8 7 5 .

.

6 5 5 1 6 .

3 7 7 5 9 1 , .

5 0 3 1 5 2 6 8 .

.

5 1 5 4 .

6 8 4 1 8 2 , .

0 6 3 0 2 1 , .

3 4 0 7 7 1 , .

6 0 6 4 2 1 , 4 1 1 .

2 7 1 7 .

.

6 1 0 1 3 .

8 0 9 2 6 1 , .

5 9 8 2 2 4 7 0 .

.

0 8 1 3 2 .

5 4 3 2 8 .

4 9 4 8 2 1 , 2 8 9 5 .

.

4 4 4 9 6 .

3 1 8 9 1 .

5 0 4 1 2 .

4 4 6 6 1 1 , % 5 6 .

% 1 2 .

% 9 1 2 .

% 5 9 6 .

.

% 0 0 0 1 % 0 9 2 .

% 5 0 .

% 6 2 .

% 0 8 6 .

.

% 0 0 0 1 % 5 6 7 .

% 1 0 .


% 4 4 .

% 0 9 1 .

.

% 0 0 0 1 % 8 7 1 .

% 1 0 .

% 0 8 1 .

% 1 4 6 .

9 1 9 .

9 8 2 .

8 7 0 3 .

9 8 7 9 .

.

4 7 0 4 1 5 7 2 4 .

2 7 0 .

6 7 3 .

.

0 3 0 0 1 .

4 5 7 4 1 .

4 8 3 0 1 0 1 0 .

8 9 5 .

5 8 5 2 .

.

6 7 5 3 1 0 9 2 2 .

7 0 0 .

8 1 3 2 .

5 3 2 8 .

.

% 0 0 0 1 .

9 4 8 2 1 % 1 5 .

% 5 9 5 .

% 0 7 1 .

% 4 8 1 .

.

% 0 0 0 1 9 9 2 .

2 7 4 3 .

1 9 9 .

0 7 0 1 .

2 3 8 5 .

% 8 7 .

% 3 0 .

% 2 9 .

% 8 2 8 .

.


% 0 0 0 1 % 6 2 4 .

% 7 0 .

% 6 1 1 .

% 1 5 4 .

.

% 0 0 0 1 % 5 7 4 .

% 2 0 .

% 8 6 .

% 6 5 4 .

.

% 0 0 0 1 % 0 1 2 .

% 0 0 .

% 6 8 1 .

% 4 0 6 .

.

% 0 0 0 1 % 8 1 1 .

% 5 8 1 .

% 6 7 3 .

% 1 2 3 .

.

% 0 0 0 1 6 3 0 1 .

8 3 0 .

4 2 2 1 .

.

4 2 0 1 1 .

2 2 3 3 1 6 0 8 1 .

0 3 0 .

1 9 4 .

1 1 9 1 .

8 3 2 4 .

6 2 7 2 .

9 0 0 .

9 8 3 .

2 2 6 2 .

5 4 7 5 .

4 8 8 1 .

2 0 0 .

6 6 6 1 .

0 1 4 5 .

1 6 9 8 .

4 6 5 .

8 8 8 .


2 0 8 1 .

2 4 5 1 .

6 9 7 4 .
% ) t M ( e m u l o V % ) a H ( a e r A % ) a H ( General Table & Descriptive Analysis Report 151 151 - / s a e r A / : 4 .
4 e l b a T % % 2 0 .

% 0 0 .

% 8 6 .

% 0 3 9 .

.

% 0 0 0 1 % 4 1 1 .

% 8 0 .

% 3 6 1 .

% 5 1 7 .

.

% 0 0 0 1 % 2 3 2 .

% 1 0 .

% 9 6 .

% 9 9 6 .

.

% 0 0 0 1 % 0 9 2 .

% 3 0 .

% 0 0 1 .

% 8 0 6 .

.

% 0 0 0 1 % 0 3 2 .

% 6 8 1 .

% 3 8 4 .

% 1 0 1 .

.

% 0 0 0 1 p o r C y r a r o p - 6 1 4 .

.

0 5 9 2 1 e u l a V ' ) 0 0 0 D J F ( .

3 9 9 7 7 1 , .

0 6 3 1 9 1 , .

2 6 6 1 1 8 9 7 .

.

8 8 5 6 1 .

5 0 0 3 7 .

2 5 0 2 0 1 , .

0 4 1 9 1 1 6 0 .

.

0 5 6 5 .

8 0 6 7 5 .


9 5 4 2 8 .

8 8 5 9 2 1 6 2 .

.

5 8 1 0 1 .

9 7 0 2 6 .

3 1 1 2 0 1 , .

3 3 6 7 2 .

3 1 3 2 2 .

7 8 9 7 5 .

8 7 1 2 1 .

1 1 1 0 2 1 , % % 2 0 .

% 0 0 .

% 7 6 .

% 1 3 9 .

.

% 0 0 0 1 % 8 8 .

% 6 0 .

% 9 4 1 .

% 7 5 7 .

.

% 0 0 0 1 % 4 3 1 .

% 1 0 .

% 0 6 .

% 6 0 8 .

.

% 0 0 0 1 % 1 9 2 .

% 2 0 .

% 1 7 .

% 6 3 6 .

.

% 0 0 0 1 % 0 3 2 .

% 6 8 1 .

% 3 8 4 .

% 1 0 1 .

.

% 0 0 0 1 - 2 2 2 .

7 0 1 7 .

.

8 2 3 8 9 .

7 5 6 5 0 1 , .


6 5 2 8 8 1 5 .

.

5 9 9 3 1 .

9 3 0 1 7 .

8 0 8 3 9 .

3 5 8 7 8 3 0 .

4 8 4 3 .

.

0 5 1 7 4 .

4 2 5 8 5 .

7 0 3 6 1 5 0 1 .

5 8 9 3 .

.

3 6 6 5 3 .

0 6 0 6 5 .

3 5 0 1 1 .

5 2 9 8 .

5 9 1 3 2 1 7 8 4 .

.

5 4 0 8 4 % 2 0 .

% 0 0 .

% 7 6 .

% 1 3 9 .

.

% 0 0 0 1 % 8 8 .

% 6 0 .

% 9 4 1 .

% 7 5 7 .

.

% 0 0 0 1 % 4 3 1 .

% 1 0 .

% 0 6 .

% 6 0 8 .

.

% 0 0 0 1 % 1 9 2 .

% 2 0 .

% 1 7 .

% 6 3 6 .

.

% 0 0 0 1 % 0 3 2 .

% 6 8 1 .


% 3 8 4 .

% 1 0 1 .

.

% 0 0 0 1 4 7 0 .

9 6 3 2 .

.

6 7 7 2 3 .

9 1 2 5 3 3 1 4 .

6 2 0 .

0 0 7 .

2 5 5 3 .

0 9 6 4 .

4 5 6 .

3 0 0 .

0 9 2 .

9 2 9 3 .

7 7 8 4 .

1 3 6 1 .

0 1 0 .

8 9 3 .

6 6 5 3 .

6 0 6 5 .

1 2 9 .

4 4 7 .

3 3 9 1 .

6 0 4 .

4 0 0 4 .

% 2 0 .

% 0 0 .

% 8 5 .

% 9 3 9 .

.

% 0 0 0 1 % 1 5 .

% 1 2 .

% 9 1 1 .

% 0 1 8 .

.

% 0 0 0 1 % 7 2 5 .

% 1 0 .

% 5 6 .

% 7 0 4 .

.

% 0 0 0 1 % 1 7 1 .

% 2 0 .

% 0 6 .


% 7 6 7 .

.

% 0 0 0 1 % 9 2 2 .

% 1 8 .

% 3 7 3 .

% 7 1 3 .

.

% 0 0 0 1 8 1 0 .

0 0 0 .

6 8 4 .

6 2 8 7 .

0 3 3 8 .

3 0 2 .

4 8 0 .

7 7 4 .

0 5 2 3 .

5 1 0 4 .

2 3 6 .

1 0 0 .

8 7 0 .

8 8 4 .

9 9 1 1 .

1 9 1 1 .

2 1 0 .

6 1 4 .

9 2 3 5 .

9 4 9 6 .

0 9 9 .

8 4 3 .

1 1 6 1 .

1 7 3 1 .

0 2 3 4 . )
t M ( e m u l o V % ) a H ( a e r A % ) a H ( General Table & Descriptive Analysis Report 152 % % 9 3 2 .
% 2 4 .

% 0 2 7 .

.

% 0 0 0 1 % 1 5 4 .

% 1 9 .

% 5 8 2 .

% 3 7 1 .

.

% 0 0 0 1 % 2 1 4 .

% 7 1 .

% 0 2 2 .

% 1 5 3 .

.

% 0 0 0 1 % 1 6 1 .

% 9 0 .

% 3 2 .

% 6 0 8 .

.

% 0 0 0 1 % 1 1 .

% 7 3 3 .

% 6 1 4 .

% 6 3 2 .

.

8 9 2 6 2 .

5 4 5 0 5 1 , .

6 2 6 3 5 4 , .

7 8 4 2 1 1 2 5 2 .

4 8 8 7 .

6 8 7 4 .

.

7 7 6 7 2 .

9 7 4 3 1 8 6 5 .

9 1 2 7 .

.

1 8 4 1 1 .

8 4 7 2 3 5 1 5 5 .

8 0 3 .

1 0 8 .

.

6 6 5 7 2 .

0 9 1 4 3 5 0 2 .

7 6 4 6 .

6 9 9 7 .

4 3 5 4 .

.


9 6 4 0 3 6 , .

% 0 0 0 1 .

2 0 2 9 1 % 6 0 2 .

% 8 3 .

% 6 5 7 .

.

% 0 0 0 1 % 2 4 4 .

% 6 7 .

% 7 5 2 .

% 5 2 2 .

.

5 4 0 6 .

8 0 1 1 .

7 5 1 2 2 .

0 1 3 9 2 .

1 3 7 9 .

1 6 6 1 .

0 6 6 5 .

4 4 9 4 .

% 0 0 0 1 .

5 9 9 1 2 % 1 1 4 .

% 7 1 .

% 0 2 2 .

% 2 5 3 .

.

% 0 0 0 1 % 7 4 1 .

% 9 0 .

% 4 2 .

% 0 2 8 .

.

% 0 0 0 1 % 2 1 .

% 0 9 2 .

% 1 9 4 .

% 7 0 2 .

.

% 0 0 0 1 8 3 4 5 .

7 2 2 .

.

8 1 9 2 .

3 5 6 4 .

6 3 2 3 1 .


4 8 2 1 4 7 0 .

8 0 2 .

.

9 3 1 7 .

5 0 7 8 8 8 0 .

.

9 0 2 2 .

6 3 7 3 .

0 7 5 1 .

3 0 6 7 % 6 0 2 .

% 8 3 .

% 6 5 7 .

.

% 0 0 0 1 % 2 4 4 .

% 6 7 .

% 7 5 2 .

% 5 2 2 .

.

% 0 0 0 1 % 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

.

% 0 0 0 1 % 7 4 1 .

% 9 0 .

% 4 2 .

% 0 2 8 .

.

% 0 0 0 1 % 2 1 .

% 0 9 2 .

% 1 9 4 .

% 7 0 2 .

.

% 0 0 0 1 5 1 0 2 .

9 6 3 .

6 8 3 7 .

0 7 7 9 .

7 8 4 .

3 8 0 .

3 8 2 .

7 4 2 .

0 0 1 1 .

- - - - 7 0 1 .


6 0 0 .

7 1 0 .

5 9 5 .

5 2 7 .

9 0 0 .

1 2 2 .

4 7 3 .

7 5 1 .

0 6 7 .

% 2 6 .

% 8 4 2 .

% 0 9 6 .

.

% 0 0 0 1 % 8 8 1 .

% 4 2 1 .

% 1 5 3 .

% 7 3 3 .

.

% 0 0 0 1 % 8 9 1 .

% 0 0 .

% 1 8 .

% 1 2 7 .

.

% 0 0 0 1 % 1 6 .

% 7 5 .

% 7 6 2 .

% 6 1 6 .

.

% 0 0 0 1 % 7 3 .

% 4 7 2 .

% 4 1 3 .

% 5 7 3 .

.

% 0 0 0 1 8 1 1 .

5 7 4 .

9 1 3 1 .

2 1 9 1 .

5 1 3 .

8 0 2 .

8 8 5 .

4 6 5 .

5 7 6 1 .

9 6 0 .

- 8 2 0 .

2 5 2 .

9 4 3 .


7 4 0 .

4 4 0 .

9 0 2 .

2 8 4 .

2 8 7 .

5 2 0 .

7 8 1 .

4 1 2 .

6 5 2 .

3 8 6 .


p o r C y r a r o p e u l a V ' ) 0 0 0 D J F ( % ) t M ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A - / s a e r A / : 4 .
) u o r u o R ( m u c i s p a C i a w a K General Table & Descriptive Analysis Report 153 153 - / s a e r A / : 4 .
4 e l b a T % % 7 0 3 .

% 1 1 .

% 8 8 .

% 4 9 5 .

.

% 0 0 0 1 % 9 9 1 .

% 4 0 .

% 8 8 .

% 0 1 7 .

.

% 0 0 0 1 % 4 7 5 .

% 5 0 .

% 1 2 4 .

p o r C y r a r o p e u l a V ' ) 0 0 0 D J F ( 4 7 7 5 .

4 0 2 .

5 5 6 1 .

.

3 5 1 1 1 .

5 8 7 8 1 .

6 8 1 4 7 7 0 .

.

8 3 8 1 .

6 0 9 4 1 .

8 0 0 1 2 5 9 3 6 .

5 5 0 .

.

9 8 6 4 .

% 0 0 0 1 .

9 3 1 1 1 % 5 5 1 .

% 4 0 3 .

% 2 3 5 .

% 0 1 .

.

% 0 0 0 1 % 0 5 4 .

% 0 0 .

% 4 1 4 .

% 6 3 1 .

1 2 7 1 .

1 7 3 3 .

8 9 8 5 .

7 0 1 .

.


7 9 0 1 1 7 5 4 8 .

- 0 9 7 7 .

.

6 5 5 2 .

% 0 0 0 1 .

3 0 8 8 1 % 5 3 3 .

% 0 1 .

% 7 7 .

% 9 7 5 .

.

% 0 0 0 1 % 6 5 1 .

% 3 0 .

% 9 6 .

% 3 7 7 .

.

% 0 0 0 1 % 7 7 5 .

% 5 0 .

% 8 1 4 .

.

% 0 0 0 1 % 7 4 1 .

% 6 6 2 .

% 7 7 5 .

% 0 1 .

.

% 0 0 0 1 % 0 4 4 .

% 0 0 .

% 6 2 4 .

% 4 3 1 .

.

% 0 0 0 1 .

5 0 1 2 1 6 0 .

2 8 4 .

.

4 3 6 3 .

2 8 2 6 3 3 7 .

4 1 0 .

2 2 3 .

9 2 6 3 .

7 9 6 4 .

.

9 6 2 2 8 1 0 .

2 4 6 1 .


9 2 9 3 .

3 8 4 .

1 7 8 .

.

8 8 8 1 4 3 0 .

5 7 2 3 .

.

3 7 0 1 - 8 3 0 1 .

8 2 3 .

8 3 4 2 .

% 5 3 3 .

% 0 1 .

% 7 7 .

% 9 7 5 .

.

% 0 0 0 1 % 6 5 1 .

% 3 0 .

% 9 6 .

% 3 7 7 .

.

% 0 0 0 1 % 7 7 5 .

% 5 0 .

% 8 1 4 .

.

% 0 0 0 1 % 7 4 1 .

% 6 6 2 .

% 7 7 5 .

% 0 1 .

.

% 0 0 0 1 % 0 4 4 .

% 0 0 .

% 6 2 4 .

% 4 3 1 .

.

% 0 0 0 1 0 1 2 .

6 0 0 .

8 4 0 .

3 6 3 .

8 2 6 .

2 9 0 .

2 0 0 .

0 4 0 .

4 5 4 .

7 8 5 .

7 2 2 .

2 0 0 .


4 6 1 .

3 9 3 .

4 2 0 .

4 4 0 .

4 9 0 .

2 0 0 .

4 6 1 .

4 3 1 .

0 3 1 .

1 4 0 .

5 0 3 .

% 7 3 1 .

% 1 0 .

% 3 1 1 .

% 9 4 7 .

.

% 0 0 0 1 % 0 9 3 .

% 1 1 .

% 5 4 1 .

% 4 5 4 .

.

% 0 0 0 1 % 8 5 1 .

% 6 1 1 .

% 6 2 7 .

.

% 0 0 0 1 % 0 9 1 .

% 3 3 1 .

% 9 3 6 .

% 9 3 .

.

% 0 0 0 1 % 6 4 2 .

% 0 0 .

% 4 9 2 .

% 9 5 4 .

.

% 0 0 0 1 1 9 0 .

1 0 0 .

6 7 0 .

1 0 5 .

9 6 6 .

8 8 0 .

2 0 0 .

3 3 0 .

2 0 1 .

5 2 2 .

6 7 0 .


6 5 0 .

9 4 3 .

1 8 4 .

6 1 0 .

2 1 0 .

5 5 0 .

3 0 0 .

7 8 0 .

3 7 0 .

0 0 0 .

7 8 0 .

6 3 1 .

6 9 2 .
% ) t M ( e m u l o V % ) a H ( a e r A % ) a H ( ) r e d n a i r r o C ( a i n a h D General Table & Descriptive Analysis Report 154 - / s a e r A / : 4 .
4 e l b a T % % 9 2 3 .

% 7 0 .

% 4 6 6 .

.

% 0 0 0 1 % 0 3 7 .

% 5 0 .

% 0 3 1 .

% 5 3 1 .

p o r C y r a r o p e u l a V ' ) 0 0 0 D J F ( 1 0 1 5 .

9 0 1 .

.

2 1 3 0 1 .

1 2 5 5 1 3 4 3 2 .

6 1 0 .

7 1 4 .

5 3 4 .

.

% 0 0 0 1 1 1 2 3 .

% 1 3 3 .

% 7 0 .

% 2 6 6 .

.

% 0 0 0 1 % 6 8 6 .

% 4 0 .

% 3 6 1 .

% 7 4 1 .

.

% 0 0 0 1 9 1 6 .

3 1 0 .

0 4 2 1 .

1 7 8 1 .

.

9 7 0 1 6 0 0 .

7 5 2 .

1 3 2 .

.

2 7 5 1 % 1 3 3 .

% 7 0 .

% 2 6 6 .

.

% 0 0 0 1 % 9 4 5 .

% 2 0 .


% 5 7 2 .

% 4 7 1 .

.

% 0 0 0 1 3 0 1 .

2 0 0 .

7 0 2 .

2 1 3 .

5 0 1 .

0 0 0 .

3 5 0 .

3 3 0 .

2 9 1 .

% 4 9 2 .

% 2 5 3 .

% 5 5 3 .

.

% 0 0 0 1 % 7 3 .

% 0 0 .

% 4 5 .

% 9 0 9 .

.

% 0 0 0 1 4 0 1 .

4 2 1 .

5 2 1 .

4 5 3 .

7 7 1 .

0 0 0 .

0 6 2 .

0 8 3 4 .

7 1 8 4 .
% ) t M ( e m u l o V % ) a H ( a e r A % ) a H ( General Table & Descriptive Analysis Report 155 155 PRODUCTION OF TEMPORARY CROPS IN CENTRAL DIVISION BY PROVINCE It can be seen that in the area planted for temporary crops in Central Division, Naitasiri province had the highest proportion of 49.9%, followed by Tailevu province with 25.5%, Namosi province with 12.0%, Rewa and Serua Province both had 6.78%.
Naitasiri province dominated area harvested, volume and value of production with 65.8%, 72.5% and 74.9% in order.
Table 4.5: Distribution of Areas, Production and Value of Temporary Crops in Central Division by Province Province Area Planted Area Harvested Volume Harvested Area (Ha) 1,784.6 427.4 242.5 242.4 876.9 3,573.7 % 49.9% 12.0% 6.8% 6.8% 24.5% 100.0% Area (Ha) 6,492.7 396.3 1,322.2 295.9 1,364.0 9,871.0 % Volume(Mt) % 65.8% 4.0% 13.4% 3.0% 13.8% 100.0% 72.5% 101,709.0 3.2% 4,460.7 5.3% 7,498.9 3.2% 4,421.8 22,181.3 15.8% 140,271.7 100.0% Naitasiri Namosi Rewa Serua Tailevu Total Value of Harvested Temporary Crop % Value (FJD'000) 74.94% 335,736.9 3.11% 13,941.7 9.35% 41,908.0 3.77% 16,890.5 39,518.5 8.82% 447,995.6 100.00% Cassava had the highest proportion of volume harvested with 43.3%, followed by Dalo with 25.9%, Ginger with10.2%, Pumpkin and Yaqona with 5.6% and 5.5% respectively, Sweet Potato (Kumala) with 2.3%, Cucumber with 1.3% and other crops with less than one percent during the census reference period.
In terms of area planted for temporary crops during the census reference period, Dalo and Yaqona recorded the highest with 36.9% and 33.0% respectively, followed by cassava with 18.9%, Ginger with 3.1%, Sweet Potato with 1.2%, Watermelon with 1.1% and others had less than one percent.

General Table & Descriptive Analysis Report 156 % % 4 0 0 .

% 1 0 0 .

% 0 0 0 .

% 1 5 8 .

% 8 2 0 .

% 0 0 0 .

% 6 3 0 .

% 6 5 1 2 .

% 2 0 0 .

% 2 0 0 .

% 4 0 0 .

% 2 0 0 .

% 0 0 0 .

% 2 3 3 .

% 7 7 0 .


% 1 0 0 .

% 3 1 0 .

% 0 0 0 .

% 1 0 0 .

% 3 4 0 .

% 0 0 0 .

% 0 6 2 .

.

7 5 3 1 .

1 0 3 .

9 6 .

4 2 6 5 8 2 , 2 0 .

.

0 7 3 9 .

9 5 1 2 1 , .

2 8 5 .

1 1 8 .

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8 1 8 .

4 2 .

1 8 8 3 2 7 , .

7 0 5 1 1 1 , .

6 6 7 5 2 , .

8 9 3 .

2 1 2 4 .

4 0 .

0 0 5 .

5 0 1 .

6 6 4 4 1 , .

5 4 4 7 8 , a % 3 0 0 .

% 0 0 0 .

.

5 8 8 2 0 .

% 1 0 .

% 0 0 .

% 0 0 .

% 3 7 2 .

% 4 0 .

% 0 0 .

% 0 1 .

% 3 1 5 .

% 1 0 .

% 0 0 .

% 1 0 .


% 1 0 .

% 0 0 .

% 6 9 .

% 0 2 .

% 0 0 .

% 1 0 .

% 0 0 .

% 0 0 .

% 5 0 .

% 0 0 .

% 1 5 .

% 0 0 .

% 0 0 .

.

8 2 5 .

1 2 1 8 1 .

.

9 0 7 7 7 2 , 1 0 .

.

6 8 0 4 .

6 4 7 9 .

6 1 7 1 2 5 , .

6 7 5 .

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.

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4 5 9 9 1 , 0 7 .

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9 7 1 1 2 0 .

0 6 .

2 3 .

.

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% 4 1 2 .

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% 0 0 .

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% 0 0 .

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0 1 .

1 0 .

.

5 8 8 3 1 , % 3 0 .

% 2 0 .

% 0 0 .

9 4 .

6 3 .

1 0 .

% 6 2 2 .

% 7 1 0 .

% 1 0 0 .

% 6 4 1 .

.

1 0 6 2 % 0 1 8 1 .

.

1 4 3 0 0 .

.

2 1 8 % 7 0 .

% 0 0 .

% 8 0 .

.

5 2 1 6 0 .

.

1 4 1 % 3 9 1 .

% 6 0 0 .

% 4 6 1 .

0 7 8 7 4 5 , 0 8 7 6 1 , 6 6 0 6 6 4 , 9 2 .

3 1 .

5 4 .

6 2 .

1 0 .

.


1 0 9 3 .

5 9 9 1 9 0 .

.

8 1 1 1 0 .

0 1 .

.

3 4 3 3 0 .

.

9 7 1 5 0 0 .

.

6 8 0 6 2 , % 3 3 4 .

.

2 2 7 7 % 8 5 3 3 .

% 1 0 .

% 0 0 .

% 2 0 .

% 1 0 .

% 0 0 .

% 8 5 .

% 9 1 .

% 0 0 .

% 3 0 .

% 0 0 .

% 0 0 .

% 8 0 .

% 0 0 .

% 1 1 .

% 0 0 .

% 0 0 .

6 1 .

5 0 .

0 3 .

9 0 .

2 0 .

.

8 2 0 1 .

8 3 3 7 0 .

7 4 .

0 0 .

4 0 .

.

6 3 1 2 0 .

.

2 9 1 6 0 .

0 0 .

% 6 0 0 .

% 3 8 0 .

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% 9 7 9 2 .

% 4 9 2 .


% 8 0 0 .

% 8 0 1 .

% 0 0 0 .

% 4 0 0 .

% 8 5 1 .

% 9 1 0 .

% 5 4 0 .

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) r e d n a i r r o C ( ) i d n i h B ( ) u o r u o R ( General Table & Descriptive Analysis Report 157 157 % % 2 0 0 .
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) 0 0 0 D J F ( e u l a V % ) t m ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A % % 5 0 0 .

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d e t n a l P t n u o C 7 8 0 4 1 , 8 6 3 0 2 , 5 9 9 7 , , 0 9 6 9 9 2 1 , 3 3 6 3 , 7 7 1 2 , , 2 0 2 0 1 4 8 2 , % 5 6 2 2 .

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2 7 7 6 4 , 7 7 0 3 , 5 9 8 8 4 , , 3 3 0 4 2 2 1 , 3 0 2 6 , 0 5 5 6 , 8 3 0 3 , 3 3 3 3 1 , 3 8 3 4 1 , 6 8 5 6 3 1 , 5 9 0 7 1 , 3 6 2 6 6 7 8 1 , 3 8 3 4 , 3 3 2 5 , 7 3 0 3 , ) r e d n a i r r o C ( ) i d n i h B ( / s a e r A / s t n a l P / e c n i v o r P y b s p o r C y r a r o p m e T : 6 .
4 e l b a T General Table & Descriptive Analysis Report 158 % ' ) 0 0 0 D J F ( e u l a V % ) t m ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / e c n i v o r P y b s p o r C y r a r o p m e T : 6 .
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0 0 1 3 3 2 0 6 5 4 2 2 1 7 8 5 , 5 0 1 5 8 6 , , 5 2 4 1 1 5 3 , 5 9 0 3 3 , 7 5 3 5 1 , 1 7 9 5 , 5 5 5 0 2 , 0 7 2 2 , 9 1 7 8 , , 3 3 6 3 7 3 1 , % 1 9 4 2 .

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0 7 8 7 5 3 9 1 2 8 , 5 3 9 5 , 1 9 7 2 3 5 1 2 1 , 0 1 1 0 4 2 0 0 1 0 2 2 1 3 , 9 6 3 0 2 , ) r e d n a i r r o C ( ) u o r u o R ( General Table & Descriptive Analysis Report 159 159 % ' ) 0 0 0 D J F ( e u l a V % ) t m ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / e c n i v o r P y b s p o r C y r a r o p m e T : 6 .
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5 9 3 4 5 8 5 8 3 , 3 1 7 5 , 0 0 5 1 , 6 9 9 1 , 0 5 2 3 3 9 6 1 , 3 6 9 3 4 , 1 4 5 6 , 2 8 4 8 , 8 0 9 9 3 2 , 8 1 5 9 2 , 5 0 5 7 , 2 8 2 1 , , 8 4 0 0 6 7 2 , % 7 9 3 3 .

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0 5 7 5 9 9 1 3 , 0 9 4 7 1 , , 2 0 6 0 7 0 1 , 9 3 7 0 4 6 2 4 , 6 1 6 7 , 0 2 9 1 , 1 2 4 1 , 0 6 9 1 9 , ) u o r u o R ( s e v a e L o r a T ) i d n i h B ( ) r e d n a i r r o C ( General Table & Descriptive Analysis Report 160 ' ) 0 0 0 D J F ( e u l a V % ) t m ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / e c n i v o r P y b s p o r C y r a r o p m e T : 6 .
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4 e l b a T General Table & Descriptive Analysis Report 162 PRODUCTION OF TEMPORARY CROPS IN EASTERN DIVISION It can be seen that in the area planted for temporary crops in Eastern Division, Kadavu province had the highest proportion of 43.6% followed by Lomaiviti province with 40.7%, Lau province with 11.8% and Rotuma with 3.9%.
During the census reference period, volume of temporary crops harvested was dominated by Kadavu Province, Lomaiviti province and Lau had 31.7% and 29.0% respectively while Rotuma harvested 671.3 metric tonnes which constitutes 2.6% of the total volume of temporary crops harvested in Eastern Division.

This distribution applies for area harvested and value of harvest as well.
Table 4.7: Distribution of Areas, Production and Value of Temporary Crops in Eastern Division by Province Division Area Planted Area Harvested Volume Harvested Area (Ha) 549.3 148.9 513.2 48.7 % 43.6% 11.8% 40.7% 3.9% Area (Ha) 679.2 459.6 591.1 44.7 % Volume(Mt) % 38.3% 25.9% 33.3% 2.5% 9,611.1 7,589.2 8,292.6 671.3 36.7% 29.0% 31.7% 2.6% Kadavu Lau Lomaiviti Rotuma Value of Harvested Temporary Crop Value (FJD'000) 54,958.0 26,851.3 32,746.1 3,376.9 % 46.60% 22.77% 27.77% 2.86% Total 1,260.0 100.0% 1,774.5 100.0% 26,164.2 100.0% 117,932.4 100.00% Cassava had the highest proportion of volume harvested with 49.0% while Yaqona had the highest proportion in total value of harvest and area planted by 71.7% and 77.4% correspondingly in Eastern Division.
General Table & Descriptive Analysis Report 163 163 % 1 0 0 0 .

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4 e l b a T General Table & Descriptive Analysis Report 164 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C y r a r o p m e T : 8 .

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4 e l b a T General Table & Descriptive Analysis Report 166 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C y r a r o p m e T : 8 .

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4 e l b a T General Table & Descriptive Analysis Report 168 PRODUCTION OF TEMPORARY CROPS IN WESTERN DIVISION Table 4.9 reveals that Nadroga/Navosa Province dominated in area planted, area harvested, volume and value harvested of temporary crops in Western Division by 51.8%, 43.6%, 42.6% and 46.6% in that order.

Followed by Ba Province and least contribution by Ra Province.
Table 4.9: Distribution of Areas, Production and Value of Temporary Crops in Western Division by Province Division Area Planted Area Harvested Volume Harvested Area (Ha) % Area (Ha) % 904.7 1,638.9 28.6% 51.8% 1,728.4 2,554.5 29.1% 43.0% Volume (Mt) 26,769.2 32,848.9 % 34.1% 41.8% Value of Harvested Temporary Crop Value (FJD'000) 82,493.1 110,345.4 % 34.44% 46.07% 617.7 19.5% 1,653.9 27.9% 18,963.1 24.1% 46,681.7 19.49% 3,161.2 100.0% 5,936.8 100.0% 78,581.2 100.0% 239,520.2 100.00% Ba Nadroga/ Navosa Ra Total Cassava had the highest proportion of volume harvested with 67.2% while Yaqona had the highest propor- tion in total value of harvest and area planted by 78.9% and 77.4% correspondingly.
Table 4.10 records the distribution of temporary crops in terms of plants, area, volume harvested and value by province in Western Division.

General Table & Descriptive Analysis Report 169 169 % % 2 0 0 .

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4 e l b a T General Table & Descriptive Analysis Report 170 % % 9 0 0 .

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d e t n a l P t n u o C 3 0 9 7 3 , , 5 2 5 1 4 6 2 , 4 8 1 5 0 2 5 1 , 5 5 2 6 6 , 4 6 1 4 9 , 1 0 8 5 8 1 , 6 6 7 4 4 4 , , 9 3 5 4 2 1 9 1 , 1 4 8 8 9 2 , 0 3 2 3 9 , 4 9 3 9 2 1 , , 4 2 0 8 3 5 3 1 , .

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7 8 1 ) u o r u o R ( / ) r e d n a i r r o C ( General Table & Descriptive Analysis Report 171 171 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C y r a r o p m e T : 0 1 .
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4 e l b a T General Table & Descriptive Analysis Report / a g o r d a N a s o v a N 172 n i k p m u P t u n a e P e c i R s e v a e L o r a T ) u o r u o R ( / s a e r A / s t n a l P / d l o h e s u o H / % % 7 0 9 .
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2 1 1 3 , 2 9 4 3 , 7 6 6 0 1 4 , 7 5 4 3 0 1 , 6 0 4 7 2 , 9 7 1 1 , 8 3 7 0 4 1 , 9 4 3 0 1 , 4 6 4 0 2 , 7 9 8 3 , 2 6 4 0 7 6 , 0 4 2 9 3 , % 2 0 0 0 .

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% 0 0 0 1 5 1 5 0 1 , 2 9 1 9 4 , 0 3 1 9 3 , 7 0 7 0 7 4 , , 5 2 7 0 7 1 9 , a n a T i n o l a D ) r e d n a i r r o C ( ) i d n i h B ( ) u o r u o R ( General Table & Descriptive Analysis Report 173 173 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C y r a r o p m e T : 0 1 .
) a H ( a e r A % PRODUCTION OF TEMPORARY CROPS IN THE NORTHERN DIVISION Table 4.11 reveals that Cakaudrove Province dominated in area planted, area harvested, volume and value harvested of temporary crops in Northern Division.
Followed by Macuata with 28.0% in area planted, 22.6% in volume harvested while Bua Province had the second highest proportion in area harvested with 16.1% and value of harvest with 6.7%.
Table 4.11: Distribution of Areas, Production and Value of Temporary Crops in Northern Division by Province Division Area Planted Area Harvested Volume Harvested Value of Harvested Temporary Crop Area (Ha) % Area (Ha) Bua 1,141.1 19.9% 1,880.2 Cakaudrove 2,979.8 52.0% 8,191.5 Macuata Total 1,606.0 5,726.9 28.0% 1,579.7 % 16.1% 70.3% 13.6% Volume (Mt) 12,556.2 34,690.7 13,771.2 % 20.6% 56.9% 22.6% Value (FJD'000) 105,803.9 1,417,244.2 66,639.2 % 6.66% 89.15% 4.19% 100.0% 11,651.3 100.0% 61,018.1 100.0% 1,589,687.3 100.00% During the census reference period, Yaqona found to be the most planted temporary crop with 64.3% of total area planted, 26.1% of total volume harvested, and 95.2% of total value of temporary crops in Northern Division.
For Area planted, rice occupied the second highest proportion with 15.5%, followed by Dalo with 9.1%, cassava with 7.6%, Watermelon with 1.3% and others had used less than one percent of total area planted.

Dalo recorded the highest volume harvested in the Northern Division with 30.8%, followed by Yaqona with 26.1%, Cassava with 20.0%, rice with 5.2%, watermelon with 4.6%, eggplant with 1.0% and others had less than one percent share to total volume harvested.
General Table & Descriptive Analysis Report 174 % e m u l o V % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C y r a r o p m e T : 2 1 .
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4 e l b a T General Table & Descriptive Analysis Report a u B e v o r d u a k a C 176 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C y r a r o p m e T : 2 1 .

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1 3 9 7 2 , 4 6 1 5 3 , 9 8 3 5 1 , 1 8 1 4 , , 9 8 4 0 0 2 4 , 2 1 5 5 4 , 8 9 3 4 , 8 3 4 4 2 , 4 5 3 4 , 3 5 9 9 9 , , 1 6 4 7 3 0 6 , , 4 2 4 0 3 7 7 1 , 7 1 0 9 9 , 5 2 7 0 4 , 5 5 3 1 , , 1 8 6 3 2 3 4 , 6 3 1 0 5 1 , 8 3 6 1 3 1 , 7 6 1 2 8 , 2 1 4 4 8 6 , 0 0 9 3 1 , 6 5 2 4 2 4 , ) i d n i h B ( ) u o r u o R ( ) r e d n a i r r o C ( a i n a h D s u h t n u r a m A a t a u c a M General Table & Descriptive Analysis Report 177 177 % % 4 2 1 .
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4 e l b a T General Table & Descriptive Analysis Report 178 PRODUCTION OF TEMPORARY CROPS BY SEX OF HOUSEHOLD HEAD AT NATIONAL LEVEL Table 4.13 analyses area and production of temporary crops by sex of the household head.

It can be seen from the table that in Fiji during the Census reference period, the female headed households accounted for 5.5% of area planted, 3.8% of the area harvested, 4.4% of the volume of production and merely 2.0% of the total value of output of temporary crops.
Figure 4.13.1 and Figure 4.13.2 shows the top 10 commodities grown by a male and female headed household.

Male headed households had cassava, dalo and yaqona as top grown temporary crops while female headed household had bele as the second grown crop than dalo.

Also can be seen that female headed household plants more vegetables than root crops.
Figure 4.13.1 Top 10 Temporary Crops grown by male household head Figure 4.13.2 Top 10 Temporary Crops grown by female household head General Table & Descriptive Analysis Report 179 179 % % 4 0 0 .

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4 e l b a T General Table & Descriptive Analysis Report 182 PRODUCTION OF TEMPORARY CROPS BY AGE OF HOUSEHOLD HEAD AT NATIONAL LEVEL Table 4.14 provides, among other things, volume and value of production of Temporary Crops in Fiji by age-group of head of the household.

It can be seen from the table that, on an average, per hectare (harvested) value of output of temporary crops during the census reference period (10 February, 1999 – 10 February, 2020) is estimated at FJD 81,900.
Analyzed by the age-group, it is noted that highest value of output per hectare is obtained by households with the household head in the age-group of 19 to 39 years at FJD 115,500 followed by age-group 10 to 19 years at FJD 86,300, age-group 59 years or over at FJD 66,800 and that by the households with heads in the age-group of 39 to 59 years at FJD 54,900.

General Table & Descriptive Analysis Report 183 183 % % 3 0 0 .

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4 6 3 8 3 4 , 4 6 3 0 6 4 , , 7 7 7 8 5 0 8 , , 7 6 9 9 9 1 6 5 2 , 5 9 1 7 3 5 , 6 0 4 4 5 1 , 3 6 7 6 9 , , 4 0 2 7 0 2 4 1 , 6 9 4 1 1 4 , 1 9 3 7 2 5 , 0 2 9 7 5 7 , , 4 1 4 3 2 0 7 , 7 1 7 7 4 , 4 4 8 5 0 6 , 8 6 6 4 7 4 , 3 3 0 8 4 3 , 8 7 3 3 8 , , 6 5 3 5 4 2 2 , 4 6 8 4 , 8 1 9 9 1 , 7 9 9 8 , 8 4 6 2 0 9 , 2 8 3 9 9 9 , , 2 0 8 0 8 7 1 , 4 1 5 8 2 1 2 , 5 1 0 9 , 8 1 5 6 6 , 0 5 2 4 2 5 4 2 3 , 1 2 4 0 1 , 8 7 4 5 7 2 7 9 2 0 6 2 6 8 4 3 5 6 , 1 3 1 1 1 2 2 , ) r e d n a i r r o C ( < s r y 9 3 ≥ x s u h t n u r a m A s r y 9 5 ≥ x General Table & Descriptive Analysis Report 187 187 % e u l a V ' ) 0 0 0 D J F ( % ) t m ( e m u l o V % ) a H ( a e r A % ) a H ( a e r A % - / s a e r A / s t n a l P / d a e H f o e g A / d l o h e s u o H y b s p o r C y r a r o p m e T : 4 1 .
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4 e l b a T General Table & Descriptive Analysis Report n r e t s a E 192 l a t o T o t % % % % ft ) s h t n o m 2 1 t s a p ( / n o i s i v i D y b d l o h e s u o H f o r e b m u N : 5 1 .
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9 2 1 7 1 1 2 2 2 , 3 3 2 7 5 1 1 1 , 9 7 1 2 0 1 1 , 5 2 1 5 8 9 1 1 8 3 4 2 , 2 6 1 4 8 1 1 0 1 3 5 4 7 7 8 0 1 , 1 8 5 2 3 0 6 1 3 0 9 3 0 1 0 1 8 3 9 2 2 1 , 5 7 1 5 9 4 0 4 , 5 9 7 1 , 3 5 9 1 8 2 8 2 1 1 , 9 6 1 6 2 , 4 7 4 7 8 9 7 , 8 7 4 1 6 6 2 6 3 9 6 1 8 3 2 , 2 6 2 8 6 3 , 1 9 7 2 5 4 9 9 1 , 5 2 1 5 3 2 1 , ) r e d n a i r r o C ( ) i d n i h B ( General Table & Descriptive Analysis Report 193 193 % 2 0 .
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4 e l b a T General Table & Descriptive Analysis Report n r e t s e W 194 l a t o T o t % % % % ft ) s h t n o m 2 1 t s a p ( / n o i s i v i D y b d l o h e s u o H f o r e b m u N : 5 1 .
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4 1 2 0 2 1 , , 2 6 2 8 6 3 , 1 9 7 2 5 4 9 9 1 , 5 2 1 5 3 2 1 , 6 5 9 8 2 5 1 5 0 1 , 4 2 9 7 5 2 4 , 8 7 4 8 1 , 2 6 8 7 4 4 1 , ) i d n i h B ( ) u o r u o R ( e c u t t e L n r e h t r o N General Table & Descriptive Analysis Report 195 195 C) PERMANENT CROPS (i) Geographical Division This is a straightforward section tabulating and giving, among other things, area planted and area harvested for permanent crops in the country.
It can be seen in Table 4.16 that in the area planted, Northern had the highest proportion of 59.2%, followed by Western Division with 17.4%, Central Division with 12.4% and Eastern Division with 11.0%.

Central Division seen to have less than ten percent which is the lowest share in volume harvested as well as 6.2% in Value of Harvest.
Table 4.16: Distribution of Areas,Volume of Value Harvested of Permanent Crops by Division in Fiji Division Area Planted Area Harvested Volume Harvested Area (Ha) 642.73 568.68 % 12.4% Area (Ha) 234.29 11.0% 1,011.69 3,074.94 59.2% 3,517.79 905.34 17.4% 834.18 % 4.2% 18.1% 62.8% 14.9% Volume (Mt) 5,503.17 10,555.96 44,797.23 32,165.20 % 5.9% 11.3% 48.2% 34.6% Central Eastern Northern Western FIJI 5,191.7 100.0% 5,598.0 100.0% 93,021.6 100.0% 163,612.1 100.0% Value of Harvested Permanent Crops Value (FJD'000) 10,124.86 14,815.08 82,413.52 56,258.64 % 6.2% 9.1% 50.4% 34.4% Table 4.17 highlights the distribution of permanent crops in terms of area planted, area harvested, volume harvested and value of harvest across the four geographical divisions.
Coconut found to have the highest proportion of volume harvested with 38.1%, followed by Pineapple with 30.8%, Other Permanent Crops with 16.6%, banana and pawpaw both had 4.2% , Plantain (Vudi) with 2.4%, Breadfruit with 1.4% and the remained permanent crops had less than one percent contribution to Total Volume harvested during the census reference period.
General Table & Descriptive Analysis Report 196 / s a e r A / s t n a l P / d l o h e s u o H / n o i s i v i D y b s p o r C t n e n a m r e P : 7 1 .

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, 9 7 3 2 7 4 7 , General Table & Descriptive Analysis Report 200 By Permanent Crops Table 4.18: Distribution of each Permanent Crops by Geographical Division/Areas/Volume and Value Harvested in Fiji Area Harvested Division Area Planted Area Harvested Volume Harvested Value of Harvested Permanent Crop Coconuts Central Eastern Area (Ha) 212.10 490.43 % 6.0% 14.0% Area (Ha) 80.95 % 2.3% Volume (Mt) 809.48 947.07 26.7% 9,470.70 Northern 2,660.01 75.7% 2,475.93 69.8% 24,759.33 149.72 4.3% 43.92 1.2% 439.22 % Value (FJD'000) 2.3% 26.7% 69.8% 1.2% 847.43 10,994.30 30,153.13 430.86 % 2.0% 25.9% 71.1% 1.0% Pineapple Banana Pawpaw Vudi Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total Breadfruit Central Voivoi Masi Eastern Northern Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total 1,458.98
- - - - - 0.0% 0.0% 0.0% 0.0% - 0.0% - 0.0% 114.59 15.9% 458.34 15.9% 1.94 0.3% 7.76 0.3% 604.48 83.8% 2,418.72 83.8% 100.0% 721.01 100.0% 2,884.82 100.0% General Table & Descriptive Analysis Report 201 201 Table 4.18: Distribution of each Permanent Crops by Geographical Division/Areas/Volume and Value Harvested in Fiji Area Harvested Chillies Duruka Avocado Pear Cocoa Mango Kavika- (Rose Ap- ple) Others Division Area Planted Area Harvested Volume Harvested Value of Harvested Permanent Crop Area (Ha) 10.04 0.01 1.18 % 30.1% 0.0% 3.5% 22.07 66.3% Area (Ha) 6.60 0.06 2.36 5.13 % Volume (Mt) % Value (FJD'000) % 6.27
Central Eastern Northern Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total Central Northern Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total Central Eastern Northern Western Total General Table & Descriptive Analysis Report 202 PRODUCTION OF PERMANENT CROPS IN CENTRAL DIVISION Table 4.19 records Tailevu with the highest share in area planted at 57.3%, 57.5% on area harvested, 65.65 on volume harvested and 61.5% on value of harvest to the total.
Followed by Naitasiri province with 21.5%, 19.8%, 20.0% and 22.7% of same distribution as Tailevu province.

Namosi Province found to have the least across all variables.
Table 4.19: Distribution of Areas,Volume of Value Harvested of Permanent Crops in Central Division by Province Province Area Planted Area Harvested Volume Harvested Area (Ha) % Area (Ha) % Volume(Mt) % Value of Harvested Permanent Crop Value (FJD'000) % Naitasiri Namosi Rewa Serua Tailevu Total Table 4.20 highlights the distribution of permanent crops across the five province in Central Division.
Out of all the permanent crops harvested in Central Division, Pineapple recorded the highest proportion with 37.6%, followed by Banana with 25.8%, Coconut with 14.7%, Plantain (Vudi) with 11.4%, Breadfruit with 4.4% and other had a share of less than two percent.

Area planted with coconut constitutes 33.0%, banana at 28.6%, pineapple at 10.4% and plaintain (vudi) at 11.5%.

General Table & Descriptive Analysis Report 203 203 % % 1 0 0 .

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4 e l b a T General Table & Descriptive Analysis Report i r i s a t i a N 204 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C t n e n a m r e P : 0 2 .

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4 e l b a T General Table & Descriptive Analysis Report a u r e S 206 PRODUCTION OF PERMANENT CROPS IN EASTERN DIVISION In Eastern Division, interesting to see that Lau Province had the highest percentage in all measured areas of Permanent Crops in Table 4.21.

This is followed by Lomaiviti province, Kadavu and Rotuma.

In terms of area planted for permanent crops, Kadavu recorded the least with 3.2% while volume harvested and value showed smallest share of Rotuma Island.
Table 4.21: Distribution of Areas,Volume of Value Harvested of Permanent Crops in Eastern Division by Province Province Area Planted Area Harvested Volume Harvested Area (Ha) 18.02 367.67 151.24 31.75 % 3.2% 64.7% 26.6% 5.6% Area (Ha) 32.23 730.72 227.75 20.99 % Volume(Mt) % 3.2% 72.2% 22.5% 2.1% 354.22 7,612.27 2,351.28 238.17 3.4% 72.1% 22.3% 2.3% Kadavu Lau Lomaiviti Rotuma Total 568.7 100.0% 1,011.7 100.0% 10,556.0 100.0% 14,815.1 100.0% Value of Harvested Permanent Crop Value (FJD'000) 512.28 10,735.89 3,359.76 207.16 % 3.5% 72.5% 22.7% 1.4% Table 4.22 highlights the distribution of permanent crops across the five province in Eastern Division.
Out of all the permanent crops harvested in Eastern Division, Coconut recorded the highest with 89.7% while the remained 10.3% was shared by other harvested permanent crops during the census reference period in Eastern Division.

Coconut is mainly planted in the Eastern Division with 86.2%, followed by Braeadfruit with 4.9%, Plantain with 4.3%, Banana with 2.15, Voivoi (Pandanus leaves) with 2.0% and others shared the 0.5%.

General Table & Descriptive Analysis Report 207 207 % 7 4 9 6 .

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% 4 1 0 .

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% 8 0 9 .

t n u o C 4 6 5 3 3 , 4 9 1 4 2 1 7 0 6 0 1 , 2 8 3 0 5 2 , 5 4 8 3 , 6 1 1 0 1 , 7 6 4 5 , 8 5 7 6 2 , 5 0 9 3 6 , 1 2 9 5 6 7 6 2 6 8 3 3 5 1 1 4 , 2 0 6 4 3 , 4 3 0 3 3 , 2 1 9 4 5 , 8 5 1 7 1 , 2 1 0 .

5 0 8 2 .

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3 9 8 8 8 1 , % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C t n e n a m r e P : 2 2 .
4 e l b a T General Table & Descriptive Analysis Report 208 / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C t n e n a m r e P : 2 2 .

4 e l b a T % % 5 2 0 .

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% 4 3 3 .

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e m u l o V % ) a H ( a e r A % ) a H ( a e r A % ) t m ( 3 8 0 .

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.

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.

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7 0 0 .

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% 2 0 0 .

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% 3 1 8 4 .

% 9 0 9 1 .

% 0 0 0 0 1 .

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% 8 1 1 .

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% 5 7 8 .

% 9 7 1 .

t n u o C 0 0 1 1 5 2 5 1 , 0 1 1 2 , 2 2 2 0 0 1 9 0 1 4 6 1 8 6 7 6 , 0 8 6 4 4 , 4 2 7 7 1 , 1 3 8 2 9 , 2 9 8 4 , 8 9 1 3 1 0 3 1 3 , 4 4 5 2 1 5 7 6 , 8 6 4 1 , 0 0 3 % 0 0 0 0 1 .

.
.

6 1 7 0 2 % 0 0 0 0 1 .

.

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% 0 0 0 0 1 .

5 7 1 3 .

% 0 0 0 0 1 .
5 8 7 6 1 , e s o R ( - a k i v a K s t u n o c o C a k u r u D ) General Table & Descriptive Analysis Report 209 209 PRODUCTION OF PERMANENT CROPS IN WESTERN DIVISION In Western Division, Ba Province recorded the highest in all measurable variables in Table 4.23, followed by Nadroga/Navosa province, with Ra province had the least share.
Table 4.23: Distribution of Areas,Volume of Value Harvested of Permanent Crops in Western Division by Province Province Area Planted Area Harvested Volume Harvested Value of Harvested Permanent Crop Area (Ha) 320.57 307.99 % 35.4% 34.0% Area (Ha) 668.40 96.27 % 80.1% 11.5% Volume (Mt) 25,947.46 4,922.45 % 80.7% 15.3% Value (FJD'000) 43,221.69 9,836.93 276.79 905.34 30.6% 100.0% 69.51 834.18 8.3% 1,295.29 4.0% 3,200.02 100.0% 32,165.20 100.0% 56,258.64 % 76.8% 17.5% 5.7% 100.0% Ba Nadroga/Na- vosa Ra Total Table 4.24 highlights the distribution of permanent crops across the five province in Western Division.
Out of all the permanent crops harvested in Western Division, Pineapple recorded the highest with 77.8%, pawpaw with 9.25, banana with 6.35 and others shared the remained 6.8%.

Banana largely occupied the area planted in Western Division with 27.3%, followed by coconuts with 16.5%, pienapple with 15.9%, pawpaw with 12.6%, vudi with 11.6% and 16.0% cultivated on other permanent crops.
General Table & Descriptive Analysis Report 210 e m u l o V % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C t n e n a m r e P : 4 2 .

4 e l b a T % % 2 0 0 .


% 9 5 2 .

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% 7 0 0 .

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% 5 1 0 .

% 9 7 4 9 .

% 8 1 0 .

% 8 0 1 .

% 0 0 0 0 1 .

% 0 3 0 .

% 5 6 8 1 .

% 4 1 0 .

% 4 4 2 .

% 7 4 1 .

% 3 1 0 .

% 0 0 0 .

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% 8 5 4 2 .

% 5 4 0 .

% 0 3 3 4 .

e u l a V ' ) 0 0 0 D J F ( % 3 7 7 .

.

7 6 7 1 1 1 , 6 8 6 9 .

.

8 2 3 3 1 .

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8 3 6 2 .

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.

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9 6 1 2 2 3 4 , 3 6 9 2 .

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% 9 1 0 .

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0 2 6 1 9 , 5 1 4 2 , 8 4 1 6 4 3 , 3 4 6 4 , 4 8 7 8 7 , 2 6 0 8 3 6 3 1 3 0 2 0 1 , 8 4 3 9 , 7 7 6 0 1 , 7 6 4 6 3 , , 0 3 4 9 6 0 5 , ) e l p p A e s o R ( - % 3 0 0 0 .

6 6 1 r a e P o d a c o v A a B .

5 4 7 4 9 5 2 , % 0 0 0 0 1 .

.

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.


6 5 0 2 3 % 0 0 0 0 1 .

, 9 7 4 0 6 6 5 , .

9 2 0 1 .

9 1 8 3 7 3 9 9 .

3 7 8 3 .

.

6 0 8 5 1 - 7 5 4 .

3 2 1 .

.

3 2 4 0 6 9 3 4 2 .

.

8 0 5 6 8 2 , % 9 8 0 .

% 6 5 5 2 .

% 4 3 0 .

% 1 5 2 .

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% 0 2 7 3 .

6 8 0 .

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% 7 2 3 .

2 0 0 .

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9 7 1 .

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8 0 0 1 .

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.

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% 3 0 0 .

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% 8 2 0 .

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% 4 3 1 1 .

% 3 2 0 .

% 7 5 4 1 .


8 2 2 6 7 3 5 6 5 2 3 1 , 4 5 8 9 9 4 , 2 1 4 3 , 9 9 9 8 5 , 0 1 0 2 6 3 8 2 , 0 4 9 6 3 1 , 8 3 9 5 7 1 , ) e l p p A e s o R ( - / a g o r d a N General Table & Descriptive Analysis Report 211 211 % % 9 1 1 .

% 1 0 0 .

% 9 2 7 .

% 0 0 0 0 1 .

% 3 2 0 .

% 8 2 6 5 .

% 8 7 0 .

% 7 4 4 .


% 2 5 5 .

% 3 3 4 .

% 9 0 4 .

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% 5 3 1 .

% 4 4 2 .

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% 6 1 4 .

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e u l a V ' ) 0 0 0 D J F ( % 3 4 1 .

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7 9 6 1 1 .

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.

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t m ( e m u l o V .

2 0 2 0 1 8 0 0 .

.

6 6 5 6 3 .

6 4 2 2 9 4 , 9 3 2 .

.

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.

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6 7 6 4 - 4 8 1 .

5 5 8 .

5 7 9 3 .

7 8 3 1 .

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.

9 1 3 7 1 .

9 2 5 9 2 1 , % ) a H ( a e r A % ) a H ( a e r A % t n u o C d e t n a l P % 5 6 2 .
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% 4 5 0 3 .


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.

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.

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0 4 3 1 .

2 5 4 8 .

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1 3 0 .

8 6 3 .

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0 7 1 .

6 3 2 .

9 2 6 .

% 3 4 4 1 .

% 0 0 0 0 1 .

3 9 9 3 .

.

7 7 6 7 2 % 7 0 0 .

% 6 9 5 .

% 0 0 0 0 1 .

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% 5 0 1 3 .

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% 0 0 1 1 .

3 1 8 0 6 9 1 7 , , 0 3 1 7 0 2 1 , 9 3 2 4 8 3 9 9 7 7 8 1 , 3 5 7 4 1 1 , 8 9 1 1 2 , 3 4 4 0 1 , 0 1 3 0 4 , 1 3 4 6 3 8 8 3 1 1 , 7 9 7 2 , 2 8 3 6 8 , 6 7 1 2 6 , 5 0 5 6 6 , % 0 0 0 0 1 .
9 6 7 4 0 6 , ) e l p p A e s o R ( - % 0 2 0 1 .
9 7 1 3 2 1 , / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C t n e n a m r e P : 4 2 .
4 e l b a T General Table & Descriptive Analysis Report 212 PRODUCTION OF PERMANENT CROPS IN THE NORTHERN DIVISION In Northern Division, CakaudroveProvince recorded the highest in all measurable variables highlighted Table 4.25.

Bua Province had the second highest share in area planted with 24.4% followed by 20.1% of Macuata Province.

For harvest- ing, Bua province recorded the least as compared to Macuata province.
Table 4.25: Distribution of Areas,Volume of Value Harvested of Permanent Crops in Northern Division by Province Province Area Planted Area Harvested Volume Harvested Area (Ha) Bua 748.51 Cakaudrove 1,704.89 Macuata Total 615.34 3,068.7 % 24.4% 55.6% 20.1% Area (Ha) 252.72 2,538.18 724.43 % 7.2% 72.2% 20.6% Volume (Mt) 3,444.51 33,558.93 7,764.46 % 7.7% 75.0% 17.3% Value of Harvested Permanent Crop Value (FJD'000) 6,062.52 65,896.19 10,338.41 % 7.4% 80.1% 12.6% 100.0% 3,515.3 100.0% 44,767.9 100.0% 82,297.1 100.0% Table 4.26 highlights the distribution of permanent crops across the five province in Northern Division.
Out of all the permanent crops harvested in Northern Division, Coconut recorded the highest in area planted with 86.5%, area harvested with 70.4%, volume harvested with 55.3% but second in value of harvest with 36.6%.
General Table & Descriptive Analysis Report 213 213 e m u l o V % ) a H ( a e r A % ) a H ( a e r A % / s a e r A / s t n a l P / d l o h e s u o H / e c n i v o r P y b s p o r C t n e n a m r e P % % 1 0 0 .

% 1 7 1 .
% 1 7 1 .

% 6 7 1 .

% 9 0 3 .

% 7 3 0 .

% 6 1 4 3 .

% 1 0 0 .

% 2 0 0 .

% 2 1 0 .

% 0 0 0 .

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% 5 2 0 .

% 0 2 9 2 .

% 2 7 1 2 .

% 6 4 7 .

% 0 0 0 0 1 .

% 4 0 0 .

% 8 3 0 .

% 5 5 1 .

% 1 1 0 .

% 3 0 0 .

% 5 8 9 2 .

% 3 0 0 0 .

% 2 0 0 .

% 1 0 0 0 .

e u l a V ' ) 0 0 0 D J F ( % 7 3 0 .

.

0 7 3 0 1 .

0 6 6 0 1 .

1 6 7 8 1 1 3 2 2 .

.

8 0 1 7 0 2 , 3 5 0 .

9 4 1 .

5 5 7 .

- 6 6 6 .

5 3 5 1 .

.

7 2 0 7 7 1 , .

5 6 6 1 3 1 , .

5 3 2 5 4 .

2 5 2 6 0 6 , 1 5 6 2 .

.


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8 1 9 1 0 1 , 5 8 1 7 .

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4 e l b a T ) e l p p A e s o R ( - General Table & Descriptive Analysis Report 215 215 , .
.

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f o % 7 6 d n a d e t s e v r a h e m u o v l e h t f o % 0 6 .

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8 5 3 2 , 8 2 8 3 0 8 , 2 3 9 8 1 , 9 3 8 3 4 , , 1 8 7 7 5 0 1 , , 5 3 7 3 0 0 1 , 2 7 2 5 2 5 1 , 4 1 8 8 5 1 , 4 6 9 5 1 1 , 6 3 0 0 8 1 , 0 3 3 5 9 2 , 6 4 3 1 6 4 , , 1 8 2 4 6 1 8 , , 8 8 0 5 2 7 2 1 , 2 7 3 5 5 0 0 4 , 9 4 4 1 , % 4 5 9 3 .
4 3 1 6 9 3 , 7 4 0 7 1 4 , 3 3 7 3 , 8 0 3 8 2 1 9 , 0 7 8 2 , 2 3 2 3 , 8 6 r e b m u N - e s u o H f o d l o h 1 0 5 4 8 7 3 3 1 8 2 3 8 1 6 , 3 2 2 1 , 4 8 3 1 , 1 0 3 2 , 4 6 8 1 1 , 7 9 4 3 4 , 6 3 9 7 7 5 6 3 8 7 5 ) e l p p A e s o R ( - General Table & Descriptive Analysis Report 216 % % 4 2 0 .
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4 b a T General Table & Descriptive Analysis Report 220 CHAPTER 5: LIVESTOCK FARMING General Table & Descriptive Analysis Report 221 221 A.

List of Tables No.

Table No.

Table Name Page No.
1 2 3 5.1 5.2 5.3 5.4 Dairy Farming 4 5 6 7 5.5 5.6 5.7 5.8 Beef Farming 8 9 10 5.9 5.10 5.11 Sheep Farming 11 12 13 5.12 5.13 5.14 Goat Farming 14 15 16 5.15 5.16 5.17 Pig Farming 17 18 19 5.18 5.19 5.20 Poultry Farming 20 21 22 5.21 5.22 5.23 Number of household involved in Raising Livetsock/ Division/Province Number of household involved in Livestock Farming/ Division/Province Number of Stock by Type of Livestock/Division/National level Number of Stock by Type of Livestock/Division/Province Stock of Dairy Cattle /National/Division/Classes at the day of census Stock of Dairy Cattle /National/Division/Province/Classes at the day of census Stock count of Dairy Cattle/National/Division/Province/ Status Quantity of Milk Produced (in Liters) during in the last 3 months since time of interview by Purpose Stock of Beef Cattle /National/Division/Classes at the day of census Stock of Beef Cattle /National/Division/Province/Classes at the day of census Stock count of Beef Cattle/National/Division/Province/Status Stock of Sheep/National/Division/Classess at the day of census Stock of Sheep/National/Divisional/Province/Classes at the day of Census Stock count of Sheep/National/Division/Province/ Status Stock of Goat at National/ Divisional/Classes at the day of Census Stock of Goat at National/Divisional/Province level/Classes at the day of Census Stock count of Goat/National/Division/Province/Livestock Status Stock of Pig at National/Division/Classes at the day of Census Stock of Pig /National/Division/Province level/Classes at the day of Census Stock count of Pigs/National/Division/Province/Status Number of Poultry Birds by Type of Poultry kept/ National/Divisional Number of Poultry Birds by Type of Poultry kept/ National/Division/Province level Number of Birds/National/Division/Province/Status Apiculture Farming 23 5.24 Number of Apiculture Farms and Hives at the day of census 224 226 227 228 229 231 232 234 235 237 238 239 240 241 242 243 244 246 247 238 249 250 251 252 General Table & Descriptive Analysis Report 222 B.
List of Figures No Figure No.
Name 1 2 3 5.1 5.1.2 Distribution of Households involved in Rasing Livestock by Province Distribution of Households involved in Rasing Livestock by Type of Livestock at Division Level 5.3.1(a - g) % Distribution of Stock by Division 5.5.1 5.5 5.8.1 5.9.1 5.9.2 5.12.1 5.12.2 5.15.1 5.15.2 5.18.1 5.18.2 5.21.1 Distribution of Dairy Cattle by Classes in Fiji Distribution of Dairy Cattle by Classes/Division % of Milk Production by Purpose of Production at Province level Distribution of Beef Cattle by Classes in Fiji Distribution of Beef Cattle by Classes/Division Distribution of Sheep Stock by Classes in Fiji Distribution of Sheep by Classes/Division Distribution of Goat Stock by Classes in Fiji Distribution of Goat by Classes/Division Distribution of Pig by Classes in Fiji Distribution of Pigs by Classes/Division Distribution of Poultry Birds in Fiji Page No.
224 225 227 229 230 233 235 236 239 242 242 242 245 246 249 General Table & Descriptive Analysis Report 223 223 Livestock Population Beef Cattles 70,041 Dairy Cattles Pig 49,650 Goat 58,420 Sheep 143,853 37,435 Poultry Apiculture 1,449,857 Birds 13,162 Hives General Table & Descriptive Analysis Report 224 C. Tables and Graphs 5.1 LIVESTOCK FARMING HOUSEHOLD Table 5.1: Number of household involved in Raising Livetsock/Division/ Province Division Province Total Number of Household involved in Raising Livestock Total Number of Household involved in Raising Livestock FIJI Central Eastern Northern Western Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Bua Cakaudrove Macuata Total Ba Nadroga/Navosa Ra Total Figure 5.1 Distribution of Households involved in Raising Livestock by Province Rotuma Namosi Lomaiviti Kadavu Serua Rewa Lau Bua Cakaudrove Naitasiri Ra Tailevu Nadroga/Navosa Macuata Ba 0 1,000 2,000 3,000 4,000 5,000 6,000 General Table & Descriptive Analysis Report 225 225 d n a n o i s i v i D n r e t s e W m o r f % 0 4 4 .
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% 0 1 4 .

% 2 0 1 .

% 8 8 4 .

.

% 0 0 0 1 % 9 9 5 .

% 7 6 1 .

1 9 5 9 6 6 4 6 0 7 8 2 3 7 , 5 1 8 1 , 5 2 7 8 , 8 6 8 7 1 , 8 7 6 0 1 , 5 8 9 2 , % 1 4 2 .

% 1 6 2 .

% 7 6 2 .

% 1 3 2 .

.

% 0 0 0 1 % 0 9 .

% 3 5 1 .

% 7 5 7 .

.

% 0 0 0 1 % 9 6 9 .

% 0 2 .

6 2 2 1 , 9 2 3 1 , 7 5 3 1 , 6 7 1 1 , 8 8 0 5 , 0 5 4 8 , 0 7 4 4 1 , 1 4 4 1 7 , 1 6 3 4 9 , 2 4 9 0 7 8 , 9 3 8 7 1 , % 4 4 1 .

% 4 5 5 .

% 3 6 1 .

5 7 4 1 , 7 8 6 5 , 2 7 6 1 , % 2 8 2 .


% 5 8 2 .

% 7 1 1 .

% 9 3 1 .

8 2 4 1 , % 6 1 3 .

.

% 0 0 0 1 2 6 2 0 1 , .

% 0 0 0 1 % 9 1 2 .

% 7 5 4 .

% 4 2 3 .

.

% 0 0 0 1 % 2 7 5 .

% 8 5 2 .

0 7 5 1 , 0 8 2 3 , 0 2 3 2 , 0 7 1 7 , 8 0 8 8 , 5 7 9 3 , % 0 6 3 .

9 0 3 6 1 , % 6 6 .

1 9 9 2 , % 4 7 5 .

.

% 0 0 0 1 % 4 4 6 .

% 7 0 2 .

8 8 9 5 2 , 8 8 2 5 4 , 5 3 0 0 6 , 7 6 2 9 1 , 3 5 8 3 4 1 , 6 0 8 4 6 1 8 5 4 0 8 8 3 8 3 2 , 1 9 6 4 , 3 0 2 5 0 2 4 8 7 2 2 9 1 7 % 9 1 3 .

% 9 2 .
% 9 2 .

% 5 7 .

% 5 6 .

% 1 1 5 .

.

% 0 0 0 1 % 2 5 .

% 6 7 6 .

% 0 8 .

% 3 9 1 .

.

% 0 0 0 1 % 3 5 4 .

% 6 7 .

% 1 7 4 .

.

% 0 0 0 1 % 8 5 6 .

% 4 6 1 .

0 5 6 9 4 , 2 0 4 6 , 4 8 5 7 1 5 1 , 4 1 3 1 , 6 7 2 0 1 , 3 9 0 0 2 , 6 2 0 4 3 0 4 7 9 3 0 5 6 5 0 3 , 1 1 5 7 7 1 3 , 4 4 7 6 , 2 8 6 4 1 , 7 5 6 3 , % 9 5 3 .

% 9 8 1 .

% 5 5 .

% 0 3 1 .

% 8 6 2 .

1 4 0 0 7 , 9 3 6 4 , 7 3 4 2 , 7 0 7 1 8 6 1 , 0 6 4 3 , % 6 6 2 .

% 0 0 .

% 7 5 1 .

% 4 7 1 .

% 3 0 4 .

.


% 0 0 0 1 4 2 9 2 1 , .

% 0 0 0 1 % 2 3 .

% 7 8 4 .

% 9 3 3 .

% 2 4 1 .

.

% 0 0 0 1 % 0 1 3 .

% 0 2 5 .

% 1 7 1 .

.

% 0 0 0 1 % 5 2 3 .

% 5 2 4 .

1 5 3 8 7 5 4 5 8 0 6 1 , 6 2 7 4 , 6 3 9 7 , 9 2 2 3 0 6 2 , 5 6 2 5 1 , 4 7 0 3 1 , 4 8 0 7 1 , % 4 8 6 .

% 5 5 2 .

% 1 6 .

% 0 0 .

% 7 0 .

% 9 9 1 .

% 8 7 1 .

% 3 2 6 .

% 9 3 3 .

% 0 0 5 .

% 9 8 2 .

% 4 3 2 .

6 7 1 4 , % 1 1 .

3 1 6 9 , % 1 7 1 .

8 2 6 2 , % 9 4 1 .

.


% 0 0 0 1 9 3 8 7 1 , .

% 0 0 0 1 4 9 3 8 9 8 , .

% 0 0 0 1 1 1 4 5 1 , .

% 0 0 0 1 3 5 8 3 1 , 5 5 1 3 9 , % 8 7 1 .

1 7 9 3 , % 1 5 2 .

.

% 0 0 0 1 0 1 3 2 2 , .

% 0 0 0 1 6 8 0 0 1 , 4 4 2 0 4 , % 1 1 2 .

% 7 2 6 .
% 7 2 6 .

8 3 7 1 , 9 4 2 8 , % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % t n u o C % " e c n i v o r P n o i s i v i D " ) s e v i H ( e c n i v o r P / n o i s i v i D / : ) b ( 4 .
5 e l b a T 2 6 1 3 1 , l a t o T I J I F 5 9 - 6 5 2 6 4 4 1 7 5 3 7 6 5 2 6 - 8 9 8 8 8 3 9 7 7 7 7 2 , 8 5 4 4 , 5 2 1 4 , 6 8 3 2 , - - a k a C e v o r d u a t a u c a M l a t o T a B - a N / a g o r d a s o v a N l a t o T a R n r e t s e W General Table & Descriptive Analysis Report 230 : 1 .
5 .

5 e r u g i F s w o C y r D 6 1 9 5 1 % 2 3 8 8 8 1 % 4 s k c o l l u B g n i k r o W r e e t S 5 2 6 2 % 5 f l a C l l u B 3 0 5 3 % 7 s w o C t e W 3 1 9 2 1 % 6 2 r e f i e H 0 0 0 5 % 0 1 f l a C r e f i e H 9 6 8 3 % 8 s l l u B r e d e e r B 6 3 9 3 % 8 , s w o c t e .

W % Th E L T T A C Y R I A D % 8 7 .

, f l a C l l u B % 1 7 .

, s r e f i e H % 1 0 1 .

, s l l u B r e d e e r B % 9 7 .


, s w o c y r D % 1 2 3 .

.

s k c o l l u B g n i k r o W % 8 3 d n a .

r e e t S % 3 5 .

, % 7 0 4 .

d n a % 3 0 5 .

t a % 7 7 4 .

, s l l u B r e d e e r B f o % 9 5 5 .

; .
g n i k r o W % 5 9 5 d n a r e e t S % 2 0 5 .

, f l a C r e f i e H % 8 7 4 .

, f l a C l l u B % 8 2 5 .

, r e f i e H T N U O C K C O T S .

 share % Count share % Count share % Count share % Count share % Count share % Count share % Count share % Count share % Count .

% 0 0 0 1 0 5 6 9 4 , .

% 0 0 0 1 8 8 8 1 , .

% 0 0 0 1 5 2 6 2 , .

% 0 0 0 1 9 6 8 3 , .

% 0 0 0 1 3 0 5 3 , .

% 0 0 0 1 0 0 0 5 , .

% 0 0 0 1 6 3 9 3 , .


% 0 0 0 1 6 1 9 5 1 , .

% 0 0 0 1 3 1 9 2 1 , % 5 0 4 .

3 9 0 0 2 , % 7 5 .

8 0 1 % 2 2 3 .

5 4 8 % 1 2 4 .

8 2 6 1 , % 4 5 3 .

9 3 2 1 , % 7 8 3 .

5 3 9 1 , % 4 4 3 .

5 5 3 1 , % 7 0 4 .

2 8 4 6 , % 3 0 5 .

1 0 5 6 , % 0 1 .

3 0 5 % 1 0 .

1 % 3 0 .

7 % 6 0 .

4 2 % 7 0 .


4 2 % 0 1 .

0 5 % 0 1 .

9 3 % 8 1 .

4 8 2 % 6 0 .

4 7 % 6 3 1 .

4 4 7 6 , % 7 4 3 .

6 5 6 % 3 7 1 .

5 5 4 % 5 9 .

8 6 3 % 1 1 1 .

9 8 3 % 6 2 1 .

8 2 6 % 6 8 .

0 4 3 % 4 8 1 .

5 3 9 2 , % 5 7 .

3 7 9 % 9 4 4 .

0 1 3 2 2 , % 5 9 5 .

3 2 1 1 , % 2 0 5 .

8 1 3 1 , % 8 7 4 .

9 4 8 1 , % 8 2 5 .

1 5 8 1 , % 7 7 4 .

7 8 3 2 , % 9 5 5 .

2 0 2 2 , % 0 9 3 .

5 1 2 6 , % 5 1 4 .


5 6 3 5 , Division FIJI Central Eastern Northern Western General Table & Descriptive Analysis Report 231 231 s e s s a l C / n o i s i v i D / l a n o i t a N / e l t t a C y r i a D f o k c o t S : 5 .

 / : 5 .

5 e r u g i F % 0 .
5 e r u g i F % 0 .

5 % 9 .

5 % 3 8 .

% 3 8 .

% 7 0 1 .

% 9 9 .

% 9 .

7 2 % 0 4 2 .

n r e t s e W % 7 .

9 % 7 .

6 % 5 5 .

% 8 5 .

% 3 9 .

% 0 5 .

% 5 .

3 4 % 4 4 1 .

n r e h t r o N .

.

% % 2 4 0 1 % 8 4 .

% 8 4 .

% 9 9 .

% 8 7 .

% 5 .

6 5 % 7 4 1 .

n r e t s a E % 0 0 1 % 0 9 % 0 8 % 0 7 % 0 6 % 0 5 % 0 4 % 0 3 % 0 2 % 0 1 % 0 % 8 .

3 % 3 .

5 % 8 7 .

% 1 7 .

% 1 0 1 .

% 9 7 .

% 1 .

2 3 % 0 6 2 .

I J I F % 5 % 0 2 .

.

4 % 1 8 .

% 2 6 .

% 6 9 .

% 7 6 .

% 3 .


2 3 % 4 2 3 .

l a r t n e C General Table & Descriptive Analysis Report 232 share % Count share % Count % share Count % share Count % share Count share % Count share % Count share % Count % share Count % 0 0 1 0 5 6 9 4 , % 0 8 3 .

8 8 8 1 , % 9 2 5 .

5 2 6 2 , % 9 7 7 .


9 6 8 3 % 6 0 7 .

3 0 5 3 , % 7 0 0 1 .

0 0 0 5 , % 3 9 7 .

6 3 9 3 , % 6 0 2 3 .

6 1 9 5 1 , % 1 0 6 2 .

3 1 9 2 1 , l a t o T s e s s a l C / e c n i v o r P / n o i s i v i D / l a n o i t a N / e l t t a C y r i a D f o k c o t S 6 .

5 e l b a T l e v e L e c n i v o r P % 0 0 1 4 8 5 % 0 0 1 2 0 4 6 , % 0 0 1 7 1 5 1 , % 0 0 1 4 1 3 1 , % 5 2 0 .

% 7 1 0 .

% 6 2 0 .

% 0 0 0 .

% 0 0 1 6 7 2 0 1 , % 5 8 0 .

% 0 0 1 3 9 0 0 2 , % 4 5 0 .


% 0 0 1 6 2 % 0 0 1 0 4 3 % 0 0 1 % 0 0 1 0 4 7 9 % 0 0 1 3 0 5 % 0 0 1 6 5 0 3 , % 0 0 1 1 1 5 % 0 0 0 .

% 9 2 0 .

% 0 0 0 .

% 0 0 0 .

% 0 2 0 .

% 2 3 2 .

% 7 5 1 .

% 0 0 1 7 7 1 3 , % 6 1 8 1 .

% 0 0 1 4 4 7 6 , % 3 7 9 .

% 0 0 1 2 8 6 4 1 , % 4 3 3 .

% 0 0 1 7 5 6 3 , % 3 5 0 1 .

6 1 1 4 - 7 8 8 0 1 - 1 - - 1 1 7 8 7 7 5 6 5 6 1 9 4 5 8 3 % 2 1 4 .

% 0 2 1 .

% 4 4 2 .

% 2 0 5 .

% 8 5 4 .

% 1 2 4 .

% 0 0 0 .

% 6 0 2 .

% 0 0 0 .

% 0 0 0 .

% 9 3 1 .


% 4 5 8 .

% 9 5 0 .

% 1 0 6 .

% 5 7 6 .

% 3 8 5 .

% 5 6 4 .

7 7 3 6 6 1 7 4 5 4 8 - 7 - - 7 3 1 6 2 1 9 1 5 5 4 6 5 8 0 7 1 % 0 0 1 1 7 9 3 , % 2 2 6 .

7 4 2 % 5 3 7 .

2 9 2 % 0 0 1 0 1 3 2 2 , % 3 0 5 .

3 2 1 1 , % 1 9 5 .

8 1 3 1 , % 3 3 2 1 .

% 0 6 5 .

% 1 6 7 .

% 3 2 8 .

% 0 1 8 .

% 4 5 1 1 .

% 0 0 5 .

% 0 0 5 .

% 6 0 2 .

% 7 7 4 .

% 3 3 5 .

% 6 2 6 .

% 5 4 5 .

% 6 4 5 .

% 4 3 8 .

% 8 9 7 .

% 9 3 8 .

% 9 2 8 .


 % 0 2 8 .

5 2 5 % 4 4 6 .

2 1 4 8 2 6 1 % 7 1 6 .

9 3 2 1 , % 3 6 9 .

5 3 9 1 , % 4 7 6 .

5 5 3 1 , % 6 2 2 3 .

2 8 4 6 , % 5 3 2 3 .

1 0 5 6 , % 6 3 7 .

% 6 9 3 .

% 7 4 6 .

3 4 0 6 5 8 % 7 9 7 .

% 7 5 2 .

% 1 3 8 .

% 2 8 9 .

0 1 5 5 1 6 2 1 9 2 1 % 5 1 8 .

% 7 2 0 1 .

% 0 7 8 .

% 1 9 7 .

% 2 2 6 .

9 3 6 % 4 2 1 1 .

5 5 1 1 , % 3 2 5 .


2 2 5 0 6 2 3 1 4 0 1 7 3 5 % 7 3 1 5 .

% 9 3 6 3 .

% 7 5 2 3 .

0 0 3 2 5 5 8 2 4 % 3 7 4 1 .

6 8 % 4 3 4 3 .

% 9 5 0 3 .

1 2 5 2 0 4 % 8 1 3 3 .

4 2 1 2 , % 9 6 1 3 .

9 2 0 2 , % 5 9 9 2 .

8 7 0 3 , % 0 7 3 3 .

3 6 4 3 , % 7 3 8 .

6 0 3 % 2 3 9 .

1 4 3 % 6 8 8 .

4 2 3 % 6 8 4 2 .

9 0 9 % 3 4 5 2 .

0 3 9 % 7 4 8 .

3 4 2 1 , % 8 8 0 1 .

8 9 5 1 , % 4 9 9 .

9 5 4 1 , % 8 6 9 2 .

7 5 3 4 , % 3 5 3 2 .

4 5 4 3 , % 1 6 7 .

2 0 3 % 8 2 1 1 .


8 4 4 % 5 5 0 1 .

9 1 4 % 0 9 3 2 .

9 4 9 % 0 7 4 2 .

1 8 9 % 0 3 8 .

1 5 8 1 , % 0 7 0 1 .

7 8 3 2 , % 7 8 9 .

2 0 2 2 , % 6 8 7 2 .

5 1 2 6 , % 5 0 4 2 .

5 6 3 5 , % 5 8 3 .

% 6 7 6 .

% 0 0 0 .

% 0 0 0 .

% 7 7 4 .

% 4 6 6 .

% 0 7 4 .

% 0 1 5 .

% 7 7 5 .

1 3 2 - - 4 2 3 0 2 4 2 2 6 1 9 8 3 % 0 0 0 .

- % 6 7 1 1 .

0 4 % 0 0 5 .

% 5 2 8 .

% 4 9 9 .

2 8 0 5 % 5 4 3 1 .

1 1 4 % 3 1 3 .

% 3 3 6 .

% 1 3 9 .

6 1 1 0 2 8 2 6 % 9 6 7 .

% 5 3 7 .


% 0 0 5 1 .

% 9 1 6 .

% 5 7 7 .

% 4 4 8 .

% 1 3 4 .

% 9 8 1 .

% 4 0 5 .

2 5 2 6 6 9 3 8 5 2 2 2 0 6 % 5 1 6 4 .

2 1 % 7 7 0 3 .

8 % 8 8 0 5 .

3 7 1 % 0 0 0 5 .

% 4 4 1 8 .

0 2 9 7 % 8 8 5 1 .

% 0 0 5 2 .

% 6 0 2 .

4 5 0 1 2 % 6 4 6 5 .

4 8 2 % 1 7 4 1 .

4 7 % 6 2 3 4 .

2 2 3 1 , % 1 0 2 1 .

7 6 3 0 4 3 % 2 5 3 4 .

5 3 9 2 , % 5 4 0 4 .

5 8 2 1 , % 2 6 6 1 .

% 3 4 4 1 .

8 2 5 3 7 9 % 9 1 4 6 .

8 2 3 % 6 2 5 1 .
/ a g o r d a N a s o v a N l a t o T a R Division FIJI Central Eastern Northern Western General Table & Descriptive Analysis Report 233 233 - n I - d e r e t h g u a l S 2 1 t s a l ( y l l a m r o f ) s h t n o m 2 1 ) s h t n o m t s a l ( y a w A n e v i G 2 1 t s a l ( ) s h t n o m 2 1 t s a l ( & Y A W A N E V I G , T S O L , D L O S K C O T S F O T N U O C s u t a t S / e c n i v o r P / n o i s i v i D / l a n o i t a N / e l t t a C y r i a D f o t n u o c k c o t S : 7 .
) s h t n o m 1 0 9 7 4 1 1 1 1 5 6 3 3 5 8 9 2 - , 6 1 4 2 7 1 8 1 1 1 8 3 - 4 - - - 5 1 1 - - 1 - , 2 0 4 6 , 4 8 5 7 1 5 1 4 1 3 1 6 7 2 0 1 , 3 9 0 0 2 , 6 2 0 4 3 0 4 7 9 3 0 5 6 5 0 3 , 1 1 5 7 7 1 3 , 4 4 7 6 , 2 8 6 4 1 , 7 5 6 3 , 1 7 9 3 , 0 1 3 2 2 , e l t t a C 4 4 1 6 , 6 7 5 2 0 1 1 8 1 2 9 1 3 7 5 4 2 6 1 , 2 1 1 7 0 1 9 1 2 1 1 5 6 9 1 1 6 4 7 3 7 3 6 1 3 , 7 4 3 1 4 1 7 5 7 5 4 2 1 , / General Table & Descriptive Analysis Report 234 MILK PRODUCTION AT HOUSEHOLD LEVEL AND PURPOSE OF PRODUCTION This table gives information on quantity of milk production by the purpose of its use.
The reference period for this table is last 3 months from the date of enumeration.

Out of the total 6,144 farms involved in dairy farming, a total of 2,134,057 liters of milk was produced.

As regards to the purpose of its production, 79.5% of the total milk produced was sold, 17.1% used for home consumption, 2.3% given away and 1.1% was rejected.
At Division level, Central produced 71.2% of total milk production, Western Division with 24.3%, Northern Divison with 4.5% and Eastern Division with 0.03% in the last 3 months from the date of enumeration.

Figure 5.8.1 shows that Central and Western Division mainly produced milk for sale with 89.8% and 59.8% respectively while Eastern and Northern Division focused on home consumption with both had 78.5% and 74.0%.
Eastern Division only produced milk for ohmne consumption, given away to relatives and had some volume of reljected milk.
Figure 5.8.1: % of Milk Production by Purpose of Production at Province level Home Consumption (litres) Sale Given Away (litres) Rejected (litres) Total Ra Nadroga/Navosa Ba Total Macuata Cakaudrove Bua Total Lomaiviti Lau Kadavu Total Tailevu Serua Rewa Namosi Naitasiri Total 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% General Table & Descriptive Analysis Report 235 235 @ n o i t - c u d o r P e c n i v o r P @ n o i t - c u d o r P e c n i v o r P @ n o i t - c u d o r P e c n i v o r P @ n o i t - c u d o r P e c n i v o r P l a t o T o t % e m u l o V l a t o T o t % e m u l o V l a t o T o t % e m u l o V l a t o T o t % e m u l o V ) s e r t i l ( e l t g n i p e e K - t a C y r i a D ) s e r t i l ( n o i t c u d o r P d l o h e s u o H ) s e r t i l ( d e t c e j e R ) s e r t i l ( y a w A n e v i G ) s e r t i l ( / n o i s i v i D / ) s r e t i L n i ( d e c u d o r P k l i M f o y t i t n a u Q : 8 .
5 e l b a T l e v e l % 1 1 .

% 4 0 .

% 1 0 .

% 3 5 .

% 4 0 .

% 1 1 .

% 0 1 .

% 0 0 .

% 2 3 1 .

% 0 0 .

% 0 0 .

% 7 7 .

% 7 2 .

% 7 1 .

% 3 0 .

% 5 1 .

% 2 1 .

% 5 1 .

% 0 1 .

% 3 1 .

1 3 3 3 2 , 8 9 0 2 , 9 4 0 5 1 8 8 2 , 8 7 2 0 1 , 6 5 3 5 1 , 0 0 5 0 0 0 5 0 0 1 6 3 1 1 , 8 5 1 4 9 3 1 , 1 3 2 4 , 9 2 8 1 , 1 7 4 1 3 5 6 , l e v e l % 3 2 .

% 0 1 .

% 2 0 .

% 3 6 1 .

% 6 4 .

% 9 1 .

% 1 2 .

% 3 3 3 .

% 0 0 .

% 0 0 .

% 0 0 .

% 8 3 1 .

% 1 1 .

% 0 0 .

% 5 0 .

% 7 0 .


% 0 3 .

% 9 1 .

% 3 5 .

% 0 3 .

4 2 1 8 4 , 7 1 2 5 , 5 7 7 4 5 7 0 8 8 , 6 4 2 7 1 , 2 9 8 1 3 , 0 9 0 0 0 0 9 2 5 4 0 1 3 2 3 8 6 3 2 6 0 1 , 9 1 3 2 , 7 1 5 2 , 9 5 4 5 1 , l e v e l % 5 9 7 .

% 0 1 9 .

% 0 4 7 .

% 6 5 5 .

% 3 2 6 .

% 2 2 9 .

% 8 9 8 .

% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 0 0 .

% 6 9 1 .

% 1 3 3 .

% 5 6 2 .

% 8 3 2 .

% 3 3 6 .

% 3 0 5 .

% 2 8 5 .

% 8 9 5 .


4 8 0 5 5 4 , 3 9 8 0 3 , 6 7 9 9 2 , 2 8 3 7 , 1 8 9 0 4 8 , , 5 9 6 6 9 6 1 , , 6 1 3 4 6 3 1 , 0 0 0 0 0 8 4 2 8 6 5 9 1 2 3 6 2 1 6 3 8 2 2 8 7 9 0 2 2 , 1 0 0 1 6 , 4 6 5 7 2 , 3 4 5 9 0 3 , l e v e l % 1 7 1 .

% 5 7 .

% 7 5 2 .

% 8 2 2 .

% 7 2 3 .

% 8 4 .

% 1 7 .

% 7 6 6 .

% 8 6 8 .

.

% 0 0 0 1 % 0 0 .

% 5 8 7 .

% 7 6 7 .

% 3 5 6 .

% 7 2 7 .

% 0 4 7 .

% 5 2 3 .

% 2 6 4 .

% 6 3 % 4 5 3 .
7 0 9 5 6 3 , 3 6 6 7 3 , 2 2 7 0 1 , 5 7 2 2 1 , 0 8 8 3 , 5 7 8 3 4 , 5 1 4 8 0 1 , 0 8 1 0 3 3 2 - 2 1 5 0 5 3 2 3 , 1 6 8 3 , 0 8 6 4 3 , 1 9 8 0 7 , 7 9 2 3 1 1 , 3 2 0 6 5 , 9 6 7 6 1 , 9 8 0 6 8 1 , , 7 5 0 4 3 1 2 , 2 6 0 0 0 5 , 0 4 7 1 4 , 9 3 9 3 5 , 8 5 8 1 1 , 0 8 3 2 1 9 , , 9 7 9 9 1 5 1 , 0 7 2 0 8 3 2 - 2 5 6 6 8 1 2 4 , 7 1 9 5 , 1 0 7 7 4 , 4 0 8 5 9 , 9 2 1 9 4 3 , 2 7 1 1 2 1 , 1 2 3 7 4 , 2 2 6 7 1 5 , 4 4 1 6 , 6 7 5 2 0 1 1 8 1 2 9 1 3 7 5 4 2 6 1 , 2 1 1 7 0 1 9 1 2 1 1 5 6 9 1 , 1 6 4 7 3 7 3 6 1 3 , 7 4 3 1 4 1 7 5 7 5 4 2 1 , - a k a C e v o r d u a t a u c a M l a t o T a B / General Table & Descriptive Analysis Report 236 w o C 6 2 8 9 2 % 3 4 r e e t S 2 7 6 7 % 1 1 4 3 0 2 % 3 s l l u B r e d e e r B 5 8 2 8 % 2 1 r e f i e H 4 1 1 2 1 % 7 1 f l a C 0 1 1 0 1 % 4 1 g n i k r o W s k c o l l u B r e d e e r B % 8 1 1 .
.

, s w o c % Th .

s k c o l l u B g n i k r o W f o % 1 3 d n a .

s r e e t S % 7 0 1 .

, s e v l a C % 3 4 1 .

, s r e f i e H % 4 6 1 .

, s l l u B - t a C f e e B f o ) x e s / e g a ( % 9 3 6 , , f l a C f o % 1 9 5 .

, s r e f i e H f o % 0 3 6 .

, s l l u B r e d e e r B f o % 2 8 4 .


, s w o C f o % 8 4 5 .

; s e l t .

s k c o l l u B g n i k r o W .

f o % 6 9 6 d n a r e e t S s e s s a l C / n o i s i v i D / l a n o i t a N / e l t t a C f e e B f o k c o t S 9 .

 : 1 .

9 .
9 .

 - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % w o r t n e l a t o t .

% 0 0 0 1 1 4 0 0 7 , % 5 8 1 .

% 3 2 .

% 8 1 2 .

% 5 7 5 .

4 2 9 2 1 , 8 0 6 1 , 5 6 2 5 1 , 4 4 2 0 4 , w o r t n e l a t o t .

% 0 0 0 1 % 8 3 .

% 0 0 .


% 5 6 2 .

% 6 9 6 .

4 3 0 2 , 5 1 4 1 , 0 4 5 8 7 1 w o r t n e l a t o t .

% 0 0 0 1 % 4 4 1 .

% 0 3 .

% 8 8 1 .

% 9 3 6 .

2 7 6 7 , 2 0 1 1 , 8 2 2 3 4 4 1 , 9 9 8 4 , w o r t n e l a t o t .

% 0 0 0 1 % 1 7 1 .

% 0 1 .

% 9 2 2 .

% 1 9 5 .

0 1 1 0 1 , 8 2 7 1 , 9 9 3 1 3 2 , 0 7 9 5 , w o r t n e l a t o t .

% 0 0 0 1 % 0 9 1 .

% 8 1 .

% 3 6 1 .

% 0 3 6 .

4 1 1 2 1 , 7 9 2 2 , 4 1 2 4 7 9 1 , 9 2 6 7 , w o r t n e l a t o t .

% 0 0 0 1 % 9 9 1 .

% 0 1 .


% 9 0 3 .

% 2 8 4 .

5 8 2 8 , 9 4 6 1 , 4 8 2 6 5 2 , 0 9 9 3 , w o r t n e l a t o t .

% 0 0 0 1 % 4 0 2 .

% 3 3 .

% 6 1 2 .

% 8 4 5 .
6 2 8 9 2 , 0 7 0 6 , , n r e h t r o N 1 4 3 6 1 , n r e t s e W General Table & Descriptive Analysis Report 237 237 Figure 5.9.2: Distribution of Beef Cattle by Classes/Division FIJI Western Northern Eastern Central Cow Heifer Calf Breeder Bulls Steer Working Bullocks General Table & Descriptive Analysis Report 238 t n e r a p m u l o c l a t o t o t % .
% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 t n u o C t n e r a p m u l o c o t % 1 4 0 0 7 , 9 3 6 4 , 7 3 4 2 , 1 8 6 1 , 0 6 4 3 , 7 0 7 4 2 9 2 1 , 1 5 3 8 7 5 4 5 9 2 2 8 0 6 1 , 6 2 7 4 , 6 3 9 7 , 3 0 6 2 , 5 6 2 5 1 , 4 7 0 3 1 , 4 8 0 7 1 , l a t o t % 9 2 .

% 3 0 .

% 1 0 .

% 8 0 .

% 3 0 .

% 5 1 .

% 6 0 .


% 0 0 .

% 0 0 .

% 2 0 .

% 0 0 .

% 1 0 .

% 8 1 .

% 8 0 .

% 0 5 1 .

% 5 3 .

% 6 2 .

% 4 5 .

t n u o C 4 3 0 2 , 2 1 2 6 5 3 5 8 7 - - 1 - 1 3 8 7 6 0 9 3 0 4 5 8 3 3 9 1 9 .

% 0 0 0 1 .

% 0 0 0 1 6 8 0 0 1 , 4 4 2 0 4 , % 6 1 .

% 5 3 .

5 1 4 1 , 8 5 1 t n e r a p m u l o c l a t o t o t % % 0 1 1 .

% 0 8 .

% 1 2 1 .

% 1 9 .

% 2 3 1 .

% 4 4 .

% 5 8 .

% 8 7 .

% 5 5 2 .

% 4 4 .

% 0 0 .

% 2 4 1 .

% 1 9 .

% 8 1 1 .

% 2 3 .

% 5 9 .


% 7 2 1 .

% 1 9 .

% 7 6 1 .

% 2 2 1 .

t n u o C 2 7 6 7 , 0 7 3 4 9 2 4 6 2 2 2 2 5 1 2 0 1 1 , 0 0 2 4 4 2 - 8 2 2 8 2 4 3 3 9 3 4 4 1 , 8 5 6 1 , 0 6 5 1 , 2 8 1 8 6 1 , 9 9 8 4 , t n e r a p m u l o c l a t o t o t % % 4 4 1 .

% 3 3 1 .

% 6 3 1 .

% 2 6 2 .

% 7 2 1 .

% 0 1 1 .

% 4 3 1 .

% 6 1 2 .

% 1 5 .

% 0 7 .

% 4 4 .

% 2 6 .

% 0 9 1 .

% 8 4 1 .

% 2 9 .

% 2 5 1 .

% 0 5 1 .

% 8 8 1 .

% 8 7 .

% 8 4 1 .


t n u o C 0 1 1 0 1 , 9 1 6 1 3 3 5 8 1 4 1 2 9 7 3 8 2 7 1 , 1 1 0 4 8 3 0 1 9 9 5 7 1 1 , 8 9 8 3 1 3 2 , 3 6 9 1 , 9 1 2 3 , 0 4 2 0 7 9 5 , 8 8 7 t n e r a p m u l o c l a t o t o t % % 3 7 1 .

% 0 3 1 .

% 2 3 3 .

% 8 7 1 .

% 8 1 3 .

% 5 6 .

% 8 7 1 .

% 7 3 1 .

% 6 8 1 .

% 5 0 1 .

% 7 1 .

% 3 3 1 .

% 4 4 1 .

% 9 4 1 .

% 2 4 .

% 9 2 1 .

% 2 8 1 .

% 3 7 1 .

% 8 2 2 .

% 0 9 1 .


t n u o C 4 1 1 2 1 , 4 0 6 9 0 8 6 2 1 4 3 5 4 2 2 7 9 2 2 , 6 4 1 7 7 5 4 4 1 2 0 8 6 5 8 1 1 , 4 7 9 1 , 3 7 3 2 , 4 5 9 2 , 9 0 1 2 0 3 2 , 9 2 6 7 , t n e r a p m u l o c l a t o t o t % % 8 1 1 .

% 5 7 1 .

% 0 8 .

% 9 2 1 .

% 5 0 1 .

% 8 0 1 .

% 8 2 1 .

% 8 7 .

% 7 3 .

% 4 8 .

% 2 2 .

% 2 5 .

% 7 1 1 .

% 1 0 2 .

% 8 5 1 .

% 8 6 1 .

% 7 9 .

% 3 9 .

% 2 1 1 .

% 9 9 .


t n u o C 5 8 2 8 , 1 1 8 6 9 1 1 9 7 7 1 4 7 3 9 4 6 1 , 4 9 2 6 4 5 4 8 7 9 5 1 , 3 5 5 2 6 5 2 , 9 6 2 1 , 0 9 5 1 , 2 1 4 1 3 1 1 , 0 9 9 3 , t n e r a p m u l o c l a t o t o t % % 6 2 4 .

% 9 7 4 .

% 0 3 3 .

% 2 3 3 .

% 5 1 3 .

% 8 5 6 .

% 0 7 4 .

% 0 9 4 .

% 0 7 4 .

% 5 9 6 .

% 7 1 9 .

% 1 1 6 .

% 1 4 4 .

% 5 7 3 .

% 6 2 5 .

% 1 2 4 .

% 9 1 4 .

% 0 0 4 .


t n u o C 6 2 8 9 2 , 3 2 2 2 , 5 0 8 5 3 2 9 2 5 8 7 2 2 , 0 7 0 6 , 5 2 8 6 3 9 7 3 0 1 2 2 8 9 4 8 0 2 , 9 7 9 2 , 0 7 3 1 , 3 3 4 6 , 3 7 4 5 , 2 4 8 6 , % 9 9 3 .

% 6 0 4 .
6 2 0 4 , 1 4 3 6 1 , - / / e c n i v o r P / n o i s i v i D / l a n o i t a N / e l t t a C f e e B f o k c o t S 0 1 .
5 e l b a T l e v e L e c n i v o r P General Table & Descriptive Analysis Report 239 239 ) s h t n o m ) s h t n o m k c o t S f o r e b m u N - n I - d e r e t h g u a l S 2 1 t s a l ( y l l a m r o f n e v i G k c o t S t s a l ( ( y a w A ) s h t n o m 2 1 ) s h t n o m 2 1 t s a l ( - / e c n i v o r P / n o i s i v i D / l a n o i t a N / e l t t a C f e e B f o t n u o c k c o t S : 1 1 .
& Y A W A N E V I G , T S O L , - , 3 5 8 2 8 1 2 5 9 5 0 2 0 1 4 3 2 6 4 - - , 9 3 6 4 , 7 3 4 2 , 1 8 6 1 , 0 6 4 3 , 7 0 7 4 2 9 2 1 , 1 5 3 8 7 5 4 5 9 2 2 8 0 6 1 , 6 2 7 4 , 6 3 9 7 , 3 0 6 2 , 5 6 2 5 1 , 4 7 0 3 1 , 4 8 0 7 1 , 6 8 0 0 1 , 4 4 2 , 0 4 r i o t t a b A o t t o N r i o t t a b A 8 9 4 6 , 6 6 6 7 4 6 7 3 5 1 0 6 6 2 0 6 1 , 6 1 1 5 7 9 9 5 3 2 2 2 4 2 1 4 7 2 1 0 5 7 6 6 2 3 , 6 0 4 2 1 5 9 8 4 7 0 4 , / General Table & Descriptive Analysis Report 240 : 1 .
2 1 .

5 e r u g i F 1 4 3 4 , , , f o l a t o t a f o t u o , .

i g n m r a f p e e h S n i d e v l o v n i e r e w , l a t o t e h t f o % 9 8 1 .

g n i t u t i t s n o c s r e m r a f m o r f % 6 7 4 .

, n o i s i v i d n r e h t r o N m o r f e m a c % 7 7 4 .
f o n o i t r o p o r p t s e h g i h , y r t n u o c e h t n i p e e h s 5 3 4 7 3 , P E E H S - i v i d n r e t s a E m o r f .

% % 7 2 .

, n o i s i v i d n r e t s e W b m a L , t e g g o H % 2 2 , s m a R % 2 1 , s e w E % .
Th n o i s s e w E 4 2 6 7 1 % 7 4 m a R 0 9 4 4 % 2 1 b m a L 9 1 1 7 % 9 1 t r e g g o H 2 0 2 8 % % 9 1 % 3 7 2 .

% 9 8 1 .

% 3 7 7 4 .

% 5 6 7 4 .

% 0 0 0 0 1 .

n o i s i v i D y b e r a h s % t n u o C 5 3 4 7 3 , 6 0 7 2 2 0 1 , 8 6 8 7 1 , 9 3 8 7 1 , k c o t S l a t o T % 3 2 5 .

% 9 0 2 .

% 0 0 1 5 .

% 7 6 1 4 .

% 0 0 0 0 1 .


n o i s i v i D y b e r a h s % m a R t n u o C 0 9 4 4 , 5 3 2 4 9 0 9 2 2 , 1 7 8 1 , % 0 0 4 .

% 1 7 2 .

% 2 8 2 4 .

% 7 4 0 5 .

% 0 0 0 0 1 .

n o i s i v i D y b e r a h s % b m a L t n u o C 9 1 1 7 , 5 8 2 3 9 1 8 4 0 3 , 3 9 5 3 , % 4 8 0 .

% 1 7 2 .

% 4 9 5 4 .

% 1 5 0 5 .

% 0 0 0 0 1 .


n o i s i v i D y b e r a h s % t n u o C 2 0 2 8 , 9 6 2 2 2 8 6 7 3 , 3 4 1 4 , t r e g g o H n o i s i v i D y b e r a h s % s e w E t n u o C % 0 0 0 0 1 .

4 2 6 7 1 , % 6 4 2 .

% 2 1 1 .

% 2 7 9 4 .

% 1 7 6 4 .

3 3 4 7 9 1 2 6 7 8 , 2 3 2 8 , / n o i s i v i D / l a n o i t a N / p e e h S f o k c o t S : 2 1 .
5 e l b a T General Table & Descriptive Analysis Report 241 241 Figure 5.12.2: Distribution of Sheep by Classess/Division Ewes Hoggert Lamb Ram Western 46.1% 23.2% 20.1% 10.5% Northern 49.0% 21.1% 17.1% 12.8% Eastern 27.9% 31.4% 27.3% 13.3% Central 42.4% 6.8% 27.9% 23.0% FIJI 47.1% 21.9% 19.0% 12.0% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Province Level Table 5.13: Stock of Sheep/National/Divisional/Province/Classes at the day of Census - Province o i s Ewes Hoggert Lamb Ram Total Stock Count % share Count Count % share Count % share % share Count Total 17,624 47.08% 8,202 21.91% 7,119 19.02% 4,490 11.99% 37,435 82 36.28% 29 72.50% 30 43.48% 100 43.67% 192 41.92% 433 42.37% 154 26.06% 24 34.78% 19 41.30% Naitasiri Namosi Rewa Serua Tailevu Total Lau Lomaiviti Rotuma Total Bua Cakaudrove 701 38.62% 509 28.04% 355 19.56% 250 13.77% Macuata 4,500 51.58% 1,470 16.85% 1,605 18.40% 1,150 13.18% Total Ba Nadroga/ Navosa Ra Total % share 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% General Table & Descriptive Analysis Report 242 COUNT OF STOCK SOLD, LOST, GIVEN AWAY & SLAUGHTERED INFORMALLY IN THE LAST 12 MONTHS Table 5.14: Stock count of Sheep/National/Division/Province/ Status o i s i v i D n Province Num- ber Of
 Household Keeping Sheep Current Stock at the day of Interview Number of Stock Sold Abattoir Not to Abattoir Number of Stock Lost Number of Stock Given Away Number of Stock Slaughtered- In- formally I Total J I F l Naitasiri a r t n Namosi e C Rewa Serua Tailevu Total 4,341 37,435 37 10 9 24 22 226 40 69 229 458 409 7 102 - - - 102 1,022 109 n Lau r e t s a E Lomaiviti Rotuma Total Bua Caka- udrove Macuata Total Ba Nadroga/ Navosa Ra Total n r e h t r o N n r e t s e W 3 3 10 16 1,398 678 591 69 46 706 7,328 1,815 596 8,725 2,672 17,868 374 10,678 543 2,985 634 4,176 1,551 17,839 - 12 - 12 9 100 10 119 48 117 4 169 1,664 1,198 57 531 - - - - 51 51 - - - 291 441 303 1,035 301 216 61 578 1 - - 17 30 48 - 15 17 32 315 207 294 816 204 74 24 302 - - - 2 1 3 2 - 2 11 6 10 27 14 10 1 25 - - - - 2 2 6 - 3 9 83 142 205 430 42 45 3 90 General Table & Descriptive Analysis Report 243 243 Goat During the Census reference period, out of a total of 22,991 livestock farmers in the country, 9,212 farming households constituting 40.1% of the total, were involved in Goat farming.
Out of the total stock of 143,853 goats in Fiji, the highest proportion of 64.8% of the stock was accounted for by Western division followed by 31.5% by Northern division, 3.3% by Central division and a small proportion of 0.5% by Eastern division.

The total stock of goat in the country comprised of 43.0% Does, 14.8% Breeder Buck (Khasi), and 22.0% Weaners and 20.1% Kids.
Figure 5.15.1: Distribution of Goat Stock by Classess in Fiji Buck 21283 15% Kid 28956 20% Weaners, 31699 22% Doe 61915 43% STOCK COUNT Geographical Division Level Table 5.15: Stock of Goat at National/ Divisional/Classes at the day of Census Division Doe Buck Weaners Kid Total Stock Count % share Count % share Count % share Count % share Count % share FIJI 61,915 100.00% 21,283 100.00% 31,699 100.00% 28,956 100.00% 143,853 100% Central 2,010 Eastern 313 3.25% 0.51% 1,025 160 4.82% 0.75% 609 148 1.92% 0.47% 1,047 98 3.62% 0.34% 4,691 719 3.26% 0.50% Northern 20,593 33.26% 7,476 35.13% 8,837 27.88% 8,382 28.95% 45,288 31.48% Western 38,999 62.99% 12,622 59.31% 22,105 69.73% 19,429 67.10% 93,155 64.76% Figure 5.15.2: Distribution of Goat by Classess/Division Buck Doe Kid Weaners Western 13.5% 41.9% 20.9% 23.7% Northern 16.5% 45.5% 18.5% 19.5% Eastern 22.3% 43.5% 13.6% 20.6% Central 21.9% 42.8% 22.3% 13.0% FIJI 14.8% 43.0% 20.1% 22.0% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% General Table & Descriptive Analysis Report 244 Province Level Table 5.16: Stock of Goat at National/Divisional/Province level/Classes at the day of Census n Province o i s i v i D Doe Count % share Buck Weaners Kid Total Stock Count % share Count % share Count % share Count % 61,915 43.04% 21,283 14.79% 31,699 22.04% 28,956 20.13% 143,853 100% I Total J I F l Naitasiri a r t n Namosi e C Rewa Serua Tailevu Total n Kadavu Lau r e t s a E Lomaiviti Rotuma Total n Bua r e h t r o N Caka- udrove Total n Ba r e t s e W Nadroga/ Navosa Ra Total 20.58%
4,691 203 205 84 227 719 160 22.25% 148 20.58% 7,646 46.88% 2,086 12.79% 3,949 24.21% 2,628 16.11% 16,309 1,033 34.54% 480 16.05% 827 27.65% 651 21.77% 2,991 Macuata General Table & Descriptive Analysis Report 245 245 COUNT OF STOCK SOLD, LOST, GIVEN AWAY & SLAUGHTERED INFORMALLY IN THE LAST 12 MONTHS Table 5.17: Stock count of Goat/National/Division/Province/Livestock Status Division Province Number Of Household Keeping Goat Current Stock at the day of Interview Number of Stock Sold Abattoir Not to Abattoir Number of Stock Lost Number of Stock Given Away Number of Stock Slaugh- tered- Infor- mally FIJI Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Northern Bua Caka- udrove Macuata Total Western Ba Nadroga/ Navosa Ra Total - 6 21 1,030 32 2 - - 34 24 36 189 249 394 255 125 774 39 21 7 13 56 136 6 - - 3 9 667 105 919 1,691 1,288 1,084 322 2,694 29 - - 17 77 123 - 8 - 39 47 592 360 1,208 2,160 1,685 718 278 2,681 4 - 2 5 212 223 - 1 10 10 21 22 19 76 117 213 103 32 348 21 - 13 20 43 97 - 7 3 36 46 191 147 1,077 1,415 597 571 85 1,253 General Table & Descriptive Analysis Report 246 PIG During the Census reference period, out of a total of 22,991 livestock farmers in the country, 8,515 farming households constituting 37.0% of the total, were involved in Pig farming.
Out of the total stock of 58,420 pigs in Fiji, the highest proportion of 43.8% of the stock was accounted for by Central division followed by 26.4% by Western division, 17.6% by Eastern division and 12.3% by Northern division.

The total stock of pig in the country comprised of 24% Sow, 12% Boar, 6% Gilts, 5% Porkers, 21% Weaners and 32% Piglets.

Figure 5.18.1 Distribution of Pig by Classes in Fiji.
Gilts 3653 6% Boar 7174 12% Weaners 12023 21% Porkers 2826 5% Piglet 18784 32% Sow 13960 24% General Table & Descriptive Analysis Report 247 247 - r a p o t % w o r t n e l a t o t .

% 0 0 0 1 0 2 4 8 5 , % 8 3 4 .

% 6 7 1 .

% 3 2 1 .

% 4 6 2 .


7 7 5 5 2 , 2 6 2 0 1 , 0 7 1 7 , 1 1 4 5 1 , t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % t n u o C - r a p o t % / n o i s i v i D / .
.

% 0 0 0 1 % 1 9 3 .

% 9 0 2 .

% 2 3 1 .

% 8 6 2 .

4 8 7 8 1 , 8 3 3 7 , 3 2 9 3 , 6 8 4 2 , 7 3 0 5 , w o r t n e l a t o t .

% 0 0 0 1 % 4 4 5 .

% 9 9 .

% 9 6 .

% 7 8 2 .

3 2 0 2 1 , 3 4 5 6 , 4 9 1 1 , 6 5 4 3 , 0 3 8 w o r t n e l a t o t .

% 0 0 0 1 % 1 5 8 .

% 8 0 .

% 8 2 .

% 3 1 1 .

6 2 8 2 , 5 0 4 2 , 3 2 0 8 8 1 3 w o r t n e l a t o t .

% 0 0 0 1 % 8 7 4 .

% 7 0 1 .

% 3 1 1 .


% 2 0 3 .

3 5 6 3 , 7 4 7 1 , 1 9 3 2 1 4 3 0 1 1 , w o r t n e l a t o t .

% 0 0 0 1 % 0 2 3 .

% 6 6 2 .

% 7 7 1 .

% 7 3 2 .

4 7 1 7 , 8 9 2 2 , 5 0 9 1 , 8 6 2 1 , 3 0 7 1 , w o r t n e l a t o t .

% 0 0 0 1 % 6 7 3 .

% 2 0 2 .

% 0 5 1 .

% 2 7 2 .

0 6 9 3 1 , 6 4 2 5 , 6 2 8 2 , 4 9 0 2 , 4 9 7 3 , / s e s s a l C y b s g i P f o n o i t u b i r t s i D : 2 .
8 1 .

 .

5 5 9 9 2 5 2 1 6 1 0 4 0 0 0 8 2 2 1 .

.

0 7 0 8 2 0 8 5 0 2 .

0 1 6 2 9 5 9 8 3 2 .

0 1 2 7 3 3 5 1 2 3 .

0 I J I F .

2 1 6 4 3 4 6 5 0 2 2 2 0 7 5 0 1 3 7 8 0 4 0 5 0 5 0 1 1 .

.

0 2 0 4 5 5 2 4 2 2 .

0 8 8 7 7 8 1 6 4 2 .

0 2 6 4 4 4 8 6 2 3 .

0 n r e t s e W .

1 0 6 6 7 5 4 1 6 1 1 1 6 0 4 7 0 5 0 8 0 7 9 7 4 8 6 7 1 .

.

0 2 1 1 0 6 7 5 1 1 .

0 9 0 2 0 5 0 2 9 2 .


0 5 5 4 2 2 7 6 4 3 .

0 n r e h t r o N .

9 7 5 2 3 1 7 4 1 2 0 2 1 0 8 0 3 8 0 0 2 0 3 6 3 6 5 8 1 .

.

0 8 8 5 1 5 3 6 1 1 .

0 5 1 9 4 8 3 5 7 2 .

0 5 5 1 4 8 2 2 8 3 .

0 n r e t s a E % 0 0 1 % 0 8 % 0 6 % 0 4 % 0 2 % 0 .

2 9 7 9 2 0 4 4 9 5 0 5 3 0 0 3 6 8 4 6 3 0 6 0 4 8 9 8 0 .

.

0 2 7 7 5 1 8 5 5 2 .

0 5 1 6 0 1 5 0 2 .

0 5 8 3 8 9 8 6 8 2 .

0 l a r t n e C General Table & Descriptive Analysis Report 248 n m u l o c t n e r a p .
% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 .

% 0 0 0 1 0 2 4 8 5 , 2 1 5 4 , 9 1 2 5 , 9 5 0 8 , 6 0 6 1 , 1 8 1 6 , 7 7 5 5 2 , 5 7 4 1 , 7 8 6 5 , 2 7 6 1 , 8 2 4 1 , 2 6 2 0 1 , 0 7 5 1 , 0 8 2 3 , 0 2 3 2 , 0 7 1 7 , 8 0 8 8 , 5 7 9 3 , o t % t n u o C l a t o T .

% 0 0 0 1 .
% 0 0 0 1 .

% 0 0 0 1 8 2 6 2 , 1 1 4 5 1 , n m u l o c t n e r a p o t % % 2 2 3 .

% 4 2 3 .

% 2 1 3 .

% 6 9 1 .

% 0 4 3 .

% 4 4 3 .

% 7 8 2 .

% 5 1 3 .

% 2 1 4 .

% 3 1 3 .

% 6 1 4 .

% 2 8 3 .

% 2 6 3 .

% 5 4 3 .

% 9 3 3 .

% 7 4 3 .

% 1 3 3 .

% 8 3 3 .

% 6 9 2 .

% 7 2 3 .


t e l g i P t n u o C 4 8 7 8 1 , 0 6 4 1 , 8 2 6 1 , 9 7 5 1 , 5 2 1 2 , 8 3 3 7 , 1 4 3 2 , 5 6 4 6 4 5 3 2 5 4 9 5 3 2 9 3 , 0 3 1 1 , 9 6 5 6 8 4 2 , 4 1 9 2 , 4 4 3 1 , 7 8 7 7 3 0 5 , 9 7 7 n m u l o c t n e r a p % 6 0 2 .

% 7 0 2 .

% 4 2 4 .

% 5 5 2 .

% 6 4 1 .

% 9 7 1 .

% 6 5 2 .

% 2 7 1 .

% 7 3 1 .

% 4 2 .

% 5 8 .

% 6 1 1 .

% 1 3 1 .

% 5 0 1 .

% 1 2 1 .

% 6 1 1 .

% 9 4 2 .

% 3 5 1 .

% 8 4 2 .

% 4 2 2 .


3 2 0 2 1 , 3 1 2 2 , 6 5 0 2 , 7 0 1 1 , 3 4 5 6 , 5 3 2 2 3 9 4 5 2 8 7 7 0 4 2 2 1 4 9 1 1 , 6 0 2 4 4 3 0 8 2 0 3 8 3 9 1 2 , 0 1 6 6 5 4 3 , 3 5 6 n m u l o c t n e r a p % 8 4 .

% 5 3 .

% 2 4 .

6 2 8 2 , 7 5 1 1 2 2 % 8 3 2 .

7 1 9 1 , % 3 5 .

% 4 0 .

% 4 9 .

% 0 0 .

% 0 0 .

% 4 1 .

% 0 0 .

% 2 0 .

% 0 0 .

% 4 2 .

% 0 0 .

% 1 1 .

% 8 2 .

% 3 1 .

% 9 0 .

% 1 2 .


5 0 4 2 , 5 8 5 2 - - 3 2 3 2 - 0 8 0 8 - - % 3 6 .

% 8 9 .

% 9 8 .

% 3 5 .

% 8 3 .

% 8 5 .

% 8 6 .

% 7 7 .

% 5 3 .

% 4 4 .

% 4 0 .

% 8 3 .

% 7 6 .

% 0 7 .

% 4 3 .

% 7 5 .

% 1 8 .

% 5 5 .

3 5 6 3 , 0 4 4 3 6 4 6 2 4 1 6 7 5 3 7 4 7 1 , 3 1 1 0 0 2 3 7 5 1 9 3 5 0 1 9 2 2 8 7 2 1 4 6 1 7 8 1 2 % 4 6 .

% 2 7 .

3 0 1 1 , 9 6 1 % 3 2 1 .

% 0 0 1 .

% 6 1 .


% 5 6 .

% 1 5 1 .

% 2 6 1 .

% 0 9 .

% 7 9 1 .

% 2 9 1 .

% 4 8 1 .

% 0 5 1 .

% 6 8 1 .

% 1 6 1 .

% 0 9 1 .

% 0 7 1 .

% 7 7 1 .

% 7 8 .

% 9 4 1 .

% 2 3 1 .

% 1 1 1 .

4 7 1 7 , 1 5 4 3 8 2 2 5 2 4 2 0 0 0 1 , 8 9 2 2 , 3 9 0 1 , 0 9 2 8 0 3 4 1 2 5 0 9 1 , 2 5 2 2 2 6 4 9 3 8 6 2 1 , 3 6 7 2 9 5 3 0 7 1 , 8 4 3 % 9 3 2 .

% 8 3 2 .

% 7 1 1 .

% 3 9 1 .

% 2 7 2 .

% 4 5 2 .

% 5 0 2 .

% 9 3 2 .

% 4 2 2 .

% 2 2 4 .

% 5 4 3 .

% 5 7 2 .


% 9 7 2 .

% 7 6 2 .

% 7 3 3 .

% 2 9 2 .

% 5 2 2 .

% 2 9 2 .

% 0 5 2 .

% 6 4 2 .
0 6 9 3 1 , l a t o T I J I F 2 7 0 1 , 9 5 5 1 , 1 1 6 7 6 5 1 , 6 4 2 5 , 5 7 2 1 , 3 5 3 7 3 4 5 0 7 3 9 4 6 2 8 2 , 8 3 4 5 7 8 1 8 7 4 9 0 2 , 9 7 9 1 , 9 5 1 1 , 4 9 7 3 , / a g o r d a N a s o v a N l a t o T a R o t % t n u o C o t % t n u o C o t % t n u o C o t % t n u o C o t % / l e v e l e c n i v o r P / n o i s i v i D / l a n o i t a N / g i P f o k c o t S 9 1 .
5 e l b a T l e v e L e c n i v o r P General Table & Descriptive Analysis Report 249 249 - / e c n i v o r P / n o i s i v i D / l a n o i t a N / s g i P f o t n u o c k c o t S : 0 2 .
& Y A W A N E V I G , T S O L , , 3 6 5 3 1 6 0 1 4 0 3 5 2 1 1 7 0 6 6 5 2 6 2 3 1 , y a w A 2 0 6 1 , , - , 9 0 2 2 , 9 8 4 1 , 0 2 4 8 5 , 2 1 5 4 , 9 1 2 5 , 9 5 0 8 , 6 0 6 1 , 1 8 1 6 , 7 7 5 5 2 , 5 7 4 1 , 7 8 6 5 , 2 7 6 1 , 8 2 4 1 , 2 6 2 0 1 , 0 7 5 1 , 0 8 2 3 , 0 2 3 2 , 0 7 1 7 , 8 0 8 8 , 5 7 9 3 , 8 2 6 2 , 1 1 4 5 1 , 3 1 7 6 4 2 2 6 2 2 3 5 1 5 8 , 7 7 0 1 , 0 8 7 2 , 1 1 3 5 8 6 1 1 4 7 5 1 4 6 5 1 , 8 3 3 1 9 7 6 2 2 6 9 3 6 2 , 8 4 3 4 1 6 0 7 5 2 3 5 1 , / a g o r d a N l a t o T a R n r e h t r o N n r e t s e W General Table & Descriptive Analysis Report 250 POULTRY During the Census reference period, out of a total of 22,991 livestock farmers in the country, 8,862 households constituting 38.5% of the total, were involved in Poultry farming.
Out of the total of 1,449,857 Birds in Fiji, the highest proportion of 62.0% percent of the birds were accounted for by Western division followed by 31.2% in Central division, 6.5% in Northern division and 0.4% in Eastern division.

The total number of birds in the country comprised of 79.2% Broilers, 10.6% Layers, 7.7% Local Chicken and 2.5% Ducks.
Figure 5.21.1: Distribution of Poultry Birds in Fiji Duck 36956 2% Local Chicken, 111286 8% Layer Birds, 154015 11% Broiler 1147600 79% NUMBER OF BIRDS Geographical Division Level Table 5.21: Number of Poultry Birds by Type of Poultry kept/National/Divisional Division Broiler Layer Birds Local Chicken Duck Total Stock Count % share by Divi- sion Count % share by Divi- sion Count % share by Divi- sion Count 36,956 12,313 100 9,995 % share by Divi- sion Count % share by Divi- sion 100.00% 1,449,857 100.00% 33.32% 452,014 31.18% 0.27% 27.05% 39.37% 5,088 94,361 0.35% 6.51% 898,394 61.96% FIJI Central Eastern Northern Western General Table & Descriptive Analysis Report 251 251 % 0 0 0 0 1 .
% 6 2 0 8 .

o t e r a h s % s d r i b l a t o t % 9 6 0 .

% 2 6 3 .

% 2 6 3 .

% 0 8 1 1 .

% 8 1 1 3 .

% 0 1 4 2 .

% 2 1 6 2 .

% 7 6 6 2 .

% 1 1 3 2 .

% 5 3 0 .

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t n u o C 5 1 0 4 5 1 , 5 6 4 9 8 , 0 5 9 4 6 0 3 , 3 4 2 3 , 4 1 7 5 , 6 3 4 2 0 1 , 7 6 7 7 7 1 8 1 5 - 2 6 4 1 , 4 5 4 1 7 5 3 , 4 1 6 6 1 , 9 3 6 0 2 , 9 9 2 6 2 , 2 8 8 7 9 2 2 , 8 7 4 9 2 , % 0 0 0 0 1 .

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t n u o C , 0 0 6 7 4 1 1 , 1 1 0 8 6 2 , 7 7 3 6 9 7 0 1 , 4 1 5 7 , 7 7 4 9 3 , 5 7 1 6 2 3 , 1 3 1 2 6 1 7 0 5 - 0 0 8 0 9 2 1 9 4 2 , 0 3 6 3 , 1 1 4 6 , 2 8 5 1 , 3 1 3 0 1 8 , 9 1 3 2 , 4 1 2 4 1 8 , / / n o i s i v i D / l a n o i t a N / : 2 2 .
5 e l b a T l e v e L e c n i v o r P General Table & Descriptive Analysis Report 252 y l l a m r o f - n I - d e r e t h g u a l S y a w A n e v i G t s o L e s u o h - / e c n i v o r P / n o i s i v i D / l a n o i t a N / s d r i B f o r e b m u N : 3 2 .
& Y A W A N E V I G , T S O L , D L O S S D R I B F O T N U O C 4 9 1 4 5 , 6 9 5 2 , 5 6 2 0 2 , 1 5 4 3 9 9 1 , 0 8 2 2 , 5 8 5 7 2 , 4 3 2 0 4 6 4 1 1 0 3 3 8 8 0 0 2 1 , 6 3 3 3 , 4 2 9 2 1 , 0 6 4 7 1 , 0 8 1 5 , 3 1 6 2 , 3 7 4 6 6 2 8 , 8 1 2 4 3 0 8 6 6 1 4 8 5 8 3 , 3 6 4 6 3 , 9 6 0 7 3 , - , 6 4 1 4 0 3 8 , 6 2 5 2 , 3 8 8 8 5 1 3 , 7 1 0 5 1 , 4 6 3 3 1 2 9 5 8 5 2 2 8 5 3 4 6 2 , 9 9 0 3 , 4 2 3 6 , 3 9 1 2 , 7 7 1 1 , 1 0 1 1 7 4 3 , 0 4 4 7 2 6 0 7 7 4 3 4 8 1 1 , 5 8 4 1 9 , 8 8 9 2 1 , 0 1 3 6 0 1 , - - - - - 9 6 2 8 0 9 1 , 6 5 7 2 , 3 3 9 4 , 8 8 5 5 , 7 5 3 1 , 6 4 2 1 9 1 7 , 0 3 3 3 5 4 8 6 , 0 8 6 0 8 4 , 8 4 9 4 6 1 8 4 , 9 1 5 0 5 1 , 1 4 3 0 8 6 , - - - - - 8 9 0 7 6 8 0 1 1 , 6 7 8 1 , 0 9 8 1 , 0 1 4 6 1 6 1 3 2 , 2 9 7 2 6 3 , 7 3 1 3 , 7 5 3 6 1 , 4 7 3 6 1 , 4 5 3 3 5 , 4 1 0 2 5 4 , 6 2 2 1 , 9 2 3 1 , 7 5 3 1 6 7 1 1 , 8 8 0 5 , 0 5 4 8 , 0 7 4 4 1 , 1 4 4 1 7 , 1 6 3 4 9 , 2 4 9 0 7 8 , 9 3 8 7 1 , 3 1 6 9 , 4 9 3 8 9 8 , , 7 5 8 9 4 4 1 , 0 6 2 0 6 5 4 1 2 0 3 7 1 4 2 6 8 8 , , 6 2 4 0 5 4 8 7 5 2 4 5 4 3 , / General Table & Descriptive Analysis Report 253 253 APICULTURE During the Census reference period, there were 1,294 households involved in the Apiculture (Bee keeping) managing a total of 13,162 Hives.
Out of these apiculturists, 60.2% households were located in Western division, 33.5% in Northern division, 5.7% in Central division and 5.7% in Eastern division.

In terms of share in the number of Hives, highest contribution of 65.2% came from Western division followed at 31.5% from Northern division, 2.63% from Central division and a miniscule 0.7% from Eastern division.
Table 5.24: Number of Apiculture Farms and Hives at the day of census Division Province Number of Farms Involved in Apiculture Number of Hives FIJI Central Eastern Northern Western Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Bua Cakaudrove Macuata Total Ba Nadroga/Navosa Ra Total Count 1,294 19 - 12 19 24 74 4 1 2 - 7 78 113 243 434 346 58 375 779 % 25.7% 0.0% 16.2% 25.7% 32.4% 100.0% 57.1% 14.3% 28.6% 0.0% 100.0% 18.0% 26.0% 56.0% 100.0% 44.4% 7.4% 48.1% 100.0% Count 13,162 95 - 56 62 144 357 67 25 6 - 98 888 793 2,777 4,458 4,125 2,386 1,738 8,249 % 26.6% 0.0% 15.7% 17.4% 40.3% 100.0% 68.4% 25.5% 6.1% 0.0% 100.0% 19.9% 17.8% 62.3% 100.0% 50.0% 28.9% 21.1% 100.0% General Table & Descriptive Analysis Report 254 CHAPTER 6: FORESTRY General Table & Descriptive Analysis Report 255 255 A.
List of Tables No Table No.

Table Name Page No.
6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 Number of Agricultural Household participated in Forest Activity by sex of Household Head Number of Agricultural Household Members who participated in Forest Activities by Sex Total Number of Members Involved in Forest Activities as Primary or Secondary Occupation/Geographical Division/Sex Number of Agricultural Household Members who considered Involvement in Forestry Activity as Primary and Secondary Occupa- tion/Sex Number of Household Members who considered Involvement in Forestry Activity as Primary and Secondary Occupation by Sex/Age Group Number of Household Members who considered Involvement in Forestry Activity as Primary and Secondary Occupation by Forest Tasks/Sex Number of Household Members who considered Involvement in Forest Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Number of Household Members who considered Involvement in Forest Activity as Primary and Secondary Occupation with Mobile Phones by Sex/Age 256 257 258 259 260 262 266 270 B.
List of Figures No.

Figure No.
Name 6.1.1 6.2.1 6.3 6.6.1 6.6.2 6.6.3 6.6.4 Distribution of Households Involved in Forest Activities by Division in Fiji Distribution of Households Members Involved in Forest Activities by Sex Distribution of Households Members Involved in Forest Activities by Sex % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Central Division % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Eastern Division % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Western Division % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Northern Division Page No.
255 257 258 265 265 265 265 General Table & Descriptive Analysis Report 256 C. Tables & Graphs AGRICULTURE HOUSEHOLD PARTICIPATED IN FOREST ACTIVITIES IN THE LAST 12 MONTHS Table 6.1 gives distribution of agricultural households which are involved in forest activities by sex of head of the household.
Figure 6.1.1: Distribution of Households Involved in Forest Activities by Division in Fiji During the reference period of Agricultural Census 2020, a total of 70,991 agricultural households were reported in the country out of which 69,476 households, constituting 97.9% were involved in forestry activities.

The 88.5% of households involved in forestry activities were headed by male whereas 11.5% were headed by female.
As regards to geographical division distribution of forestry households, 25.4% households came from Central division where 87.7% households were headed by male and 12.3% by female.

Eastern division accounted for 8.4% of such households wherein the proportion of male and female headed households stood at 93.4% and 6.6% respectively.

Western division, which accounted for 37.7% forestry households, had 86.4% households headed by male and 13.6% headed by female.
A total of 28.6% forestry households were located in Northern division comprising 90.4% male headed and 9.6% female headed households.

Northern 19833 29% Central 17627 25% Eastern 5853 8% Western 26163 38% General Table & Descriptive Analysis Report 257 257 Table 6.1 Number of Agricultural Household participated in Forest Activity by sex of Household Head.
Female Province Male Female Total Fiji Central Eastern Western Northern Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/ Navosa Ra Total Bua Cakaudrove Macuata Total Count 61,456 4,088 1,046 2,367 1,618 6,340 15,459 1,698 1,640 1,806 324 5,468 12,179 6,958 3,473 22,610 2,690 7,009 8,220 17,919 % 88.5% 89.4% 91.7% 88.2% 86.2% 86.2% 87.7% 97.2% 93.0% 91.5% 88.0% 93.4% 86.3% 86.2% 87.5% 86.4% 93.0% 91.3% 88.8% 90.3% Count 8,020 483 95 317 260 1,013 2,168 49 124 168 44 385 1,940 1,115 498 3,553 202 671 1,041 1,914 % 11.5% 10.6% 8.3% 11.8% 13.8% 13.8% 12.3% 2.8% 7.0% 8.5% 12.0% 6.6% 13.7% 13.8% 12.5% 13.6% 7.0% 8.7% 11.2% 9.7% Count 69,476 4,571 1,141 2,684 1,878 7,353 17,627 1,747 1,764 1,974 368 5,853 14,119 8,073 3,971 26,163 2,892 7,680 9,261 19,833 % 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% B) AGRICULTURAL HOUSEHOLD MEMBERS WHO PARTICIPATED IN FOREST ACTIVITIES IN THE LAST 12 MONTHS Table 6.2 presents distribution by sex of members of agricultural household who participated in forest activities in the last 12 months.
Out of a total of 183,129 members, constituting 60.9% of members of agricultural households, participating in forestry activities, 25.8% came from Central division, 7.5% from Eastern division, 38.1% from Western division and 28.6%from Northern division.

The proportion of male participants was found to be 51.8%, 54.3%, 51.2% and 53.3% in Central, Eastern, Western and Northern divisions respectively whereas proportion of female participants was 48.2%, 45.7%, 48.8% and 46.7% in the divisions in same order.
Source: Ministry of Forestry General Table & Descriptive Analysis Report 258 Table 6.2: Number of Agricultural Household Members who participated in Forest Activities by Sex/ Division/Province.
Division Fiji Central Eastern Western Northern Province Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total Male 95,592 6,133 1,578 3,936 2,599 10,229 24,475 2,362 2,120 2,529 451 7,462 19,708 11,095 4,905 35,708 4,058 11,262 12,627 27,947 Female 87,537 5,568 1,442 3,761 2,475 9,549 22,795 1,857 1,888 2,155 387 6,287 18,760 10,569 4,652 33,981 3,507 9,136 11,831 24,474 Total 183,129 11,701 3,020 7,697 5,074 19,778 47,270 4,219 4,008 4,684 838 13,749 38,468 21,664 9,557 69,689 7,565 20,398 24,458 52,421 Figure 6.2.1: Distribution of Households Members Involved in Forest Activities by Sex Male Female Total Macuata Cakaudrove Bua Total Ra Nadroga/Navosa Ba Total Rotuma Lomaiviti Lau Kadavu Total Tailevu Serua Rewa Namosi Naitasiri Total General Table & Descriptive Analysis Report 259 259 C) AGRICULTURAL HOUSEHOLD MEMBERS WHO INVOLVED IN FORESTRY ACTIVITIES AS PRIMARY AND SECONDARY OCCUPATION IN THE LAST 12 MONTHS Table 6.3 gives geographical distribution of agricultural household members involved in forestry activities as their primary or secondary occupation.
It is interesting to note that out of a total of 183,129 members, who reported their involvement in forestry activities, only 14,094 persons, constituting a small fraction of 7.7%, had forestry as their primary or secondary occupation.

Northern Division had the highest with 47.6%, Central Division with 31.7%, Eastern and Western Division with 13.0% and 7.7% respectively.
Table 6.3 shows the dominance of female participation specifically for those that considered working on forest activities as either their primary or secondary activities in the last 12 months since the agriculture census (10th Feb 2020).

This is mainly seen in Eastern and Western Division of which 84.9% and 66.4% proportion of female involvement compared to Central and Northern Division which recorded 50.5% and 59.

4% involvement of male members.
Table 6.3: Total Number of Members Involved in Forest Activities as Primary or Secondary Occupation/ Geographical Division/Sex Division Central Eastern Western Northern Fiji Sex Male 2,257 278 363 3,982 6,880 Female 2,216 1,557 717 2,724 7,214 Total 4,473 1,835 1,080 6,706 14,094 Figure 6.3: Distribution of Households Members Involved in Forest Activities by Sex Male Female Fiji 48.8% 51.2% Northern 59.4% 40.6% Western 33.6% 66.4% Eastern 15.1% 84.9% Central 50.5% 49.5% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Involved in Forest Activities as Primary and Secondary Occupation Even among such members, a large majority of 82.0% had forestry as secondary occupation and only 18.0% reported forestry as their primary occupation (see Table 6.4).
Further, among members who reported forestry as their primary occupation, only 13.6% were male and 86.4% were female.

Similarly, among secondary occupation members, ratio of male and female stood at 56.5% and 43.5% respectively.
General Table & Descriptive Analysis Report 260 % t n u o C - c e S l a t o T o t % t n u o C l e v e L - a p u c c O y r a d n o e c n i v o r P @ n o i t l e v e L l a t o T o t % y r a d n o c e S n o i t a p u c c O e c n i v o r P @ t n u o C % t n u o C l a t o T o t % t n u o C - i r P l a t o T o t % t n u o C @ n o i t a p u c - @ .

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6 e l b a T Division Fiji Central Eastern Western Northern General Table & Descriptive Analysis Report 261 261 e c n i v o r P / n o i s i v i D / p u o r G e g A / : : 5 .
, 4 1 2 7 , 4 9 0 4 1 , , 2 3 8 1 , 7 5 2 2 , 6 1 2 2 , 3 7 4 4 , 0 3 2 6 6 2 9 6 7 6 1 8 5 4 5 2 6 7 2 9 7 0 0 1 , 4 3 9 1 , , 1 0 5 1 , 9 0 7 2 , 9 5 2 1 , 4 0 5 1 , 3 6 7 2 , 9 6 4 1 , 8 8 6 1 , 7 5 1 3 , 4 8 5 1 , 5 7 2 1 , 9 5 8 2 , - 2 7 3 0 1 7 4 4 1 1 6 5 0 7 1 - 5 5 3 1 6 9 1 l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ General Table & Descriptive Analysis Report 262 e c n i v o r P / n o i s i v i D / p u o r G e g A / w
: : 5 .
6 e l b a T 0 8 0 1 4 0 9 4 1 7 2 8 2 8 7 2 7 5 5 1 , 5 3 8 1 , , 9 0 6 1 , 1 3 1 3 , 7 4 7 1 , 8 7 8 4 , 0 5 9 6 1 1 1 4 7 5 8 - - - , 7 2 4 9 4 - , 5 0 1 5 1 - - - > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ / General Table & Descriptive Analysis Report 263 263 9 1 2 2 8 9 3 , 4 2 7 2 , 6 0 7 6 , 8 3 0 5 4 4 0 3 4 5 7 9 4 2 3 6 7 9 4 9 2 1 1 , 2 5 9 6 6 4 4 5 3 1 2 1 , 1 4 0 9 8 7 5 6 7 4 5 1 , 1 3 0 8 5 9 5 0 1 , 9 3 6 1 , 8 2 8 2 2 4 1 4 2 4 l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x l a t o T e l a M x e S e l a m e F l a t o T l
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g e ( / d o o w e r fi g n i r e h t a G ) c t e , a t O g e ( , s d o o F d l i W , s ft a r c i d n a H g n i l l e S ft ) c t e , y n a g o h a m , d o o w l a d n a s .
g e ( General Table & Descriptive Analysis Report 264 / : 6 .
6 e l b a T 4 8 1 4 2 4 4 , 0 3 6 1 , 5 1 4 6 7 2 0 2 4 3 1 4 , 1 4 1 1 4 9 8 6 8 1 1 1 4 6 3 9 1 0 8 0 2 , 5 3 5 2 4 2 6 7 1 , 2 1 5 1 , 1 1 1 7 1 3 8 2 1 9 3 7 1 , 6 7 4 1 , 8 8 1 7 1 1 2 3 6 1 , 3 6 4 1 , 9 2 5 1 , 8 0 4 6 5 9 3 3 2 7 2 3 4 0 7 6 3 0 1 , 0 7 1 1 9 5 2 5 1 , 6 4 4 1 , 3 9 4 1 , 1 9 3 4 3 2 7 0 2 3 6 1 - 6 8 6 8 5 3 8 1 0 1 3 7 1 2 , 1 5 2 2 , 2 6 7 4 3 2 1 2 9 0 3 0 4 , 4 5 4 1 , 2 1 2 1 6 1 4 1 5 1 2 8 1 , 9 0 2 2 , - - 6 4 1 2 7 1 1 7 1 0 1 4 5 0 2 , 0 6 7 3 , 3 4 7 1 , 7 1 0 2 , , 5 7 0 1 , 5 6 0 1 3 5 0 1 2 8 0 1 , 0 4 0 1 , 7 2 1 6 6 4 9 0 1 , 5 2 0 1 , 3 7 0 1 , 3 4 3 5 1 4 9 9 7 1 3 3 2 2 4 4 1 6 2 1 4 5 7 7 0 1 , 4 2 0 1 , 4 5 0 1 , 5 3 3 3 5 1 4 9 0 6 1 - 3 4 2 2 1 - 5 2 4 0 1 - 2 7 3 1 1 4 4 2 4 2 1 - / d o o w e r fi g n i r e h t a G ) c t e , a t O g e ( , s d o o F d l i W , s ft a r c i d n a H g n i l l e S ft a r c i d n a H r e h t O ) c t e , y n a g o h a m , d o o w l a d n a s .
g e ( / d o o w e r fi g n i r e h t a G ) c t e , a t O g e ( , s d o o F d l i W , s ft a r c i d n a H g n i l l e S ft / d o o w e r fi g n i r e h t a G ) c t e , a t O g e ( ) c t e , y n a g o h a m , d o o w l a d n a s .
g e ( s e e r t g n i t n a l P n r e t s e W General Table & Descriptive Analysis Report 265 265 , 6 3 3 1 , 8 2 2 3 2 8 2 6 6 , 5 9 5 2 , 4 5 1 5 5 6 1 , 5 6 2 6 , 0 4 5 6 0 2 9 4 9 4 1 4 6 6 2 , 8 0 1 1 , 3 3 1 7 6 3 1 , 2 6 5 2 , , 7 8 4 1 , 1 2 8 8 2 3 0 7 3 , , 6 3 0 1 , 7 8 1 9 1 9 0 1 6 , 3 8 4 2 , 1 1 1 6 3 3 1 , 0 8 7 5 , 5 5 4 7 7 1 4 4 0 1 1 9 0 2 2 , 9 1 0 1 , 1 9 9 5 0 1 , 4 2 1 2 , 3 6 3 6 0 1 3 7 1 1 2 5 1 1 2 3 3 5 2 7 5 7 7 5 1 0 0 9 3 , 4 6 4 1 , 0 2 7 7 2 6 5 6 3 , - / d o o w e r fi g n i r e h t a G ) c t e , a t O g e ( , s d o o F d l i W , s ft a r c i d n a H g n i l l e S ft , s d o o F d l i W , s ft a r c i d n a H g n i l l e S ft a r c i d n a H r e h t O ) c t e , y n a g o h a m , d o o w l a d n a s .
g e ( / : 6 .
6 e l b a T General Table & Descriptive Analysis Report 266 Figure 6.6.1: % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Central Division.
Figure 6.6.2: % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Eastern Division Male Female Male Female Other 54.5% 45.5% Other 33.3% 66.7% Handicraft 4.5% Selling Handicrafts, Wild Foods, etc 14.6% Harvesting of Voivoi 16.1% Planting Masi Planting Voivoi Harvesting of Masi 25.0% 25.7% 26.7% 95.5% 85.4% 83.9% 75.0% 74.3% 73.3% Harvesting wild food (eg Ota, etc) Harvesting Wild Plants for Herbal Medicine Gathering firewood/Cutting tree branches 46.7% 49.7% 50.9% Tree nursery work 55.6% 53.3% 50.3% 49.1% 44.4% Harvesting Wild Plants for Herbal Medicine 1.2% Handicraft 2.4% Selling Handicrafts, Wild Foods, etc 4.2% Harvesting of Voivoi 6.6% Harvesting wild food (eg Ota, etc) 9.6% Planting Voivoi 14.2% Gathering firewood/Cutting tree branches 15.1% Harvesting of Masi 22.2% Planting Masi 25.2% Tree nursery work 29.4% 98.8% 97.6% 95.8% 93.4% 90.4% 85.8% 84.9% 77.8% 74.8% 70.6% Planting trees (eg.
sandalwood, mahogany, etc) 78.3% 21.7% Planting trees (eg.
sandalwood, mahogany, etc) 55.3% 44.7% Figure 6.6.3: % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Western Division Figure 6.6.4: % Distribution of members involved in Forest Activities as Primary/Secondary occupation by Sex in Northern Division Male Female Other 60.0% 40.0% Harvesting of Voivoi 4.0% Planting Voivoi 11.2% Selling Handicrafts, Wild Foods, etc 14.7% Harvesting wild food (eg Ota, etc) 17.1% Handicraft 23.8% Harvesting Wild Plants for Herbal Medicine Gathering firewood/Cutting tree branches 33.0% 33.8% 96.0% 88.8% 85.3% 82.9% 76.2% 67.0% 66.2% Planting Masi 50.2% Other Harvesting of Masi 60.0% 65.0% 49.8% 40.0% 35.0% Planting trees (eg.
sandalwood, mahogany, etc) 75.8% 24.2% Male Female Other 22.2% Harvesting of Masi 13.6% Harvesting of Voivoi 17.4% Handicraft 17.6% Planting Voivoi 30.3% Planting Masi Selling Handicrafts, Wild Foods, etc Harvesting wild food (eg Ota, etc) 34.6% 36.4% Harvesting Wild Plants for Herbal Medicine Gathering firewood/Cutting tree branches Planting trees (eg.
sandalwood, mahogany, etc) Tree nursery work 100.0% 0.0% Tree nursery work 77.8% 86.4% 82.6% 82.4% 69.7% 65.4% 63.6% 57.3% 59.1% 59.8% 42.7% 40.9% 40.2% 72.8% 82.6% 27.2% 17.4% General Table & Descriptive Analysis Report 267 267 With Savings Account Table 6.7 below gives information on number of Household Members involved in Forestry Activities as Primary or Secondary Occupation having Savings Account.
The table reveals that 30.3% such members had savings account out of which 62.4% were male and 37.6% female.

Table 6.7: Number of Household Members who considered Involvement in Forest Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Province Age Group Savings Account Fiji Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs Total Central Naitasiri x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.


x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total Namosi x≥10yrs≤19yrs.

Rewa Serua x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total Tailevu x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.
x>39yrs≤49yrs General Table & Descriptive Analysis Report 268 No Female Total Yes Male Female Total 37 490 581 575 535 444 15 283 386 359 315 243 52 773 967 934 850 687 Male 396 1,094 888 684 673 483 2,662 1,601 4,263 4,218 - - - 8 7 12 10 12 49 3 64 72 103 - 4 5 5 6 4 24 - 43 50 58 - 12 12 17 16 16 73 3 107 122 161 2 3 6 4 6 4 25 34 118 137 111 - 25 20 18 28 15 106 10 88 127 136 2 28 26 22 34 19 131 44 206 264 247 Table 6.7: Number of Household Members who considered Involvement in Forest Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Province Age Group Savings Account Yes No Male Female Total Male Female Total Central x>49yrs≤59yrs.
Total x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total Eastern Kadavu x≥10yrs≤19yrs.

Lau x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total Lomaiviti x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total Rotuma x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.


x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.
Total 96 93 431 12 166 204 236 217 200 1,035 - - 2 1 - 1 4 - 1 - 6 4 5 16 - 2 2 4 4 4 16 - - - - - - - - 3 4 11 8 36 38 225 7 124 133 137 110 94 605 - 14 33 31 27 14 - 14 35 32 27 15 119 123 - 6 11 18 16 7 58 - 9 14 11 15 13 62 - 1 2 2 - - 5 - 30 60 62 58 - 7 11 24 20 12 74 - 11 16 15 19 17 78 - 1 2 2 - - 5 - - 4 3 7 4 8 26 13 23 21 28 46 20 151 5 5 14 17 16 7 64 - - 1 - - - 1 18 32 39 52 66 5 66 143 110 130 89 543 6 48 89 75 115 67 400 10 33 75 84 85 61 348 - - - - 4 7 7 5 23 39 179 349 328 403 General Table & Descriptive Analysis Report 269 269 Table 6.7: Number of Household Members who considered Involvement in Forest Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Savings Account Age Group Province Eastern Western Ba Nadroga/ Navosa Ra Total Northern Bua Total x≥10yrs≤19yrs.
x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total Cakaudrove x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.


x>39yrs≤49yrs x>49yrs≤59yrs.
x>59yrs Total General Table & Descriptive Analysis Report 270 Yes Male Female 36 1 11 16 14 10 6 58 - 5 7 15 16 11 54 1 3 6 7 9 5 31 244 - 3 11 8 6 10 38 2 6 9 20 13 1 51 - Total 280 Male 242 No Female 1,313 Total Table 6.7: Number of Household Members who considered Involvement in Forest Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Province Age Group Savings Account Northern Macuata x≥10yrs≤19yrs.
Total x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.

x>59yrs Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs x>49yrs≤59yrs.
x>59yrs Total Yes No Male Female Total Male Female Total 1 6 4 9 10 - 30 23 302 344 292 275 212 1,448 - With Mobile Phones Table 6.8 gives information on number of household members involved in forestry activities as Primary or Secondary Occupation and having mobile phone.
It is seen from the table that out of a total of 14,094 household members involved in forestry activities as primary or secondary occupation, 38.8% (5,469) members had mobile phones.

Out of the members having mobile phones, 64.3% were males and 35.7% were females.

In regards to divisions, 44.0% members in the Central division were having mobile phones out of which 62.5% were males and 37.5% were females.
In Eastern Division, 27.9% members had mobiles with 24.3% and 75.7% being male and females respectively.

In Western division, 40.9% members had mobile with male, female break up at 41.9% and 54.1% respectively.

In Northern Division, the mobile availability was 38.0% with male constituting 77.5% and females 22.5% of such members.
Source: Ministry of Forestry General Table & Descriptive Analysis Report 271 271 6 1 5 3 , 3 5 9 1 , 9 6 4 5 , , 7 3 7 8 6 9 1 , , 1 8 7 3 7 4 4 5 2 1 , 8 7 7 2 7 4 0 5 2 1 , - - 6 9 5 1 - 9 - 5 - 5 3 1 1 1 4 2 1 1 - - - l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ : 8 .
6 e l b a T .

e c n i v o r P / n o i s i v i D / e g A / x e S y b s e n o h P e l i b o M General Table & Descriptive Analysis Report 272 : 8 .
6 e l b a T e c n i v o r P / n o i s i v i D / e g A / x e S y b s e n o h P 7 2 5 8 2 1 1 - - , 5 2 3 3 0 8 1 , 6 4 2 7 3 3 8 2 9 8 1 7 2 - - - - - - - - - 1 1 4 1 5 - 2 2 - - - 4 3 7 2 1 7 9 1 6 2 5 1 3 l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ / General Table & Descriptive Analysis Report 273 273 : 8 .
6 e l b a T 4 3 9 4 3 8 6 7 9 1 , 3 7 5 9 4 5 2 , - 1 1 8 3 3 1 1 5 l a t o T s r y 9 5 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 2 ≤ s r y 9 1 > x s r y 9 1 ≤ s r y 0 1 ≥ x e c n i v o r P / n o i s i v i D / e g A / General Table & Descriptive Analysis Report 274 CHAPTER 7: FISHERIES General Table & Descriptive Analysis Report 275 275 A.
List of Tables No.

Table No.
Table Name 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 Number of Agricultural Household participated in Fishing Activity by Sex of Household Head Number of Agricultural Household Members who participated in Fishing Activities by Sex Total Number of Members Involved in Fishing as Primary or Secondary Occupation/Geographical Division/Sex Number of Agricultural Household Members who considered Fishing as Primary and Secondary Occupation/Sex Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Sex/Age Group Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Forest Tasks/Sex Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Mobile Phones by Sex/Age B.
List of Figures No.

Figure No.
Name 7.1 7.2.1 7.3 7.6.1 7.6.2 7.6.3 7.6.4 Distribution of Households Involved in Fishing Activities by Division in Fiji Distribution of Households Members Participated in Fishing Activities by Sex Distribution of Households Members Involved in Fishing Activities as Primary/ Secondary Occupation by Sex % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Central Division % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Eastern Division % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Western Division % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Northern Division Page No.
275 276 277 278 279 281 283 287 Page No.

275 277 277 282 282 282 282 General Table & Descriptive Analysis Report 276 Source: Women in Fisheries C. Tables & Graphs AGRICULTURAL HOUSEHOLD PARTICIPATED IN FISHING ACTIVITIES IN THE LAST 12 MONTHS Table 7.1 gives distribution of agricultural households which were involved in fishing activities by sex of head of household.
During the reference period of Agricultural Census 2020, a total of 70,991 agricultural households were reported in the country out of which 29,450 households, constituting 41.5%, were involved in fishing activities.

The 89.9% of households involved in fishing activities were headed by male whereas 10.1% were headed by female.

As regards to geographical distribution of fishing households, 36.9% households came from Central division where 88.2% households were headed by male and 11.8% by female.
Eastern division accounted for 19.7% of such households wherein the proportion of male and female headed households stood at 93.6% and 6.4% respectively.

Western division, which accounted for 17.3% of fishing households, had 86.7% households headed by male and 13.3% headed by female.

A total of 26.1% fishing households were located in Northern region comprising 91.7% male headed and 8.3% female headed households.
Figure 7.1: Distribution of Households Involved in Fishing Activities by Division in Fiji Western 5105 17% Eastern 5798 20% Central 10876 37% Northern 7671 26% Table 7.1: Number of Agricultural Household participated in Fishing Activity by Sex of Household Head/ Division/Province Division Province Fiji Central Eastern Northern Western Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Bua Cakaudrove Macuata Total Ba Nadroga/Navosa Ra Total Male Count 26,480 2,521 838 1,468 809 3,955 9,591 1,682 1,630 1,792 323 5,427 1,761 3,640 1,634 7,035 1,227 2,764 436 4,427 % 89.9% 89.9% 91.9% 89.5% 87.1% 86.1% 88.2% 97.3% 93.4% 91.6% 88.0% 93.6% 94.1% 91.9% 88.9% 91.7% 89.0% 86.1% 84.5% 86.7% Female Total Count 2,970 282 74 173 120 636 1,285 47 115 165 44 371 111 321 204 636 152 446 80 678 % 10.1% 10.1% 8.1% 10.5% 12.9% 13.9% 11.8% 2.7% 6.6% 8.4% 12.0% 6.4% 5.9% 8.1% 11.1% 8.3% 11.0% 13.9% 15.5% 13.3% Count 29,450 2,803 912 1,641 929 4,591 10,876 1,729 1,745 1,957 367 5,798 1,872 3,961 1,838 7,671 1,379 3,210 516 5,105 % 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% General Table & Descriptive Analysis Report 277 277 AGRICULTURAL HOUSEHOLD MEMBERS WHO PARTICIPATED IN FISHING ACTIVITIES IN THE LAST 12 MONTHS Table 7.2 presents distribution, by sex of members of agricultural household, who participated in fishing activities during the last 12 months.
Out of a total of 69,711 members, constituting 23.2% of members of agricultural households participating in fishing activities, 39.6% came from Central division, 19.3% from Eastern division, 15.5% from Western division and 25.6% from Northern division.

The proportion of male participants was found to be 51.8%, 54.3%, 56.2% and 55.1% in Central, Eastern, Western and Northern divisions respectively whereas proportion of female participants was 48.2%, 45.7%, 43.8% and 44.9% in the divisions in same order.
Table 7.2: Number of Agricultural Household Members who participated in Fishing Activities by Sex/ Division/Province Division Fiji Central Eastern Western Northern Province Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total Male 37,505 3,517 1,218 2,203 1,196 6,153 14,287 2,324 2,051 2,466 450 7,291 1,383 4,300 408 6,091 2,444 4,908 2,484 9,836 Female 32,206 3,268 1,134 2,075 1,083 5,757 13,317 1,832 1,829 2,097 382 6,140 435 4,025 282 4,742 1,979 3,956 2,072 8,007 Total 69,711 6,785 2,352 4,278 2,279 11,910 27,604 4,156 3,880 4,563 832 13,431 1,818 8,325 690 10,833 4,423 8,864 4,556 17,843 Source: Ministry of Fisheries General Table & Descriptive Analysis Report 278 Figure 7.2.1: Distribution of Households Members Participated in Fishing Activities by Sex Male Female Total Macuata Cakaudrove Bua Total Ra Nadroga/Navosa Ba Total Rotuma Lomaiviti Lau Kadavu Total Tailevu Serua Rewa Namosi Naitasiri Total AGRICULTURAL HOUSEHOLD MEMBERS WHO CONSIDERED FISHING AS PRIMARY AND SECONDARY OCCUPATION IN THE LAST 12 MONTHS This table gives distribution of agricultural household members involved in fishing activities with fishing as primary or secondary occupation.
It is interesting to note that out of a total of 69,711 member who reported their involvement in fishing activities, only 14,094 persons, constituting a small fraction of 6.5%, had fishing as their primary or secondary occupation.

Northern Division had the highest with 44.5%, Central Division with 21.6%, Western and Eastern Division with 17.5% and 16.4% respectively.

Table 7.3 shows the distribution of male and female fishers by Geographical Division.
Figure 7.3: Distribution of Households Members Involved in Fishing Activities as Primary/Secondary Occupation by Sex Table 7.3: Total Number of Members Involved in Fishing as Primary or Secondary Occupation/ Geographical Division/Sex Total Sex Total Male Female Central Eastern Western Northern Fiji 610 373 574 1,450 3,007 367 368 214 557 1,506 977 741 788 2,007 4,513 Male Female Fiji 66.6% 33.4% Northern Western 72.2% 72.8% 27.8% 27.2% Eastern 50.3% 49.7% Central 62.4% 37.6% 0% 20% 40% 60% 80% 100% General Table & Descriptive Analysis Report 279 279 Members Involved in Fishing as Primary and Secondary Occupation by Sex Among 14,094 members, 49.6% had fishing as primary occupation and 50.4% reported fishing as their secondary occupation.
Further, among members who reported fishing as their primary occupation, 64.6% were male and 35.4% female.

Similarly, among secondary occupation members, ratio of male and female members stood at 68.6% and 31.4% respectively.

(See Table 7.4 below).
Table 7.4: Number of Agricultural Household Members who considered Fishing as Primary and Secondary Occupation/Sex Division Province Primary Occupation Secondary Occupation Total Fiji Central Total Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Western Ba Nadroga/ Navosa Ra Total Northern Bua Caka- udrove Macuata Total Male Female Total Male Female Total Male Female Total General Table & Descriptive Analysis Report 280 Table 7.5: : Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Sex/Age Group/Division/Province.
Division Province Sex Fiji Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Western Ba Nadroga/ Navosa Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x s r y 9 5 > x l a t o T 96 25 121 560 237 797 752 381 706 372 1,133 1,078 559 303 862 334 188 522 3,007 1,506 4,513 4 - 4 2 1 3 3 2 5 6 - - 1 12 30 42 27 23 50 28 6 34 4 1 5 32 66 98 30 24 54 32 21 53 3 - - - - - 9 2 - General Table & Descriptive Analysis Report 281 281 Table 7.5 : Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Sex/Age Group Division Province Sex Western Ra Total Northern Bua Total Male Female Total Male Female Total Male Female Total Cakaudrove Male Macuata Total Female Total Male Female Total Male Female Total s r y 9 1 ≤ s r y 0 1 ≥ x 2 4 - 4 15 - 15 20 4 24 18 10 28 7 3 10 45 17 62 s r y 9 2 ≤ s r y 9 1 > x 11 20 11 31 70 23 93 124 54 178 134 55 189 53 5 58 311 114 425 s r y 9 3 ≤ s r y 9 2 > x 33 41 22 63 170 49 219 168 82 250 118 57 175 71 10 81 357
 149 506 s r y 9 4 ≤ s r y 9 3 > x 30 31 21 52 135 52 187 160 75 235 112 57 169 87 9 96 359 141 500 s r y 9 5 ≤ s r y 9 4 > x 33 20 21 41 119 53 172 87 46 133 85 36 121 70 5 75 242 87 329 s r y 9 5 > x l a t o T Source: Women in Fisheries Network General Table & Descriptive Analysis Report 282 Table 7.5 : Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Sex/Age Group Fishing Activities performed by Members who considered Fishing as Primary or Secondary Occupation Table 7.6 provides extent of deployment on different fishing activities of household members who reported fishing as their primary or secondary occupation.
The table reveals that during the Census reference period, 79.7% of such members were involved in Inshore Fishing, 54.0% in Offshore Fishing, 16.9% in Fresh Water Fishing, 8.6% in Making fish products at home for sale (e.g.

smoked fish etc.

), and 7.6% in Selling Fish and other Fish Products.

Only 0.2% of such members were involved in activities other than those described ear- lier.
It may be noted here that the sum total of percentages for different activities exceeds hundred as members often work on more than one activity.
Table 7.6: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Forest Tasks/Sex Primary Occupation Secondary Occupation Total Male Female Total Male Female Total Male Female Total - 171 72 45 2 26 - 99 52 39 2 87 282 63 345 - 270 124 84 4 4 483 217 77 4 4 287 114 137 3 8 770 331 214 7 17 65 21 15 36 69 32 101 n Fishing Tasks o i s i v i D Inshore Fishing Offshore Fishing Fresh Water Fishing i j i F Making fish products at home for sale (e.g.
smoked fish etc.)

Selling Fish and other Fish Products Other Inshore Fishing Offshore Fishing Fresh Water Fishing Making fish products at home for sale (e.g.

smoked fish etc.)

Selling Fish and other Fish Products Other Inshore Fishing Offshore Fishing Fresh Water Fishing Making fish products at home for sale (e.g.

smoked fish etc.)

Selling Fish and other Fish Products Inshore Fishing Offshore Fishing Fresh Water Fishing Making fish products at home for sale (e.g.

smoked fish etc.)
Selling Fish and other Fish Products l a r t n e C n r e t s a E n r e t s e W 221 4 312 145 32 2 48 2 167 169 - 1 28 274 219 18 3 2 262 254 2 253 9 95 17 20 1 4 429 423 2 254 37 369 236 38 4 1 1 2 - 263 295 5 105 2 324 359 1 1 2 368 359 6 358 4 692 718 7 359 25 46 16 62 120 71 73 - - 342 269 51 3 147 38 60 1 1 1 489 307 111 4 2 106 105 4 105 7 52 21 40 - - 157 190 1 - 18 68 50 33 - - General Table & Descriptive Analysis Report 283 283 Table 7.6: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation by Forest Tasks/Sex/Division.
n Fishing Tasks o i s i v i D n r e h t r o N Inshore Fishing Offshore Fishing Fresh Water Fishing Making fish products at home for sale (e.g.

smoked fish etc.)
Selling Fish and other Fish Products Primary Occupation Secondary Occupation Total Male Female Total Male Female Total Male Female Total Figure 7.6.1: % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Central Division Figure 7.6.2: % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Eastern Division Male Female Male Female Fresh Water Fishing 36.0% 64.0% Making fish products at home for sale (e.g.
smoked fish etc.)
0.3% 99.7% Other 50.0% 50.0% Fresh Water Fishing 14.3% 85.7% Making fish products at home for sale 57.1% Inshore Fishing 62.7% Offshore Fishing Selling Fish and other Fish Products 65.6% 68.3% 42.9% 37.3% 34.4% 31.7% Inshore Fishing 46.8% 53.2% Offshore Fishing 50.0% 50.0% Selling Fish and other Fish Products 74.2% 25.8% Figure 7.6.3: % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Western Division Figure 7.6.4: % Distribution of members involved in Fishing as Primary/Secondary occupation by Sex/Activities in Northern Division Male Female Male Female Fresh Water Fishing 45.9% 54.1% Fresh Water Fishing 20.0% 80.0% Selling Fish and other Fish Products 50.0% 50.0% Inshore Fishing 72.6% 27.4% Inshore Fishing 69.9% 30.1% Offshore Fishing 80.8% 19.2% Making fish products at home for sale (e.g.
smoked fish etc.)

75.0% 25.0% Making fish products at home for sale (e.g.

smoked fish etc.)

84.2% Offshore Fishing 87.6% 12.4% Selling Fish and other Fish Products 92.3% 15.8% 7.7% General Table & Descriptive Analysis Report 284 With Savings Account Table 7.7 gives information on number of Household members involved in fishing activities as Primary or Secondary Occupation having savings account.
The table reveals that 36.3% such members had savings account and out of the members who had savings account, 79.3% were male and 20.7% were female.

Table 7.7: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex/Division/Province Division Province Age Group Savings Account Fiji Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Central Naitasiri x≥10yrs≤19yrs.


x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Namosi x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Central Rewa x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Serua x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Tailevu x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.


x>39yrs≤49yrs.
Yes No Male Female Total Male Female Total - 1 2 11 3 5 22 1 6 5 8 13 2 35 - 9 14 18 9 9 59 2 8 12 14 16 6 58 2 15 22 32 - 1 4 2 3 2 12 - - 2 1 3 2 8 - 3 4 5 7 5 24 - - 1 1 3 3 8 1 5 7 17 - 2 6 13 6 7 34 1 6 7 9 16 4 43 - - 7 8 12 6 9 42 1 4 7 12 9 5 38 2 9 7 9 11 5 43 - 5 11 9 8 4 37 - General Table & Descriptive Analysis Report 285 285 Table 7.7: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Province Age Group Savings Account Yes No Male Female Total Male Female Total Central x>49yrs≤59yrs.
x>59yrs.

Total Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Eastern Kadavu x≥10yrs≤19yrs.

Lau x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Lomaiviti x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Rotuma x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.


x>49yrs≤59yrs.

x>59yrs.

Total Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.
General Table & Descriptive Analysis Report - 2 8 7 7 4 28 1 2 10 9 9 3 - 5 13 6 5 3 32 - 3 6 4 5 1 34 19 - 6 9 8 7 - 30 - 1 - - - 1 1 11 27 24 23 - - 1 3 2 - 6 - 1 - - - 1 - 9 20 13 12 - 7 21 13 12 7 60 1 5 16 13 14 4 53 - 6 10 11 9 - 36 - 2 - - - - - - - - 2 1 - 3 4 51 91 70 60 3 45 38 35 29 26 176 7 28 43 47 40 23 188 1 3 3 3 3 - 13 17 111 161 123 105 Table 7.7: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Province Age Group Savings Account Yes No Male Female Total Male Female Total 11 151 3 20 61 62 58 22 39 280 6 24 52 34 27 17 226 160 Eastern Western Ba Nadroga/ Navosa Ra Total Northern Bua x>59yrs.
Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total Cakaudrove x≥10yrs≤19yrs.


x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.
- 3 4 14 8 3 32 - - 3 2 1 3 9 - 2 5 5 7 6 25 - 5 12 21 16 12 66 - 10 18 19 8 5 60 - - 7 10 9 13 8 47 - 2 10 6 10 7 35 - 9 17 16 14 10 66 - General Table & Descriptive Analysis Report 287 287 Total 564 9 35 46 42 37 13 182 57 316 315 309 194 100 3 4 8 5 3 2 25 17 94 120 110 72 34 447 1,291 Table 7.7: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Savings Account by Age-Group/ Sex Division Province Age Group Savings Account Northern Cakaudrove Total 157 39 196 359 205 Yes No Male Female Total Male Female Macuata x≥10yrs≤19yrs.
Total x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.

Total x≥10yrs≤19yrs.

x>19yrs≤29yrs.

x>29yrs≤39yrs.

x>39yrs≤49yrs.

x>49yrs≤59yrs.

x>59yrs.


Total 1 22 33 50 36 16 158 5 89 162 160 120 70 606 - 1 2 4 2 2 11 - Source: Women in Fisheries Network General Table & Descriptive Analysis Report 288 With Mobile Phones Table 7.8 gives information on number of household members involved in fishing activities as Primary or Secondary Occupation and having mobile phone.
It is seen from the table that out of a total of 4,513 household members involved in fishing activities as primary or secondary occupation, 51.7%(2,335) members had mobile phones.

Out of the members having mobile phones, 78.8% were males and 21.2% were females.

For geographical division distribution, 21.6% members in the Central division were having mobile phones out of which 73.7% were males and 26.1% were females.
In Eastern division, 16.4% members had mobiles with 68.3% and 31.7% being males and females respectively.

In Western division, 17.5% members had mobile with male, female break up at 78.4% and 21.6% respectively.

In Northern divisoin, the mobile availability was 44.5% with male constituting 84.7% and females 15.3% of such members.
Table 7.8: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Mobile Phones by Sex/Age Division Province Sex Fiji Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x Total s r y 9 5 > x 29 4 33 236 63 299 469 127 596 485 133 618 399 101 223 66 1,841 494 500 289 2,335 2 - 2 1 - 1 2 1 3 3 3 2 - 2 10 1 11 1 - 1 - - - 1 - 1 1 - 5 5 10 4 1 5 12 6 18 11 - 11 16 4 20 48 16 64 9 11 20 13 2 15 6 - - 4 4 8 2 2 4 13 4 17 10 4 14 25 9 34 54 23 77 10 1 11 16 3 19 4 - 4 - - 36 21 57 33 11 44 77 32 109 74 16 90 162 55 217 382 135 517 60 64 124 86 22 108 48 5 53 6 2 General Table & Descriptive Analysis Report 289 289 Table 7.8: Number of Household Members who considered Involvement in Fishing Activity as Primary and Secondary Occupation with Mobile Phones by Sex/Age Division Province Sex Eastern Total Western Ba Total Male Female Total Male Female Total Nadroga/Navosa Male Ra Total Northern Bua Cakaudrove Macuata Total Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total s r y 9 1 ≤ s r y 0 1 ≥ x s r y 9 2 ≤ s r y 9 1 > x s r y 9 3 ≤ s r y 9 2 > x s r y 9 4 ≤ s r y 9 3 > x s r y 9 5 ≤ s r y 9 4 > x Total s r y 9 5 > x 1 3 - 3 3 - 3 2 - 2 - - - 5 - 5 5 1 6 4 1 5 2 1 3 2 29 14 43 22 6 28 4 - 24
- General Table & Descriptive Analysis Report 290 CHAPTER 8: CLIMATE CHANGE General Table & Descriptive Analysis Report 291 291 A.
List of Tables No.

Table No.

Table Name Page No.
8.1 8.2 8.3 8.4 8.5 8.6 Number of Agricultural Household by Sex/ Understanding of Climate Change/National/Division Number of Agricultural Household by Understanding Climate Change/National/Division/Province Number of Agricultural Household by Sex/ Understanding of Climate Change/National/Division/ Province Number of Agriculture Household who Observed Symptoms of Climate Change on their Farm (last 10 years) Number of Agricultural Household by Type of Natural Disaster and Frequency of Occurrence/National/ Division/Province in the last 10 years Number of Agricultural Household that Adopted Cli- mate resilient practices (last 10 years)/National/Division/ Province 291 291 292 294 297 300 B.
List of Figures No.

Figure No.

Name Page No.
1 2 3 8.4 8.5 8.6 Distribution of Households by Observed Symptoms of Climate Change on Farm at Division Level Distribution of Households by Frequency and Occurrence of Climate Change on Farm at Division Level Distribution of Households by Adopted Climate Change Resilient Practice on Farm at Division Level 296 300 300 General Table & Descriptive Analysis Report 292 C. TABLES AND GRAPHS Status of Understanding Climate Change Table 8.1 gives number of agricultural households by awareness of climate change at Division level.
During the reference period of 2020FAC, 75.2% agricultural households in Fiji reported having awareness about climate change whereas 20.6% reported as being somewhat aware.

Only 4.3% households were found not having awareness about climate change and the remained households had no responds.
Table 8.1: Number of Agricultural Household by Sex/Understanding of Climate Change/National/ Division Division Yes No Male Female Central Eastern Western Northern Fiji 12,483 4,818 16,138 14,295 47,734 1,568 283 2,353 1,438 5,642 Total 14,051 5,101 18,491 15,733 53,376 Male Female Total 412 119 1,195 820 2,546 87 18 242 123 470 499 137 1,437 943 3,016 Some Female 432 56 815 370 Male 2,461 571 4,730 2,675 Total 2,893 627 5,545 3,045 10,437 1,673 12,110 As regards to regional distribution of 70,991 agriculture hosuehold, 77.9% in Central division, 85.5% in Eastern division, 69.1% in Western division and 77.8% households in Northern division were reported to be aware of climate change while 19.3% in Central division, 12.3% in Eastern division, 25.6% in Western division and 17.5% in Northern division were somewhat aware about climate change.
Only a small proportion of 2.8%, 2.3%, 5.4% and 4.7% in Central, Eastern, and Western and Northern division respectively were reported being not aware of climate change.
Table 8.2: Number of Agricultural Household by Understanding Climate Change/National/Division/Province Division Province Total Number of Agricultural Household Yes No Some Fiji Central Eastern Western Northern Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total General Table & Descriptive Analysis Report 293 293 By Sex of Household Head Table 8.3: Number of Agricultural Household by Sex/Understanding of Climate Change/National/Division/Province Sex of House- hold Head Total Number of Agricultural Household Yes No Some Division Province Fiji Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Western Ba Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Nadroga/Navosa Male Female Total General Table & Descriptive Analysis Report - 18 45 6 51 45 7 52
21 163 45 208 412 87 499 18 - Table 8.3: Number of Agricultural Household by Sex/Understanding of Climate Change/National/Division/Province Division Province Western Ra Total Northern Bua Cakaudrove Macuata Total Sex of House- hold Head Total Number of Agricultural Household Yes No Some Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Observed Symptoms of Climate Change Table 8.4 gives information on number of agricultural households which observed symptoms of climate change over a period of last 10 years.
Out of a total of 70,991 agricultural households, 48.9% reported to have observed loss of soil fertility, 49.1% observed decline in crop yield, 33.2% noticed spread of new pest and disease, 27.5% noted increased soil erosion, 28.4% found reduced water quality and supply, 43.3% observed change in cropping season, 66.9% experienced increased weather uncertainty and 59.4% increased drought.
It may be noted that sum total of percentage of agricultural households having observed different symptoms of climate change exceeds hundred as households may have observed more than one symptom.
General Table & Descriptive Analysis Report 295 295 t h g u o r D d e s a e r c n I - - / n o i s i v i D / ) s r a e y 0 1 t s a l ( : 4 .
8 e l b a T 2 7 5 7 3 , 2 8 5 4 , 4 5 1 2 4 , 1 7 0 2 , 2 1 2 3 8 2 2 , 4 8 5 2 5 6 3 6 9 3 1 0 3 0 1 , 9 6 1 1 , 9 1 1 1 , 0 7 1 9 8 2 1 , 9 2 2 3 , 9 4 4 8 7 6 3 , 3 3 0 8 , 2 2 0 1 , 5 5 0 9 , 5 9 1 1 , 7 3 2 3 2 1 , 2 8 8 5 4 7 2 9 y t n i a t 1 6 1 2 4 , 1 3 3 5 , 2 9 4 7 4 , 1 3 8 2 , 7 1 3 8 4 1 3 , 4 8 6 9 5 3 4 7 5 1 2 2 1 8 1 , 7 2 0 2 , 1 3 2 1 , 7 8 1 8 1 4 1 , 8 7 8 3 , 4 1 6 2 9 4 4 , 6 3 4 0 1 , 2 9 3 1 , 8 2 8 1 1 , 4 4 2 1 , 8 3 2 8 2 1 , 3 1 1 1 , 3 6 6 7 1 1 , 0 3 6 7 2 , 3 8 0 3 , 3 1 7 0 3 , 5 3 4 2 , 5 4 2 0 8 6 2 , 0 5 4 8 3 8 8 4 3 1 1 7 9 0 1 , 0 1 2 1 , 8 7 7 6 0 1 4 8 8 5 1 3 9 7 3 2 , 4 9 6 2 , 9 3 1 7 , 7 1 8 6 5 9 7 , 7 9 0 1 , 2 3 9 2 1 1 , 4 8 7 6 4 0 3 8 2 8 0 8 1 , 5 9 0 2 , 7 7 1 0 2 , 2 2 5 1 , 1 6 1 3 8 6 1 , , 3 4 7 1 , 3 5 2 4 , 3 1 5 6 6 7 4 , 0 3 4 8 1 8 4 4 1 8 3 6 2 7 0 4 4 9 3 7 1 , 4 1 1 2 , 8 0 5 9 1 , 3 7 5 1 , 1 7 1 4 4 7 1 , , 5 8 4 1 , 7 3 0 4 , 3 8 4 0 2 5 4 , 0 0 6 8 1 8 1 6 8 4 1 0 1 8 5 1 0 6 2 1 2 , 1 7 2 2 , 1 3 5 3 2 , 4 0 1 2 , 8 0 2 2 1 3 2 , , 0 2 3 2 , 1 4 8 5 , 2 3 6 3 7 4 6 , 1 7 7 0 2 1 9 7 1 3 5 0 3 1 6 5 0 3 4 1 3 , 0 3 4 3 , 0 6 8 4 3 , 3 9 2 5 6 8 2 , 8 5 1 3 , 5 6 5 9 3 4 0 6 5 5 1 7 5 3 1 , 2 1 5 1 , 9 3 6 6 8 5 2 7 4 2 3 7 1 5 2 , 1 4 8 2 , 3 4 9 7 , 7 9 8 0 4 8 8 , 6 1 0 1 , 7 3 3 5 0 1 , 0 5 8 5 5 5 0 9 6 0 4 1 3 , 1 0 3 3 , 7 0 7 4 3 , 7 7 7 2 , 3 7 2 0 5 0 3 , 0 6 5 5 4 5 0 6 0 3 1 8 4 3 1 , 8 7 4 1 , 6 1 7 9 9 5 1 8 5 3 3 4 8 6 2 , 9 1 0 3 , 5 8 0 8 , 2 8 8 7 6 9 8 , 1 2 1 1 , 8 3 9 5 1 1 , S
General Table & Descriptive Analysis Report 296 t h g u o r D d e s a e r c n I - - / n o i s i v i D / ) s r a e y 0 1 t s a l ( : 4 .
8 e l b a T 2 9 8 9 0 1 , 0 9 1 1 , 3 1 1 5 1 8 2 1 9 8 1 8 8 2 3 , 7 7 4 3 , 3 6 0 8 , 4 1 2 1 , 7 7 2 9 , 4 0 0 5 , 6 0 7 0 1 7 5 , 7 9 0 2 , 5 9 2 2 9 3 2 , 4 6 1 5 1 , 5 1 2 2 , 9 7 3 7 1 , 5 2 1 9 8 8 1 , 4 1 0 2 , 7 0 9 3 , 9 8 3 y t n i a t 5 3 1 1 , 1 0 1 6 3 2 1 , 5 5 2 8 2 3 8 2 0 3 2 7 4 7 3 , 7 7 9 3 , 9 0 5 8 , 9 4 3 1 , 8 5 8 9 , 1 9 9 4 , 5 3 7 6 2 7 5 , 3 5 2 2 , 0 1 3 3 6 5 2 , 3 5 7 5 1 , 4 9 3 2 , 7 4 1 8 1 , 5 3 1 0 3 9 1 , 5 6 0 2 , 2 6 4 4 , 4 2 4 8 4 5 2 4 0 9 5 6 2 1 6 1 2 4 1 6 3 1 5 5 5 2 , 1 9 6 2 , 8 9 7 4 , 7 8 6 5 8 4 5 , 6 7 1 3 , 1 1 4 7 8 5 3 , 3 1 7 1 , 4 1 2 7 2 9 1 , 7 8 6 9 , 2 1 3 1 , 9 9 9 0 1 , 6 6 2 1 , 2 8 8 4 3 1 , 0 1 1 3 , 2 7 2 6 7 4 7 2 3 0 5 7 5 9 6 6 0 8 4 4 3 1 , 4 2 4 1 , 1 3 5 3 , 8 9 4 9 2 0 4 , 7 1 2 2 , 7 8 2 4 0 5 2 , 4 7 9 1 5 1 5 2 1 1 , 2 2 7 6 , 6 3 9 8 5 6 7 , 6 6 1 1 , 9 7 5 4 2 1 , 1 5 0 2 , 0 0 2 9 8 3 6 4 5 3 4 0 1 4 4 1 8 7 7 4 1 1 , 5 2 2 1 , 8 1 9 3 , 2 7 5 0 9 4 4 , 7 3 9 1 , 2 7 2 9 0 2 2 , 4 1 3 1 , 7 5 1 1 7 4 1 , 9 6 1 7 , 1 0 0 1 , 0 7 1 8 , 8 6 8 6 6 4 3 9 1 1 2 1 5 8 1 , 9 3 6 0 4 9 7 6 1 9 9 9 9 0 0 1 2 3 0 2 , 1 3 1 2 , 7 0 5 3 , 5 8 4 2 9 9 3 , 9 3 2 2 , 8 9 2 7 3 5 2 , 9 1 5 1 , 8 7 1 7 9 6 1 , 5 6 2 7 , 1 6 9 6 2 2 8 , 4 3 9 8 6 2 0 0 1 , 6 4 4 2 , 8 4 2 9 6 9 8 7 7 4 0 1 , 8 0 1 3 1 1 2 1 3 8 1 3 4 9 2 , 6 2 1 3 , 5 7 5 5 , 3 6 7 8 3 3 6 , 5 3 4 3 , 2 6 4 7 9 8 3 , 0 4 8 1 , 5 0 2 5 4 0 2 , 0 5 8 0 1 , 0 3 4 1 , 0 8 2 2 1 , 0 1 1 5 1 7 1 , 5 2 8 1 , 8 1 8 3 , 1 5 3 4 4 8 4 7 8 1 9 1 6 6 7 6 4 7 1 4 8 8 2 , 8 5 0 3 , 7 2 5 5 , 1 4 7 8 6 2 6 , 5 9 3 3 , 5 1 4 0 1 8 3 , 1 4 6 1 , 6 7 1 7 1 8 1 , 3 6 5 0 1 , 2 3 3 1 , 5 9 8 1 1 , 5 1 1 1 1 7 1 , 6 2 8 1 , 0 9 8 3 , / a g o r d a N a s o v a N a R l a t o T a u B n r
General Table & Descriptive Analysis Report 297 297 6 9 2 4 , 1 9 2 5 , 2 4 6 3 3 9 5 , 7 8 0 1 1 , 6 5 1 1 , 3 4 2 2 1 , t h g u o r D d e s a e r c n I d e s a e r c n I - ) s r a e y 0 1 t s a l ( : 4 .
8 e l b a T y t n i a t 6 8 8 4 , 3 3 8 5 , 6 5 7 9 8 5 6 , 5 2 2 2 1 , 5 1 3 1 , 0 4 5 3 1 , 2 8 3 3 , 3 7 8 3 , 4 6 4 7 3 3 4 , 9 4 2 8 , 8 1 8 7 6 0 9 , 1 5 2 2 , 6 4 5 2 , 7 8 2 3 3 8 2 , 3 6 7 5 , 6 6 5 9 2 3 6 , 2 6 0 2 , 2 2 3 2 , 5 7 2 7 9 5 2 , 1 4 0 5 , 2 5 5 3 9 5 5 , 4 9 6 2 , 2 4 7 2 , 3 6 2 5 0 0 3 , 2 2 1 6 , 9 7 5 1 0 7 6 , 9 6 1 4 , 1 6 1 4 , 9 5 4 0 2 6 4 , 4 9 6 9 , 0 2 9 1 6 2 4 , 3 7 2 4 , 7 2 4 0 0 7 4 , 4 7 8 9 , 3 1 9 4 1 6 0 1 , 7 8 7 0 1 , - : 4 .
8 e r u g i F General Table & Descriptive Analysis Report 298 , 0 0 0 5 4 , 0 0 0 0 4 , 0 0 0 5 3 , 0 0 0 0 3 , 0 0 0 5 2 , 0 0 0 0 2 , 0 0 0 5 1 , 0 0 0 0 1 , 0 0 0 5 , 0 Frequency of Experiencing Natural Disasters Table 8.5 presents information on frequency of experiencing natural disasters by agricultural household by type of natural disaster during last 10 years.
The proportion of agricultural households which experienced Once or twice Waterlogging stood at 4.0%, Salt water intrusion at 1.2%, Bush Fire at 3.1%, Pest and Disease at 1.6% and others at 0.2%.
The proportion of agricultural households which experienced these natural disasters once or twice most months, in the same order, stood at 1.2%, 0.6%, 1.7%, 0.1%, 2.7% and 0.1% while the proportion of households which experience these disasters once or twice most years stood at 3.6%, 1.2%, 3.9%, 1.5%, 7.3% and 0.4%.
It may be noted that sum total of percentage of agricultural households having experienced natural disasters at a certain frequence may exceeds hundred as households may have experienced more than one natural disaster.
Table 8.5: Number of Agricultural Household by Type of Natural Disaster and Frequency of Occurrence/National/Division/Province in the last 10 years Division Province Type of Natural Disaster Once or twice Once or twice most months Once or twice most years Fiji Total Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Central Naitasiri Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Namosi Rewa Serua Tailevu 2,833 836 2,191 1,106 6,240 124 331 3 213 14 939 67 46 6 33 - - 7 - 3 1 115 168 73 - General Table & Descriptive Analysis Report 299 299 Table 8.5: Number of Agricultural Household by Type of Natural Disaster and Frequency of Occurrence/National/Division/Province in the last 10 years Division Province Type of Natural Disaster Once or twice Once or twice most months Once or twice most years Central Tailevu Pest and Disease Total Eastern Kadavu Lau Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Lomaiviti Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Rotuma Waterlogging Total Western Ba Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion
 Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease General Table & Descriptive Analysis Report 300 455 8 1,089 373 648 135 1,833 93 1 31 68 9 86 2 15 15 38 32 141 - 33 79 143 50 334 - - - 1 - 10 - 49 125 250 91 571 2 356 86 411 437 702 289 6 656 331 404 4 876 65 - 4 19 - 21 1 1 45 95 9 82 - - - 10 1 22 - - 1 6 - - - 4 - 46 5 32 57 266 132 551 8 439 181 510 488 811 Table 8.5: Number of Agricultural Household by Type of Natural Disaster and Frequency of Occurrence/National/Division/Province in the last 10 years Division Province Type of Natural Disaster Once or twice Once or twice most months Once or twice most years Western Ba Others Nadroga/Navosa Waterlogging Ra Total Northern Bua Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Cakaudrove Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Macuata Waterlogging Total Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others Waterlogging Salt water intrusion Lack of Fresh Water Bush Fire Pest and Disease Others - General Table & Descriptive
204 844 112 1,330 14 General Table & Descriptive Analysis Report 301 301 Figure 8.5: Distribution of Households by Frequency and Occurrence of Climate Change on Farm at Division Level Once or twice (last 10 years) Once or twice most years Once or twice most months 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0 Fiji Central Eastern Western Northern Adopted Climate Change Resilient Practices Table 8.6 provides information on number of agricultural households that adopted various climate resilient practices to mitigate the impact of climate change during last 10 years.
Out of a total of 70,991 agricultural households, 3.0% adopted Agroforestry, 3.9% began planting climate resilient crop varieties, 1.0% raised Climate resilient livestock breeds, 3.2% used recommended agriculture inputs, 20.8% adopted Crop rotation, 0.9% took Planting of mucuna cover (nitrogen fixing) crops, 6.1% started Contour Farming and 1.6% adopted Waste Product Management practices.
It may be noted that sum total of percentage of agricultural households having adopted climate change practices may exceeds hundred as households may have adopted more than one resilient practice.
Figure 8.6: Distribution of Households by Adopted Climate Change Resilient Practice on Farm at Division Level Central Eastern Western Northern 6,000 5,000 4,000 3,000 2,000 1,000 0 Crop rotation Contour Farming Planting climate resilient crop varieties Use of recommended agriculture inputs Agroforestry Waste Product Management Climate resilient livestock breeds Planting of mucuna cover (nitrogen fixing) crops General Table & Descriptive Analysis Report 302 , 5 9 0 2 1 1 , 3 5 0 4 , 9 8 2 2 4 3 4 , - 2 7 - , 7 8 9 5 2 1 , 2 4 2 4 4 3 7 2 ) g n i x fi n e g o r t i n ( - - - 2 - 2 1 - 1 8 3 6 4 4 9 0 1 7 1 6 2 1 1 - 1 - - n o i t 5 4 5 3 1 , 2 5 2 1 , 7 9 7 4 1 , 1 3 6 1 , 0 6 1 1 9 7 1 , 6 6 2 6 1 2 8 2 9 8 4 0 5 9 3 5 6 8 2 0 2 6 0 3 2 0 5 1 , 2 4 1 4 4 6 1 , 4 7 1 4 , 2 6 5 4 , 8 8 3 8 6 4 7 1 5 8 4 8 6 3 4 1 f o g n i t n a l P - a t o r p o r C - , 6 7 1 6 8 2 2 , - 9 1 6 - e t a m i l C t n e i l i s e r t n e i l i s e r e t a m - - 8 3 0 1 0 1 - 1 - 1 0 2 - 0 2 2 2 1 6 8 2 1 1 9 1 7 9 1 6 2 - 2 0 1 - 9 0 5 2 , 2 4 2 1 5 7 2 , - 8 6 4 7 4 y r t s e d l o h e s u o H - , 5 4 1 4 0 1 2 , - 7 2 4 - m
/ n o i s i v i D / l a n o i t a N / ) s r a e y 0 1 t s a l ( : 6 .
8 e l b a T General Table & Descriptive Analysis Report 303 303 - 7 1 - 1 7 1 - - , 7 9 5 2 2 1 , 8 5 3 2 2 0 8 3 7 0 7 ) g n i x fi n e g o r t i n ( r e v o c a n u c u m s p o r c 1 5 1 2 5 - - - - 2 5 1 3 5 5 1 3 8 1 3 2 6 9 2 7 - , 1 6 0 8 4 1 , 3 6 7 1 , 6 8 9 1 , 3 2 2 2 5 9 5 2 1 7 7 0 1 , 2 4 7 3 7 5 1 8 7 5 4 3 , 1 2 4 8 7 8 3 , 7 0 7 6 4 3 5 7 2 8 0 2 , f o g n i t n a l P - a t o r p o r C - - 4 1 1 - 1 0 4 - - - 6 1 - 1 9 1 - - - - - - / / n o i s i v i D / l a n o i t a N / ) s r a e y 0 1 t s a l ( H
: 6 .
8 e l b a T General Table & Descriptive Analysis Report 304 , 5 9 3 8 4 1 , ) g n i x fi n e g o r t i n ( , 6 0 7 1 , 6 8 1 2 9 8 1 , 5 9 4 4 , 7 7 8 4 , 2 8 3 0 5 1 f o g n i t n a l P - a t o r p o r C - - - , / n o i s i v i D / l a n o i t a N / ) s r a e y 0 1 t s a l ( : 6 .
8 e l b a T General Table & Descriptive Analysis Report 305 305 CHAPTER 9: FARM EQUIPMENT General Table & Descriptive Analysis Report 306 A.

List of Tables No.

Table No.


Table Name 1 2 3 4 9.1 9.2 9.3 9.4 Number of Agriculture Household that used Machineries in the last 12 months Number of Household that Owns Hand Tools/National/Division/Sex of Household Head Number of Agricultural Household that used Small Machineries by Status and Sex of Ownership/Nationa/Division Number of Agricultural Household that used Heavy Machineries by Status and Sex of Ownership/National/Division B.

List of Figures No.

Figure No.


Name 1 2 9.1.1 9.1.2 Distribution of Household that used Small Machineries (last 12 months) by Division Distribution of Household that used Heavy Machineries (last 12 months) by Division Page No.

306 307 309 310 Page No.

306 306 General Table & Descriptive Analysis Report 307 307 C. Tables & Graphs USE OF MACHINERIES Table 9.1 presents information on number of agricultural households those used machinery in the last 12 months.
It can be seen from the table that during Agriculture Census reference period in Fiji, 14.2% of agricultural households used machinery out of which 10.4% were small machinery users whereas 3.8% used heavy machinery.

As regards to divisions, the users of small machinery against the 70,991 agriculture households in Central, Eastern, Western and Northern divi- sions were 6.20%, 5.76%, 7.33% and 19.51% respectively.
The proportions of users of heavy machinery in the regions were reported at 2.48%, 0.22%, 4.88% and 4.48% in the same order.
Figure 9.1.1 and Figure 9.1.2 shows the distribution of 7,369 and 2,673 households that used small and heavy machineries respectively at Division level Table 9.1: Number of Agriculture Household that used Machineries in the last 12 months/Division/Province Division FIJI Central Eastern Western Northern Province Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total Small Machineries Heavy Machineries 7,369 483 40 100 95 399 1,117 91 75 89 89 344 1,080 559 324 1,963 636 1,031 2,278 3,945 2,673 143 13 14 63 215 448 - 3 10 - 13 699 561 46 1,306 22 39 845 906 Note: Sum of number of Household using different type of machinery may not add to Total Number of HH as some HH may be using more than one type of Machineries Figure 9.1.1: Distribution of Household that used Small Machineries (last 12 months) by Division Figure 9.1.2: Distribution of Household that used Heavy Machineries (last 12 months) by Division Eastern 344 5% Central 1117 15% Western 1963 27% Northern 3945 53% General Table & Descriptive Analysis Report 308 Eastern 13 0% Central 448 17% Northern 906 34% Western 1306 49% OWNERSHIP OF HAND TOOLS Table 9.2 gives information on Number of Households those Owned Hand Tools during agriculture Census reference period in Fiji.
It is reported that during reference period, 95.0% of agricultural households owned Cane Knife, 74.5% owned Fork, 61.7% owned Spade, 23.5% owned Hoe, 23.0% owned Post Hole Spade, 31.2% owned Axe, 19.5% owned Wheel Barrow, 27.2% owned Hand Operated Sprayer, 4.2% Water tank for irrigation / stock watering, 0.2% owned Apiculture hand tools (e.g., smoker, suit, comb, etc), 0.5% owned Hand operated poultry equipment (e.g., feeders, drinkers etc), 40.5% owned Rake and 22.2% owned Hose pipe.
Only a small proportion of 0.9% owned hand toll other than those mentioned here.
Table 9.2: Number of Household that Owns Hand Tools/National/Division/Sex of Household Head/ Division Division Hand Tools Sex of Household Head FIJI Cane Knife Fork Spade Hoe Post Hole Spade Axe Wheel Barrow Hand Operated Sprayer Water tank for irrigation or stock watering Apiculture hand tools (e.g., smoker, suit, comb, etc) Hand operated poultry equipment (e.g., feeders, drinkers etc) Rake Hose Pipe Others Central Cane Knife Fork Spade Hoe Post Hole Spade Axe Wheel Barrow Hand Operated Sprayer Water tank for irrigation or stock watering Apiculture hand tools (e.g., smoker, suit, comb, etc) Hand operated poultry equipment (e.g., feeders, drinkers etc) Rake Hose Pipe Others Eastern Cane Knife Fork Spade Hoe Post Hole Spade Axe Wheel Barrow Male Female Total General Table & Descriptive Analysis Report 309 309 Table 9.2: Number of Household that Owns Hand Tools/National/Division/Sex of Household Head Division Hand Tools Sex of Household Head Eastern Hand Operated Sprayer Water tank for irrigation or stock watering Apiculture hand tools (e.g., smoker, suit, comb, etc) Hand operated poultry equipment (e.g., feeders, drinkers etc) Rake Hose Pipe Others Western Cane Knife Fork Spade Hoe Post Hole Spade Axe Wheel Barrow Hand Operated Sprayer Water tank for irrigation or stock watering Apiculture hand tools (e.g., smoker, suit, comb, etc) Hand operated poultry equipment (e.g., feeders, drinkers etc) Rake Hose Pipe Others Northern Cane Knife Fork Spade Hoe Post Hole Spade
 Axe Wheel Barrow Hand Operated Sprayer Water tank for irrigation or stock watering Apiculture hand tools (e.g., smoker, suit, comb, etc) Hand operated poultry equipment (e.g., feeders, drinkers etc) Rake Hose Pipe Others Male Female 15 - - - Total General Table & Descriptive Analysis Report 310 OWNERSHIP OF SMALL MACHINERIES Table 9.3 gives information on number of agricultural households that used small machineries by status and sex of ownership.
Only a very small fraction of agricultural households have been reported using small machines, Only 0.1% of agricultural households were reported used mist blower, 4.5% used chainsaw, 0.3% irrigation water pump, 0.2% roto-tiller, 1.1% tractor implements, 0.3% used hand tractor, 0.3% electric and diesel generator, 0.04% used power tiller, 0.05% used honey extractor, 6.8% brush cutter and 0.03% used other small machines.

However, most of the users were found to be owners.
The proportions of owners among users were reported at 95.6%, 96.9%, 94.6%, 96.4%, 85.0%, 79.5%, 98.2%, 88.0%, 83.3%, 97.9% and 94.7% in the same order.

The proportion of female owners of these small machines was reported to be 0.001%, 3.0%, 3.4%, 5.6%, 5.0%, 4.8%, 5.4%, 4.6%, 10.0%, 4.4% and 16.7% in the same order.
(Refer to Volume 3 Gender Analysis Report for further detailed findings) Table 9.3: Number of Agricultural Household that used Small Machineries by Status and Sex of Ownership/National/Division Division Type of Small Machineries FIJI Mist blower Chainsaw Irrigation water pump Roto-tiller Tractor implements Hand tractor Electric and diesel generator Power tiller Honey Extractor Brush Cutter Other Central Mist blower Chainsaw Irrigation water pump Roto-tiller Tractor implements Hand tractor Electric and diesel generator Honey Extractor Brush Cutter Other Eastern Chainsaw Roto-tiller Tractor implements Electric and diesel generator Brush Cutter Western Mistblower Chainsaw Irrigation water pump Number of Household that used Small machinery Hire Borrow Shared Own Sex of Owner Male Female 68 3,437 186 112 753 239 228 25 36 - 13 1 1 86 33 - - 1 1 55 3 1 17 11 1 3 3 2 39 6 2 10 5 3 - - 3 - 1 49 10 - - - 1 - - - - - - 3 1 - - 9 - - - 2 - - 3 - 1 - - - 4 - 16 2 - 2 6 1 2 3 3 - 1 7 - 3 - - 1 6 - - 101 6 6 32 9 12 1 3 207 3 - 18 1 3 1 1 2 - 38 2 4 - - - 9 - 39 3 General Table & Descriptive Analysis Report 311 311 Table 9.3: Number of Agricultural Household that used Small Machineries by Status and Sex of Ownership/National/Division Division Type of Small Machineries Western Roto-tiller Tractor implements Hand tractor Electric and diesel generator Power tiller Honey Extractor Brush Cutter Other Northern Mist blower Chainsaw Irrigation water pump Roto-tiller Tractor implements Hand tractor Electric and diesel generator Power tiller Honey Extractor Brush Cutter Other Number of Household that used Small machinery Hire Borrow Shared Own Sex of Owner Male Female 53 421 154 51 9 11 1,191 6 9 1,852 18 23 224 44 117 11 21 2,751 3 - 34 20 - - - 7 - - 7 - -
 3 3 - - 1 4 - - 8 6 1 - 2 16 - 1 29 1 1 9 3 - 3 1 31 - - 6 - - - - 5 - - 53 373 128 50 9 9 51 353 122 48 9 6 1,163 1,105 6 8 5 8 24 1,792 1,754 - - 1 2 2 - 1 17 22 211 36 115 8 18 16 21 201 35 109 8 18 2 21 7 3 - 3 60 1 - 40 2 1 10 1 7 - - 17 - 2,699 2,603 3 3 100 - OWNERSHIP OF HEAVY MACHINERIES Table 9.4 presents information on number of agricultural households that used heavy machine by status and sex of ownership during agricultural census reference period in the country.
Like in the case of small machinery, heavy machine-using agricultural households have been found to form only a very small proportion.

It has been reported that in Fiji, 3.2% agricultural households used tractor, 0.2% used digger, 0.4% used pick-up truck and 0.05% used rice harvester .Most of the users, however, were found to be owners.

Out of the user household, the proportion of households owning these machines stood at 58.5%, 33.9%, 51.3%, 17.1% and 4.1% respectively.
The proportions of female owners among users were reported at 58.5% for tractors, 2.4% for diggers and 2.2% for pickup trucks.

For rice harvester no female ownership was reported.
Table 9.4: Number of Agricultural Household that used Heavy Machineries by Status and Sex of Ownership/National/Division Division Type of Heavy Machineries Fiji Total Tractor Number of Farms using heavy machin- ery 2,285 Central Digger Pick Up Truck Rice Harvester Tractor Digger Pick Up Truck Rice Harvester 121 271 35 380 74 15 4 Hire Borrow Shared Own Sex of Owner Male Female 816 73 119 25 264 57 1 3 77 56 1,336 1,265 74 4 5 1 3 4 - - 3 8 3 3 2 1 1 41 139 6 110 11 13 - 40 136 6 106 11 13 - 1 3 - 4 - - - General Table & Descriptive Analysis Report 312 Table 9.4: Number of Agricultural Household that used Heavy Machineries by Status and Sex of Ownership/National/Division Division Type of Heavy Machineries Number of Farms using heavy machin- ery Hire Borrow Shared Own Sex of Owner Male Female Eastern Western Tractor Digger Tractor Digger Pick Up Truck Rice Harvester Northern Tractor Digger Pick Up Truck Rice Harvester 2 1 1,125 21 86 5 778 25 170 26 - - 358 9 15 4 194 7 103 18 - - 53 - 4 - 21 - 1 1 - - 31 1 6 1 22 - 1 1 2 1 2 1 683 647 11 61 - 11 59 - 541 510 18 65 6 17 64 6 - - 38 - 2 - 32 1 1 - General Table & Descriptive Analysis Report 313 313 CHAPTER 10: AGRICULTURE SERVICES General Table & Descriptive Analysis Report 314 A.
List of Tables No.

Table No.
Table No.

Table Name 1 2 3 4 10.1 10.2 10.3 10.4 Number of Agricultural Household that took Agricultural Loan by Sex of Responsible Household Member Number of Agricultural Household by Purpose of Loan/National/Division/Sex of Household Head Number of Farming Household by method of accessing Agriculture Services/ National/Division/Province during last 12 months Number of Agriculture Household by Main Mode of Transport from Farm to Market/National/Division/Province/Sex of Household Head B.
List of Figures No.

Figure No.

Name 1 2 3 10.1 10.3 10.4 % Distribution of Sex of Agriculture Household Members that took Agriculture Loan in the last 12 months Distribution Number of Agriculture Household by different method of accessing Agriculture Services at Division level Distribution Number of Agriculture Household by Main Mode of Transport to Market at Division level Page No.

314 316 317 320 Page No.


315 319 323 General Table & Descriptive Analysis Report 315 315 ACCESSIBILITY TO FINANCE Table 10.1 presents information on number of agricultural households in Fiji that took agricultural loan / credit during last 12 months.

It can be seen from the table that during Agriculture Census reference period, out of 70,991 agricultural households in Fiji, only 1,514 households, constituting 2.1% took agricultural loan.
Out of the household members who took agricultural loan, only 12.7% were females and remaining 87.3% household members were males.

The pattern in the regions was more or less similar.

The proportion of agriculture households availing agricultural credit in Central, Eastern, Western and Northern regions was reported at 1.36%, 0.13%, 1.99% and 3.60% respectively.
The proportion of female household members was reported to be 18.0%, 12.5%, 14.4% and 11.8% among agricultural credit availing household members in the divisions in the same order.
Table 10.1: Number of Agricultural Household that took Agricultural Loan by Sex of Responsible Household Member/Division/Province Division Province Total Number of Agricultural Household that took Agricultural loan/credit Sex of Household Member that took Loan FIJI Central Eastern Western Northern Total Naitasiri Namosi Rewa Serua Tailevu Total Kadavu Lau Lomaiviti Rotuma Total Ba Nadroga/Navosa Ra Total Bua Cakaudrove Macuata Total 1,514 70 19 17 13 126 245 - 3 5 - 8 379 99 55 533 86 194 448 728 Male 1,322 60 8 17 9 107 201 - 2 5 - 7 334 89 49 472 76 164 402 642 Female 192 10 11 - 4 19 44 - 1 - - 1 45 10 6 61 10 30 46 86 General Table & Descriptive Analysis Report 316 Figure 10.1: % Distribution of Sex of Agricultural Household Members that took Agricultural Loan in the last 12 months Total Macuata Cakaudrove Bua Total Ra Nadroga/Navosa Ba Total Lomaiviti Lau Total Tailevu Serua Rewa Namosi Naitasiri Total Male Female Purpose of Acquiring Agricultural Loan Table 10.2 presents distribution of farming households which took loan/credit by purpose of loan.
The table reveals that 34.0% of agricultural households took loan for farm land purchase, 16.8% for planting materials/ new varieties of crops, 3.6% for replacement stock, 15.5% for purchase of fertilizer/ chemicals, 20.3% for purchasing tools / machinery, 9.9% for constructing farm buildings (animal housing/ storage/ nursery/processing facility), 9.1% for purchase/repair of farm vehicles, 15.9% for land clearing / preparation, 0.5% for forestry and 17.5% for other purposes.
General Table & Descriptive Analysis Report 317 317 Others 3 4 2 2 2 3 3 3 2 - 5 1 1 5 1 3 9 4 Forestry 7 1 1 - - - 1 - 5 1 Fisheries 1 3 - 5 - 1 - 4 - - 1 2 preparation Land clearing or 4 2 2 7 1 7 5 3 1 - 0 0 1 0 1 6 6 4 Farm vehicles Purchase/Repair 8 2 1 9 8 - - - 4 5 6 6 6 3 9 3 1 1 1 6 2 4 - - 1 5 4 2 6 3 facility) nursery/processing housing/ storage/ buildings (animal Construct farm machinery Purchase tools or 8 8 2 0 2 7 6 4 5 - 2 8 8 8 4 3 1 chemicals Purchase fertilizer/ 3 2 2 1 1 8 7 4 3 - 4 8 5 8 5 2 Replacement stock 2 5 2 7 1 - - - 8 1 2 7 1 - crops als/ new varieties of Planting materi- Farm land purchase 8 3 2 7 1 6 6 4 1 - 0 6 7 6 1 1 1 5 9 4 0 2 7 6 4 1 - 3 6 1 0 1 4 6 2 6 credit which took loan/ Farming Household Total Number of 5 2 4 1 , 9 8 0 3 2 5 1 8 - 9 8 4 4 4 8 9 6 0 3 Household Sex of Head of e l a m e F e l a M Division / n o i s i v i D / l a n o i t a N / : 2 .
0 1 e l b a T d e d a e h e l a m ) .

% 4 6 9 ( 6 4 5 2 6 , f o 2 5 6 0 6 , t a h t s l a e v e r e l b a t e Th .

 .
ff i d s s o r c a s m r a F f o r e b m u n f o m u S : General Table & Descriptive Analysis Report 318 % 8 9 1 .
, .

 ) .

, % 9 1 9 ( 5 4 4 8 f o 4 6 7 7 d n a , l s d o h e s u o h g n m r a f i % 3 2 1 .

, g n i t e e m t c i r t s i d / l a i c n i v o r p h g u o r h t % 3 5 1 .

, m a r g o r p V T h g u o r h t % 3 1 3 .

, m a r g o r p o i d a r h g u o r h t % 7 3 5 .


, p o h s k r o w i / g n n i a r t h g u o r h t % 1 4 .

, - t n e c r e p e Th .

s e c r u o s r e h t o h g u o r h t .

% 0 2 d n a a i d e m l a i c o s h g u o r h t % 3 4 1 .

, s r e m r a f r e h t o / s g n i t e e m r e m r a f , s y a d d l e fi h g u o r h t % 5 6 .

, s w o h s d a o r h g u o r h t % 4 5 .

, s w o h s e r u t l u c i r g a h g u o r h t .


r e d r o e m a s e h t n i .

% 9 4 2 d n a % 0 5 .

, % 5 3 .

, % 1 1 1 .

, % 8 9 .

, % 7 8 2 .

, % 6 2 5 .

, % 8 2 .

, .

% Table 10.3: Number of Farming Household by method of accessing Agricultural Services/National/Division/ Province during last 12 months.
- i r g A - e s u o H f o r e b m u N / / / Male 60,652 12,425 2,591 32,685 19,172 9,732 7,516 3,391 4,072 18,686 8,635 1,088 Female 7,764 1,103 219 4,086 2,226 760 863 274 390 1,933 1,126 267 Total l a r t n e C a w e R a u r e S u v e l i a T i Male r i s a t i a N Female Total i Male s o m a N Total Female Male Female Total Male Female Total Male Female Total Male Female l a t o T Total u Male v a d a K u a L Female Total Male Female Total i Male t i v i a m o L Female Total a Male m u t o R Total Female n r e t s a E n r e t s e W 72
123 4 53 4 57 40 4 44 26 2 28 162 26 188 559 72 631 164 3 18 - 18 58 3 61 2 - - 2 8 5 13 7 4 11 - 1 1 17 10 27 2,891 1,766 400 320 3,291 2,086 333 55 388 5,186 3,343 2,176 170 127 167 l a t o T Male Female Total Male Female a B Total General Table & Descriptive Analysis Report 319 319 Table 10.3: Number of Farming Household by method of accessing Agricultural Services/National/Division/ Province during last 12 months.
- i r g A - e s u o H f o r e b m u N / 6,810 1,060 7,870 1,045 130 3,762 2,090 126 9 539 266 1,171 139 4,301 2,356 Female a Male s o v a N / a g o r d a N Total Male a R Female Total 3,421 492 3,913 585 71 656 58 4 62 1,840 239 2,079 879 106 985 l Male 22,029 3,231 788 11,956 7,277 s w o h s e r u t l u c i r g A 805 132 937 235 43 278 g n i t e e M t c i r t - s i D / l a i c n i v o r P 650 66 716 1,031 98 1,129 2,968 298 / 274 17 291 438 43 481 1,928 1,219 234 201 2,162 1,420 61 8 69 59 7 66 984 125 1,109 283 38 321 a t o T a u B Female Total Male Female Total n r e h t r o N Female e Male v o r d u a k a C Total a Male t a u c a Female M Total l Male a t o T Female Total Note: Sum of number of Households across different service categories may not tally with Total Number of Household which accessed services as some households might have accessed services through more
 than one method General Table & Descriptive Analysis Report 320 Source: AMA Figure 10.3: Distribution Number of Agricutlural Household by different method of accessing Agricultural Services at Division level.
ACCESSIBILITY TO MARKET Table 10.4 gives number of Agricultural household by main mode of transport from farm to market during last 12 months.

The table reveals that 28,899 of 62,546 (46.2%) male headed farming households and 2,134 of 8,445 (25.3%) female headed households had accessed to market.
Out of the farming households that accessed markets, 15.1% accessed it by Driving either a 4wd/truck or Car, 12.2% had to walk to the market, 5.3% by Canoe/small boat, 2.7%% by Martime vessels, 0.1% by Horse, 28.5% by bus, 32.0% by Carrier and 3.1% by other means.
General Table & Descriptive Analysis Report 321 321 / - 1 4 1 5 4 1 4 9 - 9 2 8 8 0 9 5 3 3 0 2 5 5 3 6 3 2 9 , 5 9 6 1 3 9 9 , 3 9 9 1 , 7 5 1 2 , 4 6 1 7 3 4 4 3 1 7 4 2 5 2 4 5 6 3 1 3 1 9 4 1 1 7 6 1 , 3 2 1 4 9 7 1 , 9 8 2 4 , 5 2 6 4 , 6 3 3 0 9 1 8 , 4 5 8 8 , , 2 1 1 8 1 1 1 , 7 5 7 1 , 6 2 9 1 , 9 6 1 0 0 3 9 0 3 9 7 1 1 8 1 1 1 1 1 - 2 - 2 - - - 3 - 3 3 3 1 4 3 ft a r 3 1 3 6 1 i t i v i a m o L ) s s e c n i r P s l e s s e V .
g .
e ( 4 2 8 9 1 3 4 8 l l a m s t a o b 8 5 5 1 , 0 4 6 1 , 2 8 - 1 1 - 1 1 - - - 1 - 1 5 - 5 6 2 8 - - - - - - - - - - - - - - - - - - , 4 9 7 3 , , 5 9 1 1 , 1 1 1 8 1 8 1 , 9 6 9 1 , 1 5 1 4 5 1 1 1 5 6 1 0 2 - / d w 4 ( ) k c u r t 1 5 5 2 , 3 2 7 2 , - c a d l o h e s u o H t e k r a m g n i s s e c 9 9 8 8 2 , 4 3 1 2 , 3 3 0 1 3 , 3 0 0 3 , 3 4 2 3 , , 3 3 3 1 5 9 3 , 9 6 7 8 , 1 0 5 9 , / e c n i v o r P / n o i s i v i D / l a n o i t a N / : 4 .
0 1 e l b a T General Table & Descriptive Analysis Report 322 / e o n a C k l a W r a c e v i r D 6 1 7 4 1 4 1 - , 5 6 4 1 , 5 9 5 1 , 0 3 1 0 4 7 6 3 6 7 7 - - - - - - 1 - 1 - - - 1 - 1 5 3 8 0 9 5 2 9 1 6 1 2 2 3 8 1 7 9 6 3 7 0 7 7 - - - 1 - 1 4 4 4 4 - 1 - 1 6 4 6 4 7 1 - 7 1 8 1 1 9 1 - 6 - 6 ft a r i t i v i a m o L ) s s e c n i r P s l e s s e V .
g .
e ( l l a m s t a o b 1 - 1 - - - - - - - - - 1 - 1 1 - 1 1 - 1 - - - 0 6 3 2 2 6 3 3 3 3 1 1 4 4 3 3 1 1 7 1 1 4 1 - 1 7 0 8 7 1 4 2 8 - - - - - - - - - 9 0 4 8 1 4 9 0 6 3 3 6 8 1 1 9 1 1 1 - - - - 4 - / d w 4 ( ) - c a d l o h e s u o H t e k r a m g n i s s e c 1 6 3 1 , 4 8 3 1 , 3 2 6 6 7 2 3 8 9 7 2 2 1 1 , 6 7 1 1 , 4 5 0 4 1 4 1 4 5 1 9 8 3 3 , 2 1 5 3 , 6 2 1 3 , 3 2 1 8 0 4 3 , 6 7 6 2 , 2 8 2 5 2 9 2 , 7 1 7 1 , 9 4 8 1 , / / e c n i v o r P / n o i s i v i D / l a n o i t a N / : 4 .
0 1 e l b a T General Table & Descriptive Analysis Report 323 323 / e o n a C k l a W r a c e v i r D 4 0 2 4 1 8 1 2 2 1 - 2 1 5 8 2 7 8 9 0 1 6 5 1 1 6 0 2 4 1 2 8 9 5 1 3 , 6 8 3 3 , , 7 0 3 1 , 5 8 3 9 6 1 , 8 7 8 1 , 6 2 0 1 , 5 8 1 5 5 1 8 0 1 , 3 5 5 2 , 2 0 7 2 , 0 6 1 1 , 9 4 1 6 6 2 1 , 9 3 7 4 , 9 4 0 5 , ft a r i t i v i a m o L ) s s e c n i r P s l e s s e V .
g .
e ( l l a m s t a o b 2 - 2 1 - 1 2 1 3 1 - 1 4 1 5 - - - 2 1 3 3 1 3 1 - / d w 4 ( ) , 9 8 2 1 , , 2 8 1 8 , 5 2 9 1 , 3 6 6 1 9 6 1 0 2 , 5 9 8 4 , 4 2 2 5 , 2 0 4 2 , 9 2 3 8 9 5 2 , 2 2 2 9 , 8 3 8 9 , / e c n i v o r P / n o i s i v i D / l a n o i t a N / : 4 .
0 1 e l b a T General Table & Descriptive Analysis Report 324 Figure 10.4: Distribution Number of Agricultural Household by Main Mode of Transport to Market at Division level Drive car 80% 90% 100% 70% Walk Drive (4wd/truck) Canoe/small boat Horse Other Maritime Vessels (e.g.
Lomaiviti Princess ) Bamboo raft Bus Carrier General Table & Descriptive Analysis Report 325 325 CHAPTER 11: FOOD INSECURITY General Table & Descriptive Analysis Report 326 A.

List of Tables Table No.

No.
Table Name 1 2 3 4 11.1 11.2 11.3 11.4 Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /National/DIvisoin/Province/ Sex of household head during last 12 months Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /Household Size head during last 12 months Number of Agricultural Households by Sex of Household Head and Frequency with which households ran out of Food due to lack of money or other resources during last 12 months Number of Agricultural Households by Size of Household and Frequency with which households ran out of Food due to lack of money or other resources dur- ing last 12 months Page No.
326 328 332 334 B.

List of Figures No.

1 2 Figure No.

Name 11.1 11.4.1 % Distribution of Household by Frequency of Access to Balanced Meal/Division Distribution of Household by Frequency of which Households ran out of Food due to Lack of Money Page No.
328 333 General Table & Descriptive Analysis Report 327 327 C. Tables & Graphs ACCESS TO BALANCED MEAL (THREE TIMES A DAY) Table 11.1 presents distribution of number of agricultural households by frequency of access to balanced meal (three times a day) during last 12 months from the date of enumeration.

The table reveals that during this period in Fiji, 41.0% of agricultural households always had access to balanced meal, 53.5% had access some times and 3.6% never had access to balanced meal.
If we categorize the households by sex of household head, it is found that the proportion of households having access to balanced meal works out to 42.3%, 52.6%, 3.65 for male headed households and 32.1%, 60.3%, 3.1% for female headed households having access always, sometimes and never respectively.

A more or less similar pattern is observed in divisions too.
The proportion of agricultural households having access always, sometimes and never is reported to be 35.7%, 58.7%, 4.1% in Central division; 56.6%, 38.6%, 4.0% in Eastern division; 33.9%, 59.5%, 3.9% in Western division; and 50.8%, 45.4%, 2.5% in Northern division respectively.

Thus, the data reveals that the female headed households were better placed in so far as access to balanced meal is concerned.
It may be noted that sum total of percentages for different responses does not equal to hundred as some of the households refused to respond to this question.
Table 11.1: Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /National/Division/Province/ Sex of household head during last 12 months Division Province Sex of House- hold Head Total Number of Agricultural/ Farming Household Always Sometimes Never FIJI Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total General Table & Descriptive Analysis Report - 67 137 6 143 Table 11.1: Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /National/Division/Province/ Sex of household head during last 12 months Division Province Sex of House- hold Head Total Number of Agricultural/ Farming Household Always Sometimes Never Eastern Lomaiviti Male Rotuma Total Western Ba Nadroga/ Navosa Ra Total Northern Bua Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Cakaudrove Male Macuata Total Female Total Male Female Total Male Female Total 10,263
General Table & Descriptive Analysis Report 329 329 Figure 11.1.1: % Distribution of Household by Frequency of Access to Balanced Meal/Division 53.5% 58.7% 41.0% 35.6% 38.6% 56.5% 45.4% 50.8% 59.5% 33.9% Fiji Central Eastern Western Northern Always Sometimes Never No Respond Frequency of Access to balanced meal (three times a day) with Agriculture Household Size Table 11.2 gives distribution of number of agriculture households by frequency of access to balanced meal (three times a day) by household size during last 12 months from the date of enumeration.
The proportion of households having access always, sometimes and never is reported to be 33.7%, 58.7%, 3.0% for one person households; 40.7%, 53.2%, 3.6% for two to three person households; 41.5%, 53.5%, 3.6% for four to five person households; 42.5%, 52.9%, 3.6% for six to nine person households; and 45.3%, 51.2%, 2.8% for 10 or more person households respectively.

This table reveals that household size does not affect the accessibility to balanced meal.
It may be noted that sum total of percentages for different responses exceeds hundred as some of the households refused to respond to this question.
Table 11.2: Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /Household Size head during last 12 months Division Province Household Size Total Number of Agricultural/ Farming Household Always Sometimes Never FIJI Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Central Naitasiri 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons Namosi - 4,685 1,748 2,792 118 67 411 389 288 29 192 228 171 37 210 158 114 1 7 3 3 General Table & Descriptive Analysis Report 330 Table 11.2: Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /Household Size head during last 12 months Division Province Household Size Total Number of Agricultural/ Farming Household Always Sometimes Never Central 10 or more Persons Rewa Serua Tailevu Total Eastern Kadavu Lau Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Lomaiviti 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 1,592
- 14 2 20 23 21 2 68 4 60 55 53 4 176 22 140 123 71 9 365 38 279 246 163 15 741 4 42 19 2 - 67 17 63 43 18 2 143 2 7 8 6 General Table & Descriptive Analysis Report 331 331 Table 11.2: Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /Household Size head during last 12 months Division Province Household Size Total Number of Agricultural/ Farming Household Always Sometimes Never Eastern 10 or more Persons Rotuma Total Western Ba Nadroga/ Navosa Ra Total Northern Bua Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons General Table & Descriptive Analysis Report - 3 1 - Table 11.2: Number of Agricultural Household by Frequency of Access to balanced meal (three times a day) /Household Size head during last 12 months
 Division Province Household Size Total Number of Agricultural/ Farming Household Always Sometimes Never Northern Bua 10 or more Persons Total Cakaudrove 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Macuata 1 Person Total 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total EXPERIENCED NO FOOD DUE TO LACK OF MONEY OR OTHER RESOURCES Table 11.3 presents number of agricultural households by frequency with which households ran out of food due to lack of money or other resources during last 12 months from the date of enumeration.
The table reveals that during this period in Fiji, 4.0% agricultural households often ran out of food due to lack of money or other resources, 32.2% ran out of food due to lack of money some times and 62.0% never ran out of food due to lack of money or other resources.
If we categorize the households by sex of household head, it is found that the proportion of households which often, some times and never ran out of food due to lack of money or other resources works out to 3.8%, 31.3%, 63.4% for male headed households and 5.1%, 38.8%, 51.6% for female headed households respectively.

It may be noted that sum total of percentages for different responses does not equal to hundred as some of the households refused to respond to this question.
General Table & Descriptive Analysis Report 333 333 Table 11.3: Number of Agricultural Households by Sex of Household Head and Frequency with which households ran out of Food due to lack of money or other resources during last 12 months Division Province FIJI Total Central Naitasiri Namosi Rewa Serua Tailevu Total Eastern Kadavu Lau Lomaiviti Rotuma Total Western Ba Nadroga/Na- vosa Sex of House- hold Head Total Number of Agricultural House- hold Often Sometimes Never Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total - 7 10 4 14 12 7 19 2 - General Table & Descriptive Analysis Report 334 Table 11.3: Number of Agricultural Households by Sex of Household Head and Frequency with which households ran out of Food due to lack of money or other resources during last 12 months Sex of House- hold Head Total Number of Agricultural House- hold Often Sometimes Never Division Province Western Ra Total Northern Bua Male Female Total Male Female Total Male Female Total Cakaudrove Male Macuata Total Female Total Male Female Total Male Female Total Frequency of which Households ran out of Food due to Lack of Money with Agricultural Household Size Table 11.4 presents distribution of number of agricultural households by size of household and frequency with which households ran out of food due to lack of money or other resources during last 12 months from the date of enumeration.
The proportion of agriculture households which often, sometimes and never ran out of food due to lack of money or other resources is reported to be 5.4%, 38.3%, 51.8% for one person households; 4.0%, 33.0%, 60.5% for two to three person households; 4.1%, 31.7%, 62.9% for four to five person households; 3.4%, 30.3%, 65.4% for six to nine person households; 3.3%, 28.4%, 67.6% for 10 or more person households.
Looked at in totality, in Fiji, 4.0% households often ran out of food due to lack of money or other resources, 32.2% some times and 62.0% households never ran out of food due to lack of money or other resources during the said 12 month period.

It may be noted that sum total of percentages for different responses does not equal to hundred as some of the households refused to respond to this question.

The remained number of households did not respond to the question.
Figure 11.4.1: % Distribution of Household by Frequency of which Households ran out of Food due to Lack of Money 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 62.0% 60.4% 75.8% 54.3% 69.6% 32.2% 35.5% 4.0% FIJI 2.5% Central 22.7% 0.7% Eastern 37.8% 5.3% 24.5% 4.5% Western Northern Often Sometimes Never No respond General Table & Descriptive Analysis Report 335 335 Table 11.4: Number of Agricultural Households by Size of Household and Frequency with which households ran out of Food due to lack of money or other resources during last 12 months Division Province Household Size Total Number of Agricultural/ Farming Household Often Sometimes Never FIJI Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Central Naitasiri 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Namosi 1 Person Rewa Serua 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Tailevu 1 Person Total 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total General Table & Descriptive Analysis Report - 57 2 7 2 - - Table 11.4: Number of Agricultural Households by Size of Household and Frequency
 with which households ran out of Food due to lack of money or other resources during last 12 months Division Province Household Size Eastern Kadavu 1 Person Lau 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Lomaiviti 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Rotuma 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons Total Western Ba Nadroga/ Navosa 10 or more Persons Ra Total 1 Person Total Number of Agricultural/ Farming Household Often Sometimes Never - 7 1 5 6 2 - 14 3 10 4 2 - 19 1 - 1 - - 2 7 16 14 5 - - General Table & Descriptive Analysis Report 337 337 Table 11.4: Number of Agricultural Households by Size of Household and Frequency with which households ran out of Food due to lack of money or other resources during last 12 months Division Province Household Size Total Number of Agricultural/ Farming Household Often Sometimes Never Western Total Northern Bua 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total
 Cakaudrove 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total Macuata 1 Person Total 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total 1 Person 2-3 Persons 4-5 Persons 6-9 Persons 10 or more Persons Total - General Table & Descriptive Analysis Report 338 ANNEXURES General Table & Descriptive Analysis Report 339 339 ANNEXURE- 1 CONCEPTS AND DEFINITIONS USED FOR 2020 FAC • • Statistical Unit - A Statistical Unit for any data collection is the basic unit for which data is collected.
For 2020 FAC, data was collected from the following statistical units – Farming Households and Institutional Farms (Agricultural Holdings) and Enumeration Area (Tikina Vou/ Small Districts) Farm - A Household or Institution (Agricultural Holding) that has land utilized for Agriculture (Crop, Livestock, and Fisheries & Forest).

The land may be Owned, Leased, occupied with Traditional Arrangements or occupied and farmed with No Formal Arrangement for its use.
• Agricultural Household/ Farming Household - A Household is a small group of persons who share the same living accommodation, contribute their income and wealth to acquire certain goods and services and share the same eating arrangement.

An “Agricultural Household” is defined as a household where the Main Economic Activity identified is farming i.e it practiced any Agricultural Activity viz.

Crop, Livestock, FisheriAes or Forestry during reference period of 2020 Agriculture Census.
• Type of Agricultural holdings - For 2020 FAC, there were two types of Agricultural Holdings covered: (i) Farming Households e.g.

Households in villages and settlements that practice agricultural activities, and (ii) Institution Farms.

• An Institutional Farm- is defined as a Farming Unit managed or operated by cooperation, group of individual, Institution, or Government Agency without regard to Title, Legal Form or Size e.g.
Naboro, Navuso Agriculture School, Village owned fish pond, Large Scale Farm etc.

Enumerators were advised to consider the following criteria when identifying institutional farm: I.

Ownership : Consist of two or more individuals e.g.

Village Projects • Government owned e.g.

Naboro Correction Centre, Government Schools Farms owned by Companies/Corporation e.g.

Hotels, Large Estates Large Scale Farms – e.g.

joint ventures • • II.


Farm Output: • • • Farm Cash Income – standard and equally shared Farm Non Cash Income - to benefit the community instead of individual household Farm Produce – Crop, Livestock, Fisheries & Forest [fresh, no value added] III.

Management: The institutional farm should have a manager or chairperson as the head coordinated • • • • General Table & Descriptive Analysis Report 340 by a committee or board.

It should have a standard administration arrangement.
Institutional farm should be registered.

Primary Occupation - The economic value (cash/non cash) of the activity and its impact to the wellbeing of the household should be considered.

The activity with the highest cash/non cash value is the Primary occupation.

Land tenure - Land tenure refers to the arrangements or rights under which the holder operates the land making up the holding.
The following definitions on land tenure has been used - • • Freehold: Land that the household holds a legal formal title to.

Lease from the State (Crown Land): Land leased by the state or government • Native Lease: This refers to land operated with a lease arranged through the Native Land Trust Board (NLTB) Ownership • Traditional (Mataqali, Tokatoka, Yavusa, and Kovukovu/ Kanakana): This refers to land operated through an arrangement with the village or land holding group.
No rent is required to be paid • Occupy informal arrangement: This refers to other informal arrangements such as gifts or in kind, that have been made with the village or land holding group land with iTaukei • Occupy without any legal arrangement: This refers to squatting – where land is operated by farmer without ownership title and without paying any rent Parcel, field and plot: A holding parcel is any piece of land of one tenure type, entirely surrounded by other land, water, road, forest, etc.
not forming part of this holding or forming part of it under a different form of tenure.

A parcel may consist of one or more fields adjacent to each other.

A field is a piece of land in a parcel separated from the rest of the parcel by easily recognizable demarcation lines, such as paths, and/or hedges.

A field may consist of different plots.


A plot is a part or whole of a field on which a specific crop or crop mixture is cultivated Land use - Land use refers to activities – such as growing crops, raising livestock or cultivating fish – carried out on the land making up the holding with the intention of obtaining products and/or benefits.
In 2020 FAC, data has been collected for following land use categories – • Temporary Crops (Short Term Crops): includes all land used for crops with less than one-year growing cycle; examples of temporary crops include vegetables and root crops.

In this category area under vanilla, passion fruit, sugarcane and similar crops is not included, as these are classified as permanent crops.

This refers to the physical areas of land on which temporary crops are grown (often referred to as net cropped area).
The gross cropped area identifies the number of times the physical land area under temporary crop is planted in the last 12 months.

• • • • • Fallow for one year or more: Fallow land refers to arable land at prolonged rest for the last 12 months or more before re-cultivation Permanent Crops (no pastures): Land cultivated with long-term crops which do not have to be replanted for several years; e.g.

coconut, avocado, papaya, yaqona (kava), pineapple, banana, vanilla, passion fruit, sugarcane etc.
Permanent Crops with pastures: Land cultivated with coconuts or other permanent trees mixed with pastures for livestock grazing purposes • Temporary Meadows and Pastures (Supply Pastures): Land temporarily cultivated with grasses or similar forage for mowing or pasture.

Land would be classified under temporary meadows and pastures if it has been under such use for a period less than five years.
• Permanent Meadows and Pastures: - Land cultivated or naturally grown with herbaceous forage crops (grasses or similar forages) for mowing or livestock grazing purposes should be classified under this category if it has been under such use for a period of five years or more.

Livestock - Livestock refers to all animals and birds kept or reared in captivity mainly for agricultural purposes.

This includes Cattle, Horses, Sheep, Goats, Pigs as also Poultry and Bees.
Forest - A large area covered mainly with trees and undergrowth is referred to as forest.

WCA 2020 defines forest as land spanning more than 0.5 ha with trees higher than 5 metres and a canopy cover of more than 10 percent or trees able to reach these thresholds in-situ.

is • Aquaculture - Aquaculture the cultivation (farming) of marine organisms such as fish, molluscs (clams, mussels) crustaceans (prawns, lobster).
Aquaculture activities mean regular stocking, feeding and protection from predators to increase the supply of the marine organism.

• Climate change - Climate change is defined as any significant long-term change in the expected patterns of weather of a region over a significant period of time.

Climate change is about abnormal variations to the climate and the effects of these variations on different forms of life.
• Agricultural machinery used - refers to the use of machinery by the household wholly or partly for crop, livestock, fisheries or forestry purposes during census reference period.

Equipment may be owned by the household or hired/borrowed from someone else.

General Table & Descriptive Analysis Report 341 341 Annexure- 2 Items captured for different themes for 2020FAC 1.
Household Composition; Name of family member, sex, age, relationship to head of household, marital status, highest level of education, whether attended agricultural training, main economic activity (primary and secondary occupation), participation of member in agricultural tasks, functioning challenges, farmers with savings account and farmers who own mobile phones.

2.
2.

Household Particulars; Type of dwelling, type of building material used for outer walls of the house, main source of water supply, main type of lighting, main source of power supply, type of fuel used for cooking, type of toilet facility and household durables.

3.

Farm Land; Number of farm land parcels, location of each parcel, Land Tenure, Type of Lease, Land Ownership, Land Area, Land Use Type, accessibility to farmland and type of irrigation.

4.
4.

Crops on Farmland; Type of crops, method of planting, crop farming area, production, market outlet, market price, farm inputs, sugarcane farming information.

5.

Livestock Farming; Type of Livestock, livestock farming area, stock count, production, market outlet for sale, type of livestock feed and type of livestock services.

6.
6.

Forestry; Uses of Natural/Plantation forest, purpose of gathering or collecting forest products, type and age of timber species, whether own any tree nursery, deforestation for agriculture purposes and forest area damaged by natural disasters.

7.

Fisheries; Type of fishing activity, type of fishing habitat/area, mode of transportation for fishing activity, type of fish, production and marketing.

8.
8.

Aquaculture; Type of aquaculture farming, type of water used for aquaculture farming, type of aquatic organisms, production, marketing and type of feed.

9.

Climate Change and Challenges; Understanding of climate change, changes noticed on the farm, changes occurred on the farm, frequency of occurrence, type of farming practices adopted, species of agroforestry planted and main challenges to agricultural activities.

10.
10.

Equipment; Type of equipment, type and number of hand tools owned, type and number of small machinery owned, hired/borrowed and type and number of heavy machinery owned, hired/borrowed.

11.

Agricultural Services; Accessibility to agricultural finance, accessibility to Government assistance and accessibility to market 12.
Food Insecurity; Accessibility to balanced meal three times a day and accessibility to money or other resources General Table & Descriptive Analysis Report 342 Annexure - 3 2020FAC Questionnaire Component and Linkage to SDG Section Purpose Data Items SDG Linkages 1.
Household Composition those identify The purpose of this section is to determine Households that mainly relies on Agriculture as main economic activity, the population that considered farming or fishing or forest activity as their primary and secondary occupation and in agricultural activities in Fiji.

And also determine and analyze the role of women in agriculture sector.
Data collected from this section is also useful in determining the frame for special gender surveys and other agricultural related surveys in the future.

that only assist 2.

Housing Particulars 3.


Land Data collected in this section is useful infrastructure development for planning that could support the initiatives and plans of Government agencies in the Economic sectors in promoting economic growth, employment creation, reducing poverty and ensuring sustainability of livelihood of all Fijians who their relies on Agriculture as main activity.
This section is also useful in identifying vulnerable areas in farming and depth of impact a disaster can create to farms and households and project identification process which measures the impact of farming in the well-being of every agricultural household.
economic Household Members – Sex, Relationship to Head, Age, Religion, Marital Status, Highest Education Com- pleted, Mobile Contacts (Farmer, Fisher, Forester), Economic Activity (Prima- ry Occupation, Secondary Occupation), Occupation Status, Involvement in Ag- riculture Activities, Sav- ings, Attended any Agricul- ture Training, Functioning Challenges Household- Type of House, Type of Building Mate- rial for Outer Walls, Main Source of Water Supply, Use for Cooking, Type of Toilet Facility, Household Dura- bles Number of Piece of Land Operated by Household, Location of the Farm Land [Province, District], Land Tenureship, Land Owner- ship, Number of Years of Operating Land for Ag- riculture purpose, Land Area, Land Use Type, Ac- cessibility to Farm Land General Table & Descriptive Analysis Report 343 343 2020FAC Questionnaire Component and Linkage to SDG Section 4.
Crop Production 5.

Livestock 6.

Forestry Purpose Data Items SDG Linkages Data Collected in this section will be used as a sampling frame for crop surveys in the future and also a complete enumeration census provides an unique opportunity to determine the status and structure of crop farming in the country.
Production data in an agricultural census are useful as benchmarks for current crop production statistics and different utilization rate of harvested crops, and use of fertilizers and chemicals which in assessing and analyzing its impact to the Environment.

determine is useful the Livestock refers to all animals & birds kept or reared in captivity mainly for agricultural purposes.

This includes cattle, horses, sheep, goats and pigs, as well as poultry and bees.
This section covered all livestock that were raised on the household farm during the census period.

The number of livestock is one of the essential items of the agricultural census, and is especially useful as a means of providing sampling frames for detail livestock surveys.

Production data in an agricultural census are useful as benchmarks for current livestock in statistics.
production this section will also provide data on the type of markets used by farmers, value of production, and proportion of production used for consumption and sales, type of feeds used, and veterinary services.
Items Type of Crops, Method of Planting, Areas, Number of Plants, Production, Market, Type of Farm Input Type of Livestock, Method of Keeping Livestock, Stock Population, Production, Market, Livestock Feed & Services Type of Forest Areas, Uses of Natural/Plantation forest, Purpose of Harvesting, Type of Species planted on forest land, Number of years ago were the Natural/ Planted trees planted, Operated Nursery, Deforestation for farming purpose, Impact of Natural Disaster Forest General Table & Descriptive Analysis Report 344 2020FAC Questionnaire Component and Linkage to SDG Section 7.
Fishing Purpose Data Items SDG Linkages Usual area of collecting fish, Main Mode of Transportation to area of collecting fish, Methods of Fishing, Type of Fish, Production/Har vesting, Market section provides This items that captured fisheries activities conducted at household level.

It was not intended to cover the activities of large-scale commercial fishing enterprises.
The items was collected either from fishers who also have agricultural farms, or for other households as well when conducting a wider agricultural census.

In this census, the items would be collected for fishers who don’t have farms and also fishers who have farms.

In this case, the data collected should provide a complete frame of household capture fisheries activities or a complete picture of household fisheries in the country.
These data would provide a more complete account of household fishing activities of the nation.

Production data in an agricultural census are useful as benchmarks for current informal production statistics.

8.

Aquaculture in Data collected this section is useful for assessing food and nutrition security in Fiji, income generating activities in rural areas, and other economic indicators for both man and woman at different age groups in Rural Areas.
of Type Aquaculture farming practiced, Type of Water used for Aquaculture farming, Type of Aquatic Organisms, Production/ Harvest, Market and Feed implemented by 9.
Climate Change This section provided data on the farmers level of understanding on climate change, measures the level of Climate Change awareness the platforms Government agencies at the lowest administrative units per regions, impact of climate change and causes of changes by geographical areas, adoption of climate change mitigation practices by farmers and species of trees planted for agroforestry.
Noticed Climate Understanding Change, or Observed any change by type, Causes of Change, Frequency of Occurrence, Climate Adoption/ Mitigation Practice General Table & Descriptive Analysis Report 345 345 2020FAC Questionnaire Component and Linkage to SDG Section Purpose Data Items SDG Linkages 10.

Equipment 11.
Equipment 11.

Agriculture Services Types, Qty and Ownership of Hand Tools, Small Machineries and Heavy Machineries Accessibility to Agriculture Finance (Source, Purpose and Responsible member for Loan), Accessibility to Government Assistance, Accessibility to Market inputs census, A broad concept of machinery and equipment is used for the agricultural covering all machinery, equipment and implements used as to agricultural production.
This includes everything from simple hand tools, such as a hoe, to complex machinery, such as a combine harvester.

However, the main farm interest centers on mechanization.
in the section provided Information used This data on Inventories of all Farming Equipment’s country, in for Baseline Impact/Damage Assessment of any Natural Disasters in the country, Baseline Information for providing terms of Rehab-Assistance equipment’s after disasters, Farm Mechanization areas, Ratio of Farm to Machineries by Geographical Areas that could be a challenge for moving towards Commercial Farming, Number of Farmers who owned, hired and borrowed hand tools, small machineries and heavy machineries, Total Value of Assets of the Agriculture Sector for available Credit for agricultural purposes refers to any type of credit approved and purposes related to the operations of the agricultural holding.
This includes credit for purchasing crop and livestock inputs, constructing farm buildings and purchasing farm machinery.

Credit not related to agricultural operations, such as for construction of the holder’s house, for other family businesses or for consumption expenditure, should be excluded.
Data from this section can also be used as basis of evaluating Government (MoA) the years and status of farmers market accessibility in Fiji as we move towards commercialization interventions over General Table & Descriptive Analysis Report 346 2020FAC Questionnaire Component and Linkage to SDG Section Purpose Data Items SDG Linkages 12.

Household Food Security Have access to food to feed family a balanced meal three times a day?
A time when a household ran out of food because of a lack of money or other re- sources?

safe Household food security refers to the situation in which all members of a household at all times are and enough consuming nutritious food for normal growth and development and for an active and healthy life.

A household is food-insecure if it is not able to procure enough food or if its members are unable to eat adequate safe or nutritious food due to limited resources.
Food insecurity refers to conditions related to a household not producing enough food and not having enough resources to buy.

can section that procures produce This information that can assist planners and decision makers in evaluating the level of intervention by the Ministry over the years through Programs and distribute planting materials, seeds and seedlings to the farmers.
Also, will assist in evaluating, modifying and aligning existing policies, strategies and programs that can improve food and nutrition security for all Fijians.

2020 FAC Data User Conference General Table & Descriptive Analysis Report 347 347 Annexure - 4 Crops Name Spacing Unit No.

of Plants/ Hectare No.
of Plants/ Acres Expected Yield (Tons) / Ha Expected Yield (Tons) /Ac Amaranthus Avocado Pear Banana Bele Breadfruit Capsicum Cardamon Carrots Cassava Cauliflower Celery Cherries Chillies 0.5m x .15m 9m x 9m 3.3m x 1.8m 1m x 0.5m 12m x 12m 0.75m x 0.4m 1.8m x1.8m 0.5m x 0.2m 1m x 0.5m 0.75m x 0.4m 0.9m x 0.25m 3m x 2m 0.75m x 0.3m Chinese Cabbage 0.75m x 0.3m Cinnamon Cocoa Coconuts Copra Cowpeas Cucumber Dalo Dalo ni Tana Dawa Dhania (Corriander) Dragon Fruit Duruka Eggplant 3m x 3m 2.5m x2.5m 10m x 10m 10m x 10m 0.65m x 0.5m 1m x 0.3m 1m x 0.8m 1m x 1m 10m x 10m 3m x 2m 1.3m x 0.3m 1.5m x 0.5m English Cabbage 0.75m x 0.4m French Bean Garlic Ginger Gourd Guava Ivi Kavika-(Rose Apple) Kawai Kumala Kura Lemon Lettuce 0.5m x .15m 0.5m x 0.2m 0.6m x 0.2m 3m x 2m 12m x 12m 10m x 10m 10m x 10m 1m x1m 0.8m x 0.5m 4m x 4m 5m x 5m 0.75m x 0.4m General Table & Descriptive Analysis Report 0.3m x 0.06m ENUMERATORS GUIDE ON CROP DENSITY Crops Name Spacing Unit No.
of Plants/ Hectare No.
of Plants/ Acres Expected Yield (Tons) / Ha Expected Yield (Tons) /Ac Long Bean Maize Mandarins Mango Mung Bean Nutmeg Okra (Bhindi) Oranges Ota Passionfruit Pawpaw Peanut Pigeon Pea Pineapple Pumpkin Raddish Rice Sour Lime Soursop Spring Onion Tarawau Tivoli Tobacco Tomato Urd Vanilla Voivoi Vudi Vutu Watercress Watermelon Wi- (Ambarella) Yam Yaqona Zucchini 0.75m x 0.2m 0.75m x 0.35m 5m x 5m 10m x 10m 0.65m x 0.5m 8m x 8m 1m x 0.3m 5m x 5m 0.5m x 0.3m 3m x 3m 3m x 2m 0.65m x 0.5m 0.65m x 0.5m 0.12m x 0.6m x 0.3m 1.5m x 1m 0.5m 0.05m 0.2m x 0.15m 5m x 5m 4.5m x 4.5m 0.5m x 0.08m 10m x 10m 1m x 0.6m 1.5m x 1.2m 0.75m x 1.5m 0.5m x 0.2m 3m x 3m 1m x 1m 3.3m x 1.8m 10m x 10m 0.5m x 0.3m 3m x 1m 12m x 12m 1m x 0.6m 2m x 2m 1m x 0.3m General Table & Descriptive Analysis Report 349 349