1. Regional Workshop for Monitoring the SDGs related to Food
and Agriculture Sector and on the WCA 2020
Nadi, Fiji 6-10 November 2017
TECHNICAL SESSION 10:
2015 TONGA NATIONAL
AGRICULTURAL CENSUS
1
Name: Futa Lolo
Title : Technical Officer Grade 11
Name of agency : Ministry of Agriculture& Forestry & Fisheries and Food
E-mail address: futa.lolo@maff.gov.to or futalolo@yahoo.com
2. TABLE OF CONTENT
INTRODUCTION .....................................................................................................................................................4-5
CENSUS METHODOLOGY....................................................................................................................................6-8
MAIN ITEMS OF THE THEME ASSIGNED TO YOUR COUNTRY
1-2 Identification & Demographic Household Bio data..........................................................................................7
A1-A2 Crops & Livestock......................................................................................................................................8
A3 Fisheries............................................................................................................................................................9
A4-A5 Forestry & Handicrafts................................................................................................................................10
A6 Other Information..............................................................................................................................................11
CENSUS COVERAGE.................................................................................................................................................12
ORGANIZING OF A CENSUS OF AGRICULTURE
Relation of Agricultural Census to Population Census......................................................................................13-16
Relationship with Housing Census...........................................................................................................................17
Relationship with Economic Census.....................................................................................................................18-19
THE ROLE OF THE CENSUS OF AGRICULTURE IN MONITORING OF SDG:
POVERTY AND HUNGER..................................................................................................................................20-21
CHANGES TONGA CAN INTRODUCE REGARDING THE ASSIGNED THEMES......................................22
CHALLENGES AND DIFFICULTIES.....................................................................................................................23
LESSONS LEARNT...................................................................................................................................................24
CONCLUSION AND RECOMMENDATIONS.......................................................................................................25
2
3. INTRODUCTION
An agricultural census is usually conducted on a ten year basis, however, it has been a fourteen year gap
between the previous Agricultural Census and the 2015 Tonga National Agricultural Census(TNAC).
Significant changes occurred in the Agricultural sector coupled with the need for updated agricultural
statistics for policy formation, pushed the Ministry to conduct the 2015 Tonga National Agricultural
Census(TNAC).
The 2015 Tonga National Agricultural Census(TNAC) was conducted to assess the structure of the
Agriculture sector in Tonga and to provide a framework for more regular agriculture surveys to draw
from in the future.
The implementation of this census would not have been possible without the generous technical and
financial support of the Food and Agriculture Organization (FAO).
The 2015 Tonga National Agricultural Census(TNAC) was jointly implemented by (Ministry of
Agriculture & Forestry & Fisheries and Food (MAFFF) and the Tonga Statistics Department (TSD)
since the authority for implementation of the census rest with the Government Statistician who has the
legal power to collect such information under the Statistics Act 1978.
3
4. CENSUS METHODOLOGY
In order to prepare for the 2015TNAC, the Tonga Government committed budgetary resources from their
own funds and sought supplementary technical assistance from the FAO under FAO Technical
Cooperation Program (TCP/TON/3403). The census activities implemented under the TCP can roughly
be divided into three stages:
(a) June to December 2014:
Main activities during this period included the recruitment of the National Project Coordinator, the formation
of the 2015 TNAC Steering Committee, acquisition of equipment and materials, preparation of census
frames and development of census work plan and design of census questionnaire.
During this period, the Lead Technical Officer, Dr. Mukesh Srivastava, undertook his first mission to Tonga
to assist the TSD and MAFFF in the above aspects of work. An international consultant, Mr. Choiril
Maksum, was also recruited and travelled to Tonga to assist with the design of the questionnaire.
4
5. Methodology cont’d
(b) January to June 2015:
At the beginning of 2015, the project continued with the conduct of data users and producers ‟workshop”,
pre-test of census questionnaires, start of census publicity, finalization of questionnaires and manuals and
designing of data processing system. The enumeration began on 7th April until 30th June 2015. For the
purpose of the 2015 TNAC, the Kingdom was divided into 5 divisions, 23 districts and 169 villages as
provided in the population census.
The village was composed of enumeration blocks. Each enumerator was assigned to handle at least one block
and was provided with the updated household list from TSD, enumeration guiding map, coding sheet,
census questionnaires, instruction manual, summary form and other control form. The enumerator was
asked to complete the work in his/her assigned block(s) and was encouraged to give their best effort in
undertaking the interview of the respondents. Each census supervisor was assigned to handle several
enumerators. He/she was tasked to guide the enumerators during the first week of the census taking. Then
a follow-up supervision was also required from him/her. Then he/she was also expected to do some field
checking/editing to facilitate the data processing in the headquarters.
5
6. Methodology cont’d
(c) July to December 2015:
During this period the forms were collected from the field, data was being processed and final report and
the thematic paper was also written. The questionnaires for the 2015 TNAC were designed in such a way
that data items were efficiently encoded and processed using the software package CSPro.
These methods ensured the TNAC captured good quality data both efficiently and effectively. The final
steps for final editing included:
• Verifying all questionnaires that had been collected. This is done by running frequency statistics on each
variable and checking this against the register of data entry and listing of blocks/questionnaires from the
census;
• Checking for missing variables from the frequency statistics. Some missing variables were imputed and
some were left as it is, for example, values for items like livestock, fish, handicraft, etc.
• Edit check programs were run twice before it was decided to finalise the data.
6
7. MAIN ITEMS OF THE THEME ASSIGNED TO YOUR
COUNTRY
The 2015 Tonga National Agricultural Census (TNAC) the priority needs of MAFFF, the FAO system of
agriculture census and survey classification, the following items were included in the 2015 TNAC:
1. IDENTIFICATION
Holding ID: Village No. + Census Block No. + Household No.
Village Name
Head of Household
2. DEMOGRAPHIC HOUSEHOLD BIODATA
Names of household members
Gender
Age of household members
Relationship to Head of Household
Educational Level
7
8. A1. CROPS:
Land Issues – status of ownerships, leased and rented, number of parcels
Tax Allotments – Town/Bush Allotments, Size of Land area (poles, acres, etc.), Land tenure, Land
Locations, Land Use
Existing Crop Varieties – List of all crops in the cropping area, Method and Type of planting, Size of
crop area (acres)
Harvested Crops – List of harvested crops in the last 12 months, and quantitative estimations of
harvested produces
A2. LIVESTOCK:
Breeds: Cattle, Horses, Pigs, Goats, Chickens, etc.
Life stages: e.g. Pigs: piglets, weaner, barrow, sow, boar)
Numbers: individual counts for each life stages category in each livestock breed
Disposal: Consumed, Social Obligations, Sold, Lost
Veterinary Services: Yes or No
8
9. A3. FISHERIES:
Fishing Type: the type of fishing the household is engaging, Avg. weekly no. of trips, Avg. person
hour/trip, Avg. weekly catch, Avg. weekly value of sold fish
Main purpose: the main purpose of the household fishing activity
Main species harvested: list of main species catches (e.g. tuna & pelagic fish, lobster, shellfish, sea
cucumber, seaweed, ornamental fish, reef finfish, sea urchins, others)
Type of fishing habitat: the fishing ground e.g. flat reef, lagoon, sea grass, reef slope, open sea)
Time of fishing: when fishing are done e.g. day, night or both
9
10. A4. FORESTRY
Numbers and Intended Use of trees/shrubs in Holding e.g. food sources, timbers, soil improvements, high
value woods, fuel, shade/shelter/windbreaks, boundaries, handicrafts, medicinal, conservations,
ornamentals, etc.
A5. HANDICRAFTS:
Raw Material productions: Proportions of raw materials
buy or selling
Total handicrafts produced: Proportions of Total finished
products sold and values
Engaged in group productions of handicrafts for the
purpose of katoanga and estimated values if yes
10
11. A6. OTHER INFORMATION
Labour: Use of group or permanent labours, labour gender, working hours, rate and benefits if paid
Machinery & Equipments: List of all equipments owned in Farming, Fishing, Transport, Energy supply,
and Livestock activities
Agricultural Income and Loan: Proportion of income comes from the agricultural sector activities, loan
amount, sources, purposes and rate of repayment
Opinions and prioritising current Challenges in the agricultural sector: Lack of production inputs,
lack of finance sources, lack of management skills, lack of markets, lack of new technologies and
infrastructures
11
12. Census Coverage
The 2015 TNAC was conducted at the household level and made a complete enumeration of all
households residing in Tonga during the period of the census enumeration. About 1,921 households did
not respond during the 2015 TNAC, compared to 2,410 during the 2001 Census. This represented a final
response rate of 89% for the 2015 TNAC. Households that went abroad and came back after the period
of the census-taking, and those permanently living in other countries, were not included in the survey.
12
13. ORGANIZING OF A CENSUS OF AGRICULTURE
The 2015 Tonga National Agriculture Census(TNAC) held in the Kingdom of Tonga was very motivated
in broaden view to an effective overall economic/social development and planning. The supervisors and
enumerators have gained a lot of skills and experiences in conducting of the census especially in
enumerating of household and used of field materials.
1.1 Relation of Agriculture Census to Population Census
The 2015 Tonga National Agriculture Census(TNAC) was conducted at the household level and a
complete enumeration of all households residing in Tonga during the period of the census enumeration.
List of households from the 2011 Population Census was used as frame for carrying out of the 2015
Tonga National Agriculture Census, even though the list only identifies households, not agricultural
holdings or even households with own-account agricultural production.
13
14. Cont’d of Agricultural Census to population census
2015 Tonga National Agricultural Census provided data that highlighted the majority of agricultural
production activities, Over 95% of the agriculturally active households engaged in subsistence and semi-
subsistence agricultural activities with only 5% engaged in commercial agricultural activities.
Through household component, agricultural and population censuses identified to be in very closely
related where as in 2015 Agriculture census the common concepts, definitions and classifications were
inline with international standards and also with those used in the 2011 Population Census. By using of
common statistical standards in conducting of agricultural and population censuses as approach in the
new World Programme for the Census of Agriculture 2020, data from the two sources are consistent and
comparable.
For field materials, each enumerator in the 2015 Tonga National Agriculture census was provide with
map, coding sheet, census questionnaires, instruction manual, summary form and other control form.
Similar materials were used in the population census. However, agriculture census normally conducted
after population census and in this regards, these two censuses should share the field materials.
14
15. Cont’d of Agricultural Census to population census
In the 2015 Tonga National Agriculture Census (TNAC), each household membership was asked
regarding economic characteristics, about their name, age, sex, main activity, employment status,
occupation and industry. But on the other hand employment status, occupation and industry are normally
including in the population census. To avoid duplication of data, there is emphasis on proper assessing of
the existing agriculture data in sake of data needs for the agriculture census.
Agricultural employment data has weakness from the population census in short reference period of
collecting data of a person’s main activity. This approach may not identify all persons working in
agriculture, because of the seasonality of agriculture activities. Nevertheless, a frame for agricultural
census can be established by combined data on occupation with status in employment from the population
census.
15
16. Cont’d of Agricultural Census to population census
In the recent Population Census 2011, few additional agriculture-related data was included. But by
including considerable agriculture-related items in the population census would therefore, provide
wider range of agriculture-related data for the analysis process, useful for agricultural census frame
and useful for the sample design and selection of a sample-based agricultural census core module.
Some data in the 2011 Population Census especially in the household item was used as a baseline
for the 2015 Tonga National Agriculture Census. The data identified as out-of-dated but by coordinating
the data in these two censuses it opens up the possibility of linking the data between the two censuses.
Linking data means data in a household in both censuses is matched and can be used in tabulation and
analysis process.
16
17. 1.2 Relationship with Housing Census
As approach in the WCA 2020, Housing census provides vital information on housing units, such as size,
construction materials, and available services. Housing census normally conducted in association with
population census, and from here any link between the agricultural and population censuses would also
provide link between agricultural census and housing census.
There was no data on housing units was collected in the 2015 Agriculture Census. But, it is identified
these data are very valuable in analyzing of economic status of a household. The link between the
agriculture, population and housing censuses could bring data on housing census to use in the tabulation
and analysis of the agriculture census. This approach provide new dimension to the agricultural census
analysis.
17
18. 1.3 Relationship with Economic Censuses
Agriculture census 2015 provides valuable information that suit growing demand for agriculture structural
statistics in Tonga especially for analysis of economic/social status and development of the country. Data
collected were included information on level of agricultural activity, agricultural holdings and method of
operation, crops and trees grown by minor agricultural household only, livestock, crops planted and
already harvested on this parcel, etc.
In the new approach for World Census 2020, agriculture census is a component of the overall
economic statistics based on System of National Accounts (SNA) and International Standard
Industrial Classification of Economic Activities (ISIC). In the component of agriculture census, it covers
establishment engaged in agricultural production activities but normally restricted to units engaged in the
production of agricultural goods; namely crops and livestock products. The data provided in agriculture
census shows it close-related with economic census by under this framework, the agricultural census
measures the agricultural industry.
18
19. Cont’d Relationship with Economic Census
The link of agriculture census to housing census and to population census gives data in
agricultural census the opportunity to link with data in economic census.
This link could be a particular agricultural holding in the agricultural census is matched to the
same unit in an economic census to enable data in economic census to be used in the agricultural
census tabulation and analysis.
19
20. THE ROLE OF THE CENSUS OF AGRICULTURE IN
MONITORING OF SUSTAINABLE DEVELOPMENT
GOALS (SDGs): POVERTY AND HUNGER
Eradication of extreme poverty and hunger is goal one of the SDGs. There is a various definition of
Poverty but in the Pacific region it is defined as inadequate levels of sustainable human development
through access to essential public goods and services and access to income opportunities. How does this
definition apply to Tonga? In recent decades, Tonga has undergone rapid social, cultural, economic and
political changes that have resulted in significant changes to the situation of sustainable livelihood of
vulnerable households in Tonga. The major concerns in Tonga with people live in poverty are lack of
access to land or cash crops, lack of access to basic services, such as water and sanitation facilities,
healthcare, and lack of access to employment and consistent income.
The Agriculture Census 2015 covered information on household level. Some of the information collected
on level of agricultural activity, agricultural holdings and household membership and economic
characteristics. These levels provided valuable information for monitoring the status of poverty and
hunger.
20
21. Information collected from the agricultural census indicated signs lack of access to land or cash crop.
According to the agriculture census 2015, about 14% or 2176 households were found to be not growing or
not cultivating any crops/trees/shrubs and they are identified as non-agricultural households. This figure
by itself indicates great worrying in access to land and cash crops and access to consistent income.
Agriculture census could provide a range of data of interest to the SDGs: For example:
Goal 1: Eradicate extreme poverty and hunger. Two SDG indicators are used: the prevalence of
underweight children under five years of age; and the proportion of population below the minimum level
of dietary energy consumption. Data from a supplementary household food security module would help to
better understand changes in the structure of agriculture and their effect on household food security.
Agricultural census helps to better understand the causes of poverty and provide baseline data for
monitoring poverty alleviation programme.
Income and poverty data at the household level were not collected in the agricultural census 2015.
However, the WCA 2020 includes such data in a small census supplementary module, if required.
21
22. CHANGES TONGA CAN INTRODUCE REGARDING
THE ASSIGNED THEMES.
With the closed relationship of agricultural census, population census, housing census and economic
census, Tonga is approaching for an opportunity of conducting the agricultural census with association
with population census. It means to conduct the agricultural census soon after the population census to
capture valid household data for the frame. At the same time Tonga is interesting in including data in the
housing census to enable analyzing of economic status of a household.
For monitoring of Sustainable Development Goals (SDGS) measures, data in a small census
supplementary module is needed to be conducted after the core census module to collect more detailed
structural data.
22
23. CHALLENGES AND DIFFICULTIES
Unpreparedness
results in frequent delaying of census activities
may have an impact with the collected data accuracy
Spatial distances and Remoteness
may affect communications and trip arrangements
National events
may draw away large population from outer islands e.g. coronation and church conference events in
July
Delays due to resources unavailability
unavailability of resources (human, funds, tools, etc.) may delay all planned census activities
23
24. LESSONS LEARNT:
Preparation time should be sufficient:
• required much time in preparations (e.g. 2 – 3 years ahead in preparations)
• public familiarisations with the questions to be asked
• census promotions and publicity required much time
• budget allocations should be in hand
Stability of implementing staff to conduct the census
• keep and use the same staff throughout the census during implementations
• be neutral throughout the census period
Get the right people, the right time, and right tools and equipments
24
25. CONCLUSION AND RECOMMENDATIONS
Give sufficient time in preparations for an agricultural census
Promotion exercises and public programs should be very active in outlining the questions to be asked
to get the public familiar with the questions as to give the most accurate information
Carry out annual surveys between census years as to have estimated benchmark data for the next
census program
Reduce the gap of census interval to not more than 10 years period
Require sufficient time for supervisors’and enumerators’ training
25