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PROGRAMME FOR THE 2010
ROUND OF CENSUSES OF
AGRICULTURE
INTEGRATION OF SURVEYS
J A Colwell
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November 2005
What is statistical integration?
Each statistical activity is carried out, not in isolation, but as a
component of the national statistics system.
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Advantages of an integrated
statistical system
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Can plan comprehensive statistical programme.
Avoid duplication of statistical work and conflicting statistics.
More efficient use of available statistical resources.
Less burden on survey respondents.
Common concepts, definitions and classifications can be used.
Easier to analyse data.
Each collection can be restricted to a limited set of data items.
May be possible to link data from different collections.
Examples of integration
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Use a common statistical unit (agricultural holding) for agricultural
census and agricultural surveys.
Use a standard crop classification for all agricultural surveys.
Make ranges for presenting results the same in different collections
(e.g., size of holding groups).
Trends in statistical integration
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Countries moving towards greater integration. Reducing
the cost of statistical work is a big factor.
Efforts to achieve better coordination amongst different
government agencies responsible for statistical work.
Emphasis on integration also in agricultural census
programmes. 2010 programme takes integration even
further.
Agricultural census in an integrated
agricultural statistics system
Agricultural census is part of the system of integrated agricultural
censuses and surveys, which consists of:
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Agricultural census is the nucleus of the integrated system.
Modular approach to be used:
– Core census module (complete enumeration or large sample):
provides a limited range of key structural data.
– Census supplementary modules (sample enumeration):
conducted at the same time as or soon after the core module,
using the core module as the sampling frame, to provide more
detailed structural data.
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Programme of agricultural surveys. In-depth surveys conducted
after the agricultural census, using the agricultural census as a
frame.
Why the modular approach for the
agricultural census?
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Problems in meeting demand for new data from a
traditional agricultural census.
Many new data are complex topics. Need in-depth
questions and therefore not suitable for a complete
enumeration census.
Need to cut costs of the agricultural census.
Difficulties countries face in doing a full agricultural census.
Greater emphasis is given to the use of sampling
techniques.
Need to take into account the needs of different countries.
Criteria for selecting items for the
core module
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Key structural data required by the country.
Data needed for sampling frames for agricultural surveys.
Data needed for international comparisons.
Data to be finely classified, such for low-level administrative units or
for rare events.
Base on FAO’s recommended list of 16 items.
An example: aquaculture
Recommended for agricultural census
Supplementary module
Core module
 area of aquaculture by type of site
 presence of aquaculture
 area of aquaculture by type of
production facility
 area of aquaculture by type of water
 sources of water for aquaculture
 type of aquacultural organism
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Possible topics for programme of agricultural surveys
 seed and juvenile production.
 aquacultural production
 aquafeeds; fertilizers; biocides.
 value of sales
 integration with agriculture.
 cost of production