1. 1 PROGRAMME FOR THE 2010 ROUND OF CENSUSES OF AGRICULTURE J A Colwell November 2005 INTEGRATION OF SURVEYS

2. 2 What is statistical integration? Each statistical activity is carried out, not in isolation, but as a component of the national statistics system.

3. 3 Advantages of an integrated statistical system 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.

4. 4 Examples of integration 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).

5. 5 Trends in statistical integration 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.

6. 6 Agricultural census in an integrated agricultural statistics system Agricultural census is part of the system of integrated agricultural censuses and surveys, which consists of: 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. Programme of agricultural surveys. In-depth surveys conducted after the agricultural census, using the agricultural census as a frame.

7. 7 Why the modular approach for the agricultural census? 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.

8. 8 Criteria for selecting items for the core module 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.

9. 9 An example: aquaculture Core module presence of aquaculture Supplementary module area of aquaculture by type of site area of aquaculture by type of production facility area of aquaculture by type of water sources of water for aquaculture type of aquacultural organism aquacultural production value of sales cost of production Recommended for agricultural census seed and juvenile production. aquafeeds; fertilizers; biocides. integration with agriculture. Possible topics for programme of agricultural surveys