Agriculture plays a crucial role in the economy of developing countries, and provides the main source of food, income and employment for their rural populations. Improvements in agriculture and land use are fundamental to achieving food security, poverty alleviation and overall sustainable development.
The principal tasks involved in agricultural statistics are the collection, processing, and analyses of statistical data that characterize the current status and development of agriculture and the fulfillment of production plans. Such data are used to develop annual and long-term plans for agricultural production.
- are of prime importance for agricultural industry,
- are an integral component of national statistical systems,
- are important in designing development policies in the agricultural sector and the national economy.
- ascertain the crop production, crop yield, qualities of crop produced,
- furnish information about different operations and different methods which can be adopted for improving crop output,
- help to compare the different yields of crops and quality check of crops.
The sources of information in agricultural statistics are censuses, sample surveys, reports submitted by regional offices, cooperatives, and agricultural enterprises, data obtained from bookkeeping and production accounting at such farms.
Data collection, analyzing and publishing of agriculture sector differs country by country. Data availability, sufficient funds and time affect the agricultural statistics system.
According to result of the country experiences an agricultural statistics system must include the sources of information census, sample surveys, registers and administrative data sources.
An important point is that each country must develop a Master Sampling Frame for Agriculture to improve their data collection system and quality of statistics.
The country experiences consider countries that range from among the largest in the world to several small countries. All of these differ in terms of their agricultural and economic structures. A common element in their efforts to develop sampling frames for agriculture is that most countries make use of both area and list frames in a multiple frame context.