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Restructuring the System of Agricultural Statistics in Hungary

Restructuring the System of Agricultural Statistics in Hungary. MEXAI 2-4 November 2004 Cancun Éva Laczka Ph.D. HUNGARIAN CENTRAL STATISTICAL OFFICE. Hungary. Total area 93 000 km 2 Population 10 million. HUNGARY. Agriculture in the GDP 3 percent

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Restructuring the System of Agricultural Statistics in Hungary

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  1. Restructuring the System of Agricultural Statistics in Hungary MEXAI 2-4 November 2004 Cancun Éva Laczka Ph.D. HUNGARIAN CENTRAL STATISTICAL OFFICE

  2. Hungary Total area 93 000 km2 Population 10 million HUNGARY

  3. Agriculture in the GDP 3 percent Food industry in the GDP 4 percent Agricultural land area 63 percent Employees in Agriculture6 percent Number of units (2003) 7 600 agricultural enterprises 766 000 households Hungarian Agriculture

  4. 1895 1935 1972 1981 1991 2000 1872 Vineyard 1959 Orchard 1965 Vineyard 2001 Orchard and vineyard Agricultural Censuses

  5. The main characteristics of the surveys(1950–2000)

  6. Regular surveys 2003

  7. Regular surveys 2003

  8. 1855 first national income and assets 1950 national balance sheets in material terms 1960 national accounts in material terms and according to the SNA 1990 SNA only 1994 Regional GDP 1996 Quarterly GDP 1999 EAA 2003 Regional EAA Milestones of the SNA and EAA

  9. Data resources of the SNA and EAA Physical data Price statistics Gross production value Production Balance sheets A few new surveys Administrative data

  10. Who are the data suppliers?What is the threshold?

  11. EU requirement Member States have to fix the threshold at a level excluding only the smallest holding which together contribute 1 percent or less to the total SGM

  12. Thresholds applied in Hungary

  13. Result 7600 enterprises 766 000 households threshold 830 000 units

  14. The main characteristics of the households 60 % produce for family consumption 10 % produce for market 30 % produce for family consumption and market

  15. Are the households farms in economic terms ?

  16. Conclusion Agricultural statistics must • be in line with the users’ needs • follow the changes • fulfil the information needs of SNA,EAA • be comparable (time, methodology, specific features) • be cheep, efficient

  17. Thank you very much for your attention

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