AGRICULTURAL HOUSEHOLD SURVEY 2017 AND SEASONAL AGRICULTURAL SURVEY

AGRICULTURAL HOUSEHOLD SURVEY 2017 AND SEASONAL AGRICULTURAL SURVEY 2018 HIGHLIGHTS National Institute of Statistics of Rwanda (NISR) By Eric BURAMBA Team Leader/ Agriculture and environmental statistics 21 st February 2018

Outlines • Context • Key Findings • Conclusion

Context Needs for agriculture statistics Agriculture statistics are useful in : Ø Monitoring progress on agriculture programs and policies in Rwanda. Ø Assist in addressing key agricultural issues Ø Informing policy makers and other stakeholders and allow more effective identification of priority intervention needs. Ø Estimation of food balance and plan for food requirements. Ø Estimation of the gross domestic product (GDP) and the contribution of the sector in the national economy. • Major users of Agriculture statistics: MINAGRI , RAB and NAEB, National accounts, National and international agencies , researchers, private sector, …

SEASONAL AGRICULTURAL SURVEY(SAS) • Before 2013, Agricultural statistics were provided by MINAGRI through Crop Assessment Surveys(CAS) • Since 2013, NISR in collaboration with the (MINAGRI) conducts Seasonal agricultural survey done every agricultural season( A, B and C) • This survey aims at providing main information on land use, cultivated area, crop yield, production, and other agricultural items

AGRICULTURAL HOUSEHOLD SURVEY 2017 • This is the first agricultural household survey done by NISR. • The survey aimed at capturing the conditions of agricultural households of the country in the context of agriculture policies and programs of Government of Rwanda. • It was designed to collect information on various aspects related to: Ø Socio-economic characteristics of agricultural households, Ø Households cultivating different crop and use of agricultural production Ø Awareness of agriculture technology, Ø Government policies and programs Ø Access to inputs and finance, Ø Ownership of livestock, livestock number and Ø Other related agricultural items.

Methodology • The NISR Multiple sample frame(MSF) updated in 2016 was used for selecting the sample segments. • Open segment approach was used collect information on livestock • 960 segments were sampled for enumeration of plots within each segment in SAS • In addition to SAS segments, 600 segments from village stratum were added totalizing 1560 segments that were sampled for enumeration of households within each segment. • During AHS 2017, Among 23, 419 households that were listed, only 16, 057 households practiced agricultural activities and all of them have been interviewed

Key findings of AHS 2017

Agri. HHs growing different crops(%) 88. 3 A 2017 82. 3 B 2017 50. 9 ts ui at he W 0. 50. 6 Fr 1. 02. 7 2. 62. 3 a ice yr dd Pa Ta Ya m sa nd ta 2. 22. 5 ro es bl m hu 3. 11. 5 Pe 3. 13. 7 ge Gr ou 4. 6 So rg nu t 5. 76. 9 nd n 7. 38. 6 ea po ta to na na Ba ss av a Ca 9. 69. 9 Iri sh Sw ee tp ot at o ze M ai an s 14. 1 Be 23. 3 20. 3 19. 2 Ve 24. 9 23. 7 So yb 28. 3

Agriculture inputs use % of agri. HHs who use improved seeds % of agri. HHs who used pesticides % of agri. HHs who used inorganic fertilizer % of agri. HHs who used organic fertilizer Season B 2017 Agricultural practices 31. 7 23. 9 17. 3 23. 7 31. 6 62. 7 79. 3 Season A 2017

Agriculture programs 44. 4 45. 0 40. 0 35. 0 30. 0 25. 0 13. 0 20. 0 15. 0 4. 2 10. 0 5. 0 0. 0 Agri HHs. belonging to Twigire muhinzi group Agri HHs. who reared cow from GIRINKA Program Agri HHs. who had a kitchen garden Agri HHs. who have got contract farming during 2017 agricultural year

Agri. HHs rearing different types of livestock(%) • 1. 7 million of households reared at least one livestock 70. 0 60. 0 50. 0 61. 0 50. 4 47. 3 53. 0 53. 6 51. 3 45. 5 33. 7 40. 0 31. 9 30. 6 24. 1 30. 0 22. 1 18. 3 15. 0 15. 713. 9 10. 0 14. 0 1. 7 1. 8 0. 0 Cattle goats Hen RPHC 4 (2012) pigs EICV 4(2014) Rabbits AHS 2017 sheep Other poultry

Livestock numbers

Annual crop production trend in MT (000 s) for CIP crops

Conclusion • NISR will continue to work in collaboration with MINAGRI as well as other stakeholders to produce agriculture data • NISR started to prepare upgraded SAS 2020

Source of SAS and AHS reports, and microdata SAS and AHS reports are available on NISR website: http: //statistics. gov. rw/ Available reports • SAS 2013 -2018 http: //statistics. gov. rw/datasource/seasonal-agricultural-survey • AHS 2017 http: //statistics. gov. rw/publication/agricultural-household-survey-2017 Microdata SAS 2017: http: //microdata. statistics. gov. rw/index. php/catalog/88 SAS 2018: http: //microdata. statistics. gov. rw/index. php/catalog/86 AHS 2017: To be uploaded soon

Thank You