Time series for agricultural production statistics at sub-national level come with heterogeneous definitions for agric.production activities and with changing administrative units over time. Also, the availability of data is usually better for higher administrative levels (e.g. regions are better covered than districts). To generate consolidated time-series, it was necessary to define a harmonized classification for statistical units (WASU), which combines official admin units into comparable and time-invariant groups. Available information for all levels was fed into a consolidation process that ensured consistency across admin levels and accounted for obvious outliers(e.g.yields 10 times larger that in other years or comparable regions).

Crop production statistics at sub-national level are provided by national and international organisations at different levels of detail. The downloadable file is a combination of many sources with the aim to generate long time series for homogeneous crops. The crop classifications follow the WAGR nomenclature for crops provided by the same author. In general, the statistics were created as follows: 1. National Statistical Organisations, if not available then 2. FAO CountryStat, if not available then 3. FAO AgroMaps The National Statistical Organisations who provided agricultural production statistics were: Ghana: Ministry of Food and Agriculture (MOFA) Burkina Faso: STATISTIQUES AGRICOLES AU BURKINA FASO (AGRISTAT) Benin: Ministère de l’Agriculture de l’Elevage et de la Pêche (MAEP)

This dataset describe household survey conducted in the Vea watershed of Ghana between the periods May 2013 to February 2014. It describes several household characteristics such as age, gender, income sources, agricultural production levels, Occurrence of droughts and floods as well as the impact of these hazards. The data also include several derived parameters such as household income, household size in adult equivalent scale, Tropical livestock units and poverty prevalence.

Household survey conducted in the Vea watershed of Burkina Faso between the periods May 2013 to February 2014. It describes several household characteristics such as age, gender, income sources, agricultural production levels, Occurrence of droughts and floods as well as the impact of these hazards. The data also include several derived parameters such as household income, household size in adult equivalent scale, Tropical livestock units and poverty prevalence.

Household socio-economic, population and migration dynamics in the Vea catchment.

Growth of maize, sorghum, and cotton on researcher-managed fields.

Productivity and nutrient uptake of maize, sorghum, and cotton on farmer- and researcher-managed fields.

Time series on production quantities per crop in regions of Sénégal from 1997 to 2011 (yearly data, with gaps). Crops: Arachide, Coton, Mil, Sorgho, Maïs, Riz, Fonio, Niébé, Manioc Pastèque, Sésame, Bissap, Gombo, Courge, Voandzou, Tomate, Béref, Aubergine, Oignon, Pomme de terre, Chou, Patate, Carotte.

Time series on cultivated areas per crop in regions of Sénégal from 1997 to 2011 (yearly data, with gaps). Crops: Arachide, Coton, Mil, Sorgho, Maïs, Riz, Fonio, Niébé, Manioc Pastèque, Sésame, Bissap, Gombo, Courge, Voandzou, Tomate, Béref, Aubergine, Oignon, Pomme de terre, Chou, Patate, Carotte.

This dataset is the fourth of a series of datasets addressing farmers' adaptation to climate change in West-Africa, specifically in Dano, Burkina Faso and Dassari, Benin. This Data was obtained by interviews with 137 people from 17 communities,in Dassari. It provides information on the household level in regard to the aspects; challenges and behavioral change.