Currently, RiceStats hosts farm household survey data collected in the Philippines by the International Rice Research Institute (IRRI) since 1965. This may be expanded to cover primary data collected by IRRI in other countries, as well as, secondary data from national statistical agencies from various countries and international organizations to become truly a one-stop accessible database on socio-economic data on rice. This database is an important resource for agricultural and social science researchers, academia, policymakers, donors, and investors.
Yield Gap
The yield gap or exploitable yield gap indicator measures the gap between the attainable yield and the actual farm yield per hectare. A decreasing trend over time is considered positive.
Attainable Yield
Attainable yield is measured by calculating the mean of the 90th percentile of farmers' yields (calculated from yields equal to and above the 90th percentile, Stuart et al., 2016).
Yield is measured in kilograms at harvest time (including the top decile of farmers' yields). The total harvest is weighed and divided by area in hectares. The indicator is reported as the mean value of all farmers.
Nitrogen use efficiency
It is the yield per kg of nitrogen (N) fertilizer that a farmer applies per cropping season. NUE is defined as the yield per unit input. NUE is calculated as the ratio of yield produced to nitrogen applied. Nitrogen input is estimated from fertilizer application thus will exclude natural sources of N, e.g. straw applied to the soil.
The elemental N will be calculated separately for each kind of fertilizer in each fertilizer addition per farmer. If there is more than one N fertilizer application per farmer and season, that will be added. Finally, all farmers will be averaged per nutrient, season, and year.
Phosphorous Use Efficiency and Potassium Use Efficiency
If data is available, nutrient use efficiency will also be calculated for phosphorous (P) and potassium (K) fertilizer applications. The same principle and formula as with N will apply to P, and K applications.
The indicator measures the number of diversified rice genotypes (rice varieties) per farmer in rice action sites in key countries in number of activities per farmer.
This indicator is calculated as the number of different rice varieties grown by each farmer. This indicator is calculated as the proportion of rice varieties cultivated in each farmer per ecosystem, season, and year.
There are 2 related indicators in this section, on one hand the pesticide use, and on the other, herbicide use.
This indicator is based on the average number of applications of each group (pesticides, and herbicides) per farmer.
The data will be first disaggregated per crop care group or activity i.e. insecticide, molluscicide, etc., and then it will be averaged for reporting purposes.
The indicator relates to the involvement in the decision-making on farm-related activities by women and men. The indicator will be composed of two parts: one, the decision making including farm input and output; and the second one evaluating decision making on-farm generated income.
Men’s decision-making will also be computed for comparison purposes. An increase in women’s decision-making, as well as a balanced proportion of decision-making by men and women, would be considered positive.
The indicator will be quantified from the answers based on a percentage of decision-making that women and men provide.