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The FARM HOUSEHOLD SURVEY DATABASE is a collection of farm level data sets on rice productivity, fertilizer and pesticide use, labor inputs, prices, income, demographics, farm characteristics, and other related data on rice production in farmer's fields. It is a rich collection of actual farm and household level data collected through personal farmer interviews, farm record keeping, and periodic monitoring of farm activities from various sites in different rice growing countries of Asia. The data collection was done by the International Rice Research Institute's Sustainable Impact Through Rice based Systems Department (formerly Agri-food Policy Platform and Social Sciences Division) in collaboration with NARES partners in various parts of the globe. These data sets are part of the output of the various research projects undertaken by the SIRS staff and hence made available to interested users.
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Data Collection Training in Myanmar, 2016(Photo courtesy of Dehner M. De Leon)
Panel data is a type of data that contains observations of the same variables over multiple time periods for the same individuals or entities. It is a combination of cross-sectional and time-series data.
Farm Household Survey in Myanmar, 2016(Photo courtesy of Dehner M. De Leon)
Single survey data is data collected from a single survey from a specific project or field of study, as opposed to panel data, single survey data are valuable tool for researchers.
RICE SURVEY DASHBOARD
Welcome to the Rice Survey dashboard! This dashboard consists of data derived from the International Rice Research Institute's Rice Farm Household Surveys from various projects collectively covering some of the key indicators in rice farming from a Farmer's perspective. Data such as rice productivity, fertilizer and pesticide use, labor inputs, prices, income, demographics, farm characteristics, and other related data on rice production in farmer's fields are available to help visualize your research.
Below are just a few visualizations derived from the database. You can download the datasets and visualize your own by visiting the Panel & Single Survey Database portal!
COMMON INDICATORS IN RICE FARMING
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.
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 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).
Sources: Laguna Loop Survey 1978-2008, Central Luzon Loop Surveys 1974-2012, GRiSP Philippines Area Based Farm Household Surveys 2014, 2016
GENETIC DIVERSITY
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.
OTHER INDICATORS
Fertilizer Application
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.
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