Chapter 2 according to need, it does not give much information about the adequacy of the food supply to meet needs under the existing income and asset distribution. In other words it does not give information on actual access. / Food Consumption Data taken from expenditure or budget data are a better measure of potential access to food. However, they often are weak in their coverage of non-monetary access to food, through social institutions and obligations or through subsistence production. They may only cover some of the sources of food entitlement. The resulting figures have to be compared to RNIs to assess adequacy. This may be a reasonable procedure if the food consumption data are aggregated over the whole survey, or a significant subgroup of the survey, but the more disaggregated the data, the more dubious a comparison with an RNI figure based on average requirements. In other words, an individual household may consume less food than average because it has more small children or elderly people, or the family is genetically small in body weight, or it has lower requirements for other reasons. Equally a household which appears to meet the average RNI for the country may be deficit because of higher physical activity or the age composition of the household. Adjustments can be made to take some of these factors into account, but potential error can still be high. If Lower RNIs have been calculated (see section 1.4) then they can be used to identify with reasonable certainty a minimum of families which are deficient in nutrient intake, but this will only identify the worst off households. There will certainly be other deficient households which will be above the minimum threshold but still heavily deficient. Food Intake estimates, whether through recall or weighed intake, usually give a more accurate estimate of actual food intake than food consumption data. However, they are subject to the same problem of comparison with average standards or RNIs. Unless intake figures are collected along with other socio-economic information, it can be difficult to identify the sources of entitlement which determine the household's food intake. An informed policy response has to be able to identify the underlying cause of any food security problem. Anthropometric Data give a clearer indication of problems of poor nutritional status. The data are somewhat easier to interpret as to the existence of a problem, but do not indicate whether nutrient or food deficiencies are the major cause. Unless the survey has been carefully planned to assist policy formulation, there may be insufficient socio-economic data collected along with the nutritional data to clarify the links with the food system.