Food poverty is defined as the inability to access good quality, affordabl e and nutritious food. One of its measures is food poverty incidence or subsistence incidence which is defined as the proportion of households whose annual income is below the computed food threshold to the total number of households. In this paper, estimates of food poverty incidence at the municipality level obtained using three estimation techniques are being presented. One of the estimation techniques used is the direct estimation with the use of the 2000 Family Income and Expenditure Survey (FIES) data
set. The other two indirect estimation techniques, specifically the regression -synthetic and the empirical best linear unbiased prediction (EBLUP), use the variables from 2000 Census on Population and Housing and other administrative data, in addition to the direct estimates in estimating the municipal food poverty incidence. The direct estimates of the municipality-level food poverty incidence range from 0 to 100%. On the average the municipality-level food poverty incidence in the Philippines is equal to 12.52%. There were 253 direct estimates equal to zero while there is only municipal estimate with 100% food poverty incidence 1 estimate equal to 100. The direct estimates were found to be unreliable since only 7 estimates have coefficients of variation of at most 10 percent. In the regression-synthetic estimation procedure, the resulting predicting model has 4 predictors, namely; municipal proportion of (1) households headed by male married person who is elementary undergraduate; (2) households with members aged between 1 and 6 years; (3) housing units with roof made of light materials; and (4) barangays with electricity. This model resulted reliable set of estimates. On the other hand, the EBLUP procedure resulted to estimates that are even less reliable than the
direct estimates.