A fuelwood inventory

This study was designed to give information about fuel-wood consumption by species, ownership, and the way it is selected for the entire country. The design was a two-stage sampling from a list of individuals. The list was prepared from the information we selected in advance from a form sent to and completed by the local forest districts. In this form, (see Table 1) were listed all the villages and towns in which the inhabitants use fuel-wood for heating or cooling purposes. In this list was also the information of the way of selection of the fuel-wood. These villages and towns were sorted by elevation and number of households. Six classes for elevation and five classes of the number of households were determined (see Table 2). A random sampling was drawn for each stratum proportional to the number of villages and towns they placed in each of the stratum (about 1/10th) using random numbers. This sample was the first stage. From each village or town included in the fist stage sample, a number of households was determined randomly also using the random numbers. The number of households for each village or town was determined so that the censor spent one or more whole working days in the village. This was the second stage sample. The amount of fuel-wood and the code number by ownership, species and way of selection were recorded in a form has been represented in Table 3. The formulae used for estimating total volume, variance and consequently the confident - limits of the estimation were, 1, 2, 3, 4 and 5. (see also relative study). Table 4 gives the quantities of fuel-wood by ownership, species and way of selecting it and their percentages. Also the subtotals by ownership, species, and way of selection, their percentages and the error percent. Table 5 gives the quantities of fuel-wood by species, their percentages and error percent. Table 6 gives the quantities of fuel-wood in round of thousands of tons and their percentages by owership and species. In Table 7 is the analysis of variances by altitude and villages which shows that only the stratification by altitude is high significant