Efficient20 project aims to help farmers and foresters reduce their fuel usage and one part of it deals with collecting fuel consumption measurement related to tractor's use and gathered them in a database. This report presents some analyses using these records collected in several typical agricultural and forestry operations. Two indicators were proposed to characterize the tractor efficiency: flow fuel consumption is used to establish fuel need with regard to the cultivated area. It is associated with the productivity indicator dealing with the corresponding time budget for a tractor's activities. The database content is firstly described, giving a picture about the farm, tractor fleet, methods of measurement and operations. The median European farm has 120 ha and consumes about 15,000 litres of fuel per years. Using multivariate analysis, it is shown that the measurement method affects efficiency indicators and that a "`by implement"' analysis is the best way to explain the variance of records. Using examples, we discuss the difficulties in defining a reference case to quantify the effect of fuel saving techniques, called hereafter "`eco-solution"' effects, on fuel consumption. Therefore, "`Eco-solution"' tests are added to the reference sample and are used for analyzing setting effects on fuel consumption. Then, reference fuel consumption and productivities are computed for a large list of the implements. Details describing the usual practice are given for the implements for which many fuel measurements have been recorded. This gives a tool for advisers to discuss about the representativeness of field measurements and comparative tests. Then, comparisons are carried on to extract the influence of settings on fuel consumption and productivity. This allows quantifying impacts of soil, engine power or speed on the fuel and time budget during tractor's use. Results also give some quantitative elements about the increase of fuel costs and their related productivity gain when engine power is increased. At the end, an annual balance of fuel and time budget is presented which shows how to use results for assessing the benefits of some logistics "`eco-driving"' solutions. The transport effects are presented for light and heavy works, quantifying fuel and fuel increase with longer distances. This huge database about the European agricultural practices for mechanized work is designed to study and optimize the operational parameter settings during a tractor's activities but further work is need to facilitate data feeding and increase accuracy of reporting.