combinations of variations in income and frequency effects, or their movements from t-1 to t, the P measure will indicate the specific weights of the effects and the size reached by income inequality.6.1- Distribution of income in Brazil and income and frequency movements6.1.1 Initial ConsiderationsThe research underlying this text aimed to analyze the evolution of income distribution in Brazil from 1960 to 2010, and throughout the intermediate decades. In fact, the proposal was to review this evolution before applying the methodology developed previously[24] and reproduced here, in particular, highlighting distributions by educational levels.Measurements of inequality and income and frequency effects would be verified to see how changes in income ranges and frequency movements evolved respectively along income distributions in the long period of 50 years. Likewise, the aim was to identify and, if possible, measure the effects that education may or may not have caused on inequality. Moreover, a qualitative assessment of census data would be carried out.The Research Board of the Brazilian Institute of Geography and Statistics (IBGE) informed that it would not be possible to obtain all the desired information. It forwarded instructions, recommendations and a few limitations though. These guidelines, although opportune, thwarted the aim of the research to review the 50-year period according to its original purpose.The decision was made to use the information available at the time and draw from it as much information as possible to answer the research questions. Accordingly, the next sections will present the sources and information used and list and indicate the results found by applying the methodology.6.1.2- Sources and information usedThis research project drew from two basic sources, both from IBGE: demographic censuses and national household sample surveys (PNAD). For 1960, 1970 and 1980, information on individual earnings of persons aged 10 years and older were recovered from the authors doctoral thesis[25]. For 2000 and 2010[26], the references were the respective demographic censuses.For 2000 and 2010, the respective personal income distributions were obtained directly from IBGEs online database, with table 1.7.8 for 2000 and table 1.2.1 for 2010, Thus, with data from the three previous decades (1960, 1970 and 1980), it was possible to verify the trend of inequality and income and frequency movements in the half century covered by this research.For the first decade of 2000, the sources of information were the 2001 to 2011 PNAD. In these cases, the surveys included in the research were for individuals, families and households. The surveys presented income intervals, as well as respective average incomes, already calculated, which allowed the income shares of each frequency group to be obtained in order to perform the measurement of inequality measure P.6.1.3- A questionnaire on educationAs mentioned previously, the adherents of the Theory of Human Capital, whether followers or not, attach to education a prominent role in determining either the worsening or the improvement of the income inequality profile. The lack of official data from IBGE to assess this hypothesis, however, partly hampered this research objective. The methodological changes made by Institute prevented education and income comparisons between the years.Since the P inequality measure has a