Summary of Social Indicators - SIS

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About - 2018: special tabulations on population's living condiitons

Aiming at providing governments and civil society with structural information about the Brazilian living conditions, the IBGE Coordination of Population and Social Indicators, supported by the Department of Labor and Income has made available, on this page, a series of indicator tables that might be useful creating forecasts and monitoring public policies to fight against Covid-19.

Based on the indicators released by the Summary of Social Indicators, the content value of those tables is both in the indicator’s territorial disaggregation - in some cases,  reaching capital’s municipalities - and in the characterization of the population profile by gender, color or race, age groups, level of schooling, and others. Of a structural nature, those indicators were developed having 2018 as reference.

Aiming at covering the important dimensions of the Brazilian population living conditions, the indicators were divided in two table sections: a) indicators of labor and income and b) indicators of household and sanitation services. The age groups were disaggregated to make the analysis of the population over the 60 years old possible.

In general,  those indicators show the higher vulnerability of income, household and sanitation services in population that live in the North and Northeast Regions. Moreover, there is higher vulnerability oj job market in those regions, with high numbers of workers without a formal contract. These inequalities are also noticed when the disaggregation considers the population characteristics, with women, blacks and browns, children and, in some cases, the elderly as the most vulnerables; the population in rural areas also records high levels of vulnerability in the released indicators, and so does the household arrangements comprising women without a spouse and with children.

Gathered with the Tables there are some notes - technical, methodological and conventions - related to the construction of some indicators, as well as to the use of the information. It is worth highlighting that, as the information comes from the Continuous National Household Sample Survey (Continuous PNAD), coefficients of variation were calculated for those indicators.

Indicators calculated from sample surveys – as the Continuous PNAD - consist of an estimate of the real value of this indicator for the target population. For those estimates, it is possible measure their accuracy. The coefficient of variation, presented in percentage values, is defined as the ratio between standard error and the estimate. The closer the coefficient of variation is to the zero, the more accurate is the estimate.