In 2018, Filipino families earned PhP 313 thousand, on average. In comparison, their expenditure for the same year was
Adjusting for the inflation between 2015 and 2018, at 2012 prices, the average annual family income in 2018 would be valued at
The average family income ranged from
Across regions, families in the National Capital Region (NCR) had the highest average annual family income at
The Gini coefficient of the income of families at the national level was estimated at 0.4267 in 2018. Across regions, the coefficient ranged from
In terms of the pattern of spending among Filipino families, the bottom
(Sgd.) CLAIRE DENNIS S. MAPA, Ph.D.
National Statistician and Civil Registrar General
- The 2018 Family Income and Expenditure Survey (FIES) is a nationwide survey of households undertaken every three years. It is the main source of data on family income and expenditure, which include among others, levels of consumption by item of expenditure as well as sources of income in cash and in kind. The results of FIES provide information on the levels of living and disparities in income of Filipino families, as well as their spending patterns.
- The 2018 FIES enumeration was conducted twice – the first visit was in
July 2018covering the first semester (January to June 2018)as the reference period; the second visit was in January 2019with the second semester (July to December 2018)as reference period. The same set of questions is asked for both visits.
- Starting 2018 FIES, the survey adopted the 2013 Master Sample Design, with a sample size of approximately 180,000 sample households.
- The number of families for the 2015 and 2018 FIES was estimated using the household population projections-based on the household population counts from the 2015 Census of Population (POPCEN 2015).
- Starting 2012 FIES, the survey adopted the 2009 Philippine Classification of Individual Consumption According to Purpose (PCOICOP). The 2009 PCOICOP is the first standard classification of individual consumption expenditure in the country.
- The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of the same size and design.