what are quintiles 
a quintile is a statistical value of a data set that represents 20 of a given population so the first quintile represents the lowest fifth of the data 1 to 20 the second quintile represents the second fifth 21 to 40 and so on quintiles are used to create cut off points for a given population a government sponsored socio economic study may use quintiles to determine the maximum wealth a family could possess in order to belong to the lowest quintile of society this cut off point can then be used as a prerequisite for a family to receive a special government subsidy aimed to help society s less fortunate understanding quintilesa quintile is a type of quantile which is defined as equal sized segments of a population one of the most common metrics in statistical analysis the median is actually just the result of dividing a population into two quantiles a quintile is one of five values that divide a range of data into five equal parts each being 1 5th 20 percent of the range a population split into three equal parts is divided into tertiles while one split into fourths is divided into quartiles the larger the data set the easier it is to divide into greater quantiles economists often use quintiles to analyze very large data sets such as the population of the united states for example if we were to look at all of the closing prices for a specific stock for every day in the last year the top 20 of those prices would represent the upper quintile of the data the bottom 20 of those prices would represent the lower quintile of the data there would be three quintiles in between the upper and lower quintiles while the average of all the stock prices typically falls between the second and fourth quintiles which is the middle point of the data outliers on either the high end or the low end of the data may increase or decrease the average value as a result it is worth considering the distribution of the data points and accounting for any significant outliers when trying to understand the data and the average values common uses of quintilespoliticians invoke quintiles to illustrate the need for policy changes for example a politician who champions economic justice can divide the population into quintiles to illustrate how the top 20 of income earners controls what is in his opinion an unfairly large share of the wealth on the other end of the spectrum a politician calling for an end to progressive taxation might use quintiles to make the argument that the top 20 shoulder too large a share of the tax burden in the bell curve a controversial 1994 book on intelligence quotient iq the authors use quintiles throughout the text to illustrate their research showing that iq is heavily correlated with positive outcomes in life alternatives to quintilesfor certain populations the use of other methods to examine how the data is distributed makes more sense than using quintiles for smaller data sets the use of quartiles or tertiles helps prevent the data from being spread too thin comparing the mean or average of a data set to its median or the cutoff point where the data is divided into two quantiles reveals if the data is evenly distributed or if it is skewed toward the top or bottom a mean that is significantly higher than the median indicates the data is top heavy while a lower mean suggests the opposite 