For the analysis I use SARS revenue collection data obtained from the National Treasury website. They break taxable income and assessed taxes by 24 income categories. The data is slightly dated - the most updated is in 2012. Some basic summary statistics of the data show that:
- Tax as a percent of taxable income is about 20.2% - implying that this is the average tax rate
- There were 14 million (m) taxpayers
- Only 5.8m were liable to pay income tax
- There are about 52m South Africans (See StatsSA 2011 census)
- Of the 52m, roughly 34m are of working age (although it is from ages 15-65)
- This means that about 17% of the working age population contribute to income tax
Given the high unemployment rate it is no surprise that only a small percentage of people contribute to income tax. We can calculate the effective tax rate of the income groups (this is plotted below). It
is clear that there are two tax slopes: R60,000 - R150,000 and one from
R150,001-R5 million and above. This does
not correspond to the hump-shaped statutory tax rate schedule. This is
interesting for two reasons: i.) that some people earn additional income other
than salaries and wages such as dividends and interest that cements these
linear slopes, or ii.) it could mean that there is the possibility to introduce
additional tax thresholds (this often over-complicates the tax system).
We want to compare these rates to the proportion of total
revenue collected by income group and analyse how this stacks up to the
proportion of tax payers. We see that the majority of income is collected from
people who earn R150,000 and above. This corresponds to the number of tax
payers in that income category (the number of tax payers above R1.2 million
decreases significantly). About 86% of total revenue collected comes from the
wealthy 30% of people - meaning that 70% of people only contribute about 14% of
income tax revenue collected.
Just
to see how unequal the tax distribution is we calculate the Gini coefficient. A
measure of 1 means absolute inequality and a measure of 0 implies absolute
equality. We compare taxable income with tax assessed (see Figure below). There
is a more unequal distribution of collecting taxes compared to taxable income
with a Gini of 0.652 vs. 0.558. A heavier weight from on the 50th to 70th
percentile vs. what they actually earn. This does not imply that these people
pay more than what they should (how much each should pay is a philosophical and
economic question left for a later blog entry). It means that there is a decent
sized middle-class that pays taxes.
But just how much additional tax can the government collect from simply raising tax rates? It is very difficult to get a decent estimate. If there are no adverse behavioural responses to an increase in tax rates then the calculation is simply mechanical, i.e. take the lump sum amount add the amount of revenue above the threshold times the rate. Unfortunately there are many behavioural effects of taxes. People may not work as hard as they used to (despite the same working hours), lower income households might stop working altogether if they are able to receive better benefits from being unemployed.
In the next post we will look at some of these effects and try to arrive at preliminary conclusions.
For now it suffices to know that the tax burden is disproportionately higher than on a small number of individuals. We know that tax inequality is slightly higher than income inequality (the middle class pay a slightly higher share of taxes compared to their incomes relative to the rest of the income distribution from the SARS sample data).