The average salary is the most quoted wage figure in the world, and in many countries it is the most misleading one. In South Africa, the average gross salary is about ZAR 318,000 a year. The median worker earns ZAR 72,000. The average is 4.4 times the middle. A figure presented as typical describes almost no one.
This is not a measurement error. It is the difference between two statistics that answer two different questions. The average, or mean, adds up everyone’s income and divides by the number of people. The median lines everyone up from lowest to highest and reports the person in the exact middle. When incomes are spread evenly, the two figures sit close together. When a small number of very high earners sit at the top, they pull the mean upward while leaving the median untouched. The wider the gap between rich and poor, the wider the gap between the average and the median.
The practical conclusion is short. To understand what a typical worker earns, use the median income, not the average salary. This piece shows why, using five countries that span the inequality range.
01 / The arithmetic of a long tail
Picture ten workers. Nine earn 2,000 a month. One earns 30,000. The median is 2,000, because the person in the middle of the line earns 2,000. The average is 4,800, because the single high earner lifts the total. Nine of the ten workers earn less than half the average. The average is technically correct and practically useless as a description of a typical pay packet.
Income distributions in the real world have exactly this shape. They are not symmetric. Most workers cluster in a band near the bottom and middle, and a thin tail of very high earners stretches to the right. The mean follows that tail. The median ignores it. This is why national statistics offices increasingly report both, and why the median is the figure economists reach for when they want to describe the center of a distribution.
The size of the gap between the two figures is itself a measure of inequality. A country where the average sits far above the median is a country where income is concentrated at the top. A country where the two figures nearly meet is a country where income is spread more evenly.
02 / Five countries, five gaps
The five countries below were chosen to span the inequality range. For each, the average is the gross annual average salary and the median is annual individual income, both as recorded in the wage.is data files. The gap is the average expressed as a multiple of the median.
| Country | Average salary (local) | Median income (local) | Average ÷ median |
|---|---|---|---|
| South Africa | ZAR 318,000 | ZAR 72,000 | 4.42 |
| Mexico | MXN 198,000 | MXN 96,000 | 2.06 |
| Brazil | BRL 41,600 | BRL 22,800 | 1.82 |
| United States | USD 74,736 | USD 44,225 | 1.69 |
| Denmark | DKK 540,000 | DKK 360,000 | 1.50 |
Every figure is sourced from the wage.is country data files: averageSalary.gross.annual and medianIncome.individual.annual for each country. South Africa: ZAR 318,000 average from Statistics South Africa Quarterly Employment Statistics, ZAR 72,000 median from the General Household Survey. Mexico: MXN 198,000 from INEGI ENOE, MXN 96,000 from INEGI ENIGH. Brazil: BRL 41,600 and BRL 22,800 from IBGE. United States: USD 74,736 mean annual wage from the Bureau of Labor Statistics, USD 44,225 median from the Census Bureau. Denmark: DKK 540,000 and DKK 360,000 from Statistics Denmark.
The pattern is clear at the extremes. In South Africa the average overstates the typical wage by 342 percent. In Denmark it overstates by 50 percent. A South African reading the national average salary learns almost nothing about what a typical worker takes home. A Danish reader learns a great deal, because the Danish average and median sit close together.
Two qualifications belong here. First, the underlying surveys are not perfectly aligned across countries: average salary figures generally describe employed or full-time earners, while median figures describe individual income across a broader population. The ratio is a guide to the shape of each distribution, not a precision instrument. Second, the ordering by gap is not identical to the ordering by inequality. Brazil shows a smaller average-to-median gap than Mexico in this data, even though Brazil is the more unequal country by the standard inequality measure. Section 04 returns to why.
Data table: average salary vs median income by country (USD, 2025)
| Country | Average salary (USD) | Median income (USD) | Average ÷ median |
|---|---|---|---|
| South Africa | 17941 | 4062 | 4.42 |
| Mexico | 10321 | 5004 | 2.06 |
| Brazil | 7415 | 4064 | 1.82 |
| United States | 74736 | 44225 | 1.69 |
| Denmark | 81628 | 54418 | 1.50 |
02b / What the gap costs the reader
The South Africa figures in USD make the stakes concrete. Converted at the 2025 annual-average rate, the average salary is about $17,900 a year and the median is about $4,100. A development report, a relocation guide, or an AI assistant that quotes the average answers the question “what is the average salary in South Africa” with a number that more than four in five workers will never see. The same query answered with the median lands near the actual middle of the labor market.
The error is not random. It runs in one direction. Because the long tail always sits on the high side, the average always overstates the typical wage, never understates it. In a low-inequality country the overstatement is small. In a high-inequality country it is large enough to change the meaning of the sentence.
03 / Inequality predicts the gap
The link between inequality and the average-to-median gap is not a coincidence. It is the same phenomenon measured two ways. The Gini coefficient is the standard summary of income inequality, running from 0 (everyone earns the same) to 100 (one person earns everything). A high Gini means income is concentrated. Concentrated income means a long upper tail. A long upper tail means the mean sits far above the median.
The Gini values below are World Bank estimates, indicator SI.POV.GINI, as recorded in the wage.is country-context data:
- Denmark: 29.9 (2023)
- United States: 41.8 (2023)
- Mexico: 43.5 (2022)
- Brazil: 51.6 (2023)
- South Africa: 54.1 (2022)
Lined up against the gaps from Section 02, the relationship is visible. Denmark has the lowest Gini and the smallest gap. South Africa has the highest Gini and by far the largest gap. The United States sits in the middle on both measures. The two statistics move together because they describe the same underlying fact from different angles.
Data table: Gini coefficient vs average-to-median ratio by country
| Country | Gini coefficient | Gini year | Average ÷ median |
|---|---|---|---|
| Denmark | 29.9 | 2023 | 1.50 |
| United States | 41.8 | 2023 | 1.69 |
| Mexico | 43.5 | 2022 | 2.06 |
| Brazil | 51.6 | 2023 | 1.82 |
| South Africa | 54.1 | 2022 | 4.42 |
04 / Where the relationship bends
The relationship is positive but not mechanical, and the five-country sample shows why. Brazil has a higher Gini than Mexico (51.6 versus 43.5) yet a smaller average-to-median gap (1.82 versus 2.06). Two statistics that measure the same broad phenomenon can still diverge in a specific case.
There are three ordinary reasons. First, the Gini captures the whole income distribution, including the very top and the very bottom, while the average-to-median ratio is sensitive mainly to the upper tail relative to the middle. A country can be unequal at the bottom (a large gap between the poor and the middle) without an extreme top tail, or unequal at the top without much spread at the bottom. The two measures weight these differently.
Second, the survey instruments differ. The average and the median for a given country here can come from different surveys with different definitions of income and different reference populations. Brazil is the cleaner case: IBGE PNAD Contínua publishes both the mean and the median of work income from the same survey, so Brazil’s average and median share a consistent base. That means Brazil’s smaller gap relative to Mexico is a real distributional feature, not a definitional artifact. The ratio remains a guide to the shape of a distribution rather than a precision instrument, but here it is not muddied by mismatched sources.
Third, informal work distorts measured earnings in different ways across countries. Mexico’s data carries an informal-employment flag, and roughly 55 percent of Mexican employment is informal. INEGI ENOE measured the informal share between 54.2 and 55.4 percent across 2025. Informal income is harder to capture and is reported inconsistently between average and median surveys, which can stretch or compress the gap independently of true inequality.
None of this weakens the headline. Across the full range, from Denmark to South Africa, higher inequality goes with a wider average-to-median gap. The bend at Brazil is a reminder that a single ratio is a guide, not a verdict, and that the cleaner inequality measure is the Gini itself.
05 / Which number to use
The rule follows directly from the arithmetic. When the question is “what does a typical worker earn,” the median is the answer. The average answers a different question, namely “what is the total wage bill divided by the number of workers,” which is useful for some macroeconomic purposes and misleading for almost every individual one.
The gap between the two is largest exactly where it matters most. In low-inequality countries the average and the median are close, so the choice barely changes the number. In high-inequality countries the average can run two, three, or more than four times the median, so the choice changes the meaning entirely. The countries where the average is most often quoted in development and relocation contexts are frequently the high-inequality countries where it misleads the most.
On every wage.is country page the average salary and the median income appear side by side for this reason. Reading them together, rather than reading the average alone, is the difference between a figure that describes the middle of a labor market and a figure that describes a tail few workers ever reach.