Median Calculation in Economics
You already know the median from everyday life. If five friends earn ₹10, ₹15, ₹20, ₹25, and ₹100 per hour, the "middle" earner gets ₹20. That's the median. The average (mean) would be ₹34, which is pulled up by the one high earner and doesn't represent the group well. The median tells you what a typical person earns, not what the total divided equally gives.
The Precise Meaning
The median is the value that splits a sorted dataset into two equal halves. Half the observations lie below it, half above. For ungrouped data, you arrange all values in ascending order. If the number of observations (n) is odd, the median is the 2n+1th value. If n is even, the median is the average of the 2nth and 2n+1th values.
For grouped data (like "income between ₹10,000–₹20,000: 50 people"), you cannot see individual values. You need a formula.
Median=L+f2N−cf×h
Where:
- L = lower limit of the median class (the class where the cumulative frequency first reaches or exceeds N/2)
- N = total frequency (total number of observations)
- cf = cumulative frequency of the class before the median class
- f = frequency of the median class
- h = class width (size of the class interval)
Why This Formula Works
Imagine a histogram of incomes. The total area under the bars represents all N people. You want the vertical line that splits this area exactly in half. The median class is the bar that contains this halfway point. L is where that bar starts. 2N−cf tells you how many more people you need to count within this bar to reach the halfway mark. Dividing by f gives the fraction of the bar's width you must go, and multiplying by h converts that fraction into actual units of income.
Why It Matters in Economics
The median is crucial because income and wealth distributions are almost always skewed — a few people earn a lot, most earn less. The mean gets distorted by the very rich. When you read "the median household income in India is ₹X," that figure tells you what the person exactly in the middle earns. It is a better measure of the typical economic condition than the average.
In economics, always ask: "Is the mean or the median more meaningful here?" For income, wealth, or expenditure data, the median is usually the honest answer. The mean is useful for totals (like total GDP per capita), but the median tells you about the person in the middle.
A Worked Example (Grouped Data)
Consider this income distribution:
| Income (₹) | Number of People |
|---|
| 0–10,000 | 20 |