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Index numbers: meaning, uses, types and steps in construction

Business Statistics · Unit V · Topic 13 of 15 · 5 min read

Definition and features of index numbers, their uses and limitations, kinds (price, quantity, value; simple and weighted), the steps and problems in construction, and the simple aggregative and simple average of relatives methods worked on paper data.

On this page
  1. 1. Meaning and definitions
  2. 2. Uses (importance)
  3. 3. Kinds
  4. 4. Steps in construction (January 2026 essay)
  5. 5. Simple (unweighted) methods: worked
  6. 6. Problems and limitations
  7. How this is examined
Cases checked to exist. Read the judgment before quoting a holding.

Every case cited here has been checked to exist — the citation resolves and names the right parties. The propositions attributed to each case have not been verified line by line against the judgment. Case names link through to the full judgment: read it before quoting a holding in an examination answer, and never carry a proposition from notes into court on trust.

The examinable core. Unit V offers a ten-mark essay as the alternative to the Fisher problem: “Define index number; explain the steps in construction” (January 2026), “uses of index numbers” (June 2025), “importance and limitations” (January 2025). Learn one definition, a list of six uses, the seven steps and five limitations.

1. Meaning and definitions

An index number is a statistical device that measures the relative change in a variable or group of related variables over time, place or other characteristic. It is expressed as a percentage of a base, the base being 100.

Features: expressed in percentages (base = 100, but the % sign is dropped); a measure of relative change, so items in different units (rice per kg, cloth per metre) can be combined; a special kind of average; measures changes that cannot be observed directly (the “general price level” or “cost of living”).

2. Uses (importance)

  1. Economic barometers: they measure the pulse of the economy — price levels, industrial production, share prices.
  2. Measure the purchasing power of money and convert nominal values into real values (deflating): real wage = money wage ÷ CPI × 100.
  3. Wage and dearness-allowance fixation: consumer price indices are used to adjust wages, pensions and allowances.
  4. Policy-making: government and the central bank watch price indices to decide fiscal and monetary measures; the RBI’s inflation target under the RBI Act, 1934 is set in terms of consumer price inflation.
  5. Business decisions: forecasting demand, fixing prices, studying trends.
  6. Comparison of places and periods (cost of living in two cities).
  7. Indexation in law and contracts: escalation clauses in long contracts, and the cost inflation index for capital gains under income-tax law.

3. Kinds

By method: unweighted (simple) — simple aggregative and simple average of price relatives; weighted — weighted aggregative (Laspeyres, Paasche, Fisher and others) and weighted average of relatives (family budget method). By base: fixed base and chain base (each year on the previous year).

4. Steps in construction (January 2026 essay)

  1. Define the purpose. A cost-of-living index for factory workers needs different items, prices and weights from a wholesale index.
  2. Select the base period. It should be a normal year, free from war, famine, boom or depression, and not too distant. The chain base is an alternative.
  3. Select the commodities. Representative items, of standard quality, in reasonable number, consumed by the group concerned.
  4. Collect prices. From representative markets and sources, retail or wholesale as the purpose requires, at regular intervals.
  5. Choose the average. Arithmetic mean is common; the geometric mean is theoretically better (it satisfies the time reversal test for relatives).
  6. Assign weights. Items differ in importance (rice matters more than salt); weights may be quantities or expenditure shares.
  7. Select the formula. Laspeyres, Paasche or Fisher according to data and purpose; Fisher is the “ideal”.

5. Simple (unweighted) methods: worked

Using the January 2026 prices (base and current) for A, B, C, D: p0 = 12, 4, 9, 12; p1 = 20, 4, 12, 24.

Simple aggregative: P01 = Σp1 / Σp0 × 100 = 60/37 × 100 = 162.16.

Simple average of price relatives: P01 = Σ(p1/p0 × 100) / n.

Itemp0p1Relative p1/p0 × 100
A1220166.67
B44100.00
C912133.33
D1224200.00
Total3760600.00

P01 = 600 / 4 = 150.00.

The two results differ because the simple aggregative is dominated by high-priced items and by the units in which prices are quoted. Neither allows for the importance of the items; that is why weighted indices (next note) are preferred.

6. Problems and limitations

Tests of adequacy (Irving Fisher): unit test (the index must not depend on the units of price); time reversal test; factor reversal test; circular test. The TRT and FRT are worked in the next note.

Trap. “Steps” and “problems” in construction are the same list seen from two sides: for each step, the problem is how to make that choice well. A ten-mark answer can take each step and add one line on its difficulty.

How this is examined

“Define index number; explain the different steps involved in the construction of index number” (January 2026); “What is index number? Explain the uses” (June 2025); “Explain the importance and limitations” (January 2025); “What is index number? Explain the advantages” (August 2024, six marks); “Explain the types of index number” (January 2025, six marks).

Now try the real questions: Business Statistics past question papers.