The big idea: To improve development, you have to measure it — but how you measure it decides what 'development' even means. Different measures capture different things, so choosing a measure is a political choice, not just a technical one.
The oldest measure is GDP, but it only counts money. Newer measures try to capture health, education, poverty, inequality and the environment — because development is about more than growth.
- GDP per person — income only; simple but ignores health, rights and the environment.
- HDI — combines health, education and income into one score.
- MPI — measures poverty across many dimensions, not just money.
- Gini index and the Happy Planet Index — capture inequality and well-being-per-resource.
No measure is perfect: Every measure is a choice about what counts. GDP misses inequality and the environment; the HDI misses freedoms; happiness measures are hard to compare. So the smart approach is to use several measures together and know what each one leaves out.
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The clearest way to see why measurement matters is to compare GDP with a broader measure like the HDI — they can tell very different stories about the same country.
Case study — GDP vs the HDI: A country can have a high GDP — a big economy, often from oil or minerals — yet rank far lower on the HDI, because the wealth does not reach people as health, education and long life.
| Measure | What it looks at | Verdict on the same country |
|---|---|---|
| GDP | The size of the economy | Looks 'developed' |
| HDI | Health, education and long life | Looks much less developed |
| MPI | Deprivation across health, schooling and living standards | Reveals that many people are still deprived |
The lesson: Same country, three different verdicts — because each measure looks at something different.
This shows the exam point: relying on one method gives a partial, sometimes misleading picture. Governments can even choose the measure that flatters them, so knowing a measure's limits is essential.
The key point: How we measure development shapes what it means. GDP measures money; the HDI adds health and education; the MPI captures multidimensional poverty; the Gini shows inequality. Each is partial, so the fullest picture uses several measures and knows what each one misses.
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Are some measures better than others — and can development be measured fairly at all? A recurring debate. Weigh it.
Why one measure is never enough
GDP ignores who gets the money and the state of the environment; the HDI ignores inequality and freedoms; happiness measures are hard to compare across cultures — so any single method gives a partial picture that can be misused.
Why broader measures still matter
Even imperfect, measures like the HDI and MPI moved the world's idea of development beyond GDP, pushed governments to invest in health and education, and let us see progress that money alone hides.
Two perspectives — weigh them: One view: development measures are useful — they let us compare, track and pressure. Another view: they mislead — each leaves something out and can be gamed. Strong essays evaluate both, usually concluding measures are valuable when used together and read critically.
How measuring development comes up in Paper 2: A Paper 2 essay might ask about the limits of measuring development, or whether some measures beat others. Compare at least two measures (GDP vs HDI/MPI), show what each misses, then reach a judgement.
The 15-mark markband (what moves you up)
Bands 1–6
Mostly descriptive; perspectives not identified.
avoid
Bands 7–9
Clear knowledge, but perspectives identified, not explored.
7–9
Bands 10–12
Well-supported argument; perspectives explored.
10–12
Bands 13–15
Balanced, compelling; perspectives explored AND evaluated.
13–15
Discuss the limitations of measuring development with reference to one method you have studied.
Model answer plan
See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.
Common mistakes: 1. Describing a measure without its limits. Always show what it misses.
2. No real case. Use a GDP-vs-HDI gap.
3. Treating a measure as neutral fact. Every measure is a choice.
4. Listing measures and their limits. Choose one and defend it for a named country.
5. No judgement. Conclude on how development should be measured.