OFFICIAL STATISTICS SPECIALLY DESIGNED FOR INDIAN STATISTICAL SERVICE (ISS) AND OTHER GOVERNMENT & PRIVATE SECTOR STATISTICAL EXAMINATIONS
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When the news says "average monthly per capita consumption expenditure in rural India rose to ₹4,122 in 2023-24," that number comes from the Household Consumption Expenditure Survey (HCES). It is the main source for consumption, poverty and inequality statistics in India, and a regular in Indian Statistical Service (ISS) papers. It also appears in RBI, NABARD, SSC and university statistics exams. This guide gives you the concept, the methods and three exam-style questions.
1. What is the Household Consumption Expenditure Survey?
The HCES is a nationwide household survey that records how much households spend on food and non-food items. Its key output is the Monthly Per Capita Consumption Expenditure (MPCE), which is used to study living standards, food shares, inequality and poverty. Before 2022-23 the last full round was the 68th NSS round of 2011-12, so the two recent rounds (2022-23 and 2023-24) were among the most awaited data releases.
Why examiners love this topic
HCES connects survey design, recall periods, weighted averages and index number weights in one place. Consumption data also feed the base revision of the CPI and the estimate of private consumption in national accounts.
2. Who conducts HCES and how?
The National Statistics Office (NSO) under the Ministry of Statistics and Programme Implementation (MoSPI) conducts the survey. The HCES 2022-23 ran from August 2022 to July 2023 and covered roughly 2.6 lakh households. It was followed by HCES 2023-24 over the next year. Data are now collected on tablets using computer-assisted personal interviewing (CAPI).
Sample
A stratified multi-stage sample of rural and urban households, spread over a full year to capture seasonality.
Basket
A much wider item list than before: 405 items in HCES 2022-23, against 347 in the 68th round.
Visits
Each household is visited several times, with different item groups asked in each visit, so the burden on respondents is lower.
Exam tip
The design of HCES 2022-23 differs from the older NSS rounds, so the MPCE of 2011-12 is not strictly comparable with the newer figures. Also remember that MPCE is a nominal value in rupees. To compare living standards over time you must adjust for price changes.
3. The formula behind MPCE
MPCE is the total monthly consumption of a household divided by the number of persons in it. To get an average for a region, we take a person-weighted average, not a simple average of households.
Here Ch is the total monthly consumption expenditure of household h and nh is its size. With survey weights, both sums are weighted by the household multipliers. Households are then ranked by MPCE into fractile classes to study distribution.
- Strength: it adjusts for household size, so households of different sizes can be compared.
- Weakness: it treats all members equally, so it ignores economies of scale and differences in the needs of adults and children.
- Property to remember: the average MPCE of a region is a person-weighted average, so large households count for more.
4. Average MPCE at a glance (in ₹, without imputation)
Notice that urban MPCE is well above rural MPCE, and that the gap between the two has narrowed in ratio terms since 2011-12.
Average MPCE in rupees per person per month at current prices. The 2011-12 values use the MMRP method and are not strictly comparable with the newer rounds. Verify against the latest MoSPI release before quoting.
5. URP vs MRP vs MMRP: the comparison that keeps coming up
| Basis | URP | MRP | MMRP |
|---|---|---|---|
| Full name | Uniform Reference Period | Mixed Reference Period | Modified Mixed Reference Period |
| Recall for most items | 30 days | 30 days | 30 days |
| Low-frequency items (clothing, durables, education, institutional medical) | 30 days | 365 days | 365 days |
| Frequent food items (e.g. vegetables, fruits, eggs, meat) | 30 days | 30 days | 7 days |
| Result | Tends to give lower expenditure | Higher than URP | Highest, closest to actual spending |
6. Common mistakes students make
- Averaging the MPCE of households directly. The regional average is total consumption divided by total persons.
- Saying the survey is conducted by the Reserve Bank or the Planning Commission. It is NSO, MoSPI.
- Comparing the 2011-12 MPCE with the 2022-23 MPCE without noting the change in design and prices.
- Mixing up the recall periods of URP, MRP and MMRP.
- Treating MPCE as income. It measures consumption expenditure.
7. Three important questions on HCES and MPCE
Try each one on your own first, then tap the answer.
What is MPCE, and what is the difference between URP and MMRP in consumption surveys?
Show answer
MPCE is a household's total monthly consumption expenditure divided by its size. Under URP the recall period is 30 days for all items. Under MMRP a 365-day recall is used for low-frequency items (clothing, footwear, durables, education, institutional medical expenses), a 7-day recall for frequently consumed food items, and 30 days for the rest. MMRP gives a more accurate picture of actual spending.
Four sample households have sizes 4, 5, 2 and 6 and monthly consumption expenditures of ₹18,000, ₹20,000, ₹9,000 and ₹24,000. Compute the MPCE of each household, the simple average of these values, and the person-weighted average MPCE.
Show answer
Household MPCE = 18,000/4, 20,000/5, 9,000/2, 24,000/6 = ₹4,500, ₹4,000, ₹4,500, ₹4,000
Simple average = (4,500 + 4,000 + 4,500 + 4,000) / 4 = ₹4,250
Person-weighted average = ΣC / Σn = 71,000 / 17 = ₹4,176.47
The person-weighted figure is lower because the larger households have lower MPCE, and they contain more persons.
Discuss the major methodological changes in HCES 2022-23 and explain why consumption expenditure data are important for policy.
Show answer
Write your answer in four parts. (a) Design changes: households are visited several times with different item groups in each visit, instead of one long questionnaire; data are collected on tablets (CAPI); the item list is expanded to 405 items from 347. (b) Reference periods: recall periods are chosen to suit each item group, which is meant to improve accuracy over a single uniform recall. (c) Uses: MPCE data support estimates of poverty and inequality, food and non-food shares, the weights of the consumer price index, and the estimate of private final consumption expenditure in national accounts. (d) Comparability: because of the change in design, 2022-23 figures are not strictly comparable with 2011-12, and users should take care when computing trends. Conclude that HCES provides a stronger base for policy, provided its limits are kept in mind.
Key takeaways
- HCES is conducted by NSO, MoSPI, and its main output is average MPCE for rural and urban India.
- MPCE is household consumption divided by household size; regional averages are person-weighted.
- URP uses 30 days for all items; MRP and MMRP add a 365-day recall for low-frequency items, and MMRP adds a 7-day recall for frequent food items.
- Know the URP, MRP and MMRP comparison cold. It is a likely exam question this year.
Everything on Official Statistics, in one book
This topic is just one chapter of the syllabus. If you want the complete picture, this book is built for you.
- Indian official statistical system: MoSPI, NSO, NSC and the data they produce
- National accounts, GDP, IIP, price indices and labour statistics
- NSS surveys, sampling designs and data quality concepts
- Written specially for the ISS exam, and useful for other government and private sector statistical exams
- Concept-focused notes to revise quickly before the exam
Official Statistics for ISS and other Government & Private Sector Statistical Examinations