Monthly per capita consumption expenditure

Also called: MPCE, Monthly per capita expenditure · Topic: Economic Data: Census, NSS, Surveys and Statistical Tools · NCERT: Class 11, Ch 2 "Collection of Data"; Class 11, Ch 7 "Index Numbers"

Meaning

Monthly Per Capita Consumption Expenditure (MPCE) is a household's total consumption spending in a month, divided by the number of people in that household. It gives the average spending per person per month.

MPCE = Household's monthly consumption expenditure ÷ Household size

MoSPI calls MPCE "the primary indicator used for most analytical purposes" [2]. The Household Consumption Expenditure Survey (HCES) is the survey that measures it. Its data is used to measure poverty, inequality and social exclusion, and to update the basket and weights of the Consumer Price Index (CPI) [2].

Explanation

How MPCE is worked out

• Source: MPCE comes from the HCES, a sample survey. Chosen households are asked what they bought and used over a set period.
• Who runs it: the National Sample Survey (NSS), which comes under MoSPI (Ministry of Statistics and Programme Implementation).
• Worked example:
• A rural household of 5 people spends Rs 20,000 in a month.
• MPCE = 20,000 ÷ 5 = Rs 4,000.

• Every member gets the same MPCE of Rs 4,000.

• Ranking: households, and the people in them, are then ranked by MPCE. This ranking is used to split the population into fractile classes (groups from the bottom 5% to the top 5%).

• MoSPI's definition: for a fraction f, the fractile Yf is the MPCE level below which a share f of people fall [2].
• Example: the 0.05 fractile is the MPCE below which the poorest 5% fall.

Two sets of MPCE: with and without imputation

• Imputation: giving an estimated money value to something the household did not pay for.
• (i) MPCE without imputation: what the household spent, plus the usual imputed value of home-grown produce, gifts, loans and free collection [2].
• (ii) MPCE with imputation: also adds a money value for items received free through welfare schemes [2]:
• Food: rice, wheat/atta, jowar, bajra, maize, ragi, barley, small millets, pulses, gram, salt, sugar, edible oil (for example, PDS grain).

• Non-food: laptop/PC, tablet, mobile handset, bicycle, motorcycle/scooty, school uniform, school shoes.

• Not imputed: free health care under PM-JAY (cashless treatment, where the household never sees the bill) and free education (fee waivers or reimbursement). MoSPI said valuing these was too difficult [2].

• Worked example (2023-24):
• Rural MPCE rises from Rs 4,122 to Rs 4,247 after imputation. That is Rs 125 more, about 3% [2].
• Urban MPCE rises from Rs 6,996 to Rs 7,078 [2].
• Why the rural rise is bigger: free transfers such as PDS grain matter more to rural households.

Reference periods: why the method changes the number

• Reference (recall) period: how far back a household is asked to remember its spending, for example "in the last 30 days".

Method	Recall used
Uniform reference period (URP)	30 days for all items
Mixed reference period (MRP)	365 days for clothing, bedding, footwear, durables, education and institutional medical care; 30 days for everything else
Modified mixed reference period (MMRP) (from 2009-10)	7 days for perishables (edible oil, egg-fish-meat, vegetables, fruits, spices, beverages, processed food, pan/tobacco/intoxicants); 365 days for the MRP items; 30 days for the rest

• The logic behind each period:
• Rarely bought items (a fridge, school fees) → 365 days. A 30-day window would miss most of these purchases.

• Items bought every day (vegetables, milk) → 7 days. People forget small daily purchases over a whole month.

• A shorter recall catches more spending:

• People forget fewer small purchases.
• So measured spending goes up.

• Therefore MPCE under MMRP > MRP > URP.

• Effect on poverty:

• Higher measured MPCE → more people above the poverty line → measured poverty is lowest under MMRP.

• Real living standards have not changed. Only the method has.

• Non-sampling error: an error caused by how data is collected (memory, question wording, refusals), not by using a sample. A bigger sample does not fix it.

• Recall bias is one such error.
• Respondent fatigue (people get tired in a long interview and answer carelessly) is another. HCES 2022-23 and 2023-24 reduce it by spreading three questionnaires (food; consumables and services; durables) over three monthly visits.
• CAPI (Computer Assisted Personal Interview): answers are entered on a tablet that checks them straight away, so there are fewer entry errors.

What makes MPCE rise or fall, and what it shows

• Nominal vs real:
• Nominal MPCE is at current prices. Real MPCE removes inflation, for example by valuing spending at 2011-12 prices.

• Nominal MPCE can rise while real MPCE stays flat.

• Engel's law: as people get richer, the share of spending on food falls. So a falling food share within MPCE signals rising living standards.

• Gini coefficient: a measure of inequality based on how MPCE is spread. 0 means everyone spends the same. 1 means one person does all the spending.

In India

• Institution: NSS under MoSPI runs the survey. The 1st round (1950-51) was the first consumer expenditure survey.

• Large "thick" rounds were held about every 5 years, from the 27th round (1972-73) to the 68th round (2011-12). The 68th round's fieldwork ran July 2011 to June 2012 [2].

• Missing data: the 75th round (2017-18) was withheld in November 2019 on grounds of "data quality". A leaked report had shown real MPCE falling.

• As a result, there was no official consumption data from 2011-12 until 2022-23.

• New surveys: HCES 2022-23 (August 2022 to July 2023) and HCES 2023-24 (August 2023 to July 2024) [2].

• 2023-24 sample: 2,61,953 households, of which 1,54,357 rural and 1,07,596 urban [2].

• 2023-24 factsheet released on 27 December 2024 [2].

• Latest figures (MMRP basis):

	2011-12	2022-23	2023-24
Rural MPCE (current prices)	Rs 1,430 [2]	Rs 3,773	Rs 4,122
Urban MPCE (current prices)	Rs 2,630 [2]	Rs 6,459	Rs 6,996
Rural MPCE at 2011-12 prices	Rs 1,430	Rs 2,008 [2]	Rs 2,079 [2]
Urban MPCE at 2011-12 prices	Rs 2,630	Rs 3,510 [2]	Rs 3,632 [2]
Urban-rural gap	84%	71%	70%
Gini: rural / urban	—	0.266 / 0.314	0.237 / 0.284

• Urban-rural gap, worked out (2023-24):
• Gap = (Urban MPCE − Rural MPCE) ÷ Rural MPCE × 100
• = (6,996 − 4,122) ÷ 4,122 × 100 ≈ 70%

• So an average urban person spends about 1.7 times as much as an average rural person.

• Growth from 2022-23 to 2023-24: nominal MPCE grew about 9% in rural and 8% in urban areas [2].

• The bottom 5% grew fastest: 22% rural and about 19% urban [2].

• Fractile classes (2023-24): bottom 0-5% at Rs 1,677 rural and Rs 2,376 urban; top 95-100% at Rs 10,137 rural and Rs 20,310 urban [2].

• The top 5% spend about 6 times as much as the bottom 5% in rural India, and about 8.5 times in urban India.

• States (2023-24):

• Highest MPCE: Sikkim (Rs 9,377 rural and Rs 13,927 urban).
• Lowest MPCE: Chhattisgarh (Rs 2,739 rural and Rs 4,927 urban) [4].

• Smallest urban-rural gap: Kerala (about 18%). Largest: Jharkhand (about 83%) [4].

• What people spend on (2023-24):

• Food is about 47% of rural and about 40% of urban MPCE [2].
• The largest food item is beverages, refreshments and processed food, at 9.84% of rural MPCE. Next come milk and milk products (8.44%) and vegetables (6.03%) [4].

• In urban households, rent is about 7% [2].

• Use in CPI: the new CPI (base 2024 = 100) takes its weights from HCES 2023-24 [3].

• The weight of food and beverages is 36.75% under COICOP 2018 (the UN's system for grouping household spending by purpose) [3].
• Free items are left out of the weights. The CPI uses spending without imputation [3].

Don't confuse with

• Private Final Consumption Expenditure (PFCE): total household spending estimated in the National Accounts, not from a household survey. Survey totals usually come out lower than PFCE. This is called the NSS-NAS gap.
• Per capita income: national income per person. MPCE measures only consumption spending per person, taken from a household survey. It leaves out savings.
• MPCE with imputation vs without imputation: only the "with imputation" set adds the value of free PDS grain, laptops, bicycles and similar items [2]. CPI weights use spending without imputation [3].
• URP vs MRP vs MMRP MPCE: the same household gives three different MPCE values. MMRP gives the highest because its 7-day recall catches more small purchases.

Prelims Hooks

• MPCE = household monthly consumption expenditure ÷ household size. It is the main HCES indicator [2]. It is measured by the NSS under MoSPI.
• HCES 2023-24: rural MPCE Rs 4,122 and urban Rs 6,996. With imputed free items: Rs 4,247 and Rs 7,078 [2].
• Urban-rural MPCE gap: 84% (2011-12) → 71% (2022-23) → 70% (2023-24) [2]. Gini (2023-24): rural 0.237, urban 0.284. Both fell from 2022-23.
• MMRP (from 2009-10) uses a 7-day recall for perishables. Order of measured MPCE: MMRP > MRP > URP. Committee pairs: Lakdawala–URP, Tendulkar–MRP, Rangarajan–MMRP.
• Trap: free health care under PM-JAY and fee waivers were not imputed in MPCE. Only listed goods such as PDS grain, laptops and bicycles were [2].
• Trap: the largest food item in MPCE is beverages, refreshments and processed food, not cereals [4]. The 75th round (2017-18) was withheld, so the official series jumps from 2011-12 to 2022-23.

Mains Points

• The method shapes the number:
• The recall period (URP/MRP/MMRP) and the imputation of free items both change MPCE, and so change poverty estimates.
• Poverty figures from different committees cannot be compared directly.

• Any claim that "poverty fell" should state which method was used.

• Welfare reading and its limits:

• In 2023-24, food share was below 50%, the rural-urban gap narrowed, the Gini fell and the bottom 5% grew fastest [2]. Together these point to better rural living standards.

• Caution: rich households often refuse to answer or under-report their spending. This widens the gap with PFCE, and the survey may understate inequality.

• Credibility and policy links:

• Withholding the 75th round left an 11-year gap. It delayed both poverty measurement and CPI weight revision.
• This supports the case for an independent statistical system with a fixed release calendar.
• Fresh HCES 2023-24 weights give a CPI 2024 basket with a smaller food weight [3]. The RBI targets CPI inflation, so this changes how much food-price shocks move headline inflation.

Related concepts

• Uniform reference period
• Mixed reference period
• Modified mixed reference period

Read more

• Consumption surveys: HCES, MPCE and reference periods