What the published amounts represent
HCES 2023–24 reports average clothing, bedding and footwear consumption of ₹273 per person per month in rural India and ₹396 in urban India. The group represents 6.63% of total rural consumption expenditure and 5.66% of urban consumption expenditure. These results refer to August 2023–July 2024.
The word together matters: bedding and footwear are part of the reported group. Calling ₹273 or ₹396 apparel spending alone would narrow the label without narrowing the underlying data. The monthly unit also represents the survey’s conversion of reported consumption to a common period; it does not mean that each person purchases these items every calendar month.
Evidence: NSS Report 592: Survey on Household Consumption Expenditure, 2023–24
Higher rupees and a lower budget share can coexist
The urban amount is higher than the rural amount, but the urban share of the total basket is lower. The denominator for the share is all monthly per capita consumption, which differs across rural and urban areas. A share comparison and a rupee comparison answer different questions and should be displayed alongside their units.
These are population averages within the survey, rather than average transaction sizes or amounts among buyers of the category. A household that did not report a relevant purchase still contributes to the population denominator. A retailer’s average order value, purchase frequency and number of buying customers cannot be read directly from these per-person means.
Evidence: NSS Report 592: Survey on Household Consumption Expenditure, 2023–24
What the category cannot say about how India dresses
The combined headline does not identify the share of people who wear saris, jeans, uniforms or any other garment. It also does not reveal preferred fabrics, brands, shopping channels, dress codes or the number of items owned. Those are valid research questions, but they require more detailed item evidence or a survey designed to ask them.
An expenditure category is especially unsuitable for inferring a person’s identity or preferences. People with the same aggregate demographic characteristics may buy different products for different occasions. A broad state, religion or language average should not be converted into a personal clothing profile.
A useful detailed study would first identify which survey item codes belong to the intended product definition. It would then retain the survey’s recall periods, weights and valuation rules. Until that extraction is completed, an apparel-only, footwear-only or bedding-only estimate should remain a planned analysis rather than an invented split of the combined total.
Evidence: NSS Report 592: Survey on Household Consumption Expenditure, 2023–24
Using the figures in a market-sizing exercise
The official group can provide a broad consumption benchmark. To build a narrower scenario, state the population and year, define the eligible customer group, identify the relevant product category and document any assumed share. A scenario based on assumptions should remain distinguishable from a measured HCES result.
Do not multiply a per-person amount by a household count without converting the units. Similarly, annualizing a monthly average by multiplying by twelve changes the time unit; it does not create a newly observed annual market total. The population base and coverage still need to be compatible with the survey.
These figures use the series without additional imputation for specified free welfare goods. They remain at survey-period prices and include the survey’s usual non-cash consumption valuation. For a current business plan, price changes, local demand and the share of spending accessible to that business require separate evidence. The survey benchmark can support the plan, but cannot establish its sales forecast.
Evidence: NSS Report 592: Survey on Household Consumption Expenditure, 2023–24