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What India wears -1 | Number Theory

Italian luxury fashion company Prada has announced that it will team up with local artisans in India to produce limited edition Kolhapuri chappals

Updated on: Dec 13, 2025, 12:23:37 IST
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Italian luxury fashion company Prada has announced that it will team up with local artisans in India to produce limited edition Kolhapuri chappals. These sandals are expected to be priced around $930 or 84,000 per pair. The announcement is an interesting opportunity to look into the spending behaviour of an average Indian (more on this later) on clothes and footwear. This two-part series will use data from the latest Household Consumption Expenditure Survey (HCES) in India and look at what kind of clothes and shoes Indians spend their money on and state-wise trends in this spending.

These sandals are expected to be priced around $930 or  ₹84,000 per pair. (HT Photo)
These sandals are expected to be priced around $930 or ₹84,000 per pair. (HT Photo)
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    The price of a Prada Kolhapuri will be 151 times the average annual spending on a footwear in India
    According to the 2023-24 HCES, an average Indian spent 557 on footwear and 2,982 on clothing in the year preceding the survey. This number was 1,139 and 5,250 even for the top 5% of Indian households and was 35,600 and 95,070 for the household that reported the highest per capita spending on these items. But, as has often been underlined in these pages, the HCES is designed in such a way that it undercounts the really rich in India.
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    Innerwear and rubber chappals are the most frequently bought clothing and footwear in India
    Most people reading this story would be used to buying various pieces of clothing and shoes in a year. HCES data shows that their wardrobe is far more diverse than an average Indian’s. The items of clothing and footwear that come closest to universal buying in the course of the year are the broad category of innerwear and socks and rubber/PVC chappals, with more than 90% households buying something from these categories in the preceding year. Only two in a hundred households bought a western suit and less than one percent bought second hand clothing or footwear.
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    Most widely bought items also have the lowest inequality in consumption
    Some of this is perfectly intuitive. More widely bought clothing or footwear are less likely to have inequality on spending. However, what is equally intuitive is that the equality of use need not have a bought can affect spending more than use. This shows in the HCES data. There is an almost perfect correlation between the Gini coefficient – a statistical measure of inequality where zero represents perfect equality and one perfect inequality – and the share of households reporting consuming an item, but the item-wise Gini is above the level of perfect equality even for the most widely bought items.
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    6- 18,500 is the range of spending by households on the price paid per unit for clothing or footwear
    How representative are the numbers described above? One way to answer this question is to look at the item-wise spending by rate on a piece of clothing or footwear in the HCES. An HT analysis of unit level data shows that the highest rate for a piece of clothing or footwear was 18,500 on a western suit and the lowest was 6 for a broad category that includes gamchha, towel or handkerchief. To be sure, the average rates for different pieces of clothing or footwear are much more relatable than the extreme values in the data.
  • Roshan Kishore
    ABOUT THE AUTHOR
    Roshan Kishore

    Roshan Kishore is the Data and Political Economy Editor at Hindustan Times. He heads the newsroom's data journalism team, which produces Number Theory, a daily data-driven feature for the print edition and the HT app. Number Theory uses data analysis and story-telling based on it to add value to the newsroom’s daily coverage by putting stories in a larger context on a range of issues, including politics, macroeconomy, markets, global affairs and climate. Under his leadership HT’s data journalism work has established itself as a niche product in Indian journalism and pushed the boundaries of marrying academic rigour with news sense and speed. Along with writing and editing data stories, he has also been writing a weekly political economy column called Terms of Trade for HT Premium. A trained economist with an MPhil degree from Jawaharlal Nehru University, Kishore has also been a visiting fellow at the Centre for Advanced Studies of India (CASI) at the University of Pennsylvania. Along with his journalistic work, his writings have also appeared in journals such as the Economic and Political Weekly and working papers for CASI and UNESCAP.Read More

  • Abhishek Jha
    ABOUT THE AUTHOR
    Abhishek Jha

    Abhishek Jha is Assistant Editor-Data at Hindustan Times. He uses statistical programming to generate newsworthy insights from large datasets. He is part of the team that produces Number Theory, a daily data story feature of the paper’s print edition. Since March 2024, he has been writing Weather Bee, a weekly column for the Hindustan Times website. He is a chemical engineer by training, who specialises in stories related to weather, climate, and the environment. Jha has been at HT since 2018, where he offers data-driven perspective and analysis on politics, environment, weather, climate, economy and society. His work includes data coverage of elections in India and abroad, including the 2019 and 2024 Lok Sabha elections; the disasters and extreme weather resulting from changing climate, such as floods, droughts, heat waves, cold waves, and dwindling snow cap in the Himalayas; the factors that drive poor air quality in northern India; the changing patterns of land use; the Covid-19 pandemic and its impact on labour market conditions; the changing pattern of consumer spending seen in the new consumer spending surveys; and social norms seen in the surveys such as the National Family Health Survey.Read More

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