22 datasets found
  1. Consumer share ranked as global middle-income earners and above India 2024,...

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Consumer share ranked as global middle-income earners and above India 2024, by city [Dataset]. https://www.statista.com/statistics/1487874/india-consumers-middle-class-above-by-city/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    India
    Description

    In India, the share of the population that earned at least the equivalent of the highest ** percent of global income earners as of 2022 in purchasing power parity (PPP) terms was ** percent. Hyderabad topped the list with the highest share of middle-class and above category of consumers. Cities from south India topped the list with the first four ranks, followed by the national capital, Delhi.

  2. Households by annual income India FY 2021

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Households by annual income India FY 2021 [Dataset]. https://www.statista.com/statistics/482584/india-households-by-annual-income/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between ******* and ******* Indian rupees a year. On the other hand, about ***** percent of households that same year, accounted for the rich, earning over * million rupees annually. The middle class more than doubled that year compared to ** percent in financial year 2005. Middle-class income group and the COVID-19 pandemic During the COVID-19 pandemic specifically during the lockdown in March 2020, loss of incomes hit the entire household income spectrum. However, research showed the severest affected groups were the upper middle- and middle-class income brackets. In addition, unemployment rates were rampant nationwide that further lead to a dismally low GDP. Despite job recoveries over the last few months, improvement in incomes were insignificant. Economic inequality While India maybe one of the fastest growing economies in the world, it is also one of the most vulnerable and severely afflicted economies in terms of economic inequality. The vast discrepancy between the rich and poor has been prominent since the last ***** decades. The rich continue to grow richer at a faster pace while the impoverished struggle more than ever before to earn a minimum wage. The widening gaps in the economic structure affect women and children the most. This is a call for reinforcement in in the country’s social structure that emphasizes access to quality education and universal healthcare services.

  3. m

    Demographics of Upper-Middle Class Citizens in Gachibowli, Hyderabad, India

    • data.mendeley.com
    Updated Dec 15, 2019
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    Praagna Shrikrishna Sriram (2019). Demographics of Upper-Middle Class Citizens in Gachibowli, Hyderabad, India [Dataset]. http://doi.org/10.17632/k55rb6zk3v.1
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    Dataset updated
    Dec 15, 2019
    Authors
    Praagna Shrikrishna Sriram
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Gachibowli, Hyderabad, India
    Description

    This dataset is one which highlights the demographics of Upper-Middle Class people living in Gachibowli, Hyderabad, India and attempts to, through various methods of statistical analysis, establish a relationship between several of these demographic details.

  4. Number of households in India 2021-2047, by income class

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of households in India 2021-2047, by income class [Dataset]. https://www.statista.com/statistics/1449959/india-number-of-households-by-income-class/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In the financial year 2021, the number of super-rich households earning more than ** million Indian rupees went up to **** million from **** million in the financial year 2016. This was an annual growth of **** percent. The number is expected to grow to over **** million in the financial year 2031 and ** million households in the financial year 2047. This will be the fastest growth across all income categories. On the other hand, destitute classified Indian households with earnings of less than *** thousand annually decreased only marginally to ***** million in financial year 2021 from **** million in 2016. However, it is estimated that the number of destitute households will fall to just *** million by the financial year 2047.

  5. I

    India Proportion of People Living Below 50 Percent Of Median Income: %

    • ceicdata.com
    Updated Apr 7, 2022
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    CEICdata.com (2022). India Proportion of People Living Below 50 Percent Of Median Income: % [Dataset]. https://www.ceicdata.com/en/india/social-poverty-and-inequality/proportion-of-people-living-below-50-percent-of-median-income-
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    Dataset updated
    Apr 7, 2022
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1987 - Dec 1, 2021
    Area covered
    India
    Description

    India Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 9.800 % in 2021. This records a decrease from the previous number of 10.000 % for 2020. India Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 6.200 % from Dec 1977 (Median) to 2021, with 14 observations. The data reached an all-time high of 10.300 % in 2019 and a record low of 5.100 % in 2004. India Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  6. Average annual household saving in India FY 2021, by income class

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Average annual household saving in India FY 2021, by income class [Dataset]. https://www.statista.com/statistics/1450072/india-household-saving-by-income-class/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    India
    Description

    In the financial year 2021, the average annual saving of rich households in India was over *** thousand Indian rupees, a stark contrast to destitute category which saved only five thousand Indian rupees. The middle-class saved almost *** thousand Indian rupees annually. During the year, a rich household spent almost ** times that of a destitute household, eight times that of an aspirer household, and almost three times that of a middle-class household.

  7. Forecast of the global middle class population 2015-2030

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Forecast of the global middle class population 2015-2030 [Dataset]. https://www.statista.com/statistics/255591/forecast-on-the-worldwide-middle-class-population-by-region/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    By 2030, the middle-class population in Asia-Pacific is expected to increase from **** billion people in 2015 to **** billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from *** million in 2015 to *** million in 2030. Worldwide wealth While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around ** percent of the world’s population had assets valued at less than 10,000 U.S. dollars, while less than *** percent had assets of more than one million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percentage of non-investable assets. The middle-class The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth among the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle class.

  8. Population distribution by wealth bracket in India 2021-2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Population distribution by wealth bracket in India 2021-2022 [Dataset]. https://www.statista.com/statistics/482579/india-population-by-average-wealth/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2022, the majority of Indian adults had a wealth of 10,000 U.S. dollars or less. On the other hand, about *** percent were worth more than *********** dollars that year. India The Republic of India is one of the world’s largest and most economically powerful states. India gained independence from Great Britain on August 15, 1947, after having been under their power for 200 years. With a population of about *** billion people, it was the second most populous country in the world. Of that *** billion, about **** million lived in New Delhi, the capital. Wealth inequality India suffers from extreme income inequality. It is estimated that the top 10 percent of the population holds ** percent of the national wealth. Billionaire fortune has increase sporadically in the last years whereas minimum wages have remain stunted.

  9. Health system performance for people with diabetes in 28 low- and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 30, 2023
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    Jennifer Manne-Goehler; Pascal Geldsetzer; Kokou Agoudavi; Glennis Andall-Brereton; Krishna K. Aryal; Brice Wilfried Bicaba; Pascal Bovet; Garry Brian; Maria Dorobantu; Gladwell Gathecha; Mongal Singh Gurung; David Guwatudde; Mohamed Msaidie; Corine Houehanou; Dismand Houinato; Jutta Mari Adelin Jorgensen; Gibson B. Kagaruki; Khem B. Karki; Demetre Labadarios; Joao S. Martins; Mary T. Mayige; Roy Wong McClure; Omar Mwalim; Joseph Kibachio Mwangi; Bolormaa Norov; Sarah Quesnel-Crooks; Bahendeka K. Silver; Lela Sturua; Lindiwe Tsabedze; Chea Stanford Wesseh; Andrew Stokes; Maja Marcus; Cara Ebert; Justine I. Davies; Sebastian Vollmer; Rifat Atun; Till W. Bärnighausen; Lindsay M. Jaacks (2023). Health system performance for people with diabetes in 28 low- and middle-income countries: A cross-sectional study of nationally representative surveys [Dataset]. http://doi.org/10.1371/journal.pmed.1002751
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jennifer Manne-Goehler; Pascal Geldsetzer; Kokou Agoudavi; Glennis Andall-Brereton; Krishna K. Aryal; Brice Wilfried Bicaba; Pascal Bovet; Garry Brian; Maria Dorobantu; Gladwell Gathecha; Mongal Singh Gurung; David Guwatudde; Mohamed Msaidie; Corine Houehanou; Dismand Houinato; Jutta Mari Adelin Jorgensen; Gibson B. Kagaruki; Khem B. Karki; Demetre Labadarios; Joao S. Martins; Mary T. Mayige; Roy Wong McClure; Omar Mwalim; Joseph Kibachio Mwangi; Bolormaa Norov; Sarah Quesnel-Crooks; Bahendeka K. Silver; Lela Sturua; Lindiwe Tsabedze; Chea Stanford Wesseh; Andrew Stokes; Maja Marcus; Cara Ebert; Justine I. Davies; Sebastian Vollmer; Rifat Atun; Till W. Bärnighausen; Lindsay M. Jaacks
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe prevalence of diabetes is increasing rapidly in low- and middle-income countries (LMICs), urgently requiring detailed evidence to guide the response of health systems to this epidemic. In an effort to understand at what step in the diabetes care continuum individuals are lost to care, and how this varies between countries and population groups, this study examined health system performance for diabetes among adults in 28 LMICs using a cascade of care approach.Methods and findingsWe pooled individual participant data from nationally representative surveys done between 2008 and 2016 in 28 LMICs. Diabetes was defined as fasting plasma glucose ≥ 7.0 mmol/l (126 mg/dl), random plasma glucose ≥ 11.1 mmol/l (200 mg/dl), HbA1c ≥ 6.5%, or reporting to be taking medication for diabetes. Stages of the care cascade were as follows: tested, diagnosed, lifestyle advice and/or medication given (“treated”), and controlled (HbA1c < 8.0% or equivalent). We stratified cascades of care by country, geographic region, World Bank income group, and individual-level characteristics (age, sex, educational attainment, household wealth quintile, and body mass index [BMI]). We then used logistic regression models with country-level fixed effects to evaluate predictors of (1) testing, (2) treatment, and (3) control. The final sample included 847,413 adults in 28 LMICs (8 low income, 9 lower-middle income, 11 upper-middle income). Survey sample size ranged from 824 in Guyana to 750,451 in India. The prevalence of diabetes was 8.8% (95% CI: 8.2%–9.5%), and the prevalence of undiagnosed diabetes was 4.8% (95% CI: 4.5%–5.2%). Health system performance for management of diabetes showed large losses to care at the stage of being tested, and low rates of diabetes control. Total unmet need for diabetes care (defined as the sum of those not tested, tested but undiagnosed, diagnosed but untreated, and treated but with diabetes not controlled) was 77.0% (95% CI: 74.9%–78.9%). Performance along the care cascade was significantly better in upper-middle income countries, but across all World Bank income groups, only half of participants with diabetes who were tested achieved diabetes control. Greater age, educational attainment, and BMI were associated with higher odds of being tested, being treated, and achieving control. The limitations of this study included the use of a single glucose measurement to assess diabetes, differences in the approach to wealth measurement across surveys, and variation in the date of the surveys.ConclusionsThe study uncovered poor management of diabetes along the care cascade, indicating large unmet need for diabetes care across 28 LMICs. Performance across the care cascade varied by World Bank income group and individual-level characteristics, particularly age, educational attainment, and BMI. This policy-relevant analysis can inform country-specific interventions and offers a baseline by which future progress can be measured.

  10. e

    British East India Company: Salaries Paid to 'Clerks', 1760-1850

    • b2find.eudat.eu
    Updated Oct 21, 2023
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    (2023). British East India Company: Salaries Paid to 'Clerks', 1760-1850 [Dataset]. https://b2find.eudat.eu/dataset/7af30e23-bd36-5329-bf05-3040c647cf91
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    Dataset updated
    Oct 21, 2023
    Area covered
    United Kingdom
    Description

    Abstract copyright UK Data Service and data collection copyright owner. This resource arose out of research into the date of origin, characteristics, and scale of age-specific salaries, and the relative earnings among the British middle class between 1750 and 1850. Main Topics: This resource lists by name, occupation, year, department, and years of experience of clerks employed in the British East India Company between 1760 and 1850. It provides an indication of middle class incomes received by a significant group of men in the middle and upper sections of London's middle class during the classic years of the British industrial revolution. No sampling (total universe) Transcription of existing materials Compilation or synthesis of existing material

  11. Research on Early Life and Aging Trends and Effects (RELATE): A...

    • search.gesis.org
    Updated Mar 11, 2021
    + more versions
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    McEniry, Mary (2021). Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR34241
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    Dataset updated
    Mar 11, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    Authors
    McEniry, Mary
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450289https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450289

    Description

    Abstract (en): The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons. In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17). The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below. The purpose of this study was to compile and harmonize cross-national data from both the developing and developed world to allow for the examination of how early life conditions are related to older adult health and well being. The selection of countries for this study was based on their diversity but also on the availability of comprehensive cross sectional/panel survey data for older adults born in the early to mid 20th century in low, middle and high income countries. These data were then utilized to create the harmonized cross-national RELATE data (Part 1). Specifically, data that are being released in this version of the RELATE study come from the following studies: CHNS (China Health and Nutrition Study) CLHLS (Chinese Longitudinal Healthy Longevity Survey) CRELES (Costa Rican Study of Longevity and Healthy Aging) PREHCO (Puerto Rican Elderly: Health Conditions) SABE (Study of Aging Survey on Health and Well Being of Elders) SAGE (WHO Study on Global Ageing and Adult Health) WLS (Wisconsin Longitudinal Study) Note that the countries selected represent a diverse range in national income levels: Barbados and the United States (including Puerto Rico) represent high income countries; Argentina, Cuba, Uruguay, Chile, Costa Rica, Brazil, Mexico, and Russia represent upper middle income countries; China and India represent lower middle income countries; and Ghana represents a low income country. Users should refer to the technical report that accompanies the RELATE data for more detailed information regarding the study design of the surveys used in the construction of the cross-national data. The Research on Early Life and Aging Trends and Effects (RELATE) data includes an array of variables, including basic demographic variables (age, gender, education), variables relating to early life conditions (height, knee height, rural/urban birthplace, childhood health, childhood socioeconomic status), adult socioeconomic status (income, wealth), adult lifestyle (smoking, drinking, exercising, diet), and health outcomes (self-reported health, chronic conditions, difficulty with functionality, obesity, mortality). Not all countries have the same variables. Please refer to the technical report that is part of the documentation for more detail regarding the variables available across countries. Sample weights are applicable to all countries exc...

  12. D

    Consumer Luxury Goods Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Consumer Luxury Goods Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/consumer-luxury-goods-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Consumer Luxury Goods Market Outlook



    As of 2023, the global market size for consumer luxury goods is estimated to be approximately $350 billion. With a compound annual growth rate (CAGR) of 6% from 2024 to 2032, the market is projected to reach $550 billion by 2032. The anticipated growth is driven by rising disposable incomes, the development of global retail channels, and an increasing inclination towards exclusive and premium products among consumers worldwide.



    The growth of the consumer luxury goods market is heavily influenced by the escalating disposable incomes in emerging economies. As countries like China, India, and Brazil witness rapid economic development, their middle and upper-middle-class populations are expanding. These demographic segments have a growing appetite for luxury goods, driven by a combination of increasing wealth and a desire for social status. The aspirational aspect of luxury goods, coupled with the growing influence of Western lifestyles and fashion trends, further propels market growth in these regions.



    The proliferation of digital platforms and e-commerce has also significantly contributed to the market's expansion. Online channels have democratized access to luxury goods, making them available to consumers in remote and previously untapped markets. Internet penetration and smartphone usage have surged globally, enabling consumers to explore and purchase high-end products from the comfort of their homes. Luxury brands are increasingly investing in enhancing their digital presence, through virtual showrooms and personalized online shopping experiences, thereby broadening their customer base and driving sales.



    Another pivotal factor bolstering market growth is the shifting consumer preference towards experiences over material possessions. Millennials and Generation Z, in particular, are veering towards experiential luxury, which includes high-end travel, fine dining, and bespoke services. This trend has compelled luxury brands to diversify their offerings and focus on creating unique, memorable experiences for their customers. Consequently, brands are not only selling products but also curating immersive brand experiences that foster customer loyalty and engagement.



    Luxury Item Retail Websites have become pivotal in shaping the modern luxury goods market. These platforms offer an unparalleled level of convenience and accessibility, allowing consumers to explore and purchase luxury items from anywhere in the world. The rise of these websites has not only expanded the reach of luxury brands but also provided a platform for smaller, niche brands to gain visibility. With features like virtual try-ons, personalized recommendations, and exclusive online collections, luxury item retail websites are redefining the shopping experience. They cater to a tech-savvy audience that values both the prestige of luxury goods and the ease of online shopping. As a result, these websites are playing a crucial role in driving sales and enhancing brand loyalty in the digital age.



    Regionally, North America and Europe continue to dominate the consumer luxury goods market, owing to their established economies and high levels of disposable income. However, the Asia Pacific region is emerging as a significant growth driver, with China and India at the forefront. The increasing affluence in these countries, combined with a burgeoning young population and rising brand consciousness, presents lucrative opportunities for luxury brands. Meanwhile, the Middle East and Africa, though smaller in market size, are showing promising growth trajectories due to the rising number of high-net-worth individuals and the popularity of luxury tourism in the region.



    Product Type Analysis



    The consumer luxury goods market is segmented into various product types including apparel, accessories, watches and jewelry, cosmetics and fragrances, wines and spirits, and others. Apparel holds a significant share in the market, driven by the perpetual demand for high-quality, fashionable clothing. Leading brands such as Gucci, Louis Vuitton, and Chanel dominate this segment, continually setting trends and catering to the elite's sartorial preferences. The emphasis on craftsmanship, exclusivity, and brand heritage plays a crucial role in sustaining the allure of luxury apparel among affluent consumers.



    Accessories, encompassing items such as handbags, shoes, and small leather goods, represent another lucrative segment

  13. f

    Estimated global overweight and obesity burden in pregnant women based on...

    • plos.figshare.com
    tiff
    Updated Jun 2, 2023
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    Cheng Chen; Xianglong Xu; Yan Yan (2023). Estimated global overweight and obesity burden in pregnant women based on panel data model [Dataset]. http://doi.org/10.1371/journal.pone.0202183
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    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Cheng Chen; Xianglong Xu; Yan Yan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveTo estimate the global and country-level burden of overweight and obesity among pregnant women from 2005 to 2014.MethodsPublicly accessible country-level data were collected from the World Health Organization, the World Bank and the Food and Agricultural Organization. We estimated the number of overweight and obese pregnant women among 184 countries and determined the time-related trend from 2005 to 2014. Based on panel data model, we determined the effects of food energy supply, urbanization, gross national income and female employment on the number of overweight and obese pregnant women.ResultsWe estimated that 38.9 million overweight and obese pregnant women and 14.6 million obese pregnant women existed globally in 2014. In upper middle income countries and lower middle income countries, there were sharp increases in the number of overweight and obese pregnant women. In 2014, the percentage of female with overweight and obesity in India was 21.7%, and India had the largest number of overweight and obese pregnant women (4.3 million), which accounted for 11.1% in the world. In the United States of America, a third of women were obese, and the number of obese pregnant women was 1.1 million. In high income countries, caloric supply and urbanization were positively associated with the number of overweight and obese pregnant women. The percentage of employment in agriculture was inversely associated with the number of overweight and obese pregnant women, but only in upper middle income countries and lower middle income countries.ConclusionThe number of overweight and obese pregnant women has increased in high income and middle income countries. Environmental changes could lead to increased caloric supply and decreased energy expenditure among women. National and local governments should work together to create a healthy food environment.

  14. Share of annual household income in Delhi India 2015

    • statista.com
    Updated Feb 12, 2016
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    Statista (2016). Share of annual household income in Delhi India 2015 [Dataset]. https://www.statista.com/statistics/658909/share-of-annual-income-in-delhi-india/
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    Dataset updated
    Feb 12, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    India
    Description

    This statistic displays the distribution of annual household income across the city of Delhi in India in 2015. During the measured time period, ** percent of households from the National Capital Region had an annual income between ******* rupees and *********** Indian rupees.

  15. Share of average monthly income in Indian households 2015

    • statista.com
    Updated Sep 15, 2016
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    Statista (2016). Share of average monthly income in Indian households 2015 [Dataset]. https://www.statista.com/statistics/653897/average-monthly-household-income-india/
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    Dataset updated
    Sep 15, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2015 - Dec 2015
    Area covered
    India
    Description

    According to a survey conducted in 2015 across India, over ** percent of the surveyed households had an average monthly income up to 10,000 Indian rupees. This percentage varied among the rural and urban areas, where over ** percent of the rural households and ** percent of the urban households earned up to 10,000 Indian rupees monthly. India had a high rate of rural to urban migration, as Indian cities provided better standards of living and employment opportunities.

    Multiple income generators

    For most of the population, income is earned in form of wages or salary, rent from residential or commercial property, interest from financial investments, and profits from family businesses. Most Indian households have multiple earning members to support consumption expenses on a day to day basis. During the surveyed year, around ** percent of the households had a single earner, mostly the head of the family, followed by about ** percent of households with two earning members.

    Employment scenario

    There are a lot of uncertainties in the job market in India. Non-availability of jobs matching education and skills was one of the main reasons for unemployment among Indian graduates. Underemployment was also a problem, and it was higher in urban areas than rural ones. Even though a majority of the population was self-employed, most jobs taken by workers had no written job contracts in both the salaried and casual employment sectors.

  16. D

    K-12 International Schools Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). K-12 International Schools Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/k-12-international-schools-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 22, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    K-12 International Schools Market Outlook



    The global K-12 international schools market size was estimated at USD 60 billion in 2023, and it is projected to reach approximately USD 120 billion by 2032, growing at a CAGR of 7.5% during the forecast period. This remarkable growth is primarily fueled by a burgeoning demand for quality education and a growing expatriate population that values an international curriculum for their children. Additionally, increasing awareness about the benefits of global education and the rising disposable income of families in emerging economies are significant contributors to the market's expansion.



    One of the major growth factors driving the K-12 international schools market is the rising demand for high-quality education that adheres to international standards. As globalization continues to shape the world, more parents are recognizing the advantages of enrolling their children in international schools that offer globally recognized curricula such as the International Baccalaureate (IB) and Cambridge International Examinations. These programs not only enhance students' academic prospects but also prepare them for higher education opportunities worldwide.



    Moreover, the increase in expatriate communities across various regions is another vital driver of market growth. Many multinational corporations are expanding their operations globally, leading to a rise in the number of expatriates who seek international schooling options for their children. These schools cater to the diverse needs of expatriate families by offering a curriculum that is compatible with various educational systems worldwide, thereby ensuring a seamless transition for students moving between countries.



    The growing emphasis on bilingual and multilingual education is also playing a significant role in the market's growth. Parents are increasingly valuing the importance of language acquisition from an early age, which is a common feature of many international schools. By offering bilingual programs and foreign language immersion, these schools equip students with the linguistic skills needed to thrive in a globalized world. This emphasis on language learning not only enhances cognitive abilities but also provides a competitive edge in future career prospects.



    Regionally, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. This can be attributed to the rapid economic development in countries like China and India, coupled with a growing middle-class population that is willing to invest in premium education for their children. Additionally, the presence of a large expatriate community in cities such as Hong Kong, Singapore, and Tokyo further boosts the demand for international schools. The strategic initiatives taken by governments in these countries to attract foreign investments also play a pivotal role in fostering the growth of the international school market in the region.



    School Type Analysis



    When analyzing the K-12 international schools market by school type, it is essential to consider the primary, middle, and high school segments. Each of these segments caters to different age groups and educational needs, thereby shaping the overall dynamics of the market. Primary schools typically cater to younger students, emphasizing foundational skills in literacy, numeracy, and social development. The demand for primary international schools has seen a substantial increase, driven by parents' desire to provide their children with a strong educational foundation from an early age.



    Middle schools, which serve students in the transitional phase between primary and high school, focus on a more comprehensive curriculum that includes a broader range of subjects and extracurricular activities. The middle school segment is witnessing significant growth as parents recognize the importance of this transitional period in shaping their children's future academic and personal development. International middle schools are particularly valued for their holistic approach to education, which includes a strong emphasis on critical thinking, problem-solving, and emotional intelligence.



    High schools, catering to older students preparing for higher education, are another crucial segment within the K-12 international schools market. The high school segment is experiencing robust growth due to the increasing number of students seeking globally recognized qualifications such as the International Baccalaureate (IB) Diploma or A-levels. These qualifications are highly regarded by unive

  17. Population in India 2011-2019, by income tier

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Population in India 2011-2019, by income tier [Dataset]. https://www.statista.com/statistics/1266079/india-population-by-income-tier/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Over a billion Indians were classified under low income in 2019, from only *** million in 2011. The change meant that between 2011 and 2019, about *** million Indians saw an increase in their standard of living, from poor to low income.

  18. Share of active users of WhatsApp in India by economic class 2018

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Share of active users of WhatsApp in India by economic class 2018 [Dataset]. https://www.statista.com/statistics/962645/india-active-whatsapp-users-share-by-economic-class/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 28, 2018 - May 17, 2018
    Area covered
    India
    Description

    Based on the results of a survey about WhatsApp users across India in 2018, about ** percent of respondents who belonged to the poor economic class were active users of the messaging app. While this was about ** percent for upper middle class and rich respondents during the survey period.

  19. U.S. median household income 2023, by race and ethnicity

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/233324/median-household-income-in-the-united-states-by-race-or-ethnic-group/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the gross median household income for Asian households in the United States stood at 112,800 U.S. dollars. Median household income in the United States, of all racial and ethnic groups, came out to 80,610 U.S. dollars in 2023. Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, Black, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. with 8.6 percent unemployed, according to the Bureau of Labor Statistics in 2021. Hispanic individuals (of any race) were most likely to go without health insurance as of 2021, with 22.8 percent uninsured.

  20. Consumer spending in India Q2 2018-Q2 2024

    • statista.com
    Updated Oct 21, 2024
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    Statista (2024). Consumer spending in India Q2 2018-Q2 2024 [Dataset]. https://www.statista.com/statistics/233108/india-consumer-spending/
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    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Consumer spending across India amounted to 24.57 trillion rupees by the end of the second quarter of 2024. It reached an all-time high during the fourth quarter of 2023. What is consumer spending? Consumer spending refers to the total money spent on final goods and services by individuals and households in an economy. It is an important metric that directly impacts the GDP of a country. Items that qualify as consumer spending include durable and nondurable goods and services. Various factors such as debt held by consumers, wages, supply and demand, taxes, and government-based economic stimulus can impact consumer spending in a country. Positive consumer outlook in India India’s consumer spending reflects a positive outlook with renewed consumer confidence post-COVID. Its consumer market is set to become one of the largest in the world as the number of middle- to high-income households rises with increasing amounts of disposable incomes. The country’s young demographic is also considered a driving force for increased consumer spending. Consumer electronics such as smartphones, laptops, and gaming consoles were the preferred items among Indian holiday shoppers in 2023.

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Statista (2025). Consumer share ranked as global middle-income earners and above India 2024, by city [Dataset]. https://www.statista.com/statistics/1487874/india-consumers-middle-class-above-by-city/
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Consumer share ranked as global middle-income earners and above India 2024, by city

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Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
India
Description

In India, the share of the population that earned at least the equivalent of the highest ** percent of global income earners as of 2022 in purchasing power parity (PPP) terms was ** percent. Hyderabad topped the list with the highest share of middle-class and above category of consumers. Cities from south India topped the list with the first four ranks, followed by the national capital, Delhi.

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