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

    • statista.com
    Updated Jun 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Households by annual income India FY 2021 [Dataset]. https://www.statista.com/statistics/482584/india-households-by-annual-income/
    Explore at:
    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. Annual growth of households in India FY 2021-2047, by income class

    • statista.com
    Updated Feb 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Annual growth of households in India FY 2021-2047, by income class [Dataset]. https://www.statista.com/statistics/1450036/india-growth-of-households-by-income-class/
    Explore at:
    Dataset updated
    Feb 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    India
    Description

    Between the financial year 2016 and 2021, the number of super-rich households in India earning more than 20 million Indian rupees recorded an annual growth of 11.3 percent. The growth is expected to continue in the next decade at 17.5 percent. This will be the fastest growth across all income categories. The share of destitute households is expected to decline by almost 8 percent between financial 2021 and 2031.

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

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, 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-
    Explore at:
    Dataset provided by
    CEIC Data
    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).

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

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  6. T

    India Total Disposable Personal Income

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). India Total Disposable Personal Income [Dataset]. https://tradingeconomics.com/india/disposable-personal-income
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1950 - Dec 31, 2023
    Area covered
    India
    Description

    Disposable Personal Income in India increased to 296383300 INR Million in 2023 from 273364818.90 INR Million in 2022. This dataset provides - India Total Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. Average annual household expenditure in India FY 2021, by income class

    • statista.com
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Average annual household expenditure in India FY 2021, by income class [Dataset]. https://www.statista.com/statistics/1450063/india-household-expenditure-by-income-class/
    Explore at:
    Dataset updated
    Jun 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 expenditure of rich households in India was over * million Indian rupees, a stark contrast to destitute category which spent ** thousand Indian rupees. A rich household spent almost ** times that of a destiture household, * times that of an aspirer household, and almost * times that of a middle-class household.

  8. India HUDCO: No of Dwelling Approved: Residential: Middle Income Group

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2020). India HUDCO: No of Dwelling Approved: Residential: Middle Income Group [Dataset]. https://www.ceicdata.com/en/india/housing-statistics-housing-and-urban-development-corporation-limited-hudco-number-of-dwelling-approved/hudco-no-of-dwelling-approved-residential-middle-income-group
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2008 - Mar 1, 2019
    Area covered
    India
    Variables measured
    Construction Started
    Description

    India HUDCO: Number of Dwelling Approved: Residential: Middle Income Group data was reported at 115,318.000 Unit in 2019. This records an increase from the previous number of 203.000 Unit for 2018. India HUDCO: Number of Dwelling Approved: Residential: Middle Income Group data is updated yearly, averaging 6,086.000 Unit from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 115,318.000 Unit in 2019 and a record low of 203.000 Unit in 2018. India HUDCO: Number of Dwelling Approved: Residential: Middle Income Group data remains active status in CEIC and is reported by Housing and Urban Development Corporation Limited. The data is categorized under Global Database’s India – Table IN.ED009: Housing Statistics: Housing and Urban Development Corporation Limited (HUDCO): Number of Dwelling Approved.

  9. Pre and post COVID-19 size of income tiers in India 2020

    • statista.com
    Updated Jul 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Pre and post COVID-19 size of income tiers in India 2020 [Dataset]. https://www.statista.com/statistics/1266075/india-pre-and-post-covid-income-tier-size/
    Explore at:
    Dataset updated
    Jul 10, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    India
    Description

    According to data published by the Pew Research Center, India is estimated to have had a shrinking middle class as a result of the global recession brought on by the COVID-19 pandemic. It is estimated that the number of people in the middle income tier in India decreased from 99 million to 66 million following the COVID-19 global recession.

  10. Russia Household Income per Capita

    • ceicdata.com
    Updated Feb 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Russia Household Income per Capita [Dataset]. https://www.ceicdata.com/en/indicator/russia/annual-household-income-per-capita
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    CEIC Data
    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, 2013 - Dec 1, 2024
    Area covered
    Russia
    Description

    Key information about Russia Household Income per Capita

    • Russia Annual Household Income per Capita reached 8,179.123 USD in Dec 2024, compared with the previous value of 7,549.747 USD in Dec 2023.
    • Russia Annual Household Income per Capita data is updated yearly, available from Dec 1992 to Dec 2024, with an averaged value of 5,882.623 USD.
    • The data reached an all-time high of 9,660.697 USD in Dec 2013 and a record low of 183.584 USD in Dec 1992.
    • In the latest reports, Retail Sales of Russia grew 5.200 % YoY in Dec 2024.

    CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. Federal State Statistics Service provides Average Household Income per Capita in local currency. The Bank of Russia average market exchange rate is used for currency conversions.

  11. s

    Household income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 5, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Race Disparity Unit (2022). Household income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/household-income/latest
    Explore at:
    csv(261 KB)Available download formats
    Dataset updated
    Sep 5, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

  12. Metadata record for: Physical activity, time use, and food intakes of rural...

    • springernature.figshare.com
    txt
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Scientific Data Curation Team (2023). Metadata record for: Physical activity, time use, and food intakes of rural households in Ghana, India, and Nepal [Dataset]. http://doi.org/10.6084/m9.figshare.11871537.v2
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Scientific Data Curation Team
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Ghana, Nepal, India
    Description

    This dataset contains key characteristics about the data described in the Data Descriptor Physical activity, time use, and food intakes of rural households in Ghana, India, and Nepal. Contents:

        1. human readable metadata summary table in CSV format
    
    
        2. machine readable metadata file in JSON format 
         Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.
    
  13. T

    India - Merchandise Imports From Developing Economies Within Region (% Of...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 17, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). India - Merchandise Imports From Developing Economies Within Region (% Of Total Merchandise Imports) [Dataset]. https://tradingeconomics.com/india/merchandise-imports-from-developing-economies-within-region-percent-of-total-merchandise-imports-wb-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 17, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    India
    Description

    Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) in India was reported at 0.76123 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Merchandise imports from developing economies within region (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  14. f

    A Cross-Sectional Study of the Microeconomic Impact of Cardiovascular...

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mark D. Huffman; Krishna D. Rao; Andres Pichon-Riviere; Dong Zhao; S. Harikrishnan; Kaushik Ramaiya; V. S. Ajay; Shifalika Goenka; Juan I. Calcagno; Joaquín E. Caporale; Shaoli Niu; Yan Li; Jing Liu; K. R. Thankappan; Meena Daivadanam; Jan van Esch; Adrianna Murphy; Andrew E. Moran; Thomas A. Gaziano; Marc Suhrcke; K. Srinath Reddy; Stephen Leeder; Dorairaj Prabhakaran (2023). A Cross-Sectional Study of the Microeconomic Impact of Cardiovascular Disease Hospitalization in Four Low- and Middle-Income Countries [Dataset]. http://doi.org/10.1371/journal.pone.0020821
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mark D. Huffman; Krishna D. Rao; Andres Pichon-Riviere; Dong Zhao; S. Harikrishnan; Kaushik Ramaiya; V. S. Ajay; Shifalika Goenka; Juan I. Calcagno; Joaquín E. Caporale; Shaoli Niu; Yan Li; Jing Liu; K. R. Thankappan; Meena Daivadanam; Jan van Esch; Adrianna Murphy; Andrew E. Moran; Thomas A. Gaziano; Marc Suhrcke; K. Srinath Reddy; Stephen Leeder; Dorairaj Prabhakaran
    License

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

    Description

    ObjectiveTo estimate individual and household economic impact of cardiovascular disease (CVD) in selected low- and middle-income countries (LMIC). BackgroundEmpirical evidence on the microeconomic consequences of CVD in LMIC is scarce. Methods and FindingsWe surveyed 1,657 recently hospitalized CVD patients (66% male; mean age 55.8 years) from Argentina, China, India, and Tanzania to evaluate the microeconomic and functional/productivity impact of CVD hospitalization. Respondents were stratified into three income groups. Median out-of-pocket expenditures for CVD treatment over 15 month follow-up ranged from 354 international dollars (2007 INT$, Tanzania, low-income) to INT$2,917 (India, high-income). Catastrophic health spending (CHS) was present in >50% of respondents in China, India, and Tanzania. Distress financing (DF) and lost income were more common in low-income respondents. After adjustment, lack of health insurance was associated with CHS in Argentina (OR 4.73 [2.56, 8.76], India (OR 3.93 [2.23, 6.90], and Tanzania (OR 3.68 [1.86, 7.26] with a marginal association in China (OR 2.05 [0.82, 5.11]). These economic effects were accompanied by substantial decreases in individual functional health and productivity. ConclusionsIndividuals in selected LMIC bear significant financial burdens following CVD hospitalization, yet with substantial variation across and within countries. Lack of insurance may drive much of the financial stress of CVD in LMIC patients and their families.

  15. s

    Income distribution

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Income distribution [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/income-distribution/latest
    Explore at:
    csv(542 KB)Available download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    75% of households from the Bangladeshi ethnic group were in the 2 lowest income quintiles (after housing costs were deducted) between April 2021 and March 2024.

  16. T

    India - Merchandise Exports To Developing Economies In Sub-Saharan Africa (%...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 2, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). India - Merchandise Exports To Developing Economies In Sub-Saharan Africa (% Of Total Merchandise Exports) [Dataset]. https://tradingeconomics.com/india/merchandise-exports-to-developing-economies-in-sub-saharan-africa-percent-of-total-merchandise-exports-wb-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 2, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    India
    Description

    Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) in India was reported at 8.972 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  17. v

    India Full Service Restaurants Market Size By Restaurant Type (Casual...

    • verifiedmarketresearch.com
    Updated Apr 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    VERIFIED MARKET RESEARCH (2025). India Full Service Restaurants Market Size By Restaurant Type (Casual Dining, Fine Dining, Fast Casual), By Cuisine Type (American Cuisine, Italian Cuisine, Mexican Cuisine), By Service Type (Table Service, Counter Service, Self-Service), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/india-full-service-restaurants-market/
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Asia-Pacific, India
    Description

    India Full Service Restaurants Market size was valued at USD 11.12 Billion in 2024 and is expected to reach USD 26 Billion by 2032, growing at a CAGR of 11.2% from 2026 to 2032.Key Market Drivers:Increasing Middle-Class Population: India's middle class is one of the world's fastest expanding groups and its expansion is important to the growth of the FSR market. By 2030, India's middle class is estimated to number more than 600 Million. As the middle class grows, so does the need for higher-quality, variety eating options, as people with larger discretionary incomes go out more frequently.Increasing disposable income: As India's economy grows, disposable incomes rise rapidly. By 2025, it is expected that the average disposable income of Indian households will increase by more than 10%. This increase in disposable income is driving up spending on discretionary items like dining out.

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

    • statista.com
    Updated Feb 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Average annual household saving in India FY 2021, by income class [Dataset]. https://www.statista.com/statistics/1450072/india-household-saving-by-income-class/
    Explore at:
    Dataset updated
    Feb 16, 2024
    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 606 thousand Indian rupees, a stark contrast to destitute category which saved only five thousand Indian rupees. The middle-class saved almost 130 thousand Indian rupees annually. During the year, a rich household spent almost 25 times that of a destitute household, eight times that of an aspirer household, and almost three times that of a middle-class household.

  19. T

    India - Merchandise Exports To Developing Economies In Middle East & North...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). India - Merchandise Exports To Developing Economies In Middle East & North Africa (% Of Total Merchandise Exports) [Dataset]. https://tradingeconomics.com/india/merchandise-exports-to-developing-economies-in-middle-east--north-africa-percent-of-total-merchandise-exports-wb-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    India
    Description

    Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) in India was reported at 3.6294 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  20. f

    table1_Utilisation, Availability and Price Changes of Medicines and...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mainul Haque; Santosh Kumar; Jaykaran Charan; Rohan Bhatt; Salequl Islam; Siddhartha Dutta; Jha Pallavi Abhayanand; Yesh Sharma; Israel Sefah; Amanj Kurdi; Janney Wale; Brian Godman (2023). table1_Utilisation, Availability and Price Changes of Medicines and Protection Equipment for COVID-19 Among Selected Regions in India: Findings and Implications.docx [Dataset]. http://doi.org/10.3389/fphar.2020.582154.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Mainul Haque; Santosh Kumar; Jaykaran Charan; Rohan Bhatt; Salequl Islam; Siddhartha Dutta; Jha Pallavi Abhayanand; Yesh Sharma; Israel Sefah; Amanj Kurdi; Janney Wale; Brian Godman
    License

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

    Area covered
    India
    Description

    Background: COVID-19 has already claimed a considerable number of lives worldwide. However, there are concerns with treatment recommendations given the extent of conflicting results with suggested treatments and misinformation, some of which has resulted in increased prices and shortages alongside increasing use and prices of personal protective equipment (PPE). This is a concern in countries such as India where there have been high patient co-payments and an appreciable number of families going into poverty when members become ill. However, balanced against pricing controls. Community pharmacists play a significant role in disease management in India, and this will remain. Consequently, there is a need to review prices and availability of pertinent medicines during the early stages of the COVID-19 pandemic in India to provide future direction.Objective: Assess current utilisation and price changes as well as shortages of pertinent medicines and equipment during the early stages of the pandemic.Our Approach: Multiple approach involving a review of treatments and ongoing activities across India to reduce the spread of the virus alongside questioning pharmacies in selected cities from early March to end May 2020.Our Activities: 111 pharmacies took part, giving a response rate of 80%. Encouragingly, no change in utilisation of antimalarial medicines in 45% of pharmacies despite endorsements and for antibiotics in 57.7% of pharmacies, helped by increasing need for a prescription for dispensing. In addition, increased purchasing of PPE (over 98%). No price increases were seen for antimalarials and antibiotics in 83.8 and 91.9% of pharmacies respectively although shortages were seen for antimalarials in 70.3% of pharmacies, lower for antibiotics (9.9% of pharmacies). However, price increases were typically seen for PPE (over 90% of stores) as well as for analgesics (over 50% of pharmacies). Shortages were also seen for PPE (88.3%).Conclusion: The pandemic has impacted on utilisation and prices of pertinent medicines and PPE in India but moderated by increased scrutiny. Key stakeholder groups can play a role with enhancing evidenced-based approaches and reducing inappropriate purchasing in the future.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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/
Organization logo

Consumer share ranked as global middle-income earners and above India 2024, by city

Explore at:
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.

Search
Clear search
Close search
Google apps
Main menu