12 datasets found
  1. Consumer Pyramids Survey, 2014 [India]

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Dec 20, 2017
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    Vyas, Mahesh (2017). Consumer Pyramids Survey, 2014 [India] [Dataset]. http://doi.org/10.3886/ICPSR36782.v2
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    sas, stata, r, delimited, spss, asciiAvailable download formats
    Dataset updated
    Dec 20, 2017
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Vyas, Mahesh
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36782/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36782/terms

    Time period covered
    2014
    Area covered
    India
    Description

    The Consumer Pyramids is the largest survey of households in India. The survey contains record-level data that are delivered in the form of population estimates. The survey contains multiple databases that contain population estimates on household demographics, household income and expenses, borrowing by household, and household assets. The data also contain individual-level health status, financial inclusion, education level, and caste and literacy estimates. Demographic information collected include gender, age, religion, education, and occupation. Database Composition: The Consumer Pyramids Survey is conducted over the course of four-month periods or waves throughout the year totaling three rounds a year. This collection includes the following six databases: People of India; Household Income and Expenses; Household Amenities, Assets, and Liabilities; Household Expenses; Composition of Incomes at the member level; Composition of Incomes at the household level.

  2. consumer-pyramids.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, consumer-pyramids.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/consumer-pyramids.com/
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    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 1, 2025
    Description

    Explore the historical Whois records related to consumer-pyramids.com (Domain). Get insights into ownership history and changes over time.

  3. Poverty indicators according to CPHS and NFHS-5 in India 2019

    • statista.com
    Updated Sep 13, 2022
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    Statista (2022). Poverty indicators according to CPHS and NFHS-5 in India 2019 [Dataset]. https://www.statista.com/statistics/1272511/india-poverty-indicators-cphs-versus-nfhs-5/
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    Dataset updated
    Sep 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    India
    Description

    The Consumer Pyramid Household Survey in 2019 reported that the overwhelming majority of 99 percent of Indian households had a toilet, and respectively 94 percent had TV and in-house water. However, the corresponding figures from the latest National Family Health Survey (NFHS-5) suggested much higher shares of households living in deprivation. According to the source, these substantial discrepancies might suggest that the CPHS sample was not as nationally representative as claimed, leaving many poor households to be under-represented.

  4. Allometric Trophic Niche Network model outputs and processing code from: On...

    • figshare.com
    zip
    Updated Jan 9, 2018
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    Richard Williams (2018). Allometric Trophic Niche Network model outputs and processing code from: On the prevalence and dynamics of inverted trophic pyramids and otherwise top-heavy communities [Dataset]. http://doi.org/10.6084/m9.figshare.5660398.v3
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    zipAvailable download formats
    Dataset updated
    Jan 9, 2018
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Richard Williams
    License

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

    Description

    This zip file contains raw and processed data files from Allometric Trophic Niche Network modeling. Details of the models are in the paper's methods or supplements.

  5. Pyramid Tea Bag Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jul 5, 2025
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    Growth Market Reports (2025). Pyramid Tea Bag Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/pyramid-tea-bag-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Pyramid Tea Bag Market Outlook



    According to our latest research, the global pyramid tea bag market size reached USD 1.47 billion in 2024, with a robust compound annual growth rate (CAGR) of 6.3% observed over the last year. The market is projected to further expand and attain a value of USD 2.51 billion by 2033, driven by evolving consumer preferences, premiumization trends, and growing demand for convenience in tea consumption. This growth is underpinned by increasing awareness regarding the quality and flavor retention offered by pyramid tea bags, as well as the rising popularity of specialty and herbal teas across both developed and emerging regions.




    A primary growth factor for the pyramid tea bag market is the shift in consumer behavior towards premium and specialty teas. Consumers are increasingly seeking high-quality, flavorful, and aromatic tea experiences, and pyramid tea bags, with their unique three-dimensional structure, allow for better infusion and expansion of whole tea leaves. This not only enhances the sensory experience but also aligns with the growing demand for natural and authentic flavors. As the global population becomes more health-conscious, there is a marked preference for teas that are perceived to offer wellness benefits, such as green tea and herbal blends. The pyramid tea bag format is particularly well-suited to accommodate these premium blends, further fueling market growth.




    Another significant driver is the innovation in packaging materials and sustainable practices. Manufacturers are investing in biodegradable and compostable materials such as polylactic acid (PLA) and non-woven fabrics to address environmental concerns associated with traditional nylon tea bags. The adoption of sustainable packaging is not only a response to regulatory pressures but also a strategic move to appeal to eco-conscious consumers. This trend is particularly prominent in North America and Europe, where stringent regulations and a strong environmental advocacy culture are shaping purchasing decisions. The integration of sustainable materials in pyramid tea bags is expected to be a key differentiator and growth lever in the coming years.




    The proliferation of modern retail formats and e-commerce platforms has also played a crucial role in expanding the reach of pyramid tea bags. Supermarkets, hypermarkets, specialty stores, and online retail channels have made premium tea products more accessible to a broader consumer base. The convenience of online shopping, coupled with the availability of a wide variety of tea blends and attractive packaging, has significantly contributed to the market’s upward trajectory. Furthermore, commercial applications in hotels, restaurants, and cafés are increasingly adopting pyramid tea bags to provide a premium tea experience to their customers, further bolstering market demand.




    From a regional perspective, Asia Pacific dominates the pyramid tea bag market, accounting for the largest share in 2024, owing to the region’s deep-rooted tea culture, expanding middle-class population, and rising disposable incomes. North America and Europe follow closely, driven by growing consumer interest in specialty teas and sustainable packaging. Middle East & Africa and Latin America are emerging as promising markets, supported by increasing urbanization and a shift toward Western lifestyles. These regions are expected to register higher than average growth rates during the forecast period, as global brands and local players intensify their market penetration efforts.





    Material Type Analysis



    The pyramid tea bag market is segmented by material type into nylon, PLA (polylactic acid), non-woven fabric, cotton, and others. Nylon has historically been the material of choice due to its strength, transparency, and ability to retain the shape of the pyramid, which is essential for optimal infusion. The transparency of nylon also allows consumers to visually appreciate the quality and contents of the tea, which is a significant selling poi

  6. Consumer problems experience rate of offline shopping channels South Korea...

    • statista.com
    Updated Jun 26, 2024
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    Statista (2024). Consumer problems experience rate of offline shopping channels South Korea 2021 [Dataset]. https://www.statista.com/statistics/1342929/south-korea-consumer-problems-experience-rate-of-offline-shopping-channels/
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    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 14, 2021 - Jun 23, 2021
    Area covered
    South Korea
    Description

    According to a survey on consumer life in South Korea in 2021, about 66.6 percent of respondents stated that they experienced problems with telephone sales. Over 20 percent of respondents also faced problems with multilevel marketing, also called pyramid selling, and door-to-door sales.

  7. Pyramid Soundproof Cotton Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Pyramid Soundproof Cotton Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-pyramid-soundproof-cotton-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Dec 3, 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

    Pyramid Soundproof Cotton Market Outlook



    The Pyramid Soundproof Cotton Market is experiencing noteworthy growth, with the market size valued at approximately USD 1.2 billion in 2023 and projected to reach USD 2.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.8%. This growth can be attributed to increased awareness about noise pollution and its adverse effects on health, as consumers and industries alike are recognizing the importance of soundproofing solutions. Moreover, the continuous advancements in building standards and regulations that emphasize acoustics are further propelling the demand for soundproof materials like pyramid soundproof cotton, which is renowned for its efficiency in dampening sound and its environmentally friendly nature.



    The increasing urbanization and the growth of metropolitan areas have significantly contributed to the demand for soundproofing materials. As cities expand, noise pollution becomes an inevitable challenge, leading to adverse health impacts such as sleep disturbances and increased stress levels among residents. This has prompted both residential and commercial sectors to adopt soundproofing solutions, thus driving the market for pyramid soundproof cotton. Moreover, the rise in construction activities, particularly in emerging economies, is amplifying the demand for effective soundproofing materials, as developers aim to improve the quality of living by incorporating noise-reduction features into their projects. This trend is further supported by government initiatives and policies that emphasize the reduction of noise pollution, thereby boosting the market growth.



    Technological advancements and innovations in soundproofing materials are also playing a crucial role in the market's expansion. Enhanced product features such as improved sound absorption, durability, and eco-friendliness are attracting a broader range of consumers and industries. Manufacturers are investing in research and development to create more effective and sustainable soundproofing solutions, thus widening the scope of pyramid soundproof cotton applications. Additionally, the integration of digital technologies in the construction sector, such as Building Information Modeling (BIM), is facilitating better planning and implementation of soundproofing strategies, further increasing the adoption of pyramid soundproof cotton.



    The rise of e-commerce and the proliferation of online retail channels have made it easier for consumers to access a wide variety of soundproofing products, including pyramid soundproof cotton. The convenience of online shopping, combined with competitive pricing and diverse product offerings, is attracting more consumers to purchase soundproofing materials online. This shift in consumer behavior is compelling traditional brick-and-mortar retailers to enhance their online presence and adopt omni-channel strategies to capture a larger market share. Consequently, the distribution channel landscape is evolving, contributing to the growth of the pyramid soundproof cotton market.



    Product Type Analysis



    The Pyramid Soundproof Cotton Market is segmented into various product types, including acoustic panels, soundproofing foam, and insulation batts. Acoustic panels, often used in recording studios, concert halls, and auditoriums, are designed to manage reverberation and enhance sound clarity by absorbing sound waves. Their effectiveness in improving acoustics in various settings is leading to increased demand in both commercial and residential sectors. As technology progresses, manufacturers are developing innovative designs and materials that further enhance the performance of acoustic panels, making them a popular choice among architects and builders aiming to achieve superior soundproofing results.



    Soundproofing foam, another crucial product type, is gaining traction due to its versatility and ease of installation. It is commonly used in both temporary and permanent soundproofing applications, providing an effective barrier against noise. The foam’s ability to fit into irregular spaces and its lightweight nature make it an attractive choice for a multitude of environments, including industrial settings where noise levels are typically high. Moreover, the growing trend of home studios and podcasting has spurred demand for soundproofing foam among homeowners and content creators looking to enhance sound quality in their personal spaces.



    Insulation batts, traditionally used for thermal insulation, are increasingly being recognized for their soundproofing properties. This dual functionality is driving their popularity

  8. d

    Data from: Food and Nutrition Security in Urban Slums: Consumer Survey data...

    • search.dataone.org
    Updated Nov 8, 2023
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    Onyango, Kevin Omondi; Chege, Christine Gacheri Kiria; Jager, Matthias; David Karanja; Nkalubo, Stanley (2023). Food and Nutrition Security in Urban Slums: Consumer Survey data for Kenya and Uganda [Dataset]. http://doi.org/10.7910/DVN/LHVTNA
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Onyango, Kevin Omondi; Chege, Christine Gacheri Kiria; Jager, Matthias; David Karanja; Nkalubo, Stanley
    Time period covered
    Jun 1, 2015 - Jun 30, 2016
    Description

    This paper presents data collected in July 2016 to assess the consumption patterns and dietary quality among vulnerable urban consumers at the Base of Pyramid (BoP). The data was collected within the project ‘Making Value Chains Work for Food and Nutrition Security of Vulnerable Populations in East Africa’ which was funded by the German Federal Ministry for Economic Cooperation and Development (BMZ). The project was led by the Bioversity International and the International Center for Tropical Agriculture and implemented in partnership with KALRO, NARO, Goettingen University and UHOH. The project was under the CGIAR flagship program “Food Systems for Healthier Diets” under the Research Program on Agriculture for Nutrition and Health (A4NH) A cross-sectional survey was conducted to collect data with the goal of assessing critical and sensible ways in which market systems work to improve the consumption of more diverse, safe and nutrient-dense foods. The questionnaire had five sections. Section A captured the geographical location of the households and interview day details. Section B captured household demographic details. Section C focused on household nutritious porridge consumption and preferences. In Section D, household access to nutrition information was captured while Section E details household assets and their nominal values. The anonymized data is arranged into six files; 01Identifier16 file contains all the data from section A. Similarly, household demographic information is in file 02Demography16. 03Consumption16, 04Flourattributes16, 05Assets16 and 06Text16 contain household nutritious porridge consumption and sources of the flour, important porridge flour quality attributes, household assets and their values, and crosscutting general household level data respectively. Metodology:Data collection site The data was collected in Nairobi, Kenya and Kampala, Uganda. Nairobi is Kenya’s capital city. Projections by the Kenya Bureau of Statistics (KNBS) indicate that the county’s population will rise from 3.14 million recorded in the 2009 census to 5.96 million by 2022 with an inter-censual growth rate of 3.8 per cent (County Government of Nairobi, 2018). The city has the largest slum in East and Central Africa; Kibera slum, and others such as Kawangware, Mathare, Kangemi, Korogocho, Majengo, Kitui village and Kiambiu. Poverty levels are high in the city with the most affected groups being the unemployed youth, women, persons with disabilities, female and child-headed households, slum dwellers and the aged (County Government of Nairobi, 2018). Poor access to basic infrastructure is also a common characteristic of the many slums in Nairobi. On the other hand, Kampala is Uganda's administrative and commercial capital city with a population of approximately 1.2 million inhabitants (Robinah et al., 2013). Kampala is also a rapidly growing city and is home to Slums such as Bwaise, Katwe, Kisenyi, Kibuli, Katanga, Nabulabye, Naguru2 and Nsambya (Association of Physicians of Uganda, 2018). In Nairobi, Kibera, Embakasi, Mathare and Dagoreti slums were selected as the study site while Bwaise, Kawempe, Kamwokya and Kasubi parishes were the study areas in KampalaA multi-stage sampling strategy was used to select respondents. First, we used the national statistics (Emwanu et al., 2004; KNBS, 2015) and information from the administrative offices to identify four urban BoP locations with the highest poverty levels in each of the two cities. In Nairobi, the selected locations were Kibera, Embakasi, Mathare and Dagoreti while in Kampala data collection was done in Bwaise, Kawempe, Kamwokya and Kasubi parishes. Second, households from these locations were randomly selected, using a systematic random sampling technique. We interviewed a total of 600 households, 300 from Kenya and 300 from Uganda. Survey preparation involved several activities. First, survey tool development, design and programming into SurveyCTO. Second, enumerator recruitment and training. We selected enumerators from a pool of recent graduate applicants with sufficient experience in carrying out household surveys and a good knowledge of the two cities (Nairobi and Kampala). The selected enumerators were then intensively trained for 3 days (11th – 13th July 2016). The training covered each question in the questionnaire, the purpose of each question and a suitable means of handling each question. Enumerators were additionally trained on Computer Aided Personal Interview (CAPI) tools and using tablets in data collection. Prior to the actual fieldwork, the teams held a pretest of the survey in non-sampled villages in Nairobi and Kampala. Actual data collection took 15 days (16th – 30th July 2016) under the guidance of team leaders in collaboration with local authorities and village elders. During the survey, a research associate from the Bioversity International and the International Center for Tropical Agriculture checked for inconsistencies, patterns...

  9. Community Consumer Survey (250 rows)

    • kaggle.com
    zip
    Updated Mar 16, 2021
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    Jason Cifra (2021). Community Consumer Survey (250 rows) [Dataset]. https://www.kaggle.com/jasoncifra/community-consumer-survey
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    zip(40577 bytes)Available download formats
    Dataset updated
    Mar 16, 2021
    Authors
    Jason Cifra
    Description

    Hello!

    This dataset was produced to help beginners practice simple visualizations and analysis. The dataset was designed with the help of Mockaroo! The set contains both dimensions and elements that are easy to play with. It was designed primarily for Pyramid Analytics but any BI tool will do.

  10. D

    Data on logistics and consumer behavior Sao Paulo City 2019

    • test.dataverse.nl
    • dataverse.nl
    pdf, xlsx
    Updated Mar 8, 2022
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    Jan Fransoo; Jan Fransoo; José Geraldo Vidal Vieira; Hector Angel Ramirez Navarro; José Geraldo Vidal Vieira; Hector Angel Ramirez Navarro (2022). Data on logistics and consumer behavior Sao Paulo City 2019 [Dataset]. http://doi.org/10.34894/TBLFYZ
    Explore at:
    pdf(184507), pdf(508298), pdf(186602), xlsx(54927), pdf(21013), pdf(158658), xlsx(115720), xlsx(108756), pdf(1206346), xlsx(86947)Available download formats
    Dataset updated
    Mar 8, 2022
    Dataset provided by
    DataverseNL (test)
    Authors
    Jan Fransoo; Jan Fransoo; José Geraldo Vidal Vieira; Hector Angel Ramirez Navarro; José Geraldo Vidal Vieira; Hector Angel Ramirez Navarro
    License

    https://tdvnl.dans.knaw.nl/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34894/TBLFYZhttps://tdvnl.dans.knaw.nl/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34894/TBLFYZ

    Area covered
    São Paulo
    Description

    This research aims to answer the following questions: a) What are BOP (Base of the Pyramid) and HIC (High Income Consumers) buying habits when they buy products at a local store? b) What are the characteristics of receiving FMCG goods at small retailers in both regions? c) What are the main problems that make it difficult for carriers to deliver goods in the BOP district?

  11. Flash Eurobarometer 282 (Attitudes Towards Cross-border Sales and Consumer...

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +1more
    Updated Mar 14, 2023
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    Papacostas, Antonis (2023). Flash Eurobarometer 282 (Attitudes Towards Cross-border Sales and Consumer Protection) [Dataset]. http://doi.org/10.4232/1.10089
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    European Commissionhttp://ec.europa.eu/
    Authors
    Papacostas, Antonis
    Time period covered
    Jul 13, 2009 - Jul 23, 2009
    Area covered
    Poland, Lithuania, Denmark, Ireland, Finland, Sweden, Spain, Cyprus, Hungary, Austria
    Measurement technique
    Face-to-face interview, Telephone interview: Computer-assisted (CATI), Telephone interviews were conducted in each country, with the exception of Bulgaria, Czech Republic, Estonia, Latvia, Lithuania, Hungary, Poland, Romania, and Slovakia where both telephone and face-to-face interviews were conducted (70% webCATI and 30% F2F interviews).
    Description

    Consumer behaviour and consumer protection in selected areas.
    Topics: difficulty to compare offers with regard to a current bank account; switch of current bank account in the last two years; difficulty to compare offers from different electricity providers; switch of electricity provider in the last two years; development of electricity prices in the last twelve months; purchase of goods or services in the past twelve months via the internet from a seller located: in the own country, in another EU country, outside the EU; purchase of goods or services in the past twelve months by phone from a seller located: in the own country, in another EU country, outside the EU; purchase of goods or services in the past twelve months by post from a seller located: in the own country, in another EU country, outside the EU; total value of goods or services purchased at a distance in the last twelve months from sellers located in another EU country; purchase of products in another EU country while on holiday or on business or shopping trip; experienced problems when buying in the own country and reaction to the problem; satisfaction with the handling of the complaint; reasons for not complaining; further steps in case of dissatisfaction; reaction of the seller: replacement of product, repair of product, reimbursement of product, price reduction; main reasons for complaining; approval of the following statements: easy to resolve disputes with sellers through arbitration, mediation, or conciliation, easy to resolve disputes through the courts, trust in independent consumer organizations and in public authorities, feeling of being protected by existing measures of consumer protection, sellers and providers in the own country respect consumer rights, willingness to defend the own rights in court if joining with other consumers who are complaining about the same thing, change in consumption behaviour as a result of media stories; experiences with advertisements in the past twelve months: noticed unsolicited commercial advertisements, noticed misleading or deceptive advertisements, responded to an advertisement which has been found to be misleading or deceptive, noticed fraudulent advertisements, responded to an advertisement which has been found to be fraudulent; experiences with selected unfair commercial practices in the past twelve months: so called ´free´ products, misleading health claims, misleading green claims, misleading prize draws or lotteries, misleading or aggressive telephone selling, misleading or aggressive doorstep selling, omission of information on expensive telephone numbers, unsolicited deliveries, pyramid schemes, misleading price; active search for safety information about non-food products in the last twelve months; used information sources; assessment of non-food product safety in the own country; awareness of recalls of non-food products from the market in the last twelve months; source of the information; personally affected by a non-food product recall; reaction to the problem; frequency of reading privacy notices on websites in the last twelve months; comprehensibility of privacy notices; reasons for not reading privacy notices; confidence in privacy protection with regard to visited websites in the last twelve months; use of these websites despite concern; attitude towards the following statements with regard to simplifying selected financial products: pensions, savings accounts, shares and bonds, other investment products, mortgages, personal loans, credit cards, current accounts, debit cards.

    Demography: sex; age; age at end of education; occupation; professional position; type of community; internet connection at home.

    Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; call history; region; weighting factor.

  12. Influence of dietary guidelines on purchasing behavior in the Netherlands...

    • statista.com
    Updated Oct 5, 2018
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    Statista (2018). Influence of dietary guidelines on purchasing behavior in the Netherlands 2020 [Dataset]. https://www.statista.com/statistics/778980/influence-of-dietary-guidelines-on-purchasing-behavior-in-the-netherlands/
    Explore at:
    Dataset updated
    Oct 5, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2, 2020 - Jun 11, 2020
    Area covered
    Netherlands
    Description

    According to the results of the 2020 Deloitte Consumer survey, the majority of consumers in the Netherlands were not (very) strongly influenced by dietary guidelines when purchasing food products. Just over ** percent of survey respondents indicated that they were influenced or strongly influenced by dietary guidelines such as the food pyramid, while approximately ** percent of respondents indicated that their purchase behavior was barely or not at all affected by such guidelines.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Vyas, Mahesh (2017). Consumer Pyramids Survey, 2014 [India] [Dataset]. http://doi.org/10.3886/ICPSR36782.v2
Organization logo

Consumer Pyramids Survey, 2014 [India]

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4 scholarly articles cite this dataset (View in Google Scholar)
sas, stata, r, delimited, spss, asciiAvailable download formats
Dataset updated
Dec 20, 2017
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Vyas, Mahesh
License

https://www.icpsr.umich.edu/web/ICPSR/studies/36782/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36782/terms

Time period covered
2014
Area covered
India
Description

The Consumer Pyramids is the largest survey of households in India. The survey contains record-level data that are delivered in the form of population estimates. The survey contains multiple databases that contain population estimates on household demographics, household income and expenses, borrowing by household, and household assets. The data also contain individual-level health status, financial inclusion, education level, and caste and literacy estimates. Demographic information collected include gender, age, religion, education, and occupation. Database Composition: The Consumer Pyramids Survey is conducted over the course of four-month periods or waves throughout the year totaling three rounds a year. This collection includes the following six databases: People of India; Household Income and Expenses; Household Amenities, Assets, and Liabilities; Household Expenses; Composition of Incomes at the member level; Composition of Incomes at the household level.

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