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nutrition

Global Consumption Database 2010 (version 2014-03)

Afghanistan, Albania, Armenia...and 88 more, 2010
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Reference ID
WLD_2010_GCD_v01_M_v01_A_ESS
Producer(s)
World Bank, Development Data Group (DECDG)
Collections
Nutrition
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Mar 26, 2026
Last modified
Apr 01, 2026
Page views
147
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    WLD_2010_GCD_v01_M_v01_A_ESS

    Title

    Global Consumption Database 2010 (version 2014-03)

    Country
    Name Country code
    Afghanistan AFG
    Albania ALB
    Armenia ARM
    Azerbaijan AZE
    Bangladesh BGD
    Belarus BLR
    Benin BEN
    Bhutan BTN
    Bolivia (Plurinational State of) BOL
    Bosnia and Herzegovina BIH
    Brazil BRA
    Bulgaria BGR
    Burkina Faso BFA
    Burundi BDI
    Cambodia KHM
    Cameroon CMR
    Cabo Verde CPV
    Chad TCD
    China CHN
    Colombia COL
    Congo COG
    Côte d'Ivoire CIV
    Democratic Republic of the Congo COD
    Djibouti DJI
    Egypt EGY
    El Salvador SLV
    Eswatini SWZ
    Ethiopia ETH
    Fiji FJI
    Gabon GAB
    Gambia GMB
    Ghana GHA
    Guatemala GTM
    Guinea GIN
    Honduras HND
    India IND
    Indonesia IDN
    Iraq IRQ
    Jamaica JAM
    Jordan JOR
    Kazakhstan KAZ
    Kenya KEN
    Kyrgyzstan KGZ
    Lao People's Democratic Republic LAO
    Latvia LVA
    Lesotho LSO
    Liberia LBR
    Lithuania LTU
    North Macedonia MKD
    Madagascar MDG
    Malawi MWI
    Malaysia MYS
    Maldives MDV
    Mali MLI
    Mauritania MRT
    Mauritius MUS
    Mexico MEX
    Mongolia MNG
    Montenegro MNE
    Morocco MAR
    Mozambique MOZ
    Namibia NAM
    Nepal NPL
    Niger NER
    Nigeria NGA
    Pakistan PAK
    Papua New Guinea PNG
    Paraguay PRY
    Peru PER
    Philippines PHL
    Republic of Moldova MDA
    Romania ROU
    Russian Federation RUS
    Rwanda RWA
    Sao Tome and Principe STP
    Senegal SEN
    Serbia SRB
    Sierra Leone SLE
    South Africa ZAF
    Sri Lanka LKA
    Tajikistan TJK
    Tanzania TZA
    Thailand THA
    Timor-Leste TLS
    Togo TGO
    Türkiye TUR
    Uganda UGA
    Ukraine UKR
    Viet Nam VNM
    Yemen YEM
    Zambia ZMB
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The Global Consumption Database (GCD) contains information on consumption patterns at the national level, by urban/rural area, and by income level (4 categories: lowest, low, middle, higher with thresholds based on a global income distribution), for 92 low and middle-income countries, as of 2010. The data were extracted from national household surveys. The consumption is presented by category of products and services of the International Comparison Program (ICP) 2005, which mostly corresponds to COICOP. For three countries, sub-national data are also available (Brazil, India, and South Africa). Data on population estimates are also included.

    The data file can be used for the production of the following tables (by urban/rural and income class/consumption segment):

    • Sample Size by Country, Area and Consumption Segment (Number of Households)
    • Population 2010 by Country, Area and Consumption Segment
    • Population 2010 by Country, Area and Consumption Segment, as a Percentage of the National Population
    • Population 2010 by Country, Area and Consumption Segment, as a Percentage of the Area Population
    • Population 2010 by Country, Age Group, Sex and Consumption Segment
    • Household Consumption 2010 by Country, Sector, Area and Consumption Segment in Local Currency (Million)
    • Household Consumption 2010 by Country, Sector, Area and Consumption Segment in $PPP (Million)
    • Household Consumption 2010 by Country, Sector, Area and Consumption Segment in US$ (Million)
    • Household Consumption 2010 by Country, Category of Product/Service, Area and Consumption Segment in Local Currency (Million)
    • Household Consumption 2010 by Country, Category of Product/Service, Area and Consumption Segment in $PPP (Million)
    • Household Consumption 2010 by Country, Category of Product/Service, Area and Consumption Segment in US$ (Million)
    • Household Consumption 2010 by Country, Product/Service, Area and Consumption Segment in Local Currency (Million)
    • Household Consumption 2010 by Country, Product/Service, Area and Consumption Segment in $PPP (Million)
    • Household Consumption 2010 by Country, Product/Service, Area and Consumption Segment in US$ (Million)
    • Per Capita Consumption 2010 by Country, Sector, Area and Consumption Segment in Local Currency
    • Per Capita Consumption 2010 by Country, Sector, Area and Consumption Segment in US$
    • Per Capita Consumption 2010 by Country, Sector, Area and Consumption Segment in $PPP
    • Per Capita Consumption 2010 by Country, Category of Product/Service, Area and Consumption Segment in Local Currency
    • Per Capita Consumption 2010 by Country, Category of Product/Service, Area and Consumption Segment in US$
    • Per Capita Consumption 2010 by Country, Category of Product/Service, Area and Consumption Segment in $PPP
    • Per Capita Consumption 2010 by Country, Product or Service, Area and Consumption Segment in Local Currency
    • Per Capita Consumption 2010 by Country, Product or Service, Area and Consumption Segment in US$
    • Per Capita Consumption 2010 by Country, Product or Service, Area and Consumption Segment in $PPP
    • Consumption Shares 2010 by Country, Sector, Area and Consumption Segment (Percent)
    • Consumption Shares 2010 by Country, Category of Products/Services, Area and Consumption Segment (Percent)
    • Consumption Shares 2010 by Country, Product/Service, Area and Consumption Segment (Percent)
    • Percentage of Households who Reported Having Consumed the Product or Service by Country, Consumption Segment and Area (as of Survey Year)
    Kind of Data

    Data derived from survey microdata

    Unit of Analysis

    Households

    Scope

    Notes

    The questionnaires collected information on the consumption patterns of products and services such as:

    • Bread and cereals
    • Meat
    • Fish and seafood
    • Milk, cheese, and eggs
    • Vegetables
    • Clothing
    • Water supply and miscellaneous services relating to the dwelling

    For more information on the questionnaire coverage by country and category see the summary of survey questionnaire coverage of ICP/COICOP categories document in the downloads section.

    Keywords
    Consumption Expenditure Consumption pattern Consumption profile Consumption share Icp basic heading

    Coverage

    Geographic Coverage

    All surveys used have a nationwide coverage.

    For all countries, estimates are provided at the national level and at the urban/rural levels.

    For Brazil, India, and South Africa, data are also provided at the sub-national level (admin 1):

    • Brazil: ACR, Alagoas, Amapa, Amazonas, Bahia, Ceara, Distrito Federal, Espirito Santo, Goias, Maranhao, Mato Grosso, Mato Grosso do Sul, Minas Gerais, Para, Paraiba, Parana, Pernambuco, Piaji, Rio de Janeiro, Rio Grande do Norte, Rio Grande do Sul, Rondonia, Roraima, Santa Catarina, Sao Paolo, Sergipe, Tocatins
    • India: Andaman and Nicobar Islands, Andhra Pradesh, Arinachal Pradesh, Assam, Bihar, Chandigarh, Chattisgarh, Dadra and Nagar Haveli, Daman and Diu, Delhi, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Jharkhand, Karnataka, Kerala, Lakshadweep, Madya Pradesh, Maharastra, Manipur, Meghalaya, Mizoram, Nagaland, Orissa, Pondicherry, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, Uttaranchal, West Bengal
    • South Africa: Eastern Cape, Free State, Gauteng, Kwazulu Natal, Limpopo, Mpulamanga, Northern Cape, North West, Western Cape
    Universe

    The universe of each survey is composed of ordinary households only. Institutional households (prisons, military barracks, hospitals, convents, and others) are not covered by household surveys. Homeless and nomadic populations and visitors present in a country during a survey are also excluded from the sample.

    Producers and sponsors

    Primary investigators
    Name
    World Bank, Development Data Group (DECDG)

    Sampling

    Sampling Procedure

    The sample size for individual surveys ranges from less than 2000 households to more than 100 000.

    Data collection

    Dates of Data Collection
    Start End
    2010 2010
    Data Collection Notes

    Few developing countries conduct household consumption or expenditure surveys on an annual basis. International organizations recommend conducting such surveys every three or four years. The surveys used in the database were conducted between 2000 and 2010 (except the one for Djibouti, which was conducted in 1996); most were conducted during the period 2007-10. All data presented in the Global Consumption Database are as of 2010. When based on a survey conducted before 2010, the estimates were obtained by extrapolation, as described in the notes on the standardization of data (see Step 4).

    Household survey datasets are complemented by data on population, purchasing power parity (PPP) conversion factors, and average exchange rates obtained from the World Bank's World Development Indicators database.

    Since of the diversity of methods and instruments used by the surveys, comparability across countries is limited. Survey questionnaires are provided below as an important metadata component. Links are also provided to the microdata when available.

    Furthermore, since household surveys differ across countries in design, methodology, and timing, there are limits to the extent to which household data can be standardized after they have been collected. Comparisons of household data across countries and over time must therefore be done with caution.

    The Global Consumption Database uses multiple types of surveys, depending on data availability-including household budget surveys, living standards measurement surveys, and various kinds of country-specific socioeconomic surveys. All these surveys measure consumption or expenditure at the household (not individual) level. But because the surveys are designed for different purposes (such as to measure poverty or to update the consumption basket used to compile consumption price indices), they may differ substantially in design and methodology.

    Key differences between surveys include these:

    • Duration of data collection. Some surveys collect data over a period of 12 months to account for seasonality and some over a shorter period (a few weeks or a few months).
    • Method for household reporting on consumption. Some surveys collect data on food and some non-food consumption using diaries in which households or individuals report daily on what they spend. However, most studies rely on the recall method, asking households to report what they recall spending over a certain period. The recall period varies across surveys and categories. For example, data might be collected on: spending on food for the past 7 days, the past 2 weeks, or a typical month; on education for the past 12 months or the last academic year; on rent, outpatient health services, clothing, and footwear for the past month or the past 4 weeks; on durable goods and hospitalization for the past 6 or 12 months. The choice of recall period may have a substantial effect on the levels of consumption reported. Longer recall periods for frequently purchased items typically produce lower levels of reported spending than shorter recall periods do.
    • Level of detail. Some survey questionnaires include a long, detailed list of goods and services while others provide a shorter, more aggregate list. Longer lists with a finer breakdown of categories typically generate higher estimates of consumption.
    • Method for estimating rental value of dwellings. In some countries, surveys ask households that own their home or occupy it for free to provide an estimate of the rental value of the dwelling. In others, surveys collect data on the characteristics of dwellings that can be used to impute the rental value of owner-occupied dwellings through hedonic regressions. And for still other countries it is not possible to measure the rental value of owner-occupied dwellings because the rental market is too limited. Because this rental value represents a substantial share of household expenditure, these differences have major implications for the calculation of household consumption aggregates and for the comparability of data across countries.
    • Method for estimating value of durable goods. Some surveys collect data on household expenditures on durable goods such as musical instruments. Others attempt to estimate the annual use value of these goods. Estimating the use value of a good requires data on its price and date of purchase or on its resale value, data that is not available in all surveys. This too affects the calculation of household consumption aggregates and the cross-country comparability of data.

    Data processing

    Data Editing

    See the technical note on the standardization of survey data files for information on the standardization process employed to produce internationally comparable price levels, expenditure values, and Purchasing Power Parity (PPP) estimates.

    Contacts

    Contacts
    Name Affiliation Email URL
    Data helpdesk World Bank [email protected] https://data.worldbank.org/about/contact

    Metadata production

    DDI Document ID

    DDI_WLD_2010_GCD_v01_M_v01_A_ESS_FAO

    Producers
    Name Abbreviation Affiliation Role
    Development Data Group DECDG World Bank Metadata producer
    Statistics Division ESS Food and Agriculture Organization of the United Nations Metadata adapted for FAM
    Back to Catalog
    Food and Agriculture Organization of the United Nations

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