WLD_GCD_2010_v2014-03_M Development Data Group 2022-02-20 NADA Global Consumption Database 2010 (version 2014-03) WLD_GCD_2010_v2014-03_M Development Data Group (DECDG) Olivier Dupriez Tefera Bekele Yuri Dikhanov NADA World Bank Microdata Library Data helpdesk GCD v2014-03 coicop consumption expenditure consumption pattern consumption profile consumption share icp basic heading Afghanistan Albania Armenia Azerbaijan Bangladesh Belarus Benin Bhutan Bolivia Bosnia and Herzegovina Brazil Bulgaria Burkina Faso Burundi Cambodia Cameroon Cape Verde Chad China Colombia Congo, Democratic Republic Congo, Rep. Côte d'Ivoire Djibouti Egypt El Salvador Ethiopia Fiji Gabon Gambia (The) Ghana Guatemala Guinea Honduras India Indonesia Iraq Jamaica Jordan Kazakhstan Kenya Kyrgyz Republic Lao PDR Latvia Lesotho Liberia Lithuania Macedonia (FYROM) Madagascar Malawi Malaysia Maldives Mali Mauritania Mauritius Mexico Moldova Mongolia Montenegro Morocco Mozambique Namibia Nepal Nicaragua Niger Nigeria Pakistan Papua New Guinea Paraguay Peru Philippines Romania Russia Rwanda Sao Tome and Principe Senegal Serbia Sierra Leone South Africa Sri Lanka Swaziland Tajikistan Tanzania Thailand Timor Leste Togo Turkiye Uganda Ukraine Vietnam Yemen Zambia Data derived from survey microdata All surveys used have a nationwide coverage. Their sample size ranges from less than 2,000 households to more than 100,000. 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. 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. Because 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. Because 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. Data may be collected over a period of 12 months to account for seasonality or 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 nonfood consumption using diaries in which households or individuals report daily on what they spend. But most 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, and clothing and footwear for the past month or the past 4 weeks; and 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 do shorter recall periods. - Level of detail. Some survey questionnaires include a long, detailed list of goods and services; 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 in 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 are not available in all surveys. This too affects the calculation of household consumption aggregates and the cross-country comparability of data. See file Draft_Technical note on standardization process.pdf and questionnaire coverage by country.xlsx WB_GCD_2010_v2014-03_survey_data.xlsx Data file in MS-Excel, with all indicators (long format) 946215 17 Country code Codes from World Bank World Development Indicators database. Country name World Bank administrative region 1 2 3 4 5 6 See World Bank list of countries by region: https://data.worldbank.org/country Exchange rate (average for 2010; LCU/USD) Source: World Development Indicators (2014) PPP 2005 conversion factor Source: International Comparison Program (ICP) report Survey identifier From the WB Microdata Library/IHSN catalog Survey year Year 2010 for all observations Indicator name 1 2 3 4 5 6 7 8 9 10 Product or service (label) 1101111 1101112 1101113 1101114 1101115 1101117 1101118 1101119 1101120 1101121 1101123 1101124 1101126 1101127 1101128 1101129 1101131 1101132 1101134 1101135 1101137 1101138 1101139 1101181 1101182 1101183 1101191 1101211 1101221 1102111 1102121 1102131 1102211 1102311 1103111 1103121 1103141 1103211 1103221 1104111 1104311 1104411 1104421 1104511 1104521 1104531 1105111 1105121 1105131 1105211 1105311 1105321 1105331 1105411 1105511 1105521 1105611 1105621 1105622 1106111 1106121 1106131 1106211 1106221 1106231 1106311 1107111 1107121 1107131 1107141 1107221 1107231 1107241 1107311 1107321 1107331 1107341 1107351 1107361 1108111 1108211 1108311 1109111 1109141 1109151 1109211 1109231 1109311 1109331 1109341 1109411 1109421 1109431 1109511 1109611 1110111 1111111 1111211 1112111 1112121 1112211 1112311 1112321 1112411 1112511 1112621 1112711 11 1106 1108 1199 110199 110399 110450 110499 110799 111269 1104419 See Excel file ICP_basic_headings.xls Product or service (code) The code corresponds to the basic headings of the International Comparison Program (close to COICOP). See Excel file ICP_basic_headings.xls Sex 1 2 9 Age group 99 10 20 30 40 50 60 70 80 90 Measurement unit for the selected indicator 1 2 3 4 5 6 7 Area of residence (urban/rural) 1 2 Definition of urban/rural specific to each country (variable extracted from source datasets) Income group 1 2 3 4 Households in developing countries were categorized in four consumption segments for the Global Consumption Database: lowest, low, middle, and higher. Four levels of consumption are used to segment the market in each country: lowest, low, middle, and higher. They are based on global income distribution data, which rank the global population by income per capita. The lowest consumption segment corresponds to the bottom half of the global distribution, or the 50th percentile and below; the low consumption segment to the 51th-75th percentiles; the middle consumption segment to the 76th-90th percentiles; and the higher consumption segment to the 91st percentile and above. These thresholds were used to establish the four consumption segments: - Lowest-below $2.97 per capita a day - Low-between $2.97 and $8.44 per capita a day - Middle-between $8.44 and $23.03 per capita a day - Higher-above $23.03 per capita a day To convert a PPP$ threshold into annual expenditure in local currency (as of 2010), the following formula was applied: threshold * U.S. inflation rate for the period 2005-10 (1.117) * PPP conversion factor for 2010 * 365 For example, the PPP$2.97 threshold is equivalent to 25,702.22 Indian rupees (2.97 * 1.117 * 21.226 * 365). The U.S. inflation rate and PPP conversion factors are available in the World Bank World Development Indicators database. See Excel file WB_GCD_2010_v2014-03_thresholds.xlsx Value for the corresponding indicator