The National Statistical Office of Bolivia provides [color=rgb(0, 137, 201) !important]access to a number of demographic and health surveys, as well as income expenditure surveys for the 1989-2009 period. The website is in Spanish and registration (free) is required. [Thanks to [color=rgb(0, 137, 201) !important]Gustavo Canavire-Bacarreza, graduate student at Georgia State in Atlanta, for the link]
UNICEF assists countries in collecting and analyzing data in order to fill data gaps for monitoring the situation of children and women through its international household survey initiative the [color=rgb(0, 137, 201) !important]Multiple Indicator Cluster Surveys (MICS). The first round of MICS was conducted around 1995 in more than 60 countries; second round of surveys was conducted in 2000 (around 65 surveys); the third round (50 countries) in 2005-06; the fourth round of Multiple Indicator Cluster Surveys (MICS) is scheduled for 2009-2011 and survey results are expected to be available from 2010 on. Data coverage: in MICS3, as in the previous rounds, three model questionnaires were developed: a household questionnaire, a questionnaire for women aged 15-49, and a questionnaire for children under the age of 5 (addressed to the mother or primary caretaker of the child). [via Sebastian Bauhoff @Harvard]
Conducted by the
World Bank in January/February 2006 (covering 2005 but with some recall data for 2002) the [color=rgb(0, 137, 201) !important]
Indonesian Rural Investment Climate Survey (RICS) is an in-depth, quantitative survey of 2549 non-farm enterprises, 2782 households and 149 communities in 6 rural Kabupaten. The RIC Survey data provides the first representative snapshot of the investment climate in six different types of rural Kabupaten, allowing policymakers to identify and address the key constraints to investment and growth. Data is provided in SPSS and Stata format, together with full documentation. [Via Masa Kudamatsu at [color=rgb(0, 137, 201) !important]
DEVECONDATA]
The
International Food Policy Research Institute (IFRPI) offers a wide range of household and community-level surveys on its [color=rgb(0, 137, 201) !important]
data website. Chief among these is the set of Ethiopian Rural Household Surveys (ERHS), collected in 6 waves between 1989 and 2004, which is provided with all additional information, questionnaires etc. Note that despite the Amazon-style lingo ('Basket', 'Proceed to checkout') all you need to do is register on the site: then you can access/download all of the datasets featured. The datasets can also be accessed from the [color=rgb(0, 137, 201) !important]
IFPRI Dataverse entry.
Chris Udry at Yale's Economic Growth Center (EGC) provides access to [color=rgb(0, 137, 201) !important]
household survey data. The [color=rgb(0, 137, 201) !important]
introduction to the surveys states that "The surveys would begin with a (clustered) random sample of approximately 5,000 households in 200 communities in rural and urban areas of each country. Every three years following the initial survey, a (stratified) random sample of each individual in the original 5,000 households would be followed for re-interviews." Other than the above document there is not much obvious documentation, but there is data for Ghana and Nigeria, some of it in Stata format (with do-files).The Russia Longitudinal Monitoring Survey ([color=rgb(0, 137, 201) !important]
RLMS) is a series of nationally representative surveys designed to monitor the effects of Russian reforms on the health and economic welfare of households and individuals in the Russian Federation. These effects are measured by a variety of means: detailed monitoring of individuals' health status and dietary intake, precise measurement of household-level expenditures and service utilization, and collection of relevant community-level data, including region-specific prices and community infrastructure data. Data have been collected 19 times since 1992. Of these, 15 represent the RLMS Phase II, which has been run jointly by the
Carolina Population Center at the University of North Carolina at Chapel Hill, headed by Barry M. Popkin, and the
Demoscope team in Russia, headed by Polina Kozyreva and Mikhail Kosolapov. You need to register to get access to the data and describe your research project. In return the website is probably one of the best I've come across to give information about the data and what has been done with it [This link features on Stefania Lovo's [color=rgb(0, 137, 201) !important]
website].
The [color=rgb(0, 137, 201) !important]Townsend Thai Project (initiated and headed by Robert Townsend at MIT) data include both annual and monthly panels, in addition to the collection of environmental data. Originally the Townsend Thai survey focused on villages in four provinces, two in the Northeast and two in the Central region. The baseline survey was conducted in 1997. To date, the Townsend Thai project continues to resurvey the annual and monthly panels. In 2006, the annual surveys extended to include urban areas in the same four provinces. In 2003, an annual survey of villages in the South was added and in 2004, two provinces in the north were included in the annual survey. The project emerged as a means to understand the broader economic and social context in which policies are enacted and research is conducted. Its goal is to build a bridge between policy and research by providing rich data from which academics and policy-makers alike can better understand household activities and behavior, as well as their relationship to the broader regional and national economy.
Sebastian Bauhoff at Harvard offers some [color=rgb(0, 137, 201) !important]links to household-level datasets for China at various US universities, including primarily data on health and population.
If you are interested in calorie consumption, you need to convert the amounts of food consumption (collected from household surveys) to obtain the data. Annex 1 of the FAO (2001)'s [color=rgb(0, 137, 201) !important]Food Balance Sheets: A Handbook provides the conversion factors (how many kilo calories 100 grams of food contain) for a wide variety of foods for international use - note that this data is contained in a pdf, not in excel or STATA. For India consult Gopalan, Sastri, and Balasubramanian's book entitled
Nutritive Value of Indian Foods (Hyderabad: National Institute of Nutrition, 1971) [thanks to Masa at [color=rgb(0, 137, 201) !important]
DEVECONDATAfrom which both of these links are lifted].
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