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Finding Data: Data on Health - Latin America & the Carribean

ACCESS TO THESE DATA FILES ARE RESTRICTED TO CURRENTLY ENROLLED/EMPLOYED MEMBERS OF PRINCETON UNIVERSITY.

  • Selected Resources for:

    Health - Argentina :: Health - Belize :: Health - Bolivia :: Health - Brazil ::

  • Selected Resources for:

    Health - Colombia :: Health - Costa Rica :: Health - Cuba :: Health - Dominican Republic ::

  • Selected Resources for:

    Health - El Salvador :: Health - Guatemala :: Health - Haiti :: Health - Honduras ::

  • Selected Resources for:

    Health - Jamaica :: Health - Mexico :: Health - Nicaragua :: Health - Panama ::

  • Selected Resources for:

    Health - Paraguay ::

  • AIDS Indicator Survey (AIS)
    developed to provide countries with a standardized tool to obtain indicators for effective monitoring of national HIV/AIDS programs. Data is available on the following: overview of DHS research on HIV prevalence, indicators, and services; knowledge of HIV prevention, misconceptions, stigma, higher-risk sexual behavior; prevalence of HIV by demographic and behavioral characteristics. Microdata is available free of charge by request. First check characteristics and sample sizes. See the questionnaires and the manuals. Data is available for:
    • Congo (Brazzaville) (2009)
    • Cote d'Ivoire (2005)
    • Guyana (2005)
    • Mozambique (2009)
    • Tanzania (2003-2004, 2007/08, 2011-2012)
    • Uganda (2004/05 (restricted), 2011)
    • Vietnam (2005)

  • Complex Emergency Database (CE-DAT)
    Database of mortality and malnutrition rates - the most commonly used public health indicators of the severity of a humanitarian crisis. Subnational data is included for some countries.

  • Country trends in metabolic risk factors
    Statistics by country for blood pressure, body mass index, cholesterol, diabetes, and glucose.

  • Demographic and Health Surveys
    Used to evaluate population, health, and nutrition programs. Provides national and sub-national data on family planning, maternal and child health, child survival, HIV/AIDS/sexually transmitted infections (STIs), infectious diseases, reproductive health and nutrition. Microdata is available free of charge by request. First check characteristics and sample sizes. See the model questionnaires and the recode manuals. Data is available for:
    • Afghanistan (2010, 2015)
    • Albania (2008/09)
    • Angola (2006/07, 2011, 2015/16)
    • Armenia (2000, 2005, 2010, 2015/16)
    • Azerbaijan (2006)
    • Bangladesh (1993/94, 1996/97, 1999-2001, 2004, 2007, 2011. 2014)
    • Benin (1996, 2001, 2006, 2011/12)
    • Bolivia (1989, 1994, 1998, 2003, 2008)
    • Botswana (1988) (restricted)
    • Brazil (1986, 1991, 1996)
    • Burkina Faso (1993, 1998/99. 2003, 2010)
    • Burundi (1987, 2010, 2012)
    • Cambodia (1998, 2000, 2005, 2010, 2014)
    • Cameroon (1991, 1998, 2004, 2011)
    • Cape Verde (2005)
    • Central African Republic (1994/95)
    • Chad (1996/97, 2004, 2014/15)
    • Colombia (1986, 1990, 1995, 2000, 2005, 2010, 2015)
    • Comoros (1996, 2012)
    • Congo (Brazzaville) (2005, 2009, 2011/12)
    • Congo Democratic Republic (2007, 2013/14)
    • Cote d'Ivoire (1994, 1998/99, 2005, 2011/12)
    • Dominican Republic (1986, 1991, 1996, 1999, 2002, 2007, 2013)
    • Ecuador (1987)
    • Egypt (1988, 1992, 1995-1997, 2000, 2003, 2005, 2008, 2014, 2015)
    • El Salvador (1985)
    • Eritrea (1995, 2002) (restricted)
    • Ethiopia (2000, 2005, 2011, 2016)
    • Gabon (2000, 2012)
    • Gambia (2013]
    • Ghana (1988, 1993, 1998, 2003, 2007-2008, 2014)
    • Guatemala (1987, 1995, 1998/99, 2014/15)
    • Guinea (1999, 2005, 2012)
    • Guyana (2005, 2009)
    • Haiti (1994/95, 2000, 2005/06, 2012, 2013)
    • Honduras (2005/06, 2011/12)
    • India (19992/93, 1998/99, 2005/06)
    • Indonesia (1987, 1991, 1994, 1997, 2002-2003, 2007, 2012)
    • Jordan (1990, 1997, 2002, 2007, 2009, 2012)
    • Kazakhstan (1995, 1999)
    • Kenya (1989, 1993, 1998, 2003, 2008/09, 2014)
    • Kyrgyz Republic (1997, 2012)
    • Lesotho (2004, 2009, 2014)
    • Liberia (1986, 2007, 2009, 2011, 2013)
    • Madagascar (1992, 1997, 2003/04, 2008/09, 2011, 2013)
    • Malawi (1992, 1996, 2000, 2004, 2010, 2012-2016)
    • Maldives (2009)
    • Mali (1987, 1995/96, 2001, 2006, 2010, 2013)
    • Mauritania (2000/01, 2003/04) (restricted)
    • Mexico (1987)
    • Moldova (2005)
    • Morocco (1987, 1992, 1995, 2003/04)
    • Mozambique (1997, 2003, 2009, 2011)
    • Myanmar (2015/2016)
    • Namibia (1992, 2000, 2006/07, 2013)
    • Nepal (1987, 1996, 2001, 2006, 2011, 2016)
    • Nicaragua (1998, 2001)
    • Niger (1992, 1998, 2006)
    • Nigeria (1990, 1999, 2003, 2008, 2010, 2013)
    • Nigeria (Ondo State) (1986)
    • Pakistan (1990/91, 2006/07, 2012/13)
    • Paraguay (1990)
    • Peru (1986, 1991/92, 1996, 2000, 2004-2012)
    • Philippines (1993, 1998, 2003, 2008, 2013)
    • Rwanda (1992, 2000, 2005, 2007/08, 2010, 2011, 2013, 2014/15)
    • Sao Tome and Principe (2008/09)
    • Senegal (1986, 1992/93, 1997, 1999, 2005, 2006, 2008/09, 2010/11, 2012/13, 2014-2016)
    • Sierra Leone (2008, 2013)
    • South Africa (1998)
    • Sri Lanka (1987)
    • Sudan (1989/90)
    • Swaziland (2006/07)
    • Tajikstan (2012)
    • Tanzania (1991/92, 1994, 1996, 1999, 2003-2005, 2007/08, 2010-2012, 2015/16)
    • Thailand (1987)
    • Timor Leste (2009)
    • Togo (1988, 1998, 2013/2014)
    • Trinidad and Tobago (1987)
    • Tunisia (1988)
    • Turkey (1993, 1998, 2003)
    • Turkmenistan (2000)
    • Uganda (1988/89, 1995/96, 2000/01, 2004/05 (restricted), 2006, 2009, 2011)
    • Ukraine (2007)
    • Uzbekistan (1996, 2002)
    • Vietnam (1997, 2002, 2005)
    • Yemen (1991/92, 1997(restricted), 2013)
    • Zambia (1992, 1996, 2001/02, 2007, 2013/14)
    • Zimbabwe (1988, 1994, 1999, 2005/06, 2010/11, 2015)
    DHS data are also available through the Minnesota Population Center's Integrated Demographic and Health Series. Registered DHS dataset users can create customized, pre-merged datasets. The current IDHS database includes a subset of variables related to women of childbearing age and incorporates data from 96 samples from 21 countries: Benin, Burkina Faso, Cameroon, Cote d'Ivorie, Egypt, Ethiopia, Ghana, Guinea, India, Kenya, Madagascar, Malawi, Mali, Mozambique, Niger, Nigeria, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe.

  • Encuesta Nacional de Hogares (1997+)
    The Peru National Household Survey, or Encuesta Nacional de Hogares (ENAHO), was 1st implemented in 1995. From 1997-2002 data was collected on a quarterly basis. The 4th quarter of the survey included detailed employment and household expenditure data gathered to provide information on the living conditions and poverty status of the population. In addition to households, community leaders were also surveyed from 1997-2006. The surveys executed in the first, second, and third quarters of 1997-2002 often focused on specific subjects such as employment or crime and victimization. While the majority of the surveys in this program have been conducted nationally in urban and rural areas, a few of the earlier surveys were done in select provinces or only enumerated the national, urban population. In addition to employment, income, and expenditure data, main topics often covered by the surveys include agricultural activities, health status and health care use, housing, and demographics. In May 2003 data collection for the survey became continuous, and the sample of the fourth quarter of the 2002 survey was divided into 12 subsamples, each for a month of the year. The modules for the continuous survey are similar to those used in the fourth quarter of previous years. The continuous data collection allows for different levels of inference. Monthly data allows for national inference, quarterly data allows for region level inference, and the annual data allows for department level inference. The survey has included a panel component since 1998, and the panel size varies from year to year.

  • Global Burden of Disease Study 2015
    Includes estimates on mortality, causes of death, life expectancy, disability, and various risk factors for a large number of countries.

  • Global Health Observatory (GHO)
    Formerly WHO Statistical Information System (WHOSIS). Some useful datasets available here include:
    • Burden of Disease Project
    • Maternal Mortality
    • Country Estimates of Health Personnel

  • HIV/AIDS Surveillance Data Base
    Compilation of information from widely scattered small-scale surveys on the AIDS pandemic and HIV seroprevalence (infection) in population groups in developing countries.

  • Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Baseline Survey
    In April 2011, the World Food Program (WFP) expanded its assistance to address the food security and nutrition needs of Colombian refugees and to support their integration into Ecuadorian communities. The new program was designed as a prospective randomized control trial and consisted of six monthly transfers of cash, food vouchers, or food to Colombian refugees and poor Ecuadorian households. The objectives of the program were three-fold: 1) to improve food consumption by facilitating access to more nutritious foods, 2) to increase the role of women in household decision-making related to food consumption, and 3) to reduce tensions between Colombian refugees and host Ecuadorian populations. The program was implemented in seven urban centers in the provinces of Carchi and Sucumbíos.

  • Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Endline Survey

  • Indigenous Peoples and Afro-descendants in Latin America and the Caribbean Data bank - PIAALC
    Contains different subsystems of information that were created on the basis of several projects developed by the Division in recent years. Includes statistics on population, education, health, labor, and migration.

  • Nutritional improvement for children in urban Chile and Kenya (2011-2013)
    The social determinants of child malnutrition in the study sites were identified through literature reviews, semi-structured interviews (SSIs) and focus group discussions (FGDs) wth local stakeholders. Anthropometric survey and household survey conducted at baseline and post-intervention follow-up in the Kenya study and comparator sites of Mombasa. Anthropometric survey and household survey conducted at baseline in the Chile study and comparator sites of Valparaiso. Baseline household and anthropometric surveys were then conducted in intervention and control areas of each study site to determine the nutritional status of 2-5 year old children and to understand better the determinants of their nutritional status. The researchers then established an intersectoral urban nutrition working group in the study area and facilitated the group through 6-monthly cycles of action and reflection to plan, implement and evaluate small-scale actions to improve child nutrition in the intervention areas. Follow up anthropometric and HH surveys were then conducted in Mombasa to evaluate the impact of the intervention. (It was not possible to collect these data in the Valparaiso study site.) Baseline household survey Mombasa: 742 households Baseline child anthropometric survey Mombasa: 810 children aged between 24 and 60 months (776 children between 24 and 47 months) Follow up household survey Mombasa: 797 households Follow up child anthropometric survey Mombasa: 1028 children aged between 24 and 60 months (956 children between 24 and 47 months) Baseline household survey containing Valparaiso: 499 households Baseline child anthropometric survey Valparaiso: 660 children aged between 24 and 48 months. To obtain a free account please register

  • OECD Health Data
    Examines national health systems from 1960 forward for OECD member countries and select non-OECD countries in a general, demographic, economic, and social context.

  • Puerto Rican Elderly: Health Conditions (PREHCO) Project, 2002-2003, 2006-2007
    Investigates the mental and physical health status among the elderly (individuals over 60 years of age) in Puerto Rico. Through a cross-sectional sample survey of target individuals and their spouses, PREHCO identifies the varying demographic and health variables affecting the elderly such as income, housing arrangements, health insurance, migration, and childhood characteristics. Based on the patterns of access and utilization of health services, the data can be used to project the health profiles and risks of mortality among the elderly in Puerto Rico.

  • Regional Core Health Data Initiative (Pan American Health Organization)
    Multidimensional query tool that offers a collection of 108 indicators for 48 states and territories of the Americas from 1995 to 2007 as well as Canada and the United States. The system presents data and indicators on: demography; socioeconomics; mortality by cause indicators; morbidity and risk factors; and access, resources and health services coverage. Selected indicators are disaggregated into age groups, sex and/or urban/rural region.

  • Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (1996--2008)
    Compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

  • SABE - Survey on Health, Well-Being, and Aging in Latin America and the Caribbean (2000)
    Examined health conditions and functional limitations of persons aged 60 and older in the countries of Argentina, Barbados, Brazil, Chile, Cuba, Mexico, and Uruguay, with special focus on persons over 80 years of age.

  • Saint Lucia Core Welfare Indicators Questionnaire Survey 2004
    Tabulations only. Includes data on household living standards and access, utilization, and opinion of services and facilities.

  • Service Provision Assessment (SPA) survey
    Health facility assessment that provides a comprehensive overview of a country's health service delivery. Fills an urgent need for monitoring health system strengthening in developing countries. Collects information on the overall availability of different facility-based health services in a country and their readiness to provide those services. Answers 4 broad groups of questions: (1) What is the availability of different health services in a country? Specifically, what proportions of the different facility types offer specific health services? (2) To what extent are facilities prepared to provide health services? Do facilities have the necessary infrastructure, resources and support systems available? For example, what proportions of facilities have regular electricity? What proportions have regular water supply? (3) To what extent does the service delivery process follow generally accepted standards of care? Does the process followed in service delivery meet standards of acceptable quality and content? (4) Are clients and service providers satisfied with the service delivery environment? First check characteristics and sample sizes. See the questionnaires.
    • Bangladesh (1999/2000, 2014)
    • Egypt (2002, 2004)
    • Ghana (2002)
    • Guatemala (1997)
    • Guyana (2004)
    • Haiti (2013)
    • Kenya (1999, 2004, 2010)
    • Malawi (2013/14)
    • Namibia (2009)
    • Nepal (2015)
    • Rwanda (2001, 2007)
    • Senegal (2012-2016)
    • Tanzania (2006, 2014/15)
    • Uganda (2007)
    • Zambia (2005)

  • STEPS Global School-Based Student Health Survey (GSHS)
    Helps countries measure and assess, at a relatively low cost, the behavioral risk factors and protective factors among young people ages 13 to 17 years (originally 13 to 15 years).

  • UNICEF Global Database on Breastfeeding Indicators

  • UNICEF Multiple Indicator Cluster Surveys (MICS)
    Surveys covering many nations. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes household listing form, education, water and sanitation, household characteristics, child labour, child discipline, hand washing and salt iodization. In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age 5. For children, the questionnaire was administered to the mother or primary caretaker of the child. The women's questionnaire includes woman's background, child mortality, desire for last birth, maternal and newborn health, illness symptoms, contraception, attitudes towards domestic violence, marriage, anthropometry, HIV/AIDS, and blood test for anaemia. The children's questionnaire includes child's age, birth registration, early childhood development, breastfeeding, care of illness, immunization, anthropometry and blood test for anaemia.

  • UNICEF: Monitoring the Situation of Children and Women
    Contains the full range of statistical information made available by UNICEF. Includes the official global statistical databases published in The State of the World's Children. Indicators on child survival and health, child nutrition, maternal health, water and sanitation, education, child protection, HIV/AIDS, immunization, and Millennium Development Goals.

  • World Health Survey (WHS) (2002-2004)
    Monitors critical health outcomes and health systems through the fielding of a valid, reliable, and comparable household survey instrument. The WHS was implemented between 2002 and 2004 in countries selected to represent all regions of the world. Study samples were nationally representative and probabilistically selected. Sampling weights were generated and adjusted for the population distribution with final post-stratification corrections for non-response. The total sample size, using nationally representative samples, includes over 300,000 individuals aged 18+ years. For China, Ghana, India, Mexico, Russia and South Africa, WHS also serves as SAGE Wave 0. Household data includes a household roster, health insurance coverage, health expenditures, and indicators of permanent income or wealth. Individual level data include sociodemographic information, health state descriptions, health state valuation, risk factors, chronic conditions, mortality, health care utilization, health systems responsiveness and social capital. Registration is required. Each nation was surveyed once during this period. ICPSR has Waves 0 and 1 only. Countries covered: Argentina, Australia, Austria, Bahrain. Bangladesh, Belgium, Bosnia and Herzegovina, Brazil, Bulgaria, Burkina Faso, Canada, Chad, Chile, China, Colombia, Comoros, Congo Republic, Costa Rica, Cote d'Ivoire, Croatia, Cyprus, Czech Republic, Denmark, Dominican Republic, Ecuador, Egypt, Estonia, Ethiopia, Finland, France, Georgia, Germany, Ghana, Greece, Guatemala, Hungary, Iceland, India, Indonesia, Iran, Ireland, Israel, Italy, Jordan, Kazakhstan, Kenya, Kyrgyz Republic. Lao PDR, Latvia, Lebanon, Lithuania, Luxembourg, Malawi, Malaysia, Mali, Malta, Mauritania, Mauritius, Mexico, Morocco, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nigeria, Norway, Oman, Pakistan, Paraguay, Philippines, Poland, Portugal, Romania, Russian Federation, Senegal, Singapore, Slovak Republic, Slovenia, South Africa, South Korea, Spain, Sri Lanka, Swaziland, Sweden, Switzerland, Syria, Thailand, Trinidad & Tobago, Tunisia, Turkey, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Venezuela, Vietnam, Zambia, and Zimbabwe.

This page last updated: October 21, 2009