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Finding Data: Data on Health - Europe

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

  • Selected Resources for:

    Health - United Kingdom ::

  • Bundes-Gesundheitssurvey (BGS) 1998
    Germany National Health Interview and Examination Survey 1997-1999. Data must be requested from the agency. examined the health of the adult population in Germany. Information was gathered from 7,124 people, ages 18-79 years, living in private households. Institutionalized populations and individuals whose German language abilities were not strong enough to understand the questionnaires were excluded. In addition to the core survey, there were modules on drug use (prescription and over-the-counter), diet, folic acid intake, mental health, and the environment. Survey instruments included written questionnaires, personal and computerized interviews, a medical examination, and laboratory tests. Willing BGS98 participants were contacted for a follow-up survey from 2008-2011.

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

  • Cross-National Comparison of Interagency Coordination Between Law Enforcement and Public Health
    Examined strategies for interagency coordination in the United States, the United Kingdom, Canada, and Ireland. Primary goal was to produce promising practices that will help law enforcement and public health agencies improve interagency coordination related to terrorist threats, as well as other public health emergencies. Phase I of this study used the Surveillance System Inventory (SSI). The SSI is a database that documents and describes public health and public safety surveillance systems in the United States, the United Kingdom, Canada, and Ireland. The purpose of the SSI was to summarize the status of coordination between law enforcement and public health agencies across these systems, as well as to highlight potentially useful systems for coordination and dual-use integration.

  • 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.

  • Denmark Monitoring Smoking Habits in the Danish Population (2003+)

  • Drug consumption, collected online March 2011 to March 2012, English-speaking countries
    Online survey of respondents aged 18 and over from English-speaking countries concerning their personality attributes, demographic information, and their use of legal and illegal drugs. Twelve personality attributes were measured by questionnaires including the NEO-FFI-R (neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness), BIS-11 (impulsivity), and ImpSS (sensation seeking). Participants were questioned regarding their use of 18 legal and illegal drugs (alcohol, amphetamines, amyl nitrite, benzodiazepine, cannabis, chocolate, cocaine, caffeine, crack, ecstasy, heroin, ketamine, legal highs, LSD, methadone, mushrooms, nicotine, and volatile substance abuse) and one fictitious drug (Semeron) which was used to identify over-claimers. Demographic variables include level of education, age, gender, country of residence, and ethnicity.

  • Finland Adolescent Health and Lifestyle Survey (1977+)

  • Finland Health Behavior and Health Among the Adult Population (1978+)

  • Finland Health Behavior and Health Among the Finnish Elderly Population (1985+)

  • Generations and Gender Surveys
    Longitudinal Survey of 18-79 year olds in 19 countries that aims to improve our understanding of the various factors which affect the relationships between parents and children (generations) and between partners (gender). A broad array of topics including fertility, partnership, the transition to adulthood, economic activity, care duties and attitudes are covered by the survey. Includes a separate contextual database that is organized around central topics closely linked to the program. The variables describe variations of context over time and among regions that are believed to have an impact on the behaviors and relations that constitute the key dependent variables of the survey: fertility, partnership, transition to adulthood, economic activity as well as the intergenerational and gender relations between people expressed e.g. in care relations or the organization of paid and unpaid work. The data include statistical norms, legal norms and regulations, measures of welfare state policies and institutions as well as general economic and cultural indicators. Registration is required.

  • 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

  • Health Behavior in School-aged Children (HBSC) Series (1995-1998, 2001-2002, 2005-2006, 2009-2010)
    Annual survey to solicit public opinion on social and political issues. Every year the survey will be conducted in approximately 50 countries, with a minimal sample size of 500 per country. Wherever possible, within each country a nationally representative sample n=500 adults, male and female, aged 18 and older will be used. In some emergent countries, where such research conditions are not possible, there may be stated variations to this (e.g. urban areas only). Similarly, in the developed world interviews will be conducted by telephone, while in emergent and under-developed countries face to face interviews will be conducted. Demographic variables include sex, age, household income, education level, employment status, and religious preference. ICPSR has data for the USA. Data for other countries are available by request through the Norwegian Social Science Data Archive. The survey involves 43 countries across North America and Europe.

  • Health New Zealand Database on Tobacco Consumption and its determinants in 23 OECD Countries, 1960-2000
    Provides information on consumption and warning labels for cigarettes and tobacco.

  • 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.

  • How Downsizing the Russian Military Affects Officers and Their Wives (1995-1997, Russian Federation)
    Examined the effects of the downsizing of the Russian military. Conducted in 2 waves. The 1st wave queried officers who were scheduled to be released from service within 6 months, officers who were not scheduled to be released, and the wives of the officers. The 2nd wave of interviews followed-up with the initial respondents approximately 18 months later. The groups in the 2nd wave consisted of either current or former servicemen and their wives. A major focus of the study was employment. During the first wave, officers and their wives were queried on their current employment status, whether they were satisfied with their salary, the level of skill required in their work, and their supervisor's management style. Additionally, wives were asked if their job interfered with aspects of their lives, while servicemen were asked about their army careers. Questions included how long they had served in the military, whether they were active participants in war, how loyal they felt toward the army, whether or not they planned on leaving, and what reasons were behind any plans to leave. Servicemen were asked about their level of education, whether they had completed any additional school or training courses, and if they had any civilian job experience. They were also asked what important aspects they desired in a new job, and how confident they were that they would find employment that met those desires. A 2nd major focus was living conditions. Questions included how much food allowance they were provided by the army, how many times they and their family had moved as a requirement of their career, which services and resources they had access in their present location, the effect retirement would have on them personally as well as on their families, and what government assistance would be provided upon retirement. They were further queried about whether they currently had enough money for necessities and if their housing was provided by the army. A 3rd major focus of the study was health. Respondents were questioned about their experience with health concerns (headaches, anxiety, etc.) and the frequency of occurrence. They were asked if they or their families had experienced significant events in the past year such as the death of a child, or the loss of their home due to natural disaster. They were also asked if they drank alcohol, the amount they consumed, and whether they or anyone close to them felt they had a problem with alcohol abuse. They were also asked whether or not they smoked, and if so, how much. A 4th major focus was social relationships and behaviors. Questions included their relationship with their spouse and their family, whether they had a confidante, in whom they confided. They were asked if they got together with neighbors, attended religious services and, if so, how often they participated in these events. A 5th major focus was the respondents' opinions about the downsizing of the military. They were asked if the assistance being offered was sufficient, whether the reimbursement package provided was adequate, and how they felt others were being affected by the downsizing. Respondents were also queried as to whom they felt deserved the blame for the downsizing of the military. During the 2nd wave, respondents were contacted for follow-up interviews. In addition to the questions previously asked during the first wave, respondents were asked if their spouse had changed, whether their family remained the same size, and about their employment status as compared to one year prior. Former servicemen were asked if they had new employment and how they acquired their new job. If unemployed, respondents were asked if they intended to find new work and, if not, what their reasons were for not seeking employment. If seeking employment, they were asked what type of job they would like, and how confident they were that they would be able to find work. Additionally, former servicemen were asked to compare life as a civilian to their life of army service in various areas. They were also asked about life at home, their relationship with their wives, who was responsible for the key decisions in the household, and the percentage of housework they do. They were also queried about whether the work of their wives interfered with family responsibilities. If applicable, wives were asked how they were affected by their husband's discharge from the military. They were further queried whether household disagreements, child care difficulties, and problems with marital relations had arisen due to the workload of their husband at a new place of employment. They were asked about the level of help the families of servicemen needed from the government, as well as their attitude toward their husband's military service career. Demographic questions included marital status, religious beliefs, affiliation with a particular church, ethnicity, and monthly income.

  • Irish Longitudinal Study on Ageing (TILDA)
    Longitudinal, nationally representative survey of more than 8,000 persons 50 years or older and their spouses (regardless of age) in Ireland. The 1st wave was conducted in 2010; participants will have a follow-up interview every 2 years and health assessment every 3 to 4 years for a 10-year period. Survey topics include health status and needs, social and economic status, social and economic participation, and how health, wealth, and happiness interact.

  • Irish Longitudinal Study on Ageing (TILDA), 2009-2011
    Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. Involves interviews on a 2 yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

  • Italy Tobacco Use Survey (2001-2010)

  • Labor Migration and STI/HIV Risks in Armenia
    Assessed the scope, scale and, to a certain extent, the quality of the current interventions aiming at providing HIV prevention among labor migrants, examine the HIV/STI risks in urban and rural Armenia stemming from labor migration, assess the needs for prevention interventions, and produce recommendations for comprehensive, evidence-based, culturally-grounded, and cost-effective interventions to reduce these risks.

  • Longitudinal Study of Aging Danish Twins (LSADT)
    Focus has been on elucidating the causes of variation in survival, health, diseases, loss of abilities, and cognitive functions among the elderly and oldest-old. Was conducted every 2 years between 1995-2005 and consists of 6 waves. Comprises interviews of elderly Danish twins aged 75 years & older (later 70 years & older). At each interview wave, the interview assessment has been based on the interview used in the previous waves, which covers health, physical functioning, cognitive functioning, depression symptomatology, social factors, lifestyle characteristics, and quality of life. The self-report interview assessments have been supplemented with objective indicators of physical strength and agility, behavioral speed, and pulmonary peak-flow. Biological material was also collected from the participants for future DNA analysis.

    Sample Size: All twins aged 75 years & older born in Denmark & still residing in Denmark, not including the Faroe Islands & Greenland.

  • NORDCAN
    Incidence, mortality and prevalence statistics from 41 major cancers in the Nordic countries.

  • 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.

  • Operationen und Prozeduren der vollstationaren Patientinnen und Patienten der Krankenhauser - Altere Ausgaben. (2007+)
    Germany Inpatient Operations and Procedures in Hospitals. Tabulations only.

  • 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.

  • SHARE - Survey of Health, Ageing and Retirement in Europe
    Multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of more than 45,000 individuals aged 50 or over.

  • Study on Global Ageing and Adult Health (SAGE)
    Developed as part of a Longitudinal Survey Programme to compile comprehensive information on the health and well-being of adult populations and the aging process. The core SAGE collects data on respondents 18 or older, with an emphasis on those 50 or older, from nationally representatives in six nations (China, Ghana, India, Mexico, Russia, and South Africa). Data topics include income, work, health care, well-being, and biomarkers.

  • Sweden Living Conditions Survey

  • Turk Toplumunda Tuz Tuketimi ve Kan Basinci Calismasi
    Turkey Salt Consumption and Blood Pressure Study 2007. Tabulations only. Evaluated the daily salt intake and blood pressure of a sample of 1,970 participants over the age of 18. In addition to a questionnaire, participants provided demographic information, a medical history, and were measured for weight, height, blood pressure, urine volume, and body mass index. Participants were excluded based on pregnancy, diuretic usage, fasting for 24-hours prior to eligibility interview, existing hypertension diagnosis, and use of antihypertensive medication; a total of 816 participants were ultimately part of the core study population.

  • Tuz Tuketimi Ve Gida Kaynaklan Calismasi
    Turkey Salt Consumption and Food Resources Study 2012. Tabulations only. Examined participants' daily salt intake and identified sources of dietary salt. The sample included 925 volunteers selected from PatenT2 participants from Ankara, Istanbul, Izmir, and Konya; 657 participants were ultimately included in the study population. Collected a medical history, detailed history of salt intake, dietary history, blood pressure measurement, and urine collection from each participant.

  • Ukraine Longitudinal Monitoring Survey (2003-2007)
    Statistically representative sample of the Ukrainian population of about 4,000 households and 8,500 individuals ages 15 to 72. Included an individual questionnaire covering information on sociodemographic characteristics such as employment and health status and a household questionnaire that focused on income and expenditures.

  • 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 Organization. Regional Office for Europe. Data.
    Collection of databases for Europe and Israel containing indicators on health, mortality, hospital morbidity, infectious diseases, alcohol control, nutrition policy, prison health, and tobacco control.

  • World Health Organization. Europe. Interactive Atlases
    Publicly available socioeconomic and health-related indicators from EUROSTAT databases have been used to produce the atlases. The NUTS 2 regions are the main geographical units of analysis. Variables displayed in maps, graphs and tables represent more than 600 individual indicators.

  • 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