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Curated

Cross-National Statistics on the Causes of Death, 1966-1974 (ICPSR 7624)

Released/updated on: 2005-11-04

Geographic coverage: Angola, Wales, East Timor, England, Paraguay, Portugal, Syria, Bahamas, Grenada, Gibralter, Greece, Cayman Islands, Iran, Montserrat, Panama, Guadeloupe, Guatemala, Guyana, Virgin Islands of the United States, Iraq, Chile, Argentina, Falkland Islands, Africa, Seychelles, Belize, Northern Ireland, Anguilla, Canada, Guinea-Bissau, Belgium, Finland, Faroe Islands, Trinidad and Tobago, Jamaica, Peru, Germany, Yemen, Puerto Rico, Fiji, Hong Kong, United States, Sao Tome and Principe, Thailand, Equatorial Guinea, Western Samoa, Costa Rica, Sweden, Liechtenstein, Poland, Kuwait, Jordan, Bulgaria, Uruguay, Sri Lanka, Cook Islands, Kenya, Switzerland, Spain, French Polynesia, Brunei, Cuba, Venezuela, Czech Republic, Saint Lucia, Israel, San Marino, Australia, Myanmar, Bermuda Islands, Malaysia, North America, Wallis and Futuna, Iceland, Global, Niue, South Korea, Austria, Yugoslavia, Mozambique, El Salvador, Monaco, Luxembourg, Brazil, Guam, Ecuador, Colombia, Hungary, Japan, Europe, Mauritius, Norfolk Island, New Zealand, Italy, Honduras, Nauru, Singapore, French Guiana, Egypt, Scotland, American Samoa, Christmas Island, Bolivia, Malta, Cape Verde, Netherlands, Ireland, Martinique, France, Saint Pierre and Miquelon, Saint Kitts-Nevis, Reunion, Romania, Philippines, Nicaragua, Barbados, Asia, Norway, Saint Vincent and the Grenadines, Macao, Denmark, Dominican Republic, British Virgin Islands, Mexico, Suriname, Pacific Ocean, Greenland, Dominica

Time period: 1966-01-01--1974-01-01

These data are a collection of demographic statistics for the populations of 125 countries or areas throughout the world, prepared by the Statistical Office of the United Nations. The units of analysis are both country and data year. The primary source of data is a set of questionnaires sent monthly and annually to national statistical services and other appropriate government offices. Data include statistics on approximately 50 types of causes of death for the years 1966 through 1974 for males, females, and total populations.

Curated

Simple Crosstabs

Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI]: Agincourt, South Africa, 2015-2022 (ICPSR 36633)

Released/updated on: 2023-03-13

Geographic coverage: Africa, South Africa, Global

Time period: 2014-01-01--2015-01-01, 2018-01-01--2019-01-01, 2021-01-01--2022-01-01

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies.

The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases. A second wave of the survey was administered in 2018 through 2019, and a third wave of the survey was administered in 2021 through 2022.

Demographic information includes age, sex, income, education, marital status, number of children, and employment.

Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.