DDI_WB_BGD_1975_WFS_v01_M World Bank, Development Economics Data Group <_value> NADA Version 01: (July 2011) Fertility Survey 1975-1976 WFS 1975-76 BGD_1975_WFS_v01_M National Institute of Population Research and Training International Statistical Institute NADA United Nations Population Fund United States Agency for International Development UK Overseas Development Administration Office of Population Research, Princeton University World Fertility Survey [hh/wfs] Part of a fertility survey series, conducted in the 1970s and 1980s, covering contraceptives, reproductive health, breastfeeding, and complete birth histories. A considerable range of economic data was collected in this survey. The number of children (aged 5-12) at school and working, together with aspirations for education of sons and daughters were ascertained. Household survey data have been transferred to the SR file. These include ownership of dwelling, land, cattle and specified household utilities. Limited information on non-contraceptive proximate fertility determinants was collected: the lengths of post-partum abstinence and amenorrhoea following the last live birth; and the number of temporary spousal separations during the last year. A large number of interviews were tape recorded and 220 of these have been analyzed to provide an unusual insight into the dynamics of the interview. A small reinterview survey was also conducted but this has not been analyzed because of problems in the coding of the data. Community data were collected successfully for 155 of the 160 rural clusters, but three of these cannot be matched to the individual files. Data include: access to family planning, health, educational and other facilities; economic and agricultural characteristics; details of natural disasters since 1970. Bangladesh National - Households - Women Ever-married women, 15-49 Sample survey data [ssd] The surveys covered reproductive health, household characteristics such as family composition, marital status. Often surveys included additional topics such as water and sanitation, mortality, economic status, assets, religion and race. Face-to-face [f2f] Self-weighting within rural-urban domains. Office of Population Research, Princeton University