Estimates of indices of Fertility from registration data.
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Estimates of indices of Fertility from registration data.

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Published by University of Ghana, Medical School in Accra .
Written in English

Book details:

Edition Notes

SeriesMonograph series -- no. 3.
ID Numbers
Open LibraryOL20282180M

Download Estimates of indices of Fertility from registration data.


  High level of detail in data and documentation, uniformity of methods and data design, availability of birth order-specific fertility indicators and free access to all data upon registration are the features that make the HFD particularly attractive to by: 8. The data vary a lot between calendar years, with estimates of total fertility differing by more than a child per woman between and The estimate of total fertility in , despite being derived from only partial exposure in that year for most women is highly consistent with the estimate for Fertility Data Data are facts on people, places and business collected in censuses and surveys and through administrative records (e.g., birth certificates). The results released based on these data collections are often called statistics.   The graph is based on TFR data from the Sample Registration System (SRS) undertaken by the Office of the Registrar General of India. The SRS also looks at other indicators such as crude birth rate, general fertility rate, age specific/marital fertility rate, gross reproduction rate along with sex ratio at birth.

Primary data source: Civil registration and vital statistics. Potential lead agency or agencies: Total fertility estimates are calculated for all countries by the Population Division of the Department of Economic and Social Affairs and appear in the biennial United . fertility preferences, the ideal and actual number of children, and preference for sons or daughters. Also, data from the three rounds of NFHS surveys allow estimation of fertility trends. Most of the fertility measures presented in this chapter are based on the complete . Only data on lifetime fertility are available – from two censuses or surveys conducted either five or 10 years apart – making it necessary to estimate fertility from the increments in parities. This is the parity increment method discussed in the section on fertility estimates derived from cohort parity increments.   A United Nations (, p. ) estimate put the mortality rate for the period at 22, approximately the same as that estimated for the preceding five years. Three indexes of mortality will be examined here: unadjusted death rate, infant mortality, and life expectancy at birth.

  country-years of vital registration and sample registration data, surveys, censuses, and other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years.   Levels of fertility, as indicated by various fertility indices such as the total fertility rate and the mean number of children ever born, have barely fallen since the national census of This would seem to suggest that the social, cultural and economic supports of high fertility still exist and there is low contraceptive use. description of fertility patterns, and is followed by a presentation of information regarding age of women at first birth and patterns of adolescent childbearing. The fertility indices presented in this chapter are based on reports provided by women age years regarding their reproductive histories. (1) United Nations Population Division. World Population Prospects: Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division.