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2 edition of Indirect estimates of fertility and mortality at the district level, 1981 found in the catalog.

Indirect estimates of fertility and mortality at the district level, 1981

Vinod K. Mishra

Indirect estimates of fertility and mortality at the district level, 1981

by Vinod K. Mishra

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Published by Office of the Registrar General, India, Ministry of Home Affairs in New Delhi .
Written in English

    Places:
  • India,
  • India.
    • Subjects:
    • Fertility, Human -- India,
    • Mortality -- India.

    • About the Edition

      With special reference to India.

      Edition Notes

      Includes bibliographical references (p. 51-52).

      StatementVinod K. Mishra, James A. Palmore, Sunil K. Sinha.
      SeriesOccasional paper ;, no. 4 of 1994, Occasional paper (India. Office of the Registrar General & Census Commissioner) ;, 1994, no. 4.
      ContributionsPalmore, James A., Sinha, Sunil Kumar., India. Office of the Registrar General.
      Classifications
      LC ClassificationsHB1049 .M57 1994
      The Physical Object
      Paginationviii, 83 p. :
      Number of Pages83
      ID Numbers
      Open LibraryOL953673M
      LC Control Number95911330

        Bhat’s estimates were only used to check the quality of our TFR estimates for and The resulting dataset was converted into surface maps of fertility in India for each census years by kriging. I then applied census boundaries to these maps of fertility to derive fertility estimates from to Author: Christophe Z. Guilmoto. studied the reasons of fertility decline in Western Europe and found that education had the highest predictive power in explaining the fertility differentials. Jolly () conducted a study in Delhi and also demonstrated a significant negative relationship between the level of education and fertility File Size: KB.

      ). However, the sisterhood method can provide consistent estimates only in situations of relatively stationary fertility and mortality levels. Also, it requires the collection of data of a specialised nature (Bhat et al. ). Other indirect techniques that are based on Census data depend significantly on assumptions regarding mortality Cited by: 1. survival method of fertility estimation are, following its presentation introduced in Timæus and Moultrie (). Section 3 details the analytical strategy followed to test the consistency and sensitivity of the reverse survival fertility estimates. Section 4 presents the results of the consistency analysis, while the effect of each selectedCited by:

        Modelling studies have estimated a substantive impact of HIV and AIDS in reducing population-level fertility, around % for each percentage increase in HIV prevalence (Lewis et al., ; Terceira et al., , Zaba & Gregson, ). However, to what extent these estimates of fertility reduction are being realised across the region has not Cited by: For the first time, in the census, district-level estimates of fertility based on indirect techniques were made available by the office of the Registrar General of India. This was continued in census also. Using the provisional figures of census, Guilmoto and Rajan () have derived district-level estimates of fertility In India.


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Indirect estimates of fertility and mortality at the district level, 1981 by Vinod K. Mishra Download PDF EPUB FB2

Author(s): Mishra,V K; Palmore,J A; Sinha,S K Title(s): Indirect estimates of fertility and mortality at the district level, / V.K. Mishra, J.A. Palmore, S.K. fertility and mortality at the district level liom the two Censuscs. Independent researchers also provided further demographic estimates.

Guilmoto and Rajan estimated fertility at the district level using information published on children from agc years in the Census. decentralized planning it has become inevitable to plan at the district level.

Hence, the need of critical indicators like IMR is manifold. There are some indirect estimates of IMR and CMR by registrar government of India for the districts of India for the period and using data of Children Ever Born and Children Size: 79KB.

using the Reverse Survival Method (RSM), provided district level estimates of CBR and TFR based on population aged years from and censuses. So far fertility estimates at regular intervals below the state level are not readily available from any other source.

A few researchers. Description of the method. The indirect methods described in this manual for deriving estimates of child and adult mortality produce series of estimates of child and adult mortality, which – using the time location approach pioneered by Feeney (, ) for children and Brass and Bamgboye () and Brass () for adults – apply to a variety of dates.

to low levels of mortality and fertility) is sometimes thought of as a by-product of economic growth and rising incomes. Certainly a broad inverse association can be observed, at the international level, between per capita gross national product, on the one hand, and mortality and fertility levels, on the other.

CHAPTER VI SUMMARY AND CONCLUSION The census is the main source of information on the growth of population and its various characteristics at district or below district level. The measures of fertility and mortality derived from the census are centered around the mid point of the decade and therefore do not provide any information on annual change.

Indirect estimation of fertility makes use of the direct estimates of fertility derived from the summary information on recent births, but – recognizing that recent births tend to be misreported in censuses – uses information on the lifetime fertility of younger women reported in the same census to adjust the direct estimates.

Average total fertility dropped from in to in (Zanjānī, p. ; Table 5; see FAMILY PLANNING). MORTALITY. Mortality, the number of deaths per 1, population, has declined rapidly in Persia since the early 20th century, a significant factor in overall population growth.

From the analysis in Chapter 4, it is clear that fertility declined substantially between the times of the Kenya Fertility Survey (KFS, –) and Kenya Demographic and Health Survey (KDHS, –).This chapter takes a closer look at the proximate determinants that contributed to this decline by using the Bongaarts framework to quantify the effects on fertility of marriage patterns.

The annual state-level variations in fertility rates are captured by the Sample Registration System in India (SRS). Using data from the census and different surveys, indirect estimates of. Intriguingly, the fertility levels of these countries converged to approximately the replacement level in the mids.

In Azerbaijan, fertility decline was halted temporarily in the mids. Concurrently, levels of fertility rose somewhat in Tajikistan, and to a lesser extent in Turkmenistan and Uzbekistan.

fertility estimates at the district level for the s and s. We have repeated the same exercise using a slightly modified methodology and estimated the birth rates at the end of s at the district level using the just released Census re-sults.

Fertility estimates are mapped to highlight the regional differentials. TheCited by: 2 The methodology has been taken from ‘Indirect Estimates of Fertility and Mortality at the District Level,Occasional Paper No.

4 ofOffice of Registrar General of India. 3 The CSO has issued instructions to States to calculate their District Domestic Products, along with suggested methodology.

estimates of fertility and mortality indicators at State and National level separately for rural and urban areas • The only source for fertility and mortality data since • Largest demographic survey in the country covering about million households and million population in sample units across 35 States/UTsFile Size: KB.

The fertility transition and population stabilization in India is of global significance as it is home to 17% of the world’s population (Planning Com- mission, ) with a low level of human.

2 The methodology has been taken from ‘Indirect Estimates of Fertility and Mortality at the District Level,Occa- sional Paper No. 4 ofOffice of Registrar General of India. Table B gives the indirect estimates of 5q0 from data from the KFS and KDHS on proportions of children dead by age of mothers.

The results are disquieting. The mortality rate in the mids of around deaths per 1, births from the KDHS is only two. source of information on nineteenth-century American mortality and fertility (Gutman ; Vinovskis). Bythe Massachu-setts death registration data were quite good, but evidence for years before that date must be sought from other sources such as genealo-gies, family reconstitutions, and bills of mortality (Vinovskis app.

PLANNING THE COLLECTION OF FERTILITY AND MORTALITY DATA 6 Introduction 6 A. Fertility and mortality data 6 1. Civil registration, census, and survey records 6 2. Counts of births, deaths, and persons 6 3.

Rates and summary measures 7 4. Geographic classifications 7 5. This chapter evaluates inter-district patterns of fertility, child mortality, and gender bias in India using data from the census. The findings highlight the powerful effects of variables relating to women's agency on mortality and fertility.

Further, higher levels of female literacy and female labour-force participation are associated with significantly lower levels of female Author: Mamta Murthi.CHAPTER 4 FERTILITY AND MORTALITY Fertility Contraceptive use in the Mwanza Region has risen from a very low level of 4 percent in t/ to 16 percent in late ) Following increases in the use of modern contraception, levels of fertility are expected to Size: KB.level.

Mortality: District Level Population data, reliable & valid, available within about 2 years. Fertility and indirect mortality estimates: About 8 year time lag. CRS Annual, Since Fertility and Mortality Indicators. District Level and Large Cities with more than population.

Less than 50% of deaths are registered. Wide.