Skip to main content

Part of the book series: Demographic Transformation and Socio-Economic Development ((DTSD,volume 5))

  • 1439 Accesses

Abstract

The depiction of the current mortality decline in Indonesia and its exact magnitude requires measures like the neonatal mortality rates, infant mortality rate, under-five mortality rate, or life expectancy that are ideally provided by the national civil registration system. However, civil registration remains inadequate in Indonesia and we have to rely on survey and census data to obtain reliable measures of mortality. Yet, these sources of data yield a wide range of estimates. In this paper, different approaches to measuring mortality rates are used leading to variations in the assessment of the progress made.

DHS data for Indonesia, which provides direct estimates of the NMR, IMR, and U5MR, should be interpreted with caution. Trends in childhood mortality rates over time indicate that it is becoming difficult to further reduce these measures, and lowering the NMR is more difficult than lowering the IMR and U5MR.

Indonesia is still facing high childhood mortality rates with wide disparities among regions. Regional inequality in mortality rates should be taken into consideration in developing policies for reducing mortality. Evidence-based planning, however, requires reliable and timely information. A better registration and health information system is urgently needed in Indonesia.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Manual X of United Nations provides guidance in applying indirect method of childhood mortality estimation (Department of International Economic and Social Affairs 1983). Model life tables developed by Coale and Demeny (1983) have been widely used to establish indirect techniques.Indonesia in applying indirect techniques to estimate childhood mortality always adopt the use of West Model of Coale and Demeny Life Tables.

  2. 2.

    The modern Population Census (PC) after Independence in Indonesia were conducted for the years 1961, 1971, 1980, 1990, 2000 and 2010.

  3. 3.

    Birth histories, with a mother being asked for information on the date of birth and, if relevant, the age at death of every live-born child she has had, were collected by IDHSs. Information derived from birth histories, were used to calculate directly measures of childhood mortality (including NMR, IMR and U5MR), dividing deaths for given ages and time periods by exposure to risk in terms of person-years of life lived by the reported children.

  4. 4.

    2010 PC included questions on recent births and deaths since 1 January 2009. Information on deaths and census count of household members by age group can be used to construct a life table and life table-based estimates of IMR, U5MR and E0 can then be calculated. Although PC does not give sampling error, death events reported by PC may be prone to underestimation.

  5. 5.

    Dual systems approach to estimate incompleteness of birth and death events follow the concept developed by Chandrasekaran and Deming as cited in Shryock and Siegel (1982).

  6. 6.

    ARR needed to meet MDG-4 target achievement.

References

  • Badan Pusat Statistik–Statistics Indonesia (BPS), & ORC Macro. (2003). Indonesia demographic and health survey 2002–2003. Calverton: Central Bureau of Statistics and ORC Macro.

    Google Scholar 

  • CDI and MOH (Centre for Data and Information and Ministry of Health. (2007). Indonesia health information system review and assessment. Jakarta: MOH-Health Metrics Network.

    Google Scholar 

  • Central Bureau of Statistics (CBS, Indonesia). (1998). Indonesia demographic and health survey 1997. Jakarta/Calverton: Ministry of Health/Macro International Inc.

    Google Scholar 

  • Central Bureau of Statistics (CBS, Indonesia), & Macro International Inc. (MI). (2008). Indonesia demographic and health survey 2007. Calverton: CBS and MI.

    Google Scholar 

  • Central Bureau of Statistics (CBS, Indonesia), National Family Planning Coordinating Board, Ministry of Health, & Macro International Inc. (MI). (1992). Indonesia demographic and health survey 1991. Columbia: CBS and MI.

    Google Scholar 

  • Central Bureau of Statistics (CBS, Indonesia), State Ministry of Population/National Family Planning Coordinating Board, Ministry of Health, & Macro International Inc. (MI). (1995). Indonesia demographic and health survey 1994. Columbia: CBS and MI.

    Google Scholar 

  • Coale, A. J., & Demeny, P. J. (1983). Regional model life tables and stable populations (2nd ed.). New York: Academic.

    Google Scholar 

  • Department of International Economic and Social Affairs. (1983). Manual X. Indirect techniques for demographic estimation (Population studies No. 81). New York: United Nations.

    Google Scholar 

  • NIHRD (National Institute of Health Research and Development). (2012, August 30). Assessment of Indonesia’s civil registration and vital statistics system. Draft final report of CRVS Review Committee, Jakarta.

    Google Scholar 

  • Shryock, H. S., & Siegel, J. S. (1982). The methods and materials of demography (condensed edition). New York: Academic.

    Google Scholar 

  • Soemantri, S. (2012, November 12–14). PC 2010: Mortality data quality. Paper presented at workshop and training on SP 2010: Estimation of MMR. Aston Hotel, Bogor.

    Google Scholar 

  • Statistics Indonesia, National Population and Family Planning Board, Ministry of Health, Measures DHS ICF International. (2012). Indonesia demographic and health survey 2012. (Preliminary report). Jakarta: Badan Pusat Statistik

    Google Scholar 

  • World Health Organization. (2010). Improving the quality and use of birth, death and cause-of-death information; guidance for a standards-based review of country practices. Geneva: WHO.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Soeharsono Soemantri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Soemantri, S., Afifa, T. (2016). Mortality Trends in Indonesia. In: Guilmoto, C., Jones, G. (eds) Contemporary Demographic Transformations in China, India and Indonesia. Demographic Transformation and Socio-Economic Development, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-24783-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24783-0_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24781-6

  • Online ISBN: 978-3-319-24783-0

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics