• Abdul Majid Pakistan Bureau of Statistics, Regional Office,
  • Muhammad Aslam Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
  • Muhammad Kashif Lecturer, Govt. College, Civil Lines, Multan, Pakistan
  • Saima Altaf Assistant Professor, Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan


Background: Forecasting of health indicators is of great importance for health policy makers. This study is aimed to forecast some important health indicators like crude death rate (CDR), crude birth rate (CBR), and infant mortality rate (IMR) and total fertility rate (TFR) of Pakistan. Methods: In this retrolective study, annual data of these indicators for years 1984–2010 have been used. The simple linear regression model with time as independent variable has been used to forecast these health indicators. Results: The within-sample forecast results are close enough to the actual values. All the forecast values of the stated indicators tend to decrease with time. The forecast values of CDR, CBR, IMR and TFR for year 2020 are 12.85, 5.61, 43.61 and 0.93, respectively. Conclusion: Although the forecast values show an improvement in health indicators of Pakistan but the IMR is expected to remain high even in 2020, a concern for the health policy makers.Keywords: Crude birth rate; Crude death rate; Health indicator; Infant mortality rate; Time trend model; Total fertility rate


Reidpath DD, Allotey P. Infant mortality rate as an indicator of population health. J Epidemiol Community Health 2003;57(5):344–6.

Alkema L, Raftery AE, Gerland P, Clark SJ, Pelletier F, Buettner T, et al. Probabilistic projections of the total fertility rate for all countries. Demography 2011;48(3):815–39.

Congdon P. A spatio-temporal forecasting approach for health indicators. J Data Sci 2006;4(4):399–412.

Hussein MA. Analysis and forecasting infant mortality rate (IMR) in Egypt until year 2000. Egypt Popul Fam Plann Rev 1991;25(2):32–46.

Hussein MA. Time series analysis for forecasting both fertility and mortality levels in Egypt until year 2010. Egypt Popul Fam Plann Rev 1993;27(2):67–81.

Islam R, Korban A, Islam N, Rahman A. Empirical forecasting of fertility parameters of Bangladesh. Int J Stat Sci 2007;6:331–40.

Khan Z, Khan AW. Estimating and forecasting health indicators in Pakistan. Dialogue 2010;5(1):15–37.

Pollard AH., Yousaf F, Pollard GN. Demographic Techniques. Pergamon Press, Sydney,1990.

Rowland DT. Demographic methods and concepts. OUP Cat 2003.

Andrews KM, Brouillette DB, Brouillette RT. Encyclopedia of infant and early childhood development. Elsevier; Academic Press 2008:343–59.

State Bank of Pakistan. Handbook of statistics on Pakistan economy 2010 [Internet]. [cited 2015 Sep 6]. Available from:

Mohamed Z, Bodger P. Forecasting electricity consumption in New Zealand using economic and demographic variables. Energy 2005;30(10):1833–43.

Makridakis S, Wheelwright SC, Hyndman RJ. Forecasting methods and applications. John Wiley & Sons; 2008.

Afzal U, Yusuf A. The state of health in Pakistan: An Overview. Lahore J Econ 2013;18:233–47.



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