Vital Statistics

Paper Code: 
DSTT 501(A)
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This paper is designed to provide students with the necessary knowledge and skills to understand and analyze population data, including mortality rates, life expectancy, and other demographic indicators, and to use this information for policy development and decision making.

 

Students will be able to:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

DSTT 501(A)

 

Vital Statistics

 

CO 41: Analyze and interpret vital statistics data, identify errors in census and registration data, apply appropriate measures for population measurement, and calculate rates and ratios of vital events

 

CO 42: Develop an understanding of different measurements of mortality and their applications in public health research and policy.

 

CO 43: Apply knowledge of fertility and population growth rate measurements to real-world scenarios and analyze their implications.

 

 

CO 44: Utilize information based on the population, including censuses, vital statistics and surveys, and would be able to access and use such data to create a life table.

 

CO 45: Analyze the basic concepts used in the description and study of a population with particular focus on migration.

Approach in teaching:

 

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

 

Learning activities for the students:

 

Assignments

Seminar

Presentation

Subject based Activities

 

Classroom Quiz

Assignments

Class Test

Individual Presentation

 

 

 

12.00
Unit I: 

Introduction and sources of collecting data on vital statistics, errors in census and registration data. Measurement of population, rate and ratio of vital events.

12.00
Unit II: 

Measurements of Mortality:Crude Death Rate (CDR), Specific Death Rate (SDR), Infant Mortality Rate (IMR) and Standardized Death Rates. Stationary and Stable population.

12.00
Unit III: 

Measurements of Fertility: Crude Birth Rate (CBR), General Fertility Rate (GFR), Specific Fertility Rate (SFR) and Total Fertility Rate (TFR).

Measurement of Population Growth: Crude rates of natural increase, Pearl’s Vital Index, Gross Reproduction Rate (GRR) and Net Reproduction Rate (NRR).

12.00
Unit IV: 

Life (Mortality) Tables: Assumption, description, construction of Life Tables and Uses of Life Tables.Central Mortality Rates and Force of Mortality. Makhemams and Gompertz curves.

12.00
Unit V: 

Internal migration and its measurement, migration models, concept of international migration. Net migration.  International and postcensal estimates. Projection method including logistic curve fitting.

Essential Readings: 
  • Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991): Fundamentals of Statistics, Volume II, The World Press Pvt Ltd, Calcutta
  • Gupta, S.C. and Kapoor, V.K.(2000): Fundamentals of Applied Statistics, S Chand & Company, New Delhi
  • P. Mukhopadhyay (1999): Applied Statistics, Books and Allied (P) Ltd.
References: 

SUGGESTED READINGS:

  • Croxton, F.E. and Cowden, D.J. (1969): Applied General Statistics, Prentice Hall Of India
  • S. Biswas (1988): Stochastic Processes in Demography & Application, Wiley Eastern Ltd.
  • N. Keyfitz and John A. Beckman (1986 ): Demogrphy through Problems S-Verlag New york.
  • Srivastava, O.S.(1998): A Textbook of Demography, Vikas Publishing.
  • Shrinivasan, K. and Srinivasan, K.(1998): Basic Demographic Techniques and Applications.

e-RESOURCES:

JOURNALS:

  • Sankhya The Indian Journal of Statistics, Indian Statistical Institute
  • Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
  • Afrika Statistika, Saint-Louis Senega University
  • International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
  • Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
  • Journal of the Indian Statistical Association, Indian Statistical Association
  • Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
  • Statistics and Applications, Society of Statistics, Computer and Applications
  • Stochastic Modeling and Applications, MUK Publications and Distributions
Academic Year: 
2023-2024
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