Concept Note on Fertility

Charting a roadmap to execution

Overview

Through our report we intend to elucidate the recent trends in fertility and its treatment. Through comprehensive research we will try to decipher the various trends in data in an attempt to answer some of the not so conventional arguments related to fertility.

The various data sources we will refer to are:

Secondary Data

CENSUS: Census 2011 will provide a plethora of information on population total at state level along with Sex ratio, Literacy etc.

SAMPLE REGISTRATION SYSTEM (SRS): SRS will provide information on Crude Birth Rate(CBR), Total Fertility Rate(TFR) and Infant Mortality rate (IMR) at state level. These data will be used to study the various trends.

NATIONAL FAMILY HEALTH SURVEY 4 (NFHS 4): Various National Family Health Survey (NFHS-3 and NFHS-4) will be used to analyze various parameters such as literacy level, and socio-economic groups.

MULTI-INDICATOR SURVEYS: Multi-indicator surveys done by UNICEF. ICMR SURVEYS: Studies done by ICMR also provide information on many population related

issues. Other miscellaneous data resources from the web.

Primary Data

Depending on the consensus between all stake holders we intend to use a representational sample comprising of students from our college and various peer groups. Data gathered will be used in conjunction with the secondary data in an attempt to project key trends. Although, we would like to underscore that the sample is not a professional incentivized panel group and there can be a significant variance and skew in the data collected by this method.

Tools that will be used to make sense of all the clutter

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Excel

Minitab

SPSS

Getting started

Providing Credence to the obvious

We wish to leave nothing to chance and hence will reinforce the intuitive facts using compelling data.

Analyzing fertility rate amongst various states in India. Impact of increasing age of marriage on fertility. Fertility amongst various socio economic sections of society. Power of the media, family planning activities and educational improvements in reduction of

TFR Deciphering the age pattern of fertility. The regional dimensions and demographic dynamics. Relationship between income and fertility.

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Latest trends and projections

Making sense of the decline in fertility rate in IndiaAttributing reasons for the decline

Insights into various unconventional

drivers

Influence of Tabocco and Alcohol on male fertility.Impact of Racial differences and ethinicity on TRF

Treatement Landscape

Reasons for sigficantly low treatment ratesSegments most likely to embrace IVF

Key Imperatives for various stakeholders

Future estimates and roadmap to reduce infertilityConclusions from the study

Digging deeper to discern trends

Once we are done stating the obvious we will scrupulously analyze the copious data to make sense of all the subtle trends that may be a treasure trove for our stake holders.

The main causation for decline in fertility rates during the last decade. Various factors leading to prevalence of infertility. Analyzing the role of racial differences and ethnicity. Influence of Tobacco, Alcohol and obesity on fertility. Factors due to which the Indian fertility market is not well penetrated. Impact of female employment rate on fertility. Effect of cost of housing and education on fertility Effect of various policies on fertility. Effect of work and Family on fertility. Effect of recession on Fertility.

From Strategy to Implementation

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Conformation on the concept note

Collation of secondary data

Collect primary data if required

Analyze the primary data

Finalize report template and

specifics

Analyze primary and secondary data concomitantly

List down key findings and double

checkFinal Report

Why take so much trouble?

The desire of having a progeny is a dream which is shared universally, In the Indian context it is a matter of high sensitivity and inability to bear a child can cause serious psychological, social and emotional distress. Hence the matter of rising infertility is one of great concern. We by this report aim to cover the various causes that can lead to infertility and also aim to dispel some myths by leveraging the power of data. We believe this study will greatly benefit all the stake holders and the society as a whole.

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Compiled by:Mihir Shah9930615334

Point of Contact:Uday Bhaskar Jha+9623781626