Data Analysis and Findings

Research Methods
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Date: 7th January 2019

4.1 Data analysis/ Findings
The survey was conducted in the palghar district of maharashtra
4.1.1 Introduction
In this part of the chapter the researcher will be analyzing the data obtained through online
questionnaire. A set of questionnaire was created according to the objective of the research and
following questions were asked. Below are the responses obtained that will be described by the
researcher, along with their responses.
4.2 Findings and analysis
1. Age
Optio
n
Percentage
(%)
Frequency of
respondents
Total number of
respondents
18-25 71.7 66 92
25-35 18.5 17 92
35-50 8.7 8 92
Above
50
1.1 1 92
Here, the researcher has categorize the age of the participants. The age of the participants was
divided into four categories that are from 18-25, 25-35, 35-50 and above 50. It was found out
that out of 92 respondents 66 respondents belonged to the category of 18-25 that majority of the
participants belonged to the age category of 18-25 while the least number of respondents was
above 50 which was 1. The number of respondents from the category of 25-35 were 17 while
from 35-50 were 8.
As we can see the majority of the people who took interest in the survey belong to the category
of the 18-25 which is the internet savvy youth of today, the percentage of this population is

71.7% while the least was above the age category of 50 which concluded with a minimum of
1.1%. The reason behind such a low count can be language barrier or the lacking knowledge of
technology. The number of respondents from 25-35 age group was 18.5% while the number of
participants from the age was group of 35-50 representing 8.7%, both of these age groups
respondents were quite less.
2. Gender
Option Percentage
(%)
Frequency of
respondents
Total number of
respondents
Male 50 46 92
Female 48.9 45 92
Prefer not to say 1.1 1 92
The second question was regarding the age factor of the participants the male respondents were
50 while the female respondents was 45 and one preferred not to mention the age.
The gender of the respondents gives us an overall view regarding the opinion of the male and
female in the study of the research. It also helps us to find out their perception so the researcher
can plan to fill in the gaps. From the above table we can see the participation of male was higher
but also females were nearby. By making this diversification of male and female the researcher
can determine the level of financial inclusion as well as financial literacy. This can also be
helpful for the policy makers to recognize the target population and make schemes accordingly.

3. What is your working status
Option Percentage
(%)
Frequency Total no of
respondents
Full time 33.7 31 92
Part time 10.9 10 92
Not working 55.4 51 92
Here, the researcher is trying to understand the working status of the respondents. It can be seen
from the table this the number of respondents working out of 92 are 31 while the part time
working respondents are 10out of 92 and those not working are 51 out of 92.
It can be seen that number of working respondents contributes to almost 33.7% which forms
below average of the total. The opinion of the working population is highly valuable as they are
the asset of the economy. Working people are the most active people in the country`s economy
as their patter of expenditure and income helps in shaping the financial system of the economy
largely. The part time working population contributes to 10.9% which is quite less as compared
to others but since they contributes to the economy their opinion will play a huge role. The third
category was the non-working they contributed to 55.4% which is the highest among the three.
This category of population can be almost called as the dependent population. The involvement
of this population in the financial system is for short run but this cannot deny the fact that their
involvement is insignificant, therefore it is very important to find out their level of financial
literacy as it is as important equally for sustainability.