Preferences of people towards popular Cities

Title : “Preferences of People Towards Popular Cities.”

Author: Varun Naresh Kairamkonda

Introduction:

People’s preferences towards popular cities are influenced by various social, economic, cultural, and infrastructural factors. In India, metropolitan and historically important cities like Mumbai, Hyderabad, Kolkata, and Lucknow attract people for different reasons such as employment opportunities, education, lifestyle, safety, cost of living, and cultural environment. Each city has its own unique characteristics, which shape the perceptions and preferences of people when choosing a place to live, work, study, or invest.

Objective: To study preference of people towards popular cities.

Literature Review: 

1. Sharma and Verma (2022) examined the factors influencing people’s preferences for major Indian cities, focusing on employment opportunities, cost of living, infrastructure, and quality of life. The study found that Mumbai is highly preferred due to its strong economic base and job availability, particularly in finance and entertainment sectors. Hyderabad was identified as an emerging preference among young professionals due to its expanding IT industry and relatively affordable living conditions. Kolkata attracted individuals seeking cultural richness and lower expenses, while Lucknow was preferred for its peaceful environment and growing urban infrastructure. The study concluded that career opportunities and affordability are the most significant determinants of city preference.

 

2. Kumar and Singh (2021) analysed how demographic, economic, and social factors affect residential choices in Indian cities. Their research highlighted that metropolitan cities like Mumbai and Hyderabad are primarily chosen for higher income potential and better career growth. However, the study also noted that increasing living costs and congestion in Mumbai reduce its attractiveness over time. In contrast, cities like Kolkata and Lucknow were preferred for their affordability, cultural stability, and improved quality of life. The authors emphasized that personal priorities such as family needs, safety, and lifestyle significantly influence the final decision of city selection.

Data Collection:

The data for Mumbai, Hyderabad, Kolkata and Lucknow was collected through a structured questionnaire from 25 respondents. The respondents were asked to rate the Cities on a scale of 0–10 based on their preference. The ratings given by respondents were compiled in Microsoft Excel. The ratings of Mumbai, Hyderabad, Kolkata and Lucknow were taken as four different groups and ANOVA: Single Factor method was applied to analyse the differences among the cities ratings.

Data Analysis:

Anova: Single Factor

 

 

 

 

 

 

 

 

 

 

 

 

 

SUMMARY

 

 

 

 

 

 

Groups

Count

Sum

Average

Variance

 

 

mumbai

25

221

8.84

2.39

 

 

hyderabad

25

198

7.92

3.49333

 

 

kolkata

25

122

4.88

14.1933

 

 

lucknow

25

157

6.28

9.46

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

 

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

231.08

3

77.0267

10.4313

5.28E-06

2.69939

Within Groups

708.88

96

7.38417

 

 

 

 

 

 

 

 

 

 

Total

939.96

99

 

 

 

 

 

The one-way ANOVA results indicate that there are statistically significant differences among the mean values of the four groups—Mumbai, Hyderabad, Kolkata, and Lucknow. Specifically, Mumbai has the highest mean (8.84) with relatively low variance (2.39), followed by Hyderabad (mean = 7.92, variance = 3.49), Lucknow (mean = 6.28, variance = 9.46), and Kolkata, which has the lowest mean (4.88) and the highest variability (variance = 14.19). The between-group variability (SS = 231.08, df = 3, MS = 77.03) is substantially larger than the within-group variability (SS = 708.88, df = 96, MS = 7.38), resulting in an F-statistic of 10.43. Since this F-value exceeds the critical value of 2.70 and the p-value (5.28 × 10⁻⁶) is far below the 0.05 significance level, the null hypothesis of equal means is rejected. This implies that at least one group mean differs significantly from the others, although further post hoc analysis would be required to identify the specific group differences.

Conclusion : Consumers can prefer Mumbai as it has significant difference in the preference ratings.

 

References:

1. Sharma, R., & Verma, S. (2022). Urban migration and city preference in India: A comparative study of metropolitan cities. Journal of Urban Studies, 45(3), 210–225.

 

2. Kumar, A., & Singh, P. (2021). Determinants of residential choice in Indian cities: An analysis of tier-1 and tier-2 urban centers. International Journal of Social Economics, 38(4), 145–160.

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