Nelly Chapter four final correction_093444

Chapter Four: Data Presentation Research Methodology

4.1 Base Data

  • Focus: Analysis of rental trends for commercial properties in Enugu metropolis.

  • Method: Distribution and collection of questionnaires.

Questionnaire Distribution Summary

  • Table 1: Distribution and Return of Questionnaire

    • Class of Respondent: Estate Surveying and Valuation Firms

    • Sample Size/Number Distributed: 44

    • Number Returned/Retrieved: 37 (84.1%)

    • Number Not Returned/Improperly Filled: 7 (15.9%)

    • Total: 100%

    • Observation: High response rate of 84.1%.

Respondent Demographics

  • Table 2: Respondents Distribution by Sex

    • Male: 29 (78.4%)

    • Female: 8 (21.6%)

    • Conclusion: Predominantly male respondents.

  • Table 3: Respondents Distribution by Age

    • Ages 25-34 years: 3 (8.11%)

    • Ages 35-44 years: 10 (27.03%)

    • Ages 45-54 years: 14 (37.84%)

    • Ages 55-64 years: 6 (16.22%)

    • Ages 65 and above: 4 (10.81%)

    • Conclusion: Majority aged between 35-64 years.

Respondent Marital Status

  • Table 4: Marital Status

    • Single: 12 (32.4%)

    • Married: 25 (67.6%)

    • Divorced: 0

    • Observation: Most respondents are married.

Respondent Academic Qualifications

  • Table 5: Academic Qualifications

    • WASC/GCE/NECO: 7 (18.9%)

    • NCE/OND: 9 (24.4%)

    • B.Sc./HND: 12 (32.4%)

    • M.Sc.: 5 (13.5%)

    • Ph.D.: 4 (10.8%)

    • Conclusion: Majority hold HND/B.Sc qualifications.

Duration in Practice

  • Table 6: Duration in Practice

    • 1-5 years: 2 (5.4%)

    • 6-10 years: 5 (13.5%)

    • 11-15 years: 18 (48.6%)

    • 16 years and above: 12 (32.5%)

    • Conclusion: Most respondents have significant experience in practice.

Categories of Commercial Properties

  • Table 7: Categories of Commercial Properties Occupied

    • Offices: 22 (59.5%)

    • Shops: 15 (40.5%)

    • Observation: Focus on offices and shops for analysis.

Analysis of Data and Interpretation of Results

  • Rental Values Analysis: 2016-2023 using annual average rental values.

  • Method: Weighted mean was utilized for accurate reflection of rental values.

Weighted Rent Calculation for Offices (2022)

  • Table 8: Weighted Rent for Offices

    • N800,000: 6 units (0.16)

    • N850,000: 7 units (0.19)

    • N950,000: 8 units (0.22)

    • N1,000,000: 9 units (0.24)

    • N1,200,000: 7 units (0.19)

    • Total Weighted Rent: N966,500.

Rental Trends from 2016-2023

  • Table 9: Rental Trends

    • Sample data by year shows positive rental growth:

      • 2016: Offices N400,000, Shops N280,000

      • 2023: Offices N1,800,000, Shops N1,300,000.

  • Indicates a robust market performance over the years.

Annual Rental Growth Rates

  • Table 10: Annual Rental Growth Rates

    • Detailed percentage change year-on-year from 2016 to 2023 for both offices and shops.

    • Example: 2017 growth for offices = 30%.

    • Overall Conclusion: Positive annual growth trend observed.

Factors Influencing Rental Values

  • Table 11: Factors Influencing Rental Values

    • Critical Factors:

      • Tenant demand (Ranked 1).

      • Infrastructure improvements (Ranked 2).

      • Government policies (Ranked 3).

    • Noted that tenant demand significantly influences rental stability.

Hypothesis Testing and Conclusion

  • Table 12: Analysis of Variance

    • Rental value variation significantly impacts commercial property rental values.

    • Decision Rule: Accept the null hypothesis based on F-ratio comparison (calculated F = 18.7414).

    • Conclusion: Statistically significant findings correlate with rental variations and property values.

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