Preliminary Analysis and Data Source Identification

Preliminary Analysis and Data Source Identification

A. Identifying Necessary Data:

  • Data is classified into General Data and Specific Data.
    • General Data relates to property prices in the market, divided into:
      • Broad Market Trend Data: Includes economic indicators, interest rates, inflation rates, population growth, unemployment, and overall supply and demand in the real estate market.
      • Localized Competitive Supply and Demand Data: Includes the number of properties for sale, time on market, sales rates, rental rates, occupancy rates, and new construction permits in the property’s area.
    • Specific Data relates to the property being appraised and comparable properties.
      • Location Data: Includes geographic location, proximity to facilities and services, natural views, and the surrounding environment.
      • Physical Data: Includes land area, building area, number of rooms, quality of finishes, building condition, building age, and architectural design.
      • Legal Data: Includes type of ownership (freehold or leasehold), legal restrictions on property use (e.g., allowable heights), easements, mortgages, and property taxes.
      • Financial Data: Includes operating income (if the property is leased), operating expenses, net operating income, capitalization rate, and return on investment.
      • Transaction Data: Includes sales prices of comparable properties, sale dates, and sale conditions (e.g., financing or cash sale).
  • Data is also classified into Primary Data and Secondary Data.

    • Primary Data is collected directly by the appraiser or other experts.
      • Personal Inspection of the Property: Examining the property and assessing its condition and specifications.
      • Interviews with Owners, Tenants, and Real Estate Agents: Gathering information about the property’s history and use, local market conditions, and future expectations.
      • Opinion Surveys: Gathering information about local residents’ opinions about properties and services in the area.
    • Secondary Data is collected and published by other sources.
      • Government Records: Land registration data, zoning maps, building permits, and property taxes.
      • Real Estate Databases: Sales price data, listings of properties for sale, and rental data.
      • Economic Reports: GDP data, inflation, unemployment, and interest rates.
      • Trade Publications: Real estate market data, price trends, and expert analyses.
        B. Identifying Data Sources:
  • Potential sources include:

    1. Appraiser’s Files: Containing historical data on the local real estate market, construction costs, and information on comparable properties.
    2. Personal Inspection of the Property: Essential for gathering physical and legal data.
    3. Interviews: With owners, tenants, and real estate agents to gather information about the property’s history and use, local market conditions, and future expectations.
    4. Government Records: For land registration data, zoning maps, building permits, and property taxes.
    5. Real Estate Databases: For sales prices, listings, and rental data.
    6. Economic Reports: For GDP, inflation, unemployment, and interest rates.
    7. Trade Publications: For real estate market data, price trends, and expert analyses.
    8. Financial Institutions: For information on interest rates and financing terms.
    9. Professional Associations: Providing information on professional standards and best practices.
    10. Websites: Providing information on the real estate market and the local economy.

C. Preliminary Analysis:

  • Involves reviewing available data and evaluating its adequacy and reliability.
    1. Assessing Existing Data: Determining the data the appraiser already possesses and its suitability for the valuation process.
    2. Identifying Data Gaps: Determining the data the appraiser needs but does not have.
    3. Identifying Potential Data Sources: Identifying sources for missing data.
    4. Assessing Data Reliability: Determining the reliability of available data by comparing it to other sources and verifying information accuracy.
    5. Determining Data Collection Costs and Time: Estimating the costs and time needed to collect missing data.

D. Developing an Action Plan:

  • Based on the preliminary analysis, a detailed action plan should be developed.
    1. Identifying Tasks: All tasks needed to complete the valuation, such as data collection, data analysis, and report preparation.
    2. Assigning Responsibilities: Determining who is responsible for each task.
    3. Setting a Timeline: Determining start and end dates for each task.
    4. Allocating Resources: Allocating the necessary resources for each task, such as time, money, and personnel.
    5. Identifying Data Collection Methods: Such as personal inspection, interviews, and searches of government records.

E. Proposing Fees and Concluding the Contract:

  • The contract should include:
    1. Identifying the Parties: Appraiser and Client.
    2. Identifying the Property: Clearly and in detail.
    3. Defining the Purpose of the Valuation: Such as obtaining a loan, selling, or insurance.
    4. Defining the Valuation Standards: Such as market value or insured value.
    5. Specifying the Valuation Date.
    6. Defining the Fees: And payment terms.
    7. Defining Liability: The appraiser’s liability in case of errors or omissions.
    8. Defining Confidentiality.

Chapter Summary

This chapter, the second step in real estate appraisal, addresses preliminary analysis and identification of data sources for appraisal, often starting before a full understanding of the appraisal problem and overlapping with data collection (the third step).

Key points:

  • Importance of Preliminary Analysis: Aims to determine the type of data needed and its sources for solving the appraisal problem, ensuring efficiency and effectiveness.
  • Data Types: Divided into two main types:
    • General Data: Related to property values in general, including broad market trends and local supply and demand data.
    • Specific Data: Related to the characteristics of a specific property being appraised.
    • Primary data: Collected directly by the appraiser.
    • Secondary data: Obtained from other sources.
  • Data Sources: Appraisers use various sources, including their own files, personal inspections, interviews with owners, brokers, lenders, government officials, and reviews of statistical data published by government agencies, trade groups, and research institutions.
  • Action Plan: Importance of developing an action plan or timeline for completing the appraisal task. For routine tasks, the plan may be a mental review of the required steps. For more complex tasks, a written timeline is preferred to organize workflow and ensure timely completion.
  • Fee Quote and Contract: Discusses the process of submitting a fee quote and obtaining an appraisal contract, emphasizing the importance of a written request to avoid ambiguity. Appraiser fees depend on their reputation.

Conclusions:

  • Preliminary analysis is a crucial step, determining the type and sources of data needed, significantly impacting the accuracy and reliability of the appraisal.
  • Appraisers should be aware of various data sources and choose the most appropriate for the specific appraisal task.
  • Work planning and organization are necessary for efficient and effective completion of the appraisal task.

Implications:

  • Real estate appraisal training programs should focus on developing appraisers’ preliminary analysis skills.
  • Appraisers should invest in building a comprehensive database of local real estate market information.
  • Organizations using appraisal services should recognize the importance of preliminary analysis and request details on the sources used in appraisals.

Explanation:

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