Amogh N P
✦ In loving memory of Amogh N P — Architect · Designer · Visionary ✦
A real-estate analyst's desk with a laptop showing property-market data and charts, printed registry documents, market reports and a notebook, the research behind a decision, no people, no readable text.
Unit VReal Estate Management

Research & Data Collection

Finding, judging and reporting the data behind a decision.

≈ 40 min + studio task

Every real-estate decision rests on data — and bad data sinks good projects. Learn the sources (libraries, archives and the internet) and how to find and evaluate them for reliability; the ethics of real-estate research; the methods of data collection — primary (observation, interviews, questionnaires, sampling) and secondary; and writing it up with a clear outline, referencing and presentation. The research discipline, pointed at the property market.

Learning objectives

By the end of this lesson, you will be able to — mapped to the course outcomes for Real Estate Management:

1
CO5 · Apply

Find and evaluate sources — library, archive and internet — for reliability.

2
CO5 · Evaluate

Apply research ethics to real-estate data.

3
CO5 · Apply

Choose primary and secondary data-collection methods.

4
CO5 · Create

Write up and present a real-estate research finding with references.

Judge what you use

Sources, reliability & ethics

Judge every source by evidence, not availability — a registered transaction beats a brochure asking price; and honest research, with disclosed assumptions, can and should kill a bad project.[1, 2]

An asking price is not a sale price Registered transaction Government dataset Brochure asking price Forum post / stale listing > > Judge every source on authority, currency, relevance and evidence. 'If it's online it's reliable' is a myth — weight a source by its evidence, not its availability.
DiagramJudge sources by evidence — a registered transacted sale price outranks a brochure asking price

Judge what you use

Real-estate research draws on LIBRARIES and ARCHIVES (records, deeds, plans, statistics) and the INTERNET (listings, portals, news, government data). The internet brings new information fast, but also MISUSE — asking prices passed off as transacted prices, biased developer data, stale listings. Judge every source on AUTHORITY, CURRENCY, RELEVANCE and EVIDENCE: a registered transaction beats a brochure, a government dataset beats a forum post. MISCONCEPTION→correct: 'if it's online it's reliable' — weight a source by its evidence and independence, not its availability; an asking price is not a sale price.[1]

Primary, secondary, write-up

Collecting & reporting data

Most research combines secondary data to frame the market with primary fieldwork to ground-truth it; then a clear outline, consistent referencing and an up-front headline make it usable.[2]

Primary & secondary data PRIMARY — collect first-hand observation (footfall) interviews (brokers, buyers) questionnaires (demand) sampling SECONDARY — already published census & economic statistics registry / transaction data market reports planning documents Most research COMBINES both — secondary to frame the market, primary to ground-truth it. An honest study can kill a project — and that is exactly its value.
DiagramData is primary, collected first-hand by observation, interviews, questionnaires and sampling, or secondary, already published in statistics, registries and reports

Collect it, or find it

Data is PRIMARY (you collect it first-hand) or SECONDARY (already published). PRIMARY methods: OBSERVATION (counting footfall, surveying a site), INTERVIEWS (brokers, buyers, officials), QUESTIONNAIRES (structured surveys of demand), and SAMPLING to make a manageable survey represent the market. SECONDARY sources: census and economic statistics, registry and transaction data, market reports, planning documents. Most real-estate research COMBINES both — secondary data to frame the market, primary fieldwork to ground-truth it.[2]

Primary vs secondary

At a glance

AspectDetailNote
Primary dataObservation, interviews, surveyCollected first-hand
Secondary dataStatistics, registries, reportsAlready published
Source weightRegistered transaction, govt data> brochure, forum post
Asking priceAdvertised≠ transacted (sale) price
Honest studyCan kill a projectThat is its value
Vocabulary

Key terms

Source reliability

Judge by authority, currency, relevance and evidence — not availability.

Asking vs transacted price

What is advertised vs what actually sold — never confuse them.

Research ethics

Honest data, disclosed assumptions, no study bent to a wanted answer.

Primary / secondary data

Collected first-hand / already published.

Sampling

Studying a representative part to stand for the whole market.

Referencing

Citing every source consistently so the evidence can be checked.

Apply it

Studio task

Plan the data collection for a market study of a residential submarket: list two primary methods (e.g., a broker interview script, a footfall count) and two secondary sources (e.g., registry data, a market report), and say how you would check a price you find online against a transacted price. Then write one sentence on why a feasibility study written to justify a decision already made is misconduct.

Check your understanding

Self-assessment

1. Which is the more reliable price evidence?

2. Interviewing brokers and surveying footfall on site are examples of —

3. A feasibility study written to justify a decision already made is —

In a nutshell

Recap

Real-estate research draws on libraries, archives and the internet — judge every source by evidence, not availability.
An asking price is not a transacted price; a registered sale and government data beat a brochure.
Research ethics demand honest data and disclosed assumptions — an honest study can, and should, kill a bad project.
Collect primary data (observation, interviews, questionnaires, sampling) and use secondary data to frame the market.
Write it up with a clear outline, consistent referencing, and the headline, risks and assumptions up front.
The evidence

References & further reading

  1. [1]Galaty et al., Modern Real Estate Practice — sources, data and disclosure in real estate.
  2. [2]Kothari, Research Methodology + Peiser & Frej (ULI) — data collection, market research and reporting.
  3. [3]Miles, Berens & Weiss, Real Estate Development: Principles and Process — the market study and its data.
  4. [4]RICS / valuation ethics codes — honest, disclosed real-estate analysis.

Further reading

  • Galaty et al. — Modern Real Estate Practice.
  • Peiser & Frej — Professional Real Estate Development (ULI).
  • Kothari — Research Methodology: Methods and Techniques.

Sources gathered and fact-checked June 2026. Published values vary by source, sample and method — treat as indicative and confirm against the cited standard before structural use.