---
title: Thailand Residential Property Lead-Sourcing Research
research_date: 2026-08-06
purpose: Identify the best official and quasi-official data sources for finding residential property-management prospects in Thailand
audience:
  - founders
  - operators
  - analysts
  - LLM agents
core_conclusion: There is no single public master list of all residential properties and owners in Thailand; the workable approach is to combine Department of Lands project and juristic-entity data with valuation, company-registry, population/household, and supply/pipeline data.
---

# Thailand residential property lead-sourcing research

## Executive summary

If the goal is to identify ideal candidates for residential property-management services in Thailand, the best public starting point is not "all properties" at the individual unit or owner level. The better strategy is to build a universe of:

1. condominium projects
2. land-subdivision / housing-estate projects
3. condo juristic persons
4. housing-estate juristic persons
5. developers and operating entities
6. geographic clusters with high-value or likely absentee-owned stock

The most useful official source stack is:

- Department of Lands (DOL) project search, condo search, and monthly juristic-entity XLS files
- Department of Lands LandsMaps parcel viewer
- Treasury Department valuation tools for land, building, and condominium pricing
- Department of Business Development (DBD) open data and DataWarehouse / BDEX APIs
- Bureau of Registration Administration (BORA) and data.go.th population / household statistics
- National Statistical Office (NSO) building-permit statistics
- REIC for supply, launches, transfers, and area-level residential-market intelligence

### Main conclusion

I did not find a single official public database that exposes every private residential parcel, condo unit, owner name, and contact record in one place. That is an inference from the source landscape below. The official data is fragmented by use case: project registration, juristic registration, parcel map, valuation, corporate registry, and area-level housing statistics.

For property-management sales, that is usually fine. The best prospects are normally buildings, estates, juristic entities, and owner clusters, not every individual homeowner one by one.

## What you can and cannot get publicly

### What you can get

- condo project names, locations, building counts, and room counts
- land-subdivision project names, developers, and locations
- monthly lists of condo juristic persons and housing-estate juristic persons
- parcel maps, parcel size, map context, and land-office jurisdiction
- official appraised values for land, buildings, and condominium units
- developer and operating-company registry data
- area-level counts of houses and population
- residential supply and pipeline indicators by province / metro area

### What you usually cannot get publicly in one place

- one master list of all private residential units nationwide
- clean public owner contact lists for private homes or condo units
- reliable public tenant rosters
- guaranteed occupancy or absentee-owner status at unit level

## Best source stack

## 1. Department of Lands project search

### A. Land-subdivision project search

URL:
- https://www.dol.go.th/land/

What it gives:
- land-subdivision project name
- developer name
- province / location
- project detail page

Why it matters:
- This is one of the strongest official seed lists for housing-estate and village-style residential communities.
- As crawled on Thursday, August 6, 2026, the public search showed `19,846` records.

Best use:
- seed list for gated communities, village projects, and horizontally developed residential estates
- search by province, district, project name, or deed-related context
- find developers and then enrich via DBD

Limits:
- not a unit-by-unit owner list
- details still need confirmation with the responsible land office

Evidence:
- DOL public search page listed project search fields and `19,846` records
- source URL: https://www.dol.go.th/land/

### B. Condominium project search

URL:
- https://www.dol.go.th/building/

What it gives:
- condo name
- number of buildings
- number of rooms
- district / province
- detail page for each condo

Why it matters:
- This is the strongest public official seed list for Thailand condominium projects.
- As crawled on Thursday, August 6, 2026, the public search showed `7,181` condo records.

Useful detail fields visible on condo detail pages:
- condo registration number
- registration date
- room count
- building count
- sometimes linked juristic-person information

Best use:
- target condos above a room threshold, such as 80, 100, or 150 rooms
- prioritize tourist or investor-heavy zones
- identify older buildings likely to need operational upgrades

Limits:
- owner details are not publicly listed
- juristic-person fields are not always populated on every detail page

Evidence:
- DOL condo search page listed condo name, building count, room count, and `7,181` total records
- source URL: https://www.dol.go.th/building/

## 2. Department of Lands monthly juristic-entity lists

These are extremely useful because property-management sales are usually sold to a juristic entity, committee, developer, or operator, not to random individual unit owners.

### A. Condo juristic-person monthly XLS files

URLs:
- Bangkok landing/category pages:
  - https://www.dol.go.th/lc/real-estate/cate-1771822449/cate-1771822630/
- Provincial example page:
  - https://www.dol.go.th/real-estate/cate-1771822449/cate-1771822584/niticondoprovincialjune2026/

Observed file examples:
- `Niti_Condo_bkk june2026.xls`
- `Niti_Condo_provincial june2026.xls`

Why it matters:
- these monthly XLS files are probably the cleanest official operating list of condo juristic persons
- they are much closer to a serviceable buyer list than raw project pages

Best use:
- current outreach list for condo-juristic targets
- identify newly registered condo juristic persons
- identify older projects that now have formal juristic structure

### B. Housing-estate juristic-person monthly XLS files

URLs:
- overall category page:
  - https://www.dol.go.th/real-estate/cate-1771822522/
- provincial category example:
  - https://www.dol.go.th/real-estate/cate-1771822522/cate-1771822732/

Observed file examples:
- `Niti_Estate_bkk april2026.xls`
- `Niti_Estate_provincial march2026.xls`
- `Niti_Estate_provincial may2026.xls`

Why it matters:
- these are the strongest official lead source for village / housing-estate management prospects
- they let you target the actual entity that can hire or replace a manager

Best use:
- identify estates with a formal juristic body
- segment by Bangkok vs. provinces
- track new registrations monthly

## 3. LandsMaps

URL:
- https://landsmaps.dol.go.th/

Supporting official mention:
- DOL provincial page describing LandsMaps:
  - https://www.dol.go.th/phrae/home/

What it gives:
- parcel location
- parcel map context
- area / land shape context
- satellite / street-level context
- land-office jurisdiction
- linked valuation context

Why it matters:
- This is the best official visual tool for checking parcel reality on the ground.
- It is especially useful for villas, housing estates, and land-led developments where project names alone are not enough.

Best use:
- verify whether a lead is a dense condo, scattered villa cluster, or a formal estate
- map access, neighboring land uses, and tourist-area context
- support field-sales routing and territory mapping

Limits:
- not a clean exportable national lead list by itself
- best used as verification and enrichment after seeding from project / juristic lists

## 4. Treasury Department valuation tools

Main valuation hub:
- https://www.treasury.go.th/en/services/land-assessment

Additional valuation pages:
- https://www.treasury.go.th/en/services/land-assessment/land-assessment-value-epv-search-system
- https://www.treasury.go.th/en/services/land-assessment/request-data-center

What it gives:
- land valuation search
- building valuation search
- condominium valuation search
- National Property Valuation Information Center

Why it matters:
- This is the official price / appraisal layer for prioritizing high-value targets.
- It is especially useful when deciding where premium management services are economically viable.

Best use:
- filter toward higher-value condo stock
- rank villa or estate clusters by land / building / condo value
- estimate addressable fee potential before outreach

Important official note:
- Treasury states appraisal schedules for land, buildings, and condo units are generally valid for up to four years, unless revised earlier.

## 5. Department of Business Development open data and APIs

Core sources:
- DBD main site: https://www.dbd.go.th/th
- DBD DataWarehouse+: https://datawarehouse.dbd.go.th/bizopp
- DBD Open Data / BDEX: https://bdex.dbd.go.th/opendata
- data.go.th dataset for juristic registration:
  - https://www.data.go.th/dataset/dataset_11_0313
- data.go.th dataset for newly registered juristic persons:
  - https://www.data.go.th/dataset/dataset_11_0121

What it gives:
- company registration number
- status
- juristic type
- registered capital
- company name
- headquarters address
- registration date
- objectives
- monthly new-company lists

Why it matters:
- This lets you enrich DOL projects with developer and operator data.
- It also helps identify local management companies, SPVs, developers, and new residential entities worth contacting.

Very useful BDEX public API examples observed:
- search juristic person by registration number
- search juristic person by company name
- retrieve certificate / objective information

Best use:
- connect DOL project names to developer entities
- identify newly formed residential SPVs or estate-related operating companies
- filter targets by capital size, status, and geography

## 6. BORA / DOPA population and house counts

Official sources:
- BORA statistical system: https://stat.bora.dopa.go.th/stat/index_backup1.php
- BORA service portal: https://www.bora.dopa.go.th/home/
- data.go.th area population dataset:
  - https://www.data.go.th/th/dataset/statbyyear
- data.go.th official population statistics dataset:
  - https://www.data.go.th/dataset/dopa-star?is_fullscreen=1
- DOPA village-location dataset:
  - https://www.data.go.th/dataset/gis-01

What it gives:
- population counts by area
- house counts in statistical form
- village / local-area location data

Why it matters:
- This is useful for identifying neighborhoods with many houses relative to resident population, which can hint at second homes, inactive units, investment stock, or seasonal usage.
- It is also useful for sizing service territories.

Best use:
- screen subdistricts for high housing stock
- compare houses vs. resident population
- target resort or exurban areas where registered housing stock is large relative to active population

Limits:
- this is area-level, not a property-by-property owner list

## 7. NSO and local building-permit sources

Official sources:
- NSO Statistical Yearbook 2025:
  - https://www.nso.go.th/public/e-book/Statistical-Yearbook/SYB-2025/396/
  - https://www.nso.go.th/public/e-book/Statistical-Yearbook/SYB-2025/397/
- BMA construction-permit service guidance:
  - https://gov.bangkok.go.th/ServiceDetail?id=e024f8d7-01bb-4b38-b696-63f04cb4d3f3

What it gives:
- permitted residential-building counts and areas
- region and province construction trend indicators
- local permit process entry points

Why it matters:
- Permit data is a pipeline signal.
- It helps you identify areas where future management demand is forming before projects fully stabilize.

Best use:
- watch new supply by province / region
- identify markets where new condos or housing estates are coming online
- build developer-target lists early

Limits:
- NSO is mostly statistical, not a clean list of individual projects
- for project-by-project permit detail you usually need municipal or local building-control access

## 8. REIC

Official sources:
- membership search page:
  - https://www.reic.or.th/Landingpage/23?lang=th
- table of published data:
  - https://reic.or.th/Product/Table?lang=th
- research portal:
  - https://www.reic.or.th/Research
- FAQ / update cadence:
  - https://www.reic.or.th/Question/Question

What it gives:
- demand, supply, and pricing indicators
- nationwide residential-market reporting
- monthly and quarterly publication schedules
- paid and member-only deeper project datasets

Why it matters:
- REIC is one of the best sources for deciding where to focus acquisition before you dive into parcel-level work.
- It helps answer "which markets are producing enough condos / homes / transfers to support a management business?"

Important observed details:
- REIC advertises nationwide housing data, including demand, supply, and price indicators
- it states some project-survey data is updated every 3 months for Bangkok, vicinity, and EEC, and every 6 months for some other regions
- member products can export to Excel, PDF, and JPG depending the product

Best use:
- choose provinces and districts before doing detailed property-level lead building
- monitor launches, transfers, completions, and supply by segment

## Best lead-finding approach by property type

### Condominiums

Best official stack:
1. DOL condo project search
2. DOL condo juristic monthly XLS
3. Treasury condominium valuation search
4. DBD developer / juristic enrichment
5. REIC supply / transfer / launch data

Ideal signals:
- 80+ rooms
- 5 to 25 years old
- investor-heavy district
- high or mid-high appraised value
- formal juristic person exists
- tourist, CBD, transit, or expatriate area

### Housing estates / villages

Best official stack:
1. DOL land-subdivision search
2. DOL housing-estate juristic monthly XLS
3. LandsMaps parcel verification
4. Treasury land / building valuation
5. BORA house and population statistics
6. DBD developer enrichment

Ideal signals:
- 80+ homes or large estate footprint
- formal juristic person exists
- mid-market to premium location
- high house count relative to local resident density
- older estate with likely service or governance pain

### Villas / standalone homes

Best official stack:
1. LandsMaps
2. Treasury land and building valuation
3. BORA village and house-count statistics
4. DBD to identify estate or developer entities
5. REIC for area attractiveness

Important truth:
- There is no clean official public "villa directory" for all Thailand private villas.
- For villas, the best official path is cluster detection, not perfect one-by-one enumeration.

Ideal signals:
- high-value resort district
- high housing stock with lower permanent resident intensity
- proximity to beaches, marinas, golf, or tourism clusters
- fragmented ownership with no obvious branded operator

## Recommended lead-generation workflow

## Phase 1. Build the official seed universe

### Condos

- scrape or manually query DOL condo database by province / district
- capture project name, district, room count, building count, registration date if visible
- add monthly condo juristic-person XLSs

### Housing estates

- scrape or manually query DOL land-subdivision database
- add monthly housing-estate juristic XLSs

### Geography

- focus first on:
  - Bangkok
  - Phuket
  - Chonburi / Pattaya
  - Samui / Surat Thani resort belt
  - Hua Hin / Prachuap Khiri Khan
  - Chiang Mai

## Phase 2. Enrich each lead

For each project or estate, add:

- DBD developer / entity registration
- Treasury appraised values
- LandsMaps parcel verification
- BORA subdistrict population / house context
- REIC market context

## Phase 3. Score for ideal candidates

Suggested scoring dimensions:

- size
  - condo room count
  - number of buildings
  - estate scale
- value
  - land / building / condo appraisal
- likely management pain
  - age
  - fragmented ownership
  - complex footprint
- commercial attractiveness
  - resort / investor / transit area
  - premium pricing context
- targetability
  - juristic person exists
  - developer / operator entity identifiable

## Phase 4. Verify and contact

- verify details with responsible land office where needed
- check whether the juristic person is active and identifiable
- use DBD and public web presence to find operating contact points
- use website, map, OTA, or broker evidence to confirm whether the property is owner-occupied, investor-led, or rental-oriented

## Candidate archetypes most likely to buy management services

### 1. Older investor-heavy condos

Profile:
- 100+ units
- 7 to 25 years old
- strong rental or expatriate market
- mid- to high-value district

Why attractive:
- usually have real operational pain
- enough fee base to support a professional manager

### 2. Large housing estates with formal juristic entities

Profile:
- 80+ homes
- existing juristic body
- suburban growth corridor or premium district

Why attractive:
- decision-maker exists
- shared-facility operations create recurring need

### 3. Premium villa clusters in resort zones

Profile:
- coastal or tourism-adjacent
- high appraised land value
- weak centralized operations
- many homes likely used seasonally or as investments

Why attractive:
- owner pain is high
- premium fee potential is high

### 4. Newly formalized juristic entities

Profile:
- new entries in DOL monthly juristic lists

Why attractive:
- they may not have settled on a long-term manager yet
- strong timing advantage for outreach

## LLM-ready source catalog

```yaml
catalog_name: thailand_residential_property_lead_sourcing
catalog_date: 2026-08-06
sources:
  - source_id: dol_land_subdivision_search
    owner: Department of Lands
    url: https://www.dol.go.th/land/
    type: public_search
    residential_coverage:
      - land subdivisions
      - housing estates
    key_fields:
      - developer_name
      - project_name
      - location
      - detail_page
    public_scale_signal: "19,846 records visible on public search page on 2026-08-06"
    best_for:
      - housing_estate_seed_list
      - developer_matching

  - source_id: dol_condo_search
    owner: Department of Lands
    url: https://www.dol.go.th/building/
    type: public_search
    residential_coverage:
      - condominiums
    key_fields:
      - condo_name
      - building_count
      - room_count
      - district
      - detail_page
    public_scale_signal: "7,181 records visible on public search page on 2026-08-06"
    best_for:
      - condo_seed_list
      - sizing_targets

  - source_id: dol_condo_juristic_monthlies
    owner: Department of Lands
    url: https://www.dol.go.th/lc/real-estate/cate-1771822449/cate-1771822630/
    type: monthly_xls_listing
    residential_coverage:
      - condo_juristic_persons
    key_fields:
      - monthly_xls_files
      - bangkok_vs_provincial_split
    best_for:
      - buyer_entity_lists
      - new_juristic_tracking

  - source_id: dol_estate_juristic_monthlies
    owner: Department of Lands
    url: https://www.dol.go.th/real-estate/cate-1771822522/
    type: monthly_xls_listing
    residential_coverage:
      - housing_estate_juristic_persons
    key_fields:
      - monthly_xls_files
      - bangkok_vs_provincial_split
    best_for:
      - village_management_targets
      - juristic_tracking

  - source_id: dol_landsmaps
    owner: Department of Lands
    url: https://landsmaps.dol.go.th/
    type: map_viewer
    residential_coverage:
      - parcels
      - estates
      - villa_clusters
    key_fields:
      - parcel_location
      - map_context
      - land_office_context
    best_for:
      - geospatial_verification
      - route_planning

  - source_id: treasury_valuation
    owner: Treasury Department
    url: https://www.treasury.go.th/en/services/land-assessment
    type: valuation_system
    residential_coverage:
      - land
      - buildings
      - condominiums
    key_fields:
      - land_appraisal
      - building_appraisal
      - condominium_appraisal
    best_for:
      - fee_potential_scoring
      - premium_target_filtering

  - source_id: dbd_registry
    owner: Department of Business Development
    url: https://www.data.go.th/dataset/dataset_11_0313
    type: open_registry_dataset
    residential_coverage:
      - developers
      - operators
      - service_companies
    key_fields:
      - registration_number
      - status
      - juristic_type
      - capital
      - address
      - registration_date
      - objectives
    best_for:
      - developer_enrichment
      - entity_matching

  - source_id: dbd_new_registrations
    owner: Department of Business Development
    url: https://www.data.go.th/dataset/dataset_11_0121
    type: monthly_open_dataset
    residential_coverage:
      - newly_registered_entities
    key_fields:
      - entity_name
      - registration_date
      - capital
      - objectives
      - address
    best_for:
      - new_developer_or_spv_tracking

  - source_id: bora_population_housing
    owner: Bureau of Registration Administration / DOPA
    url: https://stat.bora.dopa.go.th/stat/index_backup1.php
    type: official_statistics
    residential_coverage:
      - population
      - houses
      - villages
    key_fields:
      - area_level_population
      - area_level_house_counts
    best_for:
      - absentee_signal_screening
      - territory_sizing

  - source_id: reic_market_data
    owner: Real Estate Information Center
    url: https://www.reic.or.th/Research
    type: research_and_membership_data
    residential_coverage:
      - supply
      - demand
      - launches
      - transfers
      - prices
    key_fields:
      - area_level_market_indicators
      - update_cadence
    best_for:
      - geography_prioritization
      - market_selection
```

## Practical recommendation

If your goal is property-management sales, do not spend your first cycle chasing a fantasy "all residential properties in Thailand" database.

Do this instead:

1. Build a condo + housing-estate universe from DOL.
2. Layer on monthly condo and estate juristic XLS files.
3. Enrich with valuation from Treasury and entities from DBD.
4. Use BORA and REIC to prioritize districts with the strongest management economics.
5. Treat villas as cluster-detection work, not as a perfect public registry problem.

That gets you much closer to a real, winnable target list.

## Source URLs

- Department of Lands home: https://www.dol.go.th/en/home
- DOL land-subdivision search: https://www.dol.go.th/land/
- DOL condo search: https://www.dol.go.th/building/
- DOL condo juristic categories: https://www.dol.go.th/lc/real-estate/cate-1771822449/cate-1771822630/
- DOL housing-estate juristic category: https://www.dol.go.th/real-estate/cate-1771822522/
- LandsMaps mention: https://www.dol.go.th/phrae/home/
- LandsMaps app / site reference: https://landsmaps.dol.go.th/
- Treasury valuation hub: https://www.treasury.go.th/en/services/land-assessment
- Treasury EPV / land valuation info: https://www.treasury.go.th/en/services/land-assessment/land-assessment-value-epv-search-system
- Treasury National Property Valuation Information Center info: https://www.treasury.go.th/en/services/land-assessment/request-data-center
- DBD main site: https://www.dbd.go.th/th
- DBD DataWarehouse+: https://datawarehouse.dbd.go.th/bizopp
- DBD BDEX open data: https://bdex.dbd.go.th/opendata
- DBD open juristic dataset: https://www.data.go.th/dataset/dataset_11_0313
- DBD new juristic dataset: https://www.data.go.th/dataset/dataset_11_0121
- BORA stats portal: https://stat.bora.dopa.go.th/stat/index_backup1.php
- BORA service portal: https://www.bora.dopa.go.th/home/
- DOPA population dataset: https://www.data.go.th/th/dataset/statbyyear
- DOPA official population dataset: https://www.data.go.th/dataset/dopa-star?is_fullscreen=1
- DOPA village GIS dataset: https://www.data.go.th/dataset/gis-01
- NSO statistical yearbook: https://www.nso.go.th/public/e-book/Statistical-Yearbook/SYB-2025/396/
- REIC membership data page: https://www.reic.or.th/Landingpage/23?lang=th
- REIC publication table: https://reic.or.th/Product/Table?lang=th
- REIC research portal: https://www.reic.or.th/Research
- REIC FAQ / update frequency notes: https://www.reic.or.th/Question/Question