Investment report · Generated September 11, 2026

Zambia

Income level helps show which property segments can exist. Returns depend on supply, entry yield, entry date, and currency.

Executive Summary

What does the evidence say now?

Only at the right price

Income and segment evidence are promising, but currency risk can erase local gains.

GDP per capita

$1,318

US$ per person · 2025 · World Bank NY.GDP.PCAP.CD · USD

GDP per capita forecast

Not available

US$ per person · 2031 · International Monetary Fund NGDPDPC · USD · estimated

Best segment

Warehouses and logistics

Section 5 · Internal dataset

Gross rental yield

8.3–9.0%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Reasons to look

Warehouses and logistics has the strongest comparable-market income profile.
The market can add units as demand grows.
5 income-level comparables provide a cross-market reference set.

Reasons not to

Zambian kwacha has depreciated more than 30% in ten years.
6 segment claims have thin evidence.
Important supply figures are not available.

This report uses 82 data points from 20 sources. 73 are estimates or modelled values.

Country Overview

What kind of economy is this, and where is it going?

GDP

$28.9B

US$ · 2025 · World Bank NY.GDP.MKTP.CD · USD

GDP per capita

$1,318

US$ per person · 2025 · World Bank NY.GDP.PCAP.CD · USD

GDP per capita, PPP

$4,379

international $ · 2025 · World Bank NY.GDP.PCAP.PP.CD · not applicable

Real GDP growth, five-year average

+4.9%

% per year · 2021–2025 · World Bank NY.GDP.MKTP.KD.ZG · real

Real GDP growth forecast

Not available

% per year · 2031 · International Monetary Fund NGDP_RPCH · real · estimated

GDP per capita forecast

Not available

US$ per person · 2031 · International Monetary Fund NGDPDPC · USD · estimated

Population

21,913,874

people · 2025 · World Bank SP.POP.TOTL · not applicable

Urban population

45.9%

% of population · 2025 · World Bank SP.URB.TOTL.IN.ZS · not applicable

Urban population growth

+3.7%

% per year · 2025 · World Bank SP.URB.GROW · not applicable

Inflation

+13.9%

% per year · 2025 · World Bank FP.CPI.TOTL.ZG · not applicable

Exchange rate

25.28

ZMW/US$ · 2025 · World Bank PA.NUS.FCRF · not applicable

Currency depreciation, ten-year

+310.7%

% · Latest ten years · World Bank Derived from PA.NUS.FCRF · USD · modelled

Mortgage lending rate

26.0%

% per year · Latest available · National agencies and broker research Central bank and lender review · not applicable · estimated

Mortgage debt to GDP

Not available

% of GDP · Latest available · National agencies and broker research Central bank and IMF FSI review · not applicable · estimated

Construction and real estate share

10.2%

% of GDP · Latest available · National agencies and broker research National accounts review · not applicable · estimated

The Zambian kwacha has lost 310.7% against the dollar over the latest ten-year window. Property here can rise every year in ZMW and still lose you money in dollars.

Income per person, current US dollars. World Bank to 2025, IMF forecast after that.

Market Structure & Supply

If demand rises, does it become higher prices or more buildings?

Building permits issued

Not available

count per year · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Housing completions

Not available

count per year · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Units under construction

Not available

units · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Completions per 1,000 people

Not available

ratio · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Estimated housing deficit

1,500,000

units · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Vacancy rate, Lusaka

Not available

% · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Construction cost change

Not available

% over five years · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Land price change

Not available

% over five years · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Time to obtain a building permit

189

days · Latest available · National agencies and broker research National statistics and broker review · not applicable · estimated

Supply response rating

Not available

1–5 · Current conditions · Intelligence Real Estate Supply response model · not applicable · modelled

Inputs to the modelled rating

Completions per 1,000 people, permit time, vacancy, and available land evidence. Missing inputs are not treated as zero.

There is not enough verified supply data to rate this market.

Comparable Markets

Which countries were here before, and what happened next?

India

Reached this income level in 2010 · National or broker series

STRONG

City apartment prices rose 41% over the next 10 years.

Nominal

+18.0%

Ten years after income match · Intelligence Real Estate

Real

+4.1%

Ten years after income match · Intelligence Real Estate

US dollar

-58.0%

Ten years after income match · Intelligence Real Estate

Early entry

+4.3%

real per year · modelled

Income-match year

+3.2%

real per year · modelled

Late entry

+1.6%

real per year · modelled

Sri Lanka

Reached this income level in 2006 · National or broker series

POOR

Prices fell 12% over the following 5 years.

Nominal

-12.0%

Ten years after income match · Intelligence Real Estate

Real

-25.9%

Ten years after income match · Intelligence Real Estate

US dollar

-66.0%

Ten years after income match · Intelligence Real Estate

Early entry

-2.7%

real per year · modelled

Income-match year

-3.8%

real per year · modelled

Late entry

-5.4%

real per year · modelled

Philippines

Reached this income level in 2006 · National or broker series

FLAT

City apartment prices rose 52% over the next 10 years.

Nominal

+30.0%

Ten years after income match · Intelligence Real Estate

Real

+16.1%

Ten years after income match · Intelligence Real Estate

US dollar

+23.5%

Ten years after income match · Intelligence Real Estate

Early entry

+5.0%

real per year · modelled

Income-match year

+3.9%

real per year · modelled

Late entry

+2.3%

real per year · modelled

Indonesia

Reached this income level in 2006 · National or broker series

STRONG

City apartment prices rose 34% over the next 10 years.

Nominal

+36.0%

Ten years after income match · Intelligence Real Estate

Real

+22.1%

Ten years after income match · Intelligence Real Estate

US dollar

-23.2%

Ten years after income match · Intelligence Real Estate

Early entry

+5.3%

real per year · modelled

Income-match year

+4.3%

real per year · modelled

Late entry

+2.6%

real per year · modelled

Georgia

Reached this income level in 2005 · National or broker series

FLAT

City apartment prices rose 64% over the next 10 years.

Nominal

+42.0%

Ten years after income match · Intelligence Real Estate

Real

+28.1%

Ten years after income match · Intelligence Real Estate

US dollar

+2.9%

Ten years after income match · Intelligence Real Estate

Early entry

+5.7%

real per year · modelled

Income-match year

+4.6%

real per year · modelled

Late entry

+3.0%

real per year · modelled

These countries reached this income level at different times, under different supply and credit conditions. Similar income does not mean similar outcome — the set includes a poor outcome in Sri Lanka.

Segment Viability

Which property types can exist at this income level?

Apartments to rent out

Not yet · Sells in months

Main risk: Rents follow local wages. Easy to sell, easy to oversupply.

Typical income threshold

$1,800

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

3.4–8.1%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

+15.5%

Real

-54.0%

US dollar

-209.4%

Evidence: moderate

Warehouses and logistics

Not yet · Hard to sell

Main risk: Needs a tenant with a long lease. Hard to sell quickly.

Typical income threshold

$2,500

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

8.3–9.0%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

+18.5%

Real

-51.0%

US dollar

-206.4%

Evidence: thin · Based on limited data

Student housing

Not yet · Sells in months

Main risk: Income stops between school terms. Depends on one campus.

Typical income threshold

$2,200

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

6.4–8.6%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

+10.0%

Real

-59.5%

US dollar

-214.9%

Evidence: thin · Based on limited data

Affordable housing

Emerging · Sells in months

Main risk: Thin margins. Depends on government rules staying stable.

Typical income threshold

$1,200

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

5.6–7.9%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

+15.5%

Real

-54.0%

US dollar

-209.4%

Evidence: thin · Based on limited data

Shops and small retail

Not yet · Sells in months

Main risk: Small tenants fail first in a downturn.

Typical income threshold

$2,000

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

6.5–7.6%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

+4.5%

Real

-65.0%

US dollar

-220.4%

Evidence: thin · Based on limited data

Offices

Not yet · Hard to sell

Main risk: Long empty periods. Slow to re-let after a tenant leaves.

Typical income threshold

$3,500

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

6.6–8.0%

% range · 2012–2024 · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

-3.0%

Real

-72.5%

US dollar

-227.9%

Evidence: thin · Based on limited data

Hotels and short-stay

Not yet · Hard to sell

Main risk: Limited evidence; operating performance varies by asset.

Typical income threshold

$4,000

US$ per person · Comparable sample, 2010–2024 · Intelligence Real Estate Segment viability dataset · USD · modelled

Gross rental yield

Not available

% range · Not available · Intelligence Real Estate Property return dataset · not applicable · estimated

Nominal

Not available

Real

Not available

US dollar

Not available

Evidence: thin · Based on limited data

Asset Analysis

How does a specific property compare?

Add the property to complete this section

Price, size, rent, costs, and borrowing turn the country evidence into an asset verdict, required rent, break-even occupancy, and debt-service cover.

Analyze a property

Financial Projections

What might this return, and where does the return come from?

Country-level illustration using the leading segment. Add a property for asset-specific cash flows.

Projected net yield

6.5%

25% costs · 10-year model

Exit value

$143,809

US$ · 10-year model

Equity multiple

0.00×

10-year model · modelled

Annual return (IRR)

-20.8%

Counting when money is returned

Return decomposition

Yield

+6.5%

Capital growth

+3.7%

Currency effect

-31.1%

The three parts sum to the modelled total return, within rounding.

Growth Scenarios

What happens when the assumptions change?

Input / output	Downside	Base	Upside
GDP per capita growth
Rent growth
Yield movement, bp
Currency vs US$
Supply change
Annual return (IRR)	-26.7%	-18.7%	-13.7%
Equity multiple	0.9×	1.6×	2.2×
Capital returned	Not available	Year 8	Year 6

Downside currency uses the country's worst available three-year exchange-rate move. Inputs are editable; outputs are modelled.

Risk Analysis

What can break the return?

Risk	Likelihood	Quantified impact / test	Mitigation
Currency	High	+310.7% ten-year move; worst three-year run +92.7%.	Reduce unhedged dollar exposure.
Entry vintage	Medium	Test purchase at the last local peak.	Require an entry-yield margin.
Oversupply	Medium	Compare completions with household formation.	Track permits and pipeline quarterly.
Yield decompression	High	+150bp lowers the exit value.	Do not rely on yield compression.
Construction-led growth	Low	10.2% of GDP.	Separate building activity from end demand.
Kwacha volatility changes dollar returns.	Medium	Country-specific review	Verify before commitment.
Market liquidity is limited.	Medium	Country-specific review	Verify before commitment.
Comparable transaction evidence is thin.	Medium	Country-specific review	Verify before commitment.

Investment Opportunity

What is the thesis, and what must be true?

What we think this is

A selective warehouses and logistics opportunity, not a broad call on property prices. Income level supports segment viability. Entry yield, supply, timing, and currency decide whether the investor keeps the return.

Recommended segment

Warehouses and logistics · Evidence: thin

What has to be true

Entry yield remains at or above 8.3%.
Completions do not rise more than 30% above trend.
Currency depreciation stays below its worst recent three-year run.
Required rent remains within 10% of the city average.

What we would not do

Pay above the local price benchmark, rely on yield compression, or use debt that pushes DSCR below 1.25×.

This is analysis, not investment advice. Every projection here is a forecast and forecasts are wrong. Past performance in comparable markets does not predict this one.

Assumptions & Methodology

Which values are measured, estimated, or modelled?

Measured

Official published series

Estimated

Manual or forecast values

Modelled

Derived values

Comparable selection. We take today's income per person, find when other markets first crossed that level, and keep markets with enough later property evidence. A poor outcome is retained.

Price basis. Nominal is the published local-currency move. Real removes consumer-price inflation. US dollar also includes the exchange-rate move. No nominal price return appears alone.

Known gaps. Segment return and supply data are thin outside advanced markets. Missing values remain Not available. They are not replaced with zero.

Conventions. CPI is used for deflation. Period-average exchange rates are used for currency conversion.

Sources

Where does every displayed metric come from?

Official statistics

Figure	Section	Value	Basis	Source / series	Retrieved
GDP	2	$28.9B US$	USD	World Bank · NY.GDP.MKTP.CD	2026-09-11
GDP per capita	2	$1,318 US$ per person	USD	World Bank · NY.GDP.PCAP.CD	2026-09-11
GDP per capita, PPP	2	$4,379 international $	not applicable	World Bank · NY.GDP.PCAP.PP.CD	2026-09-11
Real GDP growth, five-year average	2	+4.9% % per year	real	World Bank · NY.GDP.MKTP.KD.ZG	2026-09-11
Real GDP growth forecast	2	Not available % per year	real	International Monetary Fund · NGDP_RPCH	2026-09-11
GDP per capita forecast	2	Not available US$ per person	USD	International Monetary Fund · NGDPDPC	2026-09-11
Population	2	21,913,874 people	not applicable	World Bank · SP.POP.TOTL	2026-09-11
Urban population	2	45.9% % of population	not applicable	World Bank · SP.URB.TOTL.IN.ZS	2026-09-11
Urban population growth	2	+3.7% % per year	not applicable	World Bank · SP.URB.GROW	2026-09-11
Inflation	2	+13.9% % per year	not applicable	World Bank · FP.CPI.TOTL.ZG	2026-09-11
Exchange rate	2	25.28 ZMW/US$	not applicable	World Bank · PA.NUS.FCRF	2026-09-11
Currency depreciation, ten-year	2	+310.7% %	USD	World Bank · Derived from PA.NUS.FCRF	2026-09-11

Industry

Industry sources are market participants, not statistical agencies.

Figure	Section	Value	Basis	Source / series	Retrieved
Mortgage lending rate	2	26.0% % per year	not applicable	National agencies and broker research · Central bank and lender review	2026-09-11
Mortgage debt to GDP	2	Not available % of GDP	not applicable	National agencies and broker research · Central bank and IMF FSI review	2026-09-11
Construction and real estate share	2	10.2% % of GDP	not applicable	National agencies and broker research · National accounts review	2026-09-11
Building permits issued	3	Not available count per year	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Housing completions	3	Not available count per year	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Units under construction	3	Not available units	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Completions per 1,000 people	3	Not available ratio	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Estimated housing deficit	3	1,500,000 units	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Vacancy rate, Lusaka	3	Not available %	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Construction cost change	3	Not available % over five years	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Land price change	3	Not available % over five years	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Time to obtain a building permit	3	189 days	not applicable	National agencies and broker research · National statistics and broker review	2026-09-11
Typical entry ticket	5	$81,000 US$	USD	National agencies and broker research · Broker transaction review	2026-09-11
Typical entry ticket	5	$500,000 US$	USD	National agencies and broker research · Broker transaction review	2026-09-11
Typical entry ticket	5	$115,000 US$	USD	National agencies and broker research · Broker transaction review	2026-09-11
Typical entry ticket	5	$29,000 US$	USD	National agencies and broker research · Broker transaction review	2026-09-11
Typical entry ticket	5	$184,000 US$	USD	National agencies and broker research · Broker transaction review	2026-09-11
Typical entry ticket	5	$426,000 US$	USD	National agencies and broker research · Broker transaction review	2026-09-11
Typical entry ticket	5	Not available US$	USD	National agencies and broker research · Broker transaction review	2026-09-11

Internal dataset

Figure	Section	Value	Basis	Source / series	Retrieved
Supply response rating	3	Not available 1–5	not applicable	Intelligence Real Estate · Supply response model	2026-09-11
India house prices	4	+18.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
India house prices	4	+4.1% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
India house prices	4	-58.0% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Sri Lanka house prices	4	-12.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Sri Lanka house prices	4	-25.9% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Sri Lanka house prices	4	-66.0% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Philippines house prices	4	+30.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Philippines house prices	4	+16.1% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Philippines house prices	4	+23.5% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Indonesia house prices	4	+36.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Indonesia house prices	4	+22.1% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Indonesia house prices	4	-23.2% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Georgia house prices	4	+42.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Georgia house prices	4	+28.1% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Georgia house prices	4	+2.9% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$1,800 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	3.4–8.1% % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	+15.5% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-54.0% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-209.4% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$2,500 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	8.3–9.0% % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	+18.5% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-51.0% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-206.4% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$2,200 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	6.4–8.6% % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	+10.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-59.5% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-214.9% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$1,200 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	5.6–7.9% % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	+15.5% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-54.0% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-209.4% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$2,000 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	6.5–7.6% % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	+4.5% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-65.0% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-220.4% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$3,500 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	6.6–8.0% % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-3.0% %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-72.5% %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	-227.9% %	USD	Intelligence Real Estate · Property return dataset	2026-09-11
Typical income threshold	5	$4,000 US$ per person	USD	Intelligence Real Estate · Segment viability dataset	2026-09-11
Gross rental yield	5	Not available % range	not applicable	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	Not available %	nominal	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	Not available %	real	Intelligence Real Estate · Property return dataset	2026-09-11
Five-year price change	5	Not available %	USD	Intelligence Real Estate · Property return dataset	2026-09-11

This report contains 82 figures from 20 sources. 73 are estimates or modelled values.

Real estate agencies, ranked by data quality

Each agency earns one point for each verified factor. Open any awarded point to inspect its evidence. Rankings measure public data transparency, not service quality or investment performance. Reviewed September 28, 2026.

Rank	Agency and main source	Index	Research	Method	Dataset	Frequency	Score
1	Knight Frank Zambia Agency · Zambia and Africa market reports Main source Published July 2024	+1Africa Report 2024/25Published July 2024	+1Africa Report 2024/25Published July 2024	+1Africa Report 2024/25Published July 2024	+1Africa Report 2024/25Published July 2024	0No verified evidence	4 / 5
2	Pam Golding Zambia Agency · Listings and market commentary Main source Published October 29, 2024	0No verified evidence	+1Commercial Corner: Lusaka neighborhoodsPublished October 29, 2024	0No verified evidence	+1Pam Golding Properties Zambia turns fivePublished Publication date not stated	+1Commercial Corner: Lusaka neighborhoodsPublished October 29, 2024	3 / 5
3	Sherwood Greene Agency · Listings and historical market commentary Main source Published June 23, 2016	0No verified evidence	0No verified evidence	0No verified evidence	+1Zambian Property Market at a GlancePublished June 23, 2016	0No verified evidence	1 / 5

A publication date marked “not stated” means the publisher does not display one on the linked page. It does not earn a frequency point unless a reporting schedule is stated.

Executive Summary

Reasons to look

Reasons not to

Country Overview

Market Structure & Supply

Inputs to the modelled rating

Comparable Markets

🇮🇳 India

🇱🇰 Sri Lanka

🇵🇭 Philippines

🇮🇩 Indonesia

🇬🇪 Georgia

Segment Viability

Apartments to rent out

Warehouses and logistics

Student housing

Affordable housing

Shops and small retail

Offices

Hotels and short-stay

Asset Analysis

Add the property to complete this section

Financial Projections

Return decomposition

Growth Scenarios

Risk Analysis

Investment Opportunity

What we think this is

Recommended segment

What has to be true

What we would not do

Assumptions & Methodology

Sources

Official statistics

Industry

Internal dataset

Real estate agencies, ranked by data quality

India

Sri Lanka

Philippines

Indonesia

Georgia