How the Surinamese property market works: four markets, one cycle

Suriname has no coherent measurement of its property market: no house price index, no rent index, no transaction statistics. The IMF has recommended a house price index since May 2026. This report explains the DiPasquale–Wheaton four-quadrant model, translates it to the Surinamese market, maps which official figures do exist and presents the design of the Vastgoedmonitor Suriname (Suriname Property Monitor), PAM's quarterly publication from 2027.

Executive Summary

Paramaribo, October 2026 · version 1.00

Sint Maarten, with some 45,000 inhabitants, has published a quarterly property price index since May 2025. Trinidad and Tobago publishes cement sales, building permits, the mortgage portfolio and material prices every quarter. Suriname has individual series (construction costs, housing costs, credit), but no coherent measurement of its property market. Anyone wishing to know whether housing in Paramaribo is becoming more expensive must rely on advertisements, anecdotes and the exchange rate of the day.

This report does three things. It explains the framework with which real estate economics has described the relationship between rents, values, construction and stock since 1992: the DiPasquale–Wheaton four-quadrant model. It translates that framework to the Surinamese market and maps which figures do exist today. And it presents the design of the Vastgoedmonitor Suriname (Suriname Property Monitor), the quarterly publication with which PAM Research & Analytics intends, from 2027, to help fill that gap as a complement to official statistics.

This is the third report in a series. The first (August 2026) dealt with title as a product; the second (September 2026) with the distortion of prices by exchange rate and inflation. This report presents the market as a whole. The reference date is 18 October 2026.

At a glance: the four markets

Key findings

1. Suriname has no coherent measurement of its property market. There is no house price index, no rent index and no public transaction statistics from the Management Instituut GLIS (MI-GLIS) or the notarial profession. The results of the 2024 census had not been published at the reference date; the last housing census dates from 2012. The International Monetary Fund (IMF) has recommended "a housing price index to monitor real estate risks" since May 2026.
2. What does exist partially covers three of the four quadrants. The construction price index of the Algemeen Bureau voor de Statistiek (ABS) rose by 14.6 per cent year on year in the fourth quarter of 2025 (construction market). The consumer price group housing and utilities rose by 7.6 per cent in August 2026 (space market, a rough measure). Credit to the housing construction sector amounted in April 2026 to 17.3 per cent of the credit portfolio in Surinamese dollars (SRD), which grew by 26.4 per cent year on year (asset market). For the stock, there is nothing more recent than 2012.
3. The four-quadrant model links those figures into a single cycle. Rent is determined by demand and stock; value by rent and required return; new construction by value and construction costs; stock by new construction and demolition. A shock in one quadrant works through to the other three with a lag. In the model, that is the sequence a demand shock would follow from first oil in 2028.
4. The Surinamese market departs from the standard model on four points. The required return is currency-dependent, because the market calculates in euros and dollars. The mortgage rate (3, 5 and 7 per cent at an inflation rate of 8 per cent) is decoupled from the market rate. The stock is determined in part by form of title and the issue of state land. And construction costs follow the exchange rate because of the high import share.
5. The government steers supply, oil steers demand, and the bank sits in between. The National Housing Programme (July 2026) deploys a fund of SRD 250 million at 3 and 5 per cent interest against an estimated housing shortage of some 30,000 households. First oil from GranMorgu is expected in 2028; the IMF projects growth of 28.5 per cent in 2028 and 43.4 per cent in 2029. Private credit growth in 2025 (over 40 per cent, two thirds of it in foreign currency) is the channel through which that expectation is already reaching the property market; it is also the risk the IMF identifies for the banks.
6. The Vastgoedmonitor Suriname (Suriname Property Monitor) will appear quarterly from 2027. The first edition will appear in April 2027 covering the first quarter of 2027, with the fourth quarter of 2026 as the baseline, initially for Greater Paramaribo, with fixed indicators, fixed sources and a predefined methodology for each quadrant. The design and the ground rules are set out in chapter 8.

Market Context & Quantitative Data

1. What the neighbours measure and Suriname does not

A property monitor is not a luxury reserved for large economies. Table 1 sets out the periodic publications of nearby and comparable markets side by side.

Table 1. Periodic property statistics in nearby and comparable markets. Sources: Curaçao Chronicle (6 May 2025), CBTT Economic DataPack (March 2026), CBS Curaçao (2022), IMF Working Paper 20/20.

The IMF named the absence of a coherent measurement in Suriname in May 2026. In its technical assistance report on the macroprudential framework, it recommends that the Centrale Bank van Suriname (CBvS) develop "a housing price index to monitor real estate risks" and institute a quarterly survey of banks on lending conditions. The rationale: "rapid credit growth, particularly in foreign currency, raises concerns" (IMF, HLS/26/22).

2. What Suriname does measure

Three official series touch the property market, each from one quadrant of the model explained in chapter 4 (Table 2); Figures 1 and 2 show the course of the construction price index and of the housing group of the consumer price index (CPI).

Table 2. Official series touching the property market. Sources: ABS (construction price index, release of 29 January 2026; CPI sheet August 2026, 22 September 2026; census 2012, volume III), CBvS (Economic Bulletin March and April 2026).

What is missing is as important as what exists. There are no official statistics on building permits; at the end of 2024 the Ministry of Public Works (OW) reported only that the number of applications "has remained stable since 2022", without figures. There is no published series of mortgage rates and no total mortgage portfolio in SRD, only the sector share. There are no separate price series for cement, steel or timber, only main groups of the construction price index. And there is no measurement of vacancy, time-to-let or rents by neighbourhood. Private claims about rents (for example "plus 20 per cent in five years") lack method or sample and are therefore unusable.

3. The figures by quadrant at the reference date

Table 3 presents the four quadrants in figures at the reference date, with the latest verified reading for each indicator.

Table 3. The four quadrants in figures at 18 October 2026. The exchange rate is the latest CBvS daily publication that could be verified at the reference date. Compiled by PAM Research & Analytics.

Analysis & Methodology

4. The four-quadrant model

In 1992 DiPasquale and Wheaton published a framework that has since become the standard in real estate economics. At its core is the separation of two markets: the market for space, where tenants and users buy the use of buildings, and the market for assets, where investors buy the ownership of buildings. "Rent is determined in the property market for space, not in the asset market for ownership", the authors write. The two markets are linked in two ways: through rent, which determines the demand for assets, and through the construction sector, which adds assets to the space market (Table 4).

Table 4. The four quadrants of DiPasquale and Wheaton (1992). The notation of quadrant 3 follows the original; textbooks often write the relationship the other way round as C = f(P), which says the same thing in substance. Source: DiPasquale and Wheaton (1992, 1996).

Run the model yourself. Choose a shock below and follow step by step how it travels through the four quadrants.

The model is a long-run equilibrium. It says in which direction each market moves after a shock, but not how fast or how far. That is precisely where its value for a monitor lies: it compels the four markets to be measured simultaneously and the lags between the quadrants to be named. The literature acknowledges the limitations. The model is static and does not describe the intermediate steps of the adjustment (Du Toit and Cloete, 2003). The capitalisation rate is exogenous, a point Viezer (1999) already made and that Du Toit and Cloete adopt, whereas in reality it is determined in part by vacancy and time-to-let (Lisi, 2025). And the model has a single required return, whereas in practice the rate at which a home buyer borrows differs from the investor's discount rate; Łaszek (2025) therefore extends the model with a separate mortgage channel. Each of those three limitations is a characteristic of the market in Suriname, as chapter 5 shows.

5. The model translated to Suriname

Quadrant 1, the rental market

In Suriname, the demand for space E is driven by population and household formation, by incomes in SRD, by demand from the diaspora and, in the run-up to and after first oil, by the housing demand of the oil and gas sector. According to the latest available estimate (indicative, 2016), some 1,350 new households are formed each year, against housing production of roughly half that number. The stock S has been unknown since 2012. In practice, rent is agreed in euros or dollars, so that the SRD rent moves with the exchange rate. The monitor must therefore set up its own rent measurement: by neighbourhood, by type, in the currency of the agreement.

Quadrant 2, the asset market

This is where Suriname departs most strongly. The capitalisation rate i has two guises: a euro or dollar required return for the investor who calculates in foreign currency, and an SRD required return that embodies the inflation expectation. Given a consistent exchange rate expectation, both express the same required return (parity); in practice they diverge because the exchange rate expectation is uncertain and differs between parties. In addition, the mortgage rate for home buyers is set administratively: 7 per cent through the CBvS cash-reserve facility and 3 and 5 per cent through the National Housing Construction Fund. At the current inflation rate of 8 per cent, the latter two are negative in real terms; the 7 per cent facility comes out at around zero in real terms against the CBvS projection of 7.4 per cent at end-2026. That supports the demand for housing as an asset independently of rent developments, the situation for which Łaszek (2025) extends the model with a separate mortgage channel.

The size of that channel should not be overstated. Credit growth to the housing construction sector (17.3 per cent of SRD credit, +4.7 per cent in April 2026, the fastest-growing sector that month) fits this picture, but only a small part of it is attributable to the subsidised windows: the 7 per cent facility had extended some SRD 200 million since the end of 2023, against a housing construction portfolio of roughly SRD 3 billion. The broader credit expansion (total SRD credit +26.4 per cent year on year; private credit growth in 2025 over 40 per cent, two thirds of it in foreign currency) and the negative real rate on SRD deposits probably weigh at least as heavily. The monitor must separate the two, and must measure the currency side: a foreign-currency loan to a borrower with SRD income is the vulnerability the IMF points to.

Quadrant 3, the construction market

Replacement cost follows the exchange rate, because cement, steel, installation materials and finishes are largely imported; only sand, shells, timber and labour are local. The construction price index rose by 63, 47 and 50 per cent in 2021, 2022 and 2023 respectively, fell by 8 per cent in 2024 when the SRD appreciated and rose again by 11 per cent in 2025. The labour component (over 40 per cent of the weight) is not priced by the ABS; under wage pressure, the actual cost increase is therefore higher than the index indicates. That is not a theoretical point: in Guyana, the oil and services sector drew labour away from construction, and an index without labour would not have shown that cost increase. In the model, building pays when price exceeds replacement cost; in a market that prices in euros and builds in SRD, that threshold shifts with every movement in the exchange rate.

Quadrant 4, the stock

In Suriname, additions to the stock are determined not only by construction but by the issue of state land and form of title. A plot held in grondhuur (leasehold of state land) can only be built on after the allocation decision, registration and PerceelsID; a subdivision can only be delivered after approval by the Ministry of Public Works. The government is thereby the largest landowner, the permitting authority and, since July 2026, the financier of demand all at once. The National Housing Programme aims at 10,000 dwellings in four years; Reeberg, Voorburg and Pontbuiten are the first projects (Table 3). In the model, the programme acts in two places at the same time: the Housing Construction Fund lowers the interest rate for buyers and acts on the asset market (quadrant 2); preparing and issuing land lowers construction costs and shifts the construction curve (quadrant 3). Which of the two dominates determines whether the programme mainly produces prices or mainly produces stock.

Taken together, the four departures (currency-dependent required return, subsidised mortgage rate, policy-driven stock and exchange-rate-sensitive construction costs) mean that a Surinamese monitor cannot make do with a price index. It must measure by quadrant and carry the exchange rate as a fifth variable.

6. A shock analysis: what oil does to the cycle

Since the investment decision of 1 October 2024, the GranMorgu project in Block 58 has been under development: an investment of USD 10.5 to 12.2 billion and a production capacity of 220,000 barrels per day, with first oil in 2028. The IMF projects economic growth of 3.9 per cent in 2026, 4.4 per cent in 2027, 28.5 per cent in 2028 and 43.4 per cent in 2029, with a doubling of real GDP by 2030 (Country Report 26/37). The Inter-American Development Bank (IDB) calls the growth leap of 2028 "a one-time spike in output rather than a structural acceleration". That leap is one-off in growth terms; the higher level of output and income remains. For the property market, therefore, what matters is not the growth peak of 2028 but the permanently higher income level thereafter.

The timing of the local demand shock is often misjudged. The construction phase of the project (2025 to 2028) takes place offshore and consists almost entirely of imports; the IMF projects the current account deficit at 34 per cent of GDP in 2025 and 48 per cent in 2026, financed by direct investment. Local demand in that phase is limited to logistics, a small number of expatriates and suppliers. The major demand impulse comes through government revenue and the income effects after first oil, and then builds gradually. In the four-quadrant model this is a demand shock in quadrant 1, and the model gives the sequence of consequences.

1. Rents rise first. The demand for space E rises against a stock S that is fixed in the short run; rent R rises until the market clears. In Georgetown, rents rose sharply after the oil discovery: the IMF recommended better data and macroprudential supervision as early as 2020 (Chow, IMF Working Paper 20/20), and in 2024 the press reported housing allowances for oil workers of more than USD 2,500 per month and rents for two-room apartments that rose by a third within a year (Stabroek News, 18 June 2024). The Surinamese president referred to that risk in May 2026 as a motive for the housing plan.
2. Values follow. A higher rent at an unchanged required return gives a higher value (P = R / i). If, in addition, the required return falls because capital flows into Suriname and country risk is repriced, that reinforces the rise in values. Private credit growth in 2025 (over 40 per cent in nominal terms, two thirds of it in foreign currency; IMF, Country Report 26/37) shows that this channel is already open, on expectation.
3. Construction responds with a lag. When value exceeds replacement cost, new construction pays; but in the real estate literature, two to five years typically elapse between decision and completion (DiPasquale and Wheaton, 1996), and in Suriname the issue of state land, subdivision approval and PerceelsID are added to that. It is precisely this lag that causes the boom-bust patterns the model describes. The risk is two-sided: construction started on expectation in 2026 or 2027 is completed before the demand is there; construction decided only in 2028 on realised rents is completed in 2030 and 2031, when rents have already been climbing for two to three years.
4. The stock grows and rent falls. Only once the new stock is in place does the cycle return to equilibrium. Anyone who buys on the basis of a rent that has just been driven up by a demand shock is buying at a rent level the model does not regard as lasting.

Three forces determine the scale and route of this adjustment. First, public finances. In 2026 the IMF is calling for a substantial fiscal adjustment at a debt of over 100 per cent of GDP; until 2028, that restrains domestic demand. Thereafter, the spending limits under the Savings and Stabilisation Fund Act (December 2024) determine how much of the oil revenue reaches the economy directly; that pace, not the production date, determines the scale of the rent shock. The fund does, however, have to be filled for this purpose (in November 2025 the IMF was still urging its operationalisation), and it has no grip on private capital inflows and credit growth; there, the CBvS and the macroprudential framework must act.

Second, real appreciation. Oil revenue makes a country more expensive in international terms, in one of two ways. Under a floating exchange rate, the SRD appreciates in nominal terms; construction costs in SRD then fall (as in 2024, when the construction price index fell by 8 per cent) and so do the SRD rents of contracts agreed in euros or dollars. Under a stable nominal exchange rate, the Guyana pattern, the appreciation runs through domestic prices: housing, services and food become more expensive while the exchange rate stays the same, and rents rise for those who earn in SRD. Which route Suriname takes depends on the exchange rate policy of the CBvS and on the extent to which the government spends its oil revenue. In both cases, housing is the first non-tradable good to carry the adjustment; that is why the monitor must measure the exchange rate and rent in the currency of the agreement side by side.

Third, the supply response, which in Suriname is policy-driven (chapter 5, quadrant 4). Georgetown has a physically constrained residential area; Greater Paramaribo does have room for supply through the issue of state land. Whether the Georgetown pattern repeats itself therefore depends in part on the speed of the issue of state land, subdivision approval and parcel identification.

7. Methodology and limitations

This report draws on the original publication by DiPasquale and Wheaton (1992), the 1996 textbook and the secondary literature that tests and extends the model (Du Toit and Cloete, 2003; DeSalvo, 2017; Lisi, 2025; Łaszek, 2025). The Surinamese figures come from publications of the ABS (construction price index, consumer price index, census 2012), the CBvS (Economic Bulletin, exchange rates) and the IMF (Article IV 2025, technical assistance reports 2026). In addition, reporting by gov.sr, Suriname Herald, Key News, GFC Nieuws and Stabroek News up to and including 18 October 2026 has been used.

Limitations

No published application of the four-quadrant model to a Caribbean or small economy was found; the translation in chapter 5 is PAM's own. The construction price index for the first and second quarters of 2026 was not available online at the reference date. The housing shortage of 30,000 households is a government figure without a published method. Household formation of some 1,350 per year comes from a 2016 master's thesis. The size of the housing construction portfolio (some SRD 3 billion) is derived from the sector share and total SRD credit. Remittances from the diaspora have not been quantified; the CBvS balance of payments would be the source for that. The Guyana comparison concerns an economy with its own currency, a larger oil production per inhabitant and a capital with little room for expansion; it shows the direction in which the market moves, but says nothing about the scale in Suriname. In accordance with PAM's publication policy, no absolute numbers from our own files are published.

Strategic Scenarios

8. The Vastgoedmonitor Suriname: design

From 2027, PAM Research & Analytics will publish the Vastgoedmonitor Suriname (Suriname Property Monitor) every quarter. The first edition will appear in April 2027 covering the first quarter of 2027; the fourth quarter of 2026 serves as the baseline and basis for comparison. Each edition will appear within six weeks of the end of the quarter. The first editions cover Greater Paramaribo: the district of Paramaribo, the district of Wanica and the part of Commewijne directly across the Suriname River up to and including Tamanredjo; the other districts will follow as soon as the series allow. The methodology will be fixed in November 2026 and thereafter amended only by means of a dated change note; earlier figures will be marked as such when revised. Before the first edition, PAM will seek consultation with the ABS, the CBvS and MI-GLIS on definitions and alignment with existing series; the monitor is intended as a complement to, not a replacement for, official statistics. The data map (Table 5) sets out for each quadrant what is measured, from which source and with what status.

Table 5. Data map of the Vastgoedmonitor Suriname, version 0. "As ratios" means that only index figures, percentages and ratios are published from our own files, never counts or amounts. Series with the status "under consultation" will be included only after agreement with the data holder. The definitive data map will be adopted in November 2026.

Five ground rules have been fixed in advance. First: every figure has a source and a reference date; public sources take precedence over our own data, and an estimate is called an estimate. Second: only ratios are published from our own files, and a cell is published only when there are at least ten observations in the quarter; below that, a range or a qualitative judgement follows. Third: the monitor describes the market, not the players; it contains no judgement on individual parties and no recommendations on individual properties. Fourth: as long as a series is young, the monitor publishes directions and ranges rather than percentages with spurious precision. Fifth, independence: PAM values and SC-REAS surveys and subdivides in the same market the monitor describes. For that reason the methodology is published, our own files are used only as an index or ratio, PAM and SC-REAS take no investment positions of their own in the monitored segments, and a small external reader group reviews each edition before publication.

9. What banks, investors and government gain from it

For banks, the monitor delivers part of what the IMF asks for: the part that is possible without transaction data from MI-GLIS and the notarial profession. A quarterly series of rents, asking prices and appraised values by segment in Greater Paramaribo is not a house price index, but it is an external reference against which to test the development of collateral values by segment, alongside the exchange rate and the foreign-currency share of credit as first risk indicators. The IMF also recommends a quarterly survey of banks on lending conditions. For that purpose PAM offers the banks a short quarterly questionnaire on direction and terms (no amounts, no portfolio data), of which participants receive the breakdown ahead of publication.

For investors and the diaspora, the monitor answers the question of where in the cycle the market stands: are rents still rising faster than values (early phase), or is construction already catching up with demand (late phase)? The model in chapter 6 gives the sequence; the monitor gives the position.

For government, the monitor is an instrument for timing the supply response and making it visible. The housing programme is a policy-driven shift of the construction curve; with a quarterly measurement of rents and stock growth, the government can itself show what the programme is delivering and where adjustment is needed.

Conclusion

10. Conclusion

The Surinamese property market stands on the eve of a demand shock of a scale it has not seen in decades, and it is not being measured coherently. The four-quadrant model shows that the shock moves through the market in a fixed sequence: first rents, then values, then construction, then stock. The lag between those steps determines who gains and who buys at a temporary rent level. The shock does not begin in the construction phase of the oil project, which takes place offshore, but at first oil in 2028, and its scale depends on fiscal policy, exchange rate policy and the speed of the issue of state land.

The three official series that exist (construction costs, housing costs, credit) each partially cover one quadrant; rents, transactions and the stock are not measured. From 2027, the Vastgoedmonitor Suriname (Suriname Property Monitor) fills that gap every quarter, initially for Greater Paramaribo, as a complement to official statistics and with the four Surinamese departures from the standard model as fixed components. The design is set out in chapter 8; the baseline for the fourth quarter of 2026 is in preparation.

About PAM Research & Analytics

PAM Research & Analytics carries out IVS-compliant valuations and market analyses for banks, investors and governments. Banks, developers, estate agents and government bodies wishing to contribute to the monitor can get in touch via advisory@pamnv.com; contributions from developers and estate agents are published exclusively as ratios, and for banks the quarterly questionnaire of chapter 9 applies. Background on forms of title, the issue of state land and surveying, the stock side of the model, can be found in the knowledge base and the brochures at www.sc-reas.com.

References

Theory

• DiPasquale, D. & Wheaton, W.C. (1992). The Markets for Real Estate Assets and Space: A Conceptual Framework. Journal of the American Real Estate and Urban Economics Association, 20(1), 181–197.
• DiPasquale, D. & Wheaton, W.C. (1996). Urban Economics and Real Estate Markets. Prentice Hall.
• Du Toit, H. & Cloete, C.E. (2003). Appraisal of the Fischer-DiPasquale-Wheaton (FDW) Real Estate Model and Development of an Integrated Property and Asset Market Model. PRRES Conference, Brisbane. prres.org
• DeSalvo, J.S. (2017). Teaching the DiPasquale-Wheaton Model. Journal of Real Estate Practice and Education, 20(1), 1–25. digitalcommons.usf.edu
• Lisi, G. (2025). Search and Matching in the "Four Quadrant" Model. In: Search and Matching in the Housing and Labour Markets, Springer, 33–39. ideas.repec.org
• Viezer, T.W. (1999). Econometric Integration of Real Estate's Space and Capital Markets. Journal of Real Estate Research, 18(3), 503–519.
• Łaszek, J. (2025). The Contemporary DPW Model for the Commercial Real Estate Sector and its Analytical Capabilities. Real Estate Management and Valuation, 33(3), 87–100. ideas.repec.org
• Chow, J.T. (2020). Guyana: Housing Market and Implications for Macroprudential Policies. IMF Working Paper 20/20. imf.org
• Budike, K. (2016). Suriname's Social Housing Policy (master's thesis). catalog.ihsn.org

Monitors in the region

• Curaçao Chronicle (6 May 2025). To track real estate trends, CBCS and Kadaster Sint Maarten launch Property Price Index. curacaochronicle.com
• Central Bank of Trinidad and Tobago (March 2026). Economic DataPack. central-bank.org.tt
• CBS Curaçao (9 February 2022). De ontwikkeling van de woningmarkt in de periode 2010–2021. cbs.cw
• Stabroek News (18 June 2024). City rents high and going higher. stabroeknews.com

Suriname: statistics, central bank, IMF and IDB

• Algemeen Bureau voor de Statistiek (29 January 2026). Bouwprijsindex, vierde kwartaal 2024 tot vierde kwartaal 2025. statistics-suriname.org
• Algemeen Bureau voor de Statistiek (22 July 2026). CPI-sheet juni 2026. statistics-suriname.org
• Algemeen Bureau voor de Statistiek (22 September 2026). CPI-sheet augustus 2026. statistics-suriname.org
• Algemeen Bureau voor de Statistiek (2014). Census 2012, volume III. statistics-suriname.org
• Algemeen Bureau voor de Statistiek. Census 2024 (web page, last modified 4 November 2024). statistics-suriname.org
• Centrale Bank van Suriname (March 2026). Economisch Bulletin maart 2026. cbvs.sr
• Centrale Bank van Suriname (April 2026). Economisch Bulletin april 2026. cbvs.sr
• Centrale Bank van Suriname (28 August 2026). Gewogen gemiddelde wisselkoersen, dagpublicatie 15.00 uur. cbvs.sr
• IMF (February 2026). Suriname: 2025 Article IV Consultation, Country Report 26/37. imf.org
• IMF (20 November 2025). Suriname: Staff Concluding Statement of the 2025 Article IV Mission. imf.org
• IMF (May 2026). Suriname: Macroprudential Framework, technical assistance HLS/26/22. imf.org
• Caribbean Today / CMC (26 August 2026). IDB says Suriname's medium-term economic outlook is favourable. caribbeantoday.com
• Offshore Magazine (28 May 2026). GranMorgu project advances toward 2028 first oil. offshore-mag.com
• gov.sr (31 December 2024). Wet Spaar- en Stabilisatiefonds aangenomen. gov.sr

Suriname: housing policy and market

• gov.sr (7 July 2026). Officiële uitvoering Nationaal Huisvestingsprogramma in de startblokken. gov.sr
• gov.sr (9 July 2026). Uitvoering Nationaal Huisvestingsprogramma markeert start duurzaam huisvestingsbeleid. gov.sr
• GFC Nieuws (9 July 2026). Regering stort SRD 250 miljoen in Nationaal Woningbouwfonds. gfcnieuws.com
• Suriname Herald (9 July 2026). Simons: 10.000 woningen in vier jaar zou grote stap zijn voor Suriname. srherald.com
• Key News (18 May 2026). Huisvestingsplan moet binnen twee weken naar DNA. keynews.sr
• Key News (9 February 2025). Succesvolle aanpassing 7%-financieringsfaciliteit stimuleert woningbouw en eigen woningbezit. keynews.sr
• Key News (24 December 2024). Directoraten Openbare Werken presenteren jaarverslagen en blikken vooruit op 2025. keynews.sr
• PAM Research & Analytics (August 2026). Grond kopen in Suriname: veertien controles vóór u tekent. pamnv.com/insights
• PAM Research & Analytics (September 2026). Waarom SRD-vastgoedprijzen misleiden: koers, inflatie en de echte waarde van grond en woningen. pamnv.com/insights

Disclaimer

This report has been prepared by PAM Research & Analytics (PAM N.V.) on the basis of academic literature, public statistics of the ABS and the CBvS, publications of the IMF and the IDB, and press reporting. The sources were consulted up to and including 18 October 2026. It contains no investment advice, no valuation of any specific property and no forecast of prices or exchange rates. The shock analysis in chapter 6 describes the direction of adjustments according to the model used and the conditions on which their scale and timing depend; it is not a forecast. The design of the Vastgoedmonitor Suriname (Suriname Property Monitor) in chapter 8 is a statement of intent; the definitive methodology will be published with the first edition. Figures from our own files are published exclusively as ratios. PAM N.V. and SC-REAS N.V. are affiliated companies. Concepts of value in PAM publications follow the International Valuation Standards (IVS).

Jeffrey Pengel