Sri Lanka Land Price Index Calculator (Colombo)

The Central Bank of Sri Lanka publishes the Land Valuation Indicator twice a year for the Colombo District. Each release prints an index level, on base 2017 H1 = 100, for residential, commercial and industrial bare land, plus the headline average of the three. The Statistics Department does not collect the prices itself. Its technical note states: Per perch bare land prices are obtained from the Government Valuation Department on a semi-annual basis.So the underlying figures are the valuation department's per-perch prices for the 13 Divisional Secretariat divisions that make up the district, aggregated into one number per land use per half-year.

This calculator applies the standard index-rebasing identity to that series. If you paid a price in half-year s and want it restated at half-year t for land use u:

value(t) = price(s) × I_u(t) / I_u(s)

Three more figures follow from the same two levels. Total change is I(t) / I(s) - 1. Elapsed time is counted in half-years, the frequency the source publishes, as halves = 2 × (year_t - year_s) + (half_t - half_s), so years is simply halves divided by two. The annualised rate is then (I(t) / I(s)) ^ (1 / years) - 1, reported only once at least one half-year has elapsed. No monthly or quarterly interpolation is done anywhere, because the source publishes none and inventing it would imply precision that is not there.

Two cross-checks run on every page render, and both are shown below. The first uses the structure the Central Bank states in its own technical note: the headline indicator is the simple average of the three sub-indicators. Each sub-indicator is published already rounded to one decimal, so the average of the printed figures can sit one rounding step away from the printed headline; the check allows 0.1 index points and the worst deviation across all 15 half-years is 0.067. A transcription slip of a whole decimal digit would therefore break it rather than ship quietly. The second recomputes every answer a different way: instead of one ratio between two levels, it chains each published half-on-half step from the purchase half to the valuation half. The product telescopes to the same ratio, so agreement proves the series has no gap and the direct method read the two levels it claims to.

The optional consumer-price panel divides the land factor by the Colombo Consumer Price Index factor over the same window, which answers whether the land beat inflation or only kept up with it. A half-year is read at its mid-month: June for an H1 half and December for an H2 half. That is this site's choice, not the source's, and the panel names the two months it used. Because the CCPI series ends before the land series does, the panel shortens the window to the latest half with a published CCPI month and says so.

Every figure in the worked examples above was computed by hand first, then asserted in code. These checks run each time the page renders, so a regression shows up here instead of staying hidden.

• ✓Residential, Rs 9,000,000 at 2021 H2, valued at 2026 H1 → expected Rs 14,543,959, got Rs 14,543,959
• ✓Commercial, Rs 25,000,000 at 2019 H1, valued at 2026 H1 → expected Rs 52,315,175, got Rs 52,315,175
• ✓Industrial, Rs 12,000,000 at 2024 H1, valued at 2026 H1 → expected Rs 13,682,831, got Rs 13,682,831
• ✓Edge case, Rs 1,000,000,000 residential, 2021 H2 to 2026 H1 → expected Rs 1,615,995,462, got Rs 1,615,995,462
• ✓Edge case, Rs 1,234,567.89 a perch commercial, 2023 H1 to 2025 H2 → expected Rs 1,529,854, got Rs 1,529,854
• ✓Chaining each published half-on-half step gives the same answer as one ratio → expected all 5 examples agree, got all 5 examples agree
• ✓LVI equals the mean of the three sub-indicators on all 15 halves → expected deviation at most 0.10 index points, got largest deviation 0.067 index points
• ✓Every half is quoted from a Central Bank release that covers it → expected 15 of 15 halves covered, got 15 of 15 halves covered
• ✓No indicator falls in any half, as published → expected all 4 indicators non-decreasing, got all 4 indicators non-decreasing
• ✓Same half at both ends returns the price unchanged and no annual rate → expected Rs 10,000,000 and no annualised rate, got Rs 10,000,000 and no annualised rate
• ✓A valuation half earlier than the purchase half is rejected → expected no result, got no result

The full published series, base 2017 H1 = 100. The last column is the headline indicator's change on the same half a year earlier, computed from the levels in the same row so it can never disagree with them.

Source: Central Bank of Sri Lanka Land Valuation Indicator press releases, listed below. Each half is quoted from the most recent release that prints it. Last reconciled 2026-10-13.

• The value of your plot. The indicator is an average over the 13 Divisional Secretariat divisions of the Colombo District. A corner block on a main road and an interior block a few hundred metres away sit inside the same number. For a figure a bank, a court or the tax office will accept, apply to the Government Valuation Department for a statutory valuation, or instruct a chartered valuer for a market valuation.
• A rupee price per perch by suburb. No reachable official source publishes one. The Government Valuation Department supplies per-perch prices to the Central Bank but does not publish a lookup list, and broker asking prices are not an official source, so this page does not pretend to have the number.
• Anything outside the Colombo District. There is no published land index for any other district and no national one. A Colombo figure applied to Gampaha or Kandy would be a guess wearing a citation.
• A breakdown by division. The sub-indicators are built per division but only the district aggregate and the three land-use series are published.
• Monthly or quarterly movement. The source is half-yearly. No interpolation is applied.

Stamp duty, registration fees and municipal rates on the transaction itself are separate calculations. The stamp duty calculator, land registration fee calculator and property rates calculator cover those. For perches to acres, roods, hectares or square feet, use the land area converter, and for general rupee purchasing power the inflation calculator uses the same CCPI series as the panel in the tool above.

• CBSL: Land Valuation Indicator, First Half of 2026 (published 2026-08-17, levels for 2023 H2 to 2026 H1)
• CBSL: Land Valuation Indicator, First Half of 2025 (published 2025-08-27, levels for 2022 H2 to 2025 H1)
• CBSL: Land Valuation Indicator, Second Half of 2022 (published 2023-02-24, levels for 2020 H1 to 2022 H2)
• CBSL: Land Valuation Indicator, Second Half of 2021 (published 2022-06-30, levels for 2019 H1 to 2021 H2)
• CBSL: Land Valuation Indicator statistics page and release archive
• Department of Census and Statistics: monthly Colombo Consumer Price Index

Index levels were last reconciled against these releases on 2026-10-13, and overlapping half-years agreed to the decimal across the four of them. The 2026 H2 release is expected late February 2027; this page is reviewed after each one. The Government Valuation Department's own site did not resolve from our server when the data was transcribed, so no figure here is taken from it directly.