Steam reference observations for the last complete month: 2026-09-01 to 2026-09-30 (Africa/Lagos). Each row summarises one country, currency and recorded form.
| Country / currency / form | Days observed | First → last | Mean / range (NGN) | Change |
|---|---|---|---|---|
| United StatesUSD · Form unspecified | 132026-09-01 to 2026-09-13 | ₦1,059.04 → ₦1,057.55 | ₦1,058.09₦1,054.56 – ₦1,062.50 | -0.14% |
| United KingdomGBP · Form unspecified | 132026-09-01 to 2026-09-13 | ₦1,433.38 → ₦1,430.72 | ₦1,430.14₦1,426.16 – ₦1,433.38 | -0.19% |
| CanadaCAD · Form unspecified | 132026-09-01 to 2026-09-13 | ₦772.55 → ₦773.26 | ₦773.29₦769.70 – ₦776.33 | 0.09% |
| SwitzerlandCHF · Form unspecified | 132026-09-01 to 2026-09-13 | ₦1,346.98 → ₦1,349.13 | ₦1,348.96₦1,344.46 – ₦1,352.28 | 0.16% |
| SingaporeSGD · Form unspecified | 132026-09-01 to 2026-09-13 | ₦825.73 → ₦829.12 | ₦828.81₦825.61 – ₦832.76 | 0.41% |
| New ZealandNZD · Form unspecified | 132026-09-01 to 2026-09-13 | ₦620.05 → ₦620.72 | ₦621.12₦618.19 – ₦623.78 | 0.11% |
| MalaysiaMYR · Form unspecified | 132026-09-01 to 2026-09-13 | ₦265.87 → ₦265.42 | ₦265.24₦264.16 – ₦266.68 | -0.17% |
| Euro areaEUR · Form unspecified | 132026-09-01 to 2026-09-13 | ₦1,240.85 → ₦1,242.51 | ₦1,241.86₦1,237.85 – ₦1,246.63 | 0.13% |
| IndiaINR · Form unspecified | 132026-09-01 to 2026-09-13 | ₦11.03 → ₦11.04 | ₦11.04₦10.99 – ₦11.09 | 0.09% |
| BrazilBRL · Form unspecified | 132026-09-01 to 2026-09-13 | ₦184.35 → ₦183.92 | ₦183.87₦183.18 – ₦184.56 | -0.23% |
| South AfricaZAR · Form unspecified | 132026-09-01 to 2026-09-13 | ₦63.23 → ₦63.11 | ₦63.04₦62.84 – ₦63.34 | -0.19% |
| MexicoMXN · Form unspecified | 132026-09-01 to 2026-09-13 | ₦60.07 → ₦59.86 | ₦59.84₦59.57 – ₦60.07 | -0.35% |
| PolandPLN · Form unspecified | 132026-09-01 to 2026-09-13 | ₦288.70 → ₦289.41 | ₦289.65₦288.06 – ₦290.66 | 0.25% |
| AustraliaAUD · Form unspecified | 132026-09-01 to 2026-09-13 | ₦759.67 → ₦758.34 | ₦759.06₦756.30 – ₦761.68 | -0.18% |
What this report can establish
Each daily observation uses the last stored positive row for that date. Mean, low, high and percentage change are calculated within the same route. Missing days are not filled. A one-day series has no measured movement across days. The mean is not weighted by transaction volume.
What it cannot establish
These records do not prove completed sales, demand, liquidity or a buyer’s payout. We do not average NGN-per-USD with NGN-per-GBP or other currencies into a market-wide rate. A bigger number in another currency does not identify a better deal.
Using the figures
Check the number of observed days and the first and last available dates before comparing changes. Use the calculator for an indicative face-value calculation and the source-date audit for current coverage. The methodology explains the underlying source limitations.