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Underlying sources: Bloomberg, Engineering and Mining Journal, Platts Metals Week, Thomson Reuters Datastream and the World Bank.\n\nThe World Bank's Pink Sheet reports monthly average prices in nominal US dollars, not adjusted for inflation (the chart's constant-dollar option can adjust them). The World Bank compiles them from the market sources it names for each commodity and updates the workbook early each month; recent months can be revised. The World Bank publishes the data under a Creative Commons Attribution 4.0 licence. The series runs from January 1960.\n\nProjection: CK Economics statistical projection. The central path comes from exponential smoothing (ETS) on the logarithm of the series with a damped additive trend, so recent growth is carried forward but fades over time. It runs only as far ahead as backtests support: the model is refitted at past dates, its forecasts are scored against what happened, and it is shown only for horizons where its errors were at least 5% smaller than those of the better of a no-change forecast and repeating the same month a year earlier. The shaded band is the 80% range of those backtest errors. It is a conditional estimate that extrapolates past patterns: it does not model policy, tariffs, recessions or other shocks, and it is not an official forecast of the source agency.","quality":{"status":"current","label":"Current","explanation":"The latest figures we have collected are for Sep 2026. Oct 2026 is not overdue until February 4, 2027, a generous allowance for a monthly series until we have timed this source’s releases.","last_period":"2026-09-01","next_period":"2026-10-01","next_expected_by":"2027-02-04","provisional_from":null,"revisions_last_30_days":0,"last_revised_at":null,"source_checked_at":"2026-10-19T22:30:04.241376+00:00","definitions":"https://www.ckeconomics.com/methodology#data-status"},"projection":{"label":"Statistical projection","disclosure_label":"CK forecast","model":"ets_log","model_name":"Exponential smoothing, damped trend","fitted_from":"2006-10-01","fitted_to":"2026-09-01","estimated_on":"2026-10-16","horizon_months":3,"horizon_years":null,"band_percent":80,"backtest":{"errors":"log","margin":0.05,"method":"rolling-origin-v2","buckets":[{"best":"naive","mase":0.961,"smape":7.48,"months":3,"passes":true,"origins":40,"rel_mae":0.909,"coverage":0.792,"error_hi":0.119019,"error_lo":-0.111582,"mase_naive":1.057,"mase_snaive":3.189,"smape_naive":7.98,"coverage_model":0.917},{"best":"naive","mase":1.943,"smape":14.89,"months":6,"passes":false,"origins":39,"rel_mae":0.957,"coverage":0.778,"error_hi":0.276014,"error_lo":-0.159026,"mase_naive":2.03,"mase_snaive":3.245,"smape_naive":14.98,"coverage_model":0.838},{"best":"naive","mase":2.911,"smape":21.54,"months":12,"passes":false,"origins":37,"rel_mae":1.01,"coverage":0.743,"error_hi":0.462858,"error_lo":-0.185765,"mase_naive":2.883,"mase_snaive":3.283,"smape_naive":20.81,"coverage_model":0.748},{"best":"naive","mase":4.197,"smape":30.72,"months":24,"passes":false,"origins":33,"rel_mae":1.07,"coverage":0.705,"error_hi":0.696333,"error_lo":-0.386409,"mase_naive":3.924,"mase_snaive":4.053,"smape_naive":28.68,"coverage_model":0.79},{"best":"seasonal_naive","mase":4.905,"smape":35.85,"months":36,"passes":false,"origins":29,"rel_mae":1.136,"coverage":0.741,"error_hi":0.794771,"error_lo":-0.325858,"mase_naive":4.386,"mase_snaive":4.319,"smape_naive":32.15,"coverage_model":0.839},{"best":"naive","mase":5.127,"smape":37.03,"months":60,"passes":false,"origins":21,"rel_mae":0.983,"coverage":0.646,"error_hi":0.704413,"error_lo":-0.134436,"mase_naive":5.215,"mase_snaive":5.669,"smape_naive":37.49,"coverage_model":0.935}],"data_to":"2026-09-01","origins":40,"withheld":null,"benchmark":"best of naive and seasonal naive","last_origin":"2026-06-01","min_origins":8,"first_origin":"2016-09-01","max_coverage":0.92,"min_coverage":0.65,"horizon_months":3}},"projection_withheld":null,"ck_content_license":"https://creativecommons.org/licenses/by/4.0/","license_note":"CC BY 4.0 covers CK Economics' own calculations and projections. Source data remains under its publisher's terms.","terms":"https://www.ckeconomics.com/terms","citation":"Conkling & Kopcik Economics. (2026). Tin — Monthly Price (LME) [Data set]. https://www.ckeconomics.com/data/tin-price","fields":{"period":"Start date of the period (YYYY-MM-DD)","value":"Observation or projection, in US$ per metric ton","is_forecast":"true for CK Economics projections, false for published observations","lower":"Lower bound of the projection range (projections only)","upper":"Upper bound of the projection range (projections 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