Three public-source datasets on silver jewelry: 10-year price history, US consumer demographics, and seasonal search demand. Each dataset ships with a CSV download and APA / MLA / Chicago citation strings — ready for editorial, academic, or classroom use.
3 datasetsCSV · APA · MLA · ChicagoPublic sources onlyv1.0
About v1.0 — Public-Data-Only
This first release of the dashboard draws exclusively from publicly available sources (LBMA spot benchmark, Google Trends, and publicly-quoted Statista / BLS / MJSA summaries). Proprietary 25hours sales data is not used in this release — any future enriched version will be published separately and clearly marked. Anyone citing this page can treat it as a public-source digest without proprietary-data concerns.
Dataset A. LBMA Silver Spot Annual Average
USD / troy ounce
Year
USD / oz
Context
2015
$15.68
Slight mid-year rally; average suppressed by strong USD
2016
$17.14
Brexit June + post-US-election rally
2017
$17.05
Range-bound; narrow volatility band
2018
$15.71
USD strength + trade-war fears compress metal prices
Consumer demographics aggregated from publicly-quoted Statista summaries, US Bureau of Labor Statistics Consumer Expenditure Survey, and Manufacturing Jewelers & Suppliers of America (MJSA) annual reports. Individual row values rounded to integer percentages; totals may not equal 100% due to rounding. Proprietary sales-data enrichment is out-of-scope for this v1.0 public-only release.
Dataset C. US Monthly Search Interest — 'silver jewelry'
Google Trends index (100 = annual peak)
Month
Search index
Jan
72
Feb
85
Mar
62
Apr
58
May
65
Jun
55
Jul
50
Aug
52
Sep
55
Oct
62
Nov
95
Dec
100
Values averaged across 2020–2024 for each calendar month. Index re-normalized so the peak month (December) = 100. Feb peak (85) reflects Valentine's Day demand; Nov-Dec peak reflects holiday-season gifting. May uptick aligns with Mother's Day.
Dataset A (LBMA spot). The LBMA Silver Price is a benchmark auction-determined price published daily at 12:00 London time. Annual averages here are the arithmetic mean of daily fixings. Where a year's underlying data is still being finalized (most recent year), the published year-to-date average is used. Values rounded to two decimal places.
Dataset B (consumer profile). Percentages aggregate publicly-summarized findings from Statista research reports, US Bureau of Labor Statistics Consumer Expenditure Survey tabulations for jewelry, and MJSA annual industry reports. Source documents include representative samples of US consumers; individual-year precision varies. Rows are rounded to integer percentages; totals may deviate ±2% from 100% due to rounding.
Dataset C (search interest). Google Trends provides a normalized search-interest index (peak month = 100) rather than raw volume. Monthly averages here pool 2020–2024 to smooth out single-year noise. Absolute search volume is not available through the public Trends interface; relative seasonality is the meaningful signal.
Known limits of v1.0
No geographic granularity beyond US. International silver jewelry markets (EU, APAC, India) are out of scope until v2.
No channel breakdown. Online vs bricks-and-mortar, DTC vs retail — not included in v1 public aggregates.
No price elasticity or forecasts. Historical observation only; no model outputs.
Consumer demographics are survey-based. Self-reported; actual buyer demographics may differ.
An enriched v2.0 release with proprietary sales breakdowns is possible but not scheduled. For specific data requests, contact support@25hours.net.
Using this page in an article. All datasets on this page are free to cite and reproduce with attribution. Preferred attribution: "25hours Silver Reference Library (25hours.net/pages/silver-industry-data-dashboard, v1.0, public-source release 2026)." The embedded CSV files are the canonical downloadable versions — they include context notes and source URLs.
