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WWW Diamond Forecasts Ltd

WWW Diamond Information Database

The database is designed to be a central depository for all information relating to the diamond industry. The database contains history and forecasts for all stages of the diamond pipeline, as well as history and forecasts for the macro-economic factors that have a bearing upon the diamond industry.

The techniques developed by WWW allow subscribers to analyse the effects of any factor, economic, cultural or political upon the diamond trade including demand (Both regional and Global), supply (Rough being mined), manufacturing techniques, prices (Rough and Polished) and stocks.

Macro Economics

The macro economic environment has an obvious effect upon the diamond trade. WWW has developed econometric models based on past behaviour of consumer demand to establish our forecasts for the future. As well as the Central Forecast WWW can provide Supply/Demand Scenarios for any circumstances, either macro economic, or diamond specific.

The macro economic data currently available for the countries covered by the database are:

  • Population
  • Exchange Rates
  • Real GDP
  • Nominal GDP
  • Real Consumer Expenditure
  • Nominal Consumer Expenditure
  • Inflation

Retail Jewellery

The WWW database contains estimates of past Jewellery consumption, as well as forecasts for the future for 74 countries. For each country we estimate the number of pieces sold, the retail value in Local currency and dollars, and also the carats and value of the polished contained in that jewellery at wholesale values. This polished demand is also expressed in the five broad categories used in our analysis of supply and demand.

A more detailed analysis down to individual sizes, colours and qualities is available on demand.

WWW commissions its own consumer research to create this database.

Polished Demand

Market research information is used to express retail demand in polished wholesale terms. The base model is broken down into five broad categories of polished.

Fine Large: +20pts D-I Colour. Flawless to VS2

Fine Small: -20pts D-I Colour. Flawless to VS2

Commercial Large: +20pts J-K Colour. SI1-SI3

Commercial Small: -20pts J-K Colour. SI1-SI3

Mixed: L and below I1 and below

WWW produces price forecasts for these five broad categories of rough. The sophistication of the modelling allows different splits to be analysed upon demand.

Rough Demand and Supply

WWW Mining data provides a breakdown by producer into the following five categories of rough.

Fine Large:
+3gr D-I Colour. Flawless to VS2
DTC Extra-2nd Colour, 1st and 2nd Quality

Fine Small:
-3gr D-I Colour. Flawless to VS2
DTC Extra-2nd Colour, 1st and 2nd Quality

Commercial Large:
+3gr J-K Colour. SI1-SI3
DTC 3rd and 4th Colour, 3rd and 4th Quality

Commercial Small:
-3gr J-K Colour. SI1-SI3
DTC 3rd and 4th Colour, 3rd and 4th Quality

All Goods Colour K and down, and below I1
Clivage, Rejections, Boart etc

Rough to Polished models convert this data into the expected polished outcome.


WWW collects information on, and makes forecasts of stocks at all stages of the diamond pipeline.

Rough Stocks in Cutting Centres
Polished Stocks in Cutting Centres
Stocks at Wholesale Jewellery
Stocks in Retail Jewellers.

Our unique insight into the diamond industry allows us to create an in depth and internally consistent analysis of the flows of diamonds through the diamond pipeline.


WWW's forecasting model, allows for the comparison of Demand, Supply and Stock Changes to produce forecasts of prices for each of the five rough and polished categories we follow.

The price forecasts give a Central forecast for diamond prices for the next five years, plus the effects of different scenarios can be analysed on demand.


Bi-annually, or more frequently, should the situation arise, WWW produce reports which bring together the conclusions to be drawn from the database.

Recent trends, cultural, economic and political are analysed and the consequences for the diamond industry discussed.

Likely future trends are analysed, and areas for growth potential are identified.

Risks to future profitability are highlighted and the extent of downside risks quantified.

Countries Covered

  • Algeria
  • Argentina
  • Australia
  • Austria
  • Bangladesh
  • Belgium
  • Bolivia
  • Brazil
  • Bulgaria
  • Cameroon
  • Canada
  • Chile
  • China
  • Colombia
  • Costa Rica
  • Czech Republic
  • Denmark
  • Ecuador
  • Egypt
  • Finland
  • France
  • Germany
  • Greece
  • Hong Kong
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Iran
  • Iraq
  • Ireland
  • Israel
  • Italy
  • Japan
  • Kazakhstan
  • Kenya
  • Malaysia
  • Mexico
  • Morocco
  • Myanmar
  • Netherlands
  • New Zealand
  • Nigeria
  • Norway
  • Pakistan
  • Panama
  • Paraguay
  • Peru
  • Philippines
  • Poland
  • Portugal
  • Romania
  • Russia
  • Saudi Arabia
  • Singapore
  • Slovakia
  • South Africa
  • South Korea
  • Spain
  • Sudan
  • Sweden
  • Switzerland
  • Syria
  • Taiwan
  • Thailand
  • Tunisia
  • Turkey
  • Uganda
  • Ukraine
  • United Kingdom
  • United States of America
  • Uruguay
  • Venezuela
  • Vietnam

For more information about the database please email Richard Platt at