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The development of the QuERI Integrated Global Databases and Models has evolved over the past nearly forty years. It began with research at DRI/McGraw-Hill for more appropriate economic drivers for the World Sea Trade Service models of global trade flows for specific traded commodities. Early efforts in understanding global patterns of industrial and trade development were hampered by poor data quality from international organizations and nearly constant changes in classifications of industries. One factor became clear, there was a need for this type of data by companies and academic researchers often forced to use out dated and in complete data sources or mere guesses to create appropriate models and estimates of likely sales.

Over these many years the databases and models have migrated through joint relationships with several data service providers beginning with the creation with WEFA of the World Industry Service (later merged with earlier DRI models into Global Insight’s product offering) and available on the Oxford Economic Forecasting system until OEF developed their own competing offering. It was installed for a while at the World Bank and has been used for consulting assignments with major management consulting firms including the Economist Intelligence Unit, McKinsey and AT Kearney.

QuERI’s Integrated Global Model and Database is significantly different from more traditional macroeconomic models for individual countries that depend primarily on country data alone and time series models. QuERI models are built on a bottoms-up analysis of the integrated factors driving industrial and service sector development using a set of 72 core country input-output models and a global trade matrix to provide the necessary relationships that are critical to understanding the emerging trends in the global economy. Macroeconomic drivers are fully integrated with industry, trade and employment creating a holistic model of the short, medium, and long term prospects for the world economy, individual sectors and countries.

The ISIC3 database covering 72 countries and 7 world regions has over 400,000 individual series and is to be sold as the standard set of QuERI data for general distribution. Limiting to ISIC3 categories for which there is a generally agreed set of available UNIDO, UNSNA, and ILO data available as a starting point keeps the system manageable and tied to regularly updated (with errors, omissions, and missing data) from International organizations.

The larger, more detailed, NAICS6 data set significantly increases the size covering over 400 individual commodities/industries. The data set is over 1.1 million series and will be available only by special request and for an additional fee. The QuERI models, associated work files and databases are available as well allowing organizations with the necessary economic skills to use, modify, and extend the global model to meet local requirements under terms of a license agreement.

Dr. David L Blond, President, QuERI-International, [email protected] www.queriinternational.com

QUERI-iNTERNATIONAL dATA sET

mailto:[email protected]%20www.queriinternational.com

What you need to know about the QuERI Base Databases to make an informed decision.

QuERI databases are a comprehensive global dataset combining available international data collected by UN, World Bank, IMF, and national sources, with estimates based on cross-country models for missing data points filling missing data for many countries by extending historical data farther back into the past using current nomenclature for classification or through to the current data. Any researcher working with publically available government sources recognizes the inadequacy of these sources as a useful set of data on which to base forecasts alone. Combining QuERI model derived estimates where necessary with actual data creates a consistent global framework for analysis of economic trends in industrial, trade, and employment across a sample of 72 countries comprising close to 95% of world output.

The complete ISIC3 level data now available for organizations who can make the most use of this complete picture of the global economy from the 1990’s through 2030. This consistent, global unified data source has been in development continuously from around 1975 through today, beginning with research conducted at UNCTAD in the 1970’s, the Department of Defense in the 1980’s, latter at DRI/McGraw-Hill in the 1980’s and 1990’s, and after leaving DRI in mid-1990 in its rebuilt and expanded form at ICF Kaiser Consulting, the Columbus Group, and finally as a new global data base GlobalMetrix at Merge Global. In 2002, QuERI-International was formed to further develop the data sets and expand their usefulness as a primary source of consistent, filled in data from UNSNA, UNIDO, ILO, and national source data bases.

Over the years of development the data was used in conjunction with joint ventures first with WEFA (later Global Insight) as the World Industry Service, with Oxford Economic Forecasting as part of their industrial information system, and for several years offered by HSCB Bank for their customers. It has been installed at the World Bank and used by major consulting firms including McKinsey, AT Kearney, and industrial customers from VISA to CISCO for purposes of identifying market opportunities. During its early development at DRI, later at WEFA, MergeGlobal, and QuERI it was used to develop models of trade, air freight flows, and used by many key computer software and hardware companies from IBM, Microsoft, HP, and Intel.

Today it is one of the only larger scale data source with consistent estimates of industrial output, international trade, market demand split across major components from interindustry sales through government consumption, commodity prices, and employment, as well as independently developed forecasts for key macroeconomic components – personal consumption expenditures (16 groups), business investment (63 industries), and government expenditures (10 categories), along with GDP forecasts developed using both supply and demand size drivers.

What Makes QuERI Forecasts Unique

The global economy has grown dramatically in the last forty years to a point where more and more countries are reaching a level of maturity that requires companies with interests around the world to see markets less in terms of only advanced countries and more as part of a global system. The cost of this progress has been high for some countries, the United States has lost thousands of high paying manufacturing jobs, but gained low cost consumption and transformed the drivers of the American economy from goods to more services. Research into what drives global economic progress began at UNCTAD in the middle 1970’s starting with research into changing trade propensities and relative share of output and value-added (GDP) allocated by advanced and emerging countries between purchase of goods and services. As economies evolve, moving from primary producers to manufacturers to service dominated advanced economies, the relationship between industries and the world changed. To capture these shifts, QuERI models integrated international patterns of trade at a commodity and




industry level of detail with input-output models for linking the changing industrial growth pattern with the demand for intermediates. The result is perhaps, or at least one of the most, carefully constructed models for the global economy integrating at the global and the national level using actual historical data for developing equations and models.1

Populism is on the rise in the world in part due to the success of globalization in reducing the natural links of geography and custom, but at a cost in terms of personal relationships and trust in private business. Improvements in communications and information costs (with English as a common business language), along with the Internet creating a virtual web of relationships has created this global market. Improvement in the cost of freight from distant suppliers to markets has further eroded the natural benefits of geographical proximity. The cost of this transformation has been the loss of higher paying factory jobs in rich, industrialized nations, rising standards of living in emerging and poor countries. Today the benefits of globalization are being weighed against the long term costs and this has often led to the rise of populist political parties and leaders. To best represent this world of benefit and loss, models need to take into account economic effects coming from trade on domestic production, employment, and cost of living.

The QuERI models depend upon using the full information implicit in the historical data on countries from the richest to the poorest to develop generalized global models that when linked together produce a better, less trended baseline forecast for industrial development paths at a commodity and industry level and also for how trade changes the internal and external relationships. In the model for example the production function takes into account the negative impacts of increasing imports and the positive effects of export as well as internal dynamics within the domestic economy as captured by using input-output models to link industries sales within the country with sales internationally. .

Why Multi-country or Multi-Product Econometric Models Better Describe the World Economic Development

Time series models are the mainstay of many econometric models of economies as they allow developers to customize relationship possibly unique to the country, but like the overly exploited time-trend Arima models that many in industry use to describe future growth, they capture only the short-term patterns. In the case of many emerging and developing countries the available data for these models is either well out of date or two limited to be useful. For many of the more advanced countries, the opposite may be the case as the time series researcher maximizes the time series used which biases the estimates capturing more of the past trends than current conditions.

QuERI models maximize information buried in the relationships between countries at different stages of development creating a richer tapestry to explain growth and decline at the industry and commodity level of detail. Multi-country modeling techniques offers the best of both worlds – it can describe sometimes unique conditions for a few of the countries by identifying a specific factor and then measuring the impact of that factor on the growth of the dependent variable, i.e. we divide in some cases countries into advanced, emerging, and developing isolating 1 An academic mode, GEM (Global Economic Model), uses parameters drawn from other sources to build a global macroeconomic model. The Oxford World Model links macroeconomic models of individual economies together with a limited industrial subsector (QuERI data at one time was available through the Oxford System for their industrial clients). Project LINK, started by Professor Larry Klein at Wharton for the UN, was a massive attempt to link individually created macroeconomic models from around the world together into a single global insight model, again primarily concentrating on financial and broad based macro concepts. Leontief, in the 1970’s, attempted to develop a global world model linking IO models and finally settling on picking 10 country IO’s as models for other countries with some success before abandoning the system as too difficult to manage. As far as we know the QuERI model is the only one that starts at the industrial and service data and builds the macroeconomic estimates from the bottom up at the greatest level of detail (including the NAICS6 level of detail).




the relationship between the dependent with the independent variable. In other cases the estimates derive from full samples of 72 countries and time series data so that the estimates have often more than 1500 to 2000 observations. Even if the sample time period were reduced significantly, say to capture only the period after 2000, the observations in a typical model will capture current relationships. Time Series alone models for statistical stability require sometimes long time series thus capturing much of the earlier trends that may no longer apply.

Efficiency gains from pooled-cross-sectional-time-series estimation techniques are significant allowing a single researcher to develop and prove relationships rapidly and also develop multi-sector and multi-country models easily and quickly. The real advantage is that they maximize the information content from multiple series allowing for predictions of short-term trends (from the time series elements) and long-term structural changes.

Can QuERI Data Drive Sub-models or Test New Theories and Concepts

Academic research and real world problem solving often requires collection and cleaning of data before any new theories or models can be constructed and tested. The availability of cleaned, long-series, data across multiple countries and products can allow rapid development of new models, for example measuring the positive or negative impact of education on development of key industries or the estimated benefits of improvements in health or mortality on the long term growth path of developing economies. Commodity specific and market specific series for private companies when married with internal company sales data can create the kind of sales forecast and financial analysis models that are lacking as they rarely take into account the impact of trade, prices, employment and productivity trends, on company sales performance. For financial companies, multiple company revenue and profit historical data can be compared to industry performance and create economic oriented projections of future sales and profits and cross company comparisons of success or failure against a multi-company standard.

Some examples of side models include a more fully filled out energy sub-model from the UN International Energy Agency data sets, or a more complete environmental and carbon emissions model that takes into account toxic waste release, carbon emissions, and the availability of clean water. Work has already begun in developing more up-to date agricultural sector models combining USDA World Production and Consumption data with UN FAO data. A more complete agricultural model linking economic and price factors to arable land and weather could be developed to guide decision makers and the private sector users and suppliers. Models linking International Telecommunications Union data on telephone and internet connections with global economic data can make both datasets richer and more useful for forecasting future needs.

In each of these cases the single advantage is the availability of quickly marshaling consistent, multi-sector or country, data against which to test theories. The time savings and the ability to expand the knowledge base of economic researchers or build econometric models for company data is significant. So even if the purpose is not to develop independent economic forecasts, even the historical data and the QuERI developed forecast data can be of use. Combining with the pooled-cross-sectional-time-series modeling capability of many econometric software packages – from Eviews to other multi-sector modeling packages—makes the life of both private, public and academic researchers easier.

QuERI Data Covers only 72 countries, is there data for other countries that can be used to build out the system of country models?

Today, unlike in earlier periods, there are rich sources of international data that can be used to increase the number of countries covered and integrated into the core models. For many of the least developed countries much of this data is spotty and incomplete or outdated. The advantage of having available existing cross country data for a wide spectrum of national economies and the general availability of international trade data and broad based macro data can be used to fill in the missing elements. Cross country and product models can be constructed with




generalized constant terms related to country size or wealth or other characteristics and then used to make estimates of the likely detail. The result is that nearly all countries not now included in the system could at one time be added.

Structure of the QuERI Integrated Global Model and Layered Approach to Forecasting

A simplified approach is used to develop a new forecast rather than trying to lay more than 30,000 non-linear models including detailed IO models in a simultaneous solution model. This was tried and proved even for a simpler version of the model to be unworkable. A more useful approach is to solve modules beginning with blocs covering vectors of personal consumption, government consumption, investment and moving on to modules covering detailed ISIC3 production models, international trade models, with intermediate steps linking industry and final demand data with IO models to develop independent estimates of intermediate sales, consumption, investment, and government consumption for ISIC3 groups to be used to help drive production, trade, monetary and GDP modules. This layering allows for multiple passes and inclusion of new data and control variables from outside sources including macroeconomic models of other forecasters that are blended with QuERI internalized macro aggregates. The result is a dynamic model that while not fully simultaneous allows for changing patterns of trade and industry development with quasi-simultaneous properties as multiple pass through this sequence get relatively close to the traditional Gauss-Seidel solution as successive passes lead to smaller net changes in major variable.




Gross Domestic Product (GDP)o Gross Domestic Product (GDP) is calculated using several different equations allowing

analysts to understand the conflicting factors driving growth. Standard GDP Components(C+I+G+E-M) Estimated GDP based on components(equation coefficients reflect weights) Estimated GDP based on production components – output/employment,

employment. Estimated GDP based on value-added components from industry groups

(estimated labor income and industry profits). o Personal Consumption (PCON) by UN Consumption Category (16 broad categories of

expenditures based on UN Standardized National Accounts measured in Nominal and Real (1995 US $s) in Millions.

See List A: UN SNA Private Consumption Groupso Business & Residential Investment (INV) Expenditures by Industry Groups by ISIC2

groups consistent with detailed IO matrix splits based on investment shares from US IO tables multiplied by gross output by industry from country datasets, adjusted by UNIDO investment by industry estimates and consistent with capital investment from macroeconomic data sets (Nominal US $s and 1995 US $s).

See List C: ISIC 3 Industry and Service Sectors. o Government Consumption (PGOV) by UN Government Consumption Groups used in

appropriate government expenditure vectors in the QuERI IO models and split into consumption by industry. Total government expenditures are consistent with macroeconomic historical data on government consumption (Nominal and Real 1995 $s).

See List B: UN SNA Government Expenditure Codes.

International Trade Moduleo Import Demand equations at the ISIC3 level of detail based on monetary, price, and

market demand.o Total market demand from world used in Export Supply Equations.o Export Supply Equations include data on production share of world economy, monetary,

price, and world demand estimates from import estimates. Calculated export shares for individual countries are based on preliminary

export values and compared to total world imports of ISIC traded goods. Growth rates for exporters thus are based on a global competitive supply model

allowing individual countries to gain export shares while other lose shares.o See List C, Parts I and II for ISIC Industry Sectors




Detailed Industry & Commodity Datasets o Consistent estimates based on primarily UNSNA and UNIDO ISIC3(4 digit), ISIC3 (2 digit)

primary data for production, investment and employment using Comtrade HS6 to NAICS6 (US classification) for international trade data, and macroeconomic data from national source data.

o Adjusted country Input-Output Models (ISIC3 and NAICS detail rows by ISIC2 and UNSNA Column vectors) based on NAICS6 US 2002 and 2007 baseline IO models adjusted for country differences using row-scaling and column scaling techniques.

Gross Output based on UNIDO and UNSNA primary data. Market Demand (Apparent Consumption) based on Production less

Exports plus Imports o Consistent aggregates of sub-detail based on ISIC3 Industries

Intermediate Sales by Industry Personal Consumption Purchases by Industry Business Investment Expenditures by Industry Government Purchases by Industry

Domestic Market Demand= Intermediate Sales + Personal Consumption + Business Investment + Government Purchases = Production – Exports + Imports

Import Share Consumption = Imports / Domestic Market Demand Export Share of Production = Exports / Domestic Market Demand

Industrial and Service Industry Data by Type of Sales (Purchases) Classified by: Major Commodity Aggregates (23)

o ISIC2 Industry Groups (63) ISIC3 Industry Groups (168)

See List C for ISIC 3 Industry and Service Sectors.o Employment

Number of Employees by Industry based on UNSNA, UNIDO and ILO available data and QuERI Estimates based on comparative data.

Labor Force Estimates based on ILO and National Source Data Available consistent with industry categories Major Aggregates to NAICS6

Commodity Groups See List C for industries included.

o Productivity (Production/Employment) Major Commodity Aggregates (23)

ISIC2 Industry Groups (63)o ISIC3 Industry Groups (168)

o Wage, Price and Monetary Variables Production and Trade Models are sensitive to price changes. A complete set of

general and detailed commodity price indicators and general wage rate measures are included in the system. Wages, exchange rates, and general price




indicators are impacted by changes in the monetary base, short-term exchange rates and the global trade balance.

An integrated model for price formation is developed based on US Commodity Prices at the ISIC3 detail is developed for each ISIC3 commodity. A time series model links US commodity price indices with cost factors including a factor input price index (based on IO weights) and an import price index. Foreign commodity prices are based on the US price index adjusted for differences in general inflation rates.

See List C: ISIC3 Industry and Service sectors. Import Prices for individual countries and commodities are based on a weight

average of export price indices (Commodity Price/Exchange Rate Index). Weights are based on a fixed matrix export shares for each importer for the commodity group (2 digit ISIC Groups).

See List C, Parts I and II for ISIC3 Sectors. Price Variables:

Commodity Prices (ISIC 3) Import Prices (ISIC3) Export Prices (ISIC3) Factor Input Prices (Domestic, ISIC2)* Factor Input Prices (Foreign ISIC2)*

Monetary and General Price Variables Hourly Wages (Nominal US $s and Real 1995 $s) Exchange Rates Index (LC/US$) Weighted US Exchange Rates Index M2 Short-term Interest Rates Monetary Turnover (Velocity)




o Input-Output Models Country Adjusted IO Framework Models detailed ISIC2 & UNSNA Consumption

and Government Vector Columns by ISIC3 & Value-added Component Rows Row-scaled models based on US 2002 Detailed NAICS6 IO Model Row scaler adjustments based on ISIC3 Apparent Consumption Actuals (

Develops independent estimates of market demand based on IO factors consistent with actual apparent consumption – ISIC3 Production – Exports + Imports (trade goods) and ISIC3 Production (non-traded goods)

Market Demand split into:o Intermediate Demand (B to B trades)o Personal Consumption Demand (Final Demand) o Investment Product Demand (Final Demand)o Government Consumption Demand (Final Demand)

Estimates of Intermediate Demand and Final Demand used sequentially in ISIC3 Production Equations and International Trade Equations.




List A: Personal Consumption Expenditure Vectors (included in IO Model)

Personal Consumption Vectors Pccodes DescriptionFood E1a Primary and Processed Food ProductsNon-alcoholic beverages E1B Soft drinksAlcoholic beverages E1C Beers, Wines and LiquorsTobacco E1D Cigarettes, Cigars, and other Tobacco ProductsClothing and footwear E2 Clothing and footwear for personal useFuel and power E3A Gasoline, Diesel, Heating Oil, Electric Power+I56Housing expenses E3B Rents, Mortgage Expenditures Monthly, AnnuallyHousehold operations E4A Non-durable products for the home Furniture, furnishing, and equipment E4B Appliances, furniture, carpets, and other durables Medical care and health expenses E5 Private expenditures on drugs, doctor, hospitals, etc.Personal transport equipment E6A Auto purchases, loan payments, lease, etc.Other transport and communications E6B Public transport, telephones, internet servicesEducation E7A Private expenditures on educationEntertainment and Cultural E7B Cable, streaming, museums, and recreationPersonal Care E8A Non-medical expenditures on selfRestaurants, cafes, and hotels E8B Food Service, Hotels and TourismOther services E8C All Other Services




List B: Government Consumption Expenditures Vectors (included in IO Model)

Government Vectors Gcodes DescriptionGeneral public services g01 Administration of Government excluding police, fire, etc.Defence g02 National DefensePublic order and safety g03 Police, Fire and Emergency ServicesEconomic affairs g09 Activities related to economics and commerceEnvironment protection g10 Collection of data on environment, standardsHousing and community amenities g07 Public housing and recreational facilitiesHealth g05 Government provided or funded medicalEducation g04 Government provided or funded educationSocial protection g06 Government provided social insuranceRecreation, culture and religion g08 Government provided for funded cultural & religious

List C: ISIC Product Groups Concordance & Description

Part 1: Primary Product Groups

ISIC3 Code Isic 3 Description UNSNA ISIC2 Code ISIC2 Description BCODE Broad Category DescriptionC1111 Farming c1 c1 Agriculture, Hunting, Forestry, and Fishing AGR Primary AgricultureC1112 Fruits&Vegetables c1 c1 Agriculture, Hunting, Forestry, and Fishing AGR Primary AgricultureC1114 OtherAgriculture c1 c1 Agriculture, Hunting, Forestry, and Fishing AGR Primary AgricultureC1121 AnimalHusbandry c1 c1 Agriculture, Hunting, Forestry, and Fishing AGR Primary AgricultureC1133 AgriculturalMaterials c1 c1 Agriculture, Hunting, Forestry, and Fishing AGR Primary AgricultureC1150 AgriculturalSupportActivities c1 c1 Agriculture, Hunting, Forestry, and Fishing AGR Primary AgricultureC2110 Oil&Gas c2 c2 Mining and Quarrying MIN Primary ExtractiveC2122 MetalOreMining c2 c2 Mining and Quarrying MIN Primary ExtractiveC2123 Nonmetallic MineralsMining c2 c2 Mining and Quarrying MIN Primary ExtractiveC2131 MiningSupportActivities c2 c2 Mining and Quarrying MIN Primary ExtractivePRIMARY Primary Products PRIMARY PRIMARY Primary Products -- Agriculture & Extractive PRIMY Primary Products

PRIMARY PRODUCTS




List C: Part I: ISIC 3 Manufactures Industry GroupsISIC3 Code Isic 3 Description UNSNA ISIC2 Code ISIC2 Description BCODE Broad Category Descriptionc1511 Processing/preserving of meatC15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1512 Processing/preserving of fish C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1513 Processing/preserving of fruit & vegetablesC15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1514 Vegetable and animal oils and fatsC15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1520 Dairy products C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1531 Grain mill products C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1533 Prepared animal feeds C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1541 Bakery products C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1542 Sugar C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1543 Cocoa, chocolate and sugar confectioneryC15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1544 Macaroni, noodles & similar productsC15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1549 Other food products n.e.c. C15 c311 Processed Foods FOOD Processed Foods & Tobaccoc1551 Distilling, rectifying & blending of spiritsC15 c313 Beverages FOOD Processed Foods & Tobaccoc1552 Wines C15 c313 Beverages FOOD Processed Foods & Tobaccoc1553 Malt liquors and malt C15 c313 Beverages FOOD Processed Foods & Tobaccoc1554 Soft drinks; mineral waters C15 c313 Beverages FOOD Processed Foods & Tobaccoc1600 Tobacco products C16 c314 Tobacco FOOD Processed Foods & Tobaccoc1711 Textile fibre preparation; textile weavingC17 c321 Textiles INTFIB Intermediate Fibersc1712 Finishing of textiles C17 c321 Textiles INTFIB Intermediate Fibersc1721 Made-up textile articles, except apparelC17 c321 Textiles INTFIB Intermediate Fibersc1722 Carpets and rugs C17 c321 Textiles INTFIB Intermediate Fibersc1723 Cordage, rope, twine and nettingC17 c321 Textiles INTFIB Intermediate Fibersc1729 Other textiles n.e.c. C17 c321 Textiles INTFIB Intermediate Fibersc1730 Knitted and crocheted fabrics and articlesC17 c321 Textiles INTFIB Intermediate Fibersc1810 Wearing apparel, except fur apparelC18 c322 Wearing Apparel CONS Consumer Goodsc1820 Dressing & dyeing of fur; processing of fur, processing of furC18 c322 Leather and Products CONS Consumer Goodsc1911 Tanning and dressing of leatherC19 c323 Leather and Products CONS Consumer Goodsc1912 Luggage, handbags, etc.; saddlery & harnessC19 c323 Leather and Products CONS Consumer Goodsc1920 Footwear C19 c324 Footwear CONS Consumer Goodsc2010 Sawmilling and planing of woodC20 c331 Wood Products INTFIB Intermediate Fibersc2021 Veneer sheets, plywood, particle board, etc.C20 c331 Wood Products INTFIB Intermediate Fibersc2022 Engineered Wood & Millwork C20 c331 Wood Products INTFIB Intermediate Fibersc2023 Wood Containers C20 c331 Furniture and Fixtures CONS Consumer Goodsc2024 Fabricated Homes C20 c331 Furniture and Fixtures CONS Consumer Goodsc2029 Other wood products; articles of cork/strawC20 c331 Furniture and Fixtures CONS Consumer Goodsc2101 Pulp, paper and paperboard C21 c341 Paper and Products INTFIB Intermediate Fibersc2102 Corrugated paper and paperboardC21 c341 Paper and Products INTFIB Intermediate Fibersc2109 Other articles of paper and paperboardC21 c341 Paper and Products INTFIB Intermediate Fibersc2221 Printing C22 c342 Printing and Publishing CONS Consumer Goodsc2222 Service Related to Printing C22 c342 Printing Services CONS Consumer Goodsc2310 Coke oven products C23 c353 Processed Petroleum FUELS Fuelsc2320 Refined petroleum products C23 c353 Processed Petroleum FUELS Fuelsc2411 Basic chemicals, except fertilizersC24 c3511 Industrial Chemicals INTCHM Chemicalsc2412 Fertilizers and nitrogen compoundsC24 c3512 Fertilizers and Pesticides INTCHM Chemicalsc2413 Plastics in primary forms; synthetic rubberC24 c3513 Synthetic Resins INTCHM Chemicalsc2421 Pesticides and other agro-chemical productsC24 c3512 Fertilizers and Pesticides INTCHM Chemicalsc2422 Paints, varnishes, printing ink and masticsC24 c3521 Paints, varnishes, printing ink and mastics INTCHM Chemicalsc2423 Pharmaceuticals, medicinal chemicals, etc.C24 c3522 Pharmaceuticals, medicinal chemicals, etc. INTCHM Chemicalsc2424 Soap, cleaning & cosmetic preparationsC24 c3523 Soaps, cleaning & Cosmetics preparations INTCHM Chemicalsc2429 Other chemical products n.e.c.C24 c3529 Other chemical products n.e.c. INTCHM Chemicalsc2430 Man-made fibres C24 c3513 Synthetic Resins INTCHM Chemicalsc2511 Rubber tyres and tubes C25 c355 Rubber Products INTMAT Intermediate Materialsc2519 Other rubber products C25 c355 Rubber Products INTMAT Intermediate Materialsc2520 Plastic products C25 c356 Plastic Products INTMAT Intermediate Materialsc2610 Glass and glass products C26 c362 Glass and Products INTMAT Intermediate Materialsc2691 Pottery, china and earthenwareC26 c361 Ceramics INTMAT Intermediate Materialsc2692 Refractory ceramic products C26 c361 Ceramics INTMAT Intermediate Materialsc2693 Struct.non-refractory clay; ceramic productsC26 c361 Ceramics INTMAT Intermediate Materialsc2694 Cement, lime and plaster C26 c369 Cement & Concrete INTMAT Intermediate Materialsc2695 Articles of concrete, cement and plasterC26 c369 Cement & Concrete INTMAT Intermediate Materialsc2696 Cutting, shaping & finishing of stoneC26 c369 Cement & Concrete INTMAT Intermediate Materialsc2699 Other non-metallic mineral products n.e.c.C26 c369 Cement & Concrete INTMAT Intermediate Materials

MANUFACTURED PRODUCTS: Part I




List C: Part II Manufactured Products: Groups

ISIC3 Code Isic 3 Description UNSNA ISIC2 Code ISIC2 Description BCODE Broad Category Descriptionc2710 Basic iron and steel C27 c371 Iron and Steel MAT Materialsc2720 Basic precious and non-ferrous metalsC27 c372 Nonferrous Metals MAT Materialsc2731 Casting of iron and steel C27 c371 Iron and Steel MAT Materialsc2732 Casting of non-ferrous metals C27 c372 Nonferrous Metals MAT Materialsc2811 Structural metal products C28 c381 Metal Manufactures MAT Materialsc2812 Tanks, reservoirs and containers of metalC28 c381 Metal Manufactures MAT Materialsc2813 Power boiler and heat exchanger manufacturingC28 c381 Metal Manufactures MAT Materialsc2891 Metal forging/pressing/stamping/roll-formingC28 c381 Metal Manufactures MAT Materialsc2892 Treatment & coating of metalsC28 c372 Metal Manufactures MAT Materialsc2893 Cutlery, hand tools and general hardwareC28 c381 Metal Manufactures MAT Materialsc2899 Other fabricated metal products n.e.c.C28 c381 Metal Manufactures MAT Materialsc2911 Engines & turbines(not for transport equip.)C29 c3821 Engines & Turbines CAP Capital Equipmentc2912 Pumps, compressors, taps and valvesC29 c3829 Machinery and Equipment, nec. CAP Capital Equipmentc2913 Bearings, gears, gearing & driving elementsC29 c3829 Machinery and Equipment, nec. CAP Capital Equipmentc2914 Ovens, furnaces and furnace burnersC29 c3824 Special Industrial Machinery CAP Capital Equipmentc2915 Lifting and handling equipmentC29 c3829 Machinery and Equipment, nec. CAP Capital Equipmentc2919 Other General Purpose MachineryC29 c3824 Special Industrial Machinery CAP Capital Equipmentc2921 Agricultural and forestry machineryC29 c3822 Agricultural Machinery CAP Capital Equipmentc2922 Machine tools C29 c3823 Metal Cutting & Forming Machines CAP Capital Equipmentc2923 Machinery for metallurgy C29 c3823 Metal Cutting & Forming Machines CAP Capital Equipmentc2924 Machinery for mining & constructionC29 c3824 Special Industrial Machinery CAP Capital Equipmentc2925 Food/beverage/tobacco processing machineryC29 c3824 Special Industrial Machinery CAP Capital Equipmentc2926 Machinery for textile, apparel and leatherC29 c3824 Special Industrial Machinery CAP Capital Equipmentc2929 Other Special Purpose MachineryC29 c3824 Special Industrial Machinery CAP Capital Equipmentc2930 Household Appliances C29 c3833 Household Appliances CONS Consumer Goodsc3000 Office, accounting and computing machineryC30 c3825 Computers & Offie Machinery HTECH High Technologyc3110 Electric motors, generators and transformersC31 c3831 Electrical Industrial Machinery CAPITAL Capital Equipmentc3120 Electricity distribution & control apparatusC31 c3831 Electrical Industrial Machinery CAPITAL Capital Equipmentc3130 Insulated wire and cable C31 c3839 Electrical Apparatus, nec. CAPITAL Capital Equipmentc3140 Accumulators, primary cells and batteriesC31 c3832 Radio & TV Communications Equipment HTECH High Technologyc3150 Lighting equipment and electric lampsC31 c3833 Electrical Appliances and Houseware CONS Consumer Goodsc3190 Other electrical equipment n.e.c.C31 c3832 Radio & TV Communications Equipment HTECH High Technologyc3210 Electronic valves, tubes, etc. C32 c3832 Radio & TV Communications Equipment HTECH High Technologyc3220 TV/radio transmitters; line comm. apparatusC32 c3832 Radio & TV Communications Equipment HTECH High Technologyc3230 TV and radio receivers and associated goodsC32 c3832 Radio & TV Communications Equipment HTECH High Technologyc3311 Medical, surgical and orthopaedic equipmentC33 c3851 Professional Equipment HTECH High Technologyc3312 Measuring/testing/navigating appliances,etc.C33 c3851 Professional Equipment HTECH High Technologyc3313 Industrial process control equipmentC33 c3851 Professional Equipment HTECH High Technologyc3320 Optical instruments & photographic equipmentC33 c3852 Photographic and Optical Goods HTECH High Technologyc3330 Watches and Clocks C33 c3853 Watches and Clocks HTECH High Technologyc3410 Motor vehicles c34c35 c3843 Motor Vehicles & Parts TEQUIP Transport Equipmentc3420 Automobile bodies, trailers & semi-trailersc34c35 c3843 Motor Vehicles & Parts TEQUIP Transport Equipmentc3430 Parts/accessories for automobilesc34c35 c3843 Motor Vehicles & Parts TEQUIP Transport Equipmentc3511 Building and repairing of shipsc34c35 c3841 Shipbuilding and Repairing TEQUIP Transport Equipmentc3512 Building/repairing of pleasure/sport. boatsc34c35 c3841 Shipbuilding and Repairing TEQUIP Transport Equipmentc3520 Railway/tramway locomotives & rolling stockc34c35 c3842 Railroad Equipment TEQUIP Transport Equipmentc3530 Aircraft and spacecraft c34c35 c3845 Aircraft Equipment & Parts TEQUIP Transport Equipmentc3591 Motorcycles c34c35 c3844 Motorcycles & Bicycles TEQUIP Transport Equipmentc3599 Other transport equipment n.e.c.c34c35 c3849 Other Transport Equipment TEQUIP Transport Equipmentc3610 Furniture C36 c332 Furniture and Fixtures CONS Consumer Goodsc3691 Jewellery and related articles C36 c390 Miscellaneous Manufactures CONS Consumer Goodsc3692 Musical instruments C36 c390 Miscellaneous Manufactures CONS Consumer Goodsc3693 Sports goods C36 c390 Miscellaneous Manufactures CONS Consumer Goodsc3694 Games and toys C36 c390 Miscellaneous Manufactures CONS Consumer Goodsc3699 Other manufacturing n.e.c. C36 c390 Miscellaneous Manufactures CONS Consumer GoodsMFG Manufactured Products MFG MFG Total Manufactures MFG ManufacturesTOTGD Primary+Manufactures TOTGD TOTGD Total Traded Goods (Domestic+International) TOTGD Traded Goods

MANUFACTURED PRODUCTS: Part II




List C: ISIC3 Service Sectors

ISIC3 Code Isic 3 Description UNSNA ISIC2 Code ISIC2 Description BCODE Broad Category DescriptionC2211 Electric Power C4 c4 Utilities UTIL UtilitiesC2212 GasDistribution C4 c4 Utilities UTIL UtilitiesC2213 Water&Sewage C4 c4 Utilities UTIL UtilitiesC2301 Nonresidential commercial and health care structuresC5 c5 Construction CONST ConstructionC2302 Residential permanent site single- and multi-family structuresC5 c5 Construction CONST ConstructionC2303 Nonresidential maintenance and repairC5 c5 Construction CONST Constructionc6a_r Retail trade C6a c6a_r Retail Trade TRADE Tradec6a_w Wholesale trade c7 c6a_w Wholesale trade TRADE Tradec6b_hot Hotels c7 c6b Restaurants & Hotels CONS Consumer Goodsc6b_res Restaurants c7 c6b Restaurants & Hotels CONS Consumer Goodsc7a1 Air transportation c7 c7a Transportation Services TRANS Transportation Servicesc7a10 Warehousing and storage c7 c7a Transportation Services TRANS Transportation Servicesc7a2 Rail transportation c7 c7a Transportation Services TRANS Transportation Servicesc7a3 Water transportation c7 c7a Transportation Services TRANS Transportation Servicesc7a4 Truck transportation c7 c7a Transportation Services TRANS Transportation Servicesc7a5 Transit and ground passenger transportationc7 c7a Transportation Services TRANS Transportation Servicesc7a6 Pipeline transportation c7 c7a Transportation Services TRANS Transportation Servicesc7a7 Scenic and sightseeing transportation and support activities for transportationc6a c7a Transportation Services TRANS Transportation Servicesc7a8 Postal service c7 c7a Transportation Services TRANS Transportation Servicesc7a9 Couriers and messengers c7 c7a Transportation Services TRANS Transportation Servicesc7b1 Publishing of newspapers, journals, etc.c7 c7b Communictions & Information Services INFOR Information Servicesc7b2 Communication c8ab c7b Communictions & Information Services INFOR Information Servicesc7b3 Data processing & other information servicesc8ab c7b Communictions & Information Services INFOR Information Servicesc8a_b Banking c8ab c8a Financial Services FINAN Financial Servicesc8a_in Investment Firms c8c c8a Financial Services FINAN Financial Servicesc8b_ins Insurance c8c c8b Financial Services FINAN Financial Servicesc8c1_ren Rental and leasing c8c c8c1 Real Estate FINAN Financial Servicesc8c1_rest Real Estate c8c c8c1 Real Estate FINAN Financial Servicesc8c2_adv Advertising c8c c8c2 Business Services OSERV Other Servicesc8c2_bser Business Services c8c c8c2 Business Services OSERV Other Servicesc8c2_de Architectural,engineering,designc8c c8c2 Business Services OSERV Other Servicesc8c2_la Legal & Accounting c8c c8c2 Business Services OSERV Other Servicesc8c2_man Management & scientific c9b1 c8c2 Business Services OSERV Other ServicesC9b1_educ Education c9b2 c9b1 Education OSERV Other Servicesc9b2_hea Medical c9cd c9b2 Medical OSERV Other Servicesc9c_rec Recreational Services c9cd c9c Recreational Services OSERV Other Servicesc9d_pser Personal Services c6b c9d Personal Services OSERV Other Servicesc9d_rep Repair Services c6b c9d Repair Services OSERV Other ServicesSERVICES Service Industries SERV SERV Service Sector Industries SERV ServicesTOTAL PRIM+MFG+SERVICES TOTAL TOTAL Economy-wide Total TOTAL Total Goods & ServicesQuerI International, May, 2019

SERVICE SECTORS

*Factor input prices are for the US currently, but can be available for all 72 countries.




List D: Countries and Regions

Country Name Country Name Country Name Country NameArgentina Germany Netherlands SwitzerlandAustralia Greece New Zealand TaiwanAustria Honduras Nigeria ThailandBangladesh Hong Kong, China Norway TunisiaBelgium Hungary Pakistan TurkeyBolivia India Panama UkraineBrazil Indonesia Peru United Arab EmiratesBulgaria Iran, Islamic Rep. Philippines United KingdomCameroon Ireland Poland United StatesCanada Israel Portugal UruguayChile Italy Romania Venezuela, RBChina J amaica Russian Federation VietnamColombia J apan Saudi Arabia WorldCosta Rica J ordan Senegal North AmericaCzech Republic Kenya Singapore South AmericaDenmark Korea, Rep. Slovakia EuropeEcuador Kuwait South Africa AsiaEgypt, Arab Rep. Malaysia Spain MideastFinland Mexico Sri Lanka AfricaFrance Morocco Sweden




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