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The 2011 Economic and Product Market Databook for Frederiksted, The U.S. Virgin Islands

Description:
This study covers the outlook for products and services in Frederiksted. Estimates reported are given for the latent demand, or potential industry earnings (P.I.E.), for Frederiksted across hundreds of categories (in millions of U.S. dollars) and of the region and of the globe. These comparative benchmarks allow the reader to quickly gauge a Frederiksted vis-à-vis the world. Using econometric models which project fundamental economic dynamics, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. This study does not report actual sales data, but give, however, my estimates for the latent demand, or the P.I.E. for a variety of categories. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business. What is Latent Demand and the P.I.E.? The concept of latent demand is rather subtle. The term latent typically refers to something that is dormant, not observable, or not yet realized. Demand is the notion of an economic quantity that a target population or market requires under different assumptions of price, quality, and distribution, among other factors. Latent demand, therefore, is commonly defined by economists as the industry earnings of a market when that market becomes accessible and attractive to serve by competing firms. It is a measure, therefore, of potential industry earnings (P.I.E.) or total revenues (not profit) if a market is served in an efficient manner. It is typically expressed as the total revenues potentially extracted by firms. The “market” is defined at a given level in the value chain. There can be latent demand at the retail level, at the wholesale level, the manufacturing level, and the raw materials level (the P.I.E. of higher levels of the value chain being always smaller than the P.I.E. of levels at lower levels of the same value chain, assuming all levels maintain minimum profitability). The latent demand is not actual or historic sales. Nor is latent demand future sales. In fact, latent demand can be lower either lower or higher than actual sales if a market is inefficient (i.e., not representative of relatively competitive levels). Inefficiencies arise from a number of factors, including the lack of international openness, cultural barriers to consumption, regulations, and cartel-like behavior on the part of firms. In general, however, latent demand is typically larger than actual sales in a country market. It should be noted that the estimates are “culture blind” and “climate blind”, meaning that sales may in fact be lower than the latent demand due to cultural or exogenous factors, such as religion or climate (e.g. the presence of certain religions can effect the actual sales of certain food and beverage products, in the same way that climatic conditions can affect the actual sales of clothing and/or heating products). The estimates of latent demand do not explicitly control for either these long-run exogenous factors or shot-run exogenous factors that may be present from year to year (e.g. the effects of war, SARS, terrorist activities, civil wars, natural disasters, elections, or similar events). Another reason why sales do not equate to latent demand is exchange rates. In this report, all figures assume the long-run efficiency of currency markets. Figures, therefore, equate values based on purchasing power parities across countries. Short-run distortions in the value of the dollar, therefore, do not figure into the estimates. Purchasing power parity estimates of country income were collected from official sources, and extrapolated using standard econometric models. The report uses the dollar as the currency of comparison, but not as a measure of transaction volume. The units used in this report are: uuuu. For reasons discussed later, this report does not consider the notion of “unit quantities”, only total latent revenues (i.e., a calculation of price times quantity is never made, though one is implied). The units used in this report are U.S. dollars not adjusted for inflation (i.e., the figures incorporate inflationary trends) and not adjusted for future dynamics in exchange rates (i.e., the figures reflect average exchange rates over recent history). If inflation rates or exchange rates vary in a substantial way compared to recent experience, actually sales can also exceed latent demand (when expressed in U.S. dollars, not adjusted for inflation). On the other hand, latent demand can be typically higher than actual sales as there are often distribution inefficiencies that reduce actual sales below the level of latent demand. As mentioned in the introduction, this study is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. If fact, all the current products or services on the market can cease to exist in their present form (i.e., at a brand-, R&D specification, or corporate-image level) and all the players can be replaced by other firms (i.e., via exits, entries, mergers, bankruptcies, etc.), and there will still be a latent demand at the aggregate level. Product and service offering details, and the actual identity of the players involved, while important for certain issues, are relatively unimportant for estimates of latent demand. The Methodology In order to estimate the latent demand for products and services in Frederiksted, I used a multi-stage approach. Before applying the approach, one needs a basic theory from which such estimates are created. In this case, I heavily rely on the use of certain basic economic assumptions. In particular, there is an assumption governing the shape and type of aggregate latent demand functions. Latent demand functions relate the income of a country, city, state, household, or individual to realized consumption. Latent demand (often realized as consumption when an industry is efficient), at any level of the value chain, takes place if an equilibrium in realized. For firms to serve a market, they must perceive a latent demand and be able to serve that demand at a minimal return. The single most important variable determining consumption, assuming latent demand exists, is income (or other financial resources at higher levels of the value chain). Other factors that can pivot or shape demand curves include external or exogenous shocks (i.e., business cycles), and or changes in utility for the product in question. Ignoring, for the moment, exogenous shocks and variations in utility across countries, the aggregate relation between income and consumption has been a central theme in economics. The figure below concisely summarizes one aspect of problem. In the 1930s, John Meynard Keynes conjectured that as incomes rise, the average propensity to consume would fall. The average propensity to consume is the level of consumption divided by the level of income, or the slope of the line from the origin to the consumption function. He estimated this relationship empirically and found it to be true in the short-run (mostly based on cross-sectional data). The higher the income, the lower the average propensity to consume. This type of consumption function is labeled "A" in the figure below (note the rather flat slope of the curve). In the 1940s, another macroeconomist, Simon Kuznets, estimated long-run consumption functions which indicated that the marginal propensity to consume was rather constant (using time series data across countries). This type of consumption function is show as "B" in the figure below (note the higher slope and zero-zero intercept). The average propensity to consume is constant. Is it declining or is it constant? A number of other economists, notably Franco Modigliani and Milton Friedman, in the 1950s (and Irving Fisher earlier), explained why the two functions were different using various assumptions on intertemporal budget constraints, savings, and wealth. The shorter the time horizon, the more consumption can depend on wealth (earned in previous years) and business cycles. In the long-run, however, the propensity to consume is more constant. Similarly, in the long run, households, industries or countries with no income eventually have no consumption (wealth is depleted). While the debate surrounding beliefs about how income and consumption are related and interesting, in this study a very particular school of thought is adopted. In particular, we are considering the latent demand across some 230 countries. The smallest have fewer than 10,000 inhabitants. I assume that all of these counties fall along a "long-run" aggregate consumption function. This long-run function applies despite some of these countries having wealth, current income dominates the latent demand for products and services. So, latent demand in the long-run has a zero intercept. However, I allow firms to have different propensities to consume (including being on consumption functions with differing slopes, which can account for differences in industrial organization, and end-user preferences). Given this overriding philosophy, I will now describe the methodology used to create the latent demand estimates for this study. Since ICON Group has asked me to apply this methodology to a large number of categories, the rather academic discussion below is general and can be applied to a wide variety of categories and cities. Step 1. Product Definition and Data Collection Any study of latent demand across countries requires that some standard be established to define “efficiently served”. Having implemented various alternatives and matched these with market outcomes, I have found that the optimal approach is to assume that certain key countries are more likely to be at or near efficiency than others. These countries and cities are given greater weight than others in the estimation of latent demand compared to others for which no known data are available. Of the many alternatives, I have found the assumption that the world’s highest aggregate income and highest income-per-capita markets reflect the best standards for “efficiency”. High aggregate income alone is not sufficient (i.e., China has high aggregate income, but low income per capita and can not assumed to be efficient). Aggregate income can be operationalized in a number of ways, including gross domestic product (for industrial categories), or total disposable income (for household categories; population times average income per capita, or number of households times average household income per capita). Brunei, Nauru, Kuwait, and Lichtenstein are examples of countries with high income per capita, but not assumed to be efficient, given low aggregate level of income (or gross domestic product); these countries have, however, high incomes per capita but may not benefit from the efficiencies derived from economies of scale associated with large economies. Only countries with high income per capita and large aggregate income are assumed efficient. This greatly restricts the pool of countries and cities to those in the OECD (Organization for Economic Cooperation and Development), like the United States, or the United Kingdom (which were earlier than other large OECD economies to liberalize their markets). The selection of markets is further reduced by the fact that not all countries in the OECD report industry revenues at the category level. Countries that typically have ample data at the aggregate level that meet the efficiency criteria include the United States, the United Kingdom and in some cases France and Germany. Latent demand is therefore estimated using data collected for relatively efficient markets from independent data sources (e.g. Euromonitor, Mintel, Thomson Financial Services, the U.S. Industrial Outlook, the World Resources Institute, the Organization for Economic Cooperation and Development, various agencies from the United Nations, industry trade associations, the International Monetary Fund, and the World Bank). Depending on original data sources used, the definition of a category is established. In the case of this report, the data were reported at the aggregate level, with no further breakdown or definition. In other words, any potential product or service that might be incorporated within the category falls under the broadest definition of category. Public sources rarely report data at the disaggregated level in order to protect private information from individual firms that might dominate a specific product-market. These sources will therefore aggregate across components of a category and report only the aggregate to the public. While private data are certainly available, this report only relies on public data at the aggregate level without reliance on the summation of various category components. In other words, this report does not aggregate a number of components to arrive at the “whole”. Rather, it starts with the “whole”, and estimates the whole for all countries and the world at large (without needing to know the specific parts that went into the whole in the first place). All figures in this report are for sales resulting from retail channels. Step 2. Filtering and Smoothing Based on the aggregate view of products and services as defined above, data were then collected for as many similar countries as possible for that same definition, at the same level of the value chain. This generates a convenience sample of countries from which comparable figures are available. If the series in question do not reflect the same accounting period, then adjustments are made. In order to eliminate short-term effects of business cycles, the series are smoothed using an 2 year moving average weighting scheme (longer weighting schemes do not substantially change the results). If data are available for a country or a city, but these reflect short-run aberrations due to exogenous shocks (such as would be the case of beef sales in a country stricken with foot and mouth disease), these observations were dropped or "filtered" from the analysis. Step 3. Filling in Missing Values In some cases, data are available for countries or cities on a sporadic basis. In other cases, data may be available for only one year. From a Bayesian perspective, these observations should be given greatest weight in estimating missing years. Assuming that other factors are held constant, the missing years are extrapolated using changes and growth in aggregate national income. Based on the overriding philosophy of a long-run consumption function (defined earlier), countries which have missing data for any given year, are estimated based on historical dynamics of aggregate income. Step 4. Varying Parameter, Non-linear Estimation Given the data available from the first three steps, the latent demand is estimated using a “varying-parameter cross-sectionally pooled time series model”. Simply stated, the effect of income on latent demand is assumed to be constant unless there is empirical evidence to suggest that this effect varies (i.e., the slope of the income effect is not necessarily same for all cities). This assumption applies across cities along the aggregate consumption function, but also over time (i.e., not all cities are perceived to have the same income growth prospects over time and this effect can vary from city to city as well). Another way of looking at this is to say that latent demand for products and services is more likely to be similar across cities that have similar characteristics in terms of economic development (i.e., African cities will have similar latent demand structures controlling for the income variation across the pool of African cities). This approach is useful across cities for which some notion of non-linearity exists in the aggregate cross-city consumption function. For some categories, however, the reader must realize that the numbers will reflect a city’s contribution to global latent demand and may never be realized in the form of local sales. For certain category combinations this will result in what at first glance will be odd results. For example, the latent demand for the category “space vehicles” will exist for “Togo” even though they have no space program. The assumption is that if the economies in these countries did not exist, the world aggregate for these categories would be lower. The share attributed to these countries is based on a proportion of their income (however small) being used to consume the category in question (i.e., perhaps via resellers). Step 5. Fixed-Parameter Linear Estimation Nonlinearities are assumed in cases where filtered data exist along the aggregate consumption function. There will always be those cities, especially toward the bottom of the consumption function, where non-linear estimation is simply not possible. For these cities, equilibrium latent demand is assumed to be perfectly parametric and not a function of wealth (i.e., a city’s stock of income), but a function of current income (a city’s flow of income). In the long run, if a city has no current income, the latent demand is assumed to approach zero. The assumption is that wealth stocks fall rapidly to zero if flow income falls to zero (i.e., cities which earn low levels of income will not use their savings, in the long run, to purchase goods and services). In a graphical sense, for low income cities, latent demand approaches zero in a parametric linear fashion with a zero-zero intercept. In this stage of the estimation procedure, low-income cities are assumed to have a latent demand proportional to their income, based on the city closest to it on the aggregate consumption function. Step 6. Aggregation and Benchmarking Based on the models described above, latent demand figures are estimated for all countries and cities of the world, including for the smallest economies. These are then aggregated to get world totals and regional totals. To make the numbers more meaningful, regional and global demand averages are presented. Figures are rounded, so minor inconsistencies may exist across tables.
 
Contents:
1 INTRODUCTION & METHODOLOGY 1.1 Overview & Methodology 1.2 Market Potential Estimation Methodology 1.2.1 Overview 1.2.2 What is Latent Demand and the P.I.E.? 1.2.3 The Methodology 1.2.3.1 Step 1. Product Definition and Data Collection 1.2.3.2 Step 2. Filtering and Smoothing 1.2.3.3 Step 3. Filling in Missing Values 1.2.3.4 Step 4. Varying Parameter, Non-linear Estimation 1.2.3.5 Step 5. Fixed-Parameter Linear Estimation 1.2.3.6 Step 6. Aggregation and Benchmarking 2 SUMMARY RANKINGS 3 ½ TO 1-INCH NYLON PLASTIC BUSHINGS 4 TO 2 MEGAWATT ENGINES 5 TO 5 MEGAWATT ENGINES 6 MW GRID-CONNECTED PV SOLAR PHOTOVOLTAIC SYSTEMS 7 MW SOLAR PHOTOVOLTAIC CELL/MODULE EXPORTS 8 -MILLIGRAM CONTAINERS OF FROMAGE FRAIS 9 MW OFF-GRID SOLAR PHOTOVOLTAIC CONSUMER PRODUCTS 10 AC DRIVES 11 ADHESIVES AND SEALANTS 12 ADULT ENTERTAINMENT 13 ADVERTISING AGENCIES 14 AEROSPACE AND DEFENSE EQUIPMENT 15 AFTERMARKET PASSENGER CAR TIRES 16 AFTER-SUN MOISTURIZERS AND TAN-EXTENDER CREAMS 17 AGRICULTURAL CHEMICALS 18 AIR CONDITIONING AND REFRIGERATION EQUIPMENT 19 ALBUMS AND EPS 20 ALCOHOLIC COOLER BEVERAGES 21 ALES AND STOUTS 22 ALIMENTARY AND METABOLISM PHARMACEUTICALS 23 ALL MOUNTAIN SNOWBOARDS 24 ALUMINA REFINING 25 ALUMINUM DIE-CASTING FOUNDRIES 26 AMBIENT CANNED SPONGE PUDDING 27 AMMONIA-FREE SEMI-PERMANENT HAIR DYES 28 AMUSEMENT AND RECREATION SERVICES 29 ANALGESICS 30 ANALOG CAMCORDERS 31 ANTHRACITE MINING 32 ANTIDEPRESSANT PHARMACEUTICALS 33 ANTIFREEZE 34 ANTIPERSPIRANTS AND DEODORANTS 35 ANTI-REFLECTIVE GLASS 36 ANTISEPTIC FIRST AID CREAMS, SPRAYS, AND WIPES 37 APPAREL AND ACCESSORIES 38 APPETIZERS AND DIPS 39 APPLES 40 APPLICATIONS SOFTWARE 41 APPLICATION-SPECIFIC INTEGRATED CIRCUITS (ASICS) 42 APPLICATOR TAMPONS 43 ARCHITECTURAL SERVICES 44 ART DEALERS 45 ASIAN AND MIDDLE EASTERN BREADS 46 ATHLETIC FOOTWEAR 47 AUDIO COMPONENTS 48 AUTO AND HOME SUPPLY STORES 49 AVIATION SERVICES 50 BABY BOTTLES 51 BACON-FLAVORED POTATO CHIPS 52 BAGELS 53 BAGGED CHOCOLATE CANDY 54 BAKED GOODS 55 BAKERIES 56 BAKERY PRODUCTS 57 BAKING SODA TOOTHPASTE 58 BALLPOINT PENS 59 BANANAS 60 BAPS ROLLS 61 BAR SOAP 62 BASE CHEMICALS 63 BASMATI LONG GRAIN RICE 64 BATH ENHANCERS 65 BATTERY EGGS 66 BEAUTY AND BARBER SHOPS 67 BEEF-FLAVORED POTATO CHIPS 68 BEER 69 BELUGA CAVIAR 70 BEVERAGE MAKERS 71 BICYCLES AND BICYCLE ACCESSORIES 72 BIOTECHNOLOGY 73 BITUMINOUS COAL 74 BLACK TEA IN BAGS 75 BLANCMANGE AND PUDDING MIX 76 BLANK AUDIO CASSETTES 77 BLENDED WHISKEY 78 BOARD GAMES AND PUZZLES 79 BOAT BUILDING 80 BODY CARE PRODUCTS 81 BOILERS 82 BOOK PUBLISHING 83 BOTTLED WATER 84 BOTTLES OF LAGER BEER 85 BOUILLON CUBES 86 BOUTIQUE HOTELS 87 BOXED PEN AND PENCIL SETS 88 BOYS' SCHOOL UNIFORMS 89 BRAS AND ALLIED GARMENTS 90 BREAD 91 BREAKFAST CEREALS 92 BREATH FRESHENING SPRAYS 93 BREWERIES 94 BRIEFCASES 95 BROADBAND INTERNET ACCESS 96 BROADWOVEN FABRIC FINISHING MILLS 97 BROOM, BRUSH, AND MOP MANUFACTURING 98 BROWN AND WHOLEMEAL BREAD 99 BUBBLE GUM 100 BUDWEISER LAGER BEER 101 BUILDING INSPECTION SERVICES 102 BUILT-IN ELECTRIC OVENS 103 BULK DISPOSABLE DIAPERS 104 BUSES AND COACHES 105 BUSINESS SUPPORT SERVICES 106 BUTCHER SHOPS 107 BUTTER 108 CABLE AND DSL ROUTERS 109 CAD/CAM/CAE SOFTWARE 110 CAFES AND RESTAURANTS 111 CAJUN AND CARIBBEAN FOOD 112 CAKES AND PASTRIES 113 CALCIUM SUPPLEMENTS 114 CAMCORDERS 115 CAMERA AND PHOTOGRAPHIC SUPPLIES STORES 116 CAMPGROUNDS AND RECREATIONAL VEHICLE PARKS 117 CANAPÉ APPETIZERS 118 CANDLES 119 CANDY 120 CANNED BAKED BEANS 121 CANS OF LAGER BEER 122 CAR AUDIO SYSTEMS 123 CASHEWS 124 CASINOS AND GAMBLING 125 CAST IRON COOKWARE 126 CASUAL COMBINATION RESTAURANT/BARS 127 CAT FOOD 128 CD PLAYERS 129 CEILING LIGHT FIXTURES 130 CELLULAR TELEPHONES 131 CEMENT CONSTRUCTION MATERIALS 132 CEMETERIES AND CREMATORIES 133 CERAMIC HOUSEWARES 134 CHALKBOARDS 135 CHEESE MANUFACTURING 136 CHEMICALS 137 CHERRY-FLAVORED BOTTLED WATER 138 CHEWING GUM 139 CHICKEN PATTIES 140 CHILDREN'S AND INFANTS' CLOTHING STORES 141 CHILLED PASTA 142 CHINA AND PORCELAIN 143 CHINESE SIDE DISHES 144 CHIPS AND CRISPS 145 CHLORINE BLEACH CLEANING PRODUCTS 146 CHOCOLATE COOKIE CANDY BARS 147 CHUTNEY 148 CIGARETTE MANUFACTURING 149 CIGARS AND CIGARILLOS 150 CITRUS FRUIT 151 CIVIL AEROSPACE EQUIPMENT 152 CLASSIC HANDBAGS 153 CLAY BUILDING PRODUCTS 154 CLIMBING ROPES 155 CLOTHES DRYERS 156 CLOTHING ACCESSORIES 157 CMOS IMAGE SENSORS 158 COATED OR LAMINATED PAPER MANUFACTURING 159 COD LIVER OIL DIETARY SUPPLEMENTS 160 COFFEE AND TEA MANUFACTURING 161 COIN-OPERATED LAUNDRIES AND DRY CLEANERS 162 COLAS 163 COLLECTION AGENCIES 164 COLOR COSMETICS 165 COMBINATION VCR/DVD PLAYERS 166 COMMERCIAL BAKERIES 167 COMMUNICATIONS SERVICES 168 COMPACT FLUORESCENT LIGHT BULBS 169 COMPLETE DRY DOG FOOD 170 COMPOUND COOKING OILS AND FATS 171 COMPUTER STORAGE DEVICE MANUFACTURING 172 CONCENTRATED LIQUID FABRIC SOFTENERS 173 CONCRETE PIPE MANUFACTURING 174 CONSOLE VIDEO GAMES 175 CONSTRUCTION AND ENGINEERING SERVICES 176 CONSUMER BATTERIES 177 CONTACT LENSES 178 CONTINENTAL AND SPECIALTY PLANT BREAD 179 CONTINUOUS AIR FRESHENERS 180 CONTROL AND SUPPORT HOSIERY 181 CONVENIENCE STORES 182 CONVENTIONAL MINERAL OIL 183 COOKED CHICKEN PIECES 184 COOKIES AND CRACKERS 185 COOKING RANGES 186 COOLING FANS 187 COPPER ROLLING, DRAWING, AND EXTRUDING 188 CORDLESS COMPUTER MICE 189 CORPORATE STRATEGY SERVICES 190 COSMETICS AND TOILETRIES 191 COSTUME BRACELETS AND BANGLES 192 COTTON DIAPERS 193 COUGH AND COLD REMEDIES 194 CRACKERS 195 CRAFT BEER 196 CRAMI 197 CREAM CRACKERS 198 CREDIT BUREAUS 199 CRISPBREADS 200 CROISSANTS 201 CROSS/UTILITY VEHICLES (CUVS) 202 CRUDE PETROLEUM AND NATURAL GAS EXTRACTION 203 CRUDITÉS AND DIPS 204 CRUISE SHIP TOURISM 205 CRUMPETS AND PIKELETS 206 CRUSHED AND BROKEN STONE 207 CRUSHING OILSEEDS AND TREE NUTS EXCLUDING SOYBEANS 208 CRUSTY ROLLS 209 CUPCAKES 210 CURRENT-CARRYING WIRING DEVICE MANUFACTURING 211 CURTAIN AND DRAPERY MILLS 212 CUSTOM COMPOUNDING OF PURCHASED RESINS 213 CUT ORCHIDS 214 DAILY NEWSPAPERS 215 DAIRY CREAM 216 DARK BRANDY 217 DATA PROCESSING AND NETWORK SERVICES 218 DECAFFEINATED TEA 219 DECORATIVE NATURAL GAS SPACE HEATERS 220 DEFENSE INDUSTRY EQUIPMENT 221 DEHUMIDIFIERS AND HUMIDIFIERS 222 DEHYDRATED SOUP 223 DELI FOOD 224 DELUXE AND MALT WHISKEY 225 DENTAL FLOSS 226 DENTURE FIXATIVES AND CLEANSERS 227 DEPARTMENT STORES 228 DEPOSITORY CREDIT INTERMEDIATION 229 DESIGNER BATH AND SHOWER PRODUCTS 230 DESKTOP PERSONAL COMPUTERS 231 DETERGENT BARS 232 DIABETES MONITORING DEVICES 233 DIAL-UP INTERNET ACCESS 234 DIESEL TRUCKS 235 DIETARY SUPPLEMENTS 236 DIGESTION AIDS 237 DIGITAL CAMERAS 238 DIMENSION STONE 239 DINING OUT 240 DIPS 241 DIRECT SELLING ESTABLISHMENTS 242 DISCOUNT SUPERSTORES 243 DISCRETE SEMICONDUCTORS 244 DISHWASHER ADDITIVES 245 DISHWASHING PRODUCTS 246 DISPOSABLE CAMERAS 247 DISTILLATE FUEL OIL 248 DISTILLERIES 249 DOG FOOD 250 DOLLS AND FIGURES 251 DOMESTIC HEATING APPLIANCES 252 DRAFTING SERVICES 253 DRAM (DYNAMIC RANDOM ACCESS MEMORY) 254 DRAUGHT LAGER BEER 255 DRIED AND DEHYDRATED FOOD MANUFACTURING 256 DRINK CONCENTRATES 257 DRUG STORES AND PHARMACIES 258 DRY PASTA MANUFACTURING 259 DUCK AND GOOSE MEAT 260 DUFFLE BAGS 261 DURABLE GOODS 262 DVD PLAYERS 263 EASELS 264 EATING AND DRINKING PLACES 265 ECONOMY DISPOSABLE DIAPERS 266 EDIBLE OILS 267 EDUCATION AND TRAINING SERVICES 268 ELECTRIC BULK POWER TRANSMISSION AND CONTROL 269 ELECTRON TUBES 270 ELECTROSTATIC BROOMS 271 ELEMENTARY AND SECONDARY SCHOOLS 272 EMERGENCY CANDLES 273 ENERGY DRINKS 274 ENGINEERING SERVICES 275 ENGINES WITH LESS THAN 1 MEGAWATT OF POWER 276 ENGLISH MUFFINS 277 ENVELOPE MANUFACTURING 278 ENVIRONMENTAL CONSULTING SERVICES 279 ERMINE FUR COATS 280 ETHNIC APPETIZERS 281 EVENING HANDBAGS 282 EVERYDAY COOKIES 283 EXERCISE EQUIPMENT AND PERSONAL CARE APPLIANCES 284 EXPLOSIVES MANUFACTURING 285 EXTENDED STAY AND BUSINESS SUITE MOTELS 286 EXTERMINATING AND PEST CONTROL SERVICES 287 EXTERNAL SANITARY PROTECTION PRODUCTS ... 626 PLUMBING PRODUCTS 627 PLUSH TOYS 628 POLISHING SUPPLIES 629 POLLOCK 630 POLLUTION CONTROL EQUIPMENT AND SERVICES 631 POLYCARBONATE SPORTS BOTTLES 632 POLYMERASE CHAIN REACTION (PCR) MACHINES 633 POPCORN 634 PORE CLEANSING STRIPS 635 PORK PIES 636 PORT AND SHIPBUILDING EQUIPMENT 637 POTASH, SODA, AND BORATIC MINERALS MINING 638 POTATO CHIPS 639 POTTED POINSETTIA PLANTS 640 POULTRY PROCESSING 641 POWDER DETERGENTS 642 POWER TOOTHBRUSHES 643 PRAWN APPETIZERS AND DIPS 644 PRECIOUS METAL JEWELRY AND PERSONAL ARTICLES 645 PREFABRICATED METAL BUILDINGS 646 PREMIUM AND SUPER PREMIUM ICE CREAM 647 PREMIXED ALCOHOLIC BEVERAGES 648 PREPARED AND PROCESSED CHICKEN AND TURKEY POULTRY 649 PRE-RECORDED CASSETTES 650 PRERECORDED TAPE, COMPACT DISC, AND RECORD STORES 651 PRESCRIPTION EYEGLASS FRAMES 652 PRESENTATION MATERIALS 653 PRIMARY ALUMINUM PRODUCTION 654 PRINTED CIRCUIT BOARDS 655 PRINTERS 656 PRINTING SPECIAL BUSINESS FORMS AND CHECKBOOKS 657 PRIVATE RESIDENTIAL CONSTRUCTION 658 PROCESSED FISH AND CRAB 659 PROFESSIONAL ANALOG COMPASSES 660 PROGRAMMABLE LOGIC DEVICES 661 PROPELLING PENCILS 662 PROPERTY AND CASUALTY INSURANCE 663 PROTEOMIC PROTEIN CHIPS 664 PUBLIC RELATIONS AGENCIES 665 PUBLISHING ADVERTISING 666 PUBS, CLUBS, AND NIGHTCLUBS 667 PUFFS 668 PULMONARY DRUG DELIVERY SYSTEMS 669 PULP MILLS 670 PUMP DEODORANTS 671 PURSES 672 RADIANT NATURAL GAS SPACE HEATERS 673 RADIATORS AND PUMPS 674 RADIO AND TELEVISION BROADCASTING 675 RAILROAD EQUIPMENT 676 RANGE HOODS 677 READY MEALS 678 REAL ESTATE INVESTMENT TRUSTS 679 RECONSTITUTED WOOD PRODUCTS 680 RECORDED MUSIC 681 RECREATIONAL VEHICLE DEALERS 682 RED AND ROSÉ WINE 683 REFERENCE SOFTWARE 684 REFINING CANE SUGAR FROM RAW CANE SUGAR 685 REFLECTOR LIGHT BULBS 686 REFRIGERATION AND HEATING EQUIPMENT 687 REGIONAL NEWSPAPERS 688 RELAYS AND INDUSTRIAL CONTROLS 689 RELISH 690 REMEDIATION SERVICES 691 RENDERING ANIMAL FAT, BONES, AND MEAT SCRAPS 692 RENEWABLE ENERGY EQUIPMENT 693 RENTAL OF TRUCKS WEIGHING 3.51 TO 15 TONS 694 REPLACEMENT TIRES FOR CARS AND LIGHT VANS 695 RESIDENTIAL CONSTRUCTION 696 RESIDUAL FUEL OIL 697 RESTAURANTS 698 RETAIL BAKERIES 699 RETIREMENT SAVINGS PLANS 700 RETREADING OR REBUILDING TIRES 701 REUPHOLSTERY AND FURNITURE REPAIR 702 REUSABLE PLASTICS FOOD CONTAINERS 703 REWRITABLE COMPACT DISC MEDIA (CD-RWS) 704 RFID TAGS 705 RICE MILLING 706 RIDE-ON TOYS 707 RINGTONES 708 ROAD BIKES 709 ROLLERBALL PENS 710 ROLL-ON DEODORANTS 711 ROOMING AND BOARDING HOUSES 712 ROOT VEGETABLES 713 ROPE, CORDAGE, AND TWINE MILLS 714 ROYAL JELLY SUPPLEMENTS 715 RUBBER BRACELETS 716 SALAD ACCOMPANIMENTS 717 SALINE BREAST IMPLANTS 718 SALON HAIR CARE PRODUCTS 719 SALT AND VINEGAR POTATO CHIPS 720 SANDWICH CRACKERS 721 SANITARY PROTECTION PRODUCTS 722 SATELLITES 723 SAUCES, SALAD DRESSINGS, AND CONDIMENTS 724 SAUSAGE ROLL APPETIZERS 725 SAVORY SNACKS 726 SAW/BAW DUPLEXERS 727 SAWMILLS 728 SCANNERS 729 SCENTED CANDLES 730 SCHIFFLI MACHINE EMBROIDERY 731 SCHOOL FOOD SERVICE 732 SCONES 733 SCRAP RECYCLING 734 SCREW MACHINE PRODUCTS 735 SEAFOOD CANNING 736 SEASONAL COOKIES 737 SECONDARY SMELTING AND ALLOYING OF ALUMINUM 738 SECURITY SYSTEMS SERVICES 739 SELF-TANNING PRODUCTS 740 SEMICONDUCTOR AND RELATED DEVICE MANUFACTURING 741 SEMI-MOIST DOG FOOD 742 SEMI-PERMANENT HAIR COLORANTS 743 SENSORS 744 SERVICES 745 SET FRENCH YOGURTS 746 SEWAGE TREATMENT FACILITIES 747 SEWER FACILITIES 748 SEWING, NEEDLEWORK, AND PIECE GOODS STORES 749 SEX TOYS 750 SHAMPOO 751 SHAVING RAZORS AND BLADES 752 SHEER WINDOW FURNISHINGS 753 SHELLFISH 754 SHIP BUILDING AND REPAIRING 755 SHOE POLISH 756 SILICONE CONTACT LENSES 757 SILVER ORE MINING 758 SINGLE-SERVING DRY AMBIENT SNACKS 759 SKIN CARE PRODUCTS 760 SKOL LAGER BEER 761 SLAUGHTERING ANIMALS EXCLUDING POULTRY 762 SLEEPING BAGS 763 SLICED COOKED MEAT 764 SLOW-RELEASE HOUSEHOLD FRESHENERS 765 SMALL FIREARMS MANUFACTURING 766 SMART CARS 767 SMIRNOFF ICE READY-TO-DRINK ALCOHOLIC BEVERAGES 768 SMOKED SALMON 769 SMOKER'S TOOTHPASTE 770 SMOOTHIES 771 SNACK FRUIT PIES 772 SNOWBOARDING BOOTS FOR STEP-IN BINDINGS 773 SNOWMOBILES 774 SOCCER BALLS 775 SOCKS, STOCKINGS, AND TIGHTS 776 SOFT CHEESE 777 SOLAR VESTS 778 SOLID AND SEMI-SOLID COOKING FATS 779 SOUP 780 SOUR BEETROOT PICKLES 781 SOY MILK 782 SPACE HEATERS 783 SPARKLING MINERAL WATER 784 SPECIAL OCCASION WRITING INSTRUMENTS 785 SPICE AND EXTRACT MANUFACTURING 786 SPORTING GOODS RETAILERS 787 SPORTS AND ENERGY DRINKS 788 SPREADABLE OILS AND FATS 789 SPREADS AND MARGARINES 790 SQUASH BALLS 791 SRAM (STATIC RANDOM ACCESS MEMORY) 792 STACKING POTATO CHIPS 793 STANDARD AND BULK ICE CREAM 794 STAPLERS 795 STATIONARY BICYCLES 796 STEAM AND AIR CONDITIONING SUPPLY 797 STEEL WIRE DRAWING 798 STELLA ARTOIS LAGER BEER 799 STICK AND SOLID DEODORANTS 800 STILL BOTTLED WATER 801 STONE MINING AND QUARRYING 802 STORAGE BATTERY MANUFACTURING 803 SUGAR CANDY 804 SUN CARE PRODUCTS 805 SUPER PREMIUM TAKE-HOME ICE CREAM 806 SUPPORT ACTIVITIES FOR AIR TRANSPORTATION 807 SURFACE ACTIVE AGENT MANUFACTURING 808 SWEET PICKLES 809 SWITCHGEAR AND SWITCHBOARD APPARATUS 810 SYNTHETIC AND SEMI-SYNTHETIC OIL 811 TABLE LAMPS 812 TAKE-HOME COMPLETE ICE CREAM DESSERTS 813 TALCUM POWDER 814 TAMPONS WITHOUT APPLICATOR 815 TANNING BEDS 816 TAPIOCA TEA DRINKS 817 TARTAR CONTROL TOOTHPASTE 818 TAXICABS 819 TEA LIGHTS 820 TEEN ENTERTAINMENT MAGAZINES 821 TELECOMMUNICATIONS EQUIPMENT 822 TELEPHONE AND TELEGRAPH FACILITIES 823 TELEVISION BROADCASTING 824 TEMPORARY EMPLOYMENT SERVICES 825 TENNENT'S LAGER BEER 826 TEQUILA AND MESCAL SPIRITS 827 TESTING LABORATORIES 828 TEX-MEX FOODS 829 TEXTILE FABRICS 830 THAI FOODS 831 THIGH HIGHS HOSIERY 832 THREAD MILLS 833 TIRE CORD AND TIRE FABRIC MILLS 834 TISSUES 835 TITANIUM LACROSSE STICKS 836 TOBACCO STEMMING AND REDRYING 837 TOILET BLEACHING TABLETS 838 TONE-ON-TONE HAIR COLORANTS 839 TOOTHBRUSHES 840 TOOTHPASTE FOR SENSITIVE TEETH 841 TORTILLA MANUFACTURING 842 TOY STORES 843 TRADITIONAL CHUTNEY 844 TRAIL MIX 845 TRANSFORMERS 846 TRANSLATION AND INTERPRETATION SERVICES 847 TRANSPORTATION EQUIPMENT 848 TRAVEL TRAILER AND CAMPER MANUFACTURING 849 TREATS FOR DOGS 850 TRUCK TRAILER MANUFACTURING 851 TURKEY PIECES 852 ULTRA DISPOSABLE DIAPERS 853 UNDERWATER DIGITAL CAMERAS 854 UNDERWEAR, NIGHTWEAR, AND SWIMWEAR 855 UNDERWIRE BRAS 856 UNISEX FRAGRANCES 857 UNLEADED GASOLINE 858 UNSCENTED CANDLES 859 UPHOLSTERED HOUSEHOLD FURNITURE MANUFACTURING 860 URANIUM-RADIUM-VANADIUM ORES 861 USED CAR DEALERS 862 UTILITIES 863 VACUUM CLEANERS 864 VALVES AND PIPE FITTINGS 865 VEGETABLE AND SEED OILS 866 VEGETARIAN FOODS 867 VENETIAN BLINDS 868 VENTURE CAPITAL 869 VERTICAL BLINDS 870 VIDEO TAPE AND DISC RENTALS 871 VIENNA AND FRENCH BREAD 872 VITAMIN TONICS 873 VODKA 874 VOICE-RECOGNITION DICTATION SOFTWARE 875 VOIP TELEPHONE SERVICE 876 VOL-AU-VENT APPETIZERS 877 WAFFLES 878 WALLETS AND PURSES 879 WALL-MOUNTED LIGHT FIXTURES 880 WASHER-DRYERS 881 WASHING MACHINES 882 WATCHES 883 WATER SUPPLY AND IRRIGATION SYSTEMS 884 WCDMA/UMTS-BASED CELLULAR TELEPHONES 885 WEB SERVERS 886 WEDDING DRESSES 887 WEFT KNIT FABRIC MILLS 888 WEIGHT GAINER AND MUSCLE BUILDER SUPPLEMENTS 889 WELDING AND SOLDERING EQUIPMENT MANUFACTURING 890 WET MILLING OF CORN 891 WHISKEY 892 WHITE BREAD 893 WHOLE CHICKEN POULTRY 894 WI-FI CELLULAR TELEPHONES 895 WINDOW BLINDS 896 WINE 897 WINERIES 898 WINTER SPORTING GOODS 899 WIPES 900 WIRELESS COMMUNICATION SERVICES 901 WIRING DEVICES 902 WOMEN'S APPAREL AND ACCESSORIES 903 WOMENSWEAR AND LINGERIE 904 WOOD PRESERVATION 905 WOOL YARN 906 WORKERS' COMPENSATION INSURANCE 907 WRITING INSTRUMENT REFILLS 908 YARN SPINNING MILLS 909 YELLOW FATS 910 YOGA MATS 911 YOGURT WITH LIVE CULTURES 912 DEFINITION OF TERMS 913 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 913.1 Disclaimers & Safe Harbor 913.2 ICON Group International, Inc. 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