Executive Report on Strategies in Guyana
ICON Group International, June 2007, Pages: 385
How to Strategically Evaluate Guyana
Perhaps the most efficient way of evaluating Guyana is to consider key dimensions which themselves are composites of multiple factors. Composite portfolio approaches have long been used by strategic planners. The biggest challenge in this approach is to choose the appropriate factors that are the most relevant to international planning. The two measures of greatest relevance are “latent demand” and “market accessibility”. The figure below summarizes the key dimensions and recommendations of such an approach. Using these two composites, one can prioritize all countries of the world. Countries of high latent demand and high relative accessibility (e.g. easier entry for one firm compared to other firms) are given highest priority. The figure below shows two different scenarios. Accessibility is defined as a firm’s ease of entering or supplying from or to a market (the “supply side”), and latent demand is an indicator of the potential in serving from or to the market (the “demand side”).
Framework for Prioritizing Countries
Demand/Market Potential Driven Firm
Relative Accessibility
Accessibility/Supply Averse Firm
Relative Accessibility
In the top figure, the firm is driven by market potential, whereas the bottom figure represents a firm that is driven by costs or by an aversion to difficult markets. This report treats the reader as coming from a “generic firm” approaching the global market - neither a market-driven nor a cost-driven company. Planners must therefore augment this report with their own company-specific factors that might change the priorities.
Latent Demand in Guyana
This report provides an extremely detailed overview of factors driving latent demand in Guyana. Latent demand is largely driven by economic fundamentals. In Chapter 2, I summarize the economic potential for Guyana over the next five years for hundreds of industries, categories, and products. The goal of this chapter is to report my findings on the real economic potential, or latent demand, represented by Guyana when defined as an area of dominant influence. The data presented are the result of various spatial econometric and time-series forecasting models which, for each category presented, are applied to forecast and allocate latent demand across all countries of the world and major distribution centers or centers of dominant influence within each country. This is accomplished knowing that economic fundamentals (e.g. income) generally vary from one country to another within a given country over time. In this chapter, I report the allocation for each category for Guyana as an area of dominant influence in Latin America and, potentially, the world.
The report concludes with trade indicators for Guyana. Often, the amount of trade flowing into and out of a country is a strong indicator of trading partners, trade openness, and related latent demand. Trade indicators are purely statistical in nature. Although international trade is not a direct measure of latent demand, it does provide an indicator of general market conditions with respect to trade flows and trade openness in Guyana.
As a whole, this report presents a strategic assessment of Guyana by considering an extremely broad set of factors, as outlined in the following chapters.
ECONOMIC AND PRODUCT MARKETS IN GUYANA
Introduction & Methodology
Overview & Methodology
In performing various economic analyses for clients, I have occasionally been asked to investigate the market potential for various products and services in Guyana. The purpose of the studies is to understand the density of demand within Guyana and the extent to which Guyana might be used as a point of distribution within Latin America. From an economic perspective, however, Guyana does not represent a population within rigid geographical boundaries, rather, it represents an area of dominant influence over markets in adjacent areas. This influence varies from one industry to another, but also from one period of time to another.
In what follows, I summarize the economic potential for Guyana over the next five years for hundreds of industries, categories, and products. The goal of this chapter is to report my findings on the real economic potential, or what an economist calls the latent demand, represented by Guyana when defined as an area of dominant influence. The reader needs to realize that latent demand may or may not represent real sales. For many items, latent demand is clearly observable in sales, as in the case for food or housing items. Consider, however, the category "satellite launch vehicles". Clearly, there are no launch pads in Guyana used by the space industry to launch satellites. However, the core benefit of the vehicles (e.g. telecommunications, etc.) is "consumed" by the area served by Guyana. Without Guyana, in other words, the market for satellite launch vehicles would be lower for the population in Guyana, Latin America, or the world in general. One needs to allocate, therefore, a portion of the worldwide economic demand for launch vehicles to both Latin America and Guyana.
The data presented are the result of various spatial econometric and time-series forecasting models which, for each category presented, are applied to forecast and allocate latent demand across all countries of the world and major distribution centers or centers of dominant influence within each country. This is accomplished knowing that economic fundamentals (e.g. income) generally vary from one country to another within a given country over time. In this chapter, I report the allocation for each category for Guyana as an area of dominant influence in Latin America and, potentially, the world.
Market Potential Estimation Methodology
Overview
This chapter covers the outlook for products in Guyana. For the year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for Guyana (in millions of U.S. dollars). Comparative benchmarks allow the reader to quickly gauge Guyana vis-à-vis regional and global totals. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This chapter does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The chapter does not consider short-term cyclicalities that might affect realized sales. The chapter, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.
This chapter does not report actual sales data, but gives, however, my estimates for the latent demand for products and services in Guyana. For each category, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). 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 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).
For reasons discussed later, this chapter 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 chapter 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 earlier, this chapter 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 an international 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 Guyana, 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 is 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 chapter 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. 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 Guyana. Since ICON Group has asked me to apply this methodology to a large number of categories and countries, the rather academic discussion below is general and can be applied to a wide variety of categories and countries, not just Guyana.
Step 1. Product Definition and Data Collection
Any study of latent demand across countries and within Guyana 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 are given greater weight than others in the estimation of latent demand compared to other countries 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 cannot 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 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 countries 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 for Guyana 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 chapter, 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 a category falls under the broadest definition of the 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 chapter only relies on public data at the aggregate level without reliance on the summation of various category components. In other words, this chapter 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 chapter are for sales resulting from retail channels.
Step 2. Filtering and Smoothing
Based on the aggregate view of categories 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, 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 on a sporadic basis. In other cases, data from a country 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 for that country.
Step 4. Varying Parameter, Non-Linear Estimation
Given the data available from the first three steps, the latent demand in additional countries 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 across countries 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 countries). This assumption applies across countries along the aggregate consumption function, but also over time (i.e., not all countries are perceived to have the same income growth prospects over time and this effect can vary from country to country as well). Another way of looking at this is to say that latent demand is more likely to be similar across countries that have similar characteristics in terms of economic development (i.e., African countries will have similar latent demand structures controlling for the income variation across the pool of African countries).
This approach is useful across countries for which some notion of non-linearity exists in the aggregate cross-country consumption function. For some categories, however, the reader must realize that the numbers will reflect the contribution of Guyana to global latent demand and may never be realized in the form of local sales. For certain country-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
Non-linearities are assumed in cases where filtered data exist along the aggregate consumption function. Because the world consists of more than 200 countries, there will always be those countries, especially toward the bottom of the consumption function, where non-linear estimation is simply not possible. For these countries, equilibrium latent demand is assumed to be perfectly parametric and not a function of wealth (i.e., a country’s stock of income), but a function of current income (a country’s flow of income). In the long run, if a country 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., countries which earn low levels of income will not use their savings, in the long run, to demand). In a graphical sense, for low income countries, latent demand approaches zero in a parametric linear fashion with a zero-zero intercept. In this stage of the estimation procedure, low-income countries are assumed to have a latent demand proportional to their income, based on the country 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 of the world, for Guyana and 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 figures are presented. Figures are rounded, so minor inconsistencies may exist across tables.
1 INTRODUCTION & METHODOLOGY 15
1.1 What Does This Report Cover? 15
1.2 How to Strategically Evaluate Guyana 15
1.3 Latent Demand in Guyana 17
2 ECONOMIC AND PRODUCT MARKETS IN GUYANA 18
2.1 Introduction & Methodology 18
2.1.1 Overview & Methodology 18
2.1.2 Market Potential Estimation Methodology 18
2.2 Summary Rankings 24
2.3 Latent Demand Forecasts 35
2.3.1 Adhesives and Sealants 35
2.3.2 Advertising Services 35
2.3.3 Aerospace and Defense Equipment 36
2.3.4 Aftermarket Passenger Car Tires 36
2.3.5 Air Freight Services 37
2.3.6 Alcoholic Beverages 37
2.3.7 Ales and Stouts 38
2.3.8 Alimentary and Metabolism Pharmaceuticals 38
2.3.9 Aluminum Die-Casting Foundries 39
2.3.10 Amusement and Recreation Services 39
2.3.11 Analgesics 40
2.3.12 Analog Color Televisions 40
2.3.13 Antidepressant Pharmaceuticals 41
2.3.14 Apparel and Accessories 41
2.3.15 Appetizers and Dips 42
2.3.16 Apples 42
2.3.17 Applications Software 43
2.3.18 Application-Specific Integrated Circuits (ASICs) 43
2.3.19 Architectural Services 44
2.3.20 Athletic Footwear 44
2.3.21 Auto and Home Supply Stores 45
2.3.22 Aviation Services 45
2.3.23 Baby Formula 46
2.3.24 Baked Goods 46
2.3.25 Bakery Products 47
2.3.26 Bananas 47
2.3.27 Base Chemicals 48
2.3.28 Battery Eggs 48
2.3.29 Beauty and Barber Shops 49
2.3.30 Beer 49
2.3.31 Bicycles and Bicycle Accessories 50
2.3.32 Biotechnology 50
2.3.33 Bituminous Coal 51
2.3.34 Blended Whiskey 51
2.3.35 Boat Building 52
2.3.36 Boilers 52
2.3.37 Book Publishing 53
2.3.38 Bottled Water 53
2.3.39 Bottles of Lager Beer 54
2.3.40 Boutique Hotels 54
2.3.41 Bread 55
2.3.42 Breakfast Cereals 55
2.3.43 Breweries 56
2.3.44 Broadband Internet Access 56
2.3.45 Broadwoven Fabric Finishing Mills 57
2.3.46 Brown and Wholemeal Bread 57
2.3.47 Building Materials and Garden Supplies 58
2.3.48 Business and School Supplies 58
2.3.49 Butcher Shops 59
2.3.50 Cable TV 59
2.3.51 CAD/CAM/CAE Software 60
2.3.52 Cafes and Restaurants 60
2.3.53 Cakes and Pastries 61
2.3.54 Camcorders 61
2.3.55 Campgrounds and Recreational Vehicle Parks 62
2.3.56 Candy 62
2.3.57 Cans of Lager Beer 63
2.3.58 Car Aftermarket Products 63
2.3.59 Casinos and Gambling 64
2.3.60 Cat Food 64
2.3.61 CD Players 65
2.3.62 Cellular Telephones 65
2.3.63 Cement Construction Materials 66
2.3.64 Cemeteries and Crematories 66
2.3.65 Chemicals 67
2.3.66 Chilled and Deli Food 67
2.3.67 Chips and Crisps 68
2.3.68 Chocolate Candy 68
2.3.69 Cigarette Manufacturing 69
2.3.70 Citrus Fruit 69
2.3.71 Civil Aerospace Equipment 70
2.3.72 Clay Building Products 70
2.3.73 Clothing Accessories 71
2.3.74 Coin-Operated Laundries and Dry Cleaners 71
2.3.75 Colas 72
2.3.76 Collection Agencies 72
2.3.77 Color Televisions 73
2.3.78 Combination Refrigerator-Freezers 73
2.3.79 Commercial Banking 74
2.3.80 Communications Services 74
2.3.81 Compact Discs (CDs) 75
2.3.82 Complete Dry Dog Food 75
2.3.83 Computer Hardware 76
2.3.84 Concrete Building Products 76
2.3.85 Console Video Games 77
2.3.86 Construction and Engineering Services 77
2.3.87 Consumer Chemicals 78
2.3.88 Continental and Specialty Plant Bread 78
2.3.89 Convenience Stores 79
2.3.90 Cookies and Crackers 79
2.3.91 Cooking Ranges 80
2.3.92 Copper Ores 80
2.3.93 Corporate Strategy Services 81
2.3.94 Cosmetics and Toiletries 81
2.3.95 Costume Jewelry 82
2.3.96 Cotton Yarn 82
2.3.97 Cough and Cold Remedies 83
2.3.98 Credit Bureaus 83
2.3.99 Cross/utility Vehicles (CUVs) 84
2.3.100 Crude Petroleum and Natural Gas Extraction 84
2.3.101 Cruise Ship Tourism 85
2.3.102 Crushed and Broken Stone 85
2.3.103 Current-Carrying Wiring Device Manufacturing 86
2.3.104 Daily Newspapers 86
2.3.105 Dark Brandy 87
2.3.106 Data Processing and Network Services 87
2.3.107 Defense Industry Equipment 88
2.3.108 Deli Food 88
2.3.109 Deluxe and Malt Whiskey 89
2.3.110 Department Stores 89
2.3.111 Depository Credit Intermediation 90
2.3.112 Designer Bath and Shower Products 90
2.3.113 Desktop Personal Computers 91
2.3.114 Dial-Up Internet Access 91
2.3.115 Diesel Trucks 92
2.3.116 Digital Cameras 92
2.3.117 Dining Out 93
2.3.118 Direct Selling Establishments 93
2.3.119 Discount Superstores 94
2.3.120 Discrete Semiconductors 94
2.3.121 Disposable Health Care Equipment and Supplies 95
2.3.122 Distillate Fuel Oil 95
2.3.123 Distilleries 96
2.3.124 Dog Food 96
2.3.125 Dolls and Figures 97
2.3.126 Domestic Water Utilities 97
2.3.127 DRAM (dynamic Random Access Memory) 98
2.3.128 Draught Lager Beer 98
2.3.129 Dried Food 99
2.3.130 Drug Delivery Systems 99
2.3.131 Durable Goods 100
2.3.132 DVD Players 100
2.3.133 Eating and Drinking Places 101
2.3.134 Education and Training Services 101
2.3.135 Electron Tubes 102
2.3.136 Elementary and Secondary Schools 102
2.3.137 Engineering Services 103
2.3.138 Envelope Manufacturing 103
2.3.139 Environmental Consulting Services 104
2.3.140 Ethnic Hair Care Products 104
2.3.141 Everyday Cookies 105
2.3.142 Extended Stay and Business Suite Motels 105
2.3.143 Exterminating and Pest Control Services 106
2.3.144 Family Clothing Stores 106
2.3.145 Farm Machinery and Equipment 107
2.3.146 Fast Food 107
2.3.147 Fax Machines 108
2.3.148 Financial Services 108
2.3.149 Fixed-Line Telecommunications Services 109
2.3.150 Flash Memory 109
2.3.151 Floor Coverings 110
2.3.152 Flour Milling 110
2.3.153 Folding Paperboard Boxes 111
2.3.154 Food Advertising 111
2.3.155 Forestry and Fishing 112
2.3.156 Fossil Fuel-Powered Electric Power Generation 112
2.3.157 Fragrances 113
2.3.158 Franchising 113
2.3.159 Fresh Beef and Veal 114
2.3.160 Fuel Dealers 114
2.3.161 Funeral Homes 115
2.3.162 Gambling 115
2.3.163 Gaming Computer Systems 116
2.3.164 Gardening Supplies, Outdoor Furniture, and Plants 116
2.3.165 General Merchandise stores 117
2.3.166 Generic Prescription Drugs 117
2.3.167 Gift, Novelty, and Souvenir Stores 118
2.3.168 Gifts 118
2.3.169 Gin 119
2.3.170 Glass Container Manufacturing 119
2.3.171 Global Positioning System (GPS) Receivers 120
2.3.172 Gold Ores 120
2.3.173 Golf Equipment 121
2.3.174 Gourmet Potato Chips 121
2.3.175 Government Public Health Activities 122
2.3.176 Grape Juice 122
2.3.177 Graphic Design Services 123
2.3.178 Green Vegetables 123
2.3.179 Greeting Cards 124
2.3.180 Grocery Discounters 124
2.3.181 GSM-Based Cellular Telephones 125
2.3.182 Guided Missiles and Space Vehicles 125
2.3.183 Gypsum Products 126
2.3.184 Hard Cheese 126
2.3.185 HDTV 127
2.3.186 Health Care Equipment and Supplies 127
2.3.187 Highway and Street Construction 128
2.3.188 Hispanic Music Television 128
2.3.189 Hi-Tech Logistics 129
2.3.190 Hobby, Toy, and Game Stores 129
2.3.191 Home Improvement Retailers 130
2.3.192 Hospital Food Service 130
2.3.193 Household Textiles and Soft Furnishings 131
2.3.194 Human Resource Management Services 131
2.3.195 Hunting, Trapping, and Game Propagation 132
2.3.196 Ice Cream 132
2.3.197 Imported Whiskey 133
2.3.198 Impulse Ice Cream 133
2.3.199 In Vitro Diagnostic Equipment 134
2.3.200 IP-Based Enterprise Networking Equipment 134
2.3.201 Janitorial Services 135
2.3.202 Jewelry Stores 135
2.3.203 Juice 136
2.3.204 Kitchen Appliances 136
2.3.205 Knitwear 137
2.3.206 Lager Beer 137
2.3.207 Laptop Computers 138
2.3.208 Large Household Appliances 138
2.3.209 Lawn and Garden Equipment and Supplies Stores 139
2.3.210 Leather and Leather Products 139
2.3.211 Legal Services 140
2.3.212 Leisure Education 140
2.3.213 Lemonade 141
2.3.214 Lemon-Flavored Bottled Water 141
2.3.215 Life Insurance Sold by Life Insurance Companies 142
2.3.216 Linen and Uniform Supply 142
2.3.217 Lingerie 143
2.3.218 Liquefied Petroleum Gas 143
2.3.219 Liqueurs 144
2.3.220 Local and Interurban Passenger Transit 144
2.3.221 Logging 145
2.3.222 Logistics for the Pharmaceutical Industry 145
2.3.223 Lumber and Wood Products 146
2.3.224 Machine Tools 146
2.3.225 Machining Precision Turned Products 147
2.3.226 Magazines 147
2.3.227 Mainstream Tea 148
2.3.228 Malt Beverages 148
2.3.229 Management Consulting Services 149
2.3.230 Manifold Business Forms 149
2.3.231 Manmade Fabric Mills 150
2.3.232 Manufactured Mobile Home Dealers 150
2.3.233 Manufacturing Dog and Cat Food 151
2.3.234 Marine Freight Services 151
2.3.235 Marketing Research and Public Opinion Polling 152
2.3.236 Materials Handling Machinery 152
2.3.237 Measuring and Controlling Instruments 153
2.3.238 Meat and Poultry 153
2.3.239 Media Advertising 154
2.3.240 Medical Biotechnology 154
2.3.241 Medium and Heavy Trucks 155
2.3.242 Mens Grooming Products 155
2.3.243 Menswear 156
2.3.244 Menthol Cigarettes 156
2.3.245 Millwork 157
2.3.246 Mineral Water 157
2.3.247 Model Wheeled Vehicles 158
2.3.248 Moist Cat Food 158
2.3.249 Morning Bakery Goods 159
2.3.250 Motor Vehicles and Motor Vehicle Equipment 159
2.3.251 Mushrooms 160
2.3.252 Music and Video Game Stores 160
2.3.253 NAND Flash Memory Cards 161
2.3.254 National Newspapers 161
2.3.255 New Car Dealers 162
2.3.256 Nitrogenous Fertilizer Manufacturing 162
2.3.257 Non-Airport Car Rentals 163
2.3.258 Non-Chocolate Confectionery Manufacturing 163
2.3.259 Non-Citrus Fruit 164
2.3.260 Non-Current-Carrying Wiring Device Manufacturing 164
2.3.261 Non-Daily Newspapers 165
2.3.262 Non-Depository Credit Intermediation 165
2.3.263 Non-Durable Goods 166
2.3.264 Non-Farm Housing Services 166
2.3.265 Non-Food Retail Sales 167
2.3.266 Non-Interest Commercial Banking 167
2.3.267 Non-Metallic Mineral Mining and Quarrying 168
2.3.268 Non-Residential Construction and Engineering 168
2.3.269 Non-Store Retailers and Mail Order 169
2.3.270 Non-Wood Office Furniture Manufacturing 169
2.3.271 Nonwoven Fabric Mills 170
2.3.272 Nuclear Electric Power Generation 170
2.3.273 Nursery, Garden Center, and Farm Supply Stores 171
2.3.274 Nursing Homes 171
2.3.275 Office Supplies and Stationery Stores 172
2.3.276 Oil, Gas, and Mining Exploration Services 172
2.3.277 Oils and Fats 173
2.3.278 Online Analytical Processing (OLAP) 173
2.3.279 Operations Management Services 174
2.3.280 Ophthalmic Goods Manufacturing 174
2.3.281 Optical Goods and Eye Care Products 175
2.3.282 Oral Drug Delivery Systems 175
2.3.283 Orange Juice 176
2.3.284 OTC Healthcare Products 176
2.3.285 Outerwear Clothing and Accessories 177
2.3.286 Outsourcing Services 177
2.3.287 Ovens and Stoves 178
2.3.288 Over-The-Counter Drugs 178
2.3.289 Packaging and Labeling Services 179
2.3.290 Paid Internet Search Advertising 179
2.3.291 Paint and Wallpaper Stores 180
2.3.292 Parking Lots, Garages, and Valet Parking Services 180
2.3.293 Passenger Transportation 181
2.3.294 Passive Components 181
2.3.295 Pasta and Noodles 182
2.3.296 Periodicals 182
2.3.297 Perishable Prepared Foods Manufacturing 183
2.3.298 Permanent Employment Services 183
2.3.299 Personal Stationery 184
2.3.300 Pet Care Products 184
2.3.301 Pharmacies and Drug Stores 185
2.3.302 Phosphatic Fertilizer Manufacturing 185
2.3.303 Physicians Services 186
2.3.304 Pizzas 186
2.3.305 Plant Bread 187
2.3.306 Plumbing Products 187
2.3.307 Pollution Control Equipment and Services 188
2.3.308 Port and Shipbuilding Equipment 188
2.3.309 Potato Chips 189
2.3.310 Poultry Products 189
2.3.311 Precious Metal Jewelry and Personal Articles 190
2.3.312 Prefabricated Metal Buildings 190
2.3.313 Prerecorded Tape, Compact Disc, and Record Stores 191
2.3.314 Prescription Eyeglass Frames 191
2.3.315 Presentation Materials 192
2.3.316 Primary Metal Industries 192
2.3.317 Printed Circuit Boards 193
2.3.318 Printers 193
2.3.319 Printing Special Business Forms and Checkbooks 194
2.3.320 Private Residential Construction 194
2.3.321 Professional Computer Services 195
2.3.322 Programmable Logic Devices 195
2.3.323 Property and Casualty Insurance 196
2.3.324 Public Residential Construction 196
2.3.325 Publishing Advertising 197
2.3.326 Pubs, Clubs, and Nightclubs 197
2.3.327 Pulmonary Drug Delivery Systems 198
2.3.328 Pulp Mills 198
2.3.329 Radio and Television Broadcasting 199
2.3.330 Railroad Freight Services 199
2.3.331 Ready Pasta 200
2.3.332 Real Jewelry 200
2.3.333 Reconstituted Wood Products 201
2.3.334 Recorded Music 201
2.3.335 Recreational Vehicle Dealers 202
2.3.336 Red Meat 202
2.3.337 Refrigeration Appliances 203
2.3.338 Regional Newspapers 203
2.3.339 Relays and Industrial Controls 204
2.3.340 Remediation Services 204
2.3.341 Rendering Animal Fat, Bones, and Meat Scraps 205
2.3.342 Replacement Tires for Cars and Light Vans 205
2.3.343 Residential Construction 206
2.3.344 Residual Fuel Oil 206
2.3.345 Retail Logistics 207
2.3.346 Retirement Savings Plans 207
2.3.347 Root Vegetables 208
2.3.348 Sanitary Protection Products 208
2.3.349 Sauces, Salad Dressings, and Condiments 209
2.3.350 Savory Snacks 209
2.3.351 Sawmills 210
2.3.352 School Food Service 210
2.3.353 Scrap Recycling 211
2.3.354 Screw Machine Products 211
2.3.355 Secondary Smelting and Alloying of Aluminum 212
2.3.356 Security and Commodity Brokers and Dealers 212
2.3.357 Services 213
2.3.358 Sewing, Needlework, and Piece Goods Stores 213
2.3.359 Shellfish 214
2.3.360 Ship Building and Repairing 214
2.3.361 Skin Care Products 215
2.3.362 Slaughtering Animals Excluding Poultry 215
2.3.363 Sliced Cooked Meat 216
2.3.364 Socks, Stockings, and Tights 216
2.3.365 Soup 217
2.3.366 Spice and Extract Manufacturing 217
2.3.367 Sporting Goods Retailers 218
2.3.368 Sports and Energy Drinks 218
2.3.369 Spreads and Margarines 219
2.3.370 Stationary Bicycles 219
2.3.371 Steel Mill Products 220
2.3.372 Still Bottled Water 220
2.3.373 Storage Battery Manufacturing 221
2.3.374 Sugar Candy 221
2.3.375 Support Activities for Air Transportation 222
2.3.376 Surface Cleaners 222
2.3.377 Switchgear and Switchboard Apparatus 223
2.3.378 Synthetic Rubber 223
2.3.379 Taxicabs 224
2.3.380 Telecommunications Equipment 224
2.3.381 Television Broadcasting 225
2.3.382 Temporary Employment Services 225
2.3.383 Testing Laboratories 226
2.3.384 Textile Fabrics 226
2.3.385 Tobacco Products 227
2.3.386 Toy Stores 227
2.3.387 Traditional Toys 228
2.3.388 Transformers 228
2.3.389 Transportation Equipment 229
2.3.390 Travel Trailer and Camper Manufacturing 229
2.3.391 Truck Trailer Manufacturing 230
2.3.392 Ultra Disposable Diapers 230
2.3.393 Underwear, Nightwear, and Swimwear 231
2.3.394 Underwire Bras 231
2.3.395 Unleaded Gasoline 232
2.3.396 Upholstered Household Furniture Manufacturing 232
2.3.397 Used Car Dealers 233
2.3.398 Utilities 233
2.3.399 Valves and Pipe Fittings 234
2.3.400 Vegetarian Foods 234
2.3.401 Venture Capital 235
2.3.402 Vodka 235
2.3.403 VoIP Telephone Service 236
2.3.404 Washing Machines 236
2.3.405 Watches 237
2.3.406 Water Utilities 237
2.3.407 Weft Knit Fabric Mills 238
2.3.408 Welding and Soldering Equipment Manufacturing 238
2.3.409 Whiskey 239
2.3.410 White Bread 239
2.3.411 Whole Chicken Poultry 240
2.3.412 Wine 240
2.3.413 Wineries 241
2.3.414 Wireless Communication Services 241
2.3.415 Wiring Devices 242
2.3.416 Women’s Apparel and Accessories 242
2.3.417 Womenswear and Lingerie 243
2.3.418 Wood Preservation 243
2.3.419 Wool Yarn 244
2.3.420 Workers Compensation Insurance 244
2.3.421 Yarn Spinning Mills 245
2.3.422 Yellow Fats 245
2.3.423 Definition of Terms 246
3 TRADE INDICATORS: IMPORTS INTO GUYANA 286
3.1 Introduction & Methodology 286
3.2 Summary of Imports into Guyana 287
3.3 Import Details 296
3.3.1 Albuminoidal Substances, Modified Starches, and Glues 296
3.3.2 Aluminum Structures and Parts of Structures 296
3.3.3 Amino-Resins, Phenolic Resins and Polyurethanes in Primary Forms 296
3.3.4 Animal and Vegetable Oils, Fats, and Waxes 297
3.3.5 Apparel and Clothing Accessories Made of Plastics or Vulcanized Rubber Excluding Hard Rubber 297
3.3.6 Bakery Mixes and Doughs for the Preparation of Bread, Pastry, Cakes, and Biscuits 297
3.3.7 Ball Bearings 298
3.3.8 Batteries, Electric Accumulators, and Their Parts 298
3.3.9 Beans, Peas, Lentils, and Legumes 298
3.3.10 Bearing Housings and Plain Shaft Bearings 299
3.3.11 Bed, Table, Toilet, and Kitchen Linens 299
3.3.12 Beer and Malt Beverages 299
3.3.13 Beverages and Tobacco 300
3.3.14 Bicycles and Other Motorless Cycles 300
3.3.15 Builders Plastic Wares 301
3.3.16 Candles, Matches, Pyrophoric Alloys, Articles of Combustible Materials, and Smokers Requisites 301
3.3.17 Check Valves 301
3.3.18 Childrens Toys and Indoor Games 302
3.3.19 Cigarettes 302
3.3.20 Color Television Receivers, Video Monitors, and Projectors 302
3.3.21 Common Salt, Rock Salt, Sea Salt, Sea Water, and Pure Sodium Chloride 303
3.3.22 Concentrated or Sweetened Milk and Cream 303
3.3.23 Continuous-Action Elevators and Conveyors for Goods or Materials 304
3.3.24 Corn Seed 304
3.3.25 Cosmetic Preparations for the Hair Including Shampoos 304
3.3.26 Cyclic Hydrocarbons 304
3.3.27 Dairy Products 305
3.3.28 Data Processing Input or Output Units 305
3.3.29 Digital Processing Units Which May Contain Storage Units, Input Units, or Output Units 305
3.3.30 Disinfectants and Rodenticides for Retail Sale 306
3.3.31 Electric Generating Sets 306
3.3.32 Electric Motors with Output Exceeding 37.5 w and AC Generators 306
3.3.33 Electric Motors with Output Exceeding 37.5 w and DC Generators 307
3.3.34 Electrical Insulating Equipment 307
3.3.35 Electrical Transformers 307
3.3.36 Electro-Diagnostic Equipment 307
3.3.37 Electromechanical Hand Tools with Self-Contained Electric Motors and Parts Thereof 308
3.3.38 Extracts of Coffee and Coffee Substitutes 308
3.3.39 Fans and Cooker Hoods with Fans 308
3.3.40 Fiberboard of Wood or Other Ligneous Materials 309
3.3.41 Filtering and Purifying Machinery for Liquids or Gases 309
3.3.42 Fixed Line Telephone and Telegraph Equipment 309
3.3.43 Float Glass and Surface Ground or Polished Glass in Sheets 310
3.3.44 Flours and Meals of Oil Seeds or Oleaginous Fruits Excluding Mustard Flour 310
3.3.45 Food and Live Animals 311
3.3.46 Footwear with Protective Metal Toe-Caps Excluding Sports Footwear 312
3.3.47 Fresh or Chilled Potatoes 312
3.3.48 Fresh, Preserved, or Cooked Birds Eggs in Shells 312
3.3.49 Friction Materials and Manufactures of Asbestos 312
3.3.50 Fuel, Lubricating, or Cooling Medium Pumps for Internal Combustion Piston Engines 313
3.3.51 Gas Oils 313
3.3.52 Gas, Liquid, or Electricity Supply or Production Meters and Calibrating Meters 313
3.3.53 Gasoline and Other Light Oils 314
3.3.54 Gears and Gearing, Ball Screws, Gear Boxes, Speed Changers, and Torque Converters 314
3.3.55 Glassware for Table, Kitchen, Toilet, Office, and Indoor Decoration 314
3.3.56 Glycosides, Glands or Other Organs and Extracts, Antisera, Vaccines, and Similar Products 315
3.3.57 Hand Tools, Pneumatic Tools, Tools with Self-Contained Non-Electric Motors, and Their Parts 315
3.3.58 Helicopters 315
3.3.59 Herbicides, Weed Killers, Antisprouting Products, and Plant-Growth Regulators for Retail Sale 316
3.3.60 Household Refrigerators and Food Freezers 316
3.3.61 Hydrogenated or Interesterified Animal or Vegetable Fats or Oils and Their Fractions 317
3.3.62 Industrial Refrigerators, Freezers, and Other Refrigeration and Freezing Equipment and Parts 317
3.3.63 Inedible Crude Materials Excluding Fuels 318
3.3.64 Inorganic Acids and Inorganic Oxygen Compounds of Nonmetals 318
3.3.65 Insecticides for Retail Sale 319
3.3.66 Internal Combustion Piston Engines for Marine-Propulsion 319
3.3.67 Iron and Non-Alloy Steel Wire 319
3.3.68 Iron and Steel Angles, Shapes, Sections (Excluding Rails), and Sheet Piling 320
3.3.69 Iron and Steel Articulated Link Chain and Parts 320
3.3.70 Iron and Steel Chain and Chain Parts 320
3.3.71 Iron and Steel Seamless Tubes, Pipes, and Hollow Profiles 321
3.3.72 Iron and Steel Tube and Pipe Fittings 321
3.3.73 Iron or Steel Screws, Bolts, Nuts, Screw Hooks, Rivets, Washers, and Similar Articles 321
3.3.74 Iron or Steel Structures and Parts of Structures 322
3.3.75 Iron, Steel, or Copper Non-Electric Domestic Cooking or Heating Equipment and Parts 322
3.3.76 Iron, Steel, or Copper Springs and Leaves for Springs 322
3.3.77 Kerosene and Other Medium Oils Excluding Gas Oils 323
3.3.78 Knitted or Crocheted Fabrics 323
3.3.79 Machinery and Transport Equipment 324
3.3.80 Malt and Malt Flour 325
3.3.81 Manufactured Goods 326
3.3.82 Margarine and Edible Preparations of Animal or Vegetable Fats or Oils 327
3.3.83 Medicaments Containing Antibiotics or Their Derivatives 327
3.3.84 Mens and Boys Trousers, Bib and Brace Overalls, Breeches, and Shorts of Woven Textile Materials 327
3.3.85 Metal-Rolling Mills Including Its Rolls and Other Parts 328
3.3.86 Mineral Fuels, Lubricants, and Related Materials 328
3.3.87 Motor Vehicles for Transport of Goods and Materials 328
3.3.88 Motorcycles, Mopeds, and Cycles with Auxiliary Motors and Their Sidecars 329
3.3.89 New Pneumatic Rubber Tires for Buses and Trucks 329
3.3.90 Newsprint in Rolls or Sheets 330
3.3.91 Nitrogenous Minerals and Chemical Fertilizers 330
3.3.92 Non-Refractory Ceramic Bricks, Tiles, and Pipes 330
3.3.93 Oral or Dental Hygiene Preparations and Denture Fixative Pastes and Powders 331
3.3.94 Orange Juice 331
3.3.95 Oxides of Zinc, Chromium, Manganese, Iron, Cobalt, Titanium, and Lead 331
3.3.96 Oxygen-Function Amino-Compounds 332
3.3.97 Painted, Varnished, or Plastic-Coated Iron and Non-Alloy Steel Flat-Rolled Products 332
3.3.98 Palm Oil and Its Fractions 332
3.3.99 Paper and Paperboard Boxes, Bags, and Cartons, Cases, and Packing Containers 333
3.3.100 Parts and Accessories for Office Machines and Automatic Data Processing Machines 333
3.3.101 Parts and Accessories for Telecommunication and Sound Recording or Reproducing Equipment 333
3.3.102 Parts for Steam Turbines and Other Vapor Turbines 334
3.3.103 Parts of Centrifuges, Centrifugal Dryers, and Filtering and Purifying Machinery 334
3.3.104 Parts of Pumps for Liquids and Liquid Elevators 334
3.3.105 Pharmaceutical Goods Excluding Medicaments 335
3.3.106 Phosphatic Mineral and Chemical Fertilizers 335
3.3.107 Phosphinates (Hypophosphites), Phosphonates (Phosphites), Phosphates, and Polyphosphates 335
3.3.108 Plastic Fittings for Tubes, Pipes, and Hoses Including Joints, Elbows, and Flanges 336
3.3.109 Plastic Floor, Wall, or Ceiling Coverings and Plastic Household and Toilet Articles 336
3.3.110 Plastic Stoppers, Lids, Caps, Closures, and Articles for the Conveyance or Packing of Goods 337
3.3.111 Plated or Zinc-Coated Iron and Non-Alloy Steel Flat-Rolled Products 337
3.3.112 Polycarbonates, Alkyd Resins, and Other Polyesters in Primary Forms 338
3.3.113 Polyvinyl Chloride in Primary Forms 338
3.3.114 Portland Cement, Aluminous Cement, Slag Cement, Supersulfate Cement, and Similar Hydraulic Cements 338
3.3.115 Potassic Mineral and Chemical Fertilizers Excluding Crude Natural Potassium Salts 339
3.3.116 Prepared Liquids for Hydraulic Transmissions and Antifreezing Preparations 339
3.3.117 Printed Books, Pamphlets, Maps, and Globes Excluding Advertising Material 339
3.3.118 Printing Ink 340
3.3.119 Propellent Powders and Other Prepared Explosives 340
3.3.120 Public Transportation Motor Vehicles with a Capacity of At Least 10 Persons 340
3.3.121 Quicklime, Slaked Lime, and Hydraulic Lime 341
3.3.122 Rags and Worn Textile Articles Including Clothing 341
3.3.123 Raw Beet and Cane Sugars 341
3.3.124 Refractory Bricks and Other Refractory Construction Materials 341
3.3.125 Rigid Plastic Tubes, Pipes, and Hoses 342
3.3.126 Road Tractors for Semi-Trailers 342
3.3.127 Rolls and Sheets of Paper and Paperboard 342
3.3.128 Safety or Relief Valves 343
3.3.129 Sauces, Seasonings, and Condiments Including Preparations of Mustard and Vinegar 343
3.3.130 Saw Blades Including Slitting, Slotting, or Toothless Varieties 343
3.3.131 Self-Propelled Bulldozers, Angledozers, Graders, and Levelers 344
3.3.132 Self-Propelled Mechanical Shovels, Excavators, and Shovel-Loaders 344
3.3.133 Sewing Machines, Sewing Machine Needles, Sewing Machine Furniture, Bases and Covers, and Parts 344
3.3.134 Soap and Organic Surface-Active Products Used and Soap 345
3.3.135 Sound and Video Recording or Reproducing Apparatus 345
3.3.136 Soups, Broths, and Preparations Thereof 345
3.3.137 Soybean Oil and Its Fractions 346
3.3.138 Special Transactions and Commodities Not Classified by Kind 346
3.3.139 Spices Excluding Pepper and Pimento 346
3.3.140 Sporting Goods 347
3.3.141 Sugar Confectionery Excluding Cocoa Products 347
3.3.142 Sulfides, Polysulfides, Dithionites, Sulfoxylates, Sulfites, Thiosulfates, Sulfates and Alums 347
3.3.143 Tapered Roller Bearings and Cone and Tapered Roller Assemblies 348
3.3.144 Tea 348
3.3.145 Tempered or Laminated Safety Glass 348
3.3.146 Textile Sacks and Bags 349
3.3.147 Textile Tarpaulins, Awnings, Sunblinds, Tents, Boat Sails, and Camping Goods 349
3.3.148 Textile Wadding, Wicks, and Fabrics for Use in Machinery and Plants 349
3.3.149 Textile-Covered Rubber Thread and Cord 350
3.3.150 Transmission and Conveyor Belting Made of Vulcanized Rubber 350
3.3.151 Transmission Shafts, Cranks, and Cam and Crank Shafts 350
3.3.152 Tubes, Pipes, and Hoses of Unhardened Vulcanized Rubber 350
3.3.153 Tulles, Lace, and Other Net Fabrics 351
3.3.154 Twine, Cordage, Rope, and Cable 351
3.3.155 Uncooked, Unprepared Pasta 351
3.3.156 Unmilled Rye 351
3.3.157 Vegetable and Fruit Juices Excluding Those Made from Citrus Fruits 352
3.3.158 Vulcanized Rubber 352
3.3.159 Wheat Groats, Meal, and Pellets 352
3.3.160 Wheelchairs and Their Parts 352
3.3.161 Wire Cloth, Grill, Netting, Fencing, and Expanded Metal of Iron, Steel, or Copper 353
3.3.162 Womens and Girls Blouses, Shirts, and Shirt-Blouses of Knitted or Crocheted Textile Fabrics 353
3.3.163 Womens and Girls Trousers, Bib and Brace Overalls, Breeches, and Shorts of Woven Textile Fabrics 353
3.3.164 Worked Aluminum and Aluminum Alloys 354
3.3.165 Woven Fabrics Made of Synthetic Filament Yarn 354
3.3.166 Woven Fabrics of At Least 85% Synthetic Staple Fibers by Weight 354
3.3.167 Woven Fabrics of Less Than 85% Artificial Staple Fibers by Weight 355
3.3.168 Yeast and Prepared Baking Powders 355
4 TRADE INDICATORS: EXPORTS FROM GUYANA 356
4.1 Introduction & Methodology 356
4.2 Summary of Exports from Guyana 357
4.3 Export Details 361
4.3.1 Acyclic Monohydric Alcohols 361
4.3.2 Aluminum Ores and Concentrates 361
4.3.3 Aluminum Structures and Parts of Structures 362
4.3.4 Animal and Vegetable Oils, Fats, and Waxes 362
4.3.5 Beverages and Tobacco 362
4.3.6 Builders Wood Carpentry and Joinery 363
4.3.7 Coconut Oil and Its Fractions 363
4.3.8 Data Processing Input or Output Units 363
4.3.9 Densified Wood and Reconstituted Wood 363
4.3.10 Diamonds Excluding Industrial Diamonds 364
4.3.11 Dried, Brined, or Salted Fish 364
4.3.12 Ferrous Metal Waste and Scrap Excluding Waste and Scrap of Cast Iron and Alloy Steel 364
4.3.13 Food and Live Animals 365
4.3.14 Fresh and Chilled Fish Fillets 365
4.3.15 Fresh or Chilled Whole Fish 366
4.3.16 Fresh or Dried Bananas and Plantains 366
4.3.17 Frozen Crustaceans 366
4.3.18 Frozen Fish Excluding Fillets 367
4.3.19 Frozen Fish Fillets 367
4.3.20 Fuel, Lubricating, or Cooling Medium Pumps for Internal Combustion Piston Engines 367
4.3.21 Husked Rice 368
4.3.22 Inedible Crude Materials Excluding Fuels 369
4.3.23 Insecticides for Retail Sale 370
4.3.24 Knitted or Crocheted Jerseys, Pullovers, Cardigans, Waistcoats, and Similar Articles 370
4.3.25 Machinery and Transport Equipment 370
4.3.26 Manufactured Goods 371
4.3.27 Margarine and Edible Preparations of Animal or Vegetable Fats or Oils 371
4.3.28 Mens and Boys Shirts of Knitted or Crocheted Textile Fabrics 371
4.3.29 Mens and Boys Suits of Woven Textile Fabrics 372
4.3.30 Mens and Boys Trousers, Bib and Brace Overalls, Breeches, and Shorts of Woven Textile Materials 372
4.3.31 Milled and Semi-Milled Rice 372
4.3.32 Molasses 373
4.3.33 Mollusks 373
4.3.34 Natural Sands 373
4.3.35 Non-Monetary Gold 373
4.3.36 Paper and Paperboard Boxes, Bags, and Cartons, Cases, and Packing Containers 374
4.3.37 Parts and Accessories for Office Machines and Automatic Data Processing Machines 374
4.3.38 Plywood with Each Ply Not Over 6 mm Thick 374
4.3.39 Portland Cement, Aluminous Cement, Slag Cement, Supersulfate Cement, and Similar Hydraulic Cements 375
4.3.40 Prefabricated Buildings 375
4.3.41 Provitamins and Vitamins Excluding Medicaments 375
4.3.42 Raw Beet and Cane Sugars 376
4.3.43 Rigid Plastic Tubes, Pipes, and Hoses 376
4.3.44 Rough or Roughly Squared Wood Treated with Paint, Stains, or Other Preservatives 376
4.3.45 Sawn, Chipped, Sliced, or Peeled Coniferous Wood over 6 Millimeters Thick 377
4.3.46 Sawn, Chipped, Sliced, or Peeled Non-Coniferous Wood over 6 Millimeters Thick 377
4.3.47 Soap and Organic Surface-Active Products Used and Soap 378
4.3.48 Sorted Industrial Diamonds 378
4.3.49 Special Transactions and Commodities Not Classified by Kind 378
4.3.50 Transmission Shafts, Cranks, and Cam and Crank Shafts 378
4.3.51 Uncooked, Unprepared Pasta 379
4.3.52 Unroasted Coffee Including Decaffeinated 379
4.3.53 Untreated, Rough or Roughly Squared Coniferous Wood 379
4.3.54 Untreated, Rough or Roughly Squared Non-Coniferous Wood 380
4.3.55 Waste, Parings, and Scrap of Ethylene Polymers 380
4.3.56 Womens and Girls Blouses, Shirts, and Shirt-Blouses of Knitted or Crocheted Textile Fabrics 380
4.3.57 Womens and Girls Trousers, Bib and Brace Overalls, Breeches, and Shorts of Woven Textile Fabrics 381
4.3.58 Wood Railway and Tramway Sleepers and Cross-Ties 381
4.3.59 Worked or Shaped Coniferous Wood 381
4.3.60 Worked or Shaped Non-Coniferous Wood 382
5 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 383
5.1 Disclaimers & Safe Harbor 383
5.2 ICON Group International, Inc. User Agreement Provisions 384
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