Congo - Palm Oil - Market Analysis, Forecast, Size, Trends and Insights, 2022
Congo - Palm Oil - Market Analysis, Forecast, Size, Trends and Insights, 2022
Abstract
1. Introduction
Making Data-Driven Decisions to Grow Your Business
1.1 Report Description
This report was generated automatically by the IndexBox AI Platform and presents asurvey of the palm oil market in Congo. Within it, you will find the latest data on markettrends, consumption, production and price developments, as well as the foreign trade (imports and exports). The forecast reveals the market perspectives through to 2030. Countries coverage: Congo
Product coverage:
HS 151110 - Vegetable oils; palm oil and its fractions, crude, not chemically modified
HS 151190 - Vegetable oils; palm oil and its fractions, other than crude, whether or not refined, but not chemically modified
Data coverage:
• Palm oil market volume and value;
• Per capita consumption;
• Forecast of the market dynamics in the medium term;
• Palm oil production;
• Palm oil trade (exports and imports);
• Export and import price for palm oil;
• Palm oil market trends, drivers and restraints;
• Key market players and their profiles.
1.2 Research Methodology and the AI platform
The AI-based platform, developed by IndexBox data scientists, constitutes the key working tool for our analysts, empowering them to discover deep insights from marketing data.
AI platform’s algorithm is based on the following steps:
1. Data collection
2. Data cleaning, categorization and normalization
3. Building predictive models to generate market analysis and forecasts
4. Data-driving decision making
1. Data Collection
A company-developed 'robot' is used at the data collection and processing stage; it receives the bulk of the data from a variety of sources that provide official statistical information, such as the UN, the World Bank, industry association sites and commercial databases which contain company data. However, over a third of the data from these sources has to be discarded due to its inherent unreliability: even data from the most reliable of sources frequently contains distortions and omissions.
2. Data Cleaning, Categorization and Normalization
At the second stage, the company's AI platform eliminates any data anomalies and omissions using the 'smart' system of mathematical and statistical tools developed by our experts, in combination principles of machine learning. As a rule, the official world trade data presents the most problems. If necessary, the 'robot' calculates the mirror data for each value, processing in total over 1 million data values for each trade code. In addition, the script completes any mid-series gaps or omissions using an average value, the average rates of growth and the construction of a regression model. In some cases, a regression model is used to extrapolate the data series.
The auxiliary indicators are then calculated and their initial values are evaluated and assessed for accuracy. This is achieved by calculating the confidence intervals using standard deviation and percentiles. Should the value appear as an anomaly, then the program repeats the entire recovery cycle and recalculates the values, depending on the figures that have been changed. It then performs the preparatory calculations and
Using the 'robot', therefore, we are able to source and eliminate problematic places even in the data obtained from official sources, data which other analysts have to consider as reliable. At the same time, our analysts carefully check the results, the necessary corrections are made and the program 'remembers' these changes – by using machine learning, therefore, its accuracy is constantly increasing.
3. Building Predictive Models to Generate Market Analysis and Forecasts
The use of AI and data science makes it feasible for the analysts to exploit their skills and experience to a much greater extent. Using data mining principles, it is possible to check and mutually compare the many factors that determine the dynamics of the market indicators; this allows the analysts to construct multifactor models, thereby generating market analysis and forecasts. During this process, over 50 external factors are checked (from the standard of living to the weather conditions) to assess their impact on the market indicators and to obtain the most reasonable market forecast. Moreover, to provide a full understanding of the trends of the market, this report provides a trend analysis, taking into account recent events in the product market, as well as in adjacent and related markets, the raw material markets and industries, which are the main demand creators for the product in question under the research analysis process.
4. Data-Driving Decision Making
The use of the artificial intelligence platform makes it possible to find actionable insights and generate data-driven decisions for growing your business. The advantage of these solutions lies in the fact that they are based on hard and reliable data, obtained during the multi-cycle processes of the AI platform, which is constantly being updated and improved.
1.3 Data-Driven Decisions for Your Business
How Our Data Can Help You to Grow Your Business?
In our reports, you can find information that helps you to make informed decisions on the following issues
1. How to diversify your business and benefit from new market opportunities
2. How to load your idle production capacity
3. How to boost your sales on overseas markets
4. How to increase your profit margins
5. How to make your supply chain more sustainable
6. How to reduce your production and supply chain costs
7. How to outsource production to other countries
8. How to prepare your business for global expansion
Whom Our Reports Designed For?
Producers
Looking for new profitable markets and products, diversifying production, trying to reduce costs and establishing sustainable supply chain
Distributors and Wholesalers
Searching for new profitable markets and suppliers, trying to reduce supply chain costs, as well as developing own production facilities
Investors
Interesting in starting new investment projects, as well as controlling ongoing ones.
Consultants and advisors
Conducting marketing research and developing marketing and sales strategies, as well as conducting feasibility studies of investment projects for clients
3. Market Overview
Understanding the Current State and Prospects of the Market
3.1 Market Size
In 2021, consumption of palm oil decreased by XX% to XXK tonnes for the first time since 2018, thus ending a two-year rising trend. Overall, consumption, however, saw a tangible increase. Palm oil consumption peaked at XXK tonnes in 2020, and then declined in the following year.
The value of the palm oil market in Congo contracted to $XXM in 2021, falling by XX% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Overall, consumption, however, enjoyed notable growth. Over the period under review, the market hit record highs at $XXM in 2020, and then shrank in the following year.
3.2 Market Structure
This section serves to demonstrate palm oil market entry opportunities for foreign exporters. Driven by a growing demand, the share of imports in total supply in Congo increased significantly over the last fourteen-year period (from XX% to XX%)
3.3 Trade Balance
Congo remains a net importer of palm oil; in physical and value terms, imports consistently exceeded exports from 2007 to 2021. In 2021, there was a significant trade deficit of XXK tonnes, which was equal to $XXM. This tangible trade deficit reflects the fact that the market remains dependent on imports, which is likely to continue in the medium term.
3.4 Per Capita Consumption
In 2021, per capita palm oil consumption in Congo was estimated at XX kg per person. Over the analyzed period, per capita consumption ranged in the interval from XX kg per person in 2008 to XX kg per person in 2020. In value terms, per capita palm oil consumption in Congo showed mixed trend pattern, finally rising from $XX in 2007 to $XX in 2021.
3.5 Market Forecast to 2030
Driven by increasing demand for palm oil in Congo, the market is expected to continue an upward consumption trend over the next decade. Market performance is forecast to retain its current trend pattern, expanding with an anticipated CAGR of XX% for the period from 2021 to 2030, which is projected to bring the market volume to XXK tonnes by the end of 2030.
Content
Table of Contents
1. INTRODUCTION
MAKING DATA-DRIVEN DECISIONS TO GROW YOUR BUSINESS
1.1 REPORT DESCRIPTION
1.2 RESEARCH METHODOLOGY AND THE AI PLATFORM
1.3 DATA-DRIVEN DECISIONS FOR YOUR BUSINESS
1.4 GLOSSARY AND SPECIFIC TERMS
2. EXECUTIVE SUMMARY
GETTING A QUICK VIEW OF THE MARKET PERFORMANCE
2.1 KEY FINDINGS
3. MARKET OVERVIEW
UNDERSTANDING THE CURRENT STATE AND PROSPECTS OF THE MARKET
3.1 MARKET SIZE
3.2 MARKET STRUCTURE
3.3 TRADE BALANCE
3.4 PER CAPITA CONSUMPTION
3.5 MARKET FORECAST TO 2030
4. MOST PROMISING PRODUCTS FOR DIVERSIFICATION
FINDING NEW PRODUCTS TO DIVERSIFY YOUR BUSINESS
4.1 TOP PRODUCTS TO DIVERSIFY YOUR BUSINESS
4.2 BEST-SELLING PRODUCTS
4.3 MOST CONSUMED PRODUCT
4.4 MOST TRADED PRODUCT
4.5 MOST PROFITABLE PRODUCT FOR EXPORT
5. MOST PROMISING SUPPLYING COUNTRIES
CHOOSING THE BEST COUNTRIES TO ESTABLISH YOUR SUSTAINABLE SUPPLY CHAIN
5.1 TOP COUNTRIES TO SOURCE YOUR PRODUCT
5.2 TOP PRODUCING COUNTRIES
5.3 TOP EXPORTING COUNTRIES
5.4 LOW-COST EXPORTING COUNTRIES
6. MOST PROMISING OVERSEAS MARKETS
CHOOSING THE BEST COUNTRIES TO BOOST YOUR EXPORT
6.1 TOP OVERSEAS MARKETS FOR EXPORTING YOUR PRODUCT
6.2 TOP CONSUMING MARKETS
6.3 UNSATURATED MARKETS
6.4 TOP IMPORTING MARKETS
6.5 MOST PROFITABLE MARKETS
7. PRODUCTION
GETTING THE LATEST TRENDS AND INSIGHTS IN THE INDUSTRY
7.1 PRODUCTION VOLUME AND VALUE
8. IMPORTS
KNOWING THE LARGEST PALM OIL SUPPLIERS ON THE MARKET
8.1 IMPORTS FROM 2007–2021
8.2 IMPORTS BY TYPE
8.3 IMPORTS BY COUNTRY
8.4 IMPORT PRICES BY TYPE AND COUNTRY
9. EXPORTS
KNOWING THE LARGEST PALM OIL DESTINATIONS ON THE MARKET
9.1 EXPORTS FROM 2007–2021
9.2 EXPORTS BY TYPE
9.3 EXPORTS BY COUNTRY
9.4 EXPORT PRICES BY TYPE AND COUNTRY
10. TOP PRODUCERS OF PALM OIL IN CONGO
KNOWING THE LARGEST PRODUCERS IN THE COUNTRY
DISCLAIMERS
LIST OF TABLES
TABLE 1: KEY FINDINGS IN 2021
TABLE 2: MARKET VOLUME, IN PHYSICAL TERMS, 2007–2021
TABLE 3: MARKET VALUE, 2007–2021
TABLE 4: PER CAPITA CONSUMPTION, 2007–2021
TABLE 5: IMPORTS, IN PHYSICAL AND VALUE TERMS, BY TYPE, 2007–2021
TABLE 6: IMPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
TABLE 7: IMPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021 .
TABLE 8: IMPORT PRICES, BY COUNTRY, 2007–2021
TABLE 9: IMPORT PRICES, BY TYPE, 2007–2021
TABLE 10: EXPORTS, IN PHYSICAL AND VALUE TERMS, BY TYPE, 2007–2021
TABLE 11: EXPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
TABLE 12: EXPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021
TABLE 13: EXPORT PRICES, BY COUNTRY, 2007–2021
TABLE 14: EXPORT PRICES, BY TYPE, 2007–2021
LIST OF FIGURES
FIGURE 1: MARKET VOLUME, IN PHYSICAL TERMS, 2007–2021
FIGURE 2: MARKET VALUE, 2007–2021
FIGURE 3: PALM OIL MARKET STRUCTURE – DOMESTIC SUPPLY VS. IMPORTS, IN VALUE TERMS, 2007–2021
FIGURE 4: TRADE BALANCE, PALM OIL, IN PHYSICAL TERMS, 2007–2021
FIGURE 5: TRADE BALANCE, PALM OIL, IN VALUE TERMS, 2007–2021
FIGURE 6: PER CAPITA CONSUMPTION, 2007–2021
FIGURE 7: MARKET FORECAST TO 2030
FIGURE 8: VEGETABLE AND ANIMAL OILS AND FATS: MARKET SIZE AND GROWTH, BY TYPE
FIGURE 9: VEGETABLE AND ANIMAL OILS AND FATS: AVERAGE PER CAPITA CONSUMPTION, BY TYPE, 2021
FIGURE 10: VEGETABLE AND ANIMAL OILS AND FATS: EXPORTS AND GROWTH, BY TYPE
FIGURE 11: VEGETABLE AND ANIMAL OILS AND FATS: EXPORT PRICES AND GROWTH, BY TYPE
FIGURE 12: PRODUCTION VOLUME AND GROWTH
FIGURE 13: EXPORTS AND GROWTH
FIGURE 14: EXPORT PRICES AND GROWTH
FIGURE 15: MARKET SIZE AND GROWTH
FIGURE 16: PER CAPITA CONSUMPTION
FIGURE 17: IMPORTS AND GROWTH
FIGURE 18: IMPORT PRICES
FIGURE 19: PRODUCTION, IN PHYSICAL TERMS, 2007–2021
FIGURE 20: PRODUCTION, IN VALUE TERMS, 2007–2021
FIGURE 21: IMPORTS, IN PHYSICAL TERMS, 2007–2021
FIGURE 22: IMPORTS, IN VALUE TERMS, 2007–2021
FIGURE 23: IMPORTS, BY TYPE, 2021
FIGURE 25: IMPORTS, IN VALUE TERMS, BY TYPE, 2007–2021
FIGURE 26: IMPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2021
FIGURE 27: IMPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
FIGURE 28: IMPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021
FIGURE 29: IMPORT PRICES, BY COUNTRY, 2007–2021
FIGURE 30: IMPORT PRICES, BY TYPE, 2007–2021
FIGURE 31: EXPORTS, IN PHYSICAL TERMS, 2007–2021
FIGURE 32: EXPORTS, IN VALUE TERMS, 2007–2021
FIGURE 33: EXPORTS, BY TYPE, 2021
FIGURE 34: EXPORTS, IN PHYSICAL TERMS, BY TYPE, 2007–2021
FIGURE 35: EXPORTS, IN VALUE TERMS, BY TYPE, 2007–2021
FIGURE 36: EXPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2021
FIGURE 37: EXPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
FIGURE 38: EXPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021
FIGURE 39: EXPORT PRICES, BY COUNTRY, 2007–2021
FIGURE 40: EXPORT PRICES, BY TYPE, 2007–2021
1. Introduction
Making Data-Driven Decisions to Grow Your Business
1.1 Report Description
This report was generated automatically by the IndexBox AI Platform and presents asurvey of the palm oil market in Congo. Within it, you will find the latest data on markettrends, consumption, production and price developments, as well as the foreign trade (imports and exports). The forecast reveals the market perspectives through to 2030. Countries coverage: Congo
Product coverage:
HS 151110 - Vegetable oils; palm oil and its fractions, crude, not chemically modified
HS 151190 - Vegetable oils; palm oil and its fractions, other than crude, whether or not refined, but not chemically modified
Data coverage:
• Palm oil market volume and value;
• Per capita consumption;
• Forecast of the market dynamics in the medium term;
• Palm oil production;
• Palm oil trade (exports and imports);
• Export and import price for palm oil;
• Palm oil market trends, drivers and restraints;
• Key market players and their profiles.
1.2 Research Methodology and the AI platform
The AI-based platform, developed by IndexBox data scientists, constitutes the key working tool for our analysts, empowering them to discover deep insights from marketing data.
AI platform’s algorithm is based on the following steps:
1. Data collection
2. Data cleaning, categorization and normalization
3. Building predictive models to generate market analysis and forecasts
4. Data-driving decision making
1. Data Collection
A company-developed 'robot' is used at the data collection and processing stage; it receives the bulk of the data from a variety of sources that provide official statistical information, such as the UN, the World Bank, industry association sites and commercial databases which contain company data. However, over a third of the data from these sources has to be discarded due to its inherent unreliability: even data from the most reliable of sources frequently contains distortions and omissions.
2. Data Cleaning, Categorization and Normalization
At the second stage, the company's AI platform eliminates any data anomalies and omissions using the 'smart' system of mathematical and statistical tools developed by our experts, in combination principles of machine learning. As a rule, the official world trade data presents the most problems. If necessary, the 'robot' calculates the mirror data for each value, processing in total over 1 million data values for each trade code. In addition, the script completes any mid-series gaps or omissions using an average value, the average rates of growth and the construction of a regression model. In some cases, a regression model is used to extrapolate the data series.
The auxiliary indicators are then calculated and their initial values are evaluated and assessed for accuracy. This is achieved by calculating the confidence intervals using standard deviation and percentiles. Should the value appear as an anomaly, then the program repeats the entire recovery cycle and recalculates the values, depending on the figures that have been changed. It then performs the preparatory calculations and
Using the 'robot', therefore, we are able to source and eliminate problematic places even in the data obtained from official sources, data which other analysts have to consider as reliable. At the same time, our analysts carefully check the results, the necessary corrections are made and the program 'remembers' these changes – by using machine learning, therefore, its accuracy is constantly increasing.
3. Building Predictive Models to Generate Market Analysis and Forecasts
The use of AI and data science makes it feasible for the analysts to exploit their skills and experience to a much greater extent. Using data mining principles, it is possible to check and mutually compare the many factors that determine the dynamics of the market indicators; this allows the analysts to construct multifactor models, thereby generating market analysis and forecasts. During this process, over 50 external factors are checked (from the standard of living to the weather conditions) to assess their impact on the market indicators and to obtain the most reasonable market forecast. Moreover, to provide a full understanding of the trends of the market, this report provides a trend analysis, taking into account recent events in the product market, as well as in adjacent and related markets, the raw material markets and industries, which are the main demand creators for the product in question under the research analysis process.
4. Data-Driving Decision Making
The use of the artificial intelligence platform makes it possible to find actionable insights and generate data-driven decisions for growing your business. The advantage of these solutions lies in the fact that they are based on hard and reliable data, obtained during the multi-cycle processes of the AI platform, which is constantly being updated and improved.
1.3 Data-Driven Decisions for Your Business
How Our Data Can Help You to Grow Your Business?
In our reports, you can find information that helps you to make informed decisions on the following issues
1. How to diversify your business and benefit from new market opportunities
2. How to load your idle production capacity
3. How to boost your sales on overseas markets
4. How to increase your profit margins
5. How to make your supply chain more sustainable
6. How to reduce your production and supply chain costs
7. How to outsource production to other countries
8. How to prepare your business for global expansion
Whom Our Reports Designed For?
Producers
Looking for new profitable markets and products, diversifying production, trying to reduce costs and establishing sustainable supply chain
Distributors and Wholesalers
Searching for new profitable markets and suppliers, trying to reduce supply chain costs, as well as developing own production facilities
Investors
Interesting in starting new investment projects, as well as controlling ongoing ones.
Consultants and advisors
Conducting marketing research and developing marketing and sales strategies, as well as conducting feasibility studies of investment projects for clients
3. Market Overview
Understanding the Current State and Prospects of the Market
3.1 Market Size
In 2021, consumption of palm oil decreased by XX% to XXK tonnes for the first time since 2018, thus ending a two-year rising trend. Overall, consumption, however, saw a tangible increase. Palm oil consumption peaked at XXK tonnes in 2020, and then declined in the following year.
The value of the palm oil market in Congo contracted to $XXM in 2021, falling by XX% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Overall, consumption, however, enjoyed notable growth. Over the period under review, the market hit record highs at $XXM in 2020, and then shrank in the following year.
3.2 Market Structure
This section serves to demonstrate palm oil market entry opportunities for foreign exporters. Driven by a growing demand, the share of imports in total supply in Congo increased significantly over the last fourteen-year period (from XX% to XX%)
3.3 Trade Balance
Congo remains a net importer of palm oil; in physical and value terms, imports consistently exceeded exports from 2007 to 2021. In 2021, there was a significant trade deficit of XXK tonnes, which was equal to $XXM. This tangible trade deficit reflects the fact that the market remains dependent on imports, which is likely to continue in the medium term.
3.4 Per Capita Consumption
In 2021, per capita palm oil consumption in Congo was estimated at XX kg per person. Over the analyzed period, per capita consumption ranged in the interval from XX kg per person in 2008 to XX kg per person in 2020. In value terms, per capita palm oil consumption in Congo showed mixed trend pattern, finally rising from $XX in 2007 to $XX in 2021.
3.5 Market Forecast to 2030
Driven by increasing demand for palm oil in Congo, the market is expected to continue an upward consumption trend over the next decade. Market performance is forecast to retain its current trend pattern, expanding with an anticipated CAGR of XX% for the period from 2021 to 2030, which is projected to bring the market volume to XXK tonnes by the end of 2030.
Table of Contents
1. INTRODUCTION
MAKING DATA-DRIVEN DECISIONS TO GROW YOUR BUSINESS
1.1 REPORT DESCRIPTION
1.2 RESEARCH METHODOLOGY AND THE AI PLATFORM
1.3 DATA-DRIVEN DECISIONS FOR YOUR BUSINESS
1.4 GLOSSARY AND SPECIFIC TERMS
2. EXECUTIVE SUMMARY
GETTING A QUICK VIEW OF THE MARKET PERFORMANCE
2.1 KEY FINDINGS
3. MARKET OVERVIEW
UNDERSTANDING THE CURRENT STATE AND PROSPECTS OF THE MARKET
3.1 MARKET SIZE
3.2 MARKET STRUCTURE
3.3 TRADE BALANCE
3.4 PER CAPITA CONSUMPTION
3.5 MARKET FORECAST TO 2030
4. MOST PROMISING PRODUCTS FOR DIVERSIFICATION
FINDING NEW PRODUCTS TO DIVERSIFY YOUR BUSINESS
4.1 TOP PRODUCTS TO DIVERSIFY YOUR BUSINESS
4.2 BEST-SELLING PRODUCTS
4.3 MOST CONSUMED PRODUCT
4.4 MOST TRADED PRODUCT
4.5 MOST PROFITABLE PRODUCT FOR EXPORT
5. MOST PROMISING SUPPLYING COUNTRIES
CHOOSING THE BEST COUNTRIES TO ESTABLISH YOUR SUSTAINABLE SUPPLY CHAIN
5.1 TOP COUNTRIES TO SOURCE YOUR PRODUCT
5.2 TOP PRODUCING COUNTRIES
5.3 TOP EXPORTING COUNTRIES
5.4 LOW-COST EXPORTING COUNTRIES
6. MOST PROMISING OVERSEAS MARKETS
CHOOSING THE BEST COUNTRIES TO BOOST YOUR EXPORT
6.1 TOP OVERSEAS MARKETS FOR EXPORTING YOUR PRODUCT
6.2 TOP CONSUMING MARKETS
6.3 UNSATURATED MARKETS
6.4 TOP IMPORTING MARKETS
6.5 MOST PROFITABLE MARKETS
7. PRODUCTION
GETTING THE LATEST TRENDS AND INSIGHTS IN THE INDUSTRY
7.1 PRODUCTION VOLUME AND VALUE
8. IMPORTS
KNOWING THE LARGEST PALM OIL SUPPLIERS ON THE MARKET
8.1 IMPORTS FROM 2007–2021
8.2 IMPORTS BY TYPE
8.3 IMPORTS BY COUNTRY
8.4 IMPORT PRICES BY TYPE AND COUNTRY
9. EXPORTS
KNOWING THE LARGEST PALM OIL DESTINATIONS ON THE MARKET
9.1 EXPORTS FROM 2007–2021
9.2 EXPORTS BY TYPE
9.3 EXPORTS BY COUNTRY
9.4 EXPORT PRICES BY TYPE AND COUNTRY
10. TOP PRODUCERS OF PALM OIL IN CONGO
KNOWING THE LARGEST PRODUCERS IN THE COUNTRY
DISCLAIMERS
LIST OF TABLES
TABLE 1: KEY FINDINGS IN 2021
TABLE 2: MARKET VOLUME, IN PHYSICAL TERMS, 2007–2021
TABLE 3: MARKET VALUE, 2007–2021
TABLE 4: PER CAPITA CONSUMPTION, 2007–2021
TABLE 5: IMPORTS, IN PHYSICAL AND VALUE TERMS, BY TYPE, 2007–2021
TABLE 6: IMPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
TABLE 7: IMPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021 .
TABLE 8: IMPORT PRICES, BY COUNTRY, 2007–2021
TABLE 9: IMPORT PRICES, BY TYPE, 2007–2021
TABLE 10: EXPORTS, IN PHYSICAL AND VALUE TERMS, BY TYPE, 2007–2021
TABLE 11: EXPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
TABLE 12: EXPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021
TABLE 13: EXPORT PRICES, BY COUNTRY, 2007–2021
TABLE 14: EXPORT PRICES, BY TYPE, 2007–2021
LIST OF FIGURES
FIGURE 1: MARKET VOLUME, IN PHYSICAL TERMS, 2007–2021
FIGURE 2: MARKET VALUE, 2007–2021
FIGURE 3: PALM OIL MARKET STRUCTURE – DOMESTIC SUPPLY VS. IMPORTS, IN VALUE TERMS, 2007–2021
FIGURE 4: TRADE BALANCE, PALM OIL, IN PHYSICAL TERMS, 2007–2021
FIGURE 5: TRADE BALANCE, PALM OIL, IN VALUE TERMS, 2007–2021
FIGURE 6: PER CAPITA CONSUMPTION, 2007–2021
FIGURE 7: MARKET FORECAST TO 2030
FIGURE 8: VEGETABLE AND ANIMAL OILS AND FATS: MARKET SIZE AND GROWTH, BY TYPE
FIGURE 9: VEGETABLE AND ANIMAL OILS AND FATS: AVERAGE PER CAPITA CONSUMPTION, BY TYPE, 2021
FIGURE 10: VEGETABLE AND ANIMAL OILS AND FATS: EXPORTS AND GROWTH, BY TYPE
FIGURE 11: VEGETABLE AND ANIMAL OILS AND FATS: EXPORT PRICES AND GROWTH, BY TYPE
FIGURE 12: PRODUCTION VOLUME AND GROWTH
FIGURE 13: EXPORTS AND GROWTH
FIGURE 14: EXPORT PRICES AND GROWTH
FIGURE 15: MARKET SIZE AND GROWTH
FIGURE 16: PER CAPITA CONSUMPTION
FIGURE 17: IMPORTS AND GROWTH
FIGURE 18: IMPORT PRICES
FIGURE 19: PRODUCTION, IN PHYSICAL TERMS, 2007–2021
FIGURE 20: PRODUCTION, IN VALUE TERMS, 2007–2021
FIGURE 21: IMPORTS, IN PHYSICAL TERMS, 2007–2021
FIGURE 22: IMPORTS, IN VALUE TERMS, 2007–2021
FIGURE 23: IMPORTS, BY TYPE, 2021
FIGURE 25: IMPORTS, IN VALUE TERMS, BY TYPE, 2007–2021
FIGURE 26: IMPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2021
FIGURE 27: IMPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
FIGURE 28: IMPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021
FIGURE 29: IMPORT PRICES, BY COUNTRY, 2007–2021
FIGURE 30: IMPORT PRICES, BY TYPE, 2007–2021
FIGURE 31: EXPORTS, IN PHYSICAL TERMS, 2007–2021
FIGURE 32: EXPORTS, IN VALUE TERMS, 2007–2021
FIGURE 33: EXPORTS, BY TYPE, 2021
FIGURE 34: EXPORTS, IN PHYSICAL TERMS, BY TYPE, 2007–2021
FIGURE 35: EXPORTS, IN VALUE TERMS, BY TYPE, 2007–2021
FIGURE 36: EXPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2021
FIGURE 37: EXPORTS, IN PHYSICAL TERMS, BY COUNTRY, 2007–2021
FIGURE 38: EXPORTS, IN VALUE TERMS, BY COUNTRY, 2007–2021
FIGURE 39: EXPORT PRICES, BY COUNTRY, 2007–2021
FIGURE 40: EXPORT PRICES, BY TYPE, 2007–2021
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