TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

Water provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water productivity, (3) water quality, and (4) water emissions. These cover state and national levels for roughly the years 2000 to 2015. The results illustrate broad aggregate trends as well as subnational or industry-level phenomena. Specifically, the accounts show that total U.S. water use declined by 22% from 2000 to 2015, continuing a national trend seen since 1980. Total water use fell in 44 states, though groundwater use increased in 21 states. Nationally, a larger percent of water use comes from groundwater than at any time since 1950. Reductions in water use, combined with economic growth, lead to increases in water productivity for the entire national economy (65%), mining (99%), and agriculture (68%), though substantial variation occurred among states. Surface-water quality trends for the years 2002 to 2012 were most evident at regional levels, and differ by water-quality constituent and region. Chloride, nitrate, and total dissolved solids levels in groundwater had more consistent and widespread water-quality declines nationally. This work provides a baseline of recent historical water resource trends and their value in the U.S., as well as roadmap for the completion of future accounts for water, a critical ecosystem service. Our work also aids in the interpretation of ecosystem accounts in the context of long-term trends in U.S. water resources.

United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...

About this dataset

Context

The dataset tabulates the population of Economy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Economy. The dataset can be utilized to understand the population distribution of Economy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Economy. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Economy.

Key observations

Largest age group (population): Male # 65-69 years (412) | Female # 60-64 years (490). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Economy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Economy is shown in the following column.
• Population (Female): The female population in the Economy is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Economy for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Gender. You can refer the same here

The Gross Domestic Product per capita in Togo was last recorded at 923.48 US dollars in 2024. The GDP per Capita in Togo is equivalent to 7 percent of the world's average. This dataset provides - Togo GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in Ghana was worth 82.83 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Ghana represents 0.08 percent of the world economy. This dataset provides the latest reported value for - Ghana GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product per capita in Georgia was last recorded at 6840.01 US dollars in 2024. The GDP per Capita in Georgia is equivalent to 54 percent of the world's average. This dataset provides - Georgia GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

We analyze whether--and, if so, how--Americans reacted to the escalation of the trade war between the United States and China in June 2018. To address this issue, we leverage surveys conducted in the U.S. during this phase of the economic clash. We find a significant reduction in support for Donald Trump and his trade policy immediately following the announcement of retaliatory tariffs by the Chinese government. Moreover, respondents’ economic concerns about the trade war were primarily sociotropic and only weakly related to personal pocketbook considerations or local exposure to Chinese retaliatory tariffs. We also find that the trade war's intensification was politically consequential, decreasing support for Republican candidates in the 2018 midterm elections. Our findings indicate that trade wars can be politically costly for incumbent politicians, even among voters who are not directly affected by retaliatory tariffs.

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

The Gross Domestic Product per capita In the Euro Area was last recorded at 38145.12 US dollars in 2024. The GDP per Capita In the Euro Area is equivalent to 302 percent of the world's average. This dataset provides the latest reported value for - Euro Area GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset illustrates the median household income in Yorkshire town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Yorkshire town decreased by $2,356 (4.75%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Yorkshire town median household income. You can refer the same here

United States Retail Sales: Book Stores data was reported at 1.320 USD bn in Aug 2018. This records an increase from the previous number of 661.000 USD mn for Jul 2018. United States Retail Sales: Book Stores data is updated monthly, averaging 1.022 USD bn from Jan 1992 (Median) to Aug 2018, with 320 observations. The data reached an all-time high of 2.425 USD bn in Aug 2008 and a record low of 523.000 USD mn in Apr 1992. United States Retail Sales: Book Stores data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H001: Retail Sales: By NAIC System.

Techsalerator’s Import/Export Trade Data for Liberia provides a thorough analysis of international trade involving Liberian companies. This dataset offers a detailed look at trade transactions, documenting and categorizing imports and exports across various industries within Liberia.

To access Techsalerator’s Import/Export Trade Data for Liberia, please contact us at info@techsalerator.com or visit Techsalerator Contact with your specific needs. We will provide a customized quote based on your requirements, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for Liberia integrates information from customs reports, trade agreements, and shipping records, providing businesses, investors, and trade analysts with a comprehensive understanding of Liberia’s trade landscape.

Key Data Fields

• Company Name: Identifies the companies involved in trade transactions, aiding in locating potential partners or competitors and tracking industry-specific trade patterns.
• Trade Volume: Details the quantity or value of goods traded, offering insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as raw materials or finished products, helping to understand market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, revealing regional trade relationships and market access.
• Transaction Date: Records the date of transactions, showcasing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in Liberia

• Commodity Exports: Liberia's trade is heavily influenced by the export of natural resources, including iron ore, rubber, and timber. These commodities are crucial to the country's trade balance.
• Agricultural Products: In addition to raw materials, Liberia is focusing on increasing exports of agricultural products like cocoa and coffee, aiming to boost the sector's contribution to the economy.
• Infrastructure Development: Recent investments in infrastructure, such as ports and roads, are enhancing Liberia’s trade capabilities and facilitating smoother trade operations.
• Regional Trade Integration: Liberia's membership in regional trade groups, such as the Economic Community of West African States (ECOWAS), influences its trade dynamics and relationships within West Africa.
• Emerging Trade Partners: There is a growing trend towards diversifying trade partnerships beyond traditional markets, including increasing trade with Asian and European countries.

Notable Companies in Liberian Trade Data

• ArcelorMittal Liberia: A key player in the iron ore industry, ArcelorMittal’s operations significantly impact Liberia’s export economy.
• Firestone Liberia: One of the world’s largest rubber producers, Firestone’s export of rubber is vital to Liberia’s trade activities.
• Liberia Petroleum Refining Company (LPRC): Involved in the import and distribution of petroleum products, LPRC plays a crucial role in Liberia’s energy trade.
• Liberia Agricultural Company (LAC): A major exporter of agricultural products, including palm oil and cocoa, contributing to Liberia’s efforts to diversify its export base.
• Bong Mines Company: Engaged in mining operations, particularly iron ore, and plays a significant role in Liberia’s trade economy.

Accessing Techsalerator’s Data

To access Techsalerator’s Import/Export Trade Data for Liberia, please reach out to us at info@techsalerator.com with your specific requirements. We will provide a tailored quote based on the number of data fields and records required, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

• Company Name
• Trade Volume
• Product Category
• Import/Export Country
• Transaction Date
• Shipping Details
• Customs Codes
• Trade Value

For detailed insights into Liberia’s import and export activities and trends, Techsalerator’s dataset is an essential resource for making informed and strategic decisions.

The Gross Domestic Product per capita in European Union was last recorded at 54290.99 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in European Union, when adjusted by Purchasing Power Parity is equivalent to 306 percent of the world's average. This dataset provides the latest reported value for - European Union GDP Per Capita Ppp - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Time series data for the statistic Real_GDP_Per_Capita_PPP_Constant_2017_USD and country Switzerland. Indicator Definition:GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.The statistic "Real GDP Per Capita PPP Constant 2017 USD" stands at 82,026.41 United States Dollars as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.3349 percent compared to the value the year prior.The 1 year change in percent is -0.3349.The 3 year change in percent is 1.27.The 5 year change in percent is 3.05.The 10 year change in percent is 7.66.The Serie's long term average value is 71,430.02 United States Dollars. It's latest available value, on 12/31/2024, is 14.83 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1993, to it's latest available value, on 12/31/2024, is +33.85%.The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -0.907%.

Source is Federal Reserve Bank of St. Louis. Retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/"NAME OF MEASURE" Column names are "Name of Measure" from FRED's catalog.

Group 1: Yield Curve Indicators These focus on the shape of the Treasury yield curve, comparing longer-term to shorter-term rates. They are primarily used to: Signal Economic Expectations: A normal curve (longer-term rates higher) suggests expectations of growth and possibly inflation. A flattening or inverted curve (short-term rates near or above long-term) could signal a potential slowdown or recession.

Group 2: Monetary Policy and Market Expectations These spreads look at the difference between Treasury yields and the Federal Funds Rate, the primary tool of monetary policy. They indicate: Market vs. Fed Outlook: Widening spreads could suggest the market expects faster rate hikes or higher long-term inflation than the Fed is signaling. Narrowing spreads could mean the opposite. Risk-Taking: When these spreads widen, it can be a sign of investors moving from safe Treasuries to riskier assets in search of yield.

Group 3: Credit Risk and Market Sentiment These spreads focus on corporate bond yields relative to Treasuries, highlighting the added compensation investors require for holding riskier corporate debt. They signal: Credit Conditions: Widening spreads suggest deteriorating credit conditions or lower risk tolerance among investors. Narrowing spreads suggest the opposite. Economic Confidence: Investors often demand higher premiums for corporate bonds during economic uncertainty, widening these spreads.

Group 4: Breakeven Inflation Rates The breakeven inflation rate represents a measure of expected inflation derived from 30-Year Treasury Constant Maturity Securities (BC_30YEAR) and 30-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_30YEAR). The latest value implies what market participants expect inflation to be in the next 30 years, on average.

Techsalerator’s Import/Export Trade Data for Czech Republic

Techsalerator’s Import/Export Trade Data for Czech Republic offers an extensive and detailed collection of information on international trade activities involving Czech companies. This dataset provides a thorough examination of trade transactions, documenting and classifying imports and exports across various industries within the Czech Republic.

To obtain Techsalerator’s Import/Export Trade Data for Czech Republic, please contact info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for Czech Republic delivers an in-depth analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset helps businesses, investors, and trade analysts understand the Czech Republic’s trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions. This information helps identify potential partners or competitors and track industry-specific trade patterns.
• Trade Volume: Details the quantity or value of goods traded, providing insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as raw materials or finished products, aiding in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, offering insights into regional trade relationships and market access.
• Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in Czech Republic

• Trade Balance Dynamics: The Czech Republic’s trade balance fluctuates with major partners such as Germany and Slovakia. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships.
• Germany-Czech Republic Trade Relations: The trade relationship with Germany remains central, influenced by agreements and economic ties that shape significant aspects of the Czech Republic's trade policy and practices.
• Expansion of Global Trade Networks: The Czech Republic is increasingly diversifying its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement.
• Growth in High-Tech Exports: The Czech Republic continues to see substantial trade in high-tech products, including machinery and electronics, which play a critical role in its export economy.
• Emphasis on Sustainable Trade Practices: There is a growing focus on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies.

Notable Companies in Czech Trade Data

• Skoda Auto: A leading automotive manufacturer involved in importing and exporting vehicles and automotive parts, contributing significantly to the Czech Republic’s trade in the automotive sector.
• CEZ Group: A major energy company known for exporting and importing energy products, impacting the Czech Republic's energy trade.
• Pilsner Urquell: A renowned brewery involved in exporting its products worldwide, reflecting the importance of the Czech Republic’s beverage industry in international trade.
• Honeywell: A major technology company involved in importing and exporting technology and equipment, reflecting its significant role in the Czech Republic’s trade dynamics.
• T-Mobile Czech Republic: A major telecom operator involved in importing technology and equipment, contributing to the country's telecommunications trade.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Czech Republic, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

• Company Name
• Trade Volume
• Product Category
• Import/Export Country
• Transaction Date
• Shipping Details
• Customs Codes
• Trade Value

For detailed insights into the Czech Republic’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Imports from Canada in the United States increased to 33395.17 USD Million in February from 33309.13 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports from Canada.

Techsalerator’s Import/Export Trade Data for Bosnia and Herzegovina

Techsalerator’s Import/Export Trade Data for Bosnia and Herzegovina offers a comprehensive and insightful collection of information on international trade activities involving Bosnian companies. This dataset provides a detailed examination of trade transactions, documenting and classifying imports and exports across various industries within Bosnia and Herzegovina.

To obtain Techsalerator’s Import/Export Trade Data for Bosnia and Herzegovina, please contact us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator’s Import/Export Trade Data for Bosnia and Herzegovina delivers a thorough analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset helps businesses, investors, and trade analysts understand Bosnia and Herzegovina’s trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions. This information helps identify potential partners or competitors and track industry-specific trade patterns.
• Trade Volume: Details the quantity or value of goods traded, providing insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as raw materials or finished products, aiding in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, offering insights into regional trade relationships and market access.
• Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in Bosnia and Herzegovina

• Trade Balance Dynamics: Bosnia and Herzegovina’s trade balance fluctuates with major partners such as the European Union and neighboring countries. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships.
• EU-Bosnia and Herzegovina Trade Relations: The trade relationship with the European Union is central, influenced by agreements like the Stabilization and Association Agreement (SAA). This partnership shapes significant aspects of Bosnia and Herzegovina's trade policy and practices.
• Expansion of Global Trade Networks: Bosnia and Herzegovina is increasingly diversifying its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement.
• Growth in Industrial Exports: Bosnia and Herzegovina continues to see substantial trade in industrial products, including machinery and automotive parts, which play a critical role in its export economy.
• Emphasis on Sustainable Trade Practices: There is a growing focus on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies.

Notable Companies in Bosnian Trade Data

• BH Telecom: A leading telecommunications company involved in importing and exporting telecom equipment and services.
• ASA Group: A major player in the automotive and industrial sectors, known for exporting and importing machinery and automotive parts.
• Energoinvest: A significant entity in the energy sector, impacting Bosnia and Herzegovina's trade in energy products.
• Fabrika Cementa: A major cement manufacturer involved in exporting construction materials, reflecting its significant role in Bosnia and Herzegovina’s trade dynamics.
• Sarajevo Brewery: A key player in the beverage sector, involved in importing raw materials and exporting finished products, highlighting Bosnia and Herzegovina’s role in regional trade.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Bosnia and Herzegovina, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

• Company Name
• Trade Volume
• Product Category
• Import/Export Country
• Transaction Date
• Shipping Details
• Customs Codes
• Trade Value

For detailed insights into Bosnia and Herzegovina’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

The Gross Domestic Product (GDP) in Fiji was worth 5.84 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Fiji represents 0.01 percent of the world economy. This dataset provides - Fiji GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.