The Gross Domestic Product (GDP) in the United States expanded 2.10 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - 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 tabulates the Economy population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Economy across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Economy was 8,962, a 0.18% decrease year-by-year from 2022. Previously, in 2022, Economy population was 8,978, a decline of 0.74% compared to a population of 9,045 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Economy decreased by 452. In this period, the peak population was 9,414 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Economy is shown in this column.
• Year on Year Change: This column displays the change in Economy population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Year. You can refer the same here

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Techsalerator’s Import/Export Trade Data for the United States

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

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com or visit Techsalerator 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 the United States 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 the U.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 the United States

• Trade Balance Dynamics: The U.S. trade balance fluctuates with major partners such as China, Canada, and Mexico. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships.
• U.S.-China Trade Relations: The trade relationship with China remains central, influenced by agreements and tariffs. This partnership shapes significant aspects of the U.S. trade policy and practices.
• Expansion of Global Trade Networks: The United States continues to diversify its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement.
• Growth in Technology Exports: The U.S. sees substantial trade in technology products, including electronics and software, 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 U.S. Trade Data

• Apple Inc.: A leading technology company involved in exporting electronics and importing components from various global suppliers.
• Boeing: A major aerospace manufacturer engaged in importing and exporting aircraft and aerospace products, impacting U.S. trade in the transportation sector.
• Cargill: A key player in agriculture, known for exporting and importing agricultural products, impacting the U.S. trade in commodities.
• Amazon: A significant e-commerce operator involved in the import and export of a wide range of goods, reflecting its role in the U.S. trade dynamics.
• General Motors: An important automotive manufacturer that engages in global trade of vehicles and automotive parts, highlighting the U.S. role in the automotive sector.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for the United States, 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 United States’ import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

The United States recorded a Government Debt to GDP of 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Recommended citation

Article citation will be added once the article is available.

Content

• Use of the dataset and full description
• Abstract
• Support
• Files included in the dataset
• Notes
• Data format description (columns)
• Data sources
• Changelog
• References

Use of the dataset and full description

Before using the dataset, please read this document and the article describing the methodology, especially the "Discussion and limitations" section.

The article will be referenced here as soon as it is published.

Please notify us (johannes.guetschow@pik-potsdam.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the RCP-SSP-dwn dataset. See the full citations in the References section further below.

Support

If you encounter possible errors or other things that should be noted or need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@pik-potsdam.de.

Abstract

This dataset provides country scenarios, downscaled from the RCP (Representative Concentration Pathways) and SSP (Shared Socio-Economic Pathways) scenario databases, using results from the SSP GDP (Gross Domestic Product) country model results as drivers for the downscaling process harmonized to and combined with up to date historical data.

Files included in the dataset

The repository comprises several datasets. Each dataset comes in a csv file. The file name is constructed from dataset properties as follows:

The "Source" flag indicates which input scenarios were used.

• PMRCP: RCP scenarios downscaled using the SSPs: emissions and socio-economic data; scenarios are available both harmonized to historical data and non-harmonized.
• PMSSP: Downscaled SSP IAM scenarios: emissions and socio-economic data; scenarios are available both harmonized to historical data and non-harmonized.

the "Bunkers" flag indicates if the input emissions scenarios have been corrected for emissions from international shipping and aviation (bunkers) before downscaling to country level or not. The flag is "B" for scenarios where emissions from bunkers have been removed before downscaling and "" (no flag) where they have not been removed.

The "Downscaling" flag indicates the downscaling technique used.

• IE: Convergence downscaling with exponential convergence of emissions intensities and convergence before transition to negative emissions.
• IC: Regional emission intensity growth rates for all countries.
• CS: Constant emission shares as a reference case independent of the socio-economic scenario.

All files contain data for all countries and variables. For detailed methodology descriptions we refer to the paper this dataset is a supplement to. A reference to the paper will be added as soon as it is published.

Finally the data description including detailed references is included: RCP-SSP-dwn_v1.0_data_description.pdf.

Notes

If you encounter problems with the size of the csv files please let us know, so we can find solutions for future releases of the data.

Data format description (columns)

"source"

For PMRCP files source values are

• RCPSSP
• PMRCP
• PMRCPMISC

For PMSSP files source values are

• SSPIAM
• PMSSP
• PMSSPMISC

For possible values of

"scenario"

For PMRCP files the scenarios have the format

For PMSSP files the scenarios have the format

Model codes in scenario names

• AIMCGE: AIM-CGE
• IMAGE: IMAGE
• GCAM4: GCAM
• MESGB: MESSAGE-GLOBIOM
• REMMP: REMIND-MAGPIE
• WITGB: WITCH-GLOBIOM

"country"

ISO 3166 three-letter country codes or custom codes for groups:

Additional "country" codes for country groups.

• EARTH: Aggregated emissions for all countries
• ANNEXI: Annex I Parties to the UNFCCC
• NONANNEXI: Non-Annex I Parties to the UNFCCC
• AOSIS: Alliance of Small Island States
• BASIC: BASIC countries (Brazil, South Africa, India and China)
• EU28: European Union (still including the UK)
• LDC: Least Developed Countries
• UMBRELLA: Umbrella Group

"category"

Category descriptions.

• IPCM0EL: Emissions: National Total excluding LULUCF
• ECO: Economical data
• DEMOGR: Demographical data

"entity"

Gases and gas baskets using global warming potentials (GWP) from either Second Assessment Report (SAR) or Fourth Assessment Report (AR4).

Gases / gas baskets and underlying global warming potentials

• CH4: Methane (CH₄)
• CO2: Carbon Dioxide (CO₂)
• N2O: Nitrous Oxide (N₂O)
• FGASES: Fluorinated Gases (SAR): HFCs, PFCs, SF₆, NF₃
• FGASESAR4: Fluorinated Gases (AR4): HFCs, PFCs, SF₆, NF₃
• KYOTOGHG: Kyoto greenhouse gases (SAR)
• KYOTOGHGAR4: Kyoto greenhouse gases (AR4)

"unit"

The following units are used:

• Million2011GKD: Million 2011 international dollars
• ThousandPers: Thousand persons
• kt: kilotonnes
• Mt: Megatonnes
• Gg: Gigagrams
• MtCO2eq: Megatonnes of CO₂ equivalents using the GWPs defined by "entity"
• GgCO2eq: Gigagrams of CO₂ equivalents using the GWPs defined by "entity"

Remaining columns

Years from 1850-2100.

Data Sources

The following data sources were used during the generation of this dataset:

Scenario data

• RCP scenarios website/data
• SSP basic elements website/data
• SSP IAM scenarios website/data
• SSP CMIP6 scenarios website/data

Historical data

• CDIAC data
• CEDS CMIP6 data paper/data
• EDGAR version 4.3.2: data, paper
• IMO GHG report report
• PRIMAP-hist v2.1 paper, <a

Synthetic Dataset Generation Market Outlook

According to our latest research, the Synthetic Dataset Generation market size was valued at $1.2 billion in 2024 and is projected to reach $8.7 billion by 2033, expanding at an impressive CAGR of 24.6% during 2024–2033. The primary driving force behind this global expansion is the escalating demand for high-quality, diverse, and bias-free datasets to fuel advanced artificial intelligence (AI) and machine learning (ML) models. As organizations across industries face increasing challenges in acquiring large-scale, annotated, and privacy-compliant real-world data, synthetic dataset generation has emerged as a transformative solution. This technology not only accelerates the development and deployment of AI systems but also addresses critical data privacy, security, and cost constraints, making it indispensable in today’s data-centric economy.

Regional Outlook

North America currently holds the largest share of the global synthetic dataset generation market, accounting for over 38% of the total market value in 2024. The region’s dominance is primarily attributed to its mature technology ecosystem, robust investment in AI research, and the early adoption of synthetic data solutions by leading enterprises and tech giants. The presence of major synthetic data vendors, a strong network of academic research institutions, and proactive regulatory guidance on data privacy have collectively accelerated market growth in North America. Furthermore, favorable government policies and funding initiatives aimed at advancing AI innovation continue to foster a thriving environment for synthetic dataset generation, particularly in sectors such as healthcare, finance, and autonomous vehicles.

Asia Pacific is the fastest-growing region in the synthetic dataset generation market, projected to register a remarkable CAGR of 29.3% from 2024 to 2033. This exceptional growth is driven by increasing digital transformation initiatives, rapid adoption of AI-powered solutions, and significant investments by both public and private sectors. Countries like China, Japan, South Korea, and India are aggressively expanding their AI capabilities, leading to a surge in demand for synthetic data to support machine learning and computer vision applications. The region is witnessing heightened interest from global technology vendors, who are establishing partnerships and R&D centers to tap into the burgeoning opportunities. The proliferation of smart devices, e-commerce, and fintech innovations further amplifies the need for scalable and secure synthetic datasets.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing synthetic dataset generation, though adoption remains at an early stage due to infrastructural and regulatory challenges. Localized demand is primarily concentrated in industries such as government, BFSI, and telecommunications, where data privacy and localization policies are stringent. While these regions hold significant potential for future growth, market expansion is currently restrained by limited technical expertise, slower digital infrastructure development, and the need for tailored synthetic data solutions that address unique regional requirements. Nonetheless, increasing awareness, pilot projects, and supportive policy reforms are expected to accelerate adoption in the coming years.

Report Scope

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Economy, IN, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Economy, IN reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Economy households based on income levels.

Key observations

• For Family Households: In Economy, the majority of family households, representing NA%, earn NA, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising NA%, have incomes falling NA, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Economy, the majority of non-family households, accounting for NA%, have income NA, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising NA%, earn NA, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Economy, IN (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Economy, IN
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Economy, IN
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Economy, IN

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 median household income. You can refer the same here

Techsalerator’s Import/Export Trade Data for Saudi Arabia

Techsalerator’s Import/Export Trade Data for Saudi Arabia offers a comprehensive overview of international trade activities involving Saudi companies. This dataset provides an in-depth analysis of trade transactions, documenting and categorizing imports and exports across various industries within Saudi Arabia.

To access Techsalerator’s Import/Export Trade Data for Saudi Arabia, please contact us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a tailored quote based on your data needs, with delivery available within 24 hours. Ongoing access options are also available.

Techsalerator's Import/Export Trade Data for Saudi Arabia delivers a thorough analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This detailed dataset helps businesses, investors, and trade analysts understand Saudi Arabia’s trade landscape comprehensively.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions, helping 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 Saudi Arabia

• Trade Balance Dynamics: Saudi Arabia’s trade balance is influenced by major partners like China, the United States, and the European Union. Ongoing trade agreements and policy adjustments aim to optimize trade flows and address imbalances.
• Oil Exports Dominance: Saudi Arabia remains a leading global exporter of oil, with crude oil and petroleum products playing a central role in its export economy.
• Diversification Efforts: There is a significant push towards diversifying Saudi Arabia’s economy and trade portfolio beyond oil, with increased focus on sectors such as technology, renewable energy, and pharmaceuticals.
• Belt and Road Initiative: Saudi Arabia's participation in China’s Belt and Road Initiative is enhancing trade and infrastructure links between the two countries, promoting regional connectivity and economic collaboration.
• Sustainability and Innovation: Saudi Arabia is increasingly integrating sustainability into its trade practices, focusing on environmentally friendly technologies and sustainable supply chains.

Notable Companies in Saudi Trade Data

• Saudi Aramco: The world’s largest oil company, involved in exporting crude oil and petroleum products, significantly impacting Saudi Arabia’s trade dynamics.
• SABIC: A global leader in petrochemicals, contributing to Saudi Arabia’s exports in chemicals and plastics.
• Al Rajhi Bank: Engaged in financial services and trade financing, supporting various trade transactions across industries.
• Saudi Arabian Airlines: The national carrier, facilitating the import and export of goods through air freight services, impacting Saudi Arabia’s trade in the transportation sector.
• Saudi Basic Industries Corporation (SABIC): A major player in the manufacturing and export of chemicals and plastics, reflecting Saudi Arabia’s industrial strength.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Saudi Arabia, 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 Saudi Arabia’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

Techsalerator’s Import/Export Trade Data for Sweden

Techsalerator’s Import/Export Trade Data for Sweden offers a comprehensive overview of international trade activities involving Swedish companies. This dataset provides a detailed analysis of trade transactions, documenting and categorizing imports and exports across various industries within Sweden.

To obtain Techsalerator’s Import/Export Trade Data for Sweden, 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 Sweden delivers an in-depth examination of trade activities, incorporating data from customs reports, trade agreements, and shipping records. This thorough dataset aids businesses, investors, and trade analysts in understanding Sweden’s trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies engaged 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, 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, assisting in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, providing 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 Sweden

• Trade Balance Dynamics: Sweden's trade balance shows significant interactions with major partners such as Germany and the United States. Ongoing trade agreements and economic policies aim to manage trade imbalances and foster balanced relationships.
• EU-Sweden Trade Relations: Sweden’s trade with the European Union remains central, influenced by agreements and regulations within the EU framework. This relationship impacts key aspects of Sweden’s trade policy and practices.
• Expansion of Global Trade Networks: Sweden is increasingly diversifying its trade partners and markets, reflecting a trend toward broader global trade engagement.
• Growth in Technology and Innovation Exports: Sweden continues to see substantial trade in high-tech products and innovative solutions, which play a significant role in its export economy.
• Focus on Sustainable Trade Practices: There is a growing emphasis on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies.

Notable Companies in Swedish Trade Data

• Volvo Group: A leading manufacturer involved in importing and exporting automotive and heavy machinery products, significantly impacting Sweden's trade.
• Ericsson: A major player in telecommunications, involved in importing and exporting technology and equipment, reflecting its crucial role in Sweden’s trade dynamics.
• Electrolux: A prominent appliance manufacturer engaged in international trade, contributing to Sweden's trade in consumer goods.
• IKEA: A global retailer with significant import and export activities, influencing Sweden’s trade in furniture and home goods.
• H&M: A major fashion retailer involved in importing and exporting apparel and accessories, impacting Sweden's trade in the fashion sector.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Sweden, 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 Sweden’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Inflation Rate in the United States increased to 3 percent in September from 2.90 percent in August of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Techsalerator’s Import/Export Trade Data for Iran

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

To access Techsalerator’s Import/Export Trade Data for Iran, 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 Iran delivers an in-depth analysis of trade activities by integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset assists businesses, investors, and trade analysts in understanding Iran’s trade landscape thoroughly.

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 Iran

• Trade Balance Dynamics: Iran’s trade balance experiences fluctuations with major partners such as China and the European Union. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships.
• China-Iran Trade Relations: The trade relationship with China is significant, influenced by agreements like the China-Iran Comprehensive Strategic Partnership. This partnership plays a central role in shaping Iran's trade policy and practices.
• Diversification of Trade Partners: Iran is increasingly expanding its trade partners and markets beyond traditional allies, reflecting a trend toward broader global trade engagement.
• Growth in Oil and Gas Exports: Iran continues to see substantial trade in oil and gas products, which are critical to its export economy.
• Focus on Economic Sanctions Impact: The impact of international sanctions on trade practices remains a significant factor, influencing Iran’s trade policies and international trade dynamics.

Notable Companies in Iranian Trade Data

• National Iranian Oil Company (NIOC): A major player in the oil sector, involved in exporting crude oil and petroleum products, which are central to Iran’s trade.
• Iran Air: The national carrier, engaged in importing and exporting goods through air freight services, contributing to Iran’s trade in the transportation sector.
• Parsian Oil and Gas Development Company: A key player in the energy sector, known for exporting and importing energy products, impacting Iran's energy trade.
• Mobinnet: A leading telecommunications company involved in importing and exporting telecom equipment and services, reflecting its significant role in Iran’s trade dynamics.
• Isfahan Steel Company: A major industrial entity that facilitates the import and export of various manufactured steel products, highlighting Iran’s role in regional trade.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Iran, 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 Iran’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Capacity Utilization in the United States remained unchanged at 77.40 percent in August. This dataset provides the latest reported value for - United States Capacity Utilization - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in the United States was last recorded at 4 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Challenger Job Cuts in the United States increased to 153074 Persons in October from 54064 Persons in September of 2025. This dataset provides the latest reported value for - United States Challenger Job Cuts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Corporate Profits in the United States increased to 3259.41 USD Billion in the second quarter of 2025 from 3252.44 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Techsalerator’s Import/Export Trade Data for Togo

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

To obtain Techsalerator’s Import/Export Trade Data for Togo, please reach out to info@techsalerator.com or visit Techsalerator Contact 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 Togo delivers a comprehensive analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This dataset helps businesses, investors, and trade analysts understand Togo’s trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions, helping 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 Togo

• Trade Balance Dynamics: Togo's trade balance fluctuates with major partners such as Ghana and Nigeria. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships.
• Regional Trade Relations: Togo’s trade relationships with neighboring West African countries remain central, influenced by agreements such as the West African Economic and Monetary Union (WAEMU) which shape significant aspects of Togo's trade policy and practices.
• Diversification of Trade Partners: Togo is increasingly diversifying its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement.
• Growth in Agricultural Exports: Togo continues to see substantial trade in agricultural products, including cocoa, coffee, and cotton, which play a critical role in its export economy.
• Focus on Infrastructure Development: There is a growing emphasis on improving trade infrastructure, including port facilities and transportation networks, to enhance trade efficiency and support economic growth.

Notable Companies in Togolese Trade Data

• Togo Telecom: A leading telecommunications company involved in importing and exporting telecom equipment and services.
• Coton Togo: A major player in the cotton industry, known for exporting cotton and related products, impacting Togo's agricultural trade.
• Port Authority of Lomé: Central to Togo’s trade activities, facilitating the import and export of goods through the Port of Lomé.
• Togo's Bank for Trade and Industry: Involved in facilitating trade financing and transactions, playing a significant role in Togo’s trade dynamics.
• SOTOKA (Société Togolaise de Coton): A key entity in the cotton sector, contributing to Togo’s export economy through cotton production and trade.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Togo, 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 Togo’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

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