External Debt in Mexico increased to 633750.90 USD Million in the second quarter of 2025 from 618661.90 USD Million in the first quarter of 2025. This dataset provides - Mexico External Debt - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset represents the international boundary between the United States of America and the United States of Mexico.This feature class is a digital representation of the international boundary between the United States and Mexico in accordance with the 1970 Treaty (Treaty to Resolve Pending Boundary Differences and Maintain the Rio Grande and Colorado River as the International Boundary). It has been generated from a combination of recent surveys and datum conversions. It is intended for mapping purposes only.

The GIS of Mexican States, Municipalities and Islands consists of attribute and boundary data for 1990. The attribute data include population, language, education, literacy, housing Units and land cover classification from the 1990 Mexican population and housing census. The boundary data associated with the United States-Mexico border are consistent with the U.S. Census Bureau TIGER95 data. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

About this dataset

Context

The dataset tabulates the Mexico 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 Mexico 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 2022, the population of Mexico was 1,567, a 0.00% decrease year-by-year from 2021. Previously, in 2021, Mexico population was 1,567, a decline of 0.38% compared to a population of 1,573 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Mexico decreased by 3. In this period, the peak population was 1,617 in the year 2010. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Mexico is shown in this column.
• Year on Year Change: This column displays the change in Mexico 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 Mexico Population by Year. You can refer the same here

This dataset represents the international land boundary monuments between the United States of America and the United States of Mexico.This feature class is a digital representation of the international land boundary monuments between the United States and Mexico in accordance with the 1970 Treaty (Treaty to Resolve Pending Boundary Differences and Maintain the Rio Grande and Colorado River as the International Boundary). It has been generated from a combination of recent surveys and datum conversions. It is intended for mapping purposes only.Degree Minute Seconds (DMS) coordinates and Decimal Degrees coordinates were calculated in the NAD83(CORS96) Epoch 2002 Coordinates system.

Time series data for the statistic Imports_Mexico_from_the_United_States. Indicator Definition:Goods, Value of Imports, Cost, Insurance, Freight (CIF), US DollarsThe indicator "Goods, Value of Imports, Cost, Insurance, Freight (CIF), US Dollars" stands at 21.80 Billion as of 5/31/2025. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -11.18 percent compared to the value the year prior.The 1 year change in percent is -11.18.The 3 year change in percent is -13.22.The 5 year change in percent is 166.89.The 10 year change in percent is 36.31.The Serie's long term average value is 12.46 Billion. It's latest available value, on 5/31/2025, is 75.00 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 4/30/1990, to it's latest available value, on 5/31/2025, is +1,287.56%.The Serie's change in percent from it's maximum value, on 6/30/2022, to it's latest available value, on 5/31/2025, is -18.53%.

Translated and Tidy dataset of official crime stats for the Country of Mexico.

Data Card for Mexican Crime Statistics Dataset

Title: Mexican Crime Statistics: Comprehensive Incident Dataset

Subtitle: An Extensive Compilation of Criminal Incidents in Mexico, Sourced from Official Government Data

Source: Official Mexican Government Website

Description: This dataset is a compilation of criminal incidents reported across Mexico. It includes detailed records of various criminal activities, offering insights into crime patterns and trends in different regions. The dataset is ideal for analysis in criminology, public policy, and data science.

• Dataset Description:

year: The year when the crime was reported. This is a numeric field representing the calendar year (e.g., 2015).

entity_code: A numeric code representing a specific entity (state or region) within Mexico. Each number corresponds to a unique entity.

entity: The name of the Mexican state or region where the crime occurred. This is a textual field (e.g., Aguascalientes).

affected_legal_good: A categorical field describing the broad category of the legal good (i.e., personal or societal interest) affected by the crime. Examples include 'Personal freedom' and 'Sexual freedom and security'.

type_of_crime: A categorical field indicating the general type of crime. This field is more specific than 'affected_legal_good' but less specific than 'subtype_of_crime'. Examples include 'Abduction', 'Sexual abuse', and 'Robbery'.

subtype_of_crime: A further categorization of the type of crime. This field provides more specific details within the general type of crime. Examples include 'Sexual Harassment', 'Simple Rape', and 'Home Burglary'.

modality: The specific nature or method of the crime. This field details how the crime was committed or any specific characteristic that differentiates it within its subtype. Examples include 'With violence', 'Without violence', 'Sexual Bullying'.

month: The month when the crime was reported. This is a textual field representing the month (e.g., January).

count: The number of reported incidents for the specific crime type, subtype, and modality in the given entity and month. This is a numeric field

• Dataset Composition:

Type of Data: Structured data, CSV format Number of Records: Shape (332416, 9) Date Range: 2015-2023 ( up to October) Nov - Dec not release yet

• Use Cases:

Intended Use: Research in criminology, public policy analysis, crime trend analysis Example Analyses: Crime rate trends over time, regional crime analysis, type of crime frequency analysis

• Data Collection Method:

Collection Process: Data aggregated from official crime reports and records maintained by the Mexican government Data Authenticity: Sourced from Gobierno de Mexico

• Data Quality:

Accuracy: Official - part of the Mexican Government's push for openness Completeness: Comprehensive coverage of reported incidents within the specified period Limitations: Possible underreporting or inconsistencies in crime reporting across regions. Nov 2023- Dec 2023 not release yet

• Maintenance Plan:

Update Frequency: Quarterly (or as new data becomes available)

Time series data for the statistic Imports_United_States_from_Mexico. Indicator Definition:Goods, Value of Imports, Cost, Insurance, Freight (CIF), US DollarsThe indicator "Goods, Value of Imports, Cost, Insurance, Freight (CIF), US Dollars" stands at 46.34 Billion as of 5/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 5.61 percent compared to the value the year prior.The 1 year change in percent is 5.61.The 3 year change in percent is 17.43.The 5 year change in percent is 211.91.The 10 year change in percent is 91.57.The Serie's long term average value is 17.91 Billion. It's latest available value, on 5/31/2025, is 158.70 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 4/30/1990, to it's latest available value, on 5/31/2025, is +1,973.38%.The Serie's change in percent from it's maximum value, on 3/31/2025, to it's latest available value, on 5/31/2025, is -3.42%.

The Gross Domestic Product per capita in Mexico was last recorded at 10313.49 US dollars in 2024. The GDP per Capita in Mexico is equivalent to 82 percent of the world's average. This dataset provides - Mexico GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about books. It has 1 row and is filtered where the book is Vanishing frontiers : the forces driving Mexico and the United States together. It features 7 columns including author, publication date, language, and book publisher.

Techsalerator's Corporate Actions Dataset in Mexico offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 144 companies traded on the Mexican Stock Exchange (XMEX).

‍

Top 5 used data fields in the Corporate Actions Dataset for Mexico:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

‍

Top 5 corporate actions in Mexico:

Trade Agreements and Foreign Investment: Mexico has been involved in trade agreements, such as the United States-Mexico-Canada Agreement (USMCA), which can lead to corporate actions such as increased foreign investment, expansions of multinational companies, and changes in supply chain dynamics.

Energy Sector Reforms: Corporate actions related to energy sector reforms, including privatization and deregulation, have the potential to reshape the oil, gas, and electricity industries in Mexico, attracting both domestic and international investment.

Infrastructure Projects: Corporate actions involving infrastructure development, such as new roads, airports, ports, and urban projects, play a pivotal role in improving connectivity and fostering economic growth.

Financial Services and Fintech: Corporate actions in the financial sector, such as mergers and acquisitions of banks and fintech startups, drive innovation in financial services and enhance Mexico's position as a financial hub in the region.

Automotive Manufacturing and Export: Corporate actions involving automotive manufacturing and export activities, including investments by major automakers and suppliers, impact Mexico's position as a significant player in the global automotive industry.

‍

Top 5 financial instruments with corporate action Data in Mexico

Mexico Stock Exchange (BMV) IPC Index: The main index that tracks the performance of the most traded companies listed on the Mexico Stock Exchange. This index reflects the performance of Mexico's largest publicly traded companies.

Mexico Stock Exchange (BMV) Foreign Company Index: An index that tracks the performance of foreign companies listed on the Mexico Stock Exchange, showcasing international participation in Mexico's stock market.

MegaMart Group: A Mexico-based supermarket chain with operations across different regions. MegaMart focuses on providing essential products to local communities and contributing to the retail sector's growth.

FinancieroMéxico Holdings: A financial services provider in Mexico with a focus on inclusive finance, digital banking, and innovative financial solutions to address diverse customer needs.

AgriTech Mexico: A leading producer and distributor of certified crop seeds, agricultural technology, and solutions, supporting sustainable farming practices and food security in Mexico and beyond.

‍

If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Mexico, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

‍

Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Mexico?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

How complete is the Corporate Actions Dat...

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.

This dataset is about book subjects. It has 4 rows and is filtered where the books is Cycles of conquest : the impact of Spain, Mexico, and the United States on the Indians of the Southwest, 1533-1960. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

About this dataset

Context

The dataset tabulates the Mexico Beach 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 Mexico Beach 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 2022, the population of Mexico Beach was 1,053, a 7.89% increase year-by-year from 2021. Previously, in 2021, Mexico Beach population was 976, an increase of 6.43% compared to a population of 917 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Mexico Beach increased by 43. In this period, the peak population was 1,296 in the year 2006. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Mexico Beach is shown in this column.
• Year on Year Change: This column displays the change in Mexico Beach 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 Mexico Beach Population by Year. You can refer the same here

Context

Mexico is in the Top 5 countries with more COV19 deaths. many patients are dying every day in the hospitals. But here's the thing:

How can we know what people are at greater risk of dying by COV19? and then what can we do with that information?

This dataset was collected by Mexican health authorities and contains all registers about COV19 patients by the time this dataset was downloaded (April, 2021).

Content

What's inside is data about the patients, and there are many things we can know about the patients such as where did they were hospitalized, in what state of Mexico, them age and the date of the death.

Also there are many interesting columns that tell us is the patient has a health issue apart from COVID19 and there's a long list about this issues such as obesity, hypertension, asthma, diabetes, ....

And there are other important features: if the patient smokes, if the patient was diagnosed with pneumonia or whether the patient was intubated.

Acknowledgements

We wouldn't be here without the help of others. This dataset was collected by the Mexican health authorities. Thanks to them we have this dataset today.

The dataset was downloaded from the government page

Inspiration

This dataset contains many data that could help us to answer many questions, for example:

• How probability of dying increase with the patient's age?
• How that probability increases if the patient has another health issue?
• How dying probability increases when the patient has been intubated?
• Is it true that smoking increases the probability of dying by COV19?
• In what state there are more deaths?

There are many other questions that you can answer.

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat). Additional grids for Hawaii and Puerto Rico were created for this data release. This vector dataset is the individual grid-based sampling grid for Mexico at a 1x1km resolution.

The Gross Domestic Product (GDP) in Mexico was worth 1852.72 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Mexico represents 1.75 percent of the world economy. This dataset provides - Mexico GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

U.S. Federal Oil & Gas Monthly Production & Disposition (2015–2025)

🌎 Project Overview

This dataset provides a comprehensive, cleaned, and analysis-ready record of the monthly production and disposition volumes of U.S. federal oil and natural gas resources from January 2015 through September 2025. Compiled from the authoritative OGOR-B reporting forms and curated by the U.S. Department of the Interior (DOI), Office of Natural Resources Revenue (ONRR), it reflects the official federal and Native American natural resource production data.

The dataset captures not only raw production volumes but also detailed disposition categories, which indicate how these resources are sold, measured, or allocated, making it a crucial resource for energy policy analysis, market forecasting, and sustainability research.

🌐 Context & Source Information

• Publisher: U.S. Department of the Interior – Office of Natural Resources Revenue (ONRR)
• Original Dataset: Monthly Production Disposition of U.S. Natural Resources Revenue (OGOR-B)
• Coverage: Federal lands, federal waters (Offshore regions: Alaska, Gulf of Mexico, Pacific), and Native American lands. Location data is intentionally withheld for Native American production to protect privacy and sovereignty.
• Temporal Scope: January 2015 – September 2025, monthly frequency.
• License: Creative Commons CCZero (CC0) – Public Domain. Anyone can use, modify, and distribute this data.
• Official Landing Page: ONRR Monthly Production Disposition Data

This dataset is a cornerstone for those researching U.S. energy economics, resource management, climate impact studies, and policy development.

📊 Data Dictionary

🛠️ Data Cleaning & Preprocessing

To ensure the dataset is analysis-ready, the following preprocessing steps were applied:

• Missing Value Handling:

  • State / County / FIPS Code: Missing values primarily correspond to offshore records and were logically filled with the label Offshore.
  • Offshore Region: Missing values indicate onshore records and were filled with the label Onshore.

• Data Standardization:

  • Standardized date formats for seamless time-series analysis.
  • Converted numerical volumes from string with commas to clean numeric types.

• Quality Assurance:

  • Verified consistency of commodity labels and disposition codes.
  • Confirmed monthly frequency across the 10-year time span.

These enhancements enable immediate use in machine learning pipelines, econometric models, and visual analytics without additional preprocessing.

🚀 Potential Use Cases

📊 Energy Economics & Market Forecasting

• Model long-term trends in U.S. oil and natural gas production.
• Correlate production with market prices or global economic indicators.
• Forecast supply-demand dynamics using ARIMA, Prophet, or LSTM models.

🌍 Environmental & Policy Research

• Quantify the environmental impact of onshore versus offshore production.
• Assess how federal production contributes to greenhouse gas emissions when combined with emissions datasets.
• Evaluate the effectiveness of U.S. energy policies and their evolution over a decade.

📈 Financial & Business Intelligence

• Integrate production volumes into energy sector investment models.
• Build revenue projections and budget impact analyses for federal and tribal authorities.
• Use disp...

The North American Roads dataset was compiled on October 27, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains geospatial information regarding major roadways in North America. The data set covers the 48 contiguous United States plus the District of Columbia, Alaska, Hawaii, Canada and Mexico. The nominal scale of the data set is 1:100,000. The data within the North American Roads layer is a compilation of data from Natural Resources Canada, USDOTâ s Federal Highway Administration, and the Mexican Transportation Institute. North American Roads is a digital single-line representation of major roads and highways for Canada, the United States, and Mexico with consistent definitions by road class, jurisdiction, lane counts, speed limits and surface type.