In October 2022, Money.pl was the leading website in the category of economics and law in Poland, with **** million users. Businessinsider.com.pl and o2.pl followed, with **** million and **** million users, respectively.

The Fuel Economy Label and CAFE Data asset contains measured summary fuel economy estimates and test data for light-duty vehicle manufacturers by model for certification as required under the Energy Policy and Conservation Act of 1975 (EPCA) and The Energy Independent Security Act of 2007 (EISA) to collect vehicle fuel economy estimates for the creation of Economy Labels and for the calculation of Corporate Average Fuel Economy (CAFE). Manufacturers submit data on an annual basis, or as needed to document vehicle model changes.The EPA performs targeted fuel economy confirmatory tests on approximately 15% of vehicles submitted for validation. Confirmatory data on vehicles is associated with its corresponding submission data to verify the accuracy of manufacturer submissions beyond standard business rules. Submitted data comes in XML format or as documents, with the majority of submissions being sent in XML, and includes descriptive information on the vehicle itself, fuel economy information, and the manufacturer's testing approach. This data may contain proprietary information (CBI) such as information on estimated sales or other data elements indicated by the submitter as confidential. CBI data is not publically available; however, within the EPA data can accessed under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Datasets are segmented by vehicle model/manufacturer and/or year with corresponding fuel economy, test, and certification data. Data assets are stored in EPA's Verify system.Coverage began in 1974 with early records being primarily paper documents which did not go through the same level of validation as primarily digital submissions which started in 2008. Early data is available to the public digitally starting from 1978, but more complete digital certification data is available starting in 2008. Fuel economy submission data prior to 2006 was calculated using an older formula; however, mechanisms exist to make this data comparable to current results.Fuel Economy Label and CAFE Data submission documents with metadata, certificate and summary decision information is utilized and made publically available through the EPA/DOE's Fuel Economy Guide Website (https://www.fueleconomy.gov/) as well as EPA's Smartway Program Website (https://www.epa.gov/smartway/) and Green Vehicle Guide Website (http://ofmpub.epa.gov/greenvehicles/Index.do;jsessionid=3F4QPhhYDYJxv1L3YLYxqh6J2CwL0GkxSSJTl2xgMTYPBKYS00vw!788633877) after it has been quality assured. Where summary data appears inaccurate, OTAQ returns the entries for review to their originator.

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

NOAA’s Office for Coastal Management generates the Economics: National Ocean Watch (ENOW) dataset. It features time-series data focused on economic sectors that are dependent on the oceans and Great Lakes. The dataset is available for counties, states, territories, regions, and the nation in a variety of formats.This web map feeds into a StoryMap, which explores the ENOW datasets for American Samoa, Guam, and the Northern Mariana Islands in depth.

A complete list of live websites using the Venezuelan Economic Indicators technology, compiled through global website indexing conducted by WebTechSurvey.

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.

Iran is a country locating in Middle east. Iran is located in a strategic region at the crossroads of Europe, Asia, and Africa. This has made it a major center of trade and commerce for centuries. Iran is also a member of the United Nations, the Non-Aligned Movement, and the Organization of Islamic Cooperation.

Despite its rich history, large population, and abundant economic potential, Iran is a lower-middle-income country (according to the World Bank). It has large reserves of raw materials, including oil, gas, and minerals, but unfortunately, it does not fully utilize these resources.

This dataset is all the data about Iran in the world bank website. Here is a summary:

Economic data(2022/23) - GDP (current US$): 463billion - GDPpercapita(currentUS): $5,211 - Inflation, GDP deflator (annual %): 31.5% - Oil rents (% of GDP): 25.6% - Gini index: 38.8 (2019)

Social data - Population, total: 88.5 million (2022) - Population growth (annual %): 1.1% (2022) - Net migration: 28,080 (2021) - Life expectancy at birth, total (years): 77 (2021) - Human Capital Index (HCI) (scale 0-1): 0.63 (2020)

Environmental data - CO2 emissions (metric tons per capita): 7.2 (2021) - Renewable energy consumption (% of total final energy consumption): 3.6% (2021) - Forest area (% of land area): 7.8% (2020)

You can access the data in this link. There is also lots of plots and other fun tools which you should try.

[World Bank notes] The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In Iran, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in Iran. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For Iran, this applies to 1972-2022. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.

It is noted that the reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For Iran, it is fiscal year based (fiscal year-end: March 20).

1.2.5f: Who is the tax authority (i.e. who has the authority to collect taxes and payments from extractive companies)?

Context

This dataset is created as part of Opportunity Insights' Economic Tracker, which you can access directly (and with a very nice user interface) at https://www.tracktherecovery.org. The objective of this data is to allow everyone to track the state of the US economy in "real time" - in other words, the data is made available almost as soon as it comes in, and thus there is very little lag between the dataset and the current date. Another interesting feature is that the dataset is very granular, meaning that it can inform you about the economy even at the county or city level, and in some cases with breakdowns by economic sector or by income bracket.

Content

In short, the data originates from big companies that offer payments services, or job web portals, etc - these companies share their usage data with Opportunity Insight (in a way that protects user privacy, as you can read in detail in OI's website) and they, in turn, match that data with what would correspond to official statistics. Thus, the dataset can be reasonably interpreted as being a sort of tracker for the economy, even though OI does not tap from the same multitude of sources like the official statistical agencies. Further information about the content, including the specific files, can be found at the README page below.

Acknowledgements

This dataset is fully attributed to Opportunity Insights, and it is their complete merit. If you use it, please make sure to cite it adequately, by pointing to their website (as above) and to the following paper: "How Did COVID-19 and Stabilization Policies Affect Spending and Employment? A New Real-Time Economic Tracker Based on Private Sector Data", by Raj Chetty, John Friedman, Nathaniel Hendren, Michael Stepner, and the Opportunity Insights Team. June 2020. Available at: https://opportunityinsights.org/wp-content/uploads/2020/05/tracker_paper.pdf

The U.S. Counties With the Highest GDP

How Much They Contribute to the National Economy

By Charlie Hutcheson [source]

About this dataset

This dataset contains data on the GDP of counties in the United States. The data is from the BEA.gov website and is for the year 2019. The columns in the dataset are: County FIPS, Region, SUB_REGION, State, STATE_ABBR, County Full Name, and GDP (Chained $)

How to use the dataset

The U.S. Counties With the Highest Economic Output is a dataset that contains data on the GDP of counties in the United States. This data can be used to determine which counties have the highest economic output and to compare the economic output of different counties

Research Ideas

-To see how the GDP affects the economy -To see how different states are doing in terms of GDP -To compare counties in different states

Acknowledgements

Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: GDP by County.csv | Column name | Description | |:---------------------|:---------------------------------------------------------------------| | Year | The year the data was collected. (Integer) | | County FIPS | The FIPS code for the county. (String) | | Region | The region the county is in. (String) | | SUB_REGION | The subregion the county is in. (String) | | State | The state the county is in. (String) | | STATE_ABBR | The two-letter abbreviation for the state the county is in. (String) | | County Full Name | The full name of the county. (String) | | GDP (Chained $) | The GDP of the county in chained dollars. (Float) |

Acknowledgements

If you use this dataset in your research, please credit Charlie Hutcheson.

The economics news website Boursorama.com topped the ranking as the most visited online economics and legal newspaper as of July 2024 in France, with a total number of visits exceeding ***** million visits. The websites LesEchos.fr and Capital.fr came in second and third positions, with around ** and ** million visits respectively in France in July 2024.

Question 1.1.1c: Is the data disclosed on extractive resource reserves machine-readable?, 1.1.1b: How up-to-date is the publicly disclosed data on extractive resource reserves?, 1.2.1b: How up-to-date is the publicly disclosed data on the volume of extractive resource production?, 1.2.1c: Is the data disclosed on the volume of extractive resource production machine-readable?, 1.2.2a: Does the government publicly disclose data on the value of extractive resource exports?, 1.2.2c: Is the data disclosed on the value of extractive resource exports machine-readable?, 1.2.2b: How up-to-date is the publicly disclosed data on the value of extractive resource exports?, 2.1.1d: Is the data contained in the online data portal available under an open license?, 2.1.1a: Does the government have an online data portal containing publicly available data on reserves, production and exports?, 2.1.1b: Does the online data portal contain the most recent publicly available data on reserves, production and exports?, 2.1.1c: Is the data contained in the online data portal machine-readable?

This dataset provides comprehensive insights into the digital transformation of various economic activities. It includes indicators covering a wide range of topics—from the contribution of the digital economy to GDP, to the extent of establishments’ use of online tools and platforms. Key measures include the percentage of establishments offering electronic services or using cloud computing, tracking how businesses receive and deliver orders electronically, and evaluating their presence and advertising activities on social media. Additionally, the dataset tracks after-sale support offered through company websites, highlighting the integration of digital services in customer care. By analyzing these indicators, policymakers, researchers, and industry leaders can assess the growth and impact of digital adoption on economic performance, enabling data-driven decisions for future development.Follow data.kapsarc.org for timely data to advance energy economics research.

Data - Macrotrends.net data on National economy and population

Collected through Screen Scraping

Original Data source available at the Link: https://www.macrotrends.net

economy.com is ranked #200389 in US with 49.21K Traffic. Categories: Banking. Learn more about website traffic, market share, and more!

The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and individual countries. The WEO dataset is released twice a year: April and September/October. Please fill out this online form for access to the confidential version--not for redistribution or transfer to any unauthorized third party. The public version is available on the IMF website.

The IMF's World Economic Outlook uses a "bottom-up" approach in producing its forecasts; that is, country teams within the IMF generate projections for individual countries. These are then aggregated, and through a series of iterations where the aggregates feed back into individual countries' forecasts, forecasts converge to the projections reported in the WEO.

Because forecasts are made by the individual country teams, the methodology can vary from country to country and series to series depending on many factors. To get more information on a specific country and series forecast, you may contact the country teams directly; from the Countries tab on the IMF website. (From: https://www.imf.org/en/Publications/WEO/frequently-asked-questions#:~:text=%2Ddatabase%2FDisclaimer.-,Q.,generate%20projections%20for%20individual%20countries.)

China Internet Service: Number of Website data was reported at 4.460 Unit mn in Dec 2024. This records an increase from the previous number of 3.910 Unit mn for Jun 2024. China Internet Service: Number of Website data is updated semiannually, averaging 2.939 Unit mn from Dec 2000 (Median) to Dec 2024, with 49 observations. The data reached an all-time high of 5.440 Unit mn in Jun 2018 and a record low of 0.243 Unit mn in Jun 2001. China Internet Service: Number of Website data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Number of Domain and Website.

Economic Development Web Map. Auto-generated by Grow your Local Economy Initiative, for Economic Development App (Business)

The Economic Development web map is used to author the Economic Development Experience Builder application. It displays the economic development districts, enterprise zones, industrial areas, economic development zones, Baton Rouge Airport property, and Louisiana Opportunity Zones data in East Baton Rouge Parish, Louisiana.

economy.ae is ranked #2127 in AE with 104.56K Traffic. Categories: . Learn more about website traffic, market share, and more!