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 Office of Economic Impact and Diversity develops and executes Department-wide policies to implement applicable legislation and Executive Orders that strengthen diversity goals affecting equal employment opportunities, small and disadvantaged businesses, minority educational institutions, and historically underrepresented communities. Our mission is to identify and implement ways of ensuring that minorities are afforded an opportunity to participate fully in the energy programs of the Department. We encourage partnership opportunities with Minority Serving Institutions (Historically Black Colleges and Universities, Hispanic Serving Institutions, Asian American, Native American, and Pacific Islander Institutions, and Tribal Colleges and Universities) and other minority-owned and serving entities on our mission-critical work. We serve as a strong advocate for equal employment opportunities, civil rights concerns, and non-discriminatory practices at the Department. In addition, the Office of Economic Impact and Diversity is charged with creating and sustaining a high performing, inclusive workforce by leveraging diversity and empowering all employees to achieve superior results in the service of our Nation. Our office measures success in its effectiveness in aiding the disadvantaged in finding opportunities at the Department of Energy and in other Federal programs. Through extensive research and close partnerships, we have been able to specifically target barriers to minorities and execute strategies to overcome them. The Office of Economic Impact and Diversity is a model of how diversity positively impacts the Energy Department and provides a unique, cutting-edge quality to the Department.

Data was collected from the FRED website.

Contains economic indicators often associated with recessions along with recession status data. Data collected on smallest time unit and earliest time date available for each indicator which results in many nulls but increased flexibility for the users of this dataset.

• recession: "1" recessionary period, "0" non-recessionary period (Monthly)
• cpi: CPI (1982-1984=INDEX 100) (Monthly)
• gdp: Real GDP Billions of Chained 2017 Dollars (Quarterly)
• unemployment: Unemployment Rate (Monthly)
• m2: M2 Billions of Dollars (Monthly)
• fed_funds: Federal Funds Rate (Monthly)
• ten_two: 10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity (Monthly)
• residential: Real Residential Property Price Rate (Quarterly)

Comprehensive description of each variable can be found at https://fred.stlouisfed.org/

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

Name issue:

A minor naming issue, the dataset was originally just income data. While the dataset has been renamed, the link has not. This data is not just income data.

Context

This dataset was uploaded to determine a possible relation between economic status of counties, and COVID-19 cases in Maryland by-county. While the data is from only 2018, 2020 census data is not available until March, 2021. This data is built to analyze features in Maryland that concern quality of living.

Acknowledgements

These datasets come from https://commerce.maryland.gov/about/rankings-and-statistics/data-explorer. They were generated by the US Census Bureau in 2018.

Disclaimer: No infringement is intended in any way, sources are US Census Bureau, Maryland Department of Labor Licensing and Regulation, Comptroller of Maryland, and Maryland Association of Realtors. Licensing statement: (https://commerce.maryland.gov/commerce/privacy)

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The content of the this site or any other site, owned, operated, licensed, sponsored or controlled by the Maryland Department of Commerce comes from a variety of public and private information sources. Although effort has been made to provide complete and accurate information, the information should always be verified before it is used in any way. Maryland Commerce makes no warranty, express or implied, nor assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information from the service or links to other services. Any reference obtained from this site to a specific company, commercial product, process, or service does not constitute or imply an endorsement, recommendation, or favoring by Maryland Commerce of the company, commercial product, process, or service.

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This dataset represents a snapshot of the FRED catalog, captured on 2025-03-24.

What is FRED? As per the FRED website,

Short for Federal Reserve Economic Data, FRED is an online database consisting of hundreds of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data. In essence, FRED helps users tell their data stories. The purpose of this article is to guide the potential (or current) FRED user through the various aspects and tools of the database.

The FRED database is an abolute gold mine of economic data time series. Thousands of such series are published on the FRED website, organized by category and avialable for viewing and downloading. In fact, a number of these economic datasets have been uploaded to kaggle. With in the current notebook, however, we are not interested in the individual time series; rather, we are focused on catalog itself.

The FRED API has been used for gaining access to the catalog. The catalog consists of two files

• categories.csv - the heirarchy of categories used for organizing the time series
• series.csv - the list of avialable time series themselves

A given category is identified by a category_id. And, in a similar fashion, a given series is identified by a series_id. In a given category, one may find both a group of series and a set of sub-categories. As such every series record contains a category_id to identify the immediate category under which it is found category record contains a parent_id to indicate where in the category heirarchy it resides

The Board would use the FR 3076 to seek input from users or potential users of the Board's public website, social media, outreach, and communication responsibilities. The survey would be conducted with a diverse audience of consumers, banks, media, government, educators, and others to gather information about their visit to the Board's public website. Responses to the survey would be used to help improve the usability and offerings on the Board's public website and other online public communications. The frequency of the survey and content of the questions would vary as needs arise for feedback on different resources and from different audiences. The Board anticipates the FR 3076 may be conducted up to 12 times per year, although the survey may not be conducted that frequently. In addition, the Board anticipates conducting up to four focus group sessions per year.

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.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

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

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.)

The Survey of Household Economics and Decisionmaking (SHED) is conducted annually by the Federal Reserve Board. It measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans. Data available on the Federal Reserve System website goes back to 2013.

The Gross Domestic Product (GDP) in Norway was worth 483.73 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Norway represents 0.46 percent of the world economy. This dataset provides the latest reported value for - Norway GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Unemployment Rate in Lebanon County, PA was 3.40% in March of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Lebanon County, PA reached a record high of 4.70 in August of 2022 and a record low of 2.60 in November of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Lebanon County, PA - last updated from the United States Federal Reserve on December of 2025.

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).

This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

United States SB: ME: Outlook: FN: Develop Online Sales/Websites data was reported at 10.100 % in 11 Apr 2022. This records a decrease from the previous number of 10.300 % for 04 Apr 2022. United States SB: ME: Outlook: FN: Develop Online Sales/Websites data is updated weekly, averaging 10.000 % from Nov 2021 (Median) to 11 Apr 2022, with 16 observations. The data reached an all-time high of 13.400 % in 29 Nov 2021 and a record low of 7.600 % in 21 Feb 2022. United States SB: ME: Outlook: FN: Develop Online Sales/Websites data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

This website provides statistics on the economic value of visitors to the state of Virginia. The analysis is commissioned by the Virginia Tourism Corporation, and is conducted by Tourism Economics, LLC. The analysis is based on multiple data sources, including the US census, STR, Longwoods International, lodging and sales tax receipts, and employment and wage data from the Bureau of Economic Analysis and Bureau of Labor Statistics. By combining these datasets, a comprehensive view of visitor activity is developed that is consistent with official economic and industry data for the state. The analysis measures visitor spending by category, tourism employment, personal income, and taxes generated by visitor activity. The data are available for several years of history and can be viewed and downloaded at the state level.