Government Revenues in Luxembourg increased to 41277.70 EUR Million in 2024 from 37433.70 EUR Million in 2023. This dataset provides - Luxembourg Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about countries per year in Luxembourg. It has 64 rows. It features 3 columns: country, and tax revenue.

This dataset is about companies in Luxembourg. It has 1,884 rows. It features 3 columns: revenue type, and tweets.

Households Debt in Luxembourg increased to 187.43 percent of gross income in 2023 from 182.50 percent in 2022. This dataset provides - Luxembourg Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about companies in Luxembourg. It has 1,884 rows. It features 3 columns: revenue type, and ESG score.

Time series data for the statistic Paying taxes: Total tax and contribution rate (% of profit) and country Luxembourg. Indicator Definition:The total tax and contribution rate measures the amount of taxes and mandatory contributions borne by the business in the second year of operation, expressed as a share of commercial pro?t. The total amount of taxes and contributions borne is the sum of all the different taxes and contributions payable after accounting for allowable deductions and exemptions. The taxes withheld (such as personal income tax) or collected by the company and remitted to the tax authorities (such as VAT, sales tax or goods and service tax) but not borne by the company are excluded.

The Personal Income Tax Rate in Luxembourg stands at 42 percent. This dataset provides - Luxembourg Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Comprehensive dataset of 211 Non-profit organizations in Luxembourg as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This data file includes the Inequality and Poverty Key Figures (as of March 2022), constructed for all Luxembourg Income Study (LIS) Study datasets in all waves. It includes multiple national-level measures: • on inequality measures: Gini, Atkinson coefficients, and percentile ratios • on relative poverty rates for various demographic groups • median and mean of disposable household income

This dataset is about companies in Luxembourg. It has 1,884 rows. It features 6 columns including city, country, employees, and employee type.

A cross-national data archive located in Luxembourg that contains two primary databases: the Luxembourg Income Study Database (LIS Database) includes income microdata from a large number of countries at multiple points in time. The newer Luxembourg Wealth Study Database(LWS Database) includes wealth microdata from a smaller selection of countries. Both databases include labor market and demographic data as well. Our mission is to enable, facilitate, promote, and conduct cross-national comparative research on socio-economic outcomes and on the institutional factors that shape those outcomes. Since its beginning in 1983, the LIS has grown into a cooperative research project with a membership that includes countries in Europe, North America, and Australia. The database now contains information for more than 30 countries with datasets that span up to three decades. The LIS databank has a total of over 140 datasets covering the period 1968 to 2005. The primary objectives of the LIS are as follows: * Test the feasibility for creating a database containing social and economic data collected in household surveys from different countries; * Provide a method which allows researchers to use the data under restrictions required by the countries providing the data; * Create a system that allows research requests to be received from and returned to users at remote locations; and * Promote comparative research on the social and economic status of various populations and subgroups in different countries. Data Availability: The dataset is accessed globally via electronic mail networks. Extensive documentation concerning technical aspects of the survey data, variables list, and the social institutions of income provision in member countries are also available to users through the project Website. * Dates of Study: 1968-present * Study Features: International * Sample Size: 30+ Countries Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00150

Time series data for the data Current Account and Its Components - Current USD, TTM for the country Luxembourg. The Current Account and Its Components The current account is a component of a country's balance of payments that records the transactions of goods, services, income, and current transfers between residents of the country and the rest of the world. It consists of four main components:

a. Trade in Goods Balance

b. Trade in Services Balance

c. Primary Income Balance

d. Secondary Income Balance

1. Trade in Goods Balance Definition: This includes the export and import of physical items such as machinery, food, clothing, etc.

Credit Example: A German car manufacturer exports cars to the United States (value of exported cars).

Debit Example: A German electronics retailer imports smartphones from South Korea (value of imported smartphones).

1. Trade in Services Balance Definition: This includes the export and import of services such as tourism, financial services, consulting, transportation, etc.

Credit Example: A German IT company provides software development services to a client in Japan (value of exported services).

Debit Example: A German tourist books a hotel room in France (value of imported tourism services).

1. Primary Income Balance Definition: This includes earnings from the provision of factors of production such as labor, financial assets, land, and natural resources. It covers income from interest, profits, and dividends.

Credit Example: A German investor receives dividends from shares held in a U.S. company (value of received dividends).

Debit Example: Foreign investors receive interest payments on bonds issued by a German company (value of interest payments).

1. Secondary Income Balance Definition: This includes current transfers such as foreign aid, remittances, and other one-way payments that do not involve an exchange of goods or services.

Credit Example: Remittances sent by German residents working abroad to their families in Germany (value of received remittances).

Debit Example: Germany sends humanitarian aid to a developing country (value of sent aid). Trade in Goods Balance (USD)The indicator "Trade in Goods Balance (USD)" stands at 1.08 Billion United States Dollars as of 3/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -0.238 Billion United States Dollars compared to the value the year prior.The 1 year change is -0.238 Billion United States Dollars.The 3 year change is 3.65 Billion United States Dollars.The 5 year change is -0.432 Billion United States Dollars.The 10 year change is -1.62 Billion United States Dollars.The Serie's long term average value is -0.619 Billion United States Dollars. It's latest available value, on 3/31/2025, is 1.70 Billion United States Dollars higher, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 9/30/2008, to it's latest available value, on 3/31/2025, is +5.52 Billion.The Serie's change in United States Dollars from it's maximum value, on 9/30/2018, to it's latest available value, on 3/31/2025, is -2.62 Billion.Secondary Income Balance (USD)The indicator "Secondary Income Balance (USD)" stands at -0.3563 Billion United States Dollars as of 3/31/2025, the highest value since 6/30/2022. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.5823 Billion United States Dollars compared to the value the year prior.The 1 year change is 0.5823 Billion United States Dollars.The 3 year change is -0.047 Billion United States Dollars.The 5 year change is -0.1282 Billion United States Dollars.The 10 year change is -0.8045 Billion United States Dollars.The Serie's long term average value is -0.061 Billion United States Dollars. It's latest available value, on 3/31/2025, is -0.295 Billion United States Dollars lower, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 12/31/2023, to it's latest available value, on 3/31/2025, is +0.8008 Billion.The Serie's change in United States Dollars from it's maximum value, on 9/30/2016, to it's latest available value, on 3/31/2025, is -1.62 Billion.Primary Income Balance (USD)The indicator "Primary Income Balance (USD)" stands at -29.07 Billion United States Dollars as of 3/31/2025, the lowest value since 9/30/2022. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -2.14 Billion United States Dollars compared to the value the year prior.The 1 year change is -2.14 Billion United States Dollars.The 3 year change is -3.82 Billion United States Dollars.The 5 year change is -5.29 Billion United States Dollars.The 10 year change is -6.04 Billion United States Dollars.The Serie's long term average value is -17.49 Billion United States Dollars. It's latest available value, on 3/31/2025, is -11.59 ...

Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality datasets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. A custom missing-data algorithm was used to standardize the United Nations University's World Income Inequality Database and data from other sources; data collected by the Luxembourg Income Study served as the standard. The SWIID provides comparable Gini indices of gross and net income inequality for 192 countries for as many years as possible from 1960 to the present along with estimates of uncertainty in these statistics. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broadly cross-national research on income inequality than previously available sources: it offers coverage double that of the next largest income inequality dataset, and its record of comparability is three to eight times better than those of alternate datasets.

LIS is an independent non-profit institution that harmonises and provides two databases: the Luxembourg Income Study Database (LIS) and the Luxembourg Wealth Study Database (LWS). Its website offers prefabricated key figures on inequality and poverty and employment by gender based on the microdata included in the LIS databases.

This dataset is about companies in Luxembourg. It has 1,884 rows. It features 3 columns: employee type, and revenues.

The Leiden LIS Sectoral Income Inequality Dataset provides information on multiple indicators of earnings inequality and employment within 9 economic sectors and 12 subsectors for 12 developed countries for the period 1969-2005. The dataset is drawn upon microdata from the Luxembourg Income Study (LIS).

Is the Gini Coefficient Enough? A Microeconomic Data Decomposition StudyIvan Skliarov, Lukasz Goczek (2023).List of data files:1. theil_raw.csv - data obtained from LISSY using the lis_theil.R script.*2. scv_raw.csv - data obtained from LISSY using the scv_theil.R script.*3. hdi.csv - Human Development Index and its components.4. gini.csv - Gini coefficient from SWIID 9.4.5. wdi.csv - World Development Indicators from the World Bank.6. wgi.csv - World Governance Indicators from the World Bank.7. govcon.csv - government consumption (% of GDP) from UNCTAD.8. theil_fin.csv - final dataset (1, 3-7 combined), which is used in lis_analysis.do.9. scv_fin.csv - final dataset (2-7 combined), which is used in lis_analysis.do.10. indexes.csv - only within and between-cohort components of the Theil index and SCV with imputed values (see lis_analysis.do) for Georgia and Lithuania, which is used in lis_plot.R. * LISSY is the remote-execution system allowing access to the Luxembourg Income Study database: https://www.lisdatacenter.org/data-access/lissy/.For questions about this research please contact:Ivan Skliarov, MA: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, i.skliarov@student.uw.edu.pl.Lukasz Goczek, PhD: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, lgoczek@wne.uw.edu.pl.

Total-Revenue Time Series for T. Rowe Price Group Inc. T. Rowe Price Group, Inc. is a publicly owned investment manager. The firm provides its services to individuals, institutional investors, retirement plans, financial intermediaries, and institutions. It launches and manages equity and fixed income mutual funds. The firm invests in the public equity and fixed income markets across the globe. It employs fundamental and quantitative analysis with a bottom-up approach. The firm utilizes in-house and external research to make its investments. It employs socially responsible investing with a focus on environmental, social, and governance issues. It makes investment in late-stage venture capital transactions and usually invests between $3 million and $5 million. The firm was previously known as T. Rowe Group, Inc. and T. Rowe Price Associates, Inc. T. Rowe Price Group, Inc. was founded in 1937 and is based in Baltimore, Maryland, with additional offices in Colorado Springs, Colorado; Owings Mills, Maryland; San Francisco, California; New York, New York; Philadelphia, Pennsylvania; Tampa, Florida; Toronto, Ontario; Hellerup, Denmark; Amsterdam, The Netherlands; Luxembourg, Grand Duchy of Luxembourg; Zurich, Switzerland; Dubai, United Arab Emirates; London, United Kingdom; Sydney, New South Wales; Hong Kong; Tokyo, Japan; Singapore; Frankfurt, Shanghai, China; Germany, Madrid, Spain, Milan, Italy, Stockholm, Sweden, Melbourne, Australia, Amsterdam, Netherlands and Washington, DC.

This dataset is about companies in Luxembourg. It has 1,884 rows. It features 3 columns: revenues, and X link.

How widely are the benefits of economic growth shared in advanced societies? Do the rich capture the gains of growth, with little or no improvement in the living standards of the middle? Is growth raising the incomes of the poor so that they keep pace with the middle, or is the gap between rich and poor closing? Addressing these questions requires careful analysis of both the growth and distributional aspects of incomes. This article looks at the growth of disposable incomes – incomes after the redistribution through the state – over time. We rely on the Incomes across the Distribution Database put together by researchers Brian Nolan, Stefan Thewissen, and Max Roser. This data set is directly available for download: Data and data description. The data source for our database is the microdata published by the Luxembourg Income Study (LIS) Database. You can also access our database via the website of the LIS: Cross-National Data Center in Luxembourg.