Data Access Research Tool (DART)

DART is a powerful web-based interactive data visualization tool populated with various national indicators on income and wealth, across countries and over time, mainly based on the LIS harmonized Databases.
DART’s innovative feature is its richness of inequality measures disaggregated by different social strata.
With the launch of DART, LIS serves a broader base of users who will be able to create summaries of income/wealth indicators, tailored to their interests and needs.

DART has been made possible through a generous grant from the U.S. National Science Foundation.

DART Main Features

  • DART is designed to serve all kinds of users since it does not require any prior knowledge of statistical packages or coding skills.
  • Introducing visualization of data on income and wealth through different charting types (Trends, Scatter plots, Distributions, and Maps) for the main income/wealth aggregates and income/wealth indicators to be disaggregated by different characteristics, over time and for different countries.
  • The aggregated data used to generate the plotted graph(s) can be displayed in table format.
  • All the produced graphs/tables can be easily exported and downloaded in pdf, and excel formats respectively.
  • While retaining table-making option, DART provides beyond bi-variate cross-tabulations.
Access DART

Datasets’ Coverage

DART harnesses microdata from both the Luxembourg Income Study (LIS) and the Luxembourg Wealth Study (LWS) databases.

Aggregate, Indicators, and Decompositions

The main feature in DART is the ability to plot different indicators for a number of income/wealth main aggergates, that can be disaggregated by selected individual/household characteristics over time and for different income/wealth countries. DART provides different kinds of charts (Trends, Scatter plots, Distributions, and Maps), to serve the most common visualisation needs of the users.

Important: The household-level aggregates are decomposed by household level characteristics, while the individual-level aggregates are disaggregated by the individual-level characteristics.

View aggregates, indicators, and decompositions available in DART »

Types of Charts in DART

Four different types of charts are provided in DART:

  • Trends: trends are line charts that display the information of a selected indicator (for example the Gini coefficient) of a selected aggregate (for example disposable household income) over selected range of years for one or more country. The information can as well be disaggregated by different household/individual characteristics.
  • Scatter plots: scatter plots display the relationship (values) of two income/wealth indicators of two aggregates for a selected year (for example plotting the Gini coefficient of gross wages vs. the Gini Coefficient of disposable household income for 2013).
  • Distributions: DART provides two charts to display distributions; namely Lorenz curve and Density Function:
  • Lorenz Curve: Lorenz curve is the representation of the distribution of specific income/wealth aggregate, that can be disaggregated by different characteristics in specific year (for example Lorenz curve of disposable net worth decomposed by home ownership in 2013 for a number of countries).

    Density Function : Density Function is a graph determining the shape of distributions; the area under the density curve between two points corresponds to the probability that the variable falls between those two values. For estimation of probability density functions, kernel density estimation is applied.

  • Maps: Maps display geographic data of specific indicator on different income/wealth aggregates for a selected year (for example map chart of Gini index on disposable household income in 2008).

Important: for Scatter plots, Distributions, and Maps in case the selected year is not available for the selected country, DART visualises the information of the closest filled year of this country using +1,-1,+2,-2 algorithm.

Methodological Notes

For more information on the definitions and construction of DART aggregates, indicators, and decompositions,

View Methodological Notes here »

Visualisation of LIS Key Figures in DART

One of the main features of DART is allowing LIS users to obtain and visualise many of the LIS key figures. Moreover, these key figures can now be disaggregated by various decompositions.

For instance, to obtain the relative poverty rates for the children and the elderly, useres should decompose the relative poverty rate of the equivalised disposable household income by age groups.

LIS Key Figures can still be accessed here »

LIS’ rules for citation

Users of DART are required to cite the data source in their list of references. As suggested by the Chicago Manual of Style (15th edition, 2007) pp 753-754 (17.358), LIS requests that authors use the following format.