QUESTION 01
Who connected, and when?
Compare how internet use expanded over twenty-five years. The source counts individuals using the Internet as a percentage of population—not subscriptions or internet speed.
METHOD / TIME-SERIES ANALYSIS
X.005 / ECONOMIC INTELLIGENCE / DATA LAB
Numbers don't
explain themselves.
Three investigations into digital adoption and income for the United States, Germany, Japan and Hungary, loaded live from the World Bank API. Interactive visuals and transparent methods, with SQL and Power Query files that reproduce an archived snapshot.
Loading live World Bank data…
QUESTION 02
Does income predict access?
Explore the cross-sectional relationship between GDP per capita (current US$) and internet adoption in a selected year. An association is not proof of causation.
METHOD / CROSS-COUNTRY SCATTER
Income versus digital reach
Country observations
QUESTION 03
Who closed the gap?
Rank gains in the share of individuals using the Internet between two selected years. The measured change is in percentage points, not percentage growth.
METHOD / COHORT & DELTA ANALYSIS
Change in internet use (percentage points)
Comparison table
DATA LINEAGE / TRANSPARENCY
Reproduce the work.
Source, not estimates
World Bank, World Development Indicators: IT.NET.USER.ZS and NY.GDP.PCAP.CD. Loaded live from the World Bank API for the United States, Germany, Japan and Hungary; the status line above shows the source's last-update date and the fetch date. Values can be revised by the publisher. An archived snapshot (retrieved 24 September 2026; 150 country–year records for Brazil, Canada, China, Germany, India and the United States) is kept for reproduction and as a fallback.
Methods you can inspect
The browser requests the World Bank API directly, computes every comparison locally, and does not impute missing values. SQL queries (SQLite) and Power Query M scripts reproduce the transformations on the archived snapshot, for later use in Power BI Desktop.
Scope and limitations
These are exploratory case studies, not peer-reviewed research. The four-country sample is illustrative, not representative. No completed Power BI Desktop report (.pbix) is claimed here.
NEXT / RESEARCH BACKLOG
Economic complexity is next.
The intended second data collection will use the Atlas of Economic Complexity's product-level trade tables and documented citation requirements; any World Economic Forum indicators will require separate version, methodology and licensing checks. Neither dataset has been silently mixed into these World Bank results.
Atlas data & citation instructions ↗︎