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Data Visualization / Web App

Why Expensive

An interactive data visualization exploring a decade of Google searches about the rising cost of living, revealing what people around the world are struggling to afford.

Sheet13
ClientGoogle News Lab
RoleLead Developer
Year2023
Overview

'Why Expensive' is an interactive data visualization created in collaboration with information designer Federica Fragapane, data analyst Pallavi Singhal, and Google Trends' Simon Rogers and Alberto Cairo. The project examines a decade of Google searches for 'why is … so expensive' across every country in the world, uncovering how the things people struggle to afford vary dramatically from place to place and over time.

The visualization tells a powerful story: in 2013, the top 'expensive' search in 61 countries was for appliances and technology. By 2023, food and drink had overtaken everything else, becoming the top search in 68 countries, a stark reflection of the global cost-of-living crisis. The project traces this shift year by year, showing how eggs, for example, went from being the top expensive search in just one country in 2015 to fifteen countries by 2023.

The experience is built as a scroll-driven narrative that guides users through global trends before opening into an interactive explorer where they can compare their own country's searches against the rest of the world. Every data point is drawn from real Google Trends data, translated from local languages into English and manually categorized into eight thematic groups: food and drink, appliances and technology, cars and transport, clothing, fuel, healthcare, housing, and education.

Process4 phases
  1. Research

    Data Collection & Analysis

    Worked with Pallavi Singhal and Google Trends to extract, translate, and categorize the top 'why is … so expensive' search for every country and year with available data.

  2. Design

    Visual Design

    Federica Fragapane designed the visual language: color-coded categories, global maps, and comparative charts that make complex multi-dimensional data immediately legible.

  3. Development

    Scroll-driven Narrative

    Built a scrollytelling engine that guides readers through the macro story, from global cost-of-living trends to the rise of food searches, before handing control to the user.

  4. Development

    Interactive Explorer

    Developed the country-level explorer allowing users to compare their own nation's top expensive searches against the rest of the world across all twelve years.

Metrics3 figures
01 · Countries
190+

Countries analyzed across every continent

02 · Years of data
12

A full decade of Google Trends data from 2012 to 2023

03 · Categories
8

Thematic groups from food & drink to education

Gallery3 figures
Fig. 01Why Expensive: global cost of living search trends
Fig. 02Why Expensive: category breakdown by country
Fig. 03Why Expensive: interactive country explorer