API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files

Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/technology/adoption-rates-technology/

├ AGENTS.md

https://datahub.io/technology/adoption-rates-technology/_r/-/AGENTS.md

├ README.md

https://datahub.io/technology/adoption-rates-technology/_r/-/README.md

├ TASK.md

https://datahub.io/technology/adoption-rates-technology/_r/-/TASK.md

├ data/adoption_rates.csv

https://datahub.io/technology/adoption-rates-technology/_r/-/data/adoption_rates.csv

├ data/adoption_rates_wide.csv

https://datahub.io/technology/adoption-rates-technology/_r/-/data/adoption_rates_wide.csv

└ datapackage.json

https://datahub.io/technology/adoption-rates-technology/_r/-/datapackage.json

Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.json— metadata & schema

https://datahub.io/technology/adoption-rates-technology/_r/-/datapackage.json

README.md— documentation

https://datahub.io/technology/adoption-rates-technology/_r/-/README.md

Typical Usage

1. Fetch datapackage.json to inspect schema and resources
2. Download data resources listed in datapackage.json
3. Read README.md for full context

Data Views

US Technology Adoption Over Time

Data Files

Explore with AI

US Technology Adoption Rates (Long Format)

Download

Download CSV

About

Last updated: 15 March 2026
Total rows: ...
Format: CSV
File size: 5.55 kB
License: Open Data Commons Public Domain Dedication and License v1.0

US Technology Adoption Rates (Wide Format)

Download

Download CSV

About

Last updated: 15 March 2026
Total rows: ...
Format: CSV
File size: 2.21 kB
License: Open Data Commons Public Domain Dedication and License v1.0

About this dataset

Task: Wrangle Technology Adoption Rates Dataset (da-jui)

You are wrangling a dataset of technology adoption rates over time for publication on DataHub under the technology publication.

Goal

Build data/adoption_rates.csv with US adoption rates for key technologies over time.

Schema

year,technology,adoption_pct
1920,radio,0.1

Fields:

year: integer year
technology: slug name (telephone, radio, television, personal-computer, internet, mobile-phone, smartphone)
adoption_pct: share of US households (or population) using the technology (0–100 scale)

Technologies to cover

Technology	Expected coverage
telephone	~1900–present
radio	~1920–present
television	~1950–present
personal-computer	~1980–present
internet	~1990–present
mobile-phone	~1990–present
smartphone	~2007–present

Sources

Our World in Data "Technology Adoption" page and underlying data: https://ourworldindata.org/technology-adoption
OWID GitHub data repo: https://github.com/owid/owid-datasets
US Census Historical Statistics: https://www.census.gov/library/publications/1975/compendia/hist_stats_colonial-1970.html
Pew Research Center (internet/mobile/smartphone)
ITU (mobile/internet)

Steps

Fetch OWID technology adoption data (check their GitHub or data API)
Filter to United States, key technologies listed above
Normalise to schema above
Write data/adoption_rates.csv
Update datapackage.json: set status to structured, add resource, add a line chart view
Write README.md — lead with the story: each technology wave is adopted faster than the last (telephone took ~80 years to reach saturation; smartphone took ~~10). No tilde (~~) characters.

Constraints

No tilde characters in README.md (breaks MDX rendering)
adoption_pct as 0–100 (percent, not decimal)
US only for consistency
Do NOT push — owner will push manually