In Rwanda, Niger and Ethiopia, less than 10% of households have fridges.
This is one example of how women's domestic labour is so much more physically demanding.
The state does not provide infrastructure and people are too poor to buy market substitutes.
The U.S.–Israel–Iran confrontation directly threatens Ethiopia’s economic and energy security by exposing its heavy reliance on Gulf supply routes. Miftah Mohammed argues that disruptions in the Strait of Hormuz and Red Sea insecurity jeopardize Ethiopia’s fuel imports, trade connectivity, and macroeconomic stability.
However, he suggests Ethiopia can mitigate these risks through strategic hedging, energy diversification, and proactive diplomacy—leveraging BRICS+ and regional frameworks to secure maritime access and regional leadership.
Read more: https://t.co/OnkbW7Yb5O
Excellent discussion on the contribution of 🇬🇧 tax expertise to Ethiopia’s bold macroeconomic reform programme, which is already yielding impressive results for the benefit of the wider economy. Great leadership from @AliNigusie and @MoF_Ethiopia
📊 Too much global development data still lives in spreadsheets.
But modern analysis requires data acquisition as code.
Today I’m pleased to share that the unicefData R package is now available on CRAN, providing direct programmatic access to the UNICEF Data Warehouse.
Researchers, policymakers, and analysts can now retrieve 700+ internationally comparable indicators on children and women directly from R — enabling reproducible analytics, transparent workflows, and faster evidence generation.
Install
install.packages("unicefData")
Example
library(unicefData)
df <- unicefData(
indicator = "CME_MRY0T4",
countries = c("BRA","USA","IND"),
year = "2015:2023"
)
Why this matters
Reliable evidence depends not only on good data, but also on how easily that data can be accessed, reproduced, and reused.
The unicefData package helps bridge the gap between official statistics and modern data science workflows by enabling:
• Access to 700+ indicators across countries and years
• Integration with reproducible research pipelines
• Use of SDMX international statistical standards
• Consistent interfaces across R, Python, and Stata
Making official statistics more accessible, reproducible, and interoperable is an important step toward strengthening evidence for policies that improve outcomes for children.
📦 CRAN
https://t.co/F5odst3I3y
#OpenData #OfficialStatistics #RStats #DataForChildren #ReproducibleResearch
📢 Call for Abstracts – Drones2026
We are excited to invite you to submit your abstracts for Drones 2026 – Mapping the Knowledge, taking place in Barcelona, Spain, on 11–13 November 2026!
Abstract Submission Deadline: 14 July 2026