📡 Data & IoT

Amman Smart Water Metering (Miyahuna/Itron NRW Reduction)

Miyahuna, the Jordan Water Company serving Amman and the Zarqa and Madaba provinces, has been rolling out Itron ultrasonic smart water meters since the mid-2010s to combat non-revenue water (NRW) — a critical issue given Jordan's severe water scarcity and intermittent supply. Per Itron's own announcements, an initial batch of ultrasonic meters was installed starting around 2015, and the program was expanded in 2018 with roughly 76,000 additional Intelis ultrasonic meters plus a three-year data-analytics services contract, with meters designed to withstand intermittent supply and detect leaks and tampering. Jordan Times separately reported that the meters are fitted with a recorder capable of detecting tampering attempts, aimed at limiting illegal connections and water loss.

Live 📅 since 2015

🤖 AI-generated summary of the sources below — how this works · 🔎 Last verified

Scale🗺️ Regional

📖 Terms in this entry: Non-revenue water (NRW) · Adaptive traffic signals · Digital twin

Sources

↗ Itron press release (22 March 2018)Confirms 2018 expansion of 76,000 ultrasonic meters, 3-year analytics contract, service area of 670,000+ customers
↗ Jordan Times — tamper-detection featureIndependent Jordanian press on the anti-tampering feature; direct fetch returned 403 during sourcing, re-verify before publishing
↗ Smart Energy International — original 2014 MOU coverageEstablishes the November 2014 MOU and initial 123,000-meter target; direct fetch returned 403, re-verify before publishing

This overview was generated with AI from the public sources listed above and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

📎 Cite this project

1001 Smart Cities (2026). “Amman Smart Water Metering (Miyahuna/Itron NRW Reduction)” — Amman, Jordan. The Smart City Atlas. https://1001smartcities.org/projects/amman-smart-water-metering/ (last verified 2026-08-02). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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