evidoria

← Back to browse

Good practice Imported

Sensor.Community — Stuttgart's €30 DIY Kit That Grew Into the World's Largest Citizen Air-Quality Network

Germany · Stuttgart · See the Germany profile · See the Stuttgart profile

Evidence: Descriptive / self-reported Top 39% 71/100 · Ask Evidence Copilot about this practice

Since 2015, OK Lab Stuttgart's open-source, ~€30 particulate-matter sensor kit has been rebuilt by volunteers into tens of thousands of live stations across dozens of countries — though independent lab tests find its accuracy solid for PM2.5 but weaker for coarser PM10 particles.

30 EUR
Approximate kit cost
~5,000
Early self-built kits
35,000+
Live stations worldwide (mid-2020s)
10–37 %
PM10 inter-unit error rate
9–24 %
PM2.5 inter-unit error rate
2.5 minutes
Map refresh interval

Details

Maturity
Established
Promoter
OK Lab Stuttgart / Open Knowledge Foundation Germany
Period
2015–present
Keywords
air quality, citizen science, open data, environmental monitoring, civic tech

Context

Sensor.Community (originally luftdaten.info) began in 2014-2015 when volunteers at Open Knowledge Lab Stuttgart, unable to obtain fine-grained particulate-matter data from the city, decided to build their own low-cost sensors, settling after a year of prototyping on the SDS011 particulate sensor packaged into an open-hardware kit costing roughly €30.

Activities

The kit is designed to be self-soldered and mounted on a windowsill, with all readings published as open data on a live map refreshed every 2.5 minutes; the design spread through direct replication by volunteers rather than institutional rollout.

Results

Early reports counted around 5,000 self-built kits concentrated in Germany, the Netherlands and Bulgaria; by the mid-2020s, third-party aggregator AQICN was tracking over 35,000 live Sensor.Community stations worldwide. Independent laboratory evaluation (Budde et al.) of the core SDS011 sensor found it performs well for fine PM2.5 particles but is markedly less reliable for coarser PM10, with inter-unit error rates as high as 10-37% for PM10 versus 9-24% for PM2.5.

Conclusions

The sensor's accuracy limitations restrict its use for regulatory-grade compliance monitoring, but the network still functions as a valuable indicator of relative local air-quality patterns and a training ground for civic-tech chapters worldwide.

Implementation

Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
volunteer community (OK Lab Stuttgart / Open Knowledge Foundation Germany and city chapters worldwide)

Conditions for success

  • a low-cost (~€30), open-hardware kit design that volunteers can self-solder
  • open publication of code/design and a live open-data map enabling independent replication

Common failure modes

  • inter-unit sensor accuracy limits use for regulatory-grade compliance monitoring, particularly for PM10
  • relies on volunteer maintenance without an institutional or government funding base

Where it fits

Governance type
volunteer-run open-source civic-tech network
Scale
global, city-chapter based
Income level
mixed (originated in high-income Germany, replicated worldwide)

Commonly funded by

Own resources / municipal budget Philanthropic / foundation funding

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

Do you run this practice? Claim it — verified implementers get a public contact pathway and can propose corrections.

Data sources

Where this practice's information was retrieved from, and when.

Similar practices you may find useful