Pedestrian and Cycle counter API for Dublin Region

Dublin City Council Creative Commons Attribution 4.0 · dataset listing last updated 2026-09-22T08:29:48.175634

Pedestrian counters outnumber cycling-only sensors by more than two to one across Dublin's monitoring network

Why this matters

Dublin City Council tracks walking and cycling patterns to improve infrastructure planning, and recent reports have called for improved data collection on cyclist injuries and safety. Accurate monitoring data helps councils allocate resources, measure the impact of new infrastructure, and identify gaps—making the balance between pedestrian and cycling sensors significant for evidence-based transport policy and investment decisions.

47 of the 131 sensors (36%) are dedicated to counting pedestrians only, compared to just 20 (15%) for cyclists only, with the remaining 19 (15%) tracking both user types
The network expanded significantly in 2019 and 2020, with 11 sensors installed in February 2019 (27th) and 9 in August 2020 (27th)
21.4% of longitude values are statistical outliers, suggesting the network extends well beyond Dublin's core urban area to cover a geographically diverse region
Over one-third of records (34.35%) have missing location and setup information, indicating incomplete metadata in the API

'Pedestrians' accounts for 36% of all User Type values (47 of 131).

View underlying data

Category	Value
Pedestrians	47
Cyclists	20
Pedestrians/Cyclists	19

28 of 131 Longitude values (21.4%) are statistical outliers (outside 1.5× IQR).

View underlying data

Statistic	Value
min	-6.422
median	-6.259
max	53.344
count	86

A caveat worth knowing: The dataset contains 34.35% incomplete records with missing location and user type data, and the publisher notes data quality issues with some sensors including Baggot Street Upper/Mespil Road/Bank

Source & method

Dataset on data.gov.ie: https://data.gov.ie/dataset/pedestrian-and-cycle-counter-api-for-dublin-region

API endpoint used: https://data.smartdublin.ie/dataset/666ac025-f0ba-47b3-ad12-63faf1b1d4d2/resource/f80d1ec3-e915-4ef0-988f-e3304b97dd37/download/ecocounter-locations.csv

Licence: Creative Commons Attribution 4.0

Selected automatically — interestingness score 65/100 (has a time dimension, multiple numeric fields, and/or a categorical breakdown; see the project's scoring method for details).

Published 2026-10-18T15:00:42.185566+00:00.

Generated automatically by Ireland Open Data Analyst — every quantitative claim above was checked against a computed value before publishing.