Project Sidewalk

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Project Sidewalk

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Map sidewalks. Help make your city accessible to everyone.

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Getting Started
Introduction
Metadata APIs
Cities Label Types Label Tags Street Types
Data APIs
Raw Labels Label Clusters Streets Sidewalk Presence Street Grade Regions Places Validations Validation Result Types Label Edits
Access Score APIs
AccessScore: Streets AccessScore: Intersections AccessScore: Regions AccessScore: Spotlight
Stat APIs
User Stats Overall Stats Overall Stats by Day Aggregate Stats Aggregate Stats by Day

Aggregate Stats by Day API

The Aggregate Stats by Day API provides a daily time series of label and validation activity summed across every Project Sidewalk deployment, broken down by label type and by whether the actor was a human user or an AI.

Each record covers one calendar day (US/Pacific time) and one label type. Label counts reflect labels created on that day; validation counts reflect validations completed on that day, filed under the label type the validator was judging. Counts from all configured city deployments are summed together. Days with no activity for a label type across any city are omitted.

For per-city daily data, see the Overall Stats by Day API. For a project-wide snapshot (not a time series), see the Aggregate Stats API.

Aggregate Stats by Day API Preview

Live preview of the most recent 90 days of activity summed across all Project Sidewalk deployments:

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Endpoint

Returns daily label and validation counts summed across all Project Sidewalk deployments.

GET /v3/api/aggregateStatsByDay

Examples

/v3/api/aggregateStatsByDay All-time aggregate data in JSON

/v3/api/aggregateStatsByDay?startDate=2025-01-01&endDate=2025-03-31 First quarter of 2025 in JSON

/v3/api/aggregateStatsByDay?filetype=csv All-time aggregate data as CSV

Query Parameters

ParameterTypeDefaultDescription
startDate string none Inclusive lower bound on the activity date in YYYY-MM-DD format (US/Pacific calendar date). If omitted, all data from the beginning of the earliest deployment is returned.
endDate string none Inclusive upper bound on the activity date in YYYY-MM-DD format. If omitted, data up to and including today is returned.
filterLowQuality boolean false If true, only include activity from users whose high_quality flag is set. Applied independently within each city schema before summing.
filetype string json Output format: json (default) or csv.

Response Format

Identical structure to the Overall Stats by Day response, with counts summed across all city deployments.

{
  "status": "OK",
  "data": [
    {
      "date": "2025-01-15",
      "label_type": "CurbRamp",
      "human_labels": 2340,
      "ai_labels": 0,
      "human_validations_agree": 1870,
      "human_validations_disagree": 280,
      "human_validations_unsure": 95,
      "ai_validations_agree": 0,
      "ai_validations_disagree": 0,
      "ai_validations_unsure": 0
    }
  ]
}

Response Fields

All fields are identical to the Overall Stats by Day API.

FieldTypeDescription
datestringCalendar date in YYYY-MM-DD format (US/Pacific time).
label_typestringLabel type name (e.g. CurbRamp, NoCurbRamp).
human_labelsintegerLabels placed by human users across all cities on this date.
ai_labelsintegerLabels placed by AI across all cities on this date.
human_validations_agreeintegerHuman agree validations across all cities on this date.
human_validations_disagreeintegerHuman disagree validations across all cities on this date.
human_validations_unsureintegerHuman unsure validations across all cities on this date.
ai_validations_agreeintegerAI agree validations across all cities on this date.
ai_validations_disagreeintegerAI disagree validations across all cities on this date.
ai_validations_unsureintegerAI unsure validations across all cities on this date.

Quick Download

Download the project-wide daily stats time series in your preferred format:

Terms of Use

If you use Project Sidewalk data in your research, please cite the following paper (awarded 🏆 Best Paper at CHI 2019):

Manaswi Saha, Michael Saugstad, Hanuma Teja Maddali, Aileen Zeng, Ryan Holland, Steven Bower, Aditya Dash, Sage Chen, Anthony Li, Kotaro Hara, and Jon Froehlich. 2019. Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 62, 1–14.

Contribute

Project Sidewalk is an open-source project created by the Makeability Lab and hosted on GitHub. We welcome your contributions! If you found a bug or have a feature request, please open an issue on GitHub.

You can also email us at sidewalk@cs.uw.edu

Project Sidewalk in Your City!

If you are interested in bringing Project Sidewalk to your city, please read our Wiki page.

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