Clayton County GA 311
Public data
Public service requests reported through Clayton County, Georgia's 311 system, as the county publishes them. Ingest delivers this data to a data warehouse you own as one table, and updates it on the schedule you choose. There is no code to write and nothing to install.
- 26,915service requests as of September 2026
- About 74new service requests a week
- 1 tableone row per service request
What people use it for
- Track how long requests take to closeCompare when a request is created and when it closes.
- See which requests run past their target timeCompare each request's due date against when it actually closed.
- Watch which requests get reopenedSee how often a closed request is reopened later.
What you get
| Table | Each row is |
|---|---|
Service requestsfeatureserver | One service request |
Good to know
Each run replaces the table with a fresh copy, so edits and removals at the source show up after the next run.
How it works
- Choose Clayton County GA 311. The data is public, so there is nothing to sign in to.
- Pick where it goes. BigQuery, Snowflake, Databricks, Redshift and 10 more, in an account you own.
- Pick a schedule. Daily is the default, and weekly and monthly are there too.
- Ingest runs it from then on. If a run fails, your dashboard shows which table and why.
Questions
- What does the Clayton County GA 311 data include?
- One table, service requests, with one row per service request.
- Do I need an account with Clayton County GA 311?
- No. The data is public, so there is nothing to sign up for and nothing to paste in.
- Which warehouses can Clayton County GA 311 data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- How fresh is the data?
- As fresh as your schedule: daily by default, or weekly or monthly. Schedules as often as every 15 minutes are on the Enterprise plan. Each run replaces the table with a fresh copy, so edits and removals at the source show up after the next run.
- Will running it again create duplicate rows?
- No. Each run replaces the table, so it never holds two copies of the same row.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
For your data team: technical reference
Connector claytoncountyga_311, version 0.1.0, a REST source, status beta, authentication none.
Vendor documentation: https://services8.arcgis.com/fz3KpsKgK9InMjh8/arcgis/rest/services/SeeClickFix_Requests_%5BPublic%5D_Clayton_County_GA/FeatureServer/0
Configuration
No configuration required.
Resources
| Resource | Status | Plan | Write | Primary key | Overrides |
|---|---|---|---|---|---|
featureserverFull snapshot of the current public Clayton County GA 311 request layer, measured at 26,915 rows via ArcGIS returnCountOnly. The layer's view definition restricts to organization_id = 1036 AND private = '0', so only public requests from that organization are exposed; private requests and other organizations are never included. Every run re-reads the whole public collection in 2,000-row pages ordered by OBJECTID and replaces the destination, so current edits are captured and requests that are no longer public are removed on the next full scan. This is a snapshot of the layer as published by Clayton County via SeeClickFix/ArcGIS — it is not a claim of complete request history, and the layer's geographic extent includes outliers beyond the county. Native ArcGIS Date fields (CreationDate, EditDate, created_at, acknowledged_at, closed_at, reopened_at, due_at, sla_expires_at) are carried as raw epoch-millisecond integers; the unit is milliseconds since the Unix epoch (UTC). | beta | full | replace | OBJECTID | - |
Where this lands, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for government teams: Abilene TX 311, Albany NY 311, Ann Arbor MI 311, Anne Arundel County MD 311, Auburn WA 311, Aurora IL 311.
- How Ingest reads a REST source
- Ingest for government teams
- The tables Ingest creates
- Every source Ingest connects
Get Clayton County GA 311 data into your warehouse
Last updated .