Connectors

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US Census

Data replication

Sync US Census data anywhere.

The U.S. Census Bureau takes the pulse of the country’s economy. Producing economic data monthly, quarterly, yearly, and at five-year intervals requires high-tech solutions. The U.S. Census Bureau, in response to this need, has built an its first ever iPhone application, aimed at providing users with important economic statistics quickly and easily directly from an iPhone: the America’s Economy application.

  • Standard
  • Alpha
Sync US Census dataRead the docs
US Census

One connector

Everything US Census can do in Airbyte

  • Sync to your warehouse

    Land US Census data in 50+ destinations on a schedule you control.

    Sync to your warehouse

    Land US Census data in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate US Census once and Airbyte keeps every scheduled sync running on it.

    One authorization

    Authenticate US Census once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the US Census connector on Cloud, Self-Managed Enterprise.

    Cloud or self-hosted

    Run the US Census connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync US Census

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.4.35
  • Release stageAlpha

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncNot supported
  • NamespacesNot supported
  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
  2. Scroll down until you find the "US Census" source connector and click on it.
  3. Click on the "Create Connection" button to begin setting up your connection to the US Census data source.
  4. In the "Connection Configuration" page, enter a name for your connection and provide your API key in the "API Key" field.
  5. Click on the "Test Connection" button to ensure that your credentials are correct and that the connection is working properly.
  6. Once the connection has been successfully tested, click on the "Create" button to save your connection settings.
  7. You can now use this connection to extract data from the US Census data source by creating a new pipeline and selecting the US Census source connector as your source.
  8. Follow the prompts to configure your pipeline and select the data you want to extract from the US Census data source.
  9. Once your pipeline is configured, you can run it to extract data from the US Census data source and load it into your destination data warehouse or data lake.

Authentication

Authenticate US Census once

  • Api key

    Your API Key. Get your key here.

    Api key

    Your API Key. Get your key here.

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Common questions

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ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

The US Census Bureau's API provides access to a wide range of data related to the United States population and economy. The following are the categories of data that can be accessed through the API:

1. Demographic data: This includes information on population size, age, gender, race, ethnicity, and household characteristics.
2. Economic data: This includes data on employment, income, poverty, and industry.
3. Housing data: This includes data on housing units, occupancy, and characteristics of housing units.
4. Education data: This includes data on educational attainment, enrollment, and school districts.
5. Geographic data: This includes data on boundaries, locations, and maps.
6. Health data: This includes data on health insurance coverage, disability, and healthcare facilities.
7. Transportation data: This includes data on commuting patterns, modes of transportation, and traffic.
8. Business data: This includes data on businesses, employment, and revenue.
9. Agriculture data: This includes data on crops, livestock, and farms.
10. International data: This includes data on international trade, migration, and foreign-born population.

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Scroll down until you find the "US Census" source connector and click on it.
3. Click on the "Create Connection" button to begin setting up your connection to the US Census data source.
4. In the "Connection Configuration" page, enter a name for your connection and provide your API key in the "API Key" field.
5. Click on the "Test Connection" button to ensure that your credentials are correct and that the connection is working properly.
6. Once the connection has been successfully tested, click on the "Create" button to save your connection settings.
7. You can now use this connection to extract data from the US Census data source by creating a new pipeline and selecting the US Census source connector as your source.
8. Follow the prompts to configure your pipeline and select the data you want to extract from the US Census data source.
9. Once your pipeline is configured, you can run it to extract data from the US Census data source and load it into your destination data warehouse or data lake.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving US Census data today

Free for 14 days on Airbyte Cloud. Set up the US Census connector once and let Airbyte keep it in sync.

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