Setup | Option 1: Trade money for convenience | Option 2: Reduce extract size | Remove unused data | Select cases | Use a sampled subset of the data | Option 3: Process the data in pieces | Reading chunked data | Chunked tabulation | Chunked regression | Reading yielded data | Yielded tabulation | Yielded GLM regression | Option 4: Use a database | Importing data into the database | Connecting to a database with dbplyr | Learning more

API availability | Set up your API key | Define an extract request | Extract request objects | Submit an extract request | Wait for an extract request to complete | Download an extract | Get info on past extracts | Share an extract definition | Revise a previous extract request | Putting it all together

Obtaining IPUMS data | Obtaining data via an IPUMS project website | Downloading from microdata projects | Downloading from aggregate data projects | Obtaining data via the IPUMS API | Extract support | Metadata support | Workflow | Reading IPUMS data | Microdata files | NHGIS files | Spatial boundary files | Ancillary files | Exploring file metadata | Labelled values

Supported microdata collections | Basic IPUMS microdata concepts | IPUMS microdata metadata | Defining an IPUMS microdata extract request | Detailed variable specifications | Syntax | Case selections | Attached characteristics | Data quality flags | Monetary value adjustment | Time use variables | Data structure | Data file format | Next steps

Basic IPUMS aggregate data concepts | Metadata for aggregate data projects | Summary metadata | Detailed metadata | Defining an IPUMS aggregate data extract request | Basic extract definitions | Dataset specifications | Time series table specifications | Shapefile specifications | Invalid specifications | More complicated extract definitions | Data layout and file format | Next steps

IPUMS extract structure | Reading IPUMS microdata extracts | Hierarchical extracts | Reading IPUMS aggregate data extracts | Variable metadata | Handling multiple files | Reading spatial data | Harmonized vs. non-harmonized data

IPUMS variable metadata | Value labels | labelled vs. factor | Cautions regarding labelled variables | Prepping data with value labels | Convert labelled values to other data types | Create missing values based on value labels | Syntax for value label functions | Relabel values | Relabeling caveats | Remove unused value labels | Add new labels | Other resources