Introduction | Core function: get_finance_data() | Basic usage | Dataset types: skinny vs. full | Finding variables | Multiple years and states | Downloads and caching | Working with the data | Do high local revenue share districts end up with more total revenue? | How do revenue sources differ by urbanicity? | See also

Overview | Data Sources | Data Processing Methods | Data Processing Detail | NCES F-33 Survey Data | CCD Directory Data | SAIPE Poverty Estimates | ACS 5-Year Estimates | CPI | CWIFT (Comparable Wage Index for Teachers) | Census Gazetteer Files (District Land Area) | Joining Data | Revenue Adjustments | Exclusions | Data Notes and Cautions

Introduction | Understanding nominal vs. real dollars | How CPI adjustment works | Using the cpi_adj parameter | What gets adjusted | Working with the CPI index | Practical example: tracking real spending over time | Choosing a base year | Best practices | Technical notes | See also