Specific questions involve geographic or data structures that do not fit standard survey rules. These are called edge cases. When they occur, the AI explains the limitation and selects the closest valid alternative that matches the user’s intent. Understanding these exceptions helps users know why a specific result may differ from what they expected.
Geographies That Do Not Nest Cleanly
Some geographic units in Census data do not fit perfectly inside others. For example, census tracts may cross city boundaries, so a complete and official list of tracts for a city may not exist. When a user requests tracts for a city, the AI may provide a county-level alternative or clarify that the tract list cannot be generated exactly.
ZIP Codes are another example. They are designed for mail delivery and do not align with Census geography. ACS uses ZCTAs (ZIP Code Tabulation Areas), which approximate ZIP Code areas. If a user asks for data for a ZIP Code that does not match a ZCTA, the AI returns the closest available ZCTA or explains the mismatch.
Geographies Below Dataset Thresholds
ACS 1-Year estimates are available only for geographies with populations of 65,000 or more. If a user asks for a small town, rural county, census tract or block group using 1-Year data, the AI selects ACS 5-Year estimates instead. If no dataset includes that geography, the AI explains why the data cannot be returned.
Some non-ACS datasets also support only higher-level geographies (for example, state or county). When this happens, the AI provides information at the closest supported level.
Variables and Cross-Tabulations That Do Not Exist
Not all variables exist in all years or datasets. Some indicators are only available in ACS 5-Year tables, while others may never have been collected. Complex cross-tabulations for rare populations may be suppressed for privacy or reliability. When a user requests a variable that does not exist, the AI suggests alternatives or informs the user that the data is not available.
Time Periods That Are Not Compatible
Comparing different survey types or incompatible ACS years can produce misleading results. If a user tries to compare ACS 2010 1-Year with ACS 2020 5-Year, the AI chooses a consistent dataset or explains that the comparison cannot be made due to methodological differences. The AI always ensures that both sides of a comparison are statistically compatible.
Requests for Custom or Unofficial Geographies
Neighborhoods, school districts, campus areas and user-drawn shapes are not official Census geographies. Only certain specialized datasets support modeled or administrative boundaries. When no dataset includes these custom regions, the AI informs the user that the geography does not exist in official data sources.
Extremely Detailed or Sensitive Requests
Requests involving small populations or rare demographic combinations may not be available due to suppression rules that protect privacy. For example, a detailed profile of a specific age, race, and income group within a single tract may not be published. In such cases, the AI cannot generate an exact value and provides the closest valid alternative.
Why Edge Cases Matter
Edge cases highlight the boundaries of what official data can provide. By recognizing these exceptions, the AI maintains statistical accuracy, protects privacy, and ensures that every answer is grounded in valid data. When a request cannot be fulfilled exactly, the AI explains the limitation clearly and offers the best available option.