Resolve geography, periods and measure
District D-07, manufacturing employment and the two requested reporting periods are bound to controlled IDs.
Operational proof · Statistical analysis
The agent prepares a reproducible sector contribution analysis using compatible classifications and accepted reporting versions.
Live request
Which manufacturing sectors explain the employment decline in District D-07 between 2023-24 and 2025-26?
compare_industrial_periods + validate_aggregation_lineageReturned evidence
District D-072023-24 → 2025-2618,420 → 15,960 (-2,460)12,310 → 11,540 (-770)9,870 → 10,240 (+370)7,940 → 8,160 (+220)Unresolved submissions excluded and disclosedAgent workflow
District D-07, manufacturing employment and the two requested reporting periods are bound to controlled IDs.
The agent retrieves accepted observations, applicable classification metadata and unresolved-return exclusions for both periods.
Units, geography level and classification mapping pass compatibility checks; unresolved submissions are excluded and counted in the evidence note.
Textiles (-2,460) and fabricated metals (-770) are the largest negative contributors, partly offset by food products (+370) and machinery (+220).
The agent produces a reviewable table with calculation trace, exclusions and source references for the statistical officer.
Every sector value and derived change can be traced back to accepted version-qualified records used in the comparison.
Control boundary
Evidence artifact
Synthetic accepted-record comparison identifying sector contributions to manufacturing-employment change across two periods.
Primewayz industrial statistical intelligence