Intersectional Small Area Estimation from Survey and Census Data R package interSAE version 0.1.0 Implements design-aware, margin-constrained estimation of population indicators for geographic areas crossed with demographic subgroups. Complex-survey microdata supply outcomes and association information, while one or more aggregate census tables supply overlapping population margins. A generalized iterative proportional fitting engine reconstructs a coherent latent population table, and an augmented model-assisted estimator produces domain means, proportions, and totals for sampled and unsampled intersections. Tools diagnose non-identification, compute linear-programming sensitivity bounds, propagate sampling and model uncertainty with replicate-weight or multiplier bootstrap procedures, enforce structural zeros, and benchmark estimates to official totals. The framework extends calibration ideas from Deville and Sarndal (1992) <doi:10.1080/01621459.1992.10475217> and small area estimation ideas from Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>. Software Depends: R (>= 4.1.0) Imports: graphics, stats, utils Suggests: knitr, lpSolve, rmarkdown, testthat (>= 3.0.0) Leila Marvian Mashhad <leila.marveian@gmail.com> Comprehensive R Archive Network (CRAN) Leila Marvian Mashhad [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=interSAE/LICENSE) 2026-08-25 application/tgz https://CRAN.R-project.org/package=interSAE doi:10.32614/CRAN.package.interSAE