Small Area Estimation for Key Health and Demographic Indicators from Household Surveys R package sae4health version 1.2.3 Enables small area estimation (SAE) of health and demographic indicators in low- and middle-income countries (LMICs). It powers an R 'shiny' application for generating subnational estimates and prevalence maps of 150+ binary indicators from Demographic and Health Surveys (DHS). It builds on the SAE analysis workflow from the 'surveyPrev' package. For documentation, visit <https://sae4health.stat.uw.edu/>. Methodological details can be found at Wu et al. (2025) <doi:10.48550/arXiv.2505.01467>. Software Depends: R (>= 4.3) Imports: config, dplyr, DT, ggplot2, golem (>= 0.4.1), grid, gridExtra, htmltools, htmlwidgets, leaflet, R6, sf, sp, shiny (>= 1.7.4), shinyBS, shinydashboard, shinyFeedback, shinyjs, shinyWidgets, SUMMER, surveyPrev, survey, geodata, bookdown, markdown, haven, ggridges, ggthemes, RColorBrewer, viridisLite, scales, patchwork, leaflegend, leafsync, methods, graphics, plotly, readr, sn Suggests: INLA, testthat (>= 3.0.0) Yunhan Wu <wu-thomas@outlook.com> Comprehensive R Archive Network (CRAN) Yunhan Wu [cre, aut], Qianyu Dong [aut], Zehang R Li [aut], Jon Wakefield [aut] AGPL-3 2025-05-07 application/tgz https://CRAN.R-project.org/package=sae4health doi:10.32614/CRAN.package.sae4health en-US