diff --git a/apps/inc804/app.R b/apps/inc804/app.R
new file mode 100644
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--- /dev/null
+++ b/apps/inc804/app.R
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+library(shiny)
+library(shinydashboard)
+library(tidyverse)
+library(sf)
+library(mapview)
+library(leaflet)
+library(leafsync)
+
+# setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+pdxlisfr <- readRDS("data/pdxlisfr_2017.rds")
+
+data <- readRDS("data/low_income_sfr_2017.rds") 
+sf::st_crs(data) <- 4326
+
+choices2map <- names(data) %>% as.data.frame() %>% setNames("variable") %>%
+    filter(!(variable %in% c("GEOID", "TRACT", "geometry"))) %>% 
+    mutate(variable = as.character(variable)) %>% pull(variable)
+
+# Define UI for mapping application
+ui <- dashboardPage(skin = "black",
+                    dashboardHeader(title = "CHAS Data Explorer", titleWidth = "220"),
+                    
+                    dashboardSidebar(width = "220",
+                                     
+                                     div(style="padding: 15px 15px 15px 15px;", "This app allows you to map ", tags$a(href="https://www.huduser.gov/portal/datasets/cp.html","CHAS data"), " from HUD to determine the share of households that are considered ", tags$a(href="https://www.huduser.gov/portal/datasets/il.html","low-income"),"."),
+                                     
+                                     selectInput(inputId = 'user_var2map', 
+                                                 label = 'Select variable to map:', 
+                                                 selected = 'share_sfr_total_rent_sfr_li', 
+                                                 choices = choices2map),
+                                    
+                                     div(style="padding: 15px 15px 15px 15px;", "Source: HUD CHAS data from 2013-17 ACS 5-year estimates, Tables 18A, 18B and 18C. Prepared March 30, 2021 by Portland Bureau of Planning & Sustainability. Contact point: ", tags$a(href="mailto:nick.kobel@portlandoregon.gov","Nick Kobel"), ".")),
+                    dashboardBody(leafletOutput("map"))
+)
+
+
+
+# Define server logic required to map
+server <- function(input, output) {
+    
+    data2map <- reactive({
+        data %>% mutate(mapvar = !!sym(input$user_var2map))
+    })
+
+    output$map <- renderLeaflet({
+        mapView(x = data2map(), zcol = "mapvar", layer.name = input$user_var2map) %>%
+            .@map %>% leaflet::setView(-122.62, 45.54, zoom = 10)
+    })
+    
+}
+
+# Run the application 
+shinyApp(ui = ui, server = server)
+
diff --git a/apps/inc804/data/low_income_sfr_2017.rds b/apps/inc804/data/low_income_sfr_2017.rds
new file mode 100644
index 0000000..60001e2
Binary files /dev/null and b/apps/inc804/data/low_income_sfr_2017.rds differ
diff --git a/apps/inc804/data/pdxlisfr_2017.rds b/apps/inc804/data/pdxlisfr_2017.rds
new file mode 100644
index 0000000..b8225a1
Binary files /dev/null and b/apps/inc804/data/pdxlisfr_2017.rds differ
diff --git a/apps/inc804/li_homeowners_in_sfr.R b/apps/inc804/li_homeowners_in_sfr.R
new file mode 100644
index 0000000..a998899
--- /dev/null
+++ b/apps/inc804/li_homeowners_in_sfr.R
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+##### Load libraries, set working directory #####
+if(!require(pacman)){install.packages("pacman");library(pacman)}
+p_load(tidyverse, data.table, sf, mapview, tigris)
+options(tigris_use_cache = T); options(tigris_class = "sf"); options("scipen"=100, "digits"=4) # options(scipen = 999)
+
+# setwd(dirname(rstudioapi::getActiveDocumentContext()$path))
+
+source("N:/work/district_planning/Economic Development/NICK/projects/r/chasr/R/chasr_development_functions.R")
+
+
+# get_li_sfr_tenure('4159000', chas.plc.2015.t18a, chas.plc.2015.t18b, chas.plc.2015.t18c)
+
+chas.tct.t18a <- cleanup_chas_tract(read_csv('E:/data_files/CHAS/data/tract/2013thru2017-140-csv/140/Table18A.csv'))
+chas.tct.t18b <- cleanup_chas_tract(read_csv('E:/data_files/CHAS/data/tract/2013thru2017-140-csv/140/Table18B.csv'))
+chas.tct.t18c <- cleanup_chas_tract(read_csv('E:/data_files/CHAS/data/tract/2013thru2017-140-csv/140/Table18C.csv'))
+
+chas.plc.2015.t18a <- cleanup_chas_plc(read_csv('E:/data_files/CHAS/data/place/2013thru2017-160-csv/160/Table18A.csv'))
+chas.plc.2015.t18b <- cleanup_chas_plc(read_csv('E:/data_files/CHAS/data/place/2013thru2017-160-csv/160/Table18B.csv'))
+chas.plc.2015.t18c <- cleanup_chas_plc(read_csv('E:/data_files/CHAS/data/place/2013thru2017-160-csv/160/Table18C.csv'))
+
+msa_tracts <- chas.tct.t18a %>%
+  mutate(stcnty = paste0(st,cnty_plc)) %>%
+  filter(stcnty %in% c('41005', '41009', '41051', '41067', '41071', '53011', '53059')) %>%
+  pull(geoid2) 
+
+msa_tracts.sf <- rbind(tigris::tracts(state = "OR", cb = TRUE), tigris::tracts(state = "WA", cb = TRUE)) %>%
+  filter(substr(GEOID, 1, 5) %in% c('41005', '41009', '41051', '41067', '41071', '53011', '53059'))
+
+low_income_sfr <- msa_tracts %>%
+  map_df(get_li_sfr_tenure, chas_t18a = chas.tct.t18a, chas_t18b = chas.tct.t18b, chas_t18c = chas.tct.t18c) %>%
+  mutate(GEOID = msa_tracts,
+         total_hh = total_rent + total_own_outright + total_own_mortgage,
+         total_own_sfr_li = own_mortgage_sfr_li + own_outright_sfr_li,
+         total_rent_sfr_li = rent_sfr_li,
+         share_hh_total_own_sfr_li = round(total_own_sfr_li / total_hh * 100, 1),
+         share_sfr_total_own_sfr_li = round(total_own_sfr_li / sfr_total * 100, 1),
+         share_hh_total_rent_sfr_li = round(total_rent_sfr_li / total_hh * 100, 1),
+         share_sfr_total_rent_sfr_li = round(total_rent_sfr_li / sfr_total * 100, 1),) %>% 
+  select(GEOID, total_hh, sfr_total, total_own_sfr_li:share_sfr_total_rent_sfr_li)
+
+# msa_tracts.sf %>% 
+#   left_join(., low_income_sfr, by = "GEOID") %>% 
+#   select(GEOID, TRACT = NAME, total_hh:share_sfr_total_own_sfr_li) %>% 
+#   mapview(zcol = "share_sfr_total_own_sfr_li")
+
+pdxlisfr <- get_li_sfr_tenure('4159000', chas.plc.2015.t18a, chas.plc.2015.t18b, chas.plc.2015.t18c) %>%
+  mutate(GEOID = '4159000',
+         total_hh = total_rent + total_own_outright + total_own_mortgage,
+         total_own_sfr_li = own_mortgage_sfr_li + own_outright_sfr_li,
+         total_rent_sfr_li = rent_sfr_li,
+         share_hh_total_own_sfr_li = round(total_own_sfr_li / total_hh * 100, 1),
+         share_sfr_total_own_sfr_li = round(total_own_sfr_li / sfr_total * 100, 1),
+         share_hh_total_rent_sfr_li = round(total_rent_sfr_li / total_hh * 100, 1),
+         share_sfr_total_rent_sfr_li = round(total_rent_sfr_li / sfr_total * 100, 1),) %>% 
+  select(GEOID, total_hh, sfr_total, total_own_sfr_li:share_sfr_total_rent_sfr_li)
+
+saveRDS(pdxlisfr, "apps/inc804/data/pdxlisfr_2017.rds")
+
+msa_tracts.sf %>% 
+  left_join(., low_income_sfr, by = "GEOID") %>%
+  select(GEOID, TRACT = NAME, total_hh:share_sfr_total_rent_sfr_li) %>%
+  st_transform(4326) %>%
+  saveRDS(., "apps/inc804/data/low_income_sfr_2017.rds")
+
+# rio::export(low_income_sfr_homeowners, "low_income_sfr_homeowners_inc177_20200210.xlsx")
+
+# mapshot(msa_tracts.sf %>% 
+#           left_join(., low_income_sfr_homeowners, by = "GEOID") %>% 
+#           select(GEOID, TRACT = NAME, total_hh:share_sfr_total_own_sfr_li) %>% 
+#           mapview(zcol = "share_sfr_total_own_sfr_li", layer.name = "% SFR Occupied by LI Owners"), 
+#         "Low-income (0-80% MFI) single-family homeowners.html")
diff --git a/shiny_maps.Rproj b/shiny_maps.Rproj
new file mode 100644
index 0000000..8f7268f
--- /dev/null
+++ b/shiny_maps.Rproj
@@ -0,0 +1,13 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: ISO8859-1
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX