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Testing population gap

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Alex Gebben Work 2025-11-12 14:55:16 -07:00
parent 8c4dd2bb37
commit 9e2764a33a
1 changed files with 10 additions and 1 deletions
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Scripts/1D_Use_ACS_Census_Data_to_Estimate_Kemmerer_Demographics.r
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@ -14,10 +14,19 @@ ACS_END_YEAR <- 2023 #most recent in package as of Nov 4 2025
#Add API key if missing #Add API key if missing
#KEY <- '30e13ab22563318ff59286e433099f4174d4edd4' #KEY <- '30e13ab22563318ff59286e433099f4174d4edd4'
#census_api_key(KEY, install = TRUE) #census_api_key(KEY, install = TRUE)
PROJ_TRACTS <- get_tracts(search_city('Kemmerer','WY')$zipcode) %>% full_join(get_tracts(search_city('Diamondville','WY')$zipcode)) PROJ_TRACTS <- get_tracts(search_city('Kemmerer','WY')$zipcode)# %>% full_join(get_tracts(search_city('Diamondville','WY')$zipcode))
PROJ_TRACTS <- PROJ_TRACTS %>% select(GEOID) %>% mutate('IN_KEM'=1) %>% mutate(GEOID=as.character(GEOID)) PROJ_TRACTS <- PROJ_TRACTS %>% select(GEOID) %>% mutate('IN_KEM'=1) %>% mutate(GEOID=as.character(GEOID))
###Load data manually created which links vairable names to sex-age census data ###Load data manually created which links vairable names to sex-age census data
CODES <- read_csv("./Data/Raw_Data/ACS_Demographics/API_CENSUS_CODES.csv",skip=1) %>% mutate(Med_Age=(Min_Age+Max_Age)/2) %>% rename(variable=Code) CODES <- read_csv("./Data/Raw_Data/ACS_Demographics/API_CENSUS_CODES.csv",skip=1) %>% mutate(Med_Age=(Min_Age+Max_Age)/2) %>% rename(variable=Code)
CODES %>% filter(Min_Age==0,Max_Age==Inf)
TEST_CODES <- c('B01001_002E','B01001_026E') #All men and all woment
TEMP <-
TEMP_COUNTY <- get_acs(geography="tract",variables=TEST_CODES,state='WY',county='lincoln')
TEMP_COUNTY$estimate %>% sum
search_city('Kemmerer','WY')
TEMP
(TEMP %>% inner_join(PROJ_TRACTS) %>% pull(estimate) %>% sum)/3104
TEST <- MAKE_KEM_DEMO_DATA_YEAR(2020)
#Testing age Comparison between the two #Testing age Comparison between the two
###Extract census data for all tracts in Lincoln county, clean up the data, and indicate if the tract is in Kemmerer/Diamondvile or not. ###Extract census data for all tracts in Lincoln county, clean up the data, and indicate if the tract is in Kemmerer/Diamondvile or not.
DEMO_DATA_ALL <- do.call(rbind,lapply(2009:ACS_END_YEAR,MAKE_KEM_DEMO_DATA_YEAR)) DEMO_DATA_ALL <- do.call(rbind,lapply(2009:ACS_END_YEAR,MAKE_KEM_DEMO_DATA_YEAR))