B02001_001 Estimate!!Total B02001_002 Estimate!!Total:!!White
alone
B02018_022 Estimate!!Total Groups Tallied:!!Vietnamese
B02018_007 Estimate!!Total Groups Tallied:!!Chinese
B02018_008 Estimate!!Total Groups Tallied:!!Filipino
B02018_012 Estimate!!Total Groups Tallied:!!Korean
B02018_020 Estimate!!Total Groups Tallied:!!Taiwanese
B02018_002 Estimate!!Total Groups Tallied:!!Asian Indian
ca.tracts <- get_acs(geography = "place",
year = 2020,
variables = c(total = "B02001_001", Taiwanese="B02018_020",
Viet = "B02018_022", Chinese = "B02018_007", Indian="B02018_002",
Filipino = "B02018_008", Korean = "B02018_012"),
state = "CA",
survey = "acs5",
output = "wide",
geometry = F)
## Getting data from the 2016-2020 5-year ACS
ca.tracts1 <- filter(ca.tracts,totalE>10000) %>%
rename_with(~ sub("E$", "", .x), everything())
ca <- ca.tracts1[str_detect(ca.tracts1$NAM, "city"), ] # Extract matching rows with str_detect
ca2 <- ca %>% select(c(NAM,total, Viet,Taiwanese,Indian ,Chinese, Filipino, Korean))
ca2$NAM <- gsub(", California","",ca2$NAM)
colnames(ca2)[1] <- "City"
Top 20 cities
Chinese populations in California
c <- arrange(ca2,desc(Chinese)) %>% head(n=20)
select(c,c(City,Chinese)) %>% kbl(caption = "Top Chinese Populations by city") %>% kable_styling(c("bordered","centered"), full_width = F)
City | Chinese |
---|---|
San Francisco city | 201763 |
San Jose city | 98015 |
Los Angeles city | 97779 |
San Diego city | 57013 |
Irvine city | 43785 |
Fremont city | 43122 |
Oakland city | 37890 |
Alhambra city | 32107 |
Monterey Park city | 29412 |
Sacramento city | 28353 |
Sunnyvale city | 28081 |
Daly City city | 24520 |
Rosemead city | 23829 |
Arcadia city | 22650 |
El Monte city | 21655 |
San Gabriel city | 18494 |
Diamond Bar city | 18142 |
Cupertino city | 17219 |
Temple City city | 16879 |
Santa Clara city | 16727 |
top 20 cities
Vietnamese populations in California
c <- arrange(ca2,desc(Viet)) %>% head(n=20)
select(c,c(City,Viet)) %>% kbl(caption = "Top Vietnamese Populations by city") %>% kable_styling(c("bordered","centered"), full_width = F)
City | Viet |
---|---|
San Jose city | 125417 |
Garden Grove city | 58786 |
San Diego city | 41827 |
Westminster city | 41532 |
Los Angeles city | 31277 |
Santa Ana city | 27799 |
San Francisco city | 21909 |
Anaheim city | 20272 |
Fountain Valley city | 13878 |
Irvine city | 12694 |
El Monte city | 11466 |
Huntington Beach city | 11359 |
Milpitas city | 10602 |
Elk Grove city | 9887 |
Rosemead city | 9748 |
Oakland city | 9615 |
Sacramento city | 9182 |
Stanton city | 7653 |
Stockton city | 7181 |
Fremont city | 6955 |
Top 20 cities
Indian populations in California
c <- arrange(ca2,desc(Indian)) %>% head(n=20)
select(c,c(City,Indian)) %>% kbl(caption = "Top indian Populations by city") %>% kable_styling(c("bordered","centered"), full_width = F)
City | Indian |
---|---|
San Jose city | 74363 |
Fremont city | 66852 |
Los Angeles city | 48032 |
San Diego city | 33192 |
Sunnyvale city | 30669 |
San Francisco city | 26640 |
Santa Clara city | 23041 |
Irvine city | 18870 |
San Ramon city | 17855 |
Cupertino city | 17735 |
Fresno city | 17001 |
Dublin city | 16432 |
Sacramento city | 15639 |
Milpitas city | 15359 |
Pleasanton city | 14373 |
Union City city | 10843 |
Bakersfield city | 10328 |
Yuba City city | 10112 |
Hayward city | 8246 |
Torrance city | 7722 |
Top 20 cities
Filipino populations in California
c <- arrange(ca2,desc(Filipino)) %>% head(n=20)
select(c,c(City,Filipino)) %>% kbl(caption = "Top Filipino Populations by city") %>% kable_styling(c("bordered","centered"), full_width = F)
City | Filipino |
---|---|
Los Angeles city | 154035 |
San Diego city | 96745 |
San Jose city | 68560 |
San Francisco city | 45705 |
Chula Vista city | 37558 |
Daly City city | 36189 |
Stockton city | 29133 |
Vallejo city | 28442 |
Long Beach city | 24962 |
Carson city | 21172 |
Hayward city | 20244 |
Sacramento city | 20067 |
Elk Grove city | 18433 |
Fremont city | 17985 |
Anaheim city | 17869 |
South San Francisco city | 16688 |
Union City city | 15624 |
Fairfield city | 14007 |
Glendale city | 13424 |
Milpitas city | 11572 |