The goal of findSVI is to calculate regional CDC/ATSDR Social Vulnerability Index (SVI) at a geographic level of interest using US census data from American Community Survey.
findSVI includes two major steps:
get_census_data(): retrieving US census data (Census API key required);get_svi(): calculating SVI based on CDC/ATSDR SVI documentation.
CDC/ATSDR releases SVI biannually at the counties/census tracts level for US or an individual state (which can be downloaded here). findSVI aims to support more flexible and specific SVI analysis with additional options for years (2014-2021) and geographic levels (eg. ZCTA/places, combining multiple states).
You can install the development version of findSVI from GitHub with:
# install.packages("devtools")
devtools::install_github("heli-xu/findSVI")library(findSVI)
data <- get_census_data(2020, "county", "PA")
data[1:10, 1:10]#> GEOID NAME B06009_002E B06009_002M B09001_001E
#> 1 42001 Adams County, Pennsylvania 7788 602 20663
#> 2 42003 Allegheny County, Pennsylvania 45708 1713 228296
#> 3 42005 Armstrong County, Pennsylvania 3973 305 12516
#> 4 42007 Beaver County, Pennsylvania 7546 640 31915
#> 5 42009 Bedford County, Pennsylvania 3996 317 9386
#> 6 42011 Berks County, Pennsylvania 36488 1356 93714
#> 7 42013 Blair County, Pennsylvania 7292 679 24920
#> 8 42015 Bradford County, Pennsylvania 4395 362 13358
#> 9 42017 Bucks County, Pennsylvania 25651 1306 128008
#> 10 42019 Butler County, Pennsylvania 6118 468 37577
#> B09001_001M B11012_010E B11012_010M B11012_015E B11012_015M
#> 1 NA 1237 215 482 171
#> 2 49 24311 1147 5378 525
#> 3 9 912 161 247 85
#> 4 NA 3380 380 787 174
#> 5 11 468 99 213 50
#> 6 44 8812 662 1695 304
#> 7 19 2552 363 544 169
#> 8 NA 969 177 428 117
#> 9 53 8222 749 3174 581
#> 10 NA 2121 337 813 198
(first ten rows and columns shown)
result <- get_svi(2020, data)
restult[1:10, 1:10]#> GEOID NAME E_TOTPOP E_HU E_HH E_POV150 E_UNEMP
#> 1 42001 Adams County, Pennsylvania 102627 42525 39628 13573 2049
#> 2 42003 Allegheny County, Pennsylvania 1218380 602416 545695 212117 32041
#> 3 42005 Armstrong County, Pennsylvania 65356 32852 28035 13566 1735
#> 4 42007 Beaver County, Pennsylvania 164781 79587 72086 28766 4249
#> 5 42009 Bedford County, Pennsylvania 48154 24405 19930 10130 1033
#> 6 42011 Berks County, Pennsylvania 419062 167514 156389 77317 12196
#> 7 42013 Blair County, Pennsylvania 122495 56960 51647 27397 2765
#> 8 42015 Bradford County, Pennsylvania 60721 30691 25084 13731 1331
#> 9 42017 Bucks County, Pennsylvania 627668 251373 240763 59899 14477
#> 10 42019 Butler County, Pennsylvania 187798 84106 77725 24141 4498
#> E_HBURD E_NOHSDP E_UNINSUR
#> 1 9088 7788 5656
#> 2 133524 45708 46333
#> 3 5719 3973 2632
#> 4 15764 7546 6242
#> 5 3952 3996 3310
#> 6 40982 36488 25627
#> 7 12146 7292 6155
#> 8 5520 4395 3992
#> 9 57197 25651 25208
#> 10 15043 6118 6151
(first ten rows and columns shown)