README.md
In jjchern/geocorr: Geographic Crosswalk Files
About
geocorr is an R data package for a set of geographic crosswalk files generated from the Missouri Census Data Center's Geographic Correspondence Engine: MABLE/Geocorr14.
So far geocorr has 11 datasets:
geocorr::county2010_to_puma2000: County10-PUMA00 Crosswalk Filegeocorr::county2010_to_puma2012: County10-PUMA12 Crosswalk Filegeocorr::county2014_to_puma2000: County14-PUMA00 Crosswalk Filegeocorr::county2014_to_puma2012: County14-PUMA12 Crosswalk Filegeocorr::county2010_to_puma2000_pop14: County10-PUMA00 Crosswalk File, with 2014 population as weightsgeocorr::county2010_to_puma2012_pop14: County10-PUMA12 Crosswalk File, with 2014 population as weightsgeocorr::puma2000_to_puma2012: PUMA00-PUMA12 Crosswalk Filegeocorr::zcta2010_to_puma2000: ZCTA10-PUMA12 Crosswalk Filegeocorr::zcta2010_to_puma2012: ZCTA10-PUMA12 Crosswalk Filegeocorr::zcta2010_to_usd2010: ZCTA10-Unified School District 2010 Crosswalk Filegeocorr::zcta2010_to_usd2014: ZCTA10-Unified School District 2014 Crosswalk File
The raw csv files, generated directly from MABLE/Geocorr14, can be found in the \data-raw\ folder.
Installation
# install.packages("devtools")
devtools::install_github("jjchern/geocorr")
# To uninstall the package, use:
# remove.packages("geocorr")
Usage
library(dplyr, warn.conflicts = FALSE)
geocorr::county2010_to_puma2000
#> # A tibble: 4,433 x 11
#> county state puma2k stab cntyname PUMA2kName intptlon intptlat
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL 0100100 -87.685151 34.723385
#> 2 01077 01 00100 AL Lauderdale AL 0100100 -87.608752 34.86618
#> 3 01089 01 00200 AL Madison AL 0100200 -86.593462 34.709032
#> 4 01083 01 00300 AL Limestone AL 0100300 -86.938983 34.815613
#> 5 01089 01 00300 AL Madison AL 0100300 -86.634573 34.786639
#> 6 01049 01 00400 AL DeKalb AL 0100400 -85.817037 34.455111
#> 7 01071 01 00400 AL Jackson AL 0100400 -85.938553 34.731985
#> 8 01043 01 00500 AL Cullman AL 0100500 -86.831816 34.162363
#> 9 01095 01 00500 AL Marshall AL 0100500 -86.293319 34.311975
#> 10 01133 01 00500 AL Winston AL 0100500 -87.415772 34.163825
#> # ... with 4,423 more rows, and 3 more variables: pop10 <chr>,
#> # afact <chr>, AFACT2 <chr>
geocorr::county2010_to_puma2012
#> # A tibble: 4,546 x 11
#> county state puma12 stab cntyname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL
#> 2 01059 01 00100 AL Franklin AL
#> 3 01077 01 00100 AL Lauderdale AL
#> 4 01093 01 00100 AL Marion AL
#> 5 01083 01 00200 AL Limestone AL
#> 6 01089 01 00200 AL Madison AL
#> 7 01089 01 00301 AL Madison AL
#> 8 01089 01 00302 AL Madison AL
#> 9 01049 01 00400 AL DeKalb AL
#> 10 01071 01 00400 AL Jackson AL
#> # ... with 4,536 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::county2014_to_puma2000
#> # A tibble: 4,432 x 11
#> county14 state puma2k stab cntyname2 PUMA2kName intptlon
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL 0100100 -87.685151
#> 2 01077 01 00100 AL Lauderdale AL 0100100 -87.608752
#> 3 01089 01 00200 AL Madison AL 0100200 -86.593462
#> 4 01083 01 00300 AL Limestone AL 0100300 -86.938983
#> 5 01089 01 00300 AL Madison AL 0100300 -86.634573
#> 6 01049 01 00400 AL DeKalb AL 0100400 -85.817037
#> 7 01071 01 00400 AL Jackson AL 0100400 -85.938553
#> 8 01043 01 00500 AL Cullman AL 0100500 -86.831816
#> 9 01095 01 00500 AL Marshall AL 0100500 -86.293319
#> 10 01133 01 00500 AL Winston AL 0100500 -87.415772
#> # ... with 4,422 more rows, and 4 more variables: intptlat <chr>,
#> # pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::county2014_to_puma2012
#> # A tibble: 4,545 x 11
#> county14 state puma12 stab cntyname2
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL
#> 2 01059 01 00100 AL Franklin AL
#> 3 01077 01 00100 AL Lauderdale AL
#> 4 01093 01 00100 AL Marion AL
#> 5 01083 01 00200 AL Limestone AL
#> 6 01089 01 00200 AL Madison AL
#> 7 01089 01 00301 AL Madison AL
#> 8 01089 01 00302 AL Madison AL
#> 9 01049 01 00400 AL DeKalb AL
#> 10 01071 01 00400 AL Jackson AL
#> # ... with 4,535 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::county2010_to_puma2000_pop14
#> # A tibble: 4,433 x 11
#> county state puma2k stab cntyname PUMA2kName intptlon intptlat
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 01 02000 AL Autauga AL 0102000 -86.494186 32.500389
#> 2 01003 01 02400 AL Baldwin AL 0102400 -87.762466 30.548923
#> 3 01005 01 01800 AL Barbour AL 0101800 -85.309929 31.844037
#> 4 01007 01 01500 AL Bibb AL 0101500 -87.127656 33.030921
#> 5 01009 01 00800 AL Blount AL 0100800 -86.591401 33.955244
#> 6 01011 01 01800 AL Bullock AL 0101800 -85.701197 32.116327
#> 7 01013 01 01800 AL Butler AL 0101800 -86.653511 31.773539
#> 8 01015 01 01100 AL Calhoun AL 0101100 -85.913387 33.585796
#> 9 01015 01 01200 AL Calhoun AL 0101200 -85.819401 33.725465
#> 10 01017 01 01600 AL Chambers AL 0101600 -85.266519 32.86044
#> # ... with 4,423 more rows, and 3 more variables: pop14 <chr>,
#> # afact <chr>, AFACT2 <chr>
geocorr::county2010_to_puma2012_pop14
#> # A tibble: 4,546 x 11
#> county state puma12 stab cntyname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 01 02100 AL Autauga AL
#> 2 01003 01 02600 AL Baldwin AL
#> 3 01005 01 02400 AL Barbour AL
#> 4 01007 01 01700 AL Bibb AL
#> 5 01009 01 00800 AL Blount AL
#> 6 01011 01 02400 AL Bullock AL
#> 7 01013 01 02300 AL Butler AL
#> 8 01015 01 01100 AL Calhoun AL
#> 9 01017 01 01800 AL Chambers AL
#> 10 01019 01 01000 AL Cherokee AL
#> # ... with 4,536 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop14 <chr>, afact <chr>, AFACT2 <chr>
geocorr::puma2000_to_puma2012
#> # A tibble: 4,444 x 11
#> state puma2k puma12 stab
#> <chr> <chr> <chr> <chr>
#> 1 01 00100 00100 AL
#> 2 01 00200 00200 AL
#> 3 01 00200 00301 AL
#> 4 01 00200 00302 AL
#> 5 01 00200 00500 AL
#> 6 01 00300 00200 AL
#> 7 01 00300 00301 AL
#> 8 01 00300 00302 AL
#> 9 01 00300 00500 AL
#> 10 01 00400 00400 AL
#> # ... with 4,434 more rows, and 7 more variables: PUMAname <chr>,
#> # PUMA2kName <chr>, intptlon <chr>, intptlat <chr>, pop10 <chr>,
#> # afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_puma2000
#> # A tibble: 44,071 x 11
#> zcta5 state puma2k stab zipname PUMA2kName intptlon
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01800 MA Agawam Town, MA 2501800 -72.62239
#> 2 01002 25 00200 MA Amherst Center, MA 2500200 -72.449974
#> 3 01002 25 01600 MA Amherst Center, MA 2501600 -72.515165
#> 4 01003 25 01600 MA Amherst Center, MA 2501600 -72.524677
#> 5 01005 25 01500 MA Barre, MA 2501500 -72.110496
#> 6 01007 25 02000 MA Belchertown, MA 2502000 -72.409222
#> 7 01008 25 00200 MA Blandford, MA 2500200 -72.938224
#> 8 01009 25 02000 MA Palmer Town, MA 2502000 -72.341702
#> 9 01010 25 01500 MA Brimfield, MA 2501500 -72.202212
#> 10 01010 25 02100 MA Brimfield, MA 2502100 -72.15364
#> # ... with 44,061 more rows, and 4 more variables: intptlat <chr>,
#> # pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_puma2012
#> # A tibble: 44,493 x 11
#> zcta5 state puma12 stab zipname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01901 MA Agawam Town, MA
#> 2 01002 25 00200 MA Amherst Center, MA
#> 3 01003 25 00200 MA Amherst Center, MA
#> 4 01005 25 00302 MA Barre, MA
#> 5 01007 25 01600 MA Belchertown, MA
#> 6 01008 25 01600 MA Blandford, MA
#> 7 01009 25 01600 MA Palmer Town, MA
#> 8 01010 25 01600 MA Brimfield, MA
#> 9 01011 25 00200 MA Chester, MA
#> 10 01011 25 01600 MA Chester, MA
#> # ... with 44,483 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_usd2010
#> # A tibble: 8,714 x 11
#> zcta5 state sduni stab zipname uschlnm10
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01800 MA Agawam Town, MA Agawam School District
#> 2 01002 25 <NA> MA Amherst Center, MA 25
#> 3 01003 25 <NA> MA Amherst Center, MA 25
#> 4 01005 25 00001 MA Barre, MA Quabbin School District
#> 5 01007 25 02430 MA Belchertown, MA Belchertown School District
#> 6 01008 25 <NA> MA Blandford, MA 25
#> 7 01008 25 05160 MA Blandford, MA Gateway School District
#> 8 01009 25 09300 MA Palmer Town, MA Palmer School District
#> 9 01010 25 <NA> MA Brimfield, MA 25
#> 10 01011 25 05160 MA Chester, MA Gateway School District
#> # ... with 8,704 more rows, and 5 more variables: intptlon <chr>,
#> # intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_usd2014
#> # A tibble: 67,592 x 11
#> zcta5 state sduni14 stab zipname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01800 MA Agawam Town, MA
#> 2 01002 25 <NA> MA Amherst Center, MA
#> 3 01003 25 <NA> MA Amherst Center, MA
#> 4 01005 25 00001 MA Barre, MA
#> 5 01007 25 02430 MA Belchertown, MA
#> 6 01008 25 00013 MA Blandford, MA
#> 7 01008 25 05160 MA Blandford, MA
#> 8 01009 25 09300 MA Palmer Town, MA
#> 9 01010 25 <NA> MA Brimfield, MA
#> 10 01011 25 05160 MA Chester, MA
#> # ... with 67,582 more rows, and 6 more variables: uschlnm14 <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
Reference
- IPUMA: Description of PUMA
- PSC: Creating County-Level Statistics from Public Use Microdata Areas (PUMAS)
jjchern/geocorr documentation built on May 19, 2019, 11:38 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
About
geocorr is an R data package for a set of geographic crosswalk files generated from the Missouri Census Data Center's Geographic Correspondence Engine: MABLE/Geocorr14.
So far geocorr has 11 datasets:
geocorr::county2010_to_puma2000: County10-PUMA00 Crosswalk Filegeocorr::county2010_to_puma2012: County10-PUMA12 Crosswalk Filegeocorr::county2014_to_puma2000: County14-PUMA00 Crosswalk Filegeocorr::county2014_to_puma2012: County14-PUMA12 Crosswalk Filegeocorr::county2010_to_puma2000_pop14: County10-PUMA00 Crosswalk File, with 2014 population as weightsgeocorr::county2010_to_puma2012_pop14: County10-PUMA12 Crosswalk File, with 2014 population as weightsgeocorr::puma2000_to_puma2012: PUMA00-PUMA12 Crosswalk Filegeocorr::zcta2010_to_puma2000: ZCTA10-PUMA12 Crosswalk Filegeocorr::zcta2010_to_puma2012: ZCTA10-PUMA12 Crosswalk Filegeocorr::zcta2010_to_usd2010: ZCTA10-Unified School District 2010 Crosswalk Filegeocorr::zcta2010_to_usd2014: ZCTA10-Unified School District 2014 Crosswalk File
The raw csv files, generated directly from MABLE/Geocorr14, can be found in the \data-raw\ folder.
Installation
# install.packages("devtools")
devtools::install_github("jjchern/geocorr")
# To uninstall the package, use:
# remove.packages("geocorr")
Usage
library(dplyr, warn.conflicts = FALSE)
geocorr::county2010_to_puma2000
#> # A tibble: 4,433 x 11
#> county state puma2k stab cntyname PUMA2kName intptlon intptlat
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL 0100100 -87.685151 34.723385
#> 2 01077 01 00100 AL Lauderdale AL 0100100 -87.608752 34.86618
#> 3 01089 01 00200 AL Madison AL 0100200 -86.593462 34.709032
#> 4 01083 01 00300 AL Limestone AL 0100300 -86.938983 34.815613
#> 5 01089 01 00300 AL Madison AL 0100300 -86.634573 34.786639
#> 6 01049 01 00400 AL DeKalb AL 0100400 -85.817037 34.455111
#> 7 01071 01 00400 AL Jackson AL 0100400 -85.938553 34.731985
#> 8 01043 01 00500 AL Cullman AL 0100500 -86.831816 34.162363
#> 9 01095 01 00500 AL Marshall AL 0100500 -86.293319 34.311975
#> 10 01133 01 00500 AL Winston AL 0100500 -87.415772 34.163825
#> # ... with 4,423 more rows, and 3 more variables: pop10 <chr>,
#> # afact <chr>, AFACT2 <chr>
geocorr::county2010_to_puma2012
#> # A tibble: 4,546 x 11
#> county state puma12 stab cntyname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL
#> 2 01059 01 00100 AL Franklin AL
#> 3 01077 01 00100 AL Lauderdale AL
#> 4 01093 01 00100 AL Marion AL
#> 5 01083 01 00200 AL Limestone AL
#> 6 01089 01 00200 AL Madison AL
#> 7 01089 01 00301 AL Madison AL
#> 8 01089 01 00302 AL Madison AL
#> 9 01049 01 00400 AL DeKalb AL
#> 10 01071 01 00400 AL Jackson AL
#> # ... with 4,536 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::county2014_to_puma2000
#> # A tibble: 4,432 x 11
#> county14 state puma2k stab cntyname2 PUMA2kName intptlon
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL 0100100 -87.685151
#> 2 01077 01 00100 AL Lauderdale AL 0100100 -87.608752
#> 3 01089 01 00200 AL Madison AL 0100200 -86.593462
#> 4 01083 01 00300 AL Limestone AL 0100300 -86.938983
#> 5 01089 01 00300 AL Madison AL 0100300 -86.634573
#> 6 01049 01 00400 AL DeKalb AL 0100400 -85.817037
#> 7 01071 01 00400 AL Jackson AL 0100400 -85.938553
#> 8 01043 01 00500 AL Cullman AL 0100500 -86.831816
#> 9 01095 01 00500 AL Marshall AL 0100500 -86.293319
#> 10 01133 01 00500 AL Winston AL 0100500 -87.415772
#> # ... with 4,422 more rows, and 4 more variables: intptlat <chr>,
#> # pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::county2014_to_puma2012
#> # A tibble: 4,545 x 11
#> county14 state puma12 stab cntyname2
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01033 01 00100 AL Colbert AL
#> 2 01059 01 00100 AL Franklin AL
#> 3 01077 01 00100 AL Lauderdale AL
#> 4 01093 01 00100 AL Marion AL
#> 5 01083 01 00200 AL Limestone AL
#> 6 01089 01 00200 AL Madison AL
#> 7 01089 01 00301 AL Madison AL
#> 8 01089 01 00302 AL Madison AL
#> 9 01049 01 00400 AL DeKalb AL
#> 10 01071 01 00400 AL Jackson AL
#> # ... with 4,535 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::county2010_to_puma2000_pop14
#> # A tibble: 4,433 x 11
#> county state puma2k stab cntyname PUMA2kName intptlon intptlat
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 01 02000 AL Autauga AL 0102000 -86.494186 32.500389
#> 2 01003 01 02400 AL Baldwin AL 0102400 -87.762466 30.548923
#> 3 01005 01 01800 AL Barbour AL 0101800 -85.309929 31.844037
#> 4 01007 01 01500 AL Bibb AL 0101500 -87.127656 33.030921
#> 5 01009 01 00800 AL Blount AL 0100800 -86.591401 33.955244
#> 6 01011 01 01800 AL Bullock AL 0101800 -85.701197 32.116327
#> 7 01013 01 01800 AL Butler AL 0101800 -86.653511 31.773539
#> 8 01015 01 01100 AL Calhoun AL 0101100 -85.913387 33.585796
#> 9 01015 01 01200 AL Calhoun AL 0101200 -85.819401 33.725465
#> 10 01017 01 01600 AL Chambers AL 0101600 -85.266519 32.86044
#> # ... with 4,423 more rows, and 3 more variables: pop14 <chr>,
#> # afact <chr>, AFACT2 <chr>
geocorr::county2010_to_puma2012_pop14
#> # A tibble: 4,546 x 11
#> county state puma12 stab cntyname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 01 02100 AL Autauga AL
#> 2 01003 01 02600 AL Baldwin AL
#> 3 01005 01 02400 AL Barbour AL
#> 4 01007 01 01700 AL Bibb AL
#> 5 01009 01 00800 AL Blount AL
#> 6 01011 01 02400 AL Bullock AL
#> 7 01013 01 02300 AL Butler AL
#> 8 01015 01 01100 AL Calhoun AL
#> 9 01017 01 01800 AL Chambers AL
#> 10 01019 01 01000 AL Cherokee AL
#> # ... with 4,536 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop14 <chr>, afact <chr>, AFACT2 <chr>
geocorr::puma2000_to_puma2012
#> # A tibble: 4,444 x 11
#> state puma2k puma12 stab
#> <chr> <chr> <chr> <chr>
#> 1 01 00100 00100 AL
#> 2 01 00200 00200 AL
#> 3 01 00200 00301 AL
#> 4 01 00200 00302 AL
#> 5 01 00200 00500 AL
#> 6 01 00300 00200 AL
#> 7 01 00300 00301 AL
#> 8 01 00300 00302 AL
#> 9 01 00300 00500 AL
#> 10 01 00400 00400 AL
#> # ... with 4,434 more rows, and 7 more variables: PUMAname <chr>,
#> # PUMA2kName <chr>, intptlon <chr>, intptlat <chr>, pop10 <chr>,
#> # afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_puma2000
#> # A tibble: 44,071 x 11
#> zcta5 state puma2k stab zipname PUMA2kName intptlon
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01800 MA Agawam Town, MA 2501800 -72.62239
#> 2 01002 25 00200 MA Amherst Center, MA 2500200 -72.449974
#> 3 01002 25 01600 MA Amherst Center, MA 2501600 -72.515165
#> 4 01003 25 01600 MA Amherst Center, MA 2501600 -72.524677
#> 5 01005 25 01500 MA Barre, MA 2501500 -72.110496
#> 6 01007 25 02000 MA Belchertown, MA 2502000 -72.409222
#> 7 01008 25 00200 MA Blandford, MA 2500200 -72.938224
#> 8 01009 25 02000 MA Palmer Town, MA 2502000 -72.341702
#> 9 01010 25 01500 MA Brimfield, MA 2501500 -72.202212
#> 10 01010 25 02100 MA Brimfield, MA 2502100 -72.15364
#> # ... with 44,061 more rows, and 4 more variables: intptlat <chr>,
#> # pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_puma2012
#> # A tibble: 44,493 x 11
#> zcta5 state puma12 stab zipname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01901 MA Agawam Town, MA
#> 2 01002 25 00200 MA Amherst Center, MA
#> 3 01003 25 00200 MA Amherst Center, MA
#> 4 01005 25 00302 MA Barre, MA
#> 5 01007 25 01600 MA Belchertown, MA
#> 6 01008 25 01600 MA Blandford, MA
#> 7 01009 25 01600 MA Palmer Town, MA
#> 8 01010 25 01600 MA Brimfield, MA
#> 9 01011 25 00200 MA Chester, MA
#> 10 01011 25 01600 MA Chester, MA
#> # ... with 44,483 more rows, and 6 more variables: PUMAname <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_usd2010
#> # A tibble: 8,714 x 11
#> zcta5 state sduni stab zipname uschlnm10
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01800 MA Agawam Town, MA Agawam School District
#> 2 01002 25 <NA> MA Amherst Center, MA 25
#> 3 01003 25 <NA> MA Amherst Center, MA 25
#> 4 01005 25 00001 MA Barre, MA Quabbin School District
#> 5 01007 25 02430 MA Belchertown, MA Belchertown School District
#> 6 01008 25 <NA> MA Blandford, MA 25
#> 7 01008 25 05160 MA Blandford, MA Gateway School District
#> 8 01009 25 09300 MA Palmer Town, MA Palmer School District
#> 9 01010 25 <NA> MA Brimfield, MA 25
#> 10 01011 25 05160 MA Chester, MA Gateway School District
#> # ... with 8,704 more rows, and 5 more variables: intptlon <chr>,
#> # intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
geocorr::zcta2010_to_usd2014
#> # A tibble: 67,592 x 11
#> zcta5 state sduni14 stab zipname
#> <chr> <chr> <chr> <chr> <chr>
#> 1 01001 25 01800 MA Agawam Town, MA
#> 2 01002 25 <NA> MA Amherst Center, MA
#> 3 01003 25 <NA> MA Amherst Center, MA
#> 4 01005 25 00001 MA Barre, MA
#> 5 01007 25 02430 MA Belchertown, MA
#> 6 01008 25 00013 MA Blandford, MA
#> 7 01008 25 05160 MA Blandford, MA
#> 8 01009 25 09300 MA Palmer Town, MA
#> 9 01010 25 <NA> MA Brimfield, MA
#> 10 01011 25 05160 MA Chester, MA
#> # ... with 67,582 more rows, and 6 more variables: uschlnm14 <chr>,
#> # intptlon <chr>, intptlat <chr>, pop10 <chr>, afact <chr>, AFACT2 <chr>
Reference
- IPUMA: Description of PUMA
- PSC: Creating County-Level Statistics from Public Use Microdata Areas (PUMAS)
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