README.md
In jjchern/gaze: 2010 Census Gazetteer Files
About
This R data package stores 2010 Census Gazetteer Files. So far it only includes
- the counties file (
county10.rda)
- the zcta file (
zcta10.rda)
Useful Links
Installation
# install.packages("devtools")
devtools::install_github("jjchern/gaze")
Usage
library(dplyr)
gaze::county10
#> Source: local data frame [3,221 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland
#> (chr) (int) (int) (chr) (int) (int) (dbl)
#> 1 AL 1001 161526 Autauga County 54571 22135 1539582278
#> 2 AL 1003 161527 Baldwin County 182265 104061 4117521611
#> 3 AL 1005 161528 Barbour County 27457 11829 2291818968
#> 4 AL 1007 161529 Bibb County 22915 8981 1612480789
#> 5 AL 1009 161530 Blount County 57322 23887 1669961855
#> 6 AL 1011 161531 Bullock County 10914 4493 1613056905
#> 7 AL 1013 161532 Butler County 20947 9964 2011976894
#> 8 AL 1015 161533 Calhoun County 118572 53289 1569189995
#> 9 AL 1017 161534 Chambers County 34215 17004 1545009282
#> 10 AL 1019 161535 Cherokee County 25989 16267 1434075952
#> .. ... ... ... ... ... ... ...
#> Variables not shown: awater (dbl), aland_sqmi (dbl), awater_sqmi (dbl),
#> intptlat (dbl), intptlong (dbl)
gaze::zcta10
#> Source: local data frame [33,120 x 9]
#>
#> geoid pop10 hu10 aland awater aland_sqmi awater_sqmi intptlat
#> (int) (int) (int) (int) (int) (dbl) (dbl) (dbl)
#> 1 601 18570 7744 166659789 799296 64.348 0.309 18.18055
#> 2 602 41520 18073 79288158 4446273 30.613 1.717 18.36227
#> 3 603 54689 25653 81880442 183425 31.614 0.071 18.45518
#> 4 606 6615 2877 109580061 12487 42.309 0.005 18.15835
#> 5 610 29016 12618 93021467 4172001 35.916 1.611 18.29096
#> 6 612 67010 30992 175106243 9809163 67.609 3.787 18.40224
#> 7 616 11017 4896 29870473 149147 11.533 0.058 18.42041
#> 8 617 24597 10594 39347158 3987969 15.192 1.540 18.44515
#> 9 622 7853 8714 75077028 1694917 28.987 0.654 17.99124
#> 10 623 43061 21426 98367847 1633540 37.980 0.631 18.08344
#> .. ... ... ... ... ... ... ... ...
#> Variables not shown: intptlong (dbl)
# display variable labels
gaze::county10 %>% select(usps, name, pop10, aland) %>%
meda::d(compact = FALSE) %>% select(var, label)
#> Source: local data frame [4 x 2]
#>
#> var label
#> (chr) (chr)
#> 1 usps United States Postal Service State Abbreviation
#> 2 name Name
#> 3 pop10 2010 Census population count
#> 4 aland Land Area (square meters) - Created for statistical purposes only
# the 10 largest counties in the United States by population based on the 2010 Census
gaze::county10 %>% arrange(desc(pop10))
#> Source: local data frame [3,221 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland
#> (chr) (int) (int) (chr) (int) (int) (dbl)
#> 1 CA 6037 277283 Los Angeles County 9818605 3445076 10509869649
#> 2 IL 17031 1784766 Cook County 5194675 2180359 2448383588
#> 3 TX 48201 1383886 Harris County 4092459 1598698 4411986582
#> 4 AZ 4013 37026 Maricopa County 3817117 1639279 23828260196
#> 5 CA 6073 277301 San Diego County 3095313 1164786 10895120648
#> 6 CA 6059 277294 Orange County 3010232 1048907 2047561084
#> 7 NY 36047 974122 Kings County 2504700 1000293 183412016
#> 8 FL 12086 295755 Miami-Dade County 2496435 989435 4915061046
#> 9 TX 48113 1383842 Dallas County 2368139 943257 2256602704
#> 10 NY 36081 974139 Queens County 2230722 835127 281096933
#> .. ... ... ... ... ... ... ...
#> Variables not shown: awater (dbl), aland_sqmi (dbl), awater_sqmi (dbl),
#> intptlat (dbl), intptlong (dbl)
# the 10 largest counties in the United States by area based on the 2010 Census
gaze::county10 %>% arrange(desc(aland))
#> Source: local data frame [3,221 x 12]
#>
#> usps geoid ansicode name pop10 hu10
#> (chr) (int) (int) (chr) (int) (int)
#> 1 AK 2290 1419987 Yukon-Koyukuk Census Area 5588 4038
#> 2 AK 2185 1419978 North Slope Borough 9430 2500
#> 3 AK 2050 1419966 Bethel Census Area 17013 5919
#> 4 AK 2188 1419979 Northwest Arctic Borough 7523 2707
#> 5 AK 2261 1419984 Valdez-Cordova Census Area 9636 6102
#> 6 AK 2240 1419983 Southeast Fairbanks Census Area 7029 3915
#> 7 AK 2170 1419976 Matanuska-Susitna Borough 88995 41329
#> 8 AK 2164 1419975 Lake and Peninsula Borough 1631 1502
#> 9 AK 2180 1419977 Nome Census Area 9492 4008
#> 10 CA 6071 277300 San Bernardino County 2035210 699637
#> .. ... ... ... ... ... ...
#> Variables not shown: aland (dbl), awater (dbl), aland_sqmi (dbl),
#> awater_sqmi (dbl), intptlat (dbl), intptlong (dbl)
# County names are not unique
# See https://en.wikipedia.org/wiki/List_of_the_most_common_U.S._county_names
gaze::county10 %>%
filter(name == "Washington County") %>%
print(n = 30)
#> Source: local data frame [30 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland
#> (chr) (int) (int) (chr) (int) (int) (dbl)
#> 1 AL 1129 161590 Washington County 17581 8407 2797722307
#> 2 AR 5143 69905 Washington County 203065 87808 2439681852
#> 3 CO 8121 198176 Washington County 4814 2434 6521670287
#> 4 FL 12133 295762 Washington County 24896 10796 1509453502
#> 5 GA 13303 348428 Washington County 21187 9047 1757182927
#> 6 ID 16087 399757 Washington County 10198 4529 3763204795
#> 7 IL 17189 1785150 Washington County 14716 6534 1457055371
#> 8 IN 18175 451665 Washington County 28262 12220 1330542331
#> 9 IA 19183 465280 Washington County 21704 9516 1473276393
#> 10 KS 20201 485061 Washington County 5799 2955 2317406254
#> 11 KY 21229 516961 Washington County 11717 5044 769916143
#> 12 ME 23029 581300 Washington County 32856 23001 6637257545
#> 13 MD 24043 1714220 Washington County 147430 60814 1185644157
#> 14 MN 27163 659526 Washington County 238136 92374 995285532
#> 15 MS 28151 695796 Washington County 51137 21708 1877071141
#> 16 MO 29221 758563 Washington County 25195 11017 1968164689
#> 17 NE 31177 835910 Washington County 20234 8301 1009986004
#> 18 NY 36115 974155 Washington County 63216 28844 2152756071
#> 19 NC 37187 1026331 Washington County 13228 6491 901664508
#> 20 OH 39167 1074095 Washington County 61778 28367 1636799113
#> 21 OK 40147 1101861 Washington County 50976 23451 1076020808
#> 22 OR 41067 1155137 Washington County 529710 212450 1875746999
#> 23 PA 42125 1209190 Washington County 207820 92977 2219591093
#> 24 RI 44009 1219782 Washington County 126979 62206 852713750
#> 25 TN 47179 1639797 Washington County 122979 57254 845539916
#> 26 TX 48477 1384024 Washington County 33718 15514 1564232347
#> 27 UT 49053 1448040 Washington County 138115 57734 6284236933
#> 28 VT 50023 1461768 Washington County 59534 29941 1779926134
#> 29 VA 51191 1498359 Washington County 54876 25601 1452917904
#> 30 WI 55131 1581125 Washington County 131887 54695 1115515204
#> Variables not shown: awater (dbl), aland_sqmi (dbl), awater_sqmi (dbl),
#> intptlat (dbl), intptlong (dbl)
gaze::county10 %>%
filter(name == "Cook County")
#> Source: local data frame [3 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland awater
#> (chr) (int) (int) (chr) (int) (int) (dbl) (dbl)
#> 1 GA 13075 343878 Cook County 17212 7287 588345665 15647080
#> 2 IL 17031 1784766 Cook County 5194675 2180359 2448383588 1785882224
#> 3 MN 27031 659461 Cook County 5176 5839 3761380730 4888013531
#> Variables not shown: aland_sqmi (dbl), awater_sqmi (dbl), intptlat (dbl),
#> intptlong (dbl)
jjchern/gaze documentation built on May 19, 2019, 11:38 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
About
This R data package stores 2010 Census Gazetteer Files. So far it only includes
- the counties file (
county10.rda) - the zcta file (
zcta10.rda)
Useful Links
Installation
# install.packages("devtools")
devtools::install_github("jjchern/gaze")
Usage
library(dplyr)
gaze::county10
#> Source: local data frame [3,221 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland
#> (chr) (int) (int) (chr) (int) (int) (dbl)
#> 1 AL 1001 161526 Autauga County 54571 22135 1539582278
#> 2 AL 1003 161527 Baldwin County 182265 104061 4117521611
#> 3 AL 1005 161528 Barbour County 27457 11829 2291818968
#> 4 AL 1007 161529 Bibb County 22915 8981 1612480789
#> 5 AL 1009 161530 Blount County 57322 23887 1669961855
#> 6 AL 1011 161531 Bullock County 10914 4493 1613056905
#> 7 AL 1013 161532 Butler County 20947 9964 2011976894
#> 8 AL 1015 161533 Calhoun County 118572 53289 1569189995
#> 9 AL 1017 161534 Chambers County 34215 17004 1545009282
#> 10 AL 1019 161535 Cherokee County 25989 16267 1434075952
#> .. ... ... ... ... ... ... ...
#> Variables not shown: awater (dbl), aland_sqmi (dbl), awater_sqmi (dbl),
#> intptlat (dbl), intptlong (dbl)
gaze::zcta10
#> Source: local data frame [33,120 x 9]
#>
#> geoid pop10 hu10 aland awater aland_sqmi awater_sqmi intptlat
#> (int) (int) (int) (int) (int) (dbl) (dbl) (dbl)
#> 1 601 18570 7744 166659789 799296 64.348 0.309 18.18055
#> 2 602 41520 18073 79288158 4446273 30.613 1.717 18.36227
#> 3 603 54689 25653 81880442 183425 31.614 0.071 18.45518
#> 4 606 6615 2877 109580061 12487 42.309 0.005 18.15835
#> 5 610 29016 12618 93021467 4172001 35.916 1.611 18.29096
#> 6 612 67010 30992 175106243 9809163 67.609 3.787 18.40224
#> 7 616 11017 4896 29870473 149147 11.533 0.058 18.42041
#> 8 617 24597 10594 39347158 3987969 15.192 1.540 18.44515
#> 9 622 7853 8714 75077028 1694917 28.987 0.654 17.99124
#> 10 623 43061 21426 98367847 1633540 37.980 0.631 18.08344
#> .. ... ... ... ... ... ... ... ...
#> Variables not shown: intptlong (dbl)
# display variable labels
gaze::county10 %>% select(usps, name, pop10, aland) %>%
meda::d(compact = FALSE) %>% select(var, label)
#> Source: local data frame [4 x 2]
#>
#> var label
#> (chr) (chr)
#> 1 usps United States Postal Service State Abbreviation
#> 2 name Name
#> 3 pop10 2010 Census population count
#> 4 aland Land Area (square meters) - Created for statistical purposes only
# the 10 largest counties in the United States by population based on the 2010 Census
gaze::county10 %>% arrange(desc(pop10))
#> Source: local data frame [3,221 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland
#> (chr) (int) (int) (chr) (int) (int) (dbl)
#> 1 CA 6037 277283 Los Angeles County 9818605 3445076 10509869649
#> 2 IL 17031 1784766 Cook County 5194675 2180359 2448383588
#> 3 TX 48201 1383886 Harris County 4092459 1598698 4411986582
#> 4 AZ 4013 37026 Maricopa County 3817117 1639279 23828260196
#> 5 CA 6073 277301 San Diego County 3095313 1164786 10895120648
#> 6 CA 6059 277294 Orange County 3010232 1048907 2047561084
#> 7 NY 36047 974122 Kings County 2504700 1000293 183412016
#> 8 FL 12086 295755 Miami-Dade County 2496435 989435 4915061046
#> 9 TX 48113 1383842 Dallas County 2368139 943257 2256602704
#> 10 NY 36081 974139 Queens County 2230722 835127 281096933
#> .. ... ... ... ... ... ... ...
#> Variables not shown: awater (dbl), aland_sqmi (dbl), awater_sqmi (dbl),
#> intptlat (dbl), intptlong (dbl)
# the 10 largest counties in the United States by area based on the 2010 Census
gaze::county10 %>% arrange(desc(aland))
#> Source: local data frame [3,221 x 12]
#>
#> usps geoid ansicode name pop10 hu10
#> (chr) (int) (int) (chr) (int) (int)
#> 1 AK 2290 1419987 Yukon-Koyukuk Census Area 5588 4038
#> 2 AK 2185 1419978 North Slope Borough 9430 2500
#> 3 AK 2050 1419966 Bethel Census Area 17013 5919
#> 4 AK 2188 1419979 Northwest Arctic Borough 7523 2707
#> 5 AK 2261 1419984 Valdez-Cordova Census Area 9636 6102
#> 6 AK 2240 1419983 Southeast Fairbanks Census Area 7029 3915
#> 7 AK 2170 1419976 Matanuska-Susitna Borough 88995 41329
#> 8 AK 2164 1419975 Lake and Peninsula Borough 1631 1502
#> 9 AK 2180 1419977 Nome Census Area 9492 4008
#> 10 CA 6071 277300 San Bernardino County 2035210 699637
#> .. ... ... ... ... ... ...
#> Variables not shown: aland (dbl), awater (dbl), aland_sqmi (dbl),
#> awater_sqmi (dbl), intptlat (dbl), intptlong (dbl)
# County names are not unique
# See https://en.wikipedia.org/wiki/List_of_the_most_common_U.S._county_names
gaze::county10 %>%
filter(name == "Washington County") %>%
print(n = 30)
#> Source: local data frame [30 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland
#> (chr) (int) (int) (chr) (int) (int) (dbl)
#> 1 AL 1129 161590 Washington County 17581 8407 2797722307
#> 2 AR 5143 69905 Washington County 203065 87808 2439681852
#> 3 CO 8121 198176 Washington County 4814 2434 6521670287
#> 4 FL 12133 295762 Washington County 24896 10796 1509453502
#> 5 GA 13303 348428 Washington County 21187 9047 1757182927
#> 6 ID 16087 399757 Washington County 10198 4529 3763204795
#> 7 IL 17189 1785150 Washington County 14716 6534 1457055371
#> 8 IN 18175 451665 Washington County 28262 12220 1330542331
#> 9 IA 19183 465280 Washington County 21704 9516 1473276393
#> 10 KS 20201 485061 Washington County 5799 2955 2317406254
#> 11 KY 21229 516961 Washington County 11717 5044 769916143
#> 12 ME 23029 581300 Washington County 32856 23001 6637257545
#> 13 MD 24043 1714220 Washington County 147430 60814 1185644157
#> 14 MN 27163 659526 Washington County 238136 92374 995285532
#> 15 MS 28151 695796 Washington County 51137 21708 1877071141
#> 16 MO 29221 758563 Washington County 25195 11017 1968164689
#> 17 NE 31177 835910 Washington County 20234 8301 1009986004
#> 18 NY 36115 974155 Washington County 63216 28844 2152756071
#> 19 NC 37187 1026331 Washington County 13228 6491 901664508
#> 20 OH 39167 1074095 Washington County 61778 28367 1636799113
#> 21 OK 40147 1101861 Washington County 50976 23451 1076020808
#> 22 OR 41067 1155137 Washington County 529710 212450 1875746999
#> 23 PA 42125 1209190 Washington County 207820 92977 2219591093
#> 24 RI 44009 1219782 Washington County 126979 62206 852713750
#> 25 TN 47179 1639797 Washington County 122979 57254 845539916
#> 26 TX 48477 1384024 Washington County 33718 15514 1564232347
#> 27 UT 49053 1448040 Washington County 138115 57734 6284236933
#> 28 VT 50023 1461768 Washington County 59534 29941 1779926134
#> 29 VA 51191 1498359 Washington County 54876 25601 1452917904
#> 30 WI 55131 1581125 Washington County 131887 54695 1115515204
#> Variables not shown: awater (dbl), aland_sqmi (dbl), awater_sqmi (dbl),
#> intptlat (dbl), intptlong (dbl)
gaze::county10 %>%
filter(name == "Cook County")
#> Source: local data frame [3 x 12]
#>
#> usps geoid ansicode name pop10 hu10 aland awater
#> (chr) (int) (int) (chr) (int) (int) (dbl) (dbl)
#> 1 GA 13075 343878 Cook County 17212 7287 588345665 15647080
#> 2 IL 17031 1784766 Cook County 5194675 2180359 2448383588 1785882224
#> 3 MN 27031 659461 Cook County 5176 5839 3761380730 4888013531
#> Variables not shown: aland_sqmi (dbl), awater_sqmi (dbl), intptlat (dbl),
#> intptlong (dbl)
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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