Example National Address Database addresses — nad_example

An example of the data returned using nad() for Hamilton County, Ohio (NAD version 22L). See ?nad for more information about the National Address Database.

nad("Hamilton", "OH", refresh_source = "no", refresh_binary = "no") and nad("39061", refresh_source = "no", refresh_binary = "no") are equivalent to nad_example_data().

Usage

nad_example_data(match_prepared = FALSE)

Arguments

match_prepared: logical; return the example data preprocessed with addr_match_prepare()?

Value

If match_prepared = FALSE, a tibble with 349,407 rows and 7 columns. If match_prepared = TRUE, an addr_match_index.

Examples

nad_example_data()
#> # A tibble: 349,407 × 7
#>    nad_addr            subaddress uuid  date_update s2    address_type parcel_id
#>    <addr>              <chr>      <chr> <date>      <s2c> <chr>        <chr>    
#>  1 7610 THOMPSON Rd C… NA         {68A… 2025-03-30  8840… Unknown      NA       
#>  2 9483 ZOLA Ct HARRI… NA         {CBF… 2025-03-30  8840… Unknown      NA       
#>  3 208 MOHAWK St CINC… NA         {B18… 2025-03-30  8841… Unknown      NA       
#>  4 11800 READING Rd C… NA         {393… 2025-03-30  8840… Unknown      NA       
#>  5 12050 PRINCETON Pi… NA         {478… 2025-03-30  8840… Unknown      NA       
#>  6 6610 PFEIFFER Rd C… NA         {947… 2025-03-30  8840… Unknown      NA       
#>  7 6501 PFEIFFER Rd C… NA         {998… 2025-03-30  8840… Unknown      NA       
#>  8 4244 ROUND BOTTOM … NA         {5F5… 2025-03-30  8841… Unknown      NA       
#>  9 8210 MARKET PLACE … NA         {C01… 2025-03-30  8840… Unknown      NA       
#> 10 8212 MARKET PLACE … NA         {2A8… 2025-03-30  8840… Unknown      NA       
#> # ℹ 349,397 more rows
nad_example_data(match_prepared = TRUE)
#> # An addr_match_index object with 333,129 addrs in 60 ZIP code groups:
#> 45247: 445
#> 45030: 6,705
#> 45202: 51
#> 45241: 17
#> 45246: 9,528
#> 45242: 160
#> 45244: 180
#> 45215: 2
#> 45232: 2,097
#> 45213: 291
#> 45237: 5,729
#> 45239: 8
#> 45002: 34
#> 45205: 847
#> 45231: 7,576
#> 45207: 1,155
#> 45212: 3,891
#> 45251: 7,313
#> 45236: 4,595
#> 45243: 2,624
#> 45227: 7,123
#> 45217: 4,374
#> 45111: 13,872
#> 45249: 8,424
#> 45238: 4,956
#> 45230: 5,552
#> 45225: 12,649
#> 45248: 4,345
#> 45240: 2,617
#> 45219: 1,735
#> 45220: 4,754
#> 45255: 3,908
#> 45140: 80
#> 45150: 6,449
#> 45214: 8,466
#> 45209: 4,990
#> 45223: 4,062
#> 45226: 8,248
#> 45206: 318
#> 45208: 4,285
#> 45229: 11,231
#> 45233: 16,733
#> 45211: 3,182
#> 45203: 6,662
#> 45252: 10,215
#> 45174: 7,651
#> 45204: 15,957
#> 45224: 10,471
#> 45218: 9,732
#> 45001: 7,044
#> 45041: 10,141
#> 45052: 6,170
#> 45216: 6,196
#> 45221: 5,902
#> 45033: 9,562
#> 45228: 9,707
#> 45013: 5,285
#> 45014: 8,762
#> 45051: 2,006
#> 45147: 6,065
#> .