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Given 3-digit NAICS code, for example, get all NAICS that start with those digits.

Usage

naics_subcodes_from_code(mycodes)

Arguments

mycodes

NAICS codes vector, of 2 to 6 digits each. See https://naics.com

Value

a subset of the naicstable data.table (not just the codes column)

Details

similar idea was naics2children() but this is more robust See naics_from_any() which uses this

See also

Examples

  naics_categories()
#> Also see https://www.naics.com/search/ 
#>                                                                               [,1]
#> 11 - Agriculture, Forestry, Fishing and Hunting                                 11
#> 21 - Mining, Quarrying, and Oil and Gas Extraction                              21
#> 22 - Utilities                                                                  22
#> 23 - Construction                                                               23
#> 42 - Wholesale Trade                                                            42
#> 51 - Information                                                                51
#> 52 - Finance and Insurance                                                      52
#> 53 - Real Estate and Rental and Leasing                                         53
#> 54 - Professional, Scientific, and Technical Services                           54
#> 55 - Management of Companies and Enterprises                                    55
#> 56 - Administrative and Support and Waste Management and Remediation Services   56
#> 61 - Educational Services                                                       61
#> 62 - Health Care and Social Assistance                                          62
#> 71 - Arts, Entertainment, and Recreation                                        71
#> 72 - Accommodation and Food Services                                            72
#> 81 - Other Services (except Public Administration)                              81
#> 92 - Public Administration                                                      92
#> 31 - Manufacturing                                                              31
#> 32 - Manufacturing                                                              32
#> 33 - Manufacturing                                                              33
#> 44 - Retail Trade                                                               44
#> 45 - Retail Trade                                                               45
#> 48 - Transportation and Warehousing                                             48
#> 49 - Transportation and Warehousing                                             49