Employment data is notoriously difficult to obtain at a fine-grained spatial level. The Census LEHD dataset has detailed employment data, by sector, at the Block level. In many regions, that is the best source of detailed employment data. Other sources are Traffic Analysis Zone (TAZ) data produced by entities running travel demand models, which is most often area MPOs, or in some cases cities or counties.
A table below offers advice on how to convert the detailed, NAICS employment counts in the LEHD dataset to ET-friendly naming convention.
|NAICS code||Description||ET GIS Employment Count Field|
|11||Agriculture, Forestry, Fishing and Hunting||EX_AG|
|21||Mining, Quarrying, and Oil and Gas Extraction||EX_IND|
|48-49||Transportation and Warehousing||EX_IND|
|52||Finance and Insurance||EX_OFF|
|53||Real Estate and Rental and Leasing||EX_OFF|
|54||Professional, Scientific, and Technical Services||EX_OFF|
|55||Management of Companies and Enterprises||EX_OFF|
|56||Administrative and Support and Waste Management and Remediation Services||EX_OFF|
|62||Health Care and Social Assistance||EX_OFF|
|71||Arts, Entertainment, and Recreation||EX_RET|
|722||Food Services and Drinking Places||EX_RET|
|81||Other Services (except Public Administration)||EX_OFF|