Description: All current, active business licenses

Process: Data is queried from TRMS, processed to clean up common addressing issues (change "FT LOWELL" to "FORT LOWELL" - street name "1" become "1ST", funny "ÿ" characters are removed etc) and geocoded. Geocoding is a 3 step process:

1 - whole table is geocoded to adparcel with a 9.3.1 geocoder (scores of 69 and higher become seperate layer)

2 - anything with a score of 68 or below is joined to adparcel based on street #, street direction and street name - those that have a match have their address recalculated based on the full address in adparcel and are geocoded again with the 9.3.1 geocoder (become seperate layer)

3 - those from step 2 that do not have a match in adparcel are goecoded to stnetall and everything with a score of 80 or above are exported out as a seperate layer

Layers from steps 2 and 3 are appended into layer in step 1 and the original buslic FC has records deleted and the new data appended.

Attributes:

ACC_NUM: account number

ACC_NAME: account name

OWN_CODE: ownership code

OWN_DESC: ownership description

TYPE_CODE: business type code (RRP is RENTAL REAL PROPERTY is a license for renting a building)

TYPE_DESC: business type description

NAIC_CODE: NORTH AMERICAN INDUSTRY CLASSIFICATION SYSTEM number codes

NAIC_DESC: NAICS description

LIC_TYPE: SVL (Service License - professional and service businesses, may collect use tax) or PLL (Privilige License

License, businesses that collect sales tax)

DT_START: start date of business

DT_ISSUED: issued date of current business license

CITY: Tucson or several astericks with numbers in between indicates multiple addresses

STATE: AZ

ZIP_CODE: zipcode from TRMS

ADD_ORIG: original address from TRMS, including suite/unit number

ADD_MATCH: address account matched to (this will not necessary match the ADD_ORIG field)

MT: match type, number indicates which geocoding step was used (1 = highest quality match, 3 = lowest quality match)

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Who: Original TRMS (TAX MANTRA) data query and geoprocessing done by Johanna Kraus - March 2011

Maintinance/Update Schedule: Data and geoprocessing are a batch job done weekly.

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Known Errors:

All locations are approximate. Most data is mapped to existing address points (which are not precise locations),

those records that don't have an equivilant address match are approximated along the address range of street. See

MT field for more details.

Fields for NAICS codes, business types and owner types may be missing data or incorrect.

Data layer should not be considered a complete listing of all active businesses in Tucson.

Please send spatial errors to GIS_IT@tucsonaz.gov

Please send data errors to Tax-License@tucsonaz.gov