Projections Dataset and Methodology

Variable Name Variable Description Variable Type
Variable
Width
1 CONAME Company Name Char 30
2 ADDR Address Char 30
3 CITY16 City Char 16
4 STATE State Abbreviation Char 2
5 STATE_NAME State Name Char 50
6 ZIP 5-Digit ZIP Code Char 5
7 SIC Primary SIC Char 6
8 NAICS_EXT 8-Digit NAICS Code Char 8
9 SALES_VOL Estimated Sales Volume* Num 10 0
10 HDBRCH Business Status code Char 1
11 NUMBER_EMP Number of Employees (Actual) Num 10 0
12 EMPSIZ Employee Size Code Char 1
13 FRNCOD Franchise Code Char 6
14 ISCODE Type of Business Char 1
15 SQFT Square Footage Code Char 1
16 MATCH_CODE ESRI Geocoder Match Code Char 5
17 LOCNUM Location Number (Unique Number) Char 9
18 LONG Longitude Num 11 6
19 LAT Latitude Num 10 6
*in Thousands
Decimal
Places
c. Methodology
1. ESRI/InfoUSA Business Point Data File Enhancement
Identification of Additional Missing Business Records
GWRC staff conducted on-line searches with www.manta.com to identify business establishments located in the
region that did not appear in the supplied ESRI/InfoUSA database of 10,019 records. These searches were run at the
zip-code level, focusing primarily on outlying rural and suburban zip codes, where it was suspected that more small
establishments may exist than were reported in the ESRI/InfoUSA database.
Additional searches run for the primary, more urban zipcodes in the Region (i.e. 22401, 22407, 22408, 22551,
22553, 22554, etc) yielded far too many listings to try to enhance the database further through this laborious
process. However, for the more rural areas, this comparison and the resulting additional establishment records
created (where the www.Manta.com record provided sufficient detail to estimate the firm’s employment size,
location and business sector) added several hundred records to the database. This enhancement of the original
data became important to the subsequent employment allocation process to produce the final traffic zone-level
employment estimates by NAICS 2-digit code.
Employment Estimation for Records with No Reported Employment
(NUMBER_EMP)
In the original database of 10,019 records, 2,885 (or 28.8 percent) had 0 employment reported for the business.
However, the ESRI/InfoUSA business establishment file had 3 other key attributes useful for estimating the number
of employees working with these establishments. First, virtually all of these records had an “EMPSIZE” code,
FAMPO 2040 Long-Range Transportation Plan: Socio-Economic Data Element 8