Data Dictionary: County Business Patterns 2014
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Data Source:U.S. Census Bureau
Table: CBP_076. Flag for Noise Field for Total Annual Payroll: Establishments with 20 to 49 Employees [107]
Universe: none
Table Details
CBP_076. Flag for Noise Field for Total Annual Payroll: Establishments with 20 to 49 Employees
Universe: none
VariableLabel
CBP2014_076_PAYANN_N_F_241_00
CBP2014_076_PAYANN_N_F_241_11
CBP2014_076_PAYANN_N_F_241_113
CBP2014_076_PAYANN_N_F_241_114
CBP2014_076_PAYANN_N_F_241_115
CBP2014_076_PAYANN_N_F_241_21
CBP2014_076_PAYANN_N_F_241_211
CBP2014_076_PAYANN_N_F_241_212
CBP2014_076_PAYANN_N_F_241_213
CBP2014_076_PAYANN_N_F_241_22
CBP2014_076_PAYANN_N_F_241_221
CBP2014_076_PAYANN_N_F_241_23
CBP2014_076_PAYANN_N_F_241_236
CBP2014_076_PAYANN_N_F_241_237
CBP2014_076_PAYANN_N_F_241_238
CBP2014_076_PAYANN_N_F_241_3133
CBP2014_076_PAYANN_N_F_241_311
CBP2014_076_PAYANN_N_F_241_312
CBP2014_076_PAYANN_N_F_241_313
CBP2014_076_PAYANN_N_F_241_314
CBP2014_076_PAYANN_N_F_241_315
CBP2014_076_PAYANN_N_F_241_316
CBP2014_076_PAYANN_N_F_241_321
CBP2014_076_PAYANN_N_F_241_322
CBP2014_076_PAYANN_N_F_241_323
CBP2014_076_PAYANN_N_F_241_324
CBP2014_076_PAYANN_N_F_241_325
CBP2014_076_PAYANN_N_F_241_326
CBP2014_076_PAYANN_N_F_241_327
CBP2014_076_PAYANN_N_F_241_331
CBP2014_076_PAYANN_N_F_241_332
CBP2014_076_PAYANN_N_F_241_333
CBP2014_076_PAYANN_N_F_241_334
CBP2014_076_PAYANN_N_F_241_335
CBP2014_076_PAYANN_N_F_241_336
CBP2014_076_PAYANN_N_F_241_337
CBP2014_076_PAYANN_N_F_241_339
CBP2014_076_PAYANN_N_F_241_42
CBP2014_076_PAYANN_N_F_241_423
CBP2014_076_PAYANN_N_F_241_424
CBP2014_076_PAYANN_N_F_241_425
CBP2014_076_PAYANN_N_F_241_4445
CBP2014_076_PAYANN_N_F_241_441
CBP2014_076_PAYANN_N_F_241_442
CBP2014_076_PAYANN_N_F_241_443
CBP2014_076_PAYANN_N_F_241_444
CBP2014_076_PAYANN_N_F_241_445
CBP2014_076_PAYANN_N_F_241_446
CBP2014_076_PAYANN_N_F_241_447
CBP2014_076_PAYANN_N_F_241_448
CBP2014_076_PAYANN_N_F_241_451
CBP2014_076_PAYANN_N_F_241_452
CBP2014_076_PAYANN_N_F_241_453
CBP2014_076_PAYANN_N_F_241_454
CBP2014_076_PAYANN_N_F_241_4849
CBP2014_076_PAYANN_N_F_241_481
CBP2014_076_PAYANN_N_F_241_483
CBP2014_076_PAYANN_N_F_241_484
CBP2014_076_PAYANN_N_F_241_485
CBP2014_076_PAYANN_N_F_241_486
CBP2014_076_PAYANN_N_F_241_487
CBP2014_076_PAYANN_N_F_241_488
CBP2014_076_PAYANN_N_F_241_492
CBP2014_076_PAYANN_N_F_241_493
CBP2014_076_PAYANN_N_F_241_51
CBP2014_076_PAYANN_N_F_241_511
CBP2014_076_PAYANN_N_F_241_512
CBP2014_076_PAYANN_N_F_241_515
CBP2014_076_PAYANN_N_F_241_517
CBP2014_076_PAYANN_N_F_241_518
CBP2014_076_PAYANN_N_F_241_519
CBP2014_076_PAYANN_N_F_241_52
CBP2014_076_PAYANN_N_F_241_521
CBP2014_076_PAYANN_N_F_241_522
CBP2014_076_PAYANN_N_F_241_523
CBP2014_076_PAYANN_N_F_241_524
CBP2014_076_PAYANN_N_F_241_525
CBP2014_076_PAYANN_N_F_241_53
CBP2014_076_PAYANN_N_F_241_531
CBP2014_076_PAYANN_N_F_241_532
CBP2014_076_PAYANN_N_F_241_533
CBP2014_076_PAYANN_N_F_241_54
CBP2014_076_PAYANN_N_F_241_541
CBP2014_076_PAYANN_N_F_241_55
CBP2014_076_PAYANN_N_F_241_551
CBP2014_076_PAYANN_N_F_241_56
CBP2014_076_PAYANN_N_F_241_561
CBP2014_076_PAYANN_N_F_241_562
CBP2014_076_PAYANN_N_F_241_61
CBP2014_076_PAYANN_N_F_241_611
CBP2014_076_PAYANN_N_F_241_62
CBP2014_076_PAYANN_N_F_241_621
CBP2014_076_PAYANN_N_F_241_622
CBP2014_076_PAYANN_N_F_241_623
CBP2014_076_PAYANN_N_F_241_624
CBP2014_076_PAYANN_N_F_241_71
CBP2014_076_PAYANN_N_F_241_711
CBP2014_076_PAYANN_N_F_241_712
CBP2014_076_PAYANN_N_F_241_713
CBP2014_076_PAYANN_N_F_241_72
CBP2014_076_PAYANN_N_F_241_721
CBP2014_076_PAYANN_N_F_241_722
CBP2014_076_PAYANN_N_F_241_81
CBP2014_076_PAYANN_N_F_241_811
CBP2014_076_PAYANN_N_F_241_812
CBP2014_076_PAYANN_N_F_241_813
CBP2014_076_PAYANN_N_F_241_99
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Abbreviations and Symbols
The following abbreviations and symbols are used with County Business Patterns data:

DWithheld to avoid disclosing data for individual companies; data are included in higher level totals
GLow noise infusion
HMedium noise infusion
SWithheld because estimate did not meet publication standards
NNot available or not comparable
XNot applicable
a0 to 19 employees
b20 to 99 employees
c100 to 249 employees
e250 to 499 employees
f500 to 999 employees
g1,000 to 2,499 employees
h2,500 to 4,999 employees
i5,000 to 9,999 employees
j10,000 to 24,999 employees
k25,000 to 49,999 employees
l50,000 to 99,999 employees
m100,000 employees or more

Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Noise Infusion
Noise infusion is a method of disclosure avoidance in which values for each firm are perturbed prior to table creation by applying a random noise multiplier to the receipts data for each business. Disclosure protection is accomplished in a manner that results in a relatively small change in the vast majority of cell values. Read more in the Technical Documentation

Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Number of establishments
An establishment is a single physical location at which business is conducted or services or industrial operations are performed. It is not necessarily identical with a company or enterprise, which may consist of one or more establishments. When two or more activities are carried on at a single location under a single ownership, all activities generally are grouped together as a single establishment. The entire establishment is classified on the basis of its major activity and all data are included in that classification.

Establishment-size designations are determined by paid employment in the mid-March pay period. The size group "1 to 4" includes establishments that did not report any paid employees in the mid-March pay period but paid wages to at least one employee at some time during the year.

Establishment counts represent the number of locations with paid employees any time during the year. This series excludes governmental establishments except for wholesale liquor establishments (NAICS 4248), retail liquor stores (NAICS 44531), Federally-chartered savings institutions (NAICS 522120), Federally-chartered credit unions (NAICS 522130), and hospitals (NAICS 622).
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Paid employees for pay period including March 12 (number)
Paid employees consist of full and part-time employees, including salaried officers and executives of corporations, who were on the payroll in the pay period including March 12. Included are employees on paid sick leave, holidays, and vacations; not included are proprietors or partners of unincorporated businesses.
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
First-quarter payroll ($1,000)
Represents payroll paid to persons employed at any time during the quarter January to March. Data is shown in thousands of dollars ($1,000).
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Annual payroll ($1,000)
Total annual payroll is shown in thousands of dollars ($1,000).
Noise range for number of paid employees for pay period including March 12
Indicates the cell value was changed using the Noise Infusion method of disclosure avoidance. For more information on this disclosure avoidance method, see http://www.census.gov/econ/cbp/methodology.htm#disclosure
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Noise range for annual payroll
Indicates the cell value was changed using the Noise Infusion method of disclosure avoidance. For more information on this disclosure avoidance method, see http://www.census.gov/econ/cbp/methodology.htm#disclosure
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Noise range for first-quarter payroll (%)
Indicates the cell value was changed using the Noise Infusion method of disclosure avoidance. For more information on this disclosure avoidance method, see http://www.census.gov/econ/cbp/methodology.htm#disclosure
Excerpt from: Social Explorer; U.S. Census Bureau; County Business Patterns 2014: Technical Documentation.
 
Data Withheld from Publication
In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer.

Noise Infusion
County Business Patterns continues to apply the Noise Infusion method of data protection that began in 2007. Noise infusion is a method of disclosure avoidance in which values for each establishment are perturbed prior to table creation by applying a random noise multiplier to the magnitude data (i.e., characteristics such as first-quarter payroll, annual payroll, and number of employees) for each company. Disclosure protection is accomplished in a manner that results in a relatively small change in the vast majority of cell values. Each published cell value has an associated noise flag, indicating the relative amount of distortion in the cell value resulting from the perturbation of the data for the contributors to the cell. The flag for ' low noise (G) indicates the cell value was changed by less than 2 percent with the application of noise, and the flag for ' moderate noise (H) indicates the value was changed by 2 percent or more but less than 5 percent. Cells that have been changed by 5 percent or more are suppressed from the published tables. Additionally, other cells in the table may be suppressed for additional protection from disclosure or because the quality of the data does not meet publication standards. Though some of these suppressed cells may be derived by subtraction, the results are not official and may differ substantially from the true estimate.

The number of establishments in a particular tabulation cell is not considered a disclosure; therefore, this information may be released without the addition of protective noise. For an introduction to the noise confidentiality protection method, see Using Noise for Disclosure Limitation of Establishment Tabular Data [PDF] by Timothy Evans, Laura Zayatz, and John Slanta in the Journal of Official Statistics (1998).

Noise infusion was first applied to CBP data in 2007. Prior to 2007, data were protected using the complementary cell suppression method.

Using Noise for Disclosure Limitation of Establishment Tabular Data


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