| Data Dictionary: | ZIP Codes Business Patterns 2014 |
| Data Source: | U.S. Census Bureau |
Full survey documentation is available here.
When selecting more than one component from the same geographical level, Social Explorer provides a total for these components in the "All Selected Geographies" column. This total is for the available geographies only within the same geographical level. When a value is missing from one or more components from the same geographical level, Social Explorer denotes it with an asterisk (*) in the All Selected Geographies column.
Social Explorer provides data up to three NAICS codes.
* Zip Codes 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. For more infromation on Noise indicators, please refer to: Data Withheld from Publication.
| abbr. | Meaning |
| D* | Withheld to avoid disclosing data for individual companies; data are included in higher level totals |
| G* | Low noise infusion |
| H* | Medium noise infusion |
| S* | Withheld because estimate did not meet publication standards |
When selecting more than one component from the same geographical level, Social Explorer provides a total for these components in the "All Selected Geographies" column. This total is for the available geographies only within the same geographical level. When a value is missing from one or more components from the same geographical level, Social Explorer denotes it with an asterisk (*) in the All Selected Geographies column.
Social Explorer provides data up to three NAICS codes.
* Zip Codes 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. For more infromation on Noise indicators, please refer to: Data Withheld from Publication.
| abbr. | Meaning |
| D* | Withheld to avoid disclosing data for individual companies; data are included in higher level totals |
| G* | Low noise infusion |
| H* | Medium noise infusion |
| S* | Withheld because estimate did not meet publication standards |
