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There are three primary datasets containing non-disclosed elements that are used to estimate IMPLAN employment and labor income data: The BLS’ Quarterly Census of Employment & Wages (QCEW), the BEA’s Regional Economic Accounts (REA), and the Census Bureau’s County Business Patterns (CBP). Therefore, in order to complete the IMPLAN database, the non-disclosed values must be estimated and […]
Sectoring schemes provide a means of classifying and aggregating Industry and Commodity data. Each database source can have its own unique format or scheme for presenting Industry data (e.g. IMPLAN scheme or the REIS scheme). An Industrial classification scheme allows categorization according to the type of products or services produced by the Industry or Industries. […]
In general, we leave this up to you. The multipliers are based on the structure of the economy of the year of the data. If you determine that the data year you have is an accurate representation of the current economy, then there is no need to update and purchase a more recent data year. […]
OVERVIEW We often receive questions about our source data for Employment and Labor Income. These questions typically arise when comparisons are made between IMPLAN Employment estimates and public employment data provided by government agencies. This document describes important differences among the datasets and provides some illustrative comparisons. The most important three datasets IMPLAN relies on […]
The U.S. control totals for the Household Personal Consumption Expenditures (PCE) come from the BEA’s National Income and Product Accounts (NIPA) for the current year. Beginning with the 2017 IMPLAN data, we now also incorporate state-level PCE data from the BEA (which are lagged one year but controlled to the current NIPA totals). There are […]
IMPLAN is a non-survey I-O model derived from a national model structural matrix. The national model represents the “average” condition for a particular Industry. Consequently, without adjustments for regional differences, the national production functions do not necessarily represent industries comprising a local or regional economy. Stevens and Trainor (1980) note that estimating regional trade flows […]
INTRODUCTION: Both Margins and Deflators are included in the IMPLAN database. Margins allow for consumer expenditures to be traced though retail, wholesale, and transportation Industries back to the industries who manufactured the product, allowing the appropriate allocation to the producing Industries. Built-in Deflators allow for adjustments of the Dollar Year you enter on the Impacts screen and the Dollar […]
IMPLAN data is updated annually, but the ‘current’ year lags behind the current calendar year. However, the data is a snapshot of the economy for the base year of the data set, the year for which the data was reported. Thus a 2004 Model of Orleans Parish will show the economy of 2004 (pre-Katrina) and […]
Databases are available for the U.S., all 51 states (includes Washington, D.C.), 5 US Island area territories, and all 3,000+ counties in the United States. 30,000+ zip code level files are available. We also have a number of international data sets. You can view information on data selection on our website. All IMPLAN datasets come in .ODF […]
Certain IMPLAN Sectors require additional explanation, either because they are not NAICS based or they have special properties. Below are the special Sector descriptions (sector numbers are based on the 536 sector scheme for 2013 and later IMPLAN data sets)1. SECTORS 52-64: CONSTRUCTION IMPLAN construction Sectors are classified by structure type (Census definitions) rather than […]
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