IMPLAN Blog

For decades, IMPLAN has empowered organizations to understand the ripple effects of economic activity. Until now, that view has centered on backward linkages: how industries support others through what they purchase. But today, we’re proud to announce a breakthrough that flips the script.

With the release of IMPLAN’s Forward Linkages Insights, you can now follow the story in the other direction, capturing how price changes and industry contributions cascade forward through supply chains, shaping costs, outputs, and opportunities across the broader economy.

This isn’t just another feature update. It’s a new lens for economic impact analysis, unlocking downstream effects in ways never before possible in IMPLAN.

When you’re delving into economic analysis, you'll often encounter North American Industry Classification System (NAICS) codes. NAICS codes (pronounced like “snakes” without the “s”) are essential for categorizing businesses and understanding economic data. 

In today’s blog, we’ll break down what NAICS codes are, how they correspond with IMPLAN sectors, and why they matter for your economic impact analysis.

It’s important to keep an eye on economic diversity, especially in times of economic uncertainty and when supply and demand are shifting. The Shannon-Weaver index is a powerful tool for measuring how evenly or unevenly the employment in any region is distributed among its industries. In today’s blog, we’re exploring how the S-W index works in IMPLAN and what it means for your economic impact studies.

So, you’re hoping to gain insight and quantify the impact of an industry, a new or existing business, expected growth or changes, or a specific event to the economy of a particular region. Where do you even begin?

Local events that bring communities together for holidays or regional celebrations often become annual traditions deeply intertwined with an area’s identity. In recent years, however, some localities have halted events like holiday parades, block parties, and July Fourth fireworks due to increasing regulations and rising costs. The immediate savings are beneficial. However, the significant, positive effects these events have on local economies are being lost in the process. While few studies exist regarding the impact of non-tourist, community events on economies, the framework exists to reliably analyze their effects. Before jumping into the event analysis methodology however, there are several factors to assess.

Late in the summer of 1949, Wassily Leontief fed the 25-ton computer the last of the stiff paper punched with precisely-placed holes. The machine at Harvard University now had hundreds of thousands of data points about the United States economy.

IMPLAN is a platform that combines a set of extensive databases, economic factors, multipliers, and demographic statistics with a highly refined, customizable modeling system. The foundation upon which economic impact analyses are built is the input-output (I-O) model. Understanding I-O analysis and the assumptions they employ are crucial to properly performing and reporting your own analysis.

“How can $1 of spending support more than $1 in the local economy?”

We get questions like this about economic impact analyses all the time. The answer is very straightforward. The results of an input-output (I-O) analysis are broken down into direct, indirect, and induced effects. The combination of these overarching economic effects often total greater than the initial economic input. Each level of effects captures a different portion of the complete economic portrait. In order to understand the totality of an impact, you must conceptualize how each value is defined and what they represent.  

The foundation upon which IMPLAN economic impact analyses are built is the input-output (I-O) model, and the basis for I-O models are multipliers. Multipliers are rates of change that describe how a given change in a particular industry generates impacts in the overall economy (e.g. for every dollar spent in the economy an additional $0.25 of economic activity is generated locally, implying a multiplier of 1.25). What multipliers represent and how they are calculated can vary significantly. 

If you’re looking to conduct an economic impact analysis study, chances are someone like you has performed and published something similar using IMPLAN. Conversely, if you’re attempting to study something unlike anything else, between IMPLAN’s data, applications, and knowledgeable customer success and education services teams, you have all the tools you need to get started.

Developed by the United States Forest Service (USFS) in conjunction with the Federal Emergency Management Agency (FEMA) over 40 years ago, IMPLAN boasts an unrivaled history of economic expertise. The USFS remains an active user of IMPLAN today along with a multitude of local, state, and federal government entities, a broad range of renowned academics, economic development entities, professional associations, consultants, and the United Nations.