We're thrilled to announce a significant enhancement to our International Product – an expansion that opens up a world of possibilities for economic analysis. With the addition of 10 new countries to our database, we're now covering a total of 76 countries, empowering users with broader insights and deeper understanding across diverse economies.
Topics: Data, Economics, Technology, Methodology
NAICS Codes 101: Understanding Industry Classification with 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.
Topics: Data, Economics, Technology, Methodology
If you review the results of an IMPLAN economic impact study, you will not find GDP listed in the results. Naturally the question arises, "What is the GDP?" Within IMPLAN results, that value is actually demonstrated in multiple ways.
Gross Domestic Product (GDP) is defined as the total market value of all final goods and services produced within a region in a given period of time (usually a quarter or year). GDP is the sum of value added at every stage of production (the intermediate stages) for all final goods and services produced within a region in a given period of time. In other words, GDP is the wealth created by industry activity.
Topics: Data, Economics, Technology, Methodology, Impact
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.
Topics: Data, Economics, Technology, Methodology, Impact
We are thrilled to announce the latest update of our Canada Provincial Product, with data from 2020! At IMPLAN, we are committed to providing our users with the most accurate and comprehensive economic data to drive informed decision-making and analysis.
Topics: Data
A Trusted Resource: Understanding IMPLAN Input-Output Models
Over the years, IMPLAN has gained the trust of users by providing valid and reliable data and analytics. In this blog post, we’re exploring the history of IMPLAN and of input-output models to show you how we’ve come to be relied on as a credible source for so many researchers and decision makers.
Topics: Data, Economics, Methodology, Impact
IMPLAN’s ever-expanding data suite just got even better. We’re excited to announce the release of our newest occupation data. This latest release comes with significant updates and enhancements that offer valuable insights into occupational trends and their impact on the economy.
Topics: Data, Economics, announcement, Impact, occupation data
Data season is here! At IMPLAN, we mark the holiday season with our annual data release. That means 2022 data has arrived in the IMPLAN Cloud application.
Topics: Data
Taking IMPLAN’s Occupation Data and Expanded Demographic Data for a Spin
Did you know that information on regional education levels can be found in IMPLAN Cloud and Data Library? Both our occupation data (available now!) and expanded demographic data (coming soon!) offer insights into educational attainment in all geographies available in IMPLAN within the United States.
Topics: Data, occupation data
Going Global: Introducing IMPLAN’s International Product
For decades, IMPLAN data has been trusted by businesses, government entities, nonprofits, academics, and so many others as the most transparent portrait of the economy. Today, we’re pleased to announce that our ever-expanding data suite is “going global” – and helping you do the same.
Topics: Data