Greg David

This document presents employment projections for New Hampshire's nine planning regions from 2020 to 2030, detailing anticipated growth rates and the impact of the COVID-19 pandemic on these trends. It outlines how these projections aid regional planners in master planning and housing assessments, and assist education and workforce professionals in evaluating regional workforce demands. Key areas covered include regional employment forecasts, occupational projections, and identification of occupations with favorable outlooks.

This document provides detailed long-term industry employment projections for various planning regions within New Hampshire from 2020 to 2030. It presents estimated and projected employment data categorized by NAICS code for both Goods-Producing and Service-Providing Industries, highlighting numeric and percentage changes, to inform understanding of future labor market trends.

This document provides New Hampshire Statewide long-term employment projections for various occupations, detailing estimated and projected employment figures, numeric and percentage changes, and average annual job openings due to both exits and transfers for the period between 2022 and 2032.

This document outlines the Urban Long-Term Occupational Projections for New Hampshire, detailing anticipated workforce trends and demands from 2022 to 2032. It provides comprehensive data across various occupational groups, including Management, Business and Financial Operations, Computer and Mathematical, Healthcare, and Education, by outlining estimated and projected employment changes, numerical and percentage growth, labor force exits, and occupational transfers.

This document provides an analysis of New Hampshire's economic and social indicators, with a primary focus on occupational trends and employment projections through 2032. Key focus areas include identifying high-growth sectors such as computer and mathematical, healthcare support, and community and social service occupations, as well as anticipating declines in administrative support and retail sales roles. It also explores the impact of Artificial Intelligence on the labor market, distinguishing between its complementary and displacement effects, to inform stakeholders about the evolving workforce landscape.