Population forecast using Spectrum: Using Algerian and Canadian data in solved exercises (Dr Ali Kouaouci sociologist & demographer)

By Dr Ali Kouaouci

Struggling to master demographic projection methods that reflect real-world complexity? This hands-on course guide walks you through population forecast techniques using genuine Algerian and Canadian data - so you learn by doing, not just by reading theory. Workforce forecast, health needs forecast, and school-age population forecast are not abstract exercises here. Each is grounded in solved, step-by-step problems drawn from two contrasting national contexts, giving you the analytical confidence to apply these methods in your own research or professional practice. You will discover how to: - Build accurate population projections using proven demographic techniques - Produce a workforce forecast that reflects realistic labour-market dynamics - Develop a health needs forecast tied directly to projected population structures - Generate a school-age population forecast to support education planning decisions - Use Spectrum (Futures Group) software to run demographic projections on a personal computer - Access, download, and critically compare projections from the United Nations, the Population Reference Bureau, and the U.S. Census Bureau What makes this guide different from a standard demography textbook is the dual-country approach. By working through exercises rooted in both Algerian data and Canadian data, you experience firsthand how the same forecasting framework produces very different policy implications depending on context - a skill gap that most courses simply never close. Whether you are a graduate student preparing for a population studies programme, a public-health analyst building your technical toolkit, or a policy researcher who needs defensible demographic projections fast, this guide meets you where you are and moves you forward. By the final exercise, you will not just understand population forecasting - you will be able to do it.

• Format: Paperback
• Language: English
• ISBN: B0GCZDB7PJ
• ISBN13: 9798266214675
• Release Date: December 2025
• Publisher: Independently published
• Length: 219 Pages
• Weight: 1.15 lbs.
• Dimensions: 11.0" x 0.5" x 8.5"