Subnational Population Estimates

Providing a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers.

Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates.

1: Introduction. - 2: Basic Concepts. - 3: Data Sources. - 4: Basic Measures. - 5: An Overview of Estimates Methods. - 6: Extrapolation Methods. - 7: Housing Unit Method. - 8: Regression Methods. - 9: Censal Ratio Methods. - 10: Component Methods. - 11: Sample Based Methods. - 12: Other Methods. - 13: Special Cases and Adjustments. - 14: Evaluating Estimates. - 15: Guidelines for Developing Estimates. - 16: De Facto Populations and Populations Impacted by Disasters. -17: Historical and Pre-historical Populations. - 18: Future Directions in Population Estimates. - Glossary. -A Demography Timeline Relevant to Population Estimates.