Ebook: 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 However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on.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.

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.

“With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.”

Steve Murdock, Rice University, Houston, TX, USA

Steve Murdock, Rice University, Houston, TX, USA

Steve Murdock, Rice University, Houston, TX, USA

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.

“With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.”

Steve Murdock, Rice University, Houston, TX, USA

Steve Murdock, Rice University, Houston, TX, USA

Steve Murdock, Rice University, Houston, TX, USA

Content:
Front Matter....Pages i-xiv
Introduction....Pages 1-11
Basic Concepts....Pages 13-41
Data Sources....Pages 43-56
Basic Measures....Pages 57-104
Overview of Estimation Methods....Pages 105-114
Extrapolation Methods....Pages 115-135
Housing Unit Method....Pages 137-163
Regression Methods....Pages 165-185
Censal-Ratio Methods....Pages 187-194
Component Methods....Pages 195-206
Sample Based Methods....Pages 207-218
Other Methods....Pages 219-242
Special Cases and Adjustments....Pages 243-266
Evaluating Estimates....Pages 267-302
Guidelines for Developing and Presenting Estimates....Pages 303-312
De Facto Populations and Populations Impacted by Disasters....Pages 313-330
Historical Estimates....Pages 331-355
Future Directions in Population Estimation....Pages 357-368
Back Matter....Pages 369-411

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.

“With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.”

Steve Murdock, Rice University, Houston, TX, USA

Steve Murdock, Rice University, Houston, TX, USA

Steve Murdock, Rice University, Houston, TX, USA

Content:
Front Matter....Pages i-xiv
Introduction....Pages 1-11
Basic Concepts....Pages 13-41
Data Sources....Pages 43-56
Basic Measures....Pages 57-104
Overview of Estimation Methods....Pages 105-114
Extrapolation Methods....Pages 115-135
Housing Unit Method....Pages 137-163
Regression Methods....Pages 165-185
Censal-Ratio Methods....Pages 187-194
Component Methods....Pages 195-206
Sample Based Methods....Pages 207-218
Other Methods....Pages 219-242
Special Cases and Adjustments....Pages 243-266
Evaluating Estimates....Pages 267-302
Guidelines for Developing and Presenting Estimates....Pages 303-312
De Facto Populations and Populations Impacted by Disasters....Pages 313-330
Historical Estimates....Pages 331-355
Future Directions in Population Estimation....Pages 357-368
Back Matter....Pages 369-411
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