AN ASSESSMENT OF THE QUALITY OF DEMOGRAPHIC DATA A STUDY OF AGE-SEX STATISTICS FROM THE 2006 POPULATION CENSUS IN IMO STATE

CHAPTER ONE

INTRODUCTION

1.0 Background of the Study

The study of demography of a population is a crucial field of study that yields vital information for effective planning, including infrastructure, employment, housing, health, and food security plans, among other things. Furthermore, it is critical to comprehend human civilization and provide an explanation of the variables influencing population change over time.

Demography is defined as a statistical study of a population especially human beings (Andrew, 2004). It encompasses the statistical study of human populations with respect to their size, composition and how they change through the interplay of fertility, mortality and migration (Houghton, 2011). It is the natural and social history of human species or the mathematical knowledge of population of their physical, social, civil, intellectual and moral conditions (Shyrock and Siegel 1976).

It is very important in analyzing of data for population trends, patterns and dynamics including birth rates, death rates, migration and population growth and decline. This information is used to predict future population changes and inform decisions related to resource allocation, policy making and economic development. Demographic data can help provide a basis for understanding communities as they are now, where they've been and where they're headed. It can be a powerful tool for tracking change over time and for uncovering the needs or strengths of a community to guide planning, policy development or decision making. Age and sex are two important attributes on which demographic data are classified.

Content and coverage errors impede the reliability and quality of demographic data. Most population analysis like fertility and mortality are either age-sex dependent or age-sex selective (Kpedekpo, 1982).

In the study of demography, age heaping is the most common occurrence associated with age misreporting. Age heaping is considered to be a measure of data quality and consistency (Pardeshi, 2010).

1.1 Statement of the Problem

The importance of accurate age-sex data in demographic analysis cannot be over stressed as there are errors associated with age and sex data, there is need for investigation and evaluation of the quality of the data collected, because the bias introduced in studies can lead to wrong inferences and also affect the growth of the economy at large, because when it is error free, it will help policy makers to come up with policies that will improve the well-being of the populace.

1.2 Aim and Objectives

The aim of this study is to assess the quality of demographic data across the three senatorial zones in Imo State with the following objectives

To evaluate errors in the age and sex data in the three senatorial zones in Imo state
To check the structure of house hold population in Imo state and the three senatorial zones
To evaluate how each of the errors vary across the senatorial zones.
1. Significance of the Study

In demographic study the main facts used to categorize the household population are age and sex. They offer the means to ascertain the composition of structure of household population in particular and in the nation at large.

1.4 Scope and Limitation of the Study

The study is limited to evaluation of age data reported in single years and five year age group from 2006 population census for Imo state and across the three senatorial zones in Imo State.

Limitation:

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