# DESIGN AND IMPLEMENTATION OF COMPUTERIZED POPULATION ANALYSIS SYSTEM

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## DESIGN AND IMPLEMENTATION OF COMPUTERIZED POPULATION ANALYSIS SYSTEM

Chapter One: Designing and Implementing a Computerised Population Analysis System

1.0 Introduction

Demography is the statistical and mathematical study of human population number, composition, and spatial distribution, as well as their changes over time. A population census is used to collect data, as are registers, which keep track of occurrences such as births, deaths, migrations, marriages, divorces, sicknesses, and employment.

To do so, one must understand how they are computed and the issues they answer, which are covered in these four concepts: population change, population number standardisation, the demographic bookkeeping equation, and population composition.

Population change is measured by comparing one population size to another. As the world’s population grows, population change becomes an increasingly important component of demographics.

This is computed by subtracting one population size from an earlier census. The intercensal percentage change is the most effective measure of population change.

The intercensal percentage change is the absolute change in population between censuses divided by the population size in the previous census.

Next, multiply this by 100 to get the percentage. When this number is attained, the population increase of two or more different-sized nations can be precisely monitored and examined.

To make a substantial comparison, numbers must be adjusted to reflect the size of the population being studied. For example, the fertility rate is computed as the number of births to women of reproductive age divided by the total number of women in this age group (multiplied by 1000).

If these modifications were not applied, we would not be able to determine whether a country with a higher birth or death rate has a larger population of women of reproductive age or more births per eligible woman.

Standardisation is divided into two basic approaches: direct standardisation and indirect standardisation. Direct standardisation can be utilised when the population under study is big enough to ensure that age-specific rates remain constant.

Indirect standardisation is employed when a population is small enough to have a small number of occurrences (births, deaths, etc.). In this instance, procedures must be utilised to establish a standardised death rate (SMR) or standardised incidence rate (SIR).

Population composition is a description of a population based on factors like age, race, gender, or marital status. These descriptions may be required for comprehending the social dynamics revealed by historical and comparative study.

This data is frequently compared with a population pyramid. Population composition is also an essential aspect of historical research. Information spanning hundreds of years is not always useful since the quantity of persons for whom data is accessible may not give the necessary information. A lack of knowledge about the original data collection processes may preclude an appropriate assessment of data quality.

1.1 Statement of the Problem

Due to: (i) Difficulties in maintaining demographic data/information.

(ii) Miscalculation of demographic data, (iii) Difficulty acquiring demographic data/information.

(iv) Time spent searching for a specific demographic data/information on packed files.

(v) Time wasted on analysing demographic data/information

There is a need to establish a computerised spec analysis system for the National Population Commission in Enugu.

1.3 PURPOSES OF THE STUDY

The primary goal of this study is to remove mistakes in demographic data/information. This is achieved by creating a user-friendly and interactive computerised spec analysis system for the National Population Commission in Enugu.

By the time this software is built and implemented, the issues associated with the manual way of storing demographic information will be eliminated.

1.4 Significance of the Study

With the advancement of information technology, the study provides several benefits to the National Population Commission Enugu. A large number of files kept in offices will no longer exist since information will be stored on the computer using a database programme.

1.5 GOALS OF THE STUDY

The aims and objectives of this initiative are given below.

To give critical information for government decision making. To help individuals understand their communities To eliminate gaze work in the population census. To show improved motivation to census staff.

To reduce the workload involved with manually analysing demographic data/information.

To avoid errors associated with the manual way of analysing demographic data/information. To save time spent on analysing demographic data/information.

To keep the population council office clean and tidy, as much information will no longer be documented on paper but on a computer.

To facilitate the retrieval and updating of demographic data/information.

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