BIRTH CONTROL FOR EFFECTIVE DECISION MAKING

The size of a population is a critical factor for economic development, Population growth increases the demand for essential resources like food, water, energy, and social services such as education and healthcare. Knowing the future population is essential for planning and decision-making. Population projections provide estimates needed for development planning, resource allocation, and service delivery. This paper, "Mathematical Model for Tanzania Population Growth," explores mathematical models for population growth in Tanzania and uses real census data to make predictions.

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The problem addressed in this paper is the rapid population growth in Tanzania and the need for accurate population projections. The growth of the Tanzanian population has significant implications for economic development, resource management, and the provision of essential services. Understanding population dynamics is crucial for planning and decision-making at the national level. Tanzania, a large East African country, has seen substantial population growth, making it one of the most populous countries in the world. The paper highlights that Tanzania's population has increased rapidly in a short span, and projections suggest further growth. The challenge is to provide accurate and cost-effective population projections to inform government policies and development plans.

The paper discusses the limitations of conducting frequent censuses due to cost and the need for alternative methods to estimate future population. To address this issue, the authors explore mathematical models, specifically the exponential and logistic models, to predict Tanzania's population growth. These models use historical data, such as census information, to project future population sizes. The problem is significant because rapid population growth can strain resources, infrastructure, and services, potentially affecting the quality of life for Tanzanian citizens. Effective population projections are essential for informed policy-making, resource allocation, and sustainable development in Tanzania (Kiware, 2022).