Statistical Analysis of Registered Live Birth in Nigeria, A Case Study of Tarka Local Government Area, Benue State
Abstract
This study examines the statistical analysis of registered live births in Tarka Local Government Area, Benue State, Nigeria, with a focus on trend analysis, seasonal variation, and forecasting. The objective of the study is to assess the registration of live births in Tarka Local Government between 2017-2022, determine the trend in live birth registration, and make projections for future registered live births. The methodology employed includes time series analysis, using techniques such as moving average, semi-average, and least square methods. Data on birth registration were sourced from the National Population Commission (NPC), Tarka Local Government. The results show an upward trend in live birth registration, with a seasonal index indicating highest registration in September (128.76%) and lowest in June (72.21%). The forecast for 2022-2025 indicates a continued increase in birth registration. The study concludes that birth registration is essential for population planning, education, and healthcare. Recommendations include educating the masses on the importance of birth registration, establishing more registration centers in rural areas, and enforcing compulsory birth registration.
Keywords
Statistical Analysis, Registered Live Birth, Forecasting, Birth Registration
Citations
IRE Journals:
Yese Hyacinth, Akever Cornelius Terhemba, Wegh Julius Terhemen, Kaainjo Vera, Anhwar Ortyom Thaddeus; Kile Janet Member "Statistical Analysis of Registered Live Birth in Nigeria, A Case Study of Tarka Local Government Area, Benue State" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 1-12 https://doi.org/10.64388/IREV9I10-1715821
IEEE:
Yese Hyacinth, Akever Cornelius Terhemba, Wegh Julius Terhemen, Kaainjo Vera, Anhwar Ortyom Thaddeus; Kile Janet Member
"Statistical Analysis of Registered Live Birth in Nigeria, A Case Study of Tarka Local Government Area, Benue State" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1715821
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