Rice Yield Estimation in Nigeria: An Evaluation of Regression and Ratio Estimation Methods

Tersoo Uba, Atsua Jonathan Ikughur, Onum Ene Sarah and Ipue Geoffrey Zaaya
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Tersoo Uba: Department of Statistics, Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria.
Atsua Jonathan Ikughur: Department of Statistics, Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria.
Onum Ene Sarah: Department of Statistics, Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria.
Ipue Geoffrey Zaaya: Department of Statistics, Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria.

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 7, 1461-1473

Abstract: This study estimates the average rice yield in Nigeria using regression and ratio estimators. A sample of 15 states was selected out of the 36 states and Federal Capital Territory, Abuja, and data on land area (Hectares) and yield (tons) were collected from 2013 to 2021. The results show that both estimation methods produce similar estimates of the mean yield, with the regression estimator yielding 2.2745 tons/Ha and the ratio estimator yielding 2.2667 tons/Ha. The R-squared values (87.51% and 87.51%) indicate that both models explain a significant proportion of the variation in the data. The study highlights the importance of accurate estimation of crop yields for agricultural planning and policy-making.

Date: 2025
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