The yield on Nigeria 10Y Bond Yield rose to 16.29% on July 18, 2025, marking a 0 percentage point increase from the previous session. Over the past month, the yield has fallen by 2.73 points and is 3.95 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Nigeria 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

Nigeria NG: Cereal Yield: per Hectare data was reported at 1,443.600 kg/ha in 2016. This records an increase from the previous number of 1,443.500 kg/ha for 2015. Nigeria NG: Cereal Yield: per Hectare data is updated yearly, averaging 1,192.300 kg/ha from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 1,655.500 kg/ha in 1981 and a record low of 607.800 kg/ha in 1966. Nigeria NG: Cereal Yield: per Hectare data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Agricultural Production and Consumption. Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year.; ; Food and Agriculture Organization, electronic files and web site.; Weighted average;

Cereal yield (kg per hectare) in Nigeria was reported at 1656 kg in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Cereal yield (kg per hectare) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In the third quarter of 2024, Nigeria's crop production grew by around 1.2 percent compared to the same period of the previous year. During the selected period, the contribution of crop production to Nigeria's GDP experienced the highest increase in the fourth quarter of 2021. Agriculture contributes to a significant part of the country's GDP. It is a key activity for Nigeria's economy after oil. Nevertheless, agricultural activities provide a livelihood for many Nigerians, whereas the wealth generated by oil reaches a restricted share of people.

Forecast: Cereal Yield in Nigeria 2024 - 2028 Discover more data with ReportLinker!

Cereal yield of Nigeria climb by 2.29% from 1,619 kg per hectare in 2021 to 1,656 kg per hectare in 2022. Since the 0.47% decrease in 2020, cereal yield increased by 2.20% in 2022. Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year.

Forecast: Oil Crops Yield in Nigeria 2024 - 2028 Discover more data with ReportLinker!

Statistics illustrates consumption, production, prices, and trade of Oil Crops in Nigeria from 2007 to 2024.

Forecast: Corn Yield in Nigeria 2022 - 2026 Discover more data with ReportLinker!

Statistics illustrates consumption, production, prices, and trade of Maize in Nigeria from 2007 to 2024.

This Data Article houses secondary data, consisting of the available historic and current farm production data in Nigeria such as crop type, yields, prices, crop production inputs’ (e.g. labour, fertilizer, pesticide, seed, cash capital) as well as the Nigerian food consumption, ethanol demand, and international commodity (crop/food) trade (import and export) data. The data were collected from reputable online databases such as FAOSTAT, World Bank, IMF, USDA, NBS, IITA, etc., and through personal research visits to Nigerian government agencies such as Federal and State Ministries of Agricultural and Rural Development, State Agricultural Development Agency (ADP) in Nigeria, National (Nigerian) Bureau of Statistics (NBS) and others; and were assembled, screened, processed (tabulated them according to GAMS table requirements), and applied via General Algebraic Modelling System (GAMS) to analyse the Nigerian Biofuels (bioethanol production) Potential, assessing its policy impacts on domestic (Nigerian) food and energy securities, job creation, rural development, and the economy. Ndukwe Agbai Dick collected all the data, processed and applied them through GAMS to analyse the Nigerian Biofuels Potential during his PhD research studies at Newcastle University, England, between October 2010 and September, 2014. The research visit took place between March 1st and June, 2012. Research findings from the analysis of these data using GAMS have been partly documented in paper titled "Analysis of the Inherent Energy-Food Dilemma of the Nigerian Biofuels Policy using Partial Equilibrium Model: The Nigerian Energy-Food Model (NEFM)", which has been peer-reviewed and recommended for publication with major revisions in a reputable international high impact journal - Renewable and Sustainable Energy Reviews (RSER). Of course, the NEFM and results generated from it has been peer-reviewed and validated, acceptance for publication, and is now available online on the Renewable and Sustainable Energy Reviews Journal's website - a high impact and reputable international journal with impact factor of 9.184.

Rapid and accurate soybean yield prediction at an on-farm scale is important for ensuring sustainable yield increases and contributing to food security maintenance in Nigeria. We used multiple approaches to assess the benefits of rhizobium (Rh) inoculation and phosphorus (P) fertilization on soybean yield increase and profitability from large-scale conducted trials in the savanna areas of Nigeria [i.e., the Sudan Savanna (SS), Northern Guinea Savanna (NGS), and Southern Guinea Savanna (SGS)]. Soybean yield results from the established trials managed by farmers with four treatments (i.e., the control without inoculation and P fertilizer, Rh inoculation, P fertilizer, and Rh + P combination treatments) were predicted using mapped soil properties and weather variables in ensemble machine-learning techniques, specifically the conditional inference regression random forest (RF) model. Using the IMPACT model, scenario analyses were employed to simulate long-term adoption impacts on national soybean trade and currency. Our study found that yields of the Rh + P combination were consistently higher than the control in the three agroecological zones. Average yield increases were 128%, 111%, and 162% higher in the Rh + P combination compared to the control treatment in the SS, NGS, and SGS agroecological zones, respectively. The NGS agroecological zone showed a higher yield than SS and SGS. The highest training coefficient of determination (R2 = 0.75) for yield prediction was from the NGS dataset, and the lowest coefficient (R2 = 0.46) was from the SS samples. The results from the IMPACT model showed a reduction of 10% and 22% for the low (35% adoption scenario) and high (75% adoption scenario) soybean imports from 2029 in Nigeria, respectively. A significant reduction in soybean imports is feasible if the Rh + P inputs are large-scaled implemented at the on-farm field and massively adopted by farmers in Nigeria.

This dataset presents data used in the analysis published in the Final Report for the "Tropical Legumes Cluster Evaluation". CGIAR staff and their contractors collected the following survey data as part of the Tropical Legumes (TL) project, funded by the Bill & Melinda Gates Foundation. The TL project invested $67 million in modernizing legume breeding, seed production and distribution, and variety promotion systems throughout sub-Saharan Africa and South Asia. This file contains cleaned and coded survey data from TL surveys in four segments: (1) common bean in Tanzania, (2) groundnut in Tanzania, (3) groundnut in Nigeria, and (4) cowpea in Nigeria. CGIAR partners conducted these surveys from 2016 to 2017 to measure farmer adoption of improved TL-promoted varieties, as well as the effect of adoption on yields and income. Samples are locally and regionally defined in the case of common bean in Tanzania and groundnut in Nigeria, but nationally representative of legume farmers in the case of groundnut in Tanzania and cowpea in Nigeria. This work was funded by the Bill & Melinda Gates Foundation.

Nigéria: Cereal yield, kg per hectar: Pour cet indicateur, FAO fournit des données pour la Nigéria de 1961 à 2022. La valeur moyenne pour Nigéria pendant cette période était de 1188 kg per hectar avec un minimum de 608 kg per hectar en 1966 et un maximum de 1733 kg per hectar en 2016.

Nigeria Treasury Bill Rate: 364 Days data was reported at 19.187 % pa in Sep 2024. This records a decrease from the previous number of 21.347 % pa for Aug 2024. Nigeria Treasury Bill Rate: 364 Days data is updated monthly, averaging 10.588 % pa from Jan 2008 (Median) to Sep 2024, with 199 observations. The data reached an all-time high of 21.759 % pa in Jul 2024 and a record low of 0.233 % pa in Nov 2020. Nigeria Treasury Bill Rate: 364 Days data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.M001: Policy, Interbank and Treasury Bills Rate.

Statistics illustrates consumption, production, prices, and trade of Vegetables in Nigeria from 2007 to 2024.

As of July 18, 2025, the major economy with the highest yield on 10-year government bonds was Turkey, with a yield of ** percent. This is due to the risks investors take when investing in Turkey, notably due to high inflation rates potentially eradicating any profits made when using a foreign currency to investing in securities denominated in Turkish lira. Of the major developed economies, United Kingdom had one the highest yield on 10-year government bonds at this time with **** percent, while Switzerland had the lowest at **** percent. How does inflation influence the yields of government bonds? Inflation reduces purchasing power over time. Due to this, investors seek higher returns to offset the anticipated decrease in purchasing power resulting from rapid price rises. In countries with high inflation, government bond yields often incorporate investor expectations and risk premiums, resulting in comparatively higher rates offered by these bonds. Why are government bond rates significant? Government bond rates are an important indicator of financial markets, serving as a benchmark for borrowing costs, interest rates, and investor sentiment. They affect the cost of government borrowing, influence the price of various financial instruments, and serve as a reflection of expectations regarding inflation and economic growth. For instance, in financial analysis and investing, people often use the 10-year U.S. government bond rates as a proxy for the longer-term risk-free rate.

Statistics illustrates consumption, production, prices, and trade of Meat in Nigeria from 2007 to 2024.

Forecast: Sugar Cane Yield in Nigeria 2022 - 2026 Discover more data with ReportLinker!

Dataset of agricultural production estimates for Cross River state, Nigeria for 2000 to 2016.