Explore this dataset, a vibrant part of the Nigeria Data Grid, offering a comprehensive view of Food Prices in Nigeria. Curated from the World Food Programme Price Database, it covers essentials like maize, rice, beans, fish, and sugar.

Unravel market dynamics, analyze trends, and gain unique insights for research, policymaking, and a nuanced understanding of the intricate tapestry of food pricing in Nigeria.

As of May 2024, the average price in Nigeria for a unit of frozen chicken added up to slightly over 4,829 Nigerian naira (NGN), which equaled 3.2 U.S. dollars. One kilogram of boneless beef cost 4,712 NGN (3.14 U.S dollars), whereas one piece of medium-sized chicken eggs reached nearly 151 NGN (10 cents).

Nigeria: Food price index, world average = 100: The latest value from 2021 is 101.71 index points, an increase from 84.436 index points in 2017. In comparison, the world average is 105.854 index points, based on data from 165 countries. Historically, the average for Nigeria from 2017 to 2021 is 93.073 index points. The minimum value, 84.436 index points, was reached in 2017 while the maximum of 101.71 index points was recorded in 2021.

Online data collected from the Jumia online store. The data is centered around food stuff price variations given, discounts, ratings and other variables. - Name - Product Name - Current Price - price at the time of data gathering - Old Price - Price before discount(if any) - % discount - percentage discount that applies - Rating - Product ratings{on a 0-5 scale} - Review Count - Number of reviews per product - Shipped? - Factor variable; whether or not a product was shipped from overseas - Official Store? - Factor variable; whether or not a product was bought from the official store

Cost of food in Nigeria increased 13.12 percent in October of 2025 over the same month in the previous year. This dataset provides - Nigeria Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In September 2023, the Consumer Index Price of food in Nigeria stood at 737.3, increasing from the previous year. Consumer price index is a measure that examines the changes in the purchasing power of a currency. It measures changes in the price level of the market basket of consumer goods and services purchased by households. The movement of the Consumer Price Index is the main measure for inflation rate.

This dataset contains Food Prices data for Nigeria, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets.

Source: FEWSNET via FAO: GIEWS, FPMA, Nigeria, SIMA - Niger, WFP Contributor: WFP - World Food Programme License: Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO)

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

        A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes

The data cover the following sub-national areas: Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Adamawa, Jigawa, Kebbi, Oyo, Sokoto, Zamfara, Lagos, Market Average

In April 2024, food prices in Nigeria increased considerably compared to April of the preceding year. Prices of sweet potato, plantain (unripe), and broken rice (ofada) increased the most. In particular, the price of a kilogram of unripe plantain grew by over 168 percent compared to the previous year, while the price of a tuber of yam rose by about 154 percent. Overall, none of the selected foods recorded a price decrease.

In 2023, overseas purchases of canned food were finally on the rise to reach 142K tons after two years of decline.

As of January 2021, the greatest majority of Nigerian households reported experiencing an increase in the prices of essential food items, as over ** percent of households said the prices of beans, cassava, yam, and sorghum shot higher since January 2020. Moreover, ** percent of respondents said that the prices of rice increased over the same timespan and ** percent found onion more expensive than it used to be.

Forecast: Food Imports in Nigeria 2022 - 2026 Discover more data with ReportLinker!

The size of the Nigeria Food Service Market market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 15.01% during the forecast period. Recent developments include: December 2022: Jumia Food, the leading online food delivery platform in Nigeria, partnered with Domino’s Pizza, a world-leading pizza brand, to offer consumers access to meals from the comfort of their homes. The partnership will provide a steady supply of Domino’s portfolio to consumers through the Jumia Food platform and ensure they receive their orders in a short time.April 2022: Sundry Foods Limited opened five new outlets in Lagos, Abuja, and Port Harcourt across the country. The new outlets include three brands: Kilimanjaro, Pizza Jungle, and Kiligrill.October 2021: Food Concepts, a leading quick service restaurant (QSR) operator in West Africa, opened its 200th store in the region. The fast-food chain operates stores across Nigeria and Ghana, trading under the Chicken Republic, PieXpress, and Chop Box brands.. Key drivers for this market are: Convenience Offered By Online Food Delivery Services, Attractive Offers And Memberships Along With Advertisements And Marketing By Players. Potential restraints include: Consumers Desire For Fine Dining Experience. Notable trends are: Increased tourist arrivals from Asia led to great exposure to diverse Asian cuisines.

The Nigeria Foodservice Market Report is Segmented by Foodservice Type (Cafes and Bars, Cloud Kitchen, Full Service Restaurants, Quick Service Restaurants), Outlet (Chained Outlets, Independent Outlets), Location (Leisure, Lodging, Retail, Standalone, Travel), Service Type (Dine-In, Takeaway, Delivery), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

In 2017, imports of non-domestic equipment for cooking or heating food in Nigeria amounted to X units, stabilizing at the previous year. In general, imports of non-domestic equipment for cooking or heating food continue to indicate a precipitous drop. The pace of growth appeared the most rapid in 2015, when it surged by X% year-to-year.

This dataset provides a sample of 100+ Nigerian food items. It includes information on the food's name, main ingredients, a brief description, food health (generally healthy, moderately healthy, or not healthy), food class (traditional, snack, breakfast, etc.), region of origin, spice level (mild, medium, or spicy), and price range (affordable, moderate, expensive, or very expensive).

This data can be used to explore the variety of Nigerian cuisine, understand the health profile of different dishes, and learn about regional specialties.

The Data can be used for: - Food Recommendation: Recommend dishes based on user preferences (e.g., spice level, region, dietary restrictions). - Price Prediction: Predict the price range of a dish based on ingredients. - Nutritional Analysis: Estimate the nutritional content of a dish based on ingredients.

Nigeria NG: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 19.100 % in 2020. This records an increase from the previous number of 17.300 % for 2019. Nigeria NG: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 14.350 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 19.100 % in 2020 and a record low of 11.000 % in 2015. Nigeria NG: Prevalence of Severe Food Insecurity in the Population: % of population 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: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Nigeria NG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 73.900 % in 2022. This records an increase from the previous number of 69.700 % for 2021. Nigeria NG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 50.300 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 73.900 % in 2022 and a record low of 34.700 % in 2015. Nigeria NG: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population 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: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Abstract

In this report, we present data from the emergency response survey conducted via telephone among households in three conflict affected regions of Nigeria, North East, North Central and South South between August-September 2017. This round is the second round of telephone data collected from a subsample of households in the Nigeria General Household Survey (GHS). The first round collected data on conflict exposure.

The purpose of this second round of data collection was to understand food insecurity in conflict affected regions. Armed conflict can have a detrimental effect on food security. This might be due to for example reduced agricultural production, or price increases due to malfunctioning markets. Food insecurity might be permanent, such that a household living below the poverty line has a constant struggle to acquire food from the market or produce food for their own use. In situations such as armed conflict, also better endowed households might be temporarily food insecure. In this report, we find that food insecurity is a major concern in all the three regions studied:

· The mean household in all the three regions is “highly food insecure” · North East of Nigeria is the most food insecure of the three regions · Reducing meals or portion size is the most important coping strategy in all three regions · Food prices are the most important source of food insecurity in all three regions · A large majority of households rely on the market as the main source of food in all regions. Price concerns should therefore be taken very seriously by policy makers. · Households in all three regions do not report there being an inadequate supply of food in the market.

Geographic coverage

Zones States Local Government Areas (LGAs) Households

Analysis unit

Individuals, Households and Communities

Universe

The Survey covered all household members. The questionnaire was administered to only one respondent per household - most often a male household head.

Kind of data

Sample survey data [ssd]

Sampling procedure

The food security survey was a telephone based survey conducted between August 15th and September 8th 2017. The interview was the second round of a telephone survey using a sub-set of the sample of GHS (General Household Survey) households. The first round of the telephone interview was administered during spring 2017 with 717 completed interviews with the following geographical distribution: 175 interviews in the North East, 276 in North Central and 266 in South South. The first round was focused on conflict exposure, while the second round discussed in this report focused on food insecurity in conflict affected regions.

In the three conflict affected geographical zones comprising of 16 states of Nigeria, households from LGS's that had high conflict exposure were oversampled chosen for a pilot sample, conducted before the telephone surveys. These LGS's were chosen based on the following criteria: The oversampled LGS's needed to have over 10 conflict events during 2012-14 recorded in the Armed Conflict Location & Event Data Project (ACLED) database.

The first round of the telephone survey (which took place after the pilot) first attempted to reach 742 households from the GHS panel, of which 529 could be reached and interviewed. The rest did not have phone numbers or functioning phone numbers (only 2.7 percent refused to answer). In order to increase the sample size to a level that was considered adequate for the survey, an additional 288 replacement households were included in the sample also from the GHS panel. Out of these replacement households 188 could be interviewed. Therefore altogether 1030 households were attempted to be reached, with a final sample size of 717 completed interviews.

Conflict affected areas were oversampled in order to have a large enough sample of households that in fact experienced conflict events in order to shed light on the type of events that have happened. A random sample of the zones might have given too small sample of conflict affected households and therefore restricted the analysis of the various types of conflict events. Due to the oversampling however, the sample drawn was not representative at the level of the geographical zone, as is the case in the GHS. Therefore in the analysis we use sampling weights that adjust for the propensity of being in a conflict affected LGA in order to ensure that the sample is representative at the level of the geographical zone.

During the second round of the survey 582 of the 717 households were re-interviewed on food security related issues (only the 717 were attempted to be reached). Of the 582 households 147 in the North East, 219 in North Central, and 216 in South South were interviewed. The attrition rates in our sample from round one to round two are hence 16 percent, 21 percent, and 19 percent for North East, North Central and South South, respectively. The attrition from the conflict survey round was mostly due to not being able to reach the respondents possibly due to non-functioning phone numbers. Only 3 percent of respondents refused to answer.

Similar telephone-based surveys are being conducted in six countries in Sub-Saharan Africa under the World Bank project "Listening to Africa". As a comparison, a mobile phone survey in Tanzania (see Croke et al. 2012 for details), had a high drop-out rate between the very first rounds from 550 to 458 respondents, but very low attrition for the subsequent rounds for the 458 respondents, who could reliably be reached by a mobile phone. In light of this reference point and also considering the fact that the households interviewed live in conflict affected regions, our attrition rates seem to be within reasonable limits.

Sampling deviation

No Deviation

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire is divided into 9 sections including a household roster. Information on food insecurity (the coping strategy index, CSI), food and market access, water quality, employment, income, employment and assets was collected.

Cleaning operations

Data was analyzed using descriptive statistics in Stata 15. All data analysis was tracked using comprehensive do files to ensure reproducibility. All statistics presented in this report have been adjusted with probability weights, when possible, to be representative at the level of the geopolitical zone. Demographics for each geopolitical zone were analyzed based on the complete GHS 2016 dataset.

Response rate

The first round of the telephone survey (which took place after the pilot), first attempted to reach 742 households from the GHS panel, of which 529 could be reached and interviewed. The rest did not have phone numbers or functioning phone numbers (only 2.7 per cent refused to answer). In order to increase the sample size to a level that was considered adequate for the survey, an additional 288 replacement households were included in the sample also from the GHS panel. Out of these replacement households 188 could be interviewed. Therefore altogether 1030 households were attempted to be reached, with a final sample size of 717 completed interviews. The response rate is 96%

Sampling error estimates

No Sampling Error

Data appraisal

Limitations Recall Bias In the pilot data collection, respondents were asked to report on conflict events that had taken place in their family and their community over the last six years. This extremely long recall period must be considered when drawing inferences from the data. People are likely to under-report less severe (and therefore less memorable) events, particularly those that happened to community members in larger communities. Respondents are also more likely to recall events that happened to family members than those that happened to community members. Other biases may also be at play - for example, those who have been most highly affected by conflict over the last six years may have moved to another community. These factors demonstrate the importance of implementing a regular data collection schedule, which would allow far more accurate data to be collected. Sampling Bias The GHS is a panel survey taking place over multiple rounds through a period of time. Therefore, households that are more mobile or households that are nomadic are less likely to be represented in this sample. This may be particularly relevant in circumstances where nomadic groups are named as perpetrators of conflict events. Power Dynamics There are some disadvantages to the phone system, and for this reason it should be supplemented by additional types of data collection wherever possible. In a mobile phone survey, the respondent is the person who owns a mobile phone. In many areas, particularly those highly affected by poverty and those located in rural areas, only one family member owns a mobile phone. This is generally the household head, who is most likely male. Furthermore, in many of these communities, women are not allowed to have access to mobile phones and are forbidden from speaking to outsiders, which can prohibit mobile phone-based data collection. Gender Dynamics The questionnaire was administered to only one respondent per household - most often a male household head. This means that crimes that carry stigma, especially sexual violence, are less likely to be reported. In this dataset, no sexual assault was reported despite data collected elsewhere that indicate that rape was used as a weapon by Boko Haram

Food prices in Nigeria are increasing due to steady inflation and vary from state to state. In Niger State, one kilogram of local rice, sold loose, costed roughly 732.3 Naira (around 0.58 U.S. dollars) in ِAugust 2023. One kilogram of yam tuber, on the other hand, reached about 785 naira, about 0.62 U.S. dollars, while brown beans, sold loose, costed 581.6 Naira per kilogram, some 0.46 U.S. dollars.