Abstract

NASC is an exercise designed to fill the existing data gap in the agricultural landscape in Nigeria. It is a comprehensive enumeration of all agricultural activities in the country, including crop production, fisheries, forestry, and livestock activities. The implementation of NASC was done in two phases, the first being the Listing Phase, and the second is the Sample Survey Phase. Under the first phase, enumerators visited all the selected Enumeration Areas (EAs) across the Local Government Areas (LGAs) and listed all the farming households in the selected enumeration areas and collected the required information. The scope of information collected under this phase includes demographic details of the holders, type of agricultural activity (crop production, fishery, poultry, or livestock), the type of produce or product (for example: rice, maize, sorghum, chicken, or cow), and the details of the contact persons. The listing exercise was conducted concurrently with the administration of a Community Questionnaire, to gather information about the general views of the communities on the agricultural and non-agricultural activities through focus group discussions.

The main objective of the listing exercise is to collect information on agricultural activities at household level in order to provide a comprehensive frame for agricultural surveys. The main objective of the community questionnaire is to obtain information about the perceptions of the community members on the agricultural and non-agricultural activities in the community.

Additional objectives of the overall NASC program include the following: · To provide data to help the government at different levels in formulating policies on agriculture aimed at attaining food security and poverty alleviation · To provide data for the proposed Gross Domestic Product (GDP) rebasing

Geographic coverage

Estimation domains are administrative areas from which reliable estimates are expected. The sample size planned for the extended listing operation allowed reporting key structural agricultural statistics at Local Government Area (LGA) level.

Analysis unit

Agricultural Households.

Universe

Population units of this operation are households with members practicing agricultural activities on their own account (farming households). However, all households in selected EAs were observed as much as possible to ensure a complete coverage of farming households.

Kind of data

Census/enumeration data [cen]

Sampling procedure

An advanced methodology was adopted in the conduct of the listing exercise. For the first time in Nigeria, the entire listing was conducted digitally. NBS secured newly demarcated digitized enumeration area (EA) maps from the National Population Commission (NPC) and utilized them for the listing exercise. This newly carved out maps served as a basis for the segmentation of the areas visited for listing exercise. With these maps, the process for identifying the boundaries of the enumeration areas by the enumerators was seamless.

The census was carried out in all the 36 States of the Federation and FCT. Forty (40) enumeration Areas (EAs) were selected to be canvassed in each LGA, the number of EAs covered varied by state, which is a function of the number of LGAs in the state. Both urban and rural EAs were canvassed. Out of 774 LGAs in the country, 767 LGAs were covered and the remaining 7 LGAs (4 in Imo and 3 in Borno States) were not covered due to insecurity (99% coverage). In all, thirty thousand, nine hundred and sixty (30,960) EAs were expected to be covered nationwide but 30,546 EAs were canvassed.

The Sampling method adopted involved three levels of stratification. The objective of this was to provide representative data on every Local Government Area (LGA) in Nigeria. Thus, the LGA became the primary reporting domain for the NASC and the first level of stratification. Within each LGA, eighty (80) EAs were systematically selected and stratified into urban and rural EAs, which then formed the second level of stratification, with the 80 EAs proportionally allocated to urban and rural according to the total share of urban/rural EAs within the LGA. These 80 EAs formed the master sample from which the main NASC sample was selected. From the 80 EAs selected across all the LGAs, 40 EAs were systematically selected per LGA to be canvassed. This additional level selection of EAs was again stratified across urban and rural areas with a target allocation of 30 rural and 10 urban EAs in each LGA. The remaining 40 EAs in each LGA from the master sample were set aside for replacement purposes in case there would be need for any inaccessible EA to be replaced.

Details of sampling procedure implemented in the NASC (LISTING COMPONENT). A stratified two-phase cluster sampling method was used. The sampling frame was stratified by urban/rural criteria in each LGA (estimation domain/analytical stratum).

First phase: in each LGA, a total sample of 80 EAs were allocated in each strata (urban/rural) proportionally to their number of EAs with reallocations as need be. In each stratum, the sample was selected with a Pareto probability proportional to size considering the number of households as measure of size.

Second phase: systematic subsampling of 40 EAs was done (10 in Urban and 30 in Rural with reallocations as needed, if there were fewer than 10 Urban or 30 Rural EAs in an LGA). This phase was implicitly stratified through sorting the first phase sample by geography.

With a total of 773 LGAs covered in the frame, the total planned sample size was 30920 EAs. However, during fieldwork 2 LGAs were unable to be covered due to insecurity and additional 4 LGAs were suspended early due to insecurity. For the same reason, replacements of some sampled EAs were needed in many LGAs. The teams were advised to select replacement units where possible considering appurtenance to the same stratum and similarity including in terms of population size. However about 609 EAs replacement units were selected from a different stratum and were discarded from data processing and reporting.

Sampling deviation

Out of 774 LGAs in the country, 767 LGAs were covered and the remaining 7 LGAs (4 in Imo and 3 in Borno states) were not covered due to insecurity (99% coverage).

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The NASC household listing questionnaire served as a meticulously designed instrument administered within every household to gather comprehensive data. It encompassed various aspects such as household demographics, agricultural activities including crops, livestock (including poultry), fisheries, and ownership of agricultural/non-agricultural enterprises.

The questionnaire was structured into the following sections: Section 0: ADMINISTRATIVE IDENTIFICATION Section 1: BUILDING LISTING Section 2: HOUSEHOLD LISTING (Administered to the Head of Household or any knowledgeable adult member aged 15 years and above).

Cleaning operations

Data processing of the NASC household listing survey included checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning was carried out electronically using the Stata software package. In some cases where data inconsistencies were found a call back to the household was carried out. A pre-analysis tabulation plan was developed and the final tables for publication were created using the Stata software package.

Sampling error estimates

Given the complexity of the sample design, sampling errors were estimated through re-sampling approaches (Bootstrap/Jackknife)

Nigeria's agricultural sector experienced a growth of 1.76 percent in the fourth quarter of 2024, compared to the previous quarter. However, in relation to the fourth quarter of the previous years under study, this represented a decline. Nonetheless, the overall growth rate reflects the ongoing importance of agriculture to Nigeria's economy, despite challenges facing the sector. Agriculture remains one of the crucial sources of employment and livelihood for many Nigerians. Employment trends in agriculture While agriculture continues to play a considerable role in Nigeria's economy, its share of total employment has been generally fluctuating recently. In 2023, the agricultural sector accounted for approximately 34 percent of the total employment. While this maintained the above 30 percent share observed since 2000, it represented a further decline. By extension, this trend suggests a slow but steady shift in the labor market, especially over the last three decades, with more workers moving into the services sector which now accounts for around 47.8 percent of total employment. The workforce transition from agriculture to services can be attributed mainly to rural-urban migration, technological advancement, and a rising informal sector. Land use and crop production Nigeria's agricultural landscape is characterized by extensive land use, with approximately 36.9 million hectares of arable land and 7.7 million hectares under permanent crops as of 2022. Crop production, a key component of the agricultural sector, saw growth of 1.2 percent in the third quarter of 2024. Roots and tubers are the main agricultural products grown in the country, besides cereals and oil crops. Overall, the sector is important to Nigeria’s economic diversification.

Nigeria Agricultural Production: Maize data was reported at 18,570.260 Tonne th in 2017. This records an increase from the previous number of 18,097.500 Tonne th for 2016. Nigeria Agricultural Production: Maize data is updated yearly, averaging 11,087.360 Tonne th from Jun 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 18,570.260 Tonne th in 2017 and a record low of 4,547.660 Tonne th in 1997. Nigeria Agricultural Production: Maize data remains active status in CEIC and is reported by National Bureau of Statistics of the Federal Republic of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.B003: Agricultural Production.

Crop production in Nigeria has shown varied growth patterns in recent years. Between the first quarter of 2019 and the second quarter of 2023, the sector’s growth rate fluctuated significantly, reflecting the challenges and opportunities inherent in the country’s agricultural landscape. The quarter-on-quarter changes further depict the sector’s vulnerability to climatic variability, logistics, and policy directions. While some quarters witnessed positive growth, others experienced contractions at constant 2010 prices. These dynamics highlight the persistent need for strategic investment to stabilize and accelerate agricultural output. Land and labor Nigeria’s agricultural potential is anchored in its vast land resources. As of 2023, the country boasted around 69.4 million hectares of agricultural land, with approximately 36.9 million hectares classified as arable. This substantial land base is a key driver for major crops such as maize, cassava, and yam, securing rural livelihoods and contributing to food security. Despite rapid urban growth, agriculture remains a major employer in Nigeria. In 2023, the sector accounted for about 34.3 percent of all jobs nationwide, emphasizing its socio-economic relevance to the country. Export potential Agricultural exports, while notable, reveal untapped opportunities. In 2023, Nigeria exported agricultural products valued at 2.43 billion U.S. dollars, making up a modest portion of total national exports. This performance signals room for greater value addition and diversification, as well as the importance of policies that can transform raw production into higher foreign exchange earnings for the country.

Actual value and historical data chart for Nigeria Agricultural Land Percent Of Land Area

Nigeria Exports: Agricultural Goods data was reported at 23,623.135 NGN mn in Mar 2019. This records a decrease from the previous number of 24,803.204 NGN mn for Feb 2019. Nigeria Exports: Agricultural Goods data is updated monthly, averaging 13,808.070 NGN mn from Jan 2016 (Median) to Mar 2019, with 39 observations. The data reached an all-time high of 38,717.960 NGN mn in Nov 2018 and a record low of 3,969.126 NGN mn in Sep 2016. Nigeria Exports: Agricultural Goods data remains active status in CEIC and is reported by National Bureau of Statistics of the Federal Republic of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.JA010: Exports by Sectors.

Nigeria: Value added in the agricultural sector as percent of GDP: The latest value from 2024 is 20.35 percent, a decline from 22.72 percent in 2023. In comparison, the world average is 9.68 percent, based on data from 151 countries. Historically, the average for Nigeria from 1981 to 2024 is 22.84 percent. The minimum value, 12.24 percent, was reached in 1981 while the maximum of 36.97 percent was recorded in 2002.

In 2023, Nigeria had an arable land area of roughly 36.9 million hectares. In addition, some 7.4 million hectares were under permanent crops, while about 25.2 million hectares were under permanent meadows and pastures. Agriculture 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. In fact, agricultural production ranks among the ten main export categories in Nigeria.

Nigeria Agricultural Production: Groundnut data was reported at 6,217.300 Tonne th in 2017. This records an increase from the previous number of 6,054.560 Tonne th for 2016. Nigeria Agricultural Production: Groundnut data is updated yearly, averaging 3,812.610 Tonne th from Jun 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 6,217.300 Tonne th in 2017 and a record low of 2,401.140 Tonne th in 2000. Nigeria Agricultural Production: Groundnut data remains active status in CEIC and is reported by National Bureau of Statistics of the Federal Republic of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.B003: Agricultural Production.

In 2021, agricultural exports from Nigeria stood at nearly ***** billion Nigerian naira (NGN) (*** billion U.S. dollars). This was the highest export value in the period reviewed. In 2020, the amount reached approximately ***** billion NGN (***** million U.S. dollars), up from a low of roughly *** billion NGN (*** million U.S. dollars) in the preceding year.

Actual value and historical data chart for Nigeria Agricultural Land Sq Km

In 2023, Nigeria had approximately 69.4 million hectares of agricultural land. Agriculture 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. In fact, agricultural production ranks among the ten main export categories from Nigeria.

Abstract

The programme for the World Census of Agriculture 2000 is the eighth in the series for promoting a global approach to agricultural census taking. The first and second programmes were sponsored by the International Institute for Agriculture (IITA) in 1930 and 1940. Subsequent ones up to 1990 were promoted by the Food and Agriculture Organization of the United Nations(FAO). FAO recommends that each country should conduct at least one agricultural census in each census programme decade and its programme for the World Census of Agriculture 2000 for instance corresponds to agricultural census to be undertaken during the decade 1996 to 2005. Many countries do not have sufficient resources for conducting an agricultural census. It therefore became an acceptable practice since 1960 to conduct agricultural census on sample basis for those countries lacking the resources required for a complete enumeration.

In Nigeria's case, a combination of complete enumeration and sample enumeration is adopted whereby the rural (peasant) holdings are covered on sample basis while the modern holdings are covered on complete enumeration. The project named “National Agricultural Sample Census” derives from this practice. Nigeria through the National Agricultural Sample Census (NASC) participated in the 1970's, 1980's, 1990's programmes of the World Census of Agriculture. Nigeria failed to conduct the Agricultural Census in 2003/2004 because of lack of funding. The NBS regular annual agriculture surveys since 1996 had been epileptic and many years of backlog of data set are still unprocessed. The baseline agricultural data is yet to be updated while the annual regular surveys suffered set back. There is an urgent need by the governments (Federal, State, LGA), sector agencies, FAO and other International Organizations to come together to undertake the agricultural census exercise which is long overdue. The conduct of 2006/2008 National Agricultural Sample Census Survey is now on course with the pilot exercise carried out in the third quarter of 2007.

The National Agricultural Sample Census (NASC) 2006/08 is imperative to the strengthening of the weak agricultural data in Nigeria. The project is phased into three sub-projects for ease of implementation; the Pilot Survey, Modern Agricultural Holding and the Main Census. It commenced in the third quarter of 2006 and to terminate in the first quarter of 2008. The pilot survey was implemented collaboratively by National Bureau of Statistics.

The main objective of the pilot survey was to test the adequacy of the survey instruments, equipments and administration of questionnaires, data processing arrangement and report writing. The pilot survey conducted in July 2007 covered the two NBS survey system-the National Integrated Survey of Households (NISH) and National Integrated Survey of Establishment (NISE). The survey instruments were designed to be applied using the two survey systems while the use of Geographic Positioning System (GPS) was introduced as additional new tool for implementing the project.

The Stakeholders workshop held at Kaduna on 21st-23rd May 2007 was one of the initial bench marks for the take off of the pilot survey. The pilot survey implementation started with the first level training (training of trainers) at the NBS headquarters between 13th - 15th June 2007. The second level training for all levels of field personnels was implemented at headquarters of the twelve (12) concerned states between 2nd - 6th July 2007. The field work of the pilot survey commenced on the 9th July and ended on the 13th of July 07. The IMPS and SPSS were the statistical packages used to develop the data entry programme.

Geographic coverage

State

Analysis unit

Household crop farmers

Universe

Crop farming household

Kind of data

Census/enumeration data [cen]

Sampling procedure

The survey was carried out in 12 states falling under 6 geo-political zones. 2 states were covered in each geo-political zone. 2 local government areas per selected state were studied. 2 Rural enumeration areas per local government area were covered and
4 Crop farming housing units were systematically selected and canvassed .

Sampling deviation

No deviation

Mode of data collection

Face-to-face [f2f]

Research instrument

The NASC crop questionnaire was divided into the following sections: - Holding identification - Holding characteristics - Access to land - Access to credit and funds used - Production input utilization, quantity and cost - Sources of inputs/equipment - Area harvested - Agric machinery - Production - Farm expenditure - Processing facilities - Storage facilities - Employment in agric. - Farm expenditure - Sales - Consumption - Market channels - Livestock farming - Fish farming

Cleaning operations

The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and CSPro for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise. The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already entered data. The completed questionnaires were collected and edited manually (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry (b) Cspro was used to design the data entry template provided as external resource (c) Ten operator plus two suppervissor and two progammer were used (d) Ten machines were used for data entry (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd

Response rate

The response rate at EA level was 100 percent, while 98.44 percent was achieved at crop farming housing units level

Sampling error estimates

No computation of sampling error

Data appraisal

The Quality Control measures were carried out during the survey, essentially to ensure quality of data. There were two levels of supervision involving the supervisors at the first level, NBS State Officers and Zonal Controllers at second level and finally the NBS Headquarters staff constituting the second level supervision.

Abstract

NASS is an exercise designed to provide accurate and up-to-date agricultural statistics that allows policymakers, researchers, and development partners to make informed decisions that directly impact the well-being of farmers, rural communities, and the broader economy. These statistics are essential for enhancing food security, improving productivity, and addressing regional disparities in agricultural performance. Additionally, robust agricultural data is vital in supporting Nigeria’s efforts to diversify its economy from oil dependency. By identifying key areas for investment, such as crop production, livestock management, and agro-processing, data can guide both public and private sector investments to boost agricultural output and expand exports. Moreover, they help track progress toward national goals while supporting Nigeria's efforts to meet global commitments like the Sustainable Development Goals (SDGs). Hence, NASS provides useful data for understanding the state of the agricultural sector and offer essential production and structural data to support evidence-based planning and implementation of agricultural programs vital for addressing current economic challenges and enhancing the livelihood of many Nigerians. This survey is also essential for monitoring and evaluating the effectiveness of existing agricultural programs and ensuring that resources are allocated efficiently. Capturing detailed data on agriculture practices, outputs, and challenges, the survey supports the planning and implementation of initiatives aimed at improving productivity, enhancing food security, and adapting to challenges like climate change and market fluctuations.

The objectives of the survey are to; i. provide data on agricultural production in 2022/ 2023 and the structure of the sector as a whole to assist the government in policy formulation and programme planning; ii. effectively and efficiently provide appropriate agricultural information to increase public awareness; and iii. provide data that could be used to compute agricultural sector contribution to the Gross Domestic Product (GDP).

Geographic coverage

The National Population Commission (NPC) provided the frame of Enumeration Areas (EAs), newly demarcated for the proposed 2023 Housing and Population Census. This was used as the primary sampling frame. Although data was collected across the 36 states and the Federal Capital Territory (FCT), some Local Government Areas (LGAs) were not covered due to insecurity. The LGAs covered during the survey were seven hundred and sixty-seven (767) out of the 774 LGAs in Nigeria due to security challenges. The affected states/LGAs are Borno state (Monguno, Kukawa and Abadam LGAs) and Orlu, Orsu, Oru East, and Njaba LGAs in Imo state. The number of EAs covered varied from state to state depending on the number of Agricultural EAs and LGAs. Nationally, a total of 15,591 EAs were selected across the 36 States of the Federation and FCT and a total of 152,485 households were designated to be covered.

Analysis unit

Agricultural Households.

Universe

The final sampling units used were agricultural households involved in crop/ livestock farming, and fishery households selected in a subsample of EAs among the sample of EAs covered during the extensive listing survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The final sampling units used were agricultural households involved in crop/ livestock farming, and fishery households selected in a subsample of EAs among the sample of EAs covered during the extensive listing survey. The sampling method of NASS-household is a stratified three-phased sampling as follows: -First phase: Stratified Probability Proportional to Size (PPS) selection of 80 EAs Second phase: systematic sub-sampling of 40 EAs for the extended listing Third phase: two-stage sampling for NASS-household

i. First stage: Stratification of EAs into Agricultural and non-agricultural EAs drawn from the 40EAs listed in each LGA ii. Second stage: Systematic sampling of 10 farming households (crop/ livestock farming) and a systematic selection of complementary households practicing only fishery in fishery-intensive LGAs (18) up to a maximum of 12 households were interviewed in the concerned EAs. That selection was stratified by sorting the listed farming households by various agricultural-related information including farming activities practiced, number of plots, livestock numbers in tropical livestock units, as well as the gender of the household head.

Sample Size and Reallocation A total of 15,591 Enumeration Areas (EAs) were selected for the NASS household survey. The sample was distributed across Local Government Areas (LGAs) based on the estimated total number of plots per LGA. Within each LGA, the sample was further allocated between urban and rural areas in proportion to the estimated agricultural population. In the selected EAs, 152,485 households were finally sampled.

Sampling deviation

The probabilities of selecting EAs for NASS households were derived from two stages: the likelihood of their selection in the listing sample and the probability of selection from the subsample of EAs chosen for NASS households. These probabilities were then combined with the probabilities of selecting farming households within the EAs to determine the final selection probabilities for farming households. The design weights were calculated as the inverse of these selection probabilities. These weights were further adjusted to account for non-responses, resulting in final sampling weights used in estimating means, totals, proportions, and other statistics through standard Horvitz-Thompson estimators. Special consideration was given to fishery-related estimates, ensuring that data from the independent sample of households engaged solely in fishery activities were fully incorporated. Due to the complexity of the sampling design, sampling errors were estimated using resampling methods such as Bootstrap and Jackknife techniques.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The NASS household questionnaire served as a meticulously designed instrument administered within selected households to gather comprehensive data. The questionnaire was structured into the following sections:

0A. HOLDING IDENTIFICATION 0B. ROSTER OF HOUSEHOLD MEMBERS 0C. AGRICULTURAL ACTIVITIES 0D. AGRICULTURALACTIVITIES 2. PLOT ROSTER AND DETAILS 3. CROP ROSTER 1A: TEMPORARY (NON-VEGETABLE) CROP PRODUCTION 1H: TEMPORARY CROP PRODUCTION (VEGETABLE CROPS) 1B: TEMPORARY CROP DESTINATION 2A: PERMANENT CROP PRODUCTION 2B: PERMANENT CROP DESTINATION 4: SEED AND PLANT USE 3C: INPUT USE 2(DS): PLOT ROSTER AND DETAILS 3(DS): CROP ROSTER 1A(DS): TEMPORARY (NON-VEGETABLE) CROP PRODUCTION - DRY SEASON 1H(DS): TEMPORARY CROP PRODUCTION (VEGETABLE CROPS) - DRY SEASON 1B(DS): TEMPORARY CROP DESTINATION - DRY SEASON 4(DS): SEED AND PLANT USE - DRY SEASON 3C(DS): INPUT USE - DRY SEASON 4A: LIVESTOCK IN STOCK 4B: CHANGE IN STOCK- LARGE AND MEDIUM-SIZED ANIMALS 4C: CHANGE IN STOCK-POULTRY 4G: MILKPRODUCTION 4H: EGG PRODUCTION 4I: OTHERLIVESTOCKPRODUCTS 4J:APIARYPRODUCTION (BEEKEEPING) 5A: FISH FARMING/AQUACULTUREPRODUCTION 6A: FISH HUNTING/CAPTURE 7A: FORESTRYPRODUCTION 9: LABOUR 2_GPS.PLOT GPS MEASUREMENT 99. END OFTHE SURVEY

Cleaning operations

Data processing and analysis involved data cleaning, data analysis, data verification/validation, and table generation. World Food Programme (WFP), Food and Agricultural Organization (FAO), and NBS carried out the data processing and analysis for both the household and corporate farms questionnaires. The corporate farm questionnaire involved manual editing as well as data entry.

Sampling error estimates

Given the complexity of the sample design, sampling errors were estimated through resampling approaches (Bootstrap/Jackknife)

GDP from Agriculture in Nigeria increased to 13398110.99 NGN Million in the second quarter of 2025 from 11510032.89 NGN Million in the first quarter of 2025. This dataset provides the latest reported value for - Nigeria Gdp From Agriculture - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In the second quarter of 2023, the agricultural sector generated about ** percent of Nigeria's gross domestic product. The largest contribution was from crop production, which covered nearly ** percent of the GDP. Agriculture accounted for a significant portion of Nigeria's GDP as a key activity for the country'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.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.

Nigeria Agriculture & Industrial Equipment Engine Market size is estimated to grow at a CAGR of around 12.21% during 2024-30. Discover growth drivers like construction sector expansion and data center construction, along with challenges and opportunities.

According to the results of a survey conducted in 2019, agricultural activities in Nigeria were more widespread in North than in South. Especially, **** percent of households living in the North East of the country declared to practice crop farming. Similarly, **** percent of households in the same region owned or rose livestock. On the other hand, the South West of Nigeria recorded the lowest percentage of households participating in agricultural activities. In total, crop farming was practiced by about ** percent of Nigerian households.

Actual value and historical data chart for Nigeria Agriculture Value Added Annual Percent Growth