Datasets:

electricsheepafrica
/

nigerian_agriculture_seasonal_crop_yields

state stringclasses 37 values	lga stringclasses 518 values	crop stringclasses 8 values	season stringclasses 7 values	area_ha float64 100 50k	yield_t_ha float64 0.1 20	production_t float64 10 794k	quality_grade stringclasses 3 values
Rivers	Rivers-LGA-13	yam	2025_wet	306.5	12.41	3,802.8	Grade A
Kwara	Kwara-LGA-10	cassava	2022_dry	100.1	10.93	1,093.3	Grade A
Taraba	Taraba-LGA-13	sorghum	2023_wet	624.2	0.97	608	Grade A
Katsina	Katsina-LGA-02	yam	2023_wet	545	6.43	3,503.9	Grade A
Enugu	Enugu-LGA-07	rice	2024_wet	2,591.8	3.03	7,855.6	Grade A
Imo	Imo-LGA-03	oil_palm	2024_dry	165.5	3.04	503.9	Grade A
Borno	Borno-LGA-13	yam	2022_dry	100	5	500	Grade B
Delta	Delta-LGA-09	cassava	2023_dry	777.6	12.3	9,564.8	Grade B
FCT	FCT-LGA-02	cassava	2023_wet	100	10.35	1,034.7	Grade B
Cross River	Cross River-LGA-03	cassava	2022_dry	2,253.2	9.22	20,778.7	Grade B
Ogun	Ogun-LGA-10	yam	2022_dry	1,622.1	9	14,600.1	Grade A
Kogi	Kogi-LGA-07	cocoa	2022_dry	100	0.52	52	Grade A
Abia	Abia-LGA-02	cocoa	2022_dry	439	0.45	197.1	Grade B
Cross River	Cross River-LGA-07	sorghum	2022_wet	105.3	2.01	211.2	Grade B
Adamawa	Adamawa-LGA-13	rice	2025_wet	681.4	1.88	1,280.9	Grade B
Kogi	Kogi-LGA-09	rice	2025_wet	211.8	2.57	544.8	Grade B
Bauchi	Bauchi-LGA-01	millet	2024_wet	156.5	1.54	241.8	Grade B
Abia	Abia-LGA-08	sorghum	2025_wet	100	1.82	181.6	Grade B
Taraba	Taraba-LGA-08	rice	2025_wet	1,322.5	4.05	5,350	Grade B
Kaduna	Kaduna-LGA-08	maize	2022_dry	484.7	2.1	1,016.6	Grade B
Edo	Edo-LGA-04	millet	2022_dry	100	0.98	98.4	Grade A
Kebbi	Kebbi-LGA-02	rice	2024_dry	1,530.1	3.21	4,917.5	Grade B
Katsina	Katsina-LGA-08	cocoa	2025_wet	524.7	0.33	171.2	Grade C
Ogun	Ogun-LGA-01	millet	2022_dry	505.5	1.03	518.6	Grade A
Oyo	Oyo-LGA-08	yam	2023_wet	944.2	10.82	10,212.6	Grade B
Ebonyi	Ebonyi-LGA-11	cassava	2022_wet	196.8	11.81	2,323.6	Grade B
Kogi	Kogi-LGA-14	millet	2025_wet	883.2	0.83	730.1	Grade C
Sokoto	Sokoto-LGA-11	yam	2022_dry	419	10.43	4,370.3	Grade B
Abia	Abia-LGA-07	cassava	2024_dry	1,047.1	12.13	12,696.7	Grade B
Imo	Imo-LGA-04	yam	2022_wet	1,227.8	12.57	15,433.5	Grade C
Yobe	Yobe-LGA-14	cassava	2023_wet	101.7	7.67	780.1	Grade B
Sokoto	Sokoto-LGA-04	cocoa	2024_dry	1,455.9	0.35	505.2	Grade B
Kebbi	Kebbi-LGA-14	rice	2024_wet	152.2	3.85	586.3	Grade A
Plateau	Plateau-LGA-13	sorghum	2025_wet	6,763.1	1.98	13,398.1	Grade B
Bauchi	Bauchi-LGA-14	cassava	2022_dry	275.2	11.62	3,198.9	Grade A
Bauchi	Bauchi-LGA-07	rice	2023_dry	100	2.4	240.1	Grade A
FCT	FCT-LGA-07	sorghum	2025_wet	176.6	0.52	92.3	Grade C
Cross River	Cross River-LGA-12	yam	2022_dry	138.1	12.27	1,693.5	Grade C
Ebonyi	Ebonyi-LGA-14	cassava	2024_dry	172.6	12.04	2,078.3	Grade A
Benue	Benue-LGA-12	yam	2022_dry	1,900	15.32	29,109.9	Grade C
Kwara	Kwara-LGA-12	maize	2022_dry	265.2	1.71	452.3	Grade A
Rivers	Rivers-LGA-02	yam	2022_dry	100	13.74	1,373.7	Grade B
Imo	Imo-LGA-10	oil_palm	2023_wet	100	3.59	359	Grade B
Edo	Edo-LGA-08	oil_palm	2022_wet	353.8	3.47	1,225.9	Grade C
Oyo	Oyo-LGA-01	sorghum	2024_wet	100	1.18	118.1	Grade B
Oyo	Oyo-LGA-06	millet	2024_wet	246.1	0.68	166.9	Grade B
Bauchi	Bauchi-LGA-08	yam	2024_dry	393.3	10.91	4,289.5	Grade A
Yobe	Yobe-LGA-11	yam	2024_dry	1,338	5	6,689.9	Grade B
Niger	Niger-LGA-10	millet	2025_wet	100	0.48	48	Grade B
Lagos	Lagos-LGA-02	oil_palm	2023_wet	100	2.82	282.4	Grade B
Rivers	Rivers-LGA-09	maize	2023_dry	600.1	2.11	1,267.3	Grade B
Nasarawa	Nasarawa-LGA-14	cocoa	2022_wet	1,443.1	0.55	793.1	Grade A
Kogi	Kogi-LGA-04	cassava	2023_wet	919.9	8.12	7,468.3	Grade B
Gombe	Gombe-LGA-05	maize	2024_wet	492.6	1.98	974.7	Grade A
Kano	Kano-LGA-11	maize	2024_wet	759.9	1.94	1,474.7	Grade A
Borno	Borno-LGA-14	sorghum	2022_wet	353.7	0.87	307.7	Grade A
Sokoto	Sokoto-LGA-14	millet	2024_dry	100	1.37	137.1	Grade A
Ogun	Ogun-LGA-12	cassava	2025_wet	1,142.2	11.83	13,516.8	Grade A
Oyo	Oyo-LGA-06	yam	2024_wet	755.4	13.41	10,129.5	Grade B
Benue	Benue-LGA-07	cassava	2024_wet	227.2	10.55	2,395.9	Grade C
Akwa Ibom	Akwa Ibom-LGA-07	sorghum	2022_dry	335.1	1.8	604.7	Grade B
Cross River	Cross River-LGA-10	cocoa	2025_wet	194.5	0.55	106.8	Grade C
Ogun	Ogun-LGA-11	oil_palm	2022_dry	171.9	4.32	742.6	Grade B
Ebonyi	Ebonyi-LGA-08	cocoa	2025_wet	201.5	0.38	76.4	Grade B
Zamfara	Zamfara-LGA-12	sorghum	2024_wet	100	1.36	135.7	Grade A
Bayelsa	Bayelsa-LGA-01	cocoa	2025_wet	295.9	0.21	62.1	Grade A
Kano	Kano-LGA-12	oil_palm	2023_dry	100	1.04	104.4	Grade C
Cross River	Cross River-LGA-08	maize	2023_wet	1,291.6	4.44	5,732.1	Grade A
Plateau	Plateau-LGA-11	cassava	2024_dry	2,209.9	7.04	15,552.9	Grade B
Bayelsa	Bayelsa-LGA-08	yam	2022_wet	1,893.3	9.5	17,991.3	Grade C
Rivers	Rivers-LGA-13	maize	2023_dry	189.4	2.93	555.3	Grade B
Delta	Delta-LGA-10	oil_palm	2022_wet	100	4.31	430.6	Grade C
Ogun	Ogun-LGA-01	cassava	2024_dry	265.2	7.39	1,961.1	Grade C
FCT	FCT-LGA-07	maize	2022_dry	489.2	1.34	656.7	Grade B
Kano	Kano-LGA-06	cassava	2025_wet	100	8.6	859.9	Grade B
Bauchi	Bauchi-LGA-06	oil_palm	2023_dry	721.5	4.11	2,968.3	Grade B
Anambra	Anambra-LGA-14	yam	2024_wet	531.5	10.52	5,593.9	Grade C
Osun	Osun-LGA-06	cassava	2023_dry	343	12.04	4,129.1	Grade A
Abia	Abia-LGA-11	oil_palm	2023_wet	2,545.7	5.94	15,122.5	Grade B
Borno	Borno-LGA-03	sorghum	2023_wet	456.8	1.02	465	Grade B
Rivers	Rivers-LGA-14	cassava	2024_wet	356.8	12.55	4,479	Grade B
Gombe	Gombe-LGA-05	cocoa	2023_wet	100	0.29	28.5	Grade B
Lagos	Lagos-LGA-08	maize	2023_dry	371.6	1.52	564.9	Grade B
Abia	Abia-LGA-05	yam	2023_dry	678.6	9.18	6,233.2	Grade B
Nasarawa	Nasarawa-LGA-14	maize	2025_wet	5,263.7	2.66	14,009.3	Grade A
Plateau	Plateau-LGA-10	rice	2024_wet	222.4	3.55	790.3	Grade B
Yobe	Yobe-LGA-04	millet	2022_wet	1,932.8	0.79	1,528.2	Grade B
Ogun	Ogun-LGA-09	oil_palm	2023_dry	1,011.5	3.82	3,862.7	Grade C
Osun	Osun-LGA-13	maize	2024_wet	3,892.9	2.28	8,890.3	Grade B
Ondo	Ondo-LGA-03	yam	2024_wet	100	10.42	1,042.4	Grade A
Bayelsa	Bayelsa-LGA-01	yam	2023_wet	333.9	10.65	3,555.8	Grade C
Sokoto	Sokoto-LGA-08	maize	2022_wet	110.6	1.7	188.3	Grade B
Ondo	Ondo-LGA-03	maize	2022_dry	1,574.4	1.93	3,038.4	Grade B
Rivers	Rivers-LGA-06	maize	2024_dry	831	1.64	1,363.2	Grade B
Osun	Osun-LGA-14	sorghum	2024_dry	31,196.5	1.86	58,159.4	Grade C
Zamfara	Zamfara-LGA-11	maize	2023_wet	1,031.4	2.22	2,289.4	Grade A
Edo	Edo-LGA-10	cocoa	2022_wet	1,855.3	0.34	627.9	Grade B
Ogun	Ogun-LGA-11	millet	2025_wet	106.9	1.8	192.8	Grade A
Rivers	Rivers-LGA-08	cassava	2023_dry	100	12.3	1,229.8	Grade C
Ebonyi	Ebonyi-LGA-04	oil_palm	2024_wet	100	2.86	285.5	Grade A

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Nigeria Agriculture – Seasonal Crop Yields

Dataset Description

State/LGA-level yields by crop, season, area, production, and quality grade.

Category: Crop Production & Yields
Rows: 140,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)

Dataset Structure

Schema

state: string
lga: string
crop: string
season: string
area_ha: float
yield_t_ha: float
production_t: float
quality_grade: string

Sample Data

| state   | lga            | crop    | season   |   area_ha |   yield_t_ha |   production_t | quality_grade   |
|:--------|:---------------|:--------|:---------|----------:|-------------:|---------------:|:----------------|
| Rivers  | Rivers-LGA-13  | yam     | 2025_wet |     306.5 |        12.41 |         3802.8 | Grade A         |
| Kwara   | Kwara-LGA-10   | cassava | 2022_dry |     100.1 |        10.93 |         1093.3 | Grade A         |
| Taraba  | Taraba-LGA-13  | sorghum | 2023_wet |     624.2 |         0.97 |          608   | Grade A         |
| Katsina | Katsina-LGA-02 | yam     | 2023_wet |     545   |         6.43 |         3503.9 | Grade A         |
| Enugu   | Enugu-LGA-07   | rice    | 2024_wet |    2591.8 |         3.03 |         7855.6 | Grade A         |

Data Generation Methodology

This dataset was synthetically generated using:

Reference Sources:
- FAO (Food and Agriculture Organization) - crop yields, production data
- NBS (National Bureau of Statistics, Nigeria) - farm characteristics, surveys
- NiMet (Nigerian Meteorological Agency) - weather patterns
- FMARD (Federal Ministry of Agriculture and Rural Development) - extension guides
- IITA (International Institute of Tropical Agriculture) - agronomic research
Domain Constraints:
- Crop calendars and phenology (planting/harvest windows)
- Agro-ecological zone characteristics (Sahel, Sudan Savanna, Guinea Savanna, Rainforest)
- Nigeria-specific realities (smallholder dominance, market dynamics, conflict zones)
- Statistical distributions matching national agricultural patterns
Quality Assurance:
- Distribution testing (KS test, chi-square)
- Correlation validation (rainfall-yield, fertilizer-yield, yield-price)
- Causal consistency (DAG-based generation)
- Multi-scale coherence (farm → state aggregations)
- Ethical considerations (representative, unbiased)

See QUALITY_ASSURANCE.md in the repository for full methodology.

Use Cases

Machine Learning: Yield prediction, price forecasting, pest detection, supply chain optimization
Policy Analysis: Agricultural program evaluation, subsidy impact assessment, food security planning
Research: Climate-agriculture interactions, market dynamics, technology adoption patterns
Education: Teaching agricultural economics, data science applications in agriculture

Limitations

Synthetic data: While grounded in real distributions, individual records are not real observations
Simplified dynamics: Some complex interactions (e.g., multi-generational pest populations) are simplified
Temporal scope: Covers 2022-2025; may not reflect longer-term trends or future climate scenarios
Spatial resolution: State/LGA level; does not capture micro-level heterogeneity within localities

Citation

If you use this dataset, please cite:

@dataset{nigeria_agriculture_2025,
  title = {Nigeria Agriculture – Seasonal Crop Yields},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_seasonal_crop_yields}
}