Dataset Viewer
Auto-converted to Parquet
id
stringlengths
12
12
date
stringdate
2022-01-01 00:00:00
2025-03-30 00:00:00
state
stringclasses
37 values
value
float64
0
314
category
stringclasses
3 values
REC-00692812
2025-03-18
Osun
28.59
C
REC-00543215
2023-01-07
Akwa Ibom
102.94
A
REC-00721893
2023-07-18
Rivers
142.13
B
REC-00272889
2023-03-20
Ebonyi
112.42
C
REC-00226197
2025-01-17
Kebbi
109.58
B
REC-00851472
2023-01-02
Imo
96.16
B
REC-00821508
2024-09-13
Plateau
90.3
B
REC-00661394
2022-12-27
Bayelsa
36.25
B
REC-00339880
2024-09-02
Ekiti
114.18
A
REC-00641823
2024-12-19
Gombe
200.11
A
REC-00509371
2023-02-24
Adamawa
59.08
B
REC-00824038
2023-10-02
Bauchi
68.58
A
REC-00803251
2023-01-14
Yobe
119.62
C
REC-00412992
2024-07-03
Delta
0
A
REC-00876782
2022-09-27
Abia
97.4
A
REC-00062563
2024-07-26
Niger
127.88
A
REC-00932012
2024-08-25
Plateau
54.28
C
REC-00117998
2022-02-06
Imo
21.34
B
REC-00023032
2024-12-29
Ebonyi
66.23
B
REC-00680929
2024-08-12
Ebonyi
0
C
REC-00314183
2023-03-13
Ebonyi
153.04
B
REC-00071245
2022-05-21
Akwa Ibom
153.33
C
REC-00503080
2024-01-22
Oyo
118.82
A
REC-00730423
2025-02-06
Osun
168.54
A
REC-00714027
2024-03-05
Jigawa
15.36
C
REC-00233210
2024-07-18
Akwa Ibom
146.56
A
REC-00877226
2024-03-09
Zamfara
95.14
B
REC-00749371
2022-02-21
Bayelsa
0
B
REC-00749591
2023-08-25
Benue
111.37
A
REC-00060042
2022-01-12
Ondo
103.88
A
REC-00219087
2024-11-27
Enugu
79.49
B
REC-00198938
2022-07-26
Nasarawa
120.74
B
REC-00471679
2022-10-26
Kwara
159.77
B
REC-00368889
2022-03-26
Gombe
90.11
B
REC-00199266
2023-08-24
Akwa Ibom
126.81
A
REC-00704956
2023-05-12
Kogi
112.46
A
REC-00056716
2023-06-21
Ogun
118.71
C
REC-00947983
2023-04-15
Imo
51.2
A
REC-00324888
2022-05-23
Niger
60.2
C
REC-00271637
2024-06-18
Kogi
73.72
C
REC-00987801
2022-01-29
Jigawa
224.59
C
REC-00273048
2024-11-25
Ondo
95.09
C
REC-00056599
2024-05-06
Delta
91.11
C
REC-00588417
2025-02-20
Borno
152.56
B
REC-00871030
2022-02-08
Benue
32.01
C
REC-00617561
2022-04-29
Sokoto
111.29
B
REC-00566199
2022-02-16
Zamfara
131.28
A
REC-00606451
2024-10-29
Oyo
189.65
B
REC-00239671
2023-12-25
Kwara
108.37
A
REC-00482087
2022-09-17
Oyo
115.68
B
REC-00050907
2022-10-22
Niger
194.7
C
REC-00392922
2024-08-18
Enugu
115.57
B
REC-00387220
2025-03-06
Jigawa
104.82
A
REC-00752285
2022-01-03
Zamfara
127
B
REC-00493978
2024-11-11
Kebbi
81.58
B
REC-00913068
2025-03-27
Imo
63.86
A
REC-00346704
2024-01-28
Ogun
124.29
A
REC-00554312
2023-01-06
Ondo
0
A
REC-00424851
2024-02-07
Zamfara
101.79
A
REC-00680425
2024-12-22
Yobe
107.38
A
REC-00564597
2024-04-12
Jigawa
162.02
B
REC-00680719
2024-12-23
Rivers
117.01
A
REC-00622059
2023-09-10
Katsina
16.66
A
REC-00263737
2023-03-10
Kebbi
193.6
A
REC-00308304
2023-05-15
Nasarawa
63.17
C
REC-00222480
2024-05-14
Yobe
66.89
A
REC-00962723
2024-05-14
Oyo
116.56
B
REC-00420394
2025-01-22
Plateau
189.59
A
REC-00025731
2024-02-26
Kwara
106.96
B
REC-00726768
2022-07-12
Kaduna
64.78
C
REC-00662220
2024-07-03
Zamfara
107.86
A
REC-00729162
2022-03-31
Yobe
105.36
B
REC-00502188
2022-12-01
Kano
147.33
B
REC-00453295
2025-01-16
Akwa Ibom
14.55
A
REC-00166226
2023-08-29
Benue
134.18
C
REC-00850672
2022-02-14
Borno
74
B
REC-00491680
2022-11-04
Sokoto
97.83
C
REC-00676167
2023-03-01
Ondo
138.58
B
REC-00910487
2022-08-03
Kaduna
173.89
C
REC-00444444
2025-03-09
Kaduna
130.65
B
REC-00527774
2024-07-29
Katsina
196.96
C
REC-00200893
2023-10-31
Ogun
102.5
C
REC-00789414
2022-08-01
Ogun
152.72
B
REC-00985632
2023-10-10
Bayelsa
100.5
B
REC-00277912
2023-09-22
Niger
76.33
C
REC-00478262
2023-08-12
Delta
7.65
B
REC-00140457
2023-02-10
Imo
102.42
A
REC-00191985
2024-01-19
Bauchi
145.91
A
REC-00568115
2024-03-21
Katsina
77.84
A
REC-00976839
2024-08-06
Ogun
14.47
B
REC-00483303
2022-09-02
FCT
98.82
C
REC-00505555
2024-12-06
Delta
128.61
C
REC-00652156
2022-10-29
Oyo
195.32
A
REC-00872342
2024-07-08
Niger
100.63
B
REC-00402217
2022-12-27
Kano
0
A
REC-00106765
2023-11-26
Yobe
142.33
C
REC-00470752
2022-01-07
Delta
100.13
C
REC-00112541
2025-01-24
Oyo
92.31
B
REC-00611995
2023-07-05
Kebbi
120.88
B
REC-00547855
2023-07-28
Osun
77.55
B
End of preview. Expand in Data Studio

Nigeria Agriculture – Warehouse Storage

Dataset Description

Synthetic Supply Chain & Logistics data for Nigeria agriculture sector.

Category: Supply Chain & Logistics
Rows: 100,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)

Dataset Structure

Schema

  • id: string
  • date: string
  • state: string
  • value: float
  • category: string

Sample Data

| id           | date       | state     |   value | category   |
|:-------------|:-----------|:----------|--------:|:-----------|
| REC-00692812 | 2025-03-18 | Osun      |   28.59 | C          |
| REC-00543215 | 2023-01-07 | Akwa Ibom |  102.94 | A          |
| REC-00721893 | 2023-07-18 | Rivers    |  142.13 | B          |
| REC-00272889 | 2023-03-20 | Ebonyi    |  112.42 | C          |
| REC-00226197 | 2025-01-17 | Kebbi     |  109.58 | B          |

Data Generation Methodology

This dataset was synthetically generated using:

  1. 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
  2. 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
  3. 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 – Warehouse Storage},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_warehouse_storage}
}

Related Datasets

This dataset is part of the Nigeria Agriculture & Food Systems collection:

Contact

For questions, feedback, or collaboration:

Changelog

Version 1.0.0 (October 2025)

  • Initial release
  • 100,000 synthetic records
  • Quality-assured using FAO/NBS/NiMet reference data
Downloads last month
21

Collection including electricsheepafrica/nigerian_agriculture_warehouse_storage