| --- |
| license: other |
| language: |
| - en |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| multilinguality: monolingual |
| size_categories: |
| - n<1K |
| tags: |
| - tabular |
| - zip |
| - africa |
| - nigeria |
| - official-statistics |
| - open-data |
| - economics |
| pretty_name: "Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)" |
| --- |
| |
| # Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data) |
|
|
| 43 rows - 1 Africa country - 2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) |
|
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|
|
| ## TL;DR |
|
|
| This dataset packages one official `ZIP` resource from **Nigeria** as |
| ML-ready Parquet. The source file is the provenance boundary; all usable |
| indicators or tabular columns from the resource stay together in this repo. |
|
|
| ## About the source |
|
|
| - **Source:** [Automotive Gas Oil (Diesel) Price Watch](https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials) |
| - **Publisher:** National Bureau of Statistics, Nigeria |
| - **Resource:** [AGO Report May 2026](https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/1425) |
| - **Format:** `ZIP` |
| - **License:** [Other open license]() |
| - **Packaging mode:** `tabular_resource` |
|
|
| ## Geographic coverage |
|
|
| 1 Africa country: |
|
|
| | Country | Rows | First year | Last year | Name | |
| |---------|-----:|-----------:|----------:|------| |
| | `NGA` | 43 | 2026 | 2026 | `Nigeria` | |
|
|
| ## Indicators or Resource Contents |
|
|
| - This source file is packaged as a normalized tabular resource. |
|
|
| ## Schema |
|
|
| | Column | Type | Description | Example | |
| |--------|------|-------------|---------| |
| | `source_record_id` | `string` | Stable row identifier for tabular resources. | `nbs-nada-158-1425:0` | |
| | `country_iso3` | `string` | ISO3 country code. | `NGA` | |
| | `country_name` | `string` | Country name. | `Nigeria` | |
| | `year` | `Int64` | Observation year. | `2026` | |
| | `north_central` | `string` | Source column. | `Abuja` | |
| | `1920` | `float64` | Source column. | `1800.16666666667` | |
| | `d_2454_2534496860703` | `float64` | Source column. | `2492.9780197935456` | |
| | `d_3252_915776639667` | `float64` | Source column. | `3319.388228589593` | |
| | `d_69_380938045697` | `float64` | Source column. | `84.39338368241387` | |
| | `d_32_54196615495256` | `float64` | Source column. | `33.149518456824815` | |
| | `south_east` | `string` | Source column. | `North Central` | |
| | `d_3297_004046573781` | `float64` | Source column. | `3252.915776639667` | |
| | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2026` | |
| | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` | |
| | `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2026` | |
| | `source_provider` | `string` | Publishing organization. | `National Bureau of Statistics, Nigeria` | |
| | `source_dataset` | `string` | Source package title. | `Automotive Gas Oil (Diesel) Price Watch` | |
| | `source_resource` | `string` | Source resource title. | `AGO Report May 2026` | |
| | `source_package_id` | `string` | CKAN package UUID. | `NGA-NBS-AGO` | |
| | `source_resource_id` | `string` | CKAN resource UUID. | `nbs-nada-158-1425` | |
| | `source_url` | `string` | Original source resource URL. | `https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/142` | |
| | `license_id` | `string` | Source license identifier. | `other-open` | |
| | `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-19T04:13:01Z` | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-f5856528") |
| df = ds["train"].to_pandas() |
| print(df.head()) |
| ``` |
|
|
| ### Filter to one country |
|
|
| ```python |
| sample_country = df[df["country_iso3"] == "NGA"] |
| ``` |
|
|
| ### Work with indicators |
|
|
| ```python |
| if "indicator_id" in df.columns: |
| print(df["indicator_id"].value_counts().head()) |
| sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns]) |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{electric_sheep_africa_africa_nigeria_automotive_gas_oil_diesel_price_watch_f5856528_2026, |
| title = {Automotive Gas Oil (Diesel) Price Watch | Africa (Nigeria official open data)}, |
| author = {National Bureau of Statistics, Nigeria}, |
| year = {2026}, |
| url = {https://microdata.nigerianstat.gov.ng/index.php/catalog/158/related-materials}, |
| publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, |
| howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-automotive-gas-oil-diesel-price-watch-f5856528}} |
| } |
| ``` |
|
|
| ## License |
|
|
| Released under [Other open license](). |
|
|
| Original data (c) National Bureau of Statistics, Nigeria. When using this dataset, please cite both the |
| original source above and the Electric Sheep Africa repackaging. |
|
|
| ## About Electric Sheep |
|
|
| Electric Sheep Africa is part of the Electric Sheep mission: a unified, |
| ML-ready data layer for Africa on Hugging Face. We pull data from authoritative |
| open sources, normalize the schemas, package as Parquet, and publish with |
| consistent dataset cards so researchers and developers can use `load_dataset()` |
| to start working in seconds. |
|
|
| Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica) |
|
|
| --- |
|
|
| Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: |
| https://microdata.nigerianstat.gov.ng/index.php/catalog/158/download/1425 |
|
|
