Datasets:

electricsheepafrica
/

africa-nigeria-national-household-kerosene-price-watch-8679fce8

+---
+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: "National Household Kerosene Price Watch | Africa (Nigeria official open data)"
+---
+# National Household Kerosene Price Watch | Africa (Nigeria official open data)
+102 rows - 1 Africa country - 2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+![rows](https://img.shields.io/badge/rows-102-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2025-orange)
+![indicators](https://img.shields.io/badge/indicators-0-purple)
+![license](https://img.shields.io/badge/license-other-lightgrey)
+## 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:** [National Household Kerosene Price Watch](https://microdata.nigerianstat.gov.ng/index.php/catalog/159/related-materials)
+- **Publisher:** National Bureau of Statistics, Nigeria
+- **Resource:** [NHK Report Nov-Dec 2025](https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/1347)
+- **Format:** `ZIP`
+- **License:** [Other open license]()
+- **Packaging mode:** `tabular_resource`
+## Geographic coverage
+1 Africa country:
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `NGA` | 102 | 2025 | 2025 | `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-159-1347:household-kerosene-november-2025:0` |
+| `country_iso3` | `string` | ISO3 country code. | `NGA` |
+| `country_name` | `string` | Country name. | `Nigeria` |
+| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `HOUSEHOLD_KEROSENE_NOVEMBER_2025__.xlsx::NHK NOVEMBER 2025` |
+| `year` | `Int64` | Observation year. | `2025` |
+| `north_central` | `string` | Source column. | `Abuja` |
+| `d_2262_3532664890085` | `float64` | Source column. | `2900.33333333333` |
+| `d_2702_800502298753` | `float64` | Source column. | `2153.49191666667` |
+| `d_2578_388659173385` | `float64` | Source column. | `2106.23635083333` |
+| `d_4_603071629576619` | `float64` | Source column. | `-2.1943693156037227` |
+| `d_13_969321120871541` | `float64` | Source column. | `-27.379507499138057` |
+| `north_central_2` | `string` | Source column. | `Abuja` |
+| `d_6202_56555640811` | `float64` | Source column. | `6630.01875` |
+| `d_10045_895609535155` | `float64` | Source column. | `9813.9676666667` |
+| `d_9668_463251994526` | `float64` | Source column. | `9478.063578749983` |
+| `d_3_757080226698605` | `float64` | Source column. | `-3.4227144344241083` |
+| `d_55_87845326367673` | `float64` | Source column. | `42.956814092720094` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2025` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2025` |
+| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2025` |
+| `source_provider` | `string` | Publishing organization. | `National Bureau of Statistics, Nigeria` |
+| `source_dataset` | `string` | Source package title. | `National Household Kerosene Price Watch` |
+| `source_resource` | `string` | Source resource title. | `NHK Report Nov-Dec 2025` |
+| `source_package_id` | `string` | CKAN package UUID. | `NGA-NBS-NHK` |
+| `source_resource_id` | `string` | CKAN resource UUID. | `nbs-nada-159-1347` |
+| `source_url` | `string` | Original source resource URL. | `https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/134` |
+| `license_id` | `string` | Source license identifier. | `other-open` |
+| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-19T04:13:01Z` |
+| `d_2278_76109076109` | `float64` | Source column. | `` |
+| `d_2561_807885538757` | `float64` | Source column. | `` |
+| `d_0_6430672728735742` | `float64` | Source column. | `` |
+| `d_12_421082487551644` | `float64` | Source column. | `` |
+| `d_6227_8359497645215` | `float64` | Source column. | `` |
+| `d_9798_192866220048` | `float64` | Source column. | `` |
+| `d_1_3417811170638743` | `float64` | Source column. | `` |
+| `d_57_32901356514574` | `float64` | Source column. | `` |
+## Usage
+```python
+from datasets import load_dataset
+ds = load_dataset("electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-8679fce8")
+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_national_household_kerosene_price_watch_8679fce8_2025,
+  title        = {National Household Kerosene Price Watch | Africa (Nigeria official open data)},
+  author       = {National Bureau of Statistics, Nigeria},
+  year         = {2025},
+  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/159/related-materials},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-8679fce8}}
+}
+```
+## 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/159/download/1347

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+size 32975

metadata/source_snapshot.json ADDED Viewed

	@@ -0,0 +1,80 @@

+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "source_sheet",
+    "year",
+    "north_central",
+    "d_2262_3532664890085",
+    "d_2702_800502298753",
+    "d_2578_388659173385",
+    "d_4_603071629576619",
+    "d_13_969321120871541",
+    "north_central_2",
+    "d_6202_56555640811",
+    "d_10045_895609535155",
+    "d_9668_463251994526",
+    "d_3_757080226698605",
+    "d_55_87845326367673",
+    "source_period_start_year",
+    "source_period_end_year",
+    "source_period_label",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at",
+    "d_2278_76109076109",
+    "d_2561_807885538757",
+    "d_0_6430672728735742",
+    "d_12_421082487551644",
+    "d_6227_8359497645215",
+    "d_9798_192866220048",
+    "d_1_3417811170638743",
+    "d_57_32901356514574"
+  ],
+  "generated_at": "2026-07-19T04:19:26Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-nigeria-national-household-kerosene-price-watch-8679fce8",
+  "rows": 102,
+  "source": {
+    "api_base_url": "https://microdata.nigerianstat.gov.ng/index.php/api/catalog/search",
+    "country_iso3": "NGA",
+    "country_name": "Nigeria",
+    "group_names": "NATIONAL ECONOMY; NHK Report Nov-Dec 2025; NHK_Nov_Dec_2025_Report.zip; 0",
+    "license_id": "other-open",
+    "license_title": "Public NBS related material",
+    "license_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/159",
+    "organization_title": "National Bureau of Statistics, Nigeria",
+    "package_id": "NGA-NBS-NHK",
+    "package_name": "nga-nbs-nhk",
+    "package_notes": "Fieldwork is done solely by over 700 NBS Staff in all the States of the federation, supported by supervisors whom internal and external observers monitor. Fuel Prices are collected across all the 774 local governments across all States and the FCT from over 10,000 respondents and outlets and the estimates reflect the weights derived from estimates of household expenditures on fuel and the actual prices of liters or gallon bought by the households. The average prices are reported for each state and the country. The NBS audit team subsequently conducts randomly selected verification of prices recorded.",
+    "package_page_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/159/related-materials",
+    "package_title": "National Household Kerosene Price Watch",
+    "package_type": "document",
+    "portal_title": "National Bureau of Statistics Microdata Catalog",
+    "portal_url": "https://microdata.nigerianstat.gov.ng",
+    "resource_created": "2025-01-16T10:26:25+00:00",
+    "resource_description": "Document, Report [doc/rep]",
+    "resource_filename": "NHK_Nov_Dec_2025_Report.zip",
+    "resource_format": "ZIP",
+    "resource_id": "nbs-nada-159-1347",
+    "resource_last_modified": "2025-01-16T10:49:56+00:00",
+    "resource_mimetype": "",
+    "resource_name": "NHK Report Nov-Dec 2025",
+    "resource_position": "4",
+    "resource_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/159/download/1347",
+    "source_catalog_id": "159",
+    "source_idno": "NGA-NBS-NHK",
+    "source_total_downloads": "52977",
+    "source_total_views": "26790",
+    "tag_names": "document; NHK; Document, Report [doc/rep]; Reports"
+  },
+  "year_max": 2025,
+  "year_min": 2025
+}