Datasets:

electricsheepafrica
/

africa-nigeria-company-income-tax-6a3d7b84

+---
+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
+pretty_name: "Company Income Tax | Africa (Nigeria official open data)"
+---
+# Company Income Tax | Africa (Nigeria official open data)
+33 rows - 1 Africa country - 2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+![rows](https://img.shields.io/badge/rows-33-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2026-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:** [Company Income Tax](https://microdata.nigerianstat.gov.ng/index.php/catalog/145/related-materials)
+- **Publisher:** National Bureau of Statistics, Nigeria
+- **Resource:** [Q1 2026 Company Income Tax Report](https://microdata.nigerianstat.gov.ng/index.php/catalog/145/download/1420)
+- **Format:** `ZIP`
+- **License:** [Other open license]()
+- **Packaging mode:** `tabular_resource`
+## Geographic coverage
+1 Africa country:
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `NGA` | 33 | 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-145-1420:0` |
+| `country_iso3` | `string` | ISO3 country code. | `NGA` |
+| `country_name` | `string` | Country name. | `Nigeria` |
+| `year` | `Int64` | Observation year. | `2026` |
+| `s_no` | `float64` | Source column. | `` |
+| `classification` | `string` | Source column. | `` |
+| `q1_2021` | `float64` | Source column. | `` |
+| `q2_2021` | `float64` | Source column. | `` |
+| `s_no_2` | `float64` | Source column. | `` |
+| `classification_2` | `string` | Source column. | `` |
+| `q3_2021` | `float64` | Source column. | `` |
+| `q4_2021` | `float64` | Source column. | `` |
+| `s_no_3` | `float64` | Source column. | `` |
+| `classification_3` | `string` | Source column. | `` |
+| `q1_2022` | `float64` | Source column. | `` |
+| `q2_2022` | `float64` | Source column. | `` |
+| `q3_2022` | `float64` | Source column. | `` |
+| `q4_2022` | `float64` | Source column. | `` |
+| `total` | `float64` | Source column. | `` |
+| `q1_2023` | `float64` | Source column. | `` |
+| `q2_2023` | `float64` | Source column. | `` |
+| `q3_2023` | `float64` | Source column. | `` |
+| `q4_2023` | `float64` | Source column. | `` |
+| `total_2` | `float64` | Source column. | `` |
+| `q1_2024` | `float64` | Source column. | `` |
+| `q2_2024` | `float64` | Source column. | `` |
+| `q3_2024` | `float64` | Source column. | `` |
+| `q4_2024` | `float64` | Source column. | `` |
+| `total_3` | `float64` | Source column. | `` |
+| `q1_2025` | `float64` | Source column. | `` |
+| `q2_2025` | `float64` | Source column. | `` |
+| `q3_2025` | `float64` | Source column. | `` |
+| `q4_2025` | `float64` | Source column. | `` |
+| `total_4` | `float64` | Source column. | `` |
+| `q1_2026` | `float64` | Source column. | `` |
+| `qonq` | `float64` | Source column. | `` |
+| `yony` | `float64` | Source column. | `` |
+| `share` | `float64` | Source column. | `` |
+| `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. | `Company Income Tax` |
+| `source_resource` | `string` | Source resource title. | `Q1 2026 Company Income Tax Report` |
+| `source_package_id` | `string` | CKAN package UUID. | `NGA-NBS-CIT` |
+| `source_resource_id` | `string` | CKAN resource UUID. | `nbs-nada-145-1420` |
+| `source_url` | `string` | Original source resource URL. | `https://microdata.nigerianstat.gov.ng/index.php/catalog/145/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-company-income-tax-6a3d7b84")
+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_company_income_tax_6a3d7b84_2026,
+  title        = {Company Income Tax | Africa (Nigeria official open data)},
+  author       = {National Bureau of Statistics, Nigeria},
+  year         = {2026},
+  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/145/related-materials},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-company-income-tax-6a3d7b84}}
+}
+```
+## 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/145/download/1420

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+size 38363

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+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "year",
+    "s_no",
+    "classification",
+    "q1_2021",
+    "q2_2021",
+    "s_no_2",
+    "classification_2",
+    "q3_2021",
+    "q4_2021",
+    "s_no_3",
+    "classification_3",
+    "q1_2022",
+    "q2_2022",
+    "q3_2022",
+    "q4_2022",
+    "total",
+    "q1_2023",
+    "q2_2023",
+    "q3_2023",
+    "q4_2023",
+    "total_2",
+    "q1_2024",
+    "q2_2024",
+    "q3_2024",
+    "q4_2024",
+    "total_3",
+    "q1_2025",
+    "q2_2025",
+    "q3_2025",
+    "q4_2025",
+    "total_4",
+    "q1_2026",
+    "qonq",
+    "yony",
+    "share",
+    "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"
+  ],
+  "generated_at": "2026-07-19T04:13:37Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-nigeria-company-income-tax-6a3d7b84",
+  "rows": 33,
+  "source": {
+    "api_base_url": "https://microdata.nigerianstat.gov.ng/index.php/api/catalog/search",
+    "country_iso3": "NGA",
+    "country_name": "Nigeria",
+    "group_names": "NATIONAL ECONOMY; Q1 2026 Company Income Tax Report; Company_Income_Tax_Q1_2026.zip; 0",
+    "license_id": "other-open",
+    "license_title": "Public NBS related material",
+    "license_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/145",
+    "organization_title": "National Bureau of Statistics, Nigeria",
+    "package_id": "NGA-NBS-CIT",
+    "package_name": "nga-nbs-cit",
+    "package_notes": "",
+    "package_page_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/145/related-materials",
+    "package_title": "Company Income Tax",
+    "package_type": "document",
+    "portal_title": "National Bureau of Statistics Microdata Catalog",
+    "portal_url": "https://microdata.nigerianstat.gov.ng",
+    "resource_created": "2024-12-06T16:40:19+00:00",
+    "resource_description": "Document, Report [doc/rep]",
+    "resource_filename": "Company_Income_Tax_Q1_2026.zip",
+    "resource_format": "ZIP",
+    "resource_id": "nbs-nada-145-1420",
+    "resource_last_modified": "2026-06-11",
+    "resource_mimetype": "",
+    "resource_name": "Q1 2026 Company Income Tax Report",
+    "resource_position": "0",
+    "resource_url": "https://microdata.nigerianstat.gov.ng/index.php/catalog/145/download/1420",
+    "source_catalog_id": "145",
+    "source_idno": "NGA-NBS-CIT",
+    "source_total_downloads": "4359",
+    "source_total_views": "8082",
+    "tag_names": "document; CIT; Document, Report [doc/rep]; Reports"
+  },
+  "year_max": 2026,
+  "year_min": 2026
+}