electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-87172700

Nigeria HIV-AIDS Indicator and Impact Survey (NAIIS) 2018 | Africa (Nigeria official open data)

3,802 rows - 1 Africa country - 2018 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX 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: Nigeria HIV-AIDS Indicator and Impact Survey (NAIIS) 2018
• Publisher: Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),
• Resource: NAIIS2018 Child Biomarker frequencies Table
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	3,802	2018	2018	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-65-856:cb: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.	CB
year	Int64	Observation year.	2018
country	float64	Source column.	``
frequency	float64	Source column.	35171.0
percent	float64	Source column.	100.0
cumulative_frequency	float64	Source column.	35171.0
cumulative_percent	float64	Source column.	100.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	string	Human-readable period inferred from source resource metadata.	2018
source_provider	string	Publishing organization.	Federal Ministry of Health (FMOH), National Agency for the Control of AI
source_dataset	string	Source package title.	Nigeria HIV-AIDS Indicator and Impact Survey (NAIIS) 2018
source_resource	string	Source resource title.	NAIIS2018 Child Biomarker frequencies Table
source_package_id	string	CKAN package UUID.	NGA-FMOH-NAIIS-2018-v2.1
source_resource_id	string	CKAN resource UUID.	nbs-nada-65-856
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/65/download/856
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-87172700")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NGA"]

Work with indicators

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

@misc{electric_sheep_africa_africa_nigeria_nigeria_hiv_aids_indicator_and_impact_survey_naiis_2018_87172700_2018,
  title        = {Nigeria HIV-AIDS Indicator and Impact Survey (NAIIS) 2018 | Africa (Nigeria official open data)},
  author       = {Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),},
  year         = {2018},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/65/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-87172700}}
}

License

Released under Other open license.

Original data (c) Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),. 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

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Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/65/download/856