electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-59376dc0

Nigeria Hiv Aids Indicator and Impact Survey Naiis 2018 | Africa (Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),)

3,843 rows - 1 Africa country/area - 2018 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 3,843 rows from Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),, covering Nigeria Hiv Aids Indicator and Impact Survey Naiis 2018. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.

Source-provided context: Table [tbl]

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	3,843
Countries/areas	1
First period	2018
Last period	2018
Indicators	0
Columns	27
Source format	XLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
NGA	3,843	2018	2018	Nigeria

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	nbs-nada-65-845:cb-frequencies:0
country_iso3	string	ISO3 country or area code.	NGA
country_name	string	Country or area name.	Nigeria
source_sheet	string	Source column from the original resource.	CB Frequencies
year	int64	Observation year.	2018
country	double	Source column from the original resource.	``
frequency	double	Source column from the original resource.	35171.0
percent	double	Source column from the original resource.	100.0
cumulative_frequency	double	Source column from the original resource.	35171.0
cumulative_percent	double	Source column from the original resource.	100.0
source_period_start_year	int64	Start year inferred from source metadata.	2018
source_period_end_year	int64	End year inferred from source metadata.	2018
source_period_label	string	Source column from the original resource.	2018
source_provider	string	Publishing organization.	Federal Ministry of Health (FMOH), National Agency for the Control of...
source_dataset	string	Source dataset or package title.	Nigeria HIV-AIDS Indicator and Impact Survey (NAIIS) 2018
source_resource	string	Source resource title, table name, or file name.	NAIIS2018 Child Biomarker Frequencies and Content Tables
source_package_id	string	Source package identifier.	NGA-FMOH-NAIIS-2018-v2.1
source_resource_id	string	Source resource identifier.	nbs-nada-65-845
source_url	string	Original source URL or download URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/65/download/845
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-19T04:13:01Z
column	double	Source column from the original resource.	``
variable	string	Source column from the original resource.	``
type	string	Source column from the original resource.	``
len	double	Source column from the original resource.	``
format	string	Source column from the original resource.	``
label	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-59376dc0")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "NGA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),
• Publisher: Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),
• Portal: https://microdata.nigerianstat.gov.ng
• Resource: NAIIS2018 Child Biomarker Frequencies and Content Tables
• License: other-open
• Retrieved/generated: 2026-07-19T04:20:55Z
• Hugging Face repo: electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-59376dc0

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Compare health outcomes across geographies
• Track changes over time
• Join with population or facility data
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_nigeria_nigeria_hiv_aids_indicator_and_impact_survey_naiis_2018_59376dc0_2018,
  title        = {Nigeria Hiv Aids Indicator and Impact Survey Naiis 2018 | Africa (Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),)},
  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    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-nigeria-hiv-aids-indicator-and-impact-survey-naiis-2018-59376dc0}}
}

License

Released under other-open.

Original data is published by Federal Ministry of Health (FMOH), National Agency for the Control of AIDS (NACA), University of Maryland (UMB),. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/65/related-materials