electricsheepafrica/africa-nigeria-national-health-facility-survey-2023-c5654893

National Health Facility Survey 2023 | Africa (Nigeria official open data)

435 rows - 1 Africa country - 2023 - 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: National Health Facility Survey 2023
• Publisher: National Bureau of Statistics (NBS)
• Resource: Clinical IMCI Modules Analyses
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	435	2023	2023	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-149-1093:diagnostic-accuracy-fac-type: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.	DIagnostic accuracy_fac_type
year	Int64	Observation year.	2023
adamawa	string	Source column.	Akwa Ibom
d_46_5553	float64	Source column.	38.88557
d_65_07466	float64	Source column.	35.16267
d_47_44941	float64	Source column.	38.62627
d_79_19819	float64	Source column.	45.65664
d_100	float64	Source column.	55.65046
d_80_32926	float64	Source column.	46.30559
d_31_47178	float64	Source column.	25.931510000000003
d_53_862	float64	Source column.	35.86354
d_32_60228	float64	Source column.	26.556790000000003
d_3_0976299999999997	float64	Source column.	21.87607
d_15_511069999999998	float64	Source column.	0.0
d_3_6938400000000002	float64	Source column.	20.264190000000003
d_72_08584	float64	Source column.	64.78464000000001
d_92_89676	float64	Source column.	57.923820000000006
d_73_11532	float64	Source column.	64.2981
d_18_28171	float64	Source column.	35.33621
d_28_07848	float64	Source column.	29.33242
d_18_73137	float64	Source column.	34.90672
source_period_start_year	Int64	First year inferred from source resource metadata.	2023
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	string	Human-readable period inferred from source resource metadata.	2023
source_provider	string	Publishing organization.	National Bureau of Statistics (NBS)
source_dataset	string	Source package title.	National Health Facility Survey 2023
source_resource	string	Source resource title.	Clinical IMCI Modules Analyses
source_package_id	string	CKAN package UUID.	NGA-NBS-NHFS
source_resource_id	string	CKAN resource UUID.	nbs-nada-149-1093
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/149/download/109
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z
gombe	string	Source column.	``
d_62_36862	float64	Source column.	``
d_57_716	float64	Source column.	``
d_54_80698	float64	Source column.	``
d_51_898619999999994	float64	Source column.	``
d_81_63454	float64	Source column.	``
d_50_846349999999994	float64	Source column.	``
d_55_060430000000004	float64	Source column.	``
d_66_75876	float64	Source column.	``
d_62_71407	float64	Source column.	``
d_41_337869999999995	float64	Source column.	``
d_24_06278	float64	Source column.	``
d_22_54862	float64	Source column.	``
d_0	float64	Source column.	``
d_16_59692	float64	Source column.	``
d_28_4807	float64	Source column.	``
d_22_33737	float64	Source column.	``
d_100_2	float64	Source column.	``
d_93_97339	float64	Source column.	``
d_72_80402000000001	float64	Source column.	``
d_75_30623	float64	Source column.	``
d_74_87452	float64	Source column.	``
d_69_46391	float64	Source column.	``
d_68_39127	float64	Source column.	``
abia	string	Source column.	``
d_63_89351	float64	Source column.	``
d_58_39858999999999	float64	Source column.	``
d_56_186800000000005	float64	Source column.	``
d_63_96343	float64	Source column.	``
d_63_95418000000001	float64	Source column.	``
d_58_018899999999995	float64	Source column.	``
d_51_421499999999995	float64	Source column.	``
d_70_79514999999999	float64	Source column.	``
d_60	float64	Source column.	``
d_52_1911	float64	Source column.	``
d_47_70132	float64	Source column.	``
d_54_42849	float64	Source column.	``
d_67_72635	float64	Source column.	``
d_64_98576	float64	Source column.	``
d_69_4376	float64	Source column.	``
d_66_66667	float64	Source column.	``
d_33_72322	float64	Source column.	``
d_25_141730000000003	float64	Source column.	``
d_32_195049999999995	float64	Source column.	``
d_34_89807	float64	Source column.	``
d_57_604639999999996	float64	Source column.	``
d_62_10793	float64	Source column.	``
d_57_716319999999996	float64	Source column.	``
d_55_19296	float64	Source column.	``
d_66_24657	float64	Source column.	``
d_55_46706999999999	float64	Source column.	``
d_49_79087	float64	Source column.	``
d_52_84245	float64	Source column.	``
d_49_86655	float64	Source column.	``
d_67_8301	float64	Source column.	``
d_67_23477	float64	Source column.	``
d_67_81532999999999	float64	Source column.	``
d_30_41487	float64	Source column.	``
d_29_09084	float64	Source column.	``
d_30_38204	float64	Source column.	``
d_52_600970000000004	float64	Source column.	``
d_44_6768	float64	Source column.	``
d_36_817699999999995	float64	Source column.	``
d_43_17738	float64	Source column.	``
d_41_09465	float64	Source column.	``
d_45_96739	float64	Source column.	``
d_37_89353	float64	Source column.	``
d_47_038289999999996	float64	Source column.	``
d_53_55451	float64	Source column.	``
d_29_834339999999997	float64	Source column.	``
d_23_30439	float64	Source column.	``
d_27_112609999999997	float64	Source column.	``
d_63_153760000000005	float64	Source column.	``
d_58_22867000000001	float64	Source column.	``
d_49_25519	float64	Source column.	``
d_55_38123	float64	Source column.	``
d_68_98844	float64	Source column.	``
d_44_3224	float64	Source column.	``
d_54_38785000000001	float64	Source column.	``
d_57_281740000000006	float64	Source column.	``
d_53_426660000000005	float64	Source column.	``
d_47_42989	float64	Source column.	``
d_32_45134	float64	Source column.	``
d_47_807739999999995	float64	Source column.	``
d_51_66795	float64	Source column.	``
d_59_83614000000001	float64	Source column.	``
d_51_8705	float64	Source column.	``
d_38_46875	float64	Source column.	``
d_48_11804	float64	Source column.	``
d_38_70803	float64	Source column.	``
d_64_21544999999999	float64	Source column.	``
d_55_77183	float64	Source column.	``
d_49_297380000000004	float64	Source column.	``
d_54_60334999999999	float64	Source column.	``
d_51_677589999999995	float64	Source column.	``
d_62_58274	float64	Source column.	``
d_51_94801999999999	float64	Source column.	``
d_76_15185	float64	Source column.	``
d_64_24009000000001	float64	Source column.	``
d_54_887620000000005	float64	Source column.	``
d_56_669219999999996	float64	Source column.	``
d_57_72623	float64	Source column.	``
d_74_0664	float64	Source column.	``
d_58_131429999999995	float64	Source column.	``
d_62_88973	float64	Source column.	``
d_54_990280000000006	float64	Source column.	``
d_34_16479	float64	Source column.	``
d_45_47575	float64	Source column.	``
d_41_57848	float64	Source column.	``
d_53_17062	float64	Source column.	``
d_41_86594	float64	Source column.	``
d_62_14558	float64	Source column.	``
d_50_55345	float64	Source column.	``
d_49_99286	float64	Source column.	``
d_51_411629999999995	float64	Source column.	``
d_50_3876	float64	Source column.	``
d_53_369820000000004	float64	Source column.	``
d_50_46155	float64	Source column.	``
d_62_51766	float64	Source column.	``
d_52_77187	float64	Source column.	``
d_42_07882	float64	Source column.	``
d_48_443690000000004	float64	Source column.	``
d_45_983039999999995	float64	Source column.	``
d_53_27022	float64	Source column.	``
d_46_16375	float64	Source column.	``
d_83_7251	float64	Source column.	``
d_82_19623	float64	Source column.	``
d_63_39567	float64	Source column.	``
d_62_05508	float64	Source column.	``
d_72_35281	float64	Source column.	``
d_62_55067	float64	Source column.	``
d_35_87824	float64	Source column.	``
d_43_143769999999996	float64	Source column.	``
d_69_07997	float64	Source column.	``
d_71_18247	float64	Source column.	``
d_69_13211	float64	Source column.	``
d_44_68821	float64	Source column.	``
d_58_22321	float64	Source column.	``
d_45_023849999999996	float64	Source column.	``
d_32_911010000000005	float64	Source column.	``
d_0_0606272	float64	Source column.	``
d_82_13032	float64	Source column.	``
d_0_0489785	float64	Source column.	``
d_46_46891	float64	Source column.	``
d_0_0553952	float64	Source column.	``
lagos	string	Source column.	``
d_33_550999999999995	float64	Source column.	``
d_0_1061768	float64	Source column.	``
d_25_11971	float64	Source column.	``
d_0_0856221	float64	Source column.	``
d_18_6673	float64	Source column.	``
d_0_0858494	float64	Source column.	``
omitted	float64	Source column.	``
d_51_02723	float64	Source column.	``
d_0_111273	float64	Source column.	``
d_54_613929999999996	float64	Source column.	``
d_0_113502	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-national-health-facility-survey-2023-c5654893")
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_national_health_facility_survey_2023_c5654893_2023,
  title        = {National Health Facility Survey 2023 | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics (NBS)},
  year         = {2023},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/149/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-national-health-facility-survey-2023-c5654893}}
}

License

Released under Other open license.

Original data (c) National Bureau of Statistics (NBS). 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

---

Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/149/download/1093