Niger · Country Data Coverage
Collection
543 official ML-ready Niger open-data resources, plus related Electric Sheep Africa datasets. • 1,349 items • Updated
unnamed_0 stringlengths 1 27 ⌀ | unnamed_1 float64 28.6 89.4 ⌀ | unnamed_2 float64 1.7 48.4 ⌀ | male float64 0.7 16.7 ⌀ | unnamed_4 float64 9.8 50.2 ⌀ | unnamed_5 stringlengths 5 18 ⌀ | unnamed_6 float64 23.7 91.6 ⌀ | unnamed_7 float64 1.3 50.4 ⌀ | female float64 0.3 16.6 ⌀ | unnamed_9 float64 8.2 52.5 ⌀ | unnamed_10 stringlengths 3 18 ⌀ | unnamed_11 float64 26.2 90.5 ⌀ | unnamed_12 float64 1.5 49.4 ⌀ | total float64 0.5 16.7 ⌀ | unnamed_14 float64 9 50.9 ⌀ | unnamed_15 stringlengths 5 18 ⌀ | esa_source stringclasses 1
value | esa_processed stringdate 2026-04-29 00:00:00 2026-04-29 00:00:00 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Secondary | 86.8 | 3.1 | 9.7 | 12.8 | 3,323 | 85.4 | 2.6 | 10.6 | 13.2 | 3,293 | 86.1 | 2.9 | 10.2 | 13 | 6,616 | HDX | 2026-04-29 |
8 | 66.4 | 20.7 | 3.2 | 23.9 | 3,035 | 60.6 | 21.5 | 4.6 | 26.1 | 3,042 | 63.5 | 21.1 | 3.9 | 25 | 6,077 | HDX | 2026-04-29 |
South South | 86.5 | 2.1 | 11.4 | 13.4 | 1,378 | 86.9 | 2.4 | 10.6 | 13.1 | 1,262 | 86.7 | 2.2 | 11 | 13.3 | 2,641 | HDX | 2026-04-29 |
7 | 57.1 | 23.3 | 7 | 30.3 | 3,210 | 57.6 | 23.8 | 7.4 | 31.2 | 2,916 | 57.3 | 23.5 | 7.2 | 30.7 | 6,126 | HDX | 2026-04-29 |
Rural | 54.8 | 27.4 | 4.8 | 32.2 | 11,812 | 50.2 | 29 | 4.7 | 33.7 | 11,538 | 52.5 | 28.2 | 4.8 | 33 | 23,351 | HDX | 2026-04-29 |
Ethnicity of household head | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-29 |
South West | 85.2 | 5 | 9.8 | 14.8 | 1,764 | 85.6 | 3.9 | 10.4 | 14.3 | 1,758 | 85.4 | 4.5 | 10.1 | 14.6 | 3,522 | HDX | 2026-04-29 |
11 | 77.7 | 13.1 | 0.7 | 13.8 | 1,946 | 72.5 | 15.5 | 0.3 | 15.8 | 2,026 | 75 | 14.3 | 0.5 | 14.8 | 3,972 | HDX | 2026-04-29 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-29 |
Richest | 89.4 | 1.7 | 8.1 | 9.8 | 2,809 | 91.6 | 1.3 | 6.9 | 8.2 | 2,733 | 90.5 | 1.5 | 7.5 | 9 | 5,542 | HDX | 2026-04-29 |
North East | 48.8 | 34.1 | 3.1 | 37.3 | 3,774 | 44 | 38.2 | 4.2 | 42.4 | 3,783 | 46.4 | 36.2 | 3.7 | 39.8 | 7,557 | HDX | 2026-04-29 |
Urban | 80.5 | 5.5 | 7.8 | 13.2 | 5,178 | 79.5 | 7 | 7.8 | 14.8 | 5,119 | 80 | 6.2 | 7.8 | 14 | 10,296 | HDX | 2026-04-29 |
null | null | null | null | null | Number of children | null | null | null | null | Number of children | null | null | null | null | Number of children | HDX | 2026-04-29 |
Poorest | 28.6 | 48.4 | 1.8 | 50.2 | 3,970 | 23.7 | 50.4 | 1.4 | 51.8 | 3,796 | 26.2 | 49.4 | 1.6 | 50.9 | 7,766 | HDX | 2026-04-29 |
null | 46.5 | 43.8 | 3.9 | 47.8 | 5,795 | 41.5 | 49.1 | 3.4 | 52.5 | 5,488 | 44.1 | 46.4 | 3.7 | 50.1 | 11,283 | HDX | 2026-04-29 |
Total | 62.6 | 20.7 | 5.7 | 26.5 | 16,990 | 59.2 | 22.2 | 5.7 | 27.9 | 16,657 | 60.9 | 21.5 | 5.7 | 27.2 | 33,647 | HDX | 2026-04-29 |
Other ethnic group | 73.9 | 16.2 | 7.5 | 23.6 | 4,736 | 71.5 | 17.3 | 7.4 | 24.7 | 4,442 | 72.8 | 16.7 | 7.4 | 24.1 | 9,177 | HDX | 2026-04-29 |
Igbo | 87.5 | 2.6 | 9.1 | 11.8 | 1,394 | 88 | 2.9 | 8.6 | 11.5 | 1,292 | 87.8 | 2.8 | 8.9 | 11.7 | 2,686 | HDX | 2026-04-29 |
Geopolitical zone | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-29 |
Hausa | 48.5 | 29.1 | 3.5 | 32.7 | 9,201 | 44.6 | 30.8 | 3.4 | 34.2 | 9,283 | 46.6 | 29.9 | 3.5 | 33.4 | 18,483 | HDX | 2026-04-29 |
Primary | 79.6 | 8.7 | 9 | 17.8 | 2,992 | 77.5 | 9.9 | 8 | 17.9 | 2,955 | 78.5 | 9.3 | 8.5 | 17.8 | 5,946 | HDX | 2026-04-29 |
Fourth | 80.2 | 5.9 | 8.7 | 14.6 | 3,182 | 78.1 | 6 | 10.5 | 16.5 | 3,112 | 79.1 | 6 | 9.6 | 15.5 | 6,294 | HDX | 2026-04-29 |
Residence | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-29 |
Non-formal | 44.4 | 15.6 | 2.4 | 17.9 | 3,773 | 38.5 | 15.8 | 2.8 | 18.6 | 3,777 | 41.4 | 15.7 | 2.6 | 18.2 | 7,550 | HDX | 2026-04-29 |
10 | 66.9 | 20.2 | 1.3 | 21.5 | 3,073 | 61.8 | 22.4 | 0.7 | 23 | 3,075 | 64.3 | 21.3 | 1 | 22.3 | 6,148 | HDX | 2026-04-29 |
Mother's education | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-29 |
South East | 88.3 | 2.2 | 9.3 | 11.5 | 1,016 | 88.8 | 2 | 9.1 | 11.1 | 901 | 88.5 | 2.1 | 9.2 | 11.3 | 1,917 | HDX | 2026-04-29 |
6 | 42.5 | 27.7 | 16.7 | 44.4 | 3,280 | 41 | 29 | 16.6 | 45.7 | 3,187 | 41.7 | 28.3 | 16.7 | 45 | 6,468 | HDX | 2026-04-29 |
Second | 55 | 27 | 4.2 | 31.1 | 3,580 | 50.3 | 29.9 | 3.8 | 33.6 | 3,721 | 52.6 | 28.4 | 4 | 32.4 | 7,302 | HDX | 2026-04-29 |
Nigeria Multiple Indicator Cluster Survey (MICS), 2018 | Africa (original)
Size category: n<1K - Formats: parquet - Sector: humanitarian_development - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
Dataset context from the existing Hugging Face card: Nigeria Multiple Indicator Cluster Survey (MICS), 2018 Publisher: Nigeria National Bureau of Statistics · Source: OpenAfrica · License: cc-by · Updated: 2022-02-08 Abstract The MICS primarily has data on main indicators related to survival, development and protection of children, women and men. In Nigeria, this survey is the fifth round. Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2022-02-08. Geographic scope: Africa… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-multiple-indicator-cluster-survey-mics-2018.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-nigeria-multiple-indicator-cluster-survey-mics-2018 |
| Sector | humanitarian_development |
| Topic tags | humanitarian, hdx, electric-sheep-africa |
| Modalities | tabular, text |
| Formats | parquet |
| Size category | n<1K |
| Countries | Nigeria |
| ISO3 coverage | NGA |
| Last modified on HF | 2026-04-29 01:26:53+00:00 |
| Inventory snapshot | 2026-07-16T16:00:34Z |
How To Read This Dataset
- Start from the repository files and the dataset viewer when available.
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
- Preserve missing values until you have a defensible imputation rule.
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-nigeria-multiple-indicator-cluster-survey-mics-2018")
print(ds)
split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])
Convert To Pandas When Tabular
from datasets import Dataset
first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
df = first_split.to_pandas()
print(df.head())
Data Quality Notes
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
- Exact schema, row counts, and source files should be inspected in the repository data files.
- Metadata gaps from the inventory: upstream_publisher.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
Source And Provenance
- Source context: original
- Publisher/source attribution: original
- License: CC BY 4.0
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-multiple-indicator-cluster-survey-mics-2018
- Inventory retrieved at:
2026-07-16T16:00:34Z
Suggested Analyses
- Inspect schema and missingness before modeling.
- Profile variables by geography, time, and subgroup columns where present.
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
Citation
@misc{electric_sheep_africa_africa_nigeria_multiple_indicator_cluster_survey_mics_2018_2026,
title = {Nigeria Multiple Indicator Cluster Survey (MICS), 2018 | Africa (original)},
author = {original},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-multiple-indicator-cluster-survey-mics-2018},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-multiple-indicator-cluster-survey-mics-2018}}
}
License
Released under CC BY 4.0.
Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.
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