Datasetpublic

electricsheepafrica/africa-sierra-leone-slihs2018-hh-2-csv-0d3d010f

Slihs2018 Hh 2 CSV | Africa (Statistics Sierra Leone) 6,840 rows - 1 Africa country/area - 2018 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 6,840 rows from Statistics Sierra Leone, covering Slihs2018 Hh 2 CSV. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures Official statistics datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sierra-leone-slihs2018-hh-2-csv-0d3d010f.

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Dataset Card

Slihs2018 Hh 2 CSV | Africa (Statistics Sierra Leone)

6,840 rows - 1 Africa country/area - 2018 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 6,840 rows from Statistics Sierra Leone, covering Slihs2018 Hh 2 CSV. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

This dataset covers Slihs2018 Hh 2 CSV from Statistics Sierra Leone. Use the source and schema sections below to confirm definitions, units, and collection methodology before sensitive analytical use.

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	6,840
Countries/areas	1
First period	2018
Last period	2018
Indicators	0
Columns	209
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
`SL`	6,840	2018	2018	`Sierra Leone`

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.	`res-4285935443219120816:0`
`country_iso3`	`dictionary<values=string, indices=int8, ordered=0>`	ISO3 country or area code.	`SL`
`country_name`	`dictionary<values=string, indices=int8, ordered=0>`	Country or area name.	`Sierra Leone`
`year`	`int64`	Observation year.	`2018`
`cluster`	`int64`	Source column from the original resource.	`1`
`hhno`	`int64`	Source column from the original resource.	`1`
`stratum`	`int64`	Source column from the original resource.	`111`
`pweight`	`double`	Source column from the original resource.	`247.86473`
`b2_serial`	`double`	Source column from the original resource.	`2114.0`
`k_resp1`	`double`	Source column from the original resource.	`1.0`
`k1`	`string`	Source column from the original resource.	`single dwelling unit in building`
`k2`	`double`	Source column from the original resource.	`1.0`
`k3`	`double`	Source column from the original resource.	`3.0`
`k4`	`string`	Source column from the original resource.	`no`
`k5`	`double`	Source column from the original resource.	`9.0`
`k6`	`string`	Source column from the original resource.	`owned by member of household`
`k7`	`string`	Source column from the original resource.	`traditional right to land`
`k8`	`string`	Source column from the original resource.	`constructed`
`k8_other`	`string`	Source column from the original resource.	``
`k9`	`double`	Source column from the original resource.	`360.0`
`k10`	`double`	Source column from the original resource.	`360.0`
`k11`	`string`	Source column from the original resource.	``
`k11_other`	`string`	Source column from the original resource.	``
`k12`	`string`	Source column from the original resource.	``
`k12_other`	`string`	Source column from the original resource.	``
`k13a`	`double`	Source column from the original resource.	``
`k13b`	`string`	Source column from the original resource.	``
`k14`	`string`	Source column from the original resource.	``
`k15a`	`double`	Source column from the original resource.	``
`k15b`	`string`	Source column from the original resource.	``
`k16`	`double`	Source column from the original resource.	`0.0`
`k17`	`double`	Source column from the original resource.	`0.0`
`k18`	`string`	Source column from the original resource.	`mud and wattle, mud bricks`
`k18_other`	`string`	Source column from the original resource.	``
`k19`	`string`	Source column from the original resource.	`earth/mud`
`k19_other`	`string`	Source column from the original resource.	``
`k20`	`string`	Source column from the original resource.	`corrugated iron sheets`
`k21`	`string`	Source column from the original resource.	`no`
`k_resp2`	`double`	Source column from the original resource.	`1.0`
`k22`	`string`	Source column from the original resource.	`enclosed detached`
`k22_other`	`string`	Source column from the original resource.	``
`k23a`	`string`	Source column from the original resource.	`firewood`
`k23b`	`string`	Source column from the original resource.	``
`k24a`	`string`	Source column from the original resource.	`open fire`
`k24b`	`string`	Source column from the original resource.	``
`k24b_other`	`string`	Source column from the original resource.	``
`k25`	`string`	Source column from the original resource.	`no`
`k26`	`double`	Source column from the original resource.	`10.0`
`k27`	`double`	Source column from the original resource.	`70.0`
`k_resp3`	`double`	Source column from the original resource.	`1.0`
`k28a`	`string`	Source column from the original resource.	`battery`
`k28b`	`string`	Source column from the original resource.	``
`k29`	`string`	Source column from the original resource.	`no`
`k30`	`string`	Source column from the original resource.	`grid is too far from household`
`k30_other`	`string`	Source column from the original resource.	``
`k31`	`string`	Source column from the original resource.	``
`k32`	`string`	Source column from the original resource.	``
`k33`	`double`	Source column from the original resource.	``
`k34`	`double`	Source column from the original resource.	``
`k35`	`string`	Source column from the original resource.	``
`k36`	`double`	Source column from the original resource.	``
`k37`	`double`	Source column from the original resource.	``
`k38`	`string`	Source column from the original resource.	``
`k39`	`string`	Source column from the original resource.	`no`
`k40`	`string`	Source column from the original resource.	``
`k41`	`string`	Source column from the original resource.	`no`
`k_resp4`	`double`	Source column from the original resource.	`1.0`
`k48`	`string`	Source column from the original resource.	`burn`
`k48_other`	`string`	Source column from the original resource.	``
`k49a`	`double`	Source column from the original resource.	`0.0`
`k49b`	`string`	Source column from the original resource.	``
`k50`	`string`	Source column from the original resource.	`no facility (bush, field, waterside)`
`k50_other`	`string`	Source column from the original resource.	``
`k51`	`double`	Source column from the original resource.	``
`k52`	`double`	Source column from the original resource.	``
`k53`	`string`	Source column from the original resource.	`nothing`
`k53_other`	`string`	Source column from the original resource.	``
`l_resp1`	`double`	Source column from the original resource.	`1.0`
`l_resp2`	`double`	Source column from the original resource.	``
`m_resp1`	`double`	Source column from the original resource.	`1.0`
`m_resp2`	`double`	Source column from the original resource.	``
`m9`	`string`	Source column from the original resource.	``
`m10`	`double`	Source column from the original resource.	``
`m11`	`string`	Source column from the original resource.	``
`m12a`	`string`	Source column from the original resource.	``
`m12b`	`string`	Source column from the original resource.	``
`m12c`	`string`	Source column from the original resource.	``
`m12d`	`string`	Source column from the original resource.	``
`m12e`	`string`	Source column from the original resource.	``
`m12f`	`string`	Source column from the original resource.	``
`m12g`	`string`	Source column from the original resource.	``
`m13`	`string`	Source column from the original resource.	``
`m14a`	`double`	Source column from the original resource.	``
`m14b`	`double`	Source column from the original resource.	``
`m14c`	`double`	Source column from the original resource.	``
`m14d`	`double`	Source column from the original resource.	``
`m14e`	`double`	Source column from the original resource.	``
`m14f`	`double`	Source column from the original resource.	``
`m14g`	`double`	Source column from the original resource.	``
`m14h`	`double`	Source column from the original resource.	``
`m15a`	`string`	Source column from the original resource.	``
`m15b`	`string`	Source column from the original resource.	``
`m15c`	`string`	Source column from the original resource.	``
`m15d`	`string`	Source column from the original resource.	``
`m15e`	`string`	Source column from the original resource.	``
`m15f`	`string`	Source column from the original resource.	``
`m15g`	`string`	Source column from the original resource.	``
`m16`	`string`	Source column from the original resource.	``
`m17a`	`double`	Source column from the original resource.	``
`m17b`	`double`	Source column from the original resource.	``
`m17c`	`double`	Source column from the original resource.	``
`m18`	`string`	Source column from the original resource.	``
`m18_other`	`string`	Source column from the original resource.	``
`m19`	`string`	Source column from the original resource.	``
`m20`	`double`	Source column from the original resource.	``
`n_resp1`	`double`	Source column from the original resource.	``
`n_resp2`	`double`	Source column from the original resource.	``
`o1`	`string`	Source column from the original resource.	``
`o2`	`string`	Source column from the original resource.	``
`o11`	`string`	Source column from the original resource.	``
`o15`	`string`	Source column from the original resource.	``
`o23`	`string`	Source column from the original resource.	``
`o30`	`string`	Source column from the original resource.	``
`o40`	`string`	Source column from the original resource.	``
`o_resp1`	`double`	Source column from the original resource.	``
`o_resp2`	`double`	Source column from the original resource.	``
`p0`	`string`	Source column from the original resource.	``
`q1`	`string`	Source column from the original resource.	``
`b3_serial`	`double`	Source column from the original resource.	``
`r_resp1`	`double`	Source column from the original resource.	``
`r_resp2`	`double`	Source column from the original resource.	``
`r8`	`string`	Source column from the original resource.	``
`s0`	`string`	Source column from the original resource.	``
`s43`	`string`	Source column from the original resource.	``
`s44_jan`	`double`	Source column from the original resource.	``
`s44_feb`	`double`	Source column from the original resource.	``
`s44_march`	`double`	Source column from the original resource.	``
`s44_april`	`double`	Source column from the original resource.	``
`s44_may`	`double`	Source column from the original resource.	``
`s44_june`	`double`	Source column from the original resource.	``
`s44_july`	`double`	Source column from the original resource.	``
`s44_aug`	`double`	Source column from the original resource.	``
`s44_sept`	`double`	Source column from the original resource.	``
`s44_oct`	`double`	Source column from the original resource.	``
`s44_nov`	`double`	Source column from the original resource.	``
`s44_dec`	`double`	Source column from the original resource.	``
`t0`	`string`	Source column from the original resource.	``
`t40`	`string`	Source column from the original resource.	``
`t41_jan`	`double`	Source column from the original resource.	``
`t41_feb`	`double`	Source column from the original resource.	``
`t41_march`	`double`	Source column from the original resource.	``
`t41_april`	`double`	Source column from the original resource.	``
`t41_may`	`double`	Source column from the original resource.	``
`t41_june`	`double`	Source column from the original resource.	``
`t41_july`	`double`	Source column from the original resource.	``
`t41_aug`	`double`	Source column from the original resource.	``
`t41_sept`	`double`	Source column from the original resource.	``
`t41_oct`	`double`	Source column from the original resource.	``
`t41_nov`	`double`	Source column from the original resource.	``
`t41_dec`	`double`	Source column from the original resource.	``
`v1`	`string`	Source column from the original resource.	``
`v2a`	`double`	Source column from the original resource.	``
`v2b`	`double`	Source column from the original resource.	``
`v_resp`	`double`	Source column from the original resource.	``
`v4a`	`string`	Source column from the original resource.	``
`v4b`	`string`	Source column from the original resource.	``
`v4c`	`string`	Source column from the original resource.	``
`v5`	`string`	Source column from the original resource.	``
`v6`	`string`	Source column from the original resource.	``
`v7_mfmr`	`string`	Source column from the original resource.	``
`v7_lc`	`string`	Source column from the original resource.	``
`v7_nra`	`string`	Source column from the original resource.	``
`v7_other`	`string`	Source column from the original resource.	``
`v8_mfmr`	`double`	Source column from the original resource.	``
`v8_lc`	`double`	Source column from the original resource.	``
`v8_nra`	`double`	Source column from the original resource.	``
`v8_other`	`double`	Source column from the original resource.	``
`v27_jan`	`string`	Source column from the original resource.	``
`v27_feb`	`string`	Source column from the original resource.	``
`v27_march`	`string`	Source column from the original resource.	``
`v27_april`	`string`	Source column from the original resource.	``
`v27_may`	`string`	Source column from the original resource.	``
`v27_june`	`string`	Source column from the original resource.	``
`v27_july`	`string`	Source column from the original resource.	``
`v27_aug`	`string`	Source column from the original resource.	``
`v27_sept`	`string`	Source column from the original resource.	``
`v27_oct`	`string`	Source column from the original resource.	``
`v27_nov`	`string`	Source column from the original resource.	``
`v27_dec`	`string`	Source column from the original resource.	``
`v28`	`string`	Source column from the original resource.	``
`v29`	`string`	Source column from the original resource.	``
`w0`	`string`	Source column from the original resource.	``
`b4a_serial`	`double`	Source column from the original resource.	``
`x_respa`	`int64`	Source column from the original resource.	``
`b4b_serial`	`double`	Source column from the original resource.	``
`x_respb`	`double`	Source column from the original resource.	``
`z0`	`string`	Source column from the original resource.	``
`hhsize`	`int64`	Source column from the original resource.	``
`source_period_start_year`	`int64`	Start year inferred from source metadata.	``
`source_period_end_year`	`int64`	End year inferred from source metadata.	``
`source_period_label`	`dictionary<values=string, indices=int8, ordered=0>`	Source column from the original resource.	``
`source_provider`	`dictionary<values=string, indices=int8, ordered=0>`	Publishing organization.	``
`source_dataset`	`dictionary<values=string, indices=int8, ordered=0>`	Source dataset or package title.	``
`source_resource`	`dictionary<values=string, indices=int8, ordered=0>`	Source resource title, table name, or file name.	``
`source_package_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source package identifier.	``
`source_resource_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source resource identifier.	``
`source_url`	`dictionary<values=string, indices=int8, ordered=0>`	Original source URL or download URL.	``
`license_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source license identifier.	``
`retrieved_at`	`dictionary<values=string, indices=int8, ordered=0>`	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	``

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sierra-leone-slihs2018-hh-2-csv-0d3d010f")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python

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

Filter By Geography

python

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

Time-Series Pattern

python

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

Pivot For Analysis

python

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: Statistics Sierra Leone
—Publisher: Statistics Sierra Leone
—Portal: https://www.statistics.sl
—Resource: slihs2018_hh_2.csv
—License: Source-specific or other license
—Retrieved/generated: 2026-08-09T11:46:47Z
—Hugging Face repo: electricsheepafrica/africa-sierra-leone-slihs2018-hh-2-csv-0d3d010f

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

—Profile the distribution of values
—Compare categories or geographies
—Join with complementary public datasets
—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

bibtex

@misc{electric_sheep_africa_africa_sierra_leone_slihs2018_hh_2_csv_0d3d010f_2018,
  title        = {Slihs2018 Hh 2 CSV | Africa (Statistics Sierra Leone)},
  author       = {Statistics Sierra Leone},
  year         = {2018},
  url          = {https://www.statistics.sl},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sierra-leone-slihs2018-hh-2-csv-0d3d010f}}
}

License

Released under Source-specific or other license.

Original data is published by Statistics Sierra Leone. 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.

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.statistics.sl