electricsheepafrica/africa-mozambique-censo-2017-iv-2a376927

Censo 2017 Iv | Africa (Instituto Nacional de Estatistica)

115 rows - 1 Africa country/area - 2017 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 115 rows from Instituto Nacional de Estatistica, covering Censo 2017 Iv. 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.

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	115
Countries/areas	1
First period	2017
Last period	2017
Indicators	0
Columns	19
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MOZ	115	2017	2017	Mozambique

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.	moz-ine-nada-24-852:plan2:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	MOZ
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Mozambique
source_sheet	string	Source column from the original resource.	Plan2
year	int64	Observation year.	2017
quadro_2	string	Source column from the original resource.	QUADRO 3.
populacao_por_area_de_residencia_e_sexo_segundo_idade_mo	string	Source column from the original resource.	População por idade, segundo distrito, área de residência e sexo.
d_3_4	string	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	2017
source_period_end_year	int64	End year inferred from source metadata.	2017
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2017
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Instituto Nacional de Estatistica
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Censo 2017, IV
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	LISTA DE QUADROS.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	moz-ine-censo-iv-2017-v1
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	moz-ine-nada-24-852
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://mozdata.ine.gov.mz/index.php/catalog/24/download/852
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	other-open
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-07T22:10:37Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mozambique-censo-2017-iv-2a376927")
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"] == "MOZ"]

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: Instituto Nacional de Estatistica
• Publisher: Instituto Nacional de Estatistica
• Portal: https://mozdata.ine.gov.mz
• Resource: LISTA DE QUADROS.xlsx
• License: other-open
• Retrieved/generated: 2026-08-07T22:10:40Z
• Hugging Face repo: electricsheepafrica/africa-mozambique-censo-2017-iv-2a376927

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

@misc{electric_sheep_africa_africa_mozambique_censo_2017_iv_2a376927_2017,
  title        = {Censo 2017 Iv | Africa (Instituto Nacional de Estatistica)},
  author       = {Instituto Nacional de Estatistica},
  year         = {2017},
  url          = {https://mozdata.ine.gov.mz/index.php/catalog/24/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mozambique-censo-2017-iv-2a376927}}
}

License

Released under other-open.

Original data is published by Instituto Nacional de Estatistica. 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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://mozdata.ine.gov.mz/index.php/catalog/24/related-materials