Datasets:
source_record_id string | country_iso3 string | country_name string | source_sheet int64 | year int64 | niassa string | d_156212 float64 | d_98_99742702510869 float64 | d_1561 float64 | d_0_9892644840741727 float64 | d_21 float64 | d_0_013308490817141336 float64 | d_157794 float64 | d_100 float64 | source_period_start_year int64 | source_period_end_year int64 | source_period_label string | source_provider string | source_dataset string | source_resource string | source_package_id string | source_resource_id string | source_url string | license_id string | retrieved_at string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
moz-ine-nada-62-376:2:0 | MOZ | Mozambique | 2 | 2,020 | Cabo Delgado | 320,644 | 99.366263 | 2,030 | 0.629089 | 15 | 0.004648 | 322,689 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:1 | MOZ | Mozambique | 2 | 2,020 | Nampula | 749,406 | 98.732586 | 9,571 | 1.260958 | 49 | 0.006456 | 759,026 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:2 | MOZ | Mozambique | 2 | 2,020 | Zambézia | 822,346 | 99.222242 | 6,430 | 0.775828 | 16 | 0.001931 | 828,792 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:3 | MOZ | Mozambique | 2 | 2,020 | Tete | 595,176 | 96.748898 | 19,958 | 3.244275 | 42 | 0.006827 | 615,176 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:4 | MOZ | Mozambique | 2 | 2,020 | Manica | 241,305 | 94.966823 | 12,768 | 5.024912 | 21 | 0.008265 | 254,094 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:5 | MOZ | Mozambique | 2 | 2,020 | Sofala | 463,587 | 97.924848 | 9,744 | 2.058254 | 80 | 0.016899 | 473,411 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:6 | MOZ | Mozambique | 2 | 2,020 | Inhambane | 192,083 | 95.360625 | 9,288 | 4.611077 | 57 | 0.028298 | 201,428 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:7 | MOZ | Mozambique | 2 | 2,020 | Gaza | 348,878 | 95.427976 | 16,461 | 4.502548 | 254 | 0.069476 | 365,593 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:8 | MOZ | Mozambique | 2 | 2,020 | Maputo Província | 278,065 | 97.994749 | 5,372 | 1.893182 | 318 | 0.112069 | 283,755 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:9 | MOZ | Mozambique | 2 | 2,020 | Nacional | 4,167,702 | 97.793023 | 93,183 | 2.186492 | 873 | 0.020485 | 4,261,758 | 100 | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
moz-ine-nada-62-376:2:10 | MOZ | Mozambique | 2 | 2,020 | Fonte: MADER/DPP, Inquérito Agrário Integrado, IAI 2020 | null | null | null | null | null | null | null | null | 2,020 | 2,020 | 2020 | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas | Inquérito Agrário Integrado 2020 | Quadros_Nr.Exploracoes_IAI2020 | IAI-2020 | moz-ine-nada-62-376 | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 | other-open | 2026-08-07T22:10:37Z |
Inquerito Agrario Integrado 2020 | Africa (Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas)
11 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 11 rows from Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas, covering Inquerito Agrario Integrado 2020. 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_iso3where available plus source-specific keys.
Coverage
| Dimension | Value |
|---|---|
| Rows | 11 |
| Countries/areas | 1 |
| First period | 2020 |
| Last period | 2020 |
| Indicators | 0 |
| Columns | 25 |
| Source format | XLSX |
Geographic Coverage
Top areas shown below, sorted by row count when available:
| Area | Rows | First year | Last year | Name |
|---|---|---|---|---|
MOZ |
11 | 2020 | 2020 | 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-62-376:2:0 |
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 |
int64 |
Source column from the original resource. | 2 |
year |
int64 |
Observation year. | 2020 |
niassa |
string |
Source column from the original resource. | Cabo Delgado |
d_156212 |
double |
Source column from the original resource. | 320644.0 |
d_98_99742702510869 |
double |
Source column from the original resource. | 99.3662628723012 |
d_1561 |
double |
Source column from the original resource. | 2030.0 |
d_0_9892644840741727 |
double |
Source column from the original resource. | 0.6290886891093281 |
d_21 |
double |
Source column from the original resource. | 15.0 |
d_0_013308490817141336 |
double |
Source column from the original resource. | 0.0046484385894777 |
d_157794 |
double |
Source column from the original resource. | 322689.0 |
d_100 |
double |
Source column from the original resource. | 100.0 |
source_period_start_year |
int64 |
Start year inferred from source metadata. | 2020 |
source_period_end_year |
int64 |
End year inferred from source metadata. | 2020 |
source_period_label |
dictionary<values=string, indices=int8, ordered=0> |
Source column from the original resource. | 2020 |
source_provider |
dictionary<values=string, indices=int8, ordered=0> |
Publishing organization. | Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional... |
source_dataset |
dictionary<values=string, indices=int8, ordered=0> |
Source dataset or package title. | Inquérito Agrário Integrado 2020 |
source_resource |
dictionary<values=string, indices=int8, ordered=0> |
Source resource title, table name, or file name. | Quadros_Nr.Exploracoes_IAI2020 |
source_package_id |
dictionary<values=string, indices=int8, ordered=0> |
Source package identifier. | IAI-2020 |
source_resource_id |
dictionary<values=string, indices=int8, ordered=0> |
Source resource identifier. | moz-ine-nada-62-376 |
source_url |
dictionary<values=string, indices=int8, ordered=0> |
Original source URL or download URL. | https://mozdata.ine.gov.mz/index.php/catalog/62/download/376 |
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-inquerito-agrario-integrado-2020-19bc5088")
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: Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
- Publisher: Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
- Portal: https://mozdata.ine.gov.mz
- Resource: Quadros_Nr.Exploracoes_IAI2020
- License: other-open
- Retrieved/generated:
2026-08-07T22:11:33Z - Hugging Face repo: electricsheepafrica/africa-mozambique-inquerito-agrario-integrado-2020-19bc5088
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_mozambique_inquerito_agrario_integrado_2020_19bc5088_2020,
title = {Inquerito Agrario Integrado 2020 | Africa (Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas)},
author = {Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas},
year = {2020},
url = {https://mozdata.ine.gov.mz/index.php/catalog/62/related-materials},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mozambique-inquerito-agrario-integrado-2020-19bc5088}}
}
License
Released under other-open.
Original data is published by Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas. 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 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://mozdata.ine.gov.mz/index.php/catalog/62/related-materials
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