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source_record_id
string
country_iso3
string
country_name
string
source_sheet
string
year
int64
especie_animal
string
niassa
string
c_delgado
string
nampula
string
zambezia
string
tete
string
manica
string
sofala
string
inhambane
float64
gaza
float64
maputo
float64
total
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-62-348:sheet2:0
MOZ
Mozambique
Sheet2
2,020
BOVINOS
25212
-
21437
23561
12552
18220
24192
31,066
21,513
39,975
19,873
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:1
MOZ
Mozambique
Sheet2
2,020
CAPRINOS
3140
1985
2075
2362
2521
3262
2328
2,779
3,362
6,355
2,570
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:2
MOZ
Mozambique
Sheet2
2,020
OVINOS
1754
1574
2702
2320
2276
2535
1859
3,043
5,619
5,282
2,802
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:3
MOZ
Mozambique
Sheet2
2,020
SUINOS
1661
1521
1547
1435
1014
2380
1388
2,104
2,611
3,566
1,659
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:4
MOZ
Mozambique
Sheet2
2,020
BURROS
-
-
-
-
30000
-
-
7,260
9,870
5,544
8,412
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:5
MOZ
Mozambique
Sheet2
2,020
GALINHAS
345
265
262
406
356
405
354
393
290
522
339
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:6
MOZ
Mozambique
Sheet2
2,020
COELHOS
750
702
402
739
400
1535
300
502
489
1,056
672
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:7
MOZ
Mozambique
Sheet2
2,020
PATOS
654
405
408
480
630
422
543
501
637
899
557
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:8
MOZ
Mozambique
Sheet2
2,020
GANSOS
-
-
-
500
-
300
-
1,029
2,000
2,941
1,389
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:9
MOZ
Mozambique
Sheet2
2,020
PERUS
1650
-
-
5843
2145
1392
1299
666
883
1,996
1,419
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:10
MOZ
Mozambique
Sheet2
2,020
FRANGOS
725
472
1866
646
8306
5654
626
6,513
67,168
14,656
16,842
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:11
MOZ
Mozambique
Sheet2
2,020
Fonte: MADER/DPP, Inquérito Agrário Integrado, IAI 2020
null
null
null
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
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:12
MOZ
Mozambique
Sheet2
2,020
VALOR MÉDIO GASTO NO PAGAMENTO DE SERVIÇOS VETERINÁRIOS E OUTROS DA PECUÁRIA
null
null
null
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
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:13
MOZ
Mozambique
Sheet2
2,020
Tipo de Serviço
NIASSA
C.DELGADO
NAMPULA
ZAMBEZIA
TETE
MANICA
SOFALA
null
null
null
null
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:14
MOZ
Mozambique
Sheet2
2,020
VETERINÁRIO
1253
982
2904
5419
8412
1609
2519
1,987
5,317
3,305
3,148
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:15
MOZ
Mozambique
Sheet2
2,020
OUTROS
1435
439
2754
2812
3606
993
1795
1,351
2,914
4,750
2,103
2,020
2,020
2020
Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas
Inquérito Agrário Integrado 2020
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z
moz-ine-nada-62-348:sheet2:16
MOZ
Mozambique
Sheet2
2,020
Fonte: MADER/DPP, Inquérito Agrário Integrado, IAI 2020
null
null
null
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
CUSTOS DE PRODDUCAO PECUARIA
IAI-2020
moz-ine-nada-62-348
https://mozdata.ine.gov.mz/index.php/catalog/62/download/348
other-open
2026-08-07T22:10:37Z

Inquerito Agrario Integrado 2020 | Africa (Ministerio da Agricultura e Desenvolvimento Rural, Instituto Nacional de Estatisticas)

17 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 17 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_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 17
Countries/areas 1
First period 2020
Last period 2020
Indicators 0
Columns 28
Source format XLSX

Geographic Coverage

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

Area Rows First year Last year Name
MOZ 17 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-62-348:sheet2:0
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. Sheet2
year int64 Observation year. 2020
especie_animal string Source column from the original resource. BOVINOS
niassa string Source column from the original resource. 25212
c_delgado string Source column from the original resource. -
nampula string Source column from the original resource. 21437
zambezia string Source column from the original resource. 23561
tete string Source column from the original resource. 12552
manica string Source column from the original resource. 18220
sofala string Source column from the original resource. 24192
inhambane double Source column from the original resource. 31066.0
gaza double Source column from the original resource. 21513.0
maputo double Source column from the original resource. 39975.0
total double Source column from the original resource. 19873.0
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. CUSTOS DE PRODDUCAO PECUARIA
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-62-348
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/348
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-2020-7eaea79b")
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

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_inquerito_agrario_integrado_2020_7eaea79b_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-2020-7eaea79b}}
}

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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