electricsheepafrica/africa-tanzania-national-bureau-of-statistics-bb9f2bb2

National Bureau of Statistics | Africa (Tanzania official open data)

250 rows - 1 Africa country - 2021 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLS resource from Tanzania as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: National Bureau of Statistics
• Publisher: National Bureau of Statistics, Tanzania
• Resource: High Frequency Data July 2021.xls
• Format: XLS
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TZA	250	2021	2021	Tanzania

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	nbs-stat-200ec485802a58:tourist-arrivals:0
country_iso3	string	ISO3 country code.	TZA
country_name	string	Country name.	Tanzania
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Tourist Arrivals
year	float64	Observation year.	2021.0
january	string	Source column.	February
d_98710	float64	Source column.	88939.0
d_99815	float64	Source column.	91485.0
d_121280	float64	Source column.	101168.0
d_133795	float64	Source column.	107835.0
d_108027	float64	Source column.	122929.0
d_132684	float64	Source column.	137204.0
d_79116	float64	Source column.	79730.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
source_period_end_year	Int64	Last year inferred from source resource metadata.	2021
source_period_label	string	Human-readable period inferred from source resource metadata.	2021
source_provider	string	Publishing organization.	National Bureau of Statistics, Tanzania
source_dataset	string	Source package title.	National Bureau of Statistics
source_resource	string	Source resource title.	High Frequency Data July 2021.xls
source_package_id	string	CKAN package UUID.	high-frequency-data
source_resource_id	string	CKAN resource UUID.	nbs-stat-200ec485802a58
source_url	string	Original source resource URL.	https://www.nbs.go.tz/uploads/statistics/documents/en-1705429386-High-Fr
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-21T20:05:22Z
quarter	string	Source column.	``
2015	float64	Source column.	``
2016	float64	Source column.	``
2017	float64	Source column.	``
2018	float64	Source column.	``
2019	float64	Source column.	``
2020	float64	Source column.	``
2021	float64	Source column.	``
total	string	Source column.	``
isic_rev_4	string	Source column.	``
industry_activity	string	Source column.	``
2019_2	float64	Source column.	``
2019_3	float64	Source column.	``
2019_4	float64	Source column.	``
2020_2	float64	Source column.	``
2020_3	float64	Source column.	``
2020_4	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-bb9f2bb2")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TZA"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_tanzania_national_bureau_of_statistics_bb9f2bb2_2021,
  title        = {National Bureau of Statistics | Africa (Tanzania official open data)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {2021},
  url          = {https://www.nbs.go.tz/statistics/topic/high-frequency-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-bb9f2bb2}}
}

License

Released under Other open license.

Original data (c) National Bureau of Statistics, Tanzania. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-21 via the Electric Sheep pipeline. Source URL: https://www.nbs.go.tz/uploads/statistics/documents/en-1705429386-High-Frequency_Data_July2021.xls