Datasets:

electricsheepafrica
/

africa-tanzania-national-bureau-of-statistics-ec049201

license: other
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - 1K<n<10K
tags:
  - tabular
  - xls
  - africa
  - tanzania
  - official-statistics
  - open-data
  - energy
  - tourism
  - health
  - population
  - economics
pretty_name: National Bureau of Statistics | Africa (Tanzania official open data)

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

2,554 rows - 1 Africa country - 2020-2026 - 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: [CPI Summary_042026](https://www.nbs.go.tz/uploads/statistics/documents/en-1778237591-CPI Summary_042026.xls)
Format: XLS
License: Other open license
Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`TZA`	2,554	2020	2026	`Tanzania`

Indicators or Resource Contents

national-bureau-of-statistics-ec049201 - National Bureau of Statistics

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`national-bureau-of-statistics-ec049201`
`indicator_name`	`string`	Human-readable indicator name.	`National Bureau of Statistics`
`country_iso3`	`string`	ISO3 country code.	`TZA`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`2021_REBASED SERIES`
`country_name`	`string`	Country name.	`Tanzania`
`year`	`Int64`	Observation year.	`2020`
`value`	`float64`	Numeric observation value.	`3.152626042808304`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_s_n`	`string`	Source dimension.	``
`dimension_major_groups`	`string`	Source dimension.	`INFLATION RATE`
`dimension_weights`	`string`	Source dimension.	``
`dimension_annual_average`	`string`	Source dimension.	`3.69101833278056`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2026`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2026`
`source_period_label`	`string`	Human-readable period inferred from source resource metadata.	`2026`
`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.	`CPI Summary_042026`
`source_package_id`	`string`	CKAN package UUID.	`consumer-price-index-2026`
`source_resource_id`	`string`	CKAN resource UUID.	`nbs-stat-05df611ea1cf0c`
`source_url`	`string`	Original source resource URL.	`https://www.nbs.go.tz/uploads/statistics/documents/en-1778237591-CPI Sum`
`license_id`	`string`	Source license identifier.	`other-open`
`retrieved_at`	`string`	UTC retrieval timestamp.	`2026-07-21T20:19:26Z`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-ec049201")
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_ec049201_2026,
  title        = {National Bureau of Statistics | Africa (Tanzania official open data)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {2026},
  url          = {https://www.nbs.go.tz/statistics/topic/consumer-price-index-2026},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-ec049201}}
}

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

Provenance: ingested 2026-07-21 via the Electric Sheep pipeline. Source URL: https://www.nbs.go.tz/uploads/statistics/documents/en-1778237591-CPI Summary_042026.xls