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Datasets:
electricsheepafrica
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africa-tanzania-national-bureau-of-statistics-8c81d3e0

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
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Tags:
tabular
xls
africa
tanzania
official-statistics
open-data
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metadata 
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
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)

228 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
TZA 228 2026 2026 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-0e1a91381d4be4:2021-rebased-series: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. 2021_REBASED SERIES
year Int64 Observation year. 2026
s_n float64 Source column. ``
major_groups string Source column. INFLATION RATE
weights float64 Source column. ``
2020 float64 Source column. 3.152626042808304
2021 float64 Source column. 3.53198016721652
2021_2 float64 Source column. 3.3031044127693754
2021_3 float64 Source column. 3.165375564514017
2021_4 float64 Source column. 3.298870081794547
2021_5 float64 Source column. 3.3499512825533984
2021_6 float64 Source column. 3.593649781468655
2021_7 float64 Source column. 3.81279749262049
2021_8 float64 Source column. 3.844651799633492
2021_9 float64 Source column. 4.041785760507133
2021_10 float64 Source column. 4.036276598347599
2021_11 float64 Source column. 4.147773148102929
2021_12 float64 Source column. 4.16580602586567
annual_average float64 Source column. 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_062026
source_package_id string CKAN package UUID. consumer-price-index-2026
source_resource_id string CKAN resource UUID. nbs-stat-0e1a91381d4be4
source_url string Original source resource URL. https://www.nbs.go.tz/uploads/statistics/documents/en-1783516058-CPI Sum
license_id string Source license identifier. other-open
retrieved_at string UTC retrieval timestamp. 2026-07-21T20:19:26Z
2022 float64 Source column. ``
2022_2 float64 Source column. ``
2022_3 float64 Source column. ``
2022_4 float64 Source column. ``
2022_5 float64 Source column. ``
2022_6 float64 Source column. ``
2022_7 float64 Source column. ``
2022_8 float64 Source column. ``
2022_9 float64 Source column. ``
2022_10 float64 Source column. ``
2022_11 float64 Source column. ``
2022_12 float64 Source column. ``
column_1 float64 Source column. ``
all_items_index string Source column. ``
d_100 float64 Source column. ``
d_110_0059862738567 float64 Source column. ``
d_110_80899424867764 float64 Source column. ``
d_111_27521612969062 float64 Source column. ``
d_112_12587857167243 float64 Source column. ``
d_112_53743610116287 float64 Source column. ``
d_112_71994947208118 float64 Source column. ``
d_112_81282628360859 float64 Source column. ``
d_112_66898915675567 float64 Source column. ``
d_112_25247068064428 float64 Source column. ``
d_112_34798815996687 float64 Source column. ``
d_112_17587809184703 float64 Source column. ``
d_112_6726354975784 float64 Source column. ``
d_113_34071255940322 float64 Source column. ``
d_112_31158124609073 float64 Source column. ``
d_114_08885146405525 float64 Source column. ``
d_114_64544526255436 float64 Source column. ``
d_115_50831378071997 float64 Source column. ``
d_116_05590593040294 float64 Source column. ``
d_116_182187582218 float64 Source column. ``
d_116_30096856903239 float64 Source column. ``
d_116_04201504331722 float64 Source column. ``
d_115_78449779649706 float64 Source column. ``
d_115_87958312335394 float64 Source column. ``
d_115_54083703430358 float64 Source column. ``
d_116_0494133608614 float64 Source column. ``
d_116_86536106361109 float64 Source column. ``
d_115_74528166757726 float64 Source column. ``
2024 float64 Source column. ``
2025 float64 Source column. ``
2025_2 float64 Source column. ``
2025_3 float64 Source column. ``
2025_4 float64 Source column. ``
2025_5 float64 Source column. ``
2025_6 float64 Source column. ``
2025_7 float64 Source column. ``
2025_8 float64 Source column. ``
2025_9 float64 Source column. ``
2025_10 float64 Source column. ``
2025_11 float64 Source column. ``
2025_12 float64 Source column. ``
2026 float64 Source column. ``
2026_2 float64 Source column. ``
2026_3 float64 Source column. ``
2026_4 float64 Source column. ``
2026_5 float64 Source column. ``
2026_6 float64 Source column. ``
2026_7 string Source column. ``
2026_8 string Source column. ``
2026_9 string Source column. ``
2026_10 string Source column. ``
2026_11 string Source column. ``
2026_12 string Source column. ``

Usage 

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-8c81d3e0")
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_8c81d3e0_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-8c81d3e0}}
}

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-1783516058-CPI Summary_062026.xls