electricsheepafrica/africa-tanzania-national-bureau-of-statistics-aac53f7d

National Bureau of Statistics | Africa (National Bureau of Statistics, Tanzania)

151 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 151 rows from National Bureau of Statistics, Tanzania, covering National Bureau of Statistics. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: 10 December, 2024 CPI Summary_112024

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	151
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	78
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TZA	151	2024	2024	Tanzania

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.	nbs-stat-f5ace9d2aed0b4:2021-rebased-series:0
country_iso3	string	ISO3 country or area code.	TZA
country_name	string	Country or area name.	Tanzania
source_sheet	string	Source column from the original resource.	2021_REBASED SERIES
year	int64	Observation year.	2024
s_n	double	Source column from the original resource.	``
major_groups	string	Source column from the original resource.	INFLATION RATE
weights	double	Source column from the original resource.	``
2020	double	Source column from the original resource.	3.152626042808304
2021	double	Source column from the original resource.	3.53198016721652
2021_2	double	Source column from the original resource.	3.3031044127693754
2021_3	double	Source column from the original resource.	3.165375564514017
2021_4	double	Source column from the original resource.	3.298870081794547
2021_5	double	Source column from the original resource.	3.3499512825533984
2021_6	double	Source column from the original resource.	3.593649781468655
2021_7	double	Source column from the original resource.	3.81279749262049
2021_8	double	Source column from the original resource.	3.844651799633492
2021_9	double	Source column from the original resource.	4.041785760507133
2021_10	double	Source column from the original resource.	4.036276598347599
2021_11	double	Source column from the original resource.	4.147773148102929
2021_12	double	Source column from the original resource.	4.16580602586567
annual_average	double	Source column from the original resource.	3.69101833278056
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	string	Source column from the original resource.	2024
source_provider	string	Publishing organization.	National Bureau of Statistics, Tanzania
source_dataset	string	Source dataset or package title.	National Bureau of Statistics
source_resource	string	Source resource title, table name, or file name.	CPI Summary_112024
source_package_id	string	Source package identifier.	consumer-price-index-2024
source_resource_id	string	Source resource identifier.	nbs-stat-f5ace9d2aed0b4
source_url	string	Original source URL or download URL.	https://www.nbs.go.tz/uploads/statistics/documents/en-1733842035-CPI ...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-21T20:19:26Z
2022	double	Source column from the original resource.	``
2022_2	double	Source column from the original resource.	``
2022_3	double	Source column from the original resource.	``
2022_4	double	Source column from the original resource.	``
2022_5	double	Source column from the original resource.	``
2022_6	double	Source column from the original resource.	``
2022_7	double	Source column from the original resource.	``
2022_8	double	Source column from the original resource.	``
2022_9	double	Source column from the original resource.	``
2022_10	double	Source column from the original resource.	``
2022_11	double	Source column from the original resource.	``
2022_12	double	Source column from the original resource.	``
2023	double	Source column from the original resource.	``
2023_2	double	Source column from the original resource.	``
2023_3	double	Source column from the original resource.	``
2023_4	double	Source column from the original resource.	``
2023_5	double	Source column from the original resource.	``
2023_6	double	Source column from the original resource.	``
2023_7	double	Source column from the original resource.	``
2023_8	double	Source column from the original resource.	``
2023_9	double	Source column from the original resource.	``
2023_10	double	Source column from the original resource.	``
2023_11	double	Source column from the original resource.	``
2023_12	double	Source column from the original resource.	``
d_1	double	Source column from the original resource.	``
food_and_non_alcoholic_beverages	string	Source column from the original resource.	``
d_28_182815699934938	double	Source column from the original resource.	``
d_118_82878200981499	double	Source column from the original resource.	``
d_119_38565584804698	double	Source column from the original resource.	``
d_121_28442921632664	double	Source column from the original resource.	``
d_123_05231741740819	double	Source column from the original resource.	``
d_124_07453729688027	double	Source column from the original resource.	``
d_123_72497642665161	double	Source column from the original resource.	``
d_122_5788639578162	double	Source column from the original resource.	``
d_121_25700338836225	double	Source column from the original resource.	``
d_121_11813285418262	double	Source column from the original resource.	``
d_121_16577227598356	double	Source column from the original resource.	``
d_120_50122069187988	double	Source column from the original resource.	``
d_121_94649442123816	double	Source column from the original resource.	``
column_16	string	Source column from the original resource.	``
column_17	string	Source column from the original resource.	``
d_0_5484647781470842	double	Source column from the original resource.	``
d_1_1993851357355423	double	Source column from the original resource.	``
d_2_4900680165133693	double	Source column from the original resource.	``
d_3_280702566427429	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-aac53f7d")
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"] == "TZA"]

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: National Bureau of Statistics, Tanzania
• Publisher: National Bureau of Statistics, Tanzania
• Portal: https://www.nbs.go.tz
• Resource: [CPI Summary_112024](https://www.nbs.go.tz/uploads/statistics/documents/en-1733842035-CPI Summary_112024.xls)
• License: other-open
• Retrieved/generated: 2026-07-21T20:20:39Z
• Hugging Face repo: electricsheepafrica/africa-tanzania-national-bureau-of-statistics-aac53f7d

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

• Track workforce composition over time
• Compare employment patterns across groups
• Join with education, population, and sector data
• 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_tanzania_national_bureau_of_statistics_aac53f7d_2024,
  title        = {National Bureau of Statistics | Africa (National Bureau of Statistics, Tanzania)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {2024},
  url          = {https://www.nbs.go.tz/statistics/topic/consumer-price-index-2024},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-aac53f7d}}
}

License

Released under other-open.

Original data is published by National Bureau of Statistics, Tanzania. 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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.nbs.go.tz/statistics/topic/consumer-price-index-2024