electricsheepafrica/africa-tanzania-national-bureau-of-statistics-5cea23c1

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

2,922 rows - 1 Africa country/area - 1966-1976 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 2,922 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

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: 16 December, 2022 Tanzania Mainland GDP Series 1966 - 2022.xlsx

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension	Value
Rows	2,922
Countries/areas	1
First period	1966
Last period	1976
Indicators	1
Columns	20
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TZA	2,922	1966	1976	Tanzania

Indicators, Variables, Or Resource Contents

• national-bureau-of-statistics-5cea23c1 - National Bureau of Statistics(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	national-bureau-of-statistics-5cea23c1
indicator_name	string	Human-readable indicator name.	National Bureau of Statistics
country_iso3	string	ISO3 country or area code.	TZA
source_sheet	string	Source column from the original resource.	1976 - 1992
country_name	string	Country or area name.	Tanzania
year	int64	Observation year.	1966
value	double	Numeric observation value.	2952.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_economic_activity	string	Source dimension retained during long-form normalization.	Agriculture, Forestry, Fishing and Hunting
source_period_start_year	int64	Start year inferred from source metadata.	1966
source_period_end_year	int64	End year inferred from source metadata.	2022
source_period_label	string	Source column from the original resource.	1966-2022
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.	Tanzania Mainland GDP Series 1966 - 2022.xlsx
source_package_id	string	Source package identifier.	annual-national-accounts-publications
source_resource_id	string	Source resource identifier.	nbs-stat-6bca62c7faa3f0
source_url	string	Original source URL or download URL.	https://www.nbs.go.tz/uploads/statistics/documents/en-1705429386-Tanz...
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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-5cea23c1")
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: [Tanzania Mainland GDP Series 1966 - 2022.xlsx](https://www.nbs.go.tz/uploads/statistics/documents/en-1705429386-Tanzania_Mainland_GDP_Series_1966 - 2022.xlsx)
• License: other-open
• Retrieved/generated: 2026-07-21T20:20:21Z
• Hugging Face repo: electricsheepafrica/africa-tanzania-national-bureau-of-statistics-5cea23c1

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

• Build time-series dashboards
• Compare economic indicators
• Join with population or sector data
• Build time-series views and period-over-period comparisons
• Pivot to geography x period or indicator x period matrices
• 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_5cea23c1_1976,
  title        = {National Bureau of Statistics | Africa (National Bureau of Statistics, Tanzania)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {1976},
  url          = {https://www.nbs.go.tz/statistics/topic/annual-national-accounts-publications},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-5cea23c1}}
}

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/annual-national-accounts-publications