electricsheepafrica/africa-tanzania-national-bureau-of-statistics-a7f985f9

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

1,016 rows - 1 Africa country/area - 2014-2025 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 1,016 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: 30 June, 2025 First Quarter GDP 2025 (Excel)

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	1,016
Countries/areas	1
First period	2014
Last period	2025
Indicators	0
Columns	106
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TZA	1,016	2014	2025	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-83cc3ab1e32b9c:kp: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.	KP
year	double	Observation year.	2025.0
column_1	string	Source column from the original resource.	``
first_quarter	string	Source column from the original resource.	Second quarter
kp	string	Source column from the original resource.	KP
d_19521081_182271425	double	Source column from the original resource.	18873279.25537269
d_20391552_988066323	double	Source column from the original resource.	20156061.98005891
d_22128917_77204552	double	Source column from the original resource.	21906577.14390917
d_22777582_679639775	double	Source column from the original resource.	23366847.597876757
d_24979342_828820243	double	Source column from the original resource.	25288295.92675876
d_26204841_67741144	double	Source column from the original resource.	26971637.86828447
d_28158693_806710556	double	Source column from the original resource.	28588513.08185301
d_29989110_243006185	double	Source column from the original resource.	30750534.28349592
d_31548703_397172134	double	Source column from the original resource.	31989092.5262866
d_32979627_421054892	double	Source column from the original resource.	33154201.76023929
d_34955519_63423956	double	Source column from the original resource.	34786535.07880673
d_36722396_82717622	double	Source column from the original resource.	36443272.62151599
d_38642568_56265918	double	Source column from the original resource.	38308363.4596884
d_40714624_86279398	double	Source column from the original resource.	``
source_period_start_year	int64	Start year inferred from source metadata.	2025
source_period_end_year	int64	End year inferred from source metadata.	2025
source_period_label	string	Source column from the original resource.	2025
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.	First Quarter GDP 2025 (Excel)
source_package_id	string	Source package identifier.	gross-domestic-product-gdp
source_resource_id	string	Source resource identifier.	nbs-stat-83cc3ab1e32b9c
source_url	string	Original source URL or download URL.	https://www.nbs.go.tz/uploads/statistics/documents/en-1759739708-Firs...
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
cu	string	Source column from the original resource.	``
d_15268564_944278441	double	Source column from the original resource.	``
d_17540255_73750493	double	Source column from the original resource.	``
d_20394914_368570935	double	Source column from the original resource.	``
d_22226504_47890516	double	Source column from the original resource.	``
d_26222427_696684986	double	Source column from the original resource.	``
d_28980389_33713526	double	Source column from the original resource.	``
d_30611824_534842562	double	Source column from the original resource.	``
d_32675980_67607978	double	Source column from the original resource.	``
d_35392151_72263901	double	Source column from the original resource.	``
d_38205630_43053747	double	Source column from the original resource.	``
d_41616559_404922225	double	Source column from the original resource.	``
d_45861787_286255196	double	Source column from the original resource.	``
d_49774348_39897994	double	Source column from the original resource.	``
d_54216718_899176344	double	Source column from the original resource.	``
quarter	double	Source column from the original resource.	``
agriculture	double	Source column from the original resource.	``
mining_and_quarrying	double	Source column from the original resource.	``
manufacturing	double	Source column from the original resource.	``
electricity	double	Source column from the original resource.	``
water	double	Source column from the original resource.	``
construction	double	Source column from the original resource.	``
trade_and_repair	double	Source column from the original resource.	``
accommodation_restaurant	double	Source column from the original resource.	``
transport_and_storage	double	Source column from the original resource.	``
information_and_communication	double	Source column from the original resource.	``
financial_insurance	double	Source column from the original resource.	``
year_2	double	Source column from the original resource.	``
quarter_2	double	Source column from the original resource.	``
public_administration	double	Source column from the original resource.	``
professional_scientific_technical_act	double	Source column from the original resource.	``
administrative_support_services	double	Source column from the original resource.	``
real_estate	double	Source column from the original resource.	``
education	double	Source column from the original resource.	``
health	double	Source column from the original resource.	``
other_services	double	Source column from the original resource.	``
all_industry_at_basic_qrices	double	Source column from the original resource.	``
taxes_on_qroducts	double	Source column from the original resource.	``
gdq_at_market_qrices	double	Source column from the original resource.	``
all_industry_at_basic_prices	double	Source column from the original resource.	``
taxes_on_products	double	Source column from the original resource.	``
gdp_at_market_prices	double	Source column from the original resource.	``
agri_culture	double	Source column from the original resource.	``
manu_facturing	double	Source column from the original resource.	``
tanzania	string	Source column from the original resource.	``
d_4_5	double	Source column from the original resource.	``
d_6	double	Source column from the original resource.	``
d_5_1	double	Source column from the original resource.	``
d_5_2	double	Source column from the original resource.	``
d_5_4	double	Source column from the original resource.	``
q1_2025	string	Source column from the original resource.	``
sadc_countries_growth_q1_2025	double	Source column from the original resource.	``
paddy	string	Source column from the original resource.	``
d_568_8773358473319	double	Source column from the original resource.	``
d_623_346069327474	double	Source column from the original resource.	``
d_0_09574776502391669	double	Source column from the original resource.	``
d_9_574776502391671	double	Source column from the original resource.	``
q4_2024	string	Source column from the original resource.	``
2021	double	Source column from the original resource.	``
2022	double	Source column from the original resource.	``
2023	double	Source column from the original resource.	``
2024	string	Source column from the original resource.	``
2025	double	Source column from the original resource.	``
d_5_991250865142361	double	Source column from the original resource.	``
primary_activities	string	Source column from the original resource.	``
d_0_4069490389717137	double	Source column from the original resource.	``
d_20709274_33748908	double	Source column from the original resource.	``
accommodation_and_restaurant	string	Source column from the original resource.	``
d_2_2965645651911615	double	Source column from the original resource.	``
accommodation_and_restaurant_2	double	Source column from the original resource.	``
financial_and_insurance	double	Source column from the original resource.	``
public_administration_defence	double	Source column from the original resource.	``
administrative_and_support_services	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-a7f985f9")
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: [First Quarter GDP 2025 (Excel)](https://www.nbs.go.tz/uploads/statistics/documents/en-1759739708-First Quarter GDP 2025.xls)
• License: other-open
• Retrieved/generated: 2026-07-21T20:20:59Z
• Hugging Face repo: electricsheepafrica/africa-tanzania-national-bureau-of-statistics-a7f985f9

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
• 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_a7f985f9_2025,
  title        = {National Bureau of Statistics | Africa (National Bureau of Statistics, Tanzania)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {2025},
  url          = {https://www.nbs.go.tz/statistics/topic/gross-domestic-product-gdp},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-a7f985f9}}
}

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/gross-domestic-product-gdp