electricsheepafrica/africa-tanzania-national-bureau-of-statistics-2d2c98e9

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

903 rows - 1 Africa country/area - 2019 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 903 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

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: 19 December, 2019 Muhtasari wa Robo ya Nne ya Pato la Taifa 2019.xls

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	903
Countries/areas	1
First period	2019
Last period	2019
Indicators	0
Columns	71
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TZA	903	2019	2019	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-fb82ecc146f430: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	int64	Observation year.	2019
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_17306180_189698387	double	Source column from the original resource.	17271845.491051305
d_18930030_349909037	double	Source column from the original resource.	18637181.246352088
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_26203060_444535024	double	Source column from the original resource.	26972929.236096703
d_28173964_210462037	double	Source column from the original resource.	28625492.133284558
d_30019858_063764572	double	Source column from the original resource.	30686784.496015623
source_period_start_year	int64	Start year inferred from source metadata.	2019
source_period_end_year	int64	End year inferred from source metadata.	2019
source_period_label	string	Source column from the original resource.	2019
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.	Muhtasari wa Robo ya Nne ya Pato la Taifa 2019.xls
source_package_id	string	Source package identifier.	gross-domestic-product-gdp
source_resource_id	string	Source resource identifier.	nbs-stat-fb82ecc146f430
source_url	string	Original source URL or download URL.	https://www.nbs.go.tz/uploads/statistics/documents/en-1705429386-Muht...
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_4717373_182077181	double	Source column from the original resource.	``
d_5652482_839539187	double	Source column from the original resource.	``
d_6536663_1759536695	double	Source column from the original resource.	``
d_7847114_60153761	double	Source column from the original resource.	``
d_9171069_792413443	double	Source column from the original resource.	``
d_11202903_986448098	double	Source column from the original resource.	``
d_13140372_553359587	double	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_28992987_99863649	double	Source column from the original resource.	``
d_32132681_28225083	double	Source column from the original resource.	``
d_33714827_55988811	double	Source column from the original resource.	``
mwaka	double	Source column from the original resource.	``
robo_mwaka	double	Source column from the original resource.	``
kilimo	double	Source column from the original resource.	``
madini_na_mawe	double	Source column from the original resource.	``
viwanda	double	Source column from the original resource.	``
umeme	double	Source column from the original resource.	``
maji_safi_na_maji_taka	double	Source column from the original resource.	``
ujenzi	double	Source column from the original resource.	``
biashara_na_matengenezo	double	Source column from the original resource.	``
malazi_na_huduma_ya_chakula	double	Source column from the original resource.	``
uchukuzi_na_uhifadhi_mizigo	double	Source column from the original resource.	``
habari_na_mawasiliano	double	Source column from the original resource.	``
fedha_na_bima	double	Source column from the original resource.	``
mwaka_2	double	Source column from the original resource.	``
robo_mwaka_2	double	Source column from the original resource.	``
utawala_na_ulinzi	double	Source column from the original resource.	``
sughuli_za_kitaaluma_sayansi_na_ufundi	double	Source column from the original resource.	``
huduma_zinazohusiana_na_utawala	double	Source column from the original resource.	``
upangishaji_majengo	double	Source column from the original resource.	``
elimu	double	Source column from the original resource.	``
afya_na_huduma_za_jami	double	Source column from the original resource.	``
huduma_nyingine_za_kijamii	double	Source column from the original resource.	``
jumla_ya_ongezeko_la_thamani	double	Source column from the original resource.	``
jumla_ya_ongezeko_la_thamani_2	double	Source column from the original resource.	``
ongeza_kodi_katika_bidhaa	double	Source column from the original resource.	``
pato_la_taifa_gdp_kwa_bei_za_soko	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-2d2c98e9")
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: [Muhtasari wa Robo ya Nne ya Pato la Taifa 2019.xls](https://www.nbs.go.tz/uploads/statistics/documents/en-1705429386-Muhtasari_wa_Robo ya_4_ya_Pato_la_Taifa_ 2019.xls)
• License: other-open
• Retrieved/generated: 2026-07-21T20:20:10Z
• Hugging Face repo: electricsheepafrica/africa-tanzania-national-bureau-of-statistics-2d2c98e9

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

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• 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_2d2c98e9_2019,
  title        = {National Bureau of Statistics | Africa (National Bureau of Statistics, Tanzania)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {2019},
  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-2d2c98e9}}
}

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