electricsheepafrica/africa-tanzania-national-bureau-of-statistics-14f7326b

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

17 rows - 1 Africa country/area - 2014-2015 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 17 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

Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.

Source-provided context: 17 January, 2015 ILFS2014-DisabilitiesBySex.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: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	17
Countries/areas	1
First period	2014
Last period	2015
Indicators	0
Columns	19
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TZA	17	2014	2015	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-634c60feb9587a:sheet1:0
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.	Sheet1
total	string	Source column from the original resource.	Albinism
d_949505_8872749823	string	Source column from the original resource.	6036.891958758281
d_1276164_9724283551	double	Source column from the original resource.	8818.74191381762
d_2225670_859703336	double	Source column from the original resource.	14855.6338725759
source_period_start_year	int64	Start year inferred from source metadata.	2014
source_period_end_year	int64	End year inferred from source metadata.	2015
source_period_label	string	Source column from the original resource.	2014-2015
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.	ILFS2014-DisabilitiesBySex.xls
source_package_id	string	Source package identifier.	disability-surveys
source_resource_id	string	Source resource identifier.	nbs-stat-634c60feb9587a
source_url	string	Original source URL or download URL.	https://www.nbs.go.tz/uploads/statistics/documents/en-1705491990-ILFS...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-21T20:05:22Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-14f7326b")
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

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• 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: ILFS2014-DisabilitiesBySex.xls
• License: other-open
• Retrieved/generated: 2026-07-21T20:11:00Z
• Hugging Face repo: electricsheepafrica/africa-tanzania-national-bureau-of-statistics-14f7326b

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

• Compare health outcomes across geographies
• Track changes over time
• Join with population or facility data
• 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_14f7326b_2015,
  title        = {National Bureau of Statistics | Africa (National Bureau of Statistics, Tanzania)},
  author       = {National Bureau of Statistics, Tanzania},
  year         = {2015},
  url          = {https://www.nbs.go.tz/statistics/topic/disability-surveys},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-14f7326b}}
}

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/disability-surveys