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Add ML-ready official indicator dataset
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---
license: other
language:
- en
task_categories:
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- 1K<n<10K
tags:
- tabular
- xlsx
- africa
- tanzania
- official-statistics
- open-data
pretty_name: "National Bureau of Statistics | Africa (Tanzania official open data)"
---
# National Bureau of Statistics | Africa (Tanzania official open data)
1,774 rows - 1 Africa country - 2014-2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
![rows](https://img.shields.io/badge/rows-1774-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-2014-2025-orange)
![indicators](https://img.shields.io/badge/indicators-23-purple)
![license](https://img.shields.io/badge/license-other-lightgrey)
## TL;DR
This dataset packages one official `XLSX` resource from **Tanzania** as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
## About the source
- **Source:** [National Bureau of Statistics](https://www.nbs.go.tz/statistics/topic/gross-domestic-product-gdp)
- **Publisher:** National Bureau of Statistics, Tanzania
- **Resource:** [The Fourth Quarter GDP 2025 (Excel)](https://www.nbs.go.tz/uploads/statistics/documents/en-1784021208-Excel Q4_2025_Eng.xlsx)
- **Format:** `XLSX`
- **License:** [Other open license]()
- **Packaging mode:** `indicator_long`
## Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---------|-----:|-----------:|----------:|------|
| `TZA` | 1,774 | 2014 | 2025 | `Tanzania` |
## Indicators or Resource Contents
- `national-bureau-of-statistics-quarter-e02f7784` - National Bureau of Statistics - quarter
- `national-bureau-of-statistics-agriculture-37bc69f3` - National Bureau of Statistics - agriculture
- `national-bureau-of-statistics-mining-and-quarrying-7be55d60` - National Bureau of Statistics - mining and quarrying
- `national-bureau-of-statistics-manufacturing-acceeb2c` - National Bureau of Statistics - manufacturing
- `national-bureau-of-statistics-electricity-363944e1` - National Bureau of Statistics - electricity
- `national-bureau-of-statistics-water-82316510` - National Bureau of Statistics - water
- `national-bureau-of-statistics-construction-906dd05d` - National Bureau of Statistics - construction
- `national-bureau-of-statistics-trade-and-repair-978013d5` - National Bureau of Statistics - trade and repair
- `national-bureau-of-statistics-accommodation-restaurant-6846181f` - National Bureau of Statistics - accommodation restaurant
- `national-bureau-of-statistics-transport-and-storage-8578d7b2` - National Bureau of Statistics - transport and storage
- `national-bureau-of-statistics-information-and-communication-0639967e` - National Bureau of Statistics - information and communication
- `national-bureau-of-statistics-financial-insurance-a117c58e` - National Bureau of Statistics - financial insurance
- `national-bureau-of-statistics-qublic-administration-38f4d596` - National Bureau of Statistics - qublic administration
- `national-bureau-of-statistics-qrofessional-scientific-technical-act-f5b3a07d` - National Bureau of Statistics - qrofessional scientific technical act
- `national-bureau-of-statistics-administrative-support-services-8f4493dc` - National Bureau of Statistics - administrative support services
- `national-bureau-of-statistics-real-estate-010f2f6f` - National Bureau of Statistics - real estate
- `national-bureau-of-statistics-education-3c1af329` - National Bureau of Statistics - education
- `national-bureau-of-statistics-health-5fb67caf` - National Bureau of Statistics - health
- `national-bureau-of-statistics-arts-entertainmen-recreation-498ca083` - National Bureau of Statistics - arts entertainmen recreation
- `national-bureau-of-statistics-other-services-074f453c` - National Bureau of Statistics - other services
## Schema
| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `indicator_id` | `string` | Stable indicator identifier. | `national-bureau-of-statistics-quarter-e02f7784` |
| `indicator_name` | `string` | Human-readable indicator name. | `National Bureau of Statistics - quarter` |
| `country_iso3` | `string` | ISO3 country code. | `TZA` |
| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `TABLES 1-4` |
| `country_name` | `string` | Country name. | `Tanzania` |
| `year` | `Int64` | Observation year. | `2014` |
| `value` | `float64` | Numeric observation value. | `1.0` |
| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2025` |
| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` |
| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2025-2026` |
| `source_provider` | `string` | Publishing organization. | `National Bureau of Statistics, Tanzania` |
| `source_dataset` | `string` | Source package title. | `National Bureau of Statistics` |
| `source_resource` | `string` | Source resource title. | `The Fourth Quarter GDP 2025 (Excel)` |
| `source_package_id` | `string` | CKAN package UUID. | `gross-domestic-product-gdp` |
| `source_resource_id` | `string` | CKAN resource UUID. | `nbs-stat-d54b8cbc0f3570` |
| `source_url` | `string` | Original source resource URL. | `https://www.nbs.go.tz/uploads/statistics/documents/en-1784021208-Excel Q` |
| `license_id` | `string` | Source license identifier. | `other-open` |
| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-21T20:19:26Z` |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-95e551fd")
df = ds["train"].to_pandas()
print(df.head())
```
### Filter to one country
```python
sample_country = df[df["country_iso3"] == "TZA"]
```
### Work with indicators
```python
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
```
## Citation
```bibtex
@misc{electric_sheep_africa_africa_tanzania_national_bureau_of_statistics_95e551fd_2025,
title = {National Bureau of Statistics | Africa (Tanzania official open data)},
author = {National Bureau of Statistics, Tanzania},
year = {2025},
url = {https://www.nbs.go.tz/statistics/topic/gross-domestic-product-gdp},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-95e551fd}}
}
```
## License
Released under [Other open license]().
Original data (c) National Bureau of Statistics, Tanzania. When using this dataset, please cite both the
original source above and the Electric Sheep Africa repackaging.
## About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use `load_dataset()`
to start working in seconds.
Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
---
Provenance: ingested 2026-07-21 via the Electric Sheep pipeline. Source URL:
https://www.nbs.go.tz/uploads/statistics/documents/en-1784021208-Excel Q4_2025_Eng.xlsx