electricsheepafrica/africa-rwanda-expenditure-on-gdp-in-billion-rwf-in-current-prices-2025-8f449511

Expenditure on GDP (in billion RWF) - In current prices (2025) | Africa (Rwanda Data Sharing Platform - NISR)

16 rows - 1 Africa country - 2025-01-01-2025-12-31 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one public table from Rwanda's official Data Sharing Platform as ML-ready Parquet. The source package is the provenance boundary: all usable source columns from this table stay together in this repo.

About the source

• Source: Expenditure on GDP (in billion RWF) - In current prices (2025)
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: c8e60138-6d53-4c5b-bfb2-8e592049168f
• Schema: GDP_National_Accounts_2025_Annual
• Table: table_4
• Sectors: National Statistics, Economy and Finance
• Source tags: Aggregated data
• Period: 2025-01-01-2025-12-31
• Resource: CSV package
• License: CC BY 4.0
• Packaging mode: tabular_resource

Source description

Summary: This aggregated data table contains data on expenditure on GDP (in billion RWF) in current prices. It is a part of the Gross Domestic Product (GDP) National Accounts 2025 Annual Report, which contains information on macro-economic aggregates including GDP by activity and expenditure breakdowns. Geographic Coverage: National (Rwanda) Time Period: January to December 2025 Frequency: Annual Population/Units: The unit of analysis is the national economy. Figures are given in billion RWF and in percentages. Key Variables: Expenditure description Purpose: This data supports macro-economic decision-making and a big-picture understanding of the national economy. Data Quality Notes: This report uses aggregates from multiple data sources. Data quality information is specific to each source.

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
RWA	16	n/a	n/a	Rwanda

Indicators or Resource Contents

• This source package is published as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa packaging.	c8e60138-6d53-4c5b-bfb2-8e592049168f:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
expenditure_description	string	Expenditure description	Gross Domestic Product
col_2024	int64	2024	19918
col_1999	int64	1999	720
col_2000	int64	2000	806
col_2001	int64	2001	871
col_2002	int64	2002	935
col_2003	int64	2003	1150
col_2004	int64	2004	1372
col_2005	int64	2005	1637
col_2006	int64	2006	1806
col_2007	int64	2007	2198
col_2008	int64	2008	2800
col_2009	int64	2009	3184
col_2010	int64	2010	3529
col_2011	int64	2011	4084
col_2012	int64	2012	4642
col_2013	int64	2013	4988
col_2014	int64	2014	5548
col_2015	int64	2015	6081
col_2016	int64	2016	6768
col_2017	int64	2017	7621
col_2018	int64	2018	8310
col_2019	int64	2019	9461
col_2020	int64	2020	9892
col_2021	int64	2021	11125
col_2022	int64	2022	14164
col_2023	int64	2023	17177
col_2024_1	int64	2024	19918
col_2025	int64	2025	23387
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	Expenditure on GDP (in billion RWF) - In current prices (2025)
source_resource	string	Source table name.	table_4
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	c8e60138-6d53-4c5b-bfb2-8e592049168f
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	c8e60138-6d53-4c5b-bfb2-8e592049168f
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/c8e60138-6d53-4c5b-bfb2-...
license_id	string	Source license identifier.	cc-by-4.0
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T11:48:51Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-expenditure-on-gdp-in-billion-rwf-in-current-prices-2025-8f449511")
df = ds["train"].to_pandas()
print(df.head())

Filter to Rwanda

rwanda = df[df["country_iso3"] == "RWA"]

Work with indicators

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

@misc{electric_sheep_africa_africa_rwanda_expenditure_on_gdp_in_billion_rwf_in_current_prices_2025_8f449511_2026,
  title        = {Expenditure on GDP (in billion RWF) - In current prices (2025) | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/c8e60138-6d53-4c5b-bfb2-8e592049168f},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-expenditure-on-gdp-in-billion-rwf-in-current-prices-2025-8f449511}}
}

License

Released under CC BY 4.0.

Original data (c) NISR. 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

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Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: https://api.data.gov.rw/api/v1/datasets/public/c8e60138-6d53-4c5b-bfb2-8e592049168f/download?format=csv