--- license: cc-by-4.0 language: - en task_categories: - tabular-classification - tabular-regression multilinguality: monolingual size_categories: - n<1K tags: - tabular - csv - africa - rwanda - data-gov-rw - rwanda-data-sharing-platform - nisr - official-statistics - open-data - national-statistics - economy-and-finance - aggregated-data - demographics - economics pretty_name: "Expenditure on GDP (in billion RWF) - In current prices (2025) | Africa (Rwanda Data Sharing Platform - NISR)" --- # 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](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-16-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2025-01-01-2025-12-31-orange) ![indicators](https://img.shields.io/badge/indicators-0-purple) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey) ## 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)](https://api.data.gov.rw/api/v1/datasets/public/c8e60138-6d53-4c5b-bfb2-8e592049168f) - **Publisher:** NISR - **Portal:** [Rwanda Data Sharing Platform](https://data.gov.rw/) - **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](https://api.data.gov.rw/api/v1/datasets/public/c8e60138-6d53-4c5b-bfb2-8e592049168f/download?format=csv) - **License:** [CC BY 4.0](https://creativecommons.org/licenses/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 ```python 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 ```python rwanda = df[df["country_iso3"] == "RWA"] ``` ### 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_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](https://creativecommons.org/licenses/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](https://huggingface.co/electricsheepafrica) --- 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