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---
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title: "Country Representation Rankings"
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sdk: "datasets"
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taskCategories:
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- "research"
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tags:
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- "descriptive representation"
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- "political leadership"
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- "political science"
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- "social science"
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- "demographics"
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license: "mit"
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datasets:
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- "CountryRepresentationRankings.csv"
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---
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# Country Representation Rankings
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**Filename**: `CountryRepresentationRankings.csv`
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This dataset is part of the Global Leadership Project (GLP) and presents a set of indices measuring how closely a country’s political leadership reflects the demographic characteristics of its population.
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---
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## Context
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The .csv source provides:
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- **Overall**: An overall representation index. Higher (positive) scores suggest political leadership is more demographically similar to the general population, while more negative scores imply greater shortfalls in representation.
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- **Representation Gap**: The difference between the observed levels of representation and what would be expected under a random selection model.
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- **Ethnicity, Gender, Religion, Language**: Specific representation indices broken down by group type.
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**Note**: Because some observations did not meet our 75% completeness threshold, we used an imputation algorithm for missing data. Values should be interpreted with caution.
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For full details on how the data was collected and how each index was computed, please refer to the accompanying paper:
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```
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@article{Gerring2024Composition,
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title={The Composition of Descriptive Representation},
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author={Gerring, John and Jerzak, Connor T. and Öncel, Erzen},
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journal={American Political Science Review},
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year={2024},
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volume={118},
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number={2},
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pages={784--801},
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url={https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7EAEA1CA4C553AB9D76054D1FA9C0840/S0003055423000680a.pdf/the-composition-of-descriptive-representation.pdf}
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}
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```
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---
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## Dataset Structure
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Each row corresponds to a country and contains:
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| **Column** | **Description** |
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|------------------------|-------------------------------------------------------------------------------------------------------------------------------------|
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| `Country` | Country name |
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| `Overall` | Overall representation index |
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| `Representation Gap` | Gap between observed and expected representation levels |
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| `Ethnicity` | Representation index for ethnic groups |
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| `Gender` | Representation index by gender |
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| `Religion` | Representation index for religious groups |
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| `Language` | Representation index for language groups |
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---
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## Usage
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Researchers and policymakers can use these metrics to:
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- Compare levels of demographic representation across countries.
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- Identify areas where representation may be lacking (e.g., by gender or religion).
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- Track changes in representation indices over time if multiple data snapshots are available.
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---
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## Methodological Notes
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- **Data Imputation**: Some entries were imputed when countries did not meet the 75% completeness threshold.
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- **Interpretation**: The indices are constructed relative to population demographics; a score near 1 indicates close parity between leaders and population groups, while scores closer to 0 or negative values suggest underrepresentation.
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---
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## License
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This dataset is made available under the MIT License. Feel free to use and adapt it, but please provide appropriate credit and citation.
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---
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## Citation
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If you use this dataset, please cite the following paper:
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> Gerring, John, Connor T. Jerzak, and Erzen Öncel. 2024. “The Composition of Descriptive Representation.” *American Political Science Review* 118(2): 784–801.
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> [Link](https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7EAEA1CA4C553AB9D76054D1FA9C0840/S0003055423000680a.pdf/the-composition-of-descriptive-representation.pdf)
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---
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