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Dataset of central government debt, internally displaced persons and by conflict and violence of countries
This dataset is about countries, has 194 rows and is 67% filled with non-null values. It features 3 columns: central government debt, country, and internally displaced persons, by conflict and violence. The preview is ordered by population (descending).
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There are 3 fields used in this dataset, including filters:
- Central Government Debt (% of GDP): Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.
- Country: Name of country.
- Internally Displaced Persons, By Conflict And Violence (people): Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. “People displaced” refers to the number of people living in displacement as of the end of each year, and reflects the stock of people displaced at the end of the previous year, plus inflows of new cases arriving over the year as well as births over the year to those displaced, minus outflows which may include returnees, those who settled elsewhere, those who integrated locally, those who travelled over borders, and deaths.
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Size: 194 rows
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This dataset is based on data from: SIPRI, World Bank, Reporters Without Borders.
This dataset can be used under the CC BY 4.0 license.