variables: 900043
Data license: CC-BY
This data as json
id | name | unit | description | createdAt | updatedAt | code | coverage | timespan | datasetId | sourceId | shortUnit | display | columnOrder | originalMetadata | grapherConfigAdmin | shortName | catalogPath | dimensions | schemaVersion | processingLevel | processingLog | titlePublic | titleVariant | attributionShort | attribution | descriptionShort | descriptionFromProducer | descriptionKey | descriptionProcessing | licenses | license | grapherConfigETL | type | sort | dataChecksum | metadataChecksum |
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900043 | Political corruption index (best estimate, aggregate: average) | 2024-04-23 09:12:41 | 2024-07-25 23:13:45 | 1789-2023 | 6481 | { "numDecimalPlaces": 2 } |
0 | corruption_vdem__estimate_best__aggregate_method_average | grapher/democracy/2024-03-07/vdem/vdem_multi_with_regions#corruption_vdem__estimate_best__aggregate_method_average | { "filters": [ { "name": "estimate", "value": "best" }, { "name": "aggregate_method", "value": "average" } ], "originalName": "Political corruption index (best estimate, aggregate: average)", "originalShortName": "corruption_vdem" } |
2 | Political corruption index | (best estimate, aggregate: average) | Best estimate of the extent to which a country is affected by political corruption. | Question: How pervasive is political corruption? Clarification: The directionality of the V-Dem corruption index runs from less corrupt to more corrupt unlike the other V-Dem variables that generally run from less democratic to more democratic situation. The corruption index includes measures of six distinct types of corruption that cover both different areas and levels of the polity realm, distinguishing between executive, legislative and judicial corruption. Within the executive realm, the measures also distinguish between corruption mostly pertaining to bribery and corruption due to embezzlement. Finally, they differentiate between corruption in the highest echelons of the executive at the level of the rulers/cabinet on the one hand, and in the public sector at large on the other. The measures thus tap into several distinguished types of corruption: both 'petty' and 'grand'; both bribery and theft; both corruption aimed and influencing law making and that affecting implementation. Scale: Interval, from low to high (0-1). Indicator name: `v2x_corr` | [] |
The regional aggregates (including values for the World) have been estimated by averaging the country values. | { "selectedEntityNames": [ "Africa", "Asia", "Europe", "North America", "Oceania", "South America" ], "selectedEntityColors": { "asia": "#00847E", "africa": "#A2559C", "europe": "#4C6A9C", "oceania": "#9A5129", "northAmerica": "#C4523E", "southAmerica": "#883039" } } |
float | [] |
16a0ab7a49e92d1407430eef1570382f | 794c52cf5af637e6bb7d4aa3ef2ebaf6 |