variables: 900042

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

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
900042 Public sector corruption index (best estimate, aggregate: average)     2024-04-23 09:12:40 2024-07-25 23:13:45     1789-2023 6481     
{
    "numDecimalPlaces": 2
}
 0     corr_publsec_vdem__estimate_best__aggregate_method_average grapher/democracy/2024-03-07/vdem/vdem_multi_with_regions#corr_publsec_vdem__estimate_best__aggregate_method_average 
{
    "filters": [
        {
            "name": "estimate",
            "value": "best"
        },
        {
            "name": "aggregate_method",
            "value": "average"
        }
    ],
    "originalName": "Public sector corruption index (best estimate, aggregate: average)",
    "originalShortName": "corr_publsec_vdem"
}
 2     Public sector corruption index (best estimate, aggregate: average)       Question: To what extent do public sector employees grant favors in exchange for bribes, kickbacks, or other material inducements, and how often do they steal, embezzle, or misappropriate public funds or other state resources for personal or family use? Clarification: The point estimates for this index have been reversed such that the directionality is opposite to the input variables. That is, lower scores indicate a normatively better situation (e.g. more democratic) and higher scores a normatively worse situation (e.g. less democratic). Note that this directionality is opposite of that of other V-Dem indices, which generally run from normatively worse to better. Scale: Interval, from low to high (0-1). Indicator name: `v2x_pubcorr` 
[]
 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 
[]
 c9c38ad9a33a371977790b62b8ce6be5 9c77619ef9880a032b583d44ec536f1b

Links from other tables