variables: 900070

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.

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
900070 Public sector corruption index (best estimate, aggregate: population-weighted average)     2024-04-23 09:12:44 2024-07-25 23:13:49     1789-2023 6481     
{
    "numDecimalPlaces": 2
}
 0     corr_publsec_vdem__estimate_best__aggregate_method_population_weighted_average grapher/democracy/2024-03-07/vdem/vdem_multi_with_regions#corr_publsec_vdem__estimate_best__aggregate_method_population_weighted_average 
{
    "filters": [
        {
            "name": "estimate",
            "value": "best"
        },
        {
            "name": "aggregate_method",
            "value": "population-weighted average"
        }
    ],
    "originalName": "Public sector corruption index (best estimate, aggregate: population-weighted average)",
    "originalShortName": "corr_publsec_vdem"
}
 2     Public sector corruption index (best estimate, aggregate: population-weighted 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` 
[]
       
{
    "selectedEntityNames": [
        "Africa",
        "Asia",
        "Europe",
        "North America",
        "Oceania",
        "South America"
    ],
    "selectedEntityColors": {
        "asia": "#00847E",
        "africa": "#A2559C",
        "europe": "#4C6A9C",
        "oceania": "#9A5129",
        "northAmerica": "#C4523E",
        "southAmerica": "#883039"
    }
}
 float 
[]
 bfa4643486e203a42cd79d9cc29fea2f aea24a8f5cd33f85ecc4a8819d299f24

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