charts: 3045

This table contains the information used by our Grapher datavisualisation tool to render charts.

The most relevant field is the config field that contains json stored as text. A JSON Schema is available that describes the content of this json data. The SQLite JSON_EXTRACT function can be used in SQL queries to extract the content of this JSON data into columns in a result table.

Data license: CC-BY

This data as json

id slug type config createdAt updatedAt lastEditedAt publishedAt lastEditedByUserId publishedByUserId isIndexable title subtitle note title_plus_variant configWithDefaults
3045 extreme-poverty-2030-scenario-bar LineChart 
{
    "id": 3045,
    "map": {
        "colorScale": {
            "binningStrategy": "equalInterval"
        }
    },
    "slug": "extreme-poverty-2030-scenario-bar",
    "title": "Projected number of people in extreme poverty by scenario",
    "yAxis": {
        "max": 0,
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "minTime": "latest",
    "version": 3,
    "subtitle": "The projected number of people in extreme poverty in 2030 across five economic, education, fertility and natural resource scenarios (Shared Socioeconomic Pathways). The broad characterization of each scenario is labelled here, but further information can be found in the 'Sources' tab.",
    "originUrl": "https://ourworldindata.org/leaving-no-one-behind",
    "dimensions": [
        {
            "display": {
                "name": "Baseline (business-as-usual)",
                "color": "#818282",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98035
        },
        {
            "display": {
                "name": "High growth (not dependent on natural resources)",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98034
        },
        {
            "display": {
                "name": "Low growth & education, high fertility, climate challenges",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98036
        },
        {
            "display": {
                "name": "Polarization: high growth for rich; low growth for poor",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98037
        },
        {
            "display": {
                "name": "High economic growth (resulting in high CO\u2082)",
                "unit": "people in extreme poverty",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98038
        }
    ],
    "sourceDesc": "Crespo-Cuaresma et al. (2018)",
    "isPublished": true,
    "addCountryMode": "change-country",
    "selectedEntityNames": [
        "World"
    ],
    "selectedEntityColors": {
        "World": "#818282"
    }
}
 2018-09-17 10:58:39 2024-04-08 12:13:54 2024-01-03 09:20:03 2018-09-17 10:58:39 46 14 0 Projected number of people in extreme poverty by scenario The projected number of people in extreme poverty in 2030 across five economic, education, fertility and natural resource scenarios (Shared Socioeconomic Pathways). The broad characterization of each scenario is labelled here, but further information can be found in the 'Sources' tab.   Projected number of people in extreme poverty by scenario () 
{
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "map": {
        "projection": "World",
        "hideTimeline": false,
        "colorScale": {
            "baseColorScheme": "default",
            "equalSizeBins": true,
            "binningStrategy": "ckmeans",
            "customNumericColorsActive": false,
            "colorSchemeInvert": false,
            "binningStrategyBinCount": 5
        },
        "timeTolerance": 0,
        "toleranceStrategy": "closest",
        "tooltipUseCustomLabels": false,
        "time": "latest"
    },
    "maxTime": "latest",
    "baseColorScheme": "default",
    "yAxis": {
        "removePointsOutsideDomain": false,
        "scaleType": "linear",
        "canChangeScaleType": false,
        "facetDomain": "shared"
    },
    "tab": "chart",
    "matchingEntitiesOnly": false,
    "hasChartTab": true,
    "hideLegend": false,
    "hideLogo": false,
    "hideTimeline": false,
    "colorScale": {
        "baseColorScheme": "default",
        "equalSizeBins": true,
        "binningStrategy": "ckmeans",
        "customNumericColorsActive": false,
        "colorSchemeInvert": false,
        "binningStrategyBinCount": 5
    },
    "scatterPointLabelStrategy": "year",
    "selectedFacetStrategy": "none",
    "isPublished": true,
    "invertColorScheme": false,
    "version": 3,
    "logo": "owid",
    "entityType": "country or region",
    "facettingLabelByYVariables": "metric",
    "addCountryMode": "change-country",
    "compareEndPointsOnly": false,
    "type": "LineChart",
    "hasMapTab": false,
    "stackMode": "absolute",
    "minTime": "latest",
    "hideAnnotationFieldsInTitle": {
        "entity": false,
        "time": false,
        "changeInPrefix": false
    },
    "xAxis": {
        "removePointsOutsideDomain": false,
        "scaleType": "linear",
        "canChangeScaleType": false,
        "facetDomain": "shared"
    },
    "hideConnectedScatterLines": false,
    "showNoDataArea": true,
    "zoomToSelection": false,
    "showYearLabels": false,
    "hideLinesOutsideTolerance": false,
    "hideTotalValueLabel": false,
    "hideScatterLabels": false,
    "sortBy": "total",
    "sortOrder": "desc",
    "hideFacetControl": true,
    "entityTypePlural": "countries",
    "missingDataStrategy": "auto",
    "id": 3045,
    "slug": "extreme-poverty-2030-scenario-bar",
    "title": "Projected number of people in extreme poverty by scenario",
    "subtitle": "The projected number of people in extreme poverty in 2030 across five economic, education, fertility and natural resource scenarios (Shared Socioeconomic Pathways). The broad characterization of each scenario is labelled here, but further information can be found in the 'Sources' tab.",
    "originUrl": "https://ourworldindata.org/leaving-no-one-behind",
    "dimensions": [
        {
            "display": {
                "name": "Baseline (business-as-usual)",
                "color": "#818282",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98035
        },
        {
            "display": {
                "name": "High growth (not dependent on natural resources)",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98034
        },
        {
            "display": {
                "name": "Low growth & education, high fertility, climate challenges",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98036
        },
        {
            "display": {
                "name": "Polarization: high growth for rich; low growth for poor",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98037
        },
        {
            "display": {
                "name": "High economic growth (resulting in high CO\u2082)",
                "unit": "people in extreme poverty",
                "includeInTable": true
            },
            "property": "y",
            "variableId": 98038
        }
    ],
    "sourceDesc": "Crespo-Cuaresma et al. (2018)",
    "selectedEntityNames": [
        "World"
    ],
    "selectedEntityColors": {
        "World": "#818282"
    }
}

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