charts

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

12 rows where publishedByUserId = 49 sorted by id descending

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Suggested facets: type, createdAt, updatedAt, publishedAt, lastEditedByUserId, isIndexable, subtitle, createdAt (date), updatedAt (date), lastEditedAt (date), publishedAt (date)

id ▲ slug type config createdAt updatedAt lastEditedAt publishedAt lastEditedByUserId publishedByUserId isIndexable title subtitle note title_plus_variant configWithDefaults
6278 population-marimekko Marimekko 
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            "baseColorScheme": "GnBu",
            "binningStrategy": "manual",
            "customNumericValues": [
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                300000000,
                1000000000,
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            ],
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        },
        "columnSlug": "597930"
    },
    "note": "Historical country data is shown based on today's geographical borders.",
    "slug": "population-marimekko",
    "type": "Marimekko",
    "title": "Population",
    "yAxis": {
        "max": 0,
        "min": 0,
        "canChangeScaleType": true
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "minTime": "latest",
    "version": 53,
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/population-growth",
    "stackMode": "relative",
    "dimensions": [
        {
            "display": {
                "unit": "people",
                "shortUnit": "",
                "includeInTable": true,
                "numDecimalPlaces": 0
            },
            "property": "y",
            "variableId": 953903
        },
        {
            "property": "color",
            "variableId": 123
        }
    ],
    "isPublished": true,
    "variantName": "since 10,000 BCE, Marimekko",
    "excludedEntities": [],
    "relatedQuestions": [
        {
            "url": "https://ourworldindata.org/population-sources",
            "text": "What sources do we rely on for population estimates?"
        }
    ],
    "hideRelativeToggle": false,
    "matchingEntitiesOnly": true
}
 2022-11-17 17:41:51 2024-07-17 09:56:08 2024-07-17 09:56:08 2022-11-17 17:48:58 Pablo Rosado 58 Marcel Gerber 49 1 Population   Historical country data is shown based on today's geographical borders. Population (since 10,000 BCE, Marimekko) 
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    "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": true,
    "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": 53,
    "logo": "owid",
    "entityType": "country or region",
    "facettingLabelByYVariables": "metric",
    "addCountryMode": "add-country",
    "compareEndPointsOnly": false,
    "type": "Marimekko",
    "hasMapTab": true,
    "stackMode": "relative",
    "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": 6278,
    "note": "Historical country data is shown based on today's geographical borders.",
    "slug": "population-marimekko",
    "title": "Population",
    "originUrl": "https://ourworldindata.org/population-growth",
    "dimensions": [
        {
            "display": {
                "unit": "people",
                "shortUnit": "",
                "includeInTable": true,
                "numDecimalPlaces": 0
            },
            "property": "y",
            "variableId": 953903
        },
        {
            "property": "color",
            "variableId": 123
        }
    ],
    "variantName": "since 10,000 BCE, Marimekko",
    "excludedEntities": [],
    "relatedQuestions": [
        {
            "url": "https://ourworldindata.org/population-sources",
            "text": "What sources do we rely on for population estimates?"
        }
    ],
    "hideRelativeToggle": false
}
6249 number-new-cs-phds-us-by-specialty LineChart 
{
    "id": 6249,
    "map": {
        "columnSlug": "525797"
    },
    "note": "Since 2010, total response rates for the Taulbee Survey have ranged between 61\u201374%. This means that not every graduate is included, and the share who are varies from year to year.",
    "slug": "number-new-cs-phds-us-by-specialty",
    "title": "Share of computer science PhDs specializing in artificial intelligence in the US and Canada",
    "yAxis": {
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "version": 50,
    "subtitle": "PhDs who graduated in a given year from academic units of computer science, computer engineering, and information that responded to the Computing Research Association's Taulbee Survey.",
    "originUrl": "http://ourworldindata.org/artificial-intelligence",
    "dimensions": [
        {
            "property": "y",
            "variableId": 737494
        }
    ],
    "entityType": "specialty",
    "hideLegend": true,
    "sourceDesc": "Computing Research Association via AI Index Report (2023)",
    "isPublished": true,
    "addCountryMode": "disabled",
    "entityTypePlural": "specialties",
    "hideRelativeToggle": false,
    "selectedEntityNames": [
        "United States and Canada"
    ],
    "hideAnnotationFieldsInTitle": {
        "time": true,
        "entity": true,
        "changeInPrefix": true
    }
}
 2022-10-27 08:45:06 2024-04-08 12:13:54 2023-07-18 08:02:32 2023-07-08 17:50:52 Veronika Samborska 72 Marcel Gerber 49 1 Share of computer science PhDs specializing in artificial intelligence in the US and Canada PhDs who graduated in a given year from academic units of computer science, computer engineering, and information that responded to the Computing Research Association's Taulbee Survey. Since 2010, total response rates for the Taulbee Survey have ranged between 61–74%. This means that not every graduate is included, and the share who are varies from year to year. Share of computer science PhDs specializing in artificial intelligence in the US and Canada () 
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    "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": true,
    "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": 50,
    "logo": "owid",
    "entityType": "specialty",
    "facettingLabelByYVariables": "metric",
    "addCountryMode": "disabled",
    "compareEndPointsOnly": false,
    "type": "LineChart",
    "hasMapTab": false,
    "stackMode": "absolute",
    "minTime": "earliest",
    "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": "specialties",
    "missingDataStrategy": "auto",
    "id": 6249,
    "note": "Since 2010, total response rates for the Taulbee Survey have ranged between 61\u201374%. This means that not every graduate is included, and the share who are varies from year to year.",
    "slug": "number-new-cs-phds-us-by-specialty",
    "title": "Share of computer science PhDs specializing in artificial intelligence in the US and Canada",
    "subtitle": "PhDs who graduated in a given year from academic units of computer science, computer engineering, and information that responded to the Computing Research Association's Taulbee Survey.",
    "originUrl": "http://ourworldindata.org/artificial-intelligence",
    "dimensions": [
        {
            "property": "y",
            "variableId": 737494
        }
    ],
    "sourceDesc": "Computing Research Association via AI Index Report (2023)",
    "hideRelativeToggle": false,
    "selectedEntityNames": [
        "United States and Canada"
    ]
}
3154 humanitarian-food-aid-received LineChart 
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    "map": {
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            "baseColorScheme": "YlGnBu",
            "binningStrategy": "manual",
            "customNumericColors": [
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            ],
            "customNumericValues": [
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                100000000,
                200000000,
                300000000,
                400000000,
                500000000,
                1000000000
            ]
        },
        "columnSlug": "98740"
    },
    "tab": "map",
    "slug": "humanitarian-food-aid-received",
    "title": "Humanitarian and food aid received",
    "yAxis": {
        "max": 0,
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "version": 3,
    "subtitle": "The sum (total) humanitarian and developmental aid received directly in a given year. This is measured in constant 2016 USD.",
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/leaving-no-one-behind",
    "dimensions": [
        {
            "property": "y",
            "variableId": 98740
        }
    ],
    "sourceDesc": "Organisation for Economic Co-operation and Development (OECD)",
    "isPublished": true,
    "selectedEntityNames": [
        "Nepal",
        "Libya",
        "Afghanistan",
        "Syria",
        "Yemen"
    ]
}
 2023-03-11 12:44:40 2024-04-08 12:13:54 2023-03-11 12:48:00 2023-03-11 12:35:14 Marcel Gerber 49 Marcel Gerber 49 0 Humanitarian and food aid received The sum (total) humanitarian and developmental aid received directly in a given year. This is measured in constant 2016 USD.   Humanitarian and food aid received () 
{
    "$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": "map",
    "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": "add-country",
    "compareEndPointsOnly": false,
    "type": "LineChart",
    "hasMapTab": true,
    "stackMode": "absolute",
    "minTime": "earliest",
    "hideAnnotationFieldsInTitle": {
        "entity": false,
        "time": false,
        "changeInPrefix": false
    },
    "xAxis": {
        "removePointsOutsideDomain": false,
        "scaleType": "linear",
        "canChangeScaleType": false,
        "facetDomain": "shared"
    },
    "hideConnectedScatterLines": false,
    "showNoDataArea": true,
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    "showYearLabels": false,
    "hideLinesOutsideTolerance": false,
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    "hideScatterLabels": false,
    "sortBy": "total",
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    "hideFacetControl": true,
    "entityTypePlural": "countries",
    "missingDataStrategy": "auto",
    "id": 3154,
    "slug": "humanitarian-food-aid-received",
    "title": "Humanitarian and food aid received",
    "subtitle": "The sum (total) humanitarian and developmental aid received directly in a given year. This is measured in constant 2016 USD.",
    "originUrl": "https://ourworldindata.org/leaving-no-one-behind",
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    "sourceDesc": "Organisation for Economic Co-operation and Development (OECD)",
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}
3147 years-as-underaided DiscreteBar 
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            "baseColorScheme": "YlOrRd",
            "binningStrategy": "manual",
            "customNumericValues": [
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            ]
        },
        "columnSlug": "98730"
    },
    "tab": "map",
    "slug": "years-as-underaided",
    "type": "DiscreteBar",
    "title": "Number of years as a top under-aided country",
    "yAxis": {
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "version": 7,
    "subtitle": "The number of years a country has been defined as a top under-aided country over the period from 2006 to 2016. Top under-aided countries are defined by the OECD are those which are are \"underfunded\" by need relative to others.",
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/leaving-no-one-behind",
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        }
    ],
    "sourceDesc": "Organisation for Economic Co-operation and Development (OECD)",
    "isPublished": true,
    "hideTimeline": true,
    "internalNotes": "For OECD report - do not delete.",
    "selectedEntityNames": [
        "Malawi",
        "Democratic Republic of Congo",
        "Chad",
        "Burkina Faso",
        "Burundi",
        "Gambia",
        "Guinea-Bissau",
        "Guinea",
        "Madagascar",
        "Niger",
        "Togo"
    ]
}
 2023-03-11 12:44:40 2024-04-08 12:13:54 2023-03-11 12:47:22 2023-03-11 12:35:14 Marcel Gerber 49 Marcel Gerber 49 0 Number of years as a top under-aided country The number of years a country has been defined as a top under-aided country over the period from 2006 to 2016. Top under-aided countries are defined by the OECD are those which are are "underfunded" by need relative to others.   Number of years as a top under-aided country () 
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            "binningStrategyBinCount": 5
        },
        "timeTolerance": 0,
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    },
    "maxTime": "latest",
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    },
    "scatterPointLabelStrategy": "year",
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    "isPublished": true,
    "invertColorScheme": false,
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    "facettingLabelByYVariables": "metric",
    "addCountryMode": "add-country",
    "compareEndPointsOnly": false,
    "type": "DiscreteBar",
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    "stackMode": "absolute",
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    },
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    "hideFacetControl": true,
    "entityTypePlural": "countries",
    "missingDataStrategy": "auto",
    "id": 3147,
    "slug": "years-as-underaided",
    "title": "Number of years as a top under-aided country",
    "subtitle": "The number of years a country has been defined as a top under-aided country over the period from 2006 to 2016. Top under-aided countries are defined by the OECD are those which are are \"underfunded\" by need relative to others.",
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        "Guinea-Bissau",
        "Guinea",
        "Madagascar",
        "Niger",
        "Togo"
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}
3146 top-underaided-countries LineChart 
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            "binningStrategy": "manual",
            "customCategoryColors": {
                "Aid Orphan": "#ca2628",
                "Under-aided": "#3360a9",
                "Donor Darling": "#3360a9"
            },
            "customNumericColorsActive": true
        },
        "columnSlug": "98729"
    },
    "tab": "map",
    "slug": "top-underaided-countries",
    "title": "Top under-aided countries",
    "yAxis": {
        "max": 0,
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
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    "sourceDesc": "Organisation for Economic Co-operation and Development (OECD)",
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    "isPublished": true,
    "internalNotes": "For OECD Report - do not delete.",
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        "Burundi": "#3360a9",
        "Madagascar": "#3360a9",
        "Burkina Faso": "#3360a9",
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        "Democratic Republic of Congo": "#3360a9"
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}
 2023-03-11 12:44:41 2024-04-08 12:13:54 2023-03-11 12:47:30 2023-03-11 12:35:14 Marcel Gerber 49 Marcel Gerber 49 0 Top under-aided countries Countries defined as the top under-aided countries. This is assessed on the basis of multiple aid allocation models: the Egalitarian, Performance-based allocation (PBA), UNDP, and Collier-Dollar poverty allocation (CD) model. The top under-aided countries in a given year are defined here as those identified as underfunded on the basis of 3 or more of the allocation models.   Top under-aided countries () 
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        "hideTimeline": false,
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            "binningStrategyBinCount": 5
        },
        "timeTolerance": 0,
        "toleranceStrategy": "closest",
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    },
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 2023-03-11 12:44:40 2024-04-08 12:13:54 2023-03-11 12:47:45 2023-03-11 12:35:14 Marcel Gerber 49 Marcel Gerber 49 0 Total aid received by state of fragility Total aid received directly, which is the sum of country programmable aid (CPA), humanitarian and food aid, measured in constant 2016 USD. This is aggregated by fragility group, as defined by the OECD's State of Fragility (2018) analysis.   Total aid received by state of fragility () 
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 2023-03-11 12:44:40 2024-07-31 09:04:43 2024-07-31 09:04:43 2023-03-11 12:35:14 ETL 74 Marcel Gerber 49 0 Aid received per capita vs. GDP per capita Total aid received directly per capita versus gross domestic product (GDP) per capita. Total aid received directly is the sum of country programmable aid (CPA), humanitarian and food aid, measured in constant 2016 USD per person. GDP per capita is measured in constant international-$. Bubble size represents the estimated number of people below the international poverty line of $1.90 per person per day.   Aid received per capita vs. GDP per capita () 
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 2023-03-11 12:44:40 2024-04-08 12:13:54 2024-01-03 09:26:50 2023-03-11 12:35:14 Edouard Mathieu 46 Marcel Gerber 49 0 Aid received per capita Total aid received directly per capita. This is the sum of country programmable aid (CPA), humanitarian and food aid, divided by the population size. This is measured in constant 2016 USD per person. Data from 2017 to 2019 is based on forward spending plans of CPA.   Aid received per capita () 
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 2023-03-10 20:00:04 2024-04-08 12:13:54 2023-03-10 20:02:09 2023-03-10 19:57:29 Marcel Gerber 49 Marcel Gerber 49 1 Value added growth vs. CO₂ emissions growth in Germany Gross domestic product (GDP) growth of individual sectors (adjusted for inflation) versus growth in carbon dioxide (CO₂) emissions over the period 1995-2009. Sectors in the top left quadrant have decoupled their emissions from economic growth - whilst their emissions fell, their economic value grew. Direct emissions of households are not included.   Value added growth vs. CO₂ emissions growth in Germany () 
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2427 value-added-growth-vs-emissions-growth-china ScatterPlot 
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 2023-03-10 20:00:04 2024-04-08 12:13:54 2023-03-10 20:02:01 2023-03-10 19:57:29 Marcel Gerber 49 Marcel Gerber 49 1 Value added growth vs. CO₂ emissions growth in China Gross domestic product (GDP) growth of individual sectors (adjusted for inflation) versus growth in carbon dioxide (CO₂) emissions over the period 1995-2009. Sectors in the top left quadrant have decoupled their emissions from economic growth - whilst their emissions fell, their economic value grew. Direct emissions of households are not included.   Value added growth vs. CO₂ emissions growth in China () 
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2426 value-added-vs-share-of-emissions-germany ScatterPlot 
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 2023-03-10 20:00:05 2024-04-08 12:13:54 2023-03-10 20:01:54 2023-03-10 19:57:29 Marcel Gerber 49 Marcel Gerber 49 1 Contribution to value added vs. share of CO₂ emissions in Germany Contribution of individual sectors to net economic output versus its share of total national carbon dioxide (CO₂) emissions in 2009. Sectors which lie above the line contribute more to the value added than the emissions in Germany. Direct emissions of households are not included.   Contribution to value added vs. share of CO₂ emissions in Germany () 
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2424 value-added-vs-share-of-emissions-china ScatterPlot 
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 2023-03-10 20:00:05 2024-04-08 12:13:54 2023-03-10 20:01:44 2023-03-10 19:57:29 Marcel Gerber 49 Marcel Gerber 49 1 Contribution to value added vs. share of CO₂ emissions in China Contribution of individual sectors to net economic output versus its share of total national carbon dioxide (CO₂) emissions in 2009. Sectors which lie above the line contribute more to the value added than to the emissions in China. Direct emissions of households are not included.   Contribution to value added vs. share of CO₂ emissions in China () 
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CREATE INDEX "charts_slug" ON "charts" ("slug");
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