{
  "docId": "019dd923-5de0-76bd-a168-f2ba0a2cd584",
  "docSlug": "d726e8e4c68c4b19",
  "documentTitle": "Women in Work Index 2019",
  "authorId": "PwC",
  "authorName": "PwC",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.414,
  "pageNumber": 23,
  "pageCount": 44,
  "prevPage": 22,
  "nextPage": 24,
  "slideType": "comparison_table",
  "function": "compare_peers",
  "density": "dense",
  "nDataPoints": 14,
  "notes": "The slide uses a central comparison table format to contrast seven specific labor market metrics for China and India.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "comparison_table",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a168-f2ba0a2cd584/23",
  "deckHref": "/decks/019dd923-5de0-76bd-a168-f2ba0a2cd584",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a168-f2ba0a2cd584.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-f2ba0a2cd584#slide-23",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Today, these countries account for 35% of the global female workforce.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-3beb-760d-a9df-47d481eb893f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Female labour force participation rate: 69%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-3beb-760d-a9df-4bc8515f4cfd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "paragraph",
      "text": "In this edition of Women in Work, we assess how two of the world's most populous countries would have performed had they been included in the Index. While these countries are not formally part of the OECD, both countries are economic powerhouses in their own right. Between 2000 and 2017, these countries have added 167 million people to the global workforce, including 26 million women. Today, these countries account for 35% of the global female workforce.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c9b53b91-f9f8-4c5e-9100-74ac4b16bbf9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.05,
        "y": 0.86
      },
      "kind": "source-note",
      "text": "1. The combined figures for India and China do not add to 35% due to rounding. China makes up 25.3% of the global female labour force and India 9.4%, this gives 34.7% overall. Source: PwC analysis, World Bank, ILO",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "abd6dab3-d2c9-47b5-af6c-8445136cb6c6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.52,
        "w": 0.52,
        "x": 0.24,
        "y": 0.33
      },
      "kind": "table",
      "text": "Comparison table of 7 metrics for China and India",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2ec50786-2805-404b-bbed-51bd08cc18fe",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.9,
        "x": 0.05,
        "y": 0.07
      },
      "kind": "title",
      "text": "China and India have made significant improvements in female economic empowerment, however there is room for further progress to promote gender equality and economic opportunity for women",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "34507c2f-9a8c-4221-b0f9-4796c7a6c8a0",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 44,
      "from": 21,
      "beatId": "3fa89504-a775-4611-b3b2-934eebfed37a",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Action",
      "beatSlug": "monroes-sequence-action",
      "evidence": "The report concludes with recommendations for organisations to translate policies into effective change.",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 26,
      "from": 23,
      "name": "Pattern Hunter",
      "slug": "02-pattern-hunter",
      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "908cf81f-1762-4ba6-874a-ebab87c53a6b",
      "evidence": "The report compares the performance of China and India on female economic empowerment.",
      "position": 1,
      "objective": "Identifying patterns and trends in female economic empowerment",
      "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
      "confidence": 0.6,
      "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}