Viewing Collection: indicators

{
  "indicator": {
    "label": "Number of jobs created resulting from FLR activities included under Bonn Challenge Commitment",
    "description": "This indicator reflects one of the socioeconomic impacts of FLR activities under the Bonn Challenge. In particular, it measures the number of jobs created resulting from FLR activities included under Bonn ChallengeCommitment For more information, please visit the Bonn Challenge Barometer.",
    "id": "IUCN-BCB-S.JOBS",
    "dataset": "IUCN-BCB",
    "measurement_unit": "Number of jobs created",
    "picture": "",
    "related_landvoc_concepts": "forest conservation;land governance;poverty;",
    "related_themes": "Forest Landscape Restoration;Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "IUCN-BCB-S.JOBS"
}

{
  "indicator": {
    "label": "Funding dedicated to facilitate and support FLR activities included under the Bonn Challenge Commitment.",
    "description": "This indicator mesures the total funding dedicated to facilitate and support FLR activities included under the Bonn Challenge Commitment in each country. In the Bonn Challenge Barometer website, this figure is futher disaggregated into four categories: domestic public expenditure private Investment international donor support domestic philanthropic & non-profits. For more information, please visit the Bonn Challenge Barometer.",
    "id": "IUCN-BCB-FIN.FUND",
    "dataset": "IUCN-BCB",
    "measurement_unit": "Million US$",
    "picture": "",
    "related_landvoc_concepts": "land policies;land governance;land administration;forest conservation;",
    "related_themes": "Socio-Economic & Institutional Context;Land Stakeholders & Institutions;Forest Landscape Restoration;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "IUCN-BCB-FIN.FUND"
}

{
  "indicator": {
    "label": "Area committed under restoration in hectares counted toward Bonn Challenge Commitment (target)",
    "description": "This indicator measures the overall area (in hectares) committed under restoration in the context of the Bonn Challenge. In other words, this indicator reflects the overall restoration target, calculated as the sum of all commitments toeards the Bonn Challenge in a given country. For more information, please visit the Bonn Challenge Barometer.",
    "id": "IUCN-BCB-HUR.TARGET",
    "dataset": "IUCN-BCB",
    "measurement_unit": "Hectares (Ha)",
    "picture": "",
    "related_landvoc_concepts": "environment;forest monitoring and assessment;climate change;forest land;land use;forest management plans;",
    "related_themes": "Forest Tenure;Land, Climate Change & Environment;Forest Landscape Restoration;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "IUCN-BCB-HUR.TARGET"
}

{
  "indicator": {
    "label": "Cumulative estimated gross removal of CO2 from FLR activities included under the Bonn Challenge Commitment since 2011.",
    "description": "This indicator provides an estimate for the cumulative gross removal of CO2 from FLR activities included under the Bonn Challenge Commitment since 2011. Reported climate impacts are divided into three tiers to convey the level of confidence and accuracy in the reported figures: Tier 1 values offer low confidence in accuracy, derived by combining estiamtes of the area under restoration offering low confidence with carbon sequestration rates that are not geographically or FLR activity-specific. Tier 2 values offer moderate confidence in accuracy, derived by combining estimates of the area under restoration offering moderate confidence with carbon sequestration rates that are or are not geographically or FLR activity-specific. Tier 3 values are associated with high confidence in accuracy, derived by combining estimates of the area under restoration offering high confidence with carbon sequestration rates that are geographically or FLR activity-specific. For more information, please visit the Bonn Challenge Barometer.",
    "id": "IUCN-BCB-CM.CO2",
    "dataset": "IUCN-BCB",
    "measurement_unit": "Tonnes of C02 equivalent",
    "picture": "",
    "related_landvoc_concepts": "forest land;environment;climate change;",
    "related_themes": "Land, Climate Change & Environment;Forest Landscape Restoration;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "IUCN-BCB-CM.CO2"
}

{
  "indicator": {
    "label": "Area brought under restoration in hectares counted toward Bonn Challenge Commitment (actual)",
    "description": "This indicator measures the area (in hectares) actually brought under restoration -and counted toward the Bonn Challenge Commitment- in each country. Reported hectares under restoration are divided into three tiers to convey the level of confidence and accuracy in the reported figures: Tier 1 values offer low confidence in accuracy, derived from non-spatial country statistics and broad estimates with limited supporting documentation or ground validation. Tier 2 values offer moderate confidence in accuracy, derived from maps, surveys and other statistical data with some supporting documentation and ground validation. Tier 3 values are associated with high confidence in accuracy, derived from spatially-specific estiamtes supported by adequate documentation and ground validation. For more information, please visit the Bonn Challenge Barometer",
    "id": "IUCN-BCB-HUR.NUMBER",
    "dataset": "IUCN-BCB",
    "measurement_unit": "Hectares (Ha)",
    "picture": "",
    "related_landvoc_concepts": "food security;environment;forest management plans;climate change;forest conservation;forest land;",
    "related_themes": "Forest Tenure;Forest Landscape Restoration;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "IUCN-BCB-HUR.NUMBER"
}

{
  "indicator": {
    "label": "Corruption Perception Index - Country Ranking (New Methodology, from 2012 onwards)",
    "description": "The Corruption Perceptions Index aggregates data from a number of different sources that provide perceptions of business people and country experts of the level of corruption in the public sector. This indicator uses the CPI scores calculated every year to rank countries based on the level of perceived corruption (the country with the lowest level of percieved corruption is ranked number one). This indicator is based on the CPI methodology updated in 2012 ((See: http://files.transparency.org/content/download/2055/13232/file/CPI_2016_...)). For additional information, please visit: http://www.transparency.org/news/feature/corruption_perceptions_index_2016",
    "id": "TI-CPI-CPIRN",
    "dataset": "TI-CPI",
    "measurement_unit": "Rank",
    "picture": "",
    "related_landvoc_concepts": "delinquent behaviour;land governance;land investments;",
    "related_themes": "Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-CPI-CPIRN"
}

{
  "indicator": {
    "label": "Corruption Perception Index - Score (Old Methodology, 1995-2011)",
    "description": "The Corruption Perceptions Index aggregates data from a number of different sources that provide perceptions of business people and country experts of the level of corruption in the public sector. The indicator ranges from 0 (Very high level of percieved corruption) to 10 (very low level of perceived corruption. For the period 1995-2011 the indicator was calculated according to a methodology that has been revised starting from the 2012 round onwards (See: http://files.transparency.org/content/download/2055/13232/file/CPI_2016_...). For this reason the CPI scores for the period 1995-2011 have been separated from the CPI scores from 2012 onwards. For additional information, please visit: http://www.transparency.org/news/feature/corruption_perceptions_index_2016",
    "id": "TI-CPI-CPISO",
    "dataset": "TI-CPI",
    "measurement_unit": "Index (0; 10)",
    "picture": "",
    "related_landvoc_concepts": "land governance;land investments;delinquent behaviour;",
    "related_themes": "Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-CPI-CPISO"
}

{
  "indicator": {
    "label": "Corruption Perception Index - Country Ranking (Old Methodology, 1995-2011)",
    "description": "The Corruption Perceptions Index aggregates data from a number of different sources that provide perceptions of business people and country experts of the level of corruption in the public sector. This indicator uses the CPI scores calculated every year to rank countries based on the level of perceived corruption (the country with the lowest level of percieved corruption is ranked number one). This indicator is based on the old CPI methodology -- used between 1995 and 2011 and then updated in 2012 (See: file:///Users/marcello/Downloads/CPI_2016_TechnicalMethodologyNote_EN.pdf). For additional information, please visit: http://www.transparency.org/news/feature/corruption_perceptions_index_2016",
    "id": "TI-CPI-CPIRO",
    "dataset": "TI-CPI",
    "measurement_unit": "Rank",
    "picture": "",
    "related_landvoc_concepts": "land governance;land investments;delinquent behaviour;",
    "related_themes": "Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-CPI-CPIRO"
}

{
  "indicator": {
    "label": "Corruption Perception Index - Score (New Methodology, from 2012 onwards)",
    "description": "The Corruption Perceptions Index aggregates data from a number of different sources that provide perceptions of business people and country experts of the level of corruption in the public sector. The indicator ranges from 0 (Very high level of percieved corruption) to 100 (very low level of perceived corruption. This indicator is calculated using the methodology updated in 2012 (See: http://files.transparency.org/content/download/2055/13232/file/CPI_2016_...). For additional information, please visit: http://www.transparency.org/news/feature/corruption_perceptions_index_2016",
    "id": "TI-CPI-CPISN",
    "dataset": "TI-CPI",
    "measurement_unit": "Index (0; 100)",
    "picture": "",
    "related_landvoc_concepts": "delinquent behaviour;land governance;land investments;",
    "related_themes": "Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-CPI-CPISN"
}

{
  "indicator": {
    "label": "Concluded Projects - Funding (VGGT chapter 7 - Promotion, implementation, M & E)",
    "description": "Total funding for programmes related to VGGT chapter 7 (Promotion, implementation, M & E) and concluded by December 2018 (US$) in a given country, according to the Land Governance Programme Map & Database (https://landgov.donorplatform.org/). Last updated on the 31st of January, 2019.",
    "id": "DP-MOD-C-F-VGGT.7",
    "dataset": "DP-MOD",
    "measurement_unit": "US$ (Current)",
    "picture": "",
    "related_landvoc_concepts": "land governance;land rights;land use;security of tenure (land);",
    "related_themes": "Land Stakeholders & Institutions;Land & Investments;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "DP-MOD-C-F-VGGT.7"
}