The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2000. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2000 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2010. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2010 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2020. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2020 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2030. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2030 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2040. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2040 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2050. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2050 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2060. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2060 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2070. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2070 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in cumulative precipitation between the baseline time period (1960-1990) and 2080. Cumulative precipitation represents the annual average total precipitation. Cumulative precipitation was calculated by dividing the projected change by the baseline time period. Values greater than 1 indicate that cumulative precipitation is increasing, while values less than one indicate that cumulative precipitation is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2080 RCP 8.5 Projected Change in Cumulative Precipitation

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2000. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2000 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2010. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2010 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2020. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2020 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2030. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2030 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2040. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2040 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2050. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2050 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2060. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2060 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2070. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2070 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in annual minimum temperature between the baseline time period (1960-1990) and 2080. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2080 RCP 8.5 Projected Change in Annual Average Minimum Temperature (°C)

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2000. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2000 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2010. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2010 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2020. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2020 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2030. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2030 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2040. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2040 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2050. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2050 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2060. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2060 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2070. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2070 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in extreme precipitation days between the baseline time period (1960-1990) and 2080. Extreme precipitation days represent the annual average count of days with precipitation greater than the 99th percentile of the baseline. Values greater than 1 indicate that the number of extreme precipitation days is increasing, while values less than one indicate that the number is decreasing. The predicted change is estimated under a high emissions scenario (RCP 8.5).

2080 RCP 8.5 Projected Change in Extreme Precipitation Days

The projected change in annual average temperature between the baseline time period (1960-1990) and 2000. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2000 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2010. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2010 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2020. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2020 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2030. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2030 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2040. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2040 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2050. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2050 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2060. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2060 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2070. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2070 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The projected change in annual average temperature between the baseline time period (1960-1990) and 2080. The predicted change is estimated under a high emissions scenario (RCP 8.5). Temperature changes are shown in degrees Celsius (°C).

2080 RCP 8.5 Projected Change in Annual Average Temperature (°C)

The University of Notre Dame Global Adaptation Index (ND-GAIN) rates a country's vulnerability to climate change in combination with its readiness to improve resilience. ND-GAIN assesses the vulnerability of a country by considering six life-supporting sectors: food, water, health, ecosystem services, human habitat and infrastructure. ND-GAIN measures readiness by considering a country’s ability to leverage investments to adaptation actions. ND-GAIN indices span in range from 0 to 100 with higher values representing greater readiness and lower vulnerability.

2019 Notre Dame-Global Adaptation Index

2018 Notre Dame-Global Adaptation Index

2017 Notre Dame-Global Adaptation Index

2016 Notre Dame-Global Adaptation Index

2015 Notre Dame-Global Adaptation Index

2014 Notre Dame-Global Adaptation Index

2013 Notre Dame-Global Adaptation Index

2012 Notre Dame-Global Adaptation Index

2011 Notre Dame-Global Adaptation Index

2010 Notre Dame-Global Adaptation Index

2009 Notre Dame-Global Adaptation Index

2008 Notre Dame-Global Adaptation Index

2007 Notre Dame-Global Adaptation Index

2006 Notre Dame-Global Adaptation Index

2005 Notre Dame-Global Adaptation Index

2004 Notre Dame-Global Adaptation Index

2001 Notre Dame-Global Adaptation Index

2003 Notre Dame-Global Adaptation Index

2002 Notre Dame-Global Adaptation Index

2000 Notre Dame-Global Adaptation Index

1999 Notre Dame-Global Adaptation Index

1998 Notre Dame-Global Adaptation Index

1997 Notre Dame-Global Adaptation Index

1996 Notre Dame-Global Adaptation Index

1995 Notre Dame-Global Adaptation Index

The 2019 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2019 Vulnerability Score

The 2018 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2018 Vulnerability Score

The 2017 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2017 Vulnerability Score

The 2016 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2016 Vulnerability Score

The 2015 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2015 Vulnerability Score

The 2014 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2014 Vulnerability Score

The 2013 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2013 Vulnerability Score

The 2012 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2012 Vulnerability Score

The 2011 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2011 Vulnerability Score

The 2010 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2010 Vulnerability Score

The 2009 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2009 Vulnerability Score

The 2008 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2008 Vulnerability Score

The 2007 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2007 Vulnerability Score

The 2006 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2006 Vulnerability Score

The 2005 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2005 Vulnerability Score

The 2004 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2004 Vulnerability Score

The 2003 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2003 Vulnerability Score

The 2002 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2002 Vulnerability Score

The 2001 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2001 Vulnerability Score

The 2000 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

2000 Vulnerability Score

The 1999 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

1999 Vulnerability Score

The 1995 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

1995 Vulnerability Score

The 1998 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

1998 Vulnerability Score

The 1997 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

1997 Vulnerability Score

The 1996 Vulnerability score measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Scores are scaled between 0 and 1, with lower scores denoting countries that are less vulnerable. Overall vulnerability is assessed by considering 6 life-supporting sectors—food, water, health, ecosystem service, human habitat, and infrastructure—and 36 indicators.

1996 Vulnerability Score

The 2019 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2019 Food Vulnerability Score

The 2018 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2018 Food Vulnerability Score

The 2017 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2017 Food Vulnerability Score

The 2016 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2016 Food Vulnerability Score

The 2015 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2015 Food Vulnerability Score

The 2014 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2014 Food Vulnerability Score

The 2013 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2013 Food Vulnerability Score

The 2012 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2012 Food Vulnerability Score

The 2011 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2011 Food Vulnerability Score

The 2010 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2010 Food Vulnerability Score

The 2009 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2009 Food Vulnerability Score

The 2008 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2008 Food Vulnerability Score

The 2007 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2007 Food Vulnerability Score

The 2006 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2006 Food Vulnerability Score

The 2005 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2005 Food Vulnerability Score

The 2004 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2004 Food Vulnerability Score

The 2003 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2003 Food Vulnerability Score

The 2002 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2002 Food Vulnerability Score

The 2001 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2001 Food Vulnerability Score

The 2000 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

2000 Food Vulnerability Score

The 1999 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

1999 Food Vulnerability Score

The 1998 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

1998 Food Vulnerability Score

The 1997 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

1997 Food Vulnerability Score

The 1996 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

1996 Food Vulnerability Score

The 1995 Food Vulnerability Score shows a country’s vulnerability to climate change on a scale of 0 to 1. Lower scores are better and indicate countries that are less vulnerable. The Food score incorporates six indicators (projected change of cereal yields, projected population growth, food import dependency, rural population, agricultural capacity, and child malnutrition) to capture its vulnerability with regard to food production and demand, nutrition, and rural population.

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