The coastal area stretches over 1 408 km2. A current population of 49 thousand in 2010 is projected to decrease to 44 thousand in 2100, with a density of 35 persons per km2 in 2010 decreasing to 31 per km2 by 2100. About 54% of coastal population lives in rural areas, and is projected to be decrease in share to 46% in 2100.
There are no poverty statistics for this LME.
Revenues and Spatial Wealth Distribution:
Fishing and tourism depend on ecosystem services provided by LMEs
. This LME ranks in the low-revenue category in fishing revenues based on yearly average total ex-vessel price of US 2013 $228 million for the period 2001-2010. Fish protein accounts for 43% of the total animal protein consumption of the coastal population. Its yearly average tourism revenue for 2004-2013 of US 2013 $264 million places it in the very low-revenue category. On average, LME-based tourism income contributes 0.1% to the national GDPs of the LME coastal states. Spatial distribution of economic activity (e.g.
spatial wealth distribution) measured by night-light and population distribution as coarse proxies can range from 0.0000 (totally equal distribution and lowest risk) to 1.0000 (concentrated in 1 place and most inequitable and highest risk). The Night Light Development Index (NLDI) thus indicates the level of spatial economic development, and that for this LME falls in the category with high risk.
Human Development Index:
Using the Human Development Index (HDI) that integrates measures of health, education and income, the present-day LME HDI belongs to the very high HDI and very low-risk category. Based on an HDI of 0.950, this LME has an HDI Gap of 0.050, the difference between present and highest possible HDI (1.000). The HDI Gap measures an overall vulnerability to external events such as disease or extreme climate related events, due to less than perfect health, education, and income levels, and is independent of the harshness of and exposure to specific external shocks.
There are no projected HDI values for this LME using the Shared Socioeconomic Development Scenarios.
Climate-Related Threat Indices:
The Climate-Related Threat Indices utilize the HDI Gaps for present-day and projected 2100 scenarios. The contemporary climate index accounts for deaths and property losses due to storms, flooding and extreme temperatures incurred by coastal states during a 20-year period from 1994 to 2013 as hazard measures, the 2010 coastal population as proxy for exposure, and the present day HDI Gap as vulnerability measure.
The Contemporary Threat Index incorporates a Dependence Factor based on the fish protein contribution to dietary animal protein, and on the mean contribution of LME tourism to the national GDPs of LME coastal states. The HDI Gap and the degree of dependence on LME ecosystem services define the vulnerability of a coastal population. It also includes the average of risk related to extreme climate events, and the risk based on the degrading system states of an LME (e.g. overexploited fisheries, pollution levels, decrease in coastal ecosystem areas).
The 2100 sea level rise threat indices, each computed for the sustainable world and fragmented world development pathways, use the maximum projected sea level rise at the highest level of warming of 8.5 W/m2 in 2100 as hazard measure, development pathway-specific 2100 populations in the 10 m × 10 km coast as exposure metrics, and development pathway-specific 2100 HDI Gaps as vulnerability estimates.
There are no data available to compute the Climate-Related Threat Indices for this LME.