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Pakistan 32 32 71 Lowest Score Highest Score Designed to translate the complexity of food security into an opportunity for action, the Rice Bowl Index (RBI) is a living database that assesses how robust a country’s capacity is to address the challenges of food security. Agriculture as a percentage of Pakistan’s GDP has declined, but remains its most important sector, employing a large share of its labor force. Production of staple crops such as rice and wheat has increased. Despite this growth, food insecurity has remains an issue due to economic instability, internal conflicts, and natural disasters. RBI SCORE DETAIL 28 18 50 30 Policy & Trade Farm-Level Environmental Demand & Price Value Ease of Doing Business Rating Ecosystem Vitality Biodiversity & Habitat Value 138 Road Density per 100 Square km of Land Area 70 Domestic Credit to Private Sector, % of GDP, 100% = 1 Ecosystem Vitality Agriculture 41 Arable Land, '000 ha Ecosystem Vitality - Fisheries 40 Land Equipped for Irrigation, ha Value 35.6 0.3 Domestic Food Price Level Index 12.8 Vulnerability to Sea-Level Rise 0.5 Food Supply per capita, calories per day 7.2 2422 Change in Oil Imports, %YOY, '000 bbl per day, 100% = 1 Consumer Price Index, %YOY Vulnerability to Agricultural Productivity Loss 4.6 20700298 Ecosystem Vitality - Forestry 50 31080 Electric Power Consumption, kWh per capita 519 Population, %YOY 2.1 291 Urban Population, number %YOY 3.1 73.2 Protein Supply Quantity, g per capita per day 66.0 21627 Political Stability and Absence of Violence/Terrorism -2.4 Cereal Yield, kg per ha Logistics Performance Index 2.8 Mobile Phone Subscriptions, per 100 people 73.7 Government Spending, US$ per capita 182.3 Unit Labor Cost Index, %YOY -11.1 Intellectual Property Rights, index 4.3 Improved Water Source, Rural (% of Rural Population with Access) 88.2 -1,021,789 Adult Literacy Rate, % Aged 15 and Above, 100% = 1 0.6 Net Trade in Agricultural Products, US$ '000 Value Vulnerability to Extreme Weather Total Internal Renewable Water Resources, qm per capita Freshwater Withdrawal as % of Total Renewable Water Resources 0 4.5 AREAS FOR ACTION FARM-LEVEL FACTORS China Myanmar India There are concrete goals policy makers can work towards to improve food security in Pakistan: • Pakistan performs worst in the farm-level rubric, therefore efforts to improve food security in Pakistan should focus on this rubric • Improving the agriculture sector should focus on maximizing arable land and preparing farmers to cope with climate change effects Pakistan Bangladesh Indonesia Taiwan Philippines Australia Japan New Zealand Vietnam Thailand South Korea Malaysia How Pakistan Compares COMPOSITE RBI SCORES 80 70 60 50 40 30 20 10 0 The figure above presents the Composite Index (across the four rubrics) results for all countries in 2016. The depiction clearly shows relative country performance and the point at which the threshold of system robustness is crossed. THRESHOLD COMPARISON New Zealand Pakistan Taiwan Myanmar Australia Bangladesh All countries with scores above the dotted line are above the threshold while those with scores under this line are below the threshold. For example, Vietnam and China are the last two countries to be above the threshold while Indonesia and the Philippines are the first two to be below. Japan India South Korea Philippines Indonesia Vietnam Malaysia Thailand China CROSSING THRESHOLDS A challenge in creating any index is to be able to provide meaningful performance comparisons. By establishing thresholds as a comparison tool, the RBI has defined the ‘desired’ threshold as one standard deviation below the average performance of the top quartile. This is relevant because top quartile performance exhibits considerable stability over time which is considered as essential for genuine robustness in a country’s food system. Using the top quartile as the baseline also makes the thresholds aspirational in nature, a performance mark that countries should strive to achieve. A standard deviation is a statistical value used to determine how spread out the data in a sample are, and how close individual data points are to the mean — or average — value of the sample. A standard deviation of a data set equal to zero indicates that all values in the set are the same. A larger value implies that the individual data points are farther from the mean value.