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Table 2 Urban Population at Risk of Coastal Flooding by Region, 2000 Total Urban Share of Region Urban Population Population Total Urban Population at Risk at Risk Land Area (million) (million) (%) ('000 km2 Urban Land Area at Risk ) ('000 km2 Share of Land Area at ) Risk (%) Africa 280 32 11 310 18 6 Asia 1,390 251 18 1,167 129 11 Latin America 312 24 8 663 42 6 Europe 571 40 7 800 56 7 km 2 = square kilometers Source: ADB estimates based on McGranahan et al. (2007). Box 2 Estimating Risks of Inland and Coastal Flooding Coastal flooding risks are determined by the number of persons (or land area) within a low-elevation coastal zone (LECZ) rather than historic or projected data on actual coastal flood events. The LECZ is defined as land area contiguous with the coastline up to a 10-meter rise elevation. While sea level rise is not expected to reach 10 meters above the current mid-tide elevations, Asia has experienced two devastating tsunamis in the last 10 years. Meanwhile, sea level rise and storm surges can certainly cause damage to people living well above the high-water level, through saline intrusion into the groundwater, for example. However, the principal reason for choosing this elevation is that estimates based on elevations below 10 meters could not be considered globally reliable, particularly in some types of coastal areas, such as those characterized by mountainous bays. Exposure to inland flooding is estimated from the global flood frequency dataset developed for the 2009 Global Assessment Report on Risk Reduction (GAR) (UNISDR 2009). In contrast to the LECZ estimates, the GAR data are based on actual flood frequency events. Modeling is used to fill in missing data and to transform the extents of flood events into a single gridded data format. The flood risk is measured by the extent of exposure of land or persons to flooding at least two times within a 100-year period. Both the LECZ and GAR data are then overlayed with the Global Rural–Urban Mapping Project (GRUMP) data to estimate population (as well as land area) within each urban area at risk of flooding. Sources: Balk and Montgomery (2012), McGranahan et al. (2007). 15 Special Chapter
16 Table 3 Population and Area at Risk of Coastal Flooding, 2000 Economy Urban Population at Flood risk % Population at Flood Risk Urban Land Area (km 2 ) at Flood Risk % Urban Land Area at Flood Risk Central and West Asia Georgia 230,982 7.5 159 4.9 Pakistan 2,227,119 4.6 364 1.5 Subtotal 2,458,101 4.8 523 1.9 East Asia China, People's Rep. of 78,277,824 18.5 33,243 13.4 Hong Kong, China 811,925 14.1 104 14.2 Korea, Rep. of 2,034,832 5.3 1,369 7.4 Taipei,China 3,022,216 21.4 2,604 21.3 Subtotal 84,146,796 17.5 37,320 13.4 South Asia Bangladesh 15,428,668 50.3 4,522 45.9 India 31,515,286 10.5 11,441 5.9 Maldives 6,421 100.0 3 100.0 Sri Lanka 961,977 22.8 744 22.5 Subtotal 47,912,352 14.3 16,710 8.1 Southeast Asia Brunei Darussalam 24,965 11.2 256 24.2 Cambodia 281,944 15.0 137 21.3 Indonesia 22,720,666 27.9 8,176 26.4 Malaysia 3,687,052 26.5 3,775 28.1 Myanmar 4,512,823 36.2 1,087 24.2 Philippines 6,807,578 27.4 1,872 22.8 Singapore 550,057 14.0 62 12.0 Thailand 12,471,874 60.0 9,207 34.8 Viet Nam 12,862,429 73.9 3,877 66.4 Subtotal 63,919,387 36.1 28,448 31.1 The Pacific Timor-Leste 1,369 4.2 7 5.3 Developed Member Economy Japan 29,022,184 25.7 17322.81 17.5 Asia 227,460,189 19.6 100,332 14.3 km 2 = square kilometers Note: Global Rural-Urban Mapping Project (GRUMP) estimates for urban population and urban areas are used in the computation of percentages of population and area at risk (http://sedac.ciesin.columbia.edu/gpw). Source: Balk and Montgomery (2012). Table 4 Population and Area at Risk of Inland Flooding, 2000 Economy Urban Population at Flood Risk % Population at Flood Risk Urban Land Area (km 2 ) at Flood Risk % Urban Land Area at Flood Risk Central and West Asia Afghanistan 540,078 12.5 430 23.8 Armenia 198,941 7.4 192 12.9 Azerbaijan 254,474 6.0 526 9.1 Georgia 319,048 10.4 369 11.4 Kazakhstan 860,190 9.8 1,561 13.9 Kyrgyz Republic 189,534 12.2 367 12.6 Pakistan 3,092,548 6.4 2,230 9.0 Tajikistan 286,229 16.4 408 11.6 Turmenistan 64,777 3.2 620 11.1 Uzbekistan 813,736 8.5 1,615 10.9 Subtotal 6,619,555 7.7 8,318 11.1 East Asia China, People's Rep. of 90,700,145 21.4 45,610 18.4 Korea, Rep. of 2,920,496 7.6 1,010 5.5 Mongolia 176,968 12.2 190 16.5 Taipei,China 890,354 6.3 668 5.5 Subtotal 94,510,996 19.8 47,288 17.0 South Asia Bangladesh 10,954,609 35.7 3,721 37.8 Bhutan 21,504 14.5 30 15.5 India 36,056,326 12.0 25,564 13.3 Nepal 160,508 5.9 214 8.5 Sri Lanka 792,244 18.8 442 13.4 Subtotal 47,985,191 14.2 29,971 14.4 Southeast Asia Brunei Darussalam 1,634 0.7 14 1.3 Cambodia 1,428,121 76.0 641 100.0 Indonesia 4,394,972 5.4 2,417 7.8 Lao PDR 302,825 34.0 276 26.1 Malaysia 495,254 3.6 749 5.6 Myanmar 2,361,353 19.0 1,050 23.4 Philippines 3,713,398 14.9 968 11.8 Thailand 6,070,291 29.2 7,002 26.5 Viet Nam 6,716,973 38.6 1,893 32.4 Subtotal 25,484,820 14.7 15,010 16.3 The Pacific Timor-Leste 869 2.7 6 4.6 Developed Member Economy Japan 4,705,880 4.2 5,016 5.1 Asia 179,307,311 15.1 105,610 14.0 km 2 = square kilometers, Lao PDR = Lao People's Democratic Republic Note: Global Rural-Urban Mapping Project (GRUMP) estimates for urban population and urban areas are used in the computation of percentages of population and area at risk (http://sedac.ciesin.columbia.edu/gpw). Source: Balk and Montgomery (2012).
Page 1: KEY INDICATORS for Asia and the Pac
Page 4: Foreword The 43 rd Dev
Page 8 and 9: Contents Foreword .................
Page 10 and 11: Contents Box 3 The Environmental Ku
Page 12 and 13: Contents Figure 7.3 Percentage Chan
Page 14 and 15: Contents .........................
Page 16 and 17: Contents .....................
Page 18 and 19: Georgia Ministry of Finance of Geor
Page 20 and 21: Ministry of Finance Tha
Page 22 and 23: Guide for Users The Part II com
Page 24 and 25: Key Symbols - Magnitude equals ze
Page 26: GPI gender parity index GRUMP Globa
Page 29 and 30: disease. Green policies need to be
Page 31 and 32: Part II: Millennium Development Goa
Page 33 and 34: from 15.6 tons in 1990 to 7.0 tons
Page 35 and 36: economies in Asia and have large la
Page 38 and 39: F
Page 40 and 41: Increase in Urban Population (milli
Page 42 and 43: Lagos Paris Istanbul Cairo Figure 6
Page 44 and 45: Figure 7 Population Share of Larges
Page 46 and 47: Theft (rate per 100,000 population)
Page 48 and 49: CO 2 emissions (kt) 8,000,000 7,000
Page 52 and 53: Table 5 Top 40 Asian Cities (>1 mil
Page 54 and 55: Population at risk (million) Popula
Page 56 and 57: 0 10 20 30 CO 2 emissions (t/capita
Page 58 and 59: Table 8 United States Imports of Hi
Page 60 and 61: Fertility rates (total, births/woma
Page 62 and 63: Models for Table 11 The Environment
Page 64 and 65: 10 Congestion pricing is the practi
Page 66 and 67: Table 12 Water Pricing Blocks Per 1
Page 68 and 69: 33 Special Chapter
Page 72 and 73: A smart grid system can control the
Page 74 and 75: Kampung Code River is an informal s
Page 82: PART II Millennium Development Goal
Page 85 and 86: 50 Box 1 Millennium Development Go
Page 87 and 88: 52 Table 2. Millennium Development
Page 89 and 90: 54 Goal 1: Eradicate Extreme Povert
Page 91 and 92: 56
Page 93 and 94: 58 Figure 1.7 Employment-to-Popula
Page 95 and 96: Figure 1.11 Prevalence of Underweig
Page 97 and 98: Goal 1 Targets and Indicators Table
Page 99 and 100: 64 Goal 1 Targets and Indicators T
Page 101 and 102:
66 Figure 2.1 Total Net Enrolment
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68
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70 Goal 2 Target and Indicators Ta
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72 Goal 3: Promote Gender Equality
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74
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76 Goal 3 Targets and Indicators T
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78 Goal 4: Reduce Child Mortality S
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Afghanistan Papua New Guinea Turkme
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Goal 4 Target and Indicators Table
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84 Lao PDR Afghanistan Timor-Leste
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86 birth weights for the child. Th
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92
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94 Figure 6.5 Death Rates Asssocia
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100 Source: Table 7.1. Figure 7.1
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102 from their 1990 levels. Except
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104 the gap between rura
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106 Goal 7 Targets and Indicators
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112 Goal 8: Develop a Global Partne
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140,000 120,000 100,000 80,000 60,0
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Data Issues and Comparability
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Page 155 and 156:
Goal 8 Targets and Indicators Table
Page 158 and 159:
Introduction to the Regional Trends
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People Snapshots In 2011, 3.9 bill
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Box 1.1 Population Projections, 201
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100 90 80 70 60 50 40 30 20 10 0 Fi
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human development, have higher annu
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Box 1.3 Population Census in Asia a
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Table 1.2 Growth Rates in Populatio
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Table 1.4 Population Aged 0-14 Year
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Table 1.6 Population Aged 65 Years
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Table 1.8 Labor Force Participation
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Table 1.10 Unemployment Rate of 15-
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Table 1.12 Employment in Industry a
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Table 1.14 Poverty and Inequality
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Table 1.16 Life Expectancy at Birth
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Table 1.18 Primary Education Comple
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Table 1.20 Education Resources …
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Table 1.22 Estimated Number of Adul
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2011 India, dislodged Japan as the
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Figure 2.5 Highest Average Growth R
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and the latest year where data are
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Table 2.1 Gross Domestic Product at
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Table 2.3 GNI Per Capita, Atlas Met
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Table 2.5 Industry Value Added (% o
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Table 2.7 Private Consumption Expen
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Table 2.9 Gross Domestic Capital Fo
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Table 2.11 Imports of Goods and Ser
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Table 2.13 Growth Rates of Real GDP
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Table 2.15 Growth Rates of Agricult
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Table 2.17 Growth Rates of Services
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Table 2.19 Growth Rates of Real Gov
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Table 2.21 Growth Rates of Real Exp
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Table 2.23 Growth Rates of Agricult
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Money, Finance, and Prices Snapshot
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loans, which suggests the banks in
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Figure 3.6 All Items and Food Price
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Table 3.1 Growth Rates of Consumer
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Table 3.3 Growth Rates of Wholesale
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Table 3.5 Growth Rates of Money Sup
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Table 3.7 Interest Rate on Savings
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Table 3.9 Lending Interest Rate (%
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Table 3.11 Domestic Credit Provided
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Table 3.13 Growth Rates of Stock Ma
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Table 3.15 Stock Market Capitalizat
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Table 3.17 Purchasing Power Parity
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Globalization Snapshots Trade rema
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to some economies
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Data Issues and Comparability
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Table 4.2 Trade in Services Balance
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Table 4.4 Workers’ Remittances an
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Table 4.6 Foreign Direct Investment
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Table 4.8 Merchandise Exports ($ mi
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Table 4.10 Merchandise Imports ($ m
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Table 4.12 Trade in Goods a (% of G
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Table 4.14 Direction of Trade: Merc
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Table 4.16 Ratio of International R
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Table 4.18 Net Private Flows a from
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Table 4.20 Total External Debt of D
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Table 4.22 Total External Debt of D
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Table 4.24 Total Debt Service Paid
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Table 4.26 International Tourism, R
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Azerbaijan Pakistan Georgia Armenia
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Contrary to the general trend of in
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Table 5.1 Road Indicators: Network
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Table 5.3 Road Indicators: Safety
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Table 5.5 Electricity Production an
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Table 5.7 Telephone and Internet Su
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net importers. 1 Kong, China
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Figure 6.4 Per Capita Emissions of
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Table 6.2 Energy Production (kiloto
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Table 6.4 Energy Use (kilotons of o
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Table 6.6 Deforestation and Polluti
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Government and Governance Snapshots
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the smallest share of their spendin
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Figure 7.7 Time and Cost Required t
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Table 7.1 Fiscal Balance a (% of GD
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Table 7.3 Total Government Revenue
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Table 7.5 Government Expenditure on
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Table 7.7 Government Expenditure on
Page 314:
Table 7.9 Corruption Perceptions In
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Development Indicators Reference Ma
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Goals and Targets Indicators for Mo
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Page 326 and 327:
Page 328 and 329:
Regional Trends and Tables Indicato
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Indicator Definition Measures obtai
Page 332 and 333:
Indicator Definition Ratio of Bank
Page 334 and 335:
Indicator Definition The receipts e
Page 336 and 337:
Indicator Definition Governance Cos
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