The Little Green Data Book 2016

The Little Green Data Book 2016 © 2016 International Bank for Reconstruction and Development / The World Bank 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org
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Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv
Foreword. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .v
Latin America and the Caribbean . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Middle East and North Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
North America . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
South Asia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Sub-Saharan Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Notes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230
Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237
iv 2016 The Little Green Data Book
The Little Green Data Book 2016 is based on World Development Indicators
2016 and its online database. Defining, gathering, and disseminating
international statistics is a collective effort of many people and organizations. The indicators presented in World Development Indicators are the fruit of decades of work at many levels, from the field workers who administer censuses and household surveys to the committees and working parties
of the national and international statistical agencies that develop the
nomenclature, classifications, and standards fundamental to the international statistical system. Nongovernmental organizations have also made important contributions. We are indebted to the World Development Indicators partners, as detailed in World Development Indicators 2016.
The Little Green Data Book 2016 is the result of close collaboration between the staff of the Development Data Group of the Development Economics Vice Presidency and the Environment and Natural Resources Global Practice. Mahyar Eshragh-Tabary, Sonu Jain, Haruna Kashiwase, Esther Naikal, William Prince, Christopher Sall, Jomo Tariku, and Junhe Yang contributed to its preparation. Azita Amjadi coordinated the production of the book. Barton Matheson Willse & Worthington typeset the book. The work was carried out under the direction of Haishan Fu and Paula Caballero. Jewel McFadden, Nora Ridolfi, and Janice Tuten from The World Bank’s Publishing and Knowledge Division oversaw publication and dissemination of the book.
Acknowledgments
vThe Little Green Data Book 2016
Foreword The Sustainable Development Goals (SDGs) came into force at the beginning of 2016. They build on the Millennium Development Goals (MDGs) and articulate a new global development agenda to eradicate poverty and shift the world onto a sustainable development path by 2030. The SDGs are comprehensive, including goals on poverty reduction, education, health, environment, and peaceful and inclusive societies. The 17 SDGs and their 169 targets are designed as a web of inter-relationships and dependencies, where progress toward one goal can enhance progress in others.
While only one of the MDGs was explicitly about environment (MDG7), the SDGs put the environment on par with economic and social concerns. The environment cuts across all the SDGs and is directly reflected in at least seven goals.
The Little Green Data Book provides about 50 indicators for more than 200 countries. Several of these indicators have the potential to measure progress on the SDGs. These indicators measure the use of resources and the way human activities affect both the natural and the built environment. They include measures of natural resources (forest, water, and cultivable land) as well as degradation (pollution, deforestation, loss of habitat, and loss of biodiversity).
Efficient use of natural resources
Implementing the SDGs requires an understanding of the interdependencies between the economy and environment, including the impact the economy has on the long-term health of natural systems.
For example, SDG 12 is about sustainable production and consumption patterns. Achieving sustainable economic growth and development requires that we urgently reduce our ecological footprint by changing the way we produce and consume goods and resources. One third of the world’s total energy is consumed by the food sector; but one third of all food that is produced is lost or wasted. The UN’s Food and Agriculture Organization (FAO) estimates that if even one quarter of this lost food could be saved, it would be enough to feed 870 million people and substantially reduce adverse environmental impacts.
Adjusted net savings (ANS), presented in the The Little Green Data Book, is an indicator of sustainability. It measures sustainability by expanding the conventional way we measure national savings to include natural resource depletion and degradation of the environment as well as investments in human capital. ANS is especially useful for countries that are heavily natural resource dependent and can help gauge whether they are balancing the depletion of their natural resources by investing rents in other forms of productive capital such as human capital (see Figure 1).
Monitoring degradation
Growing populations and expanding economies have placed greater demands on land, water, forests, minerals, and energy resources. Efforts to reduce
vi 2016 The Little Green Data Book
Foreword
poverty and promote sustainable economic growth are undermined by the degradation of soils, the increasing scarcity of freshwater, the overexploitation of coastal ecosystems and fisheries, the loss of forest cover, long-term changes in the Earth’s climate, and the loss of biological diversity (see Figure 2). People in extreme poverty—the roughly 700 million living on less than $1.90 a day in purchasing power parity terms in 2015— are disproportionately affected by these changes.
For example, poor air quality is one of the leading causes of death worldwide, claiming the lives of more than 5.5 million people in 2013. Starting in 2014, The Little Green Data Book included two new indicators on air pollution based on the latest improved methodology to measure exposure and health impacts.
Where possible, estimates of the indicators are drawn from international sources and have been standardized to facilitate comparisons across countries. With a new, broader set of goals, targets, and indicators, the data requirements are even greater. This calls for greater investments in national statistical systems and other relevant public institutions, where much of the data will originate.
Figure 1
–5
0
5
10
15
20
25
Low-income Middle-income
Adjusted net saving, a measure of sustainability
ANS takes into account investment in human capital, depreciation of fixed capital, depletion of natural resources, and pollution damage. Positive savings form the basis for building wealth and future growth. Savings rates below zero suggest declining wealth and unsustainable development. Over the past decade, the average ANS of low-income countries has hovered around or below zero. In contrast, the ANS of middle-income countries has been positive and steadily increasing over the past years.
viiThe Little Green Data Book 2016
Foreword
The Little Green Data Book is a result of close collaboration between the Development Data Group of the Development Economics Vice Presidency and the Environment and Natural Resources Global Practice. We welcome suggestions on how to improve our future editions.
Paula Caballero Haishan Fu Senior Director Director Environment and Natural Development Data Group Resources Global Practice
Figure 2
2016.
Dramatic loss of forest in two regions barely offset by gains elsewhere
Crucial to both the health of the planet and its diverse species and to the livelihoods of one fifth of the human population, forests contribute to long-term economic growth, social inclusion, and environmental stability. Despite many efforts to protect these areas, deforestation continues. Afforestation and reforestation efforts need to acceler- ate to ensure forest sustainability as defined in SDG target 15.2. While some regions have steadily increased their forest coverage, Latin America and the Caribbean and Sub-Saharan Africa have lost 97 million and 83 million hectares respectively over the past 25 years. More than 16 percent of Brazil’s original Amazonian forest has disap- peared with current rates of loss at 2 million hectares per year. Pres- sures on forests will continue with population growth, rapid urbaniza- tion, and demand for food, fiber, energy, and minerals.
–100 –75 –50 –25 0 25 50
Sub-Saharan Africa
South Asia
North America
viii 2016 The Little Green Data Book
The data in this book are for the most recent year available as noted in the glossary.
• Growth rates are calculated as annual averages and represented as percentages.
• Figures in italics indicate data for years or periods other than those specified in the glossary.
Symbols used:
.. indicates that data are not available or that aggregates cannot be calculated because of missing data.
0 or 0.0 indicates zero or small enough that the number would round to zero at the displayed number of decimal places.
$ indicates current U.S. dollars.
Lettered notes on country tables can be found in the Notes on page 230. Data are shown for economies with populations greater than 30,000 or for smaller economies if they are members of the World Bank. The term country
(used interchangeably with economy) does not imply political independence or official recognition by the World Bank but refers to any economy for which the authorities report separate social or economic statistics.
The selection of indicators in these pages includes some of those being used to monitor progress toward the Sustainable Development Goals. For more information about the 17 goals—ending poverty, protecting the planet, and ensuring prosperity for all by 2030—please see the other books and online resources in the World Development Indicators 2016 family of products.
The cutoff date for data is April 26, 2016.
Data notes
1The Little Green Data Book 2016
Regional tables The country composition of regions is based on the World Bank’s analytical regions for FY 16 and may differ from common geographic usage.
East Asia and Pacific American Samoa; Australia; Brunei Darussalam; Cambodia; China; Fiji; French Polynesia; Guam; Hong Kong SAR, China; Indonesia; Japan; Kiribati; Democratic People’s Republic of Korea; Republic of Korea; Lao People’s Democratic Republic; Macao SAR, China; Malaysia; Marshall Islands; Federated States of Micronesia; Mongolia; Myanmar; New Caledonia; New Zealand; Northern Mariana Islands; Palau; Papua New Guinea; Philippines; Samoa; Singapore; Solomon Islands; Thailand; Timor- Leste; Tonga; Tuvalu; Vanuatu; Vietnam
Europe and Central Asia Albania, Andorra, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Channel Islands, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France, Georgia, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Isle of Man, Italy, Kazakhstan, Kosovo, Kyrgyz Republic, Latvia, Liechtenstein, Lithuania, Luxembourg, former Yugoslav Republic of Macedonia, Moldova, Monaco, Montenegro, Netherlands, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Tajikistan, Turkey, Turkmenistan, Ukraine, United Kingdom, Uzbekistan
Latin America and the Caribbean Antigua and Barbuda, Argentina, Aruba, The Bahamas, Barbados, Belize, Bolivia, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Sint Marrten (Dutch part), St. Kitts and Nevis, St. Lucia, St. Martin (French part), St. Vincent and the Grenadines, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, República Bolivariana de Venezuela, Virgin Islands (U.S.)
Middle East and North Africa Algeria, Bahrain, Djibouti, Arab Republic of Egypt, Islamic Republic of Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Libya, Malta, Morocco, Oman, Qatar, Saudi Arabia, Syrian Arab Republic, Tunisia, United Arab Emirates, West Bank and Gaza, Republic of Yemen
North America Bermuda, Canada, United States
South Asia Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri Lanka
Sub-Saharan Africa Angola, Benin, Botswana, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Democratic Republic of Congo, Republic of Congo, Côte d’Ivoire, Equatorial Guinea, Eritrea, Ethiopia, Gabon, The Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, São Tomé and Príncipe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe
GNI per capita, World Bank Atlas method ($) Adjusted net national income per capita ($) Urban population (% of total) Agriculture Agricultural land (% land area) Agricultural irrigated land (% of total agricultural land) Agricultural productivity, value added per worker (2005 $) Cereal yield (kg per hectare) Forests and biodiversity Forest area (% land area) Deforestation (avg. annual %, 2000–15) Terrestrial protected areas (% of total land area) Threatened species, mammals Threatened species, birds Threatened species, fish Threatened species, higher plants Oceans Total fisheries production (thousand metric tons) Capture fisheries growth (avg. annual %, 2000–14) Aquaculture growth (avg. annual %, 2000–14) Marine protected areas (% of territorial waters) Coral reef area (sq. km) Mangroves area (sq. km) Energy and emissions Energy use per capita (kg oil equivalent) Energy from biomass products and waste (% of total) Electric power consumption per capita (kWh) Electricity generated using fossil fuel (% of total) Electricity generated by hydropower (% of total) CO2 emissions per capita (metric tons) Water and sanitation Internal freshwater resources per capita (cu. m) Total freshwater withdrawal (% of internal resources) Agriculture (% of total freshwater withdrawal) Access to improved water source (% of total population) Rural (% of rural population) Urban (% of urban population) Access to improved sanitation (% of total population) Rural (% of rural population) Urban (% of urban population) Environment and health PM2.5 pollution, mean annual exposure (µg/cu. m) PM2.5 exposure (% pop. exceeding WHO guideline level) Acute resp. infection prevalence (% of children under five) Diarrhea prevalence (% of children under five) Under-five mortality rate (per 1,000 live births) National accounting aggregates—savings, depletion and degradation Gross savings (% of GNI) Consumption of fixed capital (% of GNI) Education expenditure (% of GNI) Energy depletion (% of GNI) Mineral depletion (% of GNI) Net forest depletion (% of GNI) CO2 damage (% of GNI) Air pollution damage (% of GNI) Adjusted net savings (% of GNI)
10,799 8,971
32 87
12.7
2 2016 The Little Green Data Book
World Population (millions) 7,259.7 Land area (1,000 sq. km) 129,736 GDP ($ billions) 77,960.6
9,731 8,038
40 91
22.7
East Asia & Pacific Population (millions) 2,264.1 Land area (1,000 sq. km) 24,387 GDP ($ billions) 21,468.0
25,424 21,296
1,200 1,136
15 85
4.8 1.2 0.1 0.0 0.3 0.2 9.5
Europe & Central Asia Population (millions) 902.0 Land area (1,000 sq. km) 27,441 GDP ($ billions) 23,183.8
9,912 8,314
14 56
Latin America & Caribbean Population (millions) 626.3 Land area (1,000 sq. km) 20,042 GDP ($ billions) 6,253.5
8,722 6,541
4,782 2.1 9.8 3.8
32 100
16.3
Middle East & North Africa Population (millions) 417.5 Land area (1,000 sq. km) 11,236 GDP ($ billions) 3,520.1
54,879 46,170
100 100 100
North America Population (millions) 354.5 Land area (1,000 sq. km) 18,241 GDP ($ billions) 19,210.1
1,496 1,314
1.4
46 100
18.9
Population (millions) 1,721.2 Land area (1,000 sq. km) 4,772 GDP ($ billions) 2,588.7
South Asia
1,646 1,447
0.8
21 82
Population (millions) 974.3 Land area (1,000 sq. km) 23,618 GDP ($ billions) 1,745.2
Sub-Saharan Africa
For operational and analytical purposes the World Bank’s main criterion for classifying economies is gross national income (GNI) per capita. Each economy in The Little Data Book is classified as low income, lower middle income, upper middle income, or high income. Note: Classifications are fixed during the World Bank’s fiscal year (ending on June 30), thus countries remain in the categories in which they are classified irrespective of any revisions to their per capita income data.
Low-income economies are those with a GNI per capita of $1,045 or less in 2014.
Lower middle-income economies are those with a GNI per capita between $1,046 and $4,125.
Upper middle-income economies are those with a GNI per capita between $4,126 and $12,735.
High-income economies are those with a GNI per capita of $12,736 or more.
Income group tables
628 539 29.8
20 80
Population (millions) 622.0 Land area (1,000 sq. km) 13,366 GDP ($ billions) 397.8
Low income
2,018 1,752
58,647 3.1
12.4 5.5
127,030 69,507
1.5
36 93
17.2
Lower middle income Population (millions) 2,878.5 Land area (1,000 sq. km) 20,327 GDP ($ billions) 5,781.1
7,926 6,734
39 89
23.7
Upper middle income Population (millions) 2,360.8 Land area (1,000 sq. km) 40,947 GDP ($ billions) 18,958.1
38,301 31,318
15 73
4.7 1.0 0.2 0.0 0.3 0.1 8.4
High income Population (millions) 1,398.4 Land area (1,000 sq. km) 55,096 GDP ($ billions) 52,850.5
China
Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.
Cyprus
GNI and GDP data and data calculated using GNI and GDP refer to the area controlled by the government of Cyprus.
Georgia
GNI, GDP, and population data and data calculated using GNI, GDP, and population exclude Abkhazia and South Ossetia.
Kosovo, Montenegro, and Serbia
Data for each country are shown separately where available. However, some indicators for Serbia prior to 2006 include data for Montenegro; these data are noted in the tables. Moreover, data for most indicators for Serbia from 1999 onward exclude data for Kosovo, which in 1999 became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999). Kosovo became a member of the World Bank on June 29, 2009, and its data are shown where available.
Moldova
GNI, GDP, and population data and data calculated using GNI, GDP, and population exclude Transnistria.
Morocco
GNI and GDP data and data calculated using GNI and GDP include Former Spanish Sahara.
South Sudan and Sudan
South Sudan declared its independence on July 9, 2011. Data are shown separately for South Sudan where available. Data reported for Sudan exclude South Sudan unless otherwise noted.
Tanzania
GNI and GDP data and data calculated using GNI and GDP refer to mainland Tanzania only.
For more information, see World Development Indicators 2016 or data .worldbank.org.
Country tables
680 1,496 628 578 1,314 539 26.3 32.6 29.8
58 57 39 5.5 .. ..
389 714 315 2,021 3,066 1,601
2.1 17.5 27.5 0.0 –0.4 0.4 0.5 6.6 15.2 10 249 623 17 238 610
5 353 1,132 5 749 1,898
2.1 14,542 4,176 0.0 1.9 3.3 9.4 7.3 3.6 0.0 2.3 3.3
.. 15,440 12,570
.. 10,343 15,227
1,491 1,152 4,777 43.0 51.6 3.1
99 91 90 55 92 66 47 91 56 78 95 87 32 45 28 27 35 23 45 65 40
22 46 20 99 100 80
.. .. 6
–4.6 30.7 15.4 10.1 9.6 6.8
1.6 2.8 3.1 0.0 1.0 1.2 0.0 0.2 2.4 1.6 1.6 6.0 0.7 1.1 0.3 2.8 1.0 1.1
–18.3 18.9 0.5
Afghanistan Country
Low- income group
Population (millions) 31.6 Land area (1,000 sq. km) 653 GDP ($ billions) 20.0
4,450 25,424 7,926 3,804 21,296 6,734
56.4 70.7 61.8
28.2 38.0 28.8 0.0 –0.1 0.0 2.3 12.6 16.6
3 307 916 10 633 1,366 44 1,200 2,042
0 1,136 6,345
.. .. 49,900
.. .. 46,559
800 3,216 2,015 8.7 5.6 8.3
2,531 5,437 3,214 0.0 50.6 73.6
100.0 16.9 20.1 1.6 7.5 5.7
9,294 7,866 6,594 4.9 7.5 7.4 39 36 49 95 98 95 95 96 91 95 99 97 93 93 80 90 89 67 96 95 88
16 15 39 100 85 89
5 .. .. 5 .. ..
12.0 21.9 37.3 11.8 15.4 12.2
2.8 4.8 3.0 3.5 1.2 2.3 0.3 0.1 0.8 0.1 0.0 0.1 0.4 0.3 0.9 0.3 0.2 0.3
–1.6 9.5 23.7
Albania Country
Upper middle- income group
5,490 8,722 7,926 4,223 6,541 6,734
70.1 63.7 61.8
4,470 3,893 1,197 1,378 2,330 4,393
0.8 2.1 28.8 –1.6 –0.9 0.0 7.9 11.7 16.6 13 203 916 14 279 1,366 40 575 2,042 18 259 6,345
100 4,782 93,147 –1.0 2.1 –1.1 14.8 9.8 5.4
1.2 3.8 8.8 .. 15,470 49,900 .. 513 46,559
1,246 2,190 2,015 0.0 0.6 8.3
1,277 2,876 3,214 99.4 89.7 73.6
0.6 3.1 20.1 3.3 6.0 5.7
289 554 6,594 74.9 133.6 7.4
59 85 49 84 93 95 82 89 91 84 96 97 88 91 80 82 87 67 90 93 88
19 32 39 100 100 89
.. .. ..
44.5 37.7 37.3 6.6 11.4 12.2 4.5 4.1 3.0
14.2 9.5 2.3 0.0 0.1 0.8 0.4 0.2 0.1 0.7 0.6 0.9 0.1 0.2 0.3
26.9 16.3 23.7
Algeria Country
.. 9,731 7,926
25 48 45 .. .. .. .. 922 1,197 .. 4,947 4,393
90.0 26.3 28.8 0.0 –0.2 0.0
12.6 15.6 16.6 1 891 916 8 1,095 1,366
11 1,430 2,042 1 3,453 6,345
2.6 130,639 93,147 8.3 1.3 –1.1
10.4 6.6 5.4 17.3 17.0 8.8 220 203,050 49,900 0.52 67,121 46,559
.. 2,073 2,015
.. 7.8 8.3
.. 3,568 3,214
.. 77.7 73.6
.. 13.8 20.1
.. 5.9 5.7
.. 4,525 6,594
.. 10.8 7.4
.. 72 49 100 94 95 100 90 91 100 97 97
63 77 80 63 64 67 63 87 88
.. 40 39
.. 91 89
American Samoa Country
Population (thousands) 55 Land area (sq. km) 200 GDP ($ millions) ..
43,270 25,424 38,301 .. 21,296 31,318
85.6 70.7 80.7
34.0 38.0 34.5 0.0 –0.1 0.0
19.5 12.6 14.6 2 307 613 2 633 1,070 0 1,200 2,311 0 1,136 2,424
.. 17,916 39,529
.. –1.2 –1.2
.. .. 84,380
.. .. 19,106
4,336 7,866 11,319 .. 7.5 7.1 .. 36 43
100 98 99 100 96 97 100 99 99 100 93 96 100 89 93 100 95 97
10 15 15 34 85 73
.. .. ..
2.4 4.8 4.7 0.0 1.2 1.0 0.0 0.1 0.2
.. 0.0 0.0 0.2 0.3 0.3
.. 0.2 0.1
.. 9.5 8.4
Andorra Country
High- income group
Population (thousands) 73 Land area (sq. km) 470 GDP ($ billions) 3.2
.. 1,646 7,926 3,676 1,447 6,734
43.3 37.2 61.8
889 1,476 4,393
46.4 27.7 28.8 0.2 0.5 0.0 7.0 15.3 16.6 17 891 916 26 876 1,366 50 1,996 2,042 34 3,645 6,345
442 7,242 93,147 4.5 1.8 –1.1
34.1 17.9 5.4 0.1 6.1 8.8
.. 17,980 49,900 312 28,061 46,559
655 671 2,015 56.3 58.5 8.3 227 488 3,214 29.1 65.1 73.6 70.9 20.5 20.1
1.4 0.8 5.7
6,109 3,987 6,594 0.5 3.0 7.4 21 81 49 49 68 95 28 56 91 75 87 97 52 30 80 23 23 67 89 40 88
14 21 39 90 82 89
.. 5 ..
31.8 18.8 37.3 8.4 8.0 12.2 3.6 3.2 3.0
24.2 3.8 2.3 0.0 1.4 0.8 0.3 1.9 0.1 0.3 0.5 0.9 0.9 0.9 0.3 3.0 5.5 23.7
Angola Country
Sub- Saharan Africa group
13,300 9,912 38,301 .. 8,314 31,318
24.2 79.6 80.7
20 38 30 .. .. ..
22.7 46.3 34.5 0.0 0.4 0.0 5.5 23.3 14.6
2 640 613 1 1,010 1,070
29 1,527 2,311 4 5,008 2,424
3.1 13,956 39,529 4.3 –4.1 –1.2
.. 8.7 2.7 1.4 15.5 19.3
240 20,320 84,380 8.4 41,330 19,106
.. 1,373 4,656
.. 16.2 4.6
.. 2,118 8,508
.. 42.3 60.8
572 22,162 11,319 22.1 2.4 7.1
16 72 43 98 95 99 98 84 97 98 97 99 91 83 96 91 64 93 91 88 97
16 14 15 100 56 73
.. .. ..
2.3 4.9 4.7 0.0 2.6 1.0 0.0 1.0 0.2
.. 0.3 0.0 0.5 0.3 0.3
.. 0.2 0.1
.. 7.7 8.4
Antigua and Barbuda Country
High- income group
13,480 9,912 38,301 10,779 8,314 31,318
91.6 79.6 80.7
13,198 4,755 19,157 4,555 4,127 5,020
9.9 46.3 34.5 1.0 0.4 0.0 6.8 23.3 14.6 40 640 613 50 1,010 1,070 39 1,527 2,311 70 5,008 2,424
834 13,956 39,529 –0.7 –4.1 –1.2 6.0 8.7 2.7 8.9 15.5 19.3
.. 20,320 84,380
.. 41,330 19,106
3,093 2,118 8,508 71.1 42.3 60.8 22.3 46.5 13.1
4.6 2.9 11.1
6,794 22,162 11,319 12.9 2.4 7.1
74 72 43 99 95 99
100 84 97 99 97 99 96 83 96 98 64 93 96 88 97
9 14 15 35 56 73
.. .. ..
.. .. .. 13 18 7
18.0 18.3 21.6 9.2 11.1 16.3 4.5 4.9 4.7 2.4 2.6 1.0 0.3 1.0 0.2 0.1 0.3 0.0 0.4 0.3 0.3 0.1 0.2 0.1
10.1 7.7 8.4
Argentina Country
High- income group
4,020 25,424 2,018 3,494 21,296 1,752
62.8 70.7 38.5
71 1,136 3,981
0.0 13.0 5.5 .. .. 127,030 .. .. 69,507
969 3,216 636 0.3 5.6 28.2
1,870 5,437 743 41.2 50.6 73.1 28.2 16.9 16.8
1.7 7.5 1.5
2,282 7,866 3,065 42.9 7.5 17.9
39 36 88 100 98 90 100 96 87 100 99 94
90 93 52 78 89 42 96 95 67
18 15 36 98 85 93
5 .. .. 9 .. ..
13.2 21.9 28.0 12.1 15.4 8.4
2.1 4.8 3.0 0.0 1.2 2.1 1.6 0.1 0.6 0.2 0.0 1.0 0.5 0.3 0.9 0.5 0.2 0.8 0.4 9.5 17.2
Armenia Country
Lower middle- income group
.. 9,912 38,301
11 38 30 .. .. .. .. 4,755 19,157 .. 4,127 5,020
2.3 46.3 34.5 0.0 0.4 0.0 0.5 23.3 14.6
2 640 613 1 1,010 1,070
23 1,527 2,311 2 5,008 2,424
0.14 13,956 39,529 –1.0 –4.1 –1.2
.. 8.7 2.7 0.0 15.5 19.3
<50 20,320 84,380 0.71 41,330 19,106
.. 1,373 4,656
.. 16.2 4.6
.. 2,118 8,508
.. 42.3 60.8
.. 22,162 11,319
.. 2.4 7.1
.. 72 43 98 95 99 98 84 97 98 97 99 98 83 96 98 64 93 98 88 97
.. 14 15
.. 56 73
Aruba Country
High- income group
64,600 9,731 38,301 47,745 8,038 31,318
89.3 55.7 80.7
14.6 15.6 14.6 56 891 613 50 1,095 1,070
111 1,430 2,311 92 3,453 2,424
229 130,639 39,529 –2.1 1.3 –1.2 6.3 6.6 2.7
48.5 17.0 19.3 48,960 203,050 84,380
9,910 67,121 19,106
20,963 4,525 11,319 4.0 10.8 7.1 66 72 43
100 94 99 100 90 97 100 97 99 100 77 96 100 64 93 100 87 97
6 40 15 0 91 73 .. .. .. .. .. .. 4 17 7
24.6 37.9 21.6 17.5 15.3 16.3
5.1 2.8 4.7 0.9 1.0 1.0 2.4 0.7 0.2 0.0 0.1 0.0 0.3 0.8 0.3 0.0 0.3 0.1 8.5 22.7 8.4
Australia Country
High- income group
Population (millions) 23.5 Land area (1,000 sq. km) 7,682 GDP ($ billions) 1,454.7
49,600 25,424 38,301 41,559 21,296 31,318
65.9 70.7 80.7
46.9 38.0 34.5 –0.1 –0.1 0.0 28.4 12.6 14.6
3 307 613 12 633 1,070 11 1,200 2,311 21 1,136 2,424
3.7 17,916 39,529 –1.6 –1.2 –1.2 1.3 2.9 2.7 0.0 13.0 19.3
.. .. 84,380
.. .. 19,106
8,513 5,437 8,508 20.8 50.6 60.8 65.0 16.9 13.1
7.8 7.5 11.1
6,436 7,866 11,319 6.6 7.5 7.1
3 36 43 100 98 99 100 96 97 100 99 99 100 93 96 100 89 93 100 95 97
15 15 15 88 85 73
.. .. ..
25.0 21.9 21.6 18.1 15.4 16.3
5.2 4.8 4.7 0.1 1.2 1.0 0.0 0.1 0.2 0.0 0.0 0.0 0.2 0.3 0.3 0.1 0.2 0.1
11.8 9.5 8.4
Austria Country
High- income group
7,600 25,424 7,926 5,735 21,296 6,734
54.4 70.7 61.8
13.8 38.0 28.8 –2.0 –0.1 0.0 14.0 12.6 16.6
6 307 916 18 633 1,366 12 1,200 2,042 42 1,136 6,345
1.2 17,916 93,147 –19.7 –1.2 –1.1
5.7 2.9 5.4 0.0 13.0 8.8
.. .. 49,900
.. .. 46,559
1,474 3,216 2,015 1.1 5.6 8.3
2,093 5,437 3,214 93.0 50.6 73.6
6.4 16.9 20.1 3.6 7.5 5.7
851 7,866 6,594 147.5 7.5 7.4
84 36 49 87 98 95 78 96 91 95 99 97 89 93 80 87 89 67 92 95 88
21 15 39 100 85 89
.. .. ..
40.7 21.9 37.3 5.1 15.4 12.2 2.6 4.8 3.0
19.6 1.2 2.3 0.1 0.1 0.8 0.0 0.0 0.1 0.5 0.3 0.9 0.2 0.2 0.3
17.8 9.5 23.7
Azerbaijan Country
20,980 9,912 38,301 19,438 8,314 31,318
82.8 79.6 80.7
1 38 30 .. .. ..
13.3 23.3 14.6 6 640 613 7 1,010 1,070
44 1,527 2,311 8 5,008 2,424
11.9 13,956 39,529 –1.9 –4.1 –1.2
.. 8.7 2.7 0.4 15.5 19.3
3,150 20,320 84,380 875 41,330 19,106
.. 1,373 4,656
.. 16.2 4.6
.. 2,118 8,508
.. 42.3 60.8
1,827 22,162 11,319 .. 2.4 7.1 .. 72 43
98 95 99 98 84 97 98 97 99 92 83 96 92 64 93 92 88 97
11 14 15 85 56 73
.. .. ..
.. .. .. 12 18 7
6.7 18.3 21.6 7.7 11.1 16.3 3.8 4.9 4.7 0.0 2.6 1.0 0.0 1.0 0.2 0.1 0.3 0.0 0.3 0.3 0.3 0.2 0.2 0.1 2.3 7.7 8.4
Bahamas, The Country
High- income group
Population (thousands) 383 Land area (1,000 sq. km) 10 GDP ($ billions) 8.5
GNI per capita, World Bank Atlas method ($) Adjusted net national income per capita ($) Urban population (% of total) Agriculture Agricultural land (% land area) Agricultural irrigated land (% of total agricultural land) Agricultural productivity, value added per worker (2005 $) Cereal yield (kg per hectare) Forests and biodiversity Forest area (% land area) Deforestation (avg. annual %, 2000–15) Terrestrial protected areas (% of total land area) Threatened species, mammals Threatened species, birds Threatened species, fish Threatened species, higher plants Oceans Total fisheries production (thousand metric tons) Capture fisheries growth (avg. annual %, 2000–14) Aquaculture growth (avg. annual %, 2000–14) Marine protected areas (% of territorial waters) Coral reef area (sq. km) Mangroves area (sq. km) Energy and emissions Energy use per capita (kg oil equivalent) Energy from biomass products and waste (% of total) Electric power consumption per capita (kWh) Elec

The Little Green Data Book 2016

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Transcript of The Little Green Data Book 2016