Annual CO₂ Emissions Growth (abs) 1985
Annual CO₂ emissions growth measures the increase in carbon output. Compare countries, explore trends, and view interactive maps.
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Complete Data Rankings
Rank | ||
|---|---|---|
1 | Russia | 170,953,980 |
2 | China | 152,980,600 |
3 | Ukraine | 54,358,336 |
4 | India | 36,032,320 |
5 | United Kingdom | 30,537,408 |
6 | Kazakhstan | 18,486,992 |
7 | Saudi Arabia | 16,903,616 |
8 | United States | 15,998,976 |
9 | Brazil | 12,540,592 |
10 | Poland | 12,036,960 |
11 | Germany | 10,895,360 |
12 | Turkey | 10,784,528 |
13 | Mexico | 10,690,016 |
14 | Iran | 10,085,264 |
15 | North Korea | 9,630,400 |
16 | Denmark | 9,199,852 |
17 | Indonesia | 9,128,280 |
18 | South Africa | 8,268,352 |
19 | South Korea | 8,057,232 |
20 | Venezuela | 8,036,152 |
21 | Belarus | 7,725,744 |
22 | Finland | 7,401,864 |
23 | Uzbekistan | 7,175,640 |
24 | Australia | 7,042,848 |
25 | Romania | 5,125,808 |
26 | Sweden | 5,055,920 |
27 | Iraq | 4,458,772 |
28 | Italy | 4,381,312 |
29 | Pakistan | 4,256,216 |
30 | Azerbaijan | 3,714,744 |
31 | Vietnam | 3,602,258 |
32 | United Arab Emirates | 3,521,900 |
33 | Greece | 3,486,996 |
34 | Trinidad and Tobago | 3,218,808 |
35 | Lithuania | 2,910,416 |
36 | Netherlands | 2,907,136 |
37 | Republic of Moldova | 2,879,352 |
38 | Estonia | 2,832,680 |
39 | Libya | 2,725,966 |
40 | Thailand | 2,710,520 |
41 | Mongolia | 2,573,240 |
42 | New Zealand | 2,521,340 |
43 | Turkmenistan | 2,349,134 |
44 | Spain | 2,235,104 |
45 | Bulgaria | 2,176,408 |
46 | Curaçao | 2,042,118 |
47 | Latvia | 1,867,264 |
48 | Côte d'Ivoire | 1,850,320 |
49 | Kyrgyzstan | 1,583,690 |
50 | Algeria | 1,570,768 |
51 | Malaysia | 1,535,336 |
52 | Yemen | 1,482,490 |
53 | Ireland | 1,196,690 |
54 | Israel | 1,114,532 |
55 | Bangladesh | 1,112,001 |
56 | Serbia | 1,078,652 |
57 | Lebanon | 1,051,751 |
58 | Georgia | 1,037,724 |
59 | Bahrain | 985,616 |
60 | Tajikistan | 922,456 |
61 | Kuwait | 790,190 |
62 | Afghanistan | 679,882 |
63 | Ghana | 678,002 |
64 | Brunei Darussalam | 677,840 |
65 | China, Hong Kong SAR | 656,618 |
66 | Switzerland | 650,624 |
67 | Armenia | 615,638 |
68 | Oman | 592,088.5 |
69 | Sudan | 520,336 |
70 | Tunisia | 510,355 |
71 | Singapore | 428,534 |
72 | Cameroon | 417,696 |
73 | Croatia | 410,368 |
74 | El Salvador | 376,661 |
75 | Bosnia and Herzegovina | 376,196 |
76 | Zimbabwe | 334,070 |
77 | Gabon | 319,081 |
78 | Botswana | 313,584 |
79 | Slovenia | 308,404 |
80 | Costa Rica | 261,279 |
81 | New Caledonia | 248,802 |
82 | Benin | 238,077 |
83 | Luxembourg | 232,685 |
84 | Sint Maarten (Dutch part) | 227,298 |
85 | North Macedonia | 227,021 |
86 | Nigeria | 223,480 |
87 | Madagascar | 186,659 |
88 | Jordan | 184,462.5 |
89 | Austria | 155,936 |
90 | Ethiopia | 148,429 |
91 | Egypt | 144,724 |
92 | Somalia | 142,896 |
93 | Nicaragua | 138,759 |
94 | Aruba | 136,390 |
95 | Congo | 135,720 |
96 | French Polynesia | 128,240 |
97 | China, Macao SAR | 128,240 |
98 | Myanmar | 126,969 |
99 | Eswatini | 106,256 |
100 | Antigua and Barbuda | 102,592 |
101 | Barbados | 98,716 |
102 | Guatemala | 95,156 |
103 | Bolivia | 81,993.5 |
104 | Mauritius | 80,608 |
105 | Papua New Guinea | 80,608 |
106 | Qatar | 75,023 |
107 | Vanuatu | 65,952 |
108 | Paraguay | 58,553 |
109 | Sri Lanka | 57,592 |
110 | Albania | 55,637 |
111 | Seychelles | 51,296 |
112 | Sierra Leone | 47,632 |
113 | South Sudan | 45,721 |
114 | Suriname | 43,889 |
115 | Montenegro | 41,899 |
116 | Bonaire, Sint Eustatius and Saba | 38,082 |
117 | Morocco | 36,542 |
118 | Uganda | 36,492 |
119 | Liechtenstein | 33,780 |
120 | Haiti | 26,095 |
121 | Laos | 21,984 |
122 | Liberia | 20,652 |
123 | Belize | 18,320 |
124 | Faroe Islands | 18,319.969 |
125 | Saint Lucia | 14,656.008 |
126 | Guinea | 14,656 |
127 | Guyana | 14,656 |
128 | Bhutan | 11,000 |
129 | Burkina Faso | 10,992 |
130 | Burundi | 10,992 |
131 | Central African Republic | 10,992 |
132 | Guinea-Bissau | 10,992 |
133 | Bermuda | 7,328 |
134 | British Virgin Islands | 7,328 |
135 | Cambodia | 7,328 |
136 | Djibouti | 7,328 |
137 | Maldives | 7,328 |
138 | Samoa | 7,328 |
139 | Solomon Islands | 7,328 |
140 | Dominica | 3,664 |
141 | Montserrat | 3,664 |
142 | Palau | 3,664 |
143 | Sao Tome and Principe | 3,664 |
144 | Niger | 3,212 |
145 | Malawi | 128 |
146 | Cabo Verde | 0 |
147 | Comoros | 0 |
148 | Cook Islands | 0 |
149 | Gambia | 0 |
150 | Grenada | 0 |
151 | Kiribati | 0 |
152 | Nauru | 0 |
153 | Niue | 0 |
154 | Saint Helena | 0 |
155 | Saint Kitts and Nevis | 0 |
156 | Saint Vincent and the Grenadines | 0 |
157 | Tonga | 0 |
158 | Saint Pierre and Miquelon | -3,664 |
159 | Fiji | -4,218 |
160 | Tanzania | -9,083 |
161 | Equatorial Guinea | -14,656 |
162 | Rwanda | -18,320 |
163 | Cuba | -24,826 |
164 | Nepal | -25,406 |
165 | Mali | -29,435 |
166 | Togo | -35,550 |
167 | Chad | -36,640 |
168 | Greenland | -58,624 |
169 | Honduras | -71,658 |
170 | Zambia | -71,709 |
171 | Cyprus | -89,563 |
172 | Jamaica | -98,858 |
173 | Panama | -140,896 |
174 | Dominican Republic | -148,845 |
175 | Uruguay | -154,103 |
176 | Malta | -164,880 |
177 | Iceland | -187,111 |
178 | Mauritania | -216,176 |
179 | Angola | -309,733 |
180 | Congo, Democratic Republic of the | -319,732 |
181 | Bahamas | -344,416 |
182 | Mozambique | -375,919 |
183 | Kenya | -545,376 |
184 | Colombia | -621,056 |
185 | Senegal | -633,664 |
186 | Chile | -712,432 |
187 | Slovakia | -806,668 |
188 | Belgium | -958,392 |
189 | Taiwan | -1,157,112 |
190 | Peru | -1,177,828 |
191 | Norway | -1,524,650 |
192 | Portugal | -1,660,834 |
193 | Ecuador | -1,831,720 |
194 | Czech Republic | -2,568,096 |
195 | Philippines | -2,929,194 |
196 | Syrian Arab Republic | -3,441,132 |
197 | Canada | -3,510,976 |
198 | Hungary | -4,728,552 |
199 | Argentina | -5,922,464 |
200 | France | -6,854,016 |
201 | Japan | -25,265,664 |
- #1
Russia
- #2
China
- #3
Ukraine
- #4
India
- #5
United Kingdom
- #6
Kazakhstan
- #7
Saudi Arabia
- #8
United States
- #9
Brazil
- #10
Poland
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #201
Japan
- #200
France
- #199
Argentina
- #198
Hungary
- #197
Canada
- #196
Syrian Arab Republic
- #195
Philippines
- #194
Czech Republic
- #193
Ecuador
- #192
Portugal
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
Annual CO₂ Emissions Growth (abs) in 1985: A Global Overview
In 1985, Russia led the world in Annual CO₂ Emissions Growth (abs) with an increase of 170,953,980 metric tons, reflecting a significant rise compared to the global range, which saw a maximum of 170,953,980 and a minimum of -6,854,016. The average Annual CO₂ emissions growth across 200 countries was 3,525,842.10 metric tons, with a median growth of 102,592 metric tons, indicating a diverse range of emissions trends worldwide.
Economic Drivers of Emissions Growth
The substantial increases in CO₂ emissions in 1985 can be closely linked to the economic activities of the leading countries. For instance, Russia's emissions growth of 170,953,980 metric tons is indicative of its heavy reliance on fossil fuels and industrial production during this period, which was marked by a focus on heavy industry. Similarly, China recorded an increase of 152,980,600 metric tons, driven by rapid industrialization and urbanization as the country began to open up its economy, resulting in escalated energy demands.
In contrast, India experienced a notable rise of 36,032,320 metric tons, reflecting its growing industrial base and energy consumption as it sought to enhance economic development. The emissions growth in these countries underscores the correlation between economic expansion and increased carbon output, particularly in nations heavily investing in industrial capabilities.
Geopolitical Factors Influencing Emissions
The geopolitical landscape of 1985 also influenced emissions growth patterns. Countries like Ukraine saw an increase of 54,358,336 metric tons, largely due to its status as part of the Soviet Union, where centralized planning often prioritized heavy industry and energy production. This resulted in significant emissions, reflecting the region's industrial policies.
Conversely, several countries experienced a decline in emissions. For example, France reported a decrease of -6,854,016 metric tons, reflecting its transition towards nuclear energy, which significantly reduced reliance on fossil fuels. This contrast highlights how energy policy decisions can effectively mitigate emissions growth, even amidst global industrial pressures.
Year-over-Year Changes: The Biggest Movers
The year-over-year changes in emissions growth in 1985 reveal striking contrasts between countries experiencing sharp increases and those witnessing significant decreases. Notably, Russia reported the largest increase of 151,779,580 metric tons, a staggering growth of 791.6%. This extraordinary rise can largely be attributed to the Soviet Union's emphasis on heavy industry, which dominated its economic landscape.
In stark contrast, the United States recorded a decrease of -116,999,684 metric tons, a decline of -88.0%. This reduction was influenced by a shift in energy policies and economic downturns in certain sectors, prompting a reevaluation of carbon-intensive practices. Similarly, Canada saw a decrease of -20,413,120 metric tons, reflecting its efforts to diversify energy sources and reduce carbon emissions through policy initiatives.
Such disparities in emissions growth underline the varied responses to environmental concerns and economic strategies across different nations, showcasing the complex interplay between economic development, energy policy, and environmental impacts.
Conclusion: The Significance of 1985 Data
The Annual CO₂ Emissions Growth (abs) data from 1985 provides crucial insights into the environmental and economic dynamics of the period. Countries like Russia and China exemplified the industrial growth that often leads to increased emissions, while nations such as France demonstrated the effectiveness of alternative energy strategies in curbing carbon output. The contrasting experiences of these countries underline the importance of policy decisions and economic structures in shaping environmental outcomes. Understanding these patterns is essential for informing future actions aimed at reducing global carbon emissions and addressing climate change.
Data Source
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