Annual CO₂ Emissions Growth (abs) 1927

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
United Kingdom flag
United Kingdom
220,278,110
2
Germany flag
Germany
67,948,900
3
Belgium flag
Belgium
12,791,024
4
Poland flag
Poland
12,538,208
5
Russia flag
Russia
11,500,204
6
Canada flag
Canada
7,243,728
7
Japan flag
Japan
6,877,328
8
Sweden flag
Sweden
5,105,462
9
Italy flag
Italy
4,543,360
10
Ukraine flag
Ukraine
3,647,573
11
Netherlands flag
Netherlands
3,638,352
12
Spain flag
Spain
3,066,768
13
Denmark flag
Denmark
2,857,920
14
Czech Republic flag
Czech Republic
2,644,764
15
Norway flag
Norway
2,307,014
16
Argentina flag
Argentina
2,175,711
17
China flag
China
2,148,416
18
India flag
India
1,941,176
19
Indonesia flag
Indonesia
1,788,032
20
Australia flag
Australia
1,681,880
21
Iran flag
Iran
1,641,472
22
Romania flag
Romania
1,623,151
23
Austria flag
Austria
1,502,240
24
Hungary flag
Hungary
1,315,376
25
Finland flag
Finland
1,253,088
26
Kazakhstan flag
Kazakhstan
1,247,819
27
Switzerland flag
Switzerland
1,139,504
28
Slovakia flag
Slovakia
850,692
29
Brazil flag
Brazil
569,204
30
Vietnam flag
Vietnam
534,944
31
Belarus flag
Belarus
524,452
32
Greece flag
Greece
494,640
33
Portugal flag
Portugal
494,640
34
Uzbekistan flag
Uzbekistan
489,411
35
Serbia flag
Serbia
424,098
36
Turkey flag
Turkey
271,136
37
Azerbaijan flag
Azerbaijan
250,502.06
38
New Zealand flag
New Zealand
223,504
39
Lithuania flag
Lithuania
195,947
40
Republic of Moldova flag
Republic of Moldova
193,647
41
Estonia flag
Estonia
189,500
42
Taiwan flag
Taiwan
175,872
43
Croatia flag
Croatia
160,138
44
Turkmenistan flag
Turkmenistan
159,395
45
Bosnia and Herzegovina flag
Bosnia and Herzegovina
146,659
46
Trinidad and Tobago flag
Trinidad and Tobago
139,232
47
Latvia flag
Latvia
125,631
48
Ecuador flag
Ecuador
122,516
49
Slovenia flag
Slovenia
121,453
50
Kyrgyzstan flag
Kyrgyzstan
107,095
51
Nigeria flag
Nigeria
91,600
52
Zimbabwe flag
Zimbabwe
87,936
53
North Macedonia flag
North Macedonia
83,984
54
Georgia flag
Georgia
69,391
55
North Korea flag
North Korea
62,481
56
Tajikistan flag
Tajikistan
61,493
57
Armenia flag
Armenia
41,586
58
Bulgaria flag
Bulgaria
36,640
59
Egypt flag
Egypt
36,640
60
Algeria flag
Algeria
18,320
61
Bolivia flag
Bolivia
17,415
62
Montenegro flag
Montenegro
16,307.992
63
Cuba flag
Cuba
16,307
64
El Salvador flag
El Salvador
9,495
65
South Korea flag
South Korea
3,471
66
Guatemala flag
Guatemala
382
67
Aruba flag
Aruba
0
68
Bonaire, Sint Eustatius and Saba flag
Bonaire, Sint Eustatius and Saba
0
69
Costa Rica flag
Costa Rica
0
70
Curaçao flag
Curaçao
0
71
Sint Maarten (Dutch part) flag
Sint Maarten (Dutch part)
0
72
Paraguay flag
Paraguay
-62
73
Haiti flag
Haiti
-77
74
Honduras flag
Honduras
-787
75
Panama flag
Panama
-3,845
76
Dominican Republic flag
Dominican Republic
-4,756
77
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
-7,328
78
Philippines flag
Philippines
-10,992
79
Nicaragua flag
Nicaragua
-14,568
80
Peru flag
Peru
-15,507
81
Venezuela flag
Venezuela
-19,898
82
Malaysia flag
Malaysia
-21,984
83
Chile flag
Chile
-45,936
84
Uruguay flag
Uruguay
-75,185
85
Colombia flag
Colombia
-75,522.06
86
France flag
France
-692,496
87
South Africa flag
South Africa
-868,368
88
Ireland flag
Ireland
-1,366,672
89
Mexico flag
Mexico
-12,274,298
90
United States flag
United States
-43,209,344

Top 10 Countries

  1. #1United Kingdom flagUnited Kingdom
  2. #2Germany flagGermany
  3. #3Belgium flagBelgium
  4. #4Poland flagPoland
  5. #5Russia flagRussia
  6. #6Canada flagCanada
  7. #7Japan flagJapan
  8. #8Sweden flagSweden
  9. #9Italy flagItaly
  10. #10Ukraine flagUkraine

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

Bottom 10 Countries

  1. #90United States flagUnited States
  2. #89Mexico flagMexico
  3. #88Ireland flagIreland
  4. #87South Africa flagSouth Africa
  5. #86France flagFrance
  6. #85Colombia flagColombia
  7. #84Uruguay flagUruguay
  8. #83Chile flagChile
  9. #82Malaysia flagMalaysia
  10. #81Venezuela flagVenezuela

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

Leading Countries in Annual CO₂ Emissions Growth (abs) in 1927

In 1927, the United Kingdom led the world with an astonishing Annual CO₂ Emissions Growth (abs) of 220,278,110 metric tons, while the global range of emissions growth spanned from a minimum of -43,209,344 in the United States to this peak value. The average emissions growth across the 90 countries with available data was 3,726,185.69 metric tons, indicating a significant disparity in emissions trends globally.

Economic Drivers Behind Emissions Growth

The substantial rise in CO₂ emissions in the United Kingdom can be attributed to its industrial expansion during this period. As one of the world's leading industrial powers, the UK saw increased coal consumption, which was the primary energy source of the time. The UK’s emissions growth of 220,278,110 metric tons reflects its reliance on coal, which was essential for powering factories and railways. In contrast, the United States experienced a notable decrease in emissions, with a reduction of -43,209,344 metric tons. This decline is likely linked to economic adjustments and a shift in energy consumption patterns, moving away from coal. Similarly, Germany exhibited a significant increase of 67,948,900 metric tons, fueled by its post-World War I recovery and industrial resurgence.

Geographic Patterns in Emissions Changes

Geographically, the data reveals stark contrasts in emissions growth. While the UK and Germany surged, countries like Mexico and Ireland faced substantial declines, with emissions reductions of -12,274,298 and -1,366,672 metric tons respectively. This divergence can be attributed to various factors, including economic conditions and energy policies. For instance, Mexico was grappling with political instability that likely hindered industrial output, while Ireland was undergoing significant economic changes post-independence. Meanwhile, Poland experienced a remarkable increase of 12,538,208 metric tons, indicative of its growing industrial base at the time.

Year-over-Year Changes: The Biggest Movers

The year-over-year changes in emissions growth provide further insights into the dynamics of CO₂ emissions in 1927. The United Kingdom reported the largest increase, with a staggering rise of 420,211,110 metric tons, a figure that reflects the industrial boom following the Great War. Similarly, Germany saw an increase of 112,777,956 metric tons, which can be linked to its efforts to rebuild its economy and infrastructure. In stark contrast, the United States experienced a significant drop of -191,072,384 metric tons, which suggests a shift in industrial focus and perhaps a move towards cleaner energy sources. The contrasting trends highlight how different national policies and economic conditions influence emissions trajectories.

Conclusion: The Significance of CO₂ Emissions in 1927

The data on Annual CO₂ Emissions Growth (abs) in 1927 underscores the complex interplay between industrial activity, economic conditions, and energy consumption. While countries like the United Kingdom and Germany demonstrated significant emissions growth due to industrialization, others like the United States experienced declines that may point to shifts towards more sustainable practices. Understanding these patterns is crucial for contemporary policymakers aiming to address climate change and reduce carbon footprints, as it highlights the long-standing relationship between economic development and environmental impact.

Data Source

Global Carbon Budget

Just over 20 years ago the Global Carbon Project (GCP) was created to bring together a global consortium of scientists to establish a common and mutually agreed understanding of the Earth carbon cycle.

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Historical Data by Year

Explore Annual CO₂ Emissions Growth (abs) data across different years. Compare trends and see how statistics have changed over time.

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