Carbon Footprints of World Cities

[mousquet]

Earlier today, I read that Forbes mentioned the Paris mayor, Anne Hidalgo as one of the most involved influential character in the fight against climate change.
So, here goes...

https://citycarbonfootprints.info/

The most interesting field in their table is footprint per capita, in tons of CO2.
It's true that as a major urban area on the global stage, Paris performs well in that respect. You can't even find it in the top 500 per capita, which is astonishing.
Hidalgo upsets a lot of people over here, but fact is the results of her somewhat annoying policies appear pretty good in that matter of having respect for the environment.
Rome, Italy does even better than Paris. It must be something with their Dolce Vita.

I didn't expect Moscow's per-capita emissions to be even lower than ours. It must be related to the Russian overall standard of living, which is low as well.

Unsurprisingly, North Americans don't seem to actually care so much...
The most stylish and advanced today being both wealthy and clean to the environment.

[Doady]

Top 500 carbon footprint per capita:

Urban Cluster	Country	Populat	t CO2/cap		Ranking
Hong Kong SAR	China	6029000	34.6 ±6.3	1
Mohammed Bin Za UAE	188000	32.9 ±27.9	2
Abu Dhabi	UAE	911000	32.9 ±17.1	3
Singapore	Singapo 5235000	30.8 ±6.5	4
Hulun Buir	China	198000	30.0 ±32.3	5
Al-Ahmadi	Kuwait	2697000	29.9 ±7.2	6
Doha		Qatar	1128000	28.7 ±10.2	7
Hinggan		China	242000	28.6 ±29.3	8
Chifeng		China	677000	28.0 ±16.2	9
Al-Jahrah	Kuwait	178000	27.2 ±18.4	10
Litong		China	270000	26.3 ±24.4	11
New Orleans	USA	596000	26.1 ±13.0	12
Detroit		USA	2770000	25.5 ±5.6	13
Tongliao	China	561000	25.5 ±17.7	14
Yinchuan	China	1338000	25.3 ±12.8	15
Al Ain		UAE	738000	25.1 ±13.4	16
Cleveland	USA	973000	24.7 ±9.0	17
Ulanqab		China	275000	24.5 ±23.1	18
St. Louis	USA	1177000	24.1 ±8.2	19
Dalad		China	171000	24.0 ±27.4	20
Pittsburgh	USA	602000	24.0 ±10.4	21
Toledo		USA	257000	22.8 ±13.5	22
Kansas City	USA	1004000	22.6 ±7.4	23
Gold Coast	Austral	342000	22.6 ±9.7	24
Grand Rapids	USA	315000	22.6 ±11.7	25
Cincinnati	USA	521000	22.6 ±8.9	26
Tulsa		USA	386000	22.6 ±10.3	27
Akron		USA	209000	22.6 ±12.6	28
Dubai		UAE	4971000	22.3 ±6.2	29
Huhot		China	1796000	22.0 ±10.1	30
Dayton		USA	278000	21.8 ±12.1	31
Minneapolis	USA	1518000	21.8 ±6.4	32
Fort Wayne	USA	153000	21.5 ±13.7	33
Louisville	USA	575000	21.5 ±8.6	34
Moline/Davenpor USA	168000	21.3 ±12.2	35
Wichita		USA	267000	21.3 ±11.1	36
Burnsville, MN	USA	152000	21.2 ±12.9	37
Des Moines	USA	172000	21.1 ±15.1	38
Chicago		USA	7260000	21.1 ±5.1	39
Rockford, IL	USA	174000	21.0 ±13.0	40
St. Petersburg	USA	798000	21.0 ±8.3	41
Oklahoma City	USA	530000	20.8 ±8.9	42
Memphis		USA	266000	20.8 ±9.5	43
Riyadh		Saudi A	5747000	20.7 ±4.6	44
Indianapolis	USA	938000	20.6 ±5.7	45
Naples, FL	USA	200000	20.5 ±12.4	46
Milwaukee	USA	821000	20.4 ±8.9	47
Richmond	USA	280000	20.3 ±10.9	48
Baltimore	USA	1254000	20.2 ±9.1	49
Dongsheng	China	448000	20.1 ±19.5	50
Omaha		USA	484000	19.9 ±8.8	51
Newcastle	Austral	209000	19.9 ±9.8	52
Ad Damman	Saudi A	1611000	19.8 ±6.7	53
Columbus	USA	1003000	19.8 ±8.5	54
Sarasota	USA	434000	19.8 ±9.0	55
Buffalo		USA	570000	19.8 ±10.0	56
Philadelphia	USA	3591000	19.5 ±5.4	57
Denver		USA	1824000	19.4 ±6.1	58
Oakland		USA	398000	19.3 ±10.6	59
Newport News	USA	251000	19.3 ±10.8	60
Jeddah		Saudi A	3287000	19.2 ±6.7	61
Brisbane	Austral	1644000	19.1 ±4.3	62
Hartford	USA	568000	19.0 ±10.4	63
Boston		USA	1950000	19.0 ±8.4	64
Washington D.C.	USA	3285000	19.0 ±4.5	65
Lakewood Townsh	USA	533000	18.9 ±8.4	66
Windsor		Canada	211000	18.9 ±12.4	67
Providence	USA	534000	18.8 ±9.9	68
Fremantle	Austral	1276000	18.8 ±5.9	69
Atlanta		USA	1860000	18.7 ±5.0	70
Bayan Nur	China	293000	18.5 ±17.3	71
Baotou		China	1991000	18.5 ±8.5	72
Norfolk		USA	696000	18.4 ±7.5	73
Al Jubail	Saudi A	187000	18.3 ±15.5	74
Frankfort	USA	219000	18.2 ±11.5	75
Shapotou	China	177000	18.2 ±22.1	76
Spokane		USA	204000	18.1 ±11.6	77
Lincoln		USA	186000	18.0 ±14.2	78
Baton Rouge	USA	230000	17.9 ±9.1	79
Syracuse	USA	187000	17.8 ±11.0	80
Colorado Spring	USA	344000	17.8 ±9.9	81
Springfield, MA	USA	291000	17.7 ±7.3	82
Nashville	USA	315000	17.6 ±9.6	83
Khabarovsk	Russia	495000	17.5 ±11.0	84
San Jose	USA	4003000	17.5 ±4.9	85
Rochester	USA	306000	17.5 ±13.9	86
Werribee	Austral	181000	17.4 ±12.1	87
Seattle		USA	1973000	17.3 ±5.6	88
Laurel, MD	USA	223000	17.2 ±9.0	89
Bridgeport-Stam	USA	612000	17.1 ±7.8	90
New York	USA    13648000	17.1 ±5.5	91
Harrisburg	USA	220000	17.1 ±13.0	92
Tucson		USA	519000	17.1 ±7.6	93
Albuquerque	USA	431000	17.0 ±9.0	94
Jacksonville	USA	552000	17.0 ±6.3	95
Regina		Canada	159000	16.8 ±11.1	96
Salem		USA	150000	16.8 ±11.4	97
Adelaide	Austral	843000	16.7 ±6.4	98
Ulsan		S Korea	922000	16.7 ±6.1	99
London		Canada	329000	16.7 ±10.1	100
Nizhny Tagil	Russia	258000	16.7 ±9.9	101
Portland	USA	1163000	16.7 ±8.0	102
Santa Clarita	USA	162000	16.6 ±11.6	103
Allentown	USA	359000	16.6 ±9.5	104
Chonju		S Korea	623000	16.6 ±9.4	105
Columbia	USA	177000	16.6 ±8.9	106
Corpus Christi	USA	179000	16.6 ±10.2	107
Lubbock		USA	183000	16.5 ±12.2	108
Saskatoon	Canada	182000	16.5 ±11.5	109
Dallas		USA	4674000	16.5 ±3.4	110
Chilgok		S Korea	304000	16.4 ±14.0	111
Boise		USA	167000	16.3 ±13.3	112
Cheonan		S Korea	581000	16.3 ±8.7	113
Albany		USA	227000	16.3 ±11.5	114
Carson City	USA	213000	16.2 ±10.3	115
Unayzha		Saudi A	284000	16.1 ±9.9	116
Worcester	USA	166000	16.1 ±13.1	117
Hilo		USA	400000	16.0 ±12.3	118
Miami		USA	5031000	16.0 ±4.4	119
Eugene, OR	USA	181000	15.9 ±9.4	120
Phoenix		USA	3279000	15.9 ±4.6	121
SpringValley,NY	USA	151000	15.8 ±11.4	122
Victoria	Canada	162000	15.8 ±12.0	123
Quebec		Canada	434000	15.7 ±7.5	124
Waterloo	Canada	282000	15.6 ±9.5	125
Salt Lake City	USA	918000	15.5 ±6.0	126
Astana		Kazakhs	832000	15.5 ±8.2	127
Carslbad	USA	538000	15.5 ±8.1	128
Komsomolsk-on-A	Russia	174000	15.4 ±10.0	129
Melbourne, FL	USA	236000	15.4 ±6.4	130
Palm Springs	USA	299000	15.4 ±7.5	131
Yinzhuzhen	China	308000	15.4 ±11.3	132
Oshawa		Canada	252000	15.4 ±9.7	133
Atyrau		Kazakhs	230000	15.3 ±11.8	134
Tampa		USA	689000	15.3 ±6.3	135
San Antonio	USA	1262000	15.2 ±4.9	136
Belgorod	Russia	315000	15.2 ±9.5	137
24.0, 38.2	Saudi A	207000	15.2 ±11.3	138
Buraydah	Saudi A	304000	15.1 ±8.8	139
Edmonton	Canada	796000	15.1 ±5.8	140
Mecca		Saudi A	1181000	15.1 ±7.1	141
Ch'unch'on	S Korea	208000	15.1 ±14.7	142
21.5, 39.9	Saudi A	213000	15.0 ±11.6	143
Austin		USA	955000	15.0 ±5.1	144
Chatanga	Russia	160000	15.0 ±12.8	145
Medina		Saudi A	947000	14.9 ±5.9	146
Calgary		Canada	997000	14.9 ±5.2	147
Changwon	S Korea	697000	14.9 ±8.6	148
Winnipeg	Canada	605000	14.8 ±7.4	149
Vancouver, WA	USA	266000	14.8 ±8.3	150
Lipetsk		Russia	380000	14.8 ±7.9	151
24.2, 47.3	Saudi A	165000	14.8 ±9.9	152
Ch'ungju	S Korea	674000	14.7 ±9.2	153
Orlando		USA	1436000	14.7 ±4.5	154
Raleigh		USA	343000	14.7 ±7.1	155
Houston		USA	4524000	14.6 ±4.0	156
Uttyakh		Russia	216000	14.6 ±12.5	157
Los Angeles	USA    13482000	14.6 ±3.2	158
El Paso		USA	463000	14.6 ±8.5	159
53.4, 59.0	Russia	301000	14.5 ±9.6	160
Charlotte	USA	353000	14.5 ±7.5	161
San Diego	USA	1942000	14.5 ±4.4	162
35.2, 128.1	S Korea	240000	14.5 ±11.0	163
Lake Ridge, VA	USA	200000	14.3 ±9.6	164
Antioch, CA	USA	229000	14.3 ±10.9	165
Al Hofuf	Saudi A	1091000	14.2 ±6.9	166
Sacramento	USA	1484000	14.2 ±4.9	167
44.7, 37.8	Russia	187000	14.2 ±8.0	168
37.4, 127.9	S Korea	228000	14.1 ±13.5	169
Tsentral'nyy Ra	Russia	429000	14.1 ±8.2	170
Pavlodar	Kazakhs	279000	14.0 ±11.9	171
Melbourne	Austral	3185000	13.9 ±3.5	172
Almaty		Kazakhs	1814000	13.9 ±4.8	173
36.0, 129.4	S Korea	316000	13.9 ±7.8	174
Ha'il		Saudi A	223000	13.8 ±8.0	175
Omsk		Russia	951000	13.8 ±6.6	176
Pusan		S Korea	3064000	13.8 ±5.1	177
Pickering-Ajax	Canada	161000	13.7 ±9.6	178
35.3, 129.0	S Korea	163000	13.7 ±10.3	179
Panjin		China	181000	13.7 ±9.1	180
Modesto		USA	258000	13.7 ±9.9	181
Kursk		Russia	327000	13.6 ±7.9	182
36.0, 127.0	S Korea	186000	13.6 ±12.1	183
Oxnard		USA	261000	13.5 ±10.9	184
Ust' Ordynskiy	Russia	527000	13.4 ±6.6	185
Kaliningrad	Russia	367000	13.3 ±9.5	186
Fresno		USA	575000	13.3 ±5.5	187
Ural'sk		Kazakhs	232000	13.2 ±8.5	188
Tula		Russia	429000	13.2 ±8.5	189
Bratislava	Slovaki 318000	13.2 ±10.9	190
Xinzhou		China	266000	13.2 ±12.5	191
Kwangju		S Korea	1408000	13.2 ±5.6	192
Hamilton	Canada	404000	13.1 ±8.3	193
Aktyubinsk	Kazakhs	409000	13.1 ±9.1	194
Ottawa		Canada	606000	13.1 ±6.1	195
Ulan Ude	Russia	308000	13.0 ±7.5	196
Tver		Russia	331000	13.0 ±7.3	197
Tolyatti	Russia	442000	13.0 ±7.6	198
Linfen		China	611000	13.0 ±9.2	199
Seoul		S Korea	21254k	13.0 ±2.4	200
Huairen		China	152000	13.0 ±10.3	201
Semipalatinsk	Kazakhs	259000	13.0 ±8.1	202
Mangyshlak	Kazakhs	222000	12.9 ±9.3	203
Chelyabinsk	Russia	1019000	12.9 ±5.8	204
Arkangel'sk	Russia	169000	12.9 ±10.5	205
Yuci		China	452000	12.9 ±10.4	206
Fuxin		China	674000	12.9 ±7.9	207
Kotlas		Russia	239000	12.9 ±8.9	208
Changzhi	China	590000	12.9 ±9.4	209
Xioyi		China	188000	12.8 ±12.5	210
Krasnoyarsk	Russia	798000	12.8 ±7.0	211
Volgograd	Russia	583000	12.8 ±5.8	212
Ryazan		Russia	441000	12.7 ±7.5	213
Nassau		Bahamas	186000	12.7 ±5.9	214
Tokers Green	UK	213000	12.6 ±9.2	215
37.5, 118.5	China	479000	12.6 ±9.5	216
35.0, 111.0	China	310000	12.6 ±8.7	217
44.1, 43.1	Russia	213000	12.6 ±9.1	218
28.4, 46.0	Saudi A	233000	12.6 ±11.8	219
Voronezh	Russia	794000	12.6 ±6.5	220
Ust'-KamenogorskKazakhs	280000	12.6 ±9.0	221
Edinburgh	UK	322000	12.6 ±7.7	222
Kaluga		Russia	221000	12.6 ±12.0	223
Penza		Russia	416000	12.5 ±7.3	224
Liaoyang	China	628000	12.5 ±11.7	225
53.6, 55.9	Russia	260000	12.5 ±10.9	226
Kazan'		Russia	953000	12.5 ±4.8	227
Astrakhan	Russia	498000	12.5 ±6.7	228
Kemerovo	Russia	391000	12.5 ±9.0	229
47.2, 38.9	Russia	208000	12.4 ±8.8	230
Yaroslavl	Russia	498000	12.4 ±7.1	231
Taejon		S Korea	1551000	12.4 ±5.2	232
35.5, 112.8	China	475000	12.4 ±11.5	233
Las Vegas	USA	1904000	12.3 ±4.8	234
Krasnodar	Russia	698000	12.3 ±5.0	235
37.1, 111.8	China	198000	12.3 ±10.6	236
48.5, 44.6	Russia	179000	12.3 ±11.6	237
42.3, 123.8	China	175000	12.3 ±13.1	238
Petrozavodsk	Russia	187000	12.2 ±8.7	239
Tabuk		Saudi A	405000	12.2 ±10.0	240
Novosibirsk	Russia	1229000	12.2 ±5.7	241
26.6, -82.0	USA	164000	12.2 ±7.1	242
26.2, -98.2	USA	175000	12.2 ±8.0	243
Novokuznetsk	Russia	380000	12.2 ±9.9	244
59.1, 37.9	Russia	225000	12.2 ±10.0	245
Kostanay	Kazakhs	181000	12.2 ±9.7	246
48.8, 44.8	Russia	243000	12.1 ±8.6	247
Pskov		Russia	172000	12.1 ±11.4	248
37.8, 113.5	China	612000	12.1 ±9.8	249
Vologda		Russia	258000	12.1 ±7.6	250
Altay		China	205000	12.1 ±13.6	251
Schoot		Netherl	295000	12.1 ±6.8	252
Jinzhou		China	844000	12.1 ±6.5	253
Saint George's	Trinida	389000	12.1 ±6.0	254
46.6, 124.9	China	426000	12.0 ±7.3	255
Novgorod	Russia	160000	12.0 ±10.5	256
Petropavlovsk	Kazakhs	179000	12.0 ±9.4	257
52.6, 103.9	Russia	152000	12.0 ±10.3	258
Sverdlovsk	Russia	980000	12.0 ±5.7	259
51.4, 0.5	UK	201000	12.0 ±9.5	260
36.1, 136.2	Japan	172000	12.0 ±8.4	261
J??lge		Turkmen	184000	11.9 ±8.5	262
Kyzylorda	Kazakhs	213000	11.9 ±12.5	263
Kostroma	Russia	207000	11.9 ±11.1	264
Vitoria		Spain	164000	11.9 ±12.8	265
Stavropol	Russia	411000	11.9 ±6.9	266
36.8, 117.8	China	263000	11.9 ±10.1	267
Baerum		Norway	713000	11.9 ±6.8	268
Gor'kiy		Russia	1158000	11.9 ±5.7	269
37.5, 111.1	China	245000	11.9 ±13.5	270
Ashgabat	Turkmen	889000	11.8 ±6.8	271
35.7, 51.8	Iran	264000	11.8 ±10.1	272
42.9, 125.1	China	410000	11.8 ±9.1	273
Stockton	USA	316000	11.8 ±7.8	274
Chardzhev	Turkmen	332000	11.8 ±9.9	275
57.2, -2.1	UK	165000	11.7 ±12.1	276
38.7, 117.5	China	206000	11.7 ±10.4	277
Daqing		China	379000	11.7 ±6.5	278
Arnhem		Netherl	172000	11.7 ±7.4	279
Shihar		Saudi A	592000	11.7 ±6.4	280
Sydney		Austral	3533000	11.7 ±3.0	281
Ivanovo		Russia	356000	11.7 ±7.0	282
43.2, 124.4	China	502000	11.7 ±9.0	283
Bristol		UK	553000	11.6 ±6.9	284
51.8, 5.8	Netherl	157000	11.6 ±8.5	285
Torshavn	UK	893000	11.6 ±5.5	286
Tsuchiura	Japan	203000	11.6 ±6.4	287
Utrecht		Netherl	471000	11.6 ±6.3	288
51.6, 5.1	Netherl	180000	11.6 ±11.1	289
Vladimir	Russia	207000	11.5 ±8.2	290
Tel Aviv-Yafo	Israel	2653000	11.5 ±3.6	291
36.4, 140.5	Japan	276000	11.5 ±5.5	292
Datong, Shanxi	China	1517000	11.5 ±6.6	293
52.6, 1.3	UK	162000	11.5 ±9.8	294
Taldykorgan	Kazakhs	174000	11.5 ±12.2	295
45.1, 124.8	China	500000	11.5 ±8.6	296
Zibo		China	1687000	11.5 ±4.3	297
39.1, 117.7	China	401000	11.5 ±7.1	298
8.8, 117.4	China	361000	11.5 ±8.4	299
50.9, 6.0	Netherl	187000	11.5 ±7.4	300
Sheffield	UK	704000	11.4 ±7.4	301
Orel		Russia	272000	11.4 ±8.9	302
55.8, -4.0	UK	243000	11.4 ±6.2	303
47.7, 40.2	Russia	172000	11.3 ±8.3	304
Bern		Switzer	176000	11.3 ±11.6	305
Jinxi, Liaoning	China	506000	11.3 ±12.9	306
43.4, 128.2	China	210000	11.3 ±10.0	307
35.7, 138.5	Japan	374000	11.3 ±5.4	308
West Yorkshire	UK	1530000	11.2 ±3.9	309
Barnaul		Russia	495000	11.2 ±6.1	310
Rostov-on-Don	Russia	1013000	11.2 ±5.4	311
Tomsk		Russia	417000	11.2 ±5.7	312
38.8, 121.3	China	168000	11.2 ±10.4	313
37.5, 116.3	China	568000	11.2 ±8.6	314
42.9, 129.5	China	462000	11.2 ±7.5	315
43.3, -2.0	Spain	199000	11.2 ±12.1	316
Hamburg		Germany	1700000	11.1 ±3.8	317
Kurgan		Russia	243000	11.1 ±9.0	318
Vienna		Austria	1810000	11.1 ±4.2	319
Blagoveshchensk	Russia	224000	11.1 ±9.7	320
Orenburg	Russia	420000	11.1 ±7.8	321
Klintsy		Russia	376000	11.1 ±7.9	322
Rotterdam	Netherl	2454000	11.1 ±3.5	323
35.4, 119.5	China	511000	11.0 ±7.3	324
Haarlem		Netherl	258000	11.0 ±7.6	325
Tambov		Russia	274000	11.0 ±8.4	326
52.0, -0.8	UK	206000	11.0 ±6.4	327
45.6, 84.8	China	181000	11.0 ±10.2	328
36.6, 111.7	China	167000	11.0 ±9.8	329
Orem-Provo	USA	253000	11.0 ±8.2	330
Bakersfield	USA	446000	11.0 ±6.5	331
37.6, 120.5	China	181000	11.0 ±9.1	332
Zurich	Switzerland	647000	11.0 ±5.9	333
Ul'yanovsk	Russia	309000	10.9 ±8.0	334
Riverside-San B	USA	166000	10.9 ±8.7	335
36.5, 114.2	China	325000	10.9 ±7.7	336
38.3, 140.3	Japan	202000	10.9 ±6.7	337
Tyumen		Russia	508000	10.9 ±5.9	338
Zaozhuang	China	538000	10.9 ±6.9	339
Haifa		Israel	393000	10.8 ±6.2	340
37.5, 121.3	China	633000	10.8 ±6.7	341
Ufa		Russia	809000	10.8 ±5.5	342
Kashi		China	453000	10.8 ±7.3	343
Kuybyskev	Russia	935000	10.8 ±5.3	344
51.9, 7.6	Germany	187000	10.8 ±10.6	345
37.2, 122.4	China	158000	10.8 ±12.8	346
Langfang	China	507000	10.8 ±8.1	347
Athens		Greece	3276000	10.8 ±3.6	348
Saratov		Russia	681000	10.8 ±5.2	349
37.4, 121.6	China	160000	10.8 ±9.7	350
52.9, -1.5	UK	230000	10.7 ±5.7	351
45.6, 122.8	China	280000	10.7 ±12.8	352
Taegu		S Korea	1918000	10.6 ±4.5	353
Groningen	Netherl	159000	10.6 ±7.3	354
50.4, -4.1	UK	220000	10.6 ±7.7	355
Birmingham	UK	2374000	10.6 ±3.1	356
37.8, 140.5	Japan	195000	10.6 ±6.8	357
Amsterdam	Netherl	1043000	10.5 ±4.3	358
Teesport	UK	301000	10.5 ±5.8	359
32.6, 110.8	China	579000	10.5 ±7.9	360
52.3, -0.9	UK	189000	10.5 ±7.3	361
37.5, 112.1	China	434000	10.5 ±5.8	362
50.8, -1.1	UK	250000	10.5 ±6.2	363
Bremen		Germany	401000	10.5 ±6.3	364
36.7, 137.2	Japan	228000	10.4 ±5.8	365
Ceboksary	Russia	389000	10.4 ±7.4	366
London		UK	9486000	10.4 ±2.3	367
53.0, -2.2	UK	318000	10.4 ±1.3	368
37.4, 121.5	China	227000	10.4 ±9.8	369
Fushun		China	1230000	10.4 ±5.7	370
Berlin		Germany	3217000	10.4 ±3.6	371
51.6, -1.8	UK	171000	10.4 ±1.3	372
Southampton	UK	329000	10.3 ±8.5	373
53.8, -3.0	UK	175000	10.3 ±8.1	374
53.8, -0.4	UK	272000	10.3 ±7.1	375
Changzhou	China	1285000	10.3 ±4.5	376
32.5, 119.9	China	453000	10.3 ±7.3	377
36.2, 138.0"	Japan	202000	10.2 ±6.4	378
29.7, 118.3"	China	193000	10.2 ±8.5	379
Vancouver	Canada	1715000	10.2 ±3.4	380
Liestal		Switzer	311000	10.2 ±10.5	381
Ostrava		Czech R	222000	10.2 ±8.5	382
36.3, 120.0	China	396000	10.2 ±7.2	383
39.8, 98.3	China	183000	10.2 ±9.6	384
35.6, 111.3	China	243000	10.1 ±9.4	385
Montreal	Canada	2795000	10.1 ±2.6	386
43.5, 43.6	Russia	215000	10.1 ±10.3	387
Vladivostok	Russia	462000	10.1 ±7.8	388
Polygyros	Greece	668000	10.1 ±6.6	389
Izevsk		Russia	566000	10.1 ±6.0	390
Taiyuan		China	3517000	10.1 ±4.4	391
Copenhagen	Denmark	1125000	10.1 ±4.2	392
42.5, 125.7	China	228000	10.1 ±11.5	393
32.4, 119.4	China	862000	10.1 ±6.5	394
36.6, 138.2	Japan	308000	10.1 ±5.3	395
39.3, 112.4	China	322000	10.1 ±11.8	396
36.8, 118.3	China	358000	10.0 ±7.9	397
Cologne		Germany	6942000	10.0 ±2.5	398
Linyi, Shandong	China	1510000	10.0 ±4.2	399
Frankfurt	Germany	1035000	10.0 ±4.1	400
61.3, 63.3	Russia	156000	10.0 ±9.9	401
37.4, 140.4	Japan	248000	10.0 ±5.4	402
Saransk		Russia	217000	10.0 ±7.8	403
36.6, 139.9	Japan	370000	10.0 ±5.7	404
37.2, 112.2	China	172000	9.9 ±11.0	405
37.2, 122.0	China	221000	9.9 ±11.9	406
51.3, -0.8	UK	191000	9.9 ±5.8		407
Weifang		China	1099000	9.9 ±5.3		408
Dashkhovuz	Turkmen	382000	9.9 ±8.3		409
Prague		Czech R	1129000	9.9 ±4.3		410
Vladikavkaz	Russia	328000	9.9 ±5.9		411
Yaskar-Ola	Russia	212000	9.9 ±9.0		412
Beersheba	Israel	202000	9.8 ±9.3		413
31.8, 34.7	Israel	172000	9.8 ±7.7		414
Murmansk	Russia	245000	9.8 ±6.6		415
Furth		Germany	657000	9.8 ±5.4		416
36.5, 116.0	China	527000	9.8 ±6.5		417
Shymkent	Kazakhs	748000	9.8 ±5.7		418
51.2, 6.4	Germany	177000	9.8 ±6.1		419
Jixi,Heilongjia	China	403000	9.7 ±7.3		420
Toronto		Canada	5055000	9.7 ±2.3		421
52.0, 8.5	Germany	201000	9.7 ±8.1		422
Huashan		China	719000	9.7 ±5.4		423
Muscat		Oman	392000	9.6 ±7.3		424
33.5, -117.2	USA	193000	9.6 ±6.9		425
36.7, 117.5	China	393000	9.6 ±5.7		426
50.8, 6.1	Germany	234000	9.6 ±7.1		427
40.9, 122.7	China	441000	9.6 ±6.1		428
36.9, 120.5	China	207000	9.6 ±8.5		429
39.3, 117.8	China	267000	9.5 ±8.3		430
26.3, 107.5	China	155000	9.5 ±13.0	431
Johannesburg	SAfrica	110490k	9.5 ±1.8		432
35.8, 115.0	China	566000	9.5 ±5.7		433
Tangshan	China	1762000	9.5 ±3.8		434
Sitrah		Bahrain	2044000	9.5 ±2.5		435
Lausanne	Switzer	227000	9.5 ±8.7		436
Manchester	UK	3512000	9.5 ±1.2		437
40.6, 122.5	China	289000	9.4 ±5.7		438
18.3, 42.7	SArabia	333000	9.4 ±10.0	439
37.4, 118.0	China	379000	9.4 ±6.4		440
37.2, 119.9	China	237000	9.4 ±11.3	441
52.3, 10.5	Germany	186000	9.4 ±6.6		442
Dalian		China	3289000	9.4 ±4.6		443
Sari		Iran	289000	9.4 ±6.4		444
36.5, 52.9	Iran	204000	9.4 ±8.2		445
36.5, 52.4	Iran	179000	9.4 ±5.2		446
36.5, 52.7	Iran	271000	9.4 ±7.2		447
Maebashi/Takasa Japan	1379000	9.4 ±2.6		448
Nicosia		Cyprus	236000	9.4 ±6.1		449
36.9, 121.5	China	167000	9.3 ±9.7		450
40.0, 118.7	China	215000	9.3 ±5.9		451
36.2, 117.7	China	731000	9.3 ±4.1		452
Benxi		China	762000	9.3 ±7.2		453
31.0, 112.2	China	334000	9.3 ±6.6		454
51.3, 9.5	Germany	222000	9.3 ±7.7		455
30.9, 120.6	China	402000	9.2 ±6.0		456
51.6, -3.0	UK	175000	9.2 ±6.8		457
49.0, 8.4	Germany	277000	9.2 ±6.8		458
Esfahan		Iran	2151000	9.2 ±3.2		459
32.6, 51.3	Iran	170000	9.2 ±7.0		460
31.4, 119.8	China	344000	9.2 ±6.9		461
36.3, 111.7	China	161000	9.2 ±9.4		462
31.3, 119.8	China	179000	9.2 ±10.1	463
36.9, 118.7	China	311000	9.2 ±9.2		464
Wuxi		China  12010000	9.2 ±2.1		465
Smolensk	Russia	302000	9.2 ±6.4		466
Bloemfontein	SAfrica	405000	9.2 ±4.9		467
52.4, -1.5	UK	382000	9.2 ±5.6		468
34.8, 117.3	China	217000	9.2 ±6.9		469
39.7, 141.1	Japan	245000	9.2 ±6.7		470
27.3, -80.4	USA	170000	9.2 ±5.0		471
Huangshi	China	779000	9.2 ±6.2		472
50.7, -1.9	UK	346000	9.1 ±5.4		473
Nazareth	Israel	179000	9.1 ±7.8		474
Ahvaz		Iran	1271000	9.1 ±4.7		475
Dublin		Ireland	1005000	9.1 ±4.2		476
51.9, -0.5	UK	245000	9.1 ±7.2		477
36.9, 117.7	China	193000	9.1 ±5.8		478
40.7, 120.8	China	515000	9.1 ±8.0		479
Yancheng,Jiangsu China	770000	9.1 ±5.0		480
56.0, 37.2	Russia	214000	9.1 ±9.2		481
48.4, 10.9	Germany	300000	9.1 ±5.2		482
35.6, 117.0	China	272000	9.1 ±7.8		483
34.7, 109.2	China	162000	9.1 ±8.3		484
36.2, 116.7	China	337000	9.0 ±8.0		485
38.3, 116.8	China	601000	9.0 ±6.2		486
43.9, 81.3	China	385000	9.0 ±6.5		487
41.2, 80.2	China	243000	9.0 ±9.2		488
36.4, 119.8	China	425000	9.0 ±5.1		489
Tianjin		China	7971000	9.0 ±2.6		490
46.6, 131.1	China	232000	8.9 ±6.8		491
Leipzig		Germany	426000	8.9 ±4.7		492
36.0, 119.4	China	400000	8.9 ±7.1		493
54.9, 23.9	Lithuan	252000	8.9 ±6.4		494
Nottingham	UK	603000	8.9 ±3.6		495
34.0, 51.4	Iran	237000	8.8 ±6.6		496
35.4, 116.9	China	471000	8.8 ±5.8		497
51.6, 0.6	UK	250000	8.8 ±5.4		498
38.7, 116.1	China	197000	8.8 ±8.0		499
Yingkou		China	488000	8.8 ±6.6		500

I am not 100% sure but they seem to have mislabled Windsor as "Detroit" and Quebec City as "Iqaluit" so I have changed these labels accordingly, so keep that in mind.

Coordinates 43.9, -79.1 appears to be Pickering-Ajax, Ontario and 38.0, -121.3 Stockton, California, 40.3, -111.7 Orem-Provo so I have changed that label as well.

[iheartthed]

The population counts seem to be way off.

[BnaBreaker]

How on earth would Hong Kong be the worst offending city on earth in size of carbon footprint? The average Hong Kong resident probably lives in a 300 square foot apartment in a 50 story highrise.

[chris08876]

I would of though LA would of been at the top of the list. Surprising info.

Originally Posted by BnaBreaker

How on earth would Hong Kong be the worst offending city on earth in size of carbon footprint? The average Hong Kong resident probably lives in a 300 square foot apartment in a 50 story highrise.

My thinking is that the topography plays a big role, just like some of the places within desert environments.

Mountains in the sense trapping the flow of heavier emissions, and deserts due to the trap effect at night but release of emissions during the day. Soil dynamics.

It does reference an emission type that is indirect, so more biproducts of industry. Those molecules tend to be heavier as emission derivatives. Could lead to higher ppm when measured in those areas along with the environment and topography playing a role in concentrating it.

I guess with LA, now thinking about it, the industry is much more regulated. Unlike some of the areas at the top.

[Doady]

Hong Kong's high emissions might be due to its isolation, meaning longer distances and more energy consumed for the transport of people and goods. You can see Singapore is up there as well.

Chinese cities in general dominate the list, possibly due to China's heavy reliance on coal power, so Hong Kong is not exactly an outlier, being one of four Chinese cities in the top 10.

[Nouvellecosse]

Originally Posted by BnaBreaker

How on earth would Hong Kong be the worst offending city on earth in size of carbon footprint? The average Hong Kong resident probably lives in a 300 square foot apartment in a 50 story highrise.

One would need to take a long hard look at the methodology to figure out what's going on there. But at this point I can't think of any explanation as to how the ranking could be correct.

Although being one of the few fully-developed cities in a tropical region could play into it since they'd need - and can afford - a lot of a/c which could be exasperated by the urban heat island effect due to the high density. So if the power mostly comes from coal, that would be an issue.

[mousquet]

Thanks for editing the table with the code tag, Doady.
Idk how to do this.

[muppet]

Originally Posted by Doady

Hong Kong's high emissions might be due to its isolation, meaning longer distances and more energy consumed for the transport of people and goods. You can see Singapore is up there as well.

Chinese cities in general dominate the list, possibly due to China's heavy reliance on coal power, so Hong Kong is not exactly an outlier, being one of four Chinese cities in the top 10.

Tbf Chinese cities 'dominate' the list from top to bottom due to how many there are in the country (for example Tianjin, pop 14.5 million is several tiers below in carbon footprint size than Copenhagen, the world's most liveable city). Noticed many at the top are in the coal belt of China in the north, eg Inner Mongolia and Gobi desert.

I'm also flummoxed by how HK comes top too, the world's densest city (if you take away the 80% that's countryside and mountain), with the world's best public transport network that virtually the whole population relies on, and far fewer cars per capita.

Maybe it's the cost of transporting things from Mainland China across the border (everything from loo roll to water)? Or something to do with the fact it's one of the world's busiest ports?

[SIGSEGV]

Could Shenzhen be counted as HK?

[muppet]

I doubt it, different city entirely plus there's a border in between. Population's correctly listed at 6m, if it included SZ it would be over 20m.

[mousquet]

California's regulation would be strict in that matter of environment. Possibly the best or worst (depending on your views) in the US, or so I read.
They have a reputation for often being innovative and even having good ideas sometimes.
Lol, it's no secret.

Power production must be the main key. My country, France is heavily nuclearized. Roughly 70% of electricity would be produced by nuclear power plants over here.
Local environmentalists of the left wing don't like it (they don't like anything much anyway) because of waste and potential safety issues, but it is still relevant for being both highly productive and low emissions.

They also work on renewables, like every developed country does today, but it's not productive enough to fulfill power demand yet.
So yeah, we still have to rely on the nuclear stuff.

[ocman]

Instinctively I’m skeptical that these things are quantifiable enough to be ranked, but I’m glad to see LA so low. Everyone looks at the smog and thinks Angelenos pollute more than everyone else rather than the geography of the place being trapped in by mountains and keeping it from dissipating like in most other cities, even journalists take it as a fact for an angle when writing climate change and they should know better.

[craigs]

For those who are interested, here is LA's municipal utility "power content label" breaking down all sources of the city's electric power. Fun fact: the percent of total energy derived from nuclear is the same as that derived from wind.

[MolsonExport]

List of countries by carbon dioxide emissions per capita

Fossil CO2 emissions per capita (tCO2/year)

Country/Territory/Region/Group 	Fossil CO2 emissions per capita 	% of Global Average 	Change
(1990=100%)
1970 	1990 	2000 	2010 	2020 	2021 	2022 	2023 	2023 	2023
tCO2 	tCO2 	tCO2 	tCO2 	tCO2 	tCO2 	tCO2 	tCO2 	% 	%
 Palau 	173.76 	142.89 	110.66 	103.11 	56.87 	60.41 	60.79 	62.59 	1288.232% 	43.80% Positive decrease
 Qatar 	134.24 	35.64 	53.61 	40.57 	41.30 	41.54 	41.10 	43.55 	896.347% 	122.19% Negative increase
 Kuwait 	51.73 	15.44 	26.56 	28.85 	22.92 	24.34 	24.74 	24.90 	512.403% 	161.29% Negative increase
 Brunei 	15.62 	16.62 	18.23 	18.99 	22.28 	21.71 	20.81 	21.12 	434.726% 	127.12% Negative increase
 New Caledonia 	9.94 	9.31 	10.22 	13.71 	22.50 	19.27 	20.01 	20.90 	430.247% 	224.53% Negative increase
 Bahrain 	14.01 	24.19 	26.74 	23.24 	21.70 	21.37 	20.38 	20.70 	426.043% 	85.57% Positive decrease
 United Arab Emirates 	82.65 	30.58 	28.04 	20.79 	19.92 	20.26 	20.56 	20.22 	416.184% 	66.12% Positive decrease
 Trinidad and Tobago 	7.33 	10.37 	15.09 	30.89 	21.61 	20.77 	20.23 	19.71 	405.617% 	190.08% Negative increase
 Gibraltar 	2.43 	4.93 	10.94 	14.31 	18.27 	18.48 	19.28 	19.67 	404.925% 	398.91% Negative increase
 Saudi Arabia 	8.08 	10.65 	12.77 	17.75 	16.45 	16.58 	16.91 	17.15 	353.080% 	161.06% Negative increase
 Oman 	10.16 	9.06 	11.60 	16.93 	15.96 	16.71 	16.96 	17.11 	352.214% 	188.98% Negative increase
 Canada 	16.69 	15.91 	17.67 	16.44 	14.54 	14.81 	15.04 	14.91 	306.942% 	93.76% Positive decrease
 Netherlands Antilles 	101.06 	18.18 	42.90 	29.05 	12.57 	13.67 	14.09 	14.66 	301.801% 	80.66% Positive decrease
 Russia 	10.05 	16.51 	11.48 	12.20 	12.72 	13.63 	14.12 	14.45 	297.436% 	87.53% Positive decrease
 Australia 	12.49 	16.30 	18.56 	18.77 	15.45 	14.97 	14.42 	14.21 	292.528% 	87.22% Positive decrease
 United States 	21.92 	19.74 	21.03 	17.89 	13.48 	14.25 	14.24 	13.83 	284.661% 	70.08% Positive decrease
 Seychelles 	2.04 	3.76 	9.38 	10.07 	11.71 	11.80 	12.40 	12.76 	262.527% 	339.37% Negative increase
 Kazakhstan 	14.12 	15.03 	8.78 	15.24 	11.97 	12.92 	12.56 	12.43 	255.837% 	82.69% Positive decrease
 Taiwan 	2.47 	6.43 	10.90 	12.31 	12.15 	12.56 	12.02 	11.68 	240.310% 	181.51% Negative increase
 Luxembourg 	57.94 	31.37 	20.18 	22.08 	13.16 	13.63 	11.73 	11.18 	230.026% 	35.62% Positive decrease
 South Korea 	1.93 	6.34 	10.01 	12.07 	11.92 	12.21 	11.34 	11.04 	227.182% 	174.11% Negative increase
 Turkmenistan 	8.61 	12.40 	8.71 	12.12 	11.06 	10.67 	10.75 	10.51 	216.299% 	84.73% Positive decrease
 Greenland 	0.02 	0.02 	0.02 	11.49 	9.29 	9.62 	10.10 	10.21 	210.232% 	49708.73% Negative increase
 Singapore 	3.18 	10.50 	11.63 	9.64 	9.08 	9.29 	9.23 	9.38 	193.154% 	89.34% Positive decrease
 China 	1.10 	2.06 	2.86 	6.72 	8.44 	8.84 	8.75 	9.24 	190.222% 	448.83% Negative increase
 Iran 	2.82 	3.71 	5.35 	7.73 	8.52 	8.76 	8.95 	9.10 	187.237% 	245.37% Negative increase
 Libya 	18.54 	7.36 	9.20 	10.32 	6.88 	8.30 	8.36 	8.88 	182.859% 	120.77% Negative increase
 Estonia 	15.63 	25.23 	12.42 	16.18 	8.83 	9.49 	9.74 	8.87 	182.607% 	35.17% Positive decrease
 Iceland 	9.47 	9.18 	10.18 	11.67 	8.82 	9.33 	9.34 	8.79 	180.969% 	95.77% Positive decrease
 Czech Republic 	19.18 	16.00 	12.86 	11.48 	8.88 	9.32 	9.35 	8.52 	175.267% 	53.21% Positive decrease
 Mongolia 	4.36 	6.02 	3.77 	5.49 	7.01 	7.64 	7.86 	8.45 	173.836% 	140.31% Negative increase
 Cook Islands 	0.88 	2.24 	3.36 	4.46 	7.09 	7.66 	8.09 	8.37 	172.174% 	373.55% Negative increase
 Malaysia 	2.49 	3.57 	5.64 	7.67 	7.71 	7.78 	8.14 	8.30 	170.851% 	232.43% Negative increase
 Norway 	9.28 	8.55 	9.28 	9.82 	8.17 	8.20 	8.03 	7.86 	161.838% 	91.97% Positive decrease
 Poland 	9.47 	9.79 	8.12 	8.59 	7.82 	8.56 	8.41 	7.63 	156.941% 	77.90% Positive decrease
 Japan 	8.09 	9.37 	9.79 	9.49 	8.48 	8.60 	8.04 	7.54 	155.238% 	80.49% Positive decrease
 New Zealand 	5.28 	7.32 	8.52 	7.64 	7.29 	7.23 	7.04 	7.22 	148.683% 	98.67% Positive decrease
 Belgium 	14.46 	11.57 	12.15 	10.51 	7.94 	8.25 	7.66 	7.18 	147.687% 	62.00% Positive decrease
 Netherlands 	10.32 	11.02 	11.11 	11.16 	8.26 	8.49 	7.70 	7.09 	145.970% 	64.38% Positive decrease
 Germany 	13.80 	12.80 	10.70 	10.08 	7.78 	8.21 	7.99 	7.06 	145.334% 	55.15% Positive decrease
 Austria 	7.05 	7.97 	8.26 	8.77 	7.13 	7.52 	6.94 	6.65 	136.921% 	83.47% Positive decrease
 South Africa 	8.13 	8.37 	7.59 	9.00 	7.13 	7.22 	6.82 	6.56 	134.937% 	78.37% Positive decrease
 Ireland 	7.00 	9.06 	11.39 	8.84 	6.85 	7.18 	7.00 	6.50 	133.790% 	71.75% Positive decrease
 Falkland Islands 	1.47 	2.86 	2.50 	5.99 	5.89 	6.35 	6.17 	6.48 	133.467% 	227.03% Negative increase
 Slovakia 	9.67 	11.46 	7.72 	7.38 	5.98 	6.72 	6.52 	6.40 	131.726% 	55.83% Positive decrease
 Bosnia and Herzegovina 	3.07 	5.51 	3.79 	5.97 	6.44 	6.58 	6.52 	6.33 	130.283% 	114.98% Negative increase
 Serbia and Montenegro 	3.50 	6.53 	5.01 	6.31 	6.31 	6.23 	6.23 	6.08 	125.034% 	93.05% Positive decrease
 Maldives 	0.09 	0.43 	2.27 	2.89 	5.47 	5.66 	5.89 	6.00 	123.590% 	1407.69% Negative increase
 Bulgaria 	8.12 	9.05 	6.02 	6.69 	5.69 	6.64 	7.32 	5.86 	120.548% 	64.69% Positive decrease
 Bermuda 	2.65 	4.14 	2.35 	4.83 	5.20 	5.52 	5.54 	5.84 	120.238% 	140.97% Negative increase
 Cyprus 	3.53 	6.05 	7.56 	7.11 	5.63 	5.68 	5.87 	5.83 	120.004% 	96.36% Positive decrease
 Slovenia 	6.25 	7.47 	7.56 	8.39 	6.45 	6.61 	6.31 	5.81 	119.498% 	77.73% Positive decrease
 Belarus 	6.69 	10.33 	5.66 	6.98 	6.18 	6.24 	6.06 	5.79 	119.153% 	56.05% Positive decrease
 Finland 	8.94 	11.25 	11.09 	12.27 	7.07 	7.04 	6.44 	5.73 	117.862% 	50.89% Positive decrease
 Saint Pierre and Miquelon 	6.66 	14.49 	2.80 	5.75 	5.76 	5.53 	5.68 	5.73 	117.921% 	39.53% Positive decrease
 Cayman Islands 	2.79 	4.60 	3.15 	4.44 	4.78 	5.20 	5.22 	5.42 	111.645% 	117.93% Negative increase
 Italy 	5.88 	7.46 	7.94 	7.10 	5.00 	5.66 	5.65 	5.19 	106.871% 	69.56% Positive decrease
 Turkey 	1.30 	2.88 	3.59 	4.32 	5.04 	5.45 	5.10 	5.13 	105.631% 	178.36% Negative increase
 Aruba 	0.43 	3.23 	2.96 	4.74 	4.25 	4.68 	4.70 	4.91 	101.008% 	151.86% Negative increase
 Greece 	3.33 	7.60 	8.62 	7.78 	4.72 	4.89 	4.97 	4.69 	96.589% 	61.74% Positive decrease
 Spain 	4.25 	5.90 	7.66 	6.22 	4.71 	5.12 	5.07 	4.68 	96.398% 	79.41% Positive decrease
 Lithuania 	6.35 	9.50 	3.33 	4.49 	5.00 	5.05 	4.65 	4.66 	95.921% 	49.04% Positive decrease
 Hungary 	6.39 	6.97 	5.82 	5.27 	5.09 	5.24 	4.98 	4.61 	94.798% 	66.09% Positive decrease
 Denmark 	12.56 	10.20 	9.95 	8.74 	4.80 	5.05 	4.82 	4.56 	93.937% 	44.76% Positive decrease
 Hong Kong 	2.46 	6.06 	6.29 	6.01 	4.66 	4.62 	4.27 	4.51 	92.860% 	74.43% Positive decrease
 Chile 	2.97 	2.51 	3.53 	4.26 	4.74 	4.79 	4.74 	4.45 	91.673% 	177.56% Negative increase
 Suriname 	1.69 	2.69 	3.13 	3.32 	4.51 	4.47 	4.33 	4.45 	91.541% 	165.15% Negative increase
 Saint Helena, Ascension and Tristan da Cunha 	0.57 	1.72 	2.20 	2.75 	3.78 	3.98 	4.32 	4.44 	91.440% 	257.78% Negative increase
 United Kingdom 	12.10 	10.18 	9.36 	7.91 	4.74 	5.01 	4.81 	4.42 	90.897% 	43.37% Positive decrease
 Macau 	1.23 	2.76 	3.45 	3.20 	4.40 	4.24 	4.35 	4.42 	90.909% 	159.80% Negative increase
 Croatia 	4.93 	5.22 	4.38 	4.84 	4.19 	4.33 	4.29 	4.31 	88.778% 	82.60% Positive decrease
 Iraq 	2.35 	3.98 	3.77 	3.62 	4.11 	4.10 	4.36 	4.30 	88.477% 	108.14% Negative increase
 French Polynesia 	1.28 	4.30 	3.03 	3.69 	3.78 	3.94 	4.14 	4.27 	87.838% 	99.29% Positive decrease
 France 	9.23 	6.76 	6.73 	5.99 	4.37 	4.84 	4.69 	4.25 	87.536% 	62.88% Positive decrease
 North Macedonia 	5.29 	5.61 	4.44 	4.43 	3.63 	3.66 	4.01 	4.19 	86.302% 	74.80% Positive decrease
 Azerbaijan 	4.68 	7.75 	3.54 	2.95 	3.51 	3.68 	3.85 	4.14 	85.291% 	53.48% Positive decrease
 Israel 	3.75 	5.34 	6.42 	6.27 	4.38 	4.27 	4.31 	4.13 	84.983% 	77.38% Positive decrease
 Guyana 	2.13 	1.58 	2.21 	2.36 	4.21 	4.11 	4.16 	4.11 	84.689% 	260.60% Negative increase
 Bahamas 	8.51 	4.24 	3.35 	3.56 	3.53 	3.88 	3.86 	4.04 	83.103% 	95.29% Positive decrease
 Uzbekistan 	4.47 	6.25 	5.26 	4.74 	3.70 	3.97 	4.08 	4.01 	82.440% 	64.11% Positive decrease
 Algeria 	1.35 	2.78 	2.82 	3.28 	3.97 	4.09 	4.19 	3.99 	82.164% 	143.36% Negative increase
 Thailand 	0.49 	1.69 	2.78 	3.66 	3.95 	3.85 	3.97 	3.94 	81.049% 	233.65% Negative increase
 Argentina 	3.65 	3.06 	3.69 	4.30 	3.74 	4.15 	4.18 	3.93 	80.983% 	128.54% Negative increase
 Switzerland 	6.72 	6.71 	6.25 	5.92 	4.14 	4.30 	3.92 	3.87 	79.623% 	57.63% Positive decrease
 Malta 	2.13 	6.37 	5.38 	6.24 	3.73 	3.73 	4.04 	3.85 	79.342% 	60.51% Positive decrease
 Puerto Rico 	10.87 	5.41 	6.63 	3.61 	3.42 	3.47 	3.47 	3.80 	78.245% 	70.32% Positive decrease
 Romania 	6.17 	7.99 	4.40 	4.08 	3.90 	4.17 	3.96 	3.70 	76.224% 	46.33% Positive decrease
 Vietnam 	0.40 	0.30 	0.70 	1.77 	3.58 	3.44 	3.24 	3.69 	75.936% 	1223.21% Negative increase
 Portugal 	1.91 	4.42 	6.22 	5.01 	4.01 	3.85 	3.89 	3.58 	73.608% 	80.83% Positive decrease
 Latvia 	4.77 	7.36 	3.03 	4.19 	3.82 	3.96 	3.58 	3.56 	73.199% 	48.30% Positive decrease
 Mexico 	2.32 	3.39 	3.90 	4.07 	3.20 	3.35 	3.40 	3.52 	72.477% 	103.77% Negative increase
 Laos 	0.11 	0.06 	0.18 	0.47 	2.71 	3.28 	3.34 	3.49 	71.896% 	5775.00% Negative increase
 Sweden 	11.94 	6.67 	6.53 	5.63 	3.73 	3.91 	3.53 	3.43 	70.619% 	51.45% Positive decrease
 Georgia 	5.08 	6.37 	1.10 	1.49 	2.96 	3.12 	3.26 	3.33 	68.572% 	52.27% Positive decrease
 Mauritius 	0.37 	1.12 	2.06 	2.94 	2.95 	3.13 	3.17 	3.29 	67.752% 	293.05% Negative increase
 Panama 	1.71 	1.10 	1.71 	2.52 	2.24 	2.50 	2.72 	3.29 	67.704% 	299.03% Negative increase
 Ukraine 	10.13 	15.26 	7.37 	6.86 	4.56 	4.48 	3.21 	3.17 	65.318% 	20.79% Positive decrease
 Lebanon 	2.36 	2.21 	4.73 	4.76 	3.62 	2.83 	2.87 	3.00 	61.685% 	135.63% Negative increase
 Antigua and Barbuda 	1.53 	2.45 	1.62 	2.94 	2.62 	2.88 	2.86 	2.99 	61.575% 	121.92% Negative increase
 Botswana 	0.22 	2.05 	2.37 	1.67 	2.52 	2.68 	2.92 	2.93 	60.258% 	142.92% Negative increase
 Martinique 	0.66 	2.01 	1.74 	2.53 	2.02 	2.37 	2.70 	2.83 	58.344% 	140.99% Negative increase
 Réunion 	0.80 	1.51 	2.78 	3.19 	2.85 	2.83 	2.81 	2.81 	57.762% 	185.78% Negative increase
 Barbados 	1.07 	2.36 	2.18 	2.93 	2.34 	2.63 	2.64 	2.76 	56.704% 	116.52% Negative increase
 Dominican Republic 	0.86 	1.12 	2.22 	2.11 	2.42 	2.64 	2.62 	2.74 	56.453% 	244.86% Negative increase
 Turks and Caicos Islands 	0.58 	0.44 	0.94 	2.36 	2.38 	2.63 	2.57 	2.71 	55.841% 	621.28% Negative increase
 Armenia 	4.00 	5.87 	1.16 	1.49 	2.35 	2.55 	2.48 	2.63 	54.099% 	44.75% Positive decrease
 Guadeloupe 	0.58 	1.78 	1.45 	2.25 	2.49 	2.49 	2.49 	2.61 	53.620% 	146.25% Negative increase
 Tunisia 	0.84 	1.79 	2.18 	2.61 	2.41 	2.58 	2.51 	2.57 	52.985% 	143.47% Negative increase
 Ecuador 	0.83 	1.72 	1.75 	2.50 	2.06 	2.27 	2.37 	2.51 	51.749% 	146.36% Negative increase
 Moldova 	5.37 	7.29 	1.64 	2.08 	2.20 	2.41 	2.37 	2.50 	51.381% 	34.24% Positive decrease
 Uruguay 	1.93 	1.27 	1.68 	1.91 	1.97 	2.43 	2.48 	2.50 	51.439% 	197.36% Negative increase
 Venezuela 	5.09 	5.16 	5.62 	6.09 	2.18 	2.12 	2.29 	2.47 	50.745% 	47.74% Positive decrease
 North Korea 	5.27 	6.50 	3.22 	2.81 	2.67 	2.21 	2.28 	2.46 	50.571% 	37.78% Positive decrease
 Equatorial Guinea 	0.14 	0.17 	4.47 	6.01 	3.18 	3.00 	2.78 	2.44 	50.312% 	1467.83% Negative increase
 Indonesia 	0.27 	0.89 	1.41 	1.83 	2.18 	2.25 	2.37 	2.41 	49.594% 	270.24% Negative increase
 Fiji 	1.37 	1.39 	1.80 	1.97 	2.09 	2.18 	2.28 	2.35 	48.298% 	168.45% Negative increase
 Jamaica 	4.29 	3.16 	3.84 	2.72 	2.02 	2.21 	2.18 	2.34 	48.254% 	74.13% Positive decrease
 Bhutan 	0.12 	0.34 	0.71 	1.23 	2.08 	2.22 	2.26 	2.31 	47.490% 	684.06% Negative increase
 Egypt 	0.73 	1.59 	1.83 	2.52 	2.20 	2.39 	2.32 	2.31 	47.464% 	144.70% Negative increase
 Samoa 	0.46 	0.76 	1.08 	1.41 	2.04 	2.12 	2.23 	2.30 	47.262% 	302.52% Negative increase
 Jordan 	1.59 	2.83 	3.23 	2.87 	2.11 	2.16 	2.15 	2.25 	46.334% 	79.59% Positive decrease
 British Virgin Islands 	0.75 	1.11 	1.34 	2.59 	1.97 	2.16 	2.16 	2.21 	45.576% 	199.47% Negative increase
 Brazil 	1.12 	1.52 	1.99 	2.23 	2.09 	2.35 	2.21 	2.20 	45.284% 	144.83% Negative increase
 Gabon 	1.02 	6.48 	5.36 	3.63 	2.47 	2.34 	2.41 	2.16 	44.417% 	33.30% Positive decrease
 India 	0.39 	0.69 	0.95 	1.42 	1.68 	1.82 	1.94 	2.07 	42.678% 	300.37% Negative increase
 Saint Kitts and Nevis 	0.33 	0.51 	1.09 	1.92 	1.79 	1.93 	1.94 	2.05 	42.151% 	404.07% Negative increase
 Bolivia 	0.67 	0.96 	0.98 	1.49 	1.61 	1.86 	1.92 	1.98 	40.714% 	206.07% Negative increase
 Colombia 	1.31 	1.56 	1.55 	1.43 	1.61 	1.74 	1.80 	1.97 	40.512% 	126.51% Negative increase
 Tonga 	0.22 	0.94 	1.03 	1.21 	1.73 	1.80 	1.88 	1.95 	40.070% 	206.47% Negative increase
 Cuba 	2.51 	3.65 	2.60 	2.49 	1.88 	1.84 	1.81 	1.92 	39.466% 	52.49% Positive decrease
 Morocco 	0.43 	0.90 	1.16 	1.61 	1.82 	1.95 	1.85 	1.82 	37.522% 	202.01% Negative increase
 Cape Verde 	0.56 	0.16 	0.65 	1.50 	1.72 	1.73 	1.78 	1.71 	35.225% 	1089.27% Negative increase
 Peru 	1.31 	0.95 	1.12 	1.56 	1.43 	1.58 	1.67 	1.70 	34.924% 	177.70% Negative increase
 Costa Rica 	0.78 	0.94 	1.30 	1.59 	1.42 	1.58 	1.58 	1.66 	34.131% 	176.13% Negative increase
 Saint Lucia 	0.28 	0.51 	0.61 	1.05 	1.40 	1.55 	1.54 	1.62 	33.354% 	316.48% Negative increase
 Kyrgyzstan 	5.20 	5.41 	0.98 	1.22 	1.48 	1.65 	1.60 	1.60 	32.961% 	29.60% Positive decrease
 Albania 	2.25 	2.03 	1.04 	1.55 	1.55 	1.71 	1.56 	1.56 	32.069% 	76.94% Positive decrease
 Namibia 	0.95 	0.88 	1.03 	1.47 	1.44 	1.44 	1.52 	1.53 	31.398% 	173.19% Negative increase
 Anguilla 	0.34 	0.74 	1.40 	1.74 	1.49 	1.47 	1.46 	1.43 	29.529% 	195.17% Negative increase
 Philippines 	0.74 	0.69 	0.95 	0.91 	1.24 	1.31 	1.33 	1.41 	28.993% 	204.95% Negative increase
 Grenada 	0.12 	0.53 	0.56 	1.13 	1.11 	1.24 	1.22 	1.29 	26.459% 	243.79% Negative increase
 El Salvador 	0.44 	0.49 	0.99 	1.09 	1.03 	1.16 	1.21 	1.27 	26.219% 	258.16% Negative increase
 Syria 	1.00 	2.65 	2.80 	2.98 	1.35 	1.30 	1.24 	1.19 	24.530% 	44.95% Positive decrease
 Republic of the Congo 	1.32 	0.98 	1.40 	1.21 	1.30 	1.20 	1.29 	1.18 	24.317% 	120.92% Negative increase
 French Guiana 	1.90 	2.22 	1.07 	1.40 	1.19 	1.17 	1.14 	1.17 	24.094% 	52.65% Positive decrease
 Guatemala 	0.44 	0.42 	0.83 	0.80 	0.99 	1.11 	1.08 	1.13 	23.237% 	267.20% Negative increase
 Paraguay 	0.26 	0.52 	0.69 	0.84 	1.12 	1.25 	1.13 	1.13 	23.227% 	218.03% Negative increase
 Honduras 	0.45 	0.48 	0.77 	0.97 	0.91 	1.00 	1.03 	1.08 	22.165% 	226.57% Negative increase
 Dominica 	0.11 	0.30 	0.80 	1.08 	0.91 	0.99 	1.01 	1.05 	21.626% 	349.36% Negative increase
 Cambodia 	0.03 	0.05 	0.16 	0.36 	0.99 	0.99 	1.01 	1.03 	21.274% 	2145.57% Negative increase
 Sri Lanka 	0.25 	0.24 	0.61 	0.67 	1.05 	1.07 	0.94 	0.97 	19.864% 	394.72% Negative increase
 Tajikistan 	2.78 	2.33 	0.45 	0.40 	0.99 	0.97 	0.93 	0.93 	19.133% 	39.86% Positive decrease
 São Tomé and Príncipe 	0.19 	0.34 	0.40 	0.71 	0.80 	0.80 	0.90 	0.92 	18.910% 	271.67% Negative increase
 Eswatini 	0.50 	1.28 	1.03 	0.71 	0.80 	0.85 	0.91 	0.92 	18.961% 	71.81% Positive decrease
 Vanuatu 	0.88 	0.70 	0.46 	0.66 	0.85 	0.88 	0.91 	0.92 	18.952% 	131.79% Negative increase
 Pakistan 	0.31 	0.61 	0.81 	0.91 	1.07 	1.12 	1.01 	0.91 	18.800% 	149.89% Negative increase
 Mauritania 	0.29 	0.35 	0.39 	0.59 	0.94 	0.94 	0.95 	0.90 	18.549% 	259.10% Negative increase
 Nicaragua 	0.69 	0.47 	0.75 	0.81 	0.74 	0.80 	0.83 	0.87 	17.835% 	182.86% Negative increase
 Saint Vincent and the Grenadines 	0.12 	0.27 	0.39 	0.89 	0.74 	0.82 	0.82 	0.87 	17.853% 	319.71% Negative increase
 Angola 	1.32 	0.92 	1.00 	0.97 	0.63 	0.75 	0.78 	0.78 	16.091% 	84.73% Positive decrease
 Kiribati 	0.37 	0.23 	0.39 	0.59 	0.70 	0.72 	0.75 	0.76 	15.668% 	327.57% Negative increase
 Ghana 	0.27 	0.21 	0.32 	0.46 	0.72 	0.80 	0.77 	0.74 	15.225% 	345.61% Negative increase
 Djibouti 	4.46 	1.65 	1.03 	0.96 	0.73 	0.78 	0.73 	0.72 	14.813% 	43.66% Positive decrease
 Bangladesh 	0.05 	0.14 	0.20 	0.40 	0.60 	0.68 	0.72 	0.71 	14.681% 	512.99% Negative increase
 Belize 	0.49 	0.67 	0.56 	0.72 	0.55 	0.61 	0.63 	0.66 	13.613% 	98.76% Positive decrease
 Senegal 	0.32 	0.31 	0.40 	0.54 	0.63 	0.69 	0.68 	0.65 	13.300% 	206.47% Negative increase
 Papua New Guinea 	0.45 	0.50 	0.53 	0.60 	0.68 	0.62 	0.64 	0.64 	13.216% 	127.92% Negative increase
 Zimbabwe 	1.84 	1.71 	1.19 	0.71 	0.51 	0.59 	0.59 	0.62 	12.848% 	36.51% Positive decrease
 Solomon Islands 	0.41 	0.51 	0.57 	0.68 	0.57 	0.58 	0.60 	0.61 	12.603% 	119.56% Negative increase
 Myanmar 	0.18 	0.11 	0.22 	0.17 	0.63 	0.58 	0.58 	0.59 	12.230% 	544.63% Negative increase
 Nigeria 	0.51 	0.79 	0.82 	0.60 	0.59 	0.62 	0.60 	0.58 	11.843% 	72.99% Positive decrease
 Nepal 	0.02 	0.06 	0.14 	0.18 	0.54 	0.54 	0.56 	0.57 	11.828% 	990.05% Negative increase
 Ivory Coast 	0.50 	0.24 	0.42 	0.36 	0.50 	0.54 	0.54 	0.51 	10.525% 	211.09% Negative increase
 Benin 	0.11 	0.08 	0.23 	0.55 	0.71 	0.52 	0.52 	0.49 	10.101% 	615.35% Negative increase
 Timor-Leste 	0.00 	0.00 	0.26 	0.30 	0.47 	0.47 	0.49 	0.48 	9.821% 	20747.27% Negative increase
 Western Sahara 	1.13 	0.69 	0.81 	0.53 	0.33 	0.39 	0.42 	0.41 	8.514% 	60.04% Positive decrease
 Zambia 	0.89 	0.38 	0.19 	0.21 	0.40 	0.40 	0.39 	0.40 	8.136% 	104.80% Negative increase
 Cameroon 	0.13 	0.41 	0.37 	0.39 	0.40 	0.38 	0.40 	0.38 	7.919% 	94.81% Positive decrease
 Kenya 	0.33 	0.28 	0.28 	0.33 	0.36 	0.39 	0.38 	0.38 	7.794% 	137.06% Negative increase
 Lesotho 	0.07 	0.07 	0.19 	0.26 	0.33 	0.34 	0.36 	0.36 	7.504% 	538.19% Negative increase
 Comoros 	0.10 	0.10 	0.17 	0.23 	0.38 	0.38 	0.35 	0.34 	7.061% 	359.64% Negative increase
 Sudan 	0.25 	0.22 	0.18 	0.38 	0.38 	0.39 	0.35 	0.34 	7.042% 	158.45% Negative increase
 Yemen 	0.26 	0.59 	0.88 	1.12 	0.38 	0.37 	0.35 	0.34 	6.958% 	57.35% Positive decrease
 Haiti 	0.11 	0.16 	0.20 	0.26 	0.30 	0.30 	0.29 	0.30 	6.197% 	187.28% Negative increase
 Liberia 	0.69 	0.18 	0.14 	0.20 	0.30 	0.31 	0.31 	0.30 	6.130% 	166.72% Negative increase
 Mali 	0.04 	0.04 	0.07 	0.13 	0.32 	0.32 	0.32 	0.30 	6.188% 	798.99% Negative increase
 Malawi 	0.08 	0.16 	0.27 	0.30 	0.26 	0.30 	0.28 	0.29 	6.020% 	179.70% Negative increase
 Mozambique 	0.34 	0.09 	0.09 	0.15 	0.25 	0.28 	0.29 	0.28 	5.706% 	316.14% Negative increase
 Togo 	0.16 	0.20 	0.25 	0.39 	0.26 	0.29 	0.29 	0.28 	5.705% 	139.07% Negative increase
 Tanzania 	0.12 	0.08 	0.09 	0.16 	0.27 	0.30 	0.28 	0.28 	5.813% 	345.11% Negative increase
 Burkina Faso 	0.04 	0.04 	0.08 	0.13 	0.26 	0.28 	0.28 	0.26 	5.435% 	713.09% Negative increase
 Guinea 	0.11 	0.16 	0.17 	0.23 	0.26 	0.26 	0.26 	0.25 	5.150% 	159.86% Negative increase
 Gambia 	0.18 	0.13 	0.22 	0.26 	0.26 	0.25 	0.26 	0.24 	4.996% 	181.98% Negative increase
 Afghanistan 	0.16 	0.24 	0.05 	0.27 	0.19 	0.20 	0.21 	0.21 	4.409% 	89.79% Positive decrease
 Guinea-Bissau 	0.06 	0.17 	0.16 	0.20 	0.17 	0.17 	0.17 	0.16 	3.322% 	96.84% Positive decrease
 Ethiopia 	0.04 	0.05 	0.06 	0.08 	0.15 	0.15 	0.14 	0.14 	2.848% 	304.38% Negative increase
 Madagascar 	0.12 	0.08 	0.11 	0.09 	0.11 	0.14 	0.14 	0.14 	2.818% 	174.94% Negative increase
 Chad 	0.04 	0.04 	0.03 	0.04 	0.13 	0.13 	0.15 	0.14 	2.981% 	367.20% Negative increase
 Uganda 	0.10 	0.05 	0.06 	0.11 	0.14 	0.16 	0.14 	0.14 	2.866% 	292.55% Negative increase
 Sierra Leone 	0.13 	0.15 	0.10 	0.11 	0.13 	0.13 	0.13 	0.13 	2.590% 	85.91% Positive decrease
 Eritrea 	0.19 	0.11 	0.20 	0.12 	0.12 	0.13 	0.12 	0.12 	2.371% 	108.94% Negative increase
 Rwanda 	0.02 	0.08 	0.08 	0.07 	0.11 	0.13 	0.12 	0.12 	2.427% 	154.31% Negative increase
 Niger 	0.05 	0.08 	0.06 	0.09 	0.10 	0.11 	0.11 	0.10 	2.154% 	134.77% Negative increase
 Central African Republic 	0.04 	0.05 	0.07 	0.05 	0.06 	0.06 	0.07 	0.07 	1.445% 	129.84% Negative increase
 Burundi 	0.02 	0.04 	0.05 	0.04 	0.07 	0.07 	0.07 	0.06 	1.332% 	174.86% Negative increase
 Somalia 	0.17 	0.08 	0.07 	0.07 	0.06 	0.06 	0.05 	0.05 	1.015% 	58.12% Positive decrease
 Democratic Republic of the Congo 	0.15 	0.10 	0.04 	0.05 	0.04 	0.04 	0.04 	0.04 	0.797% 	39.77% Positive decrease
 Faroe Islands 	0.02 	0.03 	0.04 	0.04 	0.04 	0.04 	0.04 	0.04 	0.849% 	123.59% Negative increase
United Nations Global Average 	4.26 	4.26 	4.19 	4.89 	4.64 	4.84 	4.81 	4.86 	100.000% 	114.17% Negative increase
 European Union 	9.12 	9.07 	8.32 	7.75 	5.95 	6.39 	6.21 	5.66 	116.573% 	62.47% Positive decrease

[muppet]

Mystery again - Hong Kong has 1/3 the average US carbon imprint, yet is listed as highest in the world in the other graphs

[Doady]

Wow, very good job, USA, although progress seems to have stagnated ever since Biden took office.

I would say good job to Netherlands as well, but no longer being the second worst in the world isn't exactly a high bar to clear.

Is the carbon tax in Canada really working? These numbers would be very useful to Pierre Poilievre. Don't show him Ukraine's numbers though...

[mousquet]

Originally Posted by Doady

Wow, very good job, USA, although progress seems to have stagnated ever since Biden took office.

It might rather be the aftermath of Trump's administration policy. I didn't hear the Dems advocate any coal mining revival in the US, while Trump did it.
It's only a matter of priority. Trump seems to think anything is good enough to boost the economy, while some others would rather enforce some restrictions to push environmentally-friendly development further.

They have to suggest a reliable plan to coal workers anyway, if there's still any in the US.
I think there are still some coal mines in a couple of states. I'd seen a report about that in West Virginia or some place. Workers were worried about their future, so the Dems would have to bring an answer to their well-founded concerns.

[isaidso]

Originally Posted by Doady

I would say good job to Netherlands as well, but no longer being the second worst in the world isn't exactly a high bar to clear.

That's Netherlands Antilles not the Netherlands.

[biguc]

Originally Posted by muppet

Mystery again - Hong Kong has 1/3 the average US carbon imprint, yet is listed as highest in the world in the other graphs

It has to be the shipping. That's why Singapore is up there too.

That said, I'd expect worse from Panama. But I don't know how well this model localizes emissions to where they actually happen as much as it assigns responsibility for emissions that may be happening elsewhere.