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2016 - Cities Emissions Reduction Targets
| Row number | Organisation | Account No | Country | City Short Name | C40 | Reporting Year | Sector | Target boundary | Baseline year | Baseline emissions (metric tonnes CO2e) | Percentage reduction target | Target date | Comment | City Location | Country Location |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 201 | Changwon City | 31186 | South Korea | Changwon | C40 | 2016 | Total | Carbon Reduction Ratio by GHG Sources Industrial 30.7% Domestic 14.8% Commercial 5.8% Transportation 20.9% Wastes 1.5% Agriculture, Livestocks 6.2% Others 20.2% | 2005 | 7501126 | 30 | 2020 | The total reduction amount will be reached 3,102,145tCO2eq. | (35.154167°, 126.949167°) | (35.907757°, 127.766922°) |
| 202 | City of Melbourne | 31109 | Australia | Melbourne | C40 | 2016 | Total | - Electricity - Gas - Transport - Waste | 2008 | 4934000 | 100 | 2020 | We have a Zero Net Emissions by 2020 Strategy for the municipality. | (-37.814107°, 144.96328°) | (-25.274398°, 133.775136°) |
| 203 | City of Sydney | 31114 | Australia | Sydney | C40 | 2016 | Total | Emissions from sources: electricity, gas, transportation and waste within the operational boundary of City of Sydney | 2006 | 4536712 | 70 | 2030 | Baseline emissions were calculated based on GPC BASIC methodology | (-33.8674869°, 151.2069902°) | (-25.274398°, 133.775136°) |
| 204 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Other: Commercial | Administrative boundary of a local government | 2005 | 3350000 | 7 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 205 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Other: Industries | Administrative boundary of a local government | 2005 | 2950000 | 8 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 206 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Other: Energy Industries | Administrative boundary of a local government | 2005 | 3680000 | 4 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 207 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Transport | Administrative boundary of a local government | 2005 | 4340000 | 50 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 208 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Waste | Administrative boundary of a local government | 2005 | 430000 | 2 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 209 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Other: 5 gases other than CO2 | Administrative boundary of a local government | 2005 | 410000 | 22 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 210 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2016 | Total | Administrative boundary of a local government | 2005 | 19540000 | 16 | 2020 | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | |
| 211 | Seoul Metropolitan Government | 31187 | South Korea | Seoul | C40 | 2016 | Transport | Transportation, Citizen's cultural place etc. | 2005 | 49467000 | 25 | 2020 | One Less Nuclear Power Plant | (37.566535°, 126.9779692°) | (35.907757°, 127.766922°) |
| 212 | Singapore Government | 35993 | Singapore | Singapore | C40 | 2016 | Total | Total GHG (nation-wide) | 2020 | 77.2 | 11 | 2020 | 7 to 11% reduction (unconditional) from 2020 Business-as-usual (BAU) emissions 16% reduction (conditional of global deal) from 2020 Business-as-usual (BAU) emissions | (1.352083°, 103.819836°) | (1.352083°, 103.819836°) |
| 213 | Tokyo Metropolitan Government | 31111 | Japan | Tokyo | C40 | 2016 | Total | 2000 | 62100000 | 30 | 2030 | TMG also set energy efficiency targets industrial and Commercial sector 30% Residential sector 30% Transportation 60% Total 38% | (35.6896342°, 139.6921007°) | (36.204824°, 138.252924°) | |
| 214 | Tokyo Metropolitan Government | 31111 | Japan | Tokyo | C40 | 2016 | Other: Industrial and Commercial sector | 2000 | 25700000 | 20 | 2030 | (35.6896342°, 139.6921007°) | (36.204824°, 138.252924°) | ||
| 215 | Tokyo Metropolitan Government | 31111 | Japan | Tokyo | C40 | 2016 | Other: Residential sector | 2000 | 14300000 | 20 | 2030 | (35.6896342°, 139.6921007°) | (36.204824°, 138.252924°) | ||
| 216 | Tokyo Metropolitan Government | 31111 | Japan | Tokyo | C40 | 2016 | Transport | 2000 | 17600000 | 60 | 2030 | (35.6896342°, 139.6921007°) | (36.204824°, 138.252924°) | ||
| 217 | Ansan City | 44191 | South Korea | Ansan | 2016 | Total | City hall, ward office, businesses, community service center buildings and cars. (scope 1 + scope 2) | 2010 | 20 | 2015 | do not wish to disclose baseline emissions | (37.321878°, 126.830885°) | (35.907757°, 127.766922°) | ||
| 218 | Auckland Council | 43932 | New Zealand | Auckland | C40 | 2016 | Total | City-wide | 1990 | 8760000 | 10 | 2020 | Baseline emissions need to be updated. | (-36.815328°, 174.741788°) | (-40.900557°, 174.885971°) |
| 219 | Auckland Council | 43932 | New Zealand | Auckland | C40 | 2016 | Total | City-wide | 1990 | 8760000 | 40 | 2040 | Baseline emissions need to be updated. | (-36.815328°, 174.741788°) | (-40.900557°, 174.885971°) |
| 220 | Auckland Council | 43932 | New Zealand | Auckland | C40 | 2016 | Total | City-wide | 1990 | 8760000 | 50 | 2050 | Baseline emissions need to be updated. | (-36.815328°, 174.741788°) | (-40.900557°, 174.885971°) |
| 221 | Canberra | 43928 | Australia | Canberra | 2016 | Total | all | 1990 | 3185500 | 40 | 2020 | Baseline emissions subject to change should in event of methodology change | (-35.3075°, 149.1244°) | (-25.274398°, 133.775136°) | |
| 222 | Canberra | 43928 | Australia | Canberra | 2016 | Total | all | 1990 | 3185500 | 100 | 2050 | Baseline emissions subject to change should in event of methodology change | (-35.3075°, 149.1244°) | (-25.274398°, 133.775136°) | |
| 223 | City Government of Makati | 54354 | Philippines | Makati | 2016 | Transport | Pedestrian Improvement and creation of elevated pathways | 2011 | 48000 | 42 | 2020 | Figures in the 4th column entails the reduction effort in tCO2e in 10 years time. Baseline emission is the Total emission of 1.6 tCO2e. | (14.559004°, 121.081632°) | (12.879721°, 121.774017°) | |
| 224 | City Government of Makati | 54354 | Philippines | Makati | 2016 | Other | Trees planted | 2011 | 7000 | 13 | 2020 | Figures in the 4th column entails the reduction effort in tCO2e in 10 years time. Baseline emission is the Total emission of 1.6 tCO2e. | (14.559004°, 121.081632°) | (12.879721°, 121.774017°) | |
| 225 | City of Adelaide | 32480 | Australia | Adelaide | 2016 | Total | All emissions relating to the municipality. | 100 | 2025 | Target = zero net carbon emissions by 2025 (so there is no baseline year). | (-34.928499°, 138.600746°) | (-25.274398°, 133.775136°) | |||
| 226 | City of Adelaide | 32480 | Australia | Adelaide | 2016 | Total | All emissions relating to the municipality. | 2007 | 411000 | 35 | 2020 | (-34.928499°, 138.600746°) | (-25.274398°, 133.775136°) | ||
| 227 | City of Nagoya | 35902 | Japan | Nagoya | 2016 | Total | 市民・事業者における排出源等、算定分野全て | 1990 | 17390000 | 25 | 2020 | (35.181446°, 136.906398°) | (36.204824°, 138.252924°) | ||
| 228 | City of Okayama | 55179 | Japan | Okayama | 2016 | Other | 1990 | 6104000 | 4.2 | 2020 | (34.655146°, 133.919502°) | (36.204824°, 138.252924°) | |||
| 229 | City of Perth | 43934 | Australia | Perth | 2016 | Total | 2006 | 965000 | 30 | 2031 | (56.394994°, -3.430838°) | (-25.274398°, 133.775136°) | |||
| 230 | Gwangyang City | 44295 | South Korea | Gwangyang | 2016 | Total | Scope 1 + Scope 2 | 2008 | 3666 | 20 | 2015 | GHG/Energy Target Management Scheme for public affairs | (34.940697°, 127.695888°) | (35.907757°, 127.766922°) | |
| 231 | Hongcheon County | 51105 | South Korea | Hongcheon | 2016 | Transport | Transportation | 2013 | 1143582 | 33 | 2020 | (37.696952°, 127.888683°) | (35.907757°, 127.766922°) | ||
| 232 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Total | Corporation and residential department, industrial department, transportation, energy and waste, and agriculture and forestry. | 2011 | 10739613 | 5 | 2020 | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 233 | Hsinchu County Government | 54390 | Taiwan | Hsinchu | 2016 | Total | Corporation and residential department, industrial department, transportation, energy and waste, and agriculture and forestry. | 2011 | 10739613 | 10 | 2025 | (24.8269°, 121.0129°) | (23.69781°, 120.960515°) | ||
| 234 | Kaohsiung City Government | 31112 | Taiwan | Kaohsiung | 2016 | Total | Kaohsiung City | 2005 | 64339200 | 20 | 2020 | Chu Chen, Mayor of Kaohsiung City had set up short term GHG reduction target, decreasing 20% by 2020 compared with the emissions in 2005. Therefore, city has to build up its future BAU for comparison with baseline emissions, to estimate how many should city reduce in order to reach the target. | (22.629705°, 120.343804°) | (23.69781°, 120.960515°) | |
| 235 | New Taipei City Government | 56276 | Taiwan | New Taipei | 2016 | Total | Administrative boundary of a local government | 2006 | 18487331 | 0 | 2016 | (25.0111°, 121.4458°) | (23.69781°, 120.960515°) | ||
| 236 | New Taipei City Government | 56276 | Taiwan | New Taipei | 2016 | Total | Administrative boundary of a local government | 2008 | 19122376 | 20 | 2026 | (25.0111°, 121.4458°) | (23.69781°, 120.960515°) | ||
| 237 | Pingtung County Government | 57347 | Taiwan | Pingtung | 2016 | Total | All emissions within the municipality boundary | 2013 | 4600000 | 30 | 2030 | Pingtung County set up the GHG emission reduction goal, decreasing 30% by 2030 compared with the emission in 2013. | (22.551976°, 120.54876°) | (23.69781°, 120.960515°) | |
| 238 | Suwon City | 44185 | South Korea | Suwon | 2016 | Total | Suwon total emissions | 2005 | 601495 | 5 | (37.2635727°, 127.0286009°) | (35.907757°, 127.766922°) | |||
| 239 | Suwon City | 44185 | South Korea | Suwon | 2016 | Total | Suwon total emissions | 2005 | 601495 | 20 | (37.2635727°, 127.0286009°) | (35.907757°, 127.766922°) | |||
| 240 | Suwon City | 44185 | South Korea | Suwon | 2016 | Total | Suwon total emissions | 2005 | 601495 | 40 | (37.2635727°, 127.0286009°) | (35.907757°, 127.766922°) | |||
| 241 | Taipei City Government | 31446 | Taiwan | Taipei City | 2016 | Total | All city | 2008 | 16546253 | 0 | 2020 | (25.037525°, 121.563782°) | (23.69781°, 120.960515°) | ||
| 242 | Taipei City Government | 31446 | Taiwan | Taipei City | 2016 | Total | All city | 2005 | 16132003 | 25 | 2030 | (25.037525°, 121.563782°) | (23.69781°, 120.960515°) | ||
| 243 | Taipei City Government | 31446 | Taiwan | Taipei City | 2016 | Total | All city | 2005 | 16132003 | 50 | 2050 | (25.037525°, 121.563782°) | (23.69781°, 120.960515°) | ||
| 244 | Taoyuan City Hall | 54395 | Taiwan | Taoyuan | 2016 | Total | Taoyuan City | 2005 | 30474326 | 50 | 2050 | In accordance with Central Government policy | (24.993628°, 121.30098°) | (23.69781°, 120.960515°) | |
| 245 | Uljin County | 50716 | South Korea | Uljin | 2016 | 2009 | 230497 | 20 | 2015 | (36.993066°, 129.400419°) | (35.907757°, 127.766922°) | ||||
| 246 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Total | City | 2001 | 1310705 | 10 | 2020 | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | ||
| 247 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Total | City | 2001 | 1310705 | 40 | 2030 | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | ||
| 248 | Wellington City Council | 43937 | New Zealand | Wellington | 2016 | Total | City | 2001 | 1310705 | 65 | 2050 | (26.661763°, -80.268357°) | (-40.900557°, 174.885971°) | ||
| 249 | Batangas City | 59996 | Philippines | Batangas | 2016 | Total | 2010 | 457288 | 25 | 2016 | (13.756465°, 121.058308°) | (12.879721°, 121.774017°) | |||
| 250 | Metropolitan Municipality of Lima | 31170 | Peru | Lima | C40 | 2016 | Transport | Lima metropolitana | 2015 | 10 | 2016 | En el PEI del Instituto Metropolitano de Protransporte de Lima, tiene como indicador de reducción del 10% de las emisiones que emiten el transporte público. | (-12.046374°, -77.042793°) | (-9.189967°, -75.015152°) |
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Description
Emissions reduction targets for all reporting cities in 2015. Includes baseline emissions, baseline year, percentage reduction target, and other details. Some cities report multiple targets.
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