VITAL SIGNS INDICATOR Greenhouse Gas Emissions (EN3) FULL MEASURE NAME Greenhouse gas emissions from primary sources LAST UPDATED August 2017 DESCRIPTION Greenhouse gas emissions refer to carbon dioxide and other chemical compounds that contribute to global climate change. Vital Signs tracks greenhouse gas emissions linked to consumption from the three largest sources in the region: surface transportation, electricity consumption, and natural gas consumption. This measure helps track progress towards achieving regional greenhouse gas reduction targets, including the region's per-capita greenhouse gas target for surface transportation under Senate Bill 375. This dataset includes emissions estimates on the regional and county levels. DATA SOURCE California Energy Commission: Retail Fuel Outlet Annual Reporting 2010-2012, 2015 Form CEC-A15 http://www.energy.ca.gov/almanac/transportation_data/gasoline/piira_retail_survey.html Energy Information Administration: CO2 Conversion Data 2015 conversion purposes only; consistent over time http://www.eia.gov/tools/faqs/faq.cfm?id=307&t=11 California Energy Commission: Electricity Consumption by County 2003-2015 http://www.ecdms.energy.ca.gov/elecbycounty.aspx Pacific Gas & Electric Company: Greenhouse Gas Emission Factors 2003-2013 audited by the Climate Registry; conversion purposes only https://www.pge.com/includes/docs/pdfs/shared/environment/calculator/pge_ghg_emission_factor_info_sheet.pdf Pacific Gas & Electric Company: Greenhouse Gas Emission Factors 2014-2015 audited by the Climate Registry; conversion purposes only http://www.pgecurrents.com/2017/02/09/pge-cuts-carbon-emissions-with-clean-energy-2/ California Energy Commission: Natural Gas Consumption by County 1990-2015 http://www.ecdms.energy.ca.gov/gasbycounty.aspx Pacific Gas & Electric Company: Climate Footprint Calculator 2015 conversion purposes only; consistent over time https://www.pge.com/includes/docs/pdfs/about/environment/calculator/assumptions.pdf California Department of Finance: Population and Housing Estimates 1990-2015 http://www.dof.ca.gov/research/demographic/ CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY NOTES (across all datasets for this indicator) For surface transportation, the dataset is based on a survey of fueling stations, the vast majority of which respond to the survey; the Energy Commission corrects for non-response bias by imputing the remaining share of fuel sales. Note that 2014 data was excluded to data abnormalities for several counties in the region; methodology improvements in 2012 affected estimated by +/- 5% according to CEC estimates. For years 2013 and 2014, a linear trendline assumption was used instead between 2012 and 2015 data points. Greenhouse gas emissions are calculated based on the gallons of gasoline and diesel sales, relying upon standardized Energy Information Administration conversion rates for E10 fuel (gasoline with 10% ethanol) and standard diesel. Per-capita greenhouse gas emissions are calculated simply by dividing emissions attributable to fuel sold in that county by the total number of county residents; there may be a slight bias in the data given that a fraction of fuel sold in a given county may be purchased by non-residents. For electricity consumption, the dataset is based on electricity consumption data for the nine Bay Area counties; note that this is different than electricity production as the region imports electricity. Because such data is not disaggregated by utility provider, a simple assumption is made that electricity consumed has the greenhouse gas emissions intensity (on a kilowatt-hour basis) of Pacific Gas & Electric, the primary electricity provider in the Bay Area. For this reason, with the small but growing market share of low- and zero-GHG community choice aggregation (CCA) providers, the greenhouse gas emissions estimate in more recent years may be slightly overestimated. Per-capita greenhouse gas emissions are calculated simply by dividing emissions attributable to fuel sold in that county by the total number of county residents; data is disaggregated between residential and non-residential customers. For natural gas consumption, the dataset is based on natural gas consumption data for the nine Bay Area counties; note that this is different than natural gas production as the region imports electricity. Certain types of liquefied natural gas shipped into the region or "makegas" produced at oil refineries during their production process may not be fully reflected in this data. Therms are converted to metric tons of greenhouse gas emissions using standardized assumptions that align with federal guidance. Per-capita greenhouse gas emissions are calculated simply by dividing emissions attributable to fuel sold in that county by the total number of county residents; data is disaggregated between residential and non-residential customers.
This dataset has the following 26 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| Region | region | text | Bay Area view top 100 | |
| Year | year | number | 2000 2012 2011 2003 1998 view top 100 | |
| GHG_Transport_Gasoline_metrictons | ghg_transport_gasoline_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 21307846 21569817 21700802 20153036 21438832 view top 100 |
| GHG_Transport_Diesel_metrictons | ghg_transport_diesel_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 1600537 1360287 1739273 1319682 1461801 view top 100 |
| GHG_Transport_metrictons | ghg_transport_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector across all customers | 23162604 23170354 23185855 22539821 21472718 view top 100 |
| GHG_NaturalGas_NonResidential_metrictons | ghg_naturalgas_nonresidential_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 9455882 10485487 10968334 10810713 7986875 view top 100 |
| GHG_NaturalGas_Residential_metrictons | ghg_naturalgas_residential_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 5852452 8158553 8006271 8373706 7230644 view top 100 |
| GHG_NaturalGas_metrictons | ghg_naturalgas_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector across all customers | 14039269 16368587 17177900 17349796 19552080 view top 100 |
| GHG_Electricity_NonResidential_metrictons | ghg_electricity_nonresidential_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 10183008 10126798 7839921 7823360 7839390 view top 100 |
| GHG_Electricity_Residential_metrictons | ghg_electricity_residential_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 3094684 4621100 2953000 4263228 4731833 view top 100 |
| GHG_Electricity_metrictons | ghg_electricity_metrictons | number | Total metric tons of greenhouse gas emissions associated with a given sector across all customers | 14512342 11107234 9890744 11254111 16494351 view top 100 |
| GHG_Total_metrictons | ghg_total_metrictons | number | Total metric tons of greenhouse gas emissions for all key sectors across all customers | 51681271 50606916 50414650 49699875 52198336 view top 100 |
| Population | population | number | 7300094 6150405 6330094 7150739 6964364 view top 100 | |
| PC_GHG_Transport_Gasoline_metrictons | pc_ghg_transport_gasoline_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 2.92 2.93 2.97 2.82 2.81 view top 100 |
| PC_GHG_Transport_Diesel_metrictons | pc_ghg_transport_diesel_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 0.23 0.22 0.2 0.19 0.25 view top 100 |
| PC_GHG_Transport_metrictons | pc_ghg_transport_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector across all customers | 3.06 3 3.17 3.12 3.1 view top 100 |
| PC_GHG_NaturalGas_NonResidential_metrictons | pc_ghg_naturalgas_nonresidential_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 1.48 1.38 1.42 1.59 1.73 view top 100 |
| PC_GHG_NaturalGas_Residential_metrictons | pc_ghg_naturalgas_residential_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 1.04 1.18 1.35 0.78 1.02 view top 100 |
| PC_GHG_NaturalGas_metrictons | pc_ghg_naturalgas_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector across all customers | 2.9 2.4 2.48 2.75 2.45 view top 100 |
| PC_GHG_Electricity_NonResidential_metrictons | pc_ghg_electricity_nonresidential_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 1.39 1.2 0.95 1.03 1.05 view top 100 |
| PC_GHG_Electricity_Residential_metrictons | pc_ghg_electricity_residential_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector and a given customer type | 0.6 0.67 0.66 0.4 0.45 view top 100 |
| PC_GHG_Electricity_metrictons | pc_ghg_electricity_metrictons | number | Per-capita metric tons of greenhouse gas emissions associated with a given sector across all customers | 1.52 2.03 1.45 1.46 2.11 view top 100 |
| PC_GHG_Total_metrictons | pc_ghg_total_metrictons | number | Per-capita metric tons of greenhouse gas emissions for all key sectors across all customers | 6.98 6.99 6.76 6.56 7.15 view top 100 |
| Source1 | source1 | text | CEC_2015 view top 100 | |
| Source2 | source2 | text | PGE_2015 view top 100 | |
| Source3 | source3 | text | DOF_2017 view top 100 |