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srs_fac_us_electricity by Spatial Risk Systems

Name: srs_fac_us_electricity
Brand: Spatial Risk Systems
SKU: SRS-00101
Price: 9999.99 USD
Availability: InStock

Category: altdata , main_tax_category ,

Product Type: altdata

Region:

Industry: Consumer Discretionary , Consumer Staples , Energy , Financials , Health Care , Industrials , Information Technology , Materials , Real Estate , Telecommunication Services , Utilities ,

Asset Classes: ADRs , Commodity , Crypto , Equity , ETFs , Fixed Income , Futures , FX , Options , Options on Futures ,

Data Frequency: week

Quantity must be 1 or more

Dataset Name: srs_fac_us_electricity

Group: altdata
Vendor: Spatial Risk Systems
Data Starts at: 2010-01-01 00:00:00
Symbol Set: US Equities
Asset Class: Equity, ADRs, ETFs,Fixed Income,Options,FX,Futures,Crypto,Commodity,Options on Futures
Data Update Frequency: week

Facility Level Datasets

Facility Locations by Sector/Classification (Power, Energy, Superfund Sites, etc..)

srs_fac_us_electricity
srs_fac_us_energy
srs_fac_us_sfs - Super Fund Sites
Datasets can be generated for dozens of sectors and industries ie...

Facility-level data includes:

Location
Sector/industry Classification
Corporate Ownership (where currently available)
Toxic Release
GHG Emissions
EPA Inspection Reports

Investable Universe:

US Municipal Finance ESG/Sustainable Investing Corporate Fixed Income/Equities Insurance/Reinsuracne Real Estate/Property Development

Dataset Asset Classes:

Equities - Stocks, ADRs, ETFs etc;Fixed Income

Data Update Frequency:

Weekly/Monthly

Date Range

Sample datasets are for one day 2022/10/04

Full Datasets go back to 2010/01/01

About Spatial Risk Systems

SRS is an innovative data and analytics company focused on building a playing field level data base enabling institutions to accurately assess risks and opportunities at the underlying asset locations of their investment, transaction, and operating activities.

Founded by data science leaders from the financial sector, SRS quantifies risk by unifying, standardizing, and analyzing empirical data sources, helping investors to better understand ESG and sustainable investing outcomes, from a facility to a large-scale geographic perspective.

Spatial Risk Systems created and operates a massive cloud-based data management infrastructure hosting hundreds of complex data sets with billions of interconnected data records.

The technical architecture, operations and information governance policies of the SRS data management platform have been established by the team of seasoned industry professionals with combined 100 years of experience designing and operating commercial data products.

Particular attention has been given to ensure content integrity by applying the stringent system of quality controls on each of the steps of data collection, ingest and transformation. The SRS team has implemented sound operational resilience, data access and security practices to ensure integrity and effective performance.

Spatial Risk Systems (SRS) has engineered a massive cloud-based data network connecting and standardizing fact-based spatial-level data sources into a single publishing solution.

Spatial Risk Scores measures and quantifies hundreds of location-specific factors that can have a long-term effect on asset value, environmental impact, operational effectiveness, and social sustainability.

10 Different Spatial Layers:

Census Tract
Postal Code
City
School District
County
Congressional District
State
Core-Based Statistical Areas (CBSA)
Corporate
Municipal Revenue Authorities

Five Major Data Dimensions:

1) Climate

18 Natural Disaster Risks
Expected Annual Losses (EAL)
1.5 million+ Weather Events and Impacts

2) Environmental

Scope I Carbon Emissions
Toxic Releases
Air and Water Quality Measures

3) Socio-Economic

Community Vulnerability-Related Factors
Community Resiliency-Related Factors

4) Carbon Emissions/Accounting

Scope I
Scope II
Social Costs of Carbon

5) Facility Location, Function, and Ownership

Scope 1 - direct emissions

Scope 1 (direct) emissions are an immediate product of entity activities such as energy generated by burning fossil or other organic fuels, fuels used for transportation, cement production, etc.

Scope 2 - indirect emissions

Scope 2 emissions (indirect) result from energy consumption, heating and cooling, food preparation, and other needs.

Data Contained in this Dataset

Column	Type	Description
_seq	uint	Internal sequence number used to keep data rows in order
timestamp	string	Timestamp of the Data (underlying field is nc_publish_date_actual)
muts	uint64	Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps. (underlying field is nc_publish_date_actual)
symbol	string	Trading Symbol
ISO	string	ISO
Entity Name	string	Entity Name
Latitude	double	Latitude
Longitude	double	Longitude
Tax II Code	string	Tax II Code
Tax II	string	Tax II
Tax III Code	string	Tax III Code
Tax III	string	Tax III
Tax IV Code	string	Tax IV Code
Tax IV	string	Tax IV
Street	string	Street
Census Tract ID	double	Census Tract ID
Census Tract	double	Census Tract
Tract Code	double	Tract Code
City ID	double	City ID
City GEOID	double	City GEOID
City	string	City
County ID	int64	County ID
County FIPS	double	County FIPS
County	string	County
State ID	int64	State ID
State FIPS	double	State FIPS
State	string	State
Postal Code	int64	Postal Code
Parent ID	int64	Parent ID
Parent Name	string	Parent Name
Ult ID	int64	Ult ID
Ult Name	string	Ult Name
2015 Net MW	double	2015 Net MW
2016 Net MW	double	2016 Net MW
2017 Net MW	double	2017 Net MW
2018 Net MW	double	2018 Net MW
2019 Net MW	double	2019 Net MW
2020 Net MW	double	2020 Net MW
2016 MW/GHG	double	2016 MW/GHG
2017 MW/GHG	double	2017 MW/GHG
2018 MW/GHG	double	2018 MW/GHG
2019 MW/GHG	double	2019 MW/GHG
2020 MW/GHG	double	2020 MW/GHG
2011 GHG	double	2011 GHG
2012 GHG	double	2012 GHG
2013 GHG	double	2013 GHG
2014 GHG	double	2014 GHG
2015 GHG	double	2015 GHG
2016 GHG	double	2016 GHG
2017 GHG	double	2017 GHG
2018 GHG	double	2018 GHG
2019 GHG	double	2019 GHG
2020 GHG	double	2020 GHG
EPA Major Facility	string	EPA Major Facility
EPA Active Facility	string	EPA Active Facility
Last Inspection Date	string	Last Inspection Date
Last Inspection Date by EPA	string	Last Inspection Date by EPA
Last Inspection Date by State Agency	string	Last Inspection Date by State Agency
Inspection Count	double	Inspection Count
Days Since Last Inspection	double	Days Since Last Inspection
Informal Action Count	double	Informal Action Count
Last Informal Action Date	string	Last Informal Action Date
Last Informal Action Date by EPA	string	Last Informal Action Date by EPA
Last Informal Action Data by State Agency	string	Last Informal Action Data by State Agency
Formal Action Count	double	Formal Action Count
Last Formal Action Date	string	Last Formal Action Date
Last Formal Action Date by EPA	string	Last Formal Action Date by EPA
Last Formal Action Date by State Agency	string	Last Formal Action Date by State Agency
Total Penalties USD	double	Total Penalties USD
Facility Penalty Count	double	Facility Penalty Count
Facility Last Penalty Date	string	Facility Last Penalty Date
Facility Last Penalty Amount USD	double	Facility Last Penalty Amount USD
Facility # of Qtrs w/Non-Compliance	double	Facility # of Qtrs w/Non-Compliance
Facility Significant Non-Compliance Flag	string	Facility Significant Non-Compliance Flag
Facility 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation	string	Facility 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation
Facility has a Toxic Release Inventory (TRI)	string	Facility has a Toxic Release Inventory (TRI)
Facility was a Previous Toxic Release Inventory (TRI) Reporter	string	Facility was a Previous Toxic Release Inventory (TRI) Reporter
Total TRI Releases in Lbs for latest Reporting Year	double	Total TRI Releases in Lbs for latest Reporting Year
Total TRI Releases in Lbs Kept Onsite for latest Reporting Year	double	Total TRI Releases in Lbs Kept Onsite for latest Reporting Year
Total TRI Releases in Lbs Transferred Offsite for latest Reporting Year	double	Total TRI Releases in Lbs Transferred Offsite for latest Reporting Year
Facility has Greenhouse Gas (GHG) Reporting Tool ID	string	Facility has Greenhouse Gas (GHG) Reporting Tool ID
GHG Emissions in Metric Tons for latest Reporting Year	double	GHG Emissions in Metric Tons for latest Reporting Year
Facility has a Clean Air Permit Flag	string	Facility has a Clean Air Permit Flag
Clean Air Act (CAA) Evaluation Count	double	Clean Air Act (CAA) Evaluation Count
Facility is a CAA High Priority Violator	string	Facility is a CAA High Priority Violator
CAA 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation	string	CAA 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation
CAA Day since Last Evaluation	double	CAA Day since Last Evaluation
CAA Informal Action Count	double	CAA Informal Action Count
CAA Formal Action Count	double	CAA Formal Action Count
CAA Date of Last Formal Action	string	CAA Date of Last Formal Action
CAA Date of Last Penalty	string	CAA Date of Last Penalty
CAA Last Penalty Amount USD	double	CAA Last Penalty Amount USD
CAA Qtrs w/Non-Compliance	double	CAA Qtrs w/Non-Compliance
CAA Compliance Status	string	CAA Compliance Status
Facility has NPDES - National Pollutant Discharge Elimination System Permit	string	Facility has NPDES - National Pollutant Discharge Elimination System Permit
Clean Water Act (CWA) Inspection Count	double	Clean Water Act (CWA) Inspection Count
CWA Significant Non-Complinace Flag	string	CWA Significant Non-Complinace Flag
CWA 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation	string	CWA 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation
CWA Days since Last Inspection	double	CWA Days since Last Inspection
CWA Informal Action Count	double	CWA Informal Action Count
CWA Formal Action Count	double	CWA Formal Action Count
CWA Date of Last Formal Action	string	CWA Date of Last Formal Action
CWA Last Penalty Date	string	CWA Last Penalty Date
CWA Last Penalty Amount USD	double	CWA Last Penalty Amount USD
CWA Qtrs w/Non-Compliance	double	CWA Qtrs w/Non-Compliance
CWA Complinace Status	string	CWA Complinace Status
CWA The number of effluent exceedance violations for Past 13 Qtrs	double	CWA The number of effluent exceedance violations for Past 13 Qtrs
Facility has RCRA - Resource Conservation and Recovery Act Permit	string	Facility has RCRA - Resource Conservation and Recovery Act Permit
RCRA Inspection Count	double	RCRA Inspection Count
RCRA Significant Non-Compliance Flag	string	RCRA Significant Non-Compliance Flag
RCRA 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation	string	RCRA 3 yr Compliance History S=Serious Violation, V=Violation, U=Unknown, _=No Violation
RCRA Days since Last Evaluation	double	RCRA Days since Last Evaluation
RCRA Informal Action Count	double	RCRA Informal Action Count
RCRA formal Action Count	double	RCRA formal Action Count
RCRA Data of Last Formal Action	string	RCRA Data of Last Formal Action
RCRA Data of Last Penalty	string	RCRA Data of Last Penalty
RCRA Last Penaly Amount USD	double	RCRA Last Penaly Amount USD
RCRA Qtrs w/Non-Compliance	double	RCRA Qtrs w/Non-Compliance
RCRA Compliance Status	string	RCRA Compliance Status
Facility has SDWA - Safe Drinking Water Information System Permit	string	Facility has SDWA - Safe Drinking Water Information System Permit
SDWA System Types	string	SDWA System Types
SDWA Significant Non-Compliance Flag	string	SDWA Significant Non-Compliance Flag
SDWA Informal Action Count	double	SDWA Informal Action Count
SDWA Formal Action Count	double	SDWA Formal Action Count
SDWA Compliance Status	string	SDWA Compliance Status

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at sales@CloudQuant.com. The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.