May 1, 2008

MEMORANDUM

TO:	Patricia Mercer, EPA

FROM:	Maribelle Rodríguez, Earl Harris, Jonathan Cohen, and Nina
Perlman

CC:	Rachel Alford, EPA

SUBJECT:	Phase II Lab Rule Data Analyses;

	Work Assignment No. 1-25, Contract No. EP-W-07-003

Under Task 2 of the referenced work assignment, ICF is providing
technical support to the U.S. Environmental Protection Agency (EPA) in
the development of data to be used in support of the Final Rulemaking
for “Standards Applicable to Generators of Hazardous Waste; Subpart K
– Standards Applicable to Academic Laboratories,” also known as the
“Lab Rule.”  Specifically, ICF is providing support in analyzing
hazardous waste generation activities of large quantity generators
(LQGs), small quantity generators (SQGs), and conditionally-exempt small
quantity generators (CESQGs) in the following categories:

Colleges and universities (CUs);

Teaching hospitals affiliated with a CU; and

Non-profit research institutes affiliated with a CU.

As agreed during our March 18, 2008 meeting, ICF is providing the
results of the Lab Rule data analyses in two phases:

Phase I

CU LQGs

CU SQGs

CU CESQGs

Teaching Hospitals Affiliated with a CU - LQGs

Non-Profit Research Institutes Affiliated with a CU - LQGs

Phase II

Teaching Hospitals Affiliated with a CU - SQGs

Teaching Hospitals Affiliated with a CU - CESQGs

Non-Profit Research Institutes Affiliated with a CU - SQGs

Non-Profit Research Institutes Affiliated with a CU - CESQGs

This memorandum presents the results of the “Phase II” data
analyses.  Section 1 identifies the key data sources used in the
analyses.  Section 2 describes the methodology and results associated
with each of the analyses.  Note that the data generated through
implementation of the methodologies have been provided in the
spreadsheets that accompany this memorandum.

Please do not hesitate to contact us with questions or comments.

Key Data Sources

In performing the analyses, we used the following key data sources:

The most recent version of the 2005 Biennial Report (BR) Database (dated
October 19, 2007) and the associated database documentation (dated
October 31, 2007).

RCRAInfo “Hhandler2” table (dated March 6, 2008), which was
downloaded by ICF from EPA’s ftp site (  HYPERLINK
"ftp://ftp.epa.gov/rcrainfodata/rcra_flatfiles/"
ftp://ftp.epa.gov/rcrainfodata/rcra_flatfiles/ ) on March 21, 2008.

RCRAInfo “Hnaics” table (dated March 6, 2008), which was downloaded
by ICF from EPA’s ftp site (  HYPERLINK
"ftp://ftp.epa.gov/rcrainfodata/rcra_flatfiles/"
ftp://ftp.epa.gov/rcrainfodata/rcra_flatfiles/ ) on March 21, 2008.

RCRAInfo “Howner_operator2” table (dated March 6, 2008), which was
downloaded by ICF from EPA’s ftp site (  HYPERLINK
"ftp://ftp.epa.gov/rcrainfodata/rcra_flatfiles/"
ftp://ftp.epa.gov/rcrainfodata/rcra_flatfiles/ ) on April 22, 2008.

Toxics Release Inventory (TRI) data for reporting year 2005.  These data
files were provided to ICF by EPA’s Office of Environmental
Information on February 8, 2008.  They contain 2005 TRI data frozen as
of October 19, 2007.

Methodology and Results

Teaching Hospitals Affiliated with a College or University – Small
Quantity Generators

Methodology

Following are the steps we undertook to identify Teaching Hospitals
Affiliated with a CU - SQGs and estimate the quantity of hazardous
wastes they generated in 2005:

Identify SQGs

Created a list of off-site shippers and the quantity of hazardous wastes
they shipped using data reported in Waste Received from Offsite (WR)
Forms of the 2005 BR.  This list includes the EPA ID and the quantity of
waste shipped.

Eliminated from the list aggregate ID numbers.  An “aggregate ID” is
an ID number used to identify waste received from sites that do not have
an EPA ID number.  For example, the aggregate ID may consist of the
State two-letter abbreviation followed by “SQG.”  For purposes of
this methodology, aggregate ID numbers are EPA ID numbers that include
the word “CESQ,” “CEG,” “SQG,” or “exempt” (e.g.,
ILVSQG, NCSQG EXEMPT).  Because we cannot identify the sites represented
by an aggregate ID number or determine whether an aggregate ID number
represents one or more sites, we excluded aggregate ID numbers from the
rest of the analysis.

Eliminated from the list sites that submitted a Site ID Form as part of
their 2005 BR indicating they were not a SQG.

Eliminated from the list all sites that shipped 13.22 tons or more of
hazardous wastes in 2005.  We assumed that these sites qualified as
LQGs.  An LQG is a facility that generates 1,000 kilograms or more of
hazardous waste in a calendar month.  Because the determination is based
on monthly generation, we had to make an assumption about annual
generation.  For purposes of this methodology, an LQG is a facility that
generates a minimum of 12,000 kilograms of hazardous waste in a calendar
year (i.e., 1,000 kilograms/month x 12 months/year).  This quantity
translates into 13.22 tons per year (i.e., 12,000 kilograms/year x
0.001102 tons/kilogram).

Eliminated from the list all sites that generated 1.32 tons or less of
hazardous wastes in 2005.  We assumed that these sites qualified as
CESQGs.  A CESQG is a facility that generates 100 kilograms or less of
hazardous waste in a calendar month.  Because the determination is based
on monthly generation, we had to make an assumption about annual
generation.  For purposes of this methodology, a CESQG is a facility
that generates a maximum of 1,200 kilograms of hazardous waste in a
calendar year.  This quantity translates into 1.32 tons per year.

Added to the list SQGs that submitted Site ID Forms as part of their
2005 BR, but who were not included in WR Forms.  For these sites, we
obtained information on the quantity of waste generated from Generation
and Management (GM) Forms of the 2005 BR, if available.

Created a list of SQGs based on the most recent information source for
each site in the RCRAInfo “Hhandler2” table (e.g., 3010
notifications, Part A permits).  This list includes the EPA ID, site
name, and primary NAICS code, if available.  Primary NAICS codes were
obtained from the RCRAInfo “Hnaics” table.

Merged the two lists to create list of unique SQGs.  This list includes
EPA ID, site name, generator status, primary NAICS code, and waste
quantity, based on availability of the information.

Supplemented site information in the list of unique SQGs by referring to
the RCRAInfo “Hhandler2” table and 2005 TRI data files.  This
information includes the site name and primary NAICS code.

Identify Teaching Hospitals Affiliated with a CU - SQGs

Excluded sites for which site information is not available, since we
were not going to be able to determine whether these sites are Teaching
Hospitals Affiliated with a CU - SQGs.

Identified Hospital SQGs based on primary NAICS codes.  For purposes of
this methodology, Hospitals are those sites represented by the following
NAICS codes:

NAICS Code(s)	NAICS Code Description

54194, 541940	Veterinary Services (Animal Hospitals)

622	Hospitals

6221, 62211, 622110	General Medical and Surgical Hospitals

6222, 62221, 622210	Psychiatric and Substance Abuse Hospitals

6223, 62231, 622310	Specialty (except Psychiatric and Substance Abuse)
Hospitals

Conducted a key word search on the list of names of sites that were not
categorized as Hospitals based on primary NAICS code in order to
identify additional Hospital SQGs.  In identifying the additional
Hospital SQGs, we used the following key words:  "hospital," "medical
center," "medical ctr," “health,” "health center," "health system,"
and "health care system."

Reviewed list of site names to determine whether the Hospital SQGs are
Teaching Hospitals Affiliated with a CU.  In conducting this review, we
identified Hospital SQGs that:  (1) appear to be associated with a CU
based on their site name (e.g., Brookdale University Hospital) and/or
(2) are included in the list of teaching hospitals developed by the
Association of American Medical Colleges (available at   HYPERLINK
"http://services.aamc.org/memberlistings/index.cfm?fuseaction=home.searc
h&search_type=TH&state_criteria=ALL"
http://services.aamc.org/memberlistings/index.cfm?fuseaction=home.search
&search_type=TH&state_criteria=ALL ).  We “flagged” these sites in
the database.

Excluded Hospital SQGs that are not Teaching Hospitals Affiliated with a
CU from the rest of the analysis, based on information compiled under
Step M.

Compiled the following waste stream information for Teaching Hospitals
Affiliated with a CU - SQGs from WR or GM Forms of the 2005 BR:

Quantity of waste shipped/generated;

Source code (GM Form only);

Waste form code;

Waste codes representing the waste stream;

ICFCode; and

Waste description.

The ICFCode is a single, mutually exclusive hazardous waste code
assigned to waste streams.  The ICFCode was created to help avoid double
counting of waste quantities for waste streams with multiple hazardous
waste codes.  The logic used to define these waste code groups is
presented in Attachment A.

Included hazardous wastes generated at CU SQG medical centers and
hospitals.  (These wastes were excluded from the CU SQG analysis; see
Step N under the CU SQG analysis.)  Wastes are considered CU SQG medical
center and hospital wastes if they were generated by a site presented by
any of the NAICS codes representing a CU, have the word “hospital,”
“medical,” “medical center,” and/or “clinic” in the waste
description field, and/or have the word “hospital,” “medical,”
“medical center,” and/or “health center” in the site name.

Excluded waste streams for which the quantity of waste generated is
equal to zero.

Excluded remediation wastes generated by Teaching Hospitals Affiliated
with a CU - SQGs, since these wastes are not generated as a result of
routine activities at a site.  Wastes are considered “remediation
wastes” if they:

Have the word “remediation," “cleanup," “clean-up," “media,"
and/or “soil” in the waste description field; or

Are represented by source codes G41 through G49.

Source Code	Source Code Description

G41	Closure of hazardous waste management unit under RCRA

G42	Corrective action at a solid waste management unit under RCRA

G43	Remedial action or emergency response under Superfund

G44	State program or voluntary cleanup

G45	Underground storage tank cleanup

G49	Other remediation (specify in comments)

Estimated the total quantity of hazardous wastes generated by Teaching
Hospitals Affiliated with a CU - SQGs.

Estimated the quantity of photo laboratory wastes generated by Teaching
Hospitals Affiliated with a CU - SQGs.  Wastes are considered “photo
laboratory wastes” if they have the word “photo,” “dark room,”
“X-ray,” and/or “X ray” in the waste description field.

Estimated the quantity of other types of laboratory wastes generated by
Teaching Hospitals Affiliated with a CU - SQGs.  Wastes are considered
“other laboratory wastes” if they:

Have the word “lab” and/or “research” in the waste description
field; or

Are represented by source codes G09, G11, or G22.  If the source code is
G09, the waste form code must indicate lab packs (i.e., W001 or W004).

Source Code	Source Code Description

G09	Other production or service-related processes from which the waste
is a direct outflow or result (specify in comments)

G11	Discarding off-specification or out-of-date chemicals or products
(unused chemicals or products - corresponds to P and U hazardous waste
codes)

G22	Laboratory analytical wastes (used chemicals from laboratory
operations)

Estimated the quantity of construction and debris (C&D) wastes generated
by Teaching Hospitals Affiliated with a CU - SQGs.  Wastes are
considered “C&D wastes” if they have the word “debris,"
“construction,” and/or “demolition" in the waste description
field.

Estimated the quantity of “other wastes” generated by Teaching
Hospitals Affiliated with a CU - SQGs.  The quantity of “other
wastes” was estimated by subtracting the quantity of photo laboratory
wastes, other laboratory wastes, and C&D wastes from the total quantity
of hazardous wastes generated by Teaching Hospitals Affiliated with a
CU - SQGs.

Created list of Teaching Hospitals Affiliated with a CU - SQGs whose
hazardous waste generation data are available.  This list includes the
EPA ID number, site name, primary NAICS code, and waste quantity
information.

Created list of Teaching Hospitals Affiliated with a CU - SQGs whose
hazardous waste generation data are not available.  This list includes
the EPA ID number, site name, and primary NAICS code, if available.

Results

Exhibits B-1 through B-4 present the results for the data analysis on
Teaching Hospitals Affiliated with a CU – SQGs:

Exhibit B-1 presents a list of the 202 Teaching Hospitals Affiliated
with a CU - SQGs whose hazardous waste generation data are available.
The exhibit also presents data on hazardous waste generation quantities
for each of these sites.

Exhibit B-2 presents the number of generators and total quantity of
laboratory waste, by source code, for Teaching Hospitals Affiliated with
a CU – SQGs.  The exhibit only includes the 103 sites whose hazardous
laboratory waste generation data are available.

Exhibit B-3 presents the number of generators and total quantity of
laboratory waste, by waste code group (i.e., ICFCode), for Teaching
Hospitals Affiliated with a CU - SQGs.  The exhibit only includes the
103 sites whose hazardous laboratory waste generation data are
available.

Exhibit B-4 presents a list of the 33 Teaching Hospitals Affiliated with
a CU – SQGs whose hazardous waste generation data are not available.

Key observations from this analysis include:

Hazardous waste generation data were available for 202 Teaching
Hospitals Affiliated with a CU – SQGs.  Of these sites, 103 generated
hazardous laboratory wastes in 2005.  These wastes accounted for
approximately 18 percent of the total quantity of hazardous wastes
generated by Teaching Hospitals Affiliated with a CU - SQGs in 2005.

Hazardous waste generation data were not available for 33 Teaching
Hospitals Affiliated with a CU – SQGs.

Teaching Hospitals Affiliated with a College or University –
Conditionally Exempt Small Quantity Generators

Methodology

Following are the steps we undertook to identify Teaching Hospitals
Affiliated with a CU - CESQGs and estimate the quantity of hazardous
wastes they generated in 2005:

Identify CESQGs

Created a list of off-site shippers and the quantity of hazardous wastes
they shipped using data reported in WR Forms of the 2005 BR.  This list
includes the EPA ID and the quantity of waste shipped.

Eliminated from the list aggregate ID numbers.  An “aggregate ID” is
an ID number used to identify waste received from sites that do not have
an EPA ID number.  For example, the aggregate ID may consist of the
State two-letter abbreviation followed by “CESQG.”  For purposes of
this methodology, aggregate ID numbers are EPA ID numbers that include
the word “CESQ,” “CEG,” “SQG,” or “exempt” (e.g.,
AKCESQG, PAEXEMPT).  Because we cannot identify the sites represented by
an aggregate ID number or determine whether an aggregate ID number
represents one or more sites, we excluded aggregate ID numbers from the
rest of the analysis.

Eliminated from the list sites that submitted a Site ID Form, as part of
their 2005 BR, indicating they were not a CESQG.

Eliminated from the list sites that shipped 13.22 tons or more of
hazardous wastes in 2005.  We assumed that these sites qualified as
LQGs.  An LQG is a facility that generates 1,000 kilograms or more of
hazardous waste in a calendar month.  Because the determination is based
on monthly generation, we had to make an assumption about annual
generation.  For purposes of this methodology, an LQG is a facility that
generates a minimum of 12,000 kilograms of hazardous waste in a calendar
year (i.e., 1,000 kilograms/month x 12 months/year).  This quantity
translates into 13.22 tons per year (i.e., 12,000 kilograms/year x
0.001102 tons/kilogram).

Eliminated from the list sites that generated between 1.32 tons and
13.22 tons of hazardous wastes in 2005.  We assumed that these sites
qualified as SQGs.  An SQG is a facility that generates greater than 100
kilograms and less than 1,000 kilograms of hazardous waste in a calendar
month.  Because the determination is based on monthly generation, we had
to make an assumption about annual generation.  For purposes of this
methodology, an SQG is a facility that generates between 1,200 and
12,000 kilograms of hazardous waste in a calendar year.  This translates
into 1.32 tons to 13.22 tons per year.

Added to the list CESQGs that submitted Site ID Forms as part of their
2005 BR, but who were not included in WR Forms.  For these sites, we
obtained information on the quantity of waste generated from GM Forms of
the 2005 BR, if available.

Created a list of CESQGs based on the most recent information source for
each site in the RCRAInfo “Hhandler2” table (e.g., 3010
notifications, Part A permits).  This list includes the EPA ID, site
name, and primary NAICS code, if available.  Primary NAICS codes were
obtained from the RCRAInfo “Hnaics” table.

Merged the two lists to create list of unique CESQGs.  This list
includes EPA ID, site name, generator status, primary NAICS code, and
waste quantity, based on availability of the information.

Supplemented site information in the list of unique CESQGs by referring
to the RCRAInfo “Hhandler2” table and 2005 TRI data files.  This
information includes the site name and primary NAICS code.

Identify Teaching Hospitals Affiliated with a CU - CESQGs

Excluded sites for which site information is not available, since we
were not going to be able to determine whether these sites are Teaching
Hospitals Affiliated with a CU - CESQGs.

Identified Hospital CESQGs based on primary NAICS codes.  For purposes
of this methodology, Hospitals are those sites represented by the
following NAICS codes:

NAICS Code(s)	NAICS Code Description

54194, 541940	Veterinary Services (Animal Hospitals)

622	Hospitals

6221, 62211, 622110	General Medical and Surgical Hospitals

6222, 62221, 622210	Psychiatric and Substance Abuse Hospitals

6223, 62231, 622310	Specialty (except Psychiatric and Substance Abuse)
Hospitals

Conducted a key word search on the list of names of sites that were not
categorized as Hospitals based on primary NAICS code in order to
identify additional Hospital CESQGs.  In identifying the additional
Hospital CESQGs, we used the following key words:  "hospital," "medical
center," "medical ctr," “health,” "health center," "health system,"
and "health care system."

Reviewed list of site names to determine whether the Hospital CESQGs are
Teaching Hospitals Affiliated with a CU.  In conducting this review, we
identified Hospital CESQGs that:  (1) appear to be associated with a CU
based on their site name (e.g., University of Minnesota Community
HealthCare) and/or (2) are included in the list of teaching hospitals
developed by the Association of American Medical Colleges (available at
 HYPERLINK
"http://services.aamc.org/memberlistings/index.cfm?fuseaction=home.searc
h&search_type=TH&state_criteria=ALL"
http://services.aamc.org/memberlistings/index.cfm?fuseaction=home.search
&search_type=TH&state_criteria=ALL ).  We “flagged” these sites in
the database.

Excluded Hospital CESQGs that are not Teaching Hospitals Affiliated with
a CU from the rest of the analysis, based on information compiled under
Step M.

Compiled the following waste stream information for Teaching Hospitals
Affiliated with a CU - CESQGs from WR or GM Forms of the 2005 BR:

Quantity of waste shipped/generated;

Source code (GM Form only);

Waste form code;

Waste codes representing the waste stream;

ICFCode; and

Waste description.

The ICFCode is a single, mutually exclusive hazardous waste code
assigned to waste streams.  The ICFCode was created to help avoid double
counting of waste quantities for waste streams with multiple hazardous
waste codes.  The logic used to define these waste code groups is
presented in Attachment A.

Included hazardous wastes generated at CU CESQG medical centers and
hospitals.  (These wastes were excluded from the CU CESQG analysis; see
Step N under the CU CESQG analysis.)  Wastes are considered CU CESQG
medical center and hospital wastes if they were generated by a site
presented by any of the NAICS codes representing a CU, have the word
“hospital,” “medical,” “medical center,” and/or “clinic”
in the waste description field, and/or have the word “hospital,”
“medical,” “medical center,” and/or “health center” in the
site name.

Excluded waste streams for which the quantity of waste generated is
equal to zero.

Excluded remediation wastes generated by Teaching Hospitals Affiliated
with a CU - CESQGs, since these wastes are not generated as a result
of routine activities at a site.  Wastes are considered “remediation
wastes” if they:

Have the word “remediation," “cleanup," “clean-up," “media,"
and/or “soil” in the waste description field; or

Are represented by source codes G41 through G49.

Source Code	Source Code Description

G41	Closure of hazardous waste management unit under RCRA

G42	Corrective action at a solid waste management unit under RCRA

G43	Remedial action or emergency response under Superfund

G44	State program or voluntary cleanup

G45	Underground storage tank cleanup

G49	Other remediation (specify in comments)

Estimated the total quantity of hazardous wastes generated by Teaching
Hospitals Affiliated with a CU - CESQGs.

Estimated the quantity of photo laboratory wastes generated by Teaching
Hospitals Affiliated with a CU - CESQGs.  Wastes are considered
“photo processing wastes” if they have the word “photo,” “dark
room,” “X-ray,” and/or “X ray” in the waste description field.

Estimated the quantity of other types of laboratory wastes generated by
Teaching Hospitals Affiliated with a CU - CESQGs.  Wastes are
considered “other laboratory wastes” if they:

Have the word “lab” and/or “research” in the waste description
field; or

Are represented by source codes G09, G11, or G22.  If the source code is
G09, the waste form code must indicate lab packs (i.e., W001 or W004).

Source Code	Source Code Description

G09	Other production or service-related processes from which the waste
is a direct outflow or result (specify in comments)

G11	Discarding off-specification or out-of-date chemicals or products
(unused chemicals or products - corresponds to P and U hazardous waste
codes)

G22	Laboratory analytical wastes (used chemicals from laboratory
operations)

Estimated the quantity of C&D wastes generated by Teaching Hospitals
Affiliated with a CU - CESQGs.  Wastes are considered “C&D wastes”
if they have the word “debris," “construction,” and/or
“demolition" in the waste description field.

Estimated the quantity of “other wastes” generated by Teaching
Hospitals Affiliated with a CU - CESQGs.  The quantity of “other
wastes” was estimated by subtracting the quantity of photo laboratory
wastes, other laboratory wastes, and C&D wastes from the total quantity
of hazardous wastes generated by Teaching Hospitals Affiliated with a
CU - CESQGs.

Created list of Teaching Hospitals Affiliated with a CU - CESQGs whose
hazardous waste generation data are available.  This list includes the
EPA ID number, site name, primary NAICS code, and waste quantity
information.

Created list of Teaching Hospitals Affiliated with a CU - CESQGs whose
hazardous waste generation data are not available.  This list includes
the EPA ID number, site name, and primary NAICS code, if available.

Results

Exhibits B-5 through B-7 present the results for the data analysis on
Teaching Hospitals Affiliated with a CU – CESQGs:

Exhibit B-5 presents a list of the 38 Teaching Hospitals Affiliated with
a CU - CESQGs whose hazardous waste generation data are available.
The exhibit also presents data on hazardous waste generation quantities
for each of these sites.

Exhibit B-6 presents the number of generators and total quantity of
laboratory waste, by waste code group (i.e., ICFCode), for Teaching
Hospitals Affiliated with a CU - CESQGs.  The exhibit only includes
the 14 sites whose hazardous laboratory waste generation data are
available.

Exhibit B-7 presents a list of the 70 Teaching Hospitals Affiliated with
a CU - CESQGs whose hazardous waste generation data are not available.

Note that, because hazardous waste generation data for Teaching
Hospitals Affiliated with a CU - CESQGs were obtained from WR Forms,
information on source codes is not available.  Therefore, a table
presenting information on number of generators and total quantity of
hazardous laboratory waste by source code was not developed for Teaching
Hospitals Affiliated with a CU – CESQGs

Key observations from this analysis include:

Hazardous waste generation data were available for 38 Teaching Hospitals
Affiliated with a CU - CESQGs.  Of these sites, 14 generated hazardous
laboratory wastes in 2005.  These wastes accounted for approximately 17
percent of the total quantity of hazardous wastes generated by Teaching
Hospitals Affiliated with a CU – CESQGs in 2005.

Hazardous waste generation data were not available for 70 Teaching
Hospitals Affiliated with a CU – CESQGs.

Non-Profit Research Institute Affiliated with a College or University -
Small Quantity Generator

Methodology

Following the steps we undertook to identify Non-Profit Research
Institutes Affiliated with a CU - SQGs and estimate the quantity of
hazardous wastes they generated in 2005:

Identify SQGs

Created a list of off-site shippers and the quantity of hazardous wastes
they shipped using data reported in WR Forms of the 2005 BR.  This list
includes the EPA ID and the quantity of waste shipped.

Eliminated from the list aggregate ID numbers.  An “aggregate ID” is
an ID number used to identify waste received from sites that do not have
an EPA ID number.  For example, the aggregate ID may consist of the
State two-letter abbreviation followed by “SQG.”  For purposes of
this methodology, aggregate ID numbers are EPA ID numbers that include
the word “CESQ,” “CEG,” “SQG,” or “exempt” (e.g.,
ILVSQG, NCSQG EXEMPT).  Because we cannot identify the sites represented
by an aggregate ID number or determine whether an aggregate ID number
represents one or more sites, we excluded aggregate ID numbers from the
rest of the analysis.

Eliminated from the list sites that submitted a Site ID Form, as part of
their 2005 BR, indicating they were not a SQG.

Eliminated from the list all sites that shipped 13.22 tons or more of
hazardous wastes in 2005.  We assumed that these sites qualified as
LQGs.  An LQG is a facility that generates 1,000 kilograms or more of
hazardous waste in a calendar month.  Because the determination is based
on monthly generation, we had to make an assumption about annual
generation.  For purposes of this methodology, an LQG is a facility that
generates a minimum of 12,000 kilograms of hazardous waste in a calendar
year (i.e., 1,000 kilograms/month x 12 months/year).  This quantity
translates into 13.22 tons per year (i.e., 12,000 kilograms/year x
0.001102 tons/kilogram).

Eliminated from the list all sites that generated 1.32 tons or less of
hazardous wastes in 2005.  We assumed that these sites qualified as
CESQGs.  A CESQG is a facility that generates 100 kilograms or less of
hazardous waste in a calendar month.  Because the determination is based
on monthly generation, we had to make an assumption about annual
generation.  For purposes of this methodology, a CESQG is a facility
that generates a maximum of 1,200 kilograms of hazardous waste in a
calendar year.  This quantity translates into 1.32 tons per year.

Added to the list SQGs that submitted Site ID Forms as part of their
2005 BR, but who were not included in WR Forms.  For these sites, we
obtained information on the quantity of waste generated from GM Forms of
the 2005 BR, if available.

Created a list of SQGs based on the most recent information source for
each site in the RCRAInfo “Hhandler2” table (e.g., 3010
notifications, Part A permits).  This list includes the EPA ID, site
name, and primary NAICS code, if available.  Primary NAICS codes were
obtained from the RCRAInfo “Hnaics” table.

Merged the two lists to create list of unique SQGs.  This list includes
EPA ID, site name, generator status, primary NAICS code, and waste
quantity, based on availability of the information.

Supplemented site information in the list of unique SQGs by referring to
the RCRAInfo “Hhandler2” table and 2005 TRI data files.  This
information includes the site name and primary NAICS code.

Identify Non-Profit Research Institutes Affiliated with a CU - SQGs

Excluded sites for which site information is not available, since we
were not going to be able to determine whether these sites are
Non-Profit Research Institutes Affiliated with a CU - SQGs.

Identified R&D SQGs based on primary NAICS codes.  For purposes of this
methodology, R&D facilities are those sites represented by the following
NAICS codes:

NAICS Code(s)	NAICS Code Description

5417, 54171, 541710	Research and Development in the Physical,
Engineering, and Life Sciences

54172, 541720	Research and Development in the Social Sciences and
Humanities

Conducted a key word search on the list of names of sites that were not
categorized as R&D facilities based on primary NAICS code in order to
identify additional R&D SQGs.  In identifying the additional R&D SQGs,
we used the following key words:  "R&D," "research and development,"
"research & development," "research," and "cancer."

Excluded sites owned and operated by Federal, State, or local
governments from the rest of the analysis.  These sites are assumed not
to be Non-Profit Research Institutes Affiliated with a CU - SQGs.
Information on owner and operator type was obtained from the RCRAInfo
“Howner_operator2” table.

Excluded sites whose name indicates that they are not Non-Profit
Research Institutes Affiliated with a CU (e.g., site with commercial
names) from the rest of the analysis.  Theses sites are assumed not to
be Non-Profit Research Institutes Affiliated with a CU - SQGs.

Performed Web research to identify and quantify sites that are
Non-Profit Research Institutes Affiliated with a CU - SQGs.  In general,
this involved researching a random sample of sites and extrapolating the
results to the others.  The following steps were taken:

Prepared a list of all of the sites compiled from the preceding steps
that could potentially be Non-Profit Research Institutes Affiliated with
a CU - SQGs.  This list is referred to as the “Site List” and
included 510 sites.

Created three, mutually exclusive sets of sites from the Site List, to
research their status as Non-Profit Research Institutes Affiliated with
a CU – SQGs separately:

Sites known to be Non-Profit R&Ds (Set A);

Sites examined to derive parameter necessary to draw random sample of
sites for extrapolation (Set B); and

Sites examined for extrapolation to the sampling frame (Set C) .

These sets are described below, in the order that they were drawn and
removed from the Site List.  To facilitate the discussion, Exhibit 1
illustrates the breakdown of the Site List into Sets A, B, and C.

Exhibit 1

Breakdown of Site List into Mutually Exclusive Sets of Sites to Research

Their Status as Non-Profit Research Institutes Affiliated with a CU -
SQGs

Sites known to be Non-Profit R&Ds (Set A).  The Association of
Independent Research Institutes (AIRI) provided EPA with a list of its
member institutions that are Non-Profit R&Ds.  If a site on the Site
List was on the AIRI list, we concluded that it had a reasonably higher
probability of being a Non-Profit Research Institute Affiliated with a
CU - SQGs than other sites on the Site List.  Hence, a site-by-site
examination would be more effective at determining their status as
Non-Profit Research Institutes Affiliated with a CU - SQGs than
including them in a larger random sample.  In addition, removing them
from the Site List resulted in a more uniform distribution of the
remaining sites on the Site List with regard to their probability of
being Non-Profit Research Institutes Affiliated with a CU - SQGs.  This
strengthened the sampling approach.

We identified 19 sites on the Site List that are on the AIRI list.
These sites were established as Set A.  Set A was researched in
accordance with Step 3, below, to identify and quantify sites that are
Non-Profit Research Institutes Affiliated with a CU - SQGs.

After removing the 19 sites in Set A from the Site List, there were 491
remaining on the Site List (i.e., 510 sites – 19 sites = 491 sites).

Sites examined to derive parameter necessary to draw random sample for
extrapolation (Set B).  Before drawing a random sample of sites for
extrapolation, we had to estimate a parameter necessary for the sample
size calculation.  Specifically, we had to estimate parameter “p” in
the sample size equation presented below for Set C.  In that equation
for Set C, “p” is an advance estimate of the proportion of
Non-Profit Research Institutes Affiliated with a CU - SQGs in the final
sampling frame.

In order to derive “p” for the equation needed for Set C in the next
section, we had to draw a random sample of sites from the Site List.  We
used the following formula to arrive at the appropriate size for this
random sample:

P = p +/- [(1.96/(n)-1/2)(0.5)],

where:

P	=	the true proportion of Non-Profit Research Institutes Affiliated
with a CU - SQGs in the initial sampling frame; this, of course, is
unknown and what we are trying to estimate.

p	=	an advance estimate of the true proportion of Non-Profit Research
Institutes Affiliated with a CU - SQGs in the initial sampling frame.
Simply put, p is an estimate of P.  This estimate (p) is what we would
like to derive by examining a random sample of sites, as described in
the following paragraphs.

[(1.96/(n)-1/2)(0.5)]

is an equation that determines the precision of “p” based on sample
size (n), with at least a 95% confidence.  Note: The term
“precision” refers to how closely p estimates P and is expressed as
plus or minus a certain number of percentage points.  There is a direct
correlation between the sample size (n) and precision (i.e., higher
sample sizes result in higher levels of precision).

Given the above, ICF had to choose a sample size (n) that would result
in a satisfactory level of precision.  Based on our experience in
sampling and analysis, we believe that a precision of plus or minus 15
percent is generally acceptable for the straightforward sample-size
estimation to be performed for Set C.

Therefore, we solved for n in the equation: [(1.96/(n)-1/2)(0.5)] = 15
percent.  This resulted in a sample size (n) of 40.  Hence, we drew a
random sample of 40 sites from the Site List.  These 40 sites
constituted Set B.  This sample size will give us at least 95 percent
confidence that the proportion of Non-Profit Research Institutes
Affiliated with a CU – SQGs in the sample will be within plus or minus
15 percent of the true proportion of sites that are Non-Profit Research
Institutes Affiliated with a CU - SQGs in the entire sampling frame.
This becomes clear when we insert this percentage back into the original
equation, as follows:

P = p +/- [(1.96/(n)-1/2)(0.5)]; hence, if n=40, then P = p +/- 15%.

Once the random sample of 40 sites was drawn from the Site List, we
researched the sites in accordance with Step 3 below, to identify and
quantify sites that are Non-Profit Research Institutes Affiliated with a
CU - SQGs.  From this analysis, we identified four Non-Profit Research
Institutes Affiliated with a CU - SQGs, which represent 10 percent of
the sites researched.  This estimate was used as “p” in the equation
given in the next section for analysis of Set C.  Thus, the true
proportion of Non-Profit Research Institutes Affiliated with a CU –
SQGs in the initial sampling frame is estimated to be between 0 and 25
percent, with a confidence of at least 95 percent (negative values are
impossible).

Sites examined for extrapolation to the sampling frame (Set C).  The
sites remaining on the Site List after removal of the sites in Sets A
and B constituted the “initial sampling frame” (N).  Thus, the
initial sampling frame includes 451 sites (i.e., 510 sites in Site List
– 19 sites in Set A – 40 sites in Set B = 451 sites).

From the 451 sites in the initial sampling frame, we drew a random
sample of 32 sites.  These sites were established as Set C.  The purpose
was to estimate the proportion of Non-Profit Research Institutes
Affiliated with a CU - SQGs in Set C and extrapolate this proportion to
the final sampling frame.

In determining the number of sites in Set C, we used the following
equation:

Sample size	=	(n0) /{1 + (n0-1)/N}, where:

n0 =  t*t*p*(1-p)/(d*d)

t	=	percentile of the standard normal distribution.  The value of t
depends upon the level of confidence needed.  If we want to be 95%
confident of estimating the proportion within plus or minus d, then we
would use the 97.5th percentile, 1.960.  If we want to be 90% confident
of estimating the proportion within plus or minus d, then we would use
the 95th percentile, 1.645.

p	=	an advance estimate of the proportion of Non-Profit Research
Institutes Affiliated with a CU - SQGs in the final sampling frame

d	=	desired precision (fraction)

N	=	population size (i.e., the initial sampling frame)

The table below shows the inputs used in the sample-size equation.
These inputs resulted in a sample of 32 sites.  The final sampling frame
therefore consists of 419 sites (i.e., 451 sites – 32 sites = 419
sites).

Inputs	Number

Initial sampling frame (N)	451

d	0.10

p	0.10 a

t	1.960

a  This input was derived from analysis of sites in Set B.

Performed Web searches of the sites in Sets A-C, to determine if each
site meets the following criteria:  (1) is an organization that conducts
research and files as a non-profit organization under the tax code of 26
U.S.C. 501(c)(3); and (2) has a formal written affiliation agreement
with a CU.  We reviewed a site’s Web site to make this determination,
including the following Web pages at a minimum:  Home Page and About Us
(or comparably named page).  Other Web pages also may have been reviewed
if relevant.  If this did not address all of our needs, we used the
site’s search engine, if available, to search for key words.  If this
did not address all of our needs, we performed an Internet search using
key words in a commonly used Internet search engine.

To learn if a site is a Non-Profit R&D, we searched for indicative words
related to the site, as follows:

The words “non-profit,” “not-for-profit,” and/or “501(c)(3)”
indicated the site is a non-profit as defined by the rule.

Words about commercial activity (e.g., “manufacturing,” investor
information) indicated the site is a business and not a non-profit.

To learn if a site has a formal written affiliation agreement with a CU,
we reviewed the Web pages for the following:

A statement that the site has an affiliation, partnership, or agreement
with a CU; or

Information that implies the site has an affiliation with a CU, such as
a joint program with a CU for which an affiliation agreement is likely
to exist.

We attempted to discern whether these relationships were at the
institutional level, and not a project-by-project or grant-by-grant
level.

Based on the Web research, we determined whether each site:

Is a Non-Profit R&D;

Is CU-Affiliated;

Is commercial, public, or other.

Sites whose status and affiliation could not be determined based on the
Web search were flagged as “unknown.”

Results of the research are summarized in the table below.  The table
shows the number and percentage of sites that are Non-Profit Research
Institutes Affiliated with a CU - SQGs, as well as the total number of
sites examined in each set.

Data	Number and Percentage of Non-Profit

Research Institutes Affiliated with a CU - SQGs

Set A	6 out of 19 sites (31.6%)

Set B	4 out of 40 sites (10%)

Set C	2 out of 32 sites (6.25%)

Sets B and C	6 out of 72 sites (8.33%)

Exhibit 2 illustrates the results of the examination of sites in the
Site List to determine whether they are Non-Profit Research Institutes
Affiliated with a CU – SQGs.  The shaded boxes in the exhibit indicate
the sites determined to be Non-Profit Research Institutes Affiliated
with a CU – SQGs.

Exhibit 2

Examination of Sites in the Site List to Determine Whether They Are

Non-Profit Research Institutes Affiliated with a CU - SQGs

Estimated the total number of Non-Profit Research Institutes Affiliated
with a CU - SQGs.  This includes the sites determined to be Non-Profit
Research Institutes Affiliated with a CU - SQGs in Sets A-C, as well as
the estimated number of Non-Profit Research Institutes Affiliated with a
CU – SQGs in the final sampling frame.

In estimating the number of Non-Profit Research Institutes Affiliated
with a CU - SQGs in the final sampling frame, we extrapolated the
percentage of Non-Profit Research Institutes Affiliated with a CU - SQGs
in Sets B and C combined (i.e., 8.33% or 0.0833) to the final sampling
frame (i.e., 419 sites).  (We combined the two random samples in Sets B
and C for increased accuracy.)  This extrapolation resulted in an
estimate of 35 Non-Profit Research Institutes Affiliated with a
CU - SQGs in the final sampling frame (i.e., 0.0833 x 419 = 35 sites).
 Based on the inputs used to estimate the sample size in Step 2, one can
predict with approximately 95 percent confidence that the proportion of
Non-Profit Research Institutes Affiliated with a CU - SQGs identified in
this sample is within plus or minus 10 percent of their proportion in
the final sampling frame.  This gives an approximate 95 percent
confidence interval of from 0 to 18.33 percent (negative values are
impossible).

The table below presents the number of Non-Profit Research Institutes
Affiliated with a CU – SQGs for Sets A-C and the final sampling
frame.  As shown in the table, in total, we estimate 47 Non-Profit
Research Institutes Affiliated with a CU - SQGs.

Data	Number of Non-Profit Research

Institutes Affiliated with a CU - SQGs

Set A	6

Set B	4

Set C	2

Final Sampling Frame	35

Total	47

Based on the results of Step 5, we grouped sites in the Site List into
the following categories:

Non-Profit Research Institutes Affiliated with a CU -  SQGs whose waste
information is available;

Non-Profit Research Institutes Affiliated with a CU - SQGs whose waste
information is not available;

Sites that are not Non-Profit Research Institutes Affiliated with a CU
– SQGs;

Sites whose status as Non-Profit Research Institute Affiliated with a CU
- SQG was evaluated but not determined; and

Sites whose status as Non-Profit Research Institute Affiliated with a
CU - SQG was not evaluated.

Compile Waste Data for Non-Profit Research Institutes Affiliated with a
CU – SQGs Whose Hazardous Waste Information is Available

Compiled the following waste stream information for Non-Profit Research
Institutes Affiliated with a CU - SQGs from WR or GM Forms of the 2005
BR:

Quantity of waste shipped/generated;

Source code (GM Form only);

Waste form code;

Waste codes representing the waste stream;

ICFCode; and

Waste description.

The ICFCode is a single, mutually exclusive hazardous waste code
assigned to waste streams.  The ICFCode was created to help avoid double
counting of waste quantities for waste streams with multiple hazardous
waste codes.  The logic used to define these waste code groups is
presented in Attachment A.

Excluded waste streams for which the quantity of waste generated is
equal to zero.

Excluded remediation wastes generated by Non-Profit Research Institutes
Affiliated with a CU - SQGs, since these wastes are not generated as a
result of routine activities at a site.  Wastes are considered
“remediation wastes” if they:

Have the word “remediation," “cleanup," “clean-up," “media,"
and/or “soil” in the waste description field; or

Are represented by source codes G41 through G49.

Source Code	Source Code Description

G41	Closure of hazardous waste management unit under RCRA

G42	Corrective action at a solid waste management unit under RCRA

G43	Remedial action or emergency response under Superfund

G44	State program or voluntary cleanup

G45	Underground storage tank cleanup

G49	Other remediation (specify in comments)

Estimated the total quantity of hazardous wastes generated by Non-Profit
Research Institutes Affiliated with a CU - SQGs.

Estimated the quantity of photo laboratory wastes generated by
Non-Profit Research Institutes Affiliated with a CU - SQGs.  Wastes are
considered “photo laboratory wastes” if they have the word
“photo,” “dark room,” “X ray,” and/or “X ray”  in the
waste description field.

Estimated the quantity of other types of laboratory wastes generated by
Non-Profit Research Institute Affiliated with a CU - SQGs.  Wastes are
considered “other laboratory wastes” if they:

Have the word “lab” and/or “research” in the waste description
field; or

Are represented by source codes G09, G11, or G22.  If the source code is
G09, the waste form code must indicate lab packs (i.e., W001 or W004).

Source Code	Source Code Description

G09	Other production or service-related processes from which the waste
is a direct outflow or result (specify in comments)

G11	Discarding off-specification or out-of-date chemicals or products
(unused chemicals or products - corresponds to P and U hazardous waste
codes)

G22	Laboratory analytical wastes (used chemicals from laboratory
operations)

Estimated the quantity of C&D wastes generated by Non-Profit Research
Institutes Affiliated with a CU - SQGs.  Wastes are considered “C&D
wastes” if they have the word “debris," “construction,” and/or
“demolition" in the waste description field.

Estimated the quantity of “other wastes” generated by Non-Profit
Research Institutes Affiliated with a CU - SQGs.  The quantity of
“other wastes” was estimated by subtracting the quantity of photo
laboratory wastes, other laboratory wastes, and C&D wastes from the
total quantity of hazardous wastes generated by Non-Profit Research
Institutes Affiliated with a CU - SQGs.

Results

Exhibits B-8 through B-14 present the results for the data analysis on
Non-Profit Research Institutes Affiliated with a CU - SQGs:

Exhibit B-8 presents a list of the eight Non-Profit Research Institutes
Affiliated with a CU - SQGs in Sets A-C whose hazardous waste
generation data are available.  It also presents data on hazardous waste
generation quantities for each of these sites.

Exhibit B-9 presents the number of generators and total quantity of
laboratory waste, by source code, for Non-Profit Research Institutes
Affiliated with a CU – SQGs.  The exhibit only includes the four sites
in Sets A-C whose hazardous laboratory waste generation data are
available.

Exhibit B-10 presents the number of generators and total quantity of
laboratory waste, by waste code group (i.e., ICFCode), for Non-Profit
Research Institutes Affiliated with a CU – SQGs.  The exhibit only
includes the four sites in Sets A-C whose hazardous laboratory waste
generation data are available.

Exhibit B-11 presents a list of the four Non-Profit Research Institutes
Affiliated with a CU - SQGs in Sets A-C whose hazardous waste
generation data are not available.

Exhibit B-12 presents a list of the 76 sites in Sets A-C that were
determined not to be Non-Profit Research Institutes Affiliated with a CU
– SQGs.

Exhibit B-13 presents a list of the three sites in Sets A-C whose status
as Non-Profit Research Institute Affiliated with a CU - SQG was
evaluated, but whose status is not known because the Web search was not
conclusive.

Exhibit B-14 presents a list of the 419 sites in the final sampling
frame whose status as Non-Profit Research Institute Affiliated with a CU
– SQG was not evaluated as part of this analysis.  Rather, we
estimated the percentage of them that may be Non-Profit Research
Institutes Affiliated with a CU - SQGs based on extrapolation of the
findings from Set C.

Key observations from this analysis include:

It is estimated that there were 47 Non-Profit Research Institutes
Affiliated with a CU – SQGs in 2005.

Hazardous waste generation data were available for eight of the 47
Non-Profit Research Institutes Affiliated with a CU – SQGs.

Of the eight Non-Profit Research Institutes Affiliated with a CU –
SQGs whose hazardous waste generation data are available, four generated
hazardous laboratory wastes in 2005.  These wastes accounted for
approximately 10 percent of the total quantity of hazardous wastes
generated by Non-Profit Research Institutes Affiliated with a CU –
SQGs in 2005.

Non-Profit Research Institute Affiliated with a College or University
– Conditionally Exempt Small Quantity Generator

Methodology

Following the steps we undertook to identify Non-Profit Research
Institutes Affiliated with a CU - CESQGs and estimate the quantity of
hazardous wastes they generated in 2005:

Identify CESQGs

Created a list of off-site shippers and the quantity of hazardous wastes
they shipped using data reported in WR Forms of the 2005 BR.  This list
includes the EPA ID and the quantity of waste shipped.

Eliminated from the list aggregate ID numbers.  An “aggregate ID” is
an ID number used to identify waste received from sites that do not have
an EPA ID number.  For example, the aggregate ID may consist of the
State two-letter abbreviation followed by “CESQG.”  For purposes of
this methodology, aggregate ID numbers are EPA ID numbers that include
the word “CESQ,” “CEG,” “SQG,” or “exempt” (e.g.,
AKCESQG, PAEXEMPT).  Because we cannot identify the sites represented by
an aggregate ID number or determine whether an aggregate ID number
represents one or more sites, we excluded aggregate ID numbers from the
rest of the analysis.

Eliminated from the list sites that submitted a Site ID Form, as part of
their 2005 BR, indicating they were not a CESQG.

Eliminated from the list sites that shipped 13.22 tons or more of
hazardous wastes in 2005.  We assumed that these sites qualified as
LQGs.  An LQG is a facility that generates 1,000 kilograms or more of
hazardous waste in a calendar month.  Because the determination is based
on monthly generation, we had to make an assumption about annual
generation.  For purposes of this methodology, an LQG is a facility that
generates a minimum of 12,000 kilograms of hazardous waste in a calendar
year (i.e., 1,000 kilograms/month x 12 months/year).  This quantity
translates into 13.22 tons per year (i.e., 12,000 kilograms/year x
0.001102 tons/kilogram).

Eliminated from the list sites that generated between 1.32 tons and
13.22 tons of hazardous wastes in 2005.  We assumed that these sites
qualified as SQGs.  An SQG is a facility that generates greater than 100
kilograms and less than 1,000 kilograms of hazardous waste in a calendar
month.  Because the determination is based on monthly generation, we had
to make an assumption about annual generation.  For purposes of this
methodology, an SQG is a facility that generates between 1,200 and
12,000 kilograms of hazardous waste in a calendar year.  This translate
into 1.32 tons to 13.22 tons per year.

Added to the list CESQGs that submitted Site ID Forms as part of their
2005 BR, but who were not included in WR Forms.  For these sites, we
obtained information on the quantity of waste generated from GM Forms of
the 2005 BR, if available.

Created a list of CESQGs based on the most recent information source for
each site in the RCRAInfo “Hhandler2” table (e.g., 3010
notifications, Part A permits).  This list includes the EPA ID, site
name, and primary NAICS code, if available.  Primary NAICS codes were
obtained from the RCRAInfo “Hnaics” table.

Merged the two lists to create list of unique CESQGs.  This list
includes EPA ID, site name, generator status, primary NAICS code, and
waste quantity, based on availability of the information.

Supplemented site information in the list of unique CESQGs by referring
to the “Hhandler2” table and 2005 TRI data files.  This information
includes the site name and primary NAICS code.

Identify Non-Profit Research Institutes Affiliated with a CU - CESQGs

Excluded sites for which site information is not available, since we
were not going to be able to determine whether these sites are
Non-Profit Research Institutes Affiliated with a CU - CESQGs.

Identified R&D CESQGs based on primary NAICS codes.  For purposes of
this methodology, R&D facilities are those sites represented by the
following NAICS codes:

NAICS Code(s)	NAICS Code Description

5417, 54171, 541710	Research and Development in the Physical,
Engineering, and Life Sciences

54172, 541720	Research and Development in the Social Sciences and
Humanities

Conducted a key word search on the list of names of sites that were not
categorized as R&D facilities based on primary NAICS code in order to
identify additional R&D CESQGs.  In identifying the additional R&D
CESQGs, we used the following key words:  "R&D," "research and
development," "research & development," "research," and "cancer."

Excluded sites owned and operated by Federal, State, or local
governments from the rest of the analysis.  These sites are assumed not
to be Non-Profit Research Institutes Affiliated with a CU - CESQGs.
Information on owner and operator type was obtained from the RCRAInfo
“Howner_operator2” table.

Excluded sites whose name indicates that they are not Non-Profit
Research Institutes Affiliated with a CU (e.g., site with commercial
names) from the rest of the analysis.  Theses sites are assumed not to
be Non-Profit Research Institutes Affiliated with a CU - CESQGs.

Performed Web research to identify and quantify sites that are
Non-Profit Research Institutes Affiliated with a CU - CESQGs.  In
general, this involved researching a random sample of sites and
extrapolating the results to the others.  The following steps were
taken:

Prepared a list of all of the sites compiled from the preceding steps
that could potentially be Non-Profit Research Institutes Affiliated with
a CU - CESQGs.  This list is referred to as the “Site List” and
included 371 sites.

Created three, mutually exclusive sets of sites from the Site List, to
research their status as Non-Profit Research Institutes Affiliated with
a CU - CESQGs separately:

Sites known to be Non-Profit R&Ds (Set A);

Sites examined to derive parameter necessary to draw random sample of
sites for extrapolation (Set B); and

Sites examined for extrapolation to the sampling frame (Set C) .

These sets are described below, in the order that they were drawn and
removed from the Site List.  To facilitate the discussion, Exhibit 3
illustrates the break down of the Site List into Sets A, B, and C.

Exhibit 3

Break Down of Site List into Mutually Exclusive Sets of Sites to
Research

Their Status as Non-Profit Research Institutes Affiliated with a CU -
CESQGs

Sites known to be Non-Profit R&Ds (Set A).  AIRI provided EPA with a
list of its member institutions that are Non-Profit R&Ds.  If a site on
the Site List was on the AIRI list, we concluded that it had a
reasonably higher probability of being a Non-Profit Research Institutes
Affiliated with a CU - CESQGs than other sites on the Site List.  Hence,
a site-by-site examination would be more effective at determining their
status as Non-Profit Research Institutes Affiliated with a CU - CESQGs
than including them in a larger random sample.  In addition, removing
them from the Site List resulted in a more uniform distribution of the
remaining sites on the Site List with regard to their probability of
being Non-Profit Research Institutes Affiliated with a CU - CESQGs.
This strengthened the sampling approach.

We identified 7 sites on the Site List that are on the AIRI list.  These
sites were established as Set A.  Set A was researched in accordance
with Step 3, below, to identify and quantify sites that are Non-Profit
Research Institutes Affiliated with a CU - CESQGs.  After removing the
7 sites in Set A from the Site List, there were 364 remaining on the
Site List (i.e., 371 sites – 7 sites = 364 sites).

Sites examined to derive parameter necessary to draw random sample for
extrapolation (Set B).  Before drawing a random sample of sites for
extrapolation, we had to estimate a parameter necessary for the sample
size calculation.  Specifically, we had to estimate parameter “p” in
the sample size equation presented below for Set C.  In that equation
for Set C, “p” is an advance estimate of the proportion of
Non-Profit Research Institutes Affiliated with a CU - SQGs in the final
sampling frame.

In order to derive “p” for the equation needed for Set C in the next
section, we had to draw a random sample of sites from the Site List.  We
used the following formula to arrive at the appropriate size for this
random sample:

P = p +/- [(1.96/(n)-1/2)(0.5)],

where:

P	=	the true proportion of Non-Profit Research Institutes Affiliated
with a CU - SQGs in the initial sampling frame; this, of course, is
unknown and what we are trying to estimate.

p	=	an advance estimate of the true proportion of Non-Profit Research
Institutes Affiliated with a CU - SQGs in the initial sampling frame.
Simply put, p is an estimate of P.  This estimate (p) is what we would
like to derive by examining a random sample of sites, as described in
the following paragraphs.

[(1.96/(n)-1/2)(0.5)]

is an equation that determines the precision of “p” based on sample
size (n), with at least a 95% confidence.  Note: The term
“precision” refers to how closely p estimates P and is expressed as
plus or minus a certain number of percentage points.  There is a direct
correlation between the sample size (n) and precision (i.e., higher
sample sizes result in higher levels of precision).

Given the above, ICF had to choose a sample size (n) that would result
in a satisfactory level of precision.  Based on our experience in
sampling and analysis, we believe that a precision of plus or minus 15
percent is generally acceptable for the straightforward sample-size
estimation to be performed for Set C.

Therefore, we solved for n in the equation: [(1.96/(n)-1/2)(0.5)] = 15
percent.  This resulted in a sample size (n) of 40.  Hence, we drew a
random sample of 40 sites from the Site List.  These 40 sites
constituted Set B.   This sample size will give us at least 95 percent
confidence that the proportion of Non-Profit Research Institutes
Affiliated with a CU – SQGs in the sample will be within plus or minus
15 percent of the true proportion of sites that are Non-Profit Research
Institutes Affiliated with a CU - SQGs in the entire sampling frame.
This becomes clear when we insert this percentage back into the original
equation, as follows:

P = p +/- [(1.96/(n)-1/2)(0.5)]; hence, if n=40, then P = p +/- 15%.

Once the random sample of 40 sites was drawn from the Site List, we
researched the sites in accordance with Step 3 below, to identify and
quantify sites that are Non-Profit Research Institutes Affiliated with a
CU - SQGs.  From this analysis, we identified four Non-Profit Research
Institutes Affiliated with a CU - SQGs, which represent 10 percent of
the sites researched.  This estimate was used as “p” in the equation
given in the next section for analysis of Set C.  Thus, the true
proportion of Non-Profit Research Institutes Affiliated with a CU –
SQGs in the initial sampling frame is estimated to be between 0 and 25
percent, with a confidence of at least 95 percent (negative values are
impossible).

Sites examined for extrapolation to the sampling frame (Set C).  The
sites remaining on the Site List after removal of the sites in Sets A
and B constituted the “initial sampling frame” (N).  Thus, the
initial sampling frame includes 324 sites (i.e., 371 sites in Site List
– 7 sites in Set A – 40 sites in Set B = 324 sites).

From the 324 sites in the initial sampling frame, we drew a random
sample of 31 sites.  These sites were established as Set C.  The purpose
was to estimate the proportion of Non-Profit Research Institutes
Affiliated with a CU - CESQGs in Set C and extrapolate this proportion
to the final sampling frame.

In determining the number of sites in Set C, we used the following
equation:

Sample size	=	(n0) /{1 + (n0-1)/N}, where:

n0 =  t*t*p*(1-p)/(d*d)

t	=	percentile of the standard normal distribution.  The value of t
depends upon the level of confidence needed.  If we want to be 95%
confident of estimating the proportion within plus or minus d, then we
would use the 97.5th percentile, 1.960.  If we want to be 90 % confident
of estimating the proportion within plus or minus d, then we would use
the 95th percentile, 1.645.

p	=	an advance estimate of the proportion of Non-Profit Research
Institutes Affiliated with a CU - SQGs in the final sampling frame

d	=	desired precision (fraction)

N	=	population size (i.e., the initial sampling frame)

The table below shows the inputs used in the sample-size equation.
These inputs resulted in a sample of 31 sites.  The final sampling frame
therefore consists of 293 sites (i.e., 324 sites – 31 sites = 293
sites).

Inputs	Number

Initial sampling frame (N)	324

d	0.10

p	0.10 a

t	1.960

a  This input was derived from analysis of sites in Set B.

Performed Web searches of the sites in Sets A-C, to determine if each
site meets the following criteria:  (1) is an organization that conducts
research and files as a non-profit organization under the tax code of 26
U.S.C. 501(c)(3); and (2) has a formal written affiliation agreement
with a CU.  We reviewed a site’s Web site to make this determination,
including the following Web pages at a minimum:  Home Page and About Us
(or comparably named page).  Other Web pages also may have been reviewed
if relevant.  If this did not address all of our needs, we used the
site’s search engine, if available, to search for key words.  If this
did not address all of our needs, we performed an Internet search using
key words in a commonly used Internet search engine.

To learn if a site is a Non-Profit R&D, we searched for indicative words
related to the site, as follows:

The words “non-profit,” “not-for-profit,” and/or “501(c)(3)”
indicated the site is a non-profit as defined by the rule.

Words about commercial activity (e.g., “manufacturing,” investor
information) indicated the site is a business and not a non-profit.

To learn if a site has a formal written affiliation agreement with a CU,
we reviewed the Web pages for the following:

A statement that the site has an affiliation, partnership, or agreement
with a CU; or

Information that implies the site has an affiliation with a CU, such as
a joint program with a CU for which an affiliation agreement is likely
to exist.

We attempted to discern whether these relationships were at the
institutional level, and not a project-by-project or grant-by-grant
level.

Based on the Web research, we determined whether each site:

Is a Non-Profit R&D;

Is CU-Affiliated;

Is commercial, public, or other.

Sites whose status and affiliation could not be determined based on the
Web search were flagged as “unknown.”

Results of the research are summarized in the table below.  The table
shows the number and percentage of sites that are Non-Profit Research
Institutes Affiliated with a CU - CESQGs, as well as the total number of
sites examined in each set.

Data	Number and Percentage of Non-Profit

Research Institutes Affiliated with a CU – CESQGs

Set A	3 out of 7 sites (42.9%)

Set B	4 out of 40 sites (10%)

Set C	1 out of 31 sites (3.23%)

Sets B and C	5 out of 71 sites (7%)

Exhibit 4 illustrates the results of the examination of sites in the
Site List to determine whether they are Non-Profit Research Institutes
Affiliated with a CU – CESQGs.  The shaded boxes in the exhibit
indicate the sites determined to be Non-Profit Research Institutes
Affiliated with a CU – CESQGs.

Exhibit 4

Examination of Sites in the Site List to Determine Whether They Are

Non-Profit Research Institutes Affiliated with a CU - CESQGs

Estimated the total number of Non-Profit Research Institutes Affiliated
with a CU - CESQGs.  This includes the sites determined to be
Non-Profit Research Institutes Affiliated with a CU - CESQGs in Sets
A-C, as well as the estimated number of Non-Profit Research Institutes
Affiliated with a CU – CESQGs in the final sampling frame.

In estimating the number of Non-Profit Research Institutes Affiliated
with a CU - CESQGs in the final sampling frame, we extrapolated the
percentage of Non-Profit Research Institutes Affiliated with a CU -
CESQGs in Sets B and C combined (i.e., 7% or 0.07) to the final
sampling frame (i.e., 293 sites).  (We combined the two random samples
in Sets B and C for increased accuracy.)  This extrapolation resulted in
an estimate of 21 Non-Profit Research Institutes Affiliated with a CU -
CESQGs in the final sampling frame (i.e., 0.07 x 293= 21 sites).  Based
on the inputs used to estimate the sample size in Step 2, one can
predict with approximately 95 percent confidence that the proportion of
Non-Profit Research Institutes Affiliated with a CU - CESQGs
identified in this sample is within plus or minus 10 percent of their
proportion in the final sampling frame.  This gives an approximate 95
percent confidence interval of from 0 to 17 percent (negative values are
impossible).

The table below presents the number of Non-Profit Research Institutes
Affiliated with a CU – CESQGs for Sets A-C and the final sampling
frame.  As shown in the table, in total, we estimate 29 Non-Profit
Research Institutes Affiliated with a CU - CESQGs.

Data	Number of Non-Profit Research

Institutes Affiliated with a CU - CESQGs

Set A	3

Set B	4

Set C	1

Final Sampling Frame	21

Total	29

Based on the results of Step 5, we grouped sites in the Site List into
the following categories:

Non-Profit Research Institutes Affiliated with a CU -  CESQGs whose
waste information is available;

Non-Profit Research Institutes Affiliated with a CU - CESQGs whose waste
information is not available;

Sites that are not Non-Profit Research Institutes Affiliated with a
CU - CESQGs;

Sites whose status as Non-Profit Research Institute Affiliated with a
CU - CESQG was evaluated but not determined; and

Sites whose status as Non-Profit Research Institute Affiliated with a
CU - CESQG was not evaluated.

Compile Waste Data for Non-Profit Research Institutes Affiliated with a
CU – CESQGs Whose Hazardous Waste Information is Available

Compiled the following waste stream information for Non-Profit Research
Institutes Affiliated with a CU - CESQGs from WR or GM Forms of the
2005 BR:

Quantity of waste shipped/generated;

Source code (GM Form only);

Waste form code;

Waste codes representing the waste stream;

ICFCode; and

Waste description.

The ICFCode is a single, mutually exclusive hazardous waste code
assigned to waste streams.  The ICFCode was created to help avoid double
counting of waste quantities for waste streams with multiple hazardous
waste codes.  The logic used to define these waste code groups is
presented in Attachment A.

Excluded waste streams for which the quantity of waste generated is
equal to zero.

Excluded remediation wastes generated by Non-Profit Research Institutes
Affiliated with a CU - CESQGs, since these wastes are not generated as
a result of routine activities at a site.  Wastes are considered
“remediation wastes” if they:

Have the word “remediation," “cleanup," “clean-up," “media,"
and/or “soil” in the waste description field; or

Are represented by source codes G41 through G49.

Source Code	Source Code Description

G41	Closure of hazardous waste management unit under RCRA

G42	Corrective action at a solid waste management unit under RCRA

G43	Remedial action or emergency response under Superfund

G44	State program or voluntary cleanup

G45	Underground storage tank cleanup

G49	Other remediation (specify in comments)

Estimated the total quantity of hazardous wastes generated by Non-Profit
Research Institutes Affiliated with a CU - CESQGs.

Estimated the quantity of photo laboratory wastes generated by
Non-Profit Research Institutes Affiliated with a CU - CESQGs.  Wastes
are considered “photo laboratory wastes” if they have the word
“photo,” “dark room,” “X ray,” and/or “X ray”  in the
waste description field.

Estimated the quantity of other types of laboratory wastes generated by
Non-Profit Research Institute Affiliated with a CU - CESQGs.  Wastes are
considered “other laboratory wastes” if they:

Have the word “lab” and/or “research” in the waste description
field; or

Are represented by source codes G09, G11, or G22.  If the source code is
G09, the waste form code must indicate lab packs (i.e., W001 or W004).

Source Code	Source Code Description

G09	Other production or service-related processes from which the waste
is a direct outflow or result (specify in comments)

G11	Discarding off-specification or out-of-date chemicals or products
(unused chemicals or products - corresponds to P and U hazardous waste
codes)

G22	Laboratory analytical wastes (used chemicals from laboratory
operations)

Estimated the quantity of C&D wastes generated by Non-Profit Research
Institutes Affiliated with a CU - CESQGs.  Wastes are considered “C&D
wastes” if they have the word “debris," “construction,” and/or
“demolition" in the waste description field.

Estimated the quantity of “other wastes” generated by Non-Profit
Research Institutes Affiliated with a CU - CESQGs.  The quantity of
“other wastes” was estimated by subtracting the quantity of photo
laboratory wastes, other laboratory wastes, and C&D wastes from the
total quantity of hazardous wastes generated by Non-Profit Research
Institutes Affiliated with a CU - CESQGs.

Results

Exhibits B-15 through B-20 present the results for the data analysis on
Non-Profit Research Institutes Affiliated with a CU - CESQGs:

Exhibit B-15 presents a list of the three Non-Profit Research Institutes
Affiliated with a CU - CESQGs in Sets A-C whose hazardous waste
generation data are available.  It also presents data on hazardous waste
generation quantities for each of these sites.

Exhibit B-16 presents the number of generators and total quantity of
laboratory waste, by waste code group (i.e., ICFCode), for Non-Profit
Research Institutes Affiliated with a CU – CESQGs.  The exhibit only
includes the three sites in Sets A-C whose hazardous laboratory waste
generation data are available.

Exhibit B-17 presents a list of the five Non-Profit Research Institutes
Affiliated with a CU - CESQGs in Sets A-C whose hazardous waste
generation data are not available.

Exhibit B-18 presents a list of the 63 sites in Sets A-C that were
determined not to be Non-Profit Research Institutes Affiliated with a CU
– CESQGs.

Exhibit B-19 presents a list of the seven sites in Sets A-C whose status
as Non-Profit Research Institute Affiliated with a CU - CESQG was
evaluated, but whose status is not known because the Web search was not
conclusive.

Exhibit B-20 presents a list of the 293 sites in the final sampling
frame whose status as Non-Profit Research Institute Affiliated with a CU
– CESQG was not evaluated as part of this analysis.  Rather, we
estimated the percentage of them that may be Non-Profit Research
Institutes Affiliated with a CU - CESQGs based on extrapolation of the
findings from Set C.

Note that, because hazardous waste generation data for Non-Profit
Research Institutes Affiliated with a CU - CESQGs were obtained from
WR Forms, information on source codes is not available.  Therefore, a
table presenting information on number of generators and total quantity
of hazardous laboratory waste by source code was not developed for
Non-Profit Research Institutes Affiliated with a CU – CESQGs

Key observations from this analysis include:

It is estimated that there were 29 Non-Profit Research Institutes
Affiliated with a CU – CESQGs in 2005.

Hazardous waste generation data were available for three of the 29
Non-Profit Research Institutes Affiliated with a CU – CESQGs.

All three Non-Profit Research Institutes Affiliated with a CU – SQGs
whose hazardous waste generation data are available generated hazardous
laboratory wastes in 2005.  These wastes accounted for approximately 46
percent of the total quantity of hazardous wastes generated by
Non-Profit Research Institutes Affiliated with a CU - CESQGs in 2005.

  SEQ CHAPTER \h \r 1 Attachment A

ICFCode Algorithm

[Page intentionally left blank.]

ICFCode Algorithm

The assignment of ICFCodes is based on an algorithm applied to waste
streams with multiple waste codes.  The algorithm is used to determine a
single, mutually exclusive code to help avoid double counting of waste
quantities.  The logic used to define these waste code groups is defined
in Exhibit A-1.

  SEQ CHAPTER \h \r 1 Exhibit A-1

Definitions of Waste Code Groups Used in the Assignment of ICFCodes

RCRA Waste Code(s) Assigned to Waste streams	ICFCODE

Waste Code Group

Most Specific

Waste Code(s) Reported	Other Waste

Codes Reported

	Single waste code	None	Same waste code as reported

Lab packs with no identified code (i.e., “LABP”)	Any other code	LABP

F039	Any other code	F039

Single K code	Any other non-K codes	Single K code

K048-K052 combinations only	Any F, P, U, or D codes	KPET

K code combinations	Any other non-K codes	KXXX

Single F code	Any P, U, or D codes	Single F code

F001-F005 combinations	Any P, U, or D codes	F1_5

F006-F009 combinations	Any P, U, or D codes	F6_9

F010-F012 combinations	Any P, U, or D codes	F1012

F020-F028 combinations	Any P, U, or D codes	F20S

F032-F035 combinations	Any P, U, or D codes	F30S

F037/F038 combinations	Any P, U, or D codes	PSLU (Petroleum sludges)

Any other F mixtures	Any P, U, or D codes	FMIX

A single U code	D codes only	The U code

U mixtures	D codes only	UMIX

A single P code	D codes only	The P code

U and P mixtures	D codes only	U&PS

P mixtures	D codes only	PMIX

A single D code	Any invalid code	The D code

Any single D004-D017 code	D001-D003	The D code (D004-D017)

D004-D011 combinations	D001-D003	TCMT (TC Metals)

D012-D017 combinations	D001-D003	PEST (TC Pesticides)

One or more D018-D043 code	One or more D001-D003 code	TCORICR (TC
organic with ICR)

D018-D043 combinations	None	TCOR Only (TC organics only)

D001-D003 combinations only	None	ICR (Ignitable, Corrosive, or Reactive)

Any other D mixtures	None	DMIX

[Page intentionally left blank.]

  SEQ CHAPTER \h \r 1 Attachment B

Results of Data Analyses

[Page intentionally left blank.]

Exhibits B-1 through B4

Teaching Hospitals Affiliated with a College or University

Small Quantity Generators (SQGs)

[Page intentionally left blank.]

Exhibit B-1

Teaching Hospitals Affiliated with a College or University – SQGs:

List of Sites for Which 2005 Hazardous Waste Generation Data Are
Available a, b

No.	EPA ID	Site Name	Primary NAICS Code c	Hazardous Laboratory Wastes
Hazardous C&D Waste	Other Hazardous Waste	All Hazardous Waste	Percent of
Total Hazardous Waste Quantity

Photo Laboratory Waste	Other Laboratory Waste	Total

1	ALD980839492	UNIVERSITY OF SOUTH ALABAMA MEDICAL CNTR	62211	0.000
0.987	0.987	0.000	6.561	7.548	1.4%

2	ALR000010983	CENTRAL AL VETERANS HEALTH CARE SYSTEM	62211	0.000	0.000
0.000	0.000	1.473	1.473	0.3%

3	AR4360010298	CENTRAL ARKANSAS VETERANS HEALTHCARE SYS	62322	0.008
1.666	1.674	0.000	1.337	3.010	0.5%

4	AR5360010297	CENTRAL ARKANSAS VETERANS HEALTHCARE SYS	62211	0.000
3.780	3.780	0.003	0.001	3.784	0.7%

5	ARD075669416	ARKANSAS CHILDREN`S HOSPITAL	62211	0.000	2.998	2.998
0.000	0.000	2.998	0.5%

6	AZ2360090045	USVA CARL T HAYDEN MED CTR	62211	0.000	0.148	0.148	0.000
1.240	1.388	0.3%

7	AZD982328387	ST JOSEPHS HOSPITAL & MED  CTR	62211	0.000	0.200	0.200
0.050	3.150	3.400	0.6%

8	AZD982469595	MARICOPA MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
1.603	1.603	0.3%

9	CA2360090060	USVA MEDICAL CENTER	92312	0.000	2.224	2.224	0.368	4.647
7.238	1.3%

10	CA8360090155	USVA MEDICAL CENTER	621112	0.000	0.000	0.000	0.000	0.501
0.501	0.1%

11	CAD096889845	PETTIS MEMORIAL VETERANS ADMIN	62211	0.000	0.603	0.603
0.000	3.560	4.163	0.8%

12	CAD981374853	VA PALO ALTO HEALTH CARE SYSTEM	62211	0.000	1.732	1.732
0.000	6.003	7.735	1.4%

13	CAD981450976	SCRIPPS MEMORIAL HOSPITAL	621112	0.000	0.000	0.000	0.000
5.163	5.163	0.9%

14	CAD981632730	CPMC-PACIFIC CAMPUS	62211	0.000	1.012	1.012	0.000	2.859
3.871	0.7%

15	CAD983581026	U S C UNIVERSITY HOSPITAL	62211	0.000	0.000	0.000	0.000
2.180	2.180	0.4%

16	CAR000001065	SCRIPPSHEALTH TORREY PINES	 NA	0.000	0.000	0.000	0.000
6.862	6.862	1.2%

17	COD076443019	NATIONAL JEWISH MEDICAL & RESEARCH CTR	62211	0.000	0.862
0.862	0.000	2.384	3.246	0.6%

18	COD076443316	CHILDREN'S HOSPITAL	  NA	0.000	0.578	0.578	0.000	5.278
5.857	1.1%

19	CT5000001545	US VETERANS ADMIN CT HEALTH MEDICAL SYS	62211	0.000
0.000	0.000	0.000	3.139	3.139	0.6%

20	CTD075394080	DANBURY HOSPITAL THE	62211	0.000	0.050	0.050	0.000	0.000
0.050	< 0.1%

21	CTD121900948	US V A CONNECTICUT HEALTH CARE SYS	  NA	0.000	0.000
0.000	0.000	0.108	0.108	< 0.1%

22	CTR000002840	GREENWICH HOSPITAL	  NA	0.000	0.000	0.000	0.000	0.538
0.538	0.1%

23	DE6360010353	VA MEDICAL CENTER	  NA	0.000	0.237	0.237	0.000	1.545
1.782	0.3%

24	DED984071217	CHRISTIANA CARE-WILMINGTON HOSPITAL	62211	0.000	0.000
0.000	0.000	0.079	0.079	< 0.1%

25	DED984071225	CHRISTIANA HOSPITAL	62211	0.000	0.000	0.000	0.000	2.618
2.618	0.5%

26	FL1360015449	VA MEDICAL CENTER	62211	0.000	0.000	0.000	0.000	2.195
2.195	0.4%

27	FLD981466618	USDVA MIAMI V A MEDICAL CENTER	  NA	0.000	0.000	0.000
0.000	4.672	4.672	0.8%

28	FLD982087835	USDVA JAMES A HALEY V A HOSPITAL	62211	0.000	1.060	1.060
0.000	5.853	6.912	1.3%

29	FLD982091290	MOUNT SINAI MEDICAL CENTER	  NA	0.000	0.891	0.891
0.000	1.853	2.744	0.5%

30	FLD982105579	USDVA V A MEDICAL CENTER	  NA	0.036	0.000	0.036	0.000
0.000 	0.036	< 0.1%

31	FLD982107583	USDVA BAY PINES V A MEDICAL CENTER	  NA	0.000	0.000
0.000	0.000	0.859	0.859	0.2%

32	FLD982128043	ST LUKES HOSPITAL ASSOCIATION	  NA	0.000	0.000	0.000
0.000	8.139	8.139	1.5%

33	FLD982140170	SHANDS HOSPITAL INC	  NA	0.000	6.063	6.063	0.000	6.627
12.689	2.3%

34	FLD982174864	ALL CHILDRENS HOSPITAL	  NA	0.000	0.042	0.042	0.000
0.300	0.342	0.1%

35	FLD984239004	SHANDS JACKSONVILLE MEDICAL CENTER	  NA	0.000	2.336
2.336	0.000	2.143	4.479	0.8%

36	FLR000005694	VETERANS AFFAIRS MEDICAL CTR	  NA	0.000	0.170	0.170
0.000	1.875	2.045	0.4%

37	GA2360910242	DVA MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000	0.310
0.310	0.1%

38	GA3360090010	DVA MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000	0.625
0.625	0.1%

39	GAD066469933	CRAWFORD W LONG MEMORIAL HOSPITAL	  NA	0.000	0.000
0.000	0.000	3.768	3.768	0.7%

40	GAD072475312	GRADY HEALTH SYSTEM	62211	0.000	0.000	0.000	0.000	1.249
1.249	0.2%

41	GAD981230584	MEDICAL CENTER OF CENTRAL GA	62211	0.000	0.000	0.000
0.000	4.535	4.535	0.8%

42	GAD981261779	CHILDREN'S HEALTHCARE OF ATL AT EGLESTON	62211	0.000
0.000	0.000	0.000	0.128	0.128	< 0.1%

43	GAD981264765	CHILDREN'S HEALTHCARE OF ATL @SCOT RITS	62211	0.000
0.000	0.000	0.000	0.128	0.128	< 0.1%

44	GAR000022582	MCG HEALTHCARE INC	62211	0.000	8.361	8.361	0.000	0.000
8.361	1.5%

45	HID157773284	QUEENS MEDICAL CENTER	62211	0.000	5.413	5.413	0.000
2.565	7.978	1.4%

46	IA6360010288	VA MEDICAL CENTER	62211	0.000	0.162	0.162	0.000	4.193
4.355	0.8%

47	IL0000903302	MEMORIAL MEDICAL CTR	339999	0.000	0.000	0.000	0.000
1.800	1.800	0.3%

48	IL1360090129	USVA WESTSIDE MEDICAL CTR	  NA	0.000	0.110	0.110	0.000
0.000 	0.110	< 0.1%

49	IL4360010371	US VA MEDICAL CENTER	  NA	0.000	0.005	0.005	0.000
2.410	2.415	0.4%

50	IL5360010263	V A MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000	3.482
3.482	0.6%

51	IL7360007283	USVA LAKESIDE MEDICAL CENTER	  NA	0.000	0.000	0.000
0.003	0.000 	0.003	< 0.1%

52	IL9360007299	VA MEDICAL CENTER	62211	0.000	0.000	0.000	0.000	1.400
1.400	0.3%

53	ILD000768473	CHILDRENS MEMORIAL HOSPITAL	  NA	0.000	0.188	0.188
0.000	6.705	6.893	1.2%

54	ILD075620179	MEMORIAL MEDICAL CENTER	62211	0.000	0.010	0.010	0.000
3.156	3.166	0.6%

55	ILR000124701	WESTSIDE VA MEDICAL CENTER	  NA	0.000	0.003	0.003
0.003	3.229	3.235	0.6%

56	ILT180019689	MT SINAI HOSPITAL	  NA	0.000	0.000	0.000	0.000	0.880
0.880	0.2%

57	IND072035603	ST VINCENT HOSPITAL AND HEALTH CARE CTR	  NA	0.000
0.122	0.122	0.000	0.116	0.237	< 0.1%

58	MA5360010388	NORTHAMPTON VA MEDICAL CENTER	62211	0.000	0.000	0.000
0.000	1.487	1.487	0.3%

59	MAD020673778	BERKSHIRE MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
0.925	0.925	0.2%

60	MAD041706300	LAHEY HITCHCOCK MEDICAL CENTER	  NA	0.000	0.366	0.366
0.005	11.366	11.737	2.1%

61	MAD053390399	BAYSTATE FRANKLIN MEDICAL CENTER	  NA	0.000	0.000
0.000	0.000	0.603	0.603	0.1%

62	MAD073797292	CARITAS ST ELIZABETHS MEDICAL CENTER	62211	0.000	0.000
0.000	0.000	8.414	8.414	1.5%

63	MAD075340232	UMASS MEMORIAL MEDICAL CENTER- MEMORIAL	62211	0.000
19.494	19.494	0.000	5.159	24.653	4.5%

64	MAD076569144	FAULKNER HOSPITAL	  NA	0.000	0.000	0.000	0.000	0.205
0.205	< 0.1%

65	MAD079237988	BAYSTATE MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
3.670	3.670	0.7%

66	MAD982202822	BRIGHAM AND WOMENS HOSPITAL	  NA	0.000	0.000	0.000
0.000	1.383	1.383	0.3%

67	MAD985269695	MOUNT AUBURN HOSPITAL	62211	0.000	0.000	0.000	0.000
10.494	10.494	1.9%

68	MAD985299965	BOSTON UNIVERSITY MEDICAL CENTER	  NA	0.000	0.000
0.000	0.000	6.697	6.697	1.2%

69	MAR000009514	BRIGHAM & WOMENS HOSPITAL	62211	0.000	0.060	0.060	0.000
2.182	2.242	0.4%

70	MAR000501338	UMASS MEMORIAL HEALTHCARE BIOTECH 1	621511	0.000	0.000
0.000	0.000	2.276	2.276	0.4%

71	MAR000503581	BRIGHAM & WOMENS HOSPITAL	54171	0.000	0.148	0.148	0.000
1.913	2.060	0.4%

72	MAR000504902	MASSACHUSETTS GENERAL HOSPITAL	54171	0.000	0.025	0.025
0.000	1.255	1.280	0.2%

73	MAR000505081	UMASS MEMORIAL HOSPITAL	62211	0.000	0.003	0.003	0.000
3.652	3.654	0.7%

74	MAR000512087	DANA FARBER CANCER INSTITUTE	62211	0.000	0.000	0.000
0.000	0.011	0.011	< 0.1%

75	MDD063234892	FRANKLIN SQUARE HOSPITAL INC	  NA	0.000	0.082	0.082
0.000	1.888	1.970	0.4%

76	MID060983871	HENRY FORD HOSPITAL	62211	0.000	0.000	0.000	0.000	0.775
0.775	0.1%

77	MID067359240	ST JOSEPH MERCY HOSPITAL / OAKLAND	62211	0.000	0.000
0.000	0.000	3.064	3.064	0.6%

78	MID069836047	INGHAM REGIONAL MEDICAL CENTER	62211	0.000	0.000	0.000
0.000	0.585	0.585	0.1%

79	MID072581812	BRONSON METHODIST HOSPITAL	62211	0.000	0.000	0.000	0.000
3.268	3.268	0.6%

80	MID073134603	HENRY FORD HOSPITAL	62211	0.000	0.289	0.289	0.000	1.301
1.590	0.3%

81	MID074209875	ST JOHN HOSPITAL & MEDICAL CTR	62211	0.000	0.000	0.000
0.000	2.778	2.778	0.5%

82	MID075444281	MCLAREN REGIONAL MEDICAL CENTER	  NA	0.000	0.000	0.000
0.000	1.563	1.563	0.3%

83	MID076362110	WILLIAM BEAUMONT HOSPITAL	62211	0.000	0.000	0.000	0.088
6.897	6.985	1.3%

84	MID079292512	SPECTRUM HEALTH	62211	0.000	0.046	0.046	0.000	4.162
4.208	0.8%

85	MID081611246	HENRY FORD HEALTH SYSTEM	621493	0.000	0.000	0.000	0.000
1.100	1.100	0.2%

86	MID099121469	WILLIAM BEAUMONT HOSPITAL	62211	0.000	0.000	0.000	0.000
0.484	0.484	0.1%

87	MID099662439	ST JOSEPH MERCY HEALTH SYSTEM	62211	0.000	0.000	0.000
0.040	8.257	8.297	1.5%

88	MID985584804	DETROIT MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
0.229	0.229	< 0.1%

89	MIR000017095	US DEPT/VETERANS AFFAIRS	62211	0.000	0.000	0.000	0.000
0.388	0.388	0.1%

90	MND071767222	REGIONS HOSPITAL	62211	0.000	0.000	0.000	0.000	1.682
1.682	0.3%

91	MND980613798	UNIVERSITY OF MINNESOTA DULUTH	  NA	0.000	0.000	0.000
0.000	0.013	0.013	< 0.1%

92	MO0360010292	VETERAN ADMINISTRATION HOSPITAL	  NA	0.000	0.000	0.000
0.000	1.728	1.728	0.3%

93	MO8360090031	V A MEDICAL CENTER JOHN COCHRAN DIV	62221	0.000	0.015
0.015	0.000	0.359	0.373	0.1%

94	MO9360090030	V A MEDICAL CENTER JOHN COCHRAN DIV	62221	0.000	0.110
0.110	0.000	0.021	0.130	< 0.1%

95	MOD051717478	BARNES JEWISH HOSPITAL SOUTH	62211	0.000	0.000	0.000
0.000	1.568	1.568	0.3%

96	MOD071958003	ST JOHNS MERCY MEDICAL CENTER	62211	0.000	0.213	0.213
0.000	0.674	0.887	0.2%

97	MOD071966725	BARNES JEWISH HOSPITAL NORTH	62211	0.000	0.000	0.000
0.000	5.869	5.869	1.1%

98	MOD073039653	ST LUKES HOSPITAL	62211	0.000	1.324	1.324	0.000	0.000
1.324	0.2%

99	MOD073067407	TRUMAN MEDICAL CTR	  NA	0.000	0.000	0.000	0.000	0.900
0.900	0.2%

100	MOD981719388	ST MARYS HEALTH CTR	  NA	0.000	0.041	0.041	0.000
1.730	1.771	0.3%

101	MOR000040071	CHILDRENS MERCY HOSPITAL	  NA	0.000	0.061	0.061	0.000
1.432	1.493	0.3%

102	MS5993200000	VETERAN AFFAIRS MEDICAL CENTER	  NA	0.000	0.413	0.413
0.000	4.379	4.792	0.9%

103	NC3360007287	VETERANS ADMIN MEDICAL CTR	  NA	0.000	0.284	0.284
0.000	0.270	0.554	0.1%

104	NC4360010389	VA MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000	0.550
0.550	0.1%

105	NCD982126989	PITT COUNTY MEMORIAL HOSPITAL	  NA	0.000	0.000	0.000
0.000	1.830	1.830	0.3%

106	NCD982130833	CAROLINAS HEALTHCARE SYSTEM	  NA	0.000	0.776	0.776
0.000	0.652	1.428	0.3%

107	NED000809475	UNIVERSITY OF NEBRASKA MEDICAL CTR	  NA	0.000	0.029
0.029	0.000	13.281	13.310	2.4%

108	NED043531607	NEBRASKA MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
8.167	8.167	1.5%

109	NED062259551	SAINT JOSEPH HOSPITAL	  NA	0.000	0.000	0.000	0.000
1.907	1.907	0.3%

110	NJ0360010375	DVA NJ HEALTH CARE SYSTEM, EAST ORANGE	62211	0.083
1.800	1.883	0.000	0.294	2.178	0.4%

111	NJD042797571	HACKENSACK UNIVERSITY MEDICAL CENTER	62211	0.000	0.859
0.859	0.000	8.700	9.559	1.7%

112	NJD045790045	ST PETERS MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
0.261	0.261	< 0.1%

113	NJD067520759	SAINT BARNABAS MEDICAL CENTER	62211	0.000	0.043	0.043
0.000	1.648	1.691	0.3%

114	NJD071183214	NEWARK BETH ISRAEL MEDICAL CTR	  NA	0.000	0.772	0.772
0.000	0.243	1.015	0.2%

115	NJD075516435	ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL	62211	0.000
0.001	0.001	0.000	0.390	0.391	0.1%

116	NY0000988949	STATEN ISLAND UNIVERSITY HOSPITAL NORTH	62211	0.000
0.000	0.000	0.000	0.080	0.080	< 0.1%

117	NY0360007280	VETERANS HEALTH ADMINISTRATION	62211	0.000	0.969	0.969
0.000	2.827	3.796	0.7%

118	NY3360007279	DEPARTMENT OF VETERANS AFFAIRS	62211	0.000	1.076	1.076
0.000	0.632	1.707	0.3%

119	NY4360010249	VETERANS ADMINISTRATION MEDICAL CENTER	  NA	0.000
0.000	0.000	0.000	0.422	0.422	0.1%

120	NYD041555665	BROOKLYN HOSPITAL INC	62211	0.000	0.367	0.367	0.000
1.005	1.372	0.2%

121	NYD041581026	MONTEFIORE MEDICAL CENTER	62221	0.072	1.820	1.892	0.000
10.932	12.823	2.3%

122	NYD052810801	NEW YORK METHODIST HOSPITAL	62211	0.000	0.075	0.075
0.000	2.482	2.557	0.5%

123	NYD060318250	NASSAU UNIVERSITY MEDICAL CENTER	62211	0.000	0.434
0.434	0.000	1.959	2.393	0.4%

124	NYD063864656	BROOKDALE UNIVERSITY HOSPITAL	62211	0.000	5.214	5.214
0.000	0.000	5.214	0.9%

125	NYD064727027	LONG ISLAND JEWISH MEDICAL CENTER	62211	0.000	3.326
3.326	0.000	0.625	3.951	0.7%

126	NYD065968513	NORTH SHORE UNIVERSITY HOSPITAL	621511	0.000	0.003
0.003	0.000	3.250	3.253	0.6%

127	NYD080523269	QUEENS HOSPITAL CENTER	  NA	0.000	0.173	0.173	0.000
2.355	2.528	0.5%

128	NYD108156977	WINTHROP UNIVERSITY HOSPITAL	62211	0.000	0.000	0.000
0.000	2.940	2.940	0.5%

129	NYD135495604	F D R VA HOSPITAL	  NA	0.000	0.500	0.500	0.000	2.700
3.200	0.6%

130	NYD980646780	UNITED HEALTH SERVICES INC DBA BING GE	  NA	0.000
0.000	0.000	0.000	0.150	0.150	< 0.1%

131	NYD981561301	HOSPITAL SPECIAL SURGERY	  NA	0.000	0.187	0.187	0.000
0.705	0.892	0.2%

132	NYD986904613	KINGS COUNTY HOSPITAL CTR	  NA	0.000	0.105	0.105
0.000	4.364	4.469	0.8%

133	NYD986914455	NYU SCHOOL OF MED - BELLEVUE HOSPITAL	61131	0.000	1.043
1.043	0.000	0.042	1.085	0.2%

134	NYD986994887	ST BARNABAS HOSPITAL	  NA	0.000	0.130	0.130	0.000
1.615	1.745	0.3%

135	NYR000053843	MAIMONIDES HEALTH SERVICES	  NA	0.190	0.002	0.192
0.000	0.000	0.192	< 0.1%

136	NYR000113894	ALBANY MEDICAL CENTER	62211	0.000	0.000	0.000	0.000
0.012	0.012	< 0.1%

137	NYR000115576	BRONX-LEBANON HOSPITAL CENTER	  NA	0.000	0.006	0.006
0.000	0.150	0.156	< 0.1%

138	NYR000118315	STATEN ISLAND UNIVERSITY HOSPITAL	62211	0.000	0.000
0.000	0.000	0.910	0.910	0.2%

139	NYR000124784	STATEN ISLAND UNIVERSITY HOSP - CONCORD	62211	0.000
0.000	0.000	0.000	0.007	0.007	< 0.1%

140	NYR000129056	WINTHROP UNIVERSITY HOSPITAL	62211	0.000	0.000	0.000
0.000	0.280	0.280	0.1%

141	NYR000134312	ST LUKES - ROOSEVELT HOSPITAL CENTER	62211	0.000	0.058
0.058	0.255	1.340	1.653	0.3%

142	OH7360011467	VA MEDICAL CTR	  NA	0.000	0.225	0.225	0.000 	1.784
2.009	0.4%

143	OH8360010369	US VA MEDICAL CTR	62211	0.000	0.000	0.000	0.204	0.000
0.204	< 0.1%

144	OH9360010368	VETERANS ADMIN MEDICAL CTR	  NA	0.000	1.992	1.992
0.000	1.388	3.381	0.6%

145	OHD046430013	CHILDRENS HOSPITAL	  NA	0.000	0.000	0.000	0.000	0.050
0.050	< 0.1%

146	OHD052859329	GRANT MEDICAL CTR	  NA	0.000	0.050	0.050	0.020	0.817
0.887	0.2%

147	OHD071284913	CHILDRENS HOSPITAL MEDICAL CENTER	  NA	0.000	1.656
1.656	0.000	7.871	9.527	1.7%

148	OHD071288450	KETTERING MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000
0.410	0.410	0.1%

149	OHD071289326	CHILDRENS MEDICAL CTR	  NA	0.000	0.222	0.222	0.000
0.158	0.380	0.1%

150	OHD093903433	GOOD SAMARITAN HOSPITAL OF CINCINNATI	  NA	0.000
0.000	0.000	0.000	0.502	0.502	0.1%

151	OHD097957534	UNIVERSITY HOSPITALS HEALTH SYSTEM	  NA	0.000	0.297
0.297	0.000	2.233	2.530	0.5%

152	OHD980586226	OHIO UNIVERSITY HEALTH CENTER I	  NA	0.000	0.000
0.000	0.000	0.021	0.021	< 0.1%

153	OHD982206963	RIVERSIDE METHODIST HOSPITALS	  NA	0.000	0.122	0.122
0.000	6.023	6.144	1.1%

154	OHR000123620	CLEVELAND CLINIC FOUNDATION - CANCER CTR	62211	0.000
0.000	0.000	0.000	0.013	0.013	< 0.1%

155	OK4360010314	US VA MEDICAL CENTER OKLAHOMA CITY	  NA	0.000	0.030
0.030	0.000	1.135	1.165	0.2%

156	PA0360010318	VETERANS ADMINISTRATION MEDICAL CENTER	  NA	0.000
0.822	0.822	0.069	0.594	1.485	0.3%

157	PA5360007293	VA MEDICAL CENTER	  NA	0.000	1.431	1.431	0.006	0.000
1.437	0.3%

158	PA7360007317	VA MEDICAL CENTER - WILKES-BARRE	  NA	0.000	0.842
0.842	0.000 	1.356	2.198	0.4%

159	PA9360007281	VA MEDICAL CENTER	  NA	0.000	0.762	0.762	0.006	2.579
3.347	0.6%

160	PA9360010319	VA MEDICAL CENTER #645	  NA	0.000	0.284	0.284	0.012
0.090	0.386	0.1%

161	PAD051595718	GEISINGER WYOMING VALLEY MEDICAL CTR	  NA	0.013	0.000
0.013	0.000	0.080	0.093	0.0%

162	PAD064379001	HAHNEMANN UNIVERSITY HOSPITAL	62211	0.000	0.610	0.610
0.000	2.922	3.532	0.6%

163	PAD069591238	GEISINGER MEDICAL CENTER	62211	0.000	0.287	0.287	0.072
0.990	1.348	0.2%

164	PAD071212153	YORK HOSPITAL	  NA	0.000	0.127	0.127	0.002	0.013
0.141	< 0.1%

165	PAD073664039	ST LUKES HOSPITAL	62211	0.000	0.145	0.145	0.000	3.808
3.953	0.7%

166	PAD094214947	ALLEGHENY GENERAL HOSPITAL	62211	0.000	0.000	0.000
0.000	0.126	0.126	< 0.1%

167	PAD981739600	JEFFERSON HOSPITAL	  NA	0.000	0.000	0.000	0.000	0.808
0.808	0.1%

168	PAD987319241	MERCY HOSPITAL	  NA	0.000	0.095	0.095	0.000	1.313
1.407	0.3%

169	PR3360090010	DEPT OF VETERANS AFFAIRS VA MEDICAL CTR	  NA	0.000
0.000	0.000	0.000	5.336	5.336	1.0%

170	RI4360007310	US V A MEDICAL CENTER PROVIDENCE	62211	0.000	0.000
0.000	0.000	0.907	0.907	0.2%

171	RID063902704	MIRIAM HOSPITAL INC THE	62211	0.000	0.000	0.000	0.000
4.213	4.213	0.8%

172	RID069852580	MEMORIAL HOSPITAL OF RI	62211	0.000	0.259	0.259	0.000
0.684	0.943	0.2%

173	RID075687665	WILLIAMS ROGER HOSPITAL	62211	0.000	0.000	0.000	0.000
2.713	2.713	0.5%

174	RID987480373	WOMEN & INFANTS HOSPITAL	  NA	0.000	0.000	0.000	0.000
0.189	0.189	< 0.1%

175	RIR000500835	WOMEN & INFANTS HOSPITAL	  NA	0.000	0.000	0.000	0.000
3.453	3.453	0.6%

176	RIR000502625	RHODE ISLAND HOSPITAL CORO WEST	  NA	0.000	0.000
0.000	0.000	0.496	0.496	0.1%

177	SCD982083354	GREENVILLE HOSPITAL SYSTEM	62211	0.000	0.000	0.000
0.000	1.910	1.910	0.3%

178	SD1360090061	V A MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000	0.073
0.073	< 0.1%

179	TN0360016166	VA MEDICAL CENTER	62231	0.000	0.000	0.000	0.000	2.867
2.867	0.5%

180	TND981747314	METHODIST HOSPITALS OF MEMPHIS (LABORATO	621511	0.000
0.000	0.000	0.000	1.044	1.044	0.2%

181	TND981865363	ALVIN C YORK VA MEDICAL CENTER	62221	0.000	0.085	0.085
0.000	3.630	3.715	0.7%

182	TXD037318359	UNIVERSITY HEALTH SYSTEM	621511	0.000	0.032	0.032	0.000
2.281	2.312	0.4%

183	TXD071371686	BAYLOR UNIVERSITY MEDICAL CENTER	  NA	0.000	0.336
0.336	0.000	4.934	5.270	1.0%

184	TXD078546348	MEDICAL CENTER HOSPITAL	  NA	0.000	0.000	0.000	0.000
4.150	4.150	0.8%

185	TXD092936210	UT HEALTH CENTER AT TYLER	  NA	0.000	0.000	0.000
0.000	3.716	3.716	0.7%

186	TXD093742229	UT HEALTH SCIENCE CENTER SAN ANTONIO	  NA	0.000	0.000
0.000	0.000	6.378	6.378	1.2%

187	TXD981587876	SCOTT AND WHITE MEMORIAL HOSPITAL	  NA	0.000	0.297
0.297	0.000	0.000	0.297	0.1%

188	TXR000062885	BAYLOR HEALTH CARE SYSTEM	  NA	0.000	0.000	0.000
0.000	0.115	0.115	< 0.1%

189	UT9360090048	V A MEDICAL CENTER	  NA	0.000	2.417	2.417	0.000	0.864
3.281	0.6%

190	VA3360010323	VETERANS ADMINISTRATION MEDICAL CENTER	  NA	0.000
0.647	0.647	0.000	1.282	1.929	0.3%

191	VA7360090016	V A MEDICAL CENTER	  NA	0.000	0.251	0.251	0.000	1.618
1.869	0.3%

192	VA9360010293	VETERANS ADMIN MEDICAL CENTER	  NA	0.000	0.050	0.050
0.000	1.659	1.709	0.3%

193	VAD982662728	SENTARA NORFOLK GENERAL HOSPITAL	  NA	0.040	0.030
0.070	0.000	2.617	2.687	0.5%

194	VTD053404034	V A MEDICAL & REGIONAL OFFICE CENTER	62211	0.000	0.000
0.000	0.000	5.769	5.769	1.0%

195	VTD060525151	FLETCHER ALLEN H C-MCHV CAMPUS	62211	0.000	0.000	0.000
0.000	4.757	4.757	0.9%

196	VTD988367231	FLETCHER ALLEN H C-UHC CAMPUS	62211	0.000	0.000	0.000
0.000	0.279	0.279	0.1%

197	WAD048682157	CHILDRENS HOSPITAL & REGIONAL MED CTR	62231	0.000	0.090
0.090	0.000	2.092	2.182	0.4%

198	WI2360010340	USVA MEDICAL CENTER	  NA	0.000	0.000	0.000	0.000
0.092	0.092	< 0.1%

199	WI8210890002	USVA ZABLOCKI MEDICAL CENTER	62211	0.000	0.000	0.000
0.000	4.805	4.805	0.9%

200	WID054103742	ST LUKES HOSPITAL ASSOC	  NA	0.000	0.004	0.004	0.000
0.812	0.816	0.1%

201	WID071793673	LUTHERAN HOSPITAL LA CROSSE	  NA	0.000	0.000	0.000
0.000	0.297	0.297	0.1%

202	WVD980720932	WVU-EHS HOSPITAL CORP	  NA	0.000	0.000	0.000	0.000
0.651	0.651	0.1%

Total Hazardous Waste Quantity (tons)	0.442	99.232	99.674	1.204	450.526
551.403	100.0%

Percent of All Waste Quantity	0.1%	18.0%	18.1%	0.2%	81.7%	100.0%

a  Includes hazardous wastes generated at CU medical centers and
hospitals.  These hazardous wastes include wastes that have the word
“hospital,” “medical,” “medical center,” and/or “clinic”
in the waste description field and/or site name.

b  Excludes remediation wastes.  These hazardous wastes include:  (1)
wastes that have the word “remediation," “cleanup," “clean-up,"
“media," and/or “soil” in the waste description field or (2)
wastes represented by BR source codes G41 through G49.

c  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., Biennial Report,
notification).

NA	Not Available

Exhibit B-2

Teaching Hospitals Affiliated with a College or University – SQGs:

Number of Generators and Total Quantity of Laboratory Waste (in tons),
by Source Code (2005) a

Source Code	Source Code Description	Number Generators	Laboratory Waste
Quantity	Average Laboratory Waste Quantity per Generator	Percent of
Total Laboratory Waste Quantity

Wastes from Ongoing Production and Service Process

G07	Product and by-product processing 	1	0.088	0.088	0.1%

G08	Removal of spent process liquids or catalysts	1	0.113	0.113	0.1%

Other Intermittent Events or Processes

G11	Discarding off-specification or out-of-date chemicals or products	7
12.767	1.824	12.8%

G15	Process equipment change-out or discontinuation of equipment use	1
0.132	0.132	0.1%

Pollution Control and Waste Management Process Residuals

G22	Laboratory analytical wastes (used chemicals)	8	29.326	3.666	29.4%

G24	Solvent or product distillation or recovery (sludge, waste)	1	3.560
3.560	3.6%

Spills and Accidental Releases

G32	Cleanup of spill residues	1	0.095	0.095	0.1%

No Available Information on Source Code

No Available Information on Source Code b	92	53.593	0.583	53.8%

Total	103 c	99.674	0.968	100.0%

a  Includes hazardous wastes generated at CU medical centers and
hospitals.  These hazardous wastes include wastes that have the word
“hospital,” “medical,” “medical center,” and/or “clinic”
in the waste description field and/or site name.

b  Hazardous waste data were obtained from WR Forms of the BR, which do
not include a source code data element.  As a result, source code
information is not available for these hazardous wastes.

c  Total number of generators is not additive because a site may
generate hazardous wastes from more than one process or activity (i.e.,
source code).

Exhibit B-3

Teaching Hospitals Affiliated with a College or University – SQGs:

Number of Generators and Total Quantity of Laboratory

Waste (in tons), by Waste Code Group (2005) a

Waste Code Group	Number Generators	Laboratory Waste Quantity	Average
Laboratory Waste Quantity per Generator	Percent of Total Laboratory
Waste Quantity

F003	22	20.555	0.934	20.6%

F1_5	19	16.994	0.894	17.0%

LABP	25	12.293	0.492	12.3%

ICR	22	9.183	0.417	9.2%

D001 	35	8.243	0.236	8.3%

U&PS	6	7.484	1.247	7.5%

No Waste Code Reported	3	3.363	1.121	3.4%

D002 	36	3.150	0.087	3.2%

UMIX	15	3.035	0.202	3.0%

TCMT	15	2.490	0.166	2.5%

D008 	12	2.201	0.183	2.2%

U122	4	2.157	0.539	2.2%

D009 	37	1.978	0.053	2.0%

P030 	1	0.987	0.987	1.0%

U188	11	0.926	0.084	0.9%

D011 	21	0.824	0.039	0.8%

D005 	5	0.643	0.129	0.6%

D007	11	0.513	0.047	0.5%

D006 	3	0.439	0.146	0.4%

U154	4	0.398	0.099	0.4%

F005 	2	0.367	0.183	0.4%

U228 	1	0.229	0.229	0.2%

F002 	3	0.222	0.074	0.2%

D022 	3	0.158	0.053	0.2%

DMIX	4	0.097	0.024	0.1%

TCORICR	3	0.092	0.031	0.1%

P098	3	0.085	0.028	0.1%

U002	3	0.066	0.022	0.1%

U058 	3	0.064	0.021	0.1%

U044 	3	0.060	0.020	0.1%

D004 	2	0.047	0.023	< 0.1%

U123	1	0.038	0.038	< 0.1%

P087 	3	0.037	0.012	< 0.1%

P012	2	0.032	0.016	< 0.1%

U010 	2	0.028	0.014	< 0.1%

PMIX	4	0.027	0.007	< 0.1%

U162	1	0.023	0.023	< 0.1%

U239 	1	0.023	0.023	< 0.1%

P005 	1	0.021	0.021	< 0.1%

U117	1	0.020	0.020	< 0.1%

U093	1	0.014	0.014	< 0.1%

D003 	3	0.013	0.004	< 0.1%

U115	2	0.011	0.006	< 0.1%

U069 	1	0.010	0.010	< 0.1%

P105 	4	0.010	0.002	< 0.1%

U246	2	0.008	0.004	< 0.1%

P106 	3	0.006	0.002	< 0.1%

P022	1	0.005	0.005	< 0.1%

U007 	1	0.005	0.005	< 0.1%

U151 	1	0.004	0.004	< 0.1%

U075 	1	0.004	0.004	< 0.1%

P042 	1	0.001	0.001	< 0.1%

P075 	1	0.001	0.001	< 0.1%

P112	1	0.001	0.001	< 0.1%

U134 	1	0.001	0.001	< 0.1%

P016 	1	0.000	< 0.001	< 0.1%

P108 	1	0.000	< 0.001	< 0.1%

Total	103 b	99.674	0.968	100.0%

a  Includes hazardous wastes generated at CU medical centers and
hospitals.  These hazardous wastes include wastes that have the word
“hospital,” “medical,” “medical center,” and/or “clinic”
in the waste description field and/or site name.

b  Total number of generators is not additive because a site may
generate hazardous wastes in more than one waste code group.

Exhibit B-4

Teaching Hospitals Affiliated with a College or University – SQGs:

List of Sites for Which 2005 Hazardous Waste Generation Data Are Not
Available

No.	EPA ID	Site Name	Primary

NAICS Code a

1	CA0214990608	USVA JERRY L PETTIS VETERANS HOSPITAL	NA

2	CAD982463150	UC DAVIS MEDICAL CENTER EH&S	56111

3	CAD982463473	UC DAVIS MEDICAL CENTER EH&S	NA

4	CAD982463481	UC DAVIS MEDICAL CENTER EH&S	56111

5	CAD982463499	UC DAVIS MEDICAL CENTER EH&S	NA

6	CAR000011313	UCSF/SAN FRANCISCO GENERAL HOSPITAL	61171

7	CAR000031492	UCSF MEDICAL CENTER AT PARNASSUS	62211

8	CAT080016892	LA USC MEDICAL CENTER	62211

9	CO7360010279	VA MEDICAL CENTER	NA

10	GAD981268139	MEMORIAL HEALTH UNIVER MED CTR	NA

11	ILD076891688	RUSH NORTH SHORE MEDICAL CENTER	NA

12	ILD984841643	ST JOHNS HOSPITAL	NA

13	KYD074055807	JEWISH HOSPITAL INC.	62211

14	MAR000504910	MASSACHUSETTS GENERAL HOSPITAL	54171

15	MD2360090003	VETERANS ADMIN MEDICAL CTR	NA

16	MIK117811760	DETROIT MEDICAL CENTER	62231

17	MIK266795541	DETROIT MEDICAL CENTER	62211

18	MOD985772425	ST JOHNS MERCY HOSPITAL	NA

19	MOR000023663	ST LOUIS UNIVERSITY HOSPITAL	62211

20	OHD041635665	AKRON GENERAL MEDICAL CTR	NA

21	OHD060412509	AULTMAN HEALTH FOUNDATION	NA

22	OHD074702911	ST ELIZABETH MEDICAL CENTER	NA

23	OHD093938652	KETTERING MEDICAL CENTER	NA

24	PAD068759463	MERCY HOSPITAL OF PITTSBURGH	NA

25	PAD080728900	VETERANS ADMINISTRATION	62211

26	PAD981106198	EINSTEIN, ALBERT MEDICAL CENTER	62211

27	PAD982566465	CHILDRENS HOSPITAL OF PITTSBURGH	NA

28	PAR000506394	MERCY HOSPITAL KENNA LABORATORY	NA

29	RIR000505495	MIRIAM HOSPITAL - RISE RESEARCH CENTER	54171

30	RIR000505503	MIRIAM HOSPITAL-OUTPATIENT DIAG IMAG CTR	62149

31	SD9360090063	VA MEDICAL CENTER	NA

32	TXD092902261	METHODIST SPECIALTY AND TRANSPLANT HOSPI	62211

33	VAD077933315	CARILION HEALTH SYSTEM	62211

a  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., notification).

NA	Not Available

Exhibits B-5 through B-7

Teaching Hospitals Affiliated with a College or University

Conditionally Exempt Small Quantity Generators (CESQGs)

[Page intentionally left blank.]

Exhibit B-5

Teaching Hospitals Affiliated with a College or University – CESQGs:

List of Sites for Which 2005 Hazardous Waste Generation Data Are
Available a, b

No.	EPA ID	Site Name	Primary NAICS Code c	Hazardous Laboratory Wastes
Hazardous C&D Waste	Other Hazardous Waste	All Hazardous Waste	Percent of
Total Hazardous Waste Quantity

Photo Laboratory Waste	Other Laboratory Waste	Total

1	ALR000010975	CENTRAL AL VETERANS HEALTH CARE SYSTEM	62211	0.000	0.000
0.000	0.000	0.272	0.272	1.5%

2	AR0360010268	US DEPT VETERANS AFFAIRS-VA MED CTR	62211	0.000	0.000
0.000	0.000	0.872	0.872	4.8%

3	CTD077314656	ST FRANCIS HOSPITAL & MEDICAL CTR	NA	0.000	0.000	0.000
0.000	0.103	0.103	0.6%

4	CTD145463469	BRIDGEPORT HOSPITAL	NA	0.000	0.000	0.000	0.000	0.430
0.430	2.4%

5	DCD981743479	GEORGE WASHINGTON UNIVERSITY HOSPITAL	NA	0.000	0.125
0.125	0.000	0.959	1.084	5.9%

6	GA4360010264	VINSON CARL V A MEDICAL CENTER	NA	0.000	0.000	0.000	0.000
0.350	0.350	1.9%

7	IA9360090030	VETERANS ADMINISTRATION MED CTR	62211	0.000	0.000	0.000
0.000	0.554	0.554	3.0%

8	IN1360010275	US VA MEDICAL CTR	NA	0.000	0.000	0.000	0.000	0.880	0.880
4.8%

9	IN8360010286	VA MEDICAL CTR 0025	NA	0.000	0.000	0.000	0.000	0.655
0.655	3.6%

10	KYD074072596	VA MEDICAL CENTER	NA	0.000	0.000	0.000	0.000	1.056	1.056
5.8%

11	LA4360010330	US VA OVERTON BROOKS VA MEDICAL CNTR	62211	0.000	0.275
0.275	0.000	0.190	0.464	2.5%

12	LA7360010311	US VA MEDICAL CENTER NEW ORLEANS	62211	0.000	0.235	0.235
0.000	0.343	0.578	3.2%

13	LAD050637479	MEMORIAL MEDICAL CTR BAPTIST CAMPUS	61131	0.000	0.125
0.125	0.000	0.000	0.125	0.7%

14	LAR000000869	BATON ROUGE GENERAL HEALTH CENTER	62211	0.000	0.000
0.000	0.000	0.015	0.015	0.1%

15	MDR000011221	JOHNS HOPKINS HEALTH SYSTEMS	NA	0.000	0.167	0.167	0.000
0.000	0.167	0.9%

16	MI6360010239	US DEPT/VETERANS AFFAIRS	62211	0.000	0.000	0.000	0.000
1.141	1.141	6.3%

17	MID985568195	OAKWOOD HOSPITAL	62211	0.000	0.000	0.000	0.000	0.072
0.072	0.4%

18	MN0000078139	HENNEPIN COUNTY HEALTH SERVICE BUILDING	NA	0.000	0.000
0.000	0.000	0.008	0.008	< 0.1%

19	MNR000020628	HEALTHPARTNERS SPRING LAKE PARK	NA	0.000	0.000	0.000
0.000	0.091	0.091	0.5%

20	MNR000060970	ALLINA MEDICAL CENTER - RAMSEY	NA	0.676	0.000	0.676
0.000	0.000	0.676	3.7%

21	MOD985801661	ST LOUIS CHILDRENS HOSPITAL	621491	0.000	0.000	0.000
0.000	0.116	0.116	0.6%

22	NC4360031047	VETERANS AFFAIRS MEDICAL CENTER	62221	0.000	0.000	0.000
0.000	0.542	0.542	3.0%

23	NDD986269538	MERITCARE HEALTH SYSTEMS	621511	0.000	0.005	0.005	0.000
0.756	0.761	4.2%

24	NY9360010251	VETERANS ADMINISTRATION MEDICAL CENTER	NA	0.000	0.000
0.000	0.000	0.134	0.134	0.7%

25	NYD073258493	BRONX LEBANON HOSPITAL CENTER	62211	0.000	0.000	0.000
0.000	1.015	1.015	5.6%

26	NYD078181021	CONEY ISLAND HOSPITAL	NA	0.000	0.021	0.021	0.000	0.835
0.856	4.7%

27	NYD083723221	LINCOLN MED & MENTAL HEALTH CTR	NA	0.000	0.349	0.349
0.000	0.002	0.351	1.9%

28	NYD174310839	HOSPITAL OF ALBERT EINSTEIN	NA	0.000	0.000	0.000	0.000
1.069	1.069	5.9%

29	NYD986907178	N S U HOSPITAL AT GLEN COVE	NA	0.000	0.008	0.008	0.005
0.582	0.595	3.3%

30	OH6360010254	USVA MEDICAL CENTER	NA	0.000	0.000	0.000	0.000	0.054
0.054	0.3%

31	OHD077785525	CHILDRENS HOSPITAL MED CTR	NA	0.000	0.000	0.000	0.000
0.780	0.780	4.3%

32	OHR000118679	CLEVELAND CLINIC WILLOUGHBY HILLS	62211	0.000	0.000
0.000	0.000	0.020	0.020	0.1%

33	PA4360010256	VA MEDICAL CTR	621399	0.000	0.342	0.342	0.000	0.225
0.567	3.1%

34	PAD108538026	PRESBYTERIAN U OF PA MEDICAL CENTER	NA	0.000	0.180	0.180
0.000	0.265	0.445	2.4%

35	TND063189898	JOHNSON CITY MEDICAL CENTER HOSPITAL	62211	0.000	0.000
0.000	0.000	0.221	0.221	1.2%

36	WI0000008052	CHILDRENS HOSPITAL	NA	0.000	0.485	0.485	0.000	0.188
0.672	3.7%

37	WV5360007301	V A MEDICAL CENTER	NA	0.000	0.191	0.191	0.005	0.231
0.426	2.3%

38	WVD072684152	CABELL HUNTINGTON HOSPITAL	62211	0.000	0.000	0.000	0.000
0.021	0.021	0.1%

Total Hazardous Waste Quantity (tons)	0.676	2.506	3.182	0.010	15.043
18.234	100.0%

Percent of All Waste Quantity	3.7%	13.7%	17.4%	0.1%	82.5%	100.0%

a  Includes hazardous wastes generated at CU medical centers and
hospitals.  These hazardous wastes include wastes that have the word
“hospital,” “medical,” “medical center,” and/or “clinic”
in the waste description field and/or site name.

b  Excludes remediation wastes.  These hazardous wastes include:  (1)
wastes that have the word “remediation," “cleanup," “clean-up,"
“media," and/or “soil” in the waste description field or (2)
wastes represented by BR source codes G41 through G49.

c  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., Biennial Report,
notification).

NA	Not Available

Exhibit B-6

Teaching Hospitals Affiliated with a College or University – CESQGs:

Number of Generators and Total Quantity of Laboratory

Waste (in tons), by Waste Code Group (2005) a

Waste Code Group	Number Generators	Laboratory Waste Quantity	Average
Laboratory Waste Quantity per Generator	Percent of Total Laboratory
Waste Quantity

LABP	5	1.144	0.229	35.9%

D011 	2	0.680	0.340	21.4%

F003	3	0.381	0.127	12.0%

U122	1	0.235	0.235	7.4%

F005	1	0.225	0.225	7.1%

ICR	1	0.207	0.207	6.5%

D002 	4	0.152	0.038	4.8%

UMIX	1	0.058	0.058	1.8%

D001 	2	0.027	0.013	0.8%

TCMT	1	0.023	0.023	0.7%

TCORICR	1	0.021	0.021	0.6%

F1_5	1	0.014	0.014	0.4%

P087 	1	0.005	0.005	0.2%

D009	1	0.005	0.005	0.1%

D008 	1	0.005	0.005	0.1%

D007	1	0.005	0.005	0.1%

Total	14 b	3.182	0.227	100.0%

a  Includes hazardous wastes generated at CU medical centers and
hospitals.  These hazardous wastes include wastes that have the word
“hospital,” “medical,” “medical center,” and/or “clinic”
in the waste description field and/or site name.

b  Total number of generators is not additive because a site may
generate hazardous wastes in more than one waste code group.

Exhibit B-7

Teaching Hospitals Affiliated with a College or University – CESQGs:

List of Sites for Which 2005 Hazardous Waste Generation Data Are Not
Available

No.	EPA ID	Site Name	Primary

NAICS Code a

1	DER000002667	HEALTHCARE CENTER AT CHRISTIANA	NA

2	IA6360007292	VA MEDICAL CENTER	62211

3	IAR000502922	IOWA HEALTH - DES MOINES	62211

4	ID8360010245	US VA MEDICAL CENTER	NA

5	ILD984900340	RUSH MEDICAL CTR TECH 2000	NA

6	IND982064271	WISHARD MEMORIAL HOSPITAL	325413

7	KY0360090005	VETERANS ADMINISTRATION HOSPITAL	NA

8	KYD130399363	UNIVERSITY OF LOUISVILLE HOSPITAL	62211

9	LA0360010235	US VETERANS AFFAIRS MEDICAL CTR	62211

10	LAD981911274	LSU LALLIE KEMP MED CNTR	62211

11	MAD982543118	BAYSTATE MEDICAL CENTER	NA

12	MAD982753097	MA GENERAL HOSPITAL	NA

13	MD9360007273	VA MEDICAL CENTER #512	NA

14	MID074232273	HURLEY MEDICAL CTR	62211

15	MID147968085	SPECTRUM HEALTH KENT COMMUNITY CAMPUS	62211

16	MIK226762441	SPECTRUM HEALTH	621511

17	MIK424592327	SPECTRUM HEALTH	NA

18	MIK454797432	MERCY HOSPITAL PORT HURON	62211

19	MIK865252886	ST JOSEPH MERCY WOODLAND HEALTH CENTER	62111

20	MIR000102467	BEAUMONT HOSPITAL  TROY EASTERN	62211

21	MIR000102749	TAWAS ST JOSEPH HOSPITAL	62211

22	MIR000103275	WILLIAM BEAUMONT HOSPITAL	62211

23	MN0000061572	HENNEPIN COUNTY FAMILY MEDICAL CENTER	NA

24	MN0000807412	HEALTHPARTNERS DENTAL - MALL OF AMERICA	NA

25	MN0000880849	HENNEPIN COUNTY PILOT CITY HEALTH	NA

26	MND120015334	HEALTHPARTNERS	NA

27	MND120016597	HEALTHPARTNERS - WHITE BEAR LAKE	NA

28	MND134380054	HENNEPIN COUNTY PILOT CITY HEALTH CENTER	NA

29	MND985674571	HEALTHPARTNERS MAPLEWOOD	NA

30	MND985674670	HEALTHPARTNERS PHYSICIANS CLINIC	NA

31	MND985674688	HEALTHPARTNERS COMO	NA

32	MND985674696	HEALTHPARTNERS ST PAUL	NA

33	MND985700798	HEALTHPARTNERS ARDEN HILLS	NA

34	MND985762277	U OF M COMMUNITY HEALTHCARE	NA

35	MNR000020552	HEALTHPARTNERS COON RAPIDS MEDICAL	NA

36	MNR000026393	HEALTHPARTNERS WOODBURY	NA

37	MNR000118521	HEALTHPARTNERS WOODBURY DENTAL	62121

38	MNS000113191	ALLINA HOSPITALS & CLINICS	62211

39	MOD076262500	ST JOHNS MEDICAL CTR	62211

40	MOR000020255	ST LUKES NORTHLAND HOSPITAL	62211

41	MOR000039545	ST LUKES NORTHLAND HOSPITAL	62211

42	MS3360012949	US VA MEDICAL CENTER	NA

43	MS4993200001	VA GULF COAST VETRANS HEALTH CARE SYSTEM	NA

44	NCD024607202	PITT COUNTY MEMORIAL HOSPITAL TRANS SVC	48849

45	ND2360007288	VA MEDICAL & REGIONAL OFFICE CENTER	62211

46	NE7360090024	VETERANS ADMINISTRATION MEDICAL CENTER	NA

47	NYD986962843	SUNY UNIVERSITY HOSPITAL	NA

48	NYN008014219	KALEIDA HEALTH - COLUMBUS COMM HLTH CTR	NA

49	NYR000004051	MAIMONIDES HEALTH SERVICES BROOKLYN	NA

50	NYR000064642	BELLEVUE HOSPITAL	NA

51	NYR000107565	V A MEDICAL CENTER	NA

52	NYR000114207	MONTEFIORE MEDICAL CENTER	62151

53	OR2360010324	US VA ROSEBURG HEALTHCARE SYST	62211

54	PAD068731892	UPMC SHENANGO VALLEY	62211

55	PAD073741282	TEMPLE UNIVERSITY EPISCOPAL HOSPITAL	62211

56	PRD987376068	RAMON RUIZ ARNAU UNIVERSITY HOSPITAL	NA

57	SCR000076000	GREENVILLE HOSPITAL SYSTEM E AMBUL CAM	NA

58	TND980711055	METHODIST HEALTHCARE-NORTH HOSPITAL	621511

59	TND980711063	METHODIST HEALTHCARE-SOUTH HOSPITAL	621511

60	TND981027816	REGIONAL MEDICAL CENTER AT MEMPHIS	621511

61	TX0000050385	MEMORIAL HERMANN SOUTHWEST HOSPITAL	62211

62	TX0000110999	ZALE LIPSHY UNIVERSITY HOSPITAL	62231

63	VTD060544236	FLETCHER ALLEN H C-FANNY ALLEN CAMPUS	62211

64	VTR000004671	FLETCHER ALLEN H C-GIVEN HEALTH CARE	621111

65	VTR000004697	FLETCHER ALLEN HEALTH CARE	NA

66	WI0360007298	USVA WM S MIDDLETON MEMORIAL HOSPITAL	NA

67	WID073830796	ST LUKES HOSPITAL	NA

68	WV0360010284	V A MEDICAL CENTER	NA

69	WV8360090007	VA MEDICAL CENTER	NA

70	WVD982698979	CAMC GENERAL DIVISION	62211

a  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., notification).

NA	Not Available

[Page intentionally left blank.]

Exhibits B-8 through B-14

Non-Profit Research Institutes Affiliated with a College or University

Small Quantity Generators (SQGs)

[Page intentionally left blank.]

Exhibit B-8

Non-Profit Research Institutes Affiliated with a College or University
– SQGs:

List of Sites for Which 2005 Hazardous Waste Generation Data Are
Available a

No.	EPA ID	Site Name	Primary NAICS Code b	Hazardous Laboratory Wastes
Hazardous C&D Waste	Other Hazardous Waste	All Hazardous Waste	Percent of
Total Hazardous Waste Quantity

Photo Laboratory Waste	Other Laboratory Waste	Total

1	CAR000056721	E GALLO CLINIC AND RESEARCH CTR	NA	0.000	0.160	0.160
0.000	1.527	1.687	10.5%

2	MAD059709394	CBR INSTITUTE FOR BIOMEDICAL RESEARCH	54171	0.000	0.000
0.000	0.000	0.112	0.112	0.7%

3	MAD073826000	SCHEPENS EYE RESEARCH INSTITUTE INC	621511	0.000	0.000
0.000	0.000	0.612	0.612	3.8%

4	MDD981946890	AMERICAN RED CROSS HOLLAND LAB	54171	0.000	4.242	4.242
0.000	0.158	4.400	27.4%

5	MIR000040949	VANANDEL RESEARCH INSTITUTE	54171	0.000	0.000	0.000	0.000
2.174	2.174	13.6%

6	MOD055453187	STOWERS INSTITUTE FOR MEDICAL RESEARCH	54171	0.000	2.348
2.348	0.000	0.029	2.376	14.8%

7	NYD065968786	COLD SPRING HARBOR LABORATORY	54171	0.000	3.702	3.702
0.000	0.668	4.369	27.3%

8	PAD987393816	MAGEE-WOMENS RESEARCH INSTITUTE	NA	0.000	0.000	0.000
0.000	0.303	0.303	1.9%

Total Hazardous Waste Quantity (tons)	0.000	10.451	10.451	0.000	5.580
16.031	100.0%

Percent of All Waste Quantity	0.0%	65.2%	65.2%	0.0%	34.8%	100.0%

a  Excludes remediation wastes.  These hazardous wastes include:  (1)
wastes that have the word “remediation," “cleanup," “clean-up,"
“media," and/or “soil” in the waste description field or (2)
wastes represented by BR source codes G41 through G49.

b  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., Biennial Report,
notification).

NA	Not Available

Exhibit B-9

Non-Profit Research Institutes Affiliated with a College or University
– SQGs:

Number of Generators and Total Quantity of Laboratory Waste (in tons),
by Source Code (2005)

Source Code	Source Code Description	Number Generators	Laboratory Waste
Quantity	Average Laboratory Waste Quantity per Generator	Percent of
Total Laboratory Waste Quantity

Wastes from Ongoing Production and Service Process

G09	Other production or service-related processes	1	3.536	3.536	33.8%

Other Intermittent Events or Processes

G11	Discarding off-specification or out-of-date chemicals or products	1
0.005	0.005	< 0.1%

No Available Information on Source Code

No Available Information on Source Code a	4	6.911	1.728	66.1%

Total	4 b	10.451	2.613	100.0%

a  Hazardous waste data were obtained from WR Forms of the BR, which do
not include a source code data element.  As a result, source code
information is not available for these hazardous wastes.

b  Total number of generators is not additive because a site may
generate hazardous wastes from more than one process or activity (i.e.,
source code).

Exhibit B-10

Non-Profit Research Institutes Affiliated with a College or University
– SQGs:

Number of Generators and Total Quantity of Laboratory Waste (in tons),
by Waste Code Group (2005)

Waste Code Group	Number Generators	Laboratory Waste Quantity	Average
Laboratory Waste Quantity per Generator	Percent of Total Laboratory
Waste Quantity

LABP	2	4.403	2.202	42.1%

DMIX	1	3.536	3.536	33.8%

F003	1	2.344	2.344	22.4%

F1_5	1	0.160	0.160	1.5%

U188 	1	0.004	0.004	< 0.1%

D009 	1	0.004	0.004	< 0.1%

PMIX	1	0.001	0.001	< 0.1%

Total	4 a	10.451	2.613	100.0%

a  Total number of generators is not additive because a site may
generate hazardous wastes in more than one waste code group.

Exhibit B-11

Non-Profit Research Institutes Affiliated with a College or University
– SQGs:

List of Sites for Which 2005 Hazardous Waste Generation Data Are Not
Available

No.	EPA ID	Site Name	Primary

NAICS Code a

1	LAD062649249	MARY BIRD PERKINS CANCER CENTER	NA

2	MDD982675969	IIT RESEARCH INSTITUTE	NA

3	MID985657097	MANA QUALITY RESEARCH BLDG	NA

4	NYR000037358	ELECTRIC POWER RESEARCH INSTITUTE	NA

a  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., notification).

NA	Not Available

Exhibit B-12

List of Sites That Are Not Non-Profit Research

Institutes Affiliated with a College or University – SQGs

No.	EPA ID	Site Name	Primary

NAICS Code a

1	ARD983287442	CHARLES RIVER LABORATORIES, ARKANSAS DIV	54171

2	AZD983481847	SUN HEALTH RESEARCH INSTITUTE	621511

3	CA0000033860	TANABE RESEARCH LABORATORIES USA INC	54119

4	CAD024608739	LUCAS FILM LTD	54171

5	CAD052841459	ENVIRONMENTAL ENGINEERING LAB	54171

6	CAD067767038	PLASTICS RESEARCH CORPORATION	NA

7	CAD076296813	PALO ALTO RESEARCH CENTER INC	NA

8	CAD080709553	SYNGENTA CROP PROTECTION, INC	54171

9	CAD980884035	FLEXICS. INC.	54171

10	CAD981390750	WHITNEY RESEARCH TOOL CO	NA

11	CAD981449366	CELERA DIAGNOSTICS LLC	54171

12	CAD981687296	L H RESEARCH	NA

13	CAD981994387	XYRONYX INCORPORATED	54171

14	CAD981994494	TREGA BIOSCIENCES, INC.	54171

15	CAD982407587	CINEMA RESEARCH CORP	51211

16	CAD982433468	TANABE RESEARCH LABORATORIES	54171

17	CAD982500878	PALO ALTO MEDICAL FOUNDATION	54171

18	CAD983635947	WESTERN AEROSPACE INSPECTION	54171

19	CAR000015214	MURAD RESEARCH LABORATORIES	NA

20	CAR000087726	THE SCRIPPS RESEARCH INSTITUTE	NA

21	CAR000088641	PERLEGEN SCIENCES INC	54171

22	CAR000108043	SCRIPPS RESEARCH INSTITUTE	NA

23	CAR000148957	MURAD SKIN RESEARCH LABS INC WAREHOUSE	49311

24	CAR000152504	BUCK INSTITUTE FOR AGE RESEARCH	54172

25	CAR000156760	NEXTROM TECHNOLOGIES	54171

26	CAR000162123	CRG CHEMICAL INC	54171

27	CAR000162164	PHOENIX PHARMACOLOGICS INC	54171

28	CAR000162487	CODEXIS INC	54171

29	CAT000625103	TEXTRON INC HYDRAULIC RESEARCH	NA

30	FLD982130403	XENON VISION INC	54171

31	ILD068608314	BELL LABORATORIES DIV OF LUCNT	54171

32	ILD982204224	NETWORK SYSTEMS DIV OF LUCENT	54171

33	ILR000007195	JEFFERSON SMURFIT RESEARCH CTR	NA

34	ILR000122762	ADVANCED LIFE SCIENCES	54171

35	INR000107433	MICAGENIX	54171

36	MA5000001743	BOSTON BIOCHEM	54171

37	MAC300000643	NANTERO INC	54171

38	MAD982196164	SIEMENS MEDICAL SOLUTIONS DIAGNOSTICS	54171

39	MAR000005900	PHYTERA INC	54171

40	MAR000501320	INOTEK CORPORATION	54171

41	MAR000505214	IDENIX MASSACHUSETTS INC	54171

42	MAR000505503	MASS MATERIALS RESEARCH INC	54171

43	MAR000510529	EXACT SCIENCES	54171

44	MDD985423060	INSTITUTE FOR GENOMIC RESEARCH THE	NA

45	MDR000008599	THE INSTITUTE FOR GENOMIC RESEARCH	62231

46	MDR000508424	AMERICAN RED CROSS	54171

47	MID985637768	MAGNA POWERTRAIN OF AMERICA	54171

48	MIK843572199	OWENS CORNING COMPOSITE MATERIALS LLC	54171

49	MOR000015016	CHEMIR POLY TECH LAB	54171

50	MOR000514075	WEST AGRO INC	54171

51	NCD986192581	SOUTHERN TESTING & RESEARCH	NA

52	NHD510010663	LIBERTY RESEARCH CO INC	334419

53	NJD980583215	BELL LABORATORIES, DIV LUCENT TECH. INC.	54171

54	NJR000028787	GALDERMA RESEARCH & DEVELOPMENT	NA

55	NJR000031989	ASTATECH INC	54171

56	NMR000001529	LOVELACE RESPIRATORY RESEARCH INSTITUE	54171

57	NYD020658969	TRUDEAU INSTITUTE	54171

58	NYD064743792	FIRE RESEARCH CORP	NA

59	NYR000120295	BETHLEHEM TOWN OF DPW SERVICE GARAGE	54171

60	NYR000130849	HAUPTMAN-WOODWARD MEDICAL RESEARCH INSTI	54171

61	NYR000133454	SUPESTA US LLC	54171

62	OHD980704605	CHARLES RIVER LABORATORIES INC	54171

63	OHD982622128	CLEVELAND RESEARCH INSTITUTE	NA

64	OHD987049434	SOLAR FIELDS LLC	54171

65	OHR000001180	CHARLES RIVER LABORATORIES INC	54171

66	OHR000132563	ATK MISSION RESEARCH	54171

67	OKD981905342	OKLAHOMA MEDICAL RESEARCH FNDN	54171

68	PAD064348857	AMPLIFIER RESEARCH CORP	33431

69	PAR000506212	UPCI RESEARCH PAVILLION	NA

70	TND982124091	ELAB OF TENNESSEE LLC	54171

71	TXR000057448	EXFLUOR RESEARCH CORPORATION	325998

72	UTD106878515	TECHNICAL RESEARCH ASSOC INC	NA

73	WAH000027085	XCYTE THERAPIES COLUMBIA	54171

74	WAH000028258	INSTITUTE FOR SYSTEMS BIOLOGY	54171

75	WID000808378	STORA ENSO NA RESEARCH	NA

76	WID988638474	WEST MADISON AG RESEARCH STA	NA

a  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., notification).

NA	Not Available

Exhibit B-13

List of Sites Whose Status as Non-Profit Research Institutes Affiliated

with a College or University – SQGs Was Evaluated but Not Confirmed

No.	EPA ID	Site Name	Primary

NAICS Code a

1	CAD980887350	JOHN ALEXANDER RESEARCH	NA

2	CAD983625534	ALTERNATOR SUPPLY AND RESEARCH	NA

3	PAD982578148	SCRANTON REGIONAL CANCER & IMAGING CEN	NA

a  Primary North American Industry Classification System (NAICS) code
reported by facility in submittal to EPA (e.g., notification).

NA	Not Available

Exhibit B-14

List of Sites for Whose Status as Non-Profit Research Institute

Affiliated with a College or University – SQGs Was Not Evaluated

No.	EPA ID	Site Name	Primary

NAICS Code a

1	AL0000105171	SOUTHERN RESEARCH INSTITUTE ENG RESEARCH	54171

2	ALR000000216	SOUTHERN COMPANY SERVICES PSDF	54171

3	ALR000012112	SRS TECHNOLOGIES	54171

4	AR0000324442	BIOENGINEERING RESOURCES, INC.	54171

5	AZD980885420	CHEM RESEARCH	333514

6	AZD981634256	HARRINGTON ARTHRITIS RESEARCH CENTER	621112

7	AZR000038026	SUN WESTERN FLYERS INC	54171

8	AZR000048272	MOLTECH CORP DBA SION POWER	54171

9	AZR000501114	CYBERNETIC RESEARCH LABORATORIES	33271

10	CA0000069849	FLIGHT RESEARCH INC	NA

11	CA0000371153	CANJI INC	54171

12	CA0000928374	PEPTIDOGENIC RESEARCH AND CO	NA

13	CAD004193652	STC COMPUTER RESEARCH CORP	NA

14	CAD006903876	BRAUN C F & CO RESEARCH FAC	54133

15	CAD008255804	INTL ELECTRONIC RESEARCH CORP	NA

16	CAD008330102	COMPONENT RESEARCH CO INC	332991

17	CAD008334260	SHIPLEY COMPANY, LLC	54171

18	CAD008373573	RESEARCH DEVELOPMENT	333319

19	CAD009237173	PLASTICS RESEARCH CORP	326199

20	CAD009680232	GRAPHIC RESEARCH, INC.	334412

21	CAD029540259	GREFCO INC RESEARCH-ENGINEERING	333999

22	CAD041320748	PERRY TOOL & RESEARCH COMPANY	331

23	CAD041841933	PRODUCTION SEQUENCING FACILITY	54171

24	CAD048496582	CHEM PRO LABORATORY INC	54171

25	CAD071898001	PHOTO RESEARCH CORP	NA

26	CAD089054233	AVERY INTL RESEARCH CTR	NA

27	CAD093238038	OCCIDENTAL RESEARCH CORPORATION	NA

28	CAD098533755	CV THERAPEUTICS	54171

29	CAD118585678	SENN CHEMICALS U S A INC	54171

30	CAD980881528	SORIN BIOMEDICAL INC	54171

31	CAD981171226	SANSUM MEDICAL RESEARCH FOUNDATION	54172

32	CAD981367816	ADVANCED RESEARCH & APP CORP	NA

33	CAD981368145	AERO PRODUCTS RESEARCH	NA

34	CAD981369838	PERKINS RESEARCH	NA

35	CAD981370158	EDWARDS NOVACOR L L C	54172

36	CAD981372717	ANSATA THERAPEUTICS, INC	54171

37	CAD981379142	SMITH EMERY CO	54171

38	CAD981379845	NUCLEIC ACID RESEARCH INSTITUTE	NA

39	CAD981388697	ENERGY & ENVIRONMENTAL RESEARCH CORP	54138

40	CAD981426521	AST RESEARCH INC	NA

41	CAD981444441	BIOSITE INC.	54172

42	CAD981445695	ALTERNATOR SUPPLY & RESEARCH	NA

43	CAD981447295	WECK LABS, INC	54171

44	CAD981452055	ADDICTION RESEARCH FOUNDATION	NA

45	CAD981454242	CALTY DESIGN RESEARCH, INC	NA

46	CAD981573421	MEMBRANE TECHNOLOGY & RESEARCH	NA

47	CAD981584063	AVIDIA	54171

48	CAD981624190	ISET INC	54172

49	CAD981630817	CLONTECH LABORATORIES INC	54171

50	CAD981633159	N H RESEARCH	334515

51	CAD981633704	HYLAND THERAPEUTICS RESEARCH	NA

52	CAD981640402	ANTICANCER INC	54171

53	CAD981648256	ENGINEERING RESEARCH CTR	NA

54	CAD981665656	ENGINEERED CIRCUIT RESEARCH INC	NA

55	CAD981693062	US BORAX RESEARCH CORP	NA

56	CAD981695380	C P KELCO	54171

57	CAD981996986	DIAMOND RESEARCH CO	NA

58	CAD981999618	XENOPORT, INC.	54171

59	CAD982002552	LITTON CORE RESEARCH	NA

60	CAD982002594	RAND CORP	54172

61	CAD982021826	MALLINCKRODT SAN DIEGO	54171

62	CAD982034779	E-Y LABORATORIES INC	54171

63	CAD982317760	RESEARCH DRIVE OFFICE	NA

64	CAD982360992	IOPTEX RESEARCH INC	339115

65	CAD982401283	MONTEREY BAY AQUARIUM RESEARCH	NA

66	CAD982402257	NEW EARTH RESEARCH	334419

67	CAD982428963	CODEXIS INC	54171

68	CAD982434540	KERA VISION INC	54171

69	CAD982441479	ARA INC	54172

70	CAD982467649	MONTEREY BAY AQUARIUM RESEARCH	54172

71	CAD982470619	TANDY ELECTRONICS RESEARCH CENTER	NA

72	CAD982480345	THE GETTY RESEARCH INSTITUTE	611699

73	CAD982482721	CIC RESEARCH	NA

74	CAD982486060	CUTEK RESEARCH INC	NA

75	CAD982512600	CHEMICALS FOR RESEARCH & IND	42269

76	CAD982520157	LITHO DEVELOPMENT AND RESEARCH	42183

77	CAD982525073	CREATIVE MARKETING RESEARCH, INC.	32532

78	CAD982525198	NORSE LABORATORIES INC	54172

79	CAD982525958	STANFORD DNA SEQ. CTR.	54171

80	CAD983593757	VENABLE RESEARCH & DVPT CORP	NA

81	CAD983614942	RAININ INSTRUMENT CO	54171

82	CAD983620808	ZWICK ENERGY RESEARCH	NA

83	CAD983654567	DNAX RESEARCH INC	54171

84	CAD983660895	CALIFORNIA PEPTIDE RESEARCH	NA

85	CAD983664251	TEMPO RESEARCH	NA

86	CAD983665944	WATSON LABORATORIES, BUILDING 4	54171

87	CAD983672916	ADVANCE DESIGN RESEARCH INC	NA

88	CAL000037161	WESTERN FIELD TECHNOLOGY STATION	54171

89	CAL000042649	MAXDEM INC	54171

90	CAL000175030	IONIZATION RESEARCH CO., INC. DBA ECOSOL	562211

91	CAL000190016	BIOPATHOLOGY SCIENCES MEDICAL CORP	54171

92	CAR000002162	SCIOS INC.	54171

93	CAR000031377	WILSON PRODUCTS AND RESEARCH	NA

94	CAR000033415	RESEARCHERS ACQUISITION CORP	NA

95	CAR000039719	C S U L B RESEARCH AND TRAINING CTR	NA

96	CAR000041590	NEUROCRINE BIOSCIENCES, INC.	54171

97	CAR000041863	RECYCLING RESEARCH AND DEV INC	NA

98	CAR000045716	SUGEN INC.	54171

99	CAR000046151	RICHARDSON RESEARCHERS INC	NA

100	CAR000048827	MEMBRANE TECHNOLOGY AND RESEARCH INC	NA

101	CAR000049817	PEPTIDOGENIC RESEARCH AND CO	NA

102	CAR000052324	RESEARCH METAL INDUSTRIES INC	NA

103	CAR000057265	DELTAGEN RESEARCH LABS L L C	NA

104	CAR000070342	REAGENT CHEMICAL AND RESEARCH	NA

105	CAR000124073	PURACYP RESEARCH INSTITUTE	NA

106	CAR000130815	MEDLUMINAL SYSTEMS	54171

107	CAR000140343	TRIAD THERAPEUTICS	54171

108	CAR000141465	JACKSON LABORATORY AT WEST SACRAMENTO	54171

109	CAR000147926	PROTEIN DESIGN LABS INC	54171

110	CAR000148700	CHEMOCENTRYX	54171

111	CAR000149849	BIOCEPT INC	54171

112	CAR000150466	ALFRED MANN FOUNDATION	54171

113	CAR000150755	NANOSYS INC	54171

114	CAR000150847	PROTOTEK	54171

115	CAR000151027	PROTEOLIX	54171

116	CAR000153353	ILYPSA INC	54171

117	CAR000153627	ENERGY AND ENVIRONMENTAL RESEARCH CORP	54133

118	CAR000155820	OCULAR SCIENCES	54171

119	CAR000160028	NITTO DENKO TECHNICAL CORP	54171

120	CAR000161505	PIONEER HI BRED INTL	54171

121	CAR000161679	LBNL BLDG 977 POTTER STREET	54171

122	CAR000162214	IMEDD INC	54171

123	CAR000164152	CALLIDA GENOMICS INC	54172

124	CAR000164715	OAK PARK RESEARCH BUILDING	54171

125	CAR000166926	NUVELO	54171

126	CAT080010903	HARTLEY CENTER/UNOCAL CORP.	54171

127	CAT080032436	BURNS RESEARCH CORP	NA

128	CO9131505175	NATIONAL INSTITUTE OF STANDARDS & TECH	54171

129	COD983777384	QLT USA INC	54171

130	COR000203208	TRANSGENOMIC INC	54171

131	COR000203521	REPLIDYNE INC	54171

132	COR000203901	RESEARCH ELECTRO-OPTICS INC	333314

133	CTD983903469	ORANGE RESEARCH INC	NA

134	CTR000502880	CURAGEN CORP	54171

135	DER000501882	INVISTA S.A.R.L. @ DUPONT EXP. STATION	54171

136	DER000501957	ADVANCED SYNTHESIS GROUP INC	54171

137	FL0000025502	BENZ RESEARCH & DEVELOPMENT CORPORATION	333314

138	FL0001040302	NATIONAL HIGH MAGNETIC FIELD LAB - FSU	54171

139	FLD035261049	TECHNOLOGY RESEARCH CORP	335311

140	FLD072224280	HARBOR BRANCH OCEANOGRAPHIC INSTITUTE	54171

141	FLD981756042	MEDICAL RESEARCH INSTITUTE	NA

142	FLD982108276	TAMPA BAY RESEARCH INSTITUTE	54171

143	FLD982151383	FISH AND WILDLIFE RESEARCH INSTITUTE	92412

144	FLD984242412	BOCA RESEARCH INC	NA

145	FLD984244038	MOLLER RESEARCH	NA

146	FLR000047779	SOUTHERN RESEARCH LABORATORIES	NA

147	FLR000052373	SKIN & CANCER ASSOCIATES	NA

148	FLR000057141	VERO BEACH RESEARCH FARM	NA

149	FLR000111542	PETRA RESEARCH INC	562998

150	GAR000042903	FOB SYNTHESIS INC	54171

151	HIR000136291	HOKU SCIENTIFIC INC	54171

152	HIR000136390	APIC CORP	54171

153	ID0000381699	SAIC STAR CTR	54171

154	IDR000201780	AMALGAMATED RESEARCH INC	54171

155	IDR000201822	THORNE RESEARCH INC	325411

156	IL0000201780	ASSOCIATED RESEARCH	NA

157	ILD005447826	IIT RESEARCH INSTITUTE	339999

158	ILD025821513	MASONITE CORP-RESEARCH CTR	32199

159	ILD051075182	UNIVERSAL RESEARCH LABS	NA

160	ILD059427088	PRODUCTS RESEARCH & CHEMICAL CORP	NA

161	ILD119580652	AUTORESEARCH LABS INC	NA

162	ILD982632382	RESEARCH TECHNOLOGY INTL	NA

163	ILD984817700	R AND R RESEARCH CO	NA

164	ILR000011403	CHILDRENS RESEARCH FACILITY	NA

165	ILR000057125	LPJ RESEARCH	NA

166	ILR000116905	ALION SCIENCE & TECHNOLOGY	54171

167	ILR000119321	INTERNATIONAL TITANIUM POWDER	54171

168	ILR000127092	TELLABS	54171

169	IN0000729640	THOMSON INC	54171

170	IND000608737	INTERNATIONAL TRUCK & ENGINE CORP	54171

171	IND032164014	HERITAGE RESEARCH GROUP	54138

172	KSR000500868	XENOTECH LLC	54171

173	KY0000055756	PEPTIDES INTERNATIONAL INC	54171