Treatment Episode Data Set --Admissions (TEDS-A), 1996
United States Department of Health andHuman Services. Substance Abuse andMental Health Services Administration.Office of Applied Studies
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TREATMENT EPISODE DATA SET – ADMISSIONS CODEBOOK, 1996
Introduction
This codebook is for the Treatment Episode Data Set – Admissions (TEDS-A) for admissions to
substance abuse treatment occurring in 1996 TEDS-A provides demographic and substance
abuse characteristics of admissions to alcohol or drug treatment in facilities that report to
individual state administrative data systems.
The TEDS system is comprised of two major components, the Admissions Data Set and the
Discharges Data Set. The TEDS-Admissions (TEDS-A) file is an established program; data were
first reported for TEDS-A in 1992. The TEDS-D began more recently, with the first data
reported in 2000. TEDS includes treatment data that are routinely collected by states to monitor
their individual substance abuse treatment systems. Selected data items from the individual state
data files are converted to a standardized format that is consistent across states. These
standardized data constitute TEDS.
The TEDS-A is comprised of a Minimum Data Set collected by all states, and a Supplemental
Data Set collected by some states. The Minimum Data Set consists of 19 items that include:
Demographic information;
Primary, secondary, and tertiary substances used by the subject, and their route of
administration, frequency of use, and age at first use;
Source of referral to treatment;
Number of prior treatment episodes; and
Service type, including planned use of medication-assisted (i.e., with methadone or
buprenorphine) opioid therapy.
The 15 Supplemental Data Set items include psychiatric, social, and economic measures.
A full list of the variables can be viewed in the Variable Information and Frequency sections of
this codebook.
This codebook provides background and descriptive information for the TEDS-A public-use
files, limitations of the data, and frequencies. References are available detailing the data
collected in each state with the TEDS data elements, including state-by-state descriptions of
exceptions or anomalies in reporting practices. Users may refer to the TEDS Crosswalks
available from SAMHSA. The crosswalks are frequently updated as new information becomes
available.
Since 1992, the Office of Applied Studies (OAS) of the Substance Abuse and Mental Health
Services Administration (SAMHSA), U.S. Department of Health and Human Services (DHHS)
has funded and been responsible for TEDS. It coordinates and manages the collection of TEDS
data from the states. In 2010, the OAS was renamed to the Center for Behavioral Health
Statistics and Quality (CBHSQ). The unit of analysis is treatment admissions to state-licensed or
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certified substance abuse treatment centers that receive federal public funding.
Descriptive and analytical reports from TEDS are developed by CBHSQ to provide national and
state-level data on the number and types of clients treated and the characteristics of facilities
providing services.
Data Collection
The “Treatment Episode Data Set State Instruction Manual – Admissions Data” is available from
the SAMHSA Web site and provides complete instructions on how the TEDS-A data are
processed and submitted by the states.
Confidentiality Protection
Several measures were taken to protect the confidentiality of the TEDS-A records. Variables that
potentially identify an individual in their raw form underwent routine top- or bottom-coding in
order to prevent high and low codes from distinguishing a respondent’s record. For example,
AGE as a continuous variable has the potential to identify both the youngest and oldest
participants in a public release file. Hence, AGE was recoded into 11 categories for the public-
use file to reduce disclosure risk. The lowest category for age combines the ages of 12-14.
Similarly, ages of 55 and older were top-coded. All the variables recoded are documented in
Appendix B.
Disclosure analysis is used to identify records that remained unique after routine measures were
taken to protect confidentiality. Disclosure analysis is used to discern combinations of indirect
identifiers that potentially link an individual to a record. Particular attention was given to the
analytic importance of geographic data and of subgroup populations. Consequently, data
swapping was applied to the TEDS in order to satisfy stringent confidentiality standards while
preserving the analytic value of the public-use file.
The original location of a record in TEDS-A cannot be known for certain due to the use of data
swapping. This method has several benefits over other disclosure protection options: (1) the
overall impact to the data is typically small; (2) nearly all of the data are left intact; (3) data for
special populations (e.g., minorities, pregnant women) are no more impacted than other data;
(4) the procedures typically do not affect any analytic uses of the file; and (5) the procedures
allow greater detail to remain on the public use file (e.g., the original ethnicity codes).
Universe
The universe for TEDS-A is admissions in calendar year 1996 that were received and processed
through May 11, 2004.
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Coverage
The TEDS attempts to include all admissions to providers receiving public funding. Because
each state or jurisdiction decides the TEDS eligibility of a provider, there is no independent
check on the actual sources of funding. Although SAMHSA requests submission of TEDS data
on all admissions to any publicly funded treatment facility, reporting in some state agencies is
structured so that only clients treated with public funds are included in the TEDS. The number
of clients in these facilities whose treatment is not publicly funded is unknown.1
Data Limitations
The TEDS, while comprising a significant proportion of all admissions to substance abuse
treatment, does not include all such admissions. The TEDS is a compilation of facility data from
state administrative systems. The scope of facilities included in the TEDS is affected by
differences in state licensure, certification, accreditation, and disbursement of public funds. For
example, some state substance abuse agencies regulate private facilities and individual
practitioners, while others do not. In some states, hospital-based substance abuse treatment
facilities are not licensed through the state substance abuse agency. Some state substance abuse
agencies track treatment in correctional facilities (state prisons and local jails), while others do
not.
In general, facilities reporting TEDS data receive state alcohol and/or drug agency funds
(including Federal Block Grant funds) for the provision of alcohol and/or drug treatment
services. Most states are able to report all admissions to all eligible facilities, although some
report only admissions financed by public funds. States may report data from facilities that do
not receive public funds, but generally do not because of the difficulty in obtaining data from
these facilities. The TEDS generally does not include data on facilities operated by federal
agencies, including the Bureau of Prisons, the Department of Defense, and the Department of
Veterans Affairs. However, some facilities operated by the Indian Health Service are included.
The primary goal of TEDS is to monitor the characteristics of treatment episodes for substance
abusers. Implicit in the concept of treatment is a planned, continuing treatment regimen. Thus,
the TEDS does not include early intervention programs; these are considered to be prevention
programs. Crisis intervention facilities such as sobering-up stations and hospital emergency
departments are not included in the TEDS.
The TEDS is a large and powerful data set. Like all data sets, however, care must be taken that
interpretation does not extend beyond the limitations of the data. Limitations fall into two broad
1 Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment
Episode Data Set (TEDS): 1992-1997. National Admissions to Substance Abuse Treatment Services.
DASIS Series: S-7, DHHS Publication No. (SMA) 99-3324, Rockville, MD, 1999, 115.
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categories: those related to the scope of the data collection system, and those related to the
difficulties of aggregating data from highly diverse state data collection systems.2
Limitations to be kept in mind while analyzing TEDS data include:
The number and client mix of TEDS records depends, to some extent, on external factors
- including the availability of public funds. In states with higher funding levels, a larger
percentage of the substance abusing population may be admitted to treatment, including
the less severely impaired and the less economically disadvantaged.
The primary, secondary, and tertiary substances of abuse reported to the TEDS are those
substances that led to the treatment episode, and not necessarily a complete enumeration
of all drugs used at the time of admission.
The way an admission is defined may vary from state to state such that the absolute
number of admissions is not a valid measure for comparing states.
States continually review the quality of their data processing. As systematic errors are
identified, revisions may be enacted in historical TEDS data files. While this system
improves the data set over time, reported historical statistics may change slightly from
year to year.
States vary in the extent to which coercion plays a role in referral to treatment. This
variation derives from criminal justice practices and differing concentrations of abuser
subpopulations.
Public funding constraints may direct states to selectively target special populations, for
example, pregnant women or adolescents.
TEDS includes treatment admissions and in many states the files may include multiple
admissions for the same client. Therefore, any statistics derived from the data will
represent admissions, not clients. It is possible for clients to have multiple initial
admissions within a state and even within providers that have multiple treatment sites
within the state. A few states uniquely identify clients at the state-level and several more
states are attempting to achieve this level of client identification. The TEDS provides a
good national snapshot of what is seen at admission to treatment, but is currently unable
to follow individual clients through a sequence of treatment episodes.
The TEDS distinguishes between "transfer admissions" and "initial admissions."
Transfer admissions include clients transferred for distinct services within an episode of
treatment. Only initial admissions are included on the public use files.
2 Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment
Episode Data Set (TEDS): 2005. Discharges from Substance Abuse Treatment Services. DASIS Series: S-
41, DHHS Publication No. (SMA) 08-4312, Rockville, MD, 1999, 6.
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Some states have no Opioid Treatment Programs (OTPs) that provide medication-assisted
therapy using methadone and/or buprenorphine. See the TEDS state-by-state crosswalk
for information regarding data collected by each state.
Created Variables
The TEDS files contain several variables created from the original variables submitted by the
states. For example, a variable was created to indicate whether each drug was included as a
primary, secondary, or tertiary drug of abuse. These are called flag variables and labeled
according to the drug, such as alcflg for alcohol flag variable, cokeflg for cocaine flag, etc.
A variable that facilitates comparison of each state to all other states is included in the Survey
Documentation and Analysis (SDA) online data analysis files for TEDS. These created variables
are referred to as geographic state indicator variables and labeled according to state name such
as AKSTATE for Alaska and ALSTATE for Alabama. These variables are useful for examining
characteristics of treatment in one state compared to the rest of the nation. The state indicator
variables are not included in the downloadable data files for TEDS because they approximately
double the size of the files, which are large at the outset due to the number of TEDS records.
Therefore, sample SPSS programming syntax is provided below in order to create and append
the state indicator variable to downloaded files:
Contents of Public-Use Files
The TEDS public use file contains Minimum, Supplemental, and Additional data for 47 states
plus the District of Columbia and Puerto Rico. The following states did not report usable data for
the year 1996: Arizona, Kentucky, and Wyoming.
The TEDS Admissions public-use files are provided in ASCII rectangular format with SAS,
SPSS and Stata data definition statements. SAS Transport (CPORT), SPSS System, Stata
* Compute TEDS state indicator for Alaska (STFIPS=2).
do if (STFIPS eq 2).
compute AKSTATE=1.
else.
compute AKSTATE=2.
end if.
variable labels AKSTATE "ALASKA STATE INDICATOR".
value labels AKSTATE 1 "ALASKA" 2 "ALL OTHER STATES".
format AKSTATE (f1.0).
format AKSTATE (f1.0)
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System, and ASCII Tab-delimited files are also available. Supplemental files containing optional
commands are available for the SAS Transport and Stata System files. A separate codebook is
provided for each year’s data file. The number of observations and variables for 1996 are as
follows:
Filename: da02651-0001.txt
Number of observations: 1,637,093
Number of variables: 62
Records per case: 1
Logical record length: 120
User Responsibility
Users are reminded that the data are to be used solely for statistical analysis and reporting of
aggregated information and not for investigation or identification of specific individuals or
organizations.
Publications
Substance Abuse and Mental Health Services Administration, Office of Applied Studies.
Treatment Episode Data Set (TEDS): 1992-1996. National Admissions to Substance Abuse
Treatment Services. Drug and Alcohol Services Information System Series: S-5. DHHS
Publication No. (SMA) 98-3244. Rockville, MD, 1998.
The Center for Behavioral Health Statistics and Quality has other published TEDS reports on the
DASIS Web site.
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Treatment Episode Data Set -- Admissions (TEDS-A), 1996
Variable Description and Frequencies
Note: Frequencies displayed for the variables are not weighted.They are purely descriptive andmay not be representative of thestudy population. Please review any sampling or weightinginformation available with the study.
Summary statistics (minimum, maximum, mean, median, andstandard deviation) may not be available for every variable inthe codebook. Conversely, a listing of frequencies in table formatmay not be present for every variable in the codebook either.However, all variables in the dataset are present and displaysufficient information about each variable. These decisions aremade intentionally and are at the discretion of the archiveproducing this codebook.
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Treatment Episode Data Set -- Admissions (TEDS-A), 1996
Variable Groups
Variable Groups Containing Variables
PageVariable Group LabelVariable Group Name
8IDENTIFICATIONIDENTIFICATION
8CLIENT CHARACTERISTICSCLIENTCHARACTERISTICS
9GEOGRAPHICGEOGRAPHIC
9TREATMENT SERVICE CHARACTERISTICSTREATMENTSERVICECHARACTERISTICS
9REFERRAL SOURCESREFERRALSOURCES
9PRIOR SUBSTANCE ABUSE TREATMENTPRIOR SUBSTANCEABUSE TREATMENT
9SUBSTANCES OF ABUSE: ORIGINAL VARIABLESSUBSTANCES OFABUSE: ORIGINALVARIABLES
10SUBSTANCES OF ABUSE: CREATED VARIABLESSUBSTANCES OFABUSE: CREATEDVARIABLES
10MENTAL HEALTHMENTAL HEALTH
10INSURANCE/PAYMENTINSURANCE/PAYMENT
IDENTIFICATIONIDENTIFICATION
Variables within this Variable Group
PageVariable LabelVariable
11CASE IDENTIFICATION NUMBERCASEID
11YEAR OF ADMISSIONYEAR
CLIENT CHARACTERISTICSCLIENT CHARACTERISTICS
Variables within this Variable Group
PageVariable LabelVariable
11AGE (RECODED)AGE
12SEXGENDER
12RACERACE
13ETHNICITY (HISPANIC ORIGIN)ETHNIC
14MARITAL STATUSMARSTAT
14EDUCATIONEDUC
15EMPLOYMENT STATUSEMPLOY
16DETAILED 'NOT IN LABOR FORCE' CATEGORYDETNLF
16PREGNANT AT TIME OF ADMISSIONPREG
16VETERAN STATUSVET
17LIVING ARRANGEMENTLIVARAG
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Variables within this Variable Group
PageVariable LabelVariable
18SOURCE OF INCOME/SUPPORTPRIMINC
GEOGRAPHICGEOGRAPHIC
Variables within this Variable Group
PageVariable LabelVariable
18CENSUS STATE FIPS CODESTFIPS
19FIPS 2000 CBSA CODECBSA
28FIPS 1990 MSA CODEPMSA
36CENSUS REGIONREGION
37CENSUS DIVISIONDIVISION
TREATMENT SERVICE CHARACTERISTICSTREATMENT SERVICECHARACTERISTICS
Variables within this Variable Group
PageVariable LabelVariable
38SERVICE SETTING AT ADMISSIONSERVSETA
39MEDICATION-ASSISTED OPIOID THERAPYMETHUSE
40DAYS WAITING TO ENTER TREATMENTDAYWAIT
REFERRAL SOURCESREFERRAL SOURCES
Variables within this Variable Group
PageVariable LabelVariable
40PRINCIPAL SOURCE OF REFERRALPSOURCE
41DETAILED CRIMINAL JUSTICE REFERRALDETCRIM
PRIOR SUBSTANCE ABUSE TREATMENTPRIOR SUBSTANCE ABUSETREATMENT
Variables within this Variable Group
PageVariable LabelVariable
42NUMBER OF PRIOR TREATMENT EPISODESNOPRIOR
SUBSTANCES OF ABUSE: ORIGINAL VARIABLESSUBSTANCES OF ABUSE:ORIGINAL VARIABLES
Variables within this Variable Group
PageVariable LabelVariable
43SUBSTANCE PROBLEM CODE (PRIMARY)SUB1
45USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1
45FREQUENCY OF USE (PRIMARY)FREQ1
45AGE AT FIRST USE (PRIMARY)FRSTUSE1
46SUBSTANCE PROBLEM CODE (SECONDARY)SUB2
48USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2
48FREQUENCY OF USE (SECONDARY)FREQ2
48AGE AT FIRST USE (SECONDARY)FRSTUSE2
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Variables within this Variable Group
PageVariable LabelVariable
49SUBSTANCE PROBLEM CODE (TERTIARY)SUB3
51USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3
51FREQUENCY OF USE (TERTIARY)FREQ3
52AGE AT FIRST USE (TERTIARY)FRSTUSE3
SUBSTANCES OF ABUSE: CREATED VARIABLESSUBSTANCES OF ABUSE:CREATED VARIABLES
Variables within this Variable Group
PageVariable LabelVariable
52NUMBER OF SUBSTANCES REPORTED AT ADM.NUMSUBS
52CURRENT IV DRUG USE REPORTED AT ADM.IDU
53ALCOHOL REPORTED AT ADM.ALCFLG
53COCAINE/CRACK REPORTED AT ADM.COKEFLG
53MARIJUANA/HASHISH REPORTED AT ADM.MARFLG
53HEROIN REPORTED AT ADM.HERFLG
54NON-RX METHADONE REPORTED AT ADM.METHFLG
54OTHER OPIATES/SYNTHETICS REPORTED AT ADM.OPSYNFLG
54PCP REPORTED AT ADM.PCPFLG
54OTHER HALLUCINOGENS REPORTED AT ADM.HALLFLG
55METHAMPHETAMINE REPORTED AT ADM.MTHAMFLG
55OTHER AMPHETAMINES REPORTED AT ADM.AMPHFLG
55OTHER STIMULANTS REPORTED AT ADM.STIMFLG
55BENZODIAZEPINES REPORTED AT ADM.BENZFLG
56OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTEDAT ADM.
TRNQFLG
56BARBITURATES REPORTED AT ADM.BARBFLG
56OTHER NON-BARBITURATE SEDATIVES/HYPNOTICSREPORTED AT ADM.
SEDHPFLG
56INHALANTS REPORTED AT ADM.INHFLG
57OVER-THE-COUNTER MEDICATION REPORTED AT ADM.OTCFLG
57OTHER DRUG REPORTED AT ADM.OTHERFLG
57SUBSTANCE ABUSE TYPEALCDRUG
MENTAL HEALTHMENTAL HEALTH
Variables within this Variable Group
PageVariable LabelVariable
58DSM DIAGNOSISDSMCRIT
58PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUGPROBLEM
PSYPROB
INSURANCE/PAYMENTINSURANCE/PAYMENT
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Variables within this Variable Group
PageVariable LabelVariable
59HEALTH INSURANCEHLTHINS
59EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY
CASE IDENTIFICATION NUMBERCASEID
1-8 (width: 8; decimal: 0)Location:
numericVariable Type:
Based upon 1637093 valid cases out of 1637093 total cases.
YEAR OF ADMISSIONYEAR
9-12 (width: 4; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Year of client's admission to substance abuse treatment.Question:
Valid %%UnweightedFrequency
LabelValue
100.0%100.0 %1637093-1996
Based upon 1637093 valid cases out of 1637093 total cases.
AGE (RECODED)AGE
13-14 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Calculated from date of birth and date of admission andQuestion:
categorized.
Note: Records of clients aged 11 years old and younger orare unknown are no longer included in TEDS.
Valid %%UnweightedFrequency
LabelValue
1.6%1.6 %2667512-142
6.3%6.3 %10318415-173
5.2%5.2 %8530718-204
8.2%8.2 %13429721-245
14.8%14.8 %24193225-296
19.2%19.2 %31446430-347
18.4%18.4 %30107335-398
12.7%12.7 %20755640-449
7.0%7.0 %11477545-4910
3.3%3.3 %5432250-5411
3.3%3.3 %5350855 AND OVER12
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Based upon 1637093 valid cases out of 1637093 total cases.
SEXGENDER
15-16 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Identifies client's gender.Question:
Valid %%UnweightedFrequency
LabelValue
70.6%70.4 %1151871MALE1
29.4%29.3 %479102FEMALE2
-0.4 %6120MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1630973 valid cases out of 1637093 total cases.
RACERACE
17-18 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies the client's race:Question:
- ALASKA NATIVE (ALEUT, ESKIMO, INDIAN): Origins in any ofthe original people of Alaska.
- AMERICAN INDIAN (OTHER THAN ALASKA NATIVE): Origins inany of the original people of North America and SouthAmerica (including Central America) and who maintaincultural identification through tribal affiliation orcommunity attachment.
- ASIAN OR PACIFIC ISLANDER: Origins in any of the originalpeople of the Far East, the Indian subcontinent, SoutheastAsia, or the Pacific Islands.
- BLACK OR AFRICAN AMERICAN: Origins in any of the blackracial groups of Africa.
- WHITE: Origins in any of the original people of Europe,North Africa, or the Middle East.
- ASIAN: Origins in any of the original people of the FarEast, the Indian subcontinent, or Southeast Asia, includingfor example, Cambodia, China, India, Japan, Korea, Malaysia,Philippine Islands, Thailand, and Vietnam.
- OTHER SINGLE RACE: Use this category for instancesin which the client is not classified in any categoryabove or whose origin group, because of area custom,is regarded as a racial class distinct from the abovecategories. (Do not use this category for clientsindicating multiple races.)
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- TWO OR MORE RACES: Use this code when the State data systemallows multiple race selection and more than one race isindicated.
- NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER: Origins in anyof the original peoples of Hawaii, Guam, Samoa, or otherPacific Islands.
Guidelines: If the State does not distinguish between AmericanIndian and Alaska Native, code both as 02, American Indian.States that can separate "Asian" and "Native Hawaiian or OtherPacific Islander" should use codes 13 and 23 for thosecategories. States that cannot make the separation should usethe combined code 03 until the separation becomes possible.Once a state begins using codes 13 and 23, code 03 should nolonger be used by that state. States are asked to convert tothe new categories when possible.
Valid %%UnweightedFrequency
LabelValue
0.5%0.5 %8330ALASKA NATIVE (ALEUT, ESKIMO, INDIAN)1
2.1%2.1 %34370AMERICAN INDIAN (OTHER THAN ALASKANATIVE)
2
0.7%0.7 %11064ASIAN OR PACIFIC ISLANDER3
26.1%25.8 %422182BLACK OR AFRICAN AMERICAN4
62.0%61.3 %1003035WHITE5
8.6%8.5 %139814OTHER SINGLE RACE20
-1.1 %18298MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1618795 valid cases out of 1637093 total cases.
ETHNICITY (HISPANIC ORIGIN)ETHNIC
19-20 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies client's specific Hispanic origin, if applicable.Question:
- PUERTO RICAN: Of Puerto Rican origin, regardless of race.
- MEXICAN: Of Mexican origin, regardless of race.
- CUBAN: Of Cuban origin, regardless of race.
- OTHER SPECIFIC HISPANIC: Of known Central or South Americanor any other Spanish cultural origin (including Spain),other than Puerto Rican, Mexican, or Cuban, regardless ofrace.
- NOT OF HISPANIC ORIGIN:
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- HISPANIC, SPECIFIC ORIGIN NOT SPECIFIED: Of Hispanic origin,but specific origin not known or not specified.
Guidelines: If a state does not collect specific Hispanicdetail, code ethnicity for Hispanics as 06, "Hispanic,specific origin not specified."
Valid %%UnweightedFrequency
LabelValue
4.0%3.7 %60307PUERTO RICAN1
4.6%4.3 %70523MEXICAN2
0.3%0.3 %4736CUBAN3
2.4%2.2 %36658OTHER SPECIFIC HISPANIC4
88.7%82.7 %1353894NOT OF HISPANIC ORIGIN5
-6.8 %110975MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1526118 valid cases out of 1637093 total cases.
MARITAL STATUSMARSTAT
21-22 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Describes the client's marital status. The followingQuestion:
categories are compatible with the U.S. Census.
- NEVER MARRIED: Includes clients whose only marriage wasannulled.
- NOW MARRIED: Includes those living together as married.
- SEPARATED: Includes those separated legally or otherwiseabsent from spouse because of marital discord.
- DIVORCED, WIDOWED
Valid %%UnweightedFrequency
LabelValue
52.7%41.1 %673230NEVER MARRIED1
18.9%14.8 %241798NOW MARRIED2
8.6%6.7 %109531SEPARATED3
19.7%15.4 %252060DIVORCED, WIDOWED4
-22.0 %360474MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1276619 valid cases out of 1637093 total cases.
EDUCATIONEDUC
23-24 (width: 2; decimal: 0)Location:
numericVariable Type:
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-9Range of Missing Values (M):
Specifies the highest school grade (number of school years)Question:
completed by the client.
Guidelines: States that use specific categories for designatingeducation level should map their categories to a logical "numberof years of school completed." The mapping should be recorded inthe State Crosswalk. For example, a state category of "AssociateDegree" should be mapped to 14; "Bachelor Degree" would be mappedto 16, etc.
Valid %%UnweightedFrequency
LabelValue
9.4%9.2 %1508848 YEARS OR LESS1
31.0%30.4 %4974389-112
40.5%39.7 %650285123
14.9%14.6 %23871713-154
4.3%4.3 %6971716 OR MORE5
-1.8 %30052MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1607041 valid cases out of 1637093 total cases.
EMPLOYMENT STATUSEMPLOY
25-26 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Designates the client's employment status at the time ofQuestion:
admission or transfer:
- FULL TIME: Working 35 hours or more each week; includingactive duty members of the uniformed services.
- PART TIME: Working fewer than 35 hours each week.
- UNEMPLOYED: Looking for work during the past 30 days oron layoff from a job.
- NOT IN LABOR FORCE: Not looking for work during the past30 days or a student, homemaker, disabled, retired, oran inmate of an institution. Clients in this categoryare further defined in the Supplemental Data Set item"Detailed Not in Labor Force" (DETNLF).
Guidelines: Seasonal workers are coded in this category basedon their employment status at time of admission. For example,if they are employed full time at the time of admission, theyare coded as 01. If they are not in labor force at time ofadmission, they are coded 04.
- 2651 -
- 15 -
Valid %%UnweightedFrequency
LabelValue
25.2%24.4 %399950FULL TIME1
6.8%6.6 %108582PART TIME2
25.0%24.3 %397864UNEMPLOYED3
43.0%41.7 %682727NOT IN LABOR FORCE4
-2.9 %47970MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1589123 valid cases out of 1637093 total cases.
DETAILED 'NOT IN LABOR FORCE' CATEGORYDETNLF
27-28 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field gives more detailed information about those clients who are coded as "not in the laborforce" in the Minimum Data Set field for "Employment Status" (EMPLOY).
Question:
Valid %%UnweightedFrequency
LabelValue
7.1%1.1 %18695HOMEMAKER1
27.4%4.4 %71865STUDENT2
28.0%4.5 %73414RETIRED, DISABLED3
7.0%1.1 %18404INMATE OF INSTITUTION5
30.4%4.9 %79670OTHER6
-84.0 %1375045MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 262048 valid cases out of 1637093 total cases.
PREGNANT AT TIME OF ADMISSIONPREG
29-30 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies whether the client was pregnant at the time ofQuestion:
admission.
Guidelines: All male respondents were recoded to missingfor this variable due to the item being not applicable.
Valid %%UnweightedFrequency
LabelValue
3.9%1.0 %17142YES1
96.1%25.7 %421376NO2
-73.2 %1198575MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 438518 valid cases out of 1637093 total cases.
VETERAN STATUSVET
- 2651 -
- 16 -
31-32 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies whether the client has served in the uniformedQuestion:
services (Army, Navy, Air Force, Marines, Coast Guard, PublicHealth Service Commissioned Corps, Coast and Geodetic Survey,etc).
Guidelines: A veteran is a person 16 years or over who hasserved (even for a short time), but is not now serving, onactive duty in the US Army, Navy, Marine Corps, Coast Guard,or Commissioned Corps of the US Public Health Service orNational Oceanic and Atmospheric Administration, or whoserved as a Merchant Marine seaman during World War II.Persons who served in the National Guard or MilitaryReserves are classified as veterans only if they were evercalled or ordered to active duty, not counting the 4-6months for initial training or yearly summer camps.
Valid %%UnweightedFrequency
LabelValue
9.6%5.5 %89943YES1
90.4%51.9 %849203NO2
-42.6 %697947MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 939146 valid cases out of 1637093 total cases.
LIVING ARRANGEMENTLIVARAG
33-34 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies whether the client is homeless, living with parents,Question:
living in a supervised setting, or living independently on hisor her own.
- HOMELESS: Clients with no fixed address; includes shelters.
- DEPENDENT LIVING: Clients living in a supervised settingsuch as a residential institution, halfway house or grouphome, and children (under age 18) living with parents,relatives, or guardians or in foster care.
- INDEPENDENT LIVING: Clients living alone or with otherswithout supervision. Includes adult children (age 18 orover) living with parents.
Valid %%UnweightedFrequency
LabelValue
10.9%8.2 %133716HOMELESS1
- 2651 -
- 17 -
Valid %%UnweightedFrequency
LabelValue
23.0%17.2 %282030DEPENDENT LIVING2
66.1%49.6 %811841INDEPENDENT LIVING3
-25.0 %409506MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1227587 valid cases out of 1637093 total cases.
SOURCE OF INCOME/SUPPORTPRIMINC
35-36 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Identifies the client's principal source of financial support. For children under 18, this field indicatesthe parent's primary source of income/support.
Question:
Valid %%UnweightedFrequency
LabelValue
38.2%18.7 %305572WAGES/SALARY1
15.0%7.4 %120327PUBLIC ASSISTANCE2
4.8%2.4 %38614RETIREMENT/PENSION, DISABILITY3
21.1%10.3 %169143OTHER20
20.8%10.2 %166677NONE21
-51.1 %836760MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 800333 valid cases out of 1637093 total cases.
CENSUS STATE FIPS CODESTFIPS
37-38 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
State FIPS codes consistent with those used by the U.S. Bureau of the Census.Question:
Valid %%UnweightedFrequency
LabelValue
1.0%1.0 %16838ALABAMA1
0.5%0.5 %8524ALASKA2
0.7%0.7 %12239ARKANSAS5
10.5%10.5 %172081CALIFORNIA6
3.3%3.3 %54727COLORADO8
2.8%2.8 %45555CONNECTICUT9
0.3%0.3 %4404DELAWARE10
0.1%0.1 %979DIST OF COLUMBIA11
4.7%4.7 %76328FLORIDA12
1.3%1.3 %21813GEORGIA13
0.3%0.3 %5360HAWAII15
0.4%0.4 %6107IDAHO16
1.8%1.8 %29649ILLINOIS17
- 2651 -
- 18 -
Valid %%UnweightedFrequency
LabelValue
1.0%1.0 %16394INDIANA18
2.7%2.7 %44628IOWA19
1.1%1.1 %18265KANSAS20
0.9%0.9 %15473LOUISIANA22
0.6%0.6 %9901MAINE23
3.5%3.5 %57697MARYLAND24
4.4%4.4 %71690MASSACHUSETTS25
5.5%5.5 %90364MICHIGAN26
2.1%2.1 %34790MINNESOTA27
0.2%0.2 %3323MISSISSIPPI28
2.0%2.0 %32878MISSOURI29
0.4%0.4 %6695MONTANA30
1.1%1.1 %17964NEBRASKA31
0.5%0.5 %8370NEVADA32
0.3%0.3 %4429NEW HAMPSHIRE33
3.8%3.8 %62931NEW JERSEY34
0.5%0.5 %8795NEW MEXICO35
14.0%14.0 %228814NEW YORK36
2.9%2.9 %46695NORTH CAROLINA37
0.2%0.2 %2463NORTH DAKOTA38
5.5%5.5 %90821OHIO39
1.3%1.3 %20529OKLAHOMA40
2.8%2.8 %45889OREGON41
3.6%3.6 %59132PENNSYLVANIA42
0.7%0.7 %11582RHODE ISLAND44
1.9%1.9 %30950SOUTH CAROLINA45
0.6%0.6 %9154SOUTH DAKOTA46
0.5%0.5 %8584TENNESSEE47
0.8%0.8 %12749TEXAS48
0.9%0.9 %15427UTAH49
0.3%0.3 %5247VERMONT50
1.2%1.2 %20220VIRGINIA51
2.8%2.8 %46446WASHINGTON53
0.1%0.1 %2076WEST VIRGINIA54
1.0%1.0 %16472WISCONSIN55
0.3%0.3 %4652PUERTO RICO72
Based upon 1637093 valid cases out of 1637093 total cases.
FIPS 2000 CBSA CODECBSA
39-43 (width: 5; decimal: 0)Location:
- 2651 -
- 19 -
numericVariable Type:
-9Range of Missing Values (M):
The term "Core Based Statistical Area" (CBSA) is a collective term for both metro and micro areas.Metropolitan and micropolitan statistical areas (metro and micro areas) are geographic entities defined
Question:
by the U.S. Office of Management and Budget (OMB) for use by Federal statistical agencies incollecting, tabulating, and publishing Federal statistics. A metro area contains a core urban area of50,000 or more population, and a micro area contains an urban core of at least 10,000 (but less than50,000) population. Each metro or micro area consists of one or more counties and includes thecounties containing the core urban area, as well as any adjacent counties that have a high degreeof social and economic integration (as measured by commuting to work) with the urban core.
Valid %%UnweightedFrequency
LabelValue
0.1%0.0 %777ABILENE, TX METRO10180
0.0%0.0 %285AGUADILLA-ISABELA-SAN SEBASTIAN, PRMETRO
10380
0.7%0.6 %9064AKRON, OH METRO10420
0.1%0.0 %793ALBANY, GA METRO10500
1.2%0.9 %15487ALBANY-SCHENECTADY-TROY, NY METRO10580
0.2%0.1 %2380ALBUQUERQUE, NM METRO10740
0.2%0.2 %2926ALEXANDRIA, LA METRO10780
0.0%0.0 %615ALLEGAN, MI MICRO10880
0.3%0.2 %3425ALLENTOWN-BETHLEHEM-EASTON, PA-NJMETRO
10900
0.1%0.1 %1591ALTOONA, PA METRO11020
0.0%0.0 %45AMARILLO, TX METRO11100
0.2%0.2 %2902ANCHORAGE, AK METRO11260
0.0%0.0 %82ANDERSON, IN METRO11300
0.1%0.1 %1537ANDERSON, SC METRO11340
0.1%0.1 %1724ANN ARBOR, MI METRO11460
0.0%0.0 %337ANNISTON-OXFORD, AL METRO11500
0.0%0.0 %425APPLETON, WI METRO11540
0.2%0.2 %2737ASHEVILLE, NC METRO11700
0.1%0.1 %1051ASHTABULA, OH MICRO11780
0.1%0.1 %892ATHENS-CLARKE COUNTY, GA METRO12020
0.5%0.4 %7127ATLANTA-SANDY SPRINGS-MARIETTA, GAMETRO
12060
0.2%0.2 %2529ATLANTIC CITY, NJ METRO12100
0.0%0.0 %302AUBURN-OPELIKA, AL METRO12220
0.2%0.2 %2461AUGUSTA-RICHMOND COUNTY, GA-SCMETRO
12260
0.1%0.1 %1835AUSTIN-ROUND ROCK, TX METRO12420
0.3%0.3 %4547BAKERSFIELD, CA METRO12540
2.7%2.2 %35803BALTIMORE-TOWSON, MD METRO12580
0.3%0.2 %3573BARNSTABLE TOWN, MA METRO12700
0.2%0.1 %2095BATON ROUGE, LA METRO12940
- 2651 -
- 20 -
Valid %%UnweightedFrequency
LabelValue
0.1%0.0 %681BATTLE CREEK, MI METRO12980
0.1%0.1 %1073BAY CITY, MI METRO13020
0.0%0.0 %164BEAUMONT-PORT ARTHUR, TX METRO13140
0.2%0.1 %2402BELLINGHAM, WA METRO13380
0.1%0.1 %922BILLINGS, MT METRO13740
0.2%0.2 %2941BINGHAMTON, NY METRO13780
0.4%0.3 %5538BIRMINGHAM-HOOVER, AL METRO13820
0.1%0.1 %823BLOOMINGTON, IN METRO14020
0.0%0.0 %414BLOOMINGTON-NORMAL, IL METRO14060
0.2%0.1 %2405BOISE CITY-NAMPA, ID METRO14260
3.1%2.5 %41038BOSTON-CAMBRIDGE-QUNICY, MA-NH METRO14460
0.2%0.2 %2539BOULDER, CO METRO14500
0.2%0.2 %2658BREMERTON-SILVERDALE, WA METRO14740
0.7%0.6 %9520BRIDGEPORT-STAMFORD-NORWALK, CTMETRO
14860
0.0%0.0 %177BROWNSVILLE-HARLINGEN, TX METRO15180
1.5%1.2 %20421BUFFALO-CHEEKTOWAGA-TONAWANDA, NYMETRO
15380
0.1%0.0 %789BURLINGTON, NC METRO15500
0.2%0.1 %2362BURLINGTON-SOUTH BURLINGTON, VTMETRO
15540
0.3%0.2 %3457CANTON-MASSILLON, OH METRO15940
0.2%0.1 %2056CAPE CORAL-FORT MYERS, FL METRO15980
0.3%0.2 %4058CEDAR RAPIDS, IA METRO16300
0.1%0.0 %777CHAMPAIGN-URBANA, IL METRO16580
0.0%0.0 %475CHARLESTON, WV METRO16620
0.3%0.3 %4525CHARLESTON-NORTH CHARLESTON, SCMETRO
16700
0.8%0.6 %10454CHARLOTTE-GASTONIA-CONCORD, NC-SCMETRO
16740
0.1%0.1 %1650CHATTANOOGA, TN-GA METRO16860
1.4%1.1 %18014CHICAGO-NAPERVILLE-JOLIET, IL-IN-WIMETRO
16980
0.1%0.1 %1145CHICO, CA METRO17020
0.8%0.6 %10150CINCINNATI-MIDDLETOWN, OH-KY-IN METRO17140
0.0%0.0 %259CLARKSVILLE, TN-KY METRO17300
1.4%1.2 %18921CLEVELAND-ELYRIA-MENTOR, OH METRO17460
0.3%0.3 %4205COLORADO SPRINGS, CO METRO17820
0.1%0.1 %1203COLUMBIA, MO METRO17860
0.4%0.3 %4715COLUMBIA, SC METRO17900
0.1%0.1 %1031COLUMBUS, GA-AL METRO17980
0.9%0.8 %12502COLUMBUS, OH METRO18140
- 2651 -
- 21 -
Valid %%UnweightedFrequency
LabelValue
0.0%0.0 %495CORPUS CHRISTI, TX METRO18580
0.1%0.1 %1106CUMBERLAND, MD-WV METRO19060
0.2%0.1 %2326DALLAS-FORT WORTH-ARLINGTON, TXMETRO
19100
0.0%0.0 %309DANVILLE, VA METRO19260
0.0%0.0 %158DAPHNE-FAIRHOPE, AL MICRO19300
0.3%0.3 %4440DAVENPORT-MOLINE-ROCK ISLAND, IA-ILMETRO
19340
0.5%0.4 %6275DAYTON, OH METRO19380
0.0%0.0 %612DECATUR, AL METRO19460
0.0%0.0 %414DECATUR, IL METRO19500
0.2%0.1 %2345DELTONA-DAYTONA BEACH-ORMOND BEACH,FL METRO
19660
2.4%1.9 %31592DENVER-AURORA, CO METRO19740
0.5%0.4 %6807DES MOINES, IA METRO19780
2.8%2.3 %36946DETROIT-WARREN-LIVONIA, MI METRO19820
0.0%0.0 %594DOTHAN, AL METRO20020
0.0%0.0 %409DOVER, DE METRO20100
0.1%0.1 %1217DULUTH, MN-WI METRO20260
0.2%0.1 %2118DURHAM, NC METRO20500
0.1%0.1 %1318EAST LIVERPOOL-SALEM, OH MICRO20620
0.0%0.0 %635EAU CLAIRE, WI METRO20740
0.1%0.0 %781ELKHART-GOSHEN, IN METRO21140
0.1%0.1 %942EL PASO, TX METRO21340
0.2%0.1 %2122ERIE, PA METRO21500
0.4%0.3 %5408EUGENE-SPRINGFIELD, OR METRO21660
0.0%0.0 %462EVANSVILLE, IN-KY METRO21780
0.0%0.0 %266FARGO, ND-MN METRO22020
0.1%0.1 %1858FAYETTEVILLE, NC METRO22180
0.1%0.1 %844FAYETTEVILLE-SPRINGDALE-ROGERS,AR-MOMETRO
22220
0.3%0.2 %3410FLINT, MI METRO22420
0.0%0.0 %354FLORENCE, AL METRO22460
0.1%0.1 %1371FLORENCE, SC METRO22500
0.0%0.0 %318FORT COLLINS-LOVELAND, CO METRO22660
0.0%0.0 %523FORT SMITH, AR-OK METRO22900
0.0%0.0 %630FORT WALTON BEACH-CRESTVIEW-DESTIN,FL METRO
23020
0.1%0.0 %674FORT WAYNE, IN METRO23060
0.6%0.5 %7756FRESNO, CA METRO23420
0.1%0.1 %848GADSDEN, AL METRO23460
- 2651 -
- 22 -
Valid %%UnweightedFrequency
LabelValue
0.1%0.1 %1468GAINESVILLE, FL METRO23540
0.1%0.1 %1099GLENS FALLS, NY METRO24020
0.0%0.0 %601GOLDSBORO, NC METRO24140
0.1%0.1 %1420GRAND JUNCTION, CO METRO24300
0.7%0.6 %9539GRAND RAPIDS-WYOMING, MI METRO24340
0.2%0.2 %3035GREELEY, CO METRO24540
0.0%0.0 %148GREEN BAY, WI METRO24580
0.2%0.1 %2397GREENSBORO-HIGH POINT, NC METRO24660
0.2%0.2 %2656GREENVILLE, NC METRO24780
0.3%0.2 %3628GREENVILLE, SC METRO24860
0.0%0.0 %187GULFPORT-BILOXI, MS METRO25060
0.1%0.1 %1338HAGERSTOWN-MARTINSBURG, MD-WVMETRO
25180
0.2%0.2 %3232HARRISBURG-CARLISLE, PA METRO25420
1.7%1.4 %22242HARTFORD-WEST HARTFORD-EASTHARTFORD, CT METRO
25540
0.0%0.0 %11HATTIESBURG, MS METRO25620
0.1%0.1 %1521HICKORY-MORGANTON-LENOIR, NC METRO25860
0.2%0.2 %3286HOLLAND-GRAND HAVEN, MI METRO26100
0.3%0.2 %3595HONOLULU, HI METRO26180
0.1%0.1 %1605HOUMA-BAYOU CANE-THIBODAUX, LA METRO26380
0.2%0.2 %2584HOUSTON-BAYTOWN-SUGAR LAND, TXMETRO
26420
0.0%0.0 %362HUNTINGTON-ASHLAND, WV-KY-OH METRO26580
0.1%0.0 %706HUNTSVILLE, AL METRO26620
0.4%0.3 %5692INDIANAPOLIS, IN METRO26900
0.1%0.1 %1711IOWA CITY, IA METRO26980
0.1%0.1 %1317JACKSON, MI METRO27100
0.0%0.0 %591JACKSON, MS METRO27140
0.0%0.0 %651JACKSON, TN METRO27180
0.4%0.3 %4711JACKSONVILLE, FL METRO27260
0.1%0.1 %840JACKSONVILLE, NC METRO27340
0.1%0.1 %1291JAMESTOWN-DUNKIRK-FREDONIA, NY MICRO27460
0.1%0.1 %841JANESVILLE, WI METRO27500
0.0%0.0 %146JOHNSON, CITYTN METRO27740
0.1%0.0 %786JOHNSTOWN, PA METRO27780
0.1%0.1 %1635JOPLIN, MO METRO27900
0.3%0.3 %4410KALAMAZOO-PORTAGE, MI METRO28020
0.0%0.0 %268KANKAKEE-BRADLEY, IL METRO28100
0.8%0.6 %10098KANSAS CITY, MO-KS METRO28140
0.1%0.1 %1227KENNEWICK-RICHLAND-PASCO, WA METRO28420
- 2651 -
- 23 -
Valid %%UnweightedFrequency
LabelValue
0.0%0.0 %13KILLEEN-TEMPLE-FORT HOOD, TX METRO28660
0.0%0.0 %81KINGSPORT-BRISTOL, TN-VA METRO28700
0.1%0.1 %1991KNOXVILLE, TN METRO28940
0.0%0.0 %124KOKOMO, IN METRO29020
0.0%0.0 %238LA CROSSE, WI-MN METRO29100
0.0%0.0 %479LAFAYETTE, IN METRO29140
0.0%0.0 %286LAFAYETTE, LA METRO29180
0.1%0.1 %1191LAKE CHARLES, LA METRO29340
0.2%0.1 %2031LAKELAND-WINTER HAVEN, FL METRO29460
0.2%0.1 %2400LANCASTER, PA METRO29540
0.3%0.2 %3962LANSING-EAST LANSING, MI METRO29620
0.0%0.0 %120LAREDO, TX METRO29700
0.0%0.0 %402LAS CRUCES, NM METRO29740
0.3%0.3 %4484LAS VEGAS-PARADISE, NV METRO29820
0.1%0.0 %814LAWTON, OK METRO30020
0.0%0.0 %414LEBANON, PA METRO30140
0.1%0.0 %690LEXINGTON-THOMASVILLE, NC MICRO30540
0.1%0.0 %790LIMA, OH METRO30620
0.6%0.4 %7338LINCOLN, NE METRO30700
0.3%0.2 %3644LITTLE ROCK-NORTH LITTLE ROCK, ARMETRO
30780
0.0%0.0 %86LONGVIEW, TX METRO30980
4.2%3.4 %55774LOS ANGELES-LONG BEACH-SANTA ANA, CAMETRO
31100
0.1%0.1 %1173LOUISVILLE, KY-IN METRO31140
0.0%0.0 %627LUBBOCK, TX METRO31180
0.0%0.0 %401LYNCHBURG, VA METRO31340
0.1%0.0 %810MACON, GA METRO31420
0.0%0.0 %590MADERA, CA METRO31460
0.0%0.0 %61MADISON, WI METRO31540
0.1%0.1 %1337MANCHESTER-NASHUA, NH METRO31700
0.0%0.0 %631MANSFIELD, OH METRO31900
0.0%0.0 %611MAYAGUEZ, PR METRO32420
0.0%0.0 %134MCALLEN-EDINBURG-PHARR, TX METRO32580
0.2%0.2 %2821MEDFORD, OR METRO32780
0.2%0.1 %2237MEMPHIS, TN-MS-AR METRO32820
0.1%0.1 %900MERCED, CA METRO32900
1.7%1.4 %23214MIAMI-FORT LAUDERDALE-MIAMI BEACH, FLMETRO
33100
0.1%0.1 %1228MILWAUKEE-WAUKESHA-WEST ALLIS, WIMETRO
33340
- 2651 -
- 24 -
Valid %%UnweightedFrequency
LabelValue
1.8%1.4 %23681MINNEAPOLIS-ST. PAUL-BLOOMINGTON,MN-WI METRO
33460
0.1%0.1 %1460MOBILE, AL METRO33660
0.1%0.1 %1671MODESTO, CA METRO33700
0.0%0.0 %383MONROE, LA METRO33740
0.1%0.1 %950MONROE, MI METRO33780
0.1%0.1 %1144MONTGOMERY, AL METRO33860
0.1%0.1 %1094MUNCIE, IN METRO34620
0.3%0.2 %3794MUSKEGON-NORTON SHORES, MI METRO34740
0.1%0.1 %1170MYRTLE BEACH-CONWAY-NORTH MYRTLEBEACH, SC METRO
34820
0.0%0.0 %496NAPA, CA METRO34900
0.1%0.1 %1242NAPLES-MARCO ISLAND, FL METRO34940
0.1%0.1 %1506NASHVILLE-DAVIDSON--MURFREESBORO, TNMETRO
34980
0.5%0.4 %6545NEW HAVEN-MILFORD, CT METRO35300
0.2%0.2 %2898NEW ORLEANS-METAIRIE-KENNER, LA METRO35380
13.0%10.6 %173690NEW YORK-NEWARK-EDISON, NY-NJ-PAMETRO
35620
0.0%0.0 %316NILES-BENTON HARBOR, MI METRO35660
0.3%0.2 %4062NORWICH-NEW LONDON, CT METRO35980
0.1%0.1 %1277OCALA, FL METRO36100
0.1%0.0 %765OCEAN CITY, NJ METRO36140
0.0%0.0 %75ODESSA, TX METRO36220
0.1%0.1 %1373OGDEN-CLEARFIELD, UT METRO36260
0.5%0.4 %6017OKLAHOMA CITY, OK METRO36420
0.1%0.1 %994OLYMPIA, WA METRO36500
0.5%0.4 %7242OMAHA-COUNCIL BLUFFS, NE-IA METRO36540
0.6%0.5 %8474ORLANDO, FL METRO36740
0.0%0.0 %311OSHKOSH-NEENAH, WI METRO36780
0.2%0.2 %2596OXNARD-VENTURA-THOUSAND OAKSVENTURA, CA METRO
37100
0.1%0.1 %872PALM BAY-MELBOURNE-TITUSVILLE, FLMETRO
37340
0.0%0.0 %567PANAMA CITY-LYNN HAVEN, FL METRO37460
0.0%0.0 %302PARKERSBURG-MARIETTA, WV-OH METRO37620
0.0%0.0 %49PASCAGOULA, MS METRO37700
0.1%0.1 %1642PENSACOLA-FERRY PASS-BRENT, FL METRO37860
0.1%0.1 %1038PEORIA, IL METRO37900
2.2%1.8 %29320PHILADELPHIA-CAMDEN-WILMINGTON,PA-NJ-DE-M METRO
37980
0.6%0.5 %7744PITTSBURGH, PA METRO38300
- 2651 -
- 25 -
Valid %%UnweightedFrequency
LabelValue
0.0%0.0 %546PONCE, PR METRO38660
0.3%0.2 %3332PORTLAND-SOUTH PORTLAND, ME METRO38860
1.5%1.2 %20075PORTLAND-VANCOUVER-BEAVERTON, OR-WAMETRO
38900
0.1%0.1 %1583PORT ST. LUCIE, FL METRO38940
0.7%0.5 %8880POUGHKEEPSIE-NEWBURGH-MIDDLETOWN,NY METRO
39100
1.3%1.1 %17428PROVIDENCE-NEW BEDFORD-FALL RIVER,RI-MA METRO
39300
0.1%0.1 %867PROVO-OREM, UT METRO39340
0.5%0.4 %6423PUEBLO, CO METRO39380
0.0%0.0 %368PUNTA GORDA, FL METRO39460
0.0%0.0 %578RACINE, WI METRO39540
0.2%0.2 %3075RALEIGH-CARY, NC METRO39580
0.2%0.2 %3111READING, PA METRO39740
0.1%0.1 %978REDDING, CA METRO39820
0.1%0.1 %1893RENO-SPARKS, NV METRO39900
0.1%0.1 %1935RICHMOND, VA METRO40060
0.9%0.8 %12402RIVERSIDE-SAN BERNARDINO-ONTARIO, CAMETRO
40140
0.1%0.1 %1261ROANOKE, VA METRO40220
0.1%0.0 %742ROCHESTER, MN METRO40340
1.0%0.8 %12971ROCHESTER, NY METRO40380
0.1%0.1 %1087ROCKFORD, IL METRO40420
0.1%0.1 %864ROCKY MOUNT, NC METRO40580
0.7%0.6 %9146SACRAMENTO--ARDEN-ARCADE--ROSEVILLE,CA METRO
40900
0.1%0.1 %1854SAGINAW-SAGINZW TOWNSHIP NORTH, MIMETRO
40980
0.1%0.1 %1106SAINT CLOUD, MN METRO41060
0.1%0.0 %720SAINT JOSEPH, MO-KS METRO41140
0.8%0.7 %10669SAINT LOUIS, MO-IL METRO41180
0.4%0.3 %4913SALEM, OR METRO41420
0.1%0.1 %1793SALINAS, CA METRO41500
0.8%0.7 %11021SALT LAKE CITY, UT METRO41620
0.0%0.0 %92SAN ANGELO, TX METRO41660
0.0%0.0 %578SAN ANTONIO, TX METRO41700
0.9%0.7 %12225SAN DIEGO-CARLSBAD-SAN MARCOS, CAMETRO
41740
2.4%1.9 %31793SAN FRANCISCO-OAKLAND-FREMONT, CAMETRO
41860
- 2651 -
- 26 -
Valid %%UnweightedFrequency
LabelValue
0.4%0.3 %5361SAN JOSE-SUNNYVALE-SANTA CLARA, CAMETRO
41940
0.2%0.2 %3210SAN JUAN-CAGUAS-GUAYNABO, PR METRO41980
0.1%0.0 %767SAN LUIS OBISPO-PASO ROBLES, CA METRO42020
0.2%0.2 %2506SANTA BARBARA-SANTA MARIA-GOLETA, CAMETRO
42060
0.1%0.1 %1837SANTA CRUZ-WATSONVILLE, CA METRO42100
0.1%0.0 %771SANTA FE, NM METRO42140
0.3%0.3 %4616SANTA ROSA, CA METRO42220
0.2%0.1 %2041SARASOTA-BRADENTON-VENICE, FL METRO42260
0.1%0.1 %1303SAVANNAH, GA METRO42340
0.3%0.2 %3361SCRANTON--WILKES-BARRE-, PA METRO42540
1.5%1.2 %19960SEATTLE-TACOMA-BELLEVUE, WA METRO42660
0.0%0.0 %393SHEBOYGAN, WI METRO43100
0.1%0.1 %1348SHREVEPORT-BOSSIER CITY, LA METRO43340
0.2%0.1 %2135SIOUX CITY, IA-NE-SD METRO43580
0.2%0.1 %2446SIOUX FALLS, SD METRO43620
0.1%0.1 %1289SOUTH BEND-MISHAWAKA, IN-MI METRO43780
0.2%0.1 %2095SPARTANBURG, SC METRO43900
0.3%0.3 %4240SPOKANE, WA METRO44060
0.0%0.0 %571SPRINGFIELD, IL METRO44100
0.5%0.4 %7072SPRINGFIELD, MA METRO44140
0.2%0.2 %2663SPRINGFIELD, MO METRO44180
0.1%0.1 %1018SPRINGFIELD, OH METRO44220
0.0%0.0 %348STATE COLLEGE, PA METRO44300
0.2%0.2 %2725STOCKTON, CA METRO44700
0.1%0.1 %959SUMTER, SC METRO44940
0.6%0.5 %8390SYRACUSE, NY METRO45060
0.1%0.0 %721TALLAHASSEE, FL METRO45220
1.1%0.9 %14670TAMPA-ST. PETERSBURG-CLEARWATER, FLMETRO
45300
0.0%0.0 %21TERRE HAUTE, IN METRO45460
0.4%0.3 %5271TOLEDO, OH METRO45780
0.2%0.1 %2207TOPEKA, KS METRO45820
0.2%0.2 %2525TRENTON-EWING, NJ METRO45940
0.4%0.3 %5189TULSA, OK METRO46140
0.1%0.1 %1183TUSCALOOSA, AL METRO46220
0.0%0.0 %77TYLER, TX METRO46340
0.2%0.2 %3012UTICA-ROME, NY METRO46540
0.1%0.1 %1162VALLEJO-FAIRFIELD, CA METRO46700
0.2%0.2 %2459VINELAND-MILLVILLE-BRIDGETON, NJ METRO47220
- 2651 -
- 27 -
Valid %%UnweightedFrequency
LabelValue
0.6%0.5 %7971VIRGINIA BEACH-NORFOLK-NEWPORT NEWS,VA-NC METRO
47260
0.1%0.1 %1916VISALIA-PORTERVILLE, CA METRO47300
0.0%0.0 %404WACO, TX METRO47360
0.0%0.0 %2WARNER ROBINS, GA METRO47580
1.3%1.1 %17679WASHINGTON-ARLINGTIN-ALEXANDRIA,DC-VA-MD-W METRO
47900
0.2%0.2 %3215WATERLOO-CEDAR FALLS, IA METRO47940
0.1%0.1 %955WAUSAU, WI METRO48140
0.0%0.0 %546WEIRTON-STEUBENVILLE, WV-OH METRO48260
0.0%0.0 %389WHEELING, WV-OH METRO48540
0.4%0.3 %5486WICHITA, KS METRO48620
0.0%0.0 %41WICHITA FALLS, TX METRO48660
0.0%0.0 %418WILLIAMSPORT, PA METRO48700
0.1%0.1 %1478WILMINGTON, NC METRO48900
0.2%0.2 %2760WINSTON-SALEM, NC METRO49180
0.8%0.6 %10581WORCESTER, MA METRO49340
0.3%0.2 %3983YAKIMA, WA METRO49420
0.1%0.1 %948YORK-HANOVER, PA METRO49620
0.4%0.4 %5792YOUNGSTOWN-WARREN-BOARDMAN, OH-PAMETRO
49660
0.1%0.0 %720YUBA CITY-MARYSVILLE, CA METRO49700
-18.7 %305322UNDESIGNATEDAREA/MISSING/UNKNOWN/NOTCOLLECTED/INVALID
-9 (M)
Based upon 1331771 valid cases out of 1637093 total cases.
FIPS 1990 MSA CODEPMSA
44-47 (width: 4; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
According to the U.S. Bureau of the Census, if an area that qualifies as a Metropolitan Area (MA)has more than one million persons, PMSAs may be defined within it. PMSAs consist of a large
Question:
urbanized county or cluster of counties that demonstrates very strong internal economic and sociallinks, in addition to close ties to other portions of the larger area. When PMSAs are established, thelarger area of which they are component parts is designated a consolidated metropolitan statisticalarea (CMSA). In New England States, metropolitan areas follow the New England County MetropolitanArea (NECMA) definition.
Valid %%UnweightedFrequency
LabelValue
0.1%0.0 %777ABILENE, TX MSA40
0.0%0.0 %285AGUADILLA, PR MSA60
0.7%0.6 %9064AKRON, OH PMSA80
- 2651 -
- 28 -
Valid %%UnweightedFrequency
LabelValue
0.1%0.0 %793ALBANY, GA MSA120
1.2%0.9 %15487ALBANY-SCHENECTADY-TROY, NY MSA160
0.2%0.1 %2380ALBUQUERQUE, NM MSA200
0.2%0.2 %2926ALEXANDRIA, LA MSA220
0.2%0.2 %2473ALLENTOWN-BETHLEHEM-EASTON, PA MSA240
0.1%0.1 %1591ALTOONA, PA MSA280
0.0%0.0 %45AMARILLO, TX MSA320
0.2%0.2 %2902ANCHORAGE, AK MSA380
0.2%0.2 %2967ANN ARBOR, MI PMSA440
0.0%0.0 %337ANNISTON, AL MSA450
0.1%0.0 %736APPLETON-OSHKOSH-NEENAH, WI MSA460
0.1%0.1 %848ARECIBO, PR PMSA470
0.2%0.2 %2737ASHEVILLE, NC MSA480
0.1%0.1 %892ATHENS, GA MSA500
0.5%0.4 %7127ATLANTA, GA MSA520
0.2%0.2 %3294ATLANTIC-CAPE MAY, NJ PMSA560
0.0%0.0 %302AUBURN-OPELIKA, AL MSA580
0.2%0.2 %2461AUGUSTA-AIKEN, GA-SC MSA600
0.1%0.1 %1835AUSTIN-SAN MARCOS, TX MSA640
0.3%0.3 %4547BAKERSFIELD, CA MSA680
2.7%2.2 %35803BALTIMORE, MD PMSA720
0.3%0.2 %3573BARNSTABLE-YARMOUTH, MA NECMA743
0.2%0.1 %2095BATON ROUGE, LA MSA760
0.0%0.0 %164BEAUMONT-PORT ARTHUR, TX MSA840
0.2%0.1 %2402BELLINGHAM, WA MSA860
0.0%0.0 %316BENTON HARBOR, MI MSA870
0.6%0.5 %7922BERGEN-PASSAIC, NJ PMSA875
0.1%0.1 %922BILLINGS, MT MSA880
0.0%0.0 %236BILOXI-GULFPORT-PASCAGOULA, MS MSA920
0.2%0.2 %2941BINGHAMTON, NY MSA960
0.4%0.3 %5538BIRMINGHAM, AL MSA1000
0.1%0.1 %823BLOOMINGTON, IN MSA1020
0.0%0.0 %414BLOOMINGTON-NORMAL, IL MSA1040
0.2%0.1 %2405BOISE CITY, ID MSA1080
4.4%3.6 %59140BOSTON-WORCESTER-LAWRENCE-LOWELL-BROCKTON,MA-NH NECMA
1123
0.2%0.2 %2539BOULDER-LONGMONT, CO PMSA1125
0.0%0.0 %370BRAZORIA, TX PMSA1145
0.2%0.2 %2658BREMERTON, WA PMSA1150
0.0%0.0 %177BROWNSVILLE-HARLINGEN-SAN BENITO, TXMSA
1240
- 2651 -
- 29 -
Valid %%UnweightedFrequency
LabelValue
1.5%1.2 %20421BUFFALO-NIAGARA FALLS, NY MSA1280
0.2%0.1 %2362BURLINGTON, VT NECMA1303
0.0%0.0 %493CAGUAS, PR PMSA1310
0.3%0.2 %3457CANTON-MASSILLON, OH MSA1320
0.3%0.2 %4058CEDAR RAPIDS, IA MSA1360
0.1%0.0 %777CHAMPAIGN-URBANA, IL MSA1400
0.3%0.3 %4525CHARLESTON-NORTH CHARLESTON, SC MSA1440
0.0%0.0 %475CHARLESTON, WV MSA1480
0.8%0.6 %10454CHARLOTTE-GASTONIA-ROCK HILL, NC-SCMSA
1520
0.1%0.1 %1650CHATTANOOGA, TN-GA MSA1560
1.3%1.1 %17227CHICAGO, IL PMSA1600
0.1%0.1 %1145CHICO-PARADISE, CA MSA1620
0.7%0.5 %8802CINCINNATI, OH-KY-IN PMSA1640
0.0%0.0 %259CLARKSVILLE-HOPKINSVILLE, TN-KY MSA1660
1.5%1.2 %19972CLEVELAND-LORAIN-ELYRIA, OH PMSA1680
0.3%0.3 %4205COLORADO SPRINGS, CO MSA1720
0.1%0.1 %1203COLUMBIA, MO MSA1740
0.4%0.3 %4715COLUMBIA, SC MSA1760
0.1%0.1 %1031COLUMBUS, GA-AL MSA1800
0.9%0.8 %12502COLUMBUS, OH MSA1840
0.0%0.0 %495CORPUS CHRISTI, TX MSA1880
0.1%0.1 %1106CUMBERLAND, MD-WV MSA1900
0.1%0.1 %1198DALLAS, TX PMSA1920
0.0%0.0 %309DANVILLE, VA MSA1950
0.3%0.3 %4440DAVENPORT-MOLINE-ROCK ISLAND, IA-IL MSA1960
0.5%0.4 %7293DAYTON-SPRINGFIELD, OH MSA2000
0.2%0.1 %2345DAYTONA BEACH, FL MSA2020
0.0%0.0 %612DECATUR, AL MSA2030
0.0%0.0 %414DECATUR, IL MSA2040
2.4%1.9 %31592DENVER, CO PMSA2080
0.5%0.4 %6807DES MOINES, IA MSA2120
2.8%2.2 %36653DETROIT, MI PMSA2160
0.0%0.0 %594DOTHAN, AL MSA2180
0.0%0.0 %409DOVER, DE MSA2190
0.1%0.1 %1217DULUTH-SUPERIOR, MN-WI MSA2240
0.4%0.3 %5000DUTCHESS COUNTY, NY PMSA2281
0.0%0.0 %635EAU CLAIRE, WI MSA2290
0.1%0.1 %942EL PASO, TX MSA2320
0.1%0.0 %781ELKHART-GOSHEN, IN MSA2330
- 2651 -
- 30 -
Valid %%UnweightedFrequency
LabelValue
0.2%0.1 %2122ERIE, PA MSA2360
0.4%0.3 %5408EUGENE-SPRINGFIELD, OR MSA2400
0.0%0.0 %462EVANSVILLE-HENDERSON, IN-KY MSA2440
0.0%0.0 %266FARGO-MOORHEAD, ND-MN MSA2520
0.1%0.1 %1858FAYETTEVILLE, NC MSA2560
0.1%0.1 %844FAYETTEVILLE-SPRINGDALE-ROGERS, ARMSA
2580
0.3%0.2 %3410FLINT, MI PMSA2640
0.0%0.0 %354FLORENCE, AL MSA2650
0.1%0.1 %1371FLORENCE, SC MSA2655
0.0%0.0 %318FORT COLLINS-LOVELAND, CO MSA2670
0.5%0.4 %7017FORT LAUDERDALE, FL PMSA2680
0.2%0.1 %2056FORT MYERS-CAPE CORAL, FL MSA2700
0.1%0.1 %1583FORT PIERCE-PORT ST. LUCIE, FL MSA2710
0.0%0.0 %523FORT SMITH, AR-OK MSA2720
0.0%0.0 %630FORT WALTON BEACH, FL MSA2750
0.1%0.0 %674FORT WAYNE, IN MSA2760
0.1%0.1 %1128FORT WORTH-ARLINGTON, TX PMSA2800
0.6%0.5 %8346FRESNO, CA MSA2840
0.1%0.1 %848GADSDEN, AL MSA2880
0.1%0.1 %1468GAINESVILLE, FL MSA2900
0.0%0.0 %310GALVESTON-TEXAS CITY, TX PMSA2920
0.0%0.0 %364GARY, IN PMSA2960
0.1%0.1 %1099GLENS FALLS, NY MSA2975
0.0%0.0 %601GOLDSBORO, NC MSA2980
0.1%0.1 %1420GRAND JUNCTION, CO MSA2995
1.3%1.1 %17234GRAND RAPIDS-MUSKEGON-HOLLAND, MIMSA
3000
0.2%0.2 %3035GREELEY, CO PMSA3060
0.0%0.0 %148GREEN BAY, WI MSA3080
0.5%0.4 %6636GREENSBORO--WINSTON-SALEM--HIGHPOINT, NC MSA
3120
0.2%0.2 %2656GREENVILLE, NC MSA3150
0.5%0.4 %7260GREENVILLE-SPARTANBURG-ANDERSON, SCMSA
3160
0.1%0.1 %1338HAGERSTOWN, MD PMSA3180
0.1%0.1 %1348HAMILTON-MIDDLETOWN, OH PMSA3200
0.3%0.2 %3646HARRISBURG-LEBANON-CARLISLE, PA MSA3240
1.7%1.4 %22242HARTFORD, CT NECMA3283
0.0%0.0 %11HATTIESBURG, MS MSA3285
0.1%0.1 %1521HICKORY-MORGANTON, NC MSA3290
- 2651 -
- 31 -
Valid %%UnweightedFrequency
LabelValue
0.3%0.2 %3595HONOLULU, HI MSA3320
0.1%0.1 %1605HOUMA, LA MSA3350
0.1%0.1 %1904HOUSTON, TX PMSA3360
0.0%0.0 %362HUNTINGTON-ASHLAND, WV-KY-OH MSA3400
0.1%0.0 %706HUNTSVILLE, AL MSA3440
0.4%0.4 %5774INDIANAPOLIS, IN MSA3480
0.1%0.1 %1711IOWA CITY, IA MSA3500
0.1%0.1 %1317JACKSON, MI MSA3520
0.0%0.0 %591JACKSON, MS MSA3560
0.0%0.0 %651JACKSON, TN MSA3580
0.4%0.3 %4711JACKSONVILLE, FL MSA3600
0.1%0.1 %840JACKSONVILLE, NC MSA3605
0.1%0.1 %1291JAMESTOWN, NY MSA3610
0.1%0.1 %841JANESVILLE-BELOIT, WI MSA3620
0.4%0.3 %4924JERSEY CITY, NJ PMSA3640
0.0%0.0 %227JOHNSON CITY-KINGSPORT-BRISTOL, TN-VAMSA
3660
0.1%0.0 %786JOHNSTOWN, PA MSA3680
0.1%0.1 %1635JOPLIN, MO MSA3710
0.4%0.3 %5091KALAMAZOO-BATTLE CREEK, MI MSA3720
0.0%0.0 %268KANKAKEE, IL PMSA3740
0.8%0.6 %10098KANSAS CITY, MO-KS MSA3760
0.0%0.0 %423KENOSHA, WI PMSA3800
0.0%0.0 %13KILLEEN-TEMPLE, TX MSA3810
0.1%0.1 %1991KNOXVILLE, TN MSA3840
0.0%0.0 %124KOKOMO, IN MSA3850
0.0%0.0 %238LA CROSSE, WI-MN MSA3870
0.0%0.0 %286LAFAYETTE, LA MSA3880
0.0%0.0 %479LAFAYETTE, IN MSA3920
0.1%0.1 %1191LAKE CHARLES, LA MSA3960
0.2%0.1 %2031LAKELAND-WINTER HAVEN, FL MSA3980
0.2%0.1 %2400LANCASTER, PA MSA4000
0.3%0.2 %3962LANSING-EAST LANSING, MI MSA4040
0.0%0.0 %120LAREDO, TX MSA4080
0.0%0.0 %402LAS CRUCES, NM MSA4100
0.3%0.3 %4484LAS VEGAS, NV-AZ MSA4120
0.1%0.0 %814LAWTON, OK MSA4200
0.1%0.0 %790LIMA, OH MSA4320
0.6%0.4 %7338LINCOLN, NE MSA4360
0.3%0.2 %3644LITTLE ROCK-NORTH LITTLE ROCK, AR MSA4400
- 2651 -
- 32 -
Valid %%UnweightedFrequency
LabelValue
0.0%0.0 %86LONGVIEW-MARSHALL, TX MSA4420
3.3%2.7 %44322LOS ANGELES-LONG BEACH, CA PMSA4480
0.1%0.1 %1173LOUISVILLE, KY-IN MSA4520
0.0%0.0 %627LUBBOCK, TX MSA4600
0.0%0.0 %401LYNCHBURG, VA MSA4640
0.1%0.0 %812MACON, GA MSA4680
0.0%0.0 %61MADISON, WI MSA4720
0.0%0.0 %631MANSFIELD, OH MSA4800
0.0%0.0 %611MAYAGUEZ, PR MSA4840
0.0%0.0 %134MCALLEN-EDINBURG-MISSION, TX MSA4880
0.2%0.2 %2821MEDFORD-ASHLAND, OR MSA4890
0.1%0.1 %872MELBOURNE-TITUSVILLE-PALM BAY, FL MSA4900
0.2%0.1 %2237MEMPHIS, TN-AR-MS MSA4920
0.1%0.1 %900MERCED, CA MSA4940
0.8%0.6 %10402MIAMI, FL PMSA5000
0.5%0.4 %6844MIDDLESEX-SOMERSET-HUNTERDON, NJPMSA
5015
0.1%0.1 %1228MILWAUKEE-WAUKESHA, WI PMSA5080
1.8%1.4 %23681MINNEAPOLIS-ST. PAUL, MN-WI MSA5120
0.1%0.1 %1618MOBILE, AL MSA5160
0.1%0.1 %1671MODESTO, CA MSA5170
0.5%0.4 %6947MONMOUTH-OCEAN, NJ PMSA5190
0.0%0.0 %383MONROE, LA MSA5200
0.1%0.1 %1144MONTGOMERY, AL MSA5240
0.1%0.1 %1094MUNCIE, IN MSA5280
0.1%0.1 %1170MYRTLE BEACH, SC MSA5330
0.1%0.1 %1242NAPLES, FL MSA5345
0.1%0.1 %1506NASHVILLE, TN MSA5360
2.2%1.8 %29640NASSAU-SUFFOLK, NY PMSA5380
1.2%1.0 %16065NEWHAVEN-BRIDGEPORT-STAMFORD-WATERBURY-DANBURY,CT NECMA
5483
0.3%0.2 %4062NEW LONDON-NORWICH, CT NECMA5523
0.2%0.2 %2898NEW ORLEANS, LA MSA5560
7.4%6.0 %97998NEW YORK, NY PMSA5600
1.5%1.2 %20224NEWARK, NJ PMSA5640
0.3%0.2 %4023NEWBURGH, NY-PA PMSA5660
0.6%0.5 %7971NORFOLK-VIRGINIA BEACH-NEWPORT NEWS,VA-NC MSA
5720
1.4%1.2 %19191OAKLAND, CA PMSA5775
0.1%0.1 %1277OCALA, FL MSA5790
- 2651 -
- 33 -
Valid %%UnweightedFrequency
LabelValue
0.0%0.0 %75ODESSA-MIDLAND, TX MSA5800
0.5%0.4 %6017OKLAHOMA CITY, OK MSA5880
0.1%0.1 %994OLYMPIA, WA PMSA5910
0.5%0.4 %7242OMAHA, NE-IA MSA5920
0.9%0.7 %11452ORANGE COUNTY, CA PMSA5945
0.6%0.5 %8474ORLANDO, FL MSA5960
0.0%0.0 %567PANAMA CITY, FL MSA6015
0.0%0.0 %302PARKERSBURG-MARIETTA, WV-OH MSA6020
0.1%0.1 %1642PENSACOLA, FL MSA6080
0.1%0.1 %1038PEORIA-PEKIN, IL MSA6120
1.9%1.6 %25685PHILADELPHIA, PA-NJ PMSA6160
0.6%0.5 %7744PITTSBURGH, PA MSA6280
0.0%0.0 %546PONCE, PR MSA6360
0.3%0.2 %3332PORTLAND, ME NECMA6403
1.5%1.2 %20075PORTLAND-VANCOUVER, OR-WA PMSA6440
0.8%0.7 %11244PROVIDENCE-WARWICK-PAWTUCKET, RINECMA
6483
0.1%0.1 %867PROVO-OREM, UT MSA6520
0.5%0.4 %6423PUEBLO, CO MSA6560
0.0%0.0 %368PUNTA GORDA, FL MSA6580
0.0%0.0 %578RACINE, WI PMSA6600
0.4%0.3 %5193RALEIGH-DURHAM-CHAPEL HILL, NC MSA6640
0.2%0.2 %3111READING, PA MSA6680
0.1%0.1 %978REDDING, CA MSA6690
0.1%0.1 %1893RENO, NV MSA6720
0.1%0.1 %1227RICHLAND-KENNEWICK-PASCO, WA MSA6740
0.1%0.1 %1935RICHMOND-PETERSBURG, VA MSA6760
0.9%0.8 %12402RIVERSIDE-SAN BERNARDINO, CA PMSA6780
0.1%0.1 %1261ROANOKE, VA MSA6800
0.1%0.0 %742ROCHESTER, MN MSA6820
1.0%0.8 %12971ROCHESTER, NY MSA6840
0.1%0.1 %1087ROCKFORD, IL MSA6880
0.1%0.1 %864ROCKY MOUNT, NC MSA6895
0.6%0.5 %7542SACRAMENTO, CA PMSA6920
0.2%0.2 %2927SAGINAW-BAY CITY-MIDLAND, MI MSA6960
0.1%0.1 %1106ST. CLOUD, MN MSA6980
0.1%0.0 %720ST. JOSEPH, MO MSA7000
0.8%0.7 %10669ST. LOUIS, MO-IL MSA7040
0.4%0.3 %4913SALEM, OR PMSA7080
0.1%0.1 %1793SALINAS, CA MSA7120
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- 34 -
Valid %%UnweightedFrequency
LabelValue
0.9%0.8 %12394SALT LAKE CITY-OGDEN, UT MSA7160
0.0%0.0 %92SAN ANGELO, TX MSA7200
0.0%0.0 %578SAN ANTONIO, TX MSA7240
0.9%0.7 %12225SAN DIEGO, CA MSA7320
0.9%0.8 %12602SAN FRANCISCO, CA PMSA7360
0.4%0.3 %5361SAN JOSE, CA PMSA7400
0.1%0.1 %1869SAN JUAN-BAYAMON, PR PMSA7440
0.1%0.0 %767SAN LUIS OBISPO-ATASCADERO-PASOROBLES, CA MSA
7460
0.2%0.2 %2506SANTA BARBARA-SANTA MARIA-LOMPOC, CAMSA
7480
0.1%0.1 %1837SANTA CRUZ-WATSONVILLE, CA PMSA7485
0.1%0.0 %771SANTA FE, NM MSA7490
0.3%0.3 %4616SANTA ROSA, CA PMSA7500
0.2%0.1 %2041SARASOTA-BRADENTON, FL MSA7510
0.1%0.1 %1303SAVANNAH, GA MSA7520
0.3%0.2 %3361SCRANTON--WILKES-BARRE--HAZLETON, PAMSA
7560
1.1%0.9 %14418SEATTLE-BELLEVUE-EVERETT, WA PMSA7600
0.1%0.1 %937SHARON, PA MSA7610
0.0%0.0 %393SHEBOYGAN, WI MSA7620
0.1%0.1 %1348SHREVEPORT-BOSSIER CITY, LA MSA7680
0.2%0.1 %2135SIOUX CITY, IA-NE MSA7720
0.2%0.1 %2446SIOUX FALLS, SD MSA7760
0.1%0.1 %1289SOUTH BEND, IN MSA7800
0.3%0.3 %4240SPOKANE, WA MSA7840
0.0%0.0 %571SPRINGFIELD, IL MSA7880
0.2%0.2 %2663SPRINGFIELD, MO MSA7920
0.5%0.4 %7072SPRINGFIELD, MA NECMA8003
0.0%0.0 %348STATE COLLEGE, PA MSA8050
0.0%0.0 %546STEUBENVILLE-WEIRTON, OH-WV MSA8080
0.2%0.2 %2725STOCKTON-LODI, CA MSA8120
0.1%0.1 %959SUMTER, SC MSA8140
0.6%0.5 %8390SYRACUSE, NY MSA8160
0.4%0.3 %5542TACOMA, WA PMSA8200
0.1%0.0 %721TALLAHASSEE, FL MSA8240
1.1%0.9 %14670TAMPA-ST. PETERSBURG-CLEARWATER, FLMSA
8280
0.0%0.0 %21TERRE HAUTE, IN MSA8320
0.4%0.3 %5271TOLEDO, OH MSA8400
0.2%0.1 %2207TOPEKA, KS MSA8440
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- 35 -
Valid %%UnweightedFrequency
LabelValue
0.2%0.2 %2525TRENTON, NJ PMSA8480
0.4%0.3 %5189TULSA, OK MSA8560
0.1%0.1 %1183TUSCALOOSA, AL MSA8600
0.0%0.0 %77TYLER, TX MSA8640
0.2%0.2 %3012UTICA-ROME, NY MSA8680
0.1%0.1 %1658VALLEJO-FAIRFIELD-NAPA, CA PMSA8720
0.2%0.2 %2596VENTURA, CA PMSA8735
0.2%0.2 %2459VINELAND-MILLVILLE-BRIDGETON, NJ PMSA8760
0.1%0.1 %1916VISALIA-TULARE-PORTERVILLE, CA MSA8780
0.0%0.0 %404WACO, TX MSA8800
1.3%1.1 %17679WASHINGTON, DC-MD-VA-WV PMSA8840
0.2%0.2 %3215WATERLOO-CEDAR FALLS, IA MSA8920
0.1%0.1 %955WAUSAU, WI MSA8940
0.4%0.4 %5795WEST PALM BEACH-BOCA RATON, FL MSA8960
0.0%0.0 %389WHEELING, WV-OH MSA9000
0.4%0.3 %5486WICHITA, KS MSA9040
0.0%0.0 %41WICHITA FALLS, TX MSA9080
0.0%0.0 %418WILLIAMSPORT, PA MSA9140
0.3%0.2 %3635WILMINGTON-NEWARK, DE-MD PMSA9160
0.1%0.1 %1478WILMINGTON, NC MSA9200
0.3%0.2 %3983YAKIMA, WA MSA9260
0.1%0.1 %1604YOLO, CA PMSA9270
0.1%0.1 %948YORK, PA MSA9280
0.5%0.4 %6173YOUNGSTOWN-WARREN, OH MSA9320
0.1%0.0 %720YUBA CITY, CA MSA9340
-18.7 %305322UNDESIGNATEDAREA/MISSING/UNKNOWN/NOTCOLLECTED/INVALID
-9 (M)
Based upon 1331771 valid cases out of 1637093 total cases.
CENSUS REGIONREGION
48-49 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
CENSUS REGION: Geographic regions used are based on divisionsQuestion:
used by the U.S. Bureau of Census, 1970 Census of Population.They are comprised of the following states and territories:
- U.S. TERRITORIES: Puerto Rico
- NORTHEAST: New England Division (Connecticut, Maine,Massachusetts, New Hampshire, Rhode Island, Vermont)
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- 36 -
and Middle Atlantic Division (New Jersey, New York,Pennsylvania).
- MIDWEST: East North Central Division (Illinois, Indiana,Michigan, Ohio, Wisconsin) and West North Central Division(Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota,South Dakota).
- SOUTH: South Atlantic Division (Delaware, District ofColumbia, Florida, Georgia, Maryland, North Carolina,South Carolina, Virginia, West Virginia) and East SouthCentral Division (Alabama, Kentucky, Mississippi, Tennessee),and West South Central Division (Arkansas, Louisiana,Oklahoma, Texas).
- WEST: Mountain Division (Arizona, Colorado, Idaho, Montana,Nevada, New Mexico, Utah, Wyoming) and Pacific Division(Alaska, California, Hawaii, Oregon, Washington).
Valid %%UnweightedFrequency
LabelValue
0.3%0.3 %4652US JURISDICTION/TERRITORY0
30.5%30.5 %499281NORTHEAST1
24.7%24.7 %403842MIDWEST2
21.4%21.4 %350897SOUTH3
23.1%23.1 %378421WEST4
Based upon 1637093 valid cases out of 1637093 total cases.
CENSUS DIVISIONDIVISION
50-51 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
CENSUS DIVISION: Census divisions are groupings of statesQuestion:
that are subdivisions of the four census regions. There arenine divisions, which the Census Bureau adopted in 1910 forthe presentation of data. The divisions and the statesincluded in them are:
- U.S. TERRITORIES: Puerto Rico
- NEW ENGLAND: Connecticut, Maine, Massachusetts, NewHampshire, Rhode Island, and Vermont.
- MIDDLE ATLANTIC: New Jersey, New York, and Pennsylvania.
- EAST NORTH CENTRAL: Illinois, Indiana, Michigan, Ohio, andWisconsin.
- WEST NORTH CENTRAL: Iowa, Kansas, Minnesota, Missouri,Nebraska, North Dakota, and South Dakota.
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- 37 -
- SOUTH ATLANTIC: Delaware, District of Columbia, Florida,Georgia, Maryland, North Carolina, South Carolina,Virginia, and West Virginia.
- EAST SOUTH CENTRAL: Alabama, Kentucky, Mississippi, andTennessee.
- WEST SOUTH CENTRAL: Arkansas, Louisiana, Oklahoma, andTexas.
- MOUNTAIN: Arizona, Colorado, Idaho, Montana, Nevada,New Mexico, Utah, and Wyoming.
- PACIFIC: Alaska, California, Hawaii, Oregon, andWashington.
Valid %%UnweightedFrequency
LabelValue
0.3%0.3 %4652US JURISDICTION/TERRITORY0
9.1%9.1 %148404NEW ENGLAND1
21.4%21.4 %350877MID-ATLANTIC2
14.9%14.9 %243700EAST NORTH CENTRAL3
9.8%9.8 %160142WEST NORTH CENTRAL4
16.0%16.0 %261162SOUTH ATLANTIC5
1.8%1.8 %28745EAST SOUTH CENTRAL6
3.7%3.7 %60990WEST SOUTH CENTRAL7
6.1%6.1 %100121MOUNTAIN8
17.0%17.0 %278300PACIFIC9
Based upon 1637093 valid cases out of 1637093 total cases.
SERVICE SETTING AT ADMISSIONSERVSETA
52-53 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Describes the type of service and treatment setting in whichQuestion:
the client is placed at the time of admission or transfer.
- DETOXIFICATION, 24-HOUR SERVICE, HOSPITAL INPATIENT:24 hour per day medical acute care services in hospitalsetting for detoxification of persons with severe medicalcomplications associated with withdrawal.
- DETOXIFICATION, 24-HOUR SERVICE, FREE-STANDING RESIDENTIAL:24 hour per day services in non-hospital setting providingfor safe withdrawal and transition to ongoing treatment.
- REHABILITATION/RESIDENTIAL - HOSPITAL (OTHER THAN DETOX):24 hour per day medical care in a hospital facility inconjunction with treatment services for alcohol and other
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- 38 -
drug abuse and dependency.
- REHABILITATION/RESIDENTIAL - SHORT TERM (30 DAYS OR FEWER):Typically, 30 days or less of non-acute care in a settingwith treatment services for alcohol and other drug abuseand dependency.
- REHABILITATION/RESIDENTIAL - LONG TERM (MORE THAN 30 DAYS):Typically, more than 30 days of non-acute care in a settingwith treatment services for alcohol and other drug abuseand dependency; this may include transitional livingarrangements such as halfway houses.
- AMBULATORY - INTENSIVE OUTPATIENT:As a minimum, the client receives treatment lasting two ormore hours per day for three or more days per week.
- AMBULATORY - NON-INTENSIVE OUTPATIENT:Ambulatory treatment services including individual, family,and/or group services, and may include pharmacologicaltherapies.
- AMBULATORY - DETOXIFICATION:Outpatient treatment services providing for safewithdrawal in an ambulatory setting (pharmacologicalor non-pharmacological).
Valid %%UnweightedFrequency
LabelValue
4.3%4.3 %70912DETOX, 24 HR, HOSPITAL INPATIENT1
15.5%15.5 %254089DETOX, 24 HR, FREE-STANDING RESIDENTIAL2
1.2%1.2 %19578REHAB/RES, HOSPITAL (NON-DETOX)3
7.9%7.9 %130006REHAB/RES, SHORT TERM (30 DAYS ORFEWER)
4
7.8%7.8 %127433REHAB/RES, LONG TERM (MORE THAN 30DAYS)
5
8.6%8.6 %140047AMBULATORY, INTENSIVE OUTPATIENT6
50.7%50.7 %829225AMBULATORY, NON-INTENSIVE OUTPATIENT.7
4.0%4.0 %65493AMBULATORY, DETOXIFICATION8
-0.0 %310MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1636783 valid cases out of 1637093 total cases.
MEDICATION-ASSISTED OPIOID THERAPYMETHUSE
54-55 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies whether the use of Methadone or Buprenorphine is part of the client's treatmentplan.
Question:
- 2651 -
- 39 -
Valid %%UnweightedFrequency
LabelValue
6.3%6.0 %98272YES1
93.7%88.8 %1454387NO2
-5.2 %84434MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1552659 valid cases out of 1637093 total cases.
DAYS WAITING TO ENTER TREATMENTDAYWAIT
56-58 (width: 3; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Indicates the number of days from the first contact orQuestion:
request for service until the client was admitted andthe first clinical service was provided.
Guidelines: This item is intended to capture the numberof days the client must wait to begin treatment becauseof program capacity, treatment availability, admissionsrequirements, or other program requirements. It shouldnot include time delays caused by client unavailabilityor client failure to meet any requirement or obligation.
Based upon 296354 valid cases out of 1637093 total cases.
• Mean: 5.05• Median: 0.00• Mode: 0.00• Minimum: 0.00• Maximum: 996.00• Standard Deviation: 30.08
PRINCIPAL SOURCE OF REFERRALPSOURCE
59-60 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Describes the person or agency referring the client to theQuestion:
alcohol or drug abuse treatment program:
- INDIVIDUAL (INCLUDES SELF-REFERRAL): Includes the client,a family member, friend, or any other individual who wouldnot be included in any of the following categories. Includesself-referral due to pending DWU/DUI.
- ALCOHOL/DRUG ABUSE CARE PROVIDER: Any program, clinic,or other HEALTH CARE PROVIDER whose principal objectiveis treating clients with substance abuse problems, or aprogram whose activities are related to alcohol or other
- 2651 -
- 40 -
drug abuse prevention, education, or treatment.
- OTHER HEALTH CARE PROVIDER: A physician, psychiatrist,or other licensed health care professional; or generalhospital, psychiatric hospital, mental health program,or nursing home.
- SCHOOL (EDUCATIONAL): A school principal, counselor, orteacher; or a student assistance program (SAP), the schoolsystem, or an educational agency.
- EMPLOYER/EAP: A supervisor or an employee counselor.
- OTHER COMMUNITY REFERRAL: Community or religiousorganization or any Federal, State, or local agency thatprovides aid in the areas of poverty relief, unemployment,shelter, or social welfare. Self-help groups such asAlcoholics Anonymous (AA), Al-Anon, and Narcotics Anonymous(NA) are also included in this category. Defense attorneysare also included in this category.
- COURT / CRIMINAL JUSTICE REFERRAL / DUI/DWI: Any policeofficial, judge, prosecutor, probation officer, or otherperson affiliated with a Federal, State, or countyjudicial system. Includes referral by a court forDWI/DUI, clients referred in lieu of or for deferredprosecution, or during pretrial release, or before orafter official adjudication. Includes clients onpre-parole, pre-release, work or home furlough, or TASC.Client need not be officially designated as "on parole."Includes clients referred through civil commitment. Clientreferrals in this category are further defined in theSupplemental Data Set item "Detailed Criminal JusticeReferral (DETCRIM).
Valid %%UnweightedFrequency
LabelValue
34.1%33.2 %543650INDIVIDUAL (INCLUDES SELF-REFERRAL)1
13.4%13.0 %213127ALCOHOL/DRUG ABUSE CARE PROVIDER2
7.4%7.2 %117196OTHER HEALTH CARE PROVIDER3
1.4%1.4 %22523SCHOOL (EDUCATIONAL)4
1.4%1.4 %22822EMPLOYER/EAP5
8.5%8.3 %135251OTHER COMMUNITY REFERRAL6
33.8%32.9 %538170COURT/CRIMINAL JUSTICE REFERRAL / DUI/ DWI
7
-2.7 %44354MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1592739 valid cases out of 1637093 total cases.
DETAILED CRIMINAL JUSTICE REFERRALDETCRIM
61-62 (width: 2; decimal: 0)Location:
numericVariable Type:
- 2651 -
- 41 -
-9Range of Missing Values (M):
This field gives more detailed information about thoseQuestion:
clients who are coded as "Criminal Justice Referral" inthe Minimum Data Set field for "Principal Source ofReferral" (PSOURCE).
- STATE/FEDERAL COURT, OTHER COURT
- PROBATION/PAROLE
- DIVERSIONARY PROGRAM (e.g. TASC)
- PRISON
- DUI/DWI
- OTHER RECOGNIZED LEGAL ENTITY, OTHER: Other recognizedlegal entities includes local law enforcement agency,corrections agency, youth services, review board/agency)
Guidelines: This field is to be used only Principal Source ofReferral in the Minimum Data Set field is coded 07, "CriminalJustice Referral." For all other Principal Source of Referralcodes (01 to 06 and missing), this field should be coded asMissing.
Valid %%UnweightedFrequency
LabelValue
20.5%4.0 %65022STATE/FEDERAL COURT, OTHER COURT1
37.2%7.2 %118232PROBATION/PAROLE3
3.4%0.7 %10768DIVERSIONARY PROGRAM5
4.4%0.9 %14125PRISON6
19.0%3.7 %60371DUI/DWI7
15.5%3.0 %49208OTHER RECOGNIZED LEGAL ENTITY, OTHER8
-80.6 %1319367MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 317726 valid cases out of 1637093 total cases.
NUMBER OF PRIOR TREATMENT EPISODESNOPRIOR
63-64 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Indicates the number of previous treatment episodes theQuestion:
client has received in any drug or alcohol program. Changesin service for the same episode (transfers) should not becounted as separate prior episodes.
Guidelines: It is preferred that the number of priortreatments be a self-reported field collected at thetime of client intake. However, this data item may be
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- 42 -
derived from the State data system, if the system hasthat capability, and episodes can be counted for atleast several years.
Valid %%UnweightedFrequency
LabelValue
42.7%37.3 %609983NO PRIOR TREATMENT EPISODES0
22.6%19.7 %3222961 PRIOR TREATMENT EPISODES1
12.0%10.5 %1721442 PRIOR TREATMENT EPISODES2
6.9%6.0 %982333 PRIOR TREATMENT EPISODES3
4.0%3.5 %566684 PRIOR TREATMENT EPISODES4
11.9%10.3 %1693385 OR MORE PRIOR TREATMENT EPISODES5
-12.7 %208431MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1428662 valid cases out of 1637093 total cases.
SUBSTANCE PROBLEM CODE (PRIMARY)SUB1
65-66 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies the client's primary substance problem.Question:
(1) NONE
(2) ALCOHOL
(3) COCAINE/CRACK
(4) MARIJUANA/HASHISH: Includes THC and any othercannabis sativa preparations.
(5) HEROIN
(6) NON-PRESCRIPTION METHADONE
(7) OTHER OPIATES AND SYNTHETICS: Includes buprenorphine,codeine, Hydrocodone, hydromorphone, meperidine, morphine,opium, oxycodone, pentazocine, propoxyphene, tramadol, andany other drug with morphine-like effects.
(8) PCP: Phencyclidine
(9) OTHER HALLUCINOGENS: Includes LSD, DMT, STP,hallucinogens, mescaline, peyote, psilocybin, etc.
(10) METHAMPHETAMINE
(11) OTHER AMPHETAMINES: Includes amphetamines, MDMA,phenmetrazine, and other unspecified amines andrelated drugs.
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- 43 -
(12) OTHER STIMULANTS: Includes methylphenidate and any otherstimulants.
(13) BENZODIAZEPINES: Includes alprazolam, chlordiazepoxide,clonazepam, clorazepate, diazepam, flunitrazepam,flurazepam, halazepam, lorazepam, oxazepam, prazepam,temazepam, triazolam, and other unspecified benzodiazepines.
(14) OTHER NON-BENZODIAZEPINE TRANQUILIZERS: Includesmeprobamate, tranquilizers, etc.
(15) BARBITURATES: Includes amobarbital, pentobarbital,phenobarbital, secobarbital, etc.
(16) OTHER NON-BARBITURATE SEDATIVES OR HYPNOTICS: Includeschloral hydrate, ethchlorvynol, glutethimide, methaqualone,sedatives/hypnotics, etc.
(17) INHALANTS: Includes chloroform, ether, gasoline, glue,nitrous oxide, paint thinner, etc.
(18) OVER-THE-COUNTER MEDICATIONS: Includes aspirin, coughsyrup, diphenhydramine and other anti-histamines, sleepaids, and any other legally obtained non-prescriptionmedication.
(20) OTHER: Includes diphenylhydantoin/phenytoin, GHB/GBL,ketamine, etc.
Valid %%UnweightedFrequency
LabelValue
1.4%1.4 %22620NONE1
51.2%50.8 %831123ALCOHOL2
16.2%16.1 %263196COCAINE/CRACK3
11.8%11.7 %192191MARIJUANA/HASHISH4
13.8%13.7 %224092HEROIN5
0.1%0.1 %1295NON-PRESCRIPTION METHADONE6
0.9%0.9 %15248OTHER OPIATES AND SYNTHETICS7
0.2%0.2 %2502PCP8
0.2%0.2 %2825OTHER HALLUCINOGENS9
2.5%2.5 %40979METHAMPHETAMINE10
0.7%0.7 %10904OTHER AMPHETAMINES11
0.1%0.1 %975OTHER STIMULANTS12
0.2%0.2 %3520BENZODIAZEPINES13
0.1%0.1 %1008OTHER NON-BENZODIAZEPINETRANQUILIZERS
14
0.1%0.1 %1430BARBITURATES15
0.1%0.1 %1863OTHER NON-BARBITURATE SEDATIVES ORHYPNOTICS
16
0.1%0.1 %1926INHALANTS17
- 2651 -
- 44 -
Valid %%UnweightedFrequency
LabelValue
0.0%0.0 %541OVER-THE-COUNTER MEDICATIONS18
0.2%0.2 %3680OTHER20
-0.9 %15175MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1621918 valid cases out of 1637093 total cases.
USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1
67-68 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies the usual route of administration of the primary substance.Question:
Valid %%UnweightedFrequency
LabelValue
54.6%51.3 %839230ORAL1
26.0%24.5 %400636SMOKING2
7.8%7.3 %119356INHALATION3
11.4%10.7 %174666INJECTION (IV OR INTRAMUSCULAR)4
0.3%0.3 %4239OTHER20
-6.0 %98966MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1538127 valid cases out of 1637093 total cases.
FREQUENCY OF USE (PRIMARY)FREQ1
69-70 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies the frequency of use of the primary substance.Question:
Valid %%UnweightedFrequency
LabelValue
23.9%22.1 %362326NO USE IN THE PAST MONTH1
11.3%10.5 %1713901-3 TIMES IN THE PAST MONTH2
9.7%9.0 %1472211-2 TIMES IN THE PAST WEEK3
12.3%11.4 %1860993-6 TIMES IN THE PAST WEEK4
42.8%39.7 %649478DAILY5
-7.4 %120579MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1516514 valid cases out of 1637093 total cases.
AGE AT FIRST USE (PRIMARY)FRSTUSE1
71-72 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
For drugs other than alcohol, this field identifies the age at which the client first used the substanceidentified as the primary substance. For alcohol, this field records the age of the first intoxication.
Question:
- 2651 -
- 45 -
Valid %%UnweightedFrequency
LabelValue
8.7%8.3 %13587011 AND UNDER1
22.5%21.4 %34980012-142
28.4%27.0 %44219715-173
16.5%15.6 %25597218-204
9.1%8.6 %14088721-245
7.1%6.8 %11116525-296
4.0%3.8 %6283630-347
2.1%2.0 %3314535-398
0.9%0.9 %1427740-449
0.4%0.3 %556445-4910
0.1%0.1 %213950-5411
0.1%0.1 %160455 AND OVER12
-5.0 %81637MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1555456 valid cases out of 1637093 total cases.
SUBSTANCE PROBLEM CODE (SECONDARY)SUB2
73-74 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies the client's secondary substance problem.Question:
(1) NONE
(2) ALCOHOL
(3) COCAINE/CRACK
(4) MARIJUANA/HASHISH: Includes THC and any othercannabis sativa preparations.
(5) HEROIN
(6) NON-PRESCRIPTION METHADONE
(7) OTHER OPIATES AND SYNTHETICS: Includes buprenorphine,codeine, Hydrocodone, hydromorphone, meperidine, morphine,opium, oxycodone, pentazocine, propoxyphene, tramadol, andany other drug with morphine-like effects.
(8) PCP: Phencyclidine
(9) OTHER HALLUCINOGENS: Includes LSD, DMT, STP,hallucinogens, mescaline, peyote, psilocybin, etc.
(10) METHAMPHETAMINE
- 2651 -
- 46 -
(11) OTHER AMPHETAMINES: Includes amphetamines, MDMA,phenmetrazine, and other unspecified amines andrelated drugs.
(12) OTHER STIMULANTS: Includes methylphenidate and any otherstimulants.
(13) BENZODIAZEPINES: Includes alprazolam, chlordiazepoxide,clonazepam, clorazepate, diazepam, flunitrazepam,flurazepam, halazepam, lorazepam, oxazepam, prazepam,temazepam, triazolam, and other unspecified benzodiazepines.
(14) OTHER NON-BENZODIAZEPINE TRANQUILIZERS: Includesmeprobamate, tranquilizers, etc.
(15) BARBITURATES: Includes amobarbital, pentobarbital,phenobarbital, secobarbital, etc.
(16) OTHER NON-BARBITURATE SEDATIVES OR HYPNOTICS: Includeschloral hydrate, ethchlorvynol, glutethimide, methaqualone,sedatives/hypnotics, etc.
(17) INHALANTS: Includes chloroform, ether, gasoline, glue,nitrous oxide, paint thinner, etc.
(18) OVER-THE-COUNTER MEDICATIONS: Includes aspirin, coughsyrup, diphenhydramine and other anti-histamines, sleepaids, and any other legally obtained non-prescriptionmedication.
(20) OTHER: Includes diphenylhydantoin/phenytoin, GHB/GBL,ketamine, etc.
Valid %%UnweightedFrequency
LabelValue
37.8%33.1 %542327NONE1
19.4%17.0 %278050ALCOHOL2
17.0%14.9 %243264COCAINE/CRACK3
17.7%15.5 %253701MARIJUANA/HASHISH4
2.1%1.8 %30103HEROIN5
0.2%0.2 %2609NON-PRESCRIPTION METHADONE6
0.8%0.7 %11254OTHER OPIATES AND SYNTHETICS7
0.2%0.2 %2657PCP8
0.5%0.4 %7340OTHER HALLUCINOGENS9
1.8%1.5 %25113METHAMPHETAMINE10
0.6%0.6 %9246OTHER AMPHETAMINES11
0.2%0.1 %2175OTHER STIMULANTS12
0.6%0.5 %8589BENZODIAZEPINES13
0.2%0.2 %2622OTHER NON-BENZODIAZEPINETRANQUILIZERS
14
0.2%0.1 %2396BARBITURATES15
- 2651 -
- 47 -
Valid %%UnweightedFrequency
LabelValue
0.2%0.2 %3189OTHER NON-BARBITURATE SEDATIVES ORHYPNOTICS
16
0.1%0.1 %1581INHALANTS17
0.1%0.1 %1032OVER-THE-COUNTER MEDICATIONS18
0.4%0.4 %5818OTHER20
-12.5 %204027MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1433066 valid cases out of 1637093 total cases.
USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2
75-76 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies the usual route of administration of the secondary substance.Question:
Valid %%UnweightedFrequency
LabelValue
37.1%19.3 %316268ORAL1
44.5%23.2 %379625SMOKING2
9.6%5.0 %81469INHALATION3
8.5%4.4 %72266INJECTION (IV OR INTRAMUSCULAR)4
0.3%0.2 %2821OTHER20
-47.9 %784644MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 852449 valid cases out of 1637093 total cases.
FREQUENCY OF USE (SECONDARY)FREQ2
77-78 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies the frequency of use of the secondary substance.Question:
Valid %%UnweightedFrequency
LabelValue
34.1%18.2 %298010NO USE IN THE PAST MONTH1
14.6%7.8 %1275911-3 TIMES IN THE PAST MONTH2
12.1%6.4 %1053361-2 TIMES IN THE PAST WEEK3
11.5%6.2 %1008133-6 TIMES IN THE PAST WEEK4
27.7%14.8 %242204DAILY5
-46.6 %763139MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 873954 valid cases out of 1637093 total cases.
AGE AT FIRST USE (SECONDARY)FRSTUSE2
79-80 (width: 2; decimal: 0)Location:
numericVariable Type:
- 2651 -
- 48 -
-9Range of Missing Values (M):
For drugs other than alcohol, this field identifies the age at which the client first used the substanceidentified as the secondary substance. For alcohol, this field records the age of the first intoxication.
Question:
Valid %%UnweightedFrequency
LabelValue
13.9%7.8 %12828311 AND UNDER1
22.3%12.6 %20593812-142
26.5%14.9 %24399015-173
14.6%8.2 %13449018-204
7.9%4.4 %7261221-245
6.7%3.8 %6224425-296
4.1%2.3 %3748530-347
2.3%1.3 %2125335-398
1.1%0.6 %994240-449
0.4%0.2 %379345-4910
0.2%0.1 %138550-5411
0.1%0.0 %72255 AND OVER12
-43.7 %714956MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 922137 valid cases out of 1637093 total cases.
SUBSTANCE PROBLEM CODE (TERTIARY)SUB3
81-82 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies the client's tertiary substance problem.Question:
(1) NONE
(2) ALCOHOL
(3) COCAINE/CRACK
(4) MARIJUANA/HASHISH: Includes THC and any othercannabis sativa preparations.
(5) HEROIN
(6) NON-PRESCRIPTION METHADONE
(7) OTHER OPIATES AND SYNTHETICS: Includes buprenorphine,codeine, Hydrocodone, hydromorphone, meperidine, morphine,opium, oxycodone, pentazocine, propoxyphene, tramadol, andany other drug with morphine-like effects.
(8) PCP: Phencyclidine
(9) OTHER HALLUCINOGENS: Includes LSD, DMT, STP,hallucinogens, mescaline, peyote, psilocybin, etc.
- 2651 -
- 49 -
(10) METHAMPHETAMINE
(11) OTHER AMPHETAMINES: Includes amphetamines, MDMA,phenmetrazine, and other unspecified amines andrelated drugs.
(12) OTHER STIMULANTS: Includes methylphenidate and any otherstimulants.
(13) BENZODIAZEPINES: Includes alprazolam, chlordiazepoxide,clonazepam, clorazepate, diazepam, flunitrazepam,flurazepam, halazepam, lorazepam, oxazepam, prazepam,temazepam, triazolam, and other unspecified benzodiazepines.
(14) OTHER NON-BENZODIAZEPINE TRANQUILIZERS: Includesmeprobamate, tranquilizers, etc.
(15) BARBITURATES: Includes amobarbital, pentobarbital,phenobarbital, secobarbital, etc.
(16) OTHER NON-BARBITURATE SEDATIVES OR HYPNOTICS: Includeschloral hydrate, ethchlorvynol, glutethimide, methaqualone,sedatives/hypnotics, etc.
(17) INHALANTS: Includes chloroform, ether, gasoline, glue,nitrous oxide, paint thinner, etc.
(18) OVER-THE-COUNTER MEDICATIONS: Includes aspirin, coughsyrup, diphenhydramine and other anti-histamines, sleepaids, and any other legally obtained non-prescriptionmedication.
(20) OTHER: Includes diphenylhydantoin/phenytoin, GHB/GBL,ketamine, etc.
Valid %%UnweightedFrequency
LabelValue
70.8%54.1 %886396NONE1
7.1%5.4 %89074ALCOHOL2
5.9%4.5 %73230COCAINE/CRACK3
8.9%6.8 %111004MARIJUANA/HASHISH4
1.2%0.9 %15075HEROIN5
0.1%0.1 %1661NON-PRESCRIPTION METHADONE6
0.5%0.4 %6414OTHER OPIATES AND SYNTHETICS7
0.2%0.2 %2934PCP8
1.2%0.9 %14551OTHER HALLUCINOGENS9
1.3%1.0 %16485METHAMPHETAMINE10
0.6%0.5 %7958OTHER AMPHETAMINES11
0.2%0.1 %2082OTHER STIMULANTS12
0.6%0.4 %7167BENZODIAZEPINES13
- 2651 -
- 50 -
Valid %%UnweightedFrequency
LabelValue
0.2%0.2 %2534OTHER NON-BENZODIAZEPINETRANQUILIZERS
14
0.2%0.1 %2314BARBITURATES15
0.2%0.2 %2561OTHER NON-BARBITURATE SEDATIVES ORHYPNOTICS
16
0.2%0.2 %2487INHALANTS17
0.1%0.1 %1152OVER-THE-COUNTER MEDICATIONS18
0.5%0.4 %6053OTHER20
-23.6 %385961MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1251132 valid cases out of 1637093 total cases.
USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3
83-84 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
This field identifies the usual route of administration of the tertiary substance.Question:
Valid %%UnweightedFrequency
LabelValue
37.8%7.1 %115808ORAL1
41.3%7.7 %126461SMOKING2
13.4%2.5 %40994INHALATION3
6.8%1.3 %20781INJECTION (IV OR INTRAMUSCULAR)4
0.8%0.2 %2475OTHER20
-81.3 %1330574MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 306519 valid cases out of 1637093 total cases.
FREQUENCY OF USE (TERTIARY)FREQ3
85-86 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies the frequency of use of the tertiary substance.Question:
Valid %%UnweightedFrequency
LabelValue
50.8%11.2 %182590NO USE IN THE PAST MONTH1
13.7%3.0 %492991-3 TIMES IN THE PAST MONTH2
9.8%2.2 %352291-2 TIMES IN THE PAST WEEK3
8.0%1.8 %286763-6 TIMES IN THE PAST WEEK4
17.7%3.9 %63525DAILY5
-78.1 %1277774MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 359319 valid cases out of 1637093 total cases.
- 2651 -
- 51 -
AGE AT FIRST USE (TERTIARY)FRSTUSE3
87-88 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
For drugs other than alcohol, this field identifies the age at which the client first used the substanceidentified as the tertiary substance. For alcohol, this field records the age of the first intoxication.
Question:
Valid %%UnweightedFrequency
LabelValue
30.0%7.7 %12639211 AND UNDER1
19.6%5.0 %8245812-142
22.8%5.9 %9614415-173
11.8%3.0 %4970218-204
5.9%1.5 %2472221-245
4.7%1.2 %1992925-296
2.8%0.7 %1181230-347
1.5%0.4 %614235-398
0.6%0.2 %267440-449
0.2%0.1 %94145-4910
0.1%0.0 %30550-5411
0.0%0.0 %14655 AND OVER12
-74.3 %1215726MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 421367 valid cases out of 1637093 total cases.
NUMBER OF SUBSTANCES REPORTED AT ADM.NUMSUBS
89-90 (width: 2; decimal: 0)Location:
numericVariable Type:
Calculates the number of substances (maximum of 3) reported at admission from primary, secondary,and tertiary substances of abuse (SUB1, SUB2 and SUB3).
Question:
Valid %%UnweightedFrequency
Value
2.2%2.2 %367660
43.2%43.2 %7075111
32.4%32.4 %5311862
22.1%22.1 %3616303
Based upon 1637093 valid cases out of 1637093 total cases.
CURRENT IV DRUG USE REPORTED AT ADM.IDU
91-92 (width: 2; decimal: 0)Location:
numericVariable Type:
-9 , -8Range of Missing Values (M):
Flags record if injection was reported as primary, secondary, or tertiary route of administration.Question:
- 2651 -
- 52 -
Valid %%UnweightedFrequency
LabelValue
86.7%84.8 %1388113NO IDU REPORTED0
13.3%13.0 %212371IDU REPORTED1
-2.2 %36609NO SUBSTANCES REPORTED-8 (M)
Based upon 1600484 valid cases out of 1637093 total cases.
ALCOHOL REPORTED AT ADM.ALCFLG
93-93 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if alcohol was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
26.9%26.9 %440210SUBSTANCE NOT REPORTED0
73.1%73.1 %1196883SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
COCAINE/CRACK REPORTED AT ADM.COKEFLG
94-94 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if cocaine or crack was reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
65.1%65.1 %1065922SUBSTANCE NOT REPORTED0
34.9%34.9 %571171SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
MARIJUANA/HASHISH REPORTED AT ADM.MARFLG
95-95 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if marijuana or hashish were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
66.0%66.0 %1080726SUBSTANCE NOT REPORTED0
34.0%34.0 %556367SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
HEROIN REPORTED AT ADM.HERFLG
96-96 (width: 1; decimal: 0)Location:
numericVariable Type:
- 2651 -
- 53 -
Flags record if heroin was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
83.6%83.6 %1368016SUBSTANCE NOT REPORTED0
16.4%16.4 %269077SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
NON-RX METHADONE REPORTED AT ADM.METHFLG
97-97 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if non-prescription methadone was reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.7%99.7 %1631534SUBSTANCE NOT REPORTED0
0.3%0.3 %5559SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER OPIATES/SYNTHETICS REPORTED AT ADM.OPSYNFLG
98-98 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if other opiates or synthetics were reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
98.0%98.0 %1604375SUBSTANCE NOT REPORTED0
2.0%2.0 %32718SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
PCP REPORTED AT ADM.PCPFLG
99-99 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if PCP was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.5%99.5 %1629008SUBSTANCE NOT REPORTED0
0.5%0.5 %8085SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER HALLUCINOGENS REPORTED AT ADM.HALLFLG
100-100 (width: 1; decimal: 0)Location:
numericVariable Type:
- 2651 -
- 54 -
Flags record if other hallucinogens were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
98.5%98.5 %1612425SUBSTANCE NOT REPORTED0
1.5%1.5 %24668SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
METHAMPHETAMINE REPORTED AT ADM.MTHAMFLG
101-101 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if methamphetamines were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
95.0%95.0 %1554549SUBSTANCE NOT REPORTED0
5.0%5.0 %82544SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER AMPHETAMINES REPORTED AT ADM.AMPHFLG
102-102 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if other amphetamines were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
98.3%98.3 %1609042SUBSTANCE NOT REPORTED0
1.7%1.7 %28051SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER STIMULANTS REPORTED AT ADM.STIMFLG
103-103 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if other stimulants were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.7%99.7 %1631875SUBSTANCE NOT REPORTED0
0.3%0.3 %5218SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
BENZODIAZEPINES REPORTED AT ADM.BENZFLG
104-104 (width: 1; decimal: 0)Location:
numericVariable Type:
- 2651 -
- 55 -
Flags record if benzodiazepines were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
98.8%98.8 %1617891SUBSTANCE NOT REPORTED0
1.2%1.2 %19202SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTED AT ADM.TRNQFLG
105-105 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if other non-benzodiazepine tranquilizers were reported as the primary, secondary, ortertiary substance of abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.6%99.6 %1630936SUBSTANCE NOT REPORTED0
0.4%0.4 %6157SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
BARBITURATES REPORTED AT ADM.BARBFLG
106-106 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if barbiturates were reported as the primary, secondary, or tertiary substance of abuseat the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.6%99.6 %1630958SUBSTANCE NOT REPORTED0
0.4%0.4 %6135SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER NON-BARBITURATE SEDATIVES/HYPNOTICS REPORTED AT ADM.SEDHPFLG
107-107 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if other non-barbiturate sedatives or hypnotics were reported as the primary, secondary,or tertiary substance of abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.5%99.5 %1629488SUBSTANCE NOT REPORTED0
0.5%0.5 %7605SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
INHALANTS REPORTED AT ADM.INHFLG
108-108 (width: 1; decimal: 0)Location:
numericVariable Type:
- 2651 -
- 56 -
Flags record if inhalants were reported as the primary, secondary, or tertiary substance of abuse atthe time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.6%99.6 %1631104SUBSTANCE NOT REPORTED0
0.4%0.4 %5989SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OVER-THE-COUNTER MEDICATION REPORTED AT ADM.OTCFLG
109-109 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if over-the-counter medications were reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.8%99.8 %1634369SUBSTANCE NOT REPORTED0
0.2%0.2 %2724SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
OTHER DRUG REPORTED AT ADM.OTHERFLG
110-110 (width: 1; decimal: 0)Location:
numericVariable Type:
Flags record if other substances were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.
Question:
Valid %%UnweightedFrequency
LabelValue
99.1%99.1 %1621675SUBSTANCE NOT REPORTED0
0.9%0.9 %15418SUBSTANCE REPORTED1
Based upon 1637093 valid cases out of 1637093 total cases.
SUBSTANCE ABUSE TYPEALCDRUG
111-112 (width: 2; decimal: 0)Location:
numericVariable Type:
Classifies client's substance abuse type as alcohol only, other drugs only, alcohol and other drugs,or none. This variable looks across primary, secondary, and tertiary substances of abuse reportedat the time of admission to treatment.
Question:
Valid %%UnweightedFrequency
LabelValue
2.2%2.2 %36766NONE0
28.9%28.9 %472628ALCOHOL ONLY1
24.6%24.6 %403444OTHER DRUGS ONLY2
44.2%44.2 %724255ALCOHOL AND OTHER DRUGS3
Based upon 1637093 valid cases out of 1637093 total cases.
- 2651 -
- 57 -
DSM DIAGNOSISDSMCRIT
113-114 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
The diagnosis of the substance abuse problem from the AmericanQuestion:
Psychiatric Association's Diagnostic and Statistical Manual ofMental Disorders. DSM IV is preferred, but use of the thirdEdition, or ICD codes is permissible. If the DSM IV is notused, the state must specify the coding system in the statecrosswalk.
The discrete diagnosis codes have been recoded intocategories related to abuse of and dependence on specificsubstances, mental health conditions, and other conditions.
Valid %%UnweightedFrequency
LabelValue
1.8%0.4 %7180NO DIAGNOSIS0
0.3%0.1 %1290ALCOHOL-INDUCED DISORDER1
0.3%0.1 %1277SUBSTANCE-INDUCED DISORDER2
9.3%2.3 %36893ALCOHOL INTOXICATION3
30.6%7.4 %121503ALCOHOL DEPENDENCE4
13.1%3.2 %51796OPIOID DEPENDENCE5
14.1%3.4 %56021COCAINE DEPENDENCE6
5.8%1.4 %22929CANNABIS DEPENDENCE7
4.6%1.1 %18245OTHER SUBSTANCE DEPENDENCE8
10.6%2.6 %42032ALCOHOL ABUSE9
4.1%1.0 %16401CANNABIS ABUSE10
0.7%0.2 %2714OTHER SUBSTANCE ABUSE11
0.2%0.1 %952OPIOID ABUSE12
1.9%0.5 %7421COCAINE ABUSE13
0.1%0.0 %565ANXIETY DISORDERS14
0.5%0.1 %1974DEPRESSIVE DISORDERS15
0.3%0.1 %1085SCHIZOPHRENIA / OTHER PSYCHOTICDISORDERS
16
0.2%0.0 %655BIPOLAR DISORDERS17
0.1%0.0 %443ATTENTION DEFICIT / DISRUPTIVE BEHAVIORDISORDERS
18
0.5%0.1 %2022OTHER MENTAL HEALTH CONDITION19
0.8%0.2 %3243OTHER CONDITION20
-75.8 %1240452MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 396641 valid cases out of 1637093 total cases.
PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEMPSYPROB
- 2651 -
- 58 -
115-116 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Indicates whether the client has a psychiatric problem in addition to his or her alcohol or drug useproblem.
Question:
Valid %%UnweightedFrequency
LabelValue
15.3%10.0 %164391YES1
84.7%55.6 %909733NO2
-34.4 %562969MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 1074124 valid cases out of 1637093 total cases.
HEALTH INSURANCEHLTHINS
117-118 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Specifies the client's health insurance (if any). The insurance may or may not cover alcohol or drugtreatment.
Question:
Valid %%UnweightedFrequency
LabelValue
15.2%7.3 %119887PRIVATE INSURANCE, BC/BS, HMO1
13.1%6.3 %103221MEDICAID2
9.1%4.4 %71492MEDICARE, OTHER (E.G. TRICARE, CHAMPUS)3
62.7%30.2 %494655NONE4
-51.8 %847838MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 789255 valid cases out of 1637093 total cases.
EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY
119-120 (width: 2; decimal: 0)Location:
numericVariable Type:
-9Range of Missing Values (M):
Identifies the primary source of payment for this treatmentQuestion:
episode.
Guidelines: States operating under a split payment feearrangement between multiple payment sources are to defaultto the payment source with the largest percentage. Whenpayment percentages are equal, the State can select eithersource.
Valid %%UnweightedFrequency
LabelValue
30.0%9.9 %162124SELF-PAY1
9.4%3.1 %50617BLUE CROSS/BLUE SHIELD, OTHER HEALTHINSURANCE COMPANIES
2
- 2651 -
- 59 -
Valid %%UnweightedFrequency
LabelValue
1.3%0.4 %7025MEDICARE, WORKER'S COMPENSATION3
13.3%4.4 %71854MEDICAID4
25.7%8.5 %138757OTHER GOVERNMENT PAYMENTS5
12.2%4.0 %66139NO CHARGE (FREE, CHARITY, SPECIALRESEARCH, TEACHING)
8
8.1%2.7 %43515OTHER9
-67.0 %1097062MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)
Based upon 540031 valid cases out of 1637093 total cases.
- 2651 -
- 60 -
APPENDIX
- 2651 -
- 61 -
- 2651 -
- 62 -
APPENDIX A
TEDS-A Variable Information (Alphabetical Order)
Variable Source3 Type Len Start End Label
AGE MDS Num 2 13 14 AGE (RECODED)
ALCDRUG Added Num 2 111 112 SUBSTANCE ABUSE TYPE
ALCFLG Added Num 1 93 93 ALCOHOL REPORTED AT ADM.
AMPHFLG Added Num 1 102 102 OTHER AMPHETAMINES REPORTED AT ADM.
BARBFLG Added Num 1 106 106 BARBITURATES REPORTED AT ADM.
BENZFLG Added Num 1 104 104 BENZODIAZEPINES REPORTED AT ADM.
CASEID Added Num 8 1 8 CASE IDENTIFICATION NUMBER
CBSA Added Num 5 39 43 FIPS 2000 CBSA CODE
COKEFLG Added Num 1 94 94 COCAINE/CRACK REPORTED AT ADM.
DAYWAIT SuDS Num 3 56 58 DAYS WAITING TO ENTER TREATMENT
DETCRIM SuDS Num 2 61 62 DETAILED CRIMINAL JUSTICE REFERRAL
DETNLF SuDS Num 2 27 28 DETAILED 'NOT IN LABOR FORCE' CATEGORY
DIVISION Added Num 2 50 51 CENSUS DIVISION
DSMCRIT SuDS Num 2 113 114 DSM DIAGNOSIS
EDUC MDS Num 2 23 24 EDUCATION
EMPLOY MDS Num 2 25 26 EMPLOYMENT STATUS
ETHNIC MDS Num 2 19 20 ETHNICITY (HISPANIC ORIGIN)
FREQ1 MDS Num 2 69 70 FREQUENCY OF USE (PRIMARY)
3 MDS = Minimum Data Set
SuDS = Supplemental Data Set
Added = Variable Added to TEDS
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Variable Source3 Type Len Start End Label
FREQ2 MDS Num 2 77 78 FREQUENCY OF USE (SECONDARY)
FREQ3 MDS Num 2 85 86 FREQUENCY OF USE (TERTIARY)
FRSTUSE1 MDS Num 2 71 72 AGE AT FIRST USE (PRIMARY)
FRSTUSE2 MDS Num 2 79 80 AGE AT FIRST USE (SECONDARY)
FRSTUSE3 MDS Num 2 87 88 AGE AT FIRST USE (TERTIARY)
GENDER MDS Num 2 15 16 SEX
HALLFLG Added Num 1 100 100 OTHER HALLUCINOGENS REPORTED AT ADM.
HERFLG Added Num 1 96 96 HEROIN REPORTED AT ADM.
HLTHINS SuDS Num 2 117 118 HEALTH INSURANCE
IDU Added Num 2 91 92 CURRENT IV DRUG USE REPORTED AT ADM.
INHFLG Added Num 1 108 108 INHALANTS REPORTED AT ADM.
LIVARAG SuDS Num 2 33 34 LIVING ARRANGEMENT
MARFLG Added Num 1 95 95 MARIJUANA/HASHISH REPORTED AT ADM.
MARSTAT SuDS Num 2 21 22 MARITAL STATUS
METHFLG Added Num 1 97 97 NON-RX METHADONE REPORTED AT ADM.
METHUSE MDS Num 2 54 55 MEDICATION-ASSISTED OPIOID THERAPY
MTHAMFLG Added Num 1 101 101 METHAMPHETAMINE REPORTED AT ADM.
NOPRIOR MDS Num 2 63 64 NUMBER OF PRIOR TREATMENT EPISODES
NUMSUBS Added Num 2 89 90 NUMBER OF SUBSTANCES REPORTED AT ADM.
OPSYNFLG Added Num 1 98 98 OTHER OPIATES/SYNTHETICS REPORTED AT ADM.
OTCFLG Added Num 1 109 109 OVER-THE-COUNTER MEDICATION REPORTED AT ADM.
OTHERFLG Added Num 1 110 110 OTHER DRUG REPORTED AT ADM.
PCPFLG Added Num 1 99 99 PCP REPORTED AT ADM.
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Variable Source3 Type Len Start End Label
PMSA Added Num 4 44 47 FIPS 1990 MSA CODE
PREG SuDS Num 2 29 30 PREGNANT AT TIME OF ADMISSION
PRIMINC SuDS Num 2 35 36 SOURCE OF INCOME/SUPPORT
PRIMPAY SuDS Num 2 119 120 EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENT
PSOURCE MDS Num 2 59 60 PRINCIPAL SOURCE OF REFERRAL
PSYPROB SuDS Num 2 115 116 PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEM
RACE MDS Num 2 17 18 RACE
REGION Added Num 2 48 49 CENSUS REGION
ROUTE1 MDS Num 2 67 68 USUAL ROUTE OF ADMINISTRATION (PRIMARY)
ROUTE2 MDS Num 2 75 76 USUAL ROUTE OF ADMINISTRATION (SECONDARY)
ROUTE3 MDS Num 2 83 84 USUAL ROUTE OF ADMINISTRATION (TERTIARY)
SEDHPFLG Added Num 1 107 107 OTHER NON-BARBITURATE SEDATIVES/HYPNOTICS REPORTED AT ADM.
SERVSETA MDS Num 2 52 53 SERVICE SETTING AT ADMISSION
STFIPS Added Num 2 37 38 CENSUS STATE FIPS CODE
STIMFLG Added Num 1 103 103 OTHER STIMULANTS REPORTED AT ADM.
SUB1 MDS Num 2 65 66 SUBSTANCE PROBLEM CODE (PRIMARY)
SUB2 MDS Num 2 73 74 SUBSTANCE PROBLEM CODE (SECONDARY)
SUB3 MDS Num 2 81 82 SUBSTANCE PROBLEM CODE (TERTIARY)
TRNQFLG Added Num 1 105 105 OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTED AT ADM.
VET SuDS Num 2 31 32 VETERAN STATUS
YEAR Added Num 4 9 12 YEAR OF ADMISSION
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APPENDIX B
Variable Recode Table
Variable Original Codes (original percentage) Recodes
AGE
Age (Recoded)
Continuous (12-99)
12-14
15-17
18-20
21-24
25-29
30-34
35-39
40-44
45-49
50-54
55 and Over
MARSTAT
Marital Status
1 Never Married (52.7%)
2 Now Married (18.9%)
3 Separated (8.6%)
4 Divorced (18.1%)
5 Widowed (1.6%)
1 Never Married
2 Now Married
3 Separated
4 Divorced, Widowed
EDUC
Education
Continuous 0-25
1 8 Years or Less
2 9-11
3 12
4 13-15
5 16 or More
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Variable Original Codes (original percentage) Recodes
DETNLF
Detailed ‘Not in Labor’ Force
1 Homemaker (7.1%)
2 Student (27.4%)
3 Retired (3.0%)
4 Disabled (25.0%)
5 Inmate of Institution (7.0%)
6 Other (30.4%)
1 Homemaker
2 Student
3 Retired, Disabled
5 Inmate of Institution
6 Other
PRIMINC
Source of Income / Support
1 Wages/Salary (38.2%)
2 Public Assistance (15.0%)
3 Retirement/Pension (<1%)
4 Disability (4.0%)
20 Other (21.1%)
21 None (20.8%)
1 Wages/Salary
2 Public Assistance
3 Retirement/Pension, Disability
20 Other
21 None
PMSA
FIPS 1990 MSA Code
CBSA
FIPS 2000 CBSA Code
Census PMSA, CBSA geographic codes Codes for undesignated area and missing data
combined into a single specification.
When either PMSA or CBSA describes a
population less than 100,000, or one of the
codes falls into the combined missing category,
records are recoded into:
“UNDESIGNATED AREA /MISSING/
UNKNOWN/NOT COLLECTED/ INVALID”
DETCRIM
Detailed Criminal Justice Referral
1 State/Federal Court (18.1%)
2 Other Court (2.3%)
3 Probation/Parole (37.2%)
4 Other Recognized Legal Entity (11.1%)
5 Diversionary Program (3.4%)
6 Prison (4.4%)
7 DUI/DWI (19.0%)
8 Other (4.4%)
1 State/Federal Court, Other Court
3 Probation/Parole
5 Diversionary Program
6 Prison
7 DUI/DWI
8 Other Recognized Legal Entity, Other
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Variable Original Codes (original percentage) Recodes
HLTHINS
Health Insurance
1 Private Insurance (Other Than BC/BS or
HMO) (7.8%)
2 Blue Cross / Blue Shield (BC/BS) (3.5%)
3 Medicare (2.0%)
4 Medicaid (13.1%)
6 Health Maintenance Organization
(HMO) (3.9%)
20 Other (e.g. TriCare, Champus) (7.1%)
21 None (62.7%)
1 Private Insurance, BC/BS, HMO
2 Medicaid
3 Medicare/Other (e.g. Tricare, Champus)
4 None
PRIMPAY
Expected/Actual Payment Source
of Payment
1 Self-Pay (30.0%)
2 Blue Cross / Blue Shield (2.7%)
3 Medicare (1.2%)
4 Medicaid (13.3%)
5 Other Government Payments (25.7%)
6 Worker’s Compensation (<1%)
7 Other Health Insurance Companies (6.7%)
8 No charge (Free, Charity, Special
Research or Teaching) (12.2%)
9 Other (8.1%)
1 Self-Pay
2 Blue Cross / Blue Shield, Other Health
Insurance Companies
3 Medicare, Worker’s Compensation
4 Medicaid
5 Other Government Payments
8 No charge (Free, Charity, Special
Research or Teaching)
9 Other
FRSTUSE1
Age at First Use (Primary)
FRSTUSE2
Age at First Use (Secondary)
FRSTUSE3
Age at First Use (Tertiary)
Continuous (0-99)
11 and Under
12-14
15-17
18-20
21-24
25-29
30-34
35-39
40-44
45-49
50-54
55 and Over
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Variable Original Codes (original percentage) Recodes DSMCRIT
DSM Diagnosis
0.00 0 No Diagnosis
291.00 – 291.99 1 Alcohol-Induced Disorder
292.00 – 292.99 2 Substance-Induced Disorder
303.00 – 303.89 3 Alcohol Intoxication
303.90 – 303.99 4 Alcohol Dependence
304.00 – 304.09 5 Opioid Dependence
304.20 – 304.29 6 Cocaine Dependence
304.30 – 304.39 7 Cannabis Dependence
304.10 – 304.19, 304.40 – 304.99,
305.10 – 305.19
8 Other Substance Abuse Dependence
305.00 – 305.09 9 Alcohol Abuse
305.20 – 305.29 10 Cannabis Abuse
305.30 – 305.49, 305.70 – 305.99 11 Other Substance Abuse
305.50 – 305.59 12 Opioid Abuse
305.60 – 305.69 13 Cocaine Abuse
293.89, 300.00 – 300.02, 300.21 – 300.23,
300.29 – 300.39, 308.30 – 308.39, 309.81
14 Anxiety Disorders
296.20 – 296.39, 300.40 – 300.49,
311.00 – 311.09
15 Depressive Disorders
293.81 – 293.82, 295.00 – 295.99,
297.10 – 297.19, 297.30 – 297.39,
298.80 – 298.89, 298.90 – 298.99
16 Schizophrenic / Other Psychotic Disorders
296.00 – 296.09, 296.40 – 296.79,
296.80, 296.89, 301.13
17 Bipolar Disorders
312.80 – 312.81, 312.90 – 312.99, 313.81,
314.00 – 314.01, 314.90 – 314.99
18 Attention Deficit / Disruptive Behavior Disorders
All other codes 19 Other Mental Health Condition
.01 – 289.99, 320 – 997.99, V-codes, E-codes 20 Other Condition
999.97 – 999.99 -9 Missing
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APPENDIX C: STATE REPORTING OF TEDS MINIMUM DATASET VARIABLES
Items collected/not-collected by State: TEDS Minimum Data Set 1996
"Y" = Collected, "--" = Not collected
Based on administrative data reported to TEDS by 47 reporting States, the District of Columbia, and Puerto Rico; Arizona, Kentucky, and Wyoming did not report any data; Revised per 05/11/04 data extract
State or jurisdiction Prior trtmt
Ref-erral Age Sex Race
Eth-nicity
Edu-cation
Employ-ment
Primary substance Secondary substance Tertiary substance
Service Meth-adone Subst Rte Freq
Age 1st use Subst Rte Freq
Age 1st use Subst Rte Freq
Age 1st use
ALL ADMISSIONS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
ALABAMA Y Y Y Y Y -- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
ALASKA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
ARIZONA -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
ARKANSAS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y --
CALIFORNIA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -- -- -- Y Y
COLORADO Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
CONNECTICUT -- Y Y Y Y Y Y Y Y -- -- Y Y -- -- Y Y -- -- Y Y Y
DELAWARE -- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
DIST OF COLUMBIA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
FLORIDA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
GEORGIA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
HAWAII Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
IDAHO Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
ILLINOIS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -- Y Y Y -- Y Y
INDIANA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
IOWA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
KANSAS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
KENTUCKY -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
LOUISIANA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MAINE Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MARYLAND Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MASSACHUSETTS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MICHIGAN Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MINNESOTA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MISSISSIPPI -- Y Y Y Y Y -- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
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Items collected/not-collected by State: TEDS Minimum Data Set 1996
"Y" = Collected, "--" = Not collected
Based on administrative data reported to TEDS by 47 reporting States, the District of Columbia, and Puerto Rico; Arizona, Kentucky, and Wyoming did not report any data; Revised per 05/11/04 data extract
State or jurisdiction Prior trtmt
Ref-erral Age Sex Race
Eth-nicity
Edu-cation
Employ-ment
Primary substance Secondary substance Tertiary substance
Service Meth-adone Subst Rte Freq
Age 1st use Subst Rte Freq
Age 1st use Subst Rte Freq
Age 1st use
MISSOURI Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
MONTANA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y --
NEBRASKA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NEVADA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NEW HAMPSHIRE Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NEW JERSEY Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NEW MEXICO Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NEW YORK Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NORTH CAROLINA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
NORTH DAKOTA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
OHIO Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
OKLAHOMA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
OREGON Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
PENNSYLVANIA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
PUERTO RICO Y Y Y Y -- -- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y --
RHODE ISLAND Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
SOUTH CAROLINA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -- -- -- Y Y
SOUTH DAKOTA Y Y Y Y Y -- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
TENNESSEE Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
TEXAS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
UTAH Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
VERMONT Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
VIRGINIA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
WASHINGTON -- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
WEST VIRGINIA Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
WISCONSIN Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y
WYOMING -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
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APPENDIX D: STATE REPORTING OF TEDS SUPPLEMENTAL DATA SET VARIABLES
Items collected/not-collected by State: TEDS Supplemental Data Set 1996
"Y" = Collected, "--" = Not collected
Based on administrative data reported to TEDS by 47 reporting States, the District of Columbia, and Puerto Rico; Arizona, Kentucky, and Wyoming did not report any data; Revised per 05/11/04 data extract
State or jurisdiction DSM
diagnosis Psychiatric
problem Pregnant Veteran
Living arrange-
ment Income source
Health insurance
Payment source
Detailed not-in-labor-
force
Detailed criminal justice referral
Marital status
Days waiting for treatment
ALL ADMISSIONS Y Y Y Y Y Y Y Y Y Y Y Y
ALABAMA Y Y Y Y Y Y Y Y Y Y Y --
ALASKA Y Y Y Y Y Y Y Y Y -- Y Y
ARIZONA -- -- -- -- -- -- -- -- -- -- -- --
ARKANSAS -- -- Y -- -- -- Y -- -- -- Y --
CALIFORNIA -- Y Y -- -- -- -- -- -- -- -- --
COLORADO -- Y Y Y Y -- Y Y -- Y Y Y
CONNECTICUT -- -- Y -- -- -- Y -- -- -- -- --
DELAWARE -- Y Y Y Y Y Y Y Y -- Y --
DIST OF COLUMBIA -- Y Y Y Y Y Y Y Y Y Y Y
FLORIDA Y Y Y Y Y Y Y -- -- Y Y Y
GEORGIA Y Y Y Y Y Y Y Y -- Y Y Y
HAWAII -- Y Y Y Y Y Y Y Y Y Y Y
IDAHO -- Y Y Y Y Y Y Y -- -- Y Y
ILLINOIS Y -- Y Y Y Y Y Y Y Y Y Y
INDIANA Y -- Y Y Y -- Y -- -- Y Y --
IOWA -- Y Y Y Y Y Y Y Y -- Y Y
KANSAS -- Y Y Y Y Y Y Y Y Y Y Y
KENTUCKY -- -- -- -- -- -- -- -- -- -- -- --
LOUISIANA Y Y Y Y Y Y -- Y Y -- Y Y
MAINE -- Y Y Y Y Y -- Y Y -- Y --
MARYLAND -- Y Y Y Y Y Y Y Y Y Y --
MASSACHUSETTS -- Y Y Y Y -- Y -- -- Y Y --
MICHIGAN Y Y Y Y Y -- Y -- Y -- Y Y
MINNESOTA -- -- Y Y Y Y -- -- Y -- Y --
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Items collected/not-collected by State: TEDS Supplemental Data Set 1996
"Y" = Collected, "--" = Not collected
Based on administrative data reported to TEDS by 47 reporting States, the District of Columbia, and Puerto Rico; Arizona, Kentucky, and Wyoming did not report any data; Revised per 05/11/04 data extract
State or jurisdiction DSM
diagnosis Psychiatric
problem Pregnant Veteran
Living arrange-
ment Income source
Health insurance
Payment source
Detailed not-in-labor-
force
Detailed criminal justice referral
Marital status
Days waiting for treatment
MISSISSIPPI Y Y Y Y Y Y Y Y Y Y Y Y
MISSOURI -- Y Y Y Y Y Y Y Y -- Y --
MONTANA -- -- Y -- Y -- Y -- -- -- -- Y
NEBRASKA Y Y Y Y Y Y Y Y Y Y Y Y
NEVADA Y Y Y Y Y Y Y Y Y Y Y Y
NEW HAMPSHIRE -- Y Y -- Y -- Y Y -- Y Y Y
NEW JERSEY -- Y Y -- Y -- Y Y -- Y Y --
NEW MEXICO Y Y Y Y Y Y Y Y Y Y Y Y
NEW YORK -- Y Y Y Y Y -- -- Y Y Y --
NORTH CAROLINA Y Y Y Y Y -- -- -- Y -- Y --
NORTH DAKOTA Y Y Y Y Y Y Y Y Y Y Y Y
OHIO Y Y Y Y Y Y -- Y Y Y Y Y
OKLAHOMA Y Y Y Y Y -- -- Y -- -- Y --
OREGON -- -- Y -- Y -- Y -- Y Y Y --
PENNSYLVANIA -- -- Y Y -- Y Y Y Y Y Y --
PUERTO RICO -- -- -- -- -- -- -- -- -- -- -- --
RHODE ISLAND -- Y -- -- Y Y -- Y -- Y Y --
SOUTH CAROLINA -- Y Y Y -- -- Y Y Y Y Y Y
SOUTH DAKOTA Y -- Y Y Y Y Y Y -- -- Y --
TENNESSEE Y Y -- Y Y -- -- -- Y -- Y --
TEXAS -- -- Y -- Y Y Y -- Y Y Y Y
UTAH -- Y Y -- Y Y Y Y -- -- -- Y
VERMONT Y -- Y -- Y -- -- Y -- Y -- --
VIRGINIA Y Y Y Y Y Y -- Y Y -- Y --
WASHINGTON -- Y Y Y Y -- -- -- Y -- Y --
WEST VIRGINIA Y Y Y Y Y Y Y Y Y Y Y Y
WISCONSIN -- -- Y -- -- -- -- -- -- -- -- --
WYOMING -- -- -- -- -- -- -- -- -- -- -- --
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