treatment episode data set -- admissions (teds-a), 1996...

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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http://wwwdasis.samhsa.gov/dasis2/crosswalks.htm

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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http://wwwdasis.samhsa.gov/dasis2/manuals/teds_adm_manual.pdf

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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http://wwwdasis.samhsa.gov/teds96/1996_teds_rpt.pdf

http://www.samhsa.gov/data/DASIS.aspx#TEDS

http://www.oas.samhsa.gov/dasis.htm

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



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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18SOURCE OF INCOME/SUPPORTPRIMINC

GEOGRAPHICGEOGRAPHIC



18CENSUS STATE FIPS CODESTFIPS

19FIPS 2000 CBSA CODECBSA

28FIPS 1990 MSA CODEPMSA

36CENSUS REGIONREGION

37CENSUS DIVISIONDIVISION

TREATMENT SERVICE CHARACTERISTICSTREATMENT SERVICECHARACTERISTICS



38SERVICE SETTING AT ADMISSIONSERVSETA

39MEDICATION-ASSISTED OPIOID THERAPYMETHUSE

40DAYS WAITING TO ENTER TREATMENTDAYWAIT

REFERRAL SOURCESREFERRAL SOURCES



40PRINCIPAL SOURCE OF REFERRALPSOURCE

41DETAILED CRIMINAL JUSTICE REFERRALDETCRIM

PRIOR SUBSTANCE ABUSE TREATMENTPRIOR SUBSTANCE ABUSETREATMENT



42NUMBER OF PRIOR TREATMENT EPISODESNOPRIOR

SUBSTANCES OF ABUSE: ORIGINAL VARIABLESSUBSTANCES OF ABUSE:ORIGINAL VARIABLES



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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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



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



58DSM DIAGNOSISDSMCRIT

58PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUGPROBLEM

PSYPROB

INSURANCE/PAYMENTINSURANCE/PAYMENT

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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



-9Range of Missing Values (M):

Year of client's admission to substance abuse treatment.Question:

Valid %%UnweightedFrequency

LabelValue

100.0%100.0 %1637093-1996


AGE (RECODED)AGE




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.


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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SEXGENDER




Identifies client's gender.Question:


LabelValue

70.6%70.4 %1151871MALE1

29.4%29.3 %479102FEMALE2

-0.4 %6120MISSING/UNKNOWN/NOT COLLECTED/INVALID-9 (M)


RACERACE




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.


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



ETHNICITY (HISPANIC ORIGIN)ETHNIC




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."


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



MARITAL STATUSMARSTAT




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


LabelValue

52.7%41.1 %673230NEVER MARRIED1

18.9%14.8 %241798NOW MARRIED2

8.6%6.7 %109531SEPARATED3

19.7%15.4 %252060DIVORCED, WIDOWED4



EDUCATIONEDUC



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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.


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



EMPLOYMENT STATUSEMPLOY




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.

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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



DETAILED 'NOT IN LABOR FORCE' CATEGORYDETNLF




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:


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



PREGNANT AT TIME OF ADMISSIONPREG




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.


LabelValue

3.9%1.0 %17142YES1

96.1%25.7 %421376NO2



VETERAN STATUSVET

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- 16 -




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.


LabelValue

9.6%5.5 %89943YES1

90.4%51.9 %849203NO2



LIVING ARRANGEMENTLIVARAG




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.


LabelValue

10.9%8.2 %133716HOMELESS1

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- 17 -


LabelValue

23.0%17.2 %282030DEPENDENT LIVING2

66.1%49.6 %811841INDEPENDENT LIVING3



SOURCE OF INCOME/SUPPORTPRIMINC




Identifies the client's principal source of financial support. For children under 18, this field indicatesthe parent's primary source of income/support.

Question:


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



CENSUS STATE FIPS CODESTFIPS




State FIPS codes consistent with those used by the U.S. Bureau of the Census.Question:


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 -


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


FIPS 2000 CBSA CODECBSA


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- 19 -



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.


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 -


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 -


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 -


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 -


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 -


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 -


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 -


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 -


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)


FIPS 1990 MSA CODEPMSA




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.


LabelValue

0.1%0.0 %777ABILENE, TX MSA40

0.0%0.0 %285AGUADILLA, PR MSA60

0.7%0.6 %9064AKRON, OH PMSA80

- 2651 -

- 28 -


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 -


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 -


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 -


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 -


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 -


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

- 2651 -

- 34 -


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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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)


CENSUS REGIONREGION




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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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).


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


CENSUS DIVISIONDIVISION




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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- 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.


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


SERVICE SETTING AT ADMISSIONSERVSETA




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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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).


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



MEDICATION-ASSISTED OPIOID THERAPYMETHUSE




This field identifies whether the use of Methadone or Buprenorphine is part of the client's treatmentplan.

Question:

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LabelValue

6.3%6.0 %98272YES1

93.7%88.8 %1454387NO2



DAYS WAITING TO ENTER TREATMENTDAYWAIT




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.


• Mean: 5.05• Median: 0.00• Mode: 0.00• Minimum: 0.00• Maximum: 996.00• Standard Deviation: 30.08

PRINCIPAL SOURCE OF REFERRALPSOURCE




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

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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).


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



DETAILED CRIMINAL JUSTICE REFERRALDETCRIM



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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.


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



NUMBER OF PRIOR TREATMENT EPISODESNOPRIOR




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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derived from the State data system, if the system hasthat capability, and episodes can be counted for atleast several years.


LabelValue

42.7%37.3 %609983NO PRIOR TREATMENT EPISODES0

22.6%19.7 %3222961 PRIOR TREATMENT EPISODES1




11.9%10.3 %1693385 OR MORE PRIOR TREATMENT EPISODES5



SUBSTANCE PROBLEM CODE (PRIMARY)SUB1




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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(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.


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

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LabelValue

0.0%0.0 %541OVER-THE-COUNTER MEDICATIONS18

0.2%0.2 %3680OTHER20



USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1




This field identifies the usual route of administration of the primary substance.Question:


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



FREQUENCY OF USE (PRIMARY)FREQ1




Specifies the frequency of use of the primary substance.Question:


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


42.8%39.7 %649478DAILY5



AGE AT FIRST USE (PRIMARY)FRSTUSE1




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:

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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



SUBSTANCE PROBLEM CODE (SECONDARY)SUB2




This field identifies the client's secondary substance problem.Question:

(1) NONE

(2) ALCOHOL

(3) COCAINE/CRACK


(5) HEROIN






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LabelValue

37.8%33.1 %542327NONE1

19.4%17.0 %278050ALCOHOL2

17.0%14.9 %243264COCAINE/CRACK3


2.1%1.8 %30103HEROIN5



0.2%0.2 %2657PCP8







14


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LabelValue


16

0.1%0.1 %1581INHALANTS17


0.4%0.4 %5818OTHER20



USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2




This field identifies the usual route of administration of the secondary substance.Question:


LabelValue

37.1%19.3 %316268ORAL1

44.5%23.2 %379625SMOKING2

9.6%5.0 %81469INHALATION3


0.3%0.2 %2821OTHER20



FREQUENCY OF USE (SECONDARY)FREQ2




Specifies the frequency of use of the secondary substance.Question:


LabelValue





27.7%14.8 %242204DAILY5



AGE AT FIRST USE (SECONDARY)FRSTUSE2



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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:


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



SUBSTANCE PROBLEM CODE (TERTIARY)SUB3




This field identifies the client's tertiary substance problem.Question:

(1) NONE

(2) ALCOHOL

(3) COCAINE/CRACK


(5) HEROIN





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LabelValue

70.8%54.1 %886396NONE1

7.1%5.4 %89074ALCOHOL2

5.9%4.5 %73230COCAINE/CRACK3


1.2%0.9 %15075HEROIN5



0.2%0.2 %2934PCP8






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- 50 -


LabelValue


14



16

0.2%0.2 %2487INHALANTS17


0.5%0.4 %6053OTHER20



USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3




This field identifies the usual route of administration of the tertiary substance.Question:


LabelValue

37.8%7.1 %115808ORAL1

41.3%7.7 %126461SMOKING2

13.4%2.5 %40994INHALATION3


0.8%0.2 %2475OTHER20



FREQUENCY OF USE (TERTIARY)FREQ3




Specifies the frequency of use of the tertiary substance.Question:


LabelValue





17.7%3.9 %63525DAILY5



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AGE AT FIRST USE (TERTIARY)FRSTUSE3




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:


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



NUMBER OF SUBSTANCES REPORTED AT ADM.NUMSUBS



Calculates the number of substances (maximum of 3) reported at admission from primary, secondary,and tertiary substances of abuse (SUB1, SUB2 and SUB3).

Question:


Value

2.2%2.2 %367660

43.2%43.2 %7075111

32.4%32.4 %5311862

22.1%22.1 %3616303


CURRENT IV DRUG USE REPORTED AT ADM.IDU



-9 , -8Range of Missing Values (M):

Flags record if injection was reported as primary, secondary, or tertiary route of administration.Question:

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LabelValue

86.7%84.8 %1388113NO IDU REPORTED0

13.3%13.0 %212371IDU REPORTED1

-2.2 %36609NO SUBSTANCES REPORTED-8 (M)


ALCOHOL REPORTED AT ADM.ALCFLG



Flags record if alcohol was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.

Question:


LabelValue

26.9%26.9 %440210SUBSTANCE NOT REPORTED0

73.1%73.1 %1196883SUBSTANCE REPORTED1


COCAINE/CRACK REPORTED AT ADM.COKEFLG



Flags record if cocaine or crack was reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




MARIJUANA/HASHISH REPORTED AT ADM.MARFLG



Flags record if marijuana or hashish were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




HEROIN REPORTED AT ADM.HERFLG



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Flags record if heroin was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.

Question:


LabelValue




NON-RX METHADONE REPORTED AT ADM.METHFLG



Flags record if non-prescription methadone was reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.

Question:


LabelValue




OTHER OPIATES/SYNTHETICS REPORTED AT ADM.OPSYNFLG



Flags record if other opiates or synthetics were reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.

Question:


LabelValue




PCP REPORTED AT ADM.PCPFLG



Flags record if PCP was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.

Question:


LabelValue




OTHER HALLUCINOGENS REPORTED AT ADM.HALLFLG



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Flags record if other hallucinogens were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




METHAMPHETAMINE REPORTED AT ADM.MTHAMFLG



Flags record if methamphetamines were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




OTHER AMPHETAMINES REPORTED AT ADM.AMPHFLG



Flags record if other amphetamines were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




OTHER STIMULANTS REPORTED AT ADM.STIMFLG



Flags record if other stimulants were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




BENZODIAZEPINES REPORTED AT ADM.BENZFLG



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Flags record if benzodiazepines were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTED AT ADM.TRNQFLG



Flags record if other non-benzodiazepine tranquilizers were reported as the primary, secondary, ortertiary substance of abuse at the time of admission.

Question:


LabelValue




BARBITURATES REPORTED AT ADM.BARBFLG



Flags record if barbiturates were reported as the primary, secondary, or tertiary substance of abuseat the time of admission.

Question:


LabelValue




OTHER NON-BARBITURATE SEDATIVES/HYPNOTICS REPORTED AT ADM.SEDHPFLG



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:


LabelValue




INHALANTS REPORTED AT ADM.INHFLG



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Flags record if inhalants were reported as the primary, secondary, or tertiary substance of abuse atthe time of admission.

Question:


LabelValue




OVER-THE-COUNTER MEDICATION REPORTED AT ADM.OTCFLG



Flags record if over-the-counter medications were reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.

Question:


LabelValue




OTHER DRUG REPORTED AT ADM.OTHERFLG



Flags record if other substances were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




SUBSTANCE ABUSE TYPEALCDRUG



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:


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


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DSM DIAGNOSISDSMCRIT




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.


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



PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEMPSYPROB

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Indicates whether the client has a psychiatric problem in addition to his or her alcohol or drug useproblem.

Question:


LabelValue

15.3%10.0 %164391YES1

84.7%55.6 %909733NO2



HEALTH INSURANCEHLTHINS




Specifies the client's health insurance (if any). The insurance may or may not cover alcohol or drugtreatment.

Question:


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



EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY




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.


LabelValue

30.0%9.9 %162124SELF-PAY1

9.4%3.1 %50617BLUE CROSS/BLUE SHIELD, OTHER HEALTHINSURANCE COMPANIES

2

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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



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APPENDIX

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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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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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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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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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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

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



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

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



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



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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treatment episode data set -- admissions (teds-a), 1996...

Documents