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

Treatment Episode Data Set --Admissions (TEDS-A), 2000

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, 2000 Introduction This codebook is for the Treatment Episode Data Set – Admissions (TEDS-A) for admissions to substance abuse treatment occurring in 2000. 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 2000 that were received and processed through October 10, 2011.

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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 49 states plus the District of Columbia. The following states did not report usable data for the year 2000: West Virginia. Puerto Rico did not report usable data in 2000 either. 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).

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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 2000 are as follows: Filename: da03672-0001.txt Number of observations: 1,749,726 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) 1992-2000. National Admissions to Substance Abuse Treatment Services. Drug and Alcohol Services Information System Series: S-17. DHHS Publication No. (SMA) 02-3727. Rockville MD, 2002. 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/teds00/teds_rpt_2000_web.pdf

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

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

Treatment Episode Data Set -- Admissions (TEDS-A), 2000

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), 2000

Variable Groups

Variable Groups Containing Variables

PageVariable Group LabelVariable Group Name

8IDENTIFICATIONIDENTIFICATION

8CLIENT CHARACTERISTICSCLIENTCHARACTERISTICS

9GEOGRAPHICGEOGRAPHIC

9TREATMENT SERVICE CHARACTERISTICSTREATMENTSERVICECHARACTERISTICS

9REFERRAL SOURCESREFERRALSOURCES

9PRIOR SUBSTANCE ABUSE TREATMENTPRIOR SUBSTANCEABUSETREATMENT

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

15EDUCATIONEDUC

15EMPLOYMENT STATUSEMPLOY

16DETAILED 'NOT IN LABOR FORCE' CATEGORYDETNLF

16PREGNANT AT TIME OF ADMISSIONPREG

17VETERAN STATUSVET

17LIVING ARRANGEMENTLIVARAG

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18SOURCE OF INCOME/SUPPORTPRIMINC

GEOGRAPHICGEOGRAPHIC



18CENSUS STATE FIPS CODESTFIPS

20FIPS 2000 CBSA CODECBSA

28FIPS 1990 MSA CODEPMSA

36CENSUS REGIONREGION

36CENSUS DIVISIONDIVISION

TREATMENT SERVICE CHARACTERISTICSTREATMENT SERVICECHARACTERISTICS



37SERVICE SETTING AT ADMISSIONSERVSETA

39MEDICATION-ASSISTED OPIOID THERAPYMETHUSE

39DAYS 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



42SUBSTANCE PROBLEM CODE (PRIMARY)SUB1

44USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1

44FREQUENCY OF USE (PRIMARY)FREQ1

45AGE AT FIRST USE (PRIMARY)FRSTUSE1

45SUBSTANCE PROBLEM CODE (SECONDARY)SUB2

47USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2

47FREQUENCY OF USE (SECONDARY)FREQ2

48AGE AT FIRST USE (SECONDARY)FRSTUSE2

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48SUBSTANCE PROBLEM CODE (TERTIARY)SUB3

50USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3

51FREQUENCY OF USE (TERTIARY)FREQ3

51AGE AT FIRST USE (TERTIARY)FRSTUSE3

SUBSTANCES OF ABUSE: CREATED VARIABLESSUBSTANCES OF ABUSE:CREATED VARIABLES



51NUMBER OF SUBSTANCES REPORTED AT ADM.NUMSUBS

52CURRENT IV DRUG USE REPORTED AT ADM.IDU

52ALCOHOL REPORTED AT ADM.ALCFLG

52COCAINE/CRACK REPORTED AT ADM.COKEFLG

52MARIJUANA/HASHISH REPORTED AT ADM.MARFLG

53HEROIN REPORTED AT ADM.HERFLG

53NON-RX METHADONE REPORTED AT ADM.METHFLG

53OTHER OPIATES/SYNTHETICS REPORTED AT ADM.OPSYNFLG

53PCP REPORTED AT ADM.PCPFLG

54OTHER HALLUCINOGENS REPORTED AT ADM.HALLFLG

54METHAMPHETAMINE REPORTED AT ADM.MTHAMFLG

54OTHER AMPHETAMINES REPORTED AT ADM.AMPHFLG

54OTHER STIMULANTS REPORTED AT ADM.STIMFLG

55BENZODIAZEPINES REPORTED AT ADM.BENZFLG

55OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTEDAT ADM.

TRNQFLG

55BARBITURATES REPORTED AT ADM.BARBFLG

55OTHER NON-BARBITURATE SEDATIVES/HYPNOTICSREPORTED AT ADM.

SEDHPFLG

56INHALANTS REPORTED AT ADM.INHFLG

56OVER-THE-COUNTER MEDICATION REPORTED AT ADM.OTCFLG

56OTHER DRUG REPORTED AT ADM.OTHERFLG

56SUBSTANCE ABUSE TYPEALCDRUG

MENTAL HEALTHMENTAL HEALTH



57DSM DIAGNOSISDSMCRIT

58PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUGPROBLEM

PSYPROB

INSURANCE/PAYMENTINSURANCE/PAYMENT

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58HEALTH INSURANCEHLTHINS

58EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY

CASE IDENTIFICATION NUMBERCASEID

1-8 (width: 8; decimal: 0)Location:

numericVariable Type:

Based upon 1749726 valid cases out of 1749726 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 %1749726-2000


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

1.4%1.4 %2501212-142

6.4%6.4 %11275815-173

6.6%6.6 %11504118-204

9.3%9.3 %16251821-245

11.8%11.8 %20671225-296

15.2%15.2 %26627030-347

17.9%17.9 %31317035-398

14.7%14.7 %25713440-449

8.9%8.9 %15589045-4910

4.3%4.3 %7510950-5411

3.4%3.4 %6011255 AND OVER12

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SEXGENDER




Identifies client's gender.Question:


LabelValue

70.1%70.0 %1224001MALE1

29.9%29.9 %522301FEMALE2

-0.2 %3424MISSING/UNKNOWN/NOTCOLLECTED/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 %8098ALASKA NATIVE (ALEUT, ESKIMO, INDIAN)1

2.0%1.9 %34065AMERICAN INDIAN (OTHER THAN ALASKANATIVE)

2

0.9%0.8 %14840ASIAN OR PACIFIC ISLANDER3

25.6%25.3 %442083BLACK OR AFRICAN AMERICAN4

60.4%59.6 %1043534WHITE5

0.0%0.0 %819ASIAN13

10.7%10.6 %184955OTHER SINGLE RACE20

0.0%0.0 %4TWO OR MORE RACES21

0.0%0.0 %347NATIVE HAWAIIAN OR OTHER PACIFICISLANDER

23



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),

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other than Puerto Rican, Mexican, or Cuban, regardless ofrace.

- NOT OF HISPANIC ORIGIN:

- 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

4.8%4.5 %79210PUERTO RICAN1

5.0%4.8 %83365MEXICAN2

0.3%0.3 %4728CUBAN3

2.8%2.7 %46806OTHER SPECIFIC HISPANIC4

87.0%82.5 %1443963NOT OF HISPANIC ORIGIN5

0.1%0.1 %2487HISPANIC, SPECIFIC ORIGIN NOT SPECIFIED6



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

56.6%43.7 %765056NEVER MARRIED1

17.1%13.2 %231415NOW MARRIED2

7.1%5.5 %96482SEPARATED3

19.2%14.8 %258881DIVORCED, WIDOWED4


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EDUCATIONEDUC




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

9.6%9.3 %1627458 YEARS OR LESS1

31.3%30.4 %5322159-112

40.4%39.3 %687773123

14.8%14.4 %25168013-154

3.9%3.8 %6699616 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 based

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on 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.


LabelValue

25.5%24.2 %423672FULL TIME1

7.0%6.6 %116263PART TIME2

23.1%21.9 %383698UNEMPLOYED3

44.4%42.2 %738242NOT 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

3.4%0.6 %10016HOMEMAKER1

24.0%4.1 %71430STUDENT2

22.7%3.9 %67699RETIRED, DISABLED3

9.1%1.5 %27109INMATE OF INSTITUTION5

40.8%6.9 %121365OTHER6



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

3.8%1.0 %17597YES1

96.2%25.4 %443938NO2

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LabelValue



VETERAN STATUSVET




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

6.7%3.9 %68631YES1

93.3%54.9 %961116NO2



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 others

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- 17 -

without supervision. Includes adult children (age 18 orover) living with parents.


LabelValue

11.1%8.7 %151619HOMELESS1

23.1%18.1 %315884DEPENDENT LIVING2

65.8%51.3 %898304INDEPENDENT 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

36.8%19.9 %347465WAGES/SALARY1

10.0%5.4 %94175PUBLIC ASSISTANCE2

4.9%2.7 %46477RETIREMENT/PENSION, DISABILITY3

21.2%11.4 %199954OTHER20

27.1%14.6 %255258NONE21



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 %17520ALABAMA1

0.3%0.3 %5153ALASKA2

0.8%0.8 %13549ARIZONA4

0.8%0.8 %13389ARKANSAS5

10.5%10.5 %183490CALIFORNIA6

3.1%3.1 %55019COLORADO8

2.9%2.9 %50863CONNECTICUT9

0.4%0.4 %6727DELAWARE10

0.3%0.3 %6019DIST OF COLUMBIA11

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- 18 -


LabelValue

4.5%4.5 %79516FLORIDA12

1.7%1.7 %30226GEORGIA13

0.4%0.4 %6649HAWAII15

0.3%0.3 %5891IDAHO16

3.6%3.6 %63102ILLINOIS17

2.2%2.2 %38231INDIANA18

1.5%1.5 %25924IOWA19

0.8%0.8 %14330KANSAS20

1.1%1.1 %18471KENTUCKY21

1.6%1.6 %27926LOUISIANA22

0.6%0.6 %10452MAINE23

3.2%3.2 %55679MARYLAND24

4.0%4.0 %70137MASSACHUSETTS25

3.3%3.3 %57325MICHIGAN26

2.3%2.3 %40014MINNESOTA27

0.5%0.5 %9579MISSISSIPPI28

2.5%2.5 %44305MISSOURI29

0.4%0.4 %7026MONTANA30

0.5%0.5 %8504NEBRASKA31

0.6%0.6 %10792NEVADA32

0.3%0.3 %5773NEW HAMPSHIRE33

3.0%3.0 %52852NEW JERSEY34

0.4%0.4 %7138NEW MEXICO35

17.2%17.2 %300524NEW YORK36

2.0%2.0 %35085NORTH CAROLINA37

0.1%0.1 %1954NORTH DAKOTA38

2.8%2.8 %48959OHIO39

0.8%0.8 %13592OKLAHOMA40

3.0%3.0 %52595OREGON41

3.7%3.7 %64013PENNSYLVANIA42

0.7%0.7 %11773RHODE ISLAND44

1.6%1.6 %28268SOUTH CAROLINA45

0.5%0.5 %9143SOUTH DAKOTA46

0.4%0.4 %7644TENNESSEE47

1.7%1.7 %29334TEXAS48

1.1%1.1 %19375UTAH49

0.4%0.4 %7140VERMONT50

1.3%1.3 %23491VIRGINIA51

1.8%1.8 %30659WASHINGTON53

1.2%1.2 %20354WISCONSIN55

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- 19 -


LabelValue

0.2%0.2 %4252WYOMING56


FIPS 2000 CBSA CODECBSA




The term "Core Based Statistical Area" (CBSA) is a collective term for both metro and micro areas.Metropolitan andmicropolitan statistical areas (metro andmicro 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%0.1 %1282ABILENE, TX METRO10180

0.1%0.1 %1948AKRON, OH METRO10420

0.0%0.0 %559ALBANY, GA METRO10500

1.4%1.1 %18661ALBANY-SCHENECTADY-TROY, NY METRO10580

0.1%0.0 %820ALBUQUERQUE, NM METRO10740

0.2%0.2 %2946ALEXANDRIA, LA METRO10780

0.0%0.0 %235ALLEGAN, MI MICRO10880

0.2%0.2 %3259ALLENTOWN-BETHLEHEM-EASTON, PA-NJMETRO

10900

0.2%0.2 %3051ALTOONA, PA METRO11020

0.0%0.0 %541AMARILLO, TX METRO11100

0.2%0.1 %1998ANCHORAGE, AK METRO11260

0.1%0.0 %870ANDERSON, IN METRO11300

0.1%0.1 %1498ANDERSON, SC METRO11340

0.0%0.0 %345ANN ARBOR, MI METRO11460

0.0%0.0 %593ANNISTON-OXFORD, AL METRO11500

0.0%0.0 %296APPLETON, WI METRO11540

0.2%0.1 %2352ASHEVILLE, NC METRO11700

0.1%0.0 %779ASHTABULA, OH MICRO11780

0.1%0.1 %1731ATHENS-CLARKE COUNTY, GA METRO12020

0.6%0.5 %8498ATLANTA-SANDY SPRINGS-MARIETTA, GAMETRO

12060

0.1%0.1 %1818ATLANTIC CITY, NJ METRO12100

0.0%0.0 %624AUBURN-OPELIKA, AL METRO12220

0.1%0.1 %1549AUGUSTA-RICHMOND COUNTY, GA-SCMETRO

12260

- 3672 -

- 20 -


LabelValue

0.2%0.1 %2163AUSTIN-ROUND ROCK, TX METRO12420

0.3%0.2 %3516BAKERSFIELD, CA METRO12540

2.5%1.8 %32263BALTIMORE-TOWSON, MD METRO12580

0.3%0.2 %3884BARNSTABLE TOWN, MA METRO12700

0.4%0.3 %4877BATON ROUGE, LA METRO12940

0.1%0.0 %693BATTLE CREEK, MI METRO12980

0.0%0.0 %308BAY CITY, MI METRO13020

0.1%0.1 %1151BEAUMONT-PORT ARTHUR, TX METRO13140

0.1%0.1 %1255BELLINGHAM, WA METRO13380

0.1%0.1 %1095BILLINGS, MT METRO13740

0.3%0.2 %3619BINGHAMTON, NY METRO13780

0.3%0.2 %3838BIRMINGHAM-HOOVER, AL METRO13820

0.1%0.1 %1014BLOOMINGTON-NORMAL, IL METRO14060

0.0%0.0 %106BOISE CITY-NAMPA, ID METRO14260

2.9%2.2 %37963BOSTON-CAMBRIDGE-QUNICY,MA-NHMETRO14460

0.1%0.1 %1803BOULDER, CO METRO14500

0.1%0.1 %1278BREMERTON-SILVERDALE, WA METRO14740

0.6%0.5 %8387BRIDGEPORT-STAMFORD-NORWALK, CTMETRO

14860

0.0%0.0 %499BROWNSVILLE-HARLINGEN, TX METRO15180

1.5%1.2 %20325BUFFALO-CHEEKTOWAGA-TONAWANDA, NYMETRO

15380

0.0%0.0 %204BURLINGTON, NC METRO15500

0.2%0.2 %2934BURLINGTON-SOUTH BURLINGTON, VTMETRO

15540

0.2%0.1 %2600CANTON-MASSILLON, OH METRO15940

0.2%0.2 %3108CAPE CORAL-FORT MYERS, FL METRO15980

0.2%0.1 %2545CEDAR RAPIDS, IA METRO16300

0.1%0.1 %1152CHAMPAIGN-URBANA, IL METRO16580

0.3%0.2 %3469CHARLESTON-NORTH CHARLESTON, SCMETRO

16700

0.6%0.5 %7906CHARLOTTE-GASTONIA-CONCORD, NC-SCMETRO

16740

0.0%0.0 %595CHARLOTTESVILLE, VA METRO16820

0.1%0.1 %1205CHATTANOOGA, TN-GA METRO16860

2.9%2.2 %38133CHICAGO-NAPERVILLE-JOLIET, IL-IN-WIMETRO

16980

0.1%0.0 %810CHICO, CA METRO17020

0.8%0.6 %10073CINCINNATI-MIDDLETOWN,OH-KY-INMETRO17140

0.1%0.0 %768CLARKSVILLE, TN-KY METRO17300

0.9%0.6 %11197CLEVELAND-ELYRIA-MENTOR, OH METRO17460

0.0%0.0 %303COLLEGE STATION-BRYAN, TX METRO17780

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- 21 -


LabelValue

0.0%0.0 %7COLORADO SPRINGS, CO METRO17820

0.1%0.1 %1753COLUMBIA, MO METRO17860

0.3%0.2 %3336COLUMBIA, SC METRO17900

0.0%0.0 %575COLUMBUS, GA-AL METRO17980

0.4%0.3 %5655COLUMBUS, OH METRO18140

0.1%0.1 %1597CORPUS CHRISTI, TX METRO18580

0.1%0.1 %1126CUMBERLAND, MD-WV METRO19060

0.2%0.1 %2517DALLAS-FORT WORTH-ARLINGTON, TXMETRO

19100

0.0%0.0 %371DANVILLE, VA METRO19260

0.0%0.0 %234DAPHNE-FAIRHOPE, AL MICRO19300

0.3%0.2 %4345DAVENPORT-MOLINE-ROCK ISLAND, IA-ILMETRO

19340

0.4%0.3 %5542DAYTON, OH METRO19380

0.0%0.0 %244DECATUR, AL METRO19460

0.1%0.1 %1377DECATUR, IL METRO19500

0.3%0.3 %4496DELTONA-DAYTONABEACH-ORMONDBEACH,FL METRO

19660

0.0%0.0 %31DENVER-AURORA, CO METRO19740

0.3%0.2 %3742DES MOINES, IA METRO19780

1.6%1.2 %21480DETROIT-WARREN-LIVONIA, MI METRO19820

0.0%0.0 %631DOTHAN, AL METRO20020

0.0%0.0 %523DOVER, DE METRO20100

0.2%0.1 %2037DULUTH, MN-WI METRO20260

0.1%0.1 %1532DURHAM, NC METRO20500

0.0%0.0 %395EAST LIVERPOOL-SALEM, OH MICRO20620

0.1%0.0 %822EAU CLAIRE, WI METRO20740

0.1%0.1 %1898EL PASO, TX METRO21340

0.2%0.1 %1984ERIE, PA METRO21500

0.5%0.3 %6094EUGENE-SPRINGFIELD, OR METRO21660

0.0%0.0 %141EVANSVILLE, IN-KY METRO21780

0.0%0.0 %518FARGO, ND-MN METRO22020

0.1%0.1 %1021FAYETTEVILLE, NC METRO22180

0.1%0.1 %961FAYETTEVILLE-SPRINGDALE-ROGERS,AR-MOMETRO

22220

0.5%0.3 %5980FLINT, MI METRO22420

0.0%0.0 %531FLORENCE, AL METRO22460

0.1%0.1 %1274FLORENCE, SC METRO22500

0.0%0.0 %560FORT SMITH, AR-OK METRO22900

0.1%0.1 %1806FORT WALTON BEACH-CRESTVIEW-DESTIN,FL METRO

23020

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- 22 -


LabelValue

0.5%0.4 %6598FRESNO, CA METRO23420

0.1%0.1 %948GADSDEN, AL METRO23460

0.1%0.1 %1189GAINESVILLE, FL METRO23540

0.1%0.1 %1035GLENS FALLS, NY METRO24020

0.0%0.0 %468GOLDSBORO, NC METRO24140

0.0%0.0 %17GRAND JUNCTION, CO METRO24300

0.3%0.2 %3737GRAND RAPIDS-WYOMING, MI METRO24340

0.0%0.0 %280GREELEY, CO METRO24540

0.0%0.0 %134GREEN BAY, WI METRO24580

0.2%0.1 %2526GREENSBORO-HIGH POINT, NC METRO24660

0.1%0.1 %1330GREENVILLE, NC METRO24780

0.3%0.2 %3791GREENVILLE, SC METRO24860

0.0%0.0 %530GULFPORT-BILOXI, MS METRO25060

0.1%0.1 %1337HAGERSTOWN-MARTINSBURG, MD-WVMETRO

25180

0.3%0.2 %3620HARRISBURG-CARLISLE, PA METRO25420

1.8%1.3 %23120HARTFORD-WEST HARTFORD-EASTHARTFORD, CT METRO

25540

0.1%0.0 %717HATTIESBURG, MS METRO25620

0.1%0.1 %1556HICKORY-MORGANTON-LENOIR, NC METRO25860

0.1%0.1 %1648HOLLAND-GRAND HAVEN, MI METRO26100

0.4%0.3 %4645HONOLULU, HI METRO26180

0.1%0.1 %1895HOUMA-BAYOUCANE-THIBODAUX, LAMETRO26380

0.6%0.4 %7650HOUSTON-BAYTOWN-SUGAR LAND, TXMETRO

26420

0.1%0.1 %902HUNTINGTON-ASHLAND, WV-KY-OH METRO26580

0.0%0.0 %553HUNTSVILLE, AL METRO26620

0.1%0.0 %870INDIANAPOLIS, IN METRO26900

0.1%0.1 %1771IOWA CITY, IA METRO26980

0.1%0.0 %714JACKSON, MI METRO27100

0.2%0.2 %2692JACKSON, MS METRO27140

0.0%0.0 %607JACKSON, TN METRO27180

0.7%0.6 %9727JACKSONVILLE, FL METRO27260

0.0%0.0 %627JACKSONVILLE, NC METRO27340

0.1%0.1 %1228JAMESTOWN-DUNKIRK-FREDONIA,NYMICRO27460

0.1%0.1 %1048JANESVILLE, WI METRO27500

0.1%0.1 %1120JOHNSON, CITYTN METRO27740

0.1%0.1 %968JOHNSTOWN, PA METRO27780

0.1%0.1 %1658JOPLIN, MO METRO27900

0.1%0.1 %1705KALAMAZOO-PORTAGE, MI METRO28020

0.1%0.1 %936KANKAKEE-BRADLEY, IL METRO28100

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- 23 -


LabelValue

0.8%0.6 %10767KANSAS CITY, MO-KS METRO28140

0.1%0.0 %695KENNEWICK-RICHLAND-PASCO, WA METRO28420

0.0%0.0 %127KILLEEN-TEMPLE-FORT HOOD, TX METRO28660

0.1%0.1 %987KNOXVILLE, TN METRO28940

0.0%0.0 %274LA CROSSE, WI-MN METRO29100

0.1%0.1 %1771LAFAYETTE, LA METRO29180

0.1%0.1 %1518LAKE CHARLES, LA METRO29340

0.0%0.0 %479LAKELAND-WINTER HAVEN, FL METRO29460

0.2%0.1 %2461LANCASTER, PA METRO29540

0.1%0.1 %1516LANSING-EAST LANSING, MI METRO29620

0.0%0.0 %640LAREDO, TX METRO29700

0.1%0.0 %694LAS CRUCES, NM METRO29740

0.5%0.4 %6757LAS VEGAS-PARADISE, NV METRO29820

0.1%0.1 %880LAWTON, OK METRO30020

0.1%0.0 %759LEBANON, PA METRO30140

0.1%0.0 %746LEXINGTON-FAYETTE, KY METRO30460

0.1%0.0 %743LEXINGTON-THOMASVILLE, NC MICRO30540

0.0%0.0 %183LIMA, OH METRO30620

0.1%0.1 %1157LINCOLN, NE METRO30700

0.3%0.2 %3552LITTLE ROCK-NORTH LITTLE ROCK, ARMETRO

30780

0.0%0.0 %304LONGVIEW, TX METRO30980

4.7%3.5 %61852LOS ANGELES-LONG BEACH-SANTA ANA, CAMETRO

31100

0.2%0.1 %2133LOUISVILLE, KY-IN METRO31140

0.1%0.1 %1026LUBBOCK, TX METRO31180

0.0%0.0 %23LYNCHBURG, VA METRO31340

0.1%0.1 %1402MACON, GA METRO31420

0.1%0.0 %806MADERA, CA METRO31460

0.1%0.1 %1830MADISON, WI METRO31540

0.2%0.1 %2213MANCHESTER-NASHUA, NH METRO31700

0.0%0.0 %178MANSFIELD, OH METRO31900

0.1%0.0 %723MCALLEN-EDINBURG-PHARR, TX METRO32580

0.3%0.2 %3643MEDFORD, OR METRO32780

0.1%0.1 %1408MEMPHIS, TN-MS-AR METRO32820

0.1%0.1 %1144MERCED, CA METRO32900

1.8%1.4 %24004MIAMI-FORT LAUDERDALE-MIAMI BEACH, FLMETRO

33100

0.0%0.0 %47MIDLAND, TX METRO33260

0.1%0.1 %1252MILWAUKEE-WAUKESHA-WEST ALLIS, WIMETRO

33340

- 3672 -

- 24 -


LabelValue

1.9%1.4 %25260MINNEAPOLIS-ST. PAUL-BLOOMINGTON,MN-WI METRO

33460

0.1%0.1 %1052MOBILE, AL METRO33660

0.2%0.2 %2803MODESTO, CA METRO33700

0.1%0.1 %1426MONROE, LA METRO33740

0.0%0.0 %290MONROE, MI METRO33780

0.2%0.1 %2131MONTGOMERY, AL METRO33860

0.2%0.1 %2006MUSKEGON-NORTON SHORES, MI METRO34740

0.1%0.0 %811MYRTLE BEACH-CONWAY-NORTH MYRTLEBEACH, SC METRO

34820

0.0%0.0 %415NAPA, CA METRO34900

0.1%0.1 %929NAPLES-MARCO ISLAND, FL METRO34940

0.1%0.1 %1157NASHVILLE-DAVIDSON--MURFREESBORO,TNMETRO

34980

0.6%0.4 %7603NEW HAVEN-MILFORD, CT METRO35300

0.4%0.3 %5304NEWORLEANS-METAIRIE-KENNER,LAMETRO35380

16.4%12.4 %216278NEW YORK-NEWARK-EDISON, NY-NJ-PAMETRO

35620

0.1%0.1 %1914NILES-BENTON HARBOR, MI METRO35660

0.5%0.3 %6117NORWICH-NEW LONDON, CT METRO35980

0.0%0.0 %489OCALA, FL METRO36100

0.1%0.0 %684OCEAN CITY, NJ METRO36140

0.0%0.0 %362ODESSA, TX METRO36220

0.2%0.1 %2367OGDEN-CLEARFIELD, UT METRO36260

0.3%0.2 %3941OKLAHOMA CITY, OK METRO36420

0.1%0.0 %816OLYMPIA, WA METRO36500

0.3%0.2 %3917OMAHA-COUNCIL BLUFFS, NE-IA METRO36540

0.6%0.5 %8013ORLANDO, FL METRO36740

0.0%0.0 %268OSHKOSH-NEENAH, WI METRO36780

0.2%0.2 %2994OXNARD-VENTURA-THOUSAND OAKSVENTURA, CA METRO

37100

0.2%0.1 %2169PALM BAY-MELBOURNE-TITUSVILLE, FLMETRO

37340

0.1%0.1 %1654PANAMA CITY-LYNN HAVEN, FL METRO37460

0.0%0.0 %486PASCAGOULA, MS METRO37700

0.3%0.2 %3513PENSACOLA-FERRYPASS-BRENT, FLMETRO37860

0.1%0.1 %1780PEORIA, IL METRO37900

2.5%1.8 %32346PHILADELPHIA-CAMDEN-WILMINGTON,PA-NJ-DE-M METRO

37980

0.6%0.4 %7626PITTSBURGH, PA METRO38300

0.2%0.2 %3172PORTLAND-SOUTH PORTLAND, ME METRO38860

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- 25 -


LabelValue

1.7%1.2 %21798PORTLAND-VANCOUVER-BEAVERTON,OR-WAMETRO

38900

0.1%0.0 %684PORT ST. LUCIE, FL METRO38940

0.9%0.7 %11648POUGHKEEPSIE-NEWBURGH-MIDDLETOWN,NY METRO

39100

1.2%0.9 %15931PROVIDENCE-NEW BEDFORD-FALL RIVER,RI-MA METRO

39300

0.1%0.1 %1507PROVO-OREM, UT METRO39340

0.1%0.0 %691PUNTA GORDA, FL METRO39460

0.0%0.0 %497RACINE, WI METRO39540

0.2%0.1 %2126RALEIGH-CARY, NC METRO39580

0.1%0.1 %1883READING, PA METRO39740

0.1%0.1 %1363REDDING, CA METRO39820

0.1%0.1 %1919RENO-SPARKS, NV METRO39900

0.2%0.1 %2051RICHMOND, VA METRO40060

1.0%0.7 %12497RIVERSIDE-SAN BERNARDINO-ONTARIO, CAMETRO

40140

0.1%0.1 %1896ROANOKE, VA METRO40220

0.1%0.1 %877ROCHESTER, MN METRO40340

1.4%1.0 %17816ROCHESTER, NY METRO40380

0.2%0.2 %3058ROCKFORD, IL METRO40420

0.1%0.0 %841ROCKY MOUNT, NC METRO40580

0.7%0.5 %9111SACRAMENTO--ARDEN-ARCADE--ROSEVILLE,CA METRO

40900

0.1%0.1 %1273SAGINAW-SAGINZW TOWNSHIP NORTH, MIMETRO

40980

0.1%0.1 %1537SAINT CLOUD, MN METRO41060

0.1%0.0 %702SAINT JOSEPH, MO-KS METRO41140

1.2%0.9 %16162SAINT LOUIS, MO-IL METRO41180

0.4%0.3 %5490SALEM, OR METRO41420

0.1%0.1 %1090SALINAS, CA METRO41500

0.9%0.7 %12103SALT LAKE CITY, UT METRO41620

0.0%0.0 %151SAN ANGELO, TX METRO41660

0.1%0.1 %1759SAN ANTONIO, TX METRO41700

1.3%1.0 %17272SAN DIEGO-CARLSBAD-SAN MARCOS, CAMETRO

41740

2.2%1.6 %28666SAN FRANCISCO-OAKLAND-FREMONT, CAMETRO

41860

0.5%0.4 %6726SAN JOSE-SUNNYVALE-SANTA CLARA, CAMETRO

41940

0.0%0.0 %616SAN LUIS OBISPO-PASOROBLES, CAMETRO42020

0.2%0.1 %2600SANTA BARBARA-SANTA MARIA-GOLETA, CAMETRO

42060

- 3672 -

- 26 -


LabelValue

0.1%0.1 %1631SANTA CRUZ-WATSONVILLE, CA METRO42100

0.2%0.1 %2186SANTA FE, NM METRO42140

0.6%0.4 %7753SANTA ROSA, CA METRO42220

0.1%0.1 %1713SARASOTA-BRADENTON-VENICE, FL METRO42260

0.0%0.0 %52SAVANNAH, GA METRO42340

0.3%0.2 %4190SCRANTON--WILKES-BARRE-, PA METRO42540

0.9%0.7 %11963SEATTLE-TACOMA-BELLEVUE, WA METRO42660

0.0%0.0 %302SHEBOYGAN, WI METRO43100

0.2%0.2 %2980SHREVEPORT-BOSSIER CITY, LA METRO43340

0.1%0.1 %1418SIOUX CITY, IA-NE-SD METRO43580

0.2%0.2 %2882SIOUX FALLS, SD METRO43620

0.2%0.2 %2939SPARTANBURG, SC METRO43900

0.2%0.1 %2370SPOKANE, WA METRO44060

0.1%0.1 %1531SPRINGFIELD, IL METRO44100

0.6%0.4 %7686SPRINGFIELD, MA METRO44140

0.3%0.2 %3519SPRINGFIELD, MO METRO44180

0.2%0.1 %2287SPRINGFIELD, OH METRO44220

0.0%0.0 %291STATE COLLEGE, PA METRO44300

0.2%0.2 %2651STOCKTON, CA METRO44700

0.1%0.1 %882SUMTER, SC METRO44940

0.8%0.6 %10451SYRACUSE, NY METRO45060

0.1%0.1 %1592TALLAHASSEE, FL METRO45220

0.6%0.4 %7856TAMPA-ST. PETERSBURG-CLEARWATER, FLMETRO

45300

0.1%0.0 %666TEXARKANA TX-TEXARKANA, AR METRO45500

0.0%0.0 %73TOLEDO, OH METRO45780

0.1%0.1 %1696TOPEKA, KS METRO45820

0.1%0.1 %1495TRENTON-EWING, NJ METRO45940

0.2%0.2 %3080TULSA, OK METRO46140

0.1%0.0 %734TUSCALOOSA, AL METRO46220

0.0%0.0 %129TYLER, TX METRO46340

0.3%0.2 %4305UTICA-ROME, NY METRO46540

0.1%0.1 %1187VALLEJO-FAIRFIELD, CA METRO46700

0.2%0.1 %2149VINELAND-MILLVILLE-BRIDGETON,NJMETRO47220

0.4%0.3 %5841VIRGINIABEACH-NORFOLK-NEWPORTNEWS,VA-NC METRO

47260

0.1%0.1 %1778VISALIA-PORTERVILLE, CA METRO47300

0.1%0.0 %723WACO, TX METRO47360

0.0%0.0 %45WARNER ROBINS, GA METRO47580

2.0%1.5 %26643WASHINGTON-ARLINGTIN-ALEXANDRIA,DC-VA-MD-W METRO

47900

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- 27 -


LabelValue

0.2%0.1 %2246WATERLOO-CEDAR FALLS, IA METRO47940

0.0%0.0 %649WAUSAU, WI METRO48140

0.0%0.0 %555WHEELING, WV-OH METRO48540

0.4%0.3 %4744WICHITA, KS METRO48620

0.0%0.0 %440WICHITA FALLS, TX METRO48660

0.0%0.0 %547WILLIAMSPORT, PA METRO48700

0.1%0.1 %1058WILMINGTON, NC METRO48900

0.2%0.1 %2254WINSTON-SALEM, NC METRO49180

0.9%0.7 %12246WORCESTER, MA METRO49340

0.2%0.2 %2784YAKIMA, WA METRO49420

0.1%0.0 %810YORK-HANOVER, PA METRO49620

0.1%0.0 %865YOUNGSTOWN-WARREN-BOARDMAN,OH-PAMETRO

49660

0.1%0.0 %771YUBA CITY-MARYSVILLE, CA METRO49700

-24.8 %434635UNDESIGNATEDAREA/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%0.1 %1282ABILENE, TX MSA40

0.1%0.1 %1948AKRON, OH PMSA80

0.0%0.0 %559ALBANY, GA MSA120

1.4%1.1 %18661ALBANY-SCHENECTADY-TROY, NY MSA160

0.1%0.0 %820ALBUQUERQUE, NM MSA200

0.2%0.2 %2946ALEXANDRIA, LA MSA220

0.2%0.1 %2256ALLENTOWN-BETHLEHEM-EASTON, PA MSA240

0.2%0.2 %3051ALTOONA, PA MSA280

0.0%0.0 %541AMARILLO, TX MSA320

0.2%0.1 %1998ANCHORAGE, AK MSA380

0.0%0.0 %435ANN ARBOR, MI PMSA440

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- 28 -


LabelValue

0.0%0.0 %593ANNISTON, AL MSA450

0.0%0.0 %564APPLETON-OSHKOSH-NEENAH, WI MSA460

0.2%0.1 %2352ASHEVILLE, NC MSA480

0.1%0.1 %1731ATHENS, GA MSA500

0.6%0.5 %8498ATLANTA, GA MSA520

0.2%0.1 %2502ATLANTIC-CAPE MAY, NJ PMSA560

0.0%0.0 %624AUBURN-OPELIKA, AL MSA580

0.1%0.1 %1549AUGUSTA-AIKEN, GA-SC MSA600

0.2%0.1 %2163AUSTIN-SAN MARCOS, TX MSA640

0.3%0.2 %3516BAKERSFIELD, CA MSA680

2.5%1.8 %32263BALTIMORE, MD PMSA720

0.3%0.2 %3884BARNSTABLE-YARMOUTH, MA NECMA743

0.4%0.3 %4877BATON ROUGE, LA MSA760

0.1%0.1 %1151BEAUMONT-PORT ARTHUR, TX MSA840

0.1%0.1 %1255BELLINGHAM, WA MSA860

0.1%0.1 %1914BENTON HARBOR, MI MSA870

0.6%0.5 %7951BERGEN-PASSAIC, NJ PMSA875

0.1%0.1 %1095BILLINGS, MT MSA880

0.1%0.1 %1016BILOXI-GULFPORT-PASCAGOULA, MS MSA920

0.3%0.2 %3619BINGHAMTON, NY MSA960

0.3%0.2 %3838BIRMINGHAM, AL MSA1000

0.1%0.1 %1014BLOOMINGTON-NORMAL, IL MSA1040

0.0%0.0 %106BOISE CITY, ID MSA1080

4.3%3.3 %57198BOSTON-WORCESTER-LAWRENCE-LOWELL-BROCKTON,MA-NH NECMA

1123

0.1%0.1 %1803BOULDER-LONGMONT, CO PMSA1125

0.1%0.1 %898BRAZORIA, TX PMSA1145

0.1%0.1 %1278BREMERTON, WA PMSA1150

0.0%0.0 %499BROWNSVILLE-HARLINGEN-SAN BENITO, TXMSA

1240

0.0%0.0 %303BRYAN-COLLEGE STATION, TX MSA1260

1.5%1.2 %20325BUFFALO-NIAGARA FALLS, NY MSA1280

0.2%0.2 %2934BURLINGTON, VT NECMA1303

0.2%0.1 %2600CANTON-MASSILLON, OH MSA1320

0.2%0.1 %2545CEDAR RAPIDS, IA MSA1360

0.1%0.1 %1152CHAMPAIGN-URBANA, IL MSA1400

0.3%0.2 %3469CHARLESTON-NORTHCHARLESTON,SCMSA1440

0.6%0.5 %7906CHARLOTTE-GASTONIA-ROCK HILL, NC-SCMSA

1520

0.0%0.0 %595CHARLOTTESVILLE, VA MSA1540

0.1%0.1 %1205CHATTANOOGA, TN-GA MSA1560

- 3672 -

- 29 -


LabelValue

2.9%2.2 %37975CHICAGO, IL PMSA1600

0.1%0.0 %810CHICO-PARADISE, CA MSA1620

0.6%0.5 %8247CINCINNATI, OH-KY-IN PMSA1640

0.1%0.0 %768CLARKSVILLE-HOPKINSVILLE, TN-KY MSA1660

0.9%0.7 %11976CLEVELAND-LORAIN-ELYRIA, OH PMSA1680

0.0%0.0 %7COLORADO SPRINGS, CO MSA1720

0.1%0.1 %1753COLUMBIA, MO MSA1740

0.3%0.2 %3336COLUMBIA, SC MSA1760

0.0%0.0 %575COLUMBUS, GA-AL MSA1800

0.4%0.3 %5655COLUMBUS, OH MSA1840

0.1%0.1 %1597CORPUS CHRISTI, TX MSA1880

0.1%0.1 %1126CUMBERLAND, MD-WV MSA1900

0.0%0.0 %180DALLAS, TX PMSA1920

0.0%0.0 %371DANVILLE, VA MSA1950

0.3%0.2 %4345DAVENPORT-MOLINE-ROCK ISLAND, IA-ILMSA1960

0.6%0.4 %7829DAYTON-SPRINGFIELD, OH MSA2000

0.3%0.3 %4496DAYTONA BEACH, FL MSA2020

0.0%0.0 %244DECATUR, AL MSA2030

0.1%0.1 %1377DECATUR, IL MSA2040

0.0%0.0 %31DENVER, CO PMSA2080

0.3%0.2 %3742DES MOINES, IA MSA2120

1.6%1.2 %21680DETROIT, MI PMSA2160

0.0%0.0 %631DOTHAN, AL MSA2180

0.0%0.0 %523DOVER, DE MSA2190

0.2%0.1 %2037DULUTH-SUPERIOR, MN-WI MSA2240

0.5%0.4 %6570DUTCHESS COUNTY, NY PMSA2281

0.1%0.0 %822EAU CLAIRE, WI MSA2290

0.1%0.1 %1898EL PASO, TX MSA2320

0.2%0.1 %1984ERIE, PA MSA2360

0.5%0.3 %6094EUGENE-SPRINGFIELD, OR MSA2400

0.0%0.0 %141EVANSVILLE-HENDERSON, IN-KY MSA2440

0.0%0.0 %518FARGO-MOORHEAD, ND-MN MSA2520

0.1%0.1 %1021FAYETTEVILLE, NC MSA2560

0.1%0.1 %961FAYETTEVILLE-SPRINGDALE-ROGERS, ARMSA

2580

0.5%0.3 %5980FLINT, MI PMSA2640

0.0%0.0 %531FLORENCE, AL MSA2650

0.1%0.1 %1274FLORENCE, SC MSA2655

0.6%0.5 %8003FORT LAUDERDALE, FL PMSA2680

0.2%0.2 %3108FORT MYERS-CAPE CORAL, FL MSA2700

- 3672 -

- 30 -


LabelValue

0.1%0.0 %684FORT PIERCE-PORT ST. LUCIE, FL MSA2710

0.0%0.0 %560FORT SMITH, AR-OK MSA2720

0.1%0.1 %1806FORT WALTON BEACH, FL MSA2750

0.2%0.1 %2337FORT WORTH-ARLINGTON, TX PMSA2800

0.6%0.4 %7404FRESNO, CA MSA2840

0.1%0.1 %948GADSDEN, AL MSA2880

0.1%0.1 %1189GAINESVILLE, FL MSA2900

0.0%0.0 %607GALVESTON-TEXAS CITY, TX PMSA2920

0.1%0.1 %1035GLENS FALLS, NY MSA2975

0.0%0.0 %468GOLDSBORO, NC MSA2980

0.0%0.0 %17GRAND JUNCTION, CO MSA2995

0.6%0.4 %7626GRAND RAPIDS-MUSKEGON-HOLLAND, MIMSA

3000

0.0%0.0 %280GREELEY, CO PMSA3060

0.0%0.0 %134GREEN BAY, WI MSA3080

0.4%0.3 %5727GREENSBORO--WINSTON-SALEM--HIGHPOINT, NC MSA

3120

0.1%0.1 %1330GREENVILLE, NC MSA3150

0.6%0.5 %8228GREENVILLE-SPARTANBURG-ANDERSON,SCMSA

3160

0.1%0.1 %1337HAGERSTOWN, MD PMSA3180

0.1%0.1 %1826HAMILTON-MIDDLETOWN, OH PMSA3200

0.3%0.3 %4379HARRISBURG-LEBANON-CARLISLE, PA MSA3240

1.8%1.3 %23120HARTFORD, CT NECMA3283

0.1%0.0 %717HATTIESBURG, MS MSA3285

0.1%0.1 %1556HICKORY-MORGANTON, NC MSA3290

0.4%0.3 %4645HONOLULU, HI MSA3320

0.1%0.1 %1895HOUMA, LA MSA3350

0.5%0.4 %6145HOUSTON, TX PMSA3360

0.1%0.1 %902HUNTINGTON-ASHLAND, WV-KY-OH MSA3400

0.0%0.0 %553HUNTSVILLE, AL MSA3440

0.1%0.1 %1740INDIANAPOLIS, IN MSA3480

0.1%0.1 %1771IOWA CITY, IA MSA3500

0.1%0.0 %714JACKSON, MI MSA3520

0.2%0.2 %2692JACKSON, MS MSA3560

0.0%0.0 %607JACKSON, TN MSA3580

0.7%0.6 %9727JACKSONVILLE, FL MSA3600

0.0%0.0 %627JACKSONVILLE, NC MSA3605

0.1%0.1 %1228JAMESTOWN, NY MSA3610

0.1%0.1 %1048JANESVILLE-BELOIT, WI MSA3620

0.4%0.3 %5319JERSEY CITY, NJ PMSA3640

- 3672 -

- 31 -


LabelValue

0.1%0.1 %1120JOHNSONCITY-KINGSPORT-BRISTOL, TN-VAMSA

3660

0.1%0.1 %968JOHNSTOWN, PA MSA3680

0.1%0.1 %1658JOPLIN, MO MSA3710

0.2%0.1 %2398KALAMAZOO-BATTLE CREEK, MI MSA3720

0.1%0.1 %936KANKAKEE, IL PMSA3740

0.8%0.6 %10767KANSAS CITY, MO-KS MSA3760

0.0%0.0 %158KENOSHA, WI PMSA3800

0.0%0.0 %127KILLEEN-TEMPLE, TX MSA3810

0.1%0.1 %987KNOXVILLE, TN MSA3840

0.0%0.0 %274LA CROSSE, WI-MN MSA3870

0.1%0.1 %1771LAFAYETTE, LA MSA3880

0.1%0.1 %1518LAKE CHARLES, LA MSA3960

0.0%0.0 %479LAKELAND-WINTER HAVEN, FL MSA3980

0.2%0.1 %2461LANCASTER, PA MSA4000

0.1%0.1 %1516LANSING-EAST LANSING, MI MSA4040

0.0%0.0 %640LAREDO, TX MSA4080

0.1%0.0 %694LAS CRUCES, NM MSA4100

0.5%0.4 %6757LAS VEGAS, NV-AZ MSA4120

0.1%0.1 %880LAWTON, OK MSA4200

0.1%0.0 %746LEXINGTON, KY MSA4280

0.0%0.0 %183LIMA, OH MSA4320

0.1%0.1 %1157LINCOLN, NE MSA4360

0.3%0.2 %3552LITTLE ROCK-NORTH LITTLE ROCK, AR MSA4400

0.0%0.0 %304LONGVIEW-MARSHALL, TX MSA4420

3.7%2.8 %49128LOS ANGELES-LONG BEACH, CA PMSA4480

0.2%0.1 %2133LOUISVILLE, KY-IN MSA4520

0.1%0.1 %1026LUBBOCK, TX MSA4600

0.0%0.0 %23LYNCHBURG, VA MSA4640

0.1%0.1 %1447MACON, GA MSA4680

0.1%0.1 %1830MADISON, WI MSA4720

0.0%0.0 %178MANSFIELD, OH MSA4800

0.1%0.0 %723MCALLEN-EDINBURG-MISSION, TX MSA4880

0.3%0.2 %3643MEDFORD-ASHLAND, OR MSA4890

0.2%0.1 %2169MELBOURNE-TITUSVILLE-PALM BAY, FL MSA4900

0.1%0.1 %1408MEMPHIS, TN-AR-MS MSA4920

0.1%0.1 %1144MERCED, CA MSA4940

0.8%0.6 %10494MIAMI, FL PMSA5000

0.3%0.2 %3961MIDDLESEX-SOMERSET-HUNTERDON, NJPMSA

5015

0.1%0.1 %1252MILWAUKEE-WAUKESHA, WI PMSA5080

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- 32 -


LabelValue

1.9%1.4 %25260MINNEAPOLIS-ST. PAUL, MN-WI MSA5120

0.1%0.1 %1286MOBILE, AL MSA5160

0.2%0.2 %2803MODESTO, CA MSA5170

0.5%0.4 %6724MONMOUTH-OCEAN, NJ PMSA5190

0.1%0.1 %1426MONROE, LA MSA5200

0.2%0.1 %2131MONTGOMERY, AL MSA5240

0.1%0.0 %811MYRTLE BEACH, SC MSA5330

0.1%0.1 %929NAPLES, FL MSA5345

0.1%0.1 %1157NASHVILLE, TN MSA5360

2.4%1.8 %31933NASSAU-SUFFOLK, NY PMSA5380

1.2%0.9 %15990NEWHAVEN-BRIDGEPORT-STAMFORD-WATERBURY-DANBURY,CT NECMA

5483

0.5%0.3 %6117NEW LONDON-NORWICH, CT NECMA5523

0.4%0.3 %5304NEW ORLEANS, LA MSA5560

11.0%8.3 %144794NEW YORK, NY PMSA5600

1.3%0.9 %16521NEWARK, NJ PMSA5640

0.4%0.3 %5156NEWBURGH, NY-PA PMSA5660

0.4%0.3 %5841NORFOLK-VIRGINIABEACH-NEWPORTNEWS,VA-NC MSA

5720

0.9%0.7 %12195OAKLAND, CA PMSA5775

0.0%0.0 %489OCALA, FL MSA5790

0.0%0.0 %409ODESSA-MIDLAND, TX MSA5800

0.3%0.2 %3941OKLAHOMA CITY, OK MSA5880

0.1%0.0 %816OLYMPIA, WA PMSA5910

0.3%0.2 %3917OMAHA, NE-IA MSA5920

1.0%0.7 %12724ORANGE COUNTY, CA PMSA5945

0.6%0.5 %8013ORLANDO, FL MSA5960

0.1%0.1 %1654PANAMA CITY, FL MSA6015

0.3%0.2 %3513PENSACOLA, FL MSA6080

0.1%0.1 %1780PEORIA-PEKIN, IL MSA6120

2.0%1.5 %26239PHILADELPHIA, PA-NJ PMSA6160

0.6%0.4 %7626PITTSBURGH, PA MSA6280

0.2%0.2 %3172PORTLAND, ME NECMA6403

1.7%1.2 %21798PORTLAND-VANCOUVER, OR-WA PMSA6440

0.8%0.6 %11155PROVIDENCE-WARWICK-PAWTUCKET, RINECMA

6483

0.1%0.1 %1507PROVO-OREM, UT MSA6520

0.1%0.0 %691PUNTA GORDA, FL MSA6580

0.0%0.0 %497RACINE, WI PMSA6600

0.3%0.2 %3658RALEIGH-DURHAM-CHAPEL HILL, NC MSA6640

- 3672 -

- 33 -


LabelValue

0.1%0.1 %1883READING, PA MSA6680

0.1%0.1 %1363REDDING, CA MSA6690

0.1%0.1 %1919RENO, NV MSA6720

0.1%0.0 %695RICHLAND-KENNEWICK-PASCO, WA MSA6740

0.2%0.1 %2051RICHMOND-PETERSBURG, VA MSA6760

1.0%0.7 %12497RIVERSIDE-SAN BERNARDINO, CA PMSA6780

0.1%0.1 %1896ROANOKE, VA MSA6800

0.1%0.1 %877ROCHESTER, MN MSA6820

1.4%1.0 %17816ROCHESTER, NY MSA6840

0.2%0.2 %3058ROCKFORD, IL MSA6880

0.1%0.0 %841ROCKY MOUNT, NC MSA6895

0.6%0.4 %7715SACRAMENTO, CA PMSA6920

0.1%0.1 %1581SAGINAW-BAY CITY-MIDLAND, MI MSA6960

0.1%0.1 %1537ST. CLOUD, MN MSA6980

0.1%0.0 %702ST. JOSEPH, MO MSA7000

1.2%0.9 %16162ST. LOUIS, MO-IL MSA7040

0.4%0.3 %5490SALEM, OR PMSA7080

0.1%0.1 %1090SALINAS, CA MSA7120

1.1%0.8 %14470SALT LAKE CITY-OGDEN, UT MSA7160

0.0%0.0 %151SAN ANGELO, TX MSA7200

0.1%0.1 %1759SAN ANTONIO, TX MSA7240

1.3%1.0 %17272SAN DIEGO, CA MSA7320

1.3%0.9 %16471SAN FRANCISCO, CA PMSA7360

0.5%0.4 %6726SAN JOSE, CA PMSA7400

0.0%0.0 %616SAN LUIS OBISPO-ATASCADERO-PASOROBLES, CA MSA

7460

0.2%0.1 %2600SANTABARBARA-SANTAMARIA-LOMPOC,CAMSA

7480

0.1%0.1 %1631SANTA CRUZ-WATSONVILLE, CA PMSA7485

0.2%0.1 %2186SANTA FE, NM MSA7490

0.6%0.4 %7753SANTA ROSA, CA PMSA7500

0.1%0.1 %1713SARASOTA-BRADENTON, FL MSA7510

0.0%0.0 %52SAVANNAH, GA MSA7520

0.3%0.2 %4190SCRANTON--WILKES-BARRE--HAZLETON, PAMSA

7560

0.7%0.5 %9322SEATTLE-BELLEVUE-EVERETT, WA PMSA7600

0.0%0.0 %471SHARON, PA MSA7610

0.0%0.0 %302SHEBOYGAN, WI MSA7620

0.2%0.2 %2980SHREVEPORT-BOSSIER CITY, LA MSA7680

0.1%0.1 %1418SIOUX CITY, IA-NE MSA7720

0.2%0.2 %2882SIOUX FALLS, SD MSA7760

- 3672 -

- 34 -


LabelValue

0.2%0.1 %2370SPOKANE, WA MSA7840

0.1%0.1 %1531SPRINGFIELD, IL MSA7880

0.3%0.2 %3519SPRINGFIELD, MO MSA7920

0.6%0.4 %7686SPRINGFIELD, MA NECMA8003

0.0%0.0 %291STATE COLLEGE, PA MSA8050

0.2%0.2 %2651STOCKTON-LODI, CA MSA8120

0.1%0.1 %882SUMTER, SC MSA8140

0.8%0.6 %10451SYRACUSE, NY MSA8160

0.2%0.2 %2641TACOMA, WA PMSA8200

0.1%0.1 %1592TALLAHASSEE, FL MSA8240

0.6%0.4 %7856TAMPA-ST. PETERSBURG-CLEARWATER, FLMSA

8280

0.1%0.0 %666TEXARKANA, TX-TEXARKANA, AR MSA8360

0.0%0.0 %73TOLEDO, OH MSA8400

0.1%0.1 %1696TOPEKA, KS MSA8440

0.1%0.1 %1495TRENTON, NJ PMSA8480

0.2%0.2 %3080TULSA, OK MSA8560

0.1%0.0 %734TUSCALOOSA, AL MSA8600

0.0%0.0 %129TYLER, TX MSA8640

0.3%0.2 %4305UTICA-ROME, NY MSA8680

0.1%0.1 %1602VALLEJO-FAIRFIELD-NAPA, CA PMSA8720

0.2%0.2 %2994VENTURA, CA PMSA8735

0.2%0.1 %2149VINELAND-MILLVILLE-BRIDGETON, NJ PMSA8760

0.1%0.1 %1778VISALIA-TULARE-PORTERVILLE, CA MSA8780

0.1%0.0 %723WACO, TX MSA8800

2.0%1.5 %26643WASHINGTON, DC-MD-VA-WV PMSA8840

0.2%0.1 %2246WATERLOO-CEDAR FALLS, IA MSA8920

0.0%0.0 %649WAUSAU, WI MSA8940

0.4%0.3 %5507WEST PALM BEACH-BOCA RATON, FL MSA8960

0.0%0.0 %555WHEELING, WV-OH MSA9000

0.4%0.3 %4744WICHITA, KS MSA9040

0.0%0.0 %440WICHITA FALLS, TX MSA9080

0.0%0.0 %547WILLIAMSPORT, PA MSA9140

0.5%0.3 %6107WILMINGTON-NEWARK, DE-MD PMSA9160

0.1%0.1 %1058WILMINGTON, NC MSA9200

0.2%0.2 %2784YAKIMA, WA MSA9260

0.1%0.1 %1396YOLO, CA PMSA9270

0.1%0.0 %810YORK, PA MSA9280

0.1%0.0 %789YOUNGSTOWN-WARREN, OH MSA9320

0.1%0.0 %771YUBA CITY, CA MSA9340

- 3672 -

- 35 -


LabelValue

-24.8 %434635UNDESIGNATEDAREA/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)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

32.8%32.8 %573527NORTHEAST1

21.3%21.3 %372145MIDWEST2

23.0%23.0 %402466SOUTH3

23.0%23.0 %401588WEST4


CENSUS DIVISIONDIVISION



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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.

- 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

8.9%8.9 %156138NEW ENGLAND1

23.9%23.9 %417389MID-ATLANTIC2

13.0%13.0 %227971EAST NORTH CENTRAL3

8.2%8.2 %144174WEST NORTH CENTRAL4

15.1%15.1 %265011SOUTH ATLANTIC5

3.0%3.0 %53214EAST SOUTH CENTRAL6

4.8%4.8 %84241WEST SOUTH CENTRAL7

7.0%7.0 %123042MOUNTAIN8

15.9%15.9 %278546PACIFIC9


SERVICE SETTING AT ADMISSIONSERVSETA

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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 otherdrug 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

4.9%4.9 %85202DETOX, 24 HR, HOSPITAL INPATIENT1

17.2%17.2 %300630DETOX, 24HR, FREE-STANDINGRESIDENTIAL2

1.0%1.0 %16981REHAB/RES, HOSPITAL (NON-DETOX)3

8.0%8.0 %139835REHAB/RES, SHORT TERM (30 DAYS ORFEWER)

4

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- 38 -


LabelValue

8.0%8.0 %140298REHAB/RES, LONG TERM (MORE THAN 30DAYS)

5

9.3%9.3 %162409AMBULATORY, INTENSIVE OUTPATIENT6

48.7%48.7 %851875AMBULATORY, NON-INTENSIVE OUTPATIENT.7

3.0%3.0 %52255AMBULATORY, DETOXIFICATION8



MEDICATION-ASSISTED OPIOID THERAPYMETHUSE




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

Question:


LabelValue

6.6%6.4 %111330YES1

93.4%89.5 %1565717NO2



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: 28.88• Median: 0.00• Mode: 0.00• Minimum: 0.00• Maximum: 996.00

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- 39 -

• Standard Deviation: 154.61

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 otherdrug 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).

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- 40 -


LabelValue

35.3%34.2 %597872INDIVIDUAL (INCLUDES SELF-REFERRAL)1

11.7%11.4 %199142ALCOHOL/DRUG ABUSE CARE PROVIDER2

7.4%7.2 %126033OTHER HEALTH CARE PROVIDER3

1.0%1.0 %17463SCHOOL (EDUCATIONAL)4

1.0%1.0 %16853EMPLOYER/EAP5

8.8%8.5 %149004OTHER COMMUNITY REFERRAL6

34.8%33.7 %589573COURT/CRIMINAL JUSTICE REFERRAL / DUI/ DWI

7



DETAILED CRIMINAL JUSTICE REFERRALDETCRIM




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

18.7%3.4 %59510STATE/FEDERAL COURT, OTHER COURT1

46.5%8.4 %147614PROBATION/PAROLE3

3.3%0.6 %10584DIVERSIONARY PROGRAM5

5.1%0.9 %16112PRISON6

- 3672 -

- 41 -


LabelValue

9.2%1.7 %29090DUI/DWI7

17.2%3.1 %54794OTHER 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 bederived from the State data system, if the system hasthat capability, and episodes can be counted for atleast several years.


LabelValue

43.8%36.9 %645455NO PRIOR TREATMENT EPISODES0

21.9%18.5 %3232161 PRIOR TREATMENT EPISODES1




12.2%10.3 %1803235 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

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- 42 -

(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.

(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

0.9%0.9 %15279NONE1

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- 43 -


LabelValue

47.0%46.3 %810927ALCOHOL2

13.8%13.6 %238080COCAINE/CRACK3

14.5%14.3 %249388MARIJUANA/HASHISH4

15.7%15.4 %269891HEROIN5

0.1%0.1 %1860NON-PRESCRIPTION METHADONE6

1.5%1.5 %26466OTHER OPIATES AND SYNTHETICS7

0.2%0.2 %2835PCP8

0.2%0.2 %3118OTHER HALLUCINOGENS9

3.7%3.7 %64273METHAMPHETAMINE10

0.9%0.9 %15670OTHER AMPHETAMINES11

0.1%0.1 %1234OTHER STIMULANTS12

0.3%0.3 %5748BENZODIAZEPINES13

0.1%0.0 %869OTHER NON-BENZODIAZEPINETRANQUILIZERS

14

0.1%0.1 %1240BARBITURATES15

0.1%0.1 %2403OTHER NON-BARBITURATE SEDATIVES ORHYPNOTICS

16

0.1%0.1 %1285INHALANTS17

0.0%0.0 %763OVER-THE-COUNTER MEDICATIONS18

0.7%0.7 %12331OTHER20



USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1




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


LabelValue

50.8%47.2 %826600ORAL1

27.8%25.8 %451989SMOKING2

8.7%8.1 %142080INHALATION3

11.9%11.1 %193636INJECTION (IV OR INTRAMUSCULAR)4

0.8%0.7 %12589OTHER20



FREQUENCY OF USE (PRIMARY)FREQ1



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- 44 -


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


LabelValue

24.2%22.2 %389247NO USE IN THE PAST MONTH1

11.3%10.3 %1810491-3 TIMES IN THE PAST MONTH2

8.9%8.2 %1429331-2 TIMES IN THE PAST WEEK3


45.0%41.4 %724136DAILY5



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:


LabelValue

9.9%8.4 %14663411 AND UNDER1

22.6%19.1 %33474112-142

28.7%24.3 %42559215-173

16.0%13.6 %23722018-204

8.4%7.2 %12516221-245

6.5%5.5 %9636025-296

3.8%3.2 %5666530-347

2.3%1.9 %3343935-398

1.1%0.9 %1589240-449

0.4%0.4 %639245-4910

0.2%0.1 %244250-5411

0.1%0.1 %159355 AND OVER12



SUBSTANCE PROBLEM CODE (SECONDARY)SUB2




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

(1) NONE

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- 45 -

(2) ALCOHOL

(3) COCAINE/CRACK


(5) HEROIN














(20) OTHER: Includes diphenylhydantoin/phenytoin, GHB/GBL,ketamine, etc.

- 3672 -

- 46 -


LabelValue

37.1%31.4 %549691NONE1

19.9%16.9 %294932ALCOHOL2

16.3%13.8 %241300COCAINE/CRACK3


2.5%2.1 %37583HEROIN5



0.2%0.2 %2667PCP8







14



16

0.1%0.1 %1101INHALANTS17


0.5%0.4 %7432OTHER20



USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2




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


LabelValue

37.7%19.6 %342157ORAL1

43.7%22.6 %396144SMOKING2

9.6%5.0 %86653INHALATION3


2.1%1.1 %18919OTHER20



FREQUENCY OF USE (SECONDARY)FREQ2


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- 47 -



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


LabelValue





29.3%15.4 %269281DAILY5



AGE AT FIRST USE (SECONDARY)FRSTUSE2




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

15.6%7.6 %13245811 AND UNDER1

21.7%10.6 %18519712-142

26.3%12.8 %22377715-173

14.3%6.9 %12152318-204

7.6%3.7 %6455221-245

6.3%3.0 %5327425-296

3.9%1.9 %3290230-347

2.4%1.2 %2086835-398

1.2%0.6 %1047840-449

0.5%0.3 %442145-4910

0.2%0.1 %154050-5411

0.1%0.0 %82355 AND OVER12



SUBSTANCE PROBLEM CODE (TERTIARY)SUB3




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

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- 48 -

(1) NONE

(2) ALCOHOL

(3) COCAINE/CRACK


(5) HEROIN














(20) OTHER: Includes diphenylhydantoin/phenytoin, GHB/GBL,

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- 49 -

ketamine, etc.


LabelValue

72.7%53.5 %935498NONE1

6.7%4.9 %86536ALCOHOL2

5.7%4.2 %73059COCAINE/CRACK3


1.2%0.9 %15258HEROIN5



0.2%0.1 %2258PCP8







14



16

0.1%0.1 %1664INHALANTS17


0.6%0.4 %7278OTHER20



USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3




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


LabelValue

35.1%6.4 %112590ORAL1

38.4%7.0 %123206SMOKING2

12.9%2.4 %41325INHALATION3


7.9%1.4 %25245OTHER20



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- 50 -

FREQUENCY OF USE (TERTIARY)FREQ3




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


LabelValue





19.8%4.0 %70410DAILY5



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

30.8%7.2 %12614811 AND UNDER1

18.6%4.3 %7594412-142

22.4%5.2 %9156015-173

11.8%2.8 %4843818-204

5.9%1.4 %2416621-245

4.6%1.1 %1893425-296

2.8%0.7 %1146030-347

1.7%0.4 %689835-398

0.8%0.2 %346340-449

0.3%0.1 %135045-4910

0.1%0.0 %43050-5411

0.0%0.0 %17355 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:

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- 51 -


Value

2.3%2.3 %400520

44.1%44.1 %7713511

33.9%33.9 %5931102

19.7%19.7 %3452133


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:


LabelValue

86.4%84.5 %1477784NO IDU REPORTED0

13.6%13.3 %231911IDU REPORTED1

-2.3 %40031NO 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

31.9%31.9 %558689SUBSTANCE NOT REPORTED0

68.1%68.1 %1191037SUBSTANCE 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

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- 52 -



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



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

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- 53 -



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



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

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- 54 -



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



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

- 3672 -

- 55 -



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



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

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- 56 -



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

2.3%2.3 %40052NONE0

25.9%25.9 %453120ALCOHOL ONLY1

29.6%29.6 %518637OTHER DRUGS ONLY2

42.2%42.2 %737917ALCOHOL AND OTHER DRUGS3


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

4.1%1.1 %19450NO DIAGNOSIS0

1.2%0.3 %5767ALCOHOL-INDUCED DISORDER1

1.2%0.3 %5898SUBSTANCE-INDUCED DISORDER2

8.5%2.3 %40807ALCOHOL INTOXICATION3

24.4%6.6 %116289ALCOHOL DEPENDENCE4

14.7%4.0 %70164OPIOID DEPENDENCE5

9.5%2.6 %45144COCAINE DEPENDENCE6

7.1%1.9 %33973CANNABIS DEPENDENCE7

5.9%1.6 %28219OTHER SUBSTANCE DEPENDENCE8

10.9%3.0 %52151ALCOHOL ABUSE9

5.0%1.4 %23746CANNABIS ABUSE10

0.8%0.2 %3853OTHER SUBSTANCE ABUSE11

0.3%0.1 %1251OPIOID ABUSE12

1.1%0.3 %5126COCAINE ABUSE13

0.3%0.1 %1200ANXIETY DISORDERS14

- 3672 -

- 57 -


LabelValue

0.9%0.3 %4387DEPRESSIVE DISORDERS15

0.4%0.1 %1959SCHIZOPHRENIA / OTHER PSYCHOTICDISORDERS

16

0.4%0.1 %1770BIPOLAR DISORDERS17

0.2%0.1 %1015ATTENTIONDEFICIT / DISRUPTIVE BEHAVIORDISORDERS

18

0.5%0.1 %2593OTHER MENTAL HEALTH CONDITION19

2.6%0.7 %12522OTHER CONDITION20



PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEMPSYPROB




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

Question:


LabelValue

18.1%11.8 %205595YES1

81.9%53.0 %927420NO2



HEALTH INSURANCEHLTHINS




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

Question:


LabelValue

12.1%5.9 %102690PRIVATE INSURANCE, BC/BS, HMO1

13.8%6.7 %117105MEDICAID2

7.8%3.8 %65816MEDICARE,OTHER (E.G. TRICARE,CHAMPUS)3

66.3%32.1 %561310NONE4



EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY


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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

28.5%8.6 %150888SELF-PAY1

8.3%2.5 %43981BLUE CROSS/BLUE SHIELD, OTHER HEALTHINSURANCE COMPANIES

2

1.1%0.3 %5789MEDICARE, WORKER'S COMPENSATION3

13.0%3.9 %68603MEDICAID4

29.1%8.8 %154099OTHER GOVERNMENT PAYMENTS5

13.0%3.9 %68657NO CHARGE (FREE, CHARITY, SPECIALRESEARCH, TEACHING)

8

7.0%2.1 %36841OTHER9



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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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Variable Source3 Type Len Start End Label

FREQ2 MDS Num 2 77 78 FREQUENCY OF USE (SECONDARY)

FREQ3 MDS Num 2 85 86 FREQUENCY OF USE (TERTIARY)

FRSTUSE1 MDS Num 2 71 72 AGE AT FIRST USE (PRIMARY)

FRSTUSE2 MDS Num 2 79 80 AGE AT FIRST USE (SECONDARY)

FRSTUSE3 MDS Num 2 87 88 AGE AT FIRST USE (TERTIARY)

GENDER MDS Num 2 15 16 SEX

HALLFLG Added Num 1 100 100 OTHER HALLUCINOGENS REPORTED AT ADM.

HERFLG Added Num 1 96 96 HEROIN REPORTED AT ADM.

HLTHINS SuDS Num 2 117 118 HEALTH INSURANCE

IDU Added Num 2 91 92 CURRENT IV DRUG USE REPORTED AT ADM.

INHFLG Added Num 1 108 108 INHALANTS REPORTED AT ADM.

LIVARAG SuDS Num 2 33 34 LIVING ARRANGEMENT

MARFLG Added Num 1 95 95 MARIJUANA/HASHISH REPORTED AT ADM.

MARSTAT SuDS Num 2 21 22 MARITAL STATUS

METHFLG Added Num 1 97 97 NON-RX METHADONE REPORTED AT ADM.

METHUSE MDS Num 2 54 55 MEDICATION-ASSISTED OPIOID THERAPY

MTHAMFLG Added Num 1 101 101 METHAMPHETAMINE REPORTED AT ADM.

NOPRIOR MDS Num 2 63 64 NUMBER OF PRIOR TREATMENT EPISODES

NUMSUBS Added Num 2 89 90 NUMBER OF SUBSTANCES REPORTED AT ADM.

OPSYNFLG Added Num 1 98 98 OTHER OPIATES/SYNTHETICS REPORTED AT ADM.

OTCFLG Added Num 1 109 109 OVER-THE-COUNTER MEDICATION REPORTED AT ADM.

OTHERFLG Added Num 1 110 110 OTHER DRUG REPORTED AT ADM.

PCPFLG Added Num 1 99 99 PCP REPORTED AT ADM.

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Variable Source3 Type Len Start End Label

PMSA Added Num 4 44 47 FIPS 1990 MSA CODE

PREG SuDS Num 2 29 30 PREGNANT AT TIME OF ADMISSION

PRIMINC SuDS Num 2 35 36 SOURCE OF INCOME/SUPPORT

PRIMPAY SuDS Num 2 119 120 EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENT

PSOURCE MDS Num 2 59 60 PRINCIPAL SOURCE OF REFERRAL

PSYPROB SuDS Num 2 115 116 PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEM

RACE MDS Num 2 17 18 RACE

REGION Added Num 2 48 49 CENSUS REGION

ROUTE1 MDS Num 2 67 68 USUAL ROUTE OF ADMINISTRATION (PRIMARY)

ROUTE2 MDS Num 2 75 76 USUAL ROUTE OF ADMINISTRATION (SECONDARY)

ROUTE3 MDS Num 2 83 84 USUAL ROUTE OF ADMINISTRATION (TERTIARY)

SEDHPFLG Added Num 1 107 107 OTHER NON-BARBITURATE SEDATIVES/HYPNOTICS REPORTED AT ADM.

SERVSETA MDS Num 2 52 53 SERVICE SETTING AT ADMISSION

STFIPS Added Num 2 37 38 CENSUS STATE FIPS CODE

STIMFLG Added Num 1 103 103 OTHER STIMULANTS REPORTED AT ADM.

SUB1 MDS Num 2 65 66 SUBSTANCE PROBLEM CODE (PRIMARY)

SUB2 MDS Num 2 73 74 SUBSTANCE PROBLEM CODE (SECONDARY)

SUB3 MDS Num 2 81 82 SUBSTANCE PROBLEM CODE (TERTIARY)

TRNQFLG Added Num 1 105 105 OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTED AT ADM.

VET SuDS Num 2 31 32 VETERAN STATUS

YEAR Added Num 4 9 12 YEAR OF ADMISSION

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APPENDIX B Variable Recode Table

Variable Original Codes (original percentage) Recodes AGE Age (Recoded)

Continuous (12-99)

12-14 15-17 18-20 21-24 25-29 30-34 35-39 40-44 45-49 50-54 55 and Over

MARSTAT Marital Status

1 Never Married (56.6%) 2 Now Married (17.1%) 3 Separated (7.1%) 4 Divorced (17.4%) 5 Widowed (1.7%)

1 Never Married 2 Now Married 3 Separated 4 Divorced, Widowed

EDUC Education

Continuous 0-25

1 8 Years or Less 2 9-11 3 12 4 13-15 5 16 or More

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Variable Original Codes (original percentage) Recodes DETNLF Detailed ‘Not in Labor’ Force

1 Homemaker (3.4%) 2 Student (24.0%) 3 Retired (2.8%) 4 Disabled (20.0%) 5 Inmate of Institution (9.1%) 6 Other (40.8%)

1 Homemaker 2 Student 3 Retired, Disabled 5 Inmate of Institution 6 Other

PRIMINC Source of Income / Support

1 Wages/Salary (36.8%) 2 Public Assistance (10.0%) 3 Retirement/Pension (<1%) 4 Disability (4.1%) 20 Other (21.2%) 21 None (27.1%)

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 (16.7%) 2 Other Court (2.0%) 3 Probation/Parole (46.5%) 4 Other Recognized Legal Entity (12.8%) 5 Diversionary Program (3.3%) 6 Prison (5.1%) 7 DUI/DWI (9.2%) 8 Other (4.4%)

1 State/Federal Court, Other Court 3 Probation/Parole 5 Diversionary Program 6 Prison 7 DUI/DWI 8 Other Recognized Legal Entity, Other

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Variable Original Codes (original percentage) Recodes HLTHINS Health Insurance

1 Private Insurance (Other Than BC/BS or HMO) (6.1%) 2 Blue Cross / Blue Shield (BC/BS) (2.0%) 3 Medicare (1.7%) 4 Medicaid (13.8%) 6 Health Maintenance Organization (HMO) (4.0%) 20 Other (e.g. TriCare, Champus) (6.1%) 21 None (66.3%)

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 (28.5%) 2 Blue Cross / Blue Shield (2.0%) 3 Medicare (1.0%) 4 Medicaid (13.0%) 5 Other Government Payments (29.1%) 6 Worker’s Compensation (<1%) 7 Other Health Insurance Companies (6.3%) 8 No charge (Free, Charity, Special Research or Teaching) (13.0%) 9 Other (7.0%)

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 2000 "Y" = Collected, "--" = Not collected Based on administrative data reported to TEDS by 49 reporting States, and the District of Columbia; West Virginia, and Puerto Rico did not report any data; Revised per 10/10/11 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 -- Y Y Y Y Y Y Y Y Y Y Y -- Y -- Y -- Y -- Y Y Y

ARKANSAS Y 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

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 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 Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

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 2000 "Y" = Collected, "--" = Not collected Based on administrative data reported to TEDS by 49 reporting States, and the District of Columbia; West Virginia, and Puerto Rico did not report any data; Revised per 10/10/11 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

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

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 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --

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 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 Y

WEST VIRGINIA -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --

WISCONSIN Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

WYOMING Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

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APPENDIX D: STATE REPORTING OF TEDS SUPPLEMENTAL DATA SET VARIABLES

Items collected/not-collected by State: TEDS Supplemental Data Set 2000 "Y" = Collected, "--" = Not collected Based on administrative data reported to TEDS by 49 reporting States, and the District of Columbia; West Virginia, and Puerto Rico did not report any data; Revised per 10/10/11 data extract

State or jurisdiction DSM

diagnosis Psychiatric

problem Pregnant Veteran

Living arrange-

ment Income source

Health insurance

Payment source

Detailed not-in-labor-

force

Detailed criminal justice referral

Marital status

Days waiting for treatment

ALL ADMISSIONS Y Y Y Y Y Y Y Y Y Y Y Y

ALABAMA Y Y Y Y Y Y -- Y Y -- Y --

ALASKA Y Y Y Y Y Y Y Y Y Y Y Y

ARIZONA Y -- Y Y Y Y Y Y -- Y Y Y

ARKANSAS Y Y Y Y Y Y Y Y -- -- Y Y

CALIFORNIA -- Y Y Y Y -- -- -- -- Y -- Y

COLORADO Y Y Y Y Y Y Y Y Y Y Y Y

CONNECTICUT Y -- Y 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

GEORGIA -- 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 Y Y Y Y Y Y Y Y Y Y Y --

LOUISIANA Y Y Y Y Y Y -- Y Y -- Y Y

MAINE -- Y Y Y Y Y Y Y Y -- Y Y

MARYLAND -- 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 --

MISSISSIPPI Y Y Y Y Y Y Y Y Y Y Y Y

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Items collected/not-collected by State: TEDS Supplemental Data Set 2000 "Y" = Collected, "--" = Not collected Based on administrative data reported to TEDS by 49 reporting States, and the District of Columbia; West Virginia, and Puerto Rico did not report any data; Revised per 10/10/11 data extract

State or jurisdiction DSM

diagnosis Psychiatric

problem Pregnant Veteran

Living arrange-

ment Income source

Health insurance

Payment source

Detailed not-in-labor-

force

Detailed criminal justice referral

Marital status

Days waiting for treatment

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

NEVADA 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

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 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 -- Y Y Y Y --

SOUTH CAROLINA Y Y 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 -- -- Y -- Y --

TEXAS -- -- Y -- Y Y Y -- Y Y Y Y

UTAH Y Y Y Y Y Y Y Y Y Y Y Y

VERMONT Y -- Y -- Y -- -- Y -- -- -- --

VIRGINIA Y Y Y Y Y Y -- Y Y -- Y --

WASHINGTON -- Y Y Y Y -- -- -- Y -- Y --

WEST VIRGINIA -- -- -- -- -- -- -- -- -- -- -- --

WISCONSIN -- -- Y -- -- -- -- -- -- -- -- --

WYOMING Y Y Y Y Y Y Y -- Y Y Y Y

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

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