DATA QUALITY PROJECT...JNET ERII PA SAVIN PSP NCIC AOPC PBPP DOC PCS Data Source(s): PSP: Captured...

i

BEST PRACTICES

TECHNICAL USER MANUAL

FOR DATA ENTRY

INTO COUNTY CRIMINAL JUSTICE RECORDS SYSTEMS

DATA QUALITY PROJECT

October 2010

v. 3.0

ii

TOOLKIT VERSION HISTORY

3.0 10/01/10 Country code updated in Place of Birth table to reflect 3 digit country code per NIEM 2.0 and JNET standards. Supervision types updated to reflect D statuses.

2.2 Previous

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TABLE OF CONTENTS

ALPHABETICAL LISTING OF DATA ELEMENTS ........................................................................ v INTRODUCTION .......................................................................................................................... viii PERSON NAME PREFIX ................................................................................................................ 1 PERSON SURNAME (LAST NAME) .............................................................................................. 1 PERSON GIVEN NAME (FIRST NAME) ........................................................................................ 2 PERSON MIDDLE NAME ............................................................................................................... 2 PERSON MAIDEN NAME ............................................................................................................... 3 PERSON NAME SUFFIX ................................................................................................................ 3 ALIAS LAST NAME ........................................................................................................................ 4 ALIAS FIRST NAME ....................................................................................................................... 5 ALIAS MIDDLE NAME ................................................................................................................... 5 PERSON NICKNAME ..................................................................................................................... 6 PERSON BIRTH DATE ................................................................................................................... 6 PERSON EYE COLOR TEXT ......................................................................................................... 7 PERSON EYE COLOR CODE ........................................................................................................ 8 PERSON HAIR COLOR TEXT ....................................................................................................... 8 PERSON HAIR COLOR CODE ...................................................................................................... 9 PERSON HEIGHT ......................................................................................................................... 10 PERSON WEIGHT ........................................................................................................................ 10 PERSON RACE TEXT .................................................................................................................. 11 PERSON RACE CODE ................................................................................................................. 12 PERSON ETHNICITY TEXT ......................................................................................................... 12 PERSON ETHNICITY CODE ........................................................................................................ 13 PERSON SEX TEXT ..................................................................................................................... 13 PERSON SEX CODE .................................................................................................................... 14 PERSON RELIGION TEXT ........................................................................................................... 15 PERSON RELIGION CODE .......................................................................................................... 15 PERSON STATE FINGERPRINT IDENTIFICATION (SID) .......................................................... 16 CHARGE TRACKING IDENTIFICATION (OFFENSE TRACKING NUMBER / OTN) ................. 17 PERSON SSN IDENTIFICATION (SOCIAL SECURITY NUMBER) ............................................ 18 ALIAS SOCIAL SECURITY NUMBER (SSN) .............................................................................. 18 PERSON U.S. CITIZEN INDICATOR ........................................................................................... 19 ADDRESS TYPE ........................................................................................................................... 19 ADDRESS LINE 1 (BUILDING/APARTMENT/UNIT) ................................................................... 20 ADDRESS LINE 2 (STREET) ....................................................................................................... 21 CITY NAME ................................................................................................................................... 21 STATE CODE ................................................................................................................................ 22 POSTAL CODE (ZIP CODE) ........................................................................................................ 24 POSTAL EXTENSION CODE (ZIP CODE EXTENSION) ........................................................... 24 BOOKING DOCUMENT CONTROL IDENTIFICATION NUMBER (PIN) .................................... 25 CONVICTION COURT NAME TEXT ............................................................................................ 25 CONVICTION COURT NAME CODE ........................................................................................... 27 CONFINEMENT LOCATION NAME ............................................................................................. 29 CHARGE TRACKING IDENTIFICATION (OFFENSE TRACKING NUMBER - OTN) ................. 33 CHARGE SEQUENCE ID ............................................................................................................. 33 CHARGE STATUTE TITLE .......................................................................................................... 34 CHARGE STATUTE SECTION .................................................................................................... 34 CHARGE STATUTE SUBSECTION ............................................................................................. 35 CHARGE DEGREE ....................................................................................................................... 35 CHARGE SEVERITY LEVEL ........................................................................................................ 36 CHARGE GRADE ......................................................................................................................... 37 CHARGE APPLICABILITY TEXT (INCOHATE CHARGE) ......................................................... 38 CASE DOCKET ID ........................................................................................................................ 38 JUDGE OFFICIAL TYPE .............................................................................................................. 39

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SENTENCE DATE ........................................................................................................................ 39 PRESENTENCE INVESTIGATION INDICATOR (PSI) ................................................................ 40 SENTENCE EFFECTIVE DATE ................................................................................................... 40 SENTENCE TERM MINIMUM ....................................................................................................... 41 SENTENCE TERM MAXIMUM ..................................................................................................... 41 CONDITIONAL RELEASE PROJECTED DATE (MINIMUM RELEASE DATE) ......................... 42 SENTENCE EXPIRATION DATE (MAXIMUM RELEASE DATE) ............................................... 42 DETAINER STATUS ..................................................................................................................... 43 ARREST APPREHENSION DETENTION ORDER (DETAINER) ................................................ 43 COURT ORDER SUPERVISING AGENCY NAME TEXT ............................................................ 44 COURT ORDER SUPERVISING AGENCY CODE ...................................................................... 47 SUPERVISION TYPE TEXT ......................................................................................................... 49 SUPERVISION TYPE CODE ........................................................................................................ 50 SUPERVISION PERSON STATUS TEXT .................................................................................... 50 SUPERVISION PERSON STATUS CODE ................................................................................... 51 DATE OF ADDITION TO SUPERVISION ..................................................................................... 52 WEAPON TEXT ............................................................................................................................ 52 WEAPON CODE ........................................................................................................................... 53 PERSON BIRTH PLACE CODE (PERSON NATIONALITY / COUNTRY OF BIRTH) ................ 55 SPECIAL THANKS AND END NOTES ........................................................................................ 61

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ALPHABETICAL LISTING OF DATA ELEMENTS

A ADDRESS LINE 1 (BUILDING/APARTMENT/UNIT)

ADDRESS LINE 2 (STREET)

ADDRESS TYPE

ALIAS FIRST NAME

ALIAS LAST NAME

ALIAS MIDDLE NAME

ALIAS SSN

ARREST APPREHENSION DETENTION ORDER (DETAINER / WARRANT)

B BIRTH DATE

BIRTH PLACE (PERSON NATIONALITY / COUNTRY OF BIRTH)

BOOKING DOCUMENT CONTROL IDENTIFICATION NUMBER (PIN)

BUILDING/APARTMENT/UNIT (ADDRESS LINE 1)

C CASE DOCKET ID

CHARGE APPLICABILITY TEXT (INCOHATE CHARGE)

CHARGE DEGREE

CHARGE GRADE

CHARGE SEQUENCE ID

CHARGE SEVERITY LEVEL

CHARGE STATUTE SECTION

CHARGE STATUTE SUBSECTION

CHARGE STATUTE TITLE

CHARGE TRACKING IDENTIFICATION (OFFENSE TRACKING NUMBER / OTN)

CITY NAME

CORRECTIONAL FACILITY (CONFINEMENT LOCATION NAME) CONDITIONAL RELEASE PROJECTED DATE (MINIMUM RELEASE DATE)

CONFINEMENT LOCATION NAME (CORRECTIONAL FACILITY)

CONVICTION COURT NAME

COUNTRY OF BIRTH (BIRTH PLACE / PERSON NATIONALITY) COURT ORDER SUPERVISING AGENCY NAME

D DATE OF ADDITION TO SUPERVISION DETAINER / WARRANT (ARREST APPREHENSION DETENTION ORDER). DETAINER STATUS

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E ETHNICITY EYE COLOR F FIRST NAME (GIVEN NAME) G GIVEN NAME (FIRST NAME) H HAIR COLOR HEIGHT I INCOHATE CHARGE (CHARGE APPLICABILITY TEXT) JKL JUDGE OFFICIAL TYPE M MAIDEN NAME MAXIMUM RELEASE DATE (SENTENCE EXPIRATION DATE) MIDDLE NAME MINIMUM RELEASE DATE (CONDITIONAL RELEASE PROJECTED DATE) N NATIONALITY (BIRTH PLACE / COUNTRY OF BIRTH) NICKNAME O OFFENSE TRACKING NUMBER (OTN) / CHARGE TRACKING IDENTIFICATION. OTN (CHARGE TRACKING IDENTIFICATION / OFFENSE TRACKING NUMBER) PQ PERSON NATIONALITY (BIRTH PLACE / COUNTRY OF BIRTH) PIN (BOOKING DOCUMENT CONTROL IDENTIFICATION NUMBER) POSTAL CODE (ZIP CODE) POSTAL EXTENSION CODE (ZIP CODE EXTENSION) PREFIX PRESENTENCE INVESTIGATION INDICATOR (PSI) R RACE RELIGION

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S SENTENCE DATE SENTENCE EFFECTIVE DATE SENTENCE EXPIRATION DATE (MAXIMUM RELEASE DATE) SENTENCE TERM MAXIMUM SENTENCE TERM MINIMUM SEX SOCIAL SECURITY NUMBER (SSN) STATE CODE STATE FINGERPRINT IDENTIFICATION (SID) STREET (ADDRESS LINE 2) SUFFIX SUPERVISION PERSON STATUS SUPERVISION TYPE SURNAME (LAST NAME) TUV U.S. CITIZEN INDICATOR W WARRANT / DETAINER (ARREST APPREHENSION DETENTION ORDER) WEAPON WEIGHT XYZ ZIP CODE (POSTAL CODE) ZIP CODE EXTENSION (ZIP + 4 / POSTAL EXTENSION CODE)

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INTRODUCTION The County Commissioners Association of Pennsylvania (CCAP), in conjunction with the County Chief Adult Probation and Parole Officers’ Association and the Pennsylvania District Attorneys Institute, received grant funding to improve the quality of information collected within the local criminal justice record keeping system. The grant provides for CCAP to develop a method for Pennsylvania to improve the quality of information collected within the local criminal justice automated records systems.

This “Best Practices User Manual for Data Entry into County Criminal Justice Records Systems” has been developed as part of this grant and is based on the National Information Exchange Model (NIEM) version 2.0. The NIEM is the result of a collaborative effort by the justice and homeland security domains to produce a set of common, consistent and well-defined data elements to be used for data exchange. NIEM was designed to be used as a consistent baseline for exchanging information within and across local, state, federal and tribal agencies.

Through consulting with Pennsylvania county and state criminal justice subject matter experts, the data elements listed within this manual were determined to be the critical core set of data elements common across these agencies. This manual is intended to provide the criminal justice practitioner with a reference guide to entering this information in a standard and consistent manner, ultimately improving the quality of information within the local records management system.

It is anticipated that counties involved with standardizing the information entered into their local records management systems, following the NIEM guidelines, will benefit through:

1. INCREASED REPORTING ACCURACY: The more consistently, accurately and more standardized the data entered within records management system(s), the more meaningful the reports will be for county administrators. Effective management and planning can only be achieved with accurate reports.

2. IMPROVED ELECTRONIC REPORTING: Counties are increasingly being required to electronically report and to transfer criminal justice information. However, the ability to successfully transfer meaningful and accurate information is hindered by differences in how and what data is entered in the records management systems.

3. STANDARDS-BASED INFORMATION SHARING: Standards-based information sharing can also mean quicker access to and better understanding of data that crosses system, agency and jurisdiction borders. This means that individuals will not have to reenter the same data multiple times, delay critical decisions for lack of data or take action based on inaccurate or incomplete information.

4. IMPROVED PUBLIC SAFETY: Timely access to quality information enables better decision making, which can easily translate into saving lives. Getting the right information to the right people all of the time means that officials will be properly equipped to make informed decisions in planning for, preventing or responding to criminal incidents and day-to-day operations.

5. IMPROVED GOVERNMENT EFFECTIVENESS: The ability of government personnel to effectively serve the public and to deliver positive outcomes, hinges on the availability of appropriate and accurate information. Access to such information ensures that decisions are made and assistance provided as quickly as possible.

Additional information regarding the Data Quality Grant, a pdf version of this document, and a searchable data repository can be obtained on CCAP’s website at the following address: http://www.pacounties.org/TechnologyServices/Pages/CriminalJusticeProjects.aspx. Additional information regarding the National Information Exchange Model (NIEM) can be found at http://www.niem.gov .

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Data Element: PERSON NAME PREFIX Definition (NIEM 2.0): A title or honorific used by a person.

Definition (PA – if different or unique):

Data Element Purpose: Properly addressing the person for forms

Agency Requiring the Data Element in this format:

JNET ERII PA SAVIN PSP NCIC AOPC PBPP DOC PCS

Data Source(s):

Best Practices:

CODE PREFIX CAPT CAPTAIN DR DOCTOR GENERAL GENERAL JUDGE JUDGE LT LIEUTENANT MISS MISS MR MISTER MRS MRS MS MS PROF PROFESSOR REV REVERAND

Standard of Verification:

Data Type: STRING

Field Size: 25

Field Format: No punctuation is to be used

Users of the Information: JNET ERII PA SAVIN PSP NCIC AOPC PBPP DOC PCS

Comments: The above list is not necessarily a complete list of prefixes. Data Standard Information: NIEM 2.0, NCIC

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Data Element: PERSON SURNAME (LAST NAME) Definition (NIEM 2.0): A last name or family name of a person.


Data Element Purpose: Searching; Proper Name Structure; Common Identifier Across Agencies



Data Source(s): PSP: Captured during fingerprinting

Best Practices: Example: SMITH, MCKEE, OHARE, SMITH-JONES

Standard of Verification: PSP: Outside agency data is used to validate to make sure the data is applied to the correct CCHRI record.

Data Type: STRING

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Field Size: 100

Field Format:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included when entering the Surname (last name). That is, apostrophes and other forms of punctuation or special characters should be eliminated. In addition, do not include any spaces in the Surname (last name).


Comments:

Data Standard Information: NIEM 2.0, NCIC

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Data Element: PERSON GIVEN NAME (FIRST NAME) Definition (NIEM 2.0): A first name of a person.






Best Practices: EXAMPLE: SNOOPY, SANDY-MAE


Data Type: STRING

Field Size: 50

Field Format:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included when entering the Given Name (First Name). Apostrophes and other forms of punctuation or special characters should be eliminated. In addition, do not include any spaces in the Given Name (First Name).


Comments:


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Data Element: PERSON MIDDLE NAME Definition (NIEM 2.0): A middle name of a person






Best Practices: EXAMPLE: SNOOPY, SANDY-MAE, OHARE

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Data Type: STRING

Field Size: 50

Field Format:

1. Complete names should be used if available, and abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included when entering the Middle Name. That is, apostrophes and other forms of punctuation or special characters should be eliminated. In addition, do not include any spaces in the Middle Name. 3. If there is no Middle Name, place an “X” in the field to indicate that the question was asked.


Comments:


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Data Element: PERSON MAIDEN NAME Definition (NIEM 2.0): An original surname of a person before changed by marriage.


Data Element Purpose: Searching; Common Identifier Across Agencies



Data Source(s):

Best Practices: EXAMPLE: SNOOPY, SANDY-MAE, OHARE


Data Type: STRING

Field Size: 100

Field Format:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. Hyphens are the only form of punctuation to be included when entering the Maiden Name. That is, apostrophes and other forms of punctuation or special characters should be eliminated. In addition, do not include any spaces in the Maiden Name. 2. Some records management systems do not provide for a Maiden Name field, in this case, the Alias Last Name field should be used to enter the Maiden Name.


Comments:


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Data Element: PERSON NAME SUFFIX Definition (NIEM 2.0): A term appended after the family name that qualifies the name.


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Data Element Purpose: Determining Generation; Common Identifier Across Agencies



Data Source(s):

Best Practices:

CODE TEXT I FIRST II SECOND III THIRD IV FOURTH V FIFTH JR JUNIOR SR SENIOR PhD DOCTOR OF PHILOSPOHY MD MEDICAL DOCTOR LLD DOCTOR OF LAWS JD JURIS DOCTOR ESQ ESQUIRE DO DOCTOR OF OSTEOPATHY


Data Type: STRING

Field Size: 50

Field Format: No punctuation should be used.


Comments: The above list is not intended to be a complete list of suffixes. Data Standard Information: NIEM 2.0, NCIC

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Data Element: ALIAS LAST NAME Definition (NIEM 2.0): An alternate last name or family name of a person.


Data Element Purpose: Used for searches; Printed on documents, such as warrants, to help identify an individual if apprehended using an alias.




Best Practices:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included when entering the Alternate Surname (Alias Last Name). That is, apostrophes and other forms of punctuation or special characters should be eliminated. Do not include any spaces in the Alternate Surname (Alias Last Name). EXAMPLES: SMITH, MCKEE, OHARE, SMITH-JONES

Standard of Verification: PSP: Outside agency data used to validate to make sure the data is applied to the correct CCHRI record.

Data Type: STRING

Field Size: 100

Field Format:


5

Comments: ALIAS LAST NAME: PERSON ALTERNATE NAME\PERSON SURNAME


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Data Element: ALIAS FIRST NAME Definition (NIEM 2.0): An alternate first name of a person.


Data Element Purpose: Used for searches; Printed on documents, such as warrants, to help identify an individual if apprehended using an alias.




Best Practices:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included when entering the Alternate First Name (Alias First Name). That is, apostrophes and other forms of punctuation or special characters should be eliminated. Do not include any spaces in the Alternate First name (Alias First Name). EXAMPLE: SNOOPY, SANDY-MAE


Data Type: STRING

Field Size: 50

Field Format:


Comments: ALIAS FIRST NAME: PERSON ALTERNATE NAME\PERSON FIRST NAME


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Data Element: ALIAS MIDDLE NAME Definition (NIEM 2.0): An alternate middle name of a person.


Data Element Purpose: Used for searches; Printed on documents such as warrants to help identify an individual if apprehended using an alias.




Best Practices:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included when entering the Alternate Middle Name (Alias Middle Name). That is, apostrophes and other forms of punctuation or special characters should be eliminated. Do not include any spaces in the Alternate Middle Name (Alias Middle Name). EXAMPLE: SNOOPY, SANDY-MAE, OHARE


6

Data Type: STRING

Field Size: 50

Field Format:


Comments: ALIAS MIDDLE NAME: PERSON ALTERNATE NAME\PERSON MIDDLE NAME


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Data Element: PERSON NICKNAME Definition (NIEM 2.0): A nickname or street name of a person.


Data Element Purpose:



Data Source(s):

Best Practices:

1. Complete names should be used if available; and thus, abbreviations for the name should not be used. 2. Punctuation and Spaces: Hyphens are the only form of punctuation to be included. That is, apostrophes and other forms of punctuation or special characters should be eliminated. Do not include any spaces EXAMPLE: SNOOPY, SANDY-MAE, OHARE


Data Type: STRING

Field Size: 50

Field Format:


Comments: Some case records management systems provide for entry of a Nickname; but for those that do not, the Nickname should be entered in an Alternate / Alias name field.

Data Standard Information: NIEM 2.0

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Data Element: PERSON BIRTH DATE Definition (NIEM 2.0): Calendar date on which a person was born


Data Element Purpose: Searching; Used on warrants and other forms, such as PA Department of Transportation forms; Provides for particular functionality for juveniles; Common Identifier Across Agencies



Data Source(s): PSP: Captured on the fingerprint.

Best Practices: CCYYMMDD EXAMPLE: 2007-09-23

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Standard of Verification: Driver’s License PSP: Outside agency data used to validate to make sure the data is applied to the correct CCHRI record.

Data Type: DATE

Field Size: 10

Field Format: 1. The Date of Birth is expressed as a Gregorian date (CCYYMMDD) when exchanging data - year (CCYY), month (MM), and day (DD). 2. If the Date of Birth is unknown, leave blank and do not put zeros.


Comments: The user interfaces of many case records management systems use the format of MMDDYYYY; therefore, the conversion to a Gregorian date would need to occur at the time of electronically exchanging information.


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Data Element: PERSON EYE COLOR TEXT Definition (NIEM 2.0): The color of the eyes of a person.


Data Element Purpose: Identification; Used on warrants;




Best Practices:

EYE COLOR TEXT EYE COLOR CODE BLACK BLK BLUE BLU BROWN BRO GREEN GRN GRAY GRY HAZEL HAZ MAROON MAR MULTICOLORED MUL PINK PNK UNKNOWN XXX

Standard of Verification: Observation of the person.

Data Type: STRING

Field Size: 25

Field Format:


Comments:


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Data Element: PERSON EYE COLOR CODE Definition (NIEM 2.0): The color of the eyes of a person.


Data Element Purpose: Identification; Used on warrants;




Best Practices:

EYE COLOR CODE EYE COLOR TEXT BLK BLACK BLU BLUE BRO BROWN GRN GREEN GRY GRAY HAZ HAZEL MAR MAROON MUL MULTICOLORED PNK PINK XXX UNKNOWN


Data Type: STRING

Field Size: 3

Field Format:


Comments:


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Data Element: PERSON HAIR COLOR TEXT Definition (NIEM 2.0): A color of the hair of a person.


Data Element Purpose: Used for identification



9


Best Practices:

HAIR TEXT HAIR CODE BLACK BLK BLOND OR STRAWBERRY BLN BLUE BLU BROWN BRO GREEN GRN GRAY OR PARTIALLY GRAY GRY ORANGE ONG PINK PNK PURPLE PLE RED OR AUBURN RED SANDY SDY WHITE WHI UNKNOWN OR COMPLETELY BALD XXX


Data Type: STRING

Field Size: 50

Field Format:


Comments:


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Data Element: PERSON HAIR COLOR CODE Definition (NIEM 2.0): A color of the hair of a person.






Best Practices:

HAIR CODE HAIR TEXT BLK BLACK BLN BLOND OR STRAWBERRY BLU BLUE BRO BROWN GRN GREEN GRY GRAY OR PARTIALLY GRAY ONG ORANGE PNK PINK PLE PURPLE RED RED OR AUBURN SDY SANDY WHI WHITE XXX UNKNOWN OR COMPLETELY BALD


Data Type: STRING

10

Field Size: 3

Field Format:


Comments:


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Data Element: PERSON HEIGHT Definition (NIEM 2.0): A measurement of the height of a person.


Data Element Purpose: Used for identification, for example, on warrants.




Best Practices:

FEET, INCHES: 1. Height must be expressed in FEET and INCHES. 2. Fractions of an inch should be rounded off to the nearest inch. Example:

HEIGHT CODE 5’11” 511 6’0” 600 70” 510 72 ½” 601


Data Type: Numeric

Field Size: 3

Field Format: 511

Users of the Information:

Comments: JNET ERII PA SAVIN PSP NCIC AOPC PBPP DOC PCS


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Data Element: PERSON WEIGHT Definition (NIEM 2.0): A measurement of the weight of a person.


Data Element Purpose: Used for identification, for example, on warrants.




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Best Practices:

POUNDS: 1. Weight must be expressed in POUNDS, using three digits. 2. Fractions of a pound should be rounded off to the nearest pound. Example:

WEIGHT CODE 94 Pounds 094 186 Pounds 186 210 ½ Pounds 211


Data Type: Numeric

Field Size: 3

Field Format: 186


Comments:


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Data Element: PERSON RACE TEXT Definition (NIEM 2.0): A classification of a person based on factors such as geographical locations and

genetics.


Data Element Purpose: Used for identification, for example on warrants; Common Identifier Across Agencies




Best Practices:

RACE TEXT RACE CODE

AMERICAN INDIAN OR ALASKAN NATIVE I

ASIAN OR PACIFIC ISLANDER A

BLACK OR AFRICAN AMERICAN B

UNKNOWN U

WHITE W


Data Type: STRING

Field Size: 35

Field Format:


Comments:

American Indian or Alaskan Native – a person having origins in any of the original peoples of the Americas and maintaining cultural identification through tribal affiliations or community recognition. Asian or Pacific Islander – a person having origins in any of the original peoples of the Far East, Southeast Asia, the Indian subcontinent or the Pacific Islands . Black or African American – a person having origins in any of the black racial groups of Africa .

12

White - a person having origins in any of the original peoples of Europe, North Africa or Middle East.


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Data Element: PERSON RACE CODE Definition (NIEM 2.0): A classification of a person based on factors such as geographical locations and

genetics.


Data Element Purpose: Used for identification, for example on warrants; Common Identifier Across Agencies




Best Practices:

RACE CODE RACE TEXT

I AMERICAN INDIAN OR ALASKAN NATIVE

A ASIAN OR PACIFIC ISLANDER

B BLACK OR AFRICAN AMERICAN

U UNKNOWN

W WHITE


Data Type: STRING

Field Size: 1

Field Format:


Comments:

American Indian or Alaskan Native – a person having origins in any of the original peoples of the Americas and maintaining cultural identification through tribal affiliations or community recognition. Asian or Pacific Islander – a person having origins in any of the original peoples of the Far East, Southeast Asia, the Indian subcontinent or the Pacific Islands . Black or African American – a person having origins in any of the black racial groups of Africa . White - a person having origins in any of the original peoples of Europe, North Africa or Middle East.


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Data Element: PERSON ETHNICITY TEXT Definition (NIEM 2.0): A cultural lineage of a person.





13

Data Source(s):

Best Practices:

ETHNICITY TEXT ETHNICITY CODE

HISPANIC H

NON-HISPANIC N

UNKNOWN U


Data Type: STRING

Field Size: 25

Field Format:


Comments:

Data Standard Information: NIEM 2.0, NIBRS

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Data Element: PERSON ETHNICITY CODE Definition (NIEM 2.0): A cultural lineage of a person.





Data Source(s):

Best Practices:

ETHNICITY CODE ETHNICITY TEXT

H HISPANIC

N NON-HISPANIC

U UNKNOWN


Data Type: STRING

Field Size: 1

Field Format:


Comments:

Data Standard Information: NIEM 2.0, NIBRS

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Data Element: PERSON SEX TEXT Definition (NIEM 2.0): A gender or sex of a person.



14




Best Practices: SEX TEXT SEX CODE FEMALE F MALE M


Data Type: STRING

Field Size: 25

Field Format:


Comments:

While “unknown” is a gender option compliant with NIEM and NCIC codes, the PA criminal justice practitioners requested this option be removed within Best Practices. The business process reason is that the sex of a person must be defined in agencies to determine housing and gender specific services.


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Data Element: PERSON SEX CODE Definition (NIEM 2.0): A gender or sex of a person.






Best Practices: SEX CODE SEX TEXT F FEMALE M MALE


Data Type: STRING

Field Size: 1

Field Format:


Comments:

While “unknown” is a gender option compliant with NIEM and NCIC codes, the Pennsylvania criminal justice practitioners requested this be removed as an option within Best Practices. The business process reason for this is that the sex of a person must be defined in jails and other agencies as it determines housing and gender specific services.


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15

Data Element: PERSON RELIGION TEXT Definition (NIEM 2.0): A religion to which a person subscribes or believes; a categorization of spiritual beliefs.





Data Source(s):

Best Practices:

RELIGION TEXT RELIGION CODE

BUDDHIST BUDDH

BAHAI BAHAI

CHRISTIAN CHRIS

CHRISTIAN-CATHOLIC CATHO

CHRISTIAN-ORTHODOX ORTHO

CHRISTIAN-PENTECOSTAL PENTE

CHRISTIAN-PROTESTANT PROTE

HINDU HINDU

JAINS JAINS

JEWISH JEWIS

MOSLEM MOSLE

MOSLEM-DRUZE DRUZE

MOSLEM-SHIITE SHIIT

MOSLEM-SUNNI SUNNI

OTHER OTHER

PARSI (ZOROASTRIAN) PARSI

SIKH SIKH

UNKNOWN UNKNO

ZOROASTRIAN ZOROZ


Data Type: STRING

Field Size: 25

Field Format:


Comments:


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Data Element: PERSON RELIGION CODE Definition (NIEM 2.0): A religion to which a person subscribes or believes; a categorization of spiritual beliefs.



16



Data Source(s):

Best Practices:

RELIGION CODE RELIGION TEXT

BUDDH BUDDHIST

BAHAI BAHAI

CHRIS CHRISTIAN

CATHO CHRISTIAN-CATHOLIC

ORTHO CHRISTIAN-ORTHODOX

PENTE CHRISTIAN-PENTECOSTAL

PROTE CHRISTIAN-PROTESTANT

HINDU HINDU

JAINS JAINS

JEWIS JEWISH

MOSLE MOSLEM

DRUZE MOSLEM-DRUZE

SHIIT MOSLEM-SHIITE

SUNNI MOSLEM-SUNNI

OTHER OTHER

PARSI PARSI (ZOROASTRIAN)

SIKH SIKH

UNKNO UNKNOWN

ZOROZ ZOROASTRIAN


Data Type: STRING

Field Size: 5

Field Format:


Comments:


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Data Element: PERSON STATE FINGERPRINT IDENTIFICATION (SID)

Definition (NIEM 2.0): A number issued by a state Automated Fingerprint Identification System (AFIS) based on submitted fingerprints.


Data Element Purpose: Used as a common and unique identifier to identify a defendant across incidents/cases statewide.




17

Best Practices: 123-45-67-8 (User Interface generally includes hyphens)


Data Type: String

Field Size: 8

Field Format:

12345678 (When the SID is exchanged electronically, no hyphens or spaces are used to separate the numbers.) *Only Pennsylvania SID’s are to be entered into this field.


Comments:

1. ONLY Pennsylvania SID’S are to be entered into this field. 2. SID’s from other states should always be entered into a Miscellaneous ID

field. 3. The first time someone is fingerprinted they are assigned a SID. This is the

main key along with OTN which connects PBPP, AOPC and DOC records management systems. Without an SID, data cannot be applied to CCHRI.


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Data Element: CHARGE TRACKING IDENTIFICATION (OFFENSE TRACKING NUMBER / OTN)

Definition (NIEM 2.0): A unique identifying number assigned to an entire set of charges for an arrest. Different numbers may appear in the set if cases have been consolidated.

Definition (PA – if different or unique): A number assigned to a group of offenses for tracking purposes

Data Element Purpose: Used as the basic unit to identify a charge and is a common identifier across agencies. The title, section and subsection combination also limits the proper grades within the AOPC systems and is the route for default financials.




Best Practices: Q333333-0 (User Interface) Q3333330 (When exchanging data)

Standard of Verification: PSP: For outside agency data, it is used for validation to insure the data sent is for the correct person before the data is applied to CCHRI.

Data Type: String

Field Size: 20

Field Format:

Q3333330 No spaces, no hyphens or other punctuation. Many records management systems will pre-format the OTN, for example Q333333-0; however, when electronically exchanging data, no punctuation marks or spaces area used.


Comments:

1. An OTN is assigned for every arrest fingerprint taken. This is the main key into CCHRI. Without the OTN, any data that is sent to CCHRI cannot be applied. 2. Due to the interchanging of Charge Tracking Identification and Offense Tracking Number, the OTN is cross referenced in under Charge Tracking Identification and Offense Tracking Number.


18

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Data Element: PERSON SSN IDENTIFICATION (SOCIAL SECURITY NUMBER)

Definition (NIEM 2.0): A unique reference to a living person; assigned by the United States Social Security Administration.


Data Element Purpose: A 9-digit numeric identifier which is a common identifier across agencies. This is used for identification, for example, on warrants, Court Summary reports and other information provided to the Court and other agencies.




Best Practices: 123-45-6789 (User Interface) 123456789 (electronically exchanging information) 999999999 (If no SSN is available, then all "nines" should be entered.)

Standard of Verification: 1. JNET rap sheet 2. Outside agency data used to validate to make sure the data is applied to the correct CCHRI record.

Data Type: String

Field Size: 9

Field Format: 123456789


Comments:

1. Many records management systems will pre-format the SSN in the user interface in the standard format of 123-45-6789. 2. When electronically exchanging information, there should be no spaces or hyphens in the SSN.


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Data Element: ALIAS SOCIAL SECURITY NUMBER (SSN) Definition (NIEM 2.0):


An alias reference to a living person; not assigned by the United States Social Security Administration to this person.

Data Element Purpose: A 9-digit numeric identifier which can be used for identification, for example, on warrants, Court Summary reports and other information provided to the Court and other agencies.



Data Source(s):

Best Practices: 123-45-6789 (User Interface – entered with other alias information) 123456789 (No hyphens when exchanging information electronically)


Data Type: String

19

Field Size: 9

Field Format: 123456789


Comments:

1. Many records management systems will pre-format the SSN in the user interface in the standard format of 123-45-6798. 2. However, when electronically exchanging information, there should be no spaces or hyphens in the SSN (ex. 123456789).


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Data Element: PERSON U.S. CITIZEN INDICATOR Definition (NIEM 2.0): True if a person is a citizen of the United States ; false otherwise.





Data Source(s):

Best Practices: True; False. Yes; No. Checkbox

Standard of Verification: Information collected from a certified birth certificate, or from the Immigration and Naturalization Service (INS).

Data Type: Boolean

Field Size: 1

Field Format:


Comments:


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Data Element: ADDRESS TYPE Definition (NIEM 2.0): Categorization of the type of address


Data Element Purpose: To properly address forms and identify information about the defendant for service



Data Source(s):

Best Practices:

ADDRESS TYPE ADDRESS DESCRIPTION

Contact Mailing Address A postal address by which a person or organization may be contacted.

Location Address A geophysical location described by postal information.

20


Data Type: Text

Field Size: 25

Field Format:


Comments:


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Data Element: ADDRESS LINE 1 (BUILDING/APARTMENT/UNIT)

Definition (NIEM 2.0):


ADDRESS LINE 1: The first line of address text. The building name, apartment name and/or unit name for where the Defendant lives




Data Source (s):

Data Type: String

Best Practices:

ARREST SUBJECT MAILING ADDRESS ADDRESS DATA ELEMENT

DESCRIPTION OF ADDRESS DATA ELEMENT

BuildingText A physical structure at an address.

DeliveryPointID An identifier of a single place or unit at which mail is delivered.

DeliveryPointText A single place or unit at which mail is delivered.

SecondaryUnitText A particular unit within a larger unit or grouping at a location.

RouteName* A name and number of a postal route. Examples: RR 3 BOX 12000 RR 2 BOX 9800 RR 1 BOX 17A


Field Size: 60

Field Format:


Comments:

1. This would be the first line of the address. 2. Print rural route addresses as: RR N BOX NN. Do not use the words RURAL, NUMBER, NO., or the pound sign (#). 3. Change the designations RFD and RD (as a meaning for rural or rural free delivery) to RR. Note: RD is no longer acceptable.

Data Standard Information: NIEM 2.0, AOPC, USPS

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21

Data Element: ADDRESS LINE 2 (STREET) Definition (NIEM 2.0): A road, thoroughfare or highway.


ADDRESS LINE 2: The second line of address text. The street name and number where the Defendant lives




Data Source(s):

Best Practices: Standard of Verification:

Data Type: String

Field Size: 60

Field Format:

Users of the Information: JNET ER II PA SAVIN PSP NCIC AOPC PBPP DOC PCS

Comments: This would be the second line of the address.


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Data Element: CITY NAME Definition (NIEM 2.0): A name of a city or town.

Definition (PA – if different or unique): The name of the city in which the Defendant lives




Data Source(s):

Best Practices: ALL CAPS


Data Type: String

Field Size:

Field Format:


Comments:

Data Standard Information: NIEM 2.0, AOPC

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22

Data Element: STATE CODE Definition (NIEM 2.0): The USPC 2 letter code for state, commonwealth, province, or other such geopolitical

subdivision of a country.

Definition (PA – if different or unique): The USPS code for the name of the state in which the Defendant lives




Data Source(s):

Best Practices:

US Postal State Code

Code Description

AA Armed Forces Americas (except Canada)

AE Armed Forces Africa, Canada, Europe, Middle East

AK ALASKA

AL ALABAMA

AP Armed Forces Pacific

AR ARKANSAS

AS AMERICAN SAMOA

AZ ARIZONA

CA CALIFORNIA

CO COLORADO

CT CONNECTICUT

DC DISTRICT OF COLUMBIA

DE DELAWARE

FL FLORIDA

FM FEDERATED STATES OF MICRONESIA

GA GEORGIA

GU GUAM

HI HAWAII

IA IOWA

ID IDAHO

IL ILLINOIS

IN INDIANA

KS KANSAS

KY KENTUCKY

LA LOUISIANA

MA MASSACHUSETTS

MD MARYLAND

ME MAINE

MH MARSHALL ISLANDS

MI MICHIGAN

MN MINNESOTA

MO MISSOURI

MP NORTHERN MARIANA ISLANDS

MS MISSISSIPPI

23

MT MONTANA

NC NORTH CAROLINA

ND NORTH DAKOTA

NE NEBRASKA

NH NEW HAMPSHIRE

NJ NEW JERSEY

NM NEW MEXICO

NV NEVADA

NY NEW YORK

OH OHIO

OK OKLAHOMA

OR OREGON

PA PENNSYLVANIA

PR PUERTO RICO

PW PALAU

RI RHODE ISLAND

SC SOUTH CAROLINA

SD SOUTH DAKOTA

TN TENNESSEE

TX TEXAS

UT UTAH

VA VIRGINIA

VI VIRGIN ISLANDS

VT VERMONT

WA WASHINGTON

WI WISCONSIN

WV WEST VIRGINIA

WY WYOMING


Data Type: String

Field Size: 2

Field Format:


Comments:


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24

Data Element: POSTAL CODE (ZIP CODE) Definition (NIEM 2.0): An identifier of a post office-assigned zone for an address.





Data Source(s):


Data Type: String

Field Size: 5

Field Format: 22222



Comments:


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Data Element: POSTAL EXTENSION CODE (ZIP CODE EXTENSION)

Definition (NIEM 2.0): An identifier of a smaller area within a post office-assigned zone for an address.





Data Source(s):


Data Type: String

Field Size: 4

Field Format: 2222


Comments:


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25

Data Element: BOOKING DOCUMENT CONTROL IDENTIFICATION NUMBER (PIN)

Definition (NIEM 2.0): A number assigned by a booking system to identify a unique booking event within a specific jail.

Definition (PA – if different or unique): PIN – Per Incarceration Period booking number




Data Source(s):

Best Practices:


Data Type: String

Field Size: 20

Field Format:



Comments:


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Data Element: CONVICTION COURT NAME TEXT Definition (NIEM 2.0): A county court in which a conviction was issued.

Definition (PA – if different or unique): County Name for the lineage court case.

Data Element Purpose: Identify the county in which the conviction took place. Used for the purposes of jurisdiction and financial distribution.



Data Source(s): AOPC

Best Practices:

PENNSYLVANIA COUNTY IDENTIFICATION NUMBERS AND JUDICIAL DISTRICTS

County No. County Judicial District

1 Adams 51

2 Allegheny 5

3 Armstrong 33

4 Beaver 36

5 Bedford 57

6 Berks 23

7 Blair 24

8 Bradford 42

9 Bucks 7

26

10 Butler 50

11 Cambria 47

12 Cameron Cameron-Elk 59

13 Carbon 56

14 Centre 49

15 Chester 15

16 Clarion 18

17 Clearfield 46

18 Clinton 25

19 Columbia Columbia-Montour 26

20 Crawford 30

21 Cumberland 9

22 Dauphin 12

23 Delaware 32

24 Elk 59

25 Erie 6

26 Fayette 14

27 Forest Forest-Warren 37

28 Franklin 39

29 Fulton Fulton-Franklin 39

30 Greene 13

31 Huntingdon 20

32 Indiana 40

33 Jefferson 54

34 Juniata 41

35 Lackawanna 45

36 Lancaster 2

37 Lawrence 53

38 Lebanon 52

39 Lehigh 31

40 Luzerne 11

41 Lycoming 29

42 McKean 48

43 Mercer 35

44 Mifflin 58

45 Monroe 43

46 Montgomery 38

47 Montour Montour-Columbia 26

48 Northampton 3

49 Northumberland 8

50 Perry 41

51 Philadelphia 1

52 Pike 60

53 Potter 55

54 Schuylkill 21

55 Snyder Snyder-Union 17

56 Somerset 16

27

57 Sullivan Sullivan-Wyoming 44

58 Susquehanna 34

59 Tioga 4

60 Union 17

61 Venango 28

62 Warren Warren-Forest 37

63 Washington 27

64 Wayne 22

65 Westmoreland 10

66 Wyoming 44

67 York 19


Data Type: STRING

Field Size: 25

Field Format:



Comments: 1. Pennsylvania county criminal justice users commonly enter the county number. 2. When electronically exchanging data, both the county number and judicial district number are used.

Data Standard Information: NIEM, AOPC

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Data Element: CONVICTION COURT NAME CODE Definition (NIEM 2.0): The code for the county court in which a conviction was issued.

Definition (PA – if different or unique): Code for county court for the lineage court case.

Data Element Purpose: Identify the county in which the conviction took place. Used for the purposes of jurisdiction and financial distribution.




Best Practices:

PENNSYLVANIA COUNTY IDENTIFICATION NUMBERS AND JUDICIAL DISTRICTS

County No. County Judicial District

1 Adams 51

2 Allegheny 5

3 Armstrong 33

4 Beaver 36

5 Bedford 57

6 Berks 23

7 Blair 24

8 Bradford 42

28

9 Bucks 7

10 Butler 50

11 Cambria 47

12 Cameron Cameron-Elk 59

13 Carbon 56

14 Centre 49

15 Chester 15

16 Clarion 18

17 Clearfield 46

18 Clinton 25


20 Crawford 30

21 Cumberland 9

22 Dauphin 12

23 Delaware 32

24 Elk 59

25 Erie 6

26 Fayette 14


28 Franklin 39

29 Fulton Fulton-Franklin 39

30 Greene 13

31 Huntingdon 20

32 Indiana 40

33 Jefferson 54

34 Juniata 41

35 Lackawanna 45

36 Lancaster 2

37 Lawrence 53

38 Lebanon 52

39 Lehigh 31

40 Luzerne 11

41 Lycoming 29

42 McKean 48

43 Mercer 35

44 Mifflin 58

45 Monroe 43

46 Montgomery 38


48 Northampton 3

49 Northumberland 8

50 Perry 41

51 Philadelphia 1

52 Pike 60

53 Potter 55

54 Schuylkill 21

55 Snyder Snyder-Union 17

29

56 Somerset 16

57 Sullivan Sullivan-Wyoming 44

58 Susquehanna 34

59 Tioga 4

60 Union 17

61 Venango 28


63 Washington 27

64 Wayne 22

65 Westmoreland 10

66 Wyoming 44

67 York 19


Data Type: STRING

Field Size: 2

Field Format:



Comments: 1. Pennsylvania county criminal justice users commonly enter the county number. 2. When electronically exchanging data, both the county number and judicial district number are used.

Data Standard Information: NIEM, AOPC

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Data Element: CONFINEMENT LOCATION NAME Definition (NIEM 2.0): The name of the confining institution.


Data Element Purpose: Used for writs and transportation lists in order to locate a prisoner for transportation to Court.


JNET ERII PA SAVIN PSP NCIC AOPC PBPP DOC PCS JNET ERII PA SAVIN PSP NCIC AOPC PBPP DOC PCS

Data Source(s):

Best Practices:

PA COUNTY INSTITUTION / CORRECTIONAL FACILITY LOCATION

ADAMS COUNTY ADULT CORRECTIONAL COMPLEX GETTYSBURG

ALLEGHENY COUNTY JAIL PITTSBURGH

ARMSTRONG COUNTY JAIL KITTANING

BEAVER COUNTY PRISON ALIQUIPPA

BEDFORD COUNTY PRISON BEDFORD

BERKS COUNTY PRISON LEESPORT

30

BLAIR COUNTY PRISON HOLLIDAYSBURG BRADFORD COUNTY CORRECTIONAL FACILITY TROY

BUCKS COUNTY MEN/WOMENS CCC DOYLESTOWN

BUCKS COUNTY CORRECTIONAL FACILITY DOYLESTOWN

BUTLER COUNTY PRISON BUTLER

CAMBRIA COUNTY PRISON EBENSBURG

CARBON COUNTY CORRECTIONAL FACILITY NESQUEHONING

CENTRE COUNTY CORRECTIONAL FACILITY BELLEFONTE

CHESTER COUNTY PRISON WEST CHESTER

CLARION COUNTY PRISON SHIPPENVILLE

CLEARFIELD COUNTY PRISON CLEARFIELD

CLINTON COUNTY CORRECTIONAL FACIITY MCELHATTAN

COLUMBIA COUNTY PRISON BLOOMSBURG CRAWFORD COUNTY CORRECTIONAL FACILITY SAEGERTOWN

CUMBERLAND COUNTY PRISON CARLISLE

DAUPHIN COUNTY PRISON HARRISBURG

DELAWARE COUNTY PRISON THORTON

ELK COUNTY PRISON RIDGWAY ERIE COUNTY DEPARTMENT OF CORRECTIONS ERIE

FAYETTE COUNTY PRISON UNIONTOWN

FRANKLIN COUNTY JAIL CHAMBERSBURG

GREENE COUNTY PRISON WAYNESBURG

HUNTINGDON COUNTY JAIL HUNTINGDON

INDIANA COUNTY JAIL INDIANA

JEFFERSON COUNTY PRISON BROOKVILLE

JUNIATA COUNTY PRISON MIFFLINTOWN

LACKAWANNA COUNTY PRISON SCRANTON

LANCASTER COUNTY PRISON LANCASTER LAWRENCE COUNTY CORRECTIONAL FACILITY NEW CASTLE LEBANON COUNTY CORRECTIONAL FACILITY LEBANON LEHIGH COUNTY DEPARTMENT OF CORRECTIONS ALLENTOWN LUZERNE COUNTY CORRECTIONAL FACILITY WILKES-BARRE

LYCOMING COUNTY PRISON WILLIAMSPORT

MCKEAN COUNTY PRISON SMETHPORT

MERCER COUNTY JAIL MERCER

MIFFLIN COUNTY CORRECTIONAL FACILITY LEWISTOWN

MONROE COUNTY CORRECTIONAL FACILITY STROUDSBURG MONTGOMERY COUNTY CORRECTIONAL FACILITY NORRISTOWN

MONTOUR COUNTY PRISON DANVILLE

NORTHAMPTON COUNTY PRISON EASTON

NORTHUMBERLAND COUNTY PRISON SUNBURY

PERRY COUNTY PRISON NEW BLOOMFIELD CURRAN FROM-HOLD CORRECTIONAL FACILITY PHILADELPHIA

31

DENTENTION CENTER PHILADELPHIA

HOUSE OF CORRECTIONS PHILADELPHIA PHILADELPHIA INDUSTRIAL CORRECTIONAL CENTER PHILADELPHIA

ALTERNATIVE/SPECIAL DETENTION PHILADELPHIA

RIVERSIDE CORRECTIONAL FACILITY PHILADELPHIA

PIKE COUNTY CORRECTIONAL FACILITY LORDS VALLEY

POTTER COUNTY PRISON COUDERSPORT

SCHUYLKILL COUNTY PRISON POTTSVILLE

SNYDER COUNTY PRISON SELINSGROVE

SOMERSET COUNTY JAIL SOMERSET SUSQUEHANNA COUNTY CORRECTIONAL FACILITY MONTROSE

TIOGA COUNTY PRISON WELLSBORO

UNION COUNTY PRISON LEWISBURG

VENANGO COUNTY PRISON FRANKLIN

WARREN COUNTY PRISON WARREN WASHINGTON COUNTY CORRECTIONAL FACILITY WASHINGTON

WAYNE COUNTY PRISON HONESDALE

WESTMORELAND COUNTY PRISON GREENSBURG WYOMING COUNTY CORRECTIONAL FACILITY TUNKHANNOCK

YORK COUNTY PRISON YORK

CODE PA STATE INSTITUTION /

CORRECTIONAL FACILITY LOCATION

ALB ALBION ALBION

CAM CAMP HILL CAMP HILL

CBS CAMBRIDGE SPRINGS CAMBRIDGE SPRINGS

CHS CHESTER CHESTER

COA COAL TOWNSHIP COAL TOWNSHIP

CRE CRESSON CRESSON

DAL DALLAS DALLAS

FRA FRACKVILLE FRACKVILLE

FRS FOREST MARIENVILLE

FYT FAYETTE LABELLE

GRA GRATERFORD GRATERFORD

GRE GREENSBURG GREENSBURG

GRN GREENE WAYNESBURG

HOU HOUTZDALE HOUTZDALE

HUN HUNTINGDON HUNTINGDON

LAU LAUREL HIGHLANDS SOMERSET

MAH MAHANOY FRACKVILLE

MER MERCER MERCER

MUN MUNCY MUNCY

PIT PITTSBURGH PITTSBURGH

PNG PINE GROVE INDIANA

QUE QUEHANNA BOOTCAMP KARTHAUS

RET RETREAT HUNLOCK CREEK

ROC ROCKVIEW BELLEFONTE

32

SMI SMITHFIELD HUNTINGDON

SMR SOMERSET SOMERSET

WAM WAYMART WAYMART

CODE PA COMMUNITY CORRECTIONAL CENTERS LOCATION

102 PHILADELPHIA CCC #2 PHILADELPHIA




201 SCRANTON CCC SCRANTON

202 ALLENTOWN CCC ALLENTOWN

203 HARRISBURG CCC HARRISBURG

204 YORK CCC YORK

205 JOHNSTOWN CCC JOHNSTOWN

301 PITTSBURGH CCC #1 PITTSBURGH

302 PITTSBURGH CCC #2 PITTSBURGH

303 PITTSBURGH CCC PITTSBURGH

304 ERIE CCC ERIE

305 SHARON CCC SHARON

319 RIVERSIDE CCC PITTSBURGH


Data Type: String

Field Size: 325

Field Format:



Data Standard Information: NEM, Pennsylvania Department of Corrections

Comments: This is commonly a free text field. Pennsylvania criminal justice practitioners recommended the field be locked down so the data is entered in a standard way, but the users do not want a long dropdown field.

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33

Data Element: CHARGE TRACKING IDENTIFICATION (OFFENSE TRACKING NUMBER - OTN)

Definition (NIEM 2.0): A unique identifying number assigned to an entire set of charges for an arrest. Different numbers may appear in the set if cases have been consolidated.





Data Source(s):

Best Practices:


Data Type: String

Field Size: 20

Field Format:


Comments: OTN is assigned for every arrest fingerprint taken. This is the main key into CCHRI. Without this key, any data that is sent to CCHRI cannot be applied.


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Data Element: CHARGE SEQUENCE ID Definition (NIEM 2.0): A sequentially assigned number for charge tracking purposes


Data Element Purpose: Used to uniquely identify a charge under an OTN.



Data Source(s):

Best Practices: The first charge under the arrest might be assigned Charge Sequence ID 1, the second would be 2 and so forth.


Data Type: String

Field Size: 4

Field Format:


Comments:


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34

Data Element: CHARGE STATUTE TITLE Definition (NIEM 2.0): An identifier of a set of laws for a particular jurisdiction.

Definition (PA – if different or unique): The Purdon’s title identifier for a given statute.

Data Element Purpose: Used to uniquely identify a charge



Data Source(s):

Best Practices: Comprised of Charge, Charge Section and Charge Subsection


Data Type: String

Field Size: 10

Field Format:


Comments:


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Data Element: CHARGE STATUTE SECTION Definition (NIEM 2.0): An identifier of a section or category within a code book.

Definition (PA – if different or unique): The Purdon’s numeric section identifier for a given statute.




Data Source(s):

Best Practices:

Example: 2701 2709 3802 3743 2707.1


Data Type: String

Field Size: 10

Field Format:



Comments:


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35

Data Element: CHARGE STATUTE SUBSECTION Definition (NIEM 2.0):

Definition (PA – if different or unique): The Purdon’s numeric sub-section identifier for a given statute.




Data Source(s):

Best Practices:

Example: A1 A1*


Data Type: String

Field Size: 10

Field Format:


Comments:


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Data Element: CHARGE DEGREE Definition (NIEM 2.0): A degree of a charge


AOPC: Statute Sub-Section (Example: Title 18 Section 2502 Sub-Section A, B & C are First Degree, Second Degree and Third Degree respectively.)

Data Element Purpose: Further identifies a charge




Best Practices:

CHARGE DEGREE CODE CHARGE DEGREE TEXT

1 First Degree

2 Second Degree

3 Third Degree

4 Fourth Degree

5 Fifth Degree

6 Sixth Degree

7 Seventh Degree

8 Eighth Degree


Data Type: String

Field Size: 5

36

Field Format:


Comments:


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Data Element: CHARGE SEVERITY LEVEL Definition (NIEM 2.0): A severity level of a charge


Data Element Purpose: The grade determines the severity assigned and also, in many cases, determines the level of penalty that the court should consider.




Best Practices:

FELONY

HOMICIDE

MISDEMEANOR

SUMMARY


Data Type: String

Field Size: 15

Field Format:


Comments:


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37

Data Element: CHARGE GRADE Definition (NIEM 2.0):


Charge Grade is a combination of Charge Degree and Charge Level of Severity, categorizing the severity of an offense, M1 - ? Misdemeanor, F1 - ? Felony, S, S1 - ? Summary

Data Element Purpose: Further identifies a charge




Best Practices:

CHARGE GRADE CODE CHARGE GRADE DESCRIPTION

F FELONY

F1 FELONY 1ST DEGREE

F2 FELONY 2ND DEGREE

F3 FELONY 3RD DEGREE

M MISDEMEANOR

M1 MISDEMEANOR 1ST DEGREE

M2 MISDEMEANOR 2ND DEGREE

M3 MISDEMEANOR 3RD DEGREE

H1 MURDER 1ST DEGREE

H2 MURDER 2ND DEGREE

S SUMMARY OFFENSE

S1 SUMMARY OFFENSE 1ST DEGREE

S2 SUMMARY OFFENSE 2ND DEGREE

S3 SUMMARY OFFENSE 3RD DEGREE

S4 SUMMARY OFFENSE 4TH DEGREE






Data Type: String

Field Size: 5

Field Format:


Comments:

Data Standard Information: AOPC, PSP

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38

Data Element: CHARGE APPLICABILITY TEXT (INCOHATE CHARGE)

Definition (NIEM 2.0): A degree of involvement a person is being charged with committing in an offense . (Also referred to as the ACS code or inchoate statute.)


Data Element Purpose: Determines the level of participation of the defendant in committing the crime. The inchoate offense qualifies the title, section and subsection.




Best Practices: SOLICITATION

CONSPIRACY

ATTEMPT


Data Type: String

Field Size:

Field Format:


Comments:


Back To Top

Data Element: CASE DOCKET ID Definition (NIEM 2.0): An identifier used to reference a case docket.

Definition (PA – if different or unique): The docket number for the lineage case.

Data Element Purpose: This number identifies a matter before the court.




Best Practices: CP-00-CR-0000000-YYYY


Data Type: String

Field Size: 25

Field Format:

Users of the Information: JNET ER II PA SAVIN PSP NCIC AOPC PBPP DOC PCS

Comments:

Data Standard Information: AOPC

39

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Data Element: JUDGE OFFICIAL TYPE Definition (NIEM 2.0): A kind of Judicial Official

Definition (PA – if different or unique): An authority who can conduct a hearing before the court and issue orders.

Data Element Purpose: Identifying the sentencing Judge



Data Source(s):

Best Practices:

Magisterial District Justice

Court of Common Pleas Trial Judge

Bail Commissioner

Municipal Court Judge


Data Type: String

Field Size: 35

Field Format:


Comments: Bail Commissioner and Municipal Court Judge are unique to Philadelphia


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Data Element: SENTENCE DATE Definition (NIEM 2.0):

Definition (PA – if different or unique): The date the judge ordered the sentence. The date the sentence was imposed.

Data Element Purpose: Identify the start date of a sentence.




Best Practices: Year, Month, Day


Data Type: Date

Field Size: 10

Field Format: CCYY-MM-DD


Comments: Sentence Start Date cannot be prior to the Sentence Effective Date.

Data Standard Information:

40

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Data Element: PRESENTENCE INVESTIGATION INDICATOR (PSI)



The sentencing suggestion(s) sent by a probation department to the court handling a criminal case.

Data Element Purpose: Identify whether a PSI was completed and who completed it



Data Source(s):

Best Practices:

CODE DESCRIPTION*

1 COUNTY

2 PBPP

3 NOT REQUESTED


Data Type: String

Field Size:

Field Format:


Comments:

Data Standard Information: Pennsylvania Board of Probation and Parole

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Data Element: SENTENCE EFFECTIVE DATE Definition (NIEM 2.0):


The date sentence term calculations begin, with calculations for credit time. Identify the start date of a sentence.





Best Practices: Year, Month, Day


Data Type: Date

Field Size: 10



Comments:

Data Standard Information:

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41

Data Element: SENTENCE TERM MINIMUM Definition (NIEM 2.0): A minimum range or duration for a term.


The minimum term of the sentence that can be applied based on sentencing guidelines.

Data Element Purpose: To set for the penalty ordered by the Judicial Authority.




Best Practices: DAYS, MONTHS, YEARS; HOURS


Data Type: Duration

Field Size: 15

Field Format: PnYnMnDTnH, where nY is the number of years, nM is the number of months, nD is the number of days and nH is the number of hours.



Comments:


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Data Element: SENTENCE TERM MAXIMUM Definition (NIEM 2.0): A maximum range or duration for a term.


The maximum term of the sentence that can be applied based on sentencing guidelines.





Best Practices: DAYS, MONTHS, YEARS; HOURS


Data Type: Duration

Field Size: 15

Field Format: PnYnMnDTnH, where nY is the number of years, nM is the number of months, nD is the number of days and nH is the number of hours.



Comments: SentenceTerm\TermMaximumDuration


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42

Data Element: CONDITIONAL RELEASE PROJECTED DATE (MINIMUM RELEASE DATE)

Definition (NIEM 2.0): An expected date of conditional release. This date may change over time.

Definition (PA – if different or unique): ConfinementReleaseDate - The date that the subject was / should be released.

Data Element Purpose: PSP: DOC sends Admission and Release date for update to CCHRI.



Data Source(s):

Best Practices: DAYS, MONTHS, YEARS


Data Type: Date

Field Size: 10



Comments:


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Data Element: SENTENCE EXPIRATION DATE (MAXIMUM RELEASE DATE)

Definition (NIEM 2.0): The date a sentence expires.






Best Practices: DAYS, MONTHS, YEARS


Data Type: Date

Field Size: 10



Comments:


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43

Data Element: DETAINER STATUS Definition (NIEM 2.0):

Definition (PA – if different or unique): A status of a detainer lodged against a person.




Data Source(s):

Best Practices: LIFTED LODGED


Data Type: String

Field Size: 6

Field Format:


Comments:

Data Standard Information: Pennsylvania Department of Corrections

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Data Element: ARREST APPREHENSION DETENTION ORDER (DETAINER)

Definition (NIEM 2.0): An order issued by a judge or the Department of Corrections to arrest a subject for technical violation of probation, parole, supervised release or institution status.


Warrant/Detainer: A request filed by a criminal justice agency with the facility in which an inmate is incarcerated, asking the facility either to hold the inmate for the agency or to notify the agency when release is imminent. Detainers are usually based on outstanding criminal charges, outstanding parole or probation violations, or additional sentences already imposed against the inmate.

Data Element Purpose: To record a warrant for violation of a condition of probation or parole.



Data Source(s):

Best Practices:

DETAINER TYPES Federal – Unsentenced Federal – Sentenced Federal – ICE (Immigration and Customs Enforcement Agency) Federal – Violation of Probation Federal – Violation of Parole Out-of-State - Unsentenced Out-of-State – Sentenced Out-of-State – Violation of Probation Out-of-State – Violation of Parole

44

County – Unsentenced County – Sentenced County – Violation of Probation County – Violation of Parole County – Violation of County Intermediate Punishment County – Costs, Fines and Restitution County – Domestic Relations Local – Magisterial Confidential – Non-holding Detainer Execution – Formally Sentenced Execution Pending – Penalty Phase Determined, not yet formally sentenced LIFE Commuted LIFE Re-entry Department of Corrections Sentence PBPP – PA Board of Probation and Parole Warrant Other


Data Type: String

Field Size: 55

Field Format:



Comments:

Data Standard Information: Pennsylvania Department of Corrections

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Data Element: COURT ORDER SUPERVISING AGENCY NAME TEXT


Definition (PA – if different or unique): Supervising County Name: The county that is supervising the offender

Data Element Purpose: Identify the county that is supervising the offender



Data Source(s):

Best Practices:

PA COUNTY NUMBERS AND JUDICIAL DISTRICTS County Number County Judicial District

1 Adams 51

2 Allegheny 5

3 Armstrong 33

4 Beaver 36

5 Bedford 57

45

6 Berks 23

7 Blair 24

8 Bradford 42

9 Bucks 7

10 Butler 50

11 Cambria 47

12 Cameron-Elk 59

13 Carbon 56

14 Centre 49

15 Chester 15

16 Clarion 18

17 Clearfield 46

18 Clinton 25


20 Crawford 30

21 Cumberland 9

22 Dauphin 12

23 Delaware 32

24 Elk 59

25 Erie 6

26 Fayette 14


28 Franklin 39

29 Fulton-Franklin 39

30 Greene 13

31 Huntingdon 20

32 Indiana 40

33 Jefferson 54

34 Juniata 41

35 Lackawanna 45

36 Lancaster 2

37 Lawrence 53

38 Lebanon 52

39 Lehigh 31

40 Luzerne 11

41 Lycoming 29

42 McKean 48

43 Mercer 35

44 Mifflin 58

45 Monroe 43

46 Montgomery 38


46

48 Northampton 3

49 Northumberland 8

50 Perry 41

51 Philadelphia 1

52 Pike 60

53 Potter 55

54 Schuylkill 21

55 Snyder-Union 17

56 Somerset 16

57 Sullivan-Wyoming 44

58 Susquehanna 34

59 Tioga 4

60 Union 17

61 Venango 28


63 Washington 27

64 Wayne 22

65 Westmoreland 10

66 Wyoming 44

67 York 19


Data Type: String

Field Size: 50

Field Format:



Comments: The county agencies use the “County Number ”; but, electronic data exchange utilizes the “County Number” and the “Judicial District”.


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47

Data Element: COURT ORDER SUPERVISING AGENCY CODE Definition (NIEM 2.0):

Definition (PA – if different or unique): Supervising County Code: The county that is supervising the offender

Data Element Purpose: PBPP: Identify the county that is supervising the offender



Data Source(s):

Best Practices:

PA COUNTY NUMBERS AND JUDICIAL DISTRICTS County Number County Judicial District

1 Adams 51

2 Allegheny 5

3 Armstrong 33

4 Beaver 36

5 Bedford 57

6 Berks 23

7 Blair 24

8 Bradford 42

9 Bucks 7

10 Butler 50

11 Cambria 47

12 Cameron-Elk 59

13 Carbon 56

14 Centre 49

15 Chester 15

16 Clarion 18

17 Clearfield 46

18 Clinton 25


20 Crawford 30

21 Cumberland 9

22 Dauphin 12

23 Delaware 32

24 Elk 59

25 Erie 6

26 Fayette 14


28 Franklin 39

29 Fulton-Franklin 39

30 Greene 13

48

31 Huntingdon 20

32 Indiana 40

33 Jefferson 54

34 Juniata 41

35 Lackawanna 45

36 Lancaster 2

37 Lawrence 53

38 Lebanon 52

39 Lehigh 31

40 Luzerne 11

41 Lycoming 29

42 McKean 48

43 Mercer 35

44 Mifflin 58

45 Monroe 43

46 Montgomery 38


48 Northampton 3

49 Northumberland 8

50 Perry 41

51 Philadelphia 1

52 Pike 60

53 Potter 55

54 Schuylkill 21

55 Snyder-Union 17

56 Somerset 16

57 Sullivan-Wyoming 44

58 Susquehanna 34

59 Tioga 4

60 Union 17

61 Venango 28


63 Washington 27

64 Wayne 22

65 Westmoreland 10

66 Wyoming 44

67 York 19


Data Type: String

Field Size: 2

Field Format:

Users of the JNET ERII PA SAVIN PSP NCIC

49

Information: AOPC PBPP DOC PCS

Comments: The county agencies use the “County Number ”; but, electronic data exchange utilizes the “County Number” and the “Judicial District”.


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Data Element: SUPERVISION TYPE TEXT Definition (NIEM 2.0): A judicial requirement that a person fulfill certain conditions of behavior in lieu of jail time





Data Source(s):

Best Practices:

SUPERVISION TYPES CODE DESCRIPTION

1 Probation 2 Accelerated Rehabilitation Disposition 3 Probation Without Verdict 4 Parole 5 Intermediate Punishment 6 Pending 7 Jail 8 D-Probation 9 D- Accelerated Rehabilitation Disposition

10 D-Probation Without Verdict 11 D- Parole 12 D- Intermediate Punishment 13 D-Jail


Data Type: String

Field Size:

Field Format:



Comments:


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50

Data Element: SUPERVISION TYPE CODE Definition (NIEM 2.0): A judicial requirement that a person fulfill certain conditions of behavior in lieu of jail time





Data Source(s):

Best Practices:

SUPERVISION TYPES DESCRIPTION CODE Probation 1 Accelerated Rehabilitation Disposition 2 Probation Without Verdict 3 Parole 4 Intermediate Punishment 5 Pending 6 Jail 7 D-Probation 8 D- Accelerated Rehabilitation Disposition 9 D-Probation Without Verdict 10 D- Parole 11 D- Intermediate Punishment 12 D-Jail 13


Data Type: String

Field Size: 1

Field Format:


Comments:


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Data Element: SUPERVISION PERSON STATUS TEXT Definition (NIEM 2.0): A status of a person under supervision.





Data Source(s):

51

Best Practices:

SUPERVISION PERSON STATUS

CODE DESCRIPTION

1 ACTIVE

2 ADMINISTRATIVE

3 ABSCONDER

4 CLOSED

5 NON-REPORTING

6 UNKNOWN


Data Type:

Field Size:

Field Format:


Comments:

Data Standard Information: NIEM 2.0, Pennsylvania Board of Probation and Parole

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Data Element: SUPERVISION PERSON STATUS CODE Definition (NIEM 2.0): A status of a person under supervision.





Data Source(s):

Best Practices:

SUPERVISION PERSON STATUS

CODE DESCRIPTION

1 ACTIVE

2 ADMINISTRATIVE

3 ABSCONDER

4 CLOSED

5 NON-REPORTING

6 UNKNOWN


Data Type:

Field Size:

Field Format:

Users of the JNET ERII PA SAVIN PSP NCIC

52

Information: AOPC PBPP DOC PCS

Comments:

Data Standard Information: NIEM 2.0, Pennsylvania Board of Probation and Parole

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Data Element: DATE OF ADDITION TO SUPERVISION Definition (NIEM 2.0): A date a status was set, effected, or reported.

Definition (PA – if different or unique): Date of addition to supervision; Supervision start date

Data Element Purpose: Effective date of probation as recorded from the sentencing order.



Data Source(s): AOPC, PBPP

Best Practices: CCYY/MM/DD


Data Type: Date

Field Size: 10

Field Format:

CCYY-MM-DD 1. Gregorian date (CCYY-MM-DD): Year (CCYY), Month (MM), and Day (DD). 2. The user interfaces of many case records management systems use the format of MMDDYYYY; therefore, conversion to CCYY-MM-DD would occur when electronically exchanging information.


Comments: SUPERVISION PERSON STATUS/STATUS DATE (DATE OF ADDITION TO SUPERVISION; SUPERVISION START DATE)

Data Standard Information: NIEM 2.0; Pennsylvania Board of Probation and Parole

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Data Element: WEAPON TEXT Definition (NIEM 2.0): A property item used as an instrument of attack or defense.

Definition (PA – if different or unique): A property item used in an offense.




53

Data Source(s):

Best Practices:

TYPE OF WEAPON CODE

Asphyxiation (by drowning, strangulation, suffocation, gas, etc.) 85

Automatic Firearm (type not stated) 11A

Automatic Handgun 12A

Automatic Rifle 13A

Automatic Shotgun 14A

Blunt Object (e.g., club, hammer, etc.) 30

Club/Blackjack/Brass Knuckles 17

Drugs/Narcotics/Sleeping Pills 70

Explosives 60

Fire/Incendiary Device 65

Firearm (type not stated) 11

Handgun 12 Knife/Cutting Instrument (e.g., ax, ice pick, screwdriver, or switchblade) 20 Lethal Cutting Instrument (e.g., switchblade knife or martial arts stars) 16

Motor Vehicle (when used as a weapon) 35 Other (any weapon or force, including deadly diseases, not fitting the above specifically coded weapons/force) 90

Other Automatic Firearm 15A

Other Firearm 15

Personal Weapons (i.e., hands, feet, teeth, etc.) 40

Poison 50

Rifle 13

Shotgun 14

Unarmed 1


Data Type: String

Field Size:

Field Format:



Comments:


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Data Element: WEAPON CODE Definition (NIEM 2.0): A property item used as an instrument of attack or defense.


A property item used in an offense.


54



Data Source(s):

Best Practices:

CODE TYPE OF WEAPON

1 Unarmed

11 Firearm (type not stated)

11A Automatic Firearm (type not stated)

12 Handgun

12A Automatic Handgun

13 Rifle

13A Automatic Rifle

14 Shotgun

14A Automatic Shotgun

15 Other Firearm

15A Other Automatic Firearm

16 Lethal Cutting Instrument (e.g., switchblade knife or martial arts stars)

17 Club/Blackjack/Brass Knuckles

20 Knife/Cutting Instrument (e.g., ax, ice pick, screwdriver, or switchblade)

30 Blunt Object (e.g., club, hammer, etc.)

35 Motor Vehicle (when used as a weapon)

40 Personal Weapons (i.e., hands, feet, teeth, etc.)

50 Poison

60 Explosives

65 Fire/Incendiary Device

70 Drugs/Narcotics/Sleeping Pills

85 Asphyxiation (by drowning, strangulation, suffocation, gas, etc.)

90 Other (any weapon or force, including deadly diseases, not fitting the above specifically coded weapons/force)


Data Type: String

Field Size:

Field Format:



Comments:


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55

Data Element: PERSON BIRTH PLACE CODE (PERSON NATIONALITY / COUNTRY OF BIRTH)

Definition (NIEM 2.0): A country in which a person was born.

Definition (PA – if different or unique): An NCIC code for place of birth.



JNET ERII, ER2P PA SAVIN PSP NCIC AOPC PBPP DOC PCS


Best Practices:

Country Alpha 3 Code Code Description ABW ARUBA AFG AFGHANISTAN AGO ANGOLA AIA ANGUILLA ALA ALAND ISLANDS ALB ALBANIA AND Andorra ANT Netherlands Antilles ARE United Arab Emirates ARG Argentina ARM Armenia ASM American Samoa ATA Antarctica ATF French Southern Territories ATG Antigua And Barbuda AUS Australia AUT Austria AZE Azerbaijan BDI Burundi BEL Belgium BEN Benin BFA Burkina Faso BGD Bangladesh BGR Bulgaria BHR Bahrain BHS Bahamas BIH Bosnia And Herzegovina BLR Belarus BLZ Belize BMU Bermuda BOL Bolivia BRA Brazil BRB Barbados

56

BRN Brunei Darussalam BTN Bhutan BVT Bouvet Island BWA Botswana CAF Central African Republic CAN Canada CCK Cocos (Keeling) Islands CHE Switzerland CHL Chile CHN China CIV Cote Divoire CMR Cameroon COD Congo, The Democratic Republic

Of The COG Congo COK Cook Islands COL Colombia COM Comoros CPV Cape Verde CRI Costa Rica CUB Cuba CXR Christmas Island CYM Cayman Islands CYP Cyprus CZE Czech Republic DEU Germany DJI Djibouti DMA Dominica DNK Denmark DOM Dominican Republic DZA Algeria ECU Ecuador EGY Egypt ERI Eritrea ESH Western Sahara ESP Spain EST Estonia ETH Ethiopia FIN Finland FJI Fiji FLK Falkland Islands (Malvinas) FRA France FRO Faroe Islands FSM Micronesia, Federated States Of GAB Gabon GBR United Kingdom GEO Georgia GGY Guernsey

57

GHA Ghana GIB Gibraltar GIN Guinea GLP Guadeloupe GMB Gambia GNB Guinea-Bissau GNQ Equatorial Guinea GRC Greece GRD Grenada GRL Greenland GTM Guatemala GUF French Guiana GUM Guam GUY Guyana HKG Hong Kong HMD Heard Island And Mcdonald Islands HND Honduras HRV Croatia HTI Haiti HUN Hungary IDN Indonesia IMN Isle Of Man IND India IOT British Indian Ocean Territory IRL Ireland IRN Iran, Islamic Republic Of IRQ Iraq ISL Iceland ISR Israel ITA Italy JAM Jamaica JEY Jersey JOR Jordan JPN Japan KAZ Kazakhstan KEN Kenya KGZ Kyrgyzstan KHM Cambodia KIR Kiribati KNA Saint Kitts And Nevis KOR Korea, Republic Of KWT Kuwait LAO Lao Peoples Democratic Republic LBN Lebanon LBR Liberia LBY Libyan Arab Jamahiriya LCA Saint Lucia LIE Liechtenstein

58

LKA Sri Lanka LSO Lesotho LTU Lithuania LUX Luxembourg LVA Latvia MAC Macao MAR Morocco MCO Monaco MDA Moldova, Republic Of MDG Madagascar MDV Maldives MEX Mexico MHL Marshall Islands MKD Macedonia, The Former Yugoslav

Republic Of MLI Mali MLT Malta MMR Myanmar MNE Montenegro, Republic Of MNG Mongolia MNP Northern Mariana Islands MOZ Mozambique MRT Mauritania MSR Montserrat MTQ Martinique MUS Mauritius MWI Malawi MYS Malaysia MYT Mayotte NAM Namibia NCL New Caledonia NER Niger NFK Norfolk Island NGA Nigeria NIC Nicaragua NIU Niue NLD Netherlands NOR Norway NPL Nepal NRU Nauru NZL New Zealand OMN Oman PAK Pakistan PAN Panama PCN Pitcairn PER Peru PHL Philippines PLW Palau

59

PNG Papua New Guinea POL Poland PRI Puerto Rico PRK Korea, Democratic Peoples

Republic Of PRT Portugal PRY Paraguay PSE Palestinian Territory, Occupied PYF French Polynesia QAT Qatar REU Reunion ROU Romania RUS Russian Federation RWA Rwanda SAU Saudi Arabia SDN Sudan SEN Senegal SGP Singapore SGS South Georgia And The South

Sandwich Islands SHN Saint Helena SJM Svalbard And Jan Mayen SLB Solomon Islands SLE Sierra Leone SLV El Salvador SMR San Marino SOM Somalia SPM Saint Pierre And Miquelon SRB Serbia, Republic Of STP Sao Tome And Principe SUR Suriname SVK Slovakia SVN Slovenia SWE Sweden SWZ Swaziland SYC Seychelles SYR Syrian Arab Republic TCA Turks And Caicos Islands TCD Chad TGO Togo THA Thailand TJK Tajikistan TKL Tokelau TKM Turkmenistan TLS Timor-Leste TON Tonga TTO Trinidad And Tobago TUN Tunisia

60

TUR Turkey TUV Tuvalu TWN Taiwan, Province Of China TZA Tanzania, United Republic Of UGA Uganda UKR Ukraine UMI United States Minor Outlying

Islands URY Uruguay USA United States UZB Uzbekistan VAT Holy See (Vatican City State) VCT Saint Vincent And The Grenadines VEN Venezuela VGB Virgin Islands, British VIR Virgin Islands, U.S. VNM Viet Nam VUT Vanuatu WLF Wallis And Futuna WSM Samoa YEM Yemen ZAF South Africa ZMB Zambia ZWE Zimbabwe

Best Practices:


Data Type: STRING

Field Size: 2

Field Format:

Comments:



Data Standard Information: NIEM 2.0, NCIC, FBI

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61

SPECIAL THANKS AND END NOTES

Special Thanks Special thanks continue to be extended to the members of the Data Quality Steering Committee, along with the Pennsylvania County Criminal Justice Subject Matter Experts and the users of the county criminal justice records management systems. Document Revisions This document is intended to be a growing document; and as such will undergo revisions as necessary due to feedback and policy changes. Comments and Assistance For comments and / or assistance with this manual or questions regarding the data quality project, please contact any of the following individuals through The County Commissioners Association of Pennsylvania (CCAP), 717-526-1010 x3352. Amy Rehmeyer, Contracted Project Manager, [email protected] Mark Proper, Technical Specialist, [email protected] Rita Reynolds, Director, Technology Services, [email protected]

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