PRIF-Statistical-Definitions-Document (1).pdf
PDF 5 MB Posted
- Attached to
- 2023 Notification of Funding Opportunity - Formative Research on Child Trafficking in Nepal
- Opportunity number
- SFOP0009867
About this file
This document provides statistical definitions to guide researchers in measuring the prevalence of human trafficking. It defines key terms like sex trafficking, forced labor, and stock and flow estimates. Statistical definitions are provided for sex trafficking and forced labor of both children and adults. Definitions cover elements like acts, means, and purpose as defined in the Palermo Protocol. An indicator table outlines factors researchers should examine to identify instances of various acts and means of trafficking. The document was created by the U.S. Department of State with input from researchers. It aims to standardize measurement and validate different estimation methods being used in prevalence research projects funded by the State Department in several countries.
The related federal grant opportunity is a 2023 Notice of Funding from the Department of State seeking applications for formative research on child trafficking in Nepal. The solicitation number is SFOP0009867. Funding is provided through the International Programs to Combat Human Trafficking program (CFDA #19.019), which is overseen by the Department of State Bureau of Democracy, Human Rights, and Labor. The notice involves collection of qualitative data to inform future prevalence research on child trafficking in Nepal.
Defintions
View the file
Other files
| File | Type | Posted |
|---|---|---|
| Project Narrative Formative Research - Nepal.docx | DOCX document | |
| Annex G - Security, Risk Mitigation, and Contingency Plan.docx | DOCX document | |
| Annex D - Budget Summary.xlsx | XLSX spreadsheet | |
| Annex C - Timeline.xlsx | XLSX spreadsheet | |
| Annex F - Budget Narrative Example.docx | DOCX document | |
| Annex E - Line Item Budget Template.xlsx | XLSX spreadsheet | |
| Annex B - Results Monitoring Plan (RMP).xlsx | XLSX spreadsheet | |
| Annex A - Summary of Research Methods (1).docx | DOCX document | |
| FAQs for Formative Research Nepal NOFO (1).pdf | ||
| Guidelines for Submitting Proposals to the TIP Office for Formative Research in Nepal (1).pdf | ||
| 2023 Formative Research on Child Trafficking in Nepal NOFO.pdf |
Show all 11
On GovTribe
Work with this file
- Download the original file
- Contacts named in this file
- Similar government files
- Ask GovTribe AI about this file
Text version
Human Trafficking Statistical Definitions 1
Human Trafficking STaTiSTical DefiniTionS
Prevalence Reduction Innovation Forum July 2020
A Gift of the United States Government
| The | Prevalence | Reduction | Innovation | Forum | on | human | trafficking | project | would | not | have | been | possible | without | the | gen- | ||
| erous | financial | support | of | the | US | Department | of | State | Office | to | Monitor | and | Combat | Trafficking | in | Persons | (TIP | Office), |
| Program | to | End | Modern | Slavery. | The | Prevalence | Forum | is | funded | under | US | Department | of | State | grant | # | SSJTIP18CA0032. |
| The | Prevalence | Forum | evolved | from | the | need | to | move | the | conversation | on | human | trafficking | prevalence | research | to | a | |
| more | reliable | science. | The | first | forum | was | held | on | May | 20-22, | 2020 | and | brought | together | close | to | 1,000 | participants |
| from | across | the | world | in | interrogating | the | current | human | trafficking | prevalence | estimation | methods. | The | specific | aims | of | ||
| the | Prevalence | Forum | are | to: |
| • Identify | and | build | the | capacity | of | human | trafficking | research | teams | in | the | design, | testing, | and | dissemination | of |
| human | trafficking | prevalence | data |
• Document the robustness of various methodological approaches in human trafficking prevalence research
| The | creation | of | this | Statistical | Definitions | document | was | designed | to | guide | the | work | by | researchers | in | the | Prevalence | |
| Forum | project. | The | TIP | Office | and | the | African | Programming | and | Research | Initiative | to | End | Slavery | at | the | University | of |
| Georgia | with | valuable | input | from | lawyers | at | the | US | Department | of | State | as | well | as | Prevalence | Forum | researchers | and |
| partners | conceptualized | the | Statistical | Definitions | Toolkit. | The | TIP | Office, | David | Okech | (University | of | Georgia), | and | Lydia | |||
| Aletraris | (University | of | Georgia) | jointly | developed | this | Statistical | Definitions | document. | Special | thanks | to | Lisa | Johnston, | ||||
| Katherine | McLaughlin, | and | Ian | Fellows | of | the | Hard-to-Reach-Populations | Research | Methods | Group | for | consulting | on | |||||
| some | of | the | definitions | and | Macartan | Humphreys | of | Columbia | University | and | WBZ | Social | Science | Center | in | Berlin, | Ger- | |
| many. | Elyssa | Schroeder | was | instrumental | in | formatting | the | document | and | including | the | graphics. |
| The | development | of | this | Toolkit | also | would | not | have | been | possible | without | the | participation | of | these | Prevalence | Reduc- | |
| tion | principal | investigators | (in | alphabetical | order): | Meredith | Dank, | Kareem | Kysia, | Yuki | Lo, | Grant | Miller, | Courtland | Robin- | |||
| son, | Sheldon | Zhang, | and | Clifford | Zinnes. | Their | dedication | to | this | project | was | evidenced | in | their | generous | contributions | ||
| and | their | thoughtful | commentary | and | feedback. | To | them, | the | Prevalence | Forum | offers | its | appreciation | and | gratitude | |||
| and | looks | forward | to | a | wonderful | partnership | as | we | validate | the | various | prevalence | estimation | methods | in | Brazil, | Costa | |
| Rica, | Morocco, | Pakistan, | Tanzania, | and | Tunisia. | Other | Prevalence | Forum | activities | will | include | field-testing | of | at | least | two | ||
| methods | in | a | trafficking | hot-spot | within | these | countries, | the | second | innovation | forum | to | present | and | assess | results | from | |
| the | field, | and | the | production | and | dissemination | of | a | book, | special | issue | journal | edition, | and | a | meta-analysis | that | includes |
| a | cost-benefit | analysis | of | the | various | estimation | methods. |
Prevalence Reduction Innovation Forum Grantees and Projects acknowleDgemenTS
| To | cite | this | document: | US | Department | of | State | Office | to | Monitor | and | Combat | Trafficking | in | Persons, | Okech, | D., | Aletraris, |
| L., | & | Schroeder, | E. | (2020). | Human trafficking statistical definitions: Prevalence Reduction Innovation Forum. | University | of | |||||||||||
| Georgia | African | Programming | and | Research | Initiative | to | End | Slavery | & | The | US | Department | of | State | Office | to | Monitor | and |
| Combat | Trafficking | in | Persons. |
Copyright © 2020 African Programming Research Initiative to End Slavery
The Freedom Fund - Child Sex Trafficking in Brazil Dr. Ana Brito (Oswaldo Cruz Foundation) and Yuki Lo
Stanford University - Forced Labor in Brazil Dr. Grant Miller
| NORC | at | the | University | of | Chicago | - | Domestic |
| Servitude | in | Morocco |
Dr. Clifford Zinnes and Kareem Kysia
John Hopkins University - Forced Labor in Pakistan Dr. Courtland Robinson
University of Massachusetts Lowell - Domestic Servitude in Tunisia Dr. Sheldon Zhang
| John | Jay | College | of | Criminal | Justice | - | Forced | Labor | in | Costa |
| Rica | and | Domestic | Servitude | in | Tanzania |
Dr. Meredith Dank
Human Trafficking Statistical Definitions 3
Table of conTenTS
Introduction
Statistical Definitions Sex Trafficking, Child, Flow Sex Trafficking, Child, Stock Sex Trafficking or Forced Labor, Adult, Flow Sex Trafficking or Forced Labor, Adult, Stock Forced Labor, Child, Flow Forced Labor, Child, Stock Indicator Table
Human Trafficking Statistical Definitions 4
i. inTroDucTion
| This | guidance | presents | statistical | definitions | of | human | trafficking | that | are | intended | to | guide | researchers | and | |||
| organizations | that | seek | to | measure | the | prevalence | of | human | trafficking | for | research | or | programmatic | eval- | |||
| uation. | It | can | be | used | with | a | variety | of | estimation | techniques | but | is | chiefly | targeted | towards | probabilistic | or |
| non-probabilistic | survey-based | measurements. | Researchers | and | organizations | may | adapt | it | to | other | method- | ||||||
| ologies, | as | needed | and | appropriate. | “Human | trafficking,” | “trafficking | in | persons,” | and | “modern | slavery” | are | ||||
| umbrella | terms | used | to | refer | to | both | sex | trafficking | and | forced | or | “compelled” | labor. | This | guidance | defines | sex |
| trafficking | and | forced | labor | and | explains | how | to | operationalize | them | for | quantitative | research | purposes. | It | will | ||
| also | describe | how | to | frame | prevalence | estimates | and | other | useful | sources | of | information. |
| Human | trafficking | occurs | when | a | trafficker | compels | someone | to | provide | labor | or | services | or | to | engage | in | com- | ||
| mercial | sex, | or | prostitution, | through | the | use | of | force, | fraud, | or | coercion, | or | abduction, | deception, | or | the | abuse | ||
| of | power | or | a | position | of | vulnerability, | or | when | a | trafficker | causes | a | child | to | engage | in | commercial | sex | (wheth- |
| er | or | not | force, | fraud, | or | coercion | are | used). | The | coercion | can | be | subtle | or | overt, | physical | or | psychological. | |
| Human | trafficking | can | include, | but | does | not | require, | movement. | People | may | be | considered | trafficking | victims | |||||
| regardless | of | whether | they | were | born | into | a | state | of | servitude, | experienced | exploitation | in | their | home | town, | |||
| traveled | to | the | exploitative | situation, | previously | consented | to | work | for | a | trafficker, | or | participated | in | a | crime | as | ||
| a | direct | result | of | being | trafficked. |
| This | definition | is | based | on | the | Protocol | to | Prevent, | Suppress | and | Punish | Trafficking | in | Persons | Especially | Wom- | |||
| en | and | Children, | supplementing | the | United | Nations | Convention | against | Transnational | Organized | Crime, | also | |||||||
| known | as | the | Palermo | Protocol, | which | was | adopted | by | the | United | Nations | General | Assembly | in | November | ||||
| 2000. | It | is | also | based | on | the | United | States | Trafficking | Victims | Protection | Act | of | 2000, | as | amended. | It | is | intend- |
| ed | to | be | adapted | in | a | broad | variety | of | contexts | that | may | implicate | different | laws | on | human | trafficking. | It | is |
| important | to | note | that | this | statistical | definition | does | not | include | organ | trafficking | but | does | include | forced | mar- | |||
| riage | only | if | it | is | for | the | purpose | of | forced | labor | or | commercial | sex. | However, | estimates | of | forced | marriage | and |
| organ | trafficking | are | welcome | to | be | used | alongside | this | estimate. | This | definition | is | targeted | at | the | measure- | |||
| ment | of | victims, | not | perpetrators. | It | uses | the | general | framework | from | the | Palermo | Protocol | whereby | human | ||||
| trafficking | comprises | three | elements: | Acts, | Means, | and | Purpose: |
| • Acts: | recruitment, | transportation, | transfer, | harboring, | receipt, | patronizing, | or | soliciting1 | |||||||
| • Means: force | or | other | forms | of | coercion, | abduction, | fraud, | deception, | the | abuse | of | power | or | a | position |
| of | vulnerability | ||||||||||||||
| • Purpose: | exploitation | of | the | prostitution | of | others | or | other | forms | of | sexual | exploitation, | forced | labor | or |
services, slavery or practices similar to slavery, servitude.
| The | prevalence | of | human | trafficking | will | be | reported | as | a | percent | of | the | general | or | reference | population | in | the | ||
| specified | geographic | area, | sector, | and/or | industry. | It | should | also | be | reported | in | terms | of | the | number | of | per- | |||
| sons | in | human | trafficking | at | the | given | point | of | time | per | one | thousand | persons. | Human | trafficking | is | not | only | ||
| the | acts | but | also | the | coercive | means | and | the | exploitation, | and | if | any | part | of | the | trafficking | scheme | is | current, | |
| then | it | is | current, | and | does | not | depend | just | on | when | the | acts | happened. | Stock | is | a | current | estimate | of | the |
| number | of | victims | of | trafficking. | Flow | is | the | number | of | victims | of | trafficking | during | a | specific | period | of | time. | ||
| While | all | teams | are | expected | to | capture | and | provide | prevalence | estimates, | where | inappropriate, | there | is | no | |||||
| requirement | for | teams | to | measure | flow | and | stock. |
1 The Acts of “patronizing” and “soliciting” only apply to the crime of sex trafficking.
Human Trafficking Statistical Definitions 5
| For | the | purposes | of | this | statistical | definition, | and | sex | trafficking | in | particular, | sex | includes | genital | or | anal | con- | |||||
| tact | or | penetration | of | a | person, | regardless | of | whether | such | contact | or | penetration | is | genital, | oral, | or | manual. | |||||
| Sex | trafficking | can | include | virtual | situations, | such | as | when | a | trafficker | pays | to | watch | a | trafficking | victim | engag- | |||||
| ing | in | a | sex | act, | including | self-masturbation. | Sex | trafficking | is | not | limited | to | situations | involving | a | third-party | ||||||
| who | profits | from | the | act | (such | as | a | pimp | or | a | madam), | but | can | also | occur | when | the | victim | interacts | only | with | a |
| customer/buyer. | Commercial | sex | occurs | when | anything | of | value | is | given | to | or | received | by | any | person | for | sex. | In | ||||
| addition | to | paying | directly | for | sex, | other | examples | of | commercial | sex | may | include | paying | for | overpriced | items | ||||||
| in | exchange | for | sex, | or | paying | for | or | waiving | school | fees | in | exchange | for | sex. | Prostitution | is | an | activity | that | is | ||
| inherently | commercial | and | is | captured | in | this | statistical | definition | by | the | terms | commercial | sex. | Compelled | ||||||||
| erotic | performances | that | do | not | involve | sex | acts | would | be | excluded | from | sex | trafficking | estimates, | but | may | be | |||||
| included | under | forced | labor | estimates. | In | addition, | many | cases | of | domestic | servitude | involve | sexual | abuse, | but | |||||||
| would | typically | be | classified | as | forced | labor | and | not | sex | trafficking. |
| For | both | forced | labor | and | sex | trafficking, | the | trafficker | can | be | someone | who | is | unknown | to | the | victim | or | with |
| whom | they | have | an | intimate | or | personal | relationship. | The | type | of | relationship | between | the | trafficker | and | the | |||
| victim, | even | if | familial, | is | not | relevant | to | establish | an | instance | of | trafficking | in | persons. | Familial | relationships, | |||
| including | involving | biological | parents, | adopted | parents, | siblings, | or | close | family | members, | should | not | prohibit | ||||||
| an | instance | of | trafficking | from | being | counted. |
| The | U.S. | Agency | for | International | Development | (USAID) | Demographic | Health | Survey | age | categories | for | children | ||
| are | broken | down | into | these | categories: | 0-9, | 10-14, | 15-17. | When | researching | children, | we | recommend | the | fol- |
| lowing | age | categories | wherever | applicable: | 5-9, | 10-14, | 15-17. |
| Whenever | possible, | the | uncertainty | associated | with | an | estimate | should | be | quantified | and | reported, | for | exam- | ||
| ple | by | providing | a | confidence | interval | (CI), | credible | interval, | or | range | of | plausible | values. | Standard | values | are |
| 95% | CI | and | 5% | margin | of | error. |
| This | definition | is | also | informed | by | the | USAID | Demographic | and | Health | Surveys | format | and | the | “Hard | to | See, |
| Harder | to | Count” | guidelines | published | by | the | International | Labor | Organization | in | 2012. |
Human Trafficking Statistical Definitions 6
STaTiSTical DefiniTionS
II. Sex Trafficking, Child, Flow
Coverage:
| • Population base: | Total | population | size | of | children | during | the | specified | reference | time | period. |
| • Time period: In | the | last | year | or | two | years. |
| Handling of Missing Values: Our | goal | is | to | make | powered | as | well | as | correct | inferences | from | the | survey. | A | ||||||
| threat | to | this | goal | is | missing | data. | Survey | items | with | missing | information | should | be | assessed | to | determine, | to | |||
| the | best | of | the | researchers’ | ability, | if | the | missingness | is | completely | at | random | or | if | it | depends | in | some | way | on |
| the | characteristics | of | the | persons. | If | the | missingness | is | completely | at | random, | persons | with | missing | informa- | |||||
| tion | are | excluded | from | both | the | numerator | and | the | denominator. | Otherwise, | a | context-appropriate | procedure | |||||||
| to | adjust | for | missingness, | such | as | multiple | imputation, | should | be | used. | In | cases | where | the | percent | missing | is | |||
| deemed | substantial, | researchers | should | present | both | unadjusted | and | adjusted | estimates. | In | all | cases, | the | per- | ||||||
| cent | missing | as | well | as | the | pattern | of | missingness | should | be | reported. |
| A | person | does | not | need | to | be | excluded | from | a | calculation | when | their | missing | survey | item(s) | do | not | impact | |
| their | categorization. | For | example, | utilizing | the | "Indicator | Table” | from | section | VIII, | if | a | person | has | DD2=1 | but | |||
| has | missing | items | for | all | EP | categories, | they | would | already | be | counted | in | the | numerator | and | their | responses | to | |
| the | EP | categories | do | not | change | that. | This | person | does | not | need | to | be | excluded | even | though | they | have | some |
| missing | items. |
| Definition: Percentage | of | children | who | were | recruited, | transported, | transferred, | harbored, | re- | ||||||||||
| ceived, | patronized, | or | solicited | for | commercial | sex | at | some | point | during | the | specified | reference | ||||||
| period | of | either | one | year | or | two | years. | Commercial | sex | occurs | when | anything | of | value | is | given | |||
| to | or | received | by | any | person | for | sex. | A | child | is | defined | as | any | person | under | the | age | of | 18. |
| Numerator: | The | total | number | of | children | who | identified | as | having | engaged | in | commercial | sex | at | some |
| point | in | the | last | year | or | two | years. |
Denominator: The total number of children in the same reference time frame as the numerator.
Calculation: Numerator divided by denominator multiplied by 100.
III. Sex Trafficking, Child, Stock
| Definition: | Percentage | of | children | who | were | recruited, | transported, | transferred, | harbored, | |||||
| received, | patronized, | or | solicited | for | the | current | provision | of | commercial | sex | at | a | given | point |
| in | time. | A | child | is | defined | as | any | person | under | the | age | of | 18.“ |
Coverage:
| • Population base: | Total | population | size | of | children. |
| • Time period: Current | status | at | time | of | survey. |
Human Trafficking Statistical Definitions 7
Numerator: The total number of children who identified as having engaged in commercial sex.
Denominator: The total number of children in the research geographic target area.
Calculation: Numerator divided by denominator multiplied by 100.
| Handling of Missing Values: Our | goal | is | to | make | powered | as | well | as | correct | inferences | from | the | survey. | A | ||||||
| threat | to | this | goal | is | missing | data. | Survey | items | with | missing | information | should | be | assessed | to | determine, | to | |||
| the | best | of | the | researchers’ | ability, | if | the | missingness | is | completely | at | random | or | if | it | depends | in | some | way | on |
| the | characteristics | of | the | persons. | If | the | missingness | is | completely | at | random, | persons | with | missing | informa- | |||||
| tion | are | excluded | from | both | the | numerator | and | the | denominator. | Otherwise, | a | context-appropriate | procedure | |||||||
| to | adjust | for | missingness, | such | as | multiple | imputation, | should | be | used. | In | cases | where | the | percent | missing | is | |||
| deemed | substantial, | researchers | should | present | both | unadjusted | and | adjusted | estimates. | In | all | cases, | the | per- | ||||||
| cent | missing | as | well | as | the | pattern | of | missingness | should | be | reported. |
| A | person | does | not | need | to | be | excluded | from | a | calculation | when | their | missing | survey | item(s) | do | not | impact | |
| their | categorization. | For | example, | utilizing | the | "Indicator | Table” | from | section | VIII, | if | a | person | has | DD2=1 | but | |||
| has | missing | items | for | all | EP | categories, | they | would | already | be | counted | in | the | numerator | and | their | responses | ||
| to | the | EP | categories | do | not | change | that. | This | person | does | not | need | to | be | excluded | even | though | they | have |
| some | missing | items. |
IV. Sex Trafficking or Forced Labor, Adult, Flow
| Definition: Percentage | of | adults | who | were | recruited, | transported, | transferred, | harbored, | re- | ||||||
| ceived, | patronized, | or | solicited2 | for | forced | labor | or | commercial | sex | through | the | use | of | force, | |
| fraud, | or | coercion | at | some | point | during | the | specified | reference | period | of | either | one | year | or |
| two | years. |
2 The Acts of “patronizing” and “soliciting” only apply to the crime of sex trafficking.
Human Trafficking Statistical Definitions 8
V. Sex Trafficking or Forced Labor, Adult, Stock
| Definition: Percentage | of | adults | were | recruited, | transported, | transferred, | harbored, | received, | |||||||
| patronized, | or | solicited3 | for | forced | labor | or | commercial | sex | through | the | use | of | force, | fraud, | or |
| coercion | at | a | given | point | in | time.“ |
Coverage:
| • Population base: | Total | population | size | of | persons | 18 | years | of | age | or | over. |
| • Time period: Current | status | at | time | of | survey. |
3 The Acts of “patronizing” and “soliciting” only apply to the crime of sex trafficking.
| Handling of Missing Values: Our | goal | is | to | make | powered | as | well | as | correct | inferences | from | the | survey. | A | ||||||
| threat | to | this | goal | is | missing | data. | Survey | items | with | missing | information | should | be | assessed | to | determine, | to | |||
| the | best | of | the | researchers’ | ability, | if | the | missingness | is | completely | at | random | or | if | it | depends | in | some | way | on |
| the | characteristics | of | the | persons. | If | the | missingness | is | completely | at | random, | persons | with | missing | informa- | |||||
| tion | are | excluded | from | both | the | numerator | and | the | denominator. | Otherwise, | a | context-appropriate | procedure | |||||||
| to | adjust | for | missingness, | such | as | multiple | imputation, | should | be | used. | In | cases | where | the | percent | missing | is | |||
| deemed | substantial, | researchers | should | present | both | unadjusted | and | adjusted | estimates. | In | all | cases, | the | per- | ||||||
| cent | missing | as | well | as | the | pattern | of | missingness | should | be | reported. |
| A | person | does | not | need | to | be | excluded | from | a | calculation | when | their | missing | survey | item(s) | do | not | impact | |
| their | categorization. | For | example, | utilizing | the | "Indicator | Table” | from | section | VIII, | if | a | person | has | DD2=1 | but | |||
| has | missing | items | for | all | EP | categories, | they | would | already | be | counted | in | the | numerator | and | their | responses | to | |
| the | EP | categories | do | not | change | that. | This | person | does | not | need | to | be | excluded | even | though | they | have | some |
| missing | items. |
| Numerator: | The | total | number | of | persons | 18 | years | of | age | or | over | identified | as | having | experienced | at |
| some | point | in | the | last | year, | or | two | years: |
| • DD2/V2/FM3 | = | 1 | or; | ||||||||||
| • 2 | or | more | Strong | R/EP/PL/DC/FM/DD/V=1 | from | different | categories | or; | |||||
| • Strong | R/EP/PL/DC/FM/DD/V | =1 | and | 3 | or | more | medium | R/EP/PL/DC/FM/DD/V | =1; | and | |||
| • Engaged | in | commercial | sex | or | labor | services | at | some | point | during | the | specified | reference |
period.
Denominator: The total number of adults in the same reference time frame as the numerator.
Calculation: Numerator divided by denominator multiplied by 100.
Coverage:
• Population base: Total population size of persons 18 years of age or over during the specified refer-
| ence | period. | |||||
| • Time period: In | the | last | year | or | two | years. |
Human Trafficking Statistical Definitions 9
VI. Forced Labor, Child, Flow
| Definition:Percentage | of | children | who | were | recruited, | transported, | transferred, | harbored, | or | |||||||
| received | for | forced | labor | through | the | use | of | force, | fraud, | or | coercion | at | some | point | during | the |
| specified | reference | period | of | either | one | year | or | two | years. | A | child | is | defined | as | any | person |
| under | the | age | of | 18. | We | expect | researchers | to | distinguish | child | work | from | child | labor | and | the |
| worst | forms | of | child | labor. | For | example, | in | many | non-Western | cultures, | school-going | children | ||||
| are | expected | to | work | long | hours | in | the | home, | farm, | or | family | business. |
Coverage:
• Population base: Total population size of persons under the age of 18 during the specified reference period.
• Time period: In the last year or two years.
| Handling of Missing Values: Our | goal | is | to | make | powered | as | ||||||||||||
| well | as | correct | inferences | from | the | survey. | A | threat | to | this | ||||||||
| goal | is | missing | data. | Survey | items | with | missing | information | should | be | assessed | to | determine, | to | the | best | of | the |
| researchers’ | ability, | if | the | missingness | is | completely | at | random | or | if | it | depends | in | some | way | on | the | characteris- |
| tics | of | the | persons. | If | the | missingness | is | completely | at | random, | persons | with | missing | information | are | excluded | ||
| from | both | the | numerator | and | the | denominator. | Otherwise, | a | context-appropriate | procedure | to | adjust | for | miss- | ||||
| ingness, | such | as | multiple | imputation, | should | be | used. | In | cases | where | the | percent | missing | is | deemed | substan- | ||
| tial, | researchers | should | present | both | unadjusted | and | adjusted | estimates. | In | all | cases, | the | percent | missing | as | |||
| well | as | the | pattern | of | missingness | should | be | reported. |
| A | person | does | not | need | to | be | excluded | from | a | calculation | when | their | missing | survey | item(s) | do | not | impact | |
| their | categorization. | For | example, | utilizing | the | "Indicator | Table” | from | section | VIII, | if | a | person | has | DD2=1 | but | |||
| has | missing | items | for | all | EP | categories, | they | would | already | be | counted | in | the | numerator | and | their | responses | ||
| to | the | EP | categories | do | not | change | that. | This | person | does | not | need | to | be | excluded | even | though | they | have |
| some | missing | items. |
| Numerator: | Number | of | persons | 18 | years | of | age | or |
| over | identified | as | currently | experiencing: |
| • DD2/V2/FM3 | = | 1 | or; | |
| • 2 | or | more | Strong | R/EP/PL/DC/FM/DD/V=1 |
| from | different | categories | or; | ||
| • Strong | R/EP/PL/DC/FM/DD/V | =1 | and | 3 | or |
| more | medium | R/EP/PL/DC/FM/DD/V | =1; | and | |
| • Currently | engaged | in | commercial | sex | or |
labor services.
| Denominator: The | total | number | of | adults | in | the |
| research | geographic | target | area. |
| Calculation: Numerator | divided | by | denominator | multiplied |
| by | 100. |
Human Trafficking Statistical Definitions 10
Coverage:
| • Population base: | Total | population | size | of | persons | under | the | age | of | 18. |
| • Time period: Current | status | at | time | of | survey. |
Calculation: Numerator divided by denominator multiplied by 100.
| Numerator: | Number | of | persons | under | the | age | of | 18 | identified | as | currently | experiencing: |
| • DD2/V2/FM3 | = | 1 | or; | |||||||||
| • 2 | or | more | Strong | R/EP/PL/DC/FM/DD/V=1 | from | different | categories | or; | ||||
| • Strong | R/EP/PL/DC/FM/DD/V | =1 | and | 3 | or | more | medium | R/EP/PL/DC/FM/DD/V | =1; | and | ||
| • Currently | engaged | in | labor | services. |
Denominator: The total number of children in a research geographic target area.
VII. Forced Labor, Child, Stock
| Definition:Percentage | of | children | who | were | recruited, | transported, | transferred, | harbored, | or | re- | ||||||||
| ceived | for | forced | labor | using | force, | fraud, | or | coercion | at | a | given | point | in | time. | A | child | is | defined |
| as | any | person | under | the | age | of | 18. | “ |
| Handling of Missing Values: Our | goal | is | to | make | powered | as | well | as | correct | inferences | from | the | survey. | A | ||||||
| threat | to | this | goal | is | missing | data. | Survey | items | with | missing | information | should | be | assessed | to | determine, | to | |||
| the | best | of | the | researchers’ | ability, | if | the | missingness | is | completely | at | random | or | if | it | depends | in | some | way | on |
| the | characteristics | of | the | persons. | If | the | missingness | is | completely | at | random, | persons | with | missing | informa- | |||||
| tion | are | excluded | from | both | the | numerator | and | the | denominator. | Otherwise, | a | context-appropriate | procedure | |||||||
| to | adjust | for | missingness, | such | as | multiple | imputation, | should | be | used. | In | cases | where | the | percent | missing | is | |||
| deemed | substantial, | researchers | should | present | both | unadjusted | and | adjusted | estimates. | In | all | cases, | the | per- | ||||||
| cent | missing | as | well | as | the | pattern | of | missingness | should | be | reported. |
| A | person | does | not | need | to | be | excluded | from | a | calculation | when | their | missing | survey | item(s) | do | not | impact | |
| their | categorization. | For | example, | utilizing | the | "Indicator | Table” | from | section | VIII, | if | a | person | has | DD2=1 | but | |||
| has | missing | items | for | all | EP | categories, | they | would | already | be | counted | in | the | numerator | and | their | responses | to | |
| the | EP | categories | do | not | change | that. | This | person | does | not | need | to | be | excluded | even | though | they | have | some |
| missing | items. |
Calculation: Numerator divided by denominator multiplied by 100.
| Numerator: | Number | of | persons | under | the | age | of | 18 | identified | as | having | experiencing | at | some | point |
| over | the | past | year | or | two | years: |
| • DD2/V2/FM3 | = | 1 | or; | ||||||||
| • 2 | or | more | Strong | R/EP/PL/DC/FM/DD/V=1 | from | different | categories | or; | |||
| • Strong | R/EP/PL/DC/FM/DD/V | =1 | and | 3 | or | more | medium | R/EP/PL/DC/FM/DD/V | =1; | and | |
| • Engaged | in | labor | services | at | some | point | during | the | specified | reference | period. |
Denominator: The total number of children in the same reference time frame as the numerator.
Human Trafficking Statistical Definitions 11
VIII. Indicator Table
| The | “Purpose” | from | the | Palermo | Protocol | should | be | gathered | by | researchers | via | questionnaires. | When | there | is | ||||
| not | an | explicit | reference | to | labor | or | commercial | sex | within | the | indicator, | researchers | should | tie | that | indicator | |||
| to | the | purpose. | For | instance, | if | an | individual | is | made | to | engage | in | illicit | activities | (Indicator | DC3 | below), | it | will |
| be | incumbent | on | the | researcher | to | ensure | through | other | survey | questions | or | research | design | mechanisms | that | ||||
| the | illicit | activities | have | an | economic | purpose. | If | there | is | no | economic | purpose, | be | it | labor | or | commercial | sex, | |
| then | this | indicator | cannot | apply | towards | a | situation | of | trafficking. | Resulting | information | will | be | included | in | the | |||
| prevalence | calculation. |
| The | indicators | listed | below | describe | the | “Acts” | and | “Means” | required | by | the | Palermo | Protocol; | often | the | Acts | ||||
| and | Means | may | both | be | present | in | the | same | fact | patterns. | This | list | is | not | intended | to | be | exhaustive. | For | each |
| trafficking | situation | listed | above | in | the | definition, | researchers | will | create | questions | that | reflect | the | below | ||||||
| indicators | based | on | the | given | trafficking | circumstance | they | are | trying | to | measure. | Researchers | do | not | need | to | ||||
| include | questions | for | all | indicators | in | their | surveys, | and | should | select | indicators | and | relevant | thresholds | from | |||||
| indicators | as | appropriate | based | on | formative | research. | Please | note | that | the | below | indicators | are | not | part | of | ||||
| the | numerator | for | instances | of | children | engaged | in | commercial | sex, | and | questions | for | such | children | should | not | ||||
| focus | on | force, | fraud, | or | coercion. |
| Handling of Missing Values: | Our | goal | is | to | make | powered | as | well | as | correct | inferences | from | the | survey. | A | ||||
| threat | to | this | goal | is | missing | data. | Survey | items | with | missing | information | should | be | assessed | to | determine, | |||
| to | the | best | of | the | researchers’ | ability, | if | the | missingness | is | completely | at | random | or | if | it | depends | in | some |
| way | on | the | characteristics | of | the | persons. | If | the | missingness | is | completely | at | random, | persons | with | missing | |||
| information | are | excluded | from | both | the | numerator | and | the | denominator. | Otherwise, | a | context-appropriate | |||||||
| procedure | to | adjust | for | missingness, | such | as | multiple | imputation, | should | be | used. | In | cases | where | the | percent | |||
| missing | is | deemed | substantial, | researchers | should | present | both | unadjusted | and | adjusted | estimates. | In | all | cas- | |||||
| es, | the | percent | missing | as | well | as | the | pattern | of | missingness | should | be | reported. |
| A | person | does | not | need | to | be | excluded | from | a | calculation | when | their | missing | survey | item(s) | do | not | impact | |
| their | categorization. | For | example, | utilizing | the | "Indicator | Table” | from | section | VIII, | if | a | person | has | DD2=1 | but | |||
| has | missing | items | for | all | EP | categories, | they | would | already | be | counted | in | the | numerator | and | their | responses | ||
| to | the | EP | categories | do | not | change | that. | This | person | does | not | need | to | be | excluded | even | though | they | have |
| some | missing | items. |
Human Trafficking Statistical Definitions 12
Categories Code Type Indicator Recruitment R1 Strong Coercive recruitment (abduction, confinement during the
| recruitment | process) | |||||
| R2 Strong Deceptive | recruitment | (nature | of | services | or | responsibilities |
required) R3 Medium Deceptive recruitment (regarding working conditions, con-
| tent | or | legality | of | relevant | contract, | housing | and | living | con- |
| ditions, | legal | documentation | or | acquisition | of | legal | status, | ||
| location | or | employer, | compensation/benefits, | promise | of |
marriage/love)
R4 Medium Paid recruitment fees
Employment Practices and
Penalties
| EP1 Strong Had | your | pay, | other | promised | compensation | and/or | benefits | ||
| withheld | and | if | you | leave | you | will | not | get | them |
| EP2 Strong High | or | increasing | debt | related | to | an | employer | or | other |
| person | who | controls | earnings | (by | falsification | of | accounts, | ||
| inflated | prices | for | goods/services | purchased, | reduced | value | |||
| of | goods/services | produced, | excessive | interest | rate | on | loans, |
etc.)
| EP3 Medium High | or | increasing | debt | related | to | a | recruiter, | intermediary | or |
| other | individual | (by | falsification | of | accounts, | inflated | prices | ||
| for | goods/services | purchased, | reduced | value | of | goods/ser- | |||
| vices | produced, | excessive | interest | rate | on | loans, | etc.) |
EP4 Medium Made to work overtime beyond legal limits
| EP5 Medium Made | to | perform | additional | services | or | responsibilities | (be- |
| yond | what | was | agreed) | without | due | compensation |
| EP6 Medium Ever | not | received | or | had | withheld | promised | wages, | benefits, |
| or | other | compensation. |
EP7 Medium Recruitment linked to debt (advance or loan)
EP8 Medium Absence of a formal contract
Personal Life and Properties
| PL1 Strong Another | individual | has | control | over | any | meaningful | part | of |
| your | personal | life | (i.e. | blackmail, | religious | retribution, | or | |
| exclusion | from | future | employment, | community, | personal | or | ||
| social | life, | etc.) |
| PL2 Strong Another | individual | has | transferred | control | over | any | meaning- |
| ful | part | of | your | personal | life. |
| PL3 Strong Made | to | work | or | engage | in | commercial | sex | for | in | order | to |
| repay | outstanding | debt | or | wage | advance |
| PL4 Medium Made | to | work | or | engage | in | commercial | sex | for | employer’s |
| private | home | or | family |
| PL5 Medium Confiscation | of | mobile | phones | or | other | communication | ||
| methods | as | a | way | to | have | control | over | you. |
Human Trafficking Statistical Definitions 13
Degrading Conditions
| DC1 Strong Made | to | be | available | day | and | night | without | adequate | com- |
| pensation | outside | of | the | scope | of | the | contract |
| DC2 Medium Made | to | complete | hazardous | and/or | arduous | services | with- |
| out | proper | protective | gear |
DC3 Strong Made to engage in illicit activities
| DC4 Medium Made | to | live | in | degrading | conditions | e.g. | housing | or | shelter |
| is | unclean, | provides | no | privacy, | or | is | otherwise | insufficient | in |
| a | way | that | harms | your | health |
Freedom of Movement
FM1 Strong Confiscation of or loss of access to identity papers or travel documents
| FM2 Strong Constant | surveillance | of | personal | spaces | by | employer, | re- |
| cruiter, | or | other | individuals |
FM3 Strong No freedom of movement and communication
| FM4 Medium Limited | freedom | of | movement | and | communication | i.e. | su- |
| pervised | communication, | movement | restricted | or | surveilled | ||
| during | off-hours. |
FM5 Medium Constant surveillance of place of work
Debt or Dependency
DD1 Strong Had a debt imposed on you without your consent
DD2 Strong Tradition, birth/descent into hereditary slavery or bonded status
| DD3 Medium Pre-existence | of | an | intimate | or | dependent | relationship | such |
| as | romantic | or | familial | relationship |
DD4 Medium Unable to refuse to provide services
Violence and Threats of Violence
V1 Strong Physical violence inflicted in front of you on other individuals
| V2 Strong Ever | been | sold | or | witness | ownership | of | another | person | in |
| your | situation | being | sold | for | labor | or | for | sex |
V3 Strong Physical violence against you or someone you care deeply about
V4 Strong Sexual violence against you or someone you care deeply about
| V5 Medium Threat | of | denunciation | to | authorities | against | you | or | some- |
| one | you | care | deeply | about |
| V6 Medium Emotional/psychological | abuse | against | you | or | someone | you |
| care | deeply | about |
V7 Medium Threat of harm to your personal or professional reputation
V8 Medium Threats of violence against you or someone you care deeply about
Human Trafficking Statistical Definitions 14
File details come from the government source that posted it. Updated .