Script for advanced statistical analysis of Refugee Registration database & assistance tracking
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Basic demographic variables
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Specific needs
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Case management events
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Individual assistance events
The package is designed to work on a standard query in the registration database that aggregates key variables at houshold levels
Many reports are already produced from proGres but they mostly look at univariate analysis, i.e each variable within the dataset is displayed one by one. The present document is an attempt to explore various dimensions interact between each others.
The information recorded in the Refugee Registration Database covers not only basic demographic characteristics but also identification of Specific Needs and recording of Events such as Resettlement Acceptation or Voluntary Departure. UNHCR Registration system is described in the Handbook for Registration and particularly in the annex 7 that displays the Standard Categories and Codes.
The used dataset correspond to the analysis of all cases (i.e. group of individuals registered together that often corresponds to a family unit or household) whose status is active within the database. Some of the indivdual information is kept for the head of household.
Variable | Description |
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Num_Inds | Number of Individual in the household |
Case.size | Size of the household - Discretisation & recategorisation of the Num_Inds variable |
Child_0_14 | Number of Child under 14 in the household |
Youth_15_17 | Number of Youth between 15 & 17 years old in the household |
Work_15_64 | Number of Working age Individual (15-) in the household |
Eldern_65 | Number of Working age Individual (15-) in the household |
dependency | Dependency Ratio (Child + Eldern / Working) |
youthdependency | Youth Dependency Ratio (Child + Eldern / Working) |
elederndependency | Youth Dependency Ratio (Child + Eldern / Working) |
Male | Number of Male in the Household |
Female | Number of Female in the Household |
female.ratio | % of Female in the Household categorised in 5 classes |
AVG_Age | Average age within the household |
AVGAgecohort | Average age within the household categorised in 5 classes |
STDEV_Age | Standard Deviation of ages within the household |
STDEVAgeclass | Standard Deviation of ages within the household categorised in 5 classes |
Variable | Description |
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dem_age | Age of the Head |
agecohort | Age of the head of Household categorised in 5 classes |
dem_sex | Sex of the head of Household |
dem_marriage | Marrital status of the head of Household. |
dem_marriagecat | Recategorisation of the dem_marriage variable |
dem_birth_country | Birth Country of the head of Household. |
occupation | Occupation type of the head of Household according to International Standard Classification of Occupations |
occupationcat | Recategorisation of the occupation variable |
edu_highest | Highest edcuation level of the head of Household |
edu_highestcat | Recategorisation of the edu_highest variable |
Variable | Description |
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CountryOrigin | Three letters code for Country of Origin. |
CountryOriginCategory | Recategorised Country of origin - classes with low numbers are aggregated. |
cool1 | Administrative level 1 in Country of Origin- classes with low numbers are aggregated. Unknown adresses are recorded as 'other'. |
CountryAsylum | Three letters code for Country of Asylum. |
coal1 | Administrative level 1 in Country of Asylum- classes with low numbers are aggregated. Unknown adresses are recorded as 'other'. |
Variable | Description |
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YearArrival | Year of Arrival |
YearArrivalCategory | Discretisation & recategorisation of the Year of Arrival variable |
Montharrival | Month of Arrival |
season | Discretisation & recategorisation of the Month of Arrival variable |
The Specific Needs Codes provide a standardized and exhaustive list of an individual’s particular characteristics, background, or risks that may provoke protection exigencies. UNHCR used the Heightened Risk Identification Tool to identify specific needs.
The 10 Categories below are then subdivided in finer categories.
Variable | Description |
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Unaccompanied.or.separated.child | Certain Unaccompanied & separated child applicants (under 18 years) |
Child.at.risk | Chidl at risk because of Child-headed household,special education needs. Not at School, in conflict with the law, etc. |
Woman.at.risk | Women with special needs or who are at risk in the host country. May include single women or women who are members of family or household, as well as women that are survivors of violence |
Older.person.at.risk | Elderly asylum-seekers without support in the host country |
Serious.medical.condition | Asylum-seekers who require urgent medical assistance |
Disability | Disabled asylum-seekers without necessary support |
SGBV | Victims of Sex & Gender Based Violence |
Single.parent | May be either a man or a woman. Also may be girl or a boy under the age of 18 years. |
Specific.legal.physical.protection.needs | Persons manifestly in need of protection intervention (i.e. with urgent protection needs in the host country) |
Torture | Victims of torture and persons suffering from trauma |
Family.unity | in need of Family Reunification |
You can install proGresAnalysis
from GitHub with:
# install.packages("devtools")
devtools::install_github("unhcr-americas/proGres-analysis")
Users are welcome to flag bugs and or submit feature request here
devtools::document()
devtools::check(document = FALSE)
pkgdown::build_site()
when analyzing registration data, based on the percentage of the population by sex, age group, and other factors, the following 10 questions can be used:
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Is it the same as the local population? Does it coincide with the data from the country of origin?
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Is there a higher-than-average percentage of women? Children? Older persons? Persons with disabilities?
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If one group, such as adult men or young children, seems under- or over-represented, find out why.
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Has the registration team been trained on how to identify and register groups with specific needs and persons at heightened risk?
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Have groups with specific needs been registered in detail in coordination with community services? If not, why not and how will this be done?
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Have those responsible for registration understood the criteria for unaccompanied and separated children?
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Does the population profile indicate potential protection risks for any particular group?
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Who might be at heightened risk? Why? What immediate action isbeing taken to protect these persons? Has a confidential, individual case-management system been established?
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Do you have data on the leadership structure? Are any groups,especially minorities, youth and women, not represented? If so, why?
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How does the socio-economic status and ethnic, linguistic and religious composition of the refugee population compare with that of the local host population?