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In the absence of an internationally agreed methodology for calculating recognition rates, UNHCR uses two rates to compute the proportion of refugee claims accepted during the year:

* The Refugee Recognition Rate divides the number of asylum-seekers granted Convention refugee status by the total number of accepted (Convention and, where relevant, complementary protection) and rejected cases (aka substantive decision).

* The Total Recognition Rate divides the number of asylum-seekers granted Convention refugee status and / or complementary form of protection by the total number of accepted (Convention and, where relevant, complementary protection) and rejected cases.

Non-substantive decisions are, to the extent possible, excluded from both calculations. For the purpose of international comparability, UNHCR only uses these two recognition rates and does not report nationally calculated rates.

See https://www.unhcr.org/4ce531e09.pdf

Usage

plot_ctr_recognition(
  year = 2022,
  country_asylum_iso3c,
  top_n_countries = 10,
  measure = "RefugeeRecognitionRate",
  order_by = "TotalDecided"
)

Arguments

year

Numeric value of the year

country_asylum_iso3c

Character value with the ISO-3 character code of the Country of Asylum

top_n_countries

Numeric value of number of main countries that the graph should display

measure

this can be either: * RefugeeRecognitionRate * TotalRecognitionRate

order_by

this can be either: * Recognized * ComplementaryProtection * TotalDecided

Value

a ggplot2 object

Examples

plot_ctr_recognition(year = 2022,
                     country_asylum_iso3c = "USA",
                     top_n_countries = 10, 
                     measure = "RefugeeRecognitionRate",
                     order_by = "TotalDecided" )