Biggest decrease in Refugee Population • unhcrdatapackage

Load Packages

library(tidyverse)

Prepare Data

## Loading the stat tables
lastyear <- max(unhcrdatapackage::end_year_population_totals_long$Year)
tenyears <- lastyear -10
data <- dplyr::left_join( x= unhcrdatapackage::end_year_population_totals_long, 
                                                     y= unhcrdatapackage::reference, 
                                                     by = c("CountryAsylumCode" = "iso_3")) %>%
    filter(Population.type  == "REF")  %>%
    filter(Year == tenyears | Year == lastyear) %>%
    group_by( CountryAsylumName, Year) %>%
    summarise(Value2 = sum(Value) )  %>%
    select(CountryAsylumName, Year, Value2) %>% 
  mutate(CountryAsylumName = str_replace(CountryAsylumName, " \\(Bolivarian Republic of\\)", ""),
        CountryAsylumName = str_replace(CountryAsylumName, "Iran \\(Islamic Republic of\\)", "Iran"),
        CountryAsylumName = str_replace(CountryAsylumName, "United Kingdom of Great Britain and Northern Ireland", "UK")) %>% 
    mutate(Year = paste0("year_",Year )) %>%
    spread(Year, Value2) %>%
    mutate(gap = year_2011 - year_2021) %>%
    arrange(desc(gap)) %>%
    head(10) %>%
    gather(key = Year, 
           value = Value2,
           -CountryAsylumName,
           -gap) 
#> `summarise()` has grouped output by 'CountryAsylumName'. You can override using the `.groups` argument.

Generate Plot

#Make plot
ggplot(data, 
       aes(x = reorder(CountryAsylumName, gap),
           y = Value2, 
          fill = as.factor(Year))) +
  
  coord_flip() +
  geom_bar(stat = "identity", position = "dodge") +
  geom_hline(yintercept = 0, size = 1, colour = "#333333") +
  scale_fill_manual(values = c("#0072bc", "#FAAB18")) +
  labs(title = "Biggest Decrease of Population",
       subtitle = paste0("10 Biggest change in Refugee Population, ", tenyears," - ",lastyear), 
       x="", y ="",
       caption = "UNHCR https://www.unhcr.org/refugee-statistics/") +
  scale_y_continuous( label = scales::label_number_si()) + ## Format axis number
  unhcRstyle::unhcr_theme() + ## Insert UNHCR Style
  theme(panel.grid.major.x = element_line(color = "#cbcbcb"), 
        panel.grid.major.y = element_blank()) ### changing grid line that should appear