Total natural resources rents (% of GDP) - NY.GDP.TOTL.RT.ZS

Data - WDI

~/data/wdi/

Nobs - Javascript

NY.GDP.TOTL.RT.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  rename(value = `NY.GDP.TOTL.RT.ZS`) %>%
  mutate(value = round(value, 2)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Rent 1 (%)` = first(value),
            `Year 2` = last(year),
            `Rent 2 (%)` = last(value)) %>%
  arrange(-`Rent 2 (%)`) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Iso2c))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Norway, Angola, Mexico, Gabon

NY.GDP.TOTL.RT.ZS %>%
  filter(iso2c %in% c("NO", "AO", "MX", "GA")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(value = NY.GDP.TOTL.RT.ZS/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + 
  scale_color_identity() + add_4flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9),
        legend.direction = "horizontal") +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Total natural resources rents (% of GDP)")

Kuwait, Iraq, Libya

NY.GDP.TOTL.RT.ZS %>%
  filter(iso2c %in% c("KW", "IQ", "LY")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(value = NY.GDP.TOTL.RT.ZS/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + 
  scale_color_identity() + add_3flags + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.9),
        legend.direction = "horizontal") +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Total natural resources rents (% of GDP)")

China, France, Germany

NY.GDP.TOTL.RT.ZS %>%
  filter(iso2c %in% c("CN", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(value = NY.GDP.TOTL.RT.ZS/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + 
  scale_color_identity() + add_3flags + theme_minimal() +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Total natural resources rents (% of GDP)")

Spain, United Kingdom, United States

NY.GDP.TOTL.RT.ZS %>%
  filter(iso2c %in% c("US", "GB", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(value = NY.GDP.TOTL.RT.ZS/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + 
  scale_color_identity() + add_3flags + theme_minimal() +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Total natural resources rents (% of GDP)")

Argentina, Chile, Venezuela

NY.GDP.TOTL.RT.ZS %>%
  filter(iso2c %in% c("AR", "CL", "VE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) %>%
  year_to_date %>%
  mutate(value = NY.GDP.TOTL.RT.ZS/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + 
  scale_color_identity() + add_3flags + theme_minimal() +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Total natural resources rents (% of GDP)")

Greece, Hong Kong, Mexico

NY.GDP.TOTL.RT.ZS %>%
  filter(iso2c %in% c("GR", "HK", "MX")) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(Iso2c = ifelse(iso2c == "HK", "Hong Kong", Iso2c)) %>%
  year_to_date %>%
  mutate(value = NY.GDP.TOTL.RT.ZS/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + 
  scale_color_identity() + add_3flags + theme_minimal() +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Total natural resources rents (% of GDP)")