Interest payments (% of expense)

Data - WDI

Author

François Geerolf

Info

LAST_COMPILE

LAST_COMPILE
2024-09-18

Nobs - Javascript

Code 
GC.XPN.INTP.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  rename(value = `GC.XPN.INTP.ZS`) %>%
  mutate(value = round(value, 2)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `HH Consumption 1 (%)` = first(value),
            `Year 2` = last(year),
            `HH Consumption 2 (%)` = last(value)) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

France, Germany, Italy

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.1, 0.9)) +
  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, 2),
                     labels = scales::percent_format(accuracy = 1))

Japan, Switzerland

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("JP", "CH")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.8, 0.9)) +
  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))

China, United States

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("CN", "US")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.9)) +
  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, 2),
                     labels = scales::percent_format(accuracy = 1))

China, France, Germany

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("CN", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.9)) +
  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, 2),
                     labels = scales::percent_format(accuracy = 1))

Spain, United Kingdom, United States

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("US", "GB", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.4, 0.9)) +
  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, 2),
                     labels = scales::percent_format(accuracy = 1))

Argentina, Chile, Venezuela

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("AR", "CL", "VE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.8, 0.9)) +
  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, 2),
                     labels = scales::percent_format(accuracy = 1))

Greece, Hong Kong, Mexico

Code 
GC.XPN.INTP.ZS %>%
  filter(iso2c %in% c("GR", "HK", "MX")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + theme_minimal() + geom_line() + 
  aes(x = date, y = GC.XPN.INTP.ZS/100, color = Iso2c, linetype = Iso2c) +
  xlab("") + ylab("Expense (% of GDP)") +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.8, 0.9)) +
  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, 2),
                     labels = scales::percent_format(accuracy = 1))