Interest payments (current LCU)

Data - WDI

Author

Info

Data on public debt

Code

load_data("public-debt.RData")
`public-debt` %>%
  source_dataset_file_updates()

source	dataset	.html	.RData
eurostat	ei_mfir_m	2025-08-28	2025-08-28
eurostat	gov_10q_ggdebt	2025-08-28	2025-08-28
fred	r	2025-08-28	2025-08-28
fred	saving	2025-08-28	2025-08-28
gfd	debt	2021-08-22	2021-03-01
imf	FM	2025-08-28	2020-03-13
imf	GGXCNL_G01_GDP_PT	2025-08-28	2025-08-05
imf	GGXONLB_G01_GDP_PT	2025-08-28	2025-08-05
imf	GGXWDN_G01_GDP_PT	2025-08-28	2025-07-27
imf	HPDD	2025-08-28	NA
oecd	QASA_TABLE7PSD	2024-09-15	2025-05-24
wdi	GC.DOD.TOTL.GD.ZS	2023-06-18	2025-08-24
wdi	GC.XPN.INTP.CN	2025-08-28	2025-08-24
wdi	GC.XPN.INTP.RV.ZS	2023-06-18	2025-08-24
wdi	GC.XPN.INTP.ZS	2025-08-28	2025-08-24

LAST_COMPILE

LAST_COMPILE
2025-08-28

Last

Code

GC.XPN.INTP.CN %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()

year	Nobs
2024	2

Nobs - Javascript

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(value = round(100*value, 2)) %>%
  group_by(iso2c, Iso2c) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Interest 1` = first(value),
            `Year 2` = last(year),
            `Interest 2` = last(value)) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Ex: Interest Payments

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(interest_payments = round(100*`GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`, 2)) %>%
  arrange(-interest_payments) %>%
  mutate(interest_payments = interest_payments %>% round(digits = 2) %>% paste0(" %")) %>%
  select(iso2c, Iso2c, interest_payments) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Argentina, Mexico, Lebanon

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("AR", "MX", "LB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "PT", color2, color)) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

Argentina, Portugal, Spain

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("PT", "IT", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "PT", color2, color)) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

Italy, Portugal, Spain

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("PT", "IT", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "PT", color2, color)) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1))

Greece, Iceland, Denmark

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("GR", "IS", "DK")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  #filter(date >= min(date), !is.na(GC.XPN.INTP.CN), !is.na(NY.GDP.MKTP.CN)) %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "PT", color2, color)) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.85)) +
  add_3flags +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

France, Italy, Germany

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("FR", "CH", "IT")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "FR", color2, color)) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  add_3flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1))

United States, United Kingdom, Japan

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("JP", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "FR", color2, color)) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  theme(legend.title = element_blank(),
        legend.position = c(0.8, 0.2)) +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

Lebanon, Brazil, Jamaica

Code

GC.XPN.INTP.CN %>%
  bind_rows(NY.GDP.MKTP.CN) %>%
  spread(variable, value) %>%
  mutate(value = `GC.XPN.INTP.CN`/`NY.GDP.MKTP.CN`) %>%
  filter(iso2c %in% c("LB", "BR", "JM")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  group_by(Iso2c) %>%
  complete(date = seq.Date(min(date), max(date), by = "year")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "FR", color2, color)) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + add_3flags + scale_color_identity() +
  xlab("") + ylab("Interest Payments (% of GDP)") +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")