Net debt (% of GDP)

Data - IMF - FM

Author

Info

source	dataset	.html	.RData
imf	GGXWDN_G01_GDP_PT	2024-06-20	2024-05-06

Data on public debt

source	dataset	.html	.RData
eurostat	ei_mfir_m	2024-06-20	2024-06-08
eurostat	gov_10q_ggdebt	2024-06-20	2024-06-08
fred	r	2024-06-20	2024-06-07
fred	saving	2024-06-20	2024-06-07
gfd	debt	2021-08-22	2021-03-01
imf	FM	2024-06-20	2020-03-13
imf	GGXCNL_G01_GDP_PT	2024-06-20	2024-05-06
imf	GGXONLB_G01_GDP_PT	2024-06-20	2024-05-06
imf	GGXWDN_G01_GDP_PT	2024-06-20	2024-05-06
imf	HPDD	2024-06-20	NA
oecd	QASA_TABLE7PSD	2024-06-19	2024-04-15
wdi	GC.DOD.TOTL.GD.ZS	2023-06-18	2024-04-14
wdi	GC.XPN.INTP.CN	2023-06-18	2024-04-14
wdi	GC.XPN.INTP.RV.ZS	2023-06-18	2024-04-14
wdi	GC.XPN.INTP.ZS	2024-06-20	2024-04-14

LAST_COMPILE

LAST_COMPILE
2024-06-20

Last

TIME_PERIOD	FREQ	Nobs
2029	A	101

FREQ

Code

GGXWDN_G01_GDP_PT %>%
  left_join(FREQ, by =  "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

FREQ	Freq	Nobs
A	Annual	3317

REF_AREA

Code

GGXWDN_G01_GDP_PT %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Ref_area))),
         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 .}

TIME_PERIOD

Code

GGXWDN_G01_GDP_PT %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  print_table_conditional()

US, Zone Euro

All

Code

plot <- GGXWDN_G01_GDP_PT %>%
  filter(REF_AREA %in% c("US", "U2")) %>%
  year_to_date2 %>%
  filter(date >= as.Date("1999-01-01")) %>%
  left_join(REF_AREA,  by = "REF_AREA") %>%
  mutate(Ref_area = ifelse(REF_AREA == "U2", "Europe", "United States")) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  mutate(color = ifelse(REF_AREA == "US", color2, color)) %>%
  mutate(OBS_VALUE = OBS_VALUE/100) %>%
  rename(Counterpart_area = Ref_area) %>%
  #filter(date <= as.Date("2021-01-01")) %>%
  ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE, color = color)) + 
  theme_minimal() + xlab("") + ylab("Dette publique nette, % du PIB") +
  scale_color_identity() + add_2flags +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-10, 400, 10),
                     labels = percent_format(accuracy = 1))

save(plot, file = "GGXWDN_G01_GDP_PT_files/figure-html/US-U2-1.RData")

plot

Net Government Debt (% of GDP)

Code

GGXWDN_G01_GDP_PT %>%
  filter(TIME_PERIOD == "2018") %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  select(REF_AREA, Ref_area, OBS_VALUE) %>%
  arrange(-OBS_VALUE) %>%
  na.omit %>%
  mutate_at(vars(3), funs(paste0(round(as.numeric(.), 1), " %"))) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Ref_area))),
         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 .}

France, United States, Germany, Japan

Tous

Code

GGXWDN_G01_GDP_PT %>%
  filter(REF_AREA %in% c("FR", "US", "DE", "JP")) %>%
  year_to_date2 %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  rename(Counterpart_area = Ref_area) %>%
  #filter(date >= as.Date("2015-01-01")) %>%
  mutate(OBS_VALUE = OBS_VALUE/100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
  scale_color_identity() + add_4flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
  scale_x_date(breaks = as.Date(paste0(seq(1990, 2100, 5), "-01-01")),
               labels = date_format("%Y"))

2000-

Code

GGXWDN_G01_GDP_PT %>%
  filter(REF_AREA %in% c("FR", "US", "DE", "JP")) %>%
  year_to_date2 %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  rename(Counterpart_area = Ref_area) %>%
  filter(date >= as.Date("2000-01-01")) %>%
  mutate(OBS_VALUE = OBS_VALUE/100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Net public debt (years of GDP)") +
  geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
  scale_color_identity() + add_4flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
  scale_x_date(breaks = as.Date(paste0(seq(1990, 2100, 2), "-01-01")),
               labels = date_format("%Y"))

France, United States, Germany, Japan, Italy, Netherlands

Tous

Code

GGXWDN_G01_GDP_PT %>%
  filter(REF_AREA %in% c("FR", "US", "DE", "JP", "IT", "NL")) %>%
  year_to_date2 %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  rename(Counterpart_area = Ref_area) %>%
  #filter(date >= as.Date("2015-01-01")) %>%
  mutate(OBS_VALUE = OBS_VALUE/100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
  scale_color_identity() + add_6flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
  scale_x_date(breaks = as.Date(paste0(seq(1990, 2100, 5), "-01-01")),
               labels = date_format("%Y"))

2000-

Code

GGXWDN_G01_GDP_PT %>%
  filter(REF_AREA %in% c("FR", "US", "DE", "JP", "IT", "NL")) %>%
  year_to_date2 %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  rename(Counterpart_area = Ref_area) %>%
  filter(date >= as.Date("2000-01-01")) %>%
  mutate(OBS_VALUE = OBS_VALUE/100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Net public debt (years of GDP)") +
  geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
  scale_color_identity() + add_6flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
  scale_x_date(breaks = as.Date(paste0(seq(1990, 2100, 2), "-01-01")),
               labels = date_format("%Y"))