Quarterly government debt

Data - Eurostat

Author

François Geerolf

Info

source dataset .html .RData
eurostat gov_10q_ggdebt 2024-11-17 2024-11-17

Data on public debt

source dataset .html .RData
eurostat ei_mfir_m 2024-11-17 2024-11-17
eurostat gov_10q_ggdebt 2024-11-17 2024-11-17
fred r 2024-11-09 2024-11-09
fred saving 2024-11-17 2024-11-17
gfd debt 2021-08-22 2021-03-01
imf FM 2024-06-20 2020-03-13
imf GGXCNL_G01_GDP_PT 2024-11-17 2024-11-17
imf GGXONLB_G01_GDP_PT 2024-11-17 2024-11-17
imf GGXWDN_G01_GDP_PT 2024-10-29 2024-05-06
imf HPDD 2024-06-20 NA
oecd QASA_TABLE7PSD 2024-09-15 2024-11-16
wdi GC.DOD.TOTL.GD.ZS 2023-06-18 2024-09-18
wdi GC.XPN.INTP.CN 2023-06-18 2024-09-18
wdi GC.XPN.INTP.RV.ZS 2023-06-18 2024-09-18
wdi GC.XPN.INTP.ZS 2024-09-18 2024-09-18

LAST_COMPILE

LAST_COMPILE
2024-11-17

Last

Code 
gov_10q_ggdebt %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2024Q2 7227

unit

Code 
gov_10q_ggdebt %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
unit Unit Nobs
MIO_NAC Million units of national currency 187059
MIO_EUR Million euro 186133
PC_GDP Percentage of gross domestic product (GDP) 184671
PC_TOT Percentage of total 156850

sector

Code 
gov_10q_ggdebt %>%
  left_join(sector, by = "sector") %>%
  group_by(sector, Sector) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
sector Sector Nobs
S13 General government 151843
S1312 State government 148542
S1314 Social security funds 137778
S1313 Local government 134212
S1311 Central government 134116
S13111 Budgetary central government 3921
S13112 Central government other than budgetary central government 3375
S11001 Public non-financial corporations 926

na_item

Code 
gov_10q_ggdebt %>%
  left_join(na_item, by = "na_item") %>%
  group_by(na_item, Na_item) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

geo

Code 
gov_10q_ggdebt %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

time

Code 
gov_10q_ggdebt %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

EA-19, Deficit

Code 
gov_10q_ggdebt %>%
  filter(time %in% c("2022Q3", "2015Q1"),
         sector == "S13",
         unit == "PC_GDP",
         na_item == "GD") %>%
  select(geo, time, values) %>%
  spread(time, values) %>%
  left_join(geo, by = "geo") %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, Geo, geo, everything()) %>%
  arrange(-`2022Q3`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Last

Debt

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD") %>%
  group_by(geo) %>%
  filter(time == max(time)) %>%
  left_join(geo, by = "geo") %>%
  select_if(~ n_distinct(.) > 1) %>%
  arrange(values) %>%
  select(geo, Geo, everything()) %>%
  print_table_conditional()

Italy, Portugal, Greece, France, Europe

Gross Debt

2005-

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "EL", "FR", "EA19")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  mutate(values = values / 100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2005-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_5flags +
  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, 2025, 2), "-01-01")),
               labels = date_format("%Y"))

Luxembourg, Denmark, Sweden, Netherlands, Germany, France

All

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("NL", "LU", "DK", "SE", "FR")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values / 100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_5flags +
  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(1700, 2050, 2), "-01-01")),
               labels = date_format("%Y"))

France, Germany

All

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("FR", "DE")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values / 100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_2flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
                     labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
  scale_x_date(breaks = as.Date(paste0(seq(1700, 2050, 2), "-01-01")),
               labels = date_format("%Y"))

France, Germany, Italy, Spain, Netherlands

All

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("FR", "DE", "IT", "ES", "NL")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values / 100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_5flags +
  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(1700, 2050, 2), "-01-01")),
               labels = date_format("%Y"))

Italy, Portugal, Spain, Greece, Belgium, France

All

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "ES", "EL", "BE", "FR")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values / 100) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, 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(1700, 2050, 2), "-01-01")),
               labels = date_format("%Y"))

2005

Years of GDP

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "ES", "EL", "BE", "FR", "EA19")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  mutate(values = values / 100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2005-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_7flags +
  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, 2025, 2), "-01-01")),
               labels = date_format("%Y"))

2015

Years of GDP

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "NL", "ES", "FR", "EA19")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  mutate(values = values / 100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2015-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, 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(2015, 2025, 1), "-01-01")),
               labels = date_format("%Y"))

% of GDP…

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "ES", "EL", "BE", "FR", "EA19")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  mutate(values = values / 100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2015-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (% of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_7flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::percent_format()) +
  scale_x_date(breaks = as.Date(paste0(seq(2015, 2025, 1), "-01-01")),
               labels = date_format("%Y"))

2019

Years of GDP

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "NL", "ES", "FR", "EA19")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  mutate(values = values / 100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2019-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_6flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank(),
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
  scale_x_date(breaks = "3 months",
               labels = date_format("%b %Y"))

% of GDP…

Code 
gov_10q_ggdebt %>%
  filter(sector == "S13",
         unit == "PC_GDP",
         na_item == "GD",
         geo %in% c("IT", "PT", "ES", "EL", "FR", "EA19")) %>%
  left_join(geo, by = "geo") %>%
  quarter_to_date() %>%
  mutate(values = values / 100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2019-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Public debt (% of GDP)") +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_6flags +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank(),
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
                     labels = scales::percent_format()) +
  scale_x_date(breaks = "3 months",
               labels = date_format("%b %Y"))