Last observation: 2025 (N = 252)
First observation: 1960 (N = 201)
Last data update: 23 sept. 2026, 23:08
Last compile: 23 sept. 2026, 23:26
Nobs - Javascript
Code
TX.VAL.MRCH.CD.WT |>
left_join(iso2c, by = "iso2c") |>
group_by(iso2c, Iso2c) |>
mutate(value = round(value/(10^9))) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`GDP 1 (Bn)` = first(value) %>% paste0("$ ", .),
`Year 2` = last(year),
`GDP 2 (Bn)` = last(value) %>% paste0("$ ", .)) |>
arrange(-Nobs) |>
mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
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 .}2018 GDP by Country
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c |>
filter((region != "Aggregates") & (region != "NA")),
by = "iso2c") |>
group_by(iso2c, Iso2c) |>
mutate(value = round(value/(10^9))) |>
summarise(`GDP (Bn)` = last(value)) |>
arrange(-`GDP (Bn)`) %>%
mutate(`GDP (Bn)` = `GDP (Bn)` %>% paste0("$ ", ., " Bn")) |>
mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
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 .}2018 GDP by Country and Aggregates
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
group_by(iso2c, Iso2c) |>
mutate(value = round(value/(10^9))) |>
summarise(`GDP (Bn)` = last(value)) |>
arrange(-`GDP (Bn)`) %>%
mutate(`GDP (Bn)` = `GDP (Bn)` %>% paste0("$ ", ., " Bn")) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}Illustration
Netherlands, Belgium, Switzerland, Turkey, Poland, Sweden
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "CH", "BE", "NL", "PO", "SE", "TR")) |>
year_to_date() |>
group_by(date) |>
mutate(value = value/value[iso2c == "1W"]) |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() + xlab("") + ylab("% of Merchandise exports") +
geom_line(aes(x = date, y = value, color = color)) +
geom_image(data = . %>%
filter(date == as.Date("1967-01-01")) %>%
mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Iso2c)), ".png")),
aes(x = date, y = value, image = image), asp = 1.5) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 0.2),
labels = scales::percent_format(accuracy = .1),
limits = 0.01*c(0, 2))
Germany, France, Italy, United Kingdom, Spain
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "DE", "FR", "IT", "ES", "GB")) |>
year_to_date() |>
group_by(date) |>
mutate(value = value/value[iso2c == "1W"]) |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() + xlab("") + ylab("% of Merchandise exports") +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 2),
labels = scales::percent_format(accuracy = 1))
Brazil, Mexico, Argentina
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "BR", "MX", "AR")) |>
year_to_date() |>
group_by(date) |>
mutate(value = value/value[iso2c == "1W"]) |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() + xlab("") + ylab("% of Merchandise exports") +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 0.5),
labels = scales::percent_format(accuracy = .1))
China, E.U., U.S.
All
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "US", "CN", "EU")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "EU", "Europe", Iso2c)) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 5),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% des exportations mondiales")
1990-
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "US", "CN", "EU")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "EU", "Europe", Iso2c)) |>
filter(date >= as.Date("1990-01-01")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% of Merchandise exports")
1995-
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "US", "CN", "EU")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "EU", "Europe", Iso2c)) |>
filter(date >= as.Date("1995-01-01")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB mondial")
1996-
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "US", "CN", "EU")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "EU", "Europe", Iso2c)) |>
filter(date >= as.Date("1996-01-01")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1996, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 2),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 35)) +
xlab("") + ylab("% du PIB mondial")
2005-
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "US", "CN", "EU")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "EU", "Europe", Iso2c)) |>
filter(date >= as.Date("2005-01-01")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 5),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 30)) +
xlab("") + ylab("% of Merchandise exports")
South Korea, Russia, Indonesia
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "ID", "KR", "RU")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "KR", "South Korea", Iso2c)) |>
mutate(Iso2c = ifelse(iso2c == "RU", "Russia", Iso2c)) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() + xlab("") + ylab("% of Merchandise exports") +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 1),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 4))
Japan, India, United Kingdom
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "IN", "JP", "GB")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 2),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 20)) +
xlab("") + ylab("% of Merchandise exports")
Germany, France, Italy
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "DE", "FR", "IT")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 2),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 10)) +
xlab("") + ylab("% of Merchandise exports")
Eurozone, United States
All
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "XC", "US")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 5),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 50)) +
xlab("") + ylab("% of Merchandise exports")
1990-
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "XC", "US")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W"),
date >= as.Date("1990-01-01")) |>
mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 5),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 35)) +
xlab("") + ylab("% of Merchandise exports")
2005-
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "XC", "US")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W"),
date >= as.Date("2005-01-01")) |>
mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() + add_flags +
geom_line(aes(x = date, y = value, color = color)) +
scale_x_date(breaks = seq(1950, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 5),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 35)) +
xlab("") + ylab("% of Merchandise exports")
Germany, Japan, United Kingdom
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "JP", "DE", "GB")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 3),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 20)) +
xlab("") + ylab("% of Merchandise exports")
United Kingdom, France, Italy
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "GB", "FR", "IT")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 1),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 8)) +
xlab("") + ylab("% of Merchandise exports")
Brazil, Russia, India
Code
TX.VAL.MRCH.CD.WT |>
right_join(iso2c, by = "iso2c") |>
filter(iso2c %in% c("1W", "BR", "RU", "IN")) |>
group_by(year) |>
mutate(value = value/value[iso2c == "1W"]) |>
year_to_date() |>
filter(!(iso2c == "1W")) |>
mutate(Iso2c = ifelse(iso2c == "RU", "Russia", Iso2c)) |>
add_flag_color("Iso2c") |>
ggplot() + theme_minimal() + scale_color_identity() +
geom_line(aes(x = date, y = value, color = color)) +
add_flags +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.85)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 70, 1),
labels = scales::percent_format(accuracy = 1),
limits = 0.01*c(0, 5)) +
xlab("") + ylab("% of Merchandise exports")