Manufacturing, value added (% of GDP) - NV.IND.MANF.ZS

Data - WDI

Last observation: 2025 (N = 169)

First observation: 1960 (N = 28)

Last data update: 05 sept. 2026, 01:08

Last compile: 06 sept. 2026, 15:06

Nobs - Javascript

Nobs - Max - Min

NV.IND.MANF.ZS |>
  left_join(iso2c, by = "iso2c") |>
  group_by(iso2c, Iso2c) |>
  mutate(value = round(value, 1)) |>
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Manufacturing Share 1 (%)` = first(value),
            `Year 2` = last(year),
            `Manufacturing Share 2 (%)` = last(value)) |>
  arrange(-`Manufacturing Share 2 (%)`) |>
  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 .}

Nobs

NV.IND.MANF.ZS |>
  left_join(iso2c, by = "iso2c") |>
  group_by(iso2c, Iso2c) |>
  summarise(Period = paste0(first(year), "-", last(year)),
            Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Afghanistan

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("AF")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + xlab("") + ylab("Manufacturing, value added (% of GDP)") + 
  geom_line(aes(x = date, y = value/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> 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))

Argentina

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("AR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + xlab("") + ylab("Manufacturing, value added (% of GDP)") + 
  geom_line(aes(x = date, y = value/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> 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))

Uruguay

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("UY")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + xlab("") + ylab("Manufacturing, value added (% of GDP)") + 
  geom_line(aes(x = date, y = value/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> 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))

Hungary

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("HU")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  ggplot() + xlab("") + ylab("Manufacturing, value added (% of GDP)") + 
  geom_line(aes(x = date, y = value/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 0.5),
                     labels = scales::percent_format(accuracy = 0.1))

OECD, World, Advanced

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "EU")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

Sweden, OECD, World, Advanced

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "EU", "SE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, Advanced, France, Germany

All

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "FR", "DE", "US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1995-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "FR", "DE", "US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, World, Advanced, France

All

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1995-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1995-2021

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01"),
         date <= as.Date("2021-01-01")) |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(color= ifelse(iso2c == "GB", "#012169", color)) |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

United Kingdom, United States, France, World, OECD

1995-2021

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01"),
         date <= as.Date("2021-01-01")) |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(color= ifelse(iso2c == "GB", "#012169", color)) |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

China

1995-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB", "CN")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, World, Advanced, France

All

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1997-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "1W", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1997-01-01")) |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

France, Germany, OECD

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("OE", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

China, France, Germany

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("CN", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Sweden, France, Germany

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("SE", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

China, India, France, Germany, Japan, US, UK

All

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("CN", "FR", "DE", "IN", "GB", "US", "JP")) |>
  left_join(iso2c, by = "iso2c") |>
  add_flag_color("Iso2c") |>
  year_to_date() |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

1990-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("CN", "FR", "DE", "IN", "GB", "US", "JP")) |>
  left_join(iso2c, by = "iso2c") |>
  add_flag_color("Iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1990-01-01")) |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Italy, Portugal, Spain

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("IT", "PT", "ES")) |>
  left_join(iso2c, by = "iso2c") |>
  add_flag_color("Iso2c") |>
  year_to_date() |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Germany, Switzerland, Netherlands

All

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("DE", "CH", "KR", "JP")) |>
  left_join(tibble(iso2c = c("DE", "CH", "KR", "JP"),
                   Iso2c = c("Germany", "Switzerland", "South Korea", "Japan")),
            by = "iso2c") |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

1995-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("DE", "CH", "KR", "JP")) |>
  left_join(tibble(iso2c = c("DE", "CH", "KR", "JP"),
                   Iso2c = c("Germany", "Switzerland", "South Korea", "Japan")),
            by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Italy, Portugal, Spain, Greece, France

All

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("IT", "PT", "ES", "GR", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + 
  geom_line(aes(x = date, y = value/100, color = Iso2c)) + 
  theme_minimal() +
  scale_color_manual(values = c("#002395", "#0D5EAF", "#009246", "#FF0000", "#FFC400")) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2007-01-01")) %>%
               mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Iso2c)), ".png")),
             aes(x = date, y = value/100, image = image), asp = 1.5) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)")

1995-

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("IT", "PT", "ES", "GR", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  ggplot() + 
  geom_line(aes(x = date, y = value/100, color = Iso2c)) + 
  theme_minimal() +
  scale_color_manual(values = c("#002395", "#0D5EAF", "#009246", "#FF0000", "#FFC400")) +
  theme(legend.position = "none") + 
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2016-01-01")) %>%
               mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Iso2c)), ".png")),
             aes(x = date, y = value/100, image = image), asp = 1.5) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)")

Spain, United Kingdom, United States

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("US", "GB")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

Argentina, Chile, Venezuela

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("AR", "CL", "VE")) |>
  left_join(tibble(iso2c = c("AR", "CL", "VE"),
                   Iso2c = c("Argentina", "Chile", "Venezuela")),
            by = "iso2c") |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Greece, Hong Kong, Mexico

NV.IND.MANF.ZS |>
  filter(iso2c %in% c("GR", "HK", "MX")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "HK", "Hong Kong", Iso2c)) |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Manufacturing, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + 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(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Related Data

Industry Data Overview

source	dataset	Title	Updated
wdi	NV.IND.MANF.ZS	Manufacturing, value added (% of GDP) - NV.IND.MANF.ZS	2026-09-04
ec	INDUSTRY	Industry (sector data) - INDUSTRY	2026-09-05
eurostat	nama_10_a64	National accounts aggregates by industry (up to NACE A*64) - nama_10_a64	2026-09-03
eurostat	nama_10_a64_e	National accounts employment data by industry (up to NACE A*64) - nama_10_a64_e	2026-09-04
eurostat	nama_10_gdp	GDP and main components (output, expenditure and income) - nama_10_gdp	2026-09-03
eurostat	namq_10_gdp	GDP and main components (output, expenditure and income) - namq_10_gdp	2026-09-04
eurostat	road_eqr_carmot	New registrations of passenger cars by type of motor energy and engine size - road_eqr_carmot	2026-09-03
eurostat	sts_inpr_m	Production in industry - monthly data - sts_inpr_m	2026-09-04
fred	industry	Manufacturing, Industry - industry	2026-09-01
ilo	EMP_2IND_NOC_RT_A	Industry as % of total employment – ILO modelled estimates, November 2019 - EMP_2IND_NOC_RT_A	2026-08-01
imf	DOT	Direction of Trade Statistics - DOT	2026-08-01
oecd	ALFS_EMP	Employment by activities and status (ALFS) - ALFS_EMP	2026-08-02
oecd	DP_LIVE	OECD Data Live dataset - DP_LIVE	2026-08-02
oecd	MEI_REAL	Production and Sales (MEI) - MEI_REAL	2026-08-02
oecd	MSTI_PUB	Main Science and Technology Indicators - MSTI_PUB	2026-08-02
oecd	QNA	Quarterly National Accounts - QNA	2026-09-04
oecd	QNA_manufacturing	QNA - Manufacturing - QNA_manufacturing	2026-08-02
oecd	SNA_TABLE1	Gross domestic product (GDP) - SNA_TABLE1	2026-08-02
oecd	SNA_TABLE4	PPPs and exchange rates - SNA_TABLE4	2026-08-02
oecd	SNA_TABLE6A	Value added and its components by activity, ISIC rev4 - SNA_TABLE6A	2026-08-02
oecd	SNA_TABLE6A_ARCHIVE	Value added and its components by activity, ISIC rev4, 2019 archive - SNA_TABLE6A_ARCHIVE	2026-08-02
wdi	NE.RSB.GNFS.ZS	External balance on goods and services (% of GDP) - NE.RSB.GNFS.ZS	2026-09-04
wdi	NV.IND.EMPL.KD	Industry, value added per worker (constant 2010 USD) - NV.IND.EMPL.KD	2026-09-04
wdi	NV.IND.MANF.CD	Manufacturing, value added (current USD) - NV.IND.MANF.CD	2026-09-04
wdi	NV.IND.TOTL.ZS	Industry, value added (including construction) (% of GDP) - NV.IND.TOTL.ZS	2026-09-04
wdi	PA.NUS.PPPC.RF	Price level ratio of PPP conversion factor (GDP) to market exchange rate - PA.NUS.PPPC.RF	2026-07-24
wdi	SL.IND.EMPL.ZS	Employment in industry (% of total employment) - SL.IND.EMPL.ZS	2026-09-04