Industry, value added (including construction) (% of GDP) - NV.IND.TOTL.ZS

Data - WDI

Last observation: 2025 (N = 199)

First observation: 1960 (N = 50)

Last data update: 23 sept. 2026, 23:05

Last compile: 23 sept. 2026, 23:17

Nobs - Javascript

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

Crises in Emerging Markets (Source: Vegh (2013))

• Current Account. html
• Balance of Trade. html

1982: Southern Cone - Argentina, Chile, Uruguay

NV.IND.TOTL.ZS |>
  year_to_date() |>
  filter(iso2c %in% c("AR", "CL", "UY"),
         date >= as.Date("1976-01-01"),
            date <= as.Date("1986-01-01")) |>
  left_join(iso2c, by = "iso2c") |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 1) |> 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))

1994: Mexico

NV.IND.TOTL.ZS |>
  year_to_date() |>
  filter(iso2c %in% c("MX"),
         date <= as.Date("1999-01-01"),
         date >= as.Date("1989-01-01")) |>
  left_join(iso2c, by = "iso2c") |>
  ggplot() + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) |> 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)) +
  xlab("") + ylab("Industry, value added (% of GDP)")

1997: East Asia - Indonesia, Korea, Malaysia, Thailand

NV.IND.TOTL.ZS |>
  year_to_date() |>
  filter(iso2c %in% c("ID", "KR", "MY", "TH"),
         date <= as.Date("2002-01-01"),
         date >= as.Date("1992-01-01")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "KR", "South Korea", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 1) |> 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))

2001: Turkey

NV.IND.TOTL.ZS |>
  year_to_date() |>
  filter(iso2c %in% c("TR"),
         date <= as.Date("2006-01-01"),
         date >= as.Date("1996-01-01")) |>
  left_join(iso2c, by = "iso2c") |>
  ggplot() + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) |> 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)) +
  xlab("") + ylab("Industry, value added (% of GDP)")

2002: Uruguay

NV.IND.TOTL.ZS |>
  year_to_date() |>
  filter(iso2c %in% c("UY"),
         date <= as.Date("2008-01-01"),
         date >= as.Date("1996-01-01")) |>
  left_join(iso2c, by = "iso2c") |>
  ggplot() + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) |> 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)) +
  xlab("") + ylab("Industry, value added (% of GDP)")

Iceland

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("IS")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + geom_line(aes(x = date, y = value/100)) +
  xlab("") + ylab("Industry, value added (% of GDP)") + 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, 1),
                     labels = scales::percent_format(accuracy = 1))

Japan

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("JP")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + geom_line(aes(x = date, y = value/100)) +
  xlab("") + ylab("Industry, value added (% of GDP)") + 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, 1),
                     labels = scales::percent_format(accuracy = 1))

World, France, Germany

All

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("DE", "1W", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(value = value/100) |>
  ggplot() + xlab("") + ylab("Industry, value added (% of GDP)") +
  geom_line(aes(x = date, y = value, color = Iso2c)) + add_flags +
  theme_minimal() + scale_color_manual(values = c("#002395", "#DD0000", "#000000")) +
  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")) +
  scale_y_log10(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

1990-

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("DE", "1W", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1990-01-01")) |>
  mutate(value = value/100) |>
  ggplot() + xlab("") + ylab("Industry, value added (% of GDP)") +
  geom_line(aes(x = date, y = value, color = Iso2c)) + add_flags +
  theme_minimal() + scale_color_manual(values = c("#002395", "#DD0000", "#000000")) +
  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_log10(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

OECD, World, Advanced

NV.IND.TOTL.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("Industry, 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))

France, Germany, OECD

NV.IND.TOTL.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("Industry, 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.TOTL.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("Industry, 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))

Japan, Iceland, South Korea

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("JP", "IS", "KR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "KR", "South Korea", Iso2c)) |>
  year_to_date() |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, 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.TOTL.ZS |>
  filter(iso2c %in% c("ES", "IT", "PT")) |>
  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("Industry, 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))

Spain, United Kingdom, United States

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("US", "GB", "ES")) |>
  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("Industry, 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))

Argentina, Chile, Venezuela

NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("AR", "CL", "VE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
  add_flag_color("Iso2c") |>
  mutate(value = value/100) |>
  ggplot() + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, 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.TOTL.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("Industry, 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

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eurostat	road_eqr_carmot	New registrations of passenger cars by type of motor energy and engine size - road_eqr_carmot	2026-09-09
eurostat	sts_inpr_m	Production in industry - monthly data - sts_inpr_m	2026-09-17
fred	industry	Manufacturing, Industry - industry	2026-09-20
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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	2026-09-20
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	2026-09-20
wdi	NV.IND.EMPL.KD	Industry, value added per worker (constant 2010 USD) - NV.IND.EMPL.KD	2026-09-20
wdi	NV.IND.MANF.CD	Manufacturing, value added (current USD) - NV.IND.MANF.CD	2026-09-20
wdi	NV.IND.MANF.ZS	Manufacturing, value added (% of GDP) - NV.IND.MANF.ZS	2026-09-20
wdi	NV.IND.TOTL.ZS	Industry, value added (including construction) (% of GDP) - NV.IND.TOTL.ZS	2026-09-20
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	2026-09-20