Industry, value added (including construction) (% of GDP)

Data - WDI

Author

François Geerolf

Info

Last observation: 2025 (N = 11,347)

First observation: 1960 (N = 11,347)

Last data update: 13 aoû 2026, 22:43. Last compile: 13 aoû 2026, 23:29

Info

source dataset Title .html .rData
wdi NV.IND.TOTL.ZS Industry, value added (including construction) (% of GDP) 2026-08-12 2026-08-12

Data on industry

source dataset Title .html .rData
wdi NV.IND.TOTL.ZS Industry, value added (including construction) (% of GDP) 2026-08-12 2026-08-12
ec INDUSTRY Industry (sector data) 2026-08-12 2026-08-01
eurostat ei_isin_m Industry - monthly data - index (2015 = 100) (NACE Rev. 2) - ei_isin_m 2026-08-13 2026-08-12
eurostat htec_trd_group4 High-tech trade by high-tech group of products in million euro (from 2007, SITC Rev. 4) 2026-08-13 2026-08-12
eurostat nama_10_a64 National accounts aggregates by industry (up to NACE A*64) 2026-08-13 2026-08-13
eurostat nama_10_a64_e National accounts employment data by industry (up to NACE A*64) 2026-08-13 2026-08-12
eurostat namq_10_a10_e Employment A*10 industry breakdowns 2026-08-13 2026-08-12
eurostat road_eqr_carmot New registrations of passenger cars by type of motor energy and engine size - road_eqr_carmot 2026-08-13 2026-08-13
eurostat sts_inpp_m Producer prices in industry, total - monthly data 2026-08-13 2026-08-12
eurostat sts_inppd_m Producer prices in industry, domestic market - monthly data 2026-08-13 2026-08-12
eurostat sts_inpr_m Production in industry - monthly data 2026-08-13 2026-08-13
eurostat sts_intvnd_m Turnover in industry, non domestic market - monthly data - sts_intvnd_m 2026-08-13 2026-08-12
fred industry Manufacturing, Industry 2026-08-12 2026-08-12
oecd ALFS_EMP Employment by activities and status (ALFS) 2026-08-13 2026-08-02
oecd BERD_MA_SOF Business enterprise R&D expenditure by main activity (focussed) and source of funds 2026-08-13 2026-08-02
oecd GBARD_NABS2007 Government budget allocations for R and D 2026-08-13 2026-08-02
oecd MEI_REAL Production and Sales (MEI) 2026-08-13 2026-08-02
oecd MSTI_PUB Main Science and Technology Indicators 2026-08-13 2026-08-02
oecd SNA_TABLE4 PPPs and exchange rates 2026-08-13 2026-08-02
wdi NV.IND.EMPL.KD Industry, value added per worker (constant 2010 USD) 2026-08-12 2026-08-12
wdi NV.IND.MANF.CD Manufacturing, value added (current USD) 2026-08-12 2026-08-12
wdi NV.IND.MANF.ZS Manufacturing, value added (% of GDP) 2026-08-12 2026-08-12
wdi NV.IND.TOTL.KD Industry (including construction), value added (constant 2015 USD) - NV.IND.TOTL.KD 2026-08-12 2026-08-12
wdi SL.IND.EMPL.ZS Employment in industry (% of total employment) 2026-08-12 2026-08-12
wdi TX.VAL.MRCH.CD.WT Merchandise exports (current USD) 2026-08-12 2026-08-12

LAST_COMPILE

LAST_COMPILE
2026-08-13

Last

Code 
NV.IND.TOTL.ZS |>
  group_by(year) |>
  summarise(Nobs = n()) |>
  arrange(desc(year)) |>
  head(1) |>
  print_table_conditional()
year Nobs
2025 199

Nobs - Javascript

Code 
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

Code 
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") |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
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

Code 
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)) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
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

Code 
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

Code 
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

Code 
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

Code 
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-

Code 
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

Code 
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)) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
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)) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("CN", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
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() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("ES", "IT", "PT")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
NV.IND.TOTL.ZS |>
  filter(iso2c %in% c("US", "GB", "ES")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
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)) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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

Code 
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() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  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))