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

Data - WDI

Author

François Geerolf

Info

source dataset .html .RData
wdi NV.IND.TOTL.ZS 2025-01-31 2025-05-24

Data on industry

source dataset .html .RData
ec INDUSTRY 2025-01-05 2023-10-01
eurostat ei_isin_m 2025-05-18 2025-05-18
eurostat htec_trd_group4 2025-05-18 2025-05-18
eurostat nama_10_a64 2025-05-24 2025-05-24
eurostat nama_10_a64_e 2025-05-24 2025-05-24
eurostat namq_10_a10_e 2025-05-24 2025-05-24
eurostat road_eqr_carmot 2025-05-18 2025-05-18
eurostat sts_inpp_m 2024-06-24 2025-05-18
eurostat sts_inppd_m 2025-05-18 2025-05-18
eurostat sts_inpr_m 2025-05-18 2025-05-18
eurostat sts_intvnd_m 2025-05-24 2025-05-24
fred industry 2025-05-18 2025-05-18
oecd ALFS_EMP 2024-04-16 2025-05-24
oecd BERD_MA_SOF 2024-04-16 2023-09-09
oecd GBARD_NABS2007 2024-04-16 2023-11-22
oecd MEI_REAL 2024-05-12 2025-05-24
oecd MSTI_PUB 2024-09-15 2025-05-24
oecd SNA_TABLE4 2024-09-15 2025-03-09
wdi NV.IND.EMPL.KD 2024-01-06 2025-03-09
wdi NV.IND.MANF.CD 2025-05-24 2025-05-24
wdi NV.IND.MANF.ZS 2025-01-31 2025-03-09
wdi NV.IND.TOTL.KD 2024-01-06 2025-03-09
wdi NV.IND.TOTL.ZS 2025-01-31 2025-05-24
wdi SL.IND.EMPL.ZS 2025-01-31 2025-03-09
wdi TX.VAL.MRCH.CD.WT 2024-01-06 2025-03-09

LAST_COMPILE

LAST_COMPILE
2025-05-24

Last

Code 
NV.IND.TOTL.ZS %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()
year Nobs
2023 217

Nobs - Javascript

Code 
NV.IND.TOTL.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  rename(value = `NV.IND.TOTL.ZS`) %>%
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_4flags +
  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 = NV.IND.TOTL.ZS/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 = NV.IND.TOTL.ZS/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 = NV.IND.TOTL.ZS/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 = NV.IND.TOTL.ZS/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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + xlab("") + ylab("Industry, value added (% of GDP)") +
  geom_line(aes(x = date, y = value, color = Iso2c)) + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + xlab("") + ylab("Industry, value added (% of GDP)") +
  geom_line(aes(x = date, y = value, color = Iso2c)) + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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 = NV.IND.TOTL.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Industry, value added (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  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))