Industry (sector data) - INDUSTRY

Data - ec

Author

François Geerolf

Last observation: mai 2023 (N = 528) · Q2 2023 (N = 923)

First observation: Q1 1985 (N = 186) · janv. 1985 (N = 191)

Last data update: 01 août 2026, 21:12

Last compile: 05 sept. 2026, 00:59

sector

Code 
INDUSTRY |>
  group_by(sector, Sector) |>
  summarise(Nobs = n()) |>
  print_table_conditional()
sector Sector Nobs
TOT TOTAL Manufacturing 300243

question

Code 
INDUSTRY |>
  group_by(question, Question) |>
  summarise(Nobs = n()) |>
  print_table_conditional()
question Question Nobs
1 Production trend observed in recent months 25246
10 Duration of production assured by current order-book levels 7403
11 New orders in recent months 7417
12 Export expectations for the months ahead 7672
13 Current level of capacity utilization 8100
14 Competitive position domestic market 6292
15 Competitive position inside EU 6132
16 Competitive position outside EU 6098
2 Assessment of order-book levels 25234
3 Assessment of export order-book levels 24828
4 Assessment of stocks of finished products 25078
5 Production expectations for the months ahead 25414
6 Selling price expectations for the months ahead 24765
7 Employment expectations for the months ahead 24650
8 Factors limiting the production 43077
9 Assessment of current production capacity 7939
COF Confidence Indicator (Q2 - Q4 + Q5) / 3 24898

answers

Code 
INDUSTRY |>
  group_by(answers, Answers) |>
  summarise(Nobs = n()) |>
  print_table_conditional()
answers Answers Nobs
B Balance not seasonally adjusted (n.s.a) 120837
BS Balance seasonally adjusted (s.a) 120826
F1 None (% n.s.a - quarterly question 8) 3714
F1S None (% s.a - quarterly question 8) 3739
F2 Demand (% n.s.a - quarterly question 8) 3738
F2S Demand (% s.a - quarterly question 8) 3739
F3 Labour (% n.s.a - quarterly question 8) 3736
F3S Labour (% s.a - quarterly question 8) 3739
F4 Equipment (% n.s.a - quarterly question 8) 3737
F4S Equipment (% s.a - quarterly question 8) 3739
F5 Other (% n.s.a - quarterly question 8) 3603
F5S Other (% s.a - quarterly question 8) 3562
F6 Financial (% n.s.a - quarterly question 8) 2938
F6S Financial (% s.a - quarterly question 8) 3093
QM months (n.s.a - quarterly question 10) 3701
QMS months (s.a - quarterly question 10) 3702
QP % (n.s.a - quarterly question 13) 4049
QPS % (s.a - quarterly question 13) 4051

country

Code 
INDUSTRY |>
  group_by(country, Country) |>
  summarise(Nobs = n()) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Country))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

freq

Code 
INDUSTRY |>
  group_by(freq, Frequency) |>
  summarise(Nobs = n()) |>
  print_table_conditional()
freq Frequency Nobs
M Monthly 200113
Q Quarterly 100130

Germany

Competitive positions

NSA

Code 
INDUSTRY |>
  filter(country == "DE",
         question %in% c("14", "15", "16"),
         answers == "B") |>
  ggplot() + theme_minimal() + xlab("") + ylab("Balance not seasonally adjusted (s.a)") +
  geom_line(aes(x = period, y = value, color = Question)) +
  
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.8, 0.1),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-60, 60, 2))

SA

Code 
INDUSTRY |>
  filter(country == "DE",
         question %in% c("14", "15", "16"),
         answers == "BS") |>
  ggplot() + theme_minimal() + xlab("") + ylab("Balance not seasonally adjusted (s.a)") +
  geom_line(aes(x = period, y = value, color = Question)) +
  
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.8, 0.1),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-60, 60, 2))

Export Expectations, New Orders, Producion Trend

Code 
INDUSTRY |>
  filter(country == "DE",
         question %in% c("12", "11", "1"),
         answers == "BS") |>
  ggplot() + theme_minimal() + xlab("") + ylab("Balance not seasonally adjusted (s.a)") +
  geom_line(aes(x = period, y = value, color = Question)) +
  
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.15),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-60, 60, 5))

France

Competitive positions

NSA

Code 
INDUSTRY |>
  filter(country == "FR",
         question %in% c("14", "15", "16"),
         answers == "B") |>
  ggplot() + theme_minimal() + xlab("") + ylab("Balance not seasonally adjusted (s.a)") +
  geom_line(aes(x = period, y = value, color = Question)) +
  
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.8, 0.1),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-60, 60, 2))

SA

Code 
INDUSTRY |>
  filter(country == "FR",
         question %in% c("14", "15", "16"),
         answers == "BS") |>
  ggplot() + theme_minimal() + xlab("") + ylab("Balance not seasonally adjusted (s.a)") +
  geom_line(aes(x = period, y = value, color = Question)) +
  
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.8, 0.1),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-60, 60, 2))

Export Expectations, New Orders, Producion Trend

Code 
INDUSTRY |>
  filter(country == "FR",
         question %in% c("12", "11", "1"),
         answers == "BS") |>
  ggplot() + theme_minimal() + xlab("") + ylab("Balance not seasonally adjusted (s.a)") +
  geom_line(aes(x = period, y = value, color = Question)) +
  
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.15),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-60, 60, 5))