Turnover in industry, non domestic market - monthly data - sts_intvnd_m

Data - Eurostat

Author

Info

source	dataset	.html	.RData
eurostat	sts_intvd_m	2024-06-24	2024-12-22
eurostat	sts_intvnd_m	2024-12-21	2024-12-22

Data on macro

Title	source	dataset	.html	.RData
Gross value added and income by A*10 industry breakdowns	eurostat	nama_10_a10	2024-11-23	2024-10-08
Employment by A*10 industry breakdowns	eurostat	nama_10_a10_e	2024-11-23	2024-12-22
GDP and main components (output, expenditure and income)	eurostat	nama_10_gdp	2024-12-21	2024-12-21
Labour productivity and unit labour costs	eurostat	nama_10_lp_ulc	2024-11-23	2024-10-08
Gross value added and income A*10 industry breakdowns	eurostat	namq_10_a10	2024-12-21	2024-12-22
Employment A*10 industry breakdowns	eurostat	namq_10_a10_e	2024-12-21	2024-12-21
GDP and main components (output, expenditure and income)	eurostat	namq_10_gdp	2024-12-21	2024-12-21
Labour productivity and unit labour costs	eurostat	namq_10_lp_ulc	2024-11-23	2024-11-04
Main GDP aggregates per capita	eurostat	namq_10_pc	2024-11-23	2024-11-21
Non-financial transactions	eurostat	nasa_10_nf_tr	2024-12-14	2024-12-14
Non-financial transactions	eurostat	nasq_10_nf_tr	2024-11-23	2024-10-09
Gross Domestic Product	fred	gdp	2024-12-22	2024-12-22
Quarterly National Accounts	oecd	QNA	2024-06-06	2024-12-22
Gross domestic product (GDP)	oecd	SNA_TABLE1	2024-12-21	2024-12-21
Non-financial accounts by sectors	oecd	SNA_TABLE14A	2024-09-15	2024-06-30
Disposable income and net lending - net borrowing	oecd	SNA_TABLE2	2024-07-01	2024-04-11
Value added and its components by activity, ISIC rev4	oecd	SNA_TABLE6A	2024-07-01	2024-06-30
External balance on goods and services (% of GDP)	wdi	NE.RSB.GNFS.ZS	2024-09-18	2024-09-18
GDP (current USD)	wdi	NY.GDP.MKTP.CD	2024-09-18	2024-09-26
GDP, PPP (current international D)	wdi	NY.GDP.MKTP.PP.CD	2024-09-18	2024-09-18
GDP per capita (current USD)	wdi	NY.GDP.PCAP.CD	2024-12-16	2024-12-22
GDP per capita (constant 2015 USD)	wdi	NY.GDP.PCAP.KD	2024-09-18	2024-09-18
GDP per capita, PPP (current international D)	wdi	NY.GDP.PCAP.PP.CD	2024-12-22	2024-12-22
GDP per capita, PPP (constant 2011 international D)	wdi	NY.GDP.PCAP.PP.KD	2024-12-22	2024-12-22

Last

Code

sts_intvnd_m %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(3) %>%
  print_table_conditional()

time	Nobs
2024M10	9030
2024M09	12469
2024M08	13006

Info

Source. html

The Turnover Index is a business cycle indicator showing the monthly evolution of the market of goods and services in the industrial sector. It also records the evolution of turnover over longer periods of time. The turnover of industry index is not deflated. It is therefore the objective of this indicator to measure the market activity in the industrial sector in value. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Industrial turnover is compiled as a “fixed base year Laspeyres type volume-index”.

indic_bt

Code

sts_intvnd_m %>%
  left_join(indic_bt, by = "indic_bt") %>%
  group_by(indic_bt, Indic_bt) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

indic_bt	Indic_bt	Nobs
NETTUR_NDOM	Non-domestic net turnover	3937287
NETTUR_NDOM_EU	Non-domestic net turnover - euro area	1791444
NETTUR_NDOM_NEU	Non-domestic net turnover - non-euro area	1765651

nace_r2

Code

sts_intvnd_m %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  print_table_conditional()

s_adj

Code

sts_intvnd_m %>%
  left_join(s_adj, by = "s_adj") %>%
  group_by(s_adj, S_adj) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

s_adj	S_adj	Nobs
SCA	Seasonally and calendar adjusted data	2881114
CA	Calendar adjusted data, not seasonally adjusted data	2850005
NSA	Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)	1763263

unit

Code

sts_intvnd_m %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
I15	Index, 2015=100	2258470
I21	Index, 2021=100	2143351
I10	Index, 2010=100	1451162
PCH_PRE	Percentage change on previous period	837356
PCH_SM	Percentage change compared to same period in previous year	804043

geo

Code

sts_intvnd_m %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         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 .}

time

Code

sts_intvnd_m %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

EA20

C

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("EA20")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2005M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date >= as.Date("2005-01-01")) %>%
  ggplot() + ylab("Index of turnover") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Germany - Different Industries

C10 - Manufacture of food products

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C10",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2004M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date <= as.Date("2020-07-01"),
         date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

C29 - Manufacture of motor vehicles, trailers and semi-trailers

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C29",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2004M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date <= as.Date("2020-07-01"),
         date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.35),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

C13-C15 - Manufacture of textiles, wearing apparel, leather and related products

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C13-C15",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date <= as.Date("2020-07-01"),
         date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

C20 - Manufacture of chemicals and chemical products

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C20",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2004M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date <= as.Date("2020-07-01"),
         date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

C30 - Manufacture of other transport equipment

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C30",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2004M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date <= as.Date("2020-07-01"),
         date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Individual Countries

France

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2000M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date <= as.Date("2020-07-01")) %>%
  ggplot() + ylab("Index of turnover") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Germany

All

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2003M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

1995-

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2004M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

2000-

Code

sts_intvnd_m %>%
  bind_rows(sts_intvd_m) %>%
  filter(nace_r2 == "C",
         unit == "I21",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  group_by(indic_bt) %>%
  mutate(values = 100*values/values[time == "2004M01"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  month_to_date %>%
  filter(date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  
  scale_x_date(breaks = seq(1920, 2100,2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))