Labour cost index by NACE Rev. 2 activity - nominal value, quarterly data

Data - Eurostat

Author

François Geerolf

Info

source dataset .html .RData
eurostat lc_lci_r2_q 2025-02-01 2025-05-18

Info

  • Annual increase in labour costs at 5.7% in euro area - Fourth quarter of 2022. pdf/html

  • Annual increase in labour costs at 2.9% in euro area - Third quarter of 2022. pdf

  • Annual increase in labour costs at 4.0% in euro area - Second quarter of 2022. pdf

Data on wages

Code 
load_data("wages.RData")
wages %>%
  arrange(-(dataset == "lc_lci_r2_q")) %>%
  source_dataset_file_updates()
source dataset .html .RData
eurostat earn_mw_cur 2025-05-18 2025-05-18
eurostat ei_lmlc_q 2025-05-18 2025-05-18
eurostat lc_lci_lev 2025-05-18 2025-05-18
eurostat lc_lci_r2_q 2025-02-01 2025-05-18
eurostat nama_10_lp_ulc 2025-02-01 2025-05-18
eurostat namq_10_lp_ulc 2025-02-01 2025-05-18
eurostat tps00155 2025-01-26 2025-05-18
fred wage 2025-05-18 2025-05-18
ilo EAR_4MTH_SEX_ECO_CUR_NB_A 2024-06-20 2023-06-01
ilo EAR_XEES_SEX_ECO_NB_Q 2024-06-20 2023-06-01
oecd AV_AN_WAGE 2024-11-22 2024-11-22
oecd AWCOMP 2024-09-15 2023-09-09
oecd EAR_MEI 2024-04-16 2024-04-16
oecd HH_DASH 2024-09-15 2023-09-09
oecd MIN2AVE 2024-09-15 2023-09-09
oecd RMW 2024-09-15 2024-03-12
oecd ULC_EEQ 2024-09-15 2024-04-15

Last

Code 
lc_lci_r2_q %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(2) %>%
  print_table_conditional()
time Nobs
2024Q4 28956
2024Q3 28956

lcstruct

Code 
lc_lci_r2_q %>%
  left_join(lcstruct, by = "lcstruct") %>%
  group_by(lcstruct, Lcstruct) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
lcstruct Lcstruct Nobs
D11 Wages and salaries (total) 975532
D12_D4_MD5 Labour costs other than wages and salaries 975516
D1_D4_MD5 Labour cost for LCI (compensation of employees plus taxes minus subsidies) 967588
D1_D4_MD5_XB Labour cost for LCI excluding bonuses 631013

nace_r2

Code 
lc_lci_r2_q %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
nace_r2 Nace_r2 Nobs
B Mining and quarrying 140781
C Manufacturing 140765
E Water supply; sewerage, waste management and remediation activities 140749
D Electricity, gas, steam and air conditioning supply 140741
F Construction 140677
K Financial and insurance activities 139668
B-E Industry (except construction) 139657
H Transportation and storage 139600
J Information and communication 139596
N Administrative and support service activities 139568
M Professional, scientific and technical activities 139560
B-F Industry and construction 139513
I Accommodation and food service activities 139504
G Wholesale and retail trade; repair of motor vehicles and motorcycles 139488
L Real estate activities 138820
G-J Wholesale and retail trade; transport; accommodation and food service activities; information and communication 138112
B-N Business economy 136421
G-N Services of the business economy 136021
K-N Financial and insurance activities; real estate activities; professional, scientific and technical activities; administrative and support service activities 135781
R Arts, entertainment and recreation 130697
S Other service activities 130681
P Education 129421
Q Human health and social work activities 129385
B-S Industry, construction and services (except activities of households as employers and extra-territorial organisations and bodies) 129017
O Public administration and defence; compulsory social security 128217
O-S Public administration and defence; compulsory social security; education; human health and social work activities; arts, entertainment and recreation; other service activities 127209

unit

Code 
lc_lci_r2_q %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
unit Unit Nobs
PCH_PRE Percentage change on previous period 933971
PCH_SM Percentage change compared to same period in previous year 903914
I20 Index, 2020=100 895236
I16 Index, 2016=100 816528

s_adj

Code 
lc_lci_r2_q %>%
  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
CA Calendar adjusted data, not seasonally adjusted data 1266039
SCA Seasonally and calendar adjusted data 1264879
NSA Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data) 1018731

geo

Code 
lc_lci_r2_q %>%
  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 
lc_lci_r2_q %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

Last

Europe

Code 
lc_lci_r2_q %>%
  filter(time == max(time),
         geo == "EA19",
         unit != "I20") %>%
  mutate(variable = paste0(s_adj, " - ", unit)) %>%
  select(-unit, -s_adj) %>%
  spread(variable, values) %>%
  select_if(~ n_distinct(.) > 1) %>%
  print_table_conditional

France

Code 
lc_lci_r2_q %>%
  filter(time == max(time),
         geo == "FR",
         unit != "I20") %>%
  mutate(variable = paste0(s_adj, " - ", unit)) %>%
  select(-unit, -s_adj) %>%
  spread(variable, values) %>%
  select_if(~ n_distinct(.) > 1) %>%
  print_table_conditional

Germany

Code 
lc_lci_r2_q %>%
  filter(time == max(time),
         geo == "DE",
         unit != "I20") %>%
  mutate(variable = paste0(s_adj, " - ", unit)) %>%
  select(-unit, -s_adj) %>%
  spread(variable, values) %>%
  select_if(~ n_distinct(.) > 1) %>%
  print_table_conditional

Indices

France

All

Nominal

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(80, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

2017T2-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-04-01")) %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(80, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank()) +
  geom_text(data = . %>%
              filter(date %in% max(date)),
            aes(x = date, y = values, color = Lcstruct, label = round(values, 1)))

Business

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(50, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

1999-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("1999-01-01")) %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(50, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

Public

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "O-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(50, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

2017T2-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "O-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("FR")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-04-01")) %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(50, 200, 2)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank()) +
  geom_text(data = . %>%
              filter(date %in% max(date)),
            aes(x = date, y = values, color = Lcstruct, label = round(values, 1)))

Germany

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("DE")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(60, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

Italy

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("IT")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(60, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

Spain

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("ES")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(60, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

Euro Area

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("EA")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(Lcstruct) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(60, 200, 5)) + 
  theme(legend.position = c(0.45, 0.90),
        legend.title = element_blank())

Netherlands

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         geo %in% c("NL")) %>%
  quarter_to_date %>%
  left_join(lcstruct, by = "lcstruct") %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Lcstruct)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(60, 200, 5)) + 
  theme(legend.position = c(0.45, 0.80),
        legend.title = element_blank())

Europe and Eurozone

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("EA19", "EU27_2020")) %>%
  quarter_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Geo)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  theme(legend.position = c(0.25, 0.90),
        legend.title = element_blank())

2017-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("EA19", "EU27_2020")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-01-01")) %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = Geo)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  theme(legend.position = c(0.25, 0.90),
        legend.title = element_blank())

2022Q1-Q2 - Tables

D11 - Wages and salaries (total)

%

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit %in% c("PCH_SM", "PCH_PRE"),
         lcstruct == "D11",
         time == max(time),
         s_adj == "CA") %>%
  left_join(geo, by = "geo") %>%
  left_join(unit, by = "unit") %>%
  select_if(~ n_distinct(.) > 1) %>%
  select(-unit) %>%
  spread(Unit, values) %>%
  print_table_conditional()

Indice

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit %in% c("PCH_SM", "PCH_PRE"),
         lcstruct == "D11",
         time == max(time),
         s_adj == "CA") %>%
  left_join(geo, by = "geo") %>%
  left_join(unit, by = "unit") %>%
  select_if(~ n_distinct(.) > 1) %>%
  select(-unit) %>%
  spread(Unit, values) %>%
  print_table_conditional()

D12_D4_MD5 - Labour costs other than wages and salaries

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         time %in% c("2022Q2","2022Q1"),
         s_adj == "CA") %>%
  left_join(geo, by = "geo") %>%
  select_if(~ n_distinct(.) > 1) %>%
  spread(time, values) %>%
  arrange(`2022Q2`) %>%
  print_table_conditional()

D1_D4_MD5 - Labour cost for LCI (compensation of employees plus taxes minus subsidies)

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         time %in% c("2022Q2","2022Q1"),
         s_adj == "CA") %>%
  left_join(geo, by = "geo") %>%
  select_if(~ n_distinct(.) > 1) %>%
  spread(time, values) %>%
  arrange(`2022Q2`) %>%
  print_table_conditional()

D11 - Wages and salaries

France, Germany

Indice

Tous

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE")) %>%
  quarter_to_date %>%
  #filter(date >= as.Date("1998-01-01")) %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = c(seq(1998, 2100, 2)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(2) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

1999-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("1999-01-01")) %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(2) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

1998-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("1998-01-01")) %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = c(seq(1998, 2100, 2)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(2) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

France, Germany, Italy, Spain, Europe

Indice

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2001-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2001-01-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2017T2-

B-N
Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-N",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE", "ES", "IT", "EA20")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-04-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "EA20", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

B-S
Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "I20",
         s_adj == "SCA",
         lcstruct == "D11",
         geo %in% c("FR", "DE", "ES", "IT", "EA20")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-04-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "EA20", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  group_by(geo) %>%
  arrange(date) %>%
  mutate(values = 100*values/values[1]) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(90, 200, 5)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

Change

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2017-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-01-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2020-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2020-01-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "6 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

3 years

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= Sys.Date() - years(3)) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2 years

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= Sys.Date() - years(2)) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

Netherlands, Portugal, Hungary, Italy

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("NL", "PT", "HU", "IT")) %>%
  quarter_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(4) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2017-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D11",
         s_adj == "CA",
         geo %in% c("NL", "PT", "HU", "IT")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-01-01")) %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(4) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

D12_D4_MD5 - Labour costs other than wages and salaries

France, Germany, Italy, Spain, Europe

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2017-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-01-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2020-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2020-01-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "6 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

3 years

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= Sys.Date() - years(3)) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2 years

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D12_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= Sys.Date() - years(2)) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) +
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

D1_D4_MD5 - Labour cost for LCI

France, Germany, Italy, Spain

All

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D1_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2017-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D1_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2017-01-01")) %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(4) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())

2020-

Code 
lc_lci_r2_q %>%
  filter(nace_r2 == "B-S",
         unit == "PCH_SM",
         lcstruct == "D1_D4_MD5",
         s_adj == "CA",
         geo %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2020-01-01")) %>%
  left_join(geo, by = "geo") %>%
  mutate(values = values/100,
         Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot(.) + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "6 months",
               labels = date_format("%Y %b")) +
  scale_y_continuous(breaks = 0.01*seq(-20, 20, 1),
                     labels = percent_format(a = 1)) + 
  scale_color_identity() + add_flags(5) +
  theme(legend.position = c(0.75, 0.90),
        legend.title = element_blank())