Final consumption aggregates - namq_10_fcs

Data - Eurostat

Author

François Geerolf

Last observation: Q2 2026 (N = 8096)

First observation: Q1 1978 (N = 180)

Last data update: 09 sept. 2026, 07:36

Last compile: 14 sept. 2026, 22:50

Structure

France

Table

Code 
namq_10_fcs |>
  filter(geo == "FR",
         time == "2021Q4",
         s_adj == "NSA") %>%
  select_if(~ n_distinct(.) > 1) |>
  
  
  mutate(Na_item = paste0(na_item, " - ", Na_item)) |>
  select(-na_item) |>
  spread(Na_item, values) |>
  print_table_conditional()
unit Unit P31_S14 - Final consumption expenditure of household P311_S14 - Final consumption expenditure of households, durable goods P312_S14 - Final consumption expenditure of households, semi-durable goods P312N_S14 - Final consumption expenditure of households, semi-durable goods, non-durable goods and services P313_S14 - Final consumption expenditure of households, non-durable goods P314_S14 - Final consumption expenditure of households, services
CLV_I05 Chain linked volumes, index 2005=100 122.524 145.265 115.905 120.470 111.916 126.218
CLV_I10 Chain linked volumes, index 2010=100 113.993 121.080 113.834 113.401 107.427 116.674
CLV_I15 Chain linked volumes, index 2015=100 109.869 118.685 112.417 109.107 106.628 109.837
CLV_I20 Chain linked volumes, index 2020=100 111.814 111.917 117.573 111.805 108.096 113.006
CLV_PCH_SM Chain linked volumes, percentage change compared to same period in previous year 7.500 -0.900 9.200 8.400 0.400 13.100
CLV05_MEUR Chain linked volumes (2005), million euro 287399.000 32963.800 28427.300 255244.600 74953.200 151935.200
CLV05_MNAC Chain linked volumes (2005), million units of national currency 287399.000 32963.800 28427.300 255244.600 74953.200 151935.200
CLV10_MEUR Chain linked volumes (2010), million euro 305966.100 29178.700 28957.500 277046.900 82705.700 165539.800
CLV10_MNAC Chain linked volumes (2010), million units of national currency 305966.100 29178.700 28957.500 277046.900 82705.700 165539.800
CLV15_MEUR Chain linked volumes (2015), million euro 318526.200 27727.000 29625.000 290828.600 89107.300 172041.300
CLV15_MNAC Chain linked volumes (2015), million units of national currency 318526.200 27727.000 29625.000 290828.600 89107.300 172041.300
CLV20_MEUR Chain linked volumes (2020), million euro 332916.000 26828.100 29276.900 306087.900 97393.900 179417.100
CLV20_MNAC Chain linked volumes (2020), million units of national currency 332916.000 26828.100 29276.900 306087.900 97393.900 179417.100
CP_MEUR Current prices, million euro 340504.100 27730.700 30327.300 312773.400 100697.600 181748.500
CP_MNAC Current prices, million units of national currency 340504.100 27730.700 30327.300 312773.400 100697.600 181748.500
PC_GDP Percentage of gross domestic product (GDP) 51.500 4.200 4.600 47.300 15.200 27.500
PYP_MEUR Previous year prices, million euro 332916.000 26828.100 29276.900 306087.900 97393.900 179417.100
PYP_MNAC Previous year prices, million units of national currency 332916.000 26828.100 29276.900 306087.900 97393.900 179417.100

France, Germany, Spain, Italy, Netherlands

All

Consumption

Code 
namq_10_fcs |>
  filter(geo %in% c("FR", "EA", "ES", "IT", "DE"),
         unit == "PC_GDP",
         s_adj == "NSA",
         na_item == "P31_S14") |>
  quarter_to_date() |>
  mutate(values = values / 100) |>
  
  mutate(Geo = ifelse(geo == "EA", "Europe", Geo)) |>
  add_flag_color("Geo") |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_flags + xlab("") + 
  ylab("Final consumption expenditure of households (% of GDP)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-30, 100, 2),
                labels = percent_format(a = 1))

1995-

Consumption

Code 
namq_10_fcs |>
  filter(geo %in% c("FR", "NL", "ES", "IT", "DE"),
         unit == "PC_GDP",
         s_adj == "NSA",
         na_item == "P31_S14") |>
  quarter_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(values = values / 100) |>
  
  add_flag_color("Geo") |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_flags + xlab("") + 
  ylab("Final consumption expenditure of households (% of GDP)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-30, 100, 2),
                labels = percent_format(a = 1))

Durable goods

Code 
namq_10_fcs |>
  filter(geo %in% c("FR", "NL", "ES", "IT", "DE"),
         unit == "PC_GDP",
         s_adj == "NSA",
         na_item == "P311_S14") |>
  quarter_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(values = values / 100) |>
  
  add_flag_color("Geo") |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_flags + xlab("") + 
  ylab("Durable goods (% of GDP)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-30, 100, 1),
                labels = percent_format(a = 1))

Non-durable goods

Code 
namq_10_fcs |>
  filter(geo %in% c("FR", "NL", "ES", "IT", "DE"),
         unit == "PC_GDP",
         s_adj == "NSA",
         na_item == "P313_S14") |>
  quarter_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(values = values / 100) |>
  
  add_flag_color("Geo") |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_flags + xlab("") + 
  ylab("Non-durable goods (% of GDP)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-30, 100, 1),
                labels = percent_format(a = 1))

Services

Code 
namq_10_fcs |>
  filter(geo %in% c("FR", "NL", "ES", "IT", "DE"),
         unit == "PC_GDP",
         s_adj == "NSA",
         na_item == "P314_S14") |>
  quarter_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  mutate(values = values / 100) |>
  
  add_flag_color("Geo") |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_flags + xlab("") + 
  ylab("Services (% of GDP)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-30, 100, 1),
                labels = percent_format(a = 1))