Final consumption aggregates - namq_10_fcs

Data - Eurostat

Author

François Geerolf

Info

Last observation: 2026Q2 (N = 864)

First observation: 1978Q1 (N = 180)

Last data update: 14 aoû 2026, 22:21. Last compile: 18 aoû 2026, 02:53

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	122.536	145.407	115.906	120.473	111.916	126.223
CLV_I10	Chain linked volumes, index 2010=100	114.005	121.198	113.834	113.403	107.427	116.679
CLV_I15	Chain linked volumes, index 2015=100	109.880	118.801	112.418	109.109	106.627	109.842
CLV_I20	Chain linked volumes, index 2020=100	111.826	112.026	117.574	111.808	108.096	113.010
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	13.000
CLV05_MEUR	Chain linked volumes (2005), million euro	287427.800	32995.900	28427.500	255250.600	74952.900	151941.500
CLV05_MNAC	Chain linked volumes (2005), million units of national currency	287427.800	32995.900	28427.500	255250.600	74952.900	151941.500
CLV10_MEUR	Chain linked volumes (2010), million euro	305996.700	29207.100	28957.600	277053.400	82705.300	165546.600
CLV10_MNAC	Chain linked volumes (2010), million units of national currency	305996.700	29207.100	28957.600	277053.400	82705.300	165546.600
CLV15_MEUR	Chain linked volumes (2015), million euro	318558.100	27753.900	29625.200	290835.500	89107.000	172048.400
CLV15_MNAC	Chain linked volumes (2015), million units of national currency	318558.100	27753.900	29625.200	290835.500	89107.000	172048.400
CLV20_MEUR	Chain linked volumes (2020), million euro	332949.300	26854.200	29277.100	306095.100	97393.500	179424.500
CLV20_MNAC	Chain linked volumes (2020), million units of national currency	332949.300	26854.200	29277.100	306095.100	97393.500	179424.500
CP_MEUR	Current prices, million euro	340537.100	27763.600	30327.400	312773.600	100697.200	181748.900
CP_MNAC	Current prices, million units of national currency	340537.100	27763.600	30327.400	312773.600	100697.200	181748.900
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	332949.300	26854.200	29277.100	306095.100	97393.500	179424.500
PYP_MNAC	Previous year prices, million units of national currency	332949.300	26854.200	29277.100	306095.100	97393.500	179424.500

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)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "EA", color2, color)) |>
  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) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  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) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  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) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  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) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  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))