Adjusted gross disposable income of households per capita in PPS

Data - Eurostat

Author

Info

source	dataset	Title	.html	.rData
eurostat	tec00113	Adjusted gross disposable income of households per capita in PPS	2026-02-16	2026-02-15

LAST_DOWNLOAD

Code

tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/eurostat/tec00113.RData")$mtime)) %>%
  print_table_conditional()

LAST_DOWNLOAD
2026-02-21

LAST_COMPILE

LAST_COMPILE
2026-02-21

Last

Code

tec00113 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()

time	Nobs
2024	31

Info

Volume indices of real expenditure per capita (in PPS_EU27_2020=100)

na_item

Code

tec00113 %>%
  left_join(na_item, by = "na_item") %>%
  group_by(na_item, Na_item) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(na_item)) %>%
  print_table_conditional()

na_item	Na_item	Nobs
B7G	Adjusted disposable income, gross	410

time

Code

tec00113 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

time	Nobs
2024	31
2023	32
2022	34
2021	34
2020	34
2019	35
2018	35
2017	35
2016	35
2015	35
2014	35
2013	35

geo

Code

tec00113 %>%
  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="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Last, First

Code

tec00113 %>%
  filter(time %in% c(max(time), min(time))) %>%
  left_join(geo, by = "geo") %>%
  select_if(~ n_distinct(.) > 1) %>%
  spread(time,  values) %>%
  arrange(desc(pick(last_col()))) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, geo, Geo, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Germany, France, Italy

Code

tec00113 %>%
  filter(geo %in% c("FR", "DE", "IT", "ES")) %>%
  select(time, geo, values) %>%
  year_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  scale_color_identity() + add_4flags +
  theme_minimal()  + xlab("") + ylab("") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 100000, 1000))