GDP per capita in PPS

Data - Eurostat

Author

François Geerolf

Info

source dataset Title .html .rData
eurostat tec00114 GDP per capita in PPS 2026-01-29 2026-01-29

LAST_DOWNLOAD

Code 
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/eurostat/tec00114.RData")$mtime)) %>%
  print_table_conditional()
LAST_DOWNLOAD
2026-01-30

LAST_COMPILE

LAST_COMPILE
2026-01-31

Last

Code 
tec00114 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2024 42

Info

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

indic_ppp

Code 
tec00114 %>%
  left_join(indic_ppp, by = "indic_ppp") %>%
  group_by(indic_ppp, Indic_ppp) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(indic_ppp)) %>%
  print_table_conditional()
indic_ppp Indic_ppp Nobs
VI_PPS_EU27_2020_HAB Volume indices of real expenditure per capita (in PPS_EU27_2020=100) 504

time

Code 
tec00114 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()
time Nobs
2024 42
2023 42
2022 42
2021 42
2020 42
2019 42
2018 42
2017 42
2016 42
2015 42
2014 42
2013 42

geo

Code 
tec00114 %>%
  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

Code 
tec00114 %>%
  filter(time == max(time)) %>%
  left_join(geo, by = "geo") %>%
  arrange(-values) %>%
  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 .}

Germany, France, Italy

Code 
tec00114 %>%
  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_continuous(breaks = seq(0, 200, 2)) +
  geom_hline(yintercept = 100, linetype = "dashed")

Poland, Hungary, Greece

Code 
tec00114 %>%
  filter(geo %in% c("EL", "PL", "HU")) %>%
  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_3flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat (EU-27 2020 = 100)") +
  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_continuous(breaks = seq(0, 200, 2)) +
  geom_hline(yintercept = 100, linetype = "dashed")

Poland, Hungary, Greece, Germany, France, Italy, Spain, Netherlands

Code 
tec00114 %>%
  filter(geo %in% c("EL", "PL", "HU", "FR", "DE", "IT", "ES", "NL")) %>%
  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_8flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat (EU-27 2020 = 100)") +
  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, 200, 5)) +
  geom_hline(yintercept = 100, linetype = "dashed")

Poland, Greece, Germany, France, Italy, Spain

Code 
load_data("eurostat/geo_fr.RData")
geo_fr <- geo %>%
  setNames(c("geo", "Geo_fr"))
load_data("eurostat/geo.RData")
tec00114 %>%
  filter(geo %in% c("EL", "PL", "FR", "DE")) %>%
  select(time, geo, values) %>%
  year_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(geo_fr, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  scale_color_identity() + add_flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat (EU-27 2020 = 100)") +
  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, 200, 5)) +
  geom_hline(yintercept = 100, linetype = "dashed") +
  geom_text(data = . %>% filter(date == max(date)), aes(x = date, y = values, label = Geo_fr, color = color))

Poland, Greece, Germany, France, Italy, Spain

Code 
load_data("eurostat/geo_fr.RData")
geo_fr <- geo %>%
  setNames(c("geo", "Geo_fr"))
load_data("eurostat/geo.RData")
tec00114 %>%
  filter(geo %in% c("EL", "PL", "FR", "DE", "IT", "ES")) %>%
  select(time, geo, values) %>%
  year_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(geo_fr, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  scale_color_identity() + add_6flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat (EU-27 2020 = 100)") +
  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, 200, 5)) +
  geom_hline(yintercept = 100, linetype = "dashed") +
  geom_text(data = . %>% filter(date == max(date)), aes(x = date, y = values, label = Geo_fr, color = color))

Poland, Hungary, Greece, Germany, France, Italy, Spain, United States

Code 
tec00114 %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "US", "EU27_2020", "UK", "NL")) %>%
  select(time, geo, values) %>%
  year_to_date %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "EU27_2020", "Europe", Geo)) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(color = ifelse(geo == "UK", color2, color)) %>%
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  scale_color_identity() + add_8flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat (EU-27 2020 = 100)") +
  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, 200, 5)) +
  geom_hline(yintercept = 100, linetype = "dashed")

Poland, Hungary, Greece, Germany, France, Italy, Spain, United States

Code 
tec00114 %>%
  filter(geo %in% c("EL", "PL", "HU", "FR", "DE", "IT", "ES", "US", "UK")) %>%
  select(time, geo, values) %>%
  year_to_date %>%
  left_join(geo, by = "geo") %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(color = ifelse(geo == "UK", color2, color)) %>%
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  scale_color_identity() + add_flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat\nEU-27 2020 = 100") +
  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, 200, 5)) +
  geom_hline(yintercept = 100, linetype = "dashed")

Germany, France, Italy, United States, Switzerland, United Kingdom

Code 
tec00114 %>%
  filter(geo %in% c("FR", "DE", "IT", "UK", "CH", "US")) %>%
  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_6flags +
  theme_minimal()  + xlab("") + ylab("PIB/hab., Parité de Pouvoir d'Achat (EU-27 2020 = 100)") +
  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, 200, 5)) +
  geom_hline(yintercept = 100, linetype = "dashed")