Unemployment rate - annual data - tipsun20

Data - Eurostat

Author

François Geerolf

Info

source dataset Title .html .rData
eurostat tipsun20 Unemployment rate - annual data - tipsun20 2026-01-30 2026-01-29

Data on employment

source dataset Title .html .rData
bls jt NA NA NA
bls la NA NA NA
bls ln NA NA NA
eurostat nama_10_a10_e Employment by A*10 industry breakdowns 2026-01-29 2026-01-29
eurostat nama_10_a64_e National accounts employment data by industry (up to NACE A*64) 2026-01-29 2026-01-29
eurostat namq_10_a10_e Employment A*10 industry breakdowns 2025-05-24 2026-01-29
eurostat une_rt_m Unemployment by sex and age – monthly data 2026-01-30 2026-01-29
oecd ALFS_EMP Employment by activities and status (ALFS) 2024-04-16 2025-05-24
oecd EPL_T Strictness of employment protection – temporary contracts 2026-01-16 2023-12-10
oecd LFS_SEXAGE_I_R LFS by sex and age - indicators 2026-01-16 2024-04-15
oecd STLABOUR Short-Term Labour Market Statistics 2026-01-16 2025-01-17

DOWNLOAD_TIME

Code 
tibble(DOWNLOAD_TIME = as.Date(file.info("~/iCloud/website/data/eurostat/tipsun20.RData")$mtime)) %>%
  print_table_conditional()
DOWNLOAD_TIME
2026-01-30

Last

Code 
tipsun20 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2024 90

geo

Code 
tipsun20 %>%
  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 .}

age

Code 
tipsun20 %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
age Age Nobs
Y15-24 From 15 to 24 years 490
Y15-74 From 15 to 74 years 490
Y25-74 From 25 to 74 years 490

France, Germany, Italy, Spain, Portugal

Code 
tipsun20 %>%
  filter(geo %in% c("FR", "DE", "PT", "ES", "IT"),
         age == "Y25-74") %>%
  year_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() +
  scale_color_identity() + add_5flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Unemployment, Percentage of active population") +
  scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
                     labels = scales::percent_format(accuracy = 1))

France, Germany, Portugal

Code 
tipsun20 %>%
  filter(geo %in% c("FR", "DE", "PT"),
         age == "Y25-74") %>%
  year_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() +
  scale_color_identity() + add_3flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Unemployment, Percentage of active population") +
  scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
                     labels = scales::percent_format(accuracy = 1))

Poland, Hungary, Slovenia

Code 
tipsun20 %>%
  filter(geo %in% c("PL", "HU", "SI"),
         age == "Y25-74") %>%
  year_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() +
  scale_color_identity() + add_3flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Unemployment, Percentage of active population") +
  scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
                     labels = scales::percent_format(accuracy = 1))