Unemployment rate - annual data - tipsun20

Data - Eurostat

Author

François Geerolf

Info

source dataset .html .RData
eurostat tipsun20 2024-10-09 2024-10-09

Data on employment

source dataset .html .RData
bls jt 2024-05-01 NA
bls la 2024-06-19 NA
bls ln 2024-06-19 NA
eurostat nama_10_a10_e 2024-11-05 2024-11-05
eurostat nama_10_a64_e 2024-11-05 2024-10-08
eurostat namq_10_a10_e 2024-11-05 2024-10-08
eurostat une_rt_m 2024-10-24 2024-10-24
oecd ALFS_EMP 2024-04-16 2024-05-12
oecd EPL_T 2024-04-16 2023-12-10
oecd LFS_SEXAGE_I_R 2024-09-15 2024-04-15
oecd STLABOUR 2024-09-15 2024-06-30

DOWNLOAD_TIME

Code 
tibble(DOWNLOAD_TIME = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/tipsun20.RData")$mtime)) %>%
  print_table_conditional()
DOWNLOAD_TIME
2024-10-09

Last

Code 
tipsun20 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2023 87

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 445
Y15-74 From 15 to 74 years 445
Y25-74 From 25 to 74 years 445

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))