Part-Time Employment Rate (%)

Data - WDI

Author

François Geerolf

Info

source dataset Title .html .rData
wdi SL.TLF.PART.ZS Part-Time Employment Rate (%) 2025-10-02 2025-09-27

Data on macro

source dataset Title .html .rData
eurostat nama_10_a10 Gross value added and income by A*10 industry breakdowns 2025-10-01 2025-09-26
eurostat nama_10_a10_e Employment by A*10 industry breakdowns 2025-10-01 2025-09-26
eurostat nama_10_gdp GDP and main components (output, expenditure and income) 2025-10-01 2025-09-26
eurostat nama_10_lp_ulc Labour productivity and unit labour costs 2025-10-01 2025-09-26
eurostat namq_10_a10 Gross value added and income A*10 industry breakdowns 2025-10-01 2025-09-26
eurostat namq_10_a10_e Employment A*10 industry breakdowns 2025-05-24 2025-09-26
eurostat namq_10_gdp GDP and main components (output, expenditure and income) 2025-10-01 2025-09-26
eurostat namq_10_lp_ulc Labour productivity and unit labour costs 2025-10-01 2025-09-26
eurostat namq_10_pc Main GDP aggregates per capita 2025-10-01 2025-09-26
eurostat nasa_10_nf_tr Non-financial transactions 2025-10-01 2025-09-26
eurostat nasq_10_nf_tr Non-financial transactions 2025-10-01 2025-09-26
fred gdp Gross Domestic Product 2025-10-02 2025-10-01
oecd QNA Quarterly National Accounts 2024-06-06 2025-05-24
oecd SNA_TABLE1 Gross domestic product (GDP) 2025-09-29 2025-05-24
oecd SNA_TABLE14A Non-financial accounts by sectors 2025-09-29 2024-06-30
oecd SNA_TABLE2 Disposable income and net lending - net borrowing 2024-07-01 2024-04-11
oecd SNA_TABLE6A Value added and its components by activity, ISIC rev4 2024-07-01 2024-06-30
wdi NE.RSB.GNFS.ZS External balance on goods and services (% of GDP) 2025-10-02 2025-09-27
wdi NY.GDP.MKTP.CD GDP (current USD) 2025-10-02 2025-09-27
wdi NY.GDP.MKTP.PP.CD GDP, PPP (current international D) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.CD GDP per capita (current USD) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.KD GDP per capita (constant 2015 USD) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.PP.CD GDP per capita, PPP (current international D) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.PP.KD GDP per capita, PPP (constant 2011 international D) 2025-10-02 2025-09-27

LAST_COMPILE

LAST_COMPILE
2025-10-10

Last

Code 
SL.TLF.PART.ZS %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()
year Nobs
2023 93

Nobs - Javascript

Code 
SL.TLF.PART.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  
  mutate(value = round(value/(10^9))) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `GDP 1 (Bn)` = first(value) %>% paste0("$ ", .),
            `Year 2` = last(year),
            `GDP 2 (Bn)` = last(value) %>% paste0("$ ", .)) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
         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 .}

Germany, France, Italy, Spain

Code 
SL.TLF.PART.ZS %>%
  right_join(iso2c, by = "iso2c") %>%
  filter(iso2c %in% c("DE", "FR", "IT", "ES", "GB")) %>%
  year_to_date %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + theme_minimal() + scale_color_identity() + xlab("") + ylab("% of World GDP") +
  geom_line(aes(x = date, y = value, color = color)) + add_5flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

US, Euro Area

All

Code 
SL.TLF.PART.ZS %>%
  right_join(iso2c, by = "iso2c") %>%
  filter(iso2c %in% c("US", "XC")) %>%
  year_to_date %>%
  mutate(value = value/100) %>%
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "US", color2, color)) %>%
  ggplot(.) + theme_minimal() + scale_color_identity() + xlab("") +
  ylab("Taux d'emploi à temps partiel (% de l'emploi total)") +
  geom_line(aes(x = date, y = value, color = color)) + add_2flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

1999-

Code 
SL.TLF.PART.ZS %>%
  right_join(iso2c, by = "iso2c") %>%
  filter(iso2c %in% c("US", "XC")) %>%
  year_to_date %>%
  mutate(value = value/100) %>%
  filter(date >= as.Date("1999-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "US", color2, color)) %>%
  ggplot(.) + theme_minimal() + scale_color_identity() + xlab("") +
  ylab("Part de l'emploi à temps partiel (% de l'emploi total)") +
  geom_line(aes(x = date, y = value, color = color)) + add_2flags +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

France, Germany, Euro area, US

All

Code 
SL.TLF.PART.ZS %>%
  right_join(iso2c, by = "iso2c") %>%
  filter(iso2c %in% c("US", "XC", "FR", "DE")) %>%
  year_to_date %>%
  mutate(value = value/100) %>%
  #filter(date >= as.Date("1999-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "US", color2, color)) %>%
  ggplot(.) + theme_minimal() + scale_color_identity() + xlab("") +
  ylab("Taux d'emploi à temps partiel (%)") +
  geom_line(aes(x = date, y = value, color = color)) + add_4flags +
  scale_x_date(breaks = c(seq(1949, 2100, 5), seq(1947, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

1999-

Code 
SL.TLF.PART.ZS %>%
  right_join(iso2c, by = "iso2c") %>%
  filter(iso2c %in% c("US", "XC", "FR", "DE")) %>%
  year_to_date %>%
  mutate(value = value/100) %>%
  filter(date >= as.Date("1999-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "US", color2, color)) %>%
  ggplot(.) + theme_minimal() + scale_color_identity() + xlab("") +
  ylab("Taux d'emploi à temps partiel (%)") +
  geom_line(aes(x = date, y = value, color = color)) + add_4flags +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
                     labels = scales::percent_format(accuracy = 1))