| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| wdi | SL.TLF.PART.ZS | Part-Time Employment Rate (%) | 2026-08-12 | 2026-08-12 |
Part-Time Employment Rate (%)
Data - WDI
Info
Last observation: 2025 (N = 2,660)
First observation: 1976 (N = 2,660)
Last data update: 13 aoû 2026, 22:52. Last compile: 14 aoû 2026, 00:14
Info
Data on macro
| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| eurostat | nama_10_a10 | Gross value added and income by A*10 industry breakdowns | 2026-08-13 | 2026-08-12 |
| eurostat | nama_10_a10_e | Employment by A*10 industry breakdowns | 2026-08-13 | 2026-08-13 |
| eurostat | nama_10_gdp | GDP and main components (output, expenditure and income) | 2026-08-13 | 2026-08-12 |
| eurostat | nama_10_lp_ulc | Labour productivity and unit labour costs | 2026-08-13 | 2026-08-12 |
| eurostat | namq_10_a10 | Gross value added and income A*10 industry breakdowns | 2026-08-13 | 2026-08-12 |
| eurostat | namq_10_a10_e | Employment A*10 industry breakdowns | 2026-08-13 | 2026-08-12 |
| eurostat | namq_10_gdp | GDP and main components (output, expenditure and income) | 2026-08-13 | 2026-08-12 |
| eurostat | namq_10_lp_ulc | Labour productivity and unit labour costs | 2026-08-13 | 2026-08-12 |
| eurostat | namq_10_pc | Main GDP aggregates per capita | 2026-08-13 | 2026-08-12 |
| eurostat | nasa_10_nf_tr | Non-financial transactions | 2026-08-13 | 2026-08-12 |
| eurostat | nasq_10_nf_tr | Non-financial transactions | 2026-08-13 | 2026-08-13 |
| fred | gdp | Gross Domestic Product | 2026-08-12 | 2026-08-12 |
| oecd | QNA | Quarterly National Accounts | 2026-08-13 | 2026-08-12 |
| oecd | SNA_TABLE1 | Gross domestic product (GDP) | 2026-08-13 | 2026-08-02 |
| oecd | SNA_TABLE14A | Non-financial accounts by sectors | 2026-08-13 | 2026-08-02 |
| oecd | SNA_TABLE2 | Disposable income and net lending - net borrowing | 2026-08-13 | 2026-08-02 |
| oecd | SNA_TABLE6A | Value added and its components by activity, ISIC rev4 | 2026-08-13 | 2026-08-02 |
| wdi | NE.RSB.GNFS.ZS | External balance on goods and services (% of GDP) | 2026-08-12 | 2026-08-12 |
| wdi | NY.GDP.MKTP.CD | GDP (current USD) | 2026-08-12 | 2026-08-12 |
| wdi | NY.GDP.MKTP.PP.CD | GDP, PPP (current international D) | 2026-08-12 | 2026-08-12 |
| wdi | NY.GDP.PCAP.CD | GDP per capita (current USD) | 2026-08-12 | 2026-08-12 |
| wdi | NY.GDP.PCAP.KD | GDP per capita (constant 2015 USD) | 2026-08-12 | 2026-08-12 |
| wdi | NY.GDP.PCAP.PP.CD | GDP per capita, PPP (current international D) | 2026-08-12 | 2026-08-12 |
| wdi | NY.GDP.PCAP.PP.KD | GDP per capita, PPP (constant 2011 international D) | 2026-08-12 | 2026-08-12 |
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2026-08-14 |
Last
Code
SL.TLF.PART.ZS |>
group_by(year) |>
summarise(Nobs = n()) |>
arrange(desc(year)) |>
head(1) |>
print_table_conditional()| year | Nobs |
|---|---|
| 2025 | 38 |
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_flags +
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_flags +
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_flags +
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_flags +
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_flags +
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))