Quarterly National Accounts,

Data - OECD

Info

Last observation: Quarterly: 2026-Q1 (N = 433) · Annual: 2025 (N = 434)

First observation: Quarterly: 1947-Q1 (N = 5) · Annual: 1947 (N = 6)

Last data update: 26 jul 2026, 00:04. Last compile: 26 jul 2026, 04:05

Structure

FREQ

ADJUSTMENT

REF_AREA

SECTOR

COUNTERPART_SECTOR

TRANSACTION

INSTR_ASSET

ACTIVITY

EXPENDITURE

UNIT_MEASURE

PRICE_BASE

TRANSFORMATION

TABLE_IDENTIFIER

REF_YEAR_PRICE

BASE_PER

CONF_STATUS

DECIMALS

OBS_STATUS

UNIT_MULT

CURRENCY

U.S., Europe, France, Germany

D1 - Compensation of employees

1995-

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "D1",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  arrange(desc(date)) %>%
  rename(LOCATION = REF_AREA) %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) %>%
  group_by(Ref_area) %>%
  arrange(date) %>%
  mutate(obsValue = 100 * obsValue / obsValue[1]) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1995, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(100, 500, 20))

1999-

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "D1",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  rename(LOCATION = REF_AREA) %>%
  
  filter(date >= as.Date("1999-01-01")) %>%
  mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) %>%
  group_by(Ref_area) %>%
  mutate(obsValue = 100 * obsValue / obsValue[date == as.Date("1999-01-01")]) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(50, 400, 10))

B1GQ - Gross domestic product

1995-

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "B1GQ",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  arrange(desc(date)) %>%
  rename(LOCATION = REF_AREA) %>%
  
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) %>%
  group_by(Ref_area) %>%
  arrange(date) %>%
  mutate(obsValue = 100 * obsValue / obsValue[1]) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1995, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(100, 500, 20))

1999-

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "B1GQ",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  rename(LOCATION = REF_AREA) %>%
  
  filter(date >= as.Date("1999-01-01")) %>%
  mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) %>%
  group_by(Ref_area) %>%
  mutate(obsValue = 100 * obsValue / obsValue[date == as.Date("1999-01-01")]) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(50, 400, 10))