Real interest rate (%)

Data - WDI

Author

François Geerolf

Info

source dataset Title .html .rData
wdi FR.INR.RINR Real interest rate (%) 2026-07-24 2026-07-24

Data on interest rates

source dataset Title .html .rData
bdf FM Marché financier, taux 2026-07-24 2026-07-24
bdf MIR Taux d'intérêt - Zone euro 2026-07-24 2026-07-24
bdf MIR1 Taux d'intérêt - France 2026-07-24 2026-07-24
bis CBPOL_D Policy Rates, Daily 2026-07-18 2025-08-20
bis CBPOL_M Policy Rates, Monthly 2026-07-24 2024-04-19
ecb FM Financial market data 2026-07-24 2026-07-24
ecb MIR MFI Interest Rate Statistics 2026-07-24 2026-07-24
eurostat ei_mfir_m Interest rates - monthly data 2026-07-23 2026-07-23
eurostat irt_lt_mcby_d EMU convergence criterion series - daily data 2026-07-24 2025-07-24
eurostat irt_st_m Money market interest rates - monthly data 2026-07-24 2026-07-23
fred r Interest Rates 2026-07-24 2026-07-24
oecd MEI Main Economic Indicators 2026-07-24 2025-07-24
oecd MEI_FIN Monthly Monetary and Financial Statistics (MEI) 2024-09-15 2025-07-24
wdi FR.INR.DPST Deposit interest rate (%) 2026-07-24 2026-07-24
wdi FR.INR.LEND Lending interest rate (%) 2026-07-24 2026-07-24
wdi FR.INR.RINR Real interest rate (%) 2026-07-24 2026-07-24

LAST_COMPILE

LAST_COMPILE
2026-07-25

Last

Code 
FR.INR.RINR %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()
year Nobs
2025 67

Nobs - Javascript

Code 
FR.INR.RINR %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  mutate(value = round(value, 2)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Real interest rate 1` = first(value) %>% paste0(" %"),
            `Year 2` = last(year),
            `Real interest rate 2` = last(value) %>% paste0(" %")) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Periods of Low Real interest rate

Code 
FR.INR.RINR %>%
  filter(value < 0) %>%
  arrange(value) %>%
  mutate(value = round(value, 2)) %>%
  left_join(iso2c, by = "iso2c") %>%
  select(iso2c, Iso2c, year, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

France, Italy, Germany

Code 
FR.INR.RINR %>%
  filter(iso2c %in% c("FR", "DE", "IT")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value, color = color) + 
  xlab("") + ylab("Real interest rate") +
  scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100,5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

Denmark, Netherlands, Sweden

Code 
FR.INR.RINR %>%
  filter(iso2c %in% c("DK", "SE", "NL")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value, color = color) + 
  xlab("") + ylab("Real interest rate") +
  scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100,5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

United States, United Kingdom, Japan

Code 
FR.INR.RINR %>%
  filter(iso2c %in% c("JP", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value, color = color) + 
  xlab("") + ylab("Real interest rate") +
  scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.85, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100,5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

Argentina

1996-2005

Code 
FR.INR.RINR %>%
  year_to_date() %>%
  filter(iso2c == "AR",
         date >= as.Date("1996-01-01"),
         date <= as.Date("2005-01-01")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value/100) + xlab("") + ylab("Real interest rate") +
  scale_x_date(breaks = seq(1900, 2100,1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 5),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

1996-2020

Code 
FR.INR.RINR %>%
  year_to_date() %>%
  filter(iso2c == "AR",
         date >= as.Date("1996-01-01"),
         date <= as.Date("2020-01-01")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value/100) + xlab("") + ylab("Real interest rate") +
  scale_x_date(breaks = seq(1900, 2100,1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 5),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

China

Code 
FR.INR.RINR %>%
  filter(iso2c == "CN") %>%
  year_to_date() %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value/100) + xlab("") + ylab("Real interest rate") +
  scale_x_date(breaks = seq(1900, 2100,5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 5),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")