| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| eurostat | bop_iip6_q | International investment position - quarterly and annual data (BPM6) | 2025-10-10 | 2025-10-10 |
International investment position - quarterly and annual data (BPM6)
Data - Eurostat
Info
Data on europe
| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| eurostat | bop_gdp6_q | Main Balance of Payments and International Investment Position items as share of GDP (BPM6) | 2025-10-10 | 2025-10-10 |
| eurostat | nama_10_a10 | Gross value added and income by A*10 industry breakdowns | 2025-10-10 | 2025-10-10 |
| eurostat | nama_10_a10_e | Employment by A*10 industry breakdowns | 2025-10-10 | 2025-10-09 |
| eurostat | nama_10_gdp | GDP and main components (output, expenditure and income) | 2025-10-10 | 2025-10-09 |
| eurostat | nama_10_lp_ulc | Labour productivity and unit labour costs | 2025-10-10 | 2025-10-10 |
| eurostat | namq_10_a10 | Gross value added and income A*10 industry breakdowns | 2025-10-10 | 2025-10-09 |
| eurostat | namq_10_a10_e | Employment A*10 industry breakdowns | 2025-05-24 | 2025-10-10 |
| eurostat | namq_10_gdp | GDP and main components (output, expenditure and income) | 2025-10-10 | 2025-10-10 |
| eurostat | namq_10_lp_ulc | Labour productivity and unit labour costs | 2025-10-10 | 2025-09-26 |
| eurostat | namq_10_pc | Main GDP aggregates per capita | 2025-10-10 | 2025-10-09 |
| eurostat | nasa_10_nf_tr | Non-financial transactions | 2025-10-10 | 2025-10-10 |
| eurostat | nasq_10_nf_tr | Non-financial transactions | 2025-10-10 | 2025-09-26 |
| eurostat | tipsii40 | Net international investment position - quarterly data, % of GDP | 2025-10-10 | 2025-10-09 |
Data on macro
| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| eurostat | nama_10_a10 | Gross value added and income by A*10 industry breakdowns | 2025-10-10 | 2025-10-10 |
| eurostat | nama_10_a10_e | Employment by A*10 industry breakdowns | 2025-10-10 | 2025-10-09 |
| eurostat | nama_10_gdp | GDP and main components (output, expenditure and income) | 2025-10-10 | 2025-10-09 |
| eurostat | nama_10_lp_ulc | Labour productivity and unit labour costs | 2025-10-10 | 2025-10-10 |
| eurostat | namq_10_a10 | Gross value added and income A*10 industry breakdowns | 2025-10-10 | 2025-10-09 |
| eurostat | namq_10_a10_e | Employment A*10 industry breakdowns | 2025-05-24 | 2025-10-10 |
| eurostat | namq_10_gdp | GDP and main components (output, expenditure and income) | 2025-10-10 | 2025-10-10 |
| eurostat | namq_10_lp_ulc | Labour productivity and unit labour costs | 2025-10-10 | 2025-09-26 |
| eurostat | namq_10_pc | Main GDP aggregates per capita | 2025-10-10 | 2025-10-09 |
| eurostat | nasa_10_nf_tr | Non-financial transactions | 2025-10-10 | 2025-10-10 |
| eurostat | nasq_10_nf_tr | Non-financial transactions | 2025-10-10 | 2025-09-26 |
| fred | gdp | Gross Domestic Product | 2025-10-09 | 2025-10-09 |
| 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) | 2025-10-10 | 2025-09-27 |
| wdi | NY.GDP.MKTP.CD | GDP (current USD) | 2025-10-10 | 2025-09-27 |
| wdi | NY.GDP.MKTP.PP.CD | GDP, PPP (current international D) | 2025-10-10 | 2025-09-27 |
| wdi | NY.GDP.PCAP.CD | GDP per capita (current USD) | 2025-10-10 | 2025-09-27 |
| wdi | NY.GDP.PCAP.KD | GDP per capita (constant 2015 USD) | 2025-10-10 | 2025-09-27 |
| wdi | NY.GDP.PCAP.PP.CD | GDP per capita, PPP (current international D) | 2025-10-10 | 2025-09-27 |
| wdi | NY.GDP.PCAP.PP.KD | GDP per capita, PPP (constant 2011 international D) | 2025-10-10 | 2025-09-27 |
Last
Code
bop_iip6_q %>%
group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(3) %>%
print_table_conditional()| time | Nobs |
|---|---|
| 2025Q2 | 466378 |
| 2025Q1 | 482691 |
| 2024Q4 | 483072 |
Info
Code
include_graphics("https://ec.europa.eu/eurostat/statistics-explained/images/b/be/Net_international_investment_position%2C_surplus_and_deficit%2C_Top_10_economies%2C_2022_%28€_billion%29.png")
currency
Code
bop_iip6_q %>%
left_join(currency, by = "currency") %>%
group_by(currency, Currency) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| currency | Currency | Nobs |
|---|---|---|
| MIO_EUR | Million euro | 29234477 |
| MIO_NAC | Million units of national currency | 29132796 |
bop_item
Code
bop_iip6_q %>%
left_join(bop_item, by = "bop_item") %>%
group_by(bop_item, Bop_item) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()sector10
Code
bop_iip6_q %>%
left_join(sector10, by = "sector10") %>%
group_by(sector10, Sector10) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| sector10 | Sector10 | Nobs |
|---|---|---|
| S1 | Total economy | 15769116 |
| S13 | General Government | 4604453 |
| S121 | Central Bank | 4517377 |
| S123 | Money market funds | 4411274 |
| S122 | Deposit-taking corporations except the central bank | 4242139 |
| S12T | Monetary Financial Institutions (MFI) other than central bank | 4033019 |
| S1P | Other sectors than MFIs and general government | 3996499 |
| S12M | Financial corporations other than MFIs | 3932383 |
| S1V | Non-financial corporations, households and non-profit institutions serving households | 3884872 |
| S12O | Other financial institutions | 1739512 |
| S11 | Non-financial corporations | 1737482 |
| S12Q | Insurance corporations and pension funds | 1720620 |
| S1M | Households and non-profit institutions serving households | 1706638 |
| S124 | Non-MMF investment funds | 1595800 |
| S1Z | Sectors other than deposit-taking corporations and general government | 170283 |
| S12R | Other financial corporations | 134020 |
| S1X | Monetary authorities | 119272 |
| S12K | Monetary financial institutions (MFI) | 48644 |
| S1A | Affiliates | 1290 |
| S1N | Not sectorised | 1290 |
| S1W | Other sectors than General Government | 1290 |
sectpart
Code
bop_iip6_q %>%
left_join(sectpart, by = "sectpart") %>%
group_by(sectpart, Sectpart) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| sectpart | Sectpart | Nobs |
|---|---|---|
| S1 | Total economy | 55381466 |
| S12M | Financial corporations other than MFIs | 372297 |
| S121 | Central Bank | 361058 |
| S123 | Money market funds | 360739 |
| S122 | Deposit-taking corporations except the central bank | 349769 |
| S13 | General Government | 331956 |
| S1V | Non-financial corporations, households and non-profit institutions serving households | 323374 |
| S12T | Monetary Financial Institutions (MFI) other than central bank | 230803 |
| S12O | Other financial institutions | 120628 |
| S11 | Non-financial corporations | 120506 |
| S12Q | Insurance corporations and pension funds | 118328 |
| S1M | Households and non-profit institutions serving households | 118096 |
| S124 | Non-MMF investment funds | 83074 |
| S1N | Not sectorised | 68316 |
| S12K | Monetary financial institutions (MFI) | 26861 |
| S1X | Monetary authorities | 2 |
stk_flow
Code
bop_iip6_q %>%
left_join(stk_flow, by = "stk_flow") %>%
group_by(stk_flow, Stk_flow) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| stk_flow | Stk_flow | Nobs |
|---|---|---|
| A_LE | Assets - positions at the end of period | 22449505 |
| L_LE | Liabilities - positions at the end of period | 14925524 |
| N_LE | Net positions at the end of period | 14710852 |
| A_K7A | Assets - revaluations due to exchange rate changes | 1007462 |
| A_K7B | Assets - revaluations due to other price changes | 946386 |
| A_KA | Assets - other changes in the volume of Assets/Liabilities | 898338 |
| L_K7A | Liabilities - revaluations due to exchange rate changes | 594161 |
| L_KA | Liabilities - other changes in the volume of Assets/Liabilities | 566198 |
| N_KA | Net other changes in the volume of Assets/Liabilities | 541860 |
| L_K7B | Liabilities - revaluations due to other price changes | 534992 |
| N_K7A | Net revaluations due to exchange rate changes | 523330 |
| N_K7B | Net revaluations due to other price changes | 513962 |
| NE_LE | Net liabilities (liabilities minus assets) | 153947 |
| NI_LE | Net FDI inward - positions at the end of period | 378 |
| NO_LE | Net FDI outward - positions at the end of period | 378 |
partner
Code
bop_iip6_q %>%
left_join(partner, by = "partner") %>%
group_by(partner, Partner) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Partner = ifelse(partner == "DE", "Germany", Partner)) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Partner)),
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 .}geo
Code
bop_iip6_q %>%
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 .}Net International Investment Position
Table
Code
bop_iip6_q %>%
filter(bop_item == "FA__NENDI",
currency == "MIO_EUR",
nchar(time) == 6) %>%
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 .}France, Germany, Spain, Netherlands, Italy
Code
bop_iip6_q %>%
filter(bop_item == "FA__NENDI",
currency == "MIO_EUR",
geo %in% c("FR", "DE", "EA19", "ES", "NL", "IT"),
nchar(time) == 6) %>%
quarter_to_date %>%
mutate(values = values/1000) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA20", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
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, 2030, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = seq(-3000, 3000, 250),
labels = dollar_format(suffix = " Bn€", prefix = "", accuracy = 1))
France, Germany, Europe
Code
bop_iip6_q %>%
filter(bop_item == "FA__NENDI",
currency == "MIO_EUR",
geo %in% c("FR", "DE", "EA20"),
nchar(time) == 6) %>%
quarter_to_date %>%
mutate(values = values/1000) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA20", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_2flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = seq(-3000, 3000, 250),
labels = dollar_format(suffix = " Bn€", prefix = "", accuracy = 1))
Spain, Netherlands, Italy
Code
bop_iip6_q %>%
filter(bop_item == "FA__NENDI",
currency == "MIO_EUR",
geo %in% c("ES", "NL", "IT"),
nchar(time) == 6) %>%
quarter_to_date %>%
mutate(values = values/1000) %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
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, 2030, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = seq(-3000, 3000, 250),
labels = dollar_format(suffix = " Bn€", prefix = "", accuracy = 1))