Main GDP aggregates per capita

Data - Eurostat

Author

François Geerolf

Info

source dataset Title .html .rData
eurostat namq_10_pc Main GDP aggregates per capita 2026-01-16 2026-01-15

Data on macro

Title source dataset .html .RData
Gross value added and income by A*10 industry breakdowns eurostat nama_10_a10 2026-01-17 2026-01-16
Employment by A*10 industry breakdowns eurostat nama_10_a10_e 2026-01-17 2026-01-16
GDP and main components (output, expenditure and income) eurostat nama_10_gdp 2026-01-17 2026-01-16
Labour productivity and unit labour costs eurostat nama_10_lp_ulc 2026-01-17 2026-01-17
Gross value added and income A*10 industry breakdowns eurostat namq_10_a10 2026-01-17 2026-01-16
Employment A*10 industry breakdowns eurostat namq_10_a10_e 2025-05-24 2026-01-16
GDP and main components (output, expenditure and income) eurostat namq_10_gdp 2025-10-27 2026-01-16
Labour productivity and unit labour costs eurostat namq_10_lp_ulc 2026-01-17 2026-01-17
Main GDP aggregates per capita eurostat namq_10_pc 2026-01-16 2026-01-16
Non-financial transactions eurostat nasa_10_nf_tr 2026-01-16 2026-01-16
Non-financial transactions eurostat nasq_10_nf_tr 2026-01-16 2026-01-16
Gross Domestic Product fred gdp 2026-01-16 2026-01-16
Quarterly National Accounts oecd QNA 2024-06-06 2025-05-24
Gross domestic product (GDP) oecd SNA_TABLE1 2026-01-16 2025-05-24
Non-financial accounts by sectors oecd SNA_TABLE14A 2026-01-16 2024-06-30
Disposable income and net lending - net borrowing oecd SNA_TABLE2 2024-07-01 2024-04-11
Value added and its components by activity, ISIC rev4 oecd SNA_TABLE6A 2024-07-01 2024-06-30
External balance on goods and services (% of GDP) wdi NE.RSB.GNFS.ZS 2026-01-16 2026-01-16
GDP (current USD) wdi NY.GDP.MKTP.CD 2026-01-16 2026-01-16
GDP, PPP (current international D) wdi NY.GDP.MKTP.PP.CD 2026-01-16 2026-01-16
GDP per capita (current USD) wdi NY.GDP.PCAP.CD 2026-01-16 2026-01-16
GDP per capita (constant 2015 USD) wdi NY.GDP.PCAP.KD 2026-01-16 2026-01-16
GDP per capita, PPP (current international D) wdi NY.GDP.PCAP.PP.CD 2026-01-16 2026-01-16
GDP per capita, PPP (constant 2011 international D) wdi NY.GDP.PCAP.PP.KD 2026-01-16 2026-01-16

LAST_COMPILE

LAST_COMPILE
2026-01-17

Last

Code 
namq_10_pc %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2025Q3 2790

na_item

Code 
namq_10_pc %>%
  left_join(na_item, by = "na_item") %>%
  group_by(na_item, Na_item) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
na_item Na_item Nobs
B1GQ Gross domestic product at market prices 41888
P3 Final consumption expenditure 41860
P31_S14_S15 Household and NPISH final consumption expenditure 41860
P3_S13 Final consumption expenditure of general government 41860
P31_S14 Final consumption expenditure of households 40757
P31_S15 Final consumption expenditure of NPISH 40757
P31_S13 Individual consumption expenditure of general government 39969
P32_S13 Collective consumption expenditure of general government 39969
P41 Actual individual consumption 39857

unit

Code 
namq_10_pc %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

geo

Code 
namq_10_pc %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}