Financial Accounts of the United States (2024)

Data - FRB

Info

The Financial Accounts of the United States includes data on transactions and levels of financial assets and liabilities, by sector and financial instrument; full balance sheets, including net worth, for households and nonprofit organizations, nonfinancial corporate businesses, and nonfinancial noncorporate businesses; Integrated Macroeconomic Accounts; and additional supplemental detail.

  • Flow of Funds. pdf
Code
Z1_csv_var %>% group_by(table, table_desc) %>% summarise(Nobs = n()) %>% filter((table %in% (list.files(pattern = "\\.qmd$") %>% gsub(".qmd$", "", .)))) %>% mutate(html = paste0('<a target=_blank href=https://fgeerolf.com/data/frb/', table, '.html > html </a>')) %>% mutate(frb = paste0('<a target=_blank href=https://www.federalreserve.gov/releases/z1/20210610/html/', table, '.htm > frb </a>')) %>% {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}
Code
Z1_csv_var %>% group_by(table, table_desc) %>% summarise(Nobs = n()) %>% filter(!(table %in% (list.files(pattern = "\\.qmd$") %>% gsub(".qmd$", "", .)))) %>% mutate(frb = paste0('<a target=_blank href=https://www.federalreserve.gov/releases/z1/20210610/html/', table, '.htm > frb </a>')) %>% {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}
Code
Z1_struct_concepts %>% print_table_conditional()
iddefault
SERIES_PREFIXSeries prefix
UNITUnits
OBS_STATUSObservation status
SERIES_INSTRUMENTInstrument type
TIME_PERIODTime
FREQFrequency
CURRENCYCurrency
SERIES_SECTORSector
UNIT_MULTUnit multiplier
DESCRIPTIONSeries description
SERIES_NAMESeries Name
OBS_VALUEObservation value
SERIES_TYPESeries type
Code
Z1 %>% left_join(OBS_STATUS, by = "OBS_STATUS") %>% group_by(OBS_STATUS, Obs_status) %>% summarise(Nobs = n()) %>% print_table_conditional()
OBS_STATUSObs_statusNobs
ANormal3530542
NDNo data152994
Code
Z1 %>% left_join(SERIES_INSTRUMENT, by = "SERIES_INSTRUMENT") %>% group_by(SERIES_INSTRUMENT, Series_instrument) %>% summarise(Nobs = n()) %>% print_table_conditional()
Code
Z1 %>% left_join(SERIES_SECTOR, by = "SERIES_SECTOR") %>% group_by(SERIES_SECTOR, Series_sector) %>% summarise(Nobs = n()) %>% print_table_conditional()
Code
Z1 %>% left_join(SERIES_PREFIX, by = "SERIES_PREFIX") %>% group_by(SERIES_PREFIX, Series_prefix) %>% summarise(Nobs = n()) %>% print_table_conditional()
SERIES_PREFIXSeries_prefixNobs
FATransactions, SA958349
FCChange in levels, NSA5138
FGGrowth rates, SA3670
FLLevels, NSA807626
FRRevaluation763625
FUTransactions, NSA971206
FVOther changes in volume21717
LALevels, SA3720
LMMarket value levels, NSA147506
PCPercent change in index979
Code
Z1 %>% left_join(FREQ, by = "FREQ") %>% group_by(FREQ, Freq) %>% summarise(Nobs = n()) %>% print_table_conditional()
FREQFreqNobs
162Quarterly2924124
203Annual759412
Code
Z1 %>% left_join(UNIT_MULT, by = "UNIT_MULT") %>% group_by(UNIT_MULT, Unit_mult) %>% summarise(Nobs = n()) %>% print_table_conditional()
UNIT_MULTUnit_multNobs
1One16041
1000000Millions3667495
Code
Z1 %>% left_join(UNIT, by = "UNIT") %>% group_by(UNIT, Unit) %>% summarise(Nobs = n()) %>% print_table_conditional()
UNITUnitNobs
CurrencyCurrency3667495
PercentPercent16041
Code
Z1 %>% left_join(CURRENCY, by = "CURRENCY") %>% group_by(CURRENCY, Currency) %>% summarise(Nobs = n()) %>% print_table_conditional()
CURRENCYCurrencyNobs
NANot Applicable16041
USDUnited States / United States Dollar3667495

Tobin’s Q for Nonfinancial Corporations

Code
ig_d("frb", "B103", "tobin-q-SDMX")

Financial Accounts of the United States (1)

Equipment, Real estate

Code
ig_d("frb", "B103", "corporate-bonds-equities")

Financial Accounts of the United States (2)

Current cost VS market value housing

Code
ig_d("frb", "B101", "structures-real-estate")

Financial Accounts of the United States (3)

Corporate Equities, Pensions, Real Estate

Code
ig_d("frb", "B101", "line-3-23-27")

Financial Accounts of the United States (4)

Financial Accounts of the United States (2024)
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