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series_id
large_stringclasses
182 values
date
date32
value
float64
-14,508
119M
ALLACBW027SBOG
2025-11-05
202.6188
ALLACBW027SBOG
2025-11-12
202.7449
ALLACBW027SBOG
2025-11-19
202.6666
ALLACBW027SBOG
2025-11-26
203.044
ALLACBW027SBOG
2025-12-03
202.905
ALLACBW027SBOG
2025-12-10
202.4437
ALLACBW027SBOG
2025-12-17
202.5592
ALLACBW027SBOG
2025-12-24
202.4888
ALLACBW027SBOG
2025-12-31
199.9801
ALLACBW027SBOG
2026-01-07
200.8348
ALLACBW027SBOG
2026-01-14
200.8003
ALLACBW027SBOG
2026-01-21
200.7346
ALLACBW027SBOG
2026-01-28
200.9347
ALLACBW027SBOG
2026-02-04
200.4174
ALLACBW027SBOG
2026-02-11
200.0495
ALLACBW027SBOG
2026-02-18
199.5948
ALLACBW027SBOG
2026-02-25
200.4561
ALLACBW027SBOG
2026-03-04
200.6296
ALLACBW027SBOG
2026-03-11
200.399
ALLACBW027SBOG
2026-03-18
200.6549
ALLACBW027SBOG
2026-03-25
200.5163
ALLACBW027SBOG
2026-04-01
201.0584
ALLACBW027SBOG
2026-04-08
202.0502
ALLACBW027SBOG
2026-04-15
202.2543
ALLACBW027SBOG
2026-04-22
202.0751
ALLACBW027SBOG
2026-04-29
202.3751
ALLACBW027SBOG
2026-05-06
202.2884
ALLACBW027SBOG
2026-05-13
202.4844
ALLACBW027SBOG
2026-05-20
202.1087
ALLACBW027SBOG
2026-05-27
202.5491
ALLACBW027SBOG
2026-06-03
202.5364
ALLACBW027SBOG
2026-06-10
202.4927
ALLACBW027SBOG
2026-06-17
202.5678
ALLACBW027SBOG
2026-06-24
203.3153
ALLACBW027SBOG
2026-07-01
201.7663
ALLACBW027SBOG
2026-07-08
201.0552
ALLACBW027SBOG
2026-07-15
201.9469
ALLACBW027SBOG
2026-07-22
201.7772
ALLACBW027SBOG
2026-07-29
202.1114
ALLACBW027SBOG
2026-08-05
202.2371
ALLACBW027SBOG
2026-08-12
202.1301
ALLACBW027SBOG
2026-08-19
201.8783
ALLACBW027SBOG
2026-08-26
202.3713
ALLACBW027SBOG
2026-09-02
202.476
ALLACBW027SBOG
2026-09-09
202.37
ALLACBW027SBOG
2026-09-16
202.4924
ALLACBW027SBOG
2026-09-23
203.1424
ALLACBW027SBOG
2026-09-30
201.3953
ALLACBW027SBOG
2026-10-07
202.1391
ALLACBW027SBOG
2026-10-14
202.2297
ALLACBW027SBOG
2026-10-21
202.144
AOLACBW027SBOG
2025-11-05
2,954.7238
AOLACBW027SBOG
2025-11-12
2,969.8175
AOLACBW027SBOG
2025-11-19
2,975.384
AOLACBW027SBOG
2025-11-26
2,989.4457
AOLACBW027SBOG
2025-12-03
2,984.2234
AOLACBW027SBOG
2025-12-10
3,004.9718
AOLACBW027SBOG
2025-12-17
3,007.4124
AOLACBW027SBOG
2025-12-24
3,019.1467
AOLACBW027SBOG
2025-12-31
3,034.5307
AOLACBW027SBOG
2026-01-07
3,048.5862
AOLACBW027SBOG
2026-01-14
3,060.4984
AOLACBW027SBOG
2026-01-21
3,077.8128
AOLACBW027SBOG
2026-01-28
3,081.844
AOLACBW027SBOG
2026-02-04
3,096.893
AOLACBW027SBOG
2026-02-11
3,114.4124
AOLACBW027SBOG
2026-02-18
3,121.1831
AOLACBW027SBOG
2026-02-25
3,131.1321
AOLACBW027SBOG
2026-03-04
3,131.7599
AOLACBW027SBOG
2026-03-11
3,146.2958
AOLACBW027SBOG
2026-03-18
3,142.1663
AOLACBW027SBOG
2026-03-25
3,158.8388
AOLACBW027SBOG
2026-04-01
3,198.6988
AOLACBW027SBOG
2026-04-08
3,203.1729
AOLACBW027SBOG
2026-04-15
3,208.1481
AOLACBW027SBOG
2026-04-22
3,211.5316
AOLACBW027SBOG
2026-04-29
3,207.002
AOLACBW027SBOG
2026-05-06
3,218.462
AOLACBW027SBOG
2026-05-13
3,232.0365
AOLACBW027SBOG
2026-05-20
3,241.7205
AOLACBW027SBOG
2026-05-27
3,244.8296
AOLACBW027SBOG
2026-06-03
3,234.8608
AOLACBW027SBOG
2026-06-10
3,262.2493
AOLACBW027SBOG
2026-06-17
3,266.5765
AOLACBW027SBOG
2026-06-24
3,268.1551
AOLACBW027SBOG
2026-07-01
3,287.1938
AOLACBW027SBOG
2026-07-08
3,289.8533
AOLACBW027SBOG
2026-07-15
3,311.3233
AOLACBW027SBOG
2026-07-22
3,302.159
AOLACBW027SBOG
2026-07-29
3,299.2506
AOLACBW027SBOG
2026-08-05
3,319.7709
AOLACBW027SBOG
2026-08-12
3,327.4909
AOLACBW027SBOG
2026-08-19
3,338.2967
AOLACBW027SBOG
2026-08-26
3,345.8855
AOLACBW027SBOG
2026-09-02
3,338.5541
AOLACBW027SBOG
2026-09-09
3,357.2973
AOLACBW027SBOG
2026-09-16
3,370.2775
AOLACBW027SBOG
2026-09-23
3,376.7574
AOLACBW027SBOG
2026-09-30
3,392.273
AOLACBW027SBOG
2026-10-07
3,407.4652
End of preview. Expand in Data Studio

US macro data: Money and Credit (182 series)

182 money and credit series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-01 on) of each series' latest values. It is refreshed weekly.

import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-money-credit/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-money-credit/data/wide_daily.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-money-credit"). Wide tables by frequency: wide_daily (1 series), wide_weekly (38 series), wide_biweekly (1 series), wide_monthly (57 series), wide_quarterly (84 series), wide_other (1 series). series.csv lists every series with its title, units, frequency and how far back the full history goes.

The full history, point in time, through one API

The FinzData API serves every series back to its first observation, every revision (what was known on any past date, so backtests do not peek at later revisions), and daily updates, in the same format:

import finzdata as fz                     # pip install finzdata
c = fz.Client()                           # free API key: https://api.finzdata.com/
c.macro("M2SL")                        # full history, latest values
c.macro("M2SL", vintage="first")       # as first released
c.macro("M2SL", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="money_credit")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
M2SL M2 Billions of Dollars Monthly 1959
GFDEBTN Federal Debt: Total Public Debt Millions of Dollars Quarterly, End of Period 1966
GFDEGDQ188S Federal Debt: Total Public Debt as Percent of Gross Domestic Product Percent of GDP Quarterly 1966
WM2NS M2 Billions of Dollars Weekly, Ending Monday 1980
M2V Velocity of M2 Money Stock Ratio Quarterly 1959
M1SL M1 Billions of Dollars Monthly 1959
BOGMBASE Monetary Base: Total Billions of Dollars Monthly 1959
M2REAL Real M2 Money Stock Billions of 1982-84 Dollars Monthly 1959
TOTRESNS Reserves of Depository Institutions: Total Billions of Dollars Monthly 1959
DRTSCILM Net Percentage of Domestic Banks Tightening Standards for Commercial and Industrial Loans to Large and Middle-Market Firms Percent Quarterly 1990
DRCLACBS Delinquency Rate on Consumer Loans, All Commercial Banks Percent Quarterly, End of Period 1987
DPSACBW027SBOG Deposits, All Commercial Banks Billions of U.S. Dollars Weekly, Ending Wednesday 1973
BUSLOANS Commercial and Industrial Loans, All Commercial Banks Billions of U.S. Dollars Monthly 1947
TOTBKCR Bank Credit, All Commercial Banks Billions of U.S. Dollars Weekly, Ending Wednesday 1973
TOTLL Loans and Leases in Bank Credit, All Commercial Banks Billions of U.S. Dollars Weekly, Ending Wednesday 1973
DRCRELEXFACBS Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks Percent Quarterly, End of Period 1991
FDHBFIN Federal Debt Held by Foreign and International Investors Billions of Dollars Quarterly, End of Period 1970
WM1NS M1 Billions of Dollars Weekly, Ending Monday 1975
DRALACBN Delinquency Rate on All Loans, All Commercial Banks Percent Quarterly, End of Period 1985
FYGFGDQ188S Federal Debt Held by the Public as Percent of Gross Domestic Product Percent of GDP Quarterly 1970
M1V Velocity of M1 Money Stock Ratio Quarterly 1959
DRBLACBS Delinquency Rate on Business Loans, All Commercial Banks Percent Quarterly, End of Period 1987
M2NS M2 Billions of Dollars Monthly 1959
TOTALSL Total Consumer Credit Owned and Securitized Millions of U.S. Dollars Monthly 1943
BCNSDODNS Nonfinancial Corporate Business; Debt Securities and Loans; Liability, Level Millions of U.S. Dollars Quarterly, End of Period 1945

All 182 series: series.csv. Browse them at https://finzdata.com/macro/category/money-credit.

More from FinzData

Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. Data for research, not investment advice.

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