series_id large_stringlengths 10 15 | date date32 | value float64 -7.36 4.08B |
|---|---|---|
NAEXKP02ATQ657S | 2026-01-01 | 0.214303 |
NAEXKP02ATQ657S | 2026-04-01 | -0.0733 |
NAEXKP02ATQ659S | 2026-01-01 | 0.840105 |
NAEXKP02ATQ659S | 2026-04-01 | 0.380578 |
NAEXKP02AUQ657S | 2026-01-01 | 0.420237 |
NAEXKP02AUQ657S | 2026-04-01 | 0.413163 |
NAEXKP02AUQ659S | 2026-01-01 | 2.371386 |
NAEXKP02AUQ659S | 2026-04-01 | 1.786408 |
NAEXKP02BEQ657S | 2026-01-01 | 0.625929 |
NAEXKP02BEQ657S | 2026-04-01 | 0.356276 |
NAEXKP02BEQ659S | 2026-01-01 | 1.09933 |
NAEXKP02BEQ659S | 2026-04-01 | 1.048258 |
NAEXKP02BRQ657S | 2026-01-01 | 0.844278 |
NAEXKP02BRQ657S | 2026-04-01 | -0.443805 |
NAEXKP02BRQ659S | 2026-01-01 | 1.675897 |
NAEXKP02BRQ659S | 2026-04-01 | 0.440018 |
NAEXKP02CAQ657S | 2026-01-01 | 0.582295 |
NAEXKP02CAQ657S | 2026-04-01 | 0.811829 |
NAEXKP02CAQ659S | 2026-01-01 | 2.17284 |
NAEXKP02CAQ659S | 2026-04-01 | 1.919582 |
NAEXKP02CHQ657S | 2026-01-01 | 0.052625 |
NAEXKP02CHQ657S | 2026-04-01 | 0.300846 |
NAEXKP02CHQ659S | 2026-01-01 | 1.408691 |
NAEXKP02CHQ659S | 2026-04-01 | 1.310943 |
NAEXKP02CLQ657S | 2026-01-01 | 0.864776 |
NAEXKP02CLQ657S | 2026-04-01 | -0.543627 |
NAEXKP02CLQ659S | 2026-01-01 | 2.547601 |
NAEXKP02CLQ659S | 2026-04-01 | 0.986781 |
NAEXKP02CZQ657S | 2026-01-01 | 0.246528 |
NAEXKP02CZQ657S | 2026-04-01 | 0.588236 |
NAEXKP02CZQ659S | 2026-01-01 | 3.302422 |
NAEXKP02CZQ659S | 2026-04-01 | 2.709847 |
NAEXKP02DEQ657S | 2026-01-01 | -0.57942 |
NAEXKP02DEQ657S | 2026-04-01 | 0.125523 |
NAEXKP02DEQ659S | 2026-01-01 | 0.143663 |
NAEXKP02DEQ659S | 2026-04-01 | 0.404596 |
NAEXKP02DKQ657S | 2026-01-01 | 1.161501 |
NAEXKP02DKQ657S | 2026-04-01 | 0.020697 |
NAEXKP02DKQ659S | 2026-01-01 | 2.818524 |
NAEXKP02DKQ659S | 2026-04-01 | 2.604526 |
NAEXKP02EEQ657S | 2026-01-01 | 1.001633 |
NAEXKP02EEQ657S | 2026-04-01 | -0.031266 |
NAEXKP02EEQ659S | 2026-01-01 | 2.48647 |
NAEXKP02EEQ659S | 2026-04-01 | 1.34113 |
NAEXKP02ESQ657S | 2026-01-01 | 0.33934 |
NAEXKP02ESQ657S | 2026-04-01 | 1.204334 |
NAEXKP02ESQ659S | 2026-01-01 | 3.003809 |
NAEXKP02ESQ659S | 2026-04-01 | 3.530633 |
NAEXKP02FIQ657S | 2026-01-01 | 0.710594 |
NAEXKP02FIQ657S | 2026-04-01 | -0.013504 |
NAEXKP02FIQ659S | 2026-01-01 | 0.17586 |
NAEXKP02FIQ659S | 2026-04-01 | 1.106066 |
NAEXKP02FRQ657S | 2026-01-01 | -0.27871 |
NAEXKP02FRQ657S | 2026-04-01 | 0.292714 |
NAEXKP02FRQ659S | 2026-01-01 | 0.124107 |
NAEXKP02FRQ659S | 2026-04-01 | 0.359133 |
NAEXKP02GBQ657S | 2026-01-01 | 0.664175 |
NAEXKP02GBQ657S | 2026-04-01 | 0.284739 |
NAEXKP02GBQ659S | 2026-01-01 | 0.862028 |
NAEXKP02GBQ659S | 2026-04-01 | 1.144229 |
NAEXKP02GRQ657S | 2026-01-01 | -0.288959 |
NAEXKP02GRQ657S | 2026-04-01 | 0.923555 |
NAEXKP02GRQ659S | 2026-01-01 | 0.183485 |
NAEXKP02GRQ659S | 2026-04-01 | 1.688911 |
NAEXKP02HUQ657S | 2026-01-01 | 1.591484 |
NAEXKP02HUQ657S | 2026-04-01 | 0.644467 |
NAEXKP02HUQ659S | 2026-01-01 | 5.181738 |
NAEXKP02HUQ659S | 2026-04-01 | 4.153602 |
NAEXKP02IDQ657S | 2026-01-01 | 1.320797 |
NAEXKP02IDQ657S | 2026-04-01 | 1.225685 |
NAEXKP02IDQ659S | 2026-01-01 | 5.24201 |
NAEXKP02IDQ659S | 2026-04-01 | 5.119929 |
NAEXKP02IEQ657S | 2026-01-01 | 0.819109 |
NAEXKP02IEQ657S | 2026-04-01 | 0.953641 |
NAEXKP02IEQ659S | 2026-01-01 | 2.75523 |
NAEXKP02IEQ659S | 2026-04-01 | 2.704584 |
NAEXKP02ILQ657S | 2026-01-01 | -1.085966 |
NAEXKP02ILQ657S | 2026-04-01 | 3.545039 |
NAEXKP02ILQ659S | 2026-01-01 | 1.054885 |
NAEXKP02ILQ659S | 2026-04-01 | 6.749473 |
NAEXKP02INQ657S | 2026-01-01 | 1.674222 |
NAEXKP02INQ657S | 2026-04-01 | 1.715182 |
NAEXKP02INQ659S | 2026-01-01 | 7.446584 |
NAEXKP02INQ659S | 2026-04-01 | 7.297717 |
NAEXKP02ISQ657S | 2026-01-01 | -0.444099 |
NAEXKP02ISQ657S | 2026-04-01 | 0.092676 |
NAEXKP02ISQ659S | 2026-01-01 | 1.753176 |
NAEXKP02ISQ659S | 2026-04-01 | 1.205745 |
NAEXKP02ITQ657S | 2026-01-01 | 0.468199 |
NAEXKP02ITQ657S | 2026-04-01 | 0.2948 |
NAEXKP02ITQ659S | 2026-01-01 | 1.160931 |
NAEXKP02ITQ659S | 2026-04-01 | 1.164246 |
NAEXKP02JPQ657S | 2026-01-01 | 0.448188 |
NAEXKP02JPQ657S | 2026-04-01 | 0.007466 |
NAEXKP02JPQ659S | 2026-01-01 | 1.304089 |
NAEXKP02JPQ659S | 2026-04-01 | 1.166569 |
NAEXKP02KRQ657S | 2026-01-01 | 0.564705 |
NAEXKP02KRQ657S | 2026-04-01 | 0.376247 |
NAEXKP02KRQ659S | 2026-01-01 | 2.752724 |
NAEXKP02KRQ659S | 2026-04-01 | 2.469429 |
US macro data: Consumption, International (326 series)
326 consumption, international series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-10-26 on) of each series' latest values. It is refreshed weekly.
import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-consumption-international/data/long.parquet") # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-consumption-international/data/wide_quarterly.parquet") # one column per series
or datasets.load_dataset("FinzData/macro-consumption-international"). Wide tables by frequency: wide_quarterly (326 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("NCRSAXDCAUQ") # full history, latest values
c.macro("NCRSAXDCAUQ", vintage="first") # as first released
c.macro("NCRSAXDCAUQ", as_of="2020-03-01") # exactly what was known on that date
c.macro_series(category="consumption_international") # the catalogue for this category
Most-watched series in this package
| ID | Title | Units | Frequency | Full history from |
|---|---|---|---|---|
NCRSAXDCAUQ |
Real Final Consumption Expenditure for Australia | Millions of Domestic Currency | Quarterly | 1959 |
NCPHIRNSAXDCIDQ |
Real Final Consumption Expenditure, Households for Indonesia | Millions of Domestic Currency | Quarterly | 2008 |
NCPRNSAXDCINQ |
Real Final Consumption Expenditure, Private Sector for India | Millions of Domestic Currency | Quarterly | 2004 |
NCRSAXDCDEQ |
Real Final Consumption Expenditure for Germany | Millions of Domestic Currency | Quarterly | 1991 |
NAEXKP03JPQ659S |
National Accounts: GDP by Expenditure: Constant Prices: Government Final Consumption Expenditure for Japan | Growth rate same period previous year | Quarterly | 1995 |
NCGGRNSAXDCARQ |
Real Final Consumption Expenditure, General Government for Argentina | Millions of Domestic Currency | Quarterly | 2004 |
NCPHIRNSAXDCRUQ |
Real Final Consumption Expenditure, Households for Russian Federation | Millions of Domestic Currency | Quarterly | 2003 |
NCPRSAXDCIDQ |
Real Final Consumption Expenditure, Private Sector for Indonesia | Billions of Domestic Currency | Quarterly | 2000 |
NCRNSAXDCINQ |
Real Final Consumption Expenditure for India | Millions of Domestic Currency | Quarterly | 2004 |
NAEXKP03TRQ659S |
National Accounts: GDP by Expenditure: Constant Prices: Government Final Consumption Expenditure for Turkey | Growth rate same period previous year | Quarterly | 1996 |
NCGGRNSAXDCINQ |
Real Final Consumption Expenditure, General Government for India | Millions of Domestic Currency | Quarterly | 2004 |
NCGGRNSAXDCMXQ |
Real Final Consumption Expenditure, General Government for Mexico | Millions of Domestic Currency | Quarterly | 1993 |
NCPHIRNSAXDCJPQ |
Real Final Consumption Expenditure, Households for Japan | Millions of Domestic Currency | Quarterly | 1994 |
NCPRSAXDCARQ |
Real Final Consumption Expenditure, Private Sector for Argentina | Millions of Domestic Currency | Quarterly | 2004 |
NCPRSAXDCBRQ |
Real Final Consumption Expenditure, Private Sector for Brazil | Millions of Domestic Currency | Quarterly | 1996 |
NCPRSAXDCITQ |
Real Final Consumption Expenditure, Private Sector for Italy | Millions of Domestic Currency | Quarterly | 1996 |
NCPRSAXDCMXQ |
Real Final Consumption Expenditure, Private Sector for Mexico | Millions of Domestic Currency | Quarterly | 1993 |
NCRSAXDCFRQ |
Real Final Consumption Expenditure for France | Millions of Domestic Currency | Quarterly | 1980 |
NCRSAXDCGBQ |
Real Final Consumption Expenditure for United Kingdom | Millions of Domestic Currency | Quarterly | 1995 |
NAEXKP02DEQ659S |
National Accounts: GDP by Expenditure: Constant Prices: Private Final Consumption Expenditure for Germany | Growth rate same period previous year | Quarterly | 1971 |
NAEXKP02GBQ657S |
National Accounts: GDP by Expenditure: Constant Prices: Private Final Consumption Expenditure for United Kingdom | Growth rate previous period | Quarterly | 1955 |
NAEXKP02INQ657S |
National Accounts: GDP by Expenditure: Constant Prices: Private Final Consumption Expenditure for India | Growth rate previous period | Quarterly | 2004 |
NAEXKP02JPQ657S |
National Accounts: GDP by Expenditure: Constant Prices: Private Final Consumption Expenditure for Japan | Growth rate previous period | Quarterly | 1994 |
NCGGRNSAXDCRUQ |
Real Final Consumption Expenditure, General Government for Russian Federation | Millions of Domestic Currency | Quarterly | 2003 |
NCGGRNSAXDCZAQ |
Real Final Consumption Expenditure, General Government for South Africa | Millions of Domestic Currency | Quarterly | 1993 |
All 326 series: series.csv. Browse them at https://finzdata.com/macro/category/consumption-international.
More from FinzData
- Every macro category: https://huggingface.co/FinzData · index on GitHub: https://github.com/FinzData/macro-data
- Survivorship-free US stock prices since 2000, COT positioning, 13F holdings, insider trades, short interest
- Pricing (history bundles from $195 once): https://finzdata.com/pricing
- Python client (open source): https://github.com/FinzData/finzdata-python
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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