series_id large_stringlengths 3 21 | date date32 | value float64 -14,199 26.5M |
|---|---|---|
A024RA3Q086SBEA | 2026-01-01 | 134.198 |
A024RA3Q086SBEA | 2026-04-01 | 135.872 |
A024RA3Q086SBEA | 2026-07-01 | 137.632 |
A024RC1Q027SBEA | 2026-01-01 | 4,388.547 |
A024RC1Q027SBEA | 2026-04-01 | 4,470.551 |
A024RC1Q027SBEA | 2026-07-01 | 4,575.914 |
A024RG3Q086SBEA | 2026-01-01 | 125.836 |
A024RG3Q086SBEA | 2026-04-01 | 126.608 |
A024RG3Q086SBEA | 2026-07-01 | 127.935 |
A024RL1Q225SBEA | 2026-01-01 | 4.4 |
A024RL1Q225SBEA | 2026-04-01 | 5.1 |
A024RL1Q225SBEA | 2026-07-01 | 5.3 |
A024RX1Q020SBEA | 2026-01-01 | 3,487.891 |
A024RX1Q020SBEA | 2026-04-01 | 3,531.391 |
A024RX1Q020SBEA | 2026-07-01 | 3,577.15 |
A136RA3Q086SBEA | 2026-01-01 | 51.787 |
A136RA3Q086SBEA | 2026-04-01 | 54.512 |
A136RA3Q086SBEA | 2026-07-01 | 52.505 |
A136RC1Q027SBEA | 2026-01-01 | 44.478 |
A136RC1Q027SBEA | 2026-04-01 | 46.804 |
A136RC1Q027SBEA | 2026-07-01 | 45.165 |
A136RG3Q086SBEA | 2026-01-01 | 122.165 |
A136RG3Q086SBEA | 2026-04-01 | 122.128 |
A136RG3Q086SBEA | 2026-07-01 | 122.356 |
A136RL1Q225SBEA | 2026-01-01 | -6.4 |
A136RL1Q225SBEA | 2026-04-01 | 22.8 |
A136RL1Q225SBEA | 2026-07-01 | -13.9 |
A136RX1Q020SBEA | 2026-01-01 | 36.407 |
A136RX1Q020SBEA | 2026-04-01 | 38.323 |
A136RX1Q020SBEA | 2026-07-01 | 36.912 |
A137RC1Q027SBEA | 2026-01-01 | 49.115 |
A137RC1Q027SBEA | 2026-04-01 | 47.795 |
A137RC1Q027SBEA | 2026-07-01 | 46.963 |
A137RG3Q086SBEA | 2026-01-01 | 130.993 |
A137RG3Q086SBEA | 2026-04-01 | 130.59 |
A137RG3Q086SBEA | 2026-07-01 | 131.496 |
A137RX1Q020SBEA | 2026-01-01 | 37.494 |
A137RX1Q020SBEA | 2026-04-01 | 36.599 |
A137RX1Q020SBEA | 2026-07-01 | 35.714 |
A1615C1Q027SBEA | 2026-01-01 | 485.515 |
A1615C1Q027SBEA | 2026-04-01 | 494.075 |
A1615C1Q027SBEA | 2026-07-01 | 504.814 |
A1618C1Q027SBEA | 2026-01-01 | 94.315 |
A1618C1Q027SBEA | 2026-04-01 | 95.221 |
A1618C1Q027SBEA | 2026-07-01 | 96.176 |
A194RA3Q086SBEA | 2026-01-01 | 103.757 |
A194RA3Q086SBEA | 2026-04-01 | 103.721 |
A194RA3Q086SBEA | 2026-07-01 | 103.75 |
A194RC1Q027SBEA | 2026-01-01 | 2,475.866 |
A194RC1Q027SBEA | 2026-04-01 | 2,494.006 |
A194RC1Q027SBEA | 2026-07-01 | 2,514.733 |
A194RG3Q086SBEA | 2026-01-01 | 134.831 |
A194RG3Q086SBEA | 2026-04-01 | 135.866 |
A194RG3Q086SBEA | 2026-07-01 | 136.957 |
A194RX1Q020SBEA | 2026-01-01 | 1,835.711 |
A194RX1Q020SBEA | 2026-04-01 | 1,835.072 |
A194RX1Q020SBEA | 2026-07-01 | 1,835.587 |
A262RA3Q086SBEA | 2026-01-01 | 132.118 |
A262RA3Q086SBEA | 2026-04-01 | 133.629 |
A262RA3Q086SBEA | 2026-07-01 | 135.211 |
A262RG3Q086SBEA | 2026-01-01 | 126.433 |
A262RG3Q086SBEA | 2026-04-01 | 127.362 |
A262RG3Q086SBEA | 2026-07-01 | 128.745 |
A262RL1Q225SBEA | 2026-01-01 | 4.1 |
A262RL1Q225SBEA | 2026-04-01 | 4.7 |
A262RL1Q225SBEA | 2026-07-01 | 4.8 |
A262RX1Q020SBEA | 2026-01-01 | 4,160.32 |
A262RX1Q020SBEA | 2026-04-01 | 4,207.925 |
A262RX1Q020SBEA | 2026-07-01 | 4,257.717 |
A264RA3Q086SBEA | 2026-01-01 | 122.439 |
A264RA3Q086SBEA | 2026-04-01 | 123.207 |
A264RA3Q086SBEA | 2026-07-01 | 123.968 |
A264RC1Q027SBEA | 2026-01-01 | 870.935 |
A264RC1Q027SBEA | 2026-04-01 | 888.209 |
A264RC1Q027SBEA | 2026-07-01 | 905.13 |
A264RG3Q086SBEA | 2026-01-01 | 129.365 |
A264RG3Q086SBEA | 2026-04-01 | 131.108 |
A264RG3Q086SBEA | 2026-07-01 | 132.785 |
A264RL1Q225SBEA | 2026-01-01 | 2.6 |
A264RL1Q225SBEA | 2026-04-01 | 2.5 |
A264RL1Q225SBEA | 2026-07-01 | 2.5 |
A264RX1Q020SBEA | 2026-01-01 | 673.277 |
A264RX1Q020SBEA | 2026-04-01 | 677.502 |
A264RX1Q020SBEA | 2026-07-01 | 681.687 |
A265RA3Q086SBEA | 2026-01-01 | 123.212 |
A265RA3Q086SBEA | 2026-04-01 | 124.037 |
A265RA3Q086SBEA | 2026-07-01 | 124.854 |
A265RC1Q027SBEA | 2026-01-01 | 751.376 |
A265RC1Q027SBEA | 2026-04-01 | 766.047 |
A265RC1Q027SBEA | 2026-07-01 | 780.844 |
A265RG3Q086SBEA | 2026-01-01 | 127.644 |
A265RG3Q086SBEA | 2026-04-01 | 129.271 |
A265RG3Q086SBEA | 2026-07-01 | 130.905 |
A265RL1Q225SBEA | 2026-01-01 | 2.8 |
A265RL1Q225SBEA | 2026-04-01 | 2.7 |
A265RL1Q225SBEA | 2026-07-01 | 2.7 |
A265RX1Q020SBEA | 2026-01-01 | 588.685 |
A265RX1Q020SBEA | 2026-04-01 | 592.626 |
A265RX1Q020SBEA | 2026-07-01 | 596.531 |
A266RA3Q086SBEA | 2026-01-01 | 117.804 |
US macro data: Consumption (1,602 series)
1,602 consumption series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-10-30 on) of each series' latest values. It is refreshed weekly.
import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-consumption/data/long.parquet") # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-consumption/data/wide_monthly.parquet") # one column per series
or datasets.load_dataset("FinzData/macro-consumption"). Wide tables by frequency: wide_monthly (119 series), wide_quarterly (1462 series), wide_annual (14 series), wide_other (7 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("PCEPILFE") # full history, latest values
c.macro("PCEPILFE", vintage="first") # as first released
c.macro("PCEPILFE", as_of="2020-03-01") # exactly what was known on that date
c.macro_series(category="consumption") # the catalogue for this category
Most-watched series in this package
| ID | Title | Units | Frequency | Full history from |
|---|---|---|---|---|
PCEPILFE |
Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) | Index 2017=100 | Monthly | 1959 |
DPCCRV1Q225SBEA |
Personal Consumption Expenditures (PCE) Excluding Food and Energy (Chain-Type Price Index) | Percent Change from Preceding Period | Quarterly | 1959 |
PCETRIM12M159SFRBDAL |
Trimmed Mean PCE Inflation Rate | Percent Change from Year Ago | Monthly | 1978 |
PCECC96 |
Real Personal Consumption Expenditures | Billions of Chained 2017 Dollars | Quarterly | 1947 |
DPCERE1Q156NBEA |
Shares of gross domestic product: Personal consumption expenditures | Percent | Quarterly | 1947 |
PCEC |
Personal Consumption Expenditures | Billions of Dollars | Quarterly | 1939 |
PCETRIM1M158SFRBDAL |
Trimmed Mean PCE Inflation Rate | Percent Change at Annual Rate | Monthly | 1977 |
PCEDG |
Personal Consumption Expenditures: Durable Goods | Billions of Dollars | Monthly | 1959 |
FDEFX |
Federal Government: National Defense Consumption Expenditures and Gross Investment | Billions of Dollars | Quarterly | 1946 |
IA001260M |
Personal Consumption Expenditures: Services Excluding Energy and Housing (Chain-Type Price Index) | Index 2017=100 | Monthly | 1959 |
PCECTPI |
Personal Consumption Expenditures: Chain-type Price Index | Index 2017=100 | Quarterly | 1947 |
GCEC1 |
Real Government Consumption Expenditures and Gross Investment | Billions of Chained 2017 Dollars | Quarterly | 1947 |
PCES |
Personal Consumption Expenditures: Services | Billions of Dollars | Monthly | 1959 |
PCEDGC96 |
Real Personal Consumption Expenditures: Durable Goods | Billions of Chained 2017 Dollars | Monthly | 1959 |
A794RX0Q048SBEA |
Real personal consumption expenditures per capita | Chained 2017 Dollars | Quarterly | 1947 |
DPCERD3Q086SBEA |
Personal consumption expenditures (implicit price deflator) | Index 2017=100 | Quarterly | 1947 |
GCE |
Government Consumption Expenditures and Gross Investment | Billions of Dollars | Quarterly | 1939 |
PCEND |
Personal Consumption Expenditures: Nondurable Goods | Billions of Dollars | Monthly | 1959 |
BPCCRO1Q156NBEA |
Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) | Percent Change from Quarter One Year Ago | Quarterly | 1960 |
DFXARC1M027SBEA |
Personal consumption expenditures: Food | Billions of Dollars | Monthly | 1959 |
DGDSRX1 |
Real Personal Consumption Expenditures: Goods | Billions of Chained 2017 Dollars | Monthly | 1995 |
DPCERY2Q224SBEA |
Contributions to percent change in real gross domestic product: Personal consumption expenditures | Percentage Points at Annual Rate | Quarterly | 1947 |
PCESC96 |
Real Personal Consumption Expenditures: Services | Billions of Chained 2017 Dollars | Monthly | 1959 |
DHLCRC1Q027SBEA |
Personal consumption expenditures: Services: Health care | Billions of Dollars | Quarterly | 1959 |
PCDG |
Personal Consumption Expenditures: Durable Goods | Billions of Dollars | Quarterly | 1939 |
All 1,602 series: series.csv. Browse them at https://finzdata.com/macro/category/consumption.
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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