Datasets:
File size: 6,134 Bytes
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license: other
license_name: public-domain-source-us-government
pretty_name: "US Macro Data: Inflation"
language:
- en
tags:
- finance
- economics
- macroeconomics
- time-series
- fred
- inflation
- quant
- backtesting
size_categories:
- 10K<n<100K
configs:
- config_name: long
data_files: data/long.parquet
default: true
- config_name: wide_daily
data_files: data/wide_daily.parquet
- config_name: wide_weekly
data_files: data/wide_weekly.parquet
- config_name: wide_monthly
data_files: data/wide_monthly.parquet
- config_name: wide_quarterly
data_files: data/wide_quarterly.parquet
- config_name: wide_semiannual
data_files: data/wide_semiannual.parquet
---
# US macro data: Inflation (959 series)
959 inflation series from US government sources, cleaned into one consistent format and ready for pandas.
This free package holds the **last 12 months** (2025-11-02 on) of each series' latest values. It is refreshed weekly.
```python
import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-inflation/data/long.parquet") # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-inflation/data/wide_daily.parquet") # one column per series
```
or `datasets.load_dataset("FinzData/macro-inflation")`. Wide tables by frequency: `wide_daily` (9 series), `wide_weekly` (5 series), `wide_monthly` (844 series), `wide_quarterly` (98 series), `wide_semiannual` (3 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:
```python
import finzdata as fz # pip install finzdata
c = fz.Client() # free API key: https://api.finzdata.com/
c.macro("CPIAUCSL") # full history, latest values
c.macro("CPIAUCSL", vintage="first") # as first released
c.macro("CPIAUCSL", as_of="2020-03-01") # exactly what was known on that date
c.macro_series(category="inflation") # the catalogue for this category
```
## Most-watched series in this package
| ID | Title | Units | Frequency | Full history from |
|---|---|---|---|---|
| `CPIAUCSL` | Consumer Price Index for All Urban Consumers: All Items in U.S. City Average | Index 1982-1984=100 | Monthly | 1947 |
| `DFII10` | Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed | Percent | Daily | 2003 |
| `T10YIE` | 10-Year Breakeven Inflation Rate | Percent | Daily | 2003 |
| `T5YIE` | 5-Year Breakeven Inflation Rate | Percent | Daily | 2003 |
| `PCEPI` | Personal Consumption Expenditures: Chain-type Price Index | Index 2017=100 | Monthly | 1959 |
| `CPILFESL` | Consumer Price Index for All Urban Consumers: All Items Less Food and Energy in U.S. City Average | Index 1982-1984=100 | Monthly | 1957 |
| `T5YIFR` | 5-Year, 5-Year Forward Inflation Expectation Rate | Percent | Daily | 2003 |
| `CORESTICKM159SFRBATL` | Sticky Price Consumer Price Index less Food and Energy | Percent Change from Year Ago | Monthly | 1967 |
| `CPIAUCNS` | Consumer Price Index for All Urban Consumers: All Items in U.S. City Average | Index 1982-1984=100 | Monthly | 1913 |
| `PPIACO` | Producer Price Index by Commodity: All Commodities | Index 1982=100 | Monthly | 1913 |
| `DFII5` | Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed | Percent | Daily | 2003 |
| `DFII30` | Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed | Percent | Daily | 2010 |
| `CUUR0000SA0R` | Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average | Index 1982-1984=100 | Monthly | 1913 |
| `CPIMEDNS` | Consumer Price Index for All Urban Consumers: Medical Care in U.S. City Average | Index 1982-1984=100 | Monthly | 1935 |
| `CUSR0000SETA02` | Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average | Index 1982-1984=100 | Monthly | 1953 |
| `GDPDEF` | Gross Domestic Product: Implicit Price Deflator | Index 2017=100 | Quarterly | 1947 |
| `PCU325211325211` | Producer Price Index by Industry: Plastics Material and Resin Manufacturing | Index Dec 1980=100 | Monthly | 1976 |
| `USSTHPI` | All-Transactions House Price Index for the United States | Index 1980:Q1=100 | Quarterly | 1975 |
| `WPUSI012011` | Producer Price Index by Commodity: Special Indexes: Construction Materials | Index 1982=100 | Monthly | 1947 |
| `EXPINF1YR` | 1-Year Expected Inflation | Percent | Monthly | 1982 |
| `MEDCPIM158SFRBCLE` | Median Consumer Price Index | Percent Change at Annual Rate | Monthly | 1983 |
| `PCUOMFGOMFG` | Producer Price Index by Industry: Total Manufacturing Industries | Index Dec 1984=100 | Monthly | 1984 |
| `WPU0911` | Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Wood Pulp | Index 1982=100 | Monthly | 1926 |
| `WPU101707` | Producer Price Index by Commodity: Metals and Metal Products: Cold Rolled Steel Sheet and Strip | Index Jun 1982=100 | Monthly | 1982 |
| `CUSR0000SAF11` | Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average | Index 1982-1984=100 | Monthly | 1952 |
All 959 series: `series.csv`. Browse them at https://finzdata.com/macro/category/inflation.
## 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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