Datasets:

FinzData
/

macro-population

license: other
license_name: public-domain-source-us-government
pretty_name: 'US Macro Data: Population'
language:
  - en
tags:
  - finance
  - economics
  - macroeconomics
  - time-series
  - fred
  - population
  - quant
  - backtesting
size_categories:
  - n<1K
configs:
  - config_name: long
    data_files: data/long.parquet
    default: true
  - config_name: wide_monthly
    data_files: data/wide_monthly.parquet
  - config_name: wide_quarterly
    data_files: data/wide_quarterly.parquet

US macro data: Population (13 series)

13 population 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.

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

or datasets.load_dataset("FinzData/macro-population"). Wide tables by frequency: wide_monthly (12 series), wide_quarterly (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("POPTHM")                        # full history, latest values
c.macro("POPTHM", vintage="first")       # as first released
c.macro("POPTHM", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="population")          # the catalogue for this category

Most-watched series in this package

ID	Title	Units	Frequency	Full history from
`POPTHM`	Population	Thousands	Monthly	1959
`CNP16OV`	Population Level	Thousands of Persons	Monthly	1948
`LNU00074597`	Population - With a Disability, 16 Years and over	Thousands of Persons	Monthly	2008
`POP`	Total Population: All Ages including Armed Forces Overseas	Thousands	Monthly	1952
`LNU00073395`	Population Level - Foreign Born	Thousands of Persons	Monthly	2007
`LNU00024230`	Population Level - 55 Yrs. & over	Thousands of Persons	Monthly	1948
`LNU00000060`	Population Level - 25-54 Yrs.	Thousands of Persons	Monthly	1948
`B230RC0Q173SBEA`	Population	Thousands	Quarterly	1947
`LNU00000012`	Population Level - 16-19 Yrs.	Thousands of Persons	Monthly	1948
`LNU00073413`	Population Level - Native Born	Thousands of Persons	Monthly	2007
`LNU00000036`	Population Level - 20-24 Yrs.	Thousands of Persons	Monthly	1948
`LNU00000006`	Population Level - Black or African American	Thousands of Persons	Monthly	1972
`LNU00049526`	Population Level - Total Veterans, 18 Years and over	Thousands of Persons	Monthly	2000

All 13 series: series.csv. Browse them at https://finzdata.com/macro/category/population.

US macro data: Population (13 series)

The full history, point in time, through one API

Most-watched series in this package

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