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Weekly refresh 2026-10-25

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README.md ADDED
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+ ---
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+ license: other
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+ license_name: public-domain-source-us-government
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+ pretty_name: "US Macro Data: Population"
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+ language:
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+ - en
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+ tags:
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+ - finance
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+ - economics
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+ - macroeconomics
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+ - time-series
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+ - fred
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+ - population
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+ - quant
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+ - backtesting
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: long
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+ data_files: data/long.parquet
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+ default: true
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+ - config_name: wide_monthly
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+ data_files: data/wide_monthly.parquet
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+ - config_name: wide_quarterly
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+ data_files: data/wide_quarterly.parquet
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+ ---
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+
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+ # US macro data: Population (13 series)
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+
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+ 13 population series from US government sources, cleaned into one consistent format and ready for pandas.
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+ This free package holds the **last 12 months** (2025-10-25 on) of each series' latest values. It is refreshed weekly.
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+
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+ ```python
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+ import pandas as pd
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+ df = pd.read_parquet("hf://datasets/FinzData/macro-population/data/long.parquet") # series_id, date, value
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+ wide = pd.read_parquet("hf://datasets/FinzData/macro-population/data/wide_monthly.parquet") # one column per series
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+ ```
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+
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+ or `datasets.load_dataset("FinzData/macro-population")`. Wide tables by frequency: `wide_monthly` (12 series), `wide_quarterly` (1 series). `series.csv` lists every series
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+ with its title, units, frequency and how far back the full history goes.
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+
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+ ## The full history, point in time, through one API
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+ The FinzData API serves every series back to its first observation, **every revision** (what was known on any past
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+ date, so backtests do not peek at later revisions), and **daily updates**, in the same format:
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+
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+ ```python
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+ import finzdata as fz # pip install finzdata
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+ c = fz.Client() # free API key: https://api.finzdata.com/
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+ c.macro("POPTHM") # full history, latest values
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+ c.macro("POPTHM", vintage="first") # as first released
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+ c.macro("POPTHM", as_of="2020-03-01") # exactly what was known on that date
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+ c.macro_series(category="population") # the catalogue for this category
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+ ```
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+
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+ ## Most-watched series in this package
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+
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+ | ID | Title | Units | Frequency | Full history from |
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+ |---|---|---|---|---|
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+ | `POPTHM` | Population | Thousands | Monthly | 1959 |
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+ | `CNP16OV` | Population Level | Thousands of Persons | Monthly | 1948 |
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+ | `LNU00074597` | Population - With a Disability, 16 Years and over | Thousands of Persons | Monthly | 2008 |
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+ | `POP` | Total Population: All Ages including Armed Forces Overseas | Thousands | Monthly | 1952 |
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+ | `LNU00073395` | Population Level - Foreign Born | Thousands of Persons | Monthly | 2007 |
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+ | `LNU00024230` | Population Level - 55 Yrs. & over | Thousands of Persons | Monthly | 1948 |
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+ | `LNU00000060` | Population Level - 25-54 Yrs. | Thousands of Persons | Monthly | 1948 |
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+ | `B230RC0Q173SBEA` | Population | Thousands | Quarterly | 1947 |
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+ | `LNU00000012` | Population Level - 16-19 Yrs. | Thousands of Persons | Monthly | 1948 |
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+ | `LNU00073413` | Population Level - Native Born | Thousands of Persons | Monthly | 2007 |
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+ | `LNU00000036` | Population Level - 20-24 Yrs. | Thousands of Persons | Monthly | 1948 |
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+ | `LNU00000006` | Population Level - Black or African American | Thousands of Persons | Monthly | 1972 |
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+ | `LNU00049526` | Population Level - Total Veterans, 18 Years and over | Thousands of Persons | Monthly | 2000 |
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+
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+ All 13 series: `series.csv`. Browse them at https://finzdata.com/macro/category/population.
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+
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+ ## More from FinzData
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+ - Every macro category: https://huggingface.co/FinzData · index on GitHub: https://github.com/FinzData/macro-data
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+ - Survivorship-free US stock prices since 2000, COT positioning, 13F holdings, insider trades, short interest
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+ - Pricing (history bundles from $195 once): https://finzdata.com/pricing
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+ - Python client (open source): https://github.com/FinzData/finzdata-python
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+
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+ Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData.
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+ Data for research, not investment advice.
data/long.csv ADDED
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+ series_id,date,value
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series.csv ADDED
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+ id,title,units,frequency,seasonal_adjustment,full_history_from,last_updated
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+ POPTHM,Population,Thousands,Monthly,Not Seasonally Adjusted,1959-01-01,2026-09-30
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+ CNP16OV,Population Level,Thousands of Persons,Monthly,Not Seasonally Adjusted,1948-01-01,2026-10-02
4
+ LNU00074597,"Population - With a Disability, 16 Years and over",Thousands of Persons,Monthly,Not Seasonally Adjusted,2008-06-01,2026-10-02
5
+ POP,Total Population: All Ages including Armed Forces Overseas,Thousands,Monthly,Not Seasonally Adjusted,1952-01-01,2026-04-27
6
+ LNU00073395,Population Level - Foreign Born,Thousands of Persons,Monthly,Not Seasonally Adjusted,2007-01-01,2026-10-02
7
+ LNU00024230,Population Level - 55 Yrs. & over,Thousands of Persons,Monthly,Not Seasonally Adjusted,1948-01-01,2026-10-02
8
+ LNU00000060,Population Level - 25-54 Yrs.,Thousands of Persons,Monthly,Not Seasonally Adjusted,1948-01-01,2026-10-02
9
+ B230RC0Q173SBEA,Population,Thousands,Quarterly,Not Seasonally Adjusted,1947-01-01,2026-07-30
10
+ LNU00000012,Population Level - 16-19 Yrs.,Thousands of Persons,Monthly,Not Seasonally Adjusted,1948-01-01,2026-10-02
11
+ LNU00073413,Population Level - Native Born,Thousands of Persons,Monthly,Not Seasonally Adjusted,2007-01-01,2026-10-02
12
+ LNU00000036,Population Level - 20-24 Yrs.,Thousands of Persons,Monthly,Not Seasonally Adjusted,1948-01-01,2026-10-02
13
+ LNU00000006,Population Level - Black or African American,Thousands of Persons,Monthly,Not Seasonally Adjusted,1972-01-01,2026-10-02
14
+ LNU00049526,"Population Level - Total Veterans, 18 Years and over",Thousands of Persons,Monthly,Not Seasonally Adjusted,2000-01-01,2026-10-02