Weekly refresh 2026-10-25
Browse files- README.md +82 -0
- data/long.csv +137 -0
- data/long.parquet +3 -0
- data/wide_monthly.parquet +3 -0
- data/wide_quarterly.parquet +3 -0
- series.csv +14 -0
README.md
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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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# US macro data: Population (13 series)
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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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```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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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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## 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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```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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## Most-watched series in this package
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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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| 62 |
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| `POP` | Total Population: All Ages including Armed Forces Overseas | Thousands | Monthly | 1952 |
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| 63 |
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| `LNU00073395` | Population Level - Foreign Born | Thousands of Persons | Monthly | 2007 |
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| 64 |
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| `LNU00024230` | Population Level - 55 Yrs. & over | Thousands of Persons | Monthly | 1948 |
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| 65 |
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| `LNU00000060` | Population Level - 25-54 Yrs. | Thousands of Persons | Monthly | 1948 |
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| 66 |
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| `B230RC0Q173SBEA` | Population | Thousands | Quarterly | 1947 |
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| 67 |
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| `LNU00000012` | Population Level - 16-19 Yrs. | Thousands of Persons | Monthly | 1948 |
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| 68 |
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| `LNU00073413` | Population Level - Native Born | Thousands of Persons | Monthly | 2007 |
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| 69 |
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| `LNU00000036` | Population Level - 20-24 Yrs. | Thousands of Persons | Monthly | 1948 |
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| 70 |
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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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All 13 series: `series.csv`. Browse them at https://finzdata.com/macro/category/population.
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## More from FinzData
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| 76 |
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- Every macro category: https://huggingface.co/FinzData · index on GitHub: https://github.com/FinzData/macro-data
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| 77 |
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- Survivorship-free US stock prices since 2000, COT positioning, 13F holdings, insider trades, short interest
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| 78 |
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- Pricing (history bundles from $195 once): https://finzdata.com/pricing
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| 79 |
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- Python client (open source): https://github.com/FinzData/finzdata-python
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| 81 |
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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.
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data/long.csv
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| 1 |
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series_id,date,value
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| 2 |
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B230RC0Q173SBEA,2026-01-01,342583.0
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| 3 |
+
B230RC0Q173SBEA,2026-04-01,342749.0
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| 4 |
+
CNP16OV,2025-11-01,274633.0
|
| 5 |
+
CNP16OV,2025-12-01,274816.0
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| 6 |
+
CNP16OV,2026-01-01,274676.0
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| 7 |
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CNP16OV,2026-02-01,274766.0
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| 8 |
+
CNP16OV,2026-03-01,274858.0
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| 9 |
+
CNP16OV,2026-04-01,274955.0
|
| 10 |
+
CNP16OV,2026-05-01,275054.0
|
| 11 |
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CNP16OV,2026-06-01,275166.0
|
| 12 |
+
CNP16OV,2026-07-01,275282.0
|
| 13 |
+
CNP16OV,2026-08-01,275415.0
|
| 14 |
+
CNP16OV,2026-09-01,275554.0
|
| 15 |
+
LNU00000006,2025-11-01,35961.0
|
| 16 |
+
LNU00000006,2025-12-01,35995.0
|
| 17 |
+
LNU00000006,2026-01-01,35364.0
|
| 18 |
+
LNU00000006,2026-02-01,35388.0
|
| 19 |
+
LNU00000006,2026-03-01,35411.0
|
| 20 |
+
LNU00000006,2026-04-01,35434.0
|
| 21 |
+
LNU00000006,2026-05-01,35455.0
|
| 22 |
+
LNU00000006,2026-06-01,35477.0
|
| 23 |
+
LNU00000006,2026-07-01,35500.0
|
| 24 |
+
LNU00000006,2026-08-01,35526.0
|
| 25 |
+
LNU00000006,2026-09-01,35553.0
|
| 26 |
+
LNU00000012,2025-11-01,17808.0
|
| 27 |
+
LNU00000012,2025-12-01,17801.0
|
| 28 |
+
LNU00000012,2026-01-01,17617.0
|
| 29 |
+
LNU00000012,2026-02-01,17613.0
|
| 30 |
+
LNU00000012,2026-03-01,17608.0
|
| 31 |
+
LNU00000012,2026-04-01,17603.0
|
| 32 |
+
LNU00000012,2026-05-01,17579.0
|
| 33 |
+
LNU00000012,2026-06-01,17555.0
|
| 34 |
+
LNU00000012,2026-07-01,17531.0
|
| 35 |
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LNU00000012,2026-08-01,17508.0
|
| 36 |
+
LNU00000012,2026-09-01,17486.0
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| 37 |
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LNU00000036,2025-11-01,21965.0
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| 38 |
+
LNU00000036,2025-12-01,21968.0
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| 39 |
+
LNU00000036,2026-01-01,22236.0
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| 40 |
+
LNU00000036,2026-02-01,22203.0
|
| 41 |
+
LNU00000036,2026-03-01,22170.0
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| 42 |
+
LNU00000036,2026-04-01,22138.0
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| 43 |
+
LNU00000036,2026-05-01,22130.0
|
| 44 |
+
LNU00000036,2026-06-01,22123.0
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| 45 |
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LNU00000036,2026-07-01,22116.0
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| 46 |
+
LNU00000036,2026-08-01,22114.0
|
| 47 |
+
LNU00000036,2026-09-01,22112.0
|
| 48 |
+
LNU00000060,2025-11-01,131364.0
|
| 49 |
+
LNU00000060,2025-12-01,131469.0
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| 50 |
+
LNU00000060,2026-01-01,129994.0
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| 51 |
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LNU00000060,2026-02-01,130071.0
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| 52 |
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LNU00000060,2026-03-01,130096.0
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| 53 |
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LNU00000060,2026-04-01,130073.0
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| 54 |
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LNU00000060,2026-05-01,130111.0
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| 55 |
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LNU00000060,2026-06-01,130139.0
|
| 56 |
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LNU00000060,2026-07-01,130173.0
|
| 57 |
+
LNU00000060,2026-08-01,130195.0
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| 58 |
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LNU00000060,2026-09-01,130274.0
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| 59 |
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LNU00024230,2025-11-01,103496.0
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| 60 |
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LNU00024230,2025-12-01,103578.0
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| 61 |
+
LNU00024230,2026-01-01,104829.0
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| 62 |
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LNU00024230,2026-02-01,104878.0
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| 63 |
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LNU00024230,2026-03-01,104984.0
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| 64 |
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LNU00024230,2026-04-01,105140.0
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| 65 |
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LNU00024230,2026-05-01,105235.0
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| 66 |
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LNU00024230,2026-06-01,105349.0
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| 67 |
+
LNU00024230,2026-07-01,105462.0
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| 68 |
+
LNU00024230,2026-08-01,105598.0
|
| 69 |
+
LNU00024230,2026-09-01,105682.0
|
| 70 |
+
LNU00049526,2025-11-01,17131.0
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| 71 |
+
LNU00049526,2025-12-01,17092.0
|
| 72 |
+
LNU00049526,2026-01-01,17071.0
|
| 73 |
+
LNU00049526,2026-02-01,17045.0
|
| 74 |
+
LNU00049526,2026-03-01,17015.0
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| 75 |
+
LNU00049526,2026-04-01,16989.0
|
| 76 |
+
LNU00049526,2026-05-01,16961.0
|
| 77 |
+
LNU00049526,2026-06-01,16939.0
|
| 78 |
+
LNU00049526,2026-07-01,16912.0
|
| 79 |
+
LNU00049526,2026-08-01,16884.0
|
| 80 |
+
LNU00049526,2026-09-01,16860.0
|
| 81 |
+
LNU00073395,2025-11-01,48558.0
|
| 82 |
+
LNU00073395,2025-12-01,48905.0
|
| 83 |
+
LNU00073395,2026-01-01,49750.0
|
| 84 |
+
LNU00073395,2026-02-01,49316.0
|
| 85 |
+
LNU00073395,2026-03-01,49725.0
|
| 86 |
+
LNU00073395,2026-04-01,49660.0
|
| 87 |
+
LNU00073395,2026-05-01,49061.0
|
| 88 |
+
LNU00073395,2026-06-01,48564.0
|
| 89 |
+
LNU00073395,2026-07-01,48109.0
|
| 90 |
+
LNU00073395,2026-08-01,48504.0
|
| 91 |
+
LNU00073395,2026-09-01,48875.0
|
| 92 |
+
LNU00073413,2025-11-01,226075.0
|
| 93 |
+
LNU00073413,2025-12-01,225911.0
|
| 94 |
+
LNU00073413,2026-01-01,224925.0
|
| 95 |
+
LNU00073413,2026-02-01,225450.0
|
| 96 |
+
LNU00073413,2026-03-01,225133.0
|
| 97 |
+
LNU00073413,2026-04-01,225295.0
|
| 98 |
+
LNU00073413,2026-05-01,225993.0
|
| 99 |
+
LNU00073413,2026-06-01,226602.0
|
| 100 |
+
LNU00073413,2026-07-01,227173.0
|
| 101 |
+
LNU00073413,2026-08-01,226911.0
|
| 102 |
+
LNU00073413,2026-09-01,226678.0
|
| 103 |
+
LNU00074597,2025-11-01,36638.0
|
| 104 |
+
LNU00074597,2025-12-01,36199.0
|
| 105 |
+
LNU00074597,2026-01-01,36592.0
|
| 106 |
+
LNU00074597,2026-02-01,35868.0
|
| 107 |
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LNU00074597,2026-03-01,36209.0
|
| 108 |
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LNU00074597,2026-04-01,36615.0
|
| 109 |
+
LNU00074597,2026-05-01,36768.0
|
| 110 |
+
LNU00074597,2026-06-01,36905.0
|
| 111 |
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LNU00074597,2026-07-01,37029.0
|
| 112 |
+
LNU00074597,2026-08-01,36526.0
|
| 113 |
+
LNU00074597,2026-09-01,36701.0
|
| 114 |
+
POP,2025-11-01,342408.389
|
| 115 |
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POP,2025-12-01,342470.371
|
| 116 |
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POP,2026-01-01,342519.372
|
| 117 |
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POP,2026-02-01,342560.356
|
| 118 |
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POP,2026-03-01,342602.637
|
| 119 |
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POP,2026-04-01,342650.773
|
| 120 |
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POP,2026-05-01,342708.724
|
| 121 |
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POP,2026-06-01,342782.779
|
| 122 |
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POP,2026-07-01,342861.464
|
| 123 |
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POP,2026-08-01,342957.07
|
| 124 |
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POP,2026-09-01,343059.821
|
| 125 |
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POP,2026-10-01,343149.507
|
| 126 |
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POP,2026-11-01,343230.822
|
| 127 |
+
POP,2026-12-01,343289.575
|
| 128 |
+
POPTHM,2025-11-01,342439.0
|
| 129 |
+
POPTHM,2025-12-01,342495.0
|
| 130 |
+
POPTHM,2026-01-01,342540.0
|
| 131 |
+
POPTHM,2026-02-01,342581.0
|
| 132 |
+
POPTHM,2026-03-01,342627.0
|
| 133 |
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POPTHM,2026-04-01,342680.0
|
| 134 |
+
POPTHM,2026-05-01,342746.0
|
| 135 |
+
POPTHM,2026-06-01,342822.0
|
| 136 |
+
POPTHM,2026-07-01,342909.0
|
| 137 |
+
POPTHM,2026-08-01,343008.0
|
data/long.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8303f65a94b90c37abed44acf7dff418fd63bbbaf500a4803af7c702d91166b1
|
| 3 |
+
size 3324
|
data/wide_monthly.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:afce8dd15021b533a067ac0e818a9e54487fead5077fdb36eeb1c670ad7d50b9
|
| 3 |
+
size 8955
|
data/wide_quarterly.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d074539b14973c0409cc3fec4c2994a4d1ecbb3d2e08cf7b9f92bd758b630bd3
|
| 3 |
+
size 1788
|
series.csv
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
id,title,units,frequency,seasonal_adjustment,full_history_from,last_updated
|
| 2 |
+
POPTHM,Population,Thousands,Monthly,Not Seasonally Adjusted,1959-01-01,2026-09-30
|
| 3 |
+
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
|