Data
Every published series, in three formats, with the dictionary and the provenance record beside them. Nothing on this page is typed by hand — the counts and the bundle size are read from the package's own manifest at render time.
What the package contains
These are separate measures and they are deliberately not all equal. Forcing them to match would hide exactly the things a user needs to know.
| Measure | Count | What it means |
|---|---|---|
| Series registered | 62 | Entries in the Anu series registry. |
| Series published | 62 | Registry entries carrying publish: true. None is withheld. |
| CSV files | 62 | One per series. |
| Parquet files | 62 | One per series, same rows. |
| XLSX files | 62 | One per series, same rows. |
| Series with data | 60 | Files with at least one data row. 2 ship a header and nothing else — see Methodology. |
| Series that can be charted | 56 | Lower again: 3 are cross-sections with no year column and 1 is a hand-off note, not observations. |
| Observations | 1,149,344 | Data rows across every series file. |
| Source families | 7 | Derived from the registry's own source field, never hand-tagged. |
Download everything
Download the data bundle (.zip) Download the site code (.zip)
37,403,606 bytes. The zip unpacks to one dated folder holding csv/, parquet/ and xlsx/, plus the data dictionary, the provenance record, the terms, the citation file and the registry under metadata/. Per-member byte counts and SHA-256 hashes are published in BUNDLE_MANIFEST.csv, so the size above can be checked against the file rather than taken on trust.
Formats
CSV, XLSX and Parquet. JSON is not offered as a data format — the registry is reachable as metadata at /metadata/series_registry.json, which is a description of the data, not the data.
- data_dictionary.csv — 62 rows, one per series: name, family, units, source, kind, row count, first and last real observation.
- PROVENANCE.csv — one row per series: who published it, how it was built, how far it really runs, and its triage verdict.
- TERMS.md — terms of use. Each upstream publisher keeps its own.
- CITATION.cff — how to cite this dataset.
Every series
“Through” is the last real observation in the file, not a declared end year. Where a source also publishes projections they are shown separately and are never counted as observations.
| ID | Series | Family | Units | Rows | From | Through | Projections | Download |
|---|---|---|---|---|---|---|---|---|
D001 |
World population, total | global indicators wdi | persons | 210 | 1 | 2024 | — | CSV · XLSX · Parquet |
D002 |
Population, total by country | global indicators wdi | persons | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D003 |
Population ages 0-14, total by country | global indicators wdi | persons | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D004 |
Population ages 15-64 (working-age), total by country | global indicators wdi | persons | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D005 |
Population ages 65 and above, total by country | global indicators wdi | persons | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D006 |
Age dependency ratio (total) by country | global indicators wdi | ratio | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D007 |
Youth dependency ratio by country | global indicators wdi | ratio | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D008 |
Old-age dependency ratio by country | global indicators wdi | ratio | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D009 |
Fertility rate, total (births per woman) by country | global indicators wdi | births_per_woman | 13,856 | 1960 | 2023 | — | CSV · XLSX · Parquet |
D010 |
Life expectancy at birth, total by country | global indicators wdi | years | 13,854 | 1960 | 2023 | — | CSV · XLSX · Parquet |
D011 |
Net migration by country | global indicators wdi | persons | 14,105 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D012 |
International migrant stock (% of population) by country | global indicators wdi | percent | 1,728 | 1990 | 2024 | — | CSV · XLSX · Parquet |
D013 |
Urban population (% of total) by country | global indicators wdi | percent | 13,975 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D014 |
Population growth (annual %) by country | global indicators wdi | percent | 13,856 | 1961 | 2024 | — | CSV · XLSX · Parquet |
D015 |
Birth rate, crude (per 1,000) by country | global indicators wdi | per_1000 | 13,858 | 1960 | 2023 | — | CSV · XLSX · Parquet |
D016 |
Death rate, crude (per 1,000) by country | global indicators wdi | per_1000 | 13,858 | 1960 | 2023 | — | CSV · XLSX · Parquet |
D017 |
Under-5 mortality rate (per 1,000) by country | global indicators wdi | per_1000 | 11,619 | 1960 | 2023 | — | CSV · XLSX · Parquet |
D018 |
Population ages 0-14 (% of total) by country | global indicators wdi | percent | 0 | — | no data rows | — | CSV · XLSX · Parquet |
D019 |
Working-age population (% of total) by country | global indicators wdi | percent | 0 | — | no data rows | — | CSV · XLSX · Parquet |
D020 |
Population ages 65+ (% of total) by country | global indicators wdi | percent | 14,105 | 1960 | 2024 | — | CSV · XLSX · Parquet |
D021 |
Historical population, total by country (ClioInfra 1500-2000) | long run history | persons | 3,221 | 1500 | 2000 | — | CSV · XLSX · Parquet |
D022 |
Historical urban population by country (ClioInfra) | long run history | persons | 1,722 | 1500 | 2000 | — | CSV · XLSX · Parquet |
D023 |
Long-run population by country (Maddison spliced with WDI) | long run history | persons | 21,303 | 1 | 2024 | — | CSV · XLSX · Parquet |
D024 |
Maddison Project GDP per capita by country (1-2022) | long run history | 2011_international_dollars_geary_khamis | 131,144 | 1 | 2022 | — | CSV · XLSX · Parquet |
D025 |
WID total population by country | long run history | persons | 70,021 | 1800 | 2025 | — | CSV · XLSX · Parquet |
D026 |
WID female population by country | long run history | persons | 69,981 | 1800 | 2025 | — | CSV · XLSX · Parquet |
D027 |
WID male population by country | long run history | persons | 69,981 | 1800 | 2025 | — | CSV · XLSX · Parquet |
D028 |
US county/state total population (ACS) | us counties acs | persons | 28,865 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D029 |
US county/state median age (ACS) | us counties acs | years | 28,865 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D030 |
US county/state White population (ACS) | us counties acs | persons | 28,796 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D031 |
US county/state Black population (ACS) | us counties acs | persons | 28,796 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D032 |
US county/state Asian population (ACS) | us counties acs | persons | 28,796 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D033 |
US county/state Hispanic/Latino population (ACS) | us counties acs | persons | 26,709 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D034 |
US county/state median household income (ACS) | us counties acs | usd | 28,860 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D035 |
US county/state labor force (ACS) | us counties acs | persons | 28,864 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D036 |
US county/state unemployed (ACS) | us counties acs | persons | 28,864 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D037 |
US county/state housing units (ACS) | us counties acs | persons | 28,865 | 2015 | 2022 | — | CSV · XLSX · Parquet |
D038 |
US county net domestic migration (IRS SOI) | us migration irs | persons_proxy | 15,713 | 2019 | 2023 | — | CSV · XLSX · Parquet |
D039 |
US county-to-county migration flows (IRS SOI, partial extract) | us migration irs | persons_proxy | 50 | 2023 | 2023 | — | CSV · XLSX · Parquet |
D040 |
US state net domestic migration (IRS SOI) | us migration irs | persons_proxy | 255 | 2019 | 2023 | — | CSV · XLSX · Parquet |
D041 |
US county/state total population (ACS 5-Yr full) | us counties acs | persons | 19,636 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D042 |
US county/state median age (ACS 5-Yr full) | us counties acs | years | 19,636 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D043 |
US county/state Hispanic/Latino population (ACS) | us counties acs | persons | 19,636 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D044 |
US county/state White non-Hispanic (ACS) | us counties acs | persons | 19,636 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D045 |
US county/state Black non-Hispanic (ACS) | us counties acs | persons | 19,636 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D046 |
US county/state foreign-born population (ACS) | us counties acs | persons | 19,636 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D047 |
US county/state interstate in-migrants (ACS) | us counties acs | persons | 19,161 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D048 |
US county/state international in-migrants (ACS) | us counties acs | persons | 19,161 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D049 |
US foreign-born share by state (derived) | us counties acs | ratio | 312 | 2017 | 2022 | — | CSV · XLSX · Parquet |
D050 |
Population by country, IDB (2000-2100 incl. projections) | world projections idb | persons | 6,999 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D051 |
Total fertility rate by country, IDB (2000-2100) | world projections idb | births_per_woman | 6,974 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D052 |
Crude birth rate by country, IDB | world projections idb | per_1000 | 6,987 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D053 |
Crude death rate by country, IDB | world projections idb | per_1000 | 6,987 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D054 |
Natural increase by country, IDB | world projections idb | persons | 6,987 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D055 |
Female population by country, IDB | world projections idb | persons | 6,999 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D056 |
Population density by country, IDB | world projections idb | persons_per_km2 | 7,037 | 2000 | 2024 | 2100 | CSV · XLSX · Parquet |
D057 |
US county population by age band (PEP) | us age structure pep | persons | 16,110 | — | single vintage | — | CSV · XLSX · Parquet |
D058 |
US old-age dependency ratio by county (derived) | us age structure pep | ratio | 3,222 | — | single vintage | — | CSV · XLSX · Parquet |
D059 |
US total dependency ratio by county (derived) | us age structure pep | ratio | 3,222 | — | single vintage | — | CSV · XLSX · Parquet |
XS001 |
US state population by race (cross-project extract) | cross project feeds | persons | 1 | — | not a series | — | CSV · XLSX · Parquet |
XS002 |
Working-age population by country (cross-project extract) | cross project feeds | persons | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |
XS003 |
Elderly dependency ratio (cross-project extract) | cross project feeds | ratio | 14,075 | 1960 | 2024 | — | CSV · XLSX · Parquet |