un-statistical-yearbook

The tables of the United Nations Statistical Yearbook as CSV files, as the United Nations Statistics Division (UNSD) publishes them on UNdata (https://data.un.org/Default.aspx, under "Popular statistical tables, country (area) and regional profiles"). Each table gathers one theme (population, national accounts, education, trade, energy, environment, internet use, development assistance and others) for countries, areas and regional aggregates, over several years. UNdata describes them as "produced as part of the UN Statistical Yearbook publication; but unlike the Yearbook which is published once a year, these 'live' tables are released as soon as possible after new data becomes available."

UNSD compiles the tables from other agencies. Every row carries a source column naming where its value comes from (the FAO for agriculture, the ILO for labour, UNESCO for education, and so on). UNdata's terms of use allow free copying and redistribution with UNdata cited, but they do not speak for those agencies, so this dataset publishes a row only when its originating agency's own terms allow redistribution, commercial use included. Rows from the WHO, ITU, IMF, IUCN, UNEP-WCMC, UNODC, UN Tourism, WIPO and the IPU are left out; Licence below gives each agency's terms and the reason.

Of the 147,026 records in the 33 CSVs, 105,902 are published, in 22 tables; 11 tables come entirely from agencies whose rows are left out and are not here. Each published table is one Parquet file, typed and in UTF-8. The CSVs of the 20 tables published whole are here unchanged; the CSVs of tables with any row left out are not uploaded. Two lists cover all 33 tables: tables (one row per table, with its published and excluded row counts) and sources (rows per Source value per table, with the agency, whether its rows are published and why).

Editions

The file names carry the yearbook edition: SYB68_314_202511_Internet Usage.csv is table 314 of the 68th edition (SYB68), dated November 2025 (202511). Each edition is a separate publication and has its own directory; a new edition will be added beside the others, not over them.

edition	files	rows	bytes	Last-Modified	"Updated" on the page
syb68	32	142,861	33,575,186	2026-02-02, and 2026-02-24 for table 1	22-Dec-2025, and 2-Mar-2026 for tables 1 and 246
syb61	1	4,165	974,684	2018-08-31	none stated

The page links 32 tables of SYB68 and, for "Population in the capital city, urban and rural areas", the table of SYB61 (2018), which has had no newer edition. Older editions of the other tables may still be on the server (for example SYB67_314_202411_Internet Usage.csv), but the page does not link them and the server refuses directory listings, so their names could only be guessed; they are not included. The files were fetched on 2026-10-06.

Tables

One subset per published table and edition, named <edition>.<table number>_<title>. A table with 0 published rows has no subset; "raw CSV" says whether its CSV is uploaded (only when every row is published). The table number is UNdata's, from the file name (internet use is 314 in SYB67 as in SYB68). The yearbook's own table code (T30) is in the first row of each CSV and in tables; it is renumbered between editions (T03 is a different table in SYB61 and SYB68).

subset	yearbook code	title (first row of the CSV)	topic on the page	rows	published	raw CSV
syb68.1_population_surface_area_and_density	T02	Population, density and surface area	Population	7,727	7,727	included
syb68.12_agricultural_index	T20	Agricultural production indices	Price and production indices	3,564	3,564	included
syb68.123_total_imports_exports_and_balance_of_trade	T21	Total imports, exports and balance of trade	International merchandise trade	4,995	4,995	included
syb68.125_balance_of_payments	T15	Balance of payments summary	Finance	3,305	0	withheld
syb68.128_consumer_price_index	T19	Consumer Price Index	Price and production indices	2,045	2,045	included
syb68.130_exchange_rates	T16	Exchange rates	Finance	3,516	0	withheld
syb68.145_land	T24	Land	Environment	6,297	5,283	withheld
syb68.153_gross_value_added_by_economic_activity	T14	Gross value added by kind of economic activity	National accounts	4,432	4,432	included
syb68.154_health_personnel	T10	Health personnel	Nutrition and health	6,260	0	withheld
syb68.176_tourist_visitors_arrival_and_expenditure	T31	Tourist/visitor arrivals and tourism expenditure	Tourism and transport	2,154	0	withheld
syb68.200_employment	T18	Employment by economic activity	Labour market	8,037	8,037	included
syb68.223_net_disbursements_from_official_oda_from_donors	T33	Net disbursements of official development assistance from donors	Development Assistance	632	632	included
syb68.226_net_disbursements_from_official_oda_to_recipients	T32	Net disbursements of official development assistance to recipients	Development Assistance	5,199	5,199	included
syb68.230_gdp_and_gdp_per_capita	T13	Gross domestic product and gross domestic product per capita	National accounts	6,768	6,768	included
syb68.245_public_expenditure_on_education_and_access_to_computers	T09	Public expenditure on education (as of 2021)	Education	2,365	2,365	included
syb68.246_population_growth_fertility_and_mortality_indicators	T03	Population growth and indicators of fertility and mortality	Population	7,161	6,504	withheld
syb68.263_production_trade_and_supply_of_energy	T23	Production, trade and supply of energy	Energy	8,700	8,700	included
syb68.264_patents	T29	Patents	Science and technology	1,973	0	withheld
syb68.285_research_and_development_expenditure_and_staff	T28	Research and development (R&D) expenditure and researchers (full time equivalent)	Science and technology	1,039	1,039	included
syb68.309_education	T07	Enrollment in primary, lower secondary and upper secondary education levels	Education	7,934	7,934	included
syb68.310_carbon_dioxide_emission_estimates	T26	CO2 emission estimates	Environment	3,488	3,488	included
syb68.313_threatened_species	T25	Threatened species	Environment	6,916	0	withheld
syb68.314_internet_usage	T30	Internet Usage	Communication	1,520	0	withheld
syb68.315_water_and_sanitation_services	T27	Water supply and sanitation services	Environment	3,519	0	withheld
syb68.317_seats_held_by_women_in_parliament	T05	Proportion of seats held by women in national parliament	Gender	1,952	0	withheld
syb68.319_ratio_of_girls_to_boys_in_education	T06	Ratio of girls to boys in primary, lower secondary and upper secondary education	Gender	3,347	3,347	included
syb68.323_teaching_staff_in_education	T08	Teaching staff at the primary, lower secondary and upper secondary levels	Education	3,685	3,685	included
syb68.325_expenditure_on_health	T11	Expenditure on health	Nutrition and health	2,292	0	withheld
syb68.327_international_migrants_and_refugees	T04	International migrants and refugees	Population	6,966	6,966	included
syb68.328_intentional_homicides_and_other_crimes	T12	Intentional homicides and other crimes	Crime	6,046	0	withheld
syb68.329_labour_force_and_unemployment	T17	Labour force participation and unemployment	Labour market	5,486	5,486	included
syb68.330_major_trading_partners	T22	Major trading partners	International merchandise trade	3,541	3,541	included
syb61.253_population_growth_rates_in_urban_areas_and_capital_cities	T03	Population and rates of growth in urban areas and capital cities	Population	4,165	4,165	included

tables has, per table: edition, table_number, subset, parquet (path), raw (path of the CSV), table_code and title (the CSV's first row), page_label and topic (as the UNdata page lists the table), edition_month (the yyyymm of the file name, NULL for SYB61), page_updated (the page's "Updated" date as written, NULL when the page states none), rows (records in the CSV), rows_published and rows_excluded, columns and sources (the number of distinct Source values). parquet is NULL for a table with no published rows.

sources has edition, table_number, subset, source (the Source text exactly as in the CSV), agency, published (whether its rows are in the table's Parquet), reason (the agency's terms in a sentence, with their URL) and rows.

Files and columns

Every CSV has the same layout: the yearbook table code and title in the first row (T30,Internet Usage,,,,,), a header in the second, then one record per row. In the Parquet, the header becomes:

CSV header	column	type
Region/Country/Area	area_code	INTEGER
(no name)	area	VARCHAR
Year	year	INTEGER
Series	series	VARCHAR
Value	value	DOUBLE
Footnotes	footnotes	VARCHAR
Source	source	VARCHAR

Six tables have one attribute column and its footnote between Series and Value, named after the header in snake case (% as pct):

subset	CSV header	columns
syb68.123_total_imports_exports_and_balance_of_trade	System of trade, System of trade footnote	system_of_trade, system_of_trade_footnote
syb68.130_exchange_rates	National currency, ... footnote	national_currency, national_currency_footnote
syb68.176_tourist_visitors_arrival_and_expenditure	Tourism arrivals series type, ... footnote	tourism_arrivals_series_type, tourism_arrivals_series_type_footnote
syb68.317_seats_held_by_women_in_parliament	Last Election Date, ... footnote	last_election_date, last_election_date_footnote
syb68.330_major_trading_partners	Major trading partner 1 (% of exports), ... footnote	major_trading_partner_1_pct_of_exports, major_trading_partner_1_pct_of_exports_footnote
syb61.253_population_growth_rates_in_urban_areas_and_capital_cities	Capital City, ... footnote	capital_city, capital_city_footnote

Tables 130, 176 and 317 are not published (IMF, UN Tourism and IPU rows); they are listed because tables still describes them. The columns are text, as published: system_of_trade is a code (G, S), tourism_arrivals_series_type a code (TF, VF, TCE, ...), last_election_date a yyyy-mm string. In syb68.330_major_trading_partners the column holds the partner named by each row's series (partner 1, 2 or 3, of exports or imports), although its header names only the first.

The type comes from the column name, never from inference. Each value was checked with a regular expression before the cast ([0-9]+ for area_code, [0-9]{4} for year, -?([0-9]+|[0-9]{1,3}(,[0-9]{3})+)(\.[0-9]+)? for value), and a value that did not fit, or was empty, would have stopped the build; none did. value is written with thousands separators in the CSV ("1,030.5"); they were removed before the cast. An empty text cell is NULL. Rows keep the order of the CSV.

-- DuckDB, straight off the Hub: GDP and GDP per capita of Japan, SYB68
SELECT year, series, value, footnotes
FROM 'hf://datasets/yuiseki/un-statistical-yearbook/parquet/syb68/230_gdp_and_gdp_per_capita.parquet'
WHERE area_code = 392
ORDER BY series, year;

-- which agencies a table's values come from, and which are published
SELECT subset, agency, published, rows, reason
FROM 'hf://datasets/yuiseki/un-statistical-yearbook/parquet/sources.parquet'
ORDER BY subset, rows DESC;

Sources per table

The Source value of every row, counted per table, with the agency it was matched to and whether its rows are published. The text is as written in the CSV; the agency is named at its start.

subset	rows	agency	published	Source (as written in the CSV)
syb68.1_population_surface_area_and_density	4,252 (55%)	UN Population Division	yes	United Nations Population Division, New York, World Population Prospects: The 2024 Revision, last accessed June 2025.
syb68.1_population_surface_area_and_density	3,192 (41%)	UN Population Division	yes	United Nations Population Division, New York, World Population Prospects: The 2024 Revision; supplemented by data from the United Nations Statistics Division, New York, Demographic Yearbook 2023, last accessed June 2025.
syb68.1_population_surface_area_and_density	254 (3%)	UNSD	yes	United Nations Statistics Division, New York, "Demographic Yearbook 2023" and the demographic statistics database, last accessed June 2025.
syb68.1_population_surface_area_and_density	29 (0%)	UN Population Division	yes	United Nations Population Division, New York, World Population Prospects: The 2024 Revision - interim update for Togo, last accessed February 2026.
syb68.12_agricultural_index	3,564 (100%)	FAO	yes	Food and Agriculture Organization of the United Nations (FAO), Rome, FAOSTAT database, last accessed May 2025.
syb68.123_total_imports_exports_and_balance_of_trade	4,995 (100%)	UN Comtrade	yes	United Nations Statistics Division, New York, Commodity Trade Statistics Database (UN COMTRADE), last accessed June 2025.
syb68.125_balance_of_payments	3,305 (100%)	IMF	no	International Monetary Fund (IMF), Washington, D.C., Balance of Payment (BOP) Statistics database, last accessed June 2025.
syb68.128_consumer_price_index	2,045 (100%)	UNSD	yes	United Nations Statistics Division (UNSD), New York, Monthly Bulletin of Statistics (MBS), last accessed June 2025.
syb68.130_exchange_rates	3,516 (100%)	IMF	no	International Monetary Fund (IMF), Washington, D.C., the database on International Financial Statistics supplemented by operational rates of exchange for United Nations programmes, last accessed June 2025.
syb68.145_land	5,283 (84%)	FAO	yes	Food and Agriculture Organization of the United Nations (FAO), Rome, FAOSTAT data last accessed December 2024.
syb68.145_land	1,014 (16%)	UNEP-WCMC	no	United Nations Environment Programme (UNEP) World Conservation Monitoring Centre (WCMC) and World Conservation Union (IUCN) and BirdLife International, Cambridge, Sustainable Development Goals database, March 2025.
syb68.153_gross_value_added_by_economic_activity	4,432 (100%)	UNSD	yes	United Nations Statistics Division, New York, National Accounts Statistics: Analysis of Main Aggregates (AMA) database, last accessed April 2025.
syb68.154_health_personnel	6,260 (100%)	WHO	no	World Health Organisation (WHO), Geneva, WHO Global Health Workforce statistics database, last accessed April 2025.
syb68.176_tourist_visitors_arrival_and_expenditure	2,154 (100%)	UN Tourism	no	World Tourism Organization (UNWTO), Madrid, the UNWTO Statistics Database, last accessed December 2023.
syb68.200_employment	8,037 (100%)	ILO	yes	International Labour Organization (ILO), Geneva, Key Indicators of the Labour Market (KILM 9th edition) and the ILOSTAT database, last accessed April 2025.
syb68.223_net_disbursements_from_official_oda_from_donors	632 (100%)	OECD	yes	Organisation for Economic Co-operation and Development (OECD), Paris, the OECD Development Assistance Committee (DAC) database, last accessed July 2025.
syb68.226_net_disbursements_from_official_oda_to_recipients	5,199 (100%)	OECD	yes	Organisation for Economic Co-operation and Development (OECD), Paris, the OECD Development Assistance Committee (DAC) database, last accessed July 2025.
syb68.230_gdp_and_gdp_per_capita	6,768 (100%)	UNSD	yes	United Nations Statistics Division, New York, National Accounts Statistics: Analysis of Main Aggregates (AMA) database, last accessed April 2025.
syb68.245_public_expenditure_on_education_and_access_to_computers	2,365 (100%)	UIS	yes	United Nations Educational, Scientific and Cultural Organization (UNESCO), Montreal, the UNESCO Institute for Statistics (UIS) statistics database, last accessed April 2025.
syb68.246_population_growth_fertility_and_mortality_indicators	4,336 (61%)	UN Population Division	yes	United Nations Population Division, New York, World Population Prospects: The 2024 Revision; supplemented by data from the United Nations Statistics Division, New York, Demographic Yearbook 2023, last accessed June 2025.
syb68.246_population_growth_fertility_and_mortality_indicators	2,164 (30%)	UN Population Division	yes	United Nations Population Division, New York, World Population Prospects: The 2024 Revision, last accessed June 2025.
syb68.246_population_growth_fertility_and_mortality_indicators	657 (9%)	WHO	no	World Health Organization (WHO), the United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA), the World Bank and the United Nations Population Division, "Trends in Maternal Mortality 2000 - 2020."
syb68.246_population_growth_fertility_and_mortality_indicators	4 (0%)	UN Population Division	yes	United Nations Population Division, New York, World Population Prospects: The 2024 Revision - interim update, last accessed February 2026.
syb68.263_production_trade_and_supply_of_energy	8,700 (100%)	UNSD	yes	United Nations Statistics Division, New York, Energy Statistics Yearbook 2022, last accessed April 2025.
syb68.264_patents	1,973 (100%)	WIPO	no	World Intellectual Property Organization (WIPO), Geneva, WIPO statistics database, last accessed May 2025.
syb68.285_research_and_development_expenditure_and_staff	1,039 (100%)	UIS	yes	United Nations Educational, Scientific and Cultural Organization (UNESCO), Montreal, the UNESCO Institute for Statistics (UIS) statistics database, last accessed April 2025.
syb68.309_education	7,934 (100%)	UIS	yes	United Nations Educational, Scientific and Cultural Organization (UNESCO), Montreal, the UNESCO Institute for Statistics (UIS) statistics database, last accessed April 2025.
syb68.310_carbon_dioxide_emission_estimates	3,488 (100%)	UNSD	yes	United Nations Statistics Division, New York, Energy Statistics Section, last accessed Feb. 2025.
syb68.313_threatened_species	6,916 (100%)	IUCN	no	World Conservation Union (IUCN), Gland and Cambridge, IUCN Red List of Threatened Species publication, last accessed June 2025.
syb68.314_internet_usage	1,520 (100%)	ITU	no	International Telecommunication Union (ITU), Geneva, the ITU database, last accessed March 2025.
syb68.315_water_and_sanitation_services	3,519 (100%)	WHO	no	World Health Organization (WHO) and United Nations Children's Fund (UNICEF), Geneva and New York, the WHO/UNICEF Joint Monitoring Programme for the Water and Sanitation database, last accessed July 2025.
syb68.317_seats_held_by_women_in_parliament	1,952 (100%)	IPU	no	Inter-Parliamentary Union (IPU), Geneva, the database on "Women in National Parliament", last accessed March 2025.
syb68.319_ratio_of_girls_to_boys_in_education	3,347 (100%)	UIS	yes	United Nations Educational, Scientific and Cultural Organization (UNESCO), Montreal, the UNESCO Institute for Statistics (UIS) statistics database, last accessed April 2025.
syb68.323_teaching_staff_in_education	3,685 (100%)	UIS	yes	United Nations Educational, Scientific and Cultural Organization (UNESCO), Montreal, the UNESCO Institute for Statistics (UIS) statistics database, last accessed April 2025.
syb68.325_expenditure_on_health	2,292 (100%)	WHO	no	World Health Organization (WHO), Geneva, WHO Global Health Expenditure database, last accessed May 2025.
syb68.327_international_migrants_and_refugees	4,200 (60%)	UN Population Division	yes	United Nations Population Division, New York, International migrant stock: The 2024 Revision, last accessed April 2025.
syb68.327_international_migrants_and_refugees	2,766 (40%)	UNHCR	yes	United Nations High Commissioner for Refugees (UNHCR), Geneva, UNHCR Population Statistics Database, last accessed May 2025.
syb68.328_intentional_homicides_and_other_crimes	6,046 (100%)	UNODC	no	United Nations Office on Drugs and Crime (UNODC), Vienna, UNODC Statistics database, last accessed May 2025.
syb68.329_labour_force_and_unemployment	5,486 (100%)	ILO	yes	International Labour Organization (ILO), Geneva, Key Indicators of the Labour Market (KILM 9th edition) and the ILOSTAT database, last accessed April 2025.
syb68.330_major_trading_partners	3,541 (100%)	UN Comtrade	yes	United Nations Statistics Division, New York, Commodity Trade Statistics Database (UN COMTRADE), last accessed June 2025.
syb61.253_population_growth_rates_in_urban_areas_and_capital_cities	4,165 (100%)	UN Population Division	yes	United Nations Population Division, New York, World Urbanization Prospects: The 2018 Revision, last accessed May 2018.

Things to know

• area_code is the M49 code (392 Japan, 1 "Total, all countries or areas", 2 Africa, 199 least developed countries, 722 small island developing States), and the rows mix countries, areas and aggregates. Some aggregate names carry a mark from the source (LDC§); they are kept as published. 0 is "Total" in the donor table.
• series names the measure and its unit ("Percentage of individuals using the internet"); a table holds several series. Filter on it before comparing values.
• footnotes is filled in 43,395 of the 105,902 published rows. Read it: it says when a value is an estimate, covers a different population or period, or breaks the series.
• Years are not continuous. Most tables give selected years (for example 1995, 2005, 2010, 2015 and the two or three latest; table 330 only 2015, 2020 and 2024). Tables 200, 245, 285, 309, 323 and 329 have 15 to 25 distinct years, which differ from one area to the next. Use tables and a group by year before assuming a year is there.
• Values are those UNSD took from each source on the date the Source text states ("last accessed June 2025"). The source agency may have revised them since; for current figures go to the agency.
• The SYB61 table is from 2018 (World Urbanization Prospects 2018).
• The CSVs are Windows-1252, not UTF-8 or Latin-1 (curly quotes such as "Côte d’Ivoire"). The Parquet holds the text as UTF-8; the raw files are unchanged.

Checked before upload

scripts/02_verify.py in the source repository checks, with Python's csv module reading each CSV in Windows-1252 and DuckDB reading the Parquet:

• every raw file has the size and sha256 in its edition's MANIFEST.json
• every CSV decodes strictly, and every record has as many cells as its header (147,026 records in 33 files)
• every table's Parquet has as many rows as its CSV has records whose Source is published, and a table with none has no Parquet; the column names above in order, each of the type its name gives
• every cell equals the CSV's published records', row by row: text as text (empty as NULL), area_code and year as Python's int reads them, value as Python's float reads it once the thousands separators are removed
• tables gives each table's record count and published record count, and sources each table's Source counts as counted in the CSV, with the agency and decision the export's rule gives
• a DuckDB with extension autoloading turned off opens every file, and no row group has a bloom filter

Licence

UNdata, Terms and Conditions of use (https://data.un.org/Host.aspx?Content=UNdataUse, read on 2026-10-06):

Terms of Use

All data and metadata provided on UNdata’s website are available free of charge and may be copied freely, duplicated and further distributed provided that UNdata is cited as the reference.

Disclaimers

The data and metadata presented on UNdata are supplied as contained in the source database without any addition, subtraction, amendment, or modification by the United Nations Statistics Division.

Information about the quality or limitations of the data and metadata should be obtained from the organization responsible for the source database.

What this does and does not say:

• Copying and redistribution are allowed, on the condition that UNdata is cited.
• Commercial use is not mentioned: the terms neither allow nor forbid it.
• No licence name (such as CC BY) is given, and nothing is said about modification or derived works.
• The terms speak for UNdata's website as a whole, not table by table, and do not mention the rights of the agencies the values come from.

So each row is also read under the terms of the agency its source names, and published only when those terms allow redistribution, commercial use included. The agencies, read on 2026-10-06 (not legal advice):

agency	published	tables	rows	reason (terms read on 2026-10-06)
UNSD	yes	1, 128, 153, 230, 263, 310	25,687	UNSD's own data under the UNdata terms of use
UN Population Division	yes	1, 246, 253, 327	22,342	World Population and Urbanization Prospects are CC BY 3.0 IGO
UIS	yes	245, 285, 309, 319, 323	18,370	UIS data are CC BY-SA 4.0 (share-alike); https://databrowser.uis.unesco.org/terms-and-conditions
ILO	yes	200, 329	13,523	ILOSTAT is CC BY 4.0
FAO	yes	12, 145	8,847	FAOSTAT is CC BY 4.0
UN Comtrade	yes	123, 330	8,536	UN Comtrade lets a database of fewer than 100,000 records in total be re-disseminated, commercially too, without a distribution licence; https://uncomtrade.org/docs/faqs-on-use-and-re-dissemination/
OECD	yes	223, 226	5,831	OECD terms allow reuse, including commercial, with attribution
UNHCR	yes	327	2,766	UNHCR population statistics are CC BY 4.0
WHO	no	154, 246, 315, 325	12,728	WHO datasets are licensed for public health purposes only, and any other alteration needs WHO's prior written authorization; https://www.who.int/about/policies/publishing/data-policy/terms-and-conditions
IUCN	no	313	6,916	The IUCN Red List needs prior written permission for commercial use and for republishing or redistributing its data, derived works included; https://www.iucnredlist.org/terms/terms-of-use
IMF	no	125, 130	6,821	IMF data need permission for commercial reuse and for re-publishing a substantial amount; https://www.imf.org/en/about/copyright-and-terms
UNODC	no	328	6,046	The UNODC data portal points to the UN terms of use: personal, non-commercial use without any right to redistribute; https://www.un.org/en/about-us/copyright
UN Tourism	no	176	2,154	UN Tourism content is for personal, non-commercial use, without any right to redistribute it or create derivative works; https://www.untourism.int/copyright
WIPO	no	264	1,973	WIPO's statistics terms forbid republishing or commercially re-selling its statistical datasets; https://www.wipo.int/en/web/ip-statistics/about
IPU	no	317	1,952	IPU Parline data are CC BY-NC-SA 4.0 (non-commercial); https://www.ipu.org/terms-use
ITU	no	314	1,520	ITU content is for personal, educational or non-commercial use; distributing it or any commercial use needs ITU's prior written permission; https://www.itu.int/en/about/Pages/terms-of-use.aspx
UNEP-WCMC	no	145	1,014	The WDPA and the Key Biodiversity Areas data forbid commercial use of derived works, and KBA needs written permission to redistribute them; https://www.protectedplanet.net/en/legal https://www.keybiodiversityareas.org/termsofservice

Notes:

• UIS rows (education and R&D, tables 245, 285, 309, 319 and 323) are CC BY-SA 4.0: share-alike applies to those tables and what you derive from them.
• UN Comtrade's FAQ allows a database of fewer than 100,000 Comtrade records in total to be re-disseminated, commercially too, without a distribution licence. This dataset holds 8,536; the build stops if the published Comtrade rows ever reach 100,000.
• The World Population Prospects and World Urbanization Prospects are CC BY 3.0 IGO; FAOSTAT, ILOSTAT and UNHCR's statistics CC BY 4.0; the OECD's terms allow reuse with attribution. UNSD's own data are under the UNdata terms above.
• Rows of the agencies marked "no" are left out of the Parquet, and the CSVs of tables with any such row are not uploaded. sources keeps the Source text, agency, row count and reason for every one of them, so what was left out stays visible.

This dataset is not made or endorsed by the United Nations. What was changed: each CSV was decoded from Windows-1252, its title row moved to tables, its columns renamed and typed as above (thousands separators removed from value), the rows of the agencies above that are not published left out, and written as Parquet; no value was changed. The uploaded raw files are unchanged. LICENSE beside this file says the same.

Citation

As the terms require, cite UNdata, for example:

United Nations Statistics Division, UNdata, Statistical Yearbook tables (edition SYB68, 2025), https://data.un.org/, accessed 2026-10-06.

and, for the values of a table, the source named in its source column (for UIS rows, as CC BY-SA 4.0 asks: the UNESCO Institute for Statistics and the licence).