Datasets:

yuiseki
/

un-wpp

SortOrder int64 125 125	LocID int64 768 768	Notes stringclasses 0 values	ISO3_code stringclasses 1 value	ISO2_code stringclasses 1 value	SDMX_code stringclasses 1 value	LocTypeID int64 4 4	LocTypeName stringclasses 1 value	ParentID int64 914 914	Location stringclasses 1 value	VarID int64 2 2	Variant stringclasses 1 value	Time int64 1.95k 2.1k	MidPeriod float64 1.95k 2.1k	AgeGrp stringclasses 101 values	AgeGrpStart int64 0 100	AgeGrpSpan int64 -1 1	DeathMale float64 0 8.13	DeathFemale float64 0 6.68	DeathTotal float64 0 14.8
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	0	0	1	5.043	4.231	9.274
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	1	1	1	2.284	2.026	4.31
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	2	2	1	1.225	1.126	2.351
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	3	3	1	0.678	0.644	1.322
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	4	4	1	0.389	0.378	0.768
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	5	5	1	0.236	0.234	0.47
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	6	6	1	0.153	0.155	0.309
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	7	7	1	0.107	0.111	0.218
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	8	8	1	0.081	0.085	0.167
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	9	9	1	0.066	0.071	0.138
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	10	10	1	0.058	0.064	0.122
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	11	11	1	0.054	0.06	0.115
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	12	12	1	0.053	0.06	0.113
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	13	13	1	0.054	0.062	0.116
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	14	14	1	0.056	0.065	0.121
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	15	15	1	0.06	0.069	0.129
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	16	16	1	0.065	0.074	0.14
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	17	17	1	0.072	0.079	0.15
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	18	18	1	0.079	0.082	0.161
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	19	19	1	0.086	0.084	0.17
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	20	20	1	0.092	0.085	0.178
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	21	21	1	0.097	0.085	0.182
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	22	22	1	0.099	0.085	0.184
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	23	23	1	0.098	0.085	0.183
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	24	24	1	0.095	0.084	0.179
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	25	25	1	0.09	0.083	0.173
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	26	26	1	0.085	0.082	0.168
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	27	27	1	0.081	0.081	0.162
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	28	28	1	0.078	0.08	0.158
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	29	29	1	0.076	0.078	0.154
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	30	30	1	0.075	0.076	0.151
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	31	31	1	0.075	0.074	0.148
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	32	32	1	0.074	0.072	0.146
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	33	33	1	0.073	0.071	0.145
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	34	34	1	0.072	0.071	0.143
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	35	35	1	0.071	0.07	0.142
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	36	36	1	0.071	0.07	0.141
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	37	37	1	0.07	0.07	0.14
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	38	38	1	0.07	0.069	0.139
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	39	39	1	0.071	0.067	0.138
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	40	40	1	0.071	0.065	0.136
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	41	41	1	0.072	0.063	0.135
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	42	42	1	0.072	0.061	0.133
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	43	43	1	0.072	0.059	0.131
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	44	44	1	0.072	0.057	0.129
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	45	45	1	0.071	0.056	0.127
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	46	46	1	0.071	0.055	0.126
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	47	47	1	0.071	0.055	0.127
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	48	48	1	0.072	0.056	0.128
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	49	49	1	0.074	0.058	0.132
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	50	50	1	0.076	0.06	0.136
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	51	51	1	0.078	0.062	0.14
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	52	52	1	0.081	0.064	0.145
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	53	53	1	0.083	0.066	0.149
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	54	54	1	0.085	0.068	0.153
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	55	55	1	0.088	0.07	0.158
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	56	56	1	0.091	0.073	0.163
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	57	57	1	0.095	0.076	0.171
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	58	58	1	0.101	0.081	0.182
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	59	59	1	0.109	0.087	0.195
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	60	60	1	0.117	0.094	0.211
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	61	61	1	0.127	0.101	0.228
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	62	62	1	0.135	0.108	0.243
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	63	63	1	0.142	0.114	0.256
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	64	64	1	0.146	0.119	0.264
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	65	65	1	0.15	0.122	0.273
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	66	66	1	0.155	0.126	0.28
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	67	67	1	0.158	0.129	0.288
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	68	68	1	0.161	0.134	0.295
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	69	69	1	0.165	0.139	0.304
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	70	70	1	0.167	0.145	0.312
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	71	71	1	0.169	0.15	0.319
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	72	72	1	0.17	0.153	0.323
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	73	73	1	0.17	0.154	0.324
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	74	74	1	0.169	0.152	0.321
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	75	75	1	0.165	0.148	0.314
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	76	76	1	0.16	0.142	0.301
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	77	77	1	0.153	0.134	0.287
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	78	78	1	0.143	0.128	0.271
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	79	79	1	0.132	0.121	0.253
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	80	80	1	0.119	0.113	0.232
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	81	81	1	0.106	0.102	0.208
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	82	82	1	0.093	0.091	0.184
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	83	83	1	0.079	0.079	0.158
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	84	84	1	0.065	0.065	0.13
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	85	85	1	0.05	0.049	0.099
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	86	86	1	0.034	0.033	0.066
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	87	87	1	0.02	0.018	0.038
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	88	88	1	0.011	0.01	0.021
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	89	89	1	0.007	0.007	0.014
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	90	90	1	0.005	0.005	0.01
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	91	91	1	0.004	0.004	0.008
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	92	92	1	0.003	0.004	0.007
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	93	93	1	0.002	0.002	0.004
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	94	94	1	0.001	0.001	0.002
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	95	95	1	0	0	0
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	96	96	1	0	0	0.001
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	97	97	1	0	0	0
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	98	98	1	0	0	0
125	768	null	TGO	TG	768	4	Country/Area	914	Togo	2	Medium	1,950	1,950.5	99	99	1	0	0	0

End of preview. Expand in Data Studio

un-wpp

The CSV files of the United Nations World Population Prospects (WPP), Population Division, UN DESA: annual estimates from 1950 and projections to 2100 of population by age and sex, fertility, mortality, life tables and net migration, for countries and areas and for regional aggregates. Every revision of the CSV files from 1998 to 2024 is here as the UN serves it (raw/); the current release, WPP2024, is also in Parquet (200,840,623 rows in 53 tables).

Source: https://population.un.org/wpp/ (Downloads; the catalogue is https://population.un.org/wpp/assets/downloads.json). Reuse is under CC BY 3.0 IGO (see Licence).

Raw files

Every revision, as served and checked against its MANIFEST.json (URL, size, sha256, Last-Modified, fetch time):

path	size	group
`raw/wpp1998/`	10 MB	Archive / CSV files / 1998 Revision
`raw/wpp2000/`	14 MB	Archive / CSV files / 2000 Revision
`raw/wpp2002/`	13 MB	Archive / CSV files / 2002 Revision
`raw/wpp2004/`	49 MB	Archive / CSV files / 2004 Revision
`raw/wpp2006/`	49 MB	Archive / CSV files / 2006 Revision
`raw/wpp2008/`	49 MB	Archive / CSV files / 2008 Revision
`raw/wpp2010/`	106 MB	Archive / CSV files / 2010 Revision
`raw/wpp2012/`	125 MB	Archive / CSV files / 2012 Revision
`raw/wpp2015/`	125 MB	Archive / CSV files / 2015 Revision
`raw/wpp2017/`	134 MB	Archive / CSV files / 2017 Revision
`raw/wpp2019/`	271 MB	Archive / CSV files / 2019 Revision
`raw/wpp2022/`	3,522 MB	Archive / CSV files / 2022 Revision
`raw/wpp2024/`	4,040 MB	Standard Projections / CSV format

The release files are gzipped CSVs with a UTF-8 byte order mark; the archive revisions are zips of CSV or Excel-converted files whose layout changed from revision to revision. Only the Parquet of the current release is harmonised here; read the archive zips with the revision's own documentation.

Parquet subsets (current release)

One subset per CSV file: the config name is the directory and the file name joined with __. Columns are those of the CSV, in its order; rows are in file order.

subset	rows	columns	source file
`wpp2024-update-2026-01-19/deathsbysingleagesex_medium_update`	15,251	20	`WPP2024_DeathsBySingleAgeSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/demographic_indicators_medium_update`	151	67	`WPP2024_Demographic_Indicators_Medium_Update.csv`
`wpp2024-update-2026-01-19/fertility_by_age1_medium_update`	5,285	20	`WPP2024_Fertility_by_Age1_Medium_Update.csv`
`wpp2024-update-2026-01-19/fertility_by_age5_medium_update`	1,359	20	`WPP2024_Fertility_by_Age5_Medium_Update.csv`
`wpp2024-update-2026-01-19/population1januarybyage5groupsex_medium_update`	3,171	20	`WPP2024_Population1JanuaryByAge5GroupSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/population1januarybysingleagesex_medium_update`	15,251	20	`WPP2024_Population1JanuaryBySingleAgeSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/populationbyage5groupsex_medium_update`	3,171	20	`WPP2024_PopulationByAge5GroupSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/populationbysingleagesex_medium_update`	15,251	20	`WPP2024_PopulationBySingleAgeSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/populationexposurebyage5groupsex_medium_update`	3,171	20	`WPP2024_PopulationExposureByAge5GroupSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/populationexposurebysingleagesex_medium_update`	15,251	20	`WPP2024_PopulationExposureBySingleAgeSex_Medium_Update.csv`
`wpp2024-update-2026-01-19/totalpopulationbysex_medium_update`	151	18	`WPP2024_TotalPopulationBySex_Medium_Update.csv`
`wpp2024/deathsbysingleagesex_medium_1950_2023`	4,148,070	20	`WPP2024_DeathsBySingleAgeSex_Medium_1950-2023.csv.gz`
`wpp2024/deathsbysingleagesex_medium_2024_2100`	4,316,235	20	`WPP2024_DeathsBySingleAgeSex_Medium_2024-2100.csv.gz`
`wpp2024/demographic_indicators_medium`	84,360	67	`WPP2024_Demographic_Indicators_Medium.csv.gz`
`wpp2024/demographic_indicators_notes`	59	5	`WPP2024_Demographic_Indicators_notes.csv`
`wpp2024/demographic_indicators_othervariants`	662,919	67	`WPP2024_Demographic_Indicators_OtherVariants.csv.gz`
`wpp2024/fertility_by_age1`	25,207,350	20	`WPP2024_Fertility_by_Age1.csv.gz`
`wpp2024/fertility_by_age5`	6,481,890	20	`WPP2024_Fertility_by_Age5.csv.gz`
`wpp2024/life_table_abridged_medium_1950_2023`	2,710,620	29	`WPP2024_Life_Table_Abridged_Medium_1950-2023.csv.gz`
`wpp2024/life_table_abridged_medium_2024_2100`	2,820,510	29	`WPP2024_Life_Table_Abridged_Medium_2024-2100.csv.gz`
`wpp2024/life_table_complete_medium_both_1950_2023`	4,148,070	29	`WPP2024_Life_Table_Complete_Medium_Both_1950-2023.csv.gz`
`wpp2024/life_table_complete_medium_both_2024_2100`	4,316,235	29	`WPP2024_Life_Table_Complete_Medium_Both_2024-2100.csv.gz`
`wpp2024/life_table_complete_medium_female_1950_2023`	4,148,070	29	`WPP2024_Life_Table_Complete_Medium_Female_1950-2023.csv.gz`
`wpp2024/life_table_complete_medium_female_2024_2100`	4,316,235	29	`WPP2024_Life_Table_Complete_Medium_Female_2024-2100.csv.gz`
`wpp2024/life_table_complete_medium_male_1950_2023`	4,148,070	29	`WPP2024_Life_Table_Complete_Medium_Male_1950-2023.csv.gz`
`wpp2024/life_table_complete_medium_male_2024_2100`	4,316,235	29	`WPP2024_Life_Table_Complete_Medium_Male_2024-2100.csv.gz`
`wpp2024/locations_notes`	47	2	`WPP2024_Locations_notes.csv`
`wpp2024/population1januarybyage5groupsex_medium`	1,771,560	20	`WPP2024_Population1JanuaryByAge5GroupSex_Medium.csv.gz`
`wpp2024/population1januarybyage5groupsex_othervariants`	10,909,080	20	`WPP2024_Population1JanuaryByAge5GroupSex_OtherVariants.csv.gz`
`wpp2024/population1januarybysingleagesex_medium_1950_2023`	4,148,070	20	`WPP2024_Population1JanuaryBySingleAgeSex_Medium_1950-2023.csv.gz`
`wpp2024/population1januarybysingleagesex_medium_2024_2100`	4,372,290	20	`WPP2024_Population1JanuaryBySingleAgeSex_Medium_2024-2100.csv.gz`
`wpp2024/populationbyage5groupsex_medium`	1,759,905	20	`WPP2024_PopulationByAge5GroupSex_Medium.csv.gz`
`wpp2024/populationbyage5groupsex_othervariants`	13,364,505	20	`WPP2024_PopulationByAge5GroupSex_OtherVariants.csv.gz`
`wpp2024/populationbyage5groupsex_percentage_medium`	1,759,905	20	`WPP2024_PopulationByAge5GroupSex_Percentage_Medium.csv.gz`
`wpp2024/populationbyage5groupsex_percentage_othervariants`	13,364,505	20	`WPP2024_PopulationByAge5GroupSex_Percentage_OtherVariants.csv.gz`
`wpp2024/populationbysingleagesex_constant_fertility_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Constant fertility_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_constant_mortality_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Constant mortality_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_high_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_High_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_instant_replacement_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Instant replacement_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_instant_replacement_zero_migration_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Instant replacement zero migration_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_low_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Low_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_medium_1950_2023`	4,148,070	20	`WPP2024_PopulationBySingleAgeSex_Medium_1950-2023.csv.gz`
`wpp2024/populationbysingleagesex_medium_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Medium_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_medium_percentage_1950_2023`	4,148,070	20	`WPP2024_PopulationBySingleAgeSex_Medium_Percentage_1950-2023.csv.gz`
`wpp2024/populationbysingleagesex_medium_percentage_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Medium_Percentage_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_momentum_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Momentum_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_no_change_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_No change_2024-2100.csv.gz`
`wpp2024/populationbysingleagesex_zero_migration_2024_2100`	4,316,235	20	`WPP2024_PopulationBySingleAgeSex_Zero migration_2024-2100.csv.gz`
`wpp2024/populationexposurebyage5groupsex_medium`	1,759,905	20	`WPP2024_PopulationExposureByAge5GroupSex_Medium.csv.gz`
`wpp2024/populationexposurebyage5groupsex_othervariants`	10,769,220	20	`WPP2024_PopulationExposureByAge5GroupSex_OtherVariants.csv.gz`
`wpp2024/populationexposurebysingleagesex_medium_1950_2023`	4,148,070	20	`WPP2024_PopulationExposureBySingleAgeSex_Medium_1950-2023.csv.gz`
`wpp2024/populationexposurebysingleagesex_medium_2024_2100`	4,316,235	20	`WPP2024_PopulationExposureBySingleAgeSex_Medium_2024-2100.csv.gz`
`wpp2024/totalpopulationbysex`	720,210	18	`WPP2024_TotalPopulationBySex.csv.gz`
`files`	53	5	one row per subset: source file, rows, columns

Types come from the column names, not from inference: SortOrder, LocID, LocTypeID, ParentID, VarID, Time, AgeGrpStart, AgeGrpSpan and SexID are BIGINT; Notes, ISO3_code, ISO2_code, SDMX_code, LocTypeName, Location, Variant, AgeGrp and Sex are VARCHAR (ISO2_code NA is Namibia, not a missing value); every other column (MidPeriod, the measures) is DOUBLE. Each value of a typed column was checked against a regular expression before the cast, and one that did not fit would have stopped the build. An empty cell is NULL. One value is the text Inf in the source (a sex ratio with no males, Andorra, Lower 80 PI, 2100); it is stored as infinity. The two notes files are all text.

The life tables have both lx (survivors) and Lx (person-years lived); a column name that differs only in case cannot be told apart in DuckDB, so Lx is named Lx_person_years here (the raw files keep Lx).

Notes in a table is a letter that refers to locations_notes; Variant is the projection variant (Medium, High, Low, constant-fertility and other scenarios, and the 80 and 95 per cent prediction intervals in the OtherVariants tables). Units are in demographic_indicators_notes.

All 200,840,623 rows were compared with a second reader (the csv module on the raw file): every cell equals the CSV.

The interim update of 2026-01-19

The UN published an interim update after the release: more detailed results of Togo's 2022 census showed that the Population Division had adjusted the census counts a second time for undercount. The update holds revised population and vital-event counts for Togo (estimates 1950-2023 and medium projections 2024-2100) as *_Medium_Update.csv files that replace the Togo rows of the release's tables; fertility rates and the other variants are unchanged, as the UN's notice says. They are published unmerged: the subsets wpp2024-update-2026-01-19__* are these files as received, and the release's tables are as released. To have the current figures for Togo, replace the Togo rows (LocID 768) of the release's tables with them. The UN's notice is in raw/wpp2024/update-2026-01-19/MANIFEST.json.

Licence

The data are © United Nations, available under Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO, https://creativecommons.org/licenses/by/3.0/igo/). HF has no identifier for the IGO version, so the card says license: other. Suggested citation: United Nations, Department of Economic and Social Affairs, Population Division (2024). World Population Prospects 2024, Online Edition. Earlier revisions are cited with their own year. The Parquet files are a reformatting of the UN's CSV files; they are not endorsed by the United Nations.

Collection and conversion code: https://github.com/yuiseki/un-wpp (MIT).

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