World population totals and urban split by economy, 1960-2025

Commercial use OKFreshLicense: CC-BY-4.0

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Value-added panel of the World Bank's World Development Indicators (keyless API v2, CC BY 4.0): total population (SP.POP.TOTL) and urban population (SP.URB.TOTL) for ~215 economies, 1960-2025, with derived signals — urban share, rural headcount, 1-year and 10-year population growth, urban 1-year growth and the within-year population rank. The canonical population denominator for per-capita models plus the urbanization layer; joins on economy_code with the catalog's other World Bank panels.

Source: World Bank population totals + urban-split intelligence
Rows: 14,292
Columns: 14
Source cadence: Yearly
Last refreshed: Oct 4, 2026
Theme: demographics

Column	Type	Description
economy_code	string	ISO 3166-1 alpha-3 economy code (World Bank API field countryiso3code).
economy_name	string	Economy name as published by the World Bank API.
region	string	World Bank region (API field region.value).
income_group	string	World Bank income group (API field incomeLevel.value).
year	integer	Reference year (1960-2025; 2025 is the latest WDI vintage).
population_total	integer	Total population, all ages, both sexes (WDI indicator SP.POP.TOTL; de facto population, UN World Population Prospects). (unit: persons)
urban_population	integer	Urban population (WDI indicator SP.URB.TOTL; UN World Population Prospects; national statistical-office definitions of urban). (unit: persons)
urban_share_pct	float	Urban population as a share of total population (100 * urban / total). (unit: %)
rural_population	integer	Rural population (total minus urban). (unit: persons)
pop_growth_1y_pct	float	Year-over-year growth of total population, in percent; null for each economy's first year and across gaps. (unit: %)
pop_growth_10y_pct	float	Trailing 10-year growth of total population, in percent; null when the base year is absent. (unit: %)
urban_growth_1y_pct	float	Year-over-year growth of urban population, in percent; null for each economy's first year and across gaps. (unit: %)
pop_rank	integer	Rank of population_total within the year (1 = largest). (unit: rank)
row_hash	string	Deterministic 12-hex row identity hash (economy_code\|year).

First 10 sample rows — a preview, not the complete dataset.

economy_code	economy_name	region	income_group	year	population_total	urban_population	urban_share_pct	rural_population	pop_growth_1y_pct	pop_growth_10y_pct	urban_growth_1y_pct	pop_rank	row_hash
ABW	Aruba	Latin America & Caribbean	High income	1,960	54,922	32,417	59.024	22,505	—	—	—	191	82d7dbb3004e
ABW	Aruba	Latin America & Caribbean	High income	1,961	55,578	32,831	59.072	22,747	1.194	—	1.277	190	2861451dba3e
ABW	Aruba	Latin America & Caribbean	High income	1,962	56,320	33,348	59.212	22,972	1.335	—	1.575	190	0ff75b5d0c5d
ABW	Aruba	Latin America & Caribbean	High income	1,963	57,002	33,878	59.433	23,124	1.211	—	1.589	190	f6dcac872121
ABW	Aruba	Latin America & Caribbean	High income	1,964	57,619	34,412	59.723	23,207	1.082	—	1.576	190	c3dd8337dd1a
ABW	Aruba	Latin America & Caribbean	High income	1,965	58,190	34,958	60.076	23,232	0.991	—	1.587	191	9511b277e1aa
ABW	Aruba	Latin America & Caribbean	High income	1,966	58,694	35,498	60.48	23,196	0.866	—	1.545	191	a0951a4ed836
ABW	Aruba	Latin America & Caribbean	High income	1,967	58,990	35,939	60.924	23,051	0.504	—	1.242	191	589f4bb72296
ABW	Aruba	Latin America & Caribbean	High income	1,968	59,069	36,269	61.401	22,800	0.134	—	0.918	191	6e776bd38f5e
ABW	Aruba	Latin America & Caribbean	High income	1,969	59,052	36,554	61.901	22,498	-0.029	—	0.786	192	ca8d34b45651

Profiled Oct 4, 2026 from snapshot 20261004T002722Z-112b576804d8

Measured

Completeness: 98.7%
Rows: 14,292
Columns: 14
Columns with gaps: 3

Rows per yearyear · 1960–2025 · 66 years

19602025

Column	Missing	Distinct	Range	Distribution
economy_codevarchar	0%	262	—	ABW66 AFG66 AGO66
economy_namevarchar	0%	227	—	Afghanistan66 Albania66 Algeria66
regionvarchar	0%	6	—	Europe & Central Asia3,828 Sub-Saharan Africa 3,168 Latin America & Caribbean 2,772
income_groupvarchar	0%	4	—	High income5,676 Upper middle income3,894 Lower middle income3,072
yearbigint	0%	63	1,960 → 2,025median 1,993
population_totalbigint	0%	14,192	2,715 → 1,463,865,525median 4,278,257	286 outside 1st–99th percentile
urban_populationbigint	0%	14,185	692 → 933,170,560median 1,736,540	286 outside 1st–99th percentile
urban_share_pctdouble	0%	11,477	1.84 → 100median 51.92	143 outside 1st–99th percentile
rural_populationbigint	0%	15,256	0 → 941,424,277median 1,790,093	143 outside 1st–99th percentile
pop_growth_1y_pctdouble	1.5%	15,945	-24.02 → 24.23median 1.66	282 outside 1st–99th percentile
pop_growth_10y_pctdouble	15.2%	10,272	-33.26 → 305.82median 17.71	244 outside 1st–99th percentile
urban_growth_1y_pctdouble	1.5%	13,225	-76.04 → 54.88median 2.51	282 outside 1st–99th percentile
pop_rankbigint	0%	237	1 → 217median 109	234 outside 1st–99th percentile
row_hashvarchar	0%	11,679	—	000721ec42f81 00073eaee3e71 000c5684e6271

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/wb_population_intel/population_total_urban_panel" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_population_intel/population_total_urban_panel").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/wb_population_intel/population_total_urban_panel

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261004T002722Z-112b576804d8 and its content hash, so readers get exactly the data you used.

APA

World Bank population totals + urban-split intelligence. (2026). World population totals and urban split by economy, 1960-2025 [Data set, snapshot 20261004T002722Z-112b576804d8, sha256 112b576804d8]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/en/datasets/wb_population_intel/population_total_urban_panel?snapshot=20261004T002722Z-112b576804d8

BibTeX

@misc{dz_wb_population_intel_population_total_urb_112b5768,
  title        = {{World population totals and urban split by economy, 1960-2025}},
  author       = {{World Bank population totals + urban-split intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_population_intel/population_total_urban_panel?snapshot=20261004T002722Z-112b576804d8}},
  note         = {Snapshot 20261004T002722Z-112b576804d8, sha256 112b576804d82356688ab6174dc81c5d4ae622472199f370e737174f9f790464; accessed 2026-10-05}
}

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World population totals and urban split by economy, 1960-2025

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