World Population By Countries (2025)

Countries List Based on the Population

@kaggle.samithsachidanandan_world_population_by_countries_2025

Table List

1 table(21.61 KB)

Wolrd Population Data

@kaggle.samithsachidanandan_world_population_by_countries_2025.wolrd_population_data

21.61 KB
234 rows
12 columns

rank Rank	country Country	population_2024 Population (2024)	yearly_change Yearly Change	net_change Net Change	density_p_km Density (P/Km²)	land_area_km Land Area (Km²)	migrants_net Migrants (net)	fert_rate Fert. Rate	med_age Med. Age	urban_pop Urban Pop %	world_share World Share
1	India	1450935791	0.89 %	12866195	488	2973190	-630830	2	28	37 %	17.78 %
2	China	1419321278	-0.23 %	-3263655	151	9388211	-318992	1	40	66 %	17.39 %
3	United States	345426571	0.57 %	1949236	38	9147420	1286132	1.6	38	82 %	4.23 %
4	Indonesia	283487931	0.82 %	2297864	156	1811570	-38469	2.1	30	59 %	3.47 %
5	Pakistan	251269164	1.52 %	3764669	326	770880	-1401173	3.5	20	34 %	3.08 %
6	Nigeria	232679478	2.10 %	4796533	255	910770	-35202	4.4	18	54 %	2.85 %
7	Brazil	211998573	0.41 %	857844	25	8358140	-225510	1.6	34	91 %	2.60 %
8	Bangladesh	173562364	1.22 %	2095374	1333	130170	-473362	2.1	26	42 %	2.13 %
9	Russia	144820423	-0.43 %	-620077	9	16376870	-178042	1.5	40	75 %	1.77 %
10	Ethiopia	132059767	2.62 %	3368075	132	1000000	30069	3.9	19	22 %	1.62 %


CREATE TABLE wolrd_population_data (
  "rank" BIGINT,
  "country" VARCHAR,
  "population_2024" BIGINT,
  "yearly_change" VARCHAR,
  "net_change" BIGINT,
  "density_p_km" BIGINT,
  "land_area_km" BIGINT,
  "migrants_net" BIGINT,
  "fert_rate" DOUBLE,
  "med_age" BIGINT,
  "urban_pop" VARCHAR,
  "world_share" VARCHAR
);