Country population & other statistics

World Countries Population Dataset

All needed World Country Population & other demographic statistics with free direct download.

Dataset with country names and country ISO codes with population estimate for the year 2020, and other statistics about population like:

Yearly Population % Change, Yearly Population Net Change, Land Area in KM2, Population Density, Net Migrants, Fertility rate, Average Age, the Urban population in % and % share of the world population.

What data we offer
– country population for 2020
– 2-char ISO Country Code ensures best match
– format .xlsx and CSV
– .xlsx file consists sheet Main with notes about data
– optimized size
– ready to use for data analytics

This dataset is part of CDS World Countries Open Geo Dataset

Check https://coronadatasource.org/open-data/cds-world-countries-open-geo-dataset/

Enjoying the dataset?

If you find this dataset useful, feel free to share link to this page.
- https://coronadatasource.org/open-data/geo/country-population-other-statistics/
If you have idea for improving the dataset?
- Check How you can publish dataset on CDS 🙂

Created by CDS – CoronaDataSource specialists by cleaning open sources

Direct download

XLSX: https://data.coronadatasource.org/opendata/staticdata/CountryPopulationStatistics.xlsx

CSV: https://data.coronadatasource.org/opendata/staticdata/CountryPopulationStatistics.csv

Faster download via Torrent - Not Available

API

XLSX: https://data.coronadatasource.org/opendata/staticdata/CountryPopulationStatistics.xlsx

CSV: https://data.coronadatasource.org/opendata/staticdata/CountryPopulationStatistics.csv

How to use dataset

Dataset preview

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GUIDE HOW TO TREAT COUNTRY POPULATION DATASET

This dataset contains Population data from most of the world countries (230+ countries)

Recommendations

The best practice is to use 2char ISO Country Code to match country
2 char Country Code is unique. If Matching with Country name, 100% compliance is not guaranteed
Only 235 World Countries are in the dataset. Some small countries are missing. Use XX Others code for missing countries when connecting to the rest of CDS dataset.
Dataset Works well with Corona Data Source Country names & Codes (Perfect 2 char Country Code Match)
- https://coronadatasource.org/open-data/geo-data/country-names-codes-all-countries/
This dataset is part of CDS World Countries Open Geo Dataset. You may find useful also other parts of this broader Geo dataset
- https://coronadatasource.org/open-data/cds-world-countries-open-geo-dataset/

Dataset contains fields:

Name of column	type of field	Description
Internal_Row_ID	whole number	unique row ID num.
Country	text	common country name
2char country code	text	2 char country ISO code (unique)
Population	whole number	official population (2020 estimate)
Yearly Change	percent
Net Change	whole number
Density (P/Km2)	whole number
Land Area (Km2)	whole number
Migrants (net)	whole number
Fert. Rate	decimal
Medium Age	whole number
Urban Pop %	percent
World Share	percent

Exceptions in database

Type of exception	Note
Only 235 countries in the dataset	In the dataset are most of the world countries. Some small countries are missing. If needed, use XX Others code for missing countries
Channel Islands with no official ISO	(#190) Channel Islands has separate statistic, do not have ISO code, and consists of 2 states Jersey (JE) and Guernsey (GG), both belong unofficially as under The United Kingdom (#21 GB). Due to reasons to avoid duplicate ISO 2Char Country codes we give (#190) Channel Islands country code GBX
Null (Blank) values in Columns	Columns Migrants (net), Fert. Rate, Medium Age sometimes have null values (records #200+)
# Others Value XX	(#236) Value is Others with country code XX. This code is usable for places outside official countries
# Undefined Value XY	(#237) Value is # Undefined with the country code XY. This code is usable for errors
Null values in Others & #Undefined	Due to the missing data of some countries, there may be blanks except for Country, Country Code & Internal_Row_ID

Source:
CoronaDataSource.org
https://coronadatasource.org/open-data/geo/country-population-other-statistics/

License
Unlicensed and free to use

Data optimized and cleaned by CDS specialists from open sources
CoronaDataSource.org

Original data source
https://www.worldometers.info/world-population/population-by-country/

DATASET PREVIEW TABLE

Download dataset

Internal_Row_ID	Country	2char country code	Population	Yearly Change	Net Change	Density (P/Km2)	Land Area (Km2)	Migrants (net)	Fertility Rate	Medium Age	Urban Pop %	World Share
1	China	CN	1 439 323 776	0,39%	5 540 090	153	9 388 211	-348 399	1,70	38	61%	18,47%
2	India	IN	1 380 004 385	0,99%	13 586 631	464	2 973 190	-532 687	2,20	28	35%	17,70%
3	USA	US	331 002 651	0,59%	1 937 734	36	9 147 420	954 806	1,80	38	83%	4,25%
4	Indonesia	ID	273 523 615	1,07%	2 898 047	151	1 811 570	-98 955	2,30	30	56%	3,51%
5	Pakistan	PK	220 892 340	2,00%	4 327 022	287	77 088	-233 379	3,60	23	35%	2,83%
6	Brazil	BR	212 559 417	0,72%	1 509 890	25	8 358 140	212	1,70	33	88%	2,73%
7	Nigeria	NG	206 139 589	2,58%	5 175 990	226	91 077	-60	5,40	18	52%	2,64%
8	Bangladesh	BD	164 689 383	1,01%	1 643 222	1265	13 017	-369 501	2,10	28	39%	2,11%
9	Russia	RU	145 934 462	0,04%	62 206	9	16 376 870	182 456	1,80	40	74%	1,87%
10	Mexico	MX	128 932 753	1,06%	1 357 224	66	1 943 950	-60	2,10	29	84%	1,65%
11	Japan	JP	126 476 461	-0,30%	-38 384	347	364 555	7 156	1,40	48	92%	1,62%
12	Ethiopia	ET	114 963 588	2,57%	2 884 858	115	1 000 000	30	4,30	19	21%	1,47%
13	Philippines	PH	109 581 078	1,35%	1 464 463	368	29 817	-67 152	2,60	26	47%	1,41%
14	Egypt	EG	102 334 404	1,94%	1 946 331	103	99 545	-38 033	3,30	25	43%	1,31%
15	Vietnam	VN	97 338 579	0,91%	876 473	314	31 007	-80	2,10	32	38%	1,25%
16	Congo Brazzaville	CG	89 561 403	3,19%	2 770 836	40	2 267 050	23 861	6,00	17	46%	1,15%
17	Turkey	TR	84 339 067	1,09%	909 452	110	76 963	283 922	2,10	32	76%	1,08%
18	Iran	IR	83 992 949	1,30%	1 079 043	52	1 628 550	-55	2,20	32	76%	1,08%
19	Germany	DE	83 783 942	0,32%	266 897	240	34 856	543 822	1,60	46	76%	1,07%
20	Thailand	TH	69 799 978	0,25%	174 396	137	51 089	19 444	1,50	40	51%	0,90%
21	United Kingdom	GB	67 886 011	0,53%	355 839	281	24 193	26 065	1,80	40	83%	0,87%
22	France	FR	65 273 511	0,22%	143 783	119	547 557	36 527	1,90	42	82%	0,84%
23	Italy	IT	60 461 826	-0,15%	-88 249	206	29 414	148 943	1,30	47	69%	0,78%
24	Tanzania	TZ	59 734 218	2,98%	1 728 755	67	8 858	-40 076	4,90	18	37%	0,77%
25	South Africa	ZA	59 308 690	1,28%	75 042	49	1 213 090	145 405	2,40	28	67%	0,76%
26	Myanmar	MM	54 409 800	0,67%	36 438	83	65 329	-163 313	2,20	29	31%	0,70%
27	Kenya	KE	53 771 296	2,28%	1 197 323	94	56 914	-10	3,50	20	28%	0,69%
28	South Korea	KR	51 269 185	0,09%	43 877	527	9 723	11 731	1,10	44	82%	0,66%
29	Colombia	CO	50 882 891	1,08%	543 448	46	1 109 500	204 796	1,80	31	80%	0,65%
30	Spain	ES	46 754 778	0,04%	18 002	94	4 988	40	1,30	45	80%	0,60%
31	Uganda	UG	45 741 007	3,32%	1 471 413	229	19 981	168 694	5,00	17	26%	0,59%
32	Argentina	AR	45 195 774	0,93%	415 097	17	2 736 690	48	2,30	32	93%	0,58%
33	Algeria	DZ	43 851 044	1,85%	79 799	18	2 381 740	-10	3,10	29	73%	0,56%
34	Sudan	SD	43 849 260	2,42%	1 036 022	25	1 765 048	-50	4,40	20	35%	0,56%
35	Ukraine	UA	43 733 762	-0,59%	-259 876	75	57 932	10	1,40	41	69%	0,56%
36	Iraq	IQ	40 222 493	2,32%	91 271	93	43 432	7 834	3,70	21	73%	0,52%
37	Afghanistan	AF	38 928 346	2,33%	886 592	60	65 286	-6 292	4,60	18	25%	0,50%
38	Poland	PL	37 846 611	-0,11%	-41 157	124	30 623	-29 395	1,40	42	60%	0,49%
39	Canada	CA	37 742 154	0,89%	331 107	4	9 093 510	242 032	1,50	41	81%	0,48%
40	Morocco	MA	36 910 560	1,20%	438 791	83	4 463	-51 419	2,40	30	64%	0,47%
41	Saudi Arabia	SA	34 813 871	1,59%	545 343	16	2 149 690	134 979	2,30	32	84%	0,45%
42	Uzbekistan	UZ	33 469 203	1,48%	487 487	79	4 254	-8 863	2,40	28	50%	0,43%
43	Peru	PE	32 971 854	1,42%	461 401	26	1 280 000	99 069	2,30	31	79%	0,42%
44	Angola	AO	32 866 272	3,27%	1 040 977	26	1 246 700	6 413	5,60	17	67%	0,42%
45	Malaysia	MY	32 365 999	1,30%	416 222	99	32 855	50	2,00	30	78%	0,42%
46	Mozambique	MZ	31 255 435	2,93%	889 399	40	78 638	-5	4,90	18	38%	0,40%
47	Ghana	GH	31 072 940	2,15%	655 084	137	22 754	-10	3,90	22	57%	0,40%
48	Yemen	YE	29 825 964	2,28%	664 042	56	52 797	-30	3,80	20	38%	0,38%
49	Nepal	NP	29 136 808	1,85%	528 098	203	14 335	4 171	1,90	25	21%	0,37%
50	Venezuela	VE	28 435 940	-0,28%	-79 889	32	88 205	-653 249	2,30	30		0,36%
51	Madagascar	MG	27 691 018	2,68%	721 711	48	581 795	-15	4,10	20	39%	0,36%
52	Cameroon	CM	26 545 863	2,59%	669 483	56	47 271	-48	4,60	19	56%	0,34%
53	Cote d’Ivoire	CI	26 378 274	2,57%	66 173	83	318	-8	4,70	19	51%	0,34%
54	North Korea	KP	25 778 816	0,44%	112 655	214	12 041	-5 403	1,90	35	63%	0,33%
55	Australia	AU	25 499 884	1,18%	296 686	3	7 682 300	158 246	1,80	38	86%	0,33%
56	Niger	NE	24 206 644	3,84%	895 929	19	1 266 700	4	7,00	15	17%	0,31%
57	Taiwan	TW	23 816 775	0,18%	42 899	673	3 541	30 001	1,20	42	79%	0,31%
58	Sri Lanka	LK	21 413 249	0,42%	89 516	341	6 271	-97 986	2,20	34	18%	0,27%
59	Burkina Faso	BF	20 903 273	2,86%	581 895	76	2 736	-25	5,20	18	31%	0,27%
60	Mali	ML	20 250 833	3,02%	592 802	17	1 220 190	-40	5,90	16	44%	0,26%
61	Romania	RO	19 237 691	-0,66%	-126 866	84	23 017	-73 999	1,60	43	55%	0,25%
62	Malawi	MW	19 129 952	2,69%	501 205	203	9 428	-16 053	4,30	18	18%	0,25%
63	Chile	CL	19 116 201	0,87%	164 163	26	743 532	111 708	1,70	35	85%	0,25%
64	Kazakhstan	KZ	18 776 707	1,21%	22 528	7	2 699 700	-18	2,80	31	58%	0,24%
65	Zambia	ZM	18 383 955	2,93%	522 925	25	74 339	-8	4,70	18	45%	0,24%
66	Guatemala	GT	17 915 568	1,90%	334 096	167	10 716	-9 215	2,90	23	52%	0,23%
67	Ecuador	EC	17 643 054	1,55%	269 392	71	24 836	364	2,40	28	63%	0,23%
68	Syria	SY	17 500 658	2,52%	430 523	95	18 363	-427 391	2,80	26	60%	0,22%
69	Netherlands	NL	17 134 872	0,22%	37 742	508	3 372	16	1,70	43	92%	0,22%
70	Senegal	SN	16 743 927	2,75%	447 563	87	19 253	-20	4,70	19	49%	0,21%
71	Cambodia	KH	16 718 965	1,41%	232 423	95	17 652	-30	2,50	26	24%	0,21%
72	Chad	TD	16 425 864	3,00%	478 988	13	1 259 200	2	5,80	17	23%	0,21%
73	Somalia	SO	15 893 222	2,92%	450 317	25	62 734	-40	6,10	17	47%	0,20%
74	Zimbabwe	ZW	14 862 924	1,48%	217 456	38	38 685	-116 858	3,60	19	38%	0,19%
75	Guinea	GN	13 132 795	2,83%	361 549	53	24 572	-4	4,70	18	39%	0,17%
76	Rwanda	RW	12 952 218	2,58%	325 268	525	2 467	-9	4,10	20	18%	0,17%
77	Benin	BJ	12 123 200	2,73%	322 049	108	11 276	-2	4,90	19	48%	0,16%
78	Burundi	BI	11 890 784	3,12%	360 204	463	2 568	2 001	5,50	17	14%	0,15%
79	Tunisia	TN	11 818 619	1,06%	1 239	76	15 536	-4	2,20	33	70%	0,15%
80	Bolivia	BO	11 673 021	1,39%	159 921	11	1 083 300	-9 504	2,80	26	69%	0,15%
81	Belgium	BE	11 589 623	0,44%	50 295	383	3 028	48	1,70	42	98%	0,15%
82	Haiti	HT	11 402 528	1,24%	139 451	414	2 756	-35	3,00	24	57%	0,15%
83	Cuba	CU	11 326 616	-0,06%	-6 867	106	10 644	-144	1,60	42	78%	0,15%
84	South Sudan	SS	11 193 725	1,19%	131 612	18	610 952	-1 742	4,70	19	25%	0,14%
85	Dominican Republic	DO	10 847 910	1,01%	108 952	225	4 832	-30	2,40	28	85%	0,14%
86	Czechia	CZ	10 708 981	0,18%	19 772	139	7 724	22 011	1,60	43	74%	0,14%
87	Greece	GR	10 423 054	-0,48%	-50 401	81	1 289	-16	1,30	46	85%	0,13%
88	Jordan	JO	10 203 134	1,00%	10 144	115	8 878	1 022	2,80	24	91%	0,13%
89	Portugal	PT	10 196 709	-0,29%	-29 478	111	9 159	-6	1,30	46	66%	0,13%
90	Azerbaijan	AZ	10 139 177	0,91%	91 459	123	82 658	12	2,10	32	56%	0,13%
91	Sweden	SE	10 099 265	0,63%	62 886	25	41 034	40	1,90	41	88%	0,13%
92	Honduras	HN	9 904 607	1,63%	15 849	89	11 189	-68	2,50	24	57%	0,13%
93	United Arab Emirates	AE	9 890 402	1,23%	119 873	118	836	40	1,40	33	86%	0,13%
94	Hungary	HU	9 660 351	-0,25%	-24 328	107	9 053	6	1,50	43	72%	0,12%
95	Tajikistan	TJ	9 537 645	2,32%	216 627	68	13 996	-20	3,60	22	27%	0,12%
96	Belarus	BY	9 449 323	-0,03%	-3 088	47	20 291	873	1,70	40	79%	0,12%
97	Austria	AT	9 006 398	0,57%	51 296	109	82 409	65	1,50	43	57%	0,12%
98	Papua New Guinea	PG	8 947 024	1,95%	170 915	20	45 286	-800	3,60	22	13%	0,11%
99	Serbia	RS	8 737 371	-0,40%	-34 864	100	8 746	4	1,50	42	56%	0,11%
100	Israel	IL	8 655 535	1,60%	136 158	400	2 164	10	3,00	30	93%	0,11%
101	Switzerland	CH	8 654 622	0,74%	63 257	219	39 516	52	1,50	43	74%	0,11%
102	Togo	TG	8 278 724	2,43%	196 358	152	5 439	-2	4,40	19	43%	0,11%
103	Sierra Leone	SL	7 976 983	2,10%	163 768	111	7 218	-42	4,30	19	43%	0,10%
104	Hong Kong	HK	7 496 981	0,82%	60 827	714	105	29 308	1,30	45		0,10%
105	Laos	LA	7 275 560	1,48%	106 105	32	2 308	-14 704	2,70	24	36%	0,09%
106	Paraguay	PY	7 132 538	1,25%	87 902	18	3 973	-16 556	2,40	26	62%	0,09%
107	Bulgaria	BG	6 948 445	-0,74%	-51 674	64	10 856	-48	1,60	45	76%	0,09%
108	Libya	LY	6 871 292	1,38%	9 384	4	1 759 540	-1 999	2,30	29	78%	0,09%
109	Lebanon	LB	6 825 445	-0,44%	-30 268	667	1 023	-30 012	2,10	30	78%	0,09%
110	Nicaragua	NI	6 624 554	1,21%	79 052	55	12 034	-21 272	2,40	26	57%	0,08%
111	Kyrgyzstan	KG	6 524 195	1,69%	108 345	34	1 918	-4	3,00	26	36%	0,08%
112	El Salvador	SV	6 486 205	0,51%	32 652	313	2 072	-40 539	2,10	28	73%	0,08%
113	Turkmenistan	TM	6 031 200	1,50%	89 111	13	46 993	-5	2,80	27	53%	0,08%
114	Singapore	SG	5 850 342	0,79%	46 005	8358	700	27 028	1,20	42		0,08%
115	Denmark	DK	5 792 202	0,35%	20 326	137	4 243	152	1,80	42	88%	0,07%
116	Finland	FI	5 540 720	0,15%	8 564	18	30 389	14	1,50	43	86%	0,07%
117	Congo Kinshasa	CD	5 518 087	2,56%	137 579	16	3 415	-4	4,50	19	70%	0,07%
118	Slovakia	SK	5 459 642	0,05%	2 629	114	48 088	1 485	1,50	41	54%	0,07%
119	Norway	NO	5 421 241	0,79%	42 384	15	365 268	28	1,70	40	83%	0,07%
120	Oman	OM	5 106 626	2,65%	13 164	16	3 095	874	2,90	31	87%	0,07%
121	Palestine	PS	5 101 414	2,41%	119 994	847	602	-10 563	3,70	21	80%	0,07%
122	Costa Rica	CR	5 094 118	0,92%	46 557	100	5 106	42	1,80	33	80%	0,07%
123	Liberia	LR	5 057 681	2,44%	120 307	53	9 632	-5	4,40	19	53%	0,06%
124	Ireland	IE	4 937 786	1,13%	55 291	72	6 889	23 604	1,80	38	63%	0,06%
125	Central African Republic	CF	4 829 767	1,78%	84 582	8	62 298	-40	4,80	18	43%	0,06%
126	New Zealand	NZ	4 822 233	0,82%	3 917	18	26 331	14 881	1,90	38	87%	0,06%
127	Mauritania	MR	4 649 658	2,74%	123 962	5	1 030 700	5	4,60	20	57%	0,06%
128	Panama	PA	4 314 767	1,61%	68 328	58	7 434	112	2,50	30	68%	0,06%
129	Kuwait	KW	4 270 571	1,51%	63 488	240	1 782	3 952	2,10	37		0,05%
130	Croatia	HR	4 105 267	-0,61%	-25 037	73	5 596	-8 001	1,40	44	58%	0,05%
131	Moldova	MD	4 033 963	-0,23%	-93	123	3 285	-1 387	1,30	38	43%	0,05%
132	Georgia	GE	3 989 167	-0,19%	-7 598	57	6 949	-10	2,10	38	58%	0,05%
133	Eritrea	ER	3 546 421	1,41%	49 304	35	101	-39 858	4,10	19	63%	0,05%
134	Uruguay	UY	3 473 730	0,35%	11 996	20	17 502	-3	2,00	36	96%	0,04%
135	Bosnia and Herzegovina	BA	3 280 819	-0,61%	-20 181	64	51	-21 585	1,30	43	52%	0,04%
136	Mongolia	MN	3 278 290	1,65%	53 123	2	1 553 560	-852	2,90	28	67%	0,04%
137	Armenia	AM	2 963 243	0,19%	5 512	104	2 847	-4 998	1,80	35	63%	0,04%
138	Jamaica	JM	2 961 167	0,44%	12 888	273	1 083	-11 332	2,00	31	55%	0,04%
139	Qatar	QA	2 881 053	1,73%	48 986	248	1 161	40	1,90	32	96%	0,04%
140	Albania	AL	2 877 797	-0,11%	-312	105	274	-14	1,60	36	63%	0,04%
141	Puerto Rico	PR	2 860 853	-2,47%	-72 555	323	887	-97 986	1,20	44		0,04%
142	Lithuania	LT	2 722 289	-1,35%	-37 338	43	62 674	-3 278	1,70	45	71%	0,03%
143	Namibia	NA	2 540 905	1,86%	46 375	3	82 329	-4 806	3,40	22	55%	0,03%
144	Gambia	GM	2 416 668	2,94%	68 962	239	1 012	-3 087	5,30	18	59%	0,03%
145	Botswana	BW	2 351 627	2,08%	4 793	4	56 673	3	2,90	24	73%	0,03%
146	Gabon	GA	2 225 734	2,45%	53 155	9	25 767	326	4,00	23	87%	0,03%
147	Lesotho	LS	2 142 249	0,80%	16 981	71	3 036	-10 047	3,20	24	31%	0,03%
148	North Macedonia	MK	2 083 374	0,00%	-85	83	2 522	-1	1,50	39	59%	0,03%
149	Slovenia	SI	2 078 938	0,01%	284	103	2 014	2	1,60	45	55%	0,03%
150	Guinea Bissau	GW	1 968 001	2,45%	47 079	70	2 812	-1 399	4,50	19	45%	0,03%
151	Latvia	LV	1 886 198	-1,08%	-20 545	30	622	-14 837	1,70	44	69%	0,02%
152	Bahrain	BH	1 701 575	3,68%	60 403	2239	760	478	2,00	32	89%	0,02%
153	Equatorial Guinea	GQ	1 402 985	3,47%	46 999	50	2 805	16	4,60	22	73%	0,02%
154	Trinidad and Tobago	TT	1 399 488	0,32%	4 515	273	513	-800	1,70	36	52%	0,02%
155	Estonia	EE	1 326 535	0,07%	887	31	4 239	3 911	1,60	42	68%	0,02%
156	Timor Leste	TL	1 318 445	1,96%	25 326	89	1 487	-5 385	4,10	21	33%	0,02%
157	Mauritius	MU	1 271 768	0,17%	21	626	203	0	1,40	37	41%	0,02%
158	Cyprus	CY	1 207 359	0,73%	8 784	131	924	5	1,30	37	67%	0,02%
159	Eswatini	SZ	1 160 164	1,05%	12 034	67	172	-8 353	3,00	21	30%	0,01%
160	Djibouti	DJ	988	1,48%	1 444	43	2 318	900	2,80	27	79%	0,01%
161	Fiji	FJ	896 445	0,73%	6 492	49	1 827	-6 202	2,80	28	59%	0,01%
162	Reunion	RE	895 312	0,72%	6 385	358	25	-1 256	2,30	36	100%	0,01%
163	Comoros	KM	869 601	2,20%	18 715	467	1 861	-2	4,20	20	29%	0,01%
164	Guyana	GY	786 552	0,48%	3 786	4	19 685	-6	2,50	27	27%	0,01%
165	Bhutan	BT	771 608	1,12%	8 516	20	38 117	320	2,00	28	46%	0,01%
166	Solomon Islands	SB	686 884	2,55%	17 061	25	2 799	-16	4,40	20	23%	0,01%
167	Macao	MO	649 335	1,39%	889	21645	30	5	1,20	39		0,01%
168	Montenegro	ME	628 066	0,01%	79	47	1 345	-480	1,80	39	68%	0,01%
169	Luxembourg	LU	625 978	1,66%	10 249	242	259	9 741	1,50	40	88%	0,01%
170	Western Sahara	EH	597 339	2,55%	14 876	2	266	5 582	2,40	28	87%	0,01%
171	Suriname	SR	586 632	0,90%	526	4	156	-1	2,40	29	65%	0,01%
172	Cabo Verde	CV	555 987	1,10%	6 052	138	403	-1 342	2,30	28	68%	0,01%
173	Maldives	MV	540 544	1,81%	9 591	1802	300	1 137	1,90	30	35%	0,01%
174	Malta	MT	441 543	0,27%	1 171	138	320	900	1,50	43	93%	0,01%
175	Brunei	BN	437 479	0,97%	4 194	83	527	0	1,80	32	80%	0,01%
176	Guadeloupe	GP	400 124	0,02%	68	237	169	-144	2,20	44		0,01%
177	Belize	BZ	397 628	1,86%	7 275	17	2 281	12	2,30	25	46%	0,01%
178	Bahamas	BS	393 244	0,97%	3 762	39	1 001	1	1,80	32	86%	0,01%
179	Martinique	MQ	375 265	-0,08%	-289	354	106	-960	1,90	47	92%	0,00%
180	Iceland	IS	341 243	0,65%	2 212	3	10 025	380	1,80	37	94%	0,00%
181	Vanuatu	VU	307 145	2,42%	7 263	25	1 219	120	3,80	21	24%	0,00%
182	French Guiana	GF	298 682	2,70%	785	4	822	12	3,40	25	87%	0,00%
183	Barbados	BB	287 375	0,12%	350	668	430	-79	1,60	40	31%	0,00%
184	New Caledonia	NC	285 498	0,97%	2 748	16	1 828	502	2,00	34	72%	0,00%
185	French Polynesia	PF	280 908	0,58%	1 621	77	366	-1	2,00	34	64%	0,00%
186	Mayotte	YT	272 815	2,50%	6 665	728	375	0	3,70	20	46%	0,00%
187	Sao Tome and Principe	ST	219 159	1,91%	4 103	228	960	-168	4,40	19	74%	0,00%
188	Samoa	WS	198 414	0,67%	1 317	70	283	-2 803	3,90	22	18%	0,00%
189	Saint Lucia	LC	183 627	0,46%	837	301	610	0	1,40	34	19%	0,00%
190	Channel Islands	GBX	173 863	0,93%	1 604	915	190	1 351	1,50	43	30%	0,00%
191	Guam	GU	168 775	0,89%	1 481	313	540	-506	2,30	31	95%	0,00%
192	Curacao	CW	164 093	0,41%	669	370	444	515	1,80	42	89%	0,00%
193	Kiribati	KI	119 449	1,57%	1 843	147	810	-800	3,60	23	57%	0,00%
194	Micronesia	FM	115 023	1,06%	1 208	164	700	-600	3,10	24	21%	0,00%
195	Grenada	GD	112 523	0,46%	520	331	340	-200	2,10	32	35%	0,00%
196	Saint Vincent and the Grenadines	VC	11 094	0,32%	351	284	390	-200	1,90	33	53%	0,00%
197	Aruba	AW	106 766	0,43%	452	593	180	201	1,90	41	44%	0,00%
198	Tonga	TO	105 695	1,15%	1 201	147	720	-800	3,60	22	24%	0,00%
199	Virgin Islands	VI	104 425	-0,15%	-153	298	350	-451	2,00	43	96%	0,00%
200	Seychelles	SC	98 347	0,62%	608	214	460	-200	2,50	34	56%	0,00%
201	Antigua and Barbuda	AG	97 929	0,84%	811	223	440	0	2,00	34	26%	0,00%
202	Isle of Man	IM	85 033	0,53%	449	149	570				53%	0,00%
203	Andorra	AD	77 265	0,16%	123	164	470				88%	0,00%
204	Dominica	DM	71 986	0,25%	178	96	750				74%	0,00%
205	Cayman Islands	KY	65 722	1,19%	774	274	240				97%	0,00%
206	Bermuda	BM	62 278	-0,36%	-228	1246	50				97%	0,00%
207	Marshall Islands	MH	5 919	0,68%	399	329	180				70%	0,00%
208	Northern Mariana Islands	MP	57 559	0,60%	343	125	460				88%	0,00%
209	Greenland	GL	5 677	0,17%	98	0	41 045				87%	0,00%
210	American Samoa	AS	55 191	-0,22%	-121	276	200				88%	0,00%
211	Saint Kitts and Nevis	KN	53 199	0,71%	376	205	260				33%	0,00%
212	Faroe Islands	FO	48 863	0,38%	185	35	1 396				43%	0,00%
213	Sint Maarten	SX	42 876	1,15%	488	1261	34				96%	0,00%
214	Monaco	MC	39 242	0,71%	278	26337	1					0,00%
215	Turks and Caicos Islands	TC	38 717	1,38%	526	41	950				89%	0,00%
216	Saint Martin	MF	38 666	1,75%	664	730	53				0%	0,00%
217	Liechtenstein	LI	38 128	0,29%	109	238	160				15%	0,00%
218	San Marino	SM	33 931	0,21%	71	566	60				97%	0,00%
219	Gibraltar	GI	33 691	-0,03%	-10	3369	10					0,00%
220	Virgin Islands	VG	30 231	0,67%	201	202	150				52%	0,00%
221	Bonaire	BQ	26 223	0,94%	244	80	328				75%	0,00%
222	Palau	PW	18 094	0,48%	86	39	460					0,00%
223	Cook Islands	CK	17 564	0,09%	16	73	240				75%	0,00%
224	Anguilla	AI	15 003	0,90%	134	167	90					0,00%
225	Tuvalu	TV	11 792	1,25%	146	393	30				62%	0,00%
226	Wallis and Futuna	WF	11 239	-1,69%	-193	80	140				0%	0,00%
227	Nauru	NR	10 824	0,63%	68	541	20					0,00%
228	Saint Barthelemy	BL	9 877	0,30%	30	470	21				0%	0,00%
229	Saint Helena	SH	6 077	0,30%	18	16	390				27%	0,00%
230	Saint Pierre and Miquelon	PM	5 794	-0,48%	-28	25	230				100%	0,00%
231	Montserrat	MS	4 992	0,06%	3	50	100				10%	0,00%
232	Falkland Islands	FK	348	3,05%	103	0	1 217				66%	0,00%
233	Niue	NU	1 626	0,68%	11	6	260				46%	0,00%
234	Tokelau	TK	1 357	1,27%	17	136	10				0%	0,00%
235	Vatican City	VA	801	0,25%	2	2003	0					0,00%
236	Others	XX
237	# Undefined	XY

Last Updated on 10. November 2020

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